ArticleAnaesthesiology intensive therapy2023
Predictive role of selected biomarkers in differentiating gram-positive from gram-negative sepsis in surgical patients: a retrospective study.
Article in Anaesthesiology intensive therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 5 citations in OpenAlex.
- Testosterone and androgen receptor pathway modulation in sepsis: immunometabolic mechanisms and therapeutic implications - a scoping review.Frontiers in endocrinology · 2026Article
- Impact of Continuous Veno-Venous Hemodiafiltration on Thyroid Homeostasis in Critically Ill Patients.Journal of clinical medicine · 2025Article
- The impact of COVID-19 pandemic on nosocomial infections in the cardiac care unit of a non-epidemic hospital in China.Frontiers in medicine · 2025Article
- Usefulness of Procalcitonin Levels for Predicting the Microbiological Orientation in Patients with Sepsis.Journal of personalized medicine · 2024Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
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Abstract
introductionPatients after major surgery are at high risk of developing sepsis, which is accompanied by elevated serum levels of C-reactive protein (CRP) and procalcitonin (PCT). This study aimed to examine the differences in serum biomarker levels concerning the causative agent of sepsis in surgical patients. MATERIAL AND
methodsA retrospective study was carried out in the surgical intensive care unit (ICU) and included 81 septic patients admitted from January 2019 to May 2022, who had positive blood cultures (BC). Serum levels of PCT, CRP, white blood cells (WBC) and platelet counts were recorded on the day of the positive BC and over the following 3 days.
resultsPatients with gram(-) sepsis had significantly higher PCT levels, and lower platelet count compared to patients with gram(+) sepsis. High PCT and low platelets levels in all measurements were a significant predictor of gram(-) isolate with the highest predictive value on the third day after BC sampling, with AUROC 0.821 (95% CI: 0.692-0.950), P = 0.001, and AUROC 0.676 (95% CI: 0.541-0.811), P = 0.02, respectively. In multivariate logistic regression, platelets the day after BC sampling and PCT on the third day made a significant contribution in distinguishing gam(+) from gram(-) BC. Age and high serum CRP levels were significant predictors of poor outcomes.
conclusionsPCT and platelets may be useful biomarkers for predicting the causative agent of sepsis in surgical patients.
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