<?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.2018.86068</article-id><article-id pub-id-type="publisher-id">OJOG-85492</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>
 
 
  Serum Fructosamine and Glycosylated Hemoglobin in Monitoring the Glycemic Control in Gestational Diabetes Mellitus
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohamed</surname><given-names>M. Farghali</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>Ali</surname><given-names>M. Mahmoud</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>Ghassan</surname><given-names>Baidas</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>Mohamed</surname><given-names>M. Khalafalla</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>Ibrahim</surname><given-names>A. Abdelazim</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shikanova</surname><given-names>Svetlana</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib></contrib-group><aff id="aff5"><addr-line>Department of Obstetrics and Gynecology, Ahmadi Hospital, KOC, Ahmadi, Kuwait</addr-line></aff><aff id="aff3"><addr-line>Department of Internal Medicine, Al-Sabah Maternity Hospital, Sabah Area, Kuwait</addr-line></aff><aff id="aff2"><addr-line>Department of Internal Medicine, Al-Azahar University, Cairo, Egypt</addr-line></aff><aff id="aff4"><addr-line>Department of Obstetrics and Gynecology, Menofia University, Menofia, Egypt</addr-line></aff><aff id="aff1"><addr-line>Department of Obstetrics and Gynecology, Ain Shams University, Cairo, Egypt</addr-line></aff><aff id="aff6"><addr-line>Department of Obstetrics and Gynecology, Marat Ospanov, West Kazakhstan State Medical University (WKSMU), Aktobe, Kazakhstan</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>dr.ibrahimanwar@gmail.com(IAA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>01</day><month>06</month><year>2018</year></pub-date><volume>08</volume><issue>06</issue><fpage>630</fpage><lpage>645</lpage><history><date date-type="received"><day>29,</day>	<month>May</month>	<year>2018</year></date><date date-type="rev-recd"><day>22,</day>	<month>June</month>	<year>2018</year>	</date><date date-type="accepted"><day>25,</day>	<month>June</month>	<year>2018</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:
   Diabetes mellitus complicates 1%
  -
  2% of all pregnancies, and associate
  s
   with high perinatal morbidity. Gestational diabetes mellitus (GDM) is treatable condition, and women who have adequate glycemic control during pregnancy can effectively decrease the adverse outcomes of GDM. <b>Objectives:</b> This study was designed to compare the serum fructosamine, and the glycosylated hemoglobin (HbA1c), in monitoring the glycemic control in GDM. <b>Patients and Methods:</b> 1516 women with GDM included, and were advised for dietary modification to achieve proper glycemic control. If the target glucose levels were not reached by the diet regimen or by the dietary modification, insulin was prescribed for the studied women. The average values of the pre-
   
  and post-prandial glucose levels were calculated, and the insulin doses were adjusted to achieve the target glucose values during the antenatal visits. HbA1c, and fructosamine were measured to assess the glycemic control for the studied women. <b>Results:</b> The fructosamine, and the HbA1c were significantly high in the uncontrolled GDM compared to controlled group, and there was positive significant correlation between fractuosamine, and HbA1c in monitoring the glycemic control in GDM (r = 0.93, and P = 0.001). The Odds ratio (OR), and relative risk (RR) analysis for the current pregnancy outcome showed that
   
  the polyhydramnios (OR 3.8; RR 3.7), the cesarean delivery (OR 1.7; RR 1.4), the fetal macrosomia (OR 6.4; RR 6.3), the fetal anomalies (OR 6.5; RR 6.4), and the (IUFD) intrauterine fetal death (OR 8.7; RR 8.6) were significantly high in uncontrolled GDM group. In addition
  ,
   the (NND) neonatal death (OR 11.6; RR 11.4), the neonatal intensive care unit (NICU) admission (OR 3.1; RR 2.9), the neonatal hyperbilirubinemia (OR 3.7; RR 3.6), the transient tachypnea of the newborn (OR 3.1; RR 2.9), and the neonatal hypoglycemia (OR 3.5; RR 3.4) were significantly high in uncontrolled GDM group. <b>Conclusion:</b> Fructosamine assay is simple, reliable, useful indicator for the glycemic control in GDM over the last 2
   
  -
   
  3 weeks, and poor glycemic control in GDM increases the risk of adverse maternal and neonatal outcomes.
