<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJOG</journal-id><journal-title-group><journal-title>Open Journal of Obstetrics and Gynecology</journal-title></journal-title-group><issn pub-type="epub">2160-8792</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojog.2020.1030034</article-id><article-id pub-id-type="publisher-id">OJOG-99007</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Profile of Glycated Hemoglobin in Non-Diabetic Pregnant Women with Preeclampsia: A Case-Control Study in Kinshasa, the Democratic Republic of Congo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Guelord</surname><given-names>Mukiapini Luzolo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dophie</surname><given-names>Tshibuela Beya</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Daddy</surname><given-names>Kabamba Numbi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Passy</surname><given-names>Kimena Nyota</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Placide</surname><given-names>Cyanga Ngandu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Blaise</surname><given-names>Sumbu Matondo Manzambi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Aliocha</surname><given-names>Nkodila Natuhoyila</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mamy</surname><given-names>Ngole Zita</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gustave</surname><given-names>Ilunga Ntita</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mireille</surname><given-names>Nganga Nkanga</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jérémie</surname><given-names>Muwonga Masidi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Donatien</surname><given-names>Kayembe Nzongola-Nkasu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dieudonné</surname><given-names>Sengeyi Mushengezi</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Arsene</surname><given-names>Mputu Lobota</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Baudouin</surname><given-names>Buassa-Bu-Tsumbu</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cathy</surname><given-names>Ali Risasi</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fons</surname><given-names>Verdonck</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bernard</surname><given-names>Spitz</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jean</surname><given-names>Pierre Elongi Moyene</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Département de Biologie Clinique, Hopital Général de Référence de Kinshasa, Kinshasa, Congo</addr-line></aff><aff id="aff3"><addr-line>Département de Gynécologie-Obstétrique, Cliniques Universitaires de Kinshasa, Kinshasa, Congo</addr-line></aff><aff id="aff1"><addr-line>Département de Biologie Médicale, Service de Biologie Clinique, Cliniques Universitaires de Kinshasa, Kinshasa, Congo</addr-line></aff><aff id="aff5"><addr-line>Department of Physiology, KU Leuven, Belgium</addr-line></aff><aff id="aff7"><addr-line>Département de Gynécologie-Obstétrique, Hopital Général de Référence de Kinshasa, Kinshasa, Congo</addr-line></aff><aff id="aff2"><addr-line>Département de Médecine interne, Cliniques Universitaires de Kinshasa, Kinshasa, Congo</addr-line></aff><aff id="aff6"><addr-line>Department of Gynecology-Obstetrics, KU Leuven, Belgium</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>03</month><year>2020</year></pub-date><volume>10</volume><issue>03</issue><fpage>365</fpage><lpage>389</lpage><history><date date-type="received"><day>17,</day>	<month>February</month>	<year>2020</year></date><date date-type="rev-recd"><day>20,</day>	<month>March</month>	<year>2020</year>	</date><date date-type="accepted"><day>23,</day>	<month>March</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: 
  A disturbed glucose metabolism is quite common during pregnancy. It is due to the diabetogenic potential of pregnancy and responsible for many obstetric complications. The glycated hemoglobin is one of the markers used to depict these disorders. Higher concentrations of this marker would be associated with unfavorable results of pregnancy. 
  <b>Objective: </b>
  To describe the profile of HbA1c in non-diabetic preeclamptic pregnant women and to establish the association between the values of this marker and the
   
  maternal and fetal complications. 
  <b>Materials and Method: </b>
  This is a case-control study of 142 pregnant women in their second and third trimester. They
   
  were followed in the maternity hospitals of University Clinics and the General Reference Hospital in Kinshasa, Democratic Republic of Congo
   
  between May and October 2019. The sampling of preeclamptic pregnant women was exhaustive. Controls were healthy pregnant women carrying pregnancies of the same type and of the same gestational age as the cases. Ultimately, 71 were preeclamptic and 71 healthy (controls). HbA1c was determined by immunoturbidimetry. 
  <b>Results: </b>
  A total of 142 pregnant women took part in this study consisting of 71 preeclamptic women (cases) and 71 healthy pregnant women (controls). The average age of these pregnant women was 28.8
   
  &#177;
   
  6.8 (28.2 &#177; 6.8 years vs 29.5 &#177; 6.8 years p = 0.559), with an average parity of 2.3
   
  &#177;
   
  1.5 (2.2 &#177; 1.7 vs 2.4 &#177; 1.2, p = 0.005). The majority were carriers of monofoetal pregnancy. Higher HbA1c values were observed in the
   
  preeclamptic pregnant women compared to the controls (5.7 &#177; 1.3% vs 4.8 &#177; 0.7%, 
  p
   &lt;
   
  0.001). The proportion of pregnant women with pathological HbA1c values (&gt;5.6%) was also higher in the group of preeclamptic pregnant women (46.5% vs 9.9%, p &lt; 0.001), especially in those with complications. In the multivariate analysis, an association was established between high HbA1c values and preeclampsia [(OR 6.48 (2.48 - 16.93) p &lt; 0.001]. 
  <b>Conclusion: </b>
  This study established that 46.5% of non-diabetic pregnant women with preeclampsia have high HbA1c values, which moreover are associated with preeclampsia and its complications. Systematic screening is essential for detecting preeclampsia or diabetes or both.
 
</p></abstract><kwd-group><kwd>HbA1c</kwd><kwd> Preeclampsia</kwd><kwd> Prognosis</kwd><kwd> Congo</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>A disturbed glucose metabolism is quite common during pregnancy. It is linked to the diabetogenic potential of pregnancy and increase in the second half of gestation [<xref ref-type="bibr" rid="scirp.99007-ref1">1</xref>] - [<xref ref-type="bibr" rid="scirp.99007-ref6">6</xref>]. It may cause many complications including fetal malformations, prematurity, fetal death in utero, fetal macrosomia, preeclampsia and so on. In a large epidemiological study of 25,000 pregnant women, the risk of maternal and neonatal complications has been shown to increase linearly with maternal blood glycaemia [<xref ref-type="bibr" rid="scirp.99007-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref10">10</xref>]. Furthermore, the International Diabetes Federation estimated the overall prevalence of hyperglycaemia during pregnancy at 16.9%, which more than justifies systematic screening [<xref ref-type="bibr" rid="scirp.99007-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref12">12</xref>]. Different strategies can highlight these glycemic disorders, including the determination of glycated hemoglobin (HbA1c) [<xref ref-type="bibr" rid="scirp.99007-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref15">15</xref>]. Many studies revealed that the increase in the level of HbA1c during pregnancy is closely associated with the unfavorable results and that its dosage is significant importance in the monitoring of complications of pregnancy, particularly that of preeclampsia [<xref ref-type="bibr" rid="scirp.99007-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref18">18</xref>]. Preeclampsia is one of the major causes of maternal and perinatal morbidity and mortality in developing countries, and, it’s responsible for nearly 50,000 deaths in women each year [<xref ref-type="bibr" rid="scirp.99007-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref20">20</xref>]. It is characterized by the association of high blood pressure and proteinuria occurring from the 20th week of gestation [<xref ref-type="bibr" rid="scirp.99007-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref22">22</xref>]. In sub-Saharan Africa, the prevalence of this hypertensive pregnancy disorder remains very high and variable, reaching up to almost 20% of cases [<xref ref-type="bibr" rid="scirp.99007-ref23">23</xref>]. Although the main cause of this condition remains even less well known, many studies agree on the role played by oxidative stress in the occurrence of this condition [<xref ref-type="bibr" rid="scirp.99007-ref24">24</xref>] - [<xref ref-type="bibr" rid="scirp.99007-ref28">28</xref>]. The results obtained from numerous studies note that the prevalence of the disease is quite high in pregnant women with hyperglycaemia [<xref ref-type="bibr" rid="scirp.99007-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref30">30</xref>]. The oxidative stress generated at all stages of protein glycation and during the formation of HbA1c would be favorable for the occurrence of preeclampsia and its complications. In addition, some studies report an association between high levels of HbA1c and anti-angiogenic factors implicated in the occurrence of preeclampsia [<xref ref-type="bibr" rid="scirp.99007-ref31">31</xref>]. More recently, a very significant association has been established between elevated levels of protein glycation end products (AGE: Advanced glycation end-products) with preeclampsia [<xref ref-type="bibr" rid="scirp.99007-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref34">34</xref>].