Identifying neonates at risk for post-discharge mortality in Dar es Salaam, Tanzania, and Monrovia, Liberia: Derivation and internal validation of a novel risk assessment tool.

Neonatal intensive & critical care PAEDIATRICS Risk Factors

Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
15 Feb 2024
Historique:
medline: 17 2 2024
pubmed: 17 2 2024
entrez: 16 2 2024
Statut: epublish

Résumé

The immediate period after hospital discharge carries a large burden of childhood mortality in sub-Saharan Africa. Our objective was to derive and internally validate a risk assessment tool to identify neonates discharged from the neonatal ward at risk for 60-day post-discharge mortality. We conducted a prospective observational cohort study of neonates discharged from Muhimbili National Hospital in Dar es Salaam, Tanzania, and John F Kennedy Medical Centre in Monrovia, Liberia. Research staff called caregivers to ascertain vital status up to 60 days after discharge. We conducted multivariable logistic regression analyses with best subset selection to identify socioeconomic, demographic, clinical, and anthropometric factors associated with post-discharge mortality. We used adjusted log coefficients to assign points to each variable and internally validated our tool with bootstrap validation with 500 repetitions. There were 2344 neonates discharged and 2310 (98.5%) had post-discharge outcomes available. The median (IQR) age at discharge was 8 (4, 15) days; 1238 (53.6%) were male. In total, 71 (3.1%) died during follow-up (26.8% within 7 days of discharge). Leaving against medical advice (adjusted OR [aOR] 5.62, 95% CI 2.40 to 12.10) and diagnosis of meconium aspiration (aOR 6.98, 95% CI 1.69 to 21.70) conferred the greatest risk for post-discharge mortality. The risk assessment tool included nine variables (total possible score=63) and had an optimism corrected area under the receiver operating characteristic curve of 0.77 (95% CI 0.75 to 0.80). A score of ≥6 was most optimal (sensitivity 68.3% [95% CI 64.8% to 71.5%], specificity 72.1% [95% CI 71.5% to 72.7%]). A small number of factors predicted all-cause, 60-day mortality after discharge from neonatal wards in Tanzania and Liberia. After external validation, this risk assessment tool may facilitate clinical decision making for eligibility for discharge and the direction of resources to follow-up high risk neonates.

Identifiants

pubmed: 38365298
pii: bmjopen-2023-079389
doi: 10.1136/bmjopen-2023-079389
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e079389

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Auteurs

Chris A Rees (CA)

Division of Pediatric Emergency Medicine, Emory University School of Medicine, Atlanta, Georgia, USA chrisrees2@gmail.com.
Department of Emergency Medicine, Children's Healthcare of Atlanta, Atlanta, Georgia, USA.

Readon C Ideh (RC)

Department of Pediatrics, John F Kennedy Medical Center, Monrovia, Liberia.

Rodrick Kisenge (R)

Department of Pediatrics and Child Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.

Julia Kamara (J)

Department of Pediatrics, John F Kennedy Medical Center, Monrovia, Liberia.

Ye-Jeung G Coleman-Nekar (YG)

Department of Pediatrics, John F Kennedy Medical Center, Monrovia, Liberia.

Abraham Samma (A)

Department of Pediatrics and Child Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.

Evance Godfrey (E)

Department of Pediatrics and Child Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.

Hussein K Manji (HK)

Department of Emergency Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Dar es Salaam, United Republic of Tanzania.
Accident and Emergency Department, The Aga Khan Health Services, Dar es Salaam, Dar es Salaam, United Republic of Tanzania.

Christopher R Sudfeld (CR)

Departments of Nutrition and Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Boston, USA.

Adrianna L Westbrook (AL)

Pediatric Biostatistics Core, Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA.

Michelle Niescierenko (M)

Division of Emergency Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.
Department of Pediatrics and Emergency Medicine, Harvard Medical School, Boston, Massachusetts, USA.

Claudia R Morris (CR)

Division of Pediatric Emergency Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Department of Emergency Medicine, Children's Healthcare of Atlanta, Atlanta, Georgia, USA.

Cynthia G Whitney (CG)

Emory Global Health Institute, Emory University, Atlanta, Georgia, USA.

Robert F Breiman (RF)

Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Infectious Diseases and Oncology Research Institute, University of the Witwatersrand, Johannesburg, South Africa.

Christopher P Duggan (CP)

Departments of Nutrition and Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Boston, USA.
Center for Nutrition, Children's Hospital Boston, Boston, Massachusetts, USA.

Karim P Manji (KP)

Department of Pediatrics and Child Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.

Classifications MeSH