<?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.2021.112015</article-id><article-id pub-id-type="publisher-id">OJOG-107375</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>
 
 
  Relation Ship of Maternal Haemoglobin Concentration Measured in Labour with Neonatal Outcome among Sudanese Women
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nada</surname><given-names>Elamin Abdallah Badi</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>Hassabelrasol</surname><given-names>Ata Almoula</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>Nahla</surname><given-names>Idris Abdalla Idris</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>Yassir</surname><given-names>Hamadalnil</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>Siddig</surname><given-names>Omer M. Handady</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Suliman Alhabib Hospital, Riyadh, Saudi Arabia</addr-line></aff><aff id="aff4"><addr-line>Faculty of Medicine, Omdurman Ahlia University, Khartoum, Sudan</addr-line></aff><aff id="aff1"><addr-line>Omdurman Maternity Hospital, Khartoum, Sudan</addr-line></aff><aff id="aff3"><addr-line>Faculty of Medicine, Nile University Khartoum, Sudan</addr-line></aff><pub-date pub-type="epub"><day>03</day><month>02</month><year>2021</year></pub-date><volume>11</volume><issue>02</issue><fpage>131</fpage><lpage>139</lpage><history><date date-type="received"><day>2,</day>	<month>December</month>	<year>2020</year></date><date date-type="rev-recd"><day>22,</day>	<month>February</month>	<year>2021</year>	</date><date date-type="accepted"><day>25,</day>	<month>February</month>	<year>2021</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>
 
 
  Objective:
   Data showed that maternal anaemia during pregnancy negatively affects maternal/fetal outcomes. We here attempted to re-confirm this in this specific region of Sudan, with special reference to fetal/neonatal outcome. <b>Methodology:</b> This cross-sectional observational study was carried out at Omdurman Maternity and Khartoum North Teaching Hospitals-Sudan from March 2018 to March 2019, with 246 pregnant women presented in labour enrolled. Maternal characteristics, haemoglobin (Hb) measured after labour initiation and fetal/neonatal outcomes were analyzed. <b>Results:</b> When maternal anemia was defined as Hb less than 10.0 g/dL, 80 (32.5%) had anemia and 166 had not. Anemic women (Hb; 8.3 &#177; 0.31), compared with non-anemic women (Hb; 11.4 &#177; 0.61), were significantly more likely to have low birth weight (LBW) infants (40% vs. 15.7%) and still birth (12.5% vs. 4.8%). There was a correlation between hemoglobin concentration and the followings: LBW, respiratory distress syndrome, neonatal nursery admission, still birth, early neonatal death, and low Apgar score. <b>Conclusions:</b> Maternal aneamia negatively affected fetal/neonatal outcomes. This data may be useful to make health policy in this area.
 
</p></abstract><kwd-group><kwd>Maternal Hemoglobin</kwd><kwd> Pregnancy</kwd><kwd> Neonatal Outcome</kwd><kwd> Birth Weight</kwd><kwd> Apgar Score</kwd><kwd> Sudanese Women</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Iron deficiency anemia is a globally important public health problem, particularly for low- and middle-income countries, such as Sudan. Pregnant women and young children are especially vulnerable [<xref ref-type="bibr" rid="scirp.107375-ref1">1</xref>]. According to WHO estimates, up to 50% of all women living in developing countries are anaemic. However, the population group with the greatest number of individuals affected is pregnant women [<xref ref-type="bibr" rid="scirp.107375-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.107375-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.107375-ref4">4</xref>]. During pregnancy, the fetal demand for iron increases maternal daily iron requirements from 1 to 2.5 mg/d in early pregnancy and 6.5 mg/d in the third trimester. Anemia during pregnancy was defined as hemoglobin concentration, 10 g/dl [<xref ref-type="bibr" rid="scirp.107375-ref5">5</xref>]. Anemia that complicates pregnancy threatens the life of both the mother and the fetus and has long been considered a risk factor for LBW and low APGAR score [<xref ref-type="bibr" rid="scirp.107375-ref6">6</xref>]. With increased maternal morbidity and mortality, higher rates of preterm birth and low birth weight, and reduced infant survival, with potential long-term consequences for child growth and development [<xref ref-type="bibr" rid="scirp.107375-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.107375-ref8">8</xref>].</p><p>Thus the risk of low birth weight newborns was approximately doubled in pregnant women with moderate-to-severe anemia during the first and second trimesters, while this relationship was reversed during the third trimester [<xref ref-type="bibr" rid="scirp.107375-ref9">9</xref>]. Low birth weight (LBW) is a significant risk factor for adverse health outcomes including many childhood diseases [<xref ref-type="bibr" rid="scirp.107375-ref10">10</xref>]. Since anemia is considered to be one of the most common medical disorders during pregnancy, this association is of main importance. Data showed that maternal anaemia during pregnancy negatively affects maternal/fetal outcomes. We here attempted to re-confirm this in this specific region of Sudan, with special reference to fetal/neonatal outcome.