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
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

36-49

Informations de copyright

© American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Drucilla J Roberts (DJ)

Massachusetts General Hospital, Boston.

Henry N Njuguna (HN)

Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.

Barry Fields (B)

Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, GA.

Corinne L Fligner (CL)

University of Washington, Seattle.

Sherif R Zaki (SR)

Division of High-Consequence Pathogens and Pathology, Infectious Diseases Pathology Branch, Centers for Disease Control and Prevention, Atlanta, GA.

M Kelly Keating (MK)

Division of High-Consequence Pathogens and Pathology, Infectious Diseases Pathology Branch, Centers for Disease Control and Prevention, Atlanta, GA.

Emily Rogena (E)

University of Nairobi, Kenya.

Edwin Walong (E)

University of Nairobi, Kenya.

Andrew K Gachii (AK)

Kenyatta National Hospital, Nairobi, Kenya.

Elizabeth Maleche-Obimbo (E)

University of Nairobi, Kenya.

Grace Irimu (G)

University of Nairobi, Kenya.

John Mathaiya (J)

University of Nairobi, Kenya.

Noelle Orata (N)

University of Nairobi, Kenya.

Rosemarie Lopokoiyit (R)

University of Nairobi, Kenya.

Jackson Michuki (J)

University of Nairobi, Kenya.

Gideon O Emukule (GO)

Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.

Clayton O Onyango (CO)

Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.

Stella Gikunju (S)

Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.

Collins Owuor (C)

Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.

Peter K Muturi (PK)

IHRC, Nairobi, Kenya.

Milka Bunei (M)

IHRC, Nairobi, Kenya.

Marc-Alain Widdowson (MA)

Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.
Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, GA.

Joshua A Mott (JA)

Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA.

Sandra S Chaves (SS)

Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.
Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA.

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Classifications MeSH