Full Text:   <1832>

Summary:  <1522>

CLC number: R541; R459.7

On-line Access: 2020-07-07

Received: 2020-02-11

Revision Accepted: 2020-03-30

Crosschecked: 2020-06-05

Cited: 0

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Citations:  Bibtex RefMan EndNote GB/T7714


Zhao-cai Zhang


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Journal of Zhejiang University SCIENCE B 2020 Vol.21 No.7 P.537-548


Multi-biomarker strategy for prediction of myocardial dysfunction and mortality in sepsis

Author(s):  Fa-chao Chen, Yin-chuan Xu, Zhao-cai Zhang

Affiliation(s):  Department of Cardiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China; more

Corresponding email(s):   2314029@zju.edu.cn, 2313003@zju.edu.cn

Key Words:  Multi-biomarker, Myocardial dysfunction, Sepsis, Mortality

Fa-chao Chen, Yin-chuan Xu, Zhao-cai Zhang. Multi-biomarker strategy for prediction of myocardial dysfunction and mortality in sepsis[J]. Journal of Zhejiang University Science B, 2020, 21(7): 537-548.

@article{title="Multi-biomarker strategy for prediction of myocardial dysfunction and mortality in sepsis",
author="Fa-chao Chen, Yin-chuan Xu, Zhao-cai Zhang",
journal="Journal of Zhejiang University Science B",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Multi-biomarker strategy for prediction of myocardial dysfunction and mortality in sepsis
%A Fa-chao Chen
%A Yin-chuan Xu
%A Zhao-cai Zhang
%J Journal of Zhejiang University SCIENCE B
%V 21
%N 7
%P 537-548
%@ 1673-1581
%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B2000049

T1 - Multi-biomarker strategy for prediction of myocardial dysfunction and mortality in sepsis
A1 - Fa-chao Chen
A1 - Yin-chuan Xu
A1 - Zhao-cai Zhang
J0 - Journal of Zhejiang University Science B
VL - 21
IS - 7
SP - 537
EP - 548
%@ 1673-1581
Y1 - 2020
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B2000049

Objective: The present study was to evaluate the feasibility of using the multi-biomarker strategy for the prediction of sepsis-induced myocardial dysfunction (SIMD) and mortality in septic patients. Methods: Brain natriuretic peptide (BNP), cardiac troponin I (cTnI), and heart-type fatty acid-binding protein (h-FABP) in 147 septic patients were assayed within 6 h after admission. We also determined the plasma levels of myeloperoxidase (MPO) and pregnancy-associated plasma protein-A (PAPP-A). The receiver operating characteristic (ROC) curve was used to assess the best cutoff values of various single-biomarkers for the diagnosis of SIMD and the prediction of mortality. Also, the ROC curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) indices were used to evaluate the feasibility of using multi-biomarkers to predict SIMD and mortality. Results: Our statistics revealed that only h-FABP independently predicted SIMD (P<0.05). The addition of MPO and cTnI to h-FABP for SIMD prediction provided an NRI of 18.7% (P=0.025) and IDI of 3.3% (P=0.033). However, the addition of MPO or cTnI to h-FABP did not significantly improve the predictive ability of h-FABP to SIMD, as evidenced by the area under the curve (AUC), NRI, and IDI (all P>0.05). A history of shock and MPO were independent predictors of mortality in septic patients (both P<0.05). The addition of PAPP-A and h-FABP to MPO resulted in a mortality prediction with NRI of 25.5% (P=0.013) and IDI of 2.9% (P=0.045). However, this study revealed that the addition of h-FABP or PAPP-A to MPO did not significantly improve the ability to predict mortality, as evidenced by the AUC, NRI, and IDI (all P>0.05). Conclusions: The findings of this study indicate that a sensitive and specific strategy for early diagnosis of SIMD and mortality prediction in sepsis should incorporate three biomarkers.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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