<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJOG</journal-id><journal-title-group><journal-title>Open Journal of Obstetrics and Gynecology</journal-title></journal-title-group><issn pub-type="epub">2160-8792</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojog.2020.10120158</article-id><article-id pub-id-type="publisher-id">OJOG-106246</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>
 
 
  Management of Obstetric Emergencies in a Tertiary Hospital in Cameroon: A Milestone for End of Preventable Maternal Deaths
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Robert</surname><given-names>Tchounzou</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>Theophile</surname><given-names>Nana Njamen</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>Alphonse</surname><given-names>Nyong Ngalame</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>Vanessa</surname><given-names>Baleba</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>Inna</surname><given-names>Rakya</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>Darolles</surname><given-names>Mwadjie Wekam</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>André</surname><given-names>Gaetan Simo Wambo</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>Humphry</surname><given-names>Neng Tatah</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>Diane</surname><given-names>Estelle Kamdem</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>Moustapha</surname><given-names>Bilkissou</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>Félix</surname><given-names>Adolphe Elong</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>Dominique</surname><given-names>Djomo Tamchom</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>Julie</surname><given-names>Ngo Batta</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>Emile</surname><given-names>T. Mboudou</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Douala Gynaeco-Obstetric and Paediatric Hospital, Douala, Cameroon</addr-line></aff><aff id="aff1"><addr-line>Faculty of Health Sciences, University Buea, Buea, Cameroon</addr-line></aff><aff id="aff4"><addr-line>Faculty of Medicine and Biomedical Sciences of Ngaoundere, Garoua, Cameroon</addr-line></aff><aff id="aff2"><addr-line>Douala General Hospital, Douala, Cameroon</addr-line></aff><aff id="aff6"><addr-line>Regional Hospital Buea, Buea, Cameroon</addr-line></aff><aff id="aff5"><addr-line>Regional Hospital Limbe, Limbe, Cameroon</addr-line></aff><aff id="aff7"><addr-line>Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon</addr-line></aff><pub-date pub-type="epub"><day>10</day><month>12</month><year>2020</year></pub-date><volume>10</volume><issue>12</issue><fpage>1749</fpage><lpage>1762</lpage><history><date date-type="received"><day>31,</day>	<month>October</month>	<year>2020</year></date><date date-type="rev-recd"><day>27,</day>	<month>December</month>	<year>2020</year>	</date><date date-type="accepted"><day>30,</day>	<month>December</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background:
  <b> </b>
  Maternal mortality was insufficiently reduced in Cameroon in 2015 despite the adoption of Millennium development goals. To tackle the situation and meet the sustainable Millennium goals target of 140/100,000 live births by 2030, the Government adopted the strategies of building reference hospitals where high quality obstetric care, timely and optimal management of obstetric emergencies will be offered.
   
  <b>The objective </b>
  of this study was to describe the patterns of obstetric emergencies in <b>Douala Gynaeco-obstetric</b><b> and Paediatric Hospital</b>, evaluate the outcomes of their management and the contribution to maternal mortality.
   
  <b>Patients and Methods:</b>
   418 patients with obstetric emergencies were included in a two
  -
  phase cross
  -
  sectional study. Data were retrieved from patients’ case notes during the retrospective phase and a questionnaire filled for each case received during the prospective phase. Patterns of obstetric emergencies were determined and for each, the following were analysed: patient managed in this hospital or referred from other hospital
  s
  , management according to hospital guidelines, timing of care, result of management (recovery with no admission in ICU (<b>intensive care unit</b>), admission in ICU, death). Factors associated
   with
   each case of death were analysed.
   
  <b>Results: </b>
  The patterns of obstetric emergencies (<b>OE</b>) were dominated by HDP
   
  (<b>hypertensive diseases in pregnancy</b>) (20.57%), abortions (14.83%), Ectopic pregnancies (13.87%), Acute foetal distress (13.15%) and Obstructed labour (9.56%). PPH
   
  (<b>post partum haemorrhage</b>) represented 7.65% and Sikcle cell crisis (SCA) 0.91%. 40% of cases were referred from other hospitals. Six cases of deaths were recorded with a global case fatality of 1.43%. The causes of death were PPH, HDP, and Sickle cell anaemia 33.33% each. The case fatality of SCA was 50%, disclosing our worst performance.
