<?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">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1103433</article-id><article-id pub-id-type="publisher-id">OALibJ-74949</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Frequency and Early Neonatal Mortality Related to Anomalies of Birth Weight and Gestational Age in Rural Areas: A Case of the General Reference Hospital of Lubao (Lomami Province, Democratic Republic of Congo)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bukasa</surname><given-names>H&amp;eacute;man Kabemba</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>Ebondo</surname><given-names>Patrick Kasendue</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>Muteba</surname><given-names>André Shiku</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>Nsomue</surname><given-names>Gentil Kabingie</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>Mposhi</surname><given-names>Djolin Ngiele</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>Tshite</surname><given-names>John Kitengie</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>Mulaba</surname><given-names>Gustave Ilunga</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>Kabiswe</surname><given-names>Joelle Pungue</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>Ebondo</surname><given-names>David Kalonda</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>Kabemba</surname><given-names>Pavlov Lukamba</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib></contrib-group><aff id="aff5"><addr-line>Department of Public Health, Faculty of Medicine, University of Kalemie, Kalemie, Democratic Republic of Congo</addr-line></aff><aff id="aff1"><addr-line>Department of Nursing Sciences, Higher Institute of Medical Techniques of Kalemie, Kalemie, Democratic Republic of Congo</addr-line></aff><aff id="aff3"><addr-line>Department of Nursing Sciences, Higher Institute of Medical Techniques of Kamana, Kamana, Democratic Republic of Congo</addr-line></aff><aff id="aff6"><addr-line>Department of Nursing Education and Administration, Higher Institute of Medical Techniques of Lubao, Lubao,Democratic Republic of Congo</addr-line></aff><aff id="aff7"><addr-line>Department of Nursing Sciences, Higher Institute of Medical Techniques of Tshofa, Tshofa, Democratic Republic of Congo</addr-line></aff><aff id="aff4"><addr-line>Department of Internal Medicine, Faculty of Medicine, University of Kabinda, Kabinda, Democratic Republic of Congo</addr-line></aff><aff id="aff2"><addr-line>Department of Nursing Sciences, Higher Institute of Medical Techniques of Lubao, Lubao, Democratic Republic of Congo</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>03</month><year>2017</year></pub-date><volume>04</volume><issue>03</issue><fpage>1</fpage><lpage>12</lpage><history><date date-type="received"><day>February</day>	<month>6,</month>	<year>2017</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>March</month>	<year>25,</year>	</date><date date-type="accepted"><day>March</day>	<month>28,</month>	<year>2017</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>
 
 
   
   Birth weight anomalies (Macrosomy and Dysmaturity) and gestational age (pre-mature and post-term) are a real public health problem, especially in resource-constrained countries. The newborn is exposed to great morbidity and mortality. This study aims to determine the frequency and early neonatal mortality related to anomalies in birth weight and gestational age in our environment. This is a retrospective and descriptive three-year study (2011-2013) at the Maternity services of the General Reference Hospital of Lubao (Lomami Province, Democratic Republic of Congo). Out of a total of 1158 live babies retained for this study, 378 cases (32.6%) of birth weight and gestational age abnormalities were noted: 12.7% of birth and 19.9% for gestational age anomalies. Premature was much observed (n = 165 or 1
   4.2%) followed by dysmature (n = 99 or 8.6%), post-term (n = 66 or 5.7%), and macrosomes (n = 48 or 4.1%). These anomalies had resulted in 122 cases (10.5%) of early neonatal deaths. Premature and post-mature were significantly more at risk of mortality than dysmature and macrosomes (p &lt; 0.05). These high rates of birth weight and gestational age anomalies and their associated mortalities attest to the need for rapid and concerted control actions. Birth weight and gestational age abnormalities arise as serious health problems to which appropriate responses are required. It would require good follow-up and care for pregnancy and newborn. 
