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The contribution of minimally invasive tissue sampling compared to antemortem-derived cause of death determination among inpatient child deaths: the minimally invasive tissue sampling in Malawi study

  • Wieger P. Voskuijl*
  • , Dennis Chasweka
  • , Sarah Lawrence
  • , Daniella Brals
  • , Steve Kamiza
  • , Robert Bandsma
  • , James A. Berkley
  • , Emmie Mbale
  • , Charalampos Attipa
  • , Chisomo Eneya
  • , Cornelius Huwa
  • , Stanley Khoswe
  • , Christopher Moxon
  • , Isabel Potani
  • , Jessica L. Waller
  • , Maureen H. Diaz
  • , Judd Walson
  • , Jaume Ordi
  • , Donna M. Denno
  • *Corresponding author for this work
  • University of Amsterdam
  • Kamuzu University of Health Sciences
  • The Childhood Acute Illness and Nutrition (CHAIN) Network
  • University of Washington
  • University of Toronto
  • Wellcome Trust Research Laboratories Nairobi
  • University of Oxford
  • University of Edinburgh
  • University of Glasgow
  • Centers for Disease Control and Prevention
  • Johns Hopkins University
  • University of Barcelona

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Background Improved causes of death (CoD) understanding in low- and middle-income countries is needed to reduce child mortality. Compared to full autopsy, minimally invasive tissue sampling (MITS), using transcutaneous needle sampling, is a feasible, socially acceptable, and validated method. We aimed to quantify the additional contribution of MITS to CoD attribution based on clinical records and inpatient research data with intensive patient characterisation. Methods We enrolled children aged seven days to 59 months who died while on admission for acute illness and/or severe malnutrition to Queen Elizabeth Central Hospital in Blantyre, Malawi. Standard MITS procedures included histologic, immunohistochemical, and microbiologic testing. Phase 1 CoD determination was based on medical records alone, Phase 2 also included research data, and Phase 3 included all data, including from MITS. Results We enrolled 29 children. Based on clinical notes alone (Phase 1), we identified 60 causal and 39 contributing conditions. Of the 45 (45%) infectious conditions, pathogens were identified in 15 (33%). Only one patient’s (3%) CoD was unchanged compared to including all data (Phase 3). Further, we identified 69 new (n = 43) or adjusted (n = 26) diagnoses among 28 cases (97%); the majority were undernutrition-related (n = 22, 32%) or infectious (n = 41, 59%) conditions. Overall, the majority of final Phase 3 conditions were also undernutrition-related (n = 46, 32%) or infectious (n = 61, 43%) and a pathogen was identified in 54 (89%) of the infectious conditions. Klebsiella pneumoniae was the most prevalent aetiology in both pneumonia and sepsis. Conclusions The addition of MITS to clinical and inpatient research data led to almost all (97%) of cases receiving new and/or refined diagnoses, including microbe identification in infectious conditions. Pathogens not specifically addressed by current clinical guidelines, such as Klebisiella pneumoniae, were commonly identified. Our findings support the utility of MITS to understand CoD even after thorough clinical characterisation of children during hospitalisation.
Original languageEnglish
Article number04210
JournalJournal of global health
Volume15
DOIs
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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