   
  <b>Conclusion:</b>
   Management of OE following standardized hospital guidelines, reinforcement of referral systems, upgrading obstetrical services with ICU will result in least adverse maternal outcomes and especially reduced maternal mortality.
 
</p></abstract><kwd-group><kwd>Obstetric Emergencies</kwd><kwd> Tertiary Hospital</kwd><kwd> Maternal Outcome</kwd><kwd> Maternal Death</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Reducing maternal mortality by the year 2015 was one of the most challenging millennium goals pledged by the United Nations’ members in 2000. The target was to reduce by 75% the high maternal mortality ratios of the 1990’s by the year 2015 [<xref ref-type="bibr" rid="scirp.106246-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref2">2</xref>]. There has been a period of escalation of maternal mortality in low and middle income countries (LMIC) and especially in sub-Saharan Africa where the majority of the world maternal death was recorded [<xref ref-type="bibr" rid="scirp.106246-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref5">5</xref>]. The evaluation of the achievement of the goal showed a global reduction of 44% worldwide but with a lot of disparities in the efforts of countries [<xref ref-type="bibr" rid="scirp.106246-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref7">7</xref>]. In a new publication of WHO, entitled Ending preventable maternal mortality (EPMM), new target at country level was established at a maternal mortality rate (MMR) not more than 140/100,000 live births [<xref ref-type="bibr" rid="scirp.106246-ref8">8</xref>]. In Cameroon MMR has almost doubled from 430/100,000 live births in 1998 to 782 in 2011 [<xref ref-type="bibr" rid="scirp.106246-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref9">9</xref>]. To respond to this situation, the Cameroon government has adopted amongst other strategies the one of constructing tertiary hospitals with high technology equipment, skilled health workers and other facilities with the missions of offering high quality obstetric care (state of the art obstetric care). These hospitals are expected to offer evidence based reproductive health care to women to minimise maternal deaths. Tebeu et al. in a study conducted in a tertiary hospital in Cameroon, in 2010, reported an MMR of 287.5%/100,000 live births as compared to 782 at National level [<xref ref-type="bibr" rid="scirp.106246-ref9">9</xref>]. Amongst the strategies proven efficient to reduce maternal and perinatal deaths are management of obstetric and neonatal emergencies, the antenatal care, skilled birth attendants, and good health care delivery system. Appropriate and timely management of obstetric emergencies in hospital (reducing the third delay) has been proven as an efficient strategy to reduce maternal and neonatal mortality by many authors [<xref ref-type="bibr" rid="scirp.106246-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref10">10</xref>]. In a study conducted in Nigeria, Lamina Mustafa et al. [<xref ref-type="bibr" rid="scirp.106246-ref11">11</xref>] found that obstetric emergencies constitute 18.5% of deliveries and represented 70.6% of causes of maternal death. Direct obstetric causes of MM in Cameroon include post partum haemorrhage (29.2%), unsafe abortions (25%), ectopic pregnancy (12.5%), hypertensive diseases in pregnancy (8.3%) and indirect causes include malaria (8.2%) and cardiac diseases in 4.2% [<xref ref-type="bibr" rid="scirp.106246-ref9">9</xref>]. Studies designed to determine the case fatality of individual causes of maternal and perinatal death are scarce in Cameroon. The objective of this study was to describe the patterns of obstetric emergencies in HGOPED, the outcome of management and the contribution of each of these to maternal death.</p></sec><sec id="s2"><title>2. Patients and Methods</title><sec id="s2_1"><title>2.1. Study Site</title><p>DGOPH is a tertiary Hospital created in 2013 and inaugurated in 2015, mainly dedicated to mother and child care. The three missions of this institution comprise of 1) providing high standard and quality care to targeted patients, 2) contributing to Medical training and 3) healthcare related research. The infrastructure and equipment are of high quality; human resources include 9 obstetrician and Gynaecologists, 5 Paediatricians, 3 intensive care workers, radiologists, surgeons, qualified midwives, nurses and many other categories of workers involved in management of emergencies. The laboratory service host one of the most functional blood bank units of the country where blood products like whole blood, frozen plasma, packed cells, platelets are always available.</p><p>In this study, an obstetrical emergency was any life-threatening medical condition during pregnancy, labour or post partum. The scope included direct obstetrical causes and acute complications of some indirect causes like malaria, cardiac diseases, and sickle cell anaemia.