 
</p></abstract><kwd-group><kwd>Serum Fructosamine</kwd><kwd> HbA1c</kwd><kwd> GDM</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Diabetes mellitus (DM) complicates 1% - 2% of pregnancies, and associates with high perinatal morbidity [<xref ref-type="bibr" rid="scirp.85492-ref1">1</xref>] . Gestational diabetes mellitus (GDM) defined as a glucose intolerance of any degree discovered for the first time during pregnancy [<xref ref-type="bibr" rid="scirp.85492-ref2">2</xref>] .</p><p>Infants of diabetic mothers exposed to adverse outcomes including: metabolic, respiratory, cardiac disorders, perinatal asphyxia, and birth traumas [<xref ref-type="bibr" rid="scirp.85492-ref3">3</xref>] .</p><p>Macrosomia is the most constant consequence of diabetes, and its severity is influenced by the maternal blood glucose levels.</p><p>Pedersen-Freinkel’s, suggested that the fetal macrosomia in DM is due to the trans-placental transfer of maternal glucose, which stimulates the release of insulin by fetal pancreatic beta cells [<xref ref-type="bibr" rid="scirp.85492-ref4">4</xref>] . Insulin increases the insulin-like growth factors, with subsequent fetal macrosomia.</p><p>Ostlund et al., and Ong et al., demonstrated definite link between maternal glycemia, and neonatal macrosomia, and/or fetal fat mass [<xref ref-type="bibr" rid="scirp.85492-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.85492-ref6">6</xref>] .</p><p>A recent analysis of data from WHO’s Global Survey on maternal, and perinatal outcomes in 23 developing countries described the prevalence of macrosomia, as one of the main complications of maternal diabetes [<xref ref-type="bibr" rid="scirp.85492-ref7">7</xref>] .</p><p>The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study showed positive association between maternal glycemia, fetal hyperinsulinism, and fetal body weight [<xref ref-type="bibr" rid="scirp.85492-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.85492-ref9">9</xref>] .</p><p>The infant of diabetic mother is at risk of transient hyperinsulinism, with subsequent neonatal hypoglycemia [<xref ref-type="bibr" rid="scirp.85492-ref10">10</xref>] . Crowther et al., and Landon et al., reported that the rate of intravenously treated hypoglycemia babies of diabetic mothers was between 5% - 7% [<xref ref-type="bibr" rid="scirp.85492-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.85492-ref12">12</xref>] .</p><p>GDM associated with risk of neonatal persistent pulmonary hypertension [<xref ref-type="bibr" rid="scirp.85492-ref13">13</xref>] and myocardial hypertrophy has been reported in both pre-gestational diabetes and GDM with a wide range of frequencies (between 25% - 75%) [<xref ref-type="bibr" rid="scirp.85492-ref14">14</xref>] .</p><p>The most common cardiac malformations reported in infants of diabetic mothers are transposition of the great arteries, hypoplastic left heart syndrome, and ventricular septal defects [<xref ref-type="bibr" rid="scirp.85492-ref15">15</xref>] .</p><p>The risk of perinatal asphyxia in GDM (5-min Apgar score &lt; 7) was 1% - 2% in a study including more than thousand neonates of GDM mothers [<xref ref-type="bibr" rid="scirp.85492-ref11">11</xref>] . In another study, the reported umbilical arterial pH &lt; 7.2 in GDM group was 15%, compared to non-diabetic controls [<xref ref-type="bibr" rid="scirp.85492-ref16">16</xref>] .</p><p>Poor maternal glycemic control increases the risk of adverse neonatal outcomes, and perinatal morbidity [<xref ref-type="bibr" rid="scirp.85492-ref3">3</xref>] . GDM is treatable condition, and women who have adequate glycemic control during pregnancy, can effectively decrease the adverse outcomes of GDM [<xref ref-type="bibr" rid="scirp.85492-ref17">17</xref>] .</p><p>Fructosamine is a marker of glucose control reflecting the average glycemic level over the preceding 2 - 3 weeks [<xref ref-type="bibr" rid="scirp.85492-ref18">18</xref>] . Consequently, fructosamine may be more appropriate marker for monitoring early response to treatment [<xref ref-type="bibr" rid="scirp.85492-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.85492-ref20">20</xref>] . Fructosamine has been proposed to monitor the glycemic control for diabetes during pregnancy [<xref ref-type="bibr" rid="scirp.85492-ref21">21</xref>] , in low-resource countries [<xref ref-type="bibr" rid="scirp.85492-ref22">22</xref>] , and countries with high prevalence of sickle cell diseases, and sickle cell traits [<xref ref-type="bibr" rid="scirp.85492-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.85492-ref24">24</xref>] . So, this prospective study was designed to compare the serum fructosamine, and the glycosylated hemoglobin (HbA1c), in monitoring the glycemic control in GDM, and to evaluate the perinatal morbidity associated with GDM.</p></sec><sec id="s2"><title>2. Patients and Methods</title><p>This prospective comparative study was conducted in the Obstetrics department of Al-Sabah Maternity Hospital, Kuwait over 3 years (January 2014 to January 2017), after approval of the study by the institute ethical committee.</p><p>Women between 20 - 35 years, and 24 - 36 gestational weeks, singleton pregnancy, diagnosed with GDM according to the International Association of Diabetes, and Pregnancy Study Groups (IADPSG) criteria (fasting blood sugar (FBS) ≥ 5.6 mmol/dl (126 mg/dl; random blood sugar (RBS) ≥ 11.1 mmol/dl (200 mg/dl), and HbA1C ≥ 6.5%) included in this study after informed written consent.</p><p>Pregnant women with hypertensive, cardiac or thyroid disorders or refused to participate were excluded from this study. Pregnant women with established DM type 1 or 2 or renal disorders that can affect serum protein levels (nephrotic syndrome, liver cirrhosis) were also excluded from the study.