<?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">OJEMD</journal-id><journal-title-group><journal-title>Open Journal of Endocrine and Metabolic Diseases</journal-title></journal-title-group><issn pub-type="epub">2165-7424</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojemd.2024.142004</article-id><article-id pub-id-type="publisher-id">OJEMD-131084</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>
 
 
  Frequency and Risk Factors of Neonatal Macrosomia at Labe Regional Hospital in Guinea
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mamadou</surname><given-names>Dian Mamoudou Diallo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mamadou</surname><given-names>Mansour Diallo</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>Mamadou</surname><given-names>Chérif Diallo</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>Alpha</surname><given-names>Mamadou Diallo</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>Kadija</surname><given-names>Dieng</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>Mody</surname><given-names>Abdoulaye Barry</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>Mamadou</surname><given-names>Alpha Diallo</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>Kadidiatou</surname><given-names>Bah</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>Abdou</surname><given-names>Mazid Diallo</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>El’hadj</surname><given-names>Zainoul Bah</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>Mamadou</surname><given-names>Malal Bori Diallo</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>Mamadou</surname><given-names>Sanou Sylla</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>Amadou</surname><given-names>Kaké</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Faculty of Health Sciences and Technology, University of Conakry, Conakry, Guinea</addr-line></aff><aff id="aff4"><addr-line>Neonatology Unit, Labe Regional Hospital, Labe, Guinea</addr-line></aff><aff id="aff3"><addr-line>Department of Diabetes and Endocrinology, Donka Hospital and University Center, Conakry, Guinea</addr-line></aff><aff id="aff1"><addr-line>Diabetes Unit, Labe Regional Hospital, Labe, Guinea</addr-line></aff><pub-date pub-type="epub"><day>30</day><month>01</month><year>2024</year></pub-date><volume>14</volume><issue>02</issue><fpage>26</fpage><lpage>32</lpage><history><date date-type="received"><day>13,</day>	<month>December</month>	<year>2023</year></date><date date-type="rev-recd"><day>4,</day>	<month>February</month>	<year>2024</year>	</date><date date-type="accepted"><day>7,</day>	<month>February</month>	<year>2024</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>
 
 
  Macrosomia is defined as a term birth weight greater than or equal to 4000 grams, or greater than the 90 percentile of intrauterine growth curves. Excessive weight has harmful consequences for the newborn and is a major health concern. 
  <b>Objectives:</b> To determine the frequency of neonatal macrosomia, describe risk factors and neonatal and maternal complications. 
  <b>Materials and methods:</b> This was a cross-sectional study carried out between January and December 2022, involving newborns whose birth weight was greater than or equal to 4000 grams admitted to the neonatology unit of the Labe regional hospital. 
  <b>Results:</b> 591 deliveries were recorded, 15 of which were macrosomic, representing a frequency of 2.54%. The average age of the women was 30.26 years. History of fetal macrosomia and diabetes was 93.33 and 71.43% respectively. The mean gestational age was 38.71
   
  &#177; 0.75 SA, the mean antenatal consultation was 3 &#177; 0.8 and the mode of delivery was caesarean section (66.67%). Third-trimester ultrasound was performed in 53.33% of cases. Macrosomic newborns were male in 80% of cases. Neonatal complications were asphyxia (60%), hypoglycemia (20%) and hypocalcemia (13.33%). Factors associated with neonatal macrosomia were diabetes (P &lt; 0.001), history of macrosomia (P &lt; 0.001) and maternal obesity (P &lt; 0.001). <b>Conclusion:</b> this study shows that the frequency of neonatal macrosomia is 2.54% with high neonatal morbidity among newborns hospitalized in the neonatology unit of the Lab&#233; regional hospital. Screening for macrosomia risk factors during pregnancy is essential to prevent perinatal complications.