</p></sec><sec id="s2_2"><title>2.2. Work Organization and Management of Obstetrical Emergencies (OE) at DGOPH</title><p>The work organization in the department of Obstetrics and Gynaecology is divided into two shifts for medical physicians, residents in Obstetrics and Gynaecology: the daily routine activities and the call duties. Besides routine duties, the service is covered every day by a team comprised of the above mentioned workers’ categories, supervised by a consultant obstetrician and gynaecologist who work in close collaboration with the team of midwives, nurses and other paramedical staff. The hospital has elaborated guidelines for the standardized management of the most frequent OE and gynaecological emergencies. Thought not exhaustive, these guidelines are qualitatively and quantitatively updated on regular basis.</p></sec><sec id="s2_3"><title>2.3. Study Design</title><p>We carried out a two phases cross sectional study with the retrospective phase consisting of review of service delivery records of cases of obstetrical emergencies from August 2015 to December 2017. In the prospective phase same information was recorded to refine the analysis from January 2018 to December 2019.</p></sec><sec id="s2_4"><title>2.4. Inclusion Criteria</title><p>All cases of obstetrical emergencies received and managed during the period of study were included.</p></sec><sec id="s2_5"><title>2.5. Exclusion Criteria</title><p>Those with incomplete data in the files (retrospective phase) or who died less than two hours after admission in our maternity (prospective phase) were excluded. We also excluded all patients who refused to participate in the study.</p></sec><sec id="s2_6"><title>2.6. Variables Collected and Analyzed</title><p>We compiled the following information from patients’ files or directly from patients or relatives in the prospective phase and entered in a pre-tested data collection sheet: 1) Socio-demographic data such as age, level of education and profession; 2) obstetric information: parity, gestational age and 3) therapeutic information: patient managed in this hospital or referred, diagnosis or type of obstetric emergency, management according to hospital guidelines or no, obstetrician present at arrival or not, maternal outcome (successful with no admission in intensive care unit (ICU), admission in ICU, death, referred to other health facilities).</p><p>Case fatality was determined for each type of obstetric emergency and in case of death, factors involved were analysed (existence of protocol of management, timing of management, availability of carers, and availability of blood products) to evaluate the use of evidence-based and standard health care procedures.</p><p>Data analysis was done using SPSS version 23 software.</p></sec><sec id="s2_7"><title>2.7. Ethical Considerations</title><p>We obtained clearance from the hospital institutional review board and the General Manager granted administrative authorization.</p></sec></sec><sec id="s3"><title>3. Results</title><p>The results were similar for the retrospective and the prospective phases and are analysed conjointly.</p><sec id="s3_1"><title>3.1. Socio-Demographic Characteristics of Study Population</title><p>Out of the 2634 deliveries recorded during the study period, 418 (15.86%) presented as obstetrical emergencies. <xref ref-type="table" rid="table1">Table 1</xref> summarises the socio-demographic characteristics of the study population. The mean age of patients was 29.37 &#177; 5.76 years with extreme ages of 16 and 47 years. 284 (67.95%) of study population had university level of education and only 29 (6.94%) primary level. The majority of our participants had a revenue generating profession with 20.33% of them being civil servants, 20.33% self-employed and 21.29% workers of the private sector.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio-demographic distribution of patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="3"  >Frequency Percentage (%)</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Profession (n = 418)</td></tr><tr><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >12.45</td></tr><tr><td align="center" valign="middle" >Self employed</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >20.33</td></tr><tr><td align="center" valign="middle" >Civil servant</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >20.33</td></tr><tr><td align="center" valign="middle" >Private salary</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >21.29</td></tr><tr><td align="center" valign="middle" >Students</td><td align="center" valign="middle" >107</td><td align="center" valign="middle" >25.60</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Parity (n = 418)</td></tr><tr><td align="center" valign="middle" >0 - 1</td><td align="center" valign="middle" >206</td><td