Risk factors for mortality in an African pediatric emergency department: case of Sourô Sanou Hospital, a prospective, cross-sectional study.

BACKGROUND: Childhood mortality rates remain high in sub-Saharan Africa. This study aimed to assess the causes and associated factors of pediatric emergency mortality at the Sourô Sanou University Hospital of Bobo-Dioulasso. METHODOLOGY: This was a cross-sectional study with prospective collection from June to August 2020. We documented and analyzed demographic and clinical characteristics by means or proportions. Logistic regression was performed to identify the factors associated with childhood mortality. RESULTS: From 618 pediatric patients admitted to pediatric emergency unit, 80 (12.9%) were documented as death outcomes. The mean age was 34.10 ± 36.38 months. The male sex represented 51.25%. The main diagnoses were severe malaria (61.25%), acute gastroenteritis (11.25%) and pneumonia (10%); 48.75% of the patients were malnourished and only 55% were fully immunized. The average length of hospitalization was 2.73 ± 3.03 days. Mortality was a strongly significant association with late come to the emergency unit (AOR = 1.11, CI = 1.04-1.18), young maternal age (AOR = 0.95, CI = 0.92-0.99) and incomplete vaccination (AOR = 1.94, CI = 1.13-3.31). CONCLUSION: The in-hospital mortality rate was 12.94%; younger maternal age, delay in consultation, unimmunized or incompletely immunized status and shorter hospital stays were significantly associated with death.

Infant mortality rates remain high in sub-Saharan Africa jeopardizing the achievement of targets for the sustainable development goals. In this article, we identify the causes and factors associated with infant mortality at the Sourô Sanou University Hospital Pediatric Emergency Room in Bobo-Dioulasso. During the study period, the main diagnoses were severe malaria, acute gastroenteritis and pneumonia. Mortality was strongly associated with late arrival at the emergency room, young maternal age and incomplete vaccination. The in-hospital mortality rate was 12.94%, and younger maternal age, delay in consultation, unimmunized or incompletely immunized status and shorter hospital stays were significantly associated with death.

Prédicteurs de mortalité précoce en cours d'hospitalisation des enfants malnutris aigus sévères de 0-59 mois au CHU Sourou Sanou, Bobo-Dioulasso / Predictors of early mortality during hospitalization of severe acute malnourished children aged 0-59 months at CHU Sourô Sanou, Bobo-Dioulasso

Objectifs : étudier les facteurs de risque de mortalité des enfants malnutris aigus sévères (MAS) dans les 72 premières heures d'hospitalisation. Méthode : Nous avons mené une étude rétrospective sur des données d'enfants MAS de 0-59 mois, hospitalisés du 1er juin 2016 au 31 mai 2019 au CHUSourô Sanou (CHUSS) de Bobo-Dioulasso. Une régression logistiquea été réalisée pour déterminer les facteurs de risque de décès. Les variables avec un odds ratio (OR) >1, et p 3s [OR :3.55, 95%IC: 1.50-8.27], le sepsis [OR : 3.39, 95%IC: 1.33-8.50], étaient les facteurs de risque prédictifs de mortalité. Conclusion : Une formation et supervision continue du personnel soignant sur la prise en charge des urgences pédiatriques, l'utilisation du protocole OMS de prise en charge de la MAS, la disponibilité de kits d'urgence pourraient améliorer la prise en charge des MAS. Mots clés : Mortalité, précoce, MAS, BoboDioulasso

Objectives: to study risk factors for mortality in SAM children within the first 72 hours of hospitalization. Methods: We conducted a retrospective study on data from 0-59-month-old SAM children hospitalized from June 1th, 2016, to May 31th, 2019, at CHUSourô Sanou of Bobo-Dioulasso. A logistic regression was performed to determine risk factors for death. Variables with odds ratio (OR) > 1, and p 3seconds [OR :3.55, 95%IC: 1.50-8.27], sepsis[OR :3.39, 95%IC: 1.33-8.50]were the risk factors predictive of mortality. Conclusion: Training and ongoing supervision of healthcare staff in the management of paediatric emergencies, the use of the WHO SAM management protocol and the availability of emergency kits could improve SAM management