</p><p>The studied women subject to thorough history including; the age, parity, and gestational age at the diagnosis of GDM, family history of DM, previous history of intrauterine fetal death (IUFD), macrocosmic babies, neonatal death (NND), and/or recurrent miscarriages (RMs). The calculation of the body mass index (BMI) for the studied women was followed by baseline investigations according to the hospital protocol (complete blood picture (CBC), liver, and kidney function tests).</p><p>Studied women were advised for dietary modifications, and nutritional instructions of three meals, and three snacks daily with pre-designed diets according to their body weight. Total calories/day were calculated according to 30 - 35 cal/kg of the body weight, and diet charts were given to the studied women. If the target blood glucose levels for glycemic control (FBS ≤ 100 mg/dl (5.5 mmol/l), and postprandial blood glucose (1.5 hours after meals) of ≤126 mg/dl (7 mmol/l)) were not reached by the diet regimens. Insulin was prescribed for the studied women to achieve the desired glycemic controls (combination of short, and intermediate acting human insulin) twice daily (before breakfast, and before dinner) or as multiple injections (short acting insulin before meals, and intermediate acting at bed-time). The insulin doses were calculated according to the body weight, and the gestational age; (0.6 IU/kg in 1<sup>st</sup> trimester, 0.7 IU/kg in 2<sup>nd</sup> trimester, 0.8 IU/kg from 28 - 32 weeks, 0.9 IU/kg from 32 - 36 weeks, and 1 unit/kg from 36 weeks onwards).</p><p>Studied women were given supplement of iron, calcium, vitamin B<sub>12</sub> and folic acid, with follow-up in the ante-natal clinics every 2 weeks according to the hospital protocol, and fetal well-being assessment using trans-abdominal ultrasound scan monthly after 28 weeks. The time and mode of deliveries were decided for the studied women according to the hospital protocol. Studied women were advised to follow the self-blood glucose monitoring (SBGM), and to maintain a written and/or electronic record of their blood glucose levels. Women who could not monitor, and record their blood glucose levels were admitted in the day-care unit for blood glucose monitoring, and the blood sugar series (BSS) were done 6 times/day (fasting, 2 hours post-breakfast, pre-lunch, 2 hours post-lunch, pre-dinner, 2 hours post-dinner). At each ante-natal visit the average values of the pre-and post-prandial blood glucose were calculated for the studied woman, and the insulin doses were adjusted to achieve pre-prandial target glucose values of 9 - 130 mg/dl (5 - 7.2 mmol/l), and post-prandial target glucose values of 9 - 180 mg/dl (5 - 10.0 mmol/l). The frequencies of hypoglycemia were assessed by reviewing the patients’ records (hypoglycemia defined as documented blood glucose level &lt; 70 mg/dl (3.9 mmol/l) &#177; symptoms). HbA1c was measured for the studied women monthly by radioimmunoassay to assess the glycemic control (normal HbA1c &lt; 7%, while, HbA1c &gt; 9% equals poor control). Fructosamine was measured every 2 weeks bichromatically as an end-point reaction based on the ability of glycated proteins to reduce nitro blue tetrazolium method (NBT) in an alkaline solution [<xref ref-type="bibr" rid="scirp.85492-ref17">17</xref>] .</p><p>One thousand-five hundred and sixty five (1565) women with GDM recruited at the beginning of this study, and the study was completed with final analysis of the data for 1516 women (49 women were not included in the final analysis of the study because of preterm labor, incomplete records, delivery outside the hospital, and travelling) <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p><p>The studied women classified into; controlled GDM (1123 women), and uncontrolled GDM (393 women) to compare the serum fructosamine, and the glycosylated hemoglobin (HbA1c), in monitoring the glycemic control in GDM,</p><p>and to evaluate the perinatal morbidity associated with GDM.</p><p>Sample size: The required sample size was calculated using G Power software version 3.17 for sample size calculation (Heinrich Heine Universit&#228;t; D&#252;sseldorf; Germany), setting α -error probability at 0.05, power (1-β error probability) at 0.95%, and effective sample size (w) at 0.3. The effective sample includes &gt; 220 women in two groups (110 in the study group, and 110 controls) needed to produce a statistically acceptable figure.</p><p>Statistical analysis: Collected data statistically analyzed using Statistical Package for Social Sciences (SPSS); computer software version 20 (Chicago, IL, USA). Numerical variables were presented as mean, and standard deviation (&#177;SD), while categorical variables were presented as number (n) and percentage (%). Chi-square test (x<sup>2</sup>) was used for comparison between groups as regard qualitative variables, and student (t) test was used for comparison between groups as regard numerical variables. The Odds ratio (OR), and the relative risk (RR) analysis was used to detect the relation between the glycemic control in GDM, and adverse outcomes. Multivariate regression analysis was used to detect the relation between fructosamine, and HbA1c in monitoring the glycemic control in GDM. P-value &lt; 0.05 considered statistically significant.