Causes and obstetric factors associated with timing of neonatal deaths in Soweto, South Africa

Abstract Objective Describe characteristics of women whose decedents died during the neonatal period and explore factors associated with postnatal age at time of death. Methods Analysis of data collected at the Child Health and Mortality Prevention Surveillance (CHAMPS) South Africa study site. CHAM...

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Published in:Reproductive, Female and Child Health
Main Authors: Admire Chikandiwa, Sana Mahtab, Firdose L. Nakwa, Nadia Umuneza, Vicky Baillie, Ziyaad Dangor, Sithembiso Velaphi, Yasmin Adam, Amy Wise
Format: Article
Language:English
Published: Wiley 2024-09-01
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Online Access:https://doi.org/10.1002/rfc2.70000
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author Admire Chikandiwa
Sana Mahtab
Firdose L. Nakwa
Nadia Umuneza
Vicky Baillie
Ziyaad Dangor
Sithembiso Velaphi
Yasmin Adam
Amy Wise
author_facet Admire Chikandiwa
Sana Mahtab
Firdose L. Nakwa
Nadia Umuneza
Vicky Baillie
Ziyaad Dangor
Sithembiso Velaphi
Yasmin Adam
Amy Wise
author_sort Admire Chikandiwa
collection DOAJ
container_title Reproductive, Female and Child Health
description Abstract Objective Describe characteristics of women whose decedents died during the neonatal period and explore factors associated with postnatal age at time of death. Methods Analysis of data collected at the Child Health and Mortality Prevention Surveillance (CHAMPS) South Africa study site. CHAMPS generates cause of death data in children across nine sites in low‐ and middle‐income countries. Postnatal age at time of neonatal death was evaluated by Kaplan–Meier methods. Factors associated with time to neonatal death were evaluated using Cox proportional hazards regression models. Analyses were conducted in Stata 15.0®. p < 0.05 was considered statistically significant. Results There were 225 neonatal deaths during the study period, of which 197 (87.5%) had data for mother‐neonate pairs, with 184 (81.7%) neonates having complete data. The median (IQR) maternal age at booking was 27 (23–34) years. Majority (72.3%, 142/197) of women were unmarried, unemployed (76.0%, 149/197) and were booked (85.0%, 141/166). There were 19.5% of women who had hypertensive disorders of pregnancy (HDP, 36/184) while 2.7% (5/184) had diabetes mellitus and 31.5% (58/184) were HIV positive. Most were early neonatal deaths (ENND; 79.4%, 146/184) and remainder (20.6%, 38/184) late neonatal deaths (LNND). The main underlying causes of death were prematurity (60.3%, 111/184), intrapartum hypoxia (17.4%, 32/184), neonatal sepsis (10.3%, 19/184) and congenital anomalies (9.2%, 17/184). Intrapartum hypoxia (Adjusted Hazard Ratio [aHR] = 2.01, 95% CI: 1.23–3.27, p = 0.01), assisted‐vaginal delivery compared to normal vaginal delivery (aHR = 1.96, 95% CI: 1.03–3.71, p = 0.04), preterm delivery (aHR = 1.62, 95% CI: 1.03–2, p = 0.04), Apgar score <7 at 5 min (aHR = 1.59, 95% CI: 1.01–2.31, p = 0.02) and a previous neonatal death ([aHR] = 1.33; 95% CI: 1.10–1.89, p = 0.04) were associated with earlier time to neonatal death. Conclusion Intrapartum complications were associated with earlier time to neonatal death. Improving intrapartum care can reduce neonatal deaths.