  
 
</p></abstract><kwd-group><kwd>Dysmature</kwd><kwd> Lubao</kwd><kwd> Macrosoma</kwd><kwd> Premature</kwd><kwd> Post-Term</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The World Health Organization (WHO) sets out the groups of neonatal pathologies including neonatal infections, perinatal asphyxia, congenital malformations and birth weight anomalies (Dysmaturity, Macrosomia) and gestational age (Prematurity, Post-maturity) [<xref ref-type="bibr" rid="scirp.74949-ref1">1</xref>] . Anomalies in birth weight and gestational age (AB- WGA) are a real public health problem, especially in developing countries where the mortality that accompanies them is high [<xref ref-type="bibr" rid="scirp.74949-ref2">2</xref>] - [<xref ref-type="bibr" rid="scirp.74949-ref9">9</xref>] . In the developing countries, the management of pregnant women and newborns poses even more problems [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref10">10</xref>] given the limited means and the often inadequate organization of the qualities of care, especially in rural areas [<xref ref-type="bibr" rid="scirp.74949-ref11">11</xref>] . This situation exposes millions of newborns in the world to high morbidity and mortality [<xref ref-type="bibr" rid="scirp.74949-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref11">11</xref>] . South-East Asia and sub-Saharan Africa cumulate neonatal mortality by nearly 60% of infant mortality and nearly 40% of infant and child mortality [<xref ref-type="bibr" rid="scirp.74949-ref12">12</xref>] . Anomalies in birth weight and gestational age, with prematurity in the first rank, are recognized as one of the leading causes of newborn deaths in Africa [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref11">11</xref>] . In Africa, the majority of the population is rural and often less served by health services [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref12">12</xref>] .</p><p>In the Democratic Republic of Congo (DRC), there are provinces where there are no gynecologists, obstetricians and pediatricians. These specialists are important elements in the care of pregnant women and children. This is the case of the province of Lomami and the territory of Lubao in particular. This situation exposes certain newborns (NB) whose clinical condition requires the expertise of the specialist (Obstetrician or pediatrician).</p><p>In the medical literature, birth weight and gestational age abnormalities are approached in isolation, so the overall weight of these pathologies seems to be ignored in neonatal medicine. This is where we come up with the idea of approaching this study. The objective of this work is to determine the overall frequency and early neonatal mortality of birth and gestational age anomalies in our environment. It will help health decision makers to get an idea about neonatal health in the territory of Lubao (DR. Congo).</p></sec><sec id="s2"><title>2. Patients, Materials and Methods</title><sec id="s2_1"><title>2.1. Site of the Study</title><p>This study was carried out at Lubao Generals Reference Hospital (GRH). The Lubao GRH is located in the Lubao City and Territory, Lomami Province, Democra- tic Republic of Congo (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>The territory of Lubao (area 22,480 Km<sup>2</sup> and population estimated at 1,580,069 inhabitants) is a deconcentrated administrative entity whose capital, located 200 km from Kabinda bears the same name. It is subdivided into four administrative areas and three health zones: Bekalebwe (Kamana Health Zone), Tshofa (Tshofa Health Zone), Lubao and Kisengwa (Lubao Health Zone). The population is predominantly of the Songe (or Ba Songye) ethnic group.</p><p>The General Reference Hospital of Lubao (GRH) is the only hospital of the Lubao Health Zone which receives all the patients of the sectors of Lubao and Kisengwa. There are three general practitioners physicians and nurses of all levels (A1, A2 and A3). The health center furthest from its areas action is one 178 kilometers (=Kafumbe health center). The maternity ward has a capacity of 20 beds and is a neonatology unit. There are no incubators or temperature incubators for newborns (NB). There are even times when some essential medicines are lacking</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Map of Lubao territory, Lomami Province, DRC. Source: CAID: www.caid.cd</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/74949x2.png"/></fig><p>and private pharmacies are needed (See www.caid.cd.index.php/data-by-province-administrative/province-of-lo).</p></sec><sec id="s2_2"><title>2.2. Design of the Study</title><p>This was a retrospective and descriptive study carried out from January 2011 to December 2013, there three years. Included in this study was any newborn born from a monofetal pregnancy and whose birth weight anomalies (Macrosomia and Dysmaturity) and gestational age (prematurity and post-maturity) had been met the study parameters. The parameters studied included:</p><p>・ For the mother: the date of the last menstrual period, the number of prenatal consultations (ANC), parity and age.</p><p>・ For the newborn: sex, gestational age, birth weight and prognosis in the early neonatal period.</p><p>We did not widen the parameters (delivery pathways, delivery patterns, newborn size, maternal history, etc.) to look for under our objective.</p><p>To determine gestational age (GA), we referred to the date of the last menstrual period (following the near absence of ultrasound before the twelfth week of amenorrhea and during pregnancy) and the neurological and morphological maturity criteria of the newborn.