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

AI Article Synopsis

  • The study investigated procalcitonin (PCT) as a biomarker for sepsis detection in critically ill patients by combining it with other relevant clinical factors.
  • A retrospective cohort study was conducted in an ICU, analyzing 258 patients to identify independent factors and create a PCT-based scoring system for detecting sepsis with better accuracy compared to PCT alone.
  • The developed scoring system demonstrated strong sepsis-detecting performance (AUROC 0.80) and was validated in an independent cohort, confirming its effectiveness in clinical settings.

Article Abstract

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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822524PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0245748PLOS

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