</p></sec><sec id="s2"><title>2. Material and Methods</title><p>It was observational cross-sectional and hospital based study carried out at Omdurman Maternity and Khartoum North Teaching Hospitals-Sudan from March 2018 to March 2019. Two hundred and forty sixty (246) pregnant women presented in labour were enrolled in the study. The Open Source Epidemiologic Statistics for Public Health (https://www.openepi.com/SampleSize/SSPropor.htm) was used to calculate the sample size. With reference to the prevalence of anemia among Sudanese pregnant women (20% to 76.0%). Blood sample from the mother was collected for haemoglobin estimation. Participants completed a questionnaire on personal data and clinical history. The neonatal outcome includes the data whether the newborn alive or not. Among the alive and healthy newborn, other data was collected, including preterm birth, low birth weight, and APGAR score. In this study, low birth weight defined as the infant birth weight which less than 2500 gram and preterm birth was considered as gestational age under 37 weeks. The BMI was determined by using World Health Organization (WHO) classification for obesity.</p><p>Statistical analysis was performed via SPSS software (SPSS, Chicago, IL, USA). Continuous variables were compared using student’s t test (for paired data) or Mann-Whitney U test for non-parametric data. For categorical data, comparison was done using Chi-square test (X<sup>2</sup>) or Fisher’s exact test when appropriate. A P value of &lt;0.05 was considered statistically significant.</p><p>Ethical clearance and approval for conducting this research was obtained from the general manager of the hospitals and informed written consent was obtained from every respondent who agreed to participate in the study. The respondents informed that the study is not associated with experimental or therapeutic intervention while information was collected from them.</p></sec><sec id="s3"><title>3. Results</title><p>Total number of 246 pregnant ladies presented in labour was enrolled. <xref ref-type="table" rid="table1">Table 1</xref> shows the maternal characteristics of two groups. The mean of age was 32 &#177; 2 Std among anemic mothers, and it was 26 &#177; 2 Std among non anemic mothers. The mean haemoglobin in anaemic mothers was found to be 8.3 &#177; 0.31 gm/dl and that in non-anaemic mothers was 11.4 &#177; 0.613 gm/dl. The mean of BMI was 22 &#177; 21 Std among anemic mothers, and it was 25 &#177; 41 Std among non anemic mothers. More than half of anaemic mothers (53.8%) were primgravidous, while (33.1%) of non anaemic mothers were primgravidous. About third of anaemic mothers (32.5%) were booked, where it was (68.7%) among non anaemic mothers. The percentage of preterm labour (30% vs 15.1%; P value = 0.00) was significantly higher in anaemic mothers compared with non anaemic mothers. Anemic mothers had an increased percentages of VD (80.0% versus 70.6%; compared with non-anaemic mothers (P &lt; 0.05)).</p><p>Among anaemic mothers, 40% of new born were low birth weight, where it was 15.7% among neonates of non anaemic mothers and was found significant (P &lt; 0.05). Among anaemic mothers, 12.5% of new born were still birth, where it was 4.8% among neonates of non anaemic mothers and was found significant (P &lt; 0.05). Among anaemic mothers, 27.5% of new born were low apgar score &lt; 7, where it was 9.6% among neonates of non anaemic mothers and was found significant (P &lt; 0.05). The study showed significant correlation between hemoglobin concentration and the following measures; low birth weight (LBW), respiratory distress syndrome (RDS), neonatal nursery admission, still birth, early neonatal death, and low apgar score (P &lt; 0.05) respectively (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>This study discussed important area in obstetric practice; birth weight, neonatal outcome and haemoglobin concentration among Sudanese women presented in labour. The importance of this research based on the results which cleared that birth weight plays an important role in infant mortality and morbidity, development, and future health of the child [<xref ref-type="bibr" rid="scirp.107375-ref11">11</xref>].</p><p>Anaemia during pregnancy is a big problem because it can contribute morbidity and mortality, either in mother or newborn. Low birth weight (LBW) is a significant risk factor for adverse health outcomes including many childhood diseases [<xref ref-type="bibr" rid="scirp.107375-ref12">12</xref>].</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Shows the nonparametric correlation between the two groups regarding demographic data and clinical characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >Anaemic mothers 80</th><th align="center" valign="middle"  colspan="2"  >Non anaemic mothers 166</th><th align="center" valign="middle"  rowspan="2"  >P value</th></tr></thead><tr><td align="center" valign="middle" >Count</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Count</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Age in years</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;20</td><td align="center" valign="middle" >09</td><td align="center" valign="middle" >11.2%</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >13.2%</td><td align="center" valign="middle"  rowspan="5"  >0.124</td></tr><tr><td align="center" valign="middle" >20 - 30</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >33.8%</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >39.2%</td></tr><tr><td align="center" valign="middle" >31 - 