</p><p>To avoid confusion that may arise in particular regarding premature infants (true, macrosomes and hypotrophic), the definitions of ABWGA in this study include:</p><p>・ Macrosome [<xref ref-type="bibr" rid="scirp.74949-ref13">13</xref>] (fetal macrosomia): NB of birth weight ≥ 4000 g and GA ≥ 37 amenorrhea weeks.</p><p>・ Premature [<xref ref-type="bibr" rid="scirp.74949-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref10">10</xref>] : NB of which GA ≤ 36 amenorrhea weeks. In this study, regardless of birth weight, premature new born was included and considered premature.</p><p>・ Dysmature [<xref ref-type="bibr" rid="scirp.74949-ref11">11</xref>] : NB of birth weight &lt; 2500 g and GA ≥ 37 amenorrhea weeks.</p><p>・ Post-term [<xref ref-type="bibr" rid="scirp.74949-ref11">11</xref>] : NB whose GA ≥ 42 amenorrhea weeks.</p><p>Out of 1324 births registered in delivery registries and partogrammes at maternity service of the GRH of Lubao, 1158 NB (87.5%) were selected according to the inclusion criteria. To process the data from this study, the usual calculations including Frequency, Binomial repartition, Means and Chi-squared at significant threshold p ≤ 0.05 were used.</p></sec></sec><sec id="s3"><title>3. Results</title><p>Out of a total of 1158 newborns retained for this study, 378 cases of birth weight (BW) anomalies and gestational age were recorded or 32.6%. Among the ABWG- As, gestational age abnormalities (GAA) were the most common (n = 231, 19.9%) followed by birth weight anomalies (BWA) (n = 147, 12.7%) (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>The characteristics of the mothers of children with ABWGA revealed that most women were aged 14 to 25 years (n = 197, 52.1%), primiparous (n = 147, 38.9%) and who did not correctly follow prenatal consultations (<xref ref-type="table" rid="table1">Table 1</xref>). The mean age</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Types of anomalies in birth weight and gestational age among live births (n = 1158)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/74949x3.png"/></fig><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Characteristics of newborns mothers with anomalies in birth weight and gestational age (Age, Parity and follow-up prenatal consultations)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[14 - 26[</td><td align="center" valign="middle" >197</td><td align="center" valign="middle" >52,1</td></tr><tr><td align="center" valign="middle" >[26 - 38[</td><td align="center" valign="middle" >147</td><td align="center" valign="middle" >38,8</td></tr><tr><td align="center" valign="middle" >[38 - 50[</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >9,0</td></tr><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Primiparous</td><td align="center" valign="middle" >147</td><td align="center" valign="middle" >38,9</td></tr><tr><td align="center" valign="middle" >Pauciparous</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >19,3</td></tr><tr><td align="center" valign="middle" >Multiparous</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >20,1</td></tr><tr><td align="center" valign="middle" >Grand multiparous</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >21,7</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Prenatal consultations or visits</td></tr><tr><td align="center" valign="middle" >No one</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >23,5</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >17,7</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >23,5</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >29,1</td></tr><tr><td align="center" valign="middle" >≥4</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >6,1</td></tr></tbody></table></table-wrap><p>Means age: 27.9 &#177; 1.5 ans (Sd); Extremes: 14 - 48 ans.</p><p>was 27.9 &#177; 1.5 years with the extremes of 14 to 48 years. No prenatal visits were followed by 89 women (23.5%). Only 110 women who had given birth followed three prenatal consultations (29.1%). Among the abnormalities of birth weight and gestational age, prematurity (n = 165 or 14.2%) was the most encountered followed by dysmaturity (n = 99 or 8.6%), post-maturity (n = 66 or 5.7%) and Macrosomia (n = 48 or 4.1%). The difference observed in the different categories of ABWGAs (GAA and BWA) was statistically significant (p &lt; 0.05) (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p><xref ref-type="fig" rid="fig3">Figure 3</xref> provides information on the sex of newborns. In 52.4% of cases (n = 198), NB were male whereas girls accounted for 47.6%, or 180 newborns. Compared with sex, macrosomes, post-term and prematurity were predominantly male with 56.2% (n = 27), 65.2% (n = 43) and 50.3% (n = 83). The difference observed between the male and female sex was statistically significant for the post-term (p &lt; 0.05).</p><p>In this study, early neonatal mortality was 10.5% (n = 122) among live births (n = 1158). Premature were the most affected, followed by post-mature, dysmature and macrosome, respectively with 6.6 (n = 77), 2.3% (n = 27), and 1.3% (n = 15) and 0.3% (n = 3) (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p><p>GAAs were significantly the leading causes of early neonatal deaths (p &lt; 0.05) (<xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="fig" rid="fig4">Figure 4</xref>). Macrosomes were less concerned than premature infants (6.2% than 46.5%). Indeed, the order of early neonatal deaths was as follows: Prematurity &gt; Post-maturity &gt; Dysmaturity &gt; Macrosomia.