S'abonner

Neonatal and Infant Mortality Risk Associated with Preterm and Small for Gestational Age Births in Tanzania: Individual Level Pooled Analysis Using the Intergrowth Standard - 13/12/17

Doi : 10.1016/j.jpeds.2017.09.007 
Ayesha Sania, ScD 1, Emily R. Smith, ScD, MPH 2, 3, * , Karim Manji, MD, MPH 4, Christopher Duggan, MD, MPH 2, 3, 5, Honorati Masanja, PhD 6, Rodrick Kisenge, MD 4, Gernard Msamanga, MD 7, Willy Urassa, MD 8, Wafaie Fawzi, MBBS, MPH, DrPH 2, 5, 9
1 ICAP, Columbia University, Mailman School of Public Health, New York, NY 
2 Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 
3 Division of Gastroenterology, Hepatology, and Nutrition, Boston Children's Hospital, Boston, MA 
4 Department of Pediatrics, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania 
5 Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 
6 Ifakara Health Institute, Dar es Salaam, Tanzania 
7 Department of Community Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania 
8 Department of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania 
9 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 

*Reprint requests: Emily R. Smith, ScD, MPH, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, 1635 Tremont St, Room 109, Boston, MA 02120.Department of Global Health and PopulationHarvard T.H. Chan School of Public Health1635 Tremont St, Room 109BostonMA02120

Abstract

Objectives

To evaluate the risk of newborn and infant mortality associated with preterm, small for gestational age (SGA), and low birth weight (LBW) stratified by maternal HIV status and the location of birth.

Study design

We created a prospective cohort by pooling 5 individually randomized trials. We used Cox proportional hazard models to estimate the risk of mortality for SGA defined using the recently published Intergrowth standard, preterm, LBW, and gestational age and size for gestational age categories (preterm- appropriate for gestational age [AGA], term-SGA, and preterm-SGA). Effect modification by maternal HIV status and place of residence was assessed using the likelihood ratio test.

Results

Of the 31 988 infants, 15.3% were preterm, 16.6% were SGA, and 7.3% were LBW. The proportion of preterm and SGA births was higher among the HIV-infected cohort than in the uninfected cohort. Compared with term-AGA groups, infants born both preterm and SGA had a greater risk of neonatal mortality (hazard ratio [HR] 5.43, 95% CI 2.01-14.63) than preterm-AGA infants (HR 2.40, 95% CI 1.89-3.05) and term-SGA infants (HR 2.56, 95% CI 1.96-3.34). Maternal HIV infection modified the risk of infant mortality associated with being born preterm or LBW, with a higher relative risk among those born to HIV-uninfected women. Rural residence significantly modified the risk of neonatal mortality associated with being LBW (P for interaction = .005).

Conclusions

Preterm and SGA newborns had an increased risk of mortality during the first year of life. Interventions targeting these conditions, especially in HIV-exposed and rural populations, should be integrated into existing maternal and child health programs.

Le texte complet de cet article est disponible en PDF.

Keywords : low birth weight, gestational age, HIV, rural health, urban health

Abbreviations : AGA, ART, HR, LBW, SGA


Plan


 Supported by the National Institutes of Health (5T32AI007358-27 [to E.S.] and T32AI114398 [to A.S.]). The parent studies were supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD32257-05; R01 HD037701-03; NICHD R01 HD043688-01; K24HD058795) and by the Bill and Melinda Gates Foundation through the World Health Organization (Award Number 2011/133255-0). The authors declare no conflicts of interest.


© 2017  Elsevier Inc. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 192

P. 66 - janvier 2018 Retour au numéro
Article précédent Article précédent
  • A Time-Based Analysis of Inflammation in Infants at Risk of Bronchopulmonary Dysplasia
  • Sandrine Leroy, Elsa Caumette, Chandra Waddington, Audrey Hébert, Rollin Brant, Pascal M. Lavoie
| Article suivant Article suivant
  • Regional Variation in Neonatal Intensive Care Admissions and the Relationship to Bed Supply
  • Wade N. Harrison, Jared R. Wasserman, David C. Goodman

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.