 
</p></abstract><kwd-group><kwd>Frequency</kwd><kwd> Macrosomia</kwd><kwd> Labe</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Birth weight is an indicator of normal newborn development. Low birthweight and macrosomia are important determinants of infant survival at birth [<xref ref-type="bibr" rid="scirp.131084-ref1">1</xref>] .</p><p>Macrosomia is defined as a birth weight at term greater than or equal to 4000 grams, or greater than the 90 percentile of intrauterine growth curves [<xref ref-type="bibr" rid="scirp.131084-ref2">2</xref>] . Excessive weight has harmful consequences for the newborn and is a major health concern [<xref ref-type="bibr" rid="scirp.131084-ref1">1</xref>] .</p><p>The prevalence of macrosomia varies from region to region [<xref ref-type="bibr" rid="scirp.131084-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.131084-ref4">4</xref>] due to differences in contributing risk factors [<xref ref-type="bibr" rid="scirp.131084-ref5">5</xref>] . The rising prevalence of diabetes and obesity among women of childbearing age may be associated with an increase in the birth of macrosomic children [<xref ref-type="bibr" rid="scirp.131084-ref1">1</xref>] .</p><p>In developed countries, macrosomia accounts for between 5% and 20% of all births [<xref ref-type="bibr" rid="scirp.131084-ref6">6</xref>] . Macrosomic newborns are at risk of obstetric trauma [<xref ref-type="bibr" rid="scirp.131084-ref7">7</xref>] , as well as neonatal hypoglycemia and hypocalcemia [<xref ref-type="bibr" rid="scirp.131084-ref8">8</xref>] . Mothers are at risk of caesarean delivery [<xref ref-type="bibr" rid="scirp.131084-ref9">9</xref>] and anal sphincter damage [<xref ref-type="bibr" rid="scirp.131084-ref10">10</xref>] . Management of obesity and hyperglycemia during pregnancy is essential to prevent neonatal macrosomia [<xref ref-type="bibr" rid="scirp.131084-ref11">11</xref>] .</p><p>In developing countries, research on macrosomia shows variable prevalences ranging from 5% to 16% [<xref ref-type="bibr" rid="scirp.131084-ref12">12</xref>] .</p><p>The risk of maternal and fetal complications is high due to the lack of basic health care in these regions [<xref ref-type="bibr" rid="scirp.131084-ref7">7</xref>] .</p><p>We therefore carried out a descriptive cross-sectional study to determine the frequency of neonatal macrosomia and to describe the risk factors and neonatal and maternal complications in the neonatology unit of the Labe regional hospital in Guinea.</p></sec><sec id="s2"><title>2. Methodology</title><p>This was a descriptive cross-sectional study carried out at the Neonatology Unit of the Lab&#233; Regional Hospital between January 01 and December 31, 2022. We collected data on newborns with a birth weight ≥ 4000 grams admitted to hospital for respiratory distress or hypotonia. This was an exhaustive sample meeting the inclusion criteria.</p><p>Data collection was based on medical records and the hospitalization register. Epidemiological characteristics of mothers and newborns were collected: mothers’ age, place of residence, occupation, personal history of macrosomia, diabetes, hypertension, obesity and gestational age, pregnancy follow-up, number of prenatal consultations, number of obstetric ultrasounds and sex of newborns.</p><p>Clinical characteristics included mode of delivery, birth weight, height, neonatal and maternal complications and capillary blood glucose. Biological tests performed on admission included blood ionogram and complete blood count. Therapeutic management and maternal-fetal prognosis were also collected. Data entry and statistical analysis were performed using Epi-Info version 7.2.2.6. The Chi-2 test was used to study associated risk factors, and the significance level was set at 5%.</p></sec><sec id="s3"><title>3. Results</title>Epidemiological Characteristics of Mothers<p>During the study period, 591 deliveries were recorded, 15 of which were macrosomic, i.e. a frequency of 2.54%. The average age of the women was 30.26 &#177; 4.69 years. Housewives accounted for 66.66% and lived in rural areas in 60% of cases. Fetal macrosomia and diabetes were predominant in 93.33% and 71.43% of cases respectively. These data are collated in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>Clinical characteristics</p><p>The mean gestational age in our series was 38.71 &#177; 0.75; the mean antenatal visit was 3 &#177; 0.81; the mode of delivery was caesarean section in 66.67% of cases. 53.33% of parturients had undergone ultrasound in the 3rd trimester.</p><p>Males predominated in our series, in 80% of cases. Macrosomic newborns had a birth weight of between 4000 and 4300 g in 93.33%, and in 6.67% the birth weight was between 4301 and 4500 grams.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Epidemiological characteristics of mothers</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Workforce</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Mean age</td><td align="center" valign="middle" >30.26 &#177; 4.69 [19 - 36]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Place of residence</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Urban</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >40.00</td></tr><tr><td align="center" valign="middle" >Rural</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >60.00</td></tr><tr><td align="center" valign="middle" >Profession</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >6.67</td></tr><tr><td align="center" valign="middle" >Housewife</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >66.66</td></tr><tr><td align="center" valign="middle" >Accountant</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >6.67</td></tr><tr><td align="center" valign="middle" >Merchant</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >20.00</td></tr><tr><td align="center" valign="middle" >Past history</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >71.43</td></tr><tr><td align="center" valign="middle" >Macrosomia</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >93.33</td></tr><tr><td align="center" valign="middle" >HTA</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >20.00</td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >20.00</td></tr><tr><td align="center" valign="middle" >Average parity</td><td align="center" valign="middle" >4.400 &#177; 1.59</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Average Gestite</td><td align="center" valign="middle" >4.400 &#177; 1.59</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Neonatal complications were asphyxia (60%), hypoglycemia (20%) and hypocalcemia in 13.33% of cases. These data are presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p><p>Factors associated with neonatal macrosomia were diabetes (P &lt; 0.001), history of macrosomia (P &lt; 0.001) and maternal obesity (P &lt; 0.001). These data are presented in <xref ref-type="table" rid="table2">Table 2</xref>.