Literature DB >> 35111890

Epidemiology of Preterm Birth Over a 5-Year Period in Yaoundé (Cameroon).

Jeannette Epee Ngoue1, Felix Essiben2, Suzanne Ngo Um Sap3, Esther Meka4, Annie Nga Motaze5, Patricia Ntsama5, Christiane Nsahlai5, Arsene Sandie6, Anne Esther Njom Nlend5,7.   

Abstract

Entities:  

Year:  2022        PMID: 35111890      PMCID: PMC8801715          DOI: 10.1177/2333794X221074319

Source DB:  PubMed          Journal:  Glob Pediatr Health        ISSN: 2333-794X


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Introduction

Preterm birth (PTB) defined as delivery prior 37 weeks gestational age, has emerged as a leading cause of neonatal and infant mortality and morbidity. The burden of PTB is particularly heavy in low resources settings of Sub Saharan Africa (SSA) countries where the achievement of millennium goals of development (reduce neonatal mortality to <12 per thousand) is still far. An estimated number of 15 million PTBs were recorded in 2015 for a global incidence of 11.1% live births. This incidence varies from 5% in Northern Europe to 18% in Sub Saharan Africa. The median reported rate in African stands around 12.3%, with a prevalence rate of PTB comprised between 10% and 14% most of countries.[2,3] Ethnic and geographic disparities of PTB rate are not only related to strength of a health care system, other factors can be included around the syndrome of preterm including infection, inflammation, genetics, hormonal factors, mechanic factors.[4,5] With the improvement of follow-up of pregnancy, 2 categories of PTB are described as concern pathogenicy with or without premature rupture of membranes, and or induced medically or not. Data of PTB are very scarced in Cameroon because due to lack of antenatal and birth registry, but also lack of accurate tools for definition. The World Health Organization (WHO) considers an ultrasound before 24 weeks as the gold standard for datation but this is not available nationwide. To fill this gap, we recorded PTBs in 3 tertiary care centers in Yaoundé, an urban area of the country where approximately 85% of delivery occurs in a health care center, with the aim at providing baseline data.

Methodology

We conducted a multicenter cross sectional descriptive study within 3 third level maternities of Yaoundé including the maternity ward of Hôpital Central de Yaoundé (HCY), Hôpital Gyneco-Obstétrique et Pédiatrique de Yaoundé (HGOPY), and Centre Hospitalier d’Essos (CHE). All premature births having occurred from January 2013 to December 2017, over a 5-year period were included from maternities registries. Preterm birth was considered for any births occurring between 22 week and 37 weeks of gestation. Main measurements were: rate of preterm birth reported to the total number of live births during the same period, type of prematurity, birth weight and delivery mode. All data were analyzed using software Microsoft Excel 2003.

Results

Data were recorded in 2 public (HCY and HGOPY) and 1 private facility CHE. HCY was the most populated one. Table 1 summarizes the key findings of this descriptive study. In total 38 151 deliveries were recorded over the period including 5640 preterm births giving a rate of 14.8% (5640/38 151) It should be noted a difference of rates of PTB between the CHE (private) and the 2 others facilities (public), P-value = .001, In addition, we found that the rates of very high preterm births was significantly high at HGOPY Overall the mean rate of preterm having a birth weight below 2000 g was (40.7%) and most of preterm births were classified as late with deliveries occurring after 34 weeks of pregnancy regardless of the health facility with a mean rate of 51.6% (2909/5640) of the total preterm births. In addition almost 1 delivery among 4 was occurring after C-section.
Table 1.

Distribution of Births, Type of Preterm Births, and Mode of Deliveries in 3 Maternities of Yaoundé from January 2013 to December 2017.

HCYCHEHGOPYTotalP-value (HCY vs CHE)P-value (CHE vs HGOPY)P-value (CHU vs HGOPY)Median rate
Number of deliveries16 303958212 26638 151
Preterm (N)23738642403564014.8%
%14.6%9.0%19.6%14.8%<.01<.01<.01
Less than 2000 g (N)11092059802294
%46.7%23.7%40.8%40.7%<.01<.01<.0137.1%
Weeks of gestation
>34 weeks128955210682909
%54.3%63.9%44.4%51.6%<.01<.01<.0154.2%
28-34 weeks9802728932145
%41.3%31.5%37.2%38.0%<.01<.01<.0136.6%
<28 weeks10440444588
%4.4%4.6%18.5%10.4%.84<.01<.019.2%
Mode of delivery
C-section4912466971434
%20.69%28.47%29.01%25.43%<.01.8<.0126.1%

Abbreviations: HCY, Hopital Central de Yaounde; CHE, Centre Hospitalier d’Essos; CHU, Centre Hospitalier Unviversitaire; HGOPY, Hopital Gynecoobtetrique et Pediatrique de Yaounde.

Distribution of Births, Type of Preterm Births, and Mode of Deliveries in 3 Maternities of Yaoundé from January 2013 to December 2017. Abbreviations: HCY, Hopital Central de Yaounde; CHE, Centre Hospitalier d’Essos; CHU, Centre Hospitalier Unviversitaire; HGOPY, Hopital Gynecoobtetrique et Pediatrique de Yaounde.