</p></sec><sec id="s4"><title>4. Discussion</title><p>The health of the NB remains a major concern of the WHO [<xref ref-type="bibr" rid="scirp.74949-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref12">12</xref>] . Africa is</p><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Gender of newborns with anomalies in birth weight and gestational age. **p &lt; 0.05</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/74949x4.png"/></fig><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Prognosis of newborns with anomalies in birth weight and gestational age in relation to all births in the early neonatal period (n = 1158)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/74949x5.png"/></fig><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Prognosis of newborns with anomalies in birth weight and gestational age in early neonatal period</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >ABWGA</th><th align="center" valign="middle" >Total n (%)</th><th align="center" valign="middle" >As well n (%)</th><th align="center" valign="middle" >Deaths n (%)</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >GAA</td><td align="center" valign="middle" >231 (100)</td><td align="center" valign="middle" >127 (55.0)</td><td align="center" valign="middle" >104 (45.0)</td><td align="center" valign="middle"  rowspan="6"  >S*</td></tr><tr><td align="center" valign="middle" >PREMATURE</td><td align="center" valign="middle" >165 (100)</td><td align="center" valign="middle" >88 (53.5)</td><td align="center" valign="middle" >77 (46.5)</td></tr><tr><td align="center" valign="middle" >POST-MATURE</td><td align="center" valign="middle" >66 (100)</td><td align="center" valign="middle" >39 (59.1)</td><td align="center" valign="middle" >27 (40.9)</td></tr><tr><td align="center" valign="middle" >BWA</td><td align="center" valign="middle" >147 (100)</td><td align="center" valign="middle" >129 (87.8)</td><td align="center" valign="middle" >18 (12.2)</td></tr><tr><td align="center" valign="middle" >DYSMATURE</td><td align="center" valign="middle" >99 (100)</td><td align="center" valign="middle" >84 (84.8)</td><td align="center" valign="middle" >15 (15.2)</td></tr><tr><td align="center" valign="middle" >MACROSOME</td><td align="center" valign="middle" >48 (100)</td><td align="center" valign="middle" >45 (93.8)</td><td align="center" valign="middle" >3 (6.2)</td></tr><tr><td align="center" valign="middle" >Total n (%)</td><td align="center" valign="middle" >378 (100)</td><td align="center" valign="middle" >256 (67.7)</td><td align="center" valign="middle" >122 (32.3)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>S*: The difference between GAA and BWA in death groups is statistically significant.</p><p>the continent with high birth and infant mortality rates [<xref ref-type="bibr" rid="scirp.74949-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref12">12</xref>] . We conducted this study in women with a profile of parturients whose average age was 27.9 &#177; 1.5 years, mostly primiparous (38.9%) and whose pregnancy monitoring was insufficient. Our objective was to determine the overall frequency of anomalies in birth weight and gestational age in our environment. There was hardly any in- depth study of each type of ABWGA. After analyzing the results, BWA (macrosomes and dysmature) and GAA (premature and post-term) constitute a real public health problem in Lubao with 12.7% and 19.9% respectively, i.e. an overall frequency of 32.6%. Thus, one in three newborns carries an ABWGA. It would seem that this frequency is higher. This high frequency can be explained mainly by the poor socioeconomic conditions of a large part of the population, inadequate prenatal consultations and the high prevalence of malaria in the region. In our context, some additional factors would be associated but studies would be required. Our work is limited to determining the frequency of ABWGA. Indeed, malaria and poor follow-up of pregnancies have been incriminated in the occurrence of different anomalies of birth weight and gestational age in the world [<xref ref-type="bibr" rid="scirp.74949-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref11">11</xref>] . Male NBs were the most affected (52.4%) without being statistically significant. In the medical literature consulted in various search engines, no study had approached the ABWGAs as a whole. This situation limits our discussion by the fact that this study seems to be the first.</p><p>In comparison with live births, prematurity was the first ABWGA encountered (14.2%) followed by dysmaturity (8.6%), post-maturity (5.7%) and macrosomia (4.1%). The incidence of prematurity in this series of studies is close to that of certain African authors: Pambou et al. [<xref ref-type="bibr" rid="scirp.74949-ref4">4</xref>] in the Republic of the Congo 16.8%, Yed et al. [<xref ref-type="bibr" rid="scirp.74949-ref13">13</xref>] in Burkina Faso 15.88%, Chiesa et al. [<xref ref-type="bibr" rid="scirp.74949-ref14">14</xref>] in Gabon 11.8% and Balaka et al. [<xref ref-type="bibr" rid="scirp.74949-ref15">15</xref>] in Togo 11.3%. The results of Tietche et al. [<xref ref-type="bibr" rid="scirp.74949-ref16">16</xref>] 21.5%, Nagalo [<xref ref-type="bibr" rid="scirp.74949-ref3">3</xref>] 33.6% and Nyenga [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>] 43% in the DRC were higher than what we met in Lubao. On the other hand, Ciss&#233; et al. [<xref ref-type="bibr" rid="scirp.74949-ref5">5</xref>] , Kalume et al. [<xref ref-type="bibr" rid="scirp.74949-ref17">17</xref>] and Bernardi [<xref ref-type="bibr" rid="scirp.74949-ref18">18</xref>] had mentioned frequencies lower than our results.</p><p>The DRC is among the top 10 countries with the highest prevalence rate of prematurity despite efforts to reduce it [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>] .