Investigating outlier rates of cardiac troponin I and troponin T assays: A systematic review.

Immunological assay Molecular biomarker Outlier Troponin

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
15 Jan 2024
Historique:
received: 03 07 2023
revised: 12 12 2023
accepted: 13 12 2023
medline: 11 1 2024
pubmed: 11 1 2024
entrez: 11 1 2024
Statut: epublish

Résumé

This review aimed to harmoniously summarize and compare outlier rates for various cardiac troponin (cTn) assays, including high-sensitivity-cTn (hs-cTn) assays and contemporary cTn (generation of assays prior to hs-cTn ones) assays, from the published studies. The PRISMA guidelines were utilized to perform this systematic review. Five databases, including PubMed, Scopus, Embase, Cochrane Library, and Web of Science, were searched using specific keywords up to June 30th, 2023. Studies reporting specifically calculated outlier rates for cTn assays when conducting in-vitro diagnosis in human samples were included. Selected studies were then further assessed using the GRADE tool. Thirteen studies were included. The data from the studies were summarized statistically in this review. The results showed substantial evidence of improved analytical robustness or reduced respective mean rates of outliers, critical outliers, and analytical outliers for hs-cTn assays (0.14 %, 0.18 %, and 0.18 %) compared to contemporary cTn assays (0.63 %, 0.71 %, and 0.50 %). The findings offer promisingly provide a comprehensive reference for laboratory scientists and clinical staff in choosing the most suitable cTn assay for patient care regrading outlier rates. Besides, this review reveals the advancements of hs-cTn assays with lower outlier rates than contemporary cTn assays. The emerging challenges for continuously improving analytical robustness of cTn assays are also elaborated.

Identifiants

pubmed: 38205298
doi: 10.1016/j.heliyon.2023.e23788
pii: S2405-8440(23)10996-0
pmc: PMC10776999
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

e23788

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Litao Zhang (L)

Clinical Laboratory, Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei 430000, China.

Jia Zhu (J)

School of Intelligent Manufacturing and Smart Transportation, Suzhou City University, Suzhou, Jiangsu 215000, China.
School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215000, China.

Shiqiang Zhang (S)

School of Intelligent Manufacturing and Smart Transportation, Suzhou City University, Suzhou, Jiangsu 215000, China.

Hao Fu (H)

Mindray Medical International Ltd., Shenzhen, Guangdong 518000, China.

Classifications MeSH