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  2. College of Medicine /醫學院
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  4. A novel procalcitonin-based score for detecting sepsis among critically ill patients
 
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A novel procalcitonin-based score for detecting sepsis among critically ill patients

Journal
PLOS ONE
Journal Volume
16
Journal Issue
1
Start Page
e0245748
ISSN
1932-6203
Date Issued
2021-01-22
Author(s)
Tung-Lin Tsui
Ya-Ting Huang
Wei-Chih Kan
Mao-Sheng Huang
Min-Yu Lai
Kwo-Chang Ueng  
Chih-Chung Shiao
Editor(s)
Yu Ru Kou
DOI
10.1371/journal.pone.0245748
URI
https://scholars.csmu.edu.tw/handle/123456789/4124
Abstract
<jats:sec id="sec001">
<jats:title>Background</jats:title>
<jats:p>Procalcitonin (PCT) has been widely investigated as an infection biomarker. The study aimed to prove that serum PCT, combining with other relevant variables, has an even better sepsis-detecting ability in critically ill patients.</jats:p>
</jats:sec>
<jats:sec id="sec002">
<jats:title>Methods</jats:title>
<jats:p>We conducted a retrospective cohort study in a regional teaching hospital enrolling eligible patients admitted to intensive care units (ICU) between July 1, 2016, and December 31, 2016, and followed them until March 31, 2017. The primary outcome measurement was the occurrence of sepsis. We used multivariate logistic regression analysis to determine the independent factors for sepsis and constructed a novel PCT-based score containing these factors. The area under the receiver operating characteristics curve (AUROC) was applied to evaluate sepsis-detecting abilities. Finally, we validated the score using a validation cohort.</jats:p>
</jats:sec>
<jats:sec id="sec003">
<jats:title>Results</jats:title>
<jats:p>A total of 258 critically ill patients (70.9±16.3 years; 55.4% man) were enrolled in the derivation cohort and further subgrouped into the sepsis group (n = 115) and the non-sepsis group (n = 143). By using the multivariate logistic regression analysis, we disclosed five independent factors for detecting sepsis, namely, “serum PCT level,” “albumin level” and “neutrophil-lymphocyte ratio” at ICU admission, along with “diabetes mellitus,” and “with vasopressor.” We subsequently constructed a PCT-based score containing the five weighted factors. The PCT-based score performed well in detecting sepsis with the cut-points of 8 points (AUROC 0.80; 95% confidence interval (CI) 0.74–0.85; sensitivity 0.70; specificity 0.76), which was better than PCT alone, C-reactive protein and infection probability score. The findings were confirmed using an independent validation cohort (n = 72, 69.2±16.7 years, 62.5% men) (cut-point: 8 points; AUROC, 0.79; 95% CI 0.69–0.90; sensitivity 0.64; specificity 0.87).</jats:p>
</jats:sec>
<jats:sec id="sec004">
<jats:title>Conclusions</jats:title>
<jats:p>We proposed a novel PCT-based score that performs better in detecting sepsis than serum PCT levels alone, C-reactive protein, and infection probability score.</jats:p>
</jats:sec>
SDGs

[SDGs]SDG3

Publisher
Public Library of Science (PLoS)
Type
journal-article
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