</p><p><xref ref-type="table" rid="table3">Table 3</xref> reports the frequencies of the different birth and gestational age anomalies according to authors and countries.</p><p>While published work on infant mortality (0 - 5 years) is readily available, this is still not the case for neonatal mortality in sub-Saharan Africa. This situation is certainly due to the failure of vital demographic data and the numerous deliveries and deaths of newborn babies at home [<xref ref-type="bibr" rid="scirp.74949-ref9">9</xref>] .</p><p>In this study series, the mortality rate of newborns in the early neonatal period following ABWGA was 10.5%, that is to say at least one in ten newborns died after birth. This rate represents 32.3% of NB with ABWGA. The gestational age abnormalities, already mentioned more frequently, are also significantly the most affected. Neonatal mortality remains a concern for any health program [<xref ref-type="bibr" rid="scirp.74949-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref12">12</xref>] and remains an indicator of the quality of neonatal health [<xref ref-type="bibr" rid="scirp.74949-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref19">19</xref>] . In our context, it is very high and requires exceptional measures from the Ministry of Public Health and its partners. We dare to believe that the lack of necessary resources (obstetrician, neonatologist, incubator, heating table, oxygenotherapy, etc.) for the management of this fragile NB (ABWGA) would be the basis of this great mortality. Early neonatal mortality was 16% in Ivoire Coast [<xref ref-type="bibr" rid="scirp.74949-ref9">9</xref>] and 27.4% in Senegal [<xref ref-type="bibr" rid="scirp.74949-ref5">5</xref>] . The overall neonatal mortality (early and late) was 24.15% in Antananarivo (Madagascar) [<xref ref-type="bibr" rid="scirp.74949-ref19">19</xref>] and 16.7% in the Bukavu Provincial Hospital (DRC) [<xref ref-type="bibr" rid="scirp.74949-ref12">12</xref>] . No study, apart from this, shows the early neonatal mortality associated with ABWGA.</p><p>Among the newborns with ABWGA, prematurity was the first cause of NB deaths with ABWGA (46.5%) followed by post-term (40.9%), dysmature (15.2%)</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Frequency of ABWGAs in the medical literature</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Authors</th><th align="center" valign="middle" >Country</th><th align="center" valign="middle" >Premature</th><th align="center" valign="middle" >Post-term</th><th align="center" valign="middle" >Macrosome</th><th align="center" valign="middle" >Dysmature</th></tr></thead><tr><td align="center" valign="middle" >Our study</td><td align="center" valign="middle" >DRC</td><td align="center" valign="middle" >14.2%</td><td align="center" valign="middle" >5.7%</td><td align="center" valign="middle" >4.1%</td><td align="center" valign="middle" >8.6%</td></tr><tr><td align="center" valign="middle" >Iloki [<xref ref-type="bibr" rid="scirp.74949-ref20">20</xref>]</td><td align="center" valign="middle" >Morocco</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >4.09%</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Laghzaoui [<xref ref-type="bibr" rid="scirp.74949-ref21">21</xref>]</td><td align="center" valign="middle" >Morocco</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >7.5%</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Dias [<xref ref-type="bibr" rid="scirp.74949-ref22">22</xref>]</td><td align="center" valign="middle" >Morocco</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >9%</td></tr><tr><td align="center" valign="middle" >Djadou [<xref ref-type="bibr" rid="scirp.74949-ref23">23</xref>]</td><td align="center" valign="middle" >Togo</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >11%</td></tr><tr><td align="center" valign="middle" >Ndiaye [<xref ref-type="bibr" rid="scirp.74949-ref11">11</xref>]</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >9.1%</td></tr><tr><td align="center" valign="middle" >Balaka [<xref ref-type="bibr" rid="scirp.74949-ref15">15</xref>]</td><td align="center" valign="middle" >Togo</td><td align="center" valign="middle" >11.1%</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" >Nagalo [<xref ref-type="bibr" rid="scirp.74949-ref3">3</xref>]</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >33.6%</td><td align="center" valign="middle" >2.3%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Tietche [<xref ref-type="bibr" rid="scirp.74949-ref16">16</xref>]</td><td align="center" valign="middle" >Cameroon</td><td align="center" valign="middle" >33.6%</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" >Kakundji [<xref ref-type="bibr" rid="scirp.74949-ref24">24</xref>]</td><td align="center" valign="middle" >DRC</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >5.7%</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mumba [<xref ref-type="bibr" rid="scirp.74949-ref8">8</xref>]</td><td align="center" valign="middle" >DRC</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >4.4%</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Nyenga [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>]</td><td align="center" valign="middle" >DRC</td><td align="center" valign="middle" >43%**</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" >Fuchs [<xref ref-type="bibr" rid="scirp.74949-ref25">25</xref>]</td><td align="center" valign="middle" >France</td><td align="center" valign="middle" >6.6%</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" >Butali [<xref ref-type="bibr" rid="scirp.74949-ref26">26</xref>]</td><td align="center" valign="middle" >Nigeria</td><td align="center" valign="middle" >16.8%</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" >Ezewui [<xref ref-type="bibr" rid="scirp.74949-ref27">27</xref>]</td><td align="center" valign="middle" >Nigeria</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >8.1%</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>**: Transfered cases from others medical centers represent 67%.