Evidence map›Paper›PMID 33481913›Full record

ArticlePloS one2021

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

Tung-Lin Tsui, Ya-Ting Huang, Wei-Chih Kan, Mao-Sheng Huang, Min-Yu Lai, Kwo-Chang Ueng, Chih-Chung Shiao

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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
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7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tung-Lin TsuiInstitute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Ya-Ting HuangDepartment of Nursing, Camillian Saint Mary's Hospital Luodong, Luodong, Yilan, Taiwan.
Wei-Chih KanDepartment of Nephrology, Department of Internal medicine, Chi-Mei Medical Center, Tainan, Taiwan.
Mao-Sheng HuangDepartment of laboratory medicine, Camillian Saint Mary's Hospital Luodong, Luodong, Yilan, Taiwan.
Min-Yu LaiDepartment of Nursing, Camillian Saint Mary's Hospital Luodong, Luodong, Yilan, Taiwan.
Kwo-Chang UengSchool of Medicine, Chung Shan Medical University, Taichung, Taichung, Taiwan.
Chih-Chung ShiaoSaint Mary's Junior College of Medicine, Nursing and Management, Yilan, Taiwan.ORCID 0000-0003-2220-7574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProcalcitonin (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.

methodsWe 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.

resultsA 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).

conclusionsWe proposed a novel PCT-based score that performs better in detecting sepsis than serum PCT levels alone, C-reactive protein, and infection probability score.

Indexed as

Critical IllnessAgedCohort StudiesFemaleHumansMaleProcalcitoninPrognosisRetrospective StudiesSepsisProcalcitonin

Identifiers

PMID33481913
PMCPMC7822524

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.