align="center" valign="middle" >49.28</td></tr><tr><td align="center" valign="middle" >2 - 3</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >25.83</td></tr><tr><td align="center" valign="middle" >4 - 5</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >16.26</td></tr><tr><td align="center" valign="middle" >&gt;5</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >8.62</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >418</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Level of education (n= 418)</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >6.94</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >105</td><td align="center" valign="middle" >25.11</td></tr><tr><td align="center" valign="middle" >University</td><td align="center" valign="middle" >284</td><td align="center" valign="middle" >67.95</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >418</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap></sec><sec id="s3_2"><title>3.2. Primary Site of Patients’ Management</title><p>Forty per cent of patients with obstetric emergencies (167) were referred from other health facilities while 251(60%) started management in the study site.</p><p><xref ref-type="table" rid="table2">Table 2</xref> highlights the patterns of obstetric emergencies recorded during the study period. Hypertensive diseases in pregnancy (HDP) mostly Preeclampsia/eclampsia (PEE) constituted the most frequently encountered 86/418 (20.57%) followed by ectopic pregnancy, 58 (13.87%).</p></sec><sec id="s3_3"><title>3.3. Maternal Outcome after Management</title><p>Out the 418 patients, 412 (98.56%) were managed successfully with only 19.61% admitted in ICU. Six (6) maternal deaths were recorded giving a case fatality of 6/418 (1.4%) of obstetric emergencies and an MMR of 228/100,000 live births. The causes of death are summarized on <xref ref-type="table" rid="table3">Table 3</xref>.</p><p>Of the 418 patients, 336 (80.38%) were managed without admission in ICU. It must be noted that some of the patients who needed intensive care were managed in the routine wards because of limited places and equipment in ICU.</p><p>Three diseases namely post partum haemorrhage (PPH), sickle cell anaemia (SCA), and preeclampsia/eclampsia (PEE) dominated the causes of maternal death with equal proportion of 2 (33.33%) each. The case fatality for PPH was 2/32 (6.25%), 2/4 (50%) for SCA and 2/86 (2.32%) for PEE.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Patterns of obstetric emergencies</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Obstetrical emergency</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Hypertensive diseases in pregnancy (HDP)</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >20.57</td></tr><tr><td align="center" valign="middle" >Post partum haemorrhage (PPH)</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >7.65</td></tr><tr><td align="center" valign="middle" >Placenta previa (PP)</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >3.82</td></tr><tr><td align="center" valign="middle" >Placenta abruption (AP)</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >3.11</td></tr><tr><td align="center" valign="middle" >Abortions (AB)</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >14.83</td></tr><tr><td align="center" valign="middle" >Ectopic pregnancy (EP)</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >13.87</td></tr><tr><td align="center" valign="middle" >Obstructed labour (OL)</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >9.56</td></tr><tr><td align="center" valign="middle" >Sickle cell disease crisis (SCA)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0.91</td></tr><tr><td align="center" valign="middle" >Acute foetal distress (AFD)</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >13.15</td></tr><tr><td align="center" valign="middle" >Other indirect causes (OIC)</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >12.44</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >418</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Therapeutic characteristics and maternal outcomes of OE</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >OE</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percent (%)</th><th align="center" valign="middle" >NICU</th><th align="center" valign="middle" >ICU</th><th align="center" valign="middle" >Ref</th><th align="center" valign="middle" >MIS</th><th align="center" valign="middle" >DEATH</th></tr></thead><tr><td