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A novel procalcitonin-based score for detecting sepsis among critically ill patients

BACKGROUND: 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. METHODS: We conducted a retrospective cohort study in a re...

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Autores principales: Tsui, Tung-Lin, Huang, Ya-Ting, Kan, Wei-Chih, Huang, Mao-Sheng, Lai, Min-Yu, Ueng, Kwo-Chang, Shiao, Chih-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822524/
https://www.ncbi.nlm.nih.gov/pubmed/33481913
http://dx.doi.org/10.1371/journal.pone.0245748
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author Tsui, Tung-Lin
Huang, Ya-Ting
Kan, Wei-Chih
Huang, Mao-Sheng
Lai, Min-Yu
Ueng, Kwo-Chang
Shiao, Chih-Chung
author_facet Tsui, Tung-Lin
Huang, Ya-Ting
Kan, Wei-Chih
Huang, Mao-Sheng
Lai, Min-Yu
Ueng, Kwo-Chang
Shiao, Chih-Chung
author_sort Tsui, Tung-Lin
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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.
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spelling pubmed-78225242021-02-01 A novel procalcitonin-based score for detecting sepsis among critically ill patients Tsui, Tung-Lin Huang, Ya-Ting Kan, Wei-Chih Huang, Mao-Sheng Lai, Min-Yu Ueng, Kwo-Chang Shiao, Chih-Chung PLoS One Research Article BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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. Public Library of Science 2021-01-22 /pmc/articles/PMC7822524/ /pubmed/33481913 http://dx.doi.org/10.1371/journal.pone.0245748 Text en © 2021 Tsui et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tsui, Tung-Lin
Huang, Ya-Ting
Kan, Wei-Chih
Huang, Mao-Sheng
Lai, Min-Yu
Ueng, Kwo-Chang
Shiao, Chih-Chung
A novel procalcitonin-based score for detecting sepsis among critically ill patients
title A novel procalcitonin-based score for detecting sepsis among critically ill patients
title_full A novel procalcitonin-based score for detecting sepsis among critically ill patients
title_fullStr A novel procalcitonin-based score for detecting sepsis among critically ill patients
title_full_unstemmed A novel procalcitonin-based score for detecting sepsis among critically ill patients
title_short A novel procalcitonin-based score for detecting sepsis among critically ill patients
title_sort novel procalcitonin-based score for detecting sepsis among critically ill patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822524/
https://www.ncbi.nlm.nih.gov/pubmed/33481913
http://dx.doi.org/10.1371/journal.pone.0245748
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