</p></sec><sec id="s3"><title>3. Results</title><p>One thousand-five hundred and sixty five (1565) women with GDM recruited at the beginning of this study, and the study was completed with final analysis of the data for 1516 women (1123 controlled GDM, and 393 uncontrolled GDM). There was no significant difference between the two studied groups regarding the maternal age, and the gestational age (31.5 &#177; 4.8 years, and 28.4 &#177; 2.5 weeks; respectively for the controlled GDM group versus 29.3 &#177; 5.6 years, and 29.3 &#177; 2.9 weeks; respectively for the uncontrolled group).</p><p>While, the mean BMI was significantly high in the uncontrolled GDM group compared to the controlled group (30.1 &#177; 5.5 versus 28.2 &#177; 6.1 Kg/m<sup>2</sup>; respectively, P = 0.007). The previous history of intra-uterine fetal death (IUFD), and fetal macrosomia was significantly high in the uncontrolled GDM group (15 (3.8%) and 12 (3.1%); respectively) compared to controlled group (11 (0.98%) and 7 (0.62%); respectively), (P = 0.0002 and 0.0002; respectively). The previous history of neonatal death (NND), and recurrent miscarriages (RMs) was significantly high in the uncontrolled GDM group (9 (2.3%) and 17 (4.3%); respectively) compared to controlled group (3 (0.27%) and 13 (1.15%); respectively), (P = 0.0001 and 0.0001; respectively) <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>The Odds ratio (OR), and relative risk (RR) analysis for the previous pregnancies outcome showed that; the IUFD (OR 4.0 (95%CI; 1 - 0.8), P = 0.0005; RR 3.8 (95%CI; 1 - 0.4), P = 0.0005), and the fetal macrosomia (OR 5.0 (95%CI; 1.9 - 12.8), P = 0.0008; RR 4.8 (95%CI; 1.9 - 12.4), P = 0.0008) were significantly high in the uncontrolled GDM group. In addition; the NND (OR 8.7 (95%CI; 2.4 - 32.5), P = 0.001; RR 8.5 (95%CI; 2.3 - 31.5), P = 0.001), and RMs (OR 3.8 (95%CI; 1.8 - 8.0), P = 0.0003; RR 3.7 (95%CI; 1.8 - 7.6), P = 0.0003) were significantly high in the uncontrolled GDM group <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>The fasting blood glucose (7.6 &#177; 6.1 mmol/l versus 5.8 &#177; 6.8; respectively, P = 0.005), the pre-prandial glucose (8.3 &#177; 2.2 mmol/l versus 6.2 &#177; 2.9; respectively, P = 0.04), and the post-prandial glucose (10.5 &#177; 3.1 mmol/l versus 9.2 &#177; 3.6; respectively, P = 0.002) were significantly high in the uncontrolled GDM group</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The demographic data of the two studied group, and the outcome of the previous pregnancies</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Controlled GDM (1123 women)</th><th align="center" valign="middle" >Uncontrolled GDM (393 women)</th><th align="center" valign="middle" >P value (95% Confidence Interval)</th></tr></thead><tr><td align="center" valign="middle" >Maternal age (Years) Mean &#177; SD</td><td align="center" valign="middle" >31.5 &#177; 4.8</td><td align="center" valign="middle" >29.3 &#177; 5.6</td><td align="center" valign="middle" >0.9 (1.5, 2.2, 2.8)</td></tr><tr><td align="center" valign="middle" >BMI (Kg/m<sup>2</sup>) Mean &#177; SD</td><td align="center" valign="middle" >28.2 &#177; 6.1</td><td align="center" valign="middle" >30.1 &#177; 5.5</td><td align="center" valign="middle" >0.007* (−2.6, −1.9, −1.2)</td></tr><tr><td align="center" valign="middle" >Gestational age (Weeks) Mean &#177; SD</td><td align="center" valign="middle" >28.4 &#177; 2.5</td><td align="center" valign="middle" >29.3 &#177; 2.9</td><td align="center" valign="middle" >0.9 (−1.2, 0.9, −0.6)</td></tr><tr><td align="center" valign="middle" >Previous history of IUFD Number (%)</td><td align="center" valign="middle" >11 (0.98%)</td><td align="center" valign="middle" >15 (3.8%)</td><td align="center" valign="middle" >0.0002*</td></tr><tr><td align="center" valign="middle" >Previous history of fetal macrosomia Number (%)</td><td align="center" valign="middle" >7 (0.62%)</td><td align="center" valign="middle" >12 (3.1%)</td><td align="center" valign="middle" >0.0002*</td></tr><tr><td align="center" valign="middle" >Previous history of NND Number (%)</td><td align="center" valign="middle" >3 (0.27%)</td><td align="center" valign="middle" >9 (2.3%)</td><td align="center" valign="middle" >0.0001*</td></tr><tr><td align="center" valign="middle" >Previous history of RMs Number (%)</td><td align="center" valign="middle" >13 (1.15%)</td><td align="center" valign="middle" >17 (4.3%)</td><td align="center" valign="middle" >0.0001*</td></tr></tbody></table></table-wrap><p>*Significant difference. BMI: Body mass index. Chi-square test (X<sup>2</sup>) used for statistical analysis, when data presented as number and %. Data presented as mean &#177; SD (standard deviation), and number and percentage (%). GDM: gestational diabetes mellitus. IUFD: Intrauterine fetal death. NND: Neonatal deaths. RMS: Recurrent miscarriages. Student t test used for statistical analysis, when data presented as mean &#177; SD.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> The odds ratio, and the relative risk analysis for the previous pregnancies outcome</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Positive outcome</th><th align="center" valign="middle" >Negative outcome</th><th align="center" valign="middle" >Odds ratio (95%CI) P value Relative Risk (95%CI) P value</th></tr></thead><tr><td align="center" valign="middle" >Previous history of IUFD Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >11 15</td><td align="center" valign="middle" >1112 378</td><td align="center" valign="middle" >4.0 (1.8 - 8.8) 0.0005* 3.8 (1.8 - 8.4) 0.0005*</td></tr><tr><td align="center" valign="middle" >Previous history of fetal macrosomia Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >7 12</td><td align="center" valign="middle" >1116 381</td><td align="center" valign="middle" >5.0 (1.9 - 12.8) 0.0008* 4.8 (1.9 - 12.4) 0.0008*</td></tr><tr><td align="center" valign="middle" >Previous history of neonatal death Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >3 9</td><td align="center" valign="middle" >1120 384</td><td align="center" valign="middle" >8.7 (2.4 - 32.5) 0.001* 8.5 (2.3 - 31.5) 0.001*</td></tr><tr><td align="center" valign="middle" >Previous history of RMs Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >13 17</td><td align="center" valign="middle" >1110 376</td><td align="center" valign="middle" >3.8 (1.8 - 8.0) 0.0003* 3.7 (1.8 - 7.6) 0.0003*</td></tr></tbody></table></table-wrap><p>*Significant difference. CI = Confidence interval. GDM: gestational diabetes mellitus. IUFD: Intrauterine fetal death. RMS: Recurrent miscarriages.