align="center" valign="middle" >HDP</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >20.57</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >PPH</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >7.65</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >PP</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >3.82</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >AP</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >3.11</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >AB</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >14.83</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >EP</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >13.87</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >OL</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >9.56</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >SCA</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0.91</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >AFD</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >13.15</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >OIC</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >12.44</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >418</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >336</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >167</td><td align="center" valign="middle" >251</td><td align="center" valign="middle" >6</td></tr></tbody></table></table-wrap><p>Legend: NCIU: not admitted in intensive care unit; ICU: admitted in intensive care unit; Ref: referred from other facilities; MIS: started management in site.</p></sec><sec id="s3_4"><title>3.4. Management Processing Time</title><p>As shown in <xref ref-type="table" rid="table4">Table 4</xref>, the minimal processing time was 10 minutes and the maximum 1140. The shorted mean processing time was recorded for abortions and the longest for sickle cell anaemia.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Mean and median management processing time</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Obstetrical emerg</th><th align="center" valign="middle"  colspan="2"  >Processing time</th><th align="center" valign="middle"  rowspan="2"  >Mean time &#177; SD</th><th align="center" valign="middle"  rowspan="2"  >Median time N (%)</th></tr></thead><tr><td align="center" valign="middle" >Min</td><td align="center" valign="middle" >Max</td></tr><tr><td align="center" valign="middle" >Global management</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1140</td><td align="center" valign="middle" >65.46 &#177; 99.7</td><td align="center" valign="middle" >45 (35 - 60)</td></tr><tr><td align="center" valign="middle" >PPH</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >35.15 &#177; 42.5</td><td align="center" valign="middle" >20 (15 - 30)</td></tr><tr><td align="center" valign="middle" >EP</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >45.40 &#177; 28.74</td><td align="center" valign="middle" >40(37 - 45)</td></tr><tr><td align="center" valign="middle" >RPH</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >39.29 &#177; 6.26</td><td align="center" valign="middle" >41( 35 - 45)</td></tr><tr><td align="center" valign="middle" >PP</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >120</td><td align="center" valign="middle" >62 &#177; 31.90</td><td align="center" valign="middle" >51 (42.25 - 75)</td></tr><tr><td align="center" valign="middle" >HDP</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >61.53 &#177; 85.49</td><td align="center" valign="middle" >40 (25 - 62)</td></tr><tr><td align="center" valign="middle" >Abortions</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >130</td><td align="center" valign="middle" >32.65 &#177; 25</td><td align="center" valign="middle" >27.50 (23 - 63)</td></tr><tr><td align="center" valign="middle" >SCA</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >1140</td><td align="center" valign="middle" >105.29 &#177; 222.61</td><td align="center" valign="middle" >50 (45 - 60)</td></tr><tr><td align="center" valign="middle" >Labour dystocia</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >360</td><td align="center" valign="middle" >86.69 &#177; 83.15</td><td align="center" valign="middle" >50 (45 - 112.50)</td></tr><tr><td align="center" valign="middle" >Other indirect causes</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1140</td><td align="center" valign="middle" >104.29 &#177; 222</td><td align="center" valign="middle" >50 (45 - 60)</td></tr></tbody></table></table-wrap><p>Min: minimal; Max: maximal.