</p><p>Thus, the evaluation of HbA1c in pregnant women with pre-eclampsia is essential to detect the hyperglycaemia states that may be associated and to research the influence of this marker on the prognosis of the disease.</p><p>The present study aims to describe the profile of HbA1c in non-diabetic pregnant women and to establish the association between the values of this marker with maternal and fetal complications.</p></sec><sec id="s2"><title>2. Materials and Method</title><p>This is a case-control study involving 71 preeclamptic women (cases) and 71 non-preeclamptic women (controls) matched for gestational age, between May and October 2019. The study population comprised black non-diabetic preeclamptic women from two hospitals (University Clinics and the Kinshasa General Reference Hospital), in the Democratic Republic of the Congo. The sampling of preeclamptic pregnant women was exhaustive. Controls were healthy pregnant women carrying pregnancies of the same type and of the same gestational age as the cases. Ultimately, 71 were preeclamptic and 71 healthy (controls).</p><p>Diabetics pregnant, women with sickle cell anemia, and those with pathologies characterized by polycythemia were excluded from this study. Gestational age was calculated from the date of the last menstrual period in pregnant women with a regular menstrual cycle and from an early ultrasound in those who did not know their last menstrual dates or who had a history of spaniomenorrhea. Preeclampsia has been defined according to the criteria of the National High Blood Pressure Education Program of United States, namely the occurrence in the second part of the pregnancy of arterial hypertension (SAP ≥ 140 mmHg and DAP ≥ 90 mmHg) associated with proteinuria (quantitative ≥ 300 mg/24h or qualitative &gt; with a cross evaluated by the strip method) in a previously normotensive woman. Preeclampsia was considered moderate when SAP was ≥ 140 mmHg but &lt; 160 mmHg and the DAP was ≥ 90 mmHg but &lt; 110 mmHg and in the absence of signs of severity. It was severe when the SAP was ≥ 160 mmHg and/or the DAP ≥ 110 mmHg or also in front of a hypertension associated with the following signs of severity: epigastric pain, nausea, vomiting, headache in helmet, osteotendinous hyperreflexia, headache, dizziness, blurred vision, ringing in the ears, convulsions, signs of acute lung edema, oliguria (&lt;20 ml/H), or in front of serum creatinine &gt; 100 μmol/L, of increase of liver transaminases &gt; 3 times the normal value, of thrombocytopenia &lt; 100,000/mm<sup>3</sup>.</p><p>The controls were healthy pregnant women carrying pregnancies of the same gestational age as the preeclamptics.</p><p>The socio-demographic characteristics, the clinical data as well as the biological parameters were noted in all those pregnant women and included maternal age, medical history, obstetric history, gestational age, type of pregnancy, clinical form of preeclampsia, maternal and fetal complications.</p><p>Hyperglycemia and High glycated hemoglobin A1C were defined by value ≥ 92 md/dl and ≥ 5.6% respectively [<xref ref-type="bibr" rid="scirp.99007-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref35">35</xref>]. The ranges considered normal were for urea 10 - 42 mg/dl; for creatinine 0.5 - 2 mg/dl, for GOT 5 - 41 IU/L, and for GPT 0 - 38 IU/L. The reference value of hematological parameters is those used in our country. The assays of biological parameters were carried out in the clinical biology laboratory of the General Reference Hospital of Kinshasa and concerned the levels of glycated hemoglobin HbA1c (%), of the fasting glycemia (mg/dl), of the urea (mg/dl), creatinine (mg/dl), GOT (IU/l), GPT (IU/l), hemoglobin (g%), hematocrit (%), the red blood cell count (elements/10<sup>6</sup>), white blood cells count (elements/mm<sup>3</sup>) and platelets (elements/10<sup>3</sup>). The haematological analyzes for the determination of hemoglobin and hematocrit as well as for the counting of platelets and red blood cells were carried out using the Mindray BC 52 analyzer which uses the principle of colorimetry for the determination of hemoglobin, flow cytometry and impedance for red blood cell and platelet count. The determination of glycated hemoglobin (HbA1c) was carried out on whole blood by the turbidimetry technique of the TINIA type (turbidimetric inhibition immunoassay) using a COBAS C111 brand analyzer [<xref ref-type="bibr" rid="scirp.99007-ref36">36</xref>]. The fasting blood glycaemia test was carried out using the Cobas C111 analyzer. SICKLE SCAN [<xref ref-type="bibr" rid="scirp.99007-ref37">37</xref>] was applied to find sickle cell anemia among these women. Obstetric ultrasound and fetal monitoring (NST) were used to establish the fetal well-being score (Manning score) and to search for fetal complications such as fetal growth retardation, fetal distress and death in utero.</p><p>The determination of urea and that of creatinine were carried out by the enzymatic methods of urease and creatininase respectively. The GOT and GPT transaminases were assayed by the kinetic method. Obstetric ultrasound and fetal monitoring (NST) were used to establish the fetal well-being score (Manning score) and to search for fetal complications such as fetal growth retardation, fetal distress and death in utero.</p><p>To carry out this study, we received the approval of the ethical committees of the school of public health of the faculty of Medicine of the University of Kinshasa. Only those pregnant women who freely expressed their consent were selected for the study.</p><p>The variables of interest were socio-demographic characteristics, the clinical data as well as the biological parameters were noted in all those pregnant women and mainly maternal age, medical history, obstetric history, gestational age, type of pregnancy, clinical form of preeclampsia, maternal and fetal complications.</p></sec><sec id="s3"><title>3. Processing and Analysis of Statistical Data</title><p>Statistical Analyzes</p><p>The statistics used to describe the variables were means &#177; standard deviation for continuous quantitative variables with symmetric distribution. Qualitative variables have been described in terms of absolute (n) and/or relative frequency (%). For the analyses, the comparison of the means was carried out using the Student’s t-test. Pearson’s Chi-square or Fisher’s exact test, as appropriate, was applied to compare the proportions. The linear regression test was applied to check the correlation between HbA1c and glycaemia. The linear regression coefficient in simple analysis was calculated to assess the association between HbA1c and glycaemia. Logistic regression was used to identify the factors associated with elevated HbA1c levels. Only the variables significantly associated with high HbA1c levels in univariate analysis were tested in multivariate analysis. The adjusted Odds-ratios (aOR) and their 95% confidence intervals (CI) were reported to estimate the association between the independent variables and the dependent variable. The value of p &lt; 0.05, p was considered statistically significant.</p></sec><sec id="s4"><title>4. Results</title><p>A total of 142 pregnant women took part in this study consisting of 71 preeclamptic women (cases) and 71 healthy pregnant women (controls).