35</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >45.0%</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >30.7%</td></tr><tr><td align="center" valign="middle" >&gt;35</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >10.0%</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >16.9%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >100.00%</td></tr><tr><td align="center" valign="middle" >BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;20</td><td align="center" valign="middle" >05</td><td align="center" valign="middle" >06.2%</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >10.8%</td><td align="center" valign="middle"  rowspan="5"  >0.01*</td></tr><tr><td align="center" valign="middle" >20 - 25</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >51.3%</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >32.6%</td></tr><tr><td align="center" valign="middle" >26 - 30</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >30.0%</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >34.9%</td></tr><tr><td align="center" valign="middle" >&gt;30</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >12.5%</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >21.7%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >100.0%</td></tr><tr><td align="center" valign="middle" >GA</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Preterm</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >30.0%</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >15.1%</td><td align="center" valign="middle"  rowspan="3"  >0.00*</td></tr><tr><td align="center" valign="middle" >Term</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >70.0%</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >84.9%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >00.00%</td></tr><tr><td align="center" valign="middle" >Party</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >PG</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >53.8%</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >33.1%</td><td align="center" valign="middle"  rowspan="4"  >0.134</td></tr><tr><td align="center" valign="middle" >Multipara</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >25.0%</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >35.5%</td></tr><tr><td align="center" valign="middle" >Grandmultipara</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >21.2%</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >31.4%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >100.00%</td></tr><tr><td align="center" valign="middle" >Status of booking</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Booked</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >32.5%</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >68.7%</td><td align="center" valign="middle"  rowspan="3"  >0.04*</td></tr><tr><td align="center" valign="middle" >Un booked</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >67.5%</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >31.3%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >100.0%</td></tr><tr><td align="center" valign="middle" >Mode of delivery</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >SVD</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >75.0%</td><td align="center" valign="middle" >111</td><td align="center" valign="middle" >66.9%</td><td align="center" valign="middle"  rowspan="4"  >0.215</td></tr><tr><td align="center" valign="middle" >IVD</td><td align="center" valign="middle" >04</td><td align="center" valign="middle" >05.0%</td><td align="center" valign="middle" >06</td><td align="center" valign="middle" >03.6%</td></tr><tr><td align="center" valign="middle" >C/S</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >20.0%</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >29.5%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >100.0%</td></tr></tbody></table></table-wrap><p>*Statistically significant at 0.05 level.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Shows the nonparametric correlation between the two groups regarding neonatal outcome</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Neonatal outcome</th><th align="center" valign="middle"  colspan="2"  >Anaemic mothers 80</th><th align="center" valign="middle"  colspan="2"  >Non anaemic mothers 166</th><th align="center" valign="middle"  rowspan="2"  >P value</th></tr></thead><tr><td align="center" valign="middle" >Count</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Count</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Neonatal weight</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;2500 kg</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >40.0%</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >15.7%</td><td align="center" valign="middle"  rowspan="3"  >0.001*</td></tr><tr><td align="center" valign="middle" >&gt;2500kg</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >60.0%</td><td align="center" valign="middle" >140</td><td align="center" valign="middle" >84.3%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >100.0%</td></tr><tr><td align="center" valign="middle" >Neonatal outcome</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Alive</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >80.0%</td><td align="center" valign="middle" >154</td><td align="center" valign="middle" >92.8%</td><td align="center" valign="middle"  rowspan="4"  >0.000*</td></tr><tr><td align="center" valign="middle" >Still birth</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >12.5%</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >04.8%</td></tr><tr><td align="center" valign="middle" >END</td><td align="center" valign="middle" >06</td><td align="center" valign="middle" >07.5%</td><td align="center" valign="middle" >04</td><td align="center" valign="middle" >02.4%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >100.0%</td></tr><tr><td align="center" valign="middle" >RDS</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >46. 