Academic Journal
Postmortem investigations and identification of multiple causes of child deaths: An analysis of findings from the Child Health and Mortality Prevention Surveillance (CHAMPS) network.
| Title: | Postmortem investigations and identification of multiple causes of child deaths: An analysis of findings from the Child Health and Mortality Prevention Surveillance (CHAMPS) network. |
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| Authors: | Robert F Breiman, Dianna M Blau, Portia Mutevedzi, Victor Akelo, Inacio Mandomando, Ikechukwu U Ogbuanu, Samba O Sow, Lola Madrid, Shams El Arifeen, Mischka Garel, Nana Bukiwe Thwala, Dickens Onyango, Antonio Sitoe, Ima-Abasi Bassey, Adama Mamby Keita, Addisu Alemu, Muntasir Alam, Sana Mahtab, Dickson Gethi, Rosauro Varo, Julius Ojulong, Solomon Samura, Ashka Mehta, Alexander M Ibrahim, Afruna Rahman, Pio Vitorino, Vicky L Baillie, Janet Agaya, Milagritos D Tapia, Nega Assefa, Atique Iqbal Chowdhury, J Anthony G Scott, Emily S Gurley, Karen L Kotloff, Amara Jambai, Quique Bassat, Beth A Tippett-Barr, Shabir A Madhi, Cynthia G Whitney, CHAMPS Consortium |
| Source: | PLoS Medicine, Vol 18, Iss 9, p e1003814 (2021) |
| Publisher Information: | Public Library of Science (PLoS), 2021. |
| Publication Year: | 2021 |
| Collection: | LCC:Medicine |
| Subject Terms: | Medicine |
| More Details: | BackgroundThe current burden of >5 million deaths yearly is the focus of the Sustainable Development Goal (SDG) to end preventable deaths of newborns and children under 5 years old by 2030. To accelerate progression toward this goal, data are needed that accurately quantify the leading causes of death, so that interventions can target the common causes. By adding postmortem pathology and microbiology studies to other available data, the Child Health and Mortality Prevention Surveillance (CHAMPS) network provides comprehensive evaluations of conditions leading to death, in contrast to standard methods that rely on data from medical records and verbal autopsy and report only a single underlying condition. We analyzed CHAMPS data to characterize the value of considering multiple causes of death.Methods and findingsWe examined deaths identified from December 2016 through November 2020 from 7 CHAMPS sites (in Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa), including 741 neonatal, 278 infant, and 241 child ConclusionsIncluding conditions that appear anywhere in the causal chain, rather than considering underlying condition alone, markedly changed the proportion of deaths attributed to various diagnoses, especially LRI, sepsis, and meningitis. While CHAMPS methods cannot determine when 2 conditions cause death independently or may be synergistic, our findings suggest that considering the chain of events leading to death can better guide research and prevention priorities aimed at reducing child deaths. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1549-1277 1549-1676 |
| Relation: | https://doaj.org/toc/1549-1277; https://doaj.org/toc/1549-1676 |
| DOI: | 10.1371/journal.pmed.1003814 |
| Access URL: | https://doaj.org/article/ef564d1c67214749a85426496f56e460 |
| Accession Number: | edsdoj.f564d1c67214749a85426496f56e460 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 15491277 15491676 |
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| DOI: | 10.1371/journal.pmed.1003814 |
| Published in: | PLoS Medicine |
| Language: | English |