Mapping neonatal vulnerability using the Small Vulnerable Newborn (SVN) framework—secondary analysis of PRISMA Pakistan studyResearch in context
Summary: Background: Despite progress in global neonatal mortality, South Asia continues to lag behind in reducing neonatal deaths. The Small Vulnerable Newborn (SVN) framework has been proposed to integrate preterm birth (PT), small for gestational age (SGA), and low birth weight. However, there i...
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Elsevier
2025-02-01
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Series: | The Lancet Regional Health - Southeast Asia |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S277236822500006X |
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author | Hajra Malik Nida Yazdani Sameeta Kumari Sheikh Asad Jamal Muhammad Kashif Azqa Mazhar Zahra Hoodbhoy |
author_facet | Hajra Malik Nida Yazdani Sameeta Kumari Sheikh Asad Jamal Muhammad Kashif Azqa Mazhar Zahra Hoodbhoy |
author_sort | Hajra Malik |
collection | DOAJ |
description | Summary: Background: Despite progress in global neonatal mortality, South Asia continues to lag behind in reducing neonatal deaths. The Small Vulnerable Newborn (SVN) framework has been proposed to integrate preterm birth (PT), small for gestational age (SGA), and low birth weight. However, there is lack of data on the burden and risk factors of SVN in Pakistan, a country which has one of the highest neonatal deaths globally. This study aimed to estimate the incidence of SVN, and identify risk factors among pregnant women in Pakistan. Methods: This secondary analysis leverages data from PRISMA (Pregnancy Risk Infant Surveillance, and Measurement Alliance)—Pakistan. Women presenting ≤20 weeks gestation and, with birth weights recorded within 72 h post-delivery were analysed. Newborns were classified into categories of SVN. Multinomial and binomial regression models were used to examine associations between maternal characteristics and SVN categories, as well as neonatal mortality. Findings: The overall incidence of SVN was 46% (n = 771) with Term + SGA being the most common category (n = 461, 27.5%), followed by PT + AGA (n = 210, 12.5%) and PT + SGA (n = 41, 2.5%). Maternal undernutrition (MUAC <23 cm) increased the risk of SVN by 17% (aRR 1.17, 95% CI 1.05–1.31). SVN also emerged as a significant predictor of neonatal mortality, quadrupling the risk (aRR 4.52, 95% CI 2.42–8.46). Interpretation: This study adds to the growing body of evidence on Pakistan's alarming burden of SVN, with every second newborn at risk. Identification and targeted interventions are imperative to mitigate adverse birth outcomes and optimize child growth and development. Funding: No funding was received for this secondary data analysis. |
format | Article |
id | doaj-art-1260b5060a9f49dea9b2dad0ab083824 |
institution | Kabale University |
issn | 2772-3682 |
language | English |
publishDate | 2025-02-01 |
publisher | Elsevier |
record_format | Article |
series | The Lancet Regional Health - Southeast Asia |
spelling | doaj-art-1260b5060a9f49dea9b2dad0ab0838242025-02-11T04:35:39ZengElsevierThe Lancet Regional Health - Southeast Asia2772-36822025-02-0133100535Mapping neonatal vulnerability using the Small Vulnerable Newborn (SVN) framework—secondary analysis of PRISMA Pakistan studyResearch in contextHajra Malik0Nida Yazdani1Sameeta Kumari2Sheikh Asad Jamal3Muhammad Kashif4Azqa Mazhar5Zahra Hoodbhoy6Department of Pediatrics and Child Health, Aga Khan University Hospital, PakistanDepartment of Pediatrics and Child Health, Aga Khan University Hospital, PakistanDepartment of Pediatrics and Child Health, Aga Khan University Hospital, PakistanDepartment of Pediatrics and Child Health, Aga Khan University Hospital, PakistanDepartment of Pediatrics and Child Health, Aga Khan University Hospital, PakistanDepartment of Pediatrics and Child Health, Aga Khan University Hospital, PakistanCorresponding author.; Department of Pediatrics and Child Health, Aga Khan University Hospital, PakistanSummary: Background: Despite progress in global neonatal mortality, South Asia continues to lag behind in reducing neonatal deaths. The Small Vulnerable Newborn (SVN) framework has been proposed to integrate preterm birth (PT), small for gestational age (SGA), and low birth weight. However, there is lack of data on the burden and risk factors of SVN in Pakistan, a country which has one of the highest neonatal deaths globally. This study aimed to estimate the incidence of SVN, and identify risk factors among pregnant women in Pakistan. Methods: This secondary analysis leverages data from PRISMA (Pregnancy Risk Infant Surveillance, and Measurement Alliance)—Pakistan. Women presenting ≤20 weeks gestation and, with birth weights recorded within 72 h post-delivery were analysed. Newborns were classified into categories of SVN. Multinomial and binomial regression models were used to examine associations between maternal characteristics and SVN categories, as well as neonatal mortality. Findings: The overall incidence of SVN was 46% (n = 771) with Term + SGA being the most common category (n = 461, 27.5%), followed by PT + AGA (n = 210, 12.5%) and PT + SGA (n = 41, 2.5%). Maternal undernutrition (MUAC <23 cm) increased the risk of SVN by 17% (aRR 1.17, 95% CI 1.05–1.31). SVN also emerged as a significant predictor of neonatal mortality, quadrupling the risk (aRR 4.52, 95% CI 2.42–8.46). Interpretation: This study adds to the growing body of evidence on Pakistan's alarming burden of SVN, with every second newborn at risk. Identification and targeted interventions are imperative to mitigate adverse birth outcomes and optimize child growth and development. Funding: No funding was received for this secondary data analysis.http://www.sciencedirect.com/science/article/pii/S277236822500006XSmall Vulnerable NewbornsNeonatal mortalityPakistan |
spellingShingle | Hajra Malik Nida Yazdani Sameeta Kumari Sheikh Asad Jamal Muhammad Kashif Azqa Mazhar Zahra Hoodbhoy Mapping neonatal vulnerability using the Small Vulnerable Newborn (SVN) framework—secondary analysis of PRISMA Pakistan studyResearch in context The Lancet Regional Health - Southeast Asia Small Vulnerable Newborns Neonatal mortality Pakistan |
title | Mapping neonatal vulnerability using the Small Vulnerable Newborn (SVN) framework—secondary analysis of PRISMA Pakistan studyResearch in context |
title_full | Mapping neonatal vulnerability using the Small Vulnerable Newborn (SVN) framework—secondary analysis of PRISMA Pakistan studyResearch in context |
title_fullStr | Mapping neonatal vulnerability using the Small Vulnerable Newborn (SVN) framework—secondary analysis of PRISMA Pakistan studyResearch in context |
title_full_unstemmed | Mapping neonatal vulnerability using the Small Vulnerable Newborn (SVN) framework—secondary analysis of PRISMA Pakistan studyResearch in context |
title_short | Mapping neonatal vulnerability using the Small Vulnerable Newborn (SVN) framework—secondary analysis of PRISMA Pakistan studyResearch in context |
title_sort | mapping neonatal vulnerability using the small vulnerable newborn svn framework secondary analysis of prisma pakistan studyresearch in context |
topic | Small Vulnerable Newborns Neonatal mortality Pakistan |
url | http://www.sciencedirect.com/science/article/pii/S277236822500006X |
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