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Combination of S100B and procalcitonin improves prognostic performance compared to either alone in patients with cardiac arrest: A prospective observational study

Authors
Jang, Jae HoPark, Won BinLim, Yong SuChoi, Jea YeonCho, Jin SeongWoo, Jae-HyugChoi, Woo SungYang, Hyuk JunHyun, Sung Youl
Issue Date
Feb-2019
Publisher
LIPPINCOTT WILLIAMS & WILKINS
Keywords
biomarkers; cardiac arrest; outcome; pro-calcitonin; S100b Protein
Citation
MEDICINE, v.98, no.6
Journal Title
MEDICINE
Volume
98
Number
6
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/1941
DOI
10.1097/MD.0000000000014496
ISSN
0025-7974
Abstract
This study aimed to determine whether the combination of procalcitonin (PCT) and S100B improves prognostic performance compared to either alone in cardiac arrest (CA) patients treated with targeted temperature management (TTM).We performed a prospective cohort study of CA patients treated with TTM. PCT and S100B levels were obtained at 0, 24, 48, and 72hours after return of spontaneous circulation. The prognostic performance was analyzed using each marker and the combination of the 2 markers for predicting poor neurological outcome at 3 months and mortality at 14 days and 3 months.A total of 97 patients were enrolled, of which 67 (69.1%) had poor neurological outcome. S100B showed a better prognostic performance (area under the curve [AUC], 0.934; sensitivity, 77.6%; and specificity, 100%) than PCT (AUC, 0.861; sensitivity, 70.2%; and specificity, 83.3%) with the highest prognostic value at 24hours. The combination of 24-hour PCT and S100B values (S100B 0.2g/L or PCT 6.6ng/mL) improved sensitivity (85.07%) compared with S100B alone. In multivariate analysis, PCT was associated with mortality at 14 days (odds ratio [OR]: 1.064, 95% confidence interval [CI]: 1.014-1.118), whereas S100B was associated with neurological outcomes at 3 months (OR: 9.849, 95% CI: 2.089-46.431).The combination of PCT and S100B improved prognostic performance compared to the use of either biomarker alone in CA patient treated with TTM. Further studies that will identify the optimal cutoff values for these biomarkers must be conducted.
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