2%</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >11.4%</td><td align="center" valign="middle"  rowspan="3"  >0.00*</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >53. 8%</td><td align="center" valign="middle" >147</td><td align="center" valign="middle" >88.6%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >00.0%</td></tr><tr><td align="center" valign="middle" >Apgar score</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;7</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >27.5%</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >09.6%</td><td align="center" valign="middle"  rowspan="3"  >0.01*</td></tr><tr><td align="center" valign="middle" >&gt;7</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >72.5%</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >90.4%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >100.00%</td></tr><tr><td align="center" valign="middle" >Nursery admission</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >61.2%</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >22.3%</td><td align="center" valign="middle"  rowspan="3"  >0.00*</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >38.8%</td><td align="center" valign="middle" >129</td><td align="center" valign="middle" >77.7%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >100.00%</td></tr><tr><td align="center" valign="middle" >Prolong hospitliation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >28.8%</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >12.7%</td><td align="center" valign="middle"  rowspan="3"  >0.13</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >71.2%</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >87.3%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >100.0%</td></tr></tbody></table></table-wrap><p>*Statistically significant at 0.05 level.</p><p>This observational study showed that neonates born to anaemic mothers had a poorer neonatal outcome when prenatal maternal haemoglobin concentration was low.</p><p>Out of 246 pregnant women in this study, more than third (32.5%) of them were suffering from anaemia. It is comparable to the previous study which stated that from 35% to 75% (56% on average) of pregnant women in developing countries, and 18% of women from industrialized countries are anemic [<xref ref-type="bibr" rid="scirp.107375-ref13">13</xref>]. The minimum prevalence of anemia among pregnant women in Sudan was 23.46% observed in a study conducted in Khartoum and the highest, 76.0% was observed in a study conducted in Eastern Sudan.</p><p>It is not surprising to notice that, finding of the current study revealed that anaemic mothers are at risk for some adverse neonatal outcomes such as low birth weight, RDS, still birth, preterm labour and nursery admission. Our result was comparable to other studies which obtained same finding [<xref ref-type="bibr" rid="scirp.107375-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.107375-ref7">7</xref>]. This is also supported by the findings from Murphy JF [<xref ref-type="bibr" rid="scirp.107375-ref8">8</xref>].</p><p>The current study revealed that 40.0% of low birth weight babies were born to anaemic mothers whereas 15.7% of those born to non anaemic mothers. Rasmussen KM et al. reported that strong evidence exists for an association between maternal hemoglobin concentration and birth weight as well as between maternal hemoglobin concentration and preterm birth [<xref ref-type="bibr" rid="scirp.107375-ref14">14</xref>]. Lone FW et al. showed “Maternal hemoglobin values during pregnancy are associated with birth weight and preterm birth in a U-shaped relationship with high rates of babies who are small at low and high concentrations of maternal hemoglobin” [<xref ref-type="bibr" rid="scirp.107375-ref15">15</xref>].</p><p>In contrast, some studies reported that anemia is an independent risk factor for the development of adverse outcome of pregnancy or LBW [<xref ref-type="bibr" rid="scirp.107375-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.107375-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.107375-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.107375-ref17">17</xref>].</p><p>Neonatal intensive care unit admission was more among anaemic mothers versus Non anaemic mothers ones, (24% versus 10%) It may be due to higher rates of LBW, RDS, and preterm delivery in this group. However, this finding supports by other studies [<xref ref-type="bibr" rid="scirp.107375-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.107375-ref7">7</xref>].</p><p>In the current study, anaemic mothers showed higher still birth and early neonatal death versus non anaemic mothers (12.5% stillbirth against 4.8% and 7.5% early neonatal death against 2.4% with P value 0.000). Most large studies worldwide have reported similar findings and concluded that, the association between maternal haemoglobin and neonatal outcomes has already been studied in the general population of neonates and seems to follow a U-shaped distribution with adverse outcomes at both ends of the haemoglobin range largely mediated through preterm birth and low birth weight [<xref ref-type="bibr" rid="scirp.107375-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.107375-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.107375-ref15">15</xref>].