</p><p>and macrosome (6.2%). This same observation was evoked by Ndiaye, Ciss&#233;, Nyenga and Mutombo [<xref ref-type="bibr" rid="scirp.74949-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref11">11</xref>] . On the other hand, mortality was very low in the rank of macrosome (<xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="fig" rid="fig4">Figure 4</xref>). The preterm infant is a fragile being exposed to several complications (return to fetal circulation, hypog- lycemia, hypothermia, respiratory distress, peri-ventricular leucomalacia, peri- ventricular hemorrhage, hyponatremia, hypocalcemia, infections, etc.) could have a dominant role in the incidence of mortality. Mortality in premature infants (<xref ref-type="table" rid="table2">Table 2</xref>) is close to Ye et al. [<xref ref-type="bibr" rid="scirp.74949-ref13">13</xref>] in Burkina Faso with 40.4% but lower than Balaka et al. [<xref ref-type="bibr" rid="scirp.74949-ref15">15</xref>] 30.1% and Ciss&#233; et al. [<xref ref-type="bibr" rid="scirp.74949-ref5">5</xref>] 30.7%.</p><p>Mortality due to dysmaturity among live births in our series remains far lower than that reported by DIAS [<xref ref-type="bibr" rid="scirp.74949-ref22">22</xref>] in Morocco: 1.3% than 23% (but for DIAS, it was a question of the early and late mortality of All newborns regardless of ABW- GA).</p><p>The frequency and early neonatal mortality of APNAG would be underestimated in our series, in case the many home births are included. Nevertheless, these results confirm the high frequency of ABWGA and the arguments that Africa in general and the DRC in particular are the places where the newborns have a higher risk of mortality [<xref ref-type="bibr" rid="scirp.74949-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.74949-ref19">19</xref>] .</p><p>The proportion of ABWGAs, especially in rural areas, should be of concern to health decision-makers. Efforts to improve the survival of mothers and newborns should be encouraged. Prospective cohort studies are very necessary to complement the results of this study, particularly with regard to the association factors and fate of these children with birth weight and gestational age abnormalities.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Anomalies in birth weight and gestational age affect 32.6% of newborns and stand as serious health problems to which appropriate responses are required. The rate of early neonatal mortality (10.5%) remains very high. Efforts must be urgently made at all levels in terms of population education, monitoring and management of women from beginning of pregnancy up to the postpartum periods. The conditions for NB care, in particular those with ABWGA with predominance in the first place by prematurity, had to be improved. In waiting for the public authorities to affect the qualified personnel (specialists in neonatology and obstetrics), we advocate, in addition to the equipment to be provided for the care of the NB, the continuing training of the health personnel in the mother’s health and the new-born.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We would like to thank the maternity nurses at Lubao Generals Reference Hospital for their good cooperation during the data collection phase: Your bravery to save the lives of mothers and newborns with meager resources is truly a source of inspiration.</p><p>Also, the authors would like to thank Jacques NSOMWE ABEDI<sup>†</sup> and Marie KISEME<sup>†</sup> for their help in data collects.</p></sec><sec id="s7"><title>Conflict of Interest</title><p>The authors do not declare any conflicts of interest in connection with this study.</p></sec><sec id="s8"><title>Cite this paper</title><p>Kabemba, B.H., Kasendue, E.P., Shiku, M.A., Kabingie, N.G., Ngiele, M.D., Kitengie, T.J., et al. (2017) Frequency and Early Neonatal Mortality Related to Anomalies of Birth Weight and Gestational Age in Rural Areas: A Case of the General Reference Hospital of Lubao (Lomami Province, Democratic Republic of Congo). Open Access Library Journal, 4: e3433. https://doi.org/10.4236/oalib.1103433</p></sec></body><back><ref-list><title>References</title><ref id="scirp.74949-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">WHO Newborn: Reducing Mortality [OMS. Nouveau-n&amp;eacute;: R&amp;eacute;duire la mortalit&amp;eacute;] (2016) Aide-M&amp;eacute;moire No. 333.</mixed-citation></ref><ref id="scirp.74949-ref2"><label>2</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Ancel</surname><given-names> P.-Y. </given-names></name>,<etal>et al</etal>. (<year>2012</year>)<article-title>An Increasing Frequency: Epidemiology of Prematurity [Une fr&amp;eacute;quence en augmentation: Epid&amp;eacute;miologie de la pr&amp;eacute;maturit&amp;eacute;]</article-title><source> Revue du Praticien</source><volume> 62</volume>,<fpage> 362</fpage>-<lpage>365</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.74949-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Nagalo, K., Dao, F., Badiel, R., Sawadogo, O., Housseini Tall, F.H. and Ye, D. (2015) Epidemiological, Clinical and Prognostic Aspects of Preterm Birth over 10 Years in Ouagadougou (Burkina Faso). Journal of Pediatric Sciences, 7, e231. https://doi.org/10.17334/jps.69907</mixed-citation></ref><ref id="scirp.74949-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Pambou, O., Nisika-Kaya, P., Ekoundzola, J.R. and Mayanda, F. (2006) Live Pre-Term Birth in Brazzaville UTH [Naissance vivantes avant-terme au CHU de Brazzaville]. Cahiers Sant&amp;eacute;, 16, 185-189.