Neonatal mortality risk for vulnerable newborn types in 15 countries using 125.5 million nationwide birth outcome records, 2000–2020

Author:

Suárez‐Idueta Lorena1ORCID,Blencowe Hannah2ORCID,Okwaraji Yemisrach B2ORCID,Yargawa Judith2ORCID,Bradley Ellen2ORCID,Gordon Adrienne3ORCID,Flenady Vicki4ORCID,Paixao Enny S.25ORCID,Barreto Mauricio L.5ORCID,Lisonkova Sarka6ORCID,Wen Qi6,Velebil Petr7ORCID,Jírová Jitka8,Horváth‐Puhó Erzsebet9ORCID,Sørensen Henrik Toft9ORCID,Sakkeus Luule10ORCID,Abuladze Liili1011ORCID,Yunis Khalid A.12ORCID,Al Bizri Ayah12ORCID,Barranco Arturo13,Broeders Lisa14,van Dijk Aimée E.14,Alyafei Fawziya15ORCID,Olukade Tawa O.15ORCID,Razaz Neda16ORCID,Söderling Jonas16ORCID,Smith Lucy K.17ORCID,Draper Elizabeth S.17ORCID,Lowry Estelle18ORCID,Rowland Neil19ORCID,Wood Rachael2021,Monteath Kirsten22,Pereyra Isabel23ORCID,Pravia Gabriella23ORCID,Ohuma Eric O.2ORCID,Lawn Joy E.2ORCID,

Affiliation:

1. Mexican Society of Public Health Mexico City Mexico

2. Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre London School of Hygiene & Tropical Medicine London UK

3. Faculty of Medicine and Health University of Sydney Sydney New South Wales Australia

4. Centre of Research Excellence in Stillbirth, Mater Research Institute The University of Queensland Brisbane Queensland Australia

5. Centre for Data Integration and Knowledge for Health (CIDACS) Instituto Gonçalo Moniz, Fiocruz Bahia, Fundação Oswaldo Cruz Salvador Brazil

6. Department of Obstetrics & Gynaecology University of British Columbia Vancouver British Columbia Canada

7. Department of Obstetrics and Gynaecology Institute for the Care of Mother and Child Prague Czech Republic

8. Department of Data Analysis Institute of Health Information and Statistics of the Czech Republic Prague Czech Republic

9. Department of Clinical Epidemiology Aarhus University and Aarhus University Hospital Aarhus N Denmark

10. School of Governance, Law and Society, Estonian Institute for Population Studies Tallinn University Tallinn Estonia

11. Finnish Population Research Institute, Väestöliitto Helsinki Finland

12. Department of Paediatrics and Adolescent Medicine American University of Beirut Beirut Lebanon

13. Directorate of Health Information, Ministry of Health Mexico City Mexico

14. Perined Utrecht The Netherlands

15. Hamad Medical Corporation Doha Qatar

16. Clinical Epidemiology Division, Department of Medicine Solna Karolinska Institutet Stockholm Sweden

17. Department of Population Health Sciences, College of Life Sciences University of Leicester Leicester UK

18. School of Natural and Built Environment Queen's University Belfast Belfast UK

19. Queen's Management School Queen's University Belfast Belfast UK

20. Public Health Scotland Edinburgh UK

21. Usher Institute University of Edinburgh Edinburgh UK

22. Pregnancy, Birth and Child Health Team Public Health Scotland Edinburgh UK

23. Department of Wellness and Health Catholic University of Uruguay Montevideo Uruguay

Abstract

AbstractObjectiveTo compare neonatal mortality associated with six novel vulnerable newborn types in 125.5 million live births across 15 countries, 2000–2020.DesignPopulation‐based, multi‐country study.SettingNational data systems in 15 middle‐ and high‐income countries.MethodsWe used individual‐level data sets identified for the Vulnerable Newborn Measurement Collaboration. We examined the contribution to neonatal mortality of six newborn types combining gestational age (preterm [PT] versus term [T]) and size‐for‐gestational age (small [SGA], <10th centile, appropriate [AGA], 10th–90th centile or large [LGA], >90th centile) according to INTERGROWTH‐21st newborn standards. Newborn babies with PT or SGA were defined as small and T + LGA was considered as large. We calculated risk ratios (RRs) and population attributable risks (PAR%) for the six newborn types.Main outcome measuresMortality of six newborn types.ResultsOf 125.5 million live births analysed, risk ratios were highest among PT + SGA (median 67.2, interquartile range [IQR] 45.6–73.9), PT + AGA (median 34.3, IQR 23.9–37.5) and PT + LGA (median 28.3, IQR 18.4–32.3). At the population level, PT + AGA was the greatest contributor to newborn mortality (median PAR% 53.7, IQR 44.5–54.9). Mortality risk was highest among newborns born before 28 weeks (median RR 279.5, IQR 234.2–388.5) compared with babies born between 37 and 42 completed weeks or with a birthweight less than 1000 g (median RR 282.8, IQR 194.7–342.8) compared with those between 2500 g and 4000 g as a reference group.ConclusionPreterm newborn types were the most vulnerable, and associated with the highest mortality, particularly with co‐existence of preterm and SGA. As PT + AGA is more prevalent, it is responsible for the greatest burden of neonatal deaths at population level.

Funder

Children's Investment Fund Foundation

Publisher

Wiley

Subject

Obstetrics and Gynecology

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