</p><p>The socio-demographic characteristics of all these women are shown in <xref ref-type="table" rid="table1">Table 1</xref>. No significant difference is noted when comparing the two groups according to age, marital status, type of marriage and place of residence.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution according to socio-demographic characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >All n = 142</th><th align="center" valign="middle" >PE n = 71</th><th align="center" valign="middle" >Controls n = 71</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" >28.8 &#177; 6.8</td><td align="center" valign="middle" >28.2 &#177; 6.8</td><td align="center" valign="middle" >29.5 &#177; 6.8</td><td align="center" valign="middle" >0.559</td></tr><tr><td align="center" valign="middle" >≤20</td><td align="center" valign="middle" >18 (12.7)</td><td align="center" valign="middle" >11 (15.5)</td><td align="center" valign="middle" >7 (9.9)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >21 - 34</td><td align="center" valign="middle" >93 (65.5)</td><td align="center" valign="middle" >46 (64.8)</td><td align="center" valign="middle" >47 (66.2)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥35</td><td align="center" valign="middle" >31 (21.8)</td><td align="center" valign="middle" >14 (19.7)</td><td align="center" valign="middle" >17 (23.9)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.372</td></tr><tr><td align="center" valign="middle" >Maried</td><td align="center" valign="middle" >132 (93.0)</td><td align="center" valign="middle" >65 (91.5)</td><td align="center" valign="middle" >67 (94.4)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >10 (7.0)</td><td align="center" valign="middle" >6 (8.5)</td><td align="center" valign="middle" >4 (5.6)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Type of marriage</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.117</td></tr><tr><td align="center" valign="middle" >Monogamy</td><td align="center" valign="middle" >128 (97.0)</td><td align="center" valign="middle" >62 (95.4)</td><td align="center" valign="middle" >66 (98.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Polygamy</td><td align="center" valign="middle" >4 (3.1)</td><td align="center" valign="middle" >3 (4.6)</td><td align="center" valign="middle" >1 (1.5)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Data are expressed as mean &#177; standard deviation or absolute and relative frequency in % between brackets.</p><p>It appears however from the results of <xref ref-type="table" rid="table2">Table 2</xref> that primigestity, primiparity, as well as the history of preeclampsia are mainly found in pregnant women with preeclampsia compared to controls (p &lt; 0.05).</p><p><xref ref-type="table" rid="table3">Table 3</xref> gives the characteristics of pregnancy in the two groups. There is a perfect pairing of two study groups in terms of gestational age.</p><p><xref ref-type="table" rid="table4">Table 4</xref> shows the clinical data for pregnant women in the two groups. We also note in pre-eclamptic pregnant women the presence of certain serious clinical signs such as convulsions, coma, headache, dizziness, blurred vision not found in the controls.</p><p>As illustrated in <xref ref-type="fig" rid="fig1">Figure 1</xref>, severe preeclampsia was the most common clinical form in pregnant women compared to moderate preeclampsia (62% vs. 38%, p &lt; 0.001).</p><p>It appears from the results in <xref ref-type="table" rid="table5">Table 5</xref> that among the many complications observed in pregnant women with preeclampsia, eclampsia was the most common</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Medico-gyneco-obstetric antecedents</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >All n = 142</th><th align="center" valign="middle" >PE n = 71</th><th align="center" valign="middle" >Controls n = 71</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" >2.3 &#177; 1.5</td><td align="center" valign="middle" >2.2 &#177; 1.7</td><td align="center" valign="middle" >2.4 &#177; 1.2</td><td align="center" valign="middle" >0.005</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >48 (33.8)</td><td align="center" valign="middle" >29 (40.8)</td><td align="center" valign="middle" >19 (26.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >2 - 3</td><td align="center" valign="middle" >65 (45.8)</td><td align="center" valign="middle" >28 (39.4)</td><td align="center" valign="middle" >37 (52.1)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥4</td><td align="center" valign="middle" >29 (20.4)</td><td align="center" valign="middle" >14 (19.7)</td><td align="center" valign="middle" >15 (21.1)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Gestity</td><td align="center" valign="middle" >3.6 &#177; 1.6</td><td align="center" valign="middle" >3.5 &#177; 1.7</td><td align="center" valign="middle" >3.7 &#177; 1.3</td><td align="center" valign="middle" >0.035</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >10 (7.0)</td><td align="center" valign="middle" >9 (12.7)</td><td align="center" valign="middle" >1 (1.4)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >2 - 3</td><td align="center" valign="middle" >62 (43.7)</td><td align="center" valign="middle" >30 (42.3)</td><td align="center" valign="middle" >32 (45.1)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥4</td><td align="center" valign="middle" >70 (49.3)</td><td align="center" valign="middle" >32 (45.1)</td><td align="center" valign="middle" >38 (53.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Preeclampsia</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.045</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >122 (85.9)</td><td align="center" valign="middle" >57 (80.3)</td><td align="center" valign="middle" >65 (91.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >20 (14.1)</td><td align="center" valign="middle" >14 (19.7)</td><td align="center" valign="middle" >6 (8.5)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Data are expressed as mean &#177; standard deviation or absolute and relative frequency in % between brackets.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Characteristic of pregnancy</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >All n = 142</th><th align="center" valign="middle" >PE n = 71</th><th align="center" valign="middle" >n = 71</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >Age of pregnancy</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.036</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >18 (12.7)</td><td align="center" valign="middle" >5 (7.0)</td><td align="center" valign="middle" >13 (18.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >124 (87.3)</td><td align="center" valign="middle" >66 (93.0)</td><td align="center" valign="middle" >58 (81.7)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Type of pregnancy</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.060</td></tr><tr><td align="center" valign="middle" >Monofoetal</td><td align="center" valign="middle" >138 (97.2)</td><td align="center" valign="middle" >67 (94.4)</td><td align="center" valign="middle" >71 (100.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Twins</td><td align="center" valign="middle" >4 (2.8)</td><td align="center" valign="middle" >4 (5.6)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Data are expressed as absolute and relative frequency in % between brackets.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Patient complaints and parameters</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >All n = 142</th><th align="center" valign="middle" >PE n = 71</th><th align="center" valign="middle" >Controls n = 71</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >High bloodpresure</td><td align="center" valign="middle" >71 (50.0)</td><td align="center" valign="middle" >71 (100.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Proteinuria</td><td align="center" valign="middle" >71 (50.0)</td><td align="center" valign="middle" >71 (100.