Comparison of Minimally Invasive Tissue Sampling With Conventional Autopsy to Detect Pulmonary Pathology Among Respiratory Deaths in a Resource-Limited Setting.
Conventional autopsy
Minimally invasive tissue sampling technique
Pediatric mortality
Postmortem investigation
Pulmonary pathology
Resource limited
Respiratory illness death
TaqMan Array Card
Journal
American journal of clinical pathology
ISSN: 1943-7722
Titre abrégé: Am J Clin Pathol
Pays: England
ID NLM: 0370470
Informations de publication
Date de publication:
05 06 2019
05 06 2019
Historique:
pubmed:
23
4
2019
medline:
10
3
2020
entrez:
23
4
2019
Statut:
ppublish
Résumé
We compared minimally invasive tissue sampling (MITS) with conventional autopsy (CA) in detection of respiratory pathology/pathogens among Kenyan children younger than 5 years who were hospitalized with respiratory disease and died during hospitalization. Pulmonary MITS guided by anatomic landmarks was followed by CA. Lung tissues were triaged for histology and molecular testing using TaqMan Array Cards (TACs). MITS and CA results were compared for adequacy and concordance. Adequate pulmonary tissue was obtained by MITS from 54 (84%) of 64 respiratory deaths. Comparing MITS to CA, full histologic diagnostic concordance was present in 23 (36%) cases and partial concordance in 19 (30%), an overall 66% concordance rate. Pathogen detection using TACs had full concordance in 27 (42%) and partial concordance in 24 (38%) cases investigated, an overall 80% concordance rate. MITS is a viable alternative to CA in respiratory deaths in resource-limited settings, especially if combined with ancillary tests to optimize diagnostic accuracy.
Identifiants
pubmed: 31006817
pii: 5475735
doi: 10.1093/ajcp/aqz016
doi:
Types de publication
Comparative Study
Journal Article
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
36-49Informations de copyright
© American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.