The Global Network Neonatal Cause of Death algorithm for low-resource settings

Ana L. Garces, Elizabeth M. Mcclure, Wilton Pérez, K. Michael Hambidge, Nancy F. Krebs, Lester Figueroa, Carl L. Bose, Waldemar A. Carlo, Constance Tenge, Fabian Esamai, Shivaprasad S. Goudar, Sarah Saleem, Archana B. Patel, Melody Chiwila, Elwyn Chomba, Antoinette Tshefu, Richard J. Derman, Patricia L. Hibberd, Sherri Bucher, Edward A. LiechtyMelissa Bauserman, Janet L. Moore, Marion Koso-Thomas, Menachem Miodovnik, Robert L. Goldenberg

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Aim: This study estimated the causes of neonatal death using an algorithm for low-resource areas, where 98% of the world's neonatal deaths occur. Methods: We enrolled women in India, Pakistan, Guatemala, the Democratic Republic of Congo, Kenya and Zambia from 2014 to 2016 and tracked their delivery and newborn outcomes for up to 28 days. Antenatal care and delivery symptoms were collected using a structured questionnaire, clinical observation and/or a physical examination. The Global Network Cause of Death algorithm was used to assign the cause of neonatal death, analysed by country and day of death. Results: One-third (33.1%) of the 3068 neonatal deaths were due to suspected infection, 30.8% to prematurity, 21.2% to asphyxia, 9.5% to congenital anomalies and 5.4% did not have a cause of death assigned. Prematurity and asphyxia-related deaths were more common on the first day of life (46.7% and 52.9%, respectively), while most deaths due to infection occurred after the first day of life (86.9%). The distribution of causes was similar to global data reported by other major studies. Conclusion: The Global Network algorithm provided a reliable cause of neonatal death in low-resource settings and can be used to inform public health strategies to reduce mortality.

Original languageEnglish (US)
JournalActa Paediatrica, International Journal of Paediatrics
DOIs
StateAccepted/In press - 2017

Fingerprint

Cause of Death
Asphyxia
Guatemala
Zambia
Democratic Republic of the Congo
Prenatal Care
Kenya
Pakistan
Infection
Physical Examination
India
Public Health
Observation
Perinatal Death
Newborn Infant
Mortality

Keywords

  • Global Network Cause of Death algorithm
  • Infection
  • Low- to middle-income countries
  • Neonatal mortality
  • Preterm birth

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health

Cite this

Garces, A. L., Mcclure, E. M., Pérez, W., Hambidge, K. M., Krebs, N. F., Figueroa, L., ... Goldenberg, R. L. (Accepted/In press). The Global Network Neonatal Cause of Death algorithm for low-resource settings. Acta Paediatrica, International Journal of Paediatrics. https://doi.org/10.1111/apa.13805

The Global Network Neonatal Cause of Death algorithm for low-resource settings. / Garces, Ana L.; Mcclure, Elizabeth M.; Pérez, Wilton; Hambidge, K. Michael; Krebs, Nancy F.; Figueroa, Lester; Bose, Carl L.; Carlo, Waldemar A.; Tenge, Constance; Esamai, Fabian; Goudar, Shivaprasad S.; Saleem, Sarah; Patel, Archana B.; Chiwila, Melody; Chomba, Elwyn; Tshefu, Antoinette; Derman, Richard J.; Hibberd, Patricia L.; Bucher, Sherri; Liechty, Edward A.; Bauserman, Melissa; Moore, Janet L.; Koso-Thomas, Marion; Miodovnik, Menachem; Goldenberg, Robert L.

In: Acta Paediatrica, International Journal of Paediatrics, 2017.

Research output: Contribution to journalArticle

Garces, AL, Mcclure, EM, Pérez, W, Hambidge, KM, Krebs, NF, Figueroa, L, Bose, CL, Carlo, WA, Tenge, C, Esamai, F, Goudar, SS, Saleem, S, Patel, AB, Chiwila, M, Chomba, E, Tshefu, A, Derman, RJ, Hibberd, PL, Bucher, S, Liechty, EA, Bauserman, M, Moore, JL, Koso-Thomas, M, Miodovnik, M & Goldenberg, RL 2017, 'The Global Network Neonatal Cause of Death algorithm for low-resource settings', Acta Paediatrica, International Journal of Paediatrics. https://doi.org/10.1111/apa.13805
Garces, Ana L. ; Mcclure, Elizabeth M. ; Pérez, Wilton ; Hambidge, K. Michael ; Krebs, Nancy F. ; Figueroa, Lester ; Bose, Carl L. ; Carlo, Waldemar A. ; Tenge, Constance ; Esamai, Fabian ; Goudar, Shivaprasad S. ; Saleem, Sarah ; Patel, Archana B. ; Chiwila, Melody ; Chomba, Elwyn ; Tshefu, Antoinette ; Derman, Richard J. ; Hibberd, Patricia L. ; Bucher, Sherri ; Liechty, Edward A. ; Bauserman, Melissa ; Moore, Janet L. ; Koso-Thomas, Marion ; Miodovnik, Menachem ; Goldenberg, Robert L. / The Global Network Neonatal Cause of Death algorithm for low-resource settings. In: Acta Paediatrica, International Journal of Paediatrics. 2017.
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AU - Hambidge, K. Michael

AU - Krebs, Nancy F.

AU - Figueroa, Lester

AU - Bose, Carl L.

AU - Carlo, Waldemar A.

AU - Tenge, Constance

AU - Esamai, Fabian

AU - Goudar, Shivaprasad S.

AU - Saleem, Sarah

AU - Patel, Archana B.

AU - Chiwila, Melody

AU - Chomba, Elwyn

AU - Tshefu, Antoinette

AU - Derman, Richard J.

AU - Hibberd, Patricia L.

AU - Bucher, Sherri

AU - Liechty, Edward A.

AU - Bauserman, Melissa

AU - Moore, Janet L.

AU - Koso-Thomas, Marion

AU - Miodovnik, Menachem

AU - Goldenberg, Robert L.

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N2 - Aim: This study estimated the causes of neonatal death using an algorithm for low-resource areas, where 98% of the world's neonatal deaths occur. Methods: We enrolled women in India, Pakistan, Guatemala, the Democratic Republic of Congo, Kenya and Zambia from 2014 to 2016 and tracked their delivery and newborn outcomes for up to 28 days. Antenatal care and delivery symptoms were collected using a structured questionnaire, clinical observation and/or a physical examination. The Global Network Cause of Death algorithm was used to assign the cause of neonatal death, analysed by country and day of death. Results: One-third (33.1%) of the 3068 neonatal deaths were due to suspected infection, 30.8% to prematurity, 21.2% to asphyxia, 9.5% to congenital anomalies and 5.4% did not have a cause of death assigned. Prematurity and asphyxia-related deaths were more common on the first day of life (46.7% and 52.9%, respectively), while most deaths due to infection occurred after the first day of life (86.9%). The distribution of causes was similar to global data reported by other major studies. Conclusion: The Global Network algorithm provided a reliable cause of neonatal death in low-resource settings and can be used to inform public health strategies to reduce mortality.

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KW - Neonatal mortality

KW - Preterm birth

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