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Edema</td><td align="center" valign="middle" >72 (50.7)</td><td align="center" valign="middle" >63 (88.7)</td><td align="center" valign="middle" >9 (12.7)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Headaches</td><td align="center" valign="middle" >52 (36.6)</td><td align="center" valign="middle" >52 (73.2)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Dizziness</td><td align="center" valign="middle" >31 (21.8)</td><td align="center" valign="middle" >31 (43.7)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Blurred vision</td><td align="center" valign="middle" >9 (6.3)</td><td align="center" valign="middle" >9 (12.7)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Convulsion</td><td align="center" valign="middle" >52 (36.6)</td><td align="center" valign="middle" >52 (73.2)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >SBP</td><td align="center" valign="middle" >120.0 &#177; 8.4</td><td align="center" valign="middle" >191.6 &#177; 25.8</td><td align="center" valign="middle" >109.9 &#177; 21.5</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >DBP</td><td align="center" valign="middle" >76.5 &#177; 8.4</td><td align="center" valign="middle" >110.6 &#177; 14.4</td><td align="center" valign="middle" >72.6 &#177; 9.2</td><td align="center" valign="middle" >&lt;0.001</td></tr></tbody></table></table-wrap><p>Data are expressed as mean &#177; standard deviation or absolute and relative frequency in % between brackets.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Complications of preeclampsia</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Complications</th><th align="center" valign="middle" >Effective (n = 71)</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Maternal</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Eclampsia</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >73.2</td></tr><tr><td align="center" valign="middle" >HELLP Syndrome</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >19.7</td></tr><tr><td align="center" valign="middle" >Acute renal failure</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >7.0</td></tr><tr><td align="center" valign="middle" >Placental abruption</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >7.0</td></tr><tr><td align="center" valign="middle" >Retinopathy</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.8</td></tr><tr><td align="center" valign="middle" >Acute edema of the lung</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.4</td></tr><tr><td align="center" valign="middle" >Pulmonary embolism</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.4</td></tr><tr><td align="center" valign="middle" >Abortion</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.4</td></tr><tr><td align="center" valign="middle" >N&#233;onatal</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Acute fetal pain</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >62.0</td></tr><tr><td align="center" valign="middle" >Prematurity</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >26.8</td></tr><tr><td align="center" valign="middle" >Intrauterine growth retardation</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >9.9</td></tr><tr><td align="center" valign="middle" >Fetal death</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >5.6</td></tr><tr><td align="center" valign="middle" >Oligohydramnios</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.8</td></tr></tbody></table></table-wrap><p>complication in the mother, while on the fetal side, it was acute fetal distress and prematurity.</p><p>The blood parameter values are shown in <xref ref-type="table" rid="table6">Table 6</xref>. There are high levels of hepatic transaminases in preeclamptic pregnant women compared to controls (GOT: 48.3 &#177; 5.9% IU/L vs 24.3 &#177; 9.1% IU/L, p = 0.001, GPT: 38.6 &#177; 4.7% IU/L vs 13.8 &#177; 6.9% IU/L, p = 0.000). The same result could be found for the leukocyte count, whose values are higher in the preeclampticswomen than in the controls (9766.2 &#177; 432.1 elements/mm<sup>3</sup> vs 6424.0 &#177; 179.6 elements/mm<sup>3</sup>, p &lt; 0.001). A significant decrease in platelet count is observed in pre-eclamptic pregnant women compared to controls (167.8 &#177; 74.3 elements/mm<sup>3</sup> vs 228.8 &#177; 56.4 elements/mm<sup>3</sup>, p &lt; 0.001). The average fasting glycaemia is 88.4 &#177; 28.8 mg% in the whole population. It is higher in preeclamptic pregnant women than in controls (95.0 &#177; 35.6 mg/dl vs 81.8 &#177; 17.3 mg/dl, p = 0.006). Higher values of HbA1c are observed in pre-eclamptic pregnant women compared to controls (5.7 &#177; 1.3% vs 4.8 &#177; 0.7%, p &lt; 0.001).</p><p>It emerges from the analysis of <xref ref-type="fig" rid="fig2">Figure 2</xref> below that the proportion of preeclamptic pregnant women with pathological values of fasting glycaemia (≥92 mg/dl) was comparable to that of the controls 34% vs 24%, p = 0.133).</p><p>However, the proportion of pregnant women with pathological HbA1c values (&gt;5.6%) was significantly higher in the group of preeclamptic pregnant women compared to controls (46.5% vs 9.9%, p &lt; 0.001) (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>A positive and significant linear correlation is noted between the HbA1c level</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Paraclinical examinations</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >All n = 142</th><th align="center" valign="middle" >PE n = 71</th><th align="center" valign="middle" >Controls n = 71</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >HbA1c (%)</td><td align="center" valign="middle" >5.3 &#177; 1.1</td><td align="center" valign="middle" >5.7 &#177; 1.3</td><td align="center" valign="middle" >4.8 &#177; 0.7</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Glycemia (mg/dl)</td><td align="center" valign="middle" >88.4 &#177; 28.8</td><td align="center" valign="middle" >95.0 &#177; 35.6</td><td align="center" valign="middle" >81.8 &#177; 17.3</td><td align="center" valign="middle" >0.006</td></tr><tr><td align="center" valign="middle" >Urea (mg/dl)</td><td align="center" valign="middle" >27.3 &#177; 11.3</td><td align="center" valign="middle" >32.7 &#177; 13.8</td><td align="center" valign="middle" >22.0 &#177; 9.3</td><td align="center" valign="middle" >0.022</td></tr><tr><td align="center" valign="middle" >Creatininemia (mg/dl)</td><td align="center" valign="middle" >1.06 &#177; 0.6</td><td align="center" valign="middle" >1.3 &#177; 0.8</td><td align="center" valign="middle" >0.78 &#177; 0.30</td><td align="center" valign="middle" >0.010</td></tr><tr><td align="center" valign="middle" >GOT (UI/l)</td><td align="center" valign="middle" >36.4 &#177; 7.2</td><td align="center" valign="middle" >48.3 &#177; 5.9</td><td align="center" valign="middle" >24.3 &#177; 9.1</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >GPT (UI/l)</td><td align="center" valign="middle" >26.2 &#177; 5.6</td><td align="center" valign="middle" >38.6 &#177; 4.7</td><td align="center" valign="middle" >13.8 &#177; 6.9</td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle" >Hb (g%)</td><td align="center" valign="middle" >10.3 &#177; 1.6</td><td align="center" valign="middle" >10.0 &#177; 1.7</td><td align="center" valign="middle" >10.6 &#177; 1.5</td><td align="center" valign="middle" >0.030</td></tr><tr><td align="center" valign="middle" >Hct (%)</td><td align="center" valign="middle" >30.5 &#177; 4.6</td><td align="center" valign="middle" >30.0 &#177; 5.2</td><td align="center" valign="middle" >30.9 &#177; 3.9</td><td align="center" valign="middle" >0.228</td></tr><tr><td align="center" valign="middle" >RBC (&#233;lts/10<sup>6</sup>)</td><td align="center" valign="middle" >3.56 &#177; 0.65</td><td align="center" valign="middle" >3.62 &#177; 0.7</td><td align="center" valign="middle" >3.50 &#177; 0.7</td><td align="center" valign="middle" >0.253</td></tr><tr><td align="center" valign="middle" >MCV (fl)</td><td align="center" valign="middle" >82.2 &#177; 7.1</td><td align="center" valign="middle" >81.7 &#177; 7.3</td><td align="center" valign="middle" >81.1 &#177; 0.8</td><td align="center" valign="middle" >0.344</td></tr><tr><td align="center" valign="middle" >MCHC</td><td align="center" valign="middle" >33.3 &#177; 1.7</td><td align="center" valign="middle" >33.0 &#177; 1.7</td><td align="center" valign="middle" >33.8 &#177; 1.5</td><td align="center" valign="middle" >0.013</td></tr><tr><td align="center" valign="middle" >MCH</td><td align="center" valign="middle" >28.0 &#177; 2.7</td><td align="center" valign="middle" >28.0 &#177; 2.9</td><td align="center" valign="middle" >28.0 &#177; 2.4</td><td align="center" valign="middle" >0.988</td></tr><tr><td align="center" valign="middle" >WBC (&#233;lts/mm<sup>3</sup>)</td><td align="center" valign="middle" >8095.1 &#177; 369.9</td><td align="center" valign="middle" >9766.2 &#177; 432.1</td><td align="center" valign="middle" >6424.0 &#177; 179.6</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >PLT (&#233;lts/10<sup>3</sup>)</td><td align="center" valign="middle" >198.3 &#177; 72.5</td><td align="center" valign="middle" >167.8 &#177; 74.3</td><td align="center" valign="middle" >228.8 &#177; 56.4</td><td align="center" valign="middle" >&lt;0.001</td></tr></tbody></table></table-wrap><p>Data are expressed as mean &#177; standard deviation or absolute and relative frequency in % between brackets.