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Current Evidence and Limitation of Biomarkers for Detecting Sepsis and Systemic Infection.
Hung, Shang-Kai; Lan, Hao-Min; Han, Shih-Tsung; Wu, Chin-Chieh; Chen, Kuan-Fu.
Afiliação
  • Hung SK; Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou 333, Taiwan.
  • Lan HM; Department of Education, Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan.
  • Han ST; Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou 333, Taiwan.
  • Wu CC; Clinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan 333, Taiwan.
  • Chen KF; Department of Emergency Medicine, Chang Gung Memorial Hospital, Keelung 204, Taiwan.
Biomedicines ; 8(11)2020 Nov 12.
Article em En | MEDLINE | ID: mdl-33198109
ABSTRACT
Sepsis was recently redefined as a life-threatening disease involving organ dysfunction caused by a dysregulated host response to infection. Biomarkers play an important role in early detection, diagnosis, and prognostication. We reviewed six promising biomarkers for detecting sepsis and systemic infection, including C-reactive protein (CRP), procalcitonin (PCT), interleukin-6 (IL-6), CD64, presepsin, and sTREM-1. Among the recent studies, we found the following risks of bias only a few studies adopted the random or consecutive sampling strategy; extensive case-control analysis, which worsened the over-estimated performance; most of the studies used post hoc cutoff values; and heterogeneity with respect to the inclusion criteria, small sample sizes, and different quantitative synthesis methods applied in meta-analyses. We recommend that CD64 and presepsin should be considered as the most promising biomarkers for diagnosing sepsis. Future studies should enroll a larger sample size with a cohort rather than a case-control study design. A random or consecutive study design with a pre-specified laboratory threshold, consistent sampling timing, and an updated definition of sepsis will also increase the reliability of the studies. Further investigations of appropriate specimens, testing assays, and cutoff levels for specific biomarkers are also warranted.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article