</p><p>The results of this study demonstrate that anemia among women during labour, is associated with increased risk for a wide range of adverse neonatal outcomes, including, LBW, preterm baby, RDS, SB, END and increase neonatal admission to the nursery. These findings are of particular interest to both the women themselves and healthcare professionals because of the rising trend to future counseling about the effectiveness of iron/folic acid supplementation. Because of the persistently high burden of disease, the World Health Organization has long recommended the prenatal use of iron supplements in low and middle income countries, and this is also recommended in many high income countries [<xref ref-type="bibr" rid="scirp.107375-ref9">9</xref>]. Affected babies should be following because of potential long-term consequences for child growth and development.</p><p>Anaemic women, compared with non-anaemic women, are considered to be more handicapped in all aspects (including nutritional, health, social, financial, etc). Thus, the present poorer fetal/neonatal outcomes in anaemic women cannot be ascribed solely to the presence of anaemia.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Maternal anaemia negatively affected fetal/neonatal outcomes. Low maternal haemoglobin was associated with increased poor birth outcomes including LBW, preterm birth, stillbirth, perinatal mortality, and neonatal mortality. This data may be useful to make health policy in this area.</p></sec><sec id="s6"><title>Acknowledgements</title><p>I acknowledge the cooperation of Omdurman Maternity and Khartoum North Hospitals-residents who participated in appointing the patients and following up. We also appreciate the commitment and compliance of the patients who reported the required data and attended for the regular follow up.</p></sec><sec id="s7"><title>Declaration</title><p>This article is our original work. The Submitted manuscripts contain original and authentic results, data and their ideas, which were not published elsewhere. No material from other publications is reproduced in our article. All my co-authors should not submit the same manuscript, in the same language simultaneously to more than one journal. The author of this paper has read and approved the final version submitted.</p></sec><sec id="s8"><title>Ethical Clearance</title><p>Ethics approval was obtained from the Research and Ethics Committee of the hospitals (Omdurman Maternity and Khartoum North Hospitals). Ethical clearance and approval for conducting this research were obtained from the general manager of the Ministry of health (Khartoum State). Ethical principles of autonomy, beneficence, non-maleficence and justice, as stipulated in the ethical guidelines of the Sudan Medical Specialization board (SMSB), Medical Research Council, were upheld throughout the study. Informed written consent was obtained from every respondent who agreed to participate in the study. The respondents were informed that the study is not associated with experimental or therapeutic intervention while information was collected from them.</p></sec><sec id="s9"><title>Funding</title><p>My research project was self-sponsored by me and helps of my colleagues and co-authors. There was no funding from any institute or organization for this paper.</p></sec><sec id="s10"><title>Authors’ Contribution</title><p>All my authors play a major role and real contribution to achieve this project. Nada and Nahla participated in data collection and analysis, Hassbo and Yasir participated in manuscript plan, editing and writing of the article.</p></sec><sec id="s11"><title>Competing Interest</title><p>The authors declare that they have no financial or personal relationships which may have inappropriately influenced them in writing this paper. No direct or indirect financial interests or conflicts exist and all authors agree with the content of the manuscript and there are no conflicts of interests between or among them.</p></sec><sec id="s12"><title>Cite this paper</title><p>Badi, N.E.A., Almoula, H.A., Idris, N.I.A., Hamadalnil, Y. and Handady, S.O.M. (2021) Relation Ship of Maternal Haemoglobin Concentration Measured in Labour with Neonatal Outcome among Sudanese Women. Open Journal of Obstetrics and Gynecology, 11, 131-139. https://doi.org/10.4236/ojog.2021.112015</p></sec><sec id="s13"><title>Abbreviation</title><p>BMI Body mass index</p><p>C/S Caesarean section</p><p>END Early Neonatal death</p><p>IVD Instrumental vaginal delivery</p><p>GA Gestational Age</p><p>Hb haemoglobin</p><p>LBW Low Birth weight</p><p>PG Primgravidae</p><p>RDS Respiratory Distress syndrome</p><p>SVD Spontaneous Vaginal delivery</p><p>SPSS Statistical package for social sciences</p><p>SB Still Birth</p><p>X<sup>2</sup> Chi-square test</p><p>WHO World Health Organization</p></sec></body><back><ref-list><title>References</title><ref id="scirp.107375-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Adam, I., Ibrahim, Y. and Elhardello, O. (2018) Prevalence, Types and Determinants of Anemia among Pregnant Women in Sudan: A Systematic Review and Meta-Analysis. BMC Hematology, 18, Article No. 31.  
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