</p><p>and the fasting glycaemia. This correlation is 88% (r = 0.881) as shown in <xref ref-type="fig" rid="fig4">Figure 4</xref> below.</p><p><xref ref-type="table" rid="table7">Table 7</xref> gives the clinical characteristics as a function of HbA1c values in preeclamptic pregnant women. It appears that a pathological values of HbA1c (&gt;5.6%) is significantly (p &lt; 0.00) more common in pregnant women with a history of preeclampsia or arterial hypertension, in those with complications such as eclampsia, eclamptic prodromes and prematurity; but also significantly in pregnant women with pregnancies complicated by acute fetal distress (p = 0.023) and in those carrying twin pregnancies (p = 0.035).</p><p>Univariate analysis noted an association between high levels of HbA1c with preeclampsia (OR 7.94 (3.20 - 19.71) p &lt; 0.001), with multigestity (OR 3.50 (1.89 - 7.70) p = 0.020), and with carrying a twin pregnancy (OR 3.19 (2.83 - 8.22) p = 0.024). This association is also observed in multivariate analysis, between high levels of HbA1c with preeclampsia (OR 6.48 (2.48 - 16.93), and multigestity (OR 2.94 (1.16 - 7.54) p = 0.007) as shown in <xref ref-type="table" rid="table8">Table 8</xref>.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Clinical characteristics, maternal and fetal complications according to HbA1c values</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >HbA1C ≤ 5.6% n = 102</th><th align="center" valign="middle" >HbA1c &gt; 5.6% n = 40</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.117</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >32 (31.4)</td><td align="center" valign="middle" >16 (40.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >2 - 3</td><td align="center" valign="middle" >50 (49.0)</td><td align="center" valign="middle" >15 (37.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥4</td><td align="center" valign="middle" >20 (19.6)</td><td align="center" valign="middle" >9 (22.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Gestity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.039</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >4 (3.9)</td><td align="center" valign="middle" >6 (15.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >2 - 3</td><td align="center" valign="middle" >49 (48.0)</td><td align="center" valign="middle" >13 (32.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥4</td><td align="center" valign="middle" >49 (48.0)</td><td align="center" valign="middle" >21 (52.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Antecedentof preeclampsia</td><td align="center" valign="middle" >8 (7.8)</td><td align="center" valign="middle" >12 (30.0)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Headaches</td><td align="center" valign="middle" >28 (27.5)</td><td align="center" valign="middle" >24 (60.0)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Dizziness</td><td align="center" valign="middle" >14 (13.7)</td><td align="center" valign="middle" >17 (42.5)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Blurred vision</td><td align="center" valign="middle" >5 (4.9)</td><td align="center" valign="middle" >4 (10.0)</td><td align="center" valign="middle" >0.224</td></tr><tr><td align="center" valign="middle" >Eclampsia</td><td align="center" valign="middle" >24 (23.5)</td><td align="center" valign="middle" >28 (70)</td><td align="center" valign="middle" >&lt;0,001</td></tr><tr><td align="center" valign="middle" >Type of pregnancy</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.035</td></tr><tr><td align="center" valign="middle" >Monofoetal</td><td align="center" valign="middle" >101 (99.0)</td><td align="center" valign="middle" >37 (92.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Twins</td><td align="center" valign="middle" >1 (1.0)</td><td align="center" valign="middle" >3 (7.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >R&#233;tinopathy</td><td align="center" valign="middle" >1 (1.0)</td><td align="center" valign="middle" >1 (3.0)</td><td align="center" valign="middle" >0.717</td></tr><tr><td align="center" valign="middle" >Acute renal failure</td><td align="center" valign="middle" >2 (5.3)</td><td align="center" valign="middle" >3 (9.1)</td><td align="center" valign="middle" >0.432</td></tr><tr><td align="center" valign="middle" >Placental abruption</td><td align="center" valign="middle" >4 (10.5)</td><td align="center" valign="middle" >1 (3.0)</td><td align="center" valign="middle" >0.226</td></tr><tr><td align="center" valign="middle" >Prematurity</td><td align="center" valign="middle" >5 (13.2)</td><td align="center" valign="middle" >14 (42.4)</td><td align="center" valign="middle" >0.006</td></tr><tr><td align="center" valign="middle" >Acute fetal pain</td><td align="center" valign="middle" >19 (50.0)</td><td align="center" valign="middle" >25 (75.8)</td><td align="center" valign="middle" >0.023</td></tr><tr><td align="center" valign="middle" >Intra uterin growth retardation</td><td align="center" valign="middle" >3 (7.9)</td><td align="center" valign="middle" >4 (12.1)</td><td align="center" valign="middle" >0.420</td></tr><tr><td align="center" valign="middle" >Fetal death in utero</td><td align="center" valign="middle" >2 (5.3)</td><td align="center" valign="middle" >2 (6.1)</td><td align="center" valign="middle" >0.638</td></tr><tr><td align="center" valign="middle" >Liver injury</td><td align="center" valign="middle" >5 (13.2)</td><td align="center" valign="middle" >9 (27.3)</td><td align="center" valign="middle" >0.117</td></tr></tbody></table></table-wrap><p>The data are expressed as absolute and relative frequency in % between brackets.</p><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Risk factors associated with HbA1c</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Factors</th><th align="center" valign="middle"  colspan="2"  >Univariate analysis</th><th align="center" valign="middle"  colspan="2"  >Multivariate analysis</th></tr></thead><tr><td align="center" valign="middle" >p</td><td align="center" valign="middle" >OR (IC95)</td><td align="center" valign="middle" >p</td><td align="center" valign="middle" >ORa (IC95)</td></tr><tr><td align="center" valign="middle" >Status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >PE</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >7.94 (3.20 - 19.71)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >6.48 (2.48 - 16.93)</td></tr><tr><td align="center" valign="middle" >Pregnancy type</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Monofoetal</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Twins</td><td align="center" valign="middle" >0.024</td><td align="center" valign="middle" >3.19 (2.83 - 8.22)</td><td align="center" valign="middle" >0.982</td><td align="center" valign="middle" >1.38 (0.67 - 3.47)</td></tr><tr><td align="center" valign="middle" >Gestity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >2 - 3</td><td align="center" valign="middle" >0.238</td><td align="center" valign="middle" >1.62 (0.28 - 2.37)</td><td align="center" valign="middle" >0.790</td><td align="center" valign="middle" >1.27 (0.22 - 3.53)</td></tr><tr><td align="center" valign="middle" >≥4</td><td align="center" valign="middle" >0.020</td><td align="center" valign="middle" >3.50 (1.89 - 7.70)</td><td align="center" valign="middle" >0.007</td><td align="center" valign="middle" >2.94 (1.16 - 7.54)</td></tr></tbody></table></table-wrap></sec><sec id="s5"><title>5. Discussion</title><p>The objective of study was to establish an association between glycated hemoglobin (HbA1c) in the second and third trimester of pregnancy with the occurrence of preeclampsia and to investigate the influence of these glycated hemoglobin on the maternal and fetal prognosis. The reference value for the HbA1c used was 5.6% [<xref ref-type="bibr" rid="scirp.99007-ref35">35</xref>]. It emerges from this study that in the absence of a proven diabetes mellitus context, preeclamptic women had higher HbA1c values compared to non-preeclampsia pregnant women. Pathological values of HbA1c (&gt;5.6%) are very significantly associated with preeclampsia and its complications. These results thus obtained underline the importance of regular glycemic controls to prevent these complications.