</p><p>compared to controlled group. The serum fructosamine (462.5 &#177; 119 &#181;mol/l versus 337.4 &#177; 132; respectively, P = 0.007), and the HbA1c (8.4 &#177; 5.8 versus 7.2 &#177; 6.6; respectively, P = 0.001) were significantly high in the uncontrolled GDM group compared to controlled group <xref ref-type="table" rid="table3">Table 3</xref>.</p><p>The polyhydramnios rate (17 (4.3%) versus 13 (1.16%); respectively, P = 0.0001), and the cesarean delivery rate (124 (31.6%) versus 238 (21.2%); respectively, P = 0.001), were significantly high in the uncontrolled GDM group compared to the controlled group. The fetal macrosomia (11 (2.8%) versus 5 (0.45%); respectively, P = 0.0001), the fetal anomalies (9 (2.29%) versus 4 (0.36%); respectively, P = 0.0004), the IUFD (9 (2.29%) versus 3 (0.27%); respectively, P = 0.0001), and the NND (8 (2.04%) versus 2 (0.18%); respectively, P = 0.001) were significantly high in the uncontrolled GDM group compared to the controlled group.</p><p>In addition; the neonatal intensive care unit (NICU) admission (25 (6.36%) versus 24 (2.14%); respectively, P = 0.0001), the neonatal hyperbilirubinemia (15 (3.05%) versus 12 (1.07%); respectively, P = 0.0005), the transient tachypnea of the newborn (24 (6.1%) versus 23 (2.05%); respectively, P = 0.0001), and the neonatal hypoglycemia (18 (4.58%) versus 15 (1.34%); respectively, P = 0.0002) were significantly high in the uncontrolled GDM group compared to controlled group <xref ref-type="table" rid="table3">Table 3</xref>.</p><p>The Odds ratio (OR), and relative risk (RR) analysis for the current pregnancy outcome showed that; the polyhydramnios (OR 3.8 (95%CI; 1.9 - 8.0), P = 0.0003; RR 3.7 (95% CI; 1.8 - 7.6), P = 0.0003), the cesarean delivery (OR 1.7 (95%CI; 1.3 - 2.2), P = 0.0001; RR 1.4 (95%CI; 1.2 - 1.8), P = 0.0001), and the</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> The blood glucose, fructosamine, HbA1c, and the outcome of the current pregnancy</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Controlled GDM (1123 women)</th><th align="center" valign="middle" >Uncontrolled GDM (393 women)</th><th align="center" valign="middle" >P value (95% Confidence Interval)</th></tr></thead><tr><td align="center" valign="middle" >Fasting blood glucose (mmol/l) Mean &#177; SD</td><td align="center" valign="middle" >5.8 &#177; 6.8</td><td align="center" valign="middle" >7.6 &#177; 6.1</td><td align="center" valign="middle" >0.005* (−2.5, −1.8, −1.1)</td></tr><tr><td align="center" valign="middle" >Pre-prandial glucose (mmol/l) Mean &#177; SD</td><td align="center" valign="middle" >6.2 &#177; 2.9</td><td align="center" valign="middle" >8.3 &#177; 2.2</td><td align="center" valign="middle" >0.04* (−2.4, −2.1, −1.8)</td></tr><tr><td align="center" valign="middle" >Postprandial glucose (mmol/l) Mean &#177; SD</td><td align="center" valign="middle" >9.2 &#177; 3.6</td><td align="center" valign="middle" >10.5 &#177; 3.1</td><td align="center" valign="middle" >0.0002* (−1.7, −1.3, −0.9)</td></tr><tr><td align="center" valign="middle" >Fructosamine (&#181;mol/l) Mean &#177; SD</td><td align="center" valign="middle" >337.4 &#177; 132</td><td align="center" valign="middle" >462.5 &#177; 119</td><td align="center" valign="middle" >0.007* (−139.2, −125.1, −111)</td></tr><tr><td align="center" valign="middle" >HbA1c (%) Mean &#177; SD</td><td align="center" valign="middle" >7.2 &#177; 6.6</td><td align="center" valign="middle" >8.4 &#177; 5.8</td><td align="center" valign="middle" >0.001* (−1.9, −1.2, −0.5)</td></tr><tr><td align="center" valign="middle" >Polyhydramnios Number (%)</td><td align="center" valign="middle" >13 (1.16%)</td><td align="center" valign="middle" >17 (4.3%)</td><td align="center" valign="middle" >0.0001*</td></tr><tr><td align="center" valign="middle" >Vaginal deliveries Number (%)</td><td align="center" valign="middle" >885 (78.8%)</td><td align="center" valign="middle" >269 (68.4%)</td><td align="center" valign="middle" >0.1</td></tr><tr><td align="center" valign="middle" >Cesarean deliveries Number (%)</td><td align="center" valign="middle" >238 (21.2%)</td><td align="center" valign="middle" >124 (31.6%)</td><td align="center" valign="middle" >0.001*</td></tr><tr><td align="center" valign="middle" >Fetal macrosomia Number (%)</td><td align="center" valign="middle" >5 (0.45%)</td><td align="center" valign="middle" >11 (2.8%)</td><td align="center" valign="middle" >0.0001*</td></tr><tr><td align="center" valign="middle" >Fetal anomalies Number (%)</td><td align="center" valign="middle" >4 (0.36%)</td><td align="center" valign="middle" >9 (2.29%)</td><td align="center" valign="middle" >0.0004*</td></tr><tr><td align="center" valign="middle" >Intrauterine fetal death Number (%)</td><td align="center" valign="middle" >3 (0.27%)</td><td align="center" valign="middle" >9 (2.29%)</td><td align="center" valign="middle" >0.0001*</td></tr><tr><td