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Our study has shown a global obstetric emergency rate of 418/2634 (15.86%) which is consistent with the figures of Mustapha Lamina et al. who found a rate of 18.5% in Nigeria [<xref ref-type="bibr" rid="scirp.106246-ref11">11</xref>]. We recorded 6 maternal deaths during the period under study, which represented an MMR of 228/100,000 live births slightly different from the figures found by Fomulu et al. in 2013 in a retrospective study in a reference hospital in Yaounde between 2002 and 2006 (365/100,000) and Tebeu et al. in 2015 in the Yaound&#233; Gynaeco-obstetric and Paediatric hospital (287.5/100,000) [<xref ref-type="bibr" rid="scirp.106246-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref9">9</xref>]. Our relative low rate may be explained by the smallest sample size. Like the previous authors who evaluated the MMR in the reference hospitals of the country between 2000 and 2015, this rate was lower than the national level which was 782/100,000 and other rates reported in some reference hospitals in sub-Saharan Africa [<xref ref-type="bibr" rid="scirp.106246-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref13">13</xref>]. Lower rates are recorded in Asian countries of the same levels of care, 141/100,000 live births in India (n = 104/73,935) [<xref ref-type="bibr" rid="scirp.106246-ref14">14</xref>]. All the cases of maternal death were due to obstetric emergencies with 66.66% (n = 4) due to direct causes and 33.33% (n = 2) to indirect causes. It is well established that obstetric emergencies constitute the major causes of maternal deaths in LMIC. <xref ref-type="table" rid="table5">Table 5</xref> summarises pictures of maternal deaths reported in some LMIC.</p><p>Patterns of obstetric emergencies were dominated by hypertensive diseases in pregnancy, EP, PPH and obstructed labour which is not different from what is described in other low or middle income settings [<xref ref-type="bibr" rid="scirp.106246-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref11">11</xref>].</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Picture of maternal reported by some authors in LMIC</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >MMR</th><th align="center" valign="middle" >GOE</th><th align="center" valign="middle" >Direct causes</th><th align="center" valign="middle" >Indirect causes</th></tr></thead><tr><td align="center" valign="middle" >Our results</td><td align="center" valign="middle" >228(n = 6)</td><td align="center" valign="middle" >418/2634</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Fomulu et al. (2002-2006) [<xref ref-type="bibr" rid="scirp.106246-ref3">3</xref>]</td><td align="center" valign="middle" >365 (n = 39/10662)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >89.7%</td><td align="center" valign="middle" >10.3%</td></tr><tr><td align="center" valign="middle" >Tebeu PM et al. (2006-2010) [<xref ref-type="bibr" rid="scirp.106246-ref9">9</xref>]</td><td align="center" valign="middle" >287.5(n=26/9045)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >75%</td><td align="center" valign="middle" >25%</td></tr><tr><td align="center" valign="middle" >Mustapha Lamina et al. (2005-2007) [<xref ref-type="bibr" rid="scirp.106246-ref11">11</xref>]</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >262/1420</td><td align="center" valign="middle" >70.6%</td><td align="center" valign="middle" >29.4%</td></tr><tr><td align="center" valign="middle" >Papa Dasri et al. (2008-2012) [<xref ref-type="bibr" rid="scirp.106246-ref14">14</xref>]</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >106/73,935</td><td align="center" valign="middle" >90%</td><td align="center" valign="middle" >10%</td></tr></tbody></table></table-wrap><p>Post partum haemorrhage (PPH) represented one of the most frequent causes of maternal death in our study (7.65%). Two out 32 patients who presented with PPH died, making a case fatality of 6.25%. Case fatality of PPH reported in LMIC varies widely (1.3% to 27.3%) with countries and levels of care and also when evidence-based interventions are implemented or not [<xref ref-type="bibr" rid="scirp.106246-ref15">15</xref>] - [<xref ref-type="bibr" rid="scirp.106246-ref20">20</xref>]. Ezugwu EC et al. reported that case fatality of PPH without evidence-based health intervention will be as high as 13.6% as compared to 2.5% when timely and standardized management is applied [<xref ref-type="bibr" rid="scirp.106246-ref16">16</xref>]. Determinants of death related to post partum haemorrhage include women’s characteristics, pre-delivery maternal anaemia, lack of blood products, unskilled birth attendants, inadequate or no antenatal care, transfer from other health facilities, delays in management in the hospital amongst others [<xref ref-type="bibr" rid="scirp.106246-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref20">20</xref>]. All the cases of maternal death recorded in our study were referred from other health facilities with critical conditions which warranted admission in intensive care unit. The role of poor referral system has been demonstrated by other authors in Cameroon like Belinga Etienne et al. [<xref ref-type="bibr" rid="scirp.106246-ref21">21</xref>] who quoted that 70% - 90% of maternal deaths are due to referred cases according to Perrin in Benin.