</mixed-citation></ref><ref id="scirp.74949-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Ciss&amp;eacute;, C.T., Martin, S.L., Ngoma, S.J., Mendes, V. and Diadhiou, F. (1996) Early Neonatal Mortality at Dakar CHU Maternity: Current Situation and Evolutionary Trends between 1987 and 1994 [Mortalit&amp;eacute; n&amp;eacute;onatale pr&amp;eacute;coce a la maternit&amp;eacute; du CHU de Dakar: Situation actuelle et tendances &amp;eacute;volutives entre 1987 et 1994]. M&amp;eacute;decine d’Afrique Noire, 43, 155-158.</mixed-citation></ref><ref id="scirp.74949-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Lejeune, C. (2008) Precarious and Premature [Pr&amp;eacute;carit&amp;eacute; et pr&amp;eacute;matur&amp;eacute;]. Journal de P&amp;eacute;diatrie et de Pu&amp;eacute;riculture, 21, 344-348. https://doi.org/10.1016/j.jpp.2008.09.008</mixed-citation></ref><ref id="scirp.74949-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Nyenga, M.A., Mwananteba, A., Kanteng, A.W., Lubala, K.T. and Yaba, A. (2013) Profile and Mortality Risk in Preterm Infants at Sendwe/Lubumbashi Hospital, DR Congo [Profil et risque de mortalit&amp;eacute; chez les pr&amp;eacute;matur&amp;eacute;s &amp;agrave; l’h&amp;ocirc;pital Sendwe/Lubumbashi, RD Congo]. Revue de P&amp;eacute;diatrie du fleuve Congo, 1, 29-37.</mixed-citation></ref><ref id="scirp.74949-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Mumba Mukandila, A., Balayi Miteo, A., Kadima Mutombo, C. and Biayi Mikenji, J. (2016) Fetal Macrosomia in Urban Areas: Prevalence, Determinants and Outcome of Childbirth (about 154 Cases in Mbuji-Mayi) [La macrosomie f&amp;oelig;tale en milieu urbain: Pr&amp;eacute;valence, facteurs d&amp;eacute;terminants et issue de l’accouchement (&amp;agrave; propos de 154 cas &amp;agrave; Mbuji-Mayi)]. Revue Medicale des grands Lacs, 7, 25-29.</mixed-citation></ref><ref id="scirp.74949-ref9"><label>9</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Mutombo</surname><given-names> T. </given-names></name>,<etal>et al</etal>. (<year>1993</year>)<article-title>Neonatal Mortality in a Rural Hospital: Case of the Protestant Hospital in Dabou (C&amp;ocirc;te d’Ivoire) [Mortalit&amp;eacute; n&amp;eacute;onatale dans un h&amp;ocirc;pital rural: Cas de l’h&amp;ocirc;pital protestant de Dabou (c&amp;ocirc;te d’Ivoire)]</article-title><source> Medecine d’Afrique Noire</source><volume> 40</volume>,<fpage> 471</fpage>-<lpage>479</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.74949-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Balegamire Safari, J., Bisimwa Nkemba, A., Namegabe Bahizire, E., Bisimwa Balaluka, G., Bahwere, P., Donnen, P., et al. (2015) A Comparative Study of the Mortality and Pathologies Responsible for Mortality in South Kivu in the Democratic Republic of Congo before and after the Period of Chronic Security Instability [Etude comparative de la mortalit&amp;eacute; et des pathologies responsables de la mortalit&amp;eacute; au Sud-Kivu en R&amp;eacute;publique D&amp;eacute;mocratique du Congo avant et après la p&amp;eacute;riode d’instabilit&amp;eacute; s&amp;eacute;curitaire chronique]. Medecine d’Afrique Noire, 62, 581-597.</mixed-citation></ref><ref id="scirp.74949-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Ndiaye, O., Fall, A.L., Grame, A., Sylla, A., Gueye, M., Ciss&amp;eacute;, T., et al. (2006) Etiological Factors of Prematurity in the Zinguinchor Regional Hospital Center (Senegal) [Facteurs &amp;eacute;tiologiques de la pr&amp;eacute;maturit&amp;eacute; au centre hospitalier r&amp;eacute;gional de Zinguinchor (S&amp;eacute;n&amp;eacute;gal)]. Bulletin de la Soci&amp;eacute;t&amp;eacute; de Pathologie Exotique, 99, 113-114.</mixed-citation></ref><ref id="scirp.74949-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Kambale, R., Maseka, A., Bwija, J., Bapolisi, W., Bashi, J., Masumbuko, B., et al. (2016) Risk Factors Associated with Neonatal Mortality in a Tertiary-Level Hospital in the Democratic Republic of Congo [Facteurs de risque associ&amp;eacute;s &amp;agrave; la mortalit&amp;eacute; n&amp;eacute;onatale dans un h&amp;ocirc;pital de niveau tertiaire en R&amp;eacute;publique D&amp;eacute;mocratique du Congo]. Medecine d’Afrique Noire, 63, 401-408.</mixed-citation></ref><ref id="scirp.74949-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Ye, D., Kam, K.L., Sanou, I., Traore, A., Dao, L., Koueta, F., et al. (1999) Epidemiological and Evolutionary Study of Prematurity in the Neonatology Unit of the CHU-Yo of Ouagadougou (Burkina Faso) [Etude &amp;eacute;pid&amp;eacute;miologique et &amp;eacute;volutive de la pr&amp;eacute;maturit&amp;eacute; dans l’unit&amp;eacute; de n&amp;eacute;onatologie du CHU-Yo de Ouagadougou (Burkina Faso)]. Annales de Pediatrie, 46, 643-648.</mixed-citation></ref><ref id="scirp.74949-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Chiesa Moutandou-Mboumba, S. and Mounanga, M. (1999) Preterm in Gabon: A Medical and/or Social Problem? [La pr&amp;eacute;matur&amp;eacute; au Gabon: Problème m&amp;eacute;dical et/ou de soci&amp;eacute;t&amp;eacute; ?]. Medecine d’Afrique Noire, 46, 435-441.</mixed-citation></ref><ref id="scirp.74949-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Balaka, B., Baeta, S., Agbèrè, A.D., Boko, K., Kessie, K. and Assimadi, K. (2002) Risk Factors Associated with Prematurity at the Lom&amp;eacute; University Hospital, Togo [Facteurs de risque associ&amp;eacute;s &amp;agrave; la pr&amp;eacute;maturit&amp;eacute; au CHU de Lom&amp;eacute;, Togo]. Bulletin de la Soci&amp;eacute;t&amp;eacute; de Pathologie Exotique, 95, 280-283.