</p></sec><sec id="s4"><title>4. Discussion</title><p>We conducted a study of macrosomic newborns admitted to the neonatology unit of the Lab&#233; regional hospital in Guinea.</p><p>Of a total of 591 newborns admitted during the study period, 15 were macrosomic, representing a frequency of 2.54%. The frequency of macrosomia found in our work was close to that reported in certain African studies, varying between 1.57% and 3.85% [<xref ref-type="bibr" rid="scirp.131084-ref12">12</xref>] . In developed countries, the frequency of neonatal macrosomia varied between 5% and 20%, with an increase of 15% - 25% noted over the last three decades [<xref ref-type="bibr" rid="scirp.131084-ref13">13</xref>] . The average weight of macrosomic newborns was 4100 g &#177; 219.6816. Data in the literature support the view that maternal and neonatal morbidity increases with birth weight, especially in newborns weighing over 4500 g [<xref ref-type="bibr" rid="scirp.131084-ref14">14</xref>] . The average age of the women in our series was 30 &#177; 4.7 years. Indeed, advanced maternal age has been described as a risk factor for neonatal macrosomia [<xref ref-type="bibr" rid="scirp.131084-ref15">15</xref>] . Male sex was predominant in 80% of cases. The predominance of males is indisputable, and several studies report rates in excess of 60% of cases [<xref ref-type="bibr" rid="scirp.131084-ref16">16</xref>] . All authors agree that male newborns generally weigh more than female newborns at all gestational ages [<xref ref-type="bibr" rid="scirp.131084-ref17">17</xref>] .</p><p>The factors associated with neonatal macrosomia in our study were diabetes (P &lt; 0.001), history of macrosomia (P &lt; 0.001) and maternal obesity (P &lt; 0.001),</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of parturients according to factors associated with neonatalmacrosomia</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Associated factors</th><th align="center" valign="middle" >Workforce</th><th align="center" valign="middle" >%</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >Maternal history</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" >-Diabetes</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >71.43</td><td align="center" valign="middle" >P &lt; 0.001</td></tr><tr><td align="center" valign="middle" >-Macrosomia</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >93.33</td><td align="center" valign="middle" >P &lt; 0.001</td></tr><tr><td align="center" valign="middle" >-Obesity</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >20.00</td><td align="center" valign="middle" >P &lt; 0.001</td></tr></tbody></table></table-wrap><p>with statistically significant differences. The results found in our series concur with those reported by Prosper Kakudji Luhete et al. [<xref ref-type="bibr" rid="scirp.131084-ref18">18</xref>] . Diabetes and obesity, identified as risk factors associated with macrosomia in our study, were found by several authors [<xref ref-type="bibr" rid="scirp.131084-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.131084-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.131084-ref20">20</xref>] . This could be explained by the interdependent mechanism of carbohydrate and lipid metabolism, which would be responsible for fetal hyperinsulinism in response to maternal hyperglycemia [<xref ref-type="bibr" rid="scirp.131084-ref18">18</xref>] . Insulin, an anabolic hormone, draws carbohydrates into cells, accumulates fatty acids in adipose tissue and proteins in muscle, leading to fetal macrosomia [<xref ref-type="bibr" rid="scirp.131084-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.131084-ref21">21</xref>] . A history of macrosomia was also found in some studies [<xref ref-type="bibr" rid="scirp.131084-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.131084-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.131084-ref22">22</xref>] . Hyperglycemic states are literally associated with increased newborn weight [<xref ref-type="bibr" rid="scirp.131084-ref23">23</xref>] .</p><p>Neonatal complications were dominated by neonatal asphyxia (60%), hypoglycemia (20%) and hypocalcemia (13%).</p><p>The results of our study concur with those found by AichaSalim Said and Karim PremjiManji [<xref ref-type="bibr" rid="scirp.131084-ref24">24</xref>] , who reported 22.7% of cases of hypoglycemia, 14.4% of cases of asphyxia and 1% of cases of hypocalcemia. The delivery of a macrosomic baby is associated with well-known maternal and neonatal complications: shoulder dystocia with, in rare cases, brachial plexus elongation, asphyxia during expulsion, fractures (clavicle and humerus) during maneuvers, and neonatal hypoglycemia and hypocalcemia [<xref ref-type="bibr" rid="scirp.131084-ref17">17</xref>] . No maternal complications were identified in our series. The limitation of our study was related to the insufficiency of maternal data and the duration of the study.</p></sec><sec id="s5"><title>5. Conclusion</title><p>This study shows that the frequency of neonatal macrosomia is 2.54% with high neonatal morbidity among newborns hospitalized in the neonatology unit of the Lab&#233; regional hospital. Screening for macrosomia risk factors during pregnancy is essential to prevent perinatal complications.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Diallo, M.D.M., Diallo, M.M., Diallo, M.C., Diallo, A.M., Dieng, K., Barry, M.A., Diallo, M.A., Bah, K., Diallo, A.M., Bah, E.Z., Diallo, M.M.B., Sylla, M.S. and Kak&#233;, A. (2024) Frequency and Risk Factors of Neonatal Macrosomia at Labe Regional Hospital in Guinea. Open Journal of Endocrine and Metabolic Diseases, 14, 26-32. https://doi.org/10.4236/ojemd.2024.142004</p></sec></body><back><ref-list><title>References</title><ref id="scirp.131084-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Agbozo, F., Abubakari, A., Der, J. and Jahn, A. 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