align="center" valign="middle" >Neonatal death Number (%)</td><td align="center" valign="middle" >2 (0.18%)</td><td align="center" valign="middle" >8 (2.04%)</td><td align="center" valign="middle" >0.001*</td></tr><tr><td align="center" valign="middle" >NICU admission Number (%)</td><td align="center" valign="middle" >24 (2.14%)</td><td align="center" valign="middle" >25 (6.36%)</td><td align="center" valign="middle" >0.0001*</td></tr><tr><td align="center" valign="middle" >Neonatal hyperbilirubinemia Number (%)</td><td align="center" valign="middle" >12 (1.07%)</td><td align="center" valign="middle" >15 (3.05%)</td><td align="center" valign="middle" >0.0005*</td></tr><tr><td align="center" valign="middle" >Transient tachypnea of the newborn Number (%)</td><td align="center" valign="middle" >23 (2.05%)</td><td align="center" valign="middle" >24 (6.1%)</td><td align="center" valign="middle" >0.0001*</td></tr><tr><td align="center" valign="middle" >Neonatal hypoglycemia Number (%)</td><td align="center" valign="middle" >15 (1.34%)</td><td align="center" valign="middle" >18 (4.58%)</td><td align="center" valign="middle" >0.0002*</td></tr></tbody></table></table-wrap><p>*Significant difference. Chi-square test (X<sup>2</sup>) used for statistical analysis, when data presented as number and %. Data presented as mean &#177; SD (standard deviation), and number and percentage (%). GDM: gestational diabetes mellitus. HbA1c: Glycosylated hemoglobin. NICU: Neonatal intensive care unit. Postprandial glucose = 1.5 hours after meals. Pre-prandial glucose = prelaunch, and predinner. Student t test used for statistical analysis, when data presented as mean &#177; SD.</p><p>fetal macrosomia (OR 6.4 (95%CI; 2.2 - 18.6), P = 0.0006; RR 6.3 (95%CI; 2.2 - 17.9), P = 0.0006) were significantly high in uncontrolled GDM group.</p><p>Also; the fetal anomalies (OR 6.5 (95%CI; 2.0 - 21.4), P = 0.001; RR 6.4 (95%CI; 1.9 - 20.7), P = 0.001), and IUFD (OR 8.7 (95%CI; 2.3 - 32.5), P = 0.001; RR 8.6 (95%CI; 2.3 - 31.5), P = 0.001), NND (OR 11.6 (95%CI; 2.4 - 55.0), P = 0.002; RR 11.4 (95%CI; 2.4 - 53.5), P = 0.002), and NICU (OR 3.1 (95%CI; 1.7 - 5.5), P = 0.0001; RR 2.9 (95%CI; 1.7 - 5.1), P = 0.0001), were significantly high in uncontrolled GDM group.</p><p>In addition; the neonatal hyperbilirubinemia (OR 3.7 (95% CI; 1.7 - 7.9), P = 0.0009; RR 3.6 (95%CI; 1.7 - 7.5), P = 0.0009), the transient tachypnea of the newborn (OR 3.1 (95%CI; 1. - .5), P = 0.0001; RR 2.9 (95%CI; 1. - .5), P = 0.0001), and the neonatal hypoglycemia (OR 3.5 (95%CI; 1. - .1), P = 0.0004; RR 3.4 (95%CI; 1.7 - 6.7), P = 0.0003) were significantly high in uncontrolled GDM group <xref ref-type="table" rid="table4">Table 4</xref>.</p><p>Multivariate regression analysis showed positive significant correlation between serum fructosamine, and HbA1c in monitoring the glycemic control in GDM (correlation factor r = 0.93, and P = 0.001) <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p></sec><sec id="s4"><title>4. Discussion</title><p>Poor maternal glycemic control increases the risk of adverse neonatal outcomes, and perinatal morbidity [<xref ref-type="bibr" rid="scirp.85492-ref3">3</xref>] . GDM is treatable condition, and women who have adequate glycemic control during pregnancy, can effectively decrease the adverse outcomes of GDM [<xref ref-type="bibr" rid="scirp.85492-ref17">17</xref>] .</p><p>Serum fructosamine has been proposed to monitor the glycemic control for diabetes during pregnancy [<xref ref-type="bibr" rid="scirp.85492-ref21">21</xref>] , in low-resource countries [<xref ref-type="bibr" rid="scirp.85492-ref22">22</xref>] , and countries with high prevalence of sickle cell disease, and sickle cell traits [<xref ref-type="bibr" rid="scirp.85492-ref23">23</xref>] . However, serum fructosamine is not commonly used to monitor the glycemic control in diabetes as HbA1c [<xref ref-type="bibr" rid="scirp.85492-ref24">24</xref>] . So, this prospective study was designed to compare the serum fructosamine, and the HbA1c, in monitoring the glycemic control in GDM, and to evaluate the perinatal morbidity associated with GDM.</p><p>One thousand-five hundred and sixty five (1565) women with GDM recruited at the beginning of this study, and the study completed with final analysis of the data for 1516 women (1123 controlled GDM, and 393 uncontrolled GDM). There was no significant difference between the two studied groups regarding the maternal age, and the gestational age, while, the mean BMI was significantly high in the uncontrolled GDM group compared to the controlled group (P = 0.007).</p><p>Hillier et al., conducted their study to estimate the relation between the maternal weight gain, maternal glucose, and the fetal macrosomia among GDM population, and they concluded that women with abnormal levels of glucose tolerance had greater risk of adverse outcome with weight gain [<xref ref-type="bibr" rid="scirp.85492-ref25">25</xref>] . Hillier et al., in another study concluded that the excessive maternal weight gain is a risk factor for all ranges of glucose intolerance [<xref ref-type="bibr" rid="scirp.85492-ref26">26</xref>] .