</p><p>Hypertensive diseases in pregnancy (HDP) (mostly preeclampsia/eclampsia) constituted 33.33% of maternal deaths (MD). According to WHO, HDP is one of the four main causes of maternal death (WHO report 2019) and Lale Say et al. reporting a global maternal death causes according to WHO review found these to represent 11.6% to 21% causes of MD [<xref ref-type="bibr" rid="scirp.106246-ref10">10</xref>]. In studies conducted in tertiary hospitals in Cameroon, Tebeu and coll. And Fomulu et al. 8.3% and 15.4% respectively [<xref ref-type="bibr" rid="scirp.106246-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref9">9</xref>] while Dasari et al. in India reported HDP to represent 17% of causes of MD [<xref ref-type="bibr" rid="scirp.106246-ref14">14</xref>]. The case fatality of HDP was 2.32% which is similar to the outcome of few authors in sub-Saharan Africa like Edward T. Dassah et al. in Ghana (2.2%) and EC. Ezugwu in Nigeria (2.5%) [<xref ref-type="bibr" rid="scirp.106246-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref22">22</xref>] but in constrats was very low compared to 11% described by Rob Mooij et al. in Tanzania [<xref ref-type="bibr" rid="scirp.106246-ref23">23</xref>]. Mekoya D. Mengistu, TilatumRuma and coll. reported no death in a retrospective study enrolling 156 cases of HDP in Addis Ababa. We attribute our relative good performance to many factors including:</p><p>1) The existence of management protocols in the service to which almost all carers are strictly bound;</p><p>2) The availability of skilled workers (obstetricians, midwife, and reanimators) when needed;</p><p>3) The availability of drugs (antihypertensive drugs, magnesium sulphate);</p><p>4) The Presence of an ICU where critical cases needing special attention are admitted though with insufficient beds and resuscitation equipment. In fact, our protocol of management recommends, in accordance with the state of the art in developed countries that all cases of severe preeclampsia and eclampsia be admitted in ICU and hospitals with obstetric units should have an obstetric ICU [<xref ref-type="bibr" rid="scirp.106246-ref24">24</xref>] but we could not achieve this objective because of the aforementioned reasons. This is a shortcoming in the management of emergencies in general and HDP in particular.</p><p>5) Concerning the timing of management, the mean proceeding time was 61.53 &#177; 85.49 (see <xref ref-type="table" rid="table4">Table 4</xref>) with extremes of 15 minutes to 3 hours. American college of Obstetricians and Gynecologists (ACOG) recommends that expeditious management of confirmed severe HDP should be initiated within 30 - 60 minutes [<xref ref-type="bibr" rid="scirp.106246-ref25">25</xref>]. Our proceeding time did not always fall within this timeline and delays of up to 3 hours were observed due to several factors including frequent stoke outs of emergency drugs, lack of financial means (payment was made out of patients pockets!) and at time absence of one or many members of the multidisciplinary therapeutic team.</p><p>We admitted 4 cases of sickle cell anaemia (SCA) in pregnancy; all referred from other peripheral hospitals with acute onset complications. The reasons for referral included severe anaemia, pains crisis or the two complications combined. All the 4 cases were admitted in ICU during part or all the duration of their hospital stay. The 4 patients delivered through caesarean section and 2 (50%) died in the early post caesarean period in severe acute respiratory syndrome which we suspected to be due to acute thoracic syndrome. The case fatality of this obstetric emergency appears extremely high compared to what is reported in the literature that ranges from almost no maternal mortality in United Kingdom and USA [<xref ref-type="bibr" rid="scirp.106246-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.106246-ref27">27</xref>], 0.4% (total of 255 patients) in Saudi Arabia [<xref ref-type="bibr" rid="scirp.106246-ref28">28</xref>], 5.98 relative risk of death in a systemic review conducted by Eugene Oteng Ntim et al. in 2014 [<xref ref-type="bibr" rid="scirp.106246-ref29">29</xref>] to 11.4% in a study by Projestine S. Muganyizi et al. in Tanzania [<xref ref-type="bibr" rid="scirp.106246-ref30">30</xref>]. This high mortality can be explained by the reduced number of cases, the fact that patients were all referred in critical conditions but also can delineate the suboptimal performance of our ICU which is not specialized in such diseases.</p><p>The other diseases were successfully managed with some mild adverse maternal outcomes but no maternal death. Contrary to other studies carried in Cameroon and other sub-Saharan countries which displayed an important contribution of abortions (up to 25%) and sepsis, Ectopic pregnancy to maternal death, we recorded no death for these conditions. Although we attribute the relative good performance to the limited number of our sample size, the role of enough qualified staff, the relatively good plateau technique, the availability of management guidelines appear to be contributing factors.