</p><sec id="s5_1"><title>5.1. Glucose Metabolism and Preeclampsia</title><p>Preeclampsia remains one of the major causes of maternal and perinatal morbidity and mortality in developing countries where it kills nearly 50,000 women each year [<xref ref-type="bibr" rid="scirp.99007-ref20">20</xref>]. Although its main cause is largely unknown, numerous studies agree on the role played by oxidative stress [<xref ref-type="bibr" rid="scirp.99007-ref24">24</xref>] - [<xref ref-type="bibr" rid="scirp.99007-ref28">28</xref>]. Epidemiological studies show that hyperglycemic disorders occurring during pregnancy are a risk factor for the development of preeclampsia even outside of proven diabetes mellitus [<xref ref-type="bibr" rid="scirp.99007-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref30">30</xref>]. These hyperglycemic disorders linked to the diabetogenic potential of pregnancy are the consequence of the anti-insulinogenic and lipolytic activity of the somatotropic chorionic hormone, prolactin, cortisol and glucagon whose concentrations increase in the second half of gestation [<xref ref-type="bibr" rid="scirp.99007-ref1">1</xref>] - [<xref ref-type="bibr" rid="scirp.99007-ref6">6</xref>]. In 2013, the International Diabetes Federation estimated the overall prevalence of hyperglycemia during pregnancy at 16.9% [<xref ref-type="bibr" rid="scirp.99007-ref12">12</xref>]. To date, several strategies have been used to detect these disorders, including oral provoked hyperglycemia test, fasting glycemia, as well as the determination of glycated hemoglobin HbA1c [<xref ref-type="bibr" rid="scirp.99007-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref39">39</xref>].</p></sec><sec id="s5_2"><title>5.2. Glycemia and Glycated Hemoglobin Profile in Healthy and in Non-Diabetic Preeclamptic Women</title><p>In this study, we used fasting glycemia and HbA1c determination. Although the oral hyperglycemia test remains one of the most widely used dynamic tests for the detection of carbohydrate intolerance, the difficulties associated with the supply of anhydrous glucose, its conservation and its cost limited the realization of this test during the present study. Fasting glycemia was measured by the hexokinase method which is a reference method [<xref ref-type="bibr" rid="scirp.99007-ref40">40</xref>]. The threshold value used is that proposed by ADA and adopted by WHO, 92 mg/dl [<xref ref-type="bibr" rid="scirp.99007-ref41">41</xref>]. The results obtained from the HAPO study (Hyperglycaemia and Adverse Pregnancy Outcomes) and those of other studies have shown that this value is the threshold at which maternal glycemia levels are frequently associated with unfavorable pregnancy outcomes [<xref ref-type="bibr" rid="scirp.99007-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref42">42</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref43">43</xref>]. The determination of glycated hemoglobin was carried out by the immunoturbidimetry technique using a COBAS C111 brand analyzer [<xref ref-type="bibr" rid="scirp.99007-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref44">44</xref>]. The choice of the HbA1c dosage is justified by the fact that it reflects the state of glycemia during the 2 to 3 months preceding the measurement [<xref ref-type="bibr" rid="scirp.99007-ref45">45</xref>], its dosage is reproducible and its level is not influenced by the time of blood collection or by fasting status or by any hypo or hyperglycemic treatment [<xref ref-type="bibr" rid="scirp.99007-ref46">46</xref>]. In addition, the oxidative stress generated during the formation of HbA1c would be favorable for the occurrence of preeclampsia and its complications [<xref ref-type="bibr" rid="scirp.99007-ref47">47</xref>] - [<xref ref-type="bibr" rid="scirp.99007-ref51">51</xref>]. In order to avoid errors of interpretation linked to the shortening of the duration of red blood cells, we excluded from this study the cases of sickle cell anemia, the hemoglobinopathy most encountered in our population [<xref ref-type="bibr" rid="scirp.99007-ref52">52</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref53">53</xref>]. The results of the study by Arl&#232;ne et al. [<xref ref-type="bibr" rid="scirp.99007-ref54">54</xref>] as well as those of many authors indicate that HbA1c is not a reliable indicator in the search for glycemic disorders in subjects suffering from sickle cell anemia. Regarding the reference value of HbA1c used in the present study, although no consensus was found on the reference ranges of HbA1c in healthy pregnant women, the results published by numerous authors indicate that healthy pregnant women have lower HbA1c concentrations than non-pregnant women. O’Kane et al. [<xref ref-type="bibr" rid="scirp.99007-ref55">55</xref>] have suggested HbA1C levels of 5.1%, 4.9% and 5.0% in the first, second and third trimester, respectively, in healthy pregnant women. Nielsen et al. [<xref ref-type="bibr" rid="scirp.99007-ref56">56</xref>] found reference ranges between 4.5 and 5.7% in the first trimester and between 4.4 and 5.6% in the second and third trimester. The results of the study by O’connor et al. [<xref ref-type="bibr" rid="scirp.99007-ref57">57</xref>] showed that the reference values of HbA1c in Caucasian pregnant women were between 4.3 and 5.4% in the first trimester, between 4.4 and 5.4% in the second trimester and between 4.7 and 5.7% in the third trimester. In their study, Versantvoort et al. [<xref ref-type="bibr" rid="scirp.99007-ref58">58</xref>] found HbA1c values in the range of 5.4, 5.5 and 5.8% in healthy pregnant women. These different results obtained in white women are sometimes misinterpreted.</p><p>In women of other races given the variability in HbA1c values related to race. We do not have any studies on glycated hemoglobin in pregnant black women. In a large study carried out in Mexico, S&#225;nchez-Gonz&#225;lez et al. [<xref ref-type="bibr" rid="scirp.99007-ref35">35</xref>] determined the HbA1c values of healthy pregnant women in the three trimesters of pregnancy. The calculated reference values were 5.6, 5.5 and 5.7%, respectively in the first, second and third trimester, with an average of 5.6%. We used the average of HbA1c found by S&#225;nchez-Gonz&#225;lez et al., who studied a large multiracial and multiethnic population.</p><p>We noted in the present study that the preeclamptic pregnant women had higher fasting blood glucose values compared to the controls (95.0 &#177; 35.6 mg/dl vs 81.8 &#177; 17.3 mg/dl, p = 0.006). The proportions of pregnant women with pathological fasting glycemia values (&gt;92 mg%) were however comparable in the two study groups (33.8% vs. 23.9%, p = 0.133).</p><p>Higher HbA1c values were observed in preeclamptic pregnant women compared to controls (5.7 &#177; 1.3% vs 4.8 &#177; 0.7%, p &lt; 0.001). These higher values of HbA1c in preeclamptic pregnant women were found both in the second trimester (5.7 &#177; 1.3% vs 4.7 &#177; 0.6%) and in the third trimester of pregnancy (6.6 &#177; 0.7% vs 4.8 &#177; 0.8%). The proportion of pregnant women with pathological HbA1c values (&gt;5.6%) was higher in the group of preeclamptic pregnant women compared to controls (46.5% vs 9.9%, p &lt; 0.001). In the multivariate analysis, an association was established between high HbA1c values and preeclampsia [(OR 6.48 (2.48 - 16.93) p &lt; 0.001].