</p><p>In this study; the Odds ratio, and relative risk analysis for the previous pregnancies outcome showed that; the IUFD (OR 4.0; RR 3.8), the fetal macrosomia (OR 5.0; RR 4.8), the NND (OR 8.7; RR 8.5), and the RMs (OR 3.8; RR 3.7) were significantly high in the uncontrolled GDM group. The Odds ratio, and relative</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> The odds ratio, and the relative risk analysis for the current pregnancy outcome</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Positive outcome</th><th align="center" valign="middle" >Negative outcome</th><th align="center" valign="middle" >Odds ratio (95%CI) P value Relative Risk (95%CI) P value</th></tr></thead><tr><td align="center" valign="middle" >Polyhydramnios Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >13 17</td><td align="center" valign="middle" >1110 376</td><td align="center" valign="middle" >3.8 (1.9 - 8.0) 0.0003* 3.7 (1.8 - 7.6) 0.0003*</td></tr><tr><td align="center" valign="middle" >Cesarean delivery Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >238 124</td><td align="center" valign="middle" >885 269</td><td align="center" valign="middle" >1.7 (1.3 - 2.2) 0.0001* 1.4 (1.2 - 1.8) 0.0001*</td></tr><tr><td align="center" valign="middle" >Fetal macrosomia Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >5 11</td><td align="center" valign="middle" >1118 382</td><td align="center" valign="middle" >6.4 (2.2 - 18.6) 0.0006* 6.3 (2.2 - 17.9) 0.0006*</td></tr><tr><td align="center" valign="middle" >Fetal anomalies Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >4 9</td><td align="center" valign="middle" >1119 384</td><td align="center" valign="middle" >6.5 (2.0 - 21.4) 0.001* 6.4 (1.9 - 20.7) 0.001*</td></tr><tr><td align="center" valign="middle" >Intrauterine fetal death Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >3 9</td><td align="center" valign="middle" >1120 384</td><td align="center" valign="middle" >8.7 (2.3 - 32.5) 0.001* 8.6 (2.3 - 31.5) 0.001*</td></tr><tr><td align="center" valign="middle" >Neonatal death Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >2 8</td><td align="center" valign="middle" >1121 385</td><td align="center" valign="middle" >11.6 (2.4 - 55.0) 0.002* 11.4 (2.4 - 53.5) 0.002*</td></tr><tr><td align="center" valign="middle" >NICU admission Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >24 25</td><td align="center" valign="middle" >1099 368</td><td align="center" valign="middle" >3.1 (1.75 - 5.5) 0.0001* 2.9 (1.7 - 5.1) 0.0001*</td></tr><tr><td align="center" valign="middle" >Neonatal hyperbilirubinemia Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >12 15</td><td align="center" valign="middle" >1111 378</td><td align="center" valign="middle" >3.7 (1.7 - 7.9) 0.0009* 3.6 (1.7 - 7.5) 0.0009*</td></tr><tr><td align="center" valign="middle" >Transient tachypnea of the newborn Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >23 24</td><td align="center" valign="middle" >1100 369</td><td align="center" valign="middle" >3.1 (1.7 - 5.5) 0.0001* 2.9 (1.7 - 5.2) 0.0001*</td></tr><tr><td align="center" valign="middle" >Neonatal hypoglycemia Controlled GDM Uncontrolled GDM</td><td align="center" valign="middle" >15 18</td><td align="center" valign="middle" >1108 375</td><td align="center" valign="middle" >3.5 (1.7 - 7.1) 0.0004* 3.4 (1.7 - 6.7) 0.0003*</td></tr></tbody></table></table-wrap><p>*Significant difference. CI = Confidence interval. GDM: gestational diabetes mellitus. NICU: Neonatal intensive care unit.</p><p>risk analysis for the current pregnancy outcome showed that; the polyhydramnios (OR 3.8; RR 3.7), the cesarean delivery (OR 1.7; RR 1.4), the fetal macrosomia (OR 6.4; RR 6.3), the fetal anomalies (OR 6.5; RR 6.4), and the IUFD (OR 8.7; RR 8.6) were significantly high in uncontrolled GDM group. In addition; the NND (OR 11.6; RR 11.4), the NICU (OR 3.1; RR 2.9), the neonatal hyperbilirubinemia</p><p>(OR 3.7; RR 3.6), the transient tachypnea of the newborn (OR 3.1; RR 2.9), and the neonatal hypoglycemia (OR 3.5; RR 3.4) were significantly high in uncontrolled GDM group.</p><p>The HAPO study reported correlations between fasting, 1-h, and 2-h glucose levels, and adverse outcomes, including increased birth weight, cesarean section, and neonatal hypoglycemia [<xref ref-type="bibr" rid="scirp.85492-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.85492-ref9">9</xref>] .</p><p>Ostlund et al., and Ong et al., demonstrated definite link between maternal glycemia, and neonatal macrosomia, and/or fetal fat mass [<xref ref-type="bibr" rid="scirp.85492-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.85492-ref6">6</xref>] .</p><p>A WHO’s Global Survey in 23 developing countries described the prevalence of macrosomia, as one of the main complications of maternal diabetes [<xref ref-type="bibr" rid="scirp.85492-ref7">7</xref>] .</p><p>Matthew et al., concluded that the treatment of GDM substantially reduced macrosomia at birth [<xref ref-type="bibr" rid="scirp.85492-ref27">27</xref>] . Singla et al., concluded that GDM should be treated aggressively, and women with GDM are at increased risk for adverse perinatal outcomes [<xref ref-type="bibr" rid="scirp.85492-ref28">28</xref>] .</p><p>In addition; Kc et al., reported that the fetal macrosomia is a common adverse outcome of GDM if unrecognized and untreated properly [<xref ref-type="bibr" rid="scirp.85492-ref29">29</xref>] . Kc et al., concluded that the fetal macrosomia increases the risk of shoulder dystocia, clavicle fractures, brachial plexus injury, NICU admissions, cesarean delivery, postpartum hemorrhage, and vaginal lacerations [<xref ref-type="bibr" rid="scirp.85492-ref29">29</xref>] .</p><p>Ker&#233;nyi et al., found strong association between large for gestational age (LGA), and maternal fasting glucose, compared to weak association between LGA, and 2-h post-prandial glucose in a population-based screening program of GDM [<xref ref-type="bibr" rid="scirp.85492-ref30">30</xref>] .</p><p>Kitzmiller et al., reported 7.6% respiratory distress syndrome (RDS), 9% major congenital anomalies, 7% transient tachypnea of the newborn, 22% hypokalemia, 19% hyperbilirubinemia, and 47% hypoglycemia as perinatal morbidity in diabetic pregnant women [<xref ref-type="bibr" rid="scirp.85492-ref31">31</xref>] .