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Obstetric emergencies were high in the DGOPH, representing 15.4% of all live births. The management of these emergencies resulted in a relatively low rate of adverse maternal outcomes and only 6/418 deaths were recorded making a case fatality of 1.43%. Of the causes of maternal death, the case fatality of PPH and HDP was comparable to the high performance hospitals in LMIC. Determinants of this performance include the plateau technique, the quality of personnel, the existence of treatment guidelines and an ICU. These findings suggest that the strategy of building reference hospital where “state of the art obstetric care” can be implemented is an important milestone in the attainment of the sustainable millennium goals.</p></sec><sec id="s6"><title>Authors Contribution</title><p>Robert Tchounzou, Theophile Nana Njamen Vanessa Baleba, Alphonse Ngalame Nyong, Inna Rakya, Humphry Neng Tatah designed the study and wrote the protocol; Moustapha Bilkissou, Diane Estelle Kamdem, Julie Ngo Batta and Darolles Mwadjie Wekam participated in patients recruitment. Robert Tchounzou wrote the manuscript, Andr&#233; Gaetan Simo Wambo, Theophile Nana Njamen, Dominique Djomo Tamchom revised the manuscript. Emile TMboudou supervised the manuscript writing. All the authors approved the final version.</p></sec><sec id="s7"><title>Acknowledgements</title><p>We are immensely grateful to all the medical and technical staff of the Gynecology and Obstetrics Service, the emergency unit, the intensive care unit, the imaging and laboratory units, the theatre and the outpatient department of Gynecology and Obstetrics and to the general administration of the DGOPH for their contribution in patients’ management and in keeping the records. Special thanks go to Drs. Noura Benmoussa, Eyanga Olivia and Mrs. Chuo Yvette.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Tchounzou, R., Njamen, T.N., Ngalame, A.N., Baleba, V., Rakya, I., Wekam, D.M., Wambo, A.G.S., Tatah, H.N., Kamdem, D.E., Bilkissou, M., Elong, F.A., Tamchom, D.D., Batta, J.N. and Mboudou, E.T. (2020) Management of Obstetric Emergencies in a Tertiary Hospital in Cameroon: A Milestone for End of Preventable Maternal Deaths. Open Journal of Obstetrics and Gynecology, 10, 1749-1762. https://doi.org/10.4236/ojog.2020.10120158</p></sec><sec id="s10"><title>Appendix</title><p>Determinants of post operative infection following gynecological and obstetrical surgeries in the Douala Gynaeco-obstetric and Paediatric Hospital.</p>Data Collection Sheet<p>1) Identification</p><p>a) Name ID:__________________________ DATE: ____/_____/___________</p><p>b) Age (years): ________ c) Parity: _______ d) Residence: ________________</p><p>e) Level of education:</p><p>i) Primary ii) Secondary iii) University</p><p>2) Past history</p><p>a) Chronic disease:</p><p>i) Sickle cell anaemia ii) Diabetes iii) HTN (hypertension)</p><p>iv) Cancer v) other</p><p>b) Past surgery:</p><p>i) No ii) Yes Indication________________</p><p>c) Tobacco consumption: i) No ii) Yes</p><p>d) Chronic infection:</p><p>i) HIV ii) Tuberculosis iii) Hepatitis</p><p>3) Patient’s condition at the time of diagnosis of OE</p><p>a) Primary site of management:</p><p>i) DGOPH ii) other hospital</p><p>b) Timing of Management: time of arrival ________ time management started___________</p><p>c) Type of OE:</p><p>i) EP ii) HDP iii) PPH iv) AB</p><p>v) OL vi) SCA vii) PP viii) AP</p><p>ix) AFD, x) Malaria xi) HIV-AIDS</p><p>xii) Cardiac disease xiii) Other</p><p>d) Health carers present:</p><p>i) Emergency nurse ii) emergency physician iii) obstetrician</p><p>iv) Anaesthetist v) midwive vi) other</p><p>4) Management and maternal outcome</p><p>a) Patient management according to protocol: i) Yes ii) No</p><p>b) Patient needed ICU: i) Yes ii) No</p><p>c) Patient admitted in ICU: i) Yes ii) No</p><p>d) Duration of hospital stay___________</p><p>e) Treatment outcome:</p><p>i) Total recovery ii) referred to other hospital iii) death</p><p>5) Causes of death</p><p>a) NA</p><p>b) Late referral</p><p>c) Critical condition of patient</p><p>d) Inappropriate care</p>Liste of Abbreviations<p>AB: abortions</p><p>AFD: acute foetal distress</p><p>AP: abruption placentae</p><p>EP: ectopic pregnancy</p><p>HDP: hypertensive diseases in pregnancy</p><p>ICU: intensive care unit</p><p>MMR: maternal mortality rate</p><p>MIS: management in the site</p><p>PEE: preeclampsia/eclampsia</p><p>PP: placenta previa</p><p>PPH: post partum haemorrhage</p><p>OE: obstetric emergencies</p><p>OIC: other indirect causes</p><p>OL: obstructed labour</p><p>SCA: sickle cell anaemia</p></sec></body><back><ref-list><title>References</title><ref id="scirp.106246-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Oteng-Ntim, E., Meeks, D., Seed, P.T., Webster, L., Howard, J., Doyle, P., et al. 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