</mixed-citation></ref><ref id="scirp.74949-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Tietche, F., Ngoufack, G., Kago, I., Mbonda, E., Koki Ndombo, P.O. and Leke, R.I. (1998) Etiological Factors Associated with Intra-Uterine Growth Retardation in Yaound&amp;eacute; (Cameroon): Preliminary Study [Facteurs &amp;eacute;tiologiques associes au retard de croissance intra-ut&amp;eacute;rine &amp;agrave; Yaound&amp;eacute; (Cameroun): Etude pr&amp;eacute;liminaire]. Medecine d’Afrique Noire, 45, 377-380.</mixed-citation></ref><ref id="scirp.74949-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Kalume, M. and Kizonde, K. (2006) Early Neonatal Mortality of Preterm Infants in Lubumbashi: Risk Factors [Mortalit&amp;eacute; n&amp;eacute;onatale pr&amp;eacute;coce du pr&amp;eacute;matur&amp;eacute; &amp;agrave; Lubumbashi: Facteurs de risque]. Medecine d’Afrique Noire, 53, 343-348.</mixed-citation></ref><ref id="scirp.74949-ref18"><label>18</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Berardi</surname><given-names> J.C. </given-names></name>,<etal>et al</etal>. (<year>1992</year>)<article-title>The Premature Medical Decision: Analysis of a Retrospective Study on 18 Maternities of the Parisian Periphery [Le pr&amp;eacute;matur&amp;eacute; de d&amp;eacute;cision m&amp;eacute;dicale: Analyse d’une &amp;eacute;tude r&amp;eacute;trospective portant sur 18 maternit&amp;eacute;s de la P&amp;eacute;riph&amp;eacute;rie parisienne]</article-title><source> Journal de Gyn&amp;eacute;cologie Obst&amp;eacute;trique et Biologie de la Reproduction</source><volume> 21</volume>,<fpage> 943</fpage>-<lpage>946</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.74949-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Ranaivoarisoa, R., Rakotoarisoa, H., Raobijaona, H., Rakotomahefa, M. and Rabeatoandro, S. (2011) Morbidity and Mortality of Children in Pediatric Wards in Antananarivo [Morbidit&amp;eacute; et mortalit&amp;eacute; des enfants au service de p&amp;eacute;diatrie &amp;agrave; Antananarivo]. Medecine d’Afrique Noire, 58, 5-8.</mixed-citation></ref><ref id="scirp.74949-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Iloki, L.H., Itoua, C., Mbemba Moutounou, G.M., Massouama, R. and Koko, P.S. (2014) Fetal Macrosomia: Risk Factors and Materno-Fetal Complications in Brazzaville (Republic of Congo) [Macrosomie f&amp;oelig;tale: Facteurs de risque et complications materno-foetale &amp;agrave; Brazzaville (R&amp;eacute;publique du Congo)]. Medecine d’Afrique Noire, 61, 479-486.</mixed-citation></ref><ref id="scirp.74949-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Laghzaoui Boukaidi, M., Bouhya, S., Hermas, S., Bennani, O. and Aderdour, M. (2004) Epidemiology of Macrosomia [Epid&amp;eacute;miologie de la macrosomie]. Maroc M&amp;eacute;dical, 26, 99-102.</mixed-citation></ref><ref id="scirp.74949-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Dias, C. and Aboussad, A. (2013) Epidemiological, Clinical, Etiological Profiles and Short-Term Evaluation of RCIU Hospitalized in the Neonatal and Neonatal Resuscitation Department of CHU Mohammed VI during the Year 2010. Faculty of Medicine and Pharmacy—Marrakech [Profils &amp;eacute;pid&amp;eacute;miologique, clinique, &amp;eacute;tiologiques, et &amp;eacute;valuation &amp;agrave; court terme des RCIU hospitalis&amp;eacute;s au service de N&amp;eacute;onatalogie et de R&amp;eacute;animation N&amp;eacute;onatale du CHU Mohammed VI durant l’ann&amp;eacute;e 2010. Facult&amp;eacute; de M&amp;eacute;decine et de Pharmacie—Marrakech]. Maroc.</mixed-citation></ref><ref id="scirp.74949-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Djadou, K., Sadzou-Hetsu, K., Tatagan-Agbi, K., Assimadi, K. and Lapillome, A. (2005) Anthropometric Parameters, Frequency and Risk Factors of Intrauterine Growth Retardation in Term Neonates in North Togo [Paramètres anthropom&amp;eacute;triques, fr&amp;eacute;quence et facteurs de risque du retard de croissance intra-ut&amp;eacute;rin chez les nouveau-n&amp;eacute;s &amp;agrave; terme dans la r&amp;eacute;gion du Nord-Togo]. Archives de P&amp;eacute;diatrie, 12, 1320-1326. https://doi.org/10.1016/j.arcped.2005.03.051</mixed-citation></ref><ref id="scirp.74949-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Kakudji Luhete, P., Mukuku, O., Mubinda Kiopin, P., Mwembo Tambwe, A. and Kalenga Muenze Kayamba, P. (2016) Fetal Macrosomia in Lubumbashi: Risk Factors and Maternal and Perinatal Prognosis [Macrosomie f&amp;oelig;tale &amp;agrave; Lubumbashi: Facteurs de risque et pronostic maternel et p&amp;eacute;rinatal]. Pan African Medical Journal, 23, 166. https://doi.org/10.11604/pamj.2016.23.166.7362</mixed-citation></ref><ref id="scirp.74949-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Fuchs, F., Bouyer, J., Rozenberg, P. and Senat, M.V. (2013) Adverse Maternal Outcomes Associated with Fetal Macrosomia: What Are the Risk factors beyond Birthweight? BMC Pregnancy and Childbirth, 8, 90. https://doi.org/10.1186/1471-2393-13-90</mixed-citation></ref><ref id="scirp.74949-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Butali, A., Ezeaka, C., Ekhaguere, O., Weathers, N., Ladd, J., Fajolu, I., et al. (2016) Characteristics and Risk Factors of Preterm Births in a Tertiary Center in Lagos, Nigeria. Pan African Medical Journal, 24, 1-7. https://doi.org/10.11604/pamj.2016.24.1.8382</mixed-citation></ref><ref id="scirp.74949-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Ezegwui, H.U., Ikeako, L.C. and Egbuji, C. (2011) Fetal Macrosomia: Obstetric Outcome of 311 Cases in UNTH, Enugu, Nigeria. Nigerian Journal of Clinical Practice, 14, 322-326. https://doi.org/10.4103/1119-3077.86777</mixed-citation></ref></ref-list></back></article>