</p><p>Crowther et al., and Landon et al., reported that the rate of intravenously treated hypoglycemia babies of diabetic mothers was between 5% - 7% [<xref ref-type="bibr" rid="scirp.85492-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.85492-ref12">12</xref>] .</p><p>Mannan et al., studied 100 cases of DM during pregnancy (76% GDM), and reported; 2% spontaneous miscarriage, 2% IUFD, 58% cesarean section (CS) rate, 4% NND [<xref ref-type="bibr" rid="scirp.85492-ref32">32</xref>] . Mannan et al., concluded that early detection, strict glycemic control, delivery with intensive intrapartum monitoring, and excellent neonatal facilities can result in good maternal and fetal outcome [<xref ref-type="bibr" rid="scirp.85492-ref32">32</xref>] .</p><p>Crowther et al., reported 1% - 2% risk of perinatal asphyxia (5-min Apgar score &lt; 7) in GDM [<xref ref-type="bibr" rid="scirp.85492-ref11">11</xref>] , and Langer et al., reported an umbilical arterial pH &lt; 7.2 in 15% of GDM group, compared to non-diabetic controls [<xref ref-type="bibr" rid="scirp.85492-ref16">16</xref>] .</p><p>In this study; the multivariate regression analysis showed positive significant correlation between serum fructosamine, and HbA1c in monitoring the glycemic control in GDM (r = 0.93; P = 0.001).</p><p>Since, the hemoglobin life span is closer to 6 - 8 weeks, and the HbA1c reflects the average glucose concentration over the last 6 - 8 weeks [<xref ref-type="bibr" rid="scirp.85492-ref33">33</xref>] . HbA1c assay is not suitable to assess the glycemic control in diabetic pregnant women, with short red blood cells (RBCs) lifespan [<xref ref-type="bibr" rid="scirp.85492-ref34">34</xref>] . Vitamins C and E have been reported to lower HbA1c measurements, possibly by inhibiting glycation. Concomitant use of drugs to treat patients with malignancies, human immunodeficiency virus or hepatitis C virus infection, may have a glycated hemoglobin lowering effect, with false negative result in the glycemic control.</p><p>In addition; alcoholism, lipidemia, and chronic ingestion of salicylates may also reduce the level of HbA1c [<xref ref-type="bibr" rid="scirp.85492-ref35">35</xref>] . HbA1c higher levels can be seen in people with a longer RBCs life span, and people with vitamin B<sub>12</sub> or folate deficiency.</p><p>Kilpatrick et al., showed evidence of wide fluctuations in HbA1c between individuals that are unrelated to glycemic status, suggesting that there are “low glycators” and “high glycators” [<xref ref-type="bibr" rid="scirp.85492-ref36">36</xref>] .</p><p>Fructosamine reflects the short-term diabetic control, and its assay requires small sample volume, and the results are resistant to storage, and heat [<xref ref-type="bibr" rid="scirp.85492-ref17">17</xref>] .</p><p>Fructosamine reflects the short-term diabetic control, and combination of fructosamine to HbA1c gives a dynamic advantage of increasing the glycemic control in GDM.</p><p>In addition; Macdonald et al., suggested that the fructosamine levels are useful if routinely used to monitor the glycemic control in diabetic practice [<xref ref-type="bibr" rid="scirp.85492-ref37">37</xref>] .</p><p>This study concluded that the fructosamine assay was simple, reliable, useful indicator for glycemic control over the last 2 - 3 weeks in GDM, and there was positive correlation between fructosamine, and HbA1c in monitoring the glycemic control in GDM. In addition; this study concluded that poor glycemic control in women with GDM increases the risk of adverse maternal (polyhydramnios, and cesarean delivery rates), and neonatal outcomes (fetal macrosomia, fetal anomalies, IUFD, NND, and NICU admissions).</p><p>The strength of this study is coming from the prospective comparative nature of the study, and inclusion of large number of women with GDM (1516) over the period of 3 years (2014 to 2017).</p><p>Women refused to participate, incomplete records were the limitations faced during conduction of this study. Further studies needed to confirm the value of fructosamine in monitoring the glycemic control for diabetes during pregnancy, especially in low-resource countries, and countries with high prevalence of sickle cell diseases, and sickle cell traits. In addition; national, and international programs needed to increase the awareness of diabetic women that strict glycemic control, and delivery in tertiary centers with proper neonatal facilities can reduce the adverse fetal, and maternal outcomes.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Fructosamine assay is simple, reliable, useful indicator for glycemic control over the last 2 - 3 weeks, and there is positive correlation between fructosamine, and HbA1c in monitoring the glycemic control in GDM. Poor glycemic control in women with GDM increases the risk of adverse maternal and neonatal outcomes.</p></sec><sec id="s6"><title>Acknowledgements</title><p>Authors are grateful to women agreed to participate in this study.</p></sec><sec id="s7"><title>Conflict of Interest</title><p>Authors declared no conflict of interest related to this study.</p></sec><sec id="s8"><title>Disclosure</title><p>The study funded by the authors themselves.</p></sec><sec id="s9"><title>Cite this paper</title><p>Farghali, M.M., Mahmoud, A.M., Baidas, G., Khalafalla, M.M., Abdelazim, I.A. and Svetlana, S. (2018) Serum Fructosamine and Glycosylated Hemoglobin in Monitoring the Glycemic Control in Gestational Diabetes Mellitus. 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