Morbidité et mortalité néonatale dans un hôpital de district urbain à ressources limitées à Douala, Cameroun

Koum, Danielle Kedy; Exhenry, C; Penda, Calixte Ida; Nzima, Nzima; Pfister, Riccardo

doi:10.1016/j.arcped.2013.11.014

Cited by 21 publications

(18 citation statements)

References 15 publications

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“…In this study, 6.1% of the babies were found in this grey area. LBW is a significant predictor for neonatal mortality [ 10 ]. Such misclassifications are likely contributors to the overall neonatal mortality.…”

Section: Discussionmentioning

confidence: 99%

Low birthweight in rural Cameroon: an analysis of a cut-off value

Agbor

Ditah

Tochie

et al. 2018

BMC Pregnancy Childbirth

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BackgroundLow birthweight (LBW) is a major predictor of early neonatal mortality which disproportionately affects low-income countries. WHO recommends regional definitions for LBW to prevent misclassifications and ensure appropriate care of babies with LBW. We conducted this study to define a clinical cut-off for LBW, and to determine the predictors and adverse foetal outcomes of LBW babies in a rural sub-division in Cameroon.MethodsWe conducted a retrospective register analysis of 1787 singleton deliveries in two health facilities in the Northwest Region of Cameroon. Records with no birthweight or birthweight less than 1000 g, babies born before arrival, multiple deliveries and deliveries before 28 weeks gestation were excluded from this study. The 10th percentile of birthweights was computed to obtain a statistical cut-off value for the LBW. To assess the clinical significance of the newly defined cut-off value, we compared the prevalence of adverse foetal outcomes between LBW (birthweight <10th percentile) and heavier babies (birthweight ≥10th percentile) in our study population.ResultsThe 10th percentile of the birthweights was 2700 g. Preterm delivery was the lone predictor of LBW (aOR = 2.0, 95% CI = 1.3–3.1; p = 0.001). LBW babies were more likely to be stillborn (OR = 9.6; 95% CI = 4.2–21.6; p < 0.001) or asphyxiated at the 5th minute (OR = 2.0; 95% CI = 1.2–3.3; p = 0.006), compared with heavier babies. Also, 6.1% of babies who had a birthweight between 2500 and 2700 g were more likely to be stillborn compared to heavier babies.ConclusionThis study suggests that the clinical cut-off for LBW in this rural community is 2700 g; with 6.1% of babies born with LBW probably receiving inadequate care as the traditional cut-off value of 2500 g proposed by WHO is still used to define LBW in our setting. Further studies are necessary to define a national cut-off value for harmonisation of LBW definitions in the country to prevent misclassifications and ensure appropriate neonatal care.

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Section: Discussionmentioning

confidence: 99%

Low birthweight in rural Cameroon: an analysis of a cut-off value

Agbor

Ditah

Tochie

et al. 2018

BMC Pregnancy Childbirth

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“…Out of the 130 million children who are born annually in the world 4 million die during the first 4 weeks of their life especially in countries with low resources [12] [13]. The biggest part of this mortality occurs in the first day of life, which is the case for our deaths [2].…”

Section: Discussionmentioning

confidence: 99%

“…However, neonatal mortality during the first 4 weeks of life is 14 times higher in the under-developed countries and UNICEF states that 4 million newborns die following a disease or other preventable causes. Moreover, these deaths represent 40 percent of the total of children mortality under 5 years old according to the UN organization [2].…”

Section: Introductionmentioning

confidence: 99%

Factors of Neonatal Morbidity at the Provincial Hospital Center of Missour

Doukkali¹,

Mechita²,

Lahlou³

et al. 2016

JBM

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Background: Although neonatal mortality decreases in different regions of the world, it is still a major problem in developing countries and particularly in Morocco. Purpose: The aims of this study are to examine the characteristics of pregnant women in the hospital center in the urban commune of Missour as well as the morphological data of the newborn and identify the risk factors implicated in neonatal morbidity. Materials and Methods: A retrospective study of collected data from records of women who gave birth in the Maternity of Missour during 2012. As well as a prospective study conducted at the maternity in 2013. Results: A total of 1108 women were included in this retrospective survey, of which 45% come from areas located far from the hospital center of the province and sometimes the access is tough in winter. Only 55.1% of pregnancy was followed. Among 1121 births, 49 babies (4.3%) showed a problematic birth situation: 31 (2.7%) newborns were hospitalized in pediatrics, of which 14 are premature. Neonatal mortality rate is 0.6% that is to say 7 early deaths. The risk factors associated to neonatal morbidity are gestational age and weight birth (in 50% of the cases, 85.7% of deaths are premature infants less than 1500 g). 14 (1.2%) were referred and 11 (0.9%) malformed were noticed. The prospective study states that among the 194 women analyzed, 89.7% are housewives. 89.1% have no medical coverage and 25.4% are illiterate. Only 29.2% benefit from a blood sample during pregnancy and 50% benefit from regular ultrasound follow-up. Conclusion: Mortality and neonatal morbidity constitute a public health priority in Morocco. Our work insists on the interest of an organized support of the newborn from the community to the different levels of the health pyramid. L. Doukkali et al.

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“…This was similar to what Lawoyin obtained in Nigeria in 2001 [ 13 ]. Kouam and Kamdom-Moyo in Yaounde showed that perinatal mortality decreased as the weight of the baby increased [ 14 ] while Kedy Koum et al in Douala reported LBW as the most common diagnosis associated with neonatal death [ 15 ].…”

Section: Discussionmentioning

confidence: 99%

Low birth weight in a sub-urban area of Cameroon: an analysis of the clinical cut-off, incidence, predictors and complications

Njim

Atashili

Mbu

et al. 2015

BMC Pregnancy Childbirth

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BackgroundThe World Health Organisation recommends that each country adopts its own cut-off value of low birth weight (LBW) for clinical use. The aims of this study were to establish a clinical cut-off point for LBW and to determine its incidence, predictors and complications in a sub-urban area’s hospital of Cameroon.MethodsWe conducted a study in two phases: a 6-year retrospective phase during which we collected demographic and clinical information from the records of the maternity of the Buea Regional Hospital (BRH) and a 3-month prospective phase during which data were collected from consenting pregnant women using a structured questionnaire, and newborns were examined and followed after birth.ResultsA total of 4941 records were reviewed during the retrospective phase and the 10th centile of birth weights was 2600 g. In the 200 pregnant women enrolled during the prospective phase, using this cut-off yielded an incidence of LBW of 19.0 %. Independent predictors of LBW were preterm delivery, hypertensive disorders in pregnancy, HIV infection, maternal age >36 years, maternal height <150 cm and pre-delivery BMI < 25 kg/m2. Neonates with LBW were more likely to have neonatal asphyxia, foetal distress, respiratory distress and neonatal death.ConclusionsOur results suggest that newborns under 2600 g have LBW in sub-urban Cameroon. They represent one out of every five babies, and they deserve close care. Preventive measures targeting the predictors described here are warranted to reduce the incidence and complications. Similar studies in urban areas are required in order to generalize the results.

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Morbidité et mortalité néonatale dans un hôpital de district urbain à ressources limitées à Douala, Cameroun

Cited by 21 publications

References 15 publications

Low birthweight in rural Cameroon: an analysis of a cut-off value

Low birthweight in rural Cameroon: an analysis of a cut-off value

Factors of Neonatal Morbidity at the Provincial Hospital Center of Missour

Low birth weight in a sub-urban area of Cameroon: an analysis of the clinical cut-off, incidence, predictors and complications

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