</p></sec><sec id="s5_3"><title>5.3. Glycated Hemoglobin and Preeclampsia</title><p>It appears in the results obtained from the HAPO study and those of other studies than during pregnancy, the risk of maternal and neonatal complications increases linearly with maternal glycemia [<xref ref-type="bibr" rid="scirp.99007-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref42">42</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref43">43</xref>]. Several studies have established an association between the states of maternal hyperglycemia and the occurrence of preeclampsia and its complications [<xref ref-type="bibr" rid="scirp.99007-ref59">59</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref60">60</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref61">61</xref>]. However, the mechanism underlying this association remains less well known. Barden et al. [<xref ref-type="bibr" rid="scirp.99007-ref62">62</xref>] note in their study that insulin resistance is the essential factor in this association. In a large study aimed at identifying the determinants of the association between diabetes mellitus and preeclampsia, Gutaj et al. [<xref ref-type="bibr" rid="scirp.99007-ref63">63</xref>] rather note a very significant positive association between high values of HbA1c in the three trimesters of pregnancy with preeclampsia and its complications. The association between HbA1c levels and adverse pregnancy outcomes remains a large area to explore. Most of the data reported comes from first trimester HbA1c measurements in women with preexisting diabetes [<xref ref-type="bibr" rid="scirp.99007-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref18">18</xref>]. It appears from the numerous studies carried out on pregnant diabetics that high HbA1c values are directly associated with unfavorable pregnancy outcomes and particularly with the occurrence of preeclampsia [<xref ref-type="bibr" rid="scirp.99007-ref64">64</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref65">65</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref66">66</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref67">67</xref>]. Nielsen et al. [<xref ref-type="bibr" rid="scirp.99007-ref65">65</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref66">66</xref>], Damm et al. [<xref ref-type="bibr" rid="scirp.99007-ref68">68</xref>], Tennant et al. [<xref ref-type="bibr" rid="scirp.99007-ref69">69</xref>] note in their studies high levels of HbA1c in pregnant diabetics with preeclampsia compared to non-preclamptics. In the HAPO study, the high levels of HbA1c measured in the second trimester of pregnancy in non-diabetic pregnant women were positively associated with a high prevalence of cesareans, preeclampsia and prematurity [<xref ref-type="bibr" rid="scirp.99007-ref70">70</xref>]. The results obtained from the study by Capula et al. [<xref ref-type="bibr" rid="scirp.99007-ref71">71</xref>] showed that, in pregnant women suffering from carbohydrate intolerance during the second trimester, even if the glycemic values are below the threshold of proven diabetes, the high rates of HbA1c remained strong predictors of adverse obstetric outcomes. In particular, an HbA1c value greater than 5.3% is associated with a 2 times higher risk of occurrence of preeclampsia and neonatal morbidity. In a recent study carried out in New Zealand on 16,122 healthy pregnant women, Hughes et al. [<xref ref-type="bibr" rid="scirp.99007-ref72">72</xref>] showed that an HbA1c level ≥ 5.9% at the start of pregnancy was a clinically relevant marker of the occurrence of preeclampsia, shoulder dystocia and perinatal death. Our results corroborate those of the HAPO study as well as those obtained by Capula et al., then recently by Hugues et al. who note an association between high levels of HbA1c and the occurrence of preeclampsia in pregnant women with unknown diabetes.</p><p>It appears from the results of Nielsen et al. [<xref ref-type="bibr" rid="scirp.99007-ref66">66</xref>], that in pregnant women, each increase in the value of HbA1c by 1% above the normal threshold increases the risk of poor perinatal results by 5.5%. This risk is 79% when the HbA1c level is greater than 10.3%. Man&#233; et al. [<xref ref-type="bibr" rid="scirp.99007-ref16">16</xref>] note in their study that in pregnant women without diabetes, an HbA1c level between 5.9% and 6.4% multiplies by 3 the risk of occurrence of preeclampsia and its complications. The results obtained from the study by Cavero-Redondo et al. [<xref ref-type="bibr" rid="scirp.99007-ref73">73</xref>] show that HbA1c is a very reliable indicator of the risk of cardiovascular mortality in diabetics and non-diabetics. In this regard, The National Institute for Health and Clinical Excellence (NICE) [<xref ref-type="bibr" rid="scirp.99007-ref74">74</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref75">75</xref>] recommended an HbA1c level &lt; 6.1% before considering conception in a known diabetic pregnant woman; and this rate must be even lower for an non-diabetic pregnant woman in order to avoid the occurrence of serious obstetric complications, particularly the occurrence of preeclampsia and its complications. Indeed, the oxidative stress generated at all stages of protein glycation and during the formation of HbA1c is favorable to the occurrence of preeclampsia and its complications, making this parameter a true marker of oxidative stress and therefore one of the parameters for assessing the severity and the maternal and fetal prognosis during preeclampsia [<xref ref-type="bibr" rid="scirp.99007-ref47">47</xref>] - [<xref ref-type="bibr" rid="scirp.99007-ref51">51</xref>]. Results obtained from certain studies have shown an association between high levels of HbA1c and anti-angiogenic factors, such as soluble endogline (Seng), implicated in the occurrence of preeclampsia and its complications [<xref ref-type="bibr" rid="scirp.99007-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref76">76</xref>]. In addition, high levels of HbA1c have been shown to favor aggregability and platelet activation, which leads to the release of Thromboxan A2, a potent vasoconstrictor implicated in the pathophysiology of preeclampsia [<xref ref-type="bibr" rid="scirp.99007-ref77">77</xref>]. More recently, studies have demonstrated the role played by HbA1c in the pathophysiology of preeclampsia through the end products of glycation (AGE Advanced glycation end-products). AGEs are a diverse group of reactive molecules that are formed endogenously from intermediate and irreversible glycation products of which HbA1c is a part. These molecules are associated with high concentrations of free oxygen radicals and are responsible for a strong inflammatory reaction, which is thought to be the basis of endothelial dysfunction [<xref ref-type="bibr" rid="scirp.99007-ref78">78</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref79">79</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref80">80</xref>].</p><p>The results of numerous studies [<xref ref-type="bibr" rid="scirp.99007-ref81">81</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref82">82</xref>] have shown very high concentrations of AGEs in preeclamptic pregnant women.</p></sec><sec id="s5_4"><title>5.4. Glycated Hemoglobin and Risk Factors of Preeclampsia in Non-Diabetic Women</title><p>We noted during this study that primigestity, primiparity and a history of preeclampsia were risk factors for the onset of the disease. Our results corroborate those published by other authors. Merviel et al. [<xref ref-type="bibr" rid="scirp.99007-ref83">83</xref>] note in their study that primigestity, primiparity, primipaternity as well as personal history of preeclampsia are risk factors for the occurrence of preeclampsia. Similar results are published by English et al. [<xref ref-type="bibr" rid="scirp.99007-ref84">84</xref>] as well as by Ciss&#233; et al. [<xref ref-type="bibr" rid="scirp.99007-ref85">85</xref>]. In the study by Gutaj et al. [<xref ref-type="bibr" rid="scirp.99007-ref63">63</xref>], it was noted that the history of nulliparity associated with the high level of HbA1c between 12 - 24 weeks of pregnancy constituted a major risk factor for the occurrence of preeclampsia.</p><p>The same is true for the history of primiparity or hypertension associated with high levels of HbA 1c in the three trimesters of pregnancy which constitutes a major risk factor for the occurrence of preeclampsia. It thus emerges from our study that primigestity, primiparity, history of preeclampsia or hypertension are risk factors for the occurrence of preeclampsia. This risk is increased and multiplied by 7 in the presence of high levels of HbA1C measured in the second and third trimester in an unknown diabetic pregnant. In the study by Mohamed et al. [<xref ref-type="bibr" rid="scirp.99007-ref86">86</xref>], it was noted that multigestity was one of the risk factors for the occurrence of preeclampsia. We noted in this study an association between high levels of HbA1c and preeclampsia (OR 6.48 (2.48 - 16.93) p &lt; 0.001), and multigestity (OR 2.94 (1.16 - 7.54) p = 0.007). Although multigestity was not found among the maternal risk factors for preeclampsia in the present study, its association with elevated rates of HbA1c makes this parameter another risk factor for the onset of the disease.