Discussion

The main element reported through this study is a rate of PTB which corroborates earlier data from low resources settings of SSA, being higher than median level of prematurity in high resources settings excluding USA. In fact, ethnicity and racial differences have been outlined elsewhere between black and white non Hispanic women that may be caused by many unknown factors including epigenetics and microbiome. In addition we want to outline the discrepancy between the private and public hospitals in this settings. We assume that this discrepancy is to put on the socioeconomic profiles being higher in mothers attending private services. The second point is related to the type of PTB, as described elsewhere, late PTB is quite preeminent in Yaounde; however our data in this study can have been be lowered by the 34 weeks threshold took into consideration against the 32 weeks, usually considered. Our 51.6% rate of late PTbs could help to plan appropriate planning of services delivery, knowing that late PTB is associated with increased rates of morbidity and mortality. Moreover, the rates of PTB below 2000 g is indicative of the requirement and the needs to settle KMC units inwards hospitals and may give guidance on the needs of screening retinopathy of prematurity. The surprising fact is the type of delivery; overall 25% of babies were born through Cesarean-section, Regardless of the indication of C section, in this sample, this rate maximizes the feature of proportion of induced PTB in our environment. In fact, compared to the western countries, this rate shows that are the majority of PTB are spontaneous, even though the rate of C section seems increasing. We acknowledge the limitation of this study as our data collection appears insufficient to provide insights on the type of PTB, spontaneous labor or preterm premature rupture of membranes including indication of induced prematurity.

Conclusion

In conclusion, the rate of prematurity in Yaoundé is 14.8%; consisting predominantly of late and spontaneous PTB. Further studies, are required for analysis of the profile of both spontaneous and induced PTB in this setting.
  10 in total

Review 1.  The worldwide incidence of preterm birth: a systematic review of maternal mortality and morbidity.

Authors:  Stacy Beck; Daniel Wojdyla; Lale Say; Ana Pilar Betran; Mario Merialdi; Jennifer Harris Requejo; Craig Rubens; Ramkumar Menon; Paul F A Van Look
Journal:  Bull World Health Organ       Date:  2009-09-25       Impact factor: 9.408

Review 2.  'Kangaroo mother care' to prevent neonatal deaths due to preterm birth complications.

Authors:  Joy E Lawn; Judith Mwansa-Kambafwile; Bernardo L Horta; Fernando C Barros; Simon Cousens
Journal:  Int J Epidemiol       Date:  2010-04       Impact factor: 7.196

Review 3.  [Epidemiology and risk factors of preterm birth].

Authors:  H Torchin; P-Y Ancel
Journal:  J Gynecol Obstet Biol Reprod (Paris)       Date:  2016-10-24

Review 4.  Epidemiology of preterm birth.

Authors:  Stephanie E Purisch; Cynthia Gyamfi-Bannerman
Journal:  Semin Perinatol       Date:  2017-09-01       Impact factor: 3.300

Review 5.  Maternal microbiome - A pathway to preterm birth.

Authors:  Angela E Vinturache; Cynthia Gyamfi-Bannerman; Joseph Hwang; Indira U Mysorekar; Bo Jacobsson
Journal:  Semin Fetal Neonatal Med       Date:  2016-02-28       Impact factor: 3.926

Review 6.  Born too soon: the global epidemiology of 15 million preterm births.

Authors:  Hannah Blencowe; Simon Cousens; Doris Chou; Mikkel Oestergaard; Lale Say; Ann-Beth Moller; Mary Kinney; Joy Lawn
Journal:  Reprod Health       Date:  2013-11-15       Impact factor: 3.223

7.  Cesarean sections in a secondary level care hospital of Cameroon: an analysis of their six-year trends and adverse neonatal outcomes.

Authors:  Tsi Njim; Simeon-Pierre Choukem; Robinson Mbu
Journal:  BMC Res Notes       Date:  2017-08-29

8.  Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis.

Authors:  Saifon Chawanpaiboon; Joshua P Vogel; Ann-Beth Moller; Pisake Lumbiganon; Max Petzold; Daniel Hogan; Sihem Landoulsi; Nampet Jampathong; Kiattisak Kongwattanakul; Malinee Laopaiboon; Cameron Lewis; Siwanon Rattanakanokchai; Ditza N Teng; Jadsada Thinkhamrop; Kanokwaroon Watananirun; Jun Zhang; Wei Zhou; A Metin Gülmezoglu
Journal:  Lancet Glob Health       Date:  2018-10-30       Impact factor: 26.763

9.  Relationship of socioeconomic status, psychosocial factors, and food insecurity with preterm labor: A longitudinal study.

Authors:  Mahrokh Dolatian; Nasibeh Sharifi; Zohreh Mahmoodi
Journal:  Int J Reprod Biomed       Date:  2018-09

Review 10.  Epidemiology and causes of preterm birth.

Authors:  Robert L Goldenberg; Jennifer F Culhane; Jay D Iams; Roberto Romero
Journal:  Lancet       Date:  2008-01-05       Impact factor: 79.321

  10 in total

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