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spelling doaj-art-e75cbeb01eb9443b87f5bbfae6b6ca8f2025-08-19T23:26:23ZengWileyReproductive, Female and Child Health2768-72282024-09-0133n/an/a10.1002/rfc2.70000Causes and obstetric factors associated with timing of neonatal deaths in Soweto, South AfricaAdmire Chikandiwa0Sana Mahtab1Firdose L. Nakwa2Nadia Umuneza3Vicky Baillie4Ziyaad Dangor5Sithembiso Velaphi6Yasmin Adam7Amy Wise8Department of Obstetrics and Gynaecology, School of Clinical Medicine University of the Witwatersrand Johannesburg South AfricaSouth African Medical Research Council Vaccines and Infectious Diseases analytics Research Unit, Faculty of Health Sciences University of the Witwatersrand Johannesburg South AfricaDepartment of Paediatrics and Child Health, Chris Hani Baragwanath Academic Hospital, School of Clinical Medicine, Faculty of Health Sciences University of the Witwatersrand Johannesburg South AfricaSouth African Medical Research Council Vaccines and Infectious Diseases analytics Research Unit, Faculty of Health Sciences University of the Witwatersrand Johannesburg South AfricaSouth African Medical Research Council Vaccines and Infectious Diseases analytics Research Unit, Faculty of Health Sciences University of the Witwatersrand Johannesburg South AfricaSouth African Medical Research Council Vaccines and Infectious Diseases analytics Research Unit, Faculty of Health Sciences University of the Witwatersrand Johannesburg South AfricaDepartment of Paediatrics and Child Health, Chris Hani Baragwanath Academic Hospital, School of Clinical Medicine, Faculty of Health Sciences University of the Witwatersrand Johannesburg South AfricaDepartment of Obstetrics and Gynaecology, School of Clinical Medicine University of the Witwatersrand Johannesburg South AfricaDepartment of Obstetrics and Gynaecology, School of Clinical Medicine University of the Witwatersrand Johannesburg South AfricaAbstract Objective Describe characteristics of women whose decedents died during the neonatal period and explore factors associated with postnatal age at time of death. Methods Analysis of data collected at the Child Health and Mortality Prevention Surveillance (CHAMPS) South Africa study site. CHAMPS generates cause of death data in children across nine sites in low‐ and middle‐income countries. Postnatal age at time of neonatal death was evaluated by Kaplan–Meier methods. Factors associated with time to neonatal death were evaluated using Cox proportional hazards regression models. Analyses were conducted in Stata 15.0®. p < 0.05 was considered statistically significant. Results There were 225 neonatal deaths during the study period, of which 197 (87.5%) had data for mother‐neonate pairs, with 184 (81.7%) neonates having complete data. The median (IQR) maternal age at booking was 27 (23–34) years. Majority (72.3%, 142/197) of women were unmarried, unemployed (76.0%, 149/197) and were booked (85.0%, 141/166). There were 19.5% of women who had hypertensive disorders of pregnancy (HDP, 36/184) while 2.7% (5/184) had diabetes mellitus and 31.5% (58/184) were HIV positive. Most were early neonatal deaths (ENND; 79.4%, 146/184) and remainder (20.6%, 38/184) late neonatal deaths (LNND). The main underlying causes of death were prematurity (60.3%, 111/184), intrapartum hypoxia (17.4%, 32/184), neonatal sepsis (10.3%, 19/184) and congenital anomalies (9.2%, 17/184). Intrapartum hypoxia (Adjusted Hazard Ratio [aHR] = 2.01, 95% CI: 1.23–3.27, p = 0.01), assisted‐vaginal delivery compared to normal vaginal delivery (aHR = 1.96, 95% CI: 1.03–3.71, p = 0.04), preterm delivery (aHR = 1.62, 95% CI: 1.03–2, p = 0.04), Apgar score <7 at 5 min (aHR = 1.59, 95% CI: 1.01–2.31, p = 0.02) and a previous neonatal death ([aHR] = 1.33; 95% CI: 1.10–1.89, p = 0.04) were associated with earlier time to neonatal death. Conclusion Intrapartum complications were associated with earlier time to neonatal death. Improving intrapartum care can reduce neonatal deaths.https://doi.org/10.1002/rfc2.70000causesneonatal deathobstetric risk factorsSouth Africa
spellingShingle Admire Chikandiwa
Sana Mahtab
Firdose L. Nakwa
Nadia Umuneza
Vicky Baillie
Ziyaad Dangor
Sithembiso Velaphi
Yasmin Adam
Amy Wise
Causes and obstetric factors associated with timing of neonatal deaths in Soweto, South Africa
causes
neonatal death
obstetric risk factors
South Africa
title Causes and obstetric factors associated with timing of neonatal deaths in Soweto, South Africa
title_full Causes and obstetric factors associated with timing of neonatal deaths in Soweto, South Africa
title_fullStr Causes and obstetric factors associated with timing of neonatal deaths in Soweto, South Africa
title_full_unstemmed Causes and obstetric factors associated with timing of neonatal deaths in Soweto, South Africa
title_short Causes and obstetric factors associated with timing of neonatal deaths in Soweto, South Africa
title_sort causes and obstetric factors associated with timing of neonatal deaths in soweto south africa
topic causes
neonatal death
obstetric risk factors
South Africa
url https://doi.org/10.1002/rfc2.70000
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