</p><p>Probably the diabetogenic potential of recurring pregnancies would be the mechanism underlying the association between multigestity and high levels of HbA1c. Twin pregnancy is considered by many authors [<xref ref-type="bibr" rid="scirp.99007-ref87">87</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref88">88</xref>] as one of the risk factors for the occurrence of preeclampsia by more complex mechanisms. The importance of oxidative stress would probably be one of the fundamental mechanisms for the occurrence of preeclampsia in this condition. In this study, we noted a predominance of twin pregnancies among preeclamptic pregnant women. In univariate analysis, we established an association between twin pregnancy and the high values of HbA1c (OR 3.19 (2.83 - 8.22), p = 0.024) and between high values of HbA1c and preeclampsia (OR 7.94 (3.20 - 19.71) p &lt; 0.001). Simmons et al. [<xref ref-type="bibr" rid="scirp.99007-ref89">89</xref>], Dwyer et al. [<xref ref-type="bibr" rid="scirp.99007-ref90">90</xref>] noted in their studies the greater diabetogenic potential associated with twin pregnancy due to the abundant secretion of the somatotropic chorionic hormone, compared to single pregnancy. This makes twin pregnancy a risk factor for the development of gestational diabetes and preeclampsia.</p></sec><sec id="s5_5"><title>5.5. Glycated Hemoglobin and Preeclampsia Prognosis</title><p>We noted in this study that severe preeclampsia was the most common form, unlike moderate preeclampsia (62% vs 32%). Our observation is similar to that of Cisse C.T et al. [<xref ref-type="bibr" rid="scirp.99007-ref85">85</xref>] who find in developing countries the predominance of severe forms of preeclampsia whose frequency can reach up to 88.7% of cases, according to studies. The results of our study show that eclampsia, acute fetal distress and prematurity were the most common obstetric complications. They were found very significantly in preeclamptic pregnant women with pathological HbA1c values (&gt;5.6%). It appears from the results obtained from the study by Ekbom et al. [<xref ref-type="bibr" rid="scirp.99007-ref91">91</xref>] that the risk of preterm delivery significantly increases with the elevation of HbA1c levels, making this parameter a true predictor of prematurity. Several mechanisms can be evoked to explain the occurrence of these complications in these pregnant women with pathological values of HbA1c, among which the importance of the oxidative stress generated during the formation of HbA1c and its impact on endothelial functioning, influence of anti-angiogenic factors associated with high levels of HbA1c but also the importance of the inflammatory reaction associated with the glycation process.</p><p>We noted in this study that preeclamptic pregnancies were characterized by high levels of HbA1c as well as higher values of leukocytes compared to controls (p &lt; 0.001). Liu et al. [<xref ref-type="bibr" rid="scirp.99007-ref92">92</xref>], Wu et al. [<xref ref-type="bibr" rid="scirp.99007-ref93">93</xref>], and Sushma et al. [<xref ref-type="bibr" rid="scirp.99007-ref94">94</xref>] observed high concentrations of inflammation markers in subjects with elevated levels of HbA1c, making HbA1c a marker reliable inflammation [<xref ref-type="bibr" rid="scirp.99007-ref95">95</xref>]. Furthermore, the results of numerous studies show an association between inflammation and preeclampsia [<xref ref-type="bibr" rid="scirp.99007-ref96">96</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref97">97</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref98">98</xref>]. HELLP syndrome (Hemolysis, elevated liver enzymes and low platelet) is another severe complication found in severe forms of preeclampsia [<xref ref-type="bibr" rid="scirp.99007-ref99">99</xref>] [<xref ref-type="bibr" rid="scirp.99007-ref100">100</xref>].</p><p>It occurs as a result of endothelial damage associated with the obstruction of intrahepatic micro vessels by microthrombi [<xref ref-type="bibr" rid="scirp.99007-ref101">101</xref>]. It is characterized by hemolysis, elevated liver transaminases and thrombocytopenia. It was noted in the present study that compared to the controls, the preeclamptic pregnant women presented a moderate but very significant elevation of hepatic transaminase levels (GOT 48.3 &#177; 5.9 IU/L vs 24.3 &#177; 9.1 IU/L, p = 0.001; GPT 38.6 &#177; 4.7 IU/L vs 13.8 &#177; 6.9 IU/L, p = 0.000) as well as a low platelet count (167.8 &#177; 74.3. 103 elements vs 228.8 &#177; 56.4.103 vs elements, p &lt; 0.001). Although this study did not establish a relationship between pathological values of HbA1c and the occurrence of this complication, it can be understood that the endothelial dysfunction caused by high levels of HbA1c and by Advanced glycation end-products would be one of the pathophysiological mechanisms. In the study by Asadifar et al. [<xref ref-type="bibr" rid="scirp.99007-ref77">77</xref>], it was shown that high levels of HbA1c also favored aggregability and the platelet activation which would be responsible for the formation of microthrombi and multi visceral attack which can lead HELLP syndrome.</p><p>This study is the first to be carried out in Congolese pregnant women. Its weakness lies first, to the small sampling used and the failure to carry out the oral provoked hyperglycemia test in women with pathological values of HbA1c, which would contribute to determining the prevalence of diabetes mellitus, and secondly, the absence of data relating to neonatal parameters on which high levels of HbA1c could have an influence. This prompts us to recommend carrying out a study on a large sampling taking into account all these other aspects.</p><p>The strength of this study is to have established in non-diabetic pregnant women, a relationship between the high levels of HbA1c in the second and third trimester of pregnancy with the occurrence of preeclampsia and its complications, which allows to consider this parameter as a bio-marker of oxidative stress and of the appreciation for the maternal and fetal prognosis during preeclampsia. Our results corroborate those published by other authors, and underline the importance of glycemic control during the second and third trimester of pregnancy among the strategies for preventing preeclampsia and its complications.</p></sec></sec><sec id="s6"><title>6. Conclusion</title><p>We searched to determine the profile of glycated hemoglobin in non-diabetic preeclamptic pregnant women and know if elevated HbA1c levels were associated with maternal and fetal complications during this affection. It appears from the results obtained that 46.5% of those women have high levels of HbA1C. These high levels of HbA1c noted in the second and third trimester of pregnancy are very significantly associated with preeclampsia and are observed mainly in those with maternal or fetal complications. Thus, the integration of the HbA1c level of the second and third trimester among the other risk factors such as primiparity, primigestity, multigestity, and the history of hypertension could help to better assess the risk of preeclampsia and to assess the maternal and fetal prognosis during this condition. These results corroborate those published by other authors. They emphasize the importance of the systematic screening of hyperglycemic disorders during pregnancy. Some limitations of the study being noted, we recommend a study on a large sample in order to validate these results to make HbA1c a marker of risk of occurrence of preeclampsia and for appreciation of the maternal and fetal prognosis in our environment faced with the difficulties of assaying markers of oxidative stress.</p></sec><sec id="s7"><title>Acknowledgements</title><p>The authors are grateful to the staff of the University Clinic of Kinshasa and General hospital of Kinshasa, DR Congo for their logistic support and they also thank the participants. This study was not supported by any specific grant. It was part of the memory for specialization in Clinical Biology of Doctor Guelord MUKIAPINI LUZOLO, who gratefully acknowledges the financial support received from the ALUMNI of the Faculty of Medicine of the KU Leuven (Belgium) for the realization of this study.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.99007-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Pratap, K. and Navneet, M. (2012) Hormones in Pregnancy. Nigerian Medical Journal, 53, 179-183. https://doi.org/10.4103/0300-1652.107549</mixed-citation></ref><ref id="scirp.99007-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">O’Sullivan, J.B., Gellis, S.S., Dandrow, R.V. and Tenney, B.O. (2003) The Potential Diabetic and Her Treatment in Pregnancy. 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