[Prognostic Value of Procalcitonin, C-reactive Protein and Leukocytes in Septic Shock]
Overview
Affiliations
Objectives: This study evaluates the potential prognostic value of serial measurements of different biomarkers (procalcitonin [PCT], C-reactive protein and leukocytes [CRP]) in septic shock patients.
Design: Prospective observational study.
Setting: Intensive care unit of a third-level University Hospital.
Patients: The study comprised a total of 88 septic shock patients defined using the 2001 Consensus Conference SCCM/ESICM/ACCP/ATS/SIS criteria. The PCT, CRP and leukocytes were recorded on admission to the ICU and again 72 hours after admission.
Interventions: None.
Results: Those patients with increasing procalcitonin levels showed higher hospital mortality than those with a decreasing levels (58.8% vs. 15.4%, P<0.01). No such effect was observed in relation to C-reactive protein or leukocytes. The best area under the curve for prognosis was for procalcitonin clearance (0.79). A procalcitonin clearance of 70% or higher offered a sensitivity and specificity of 94.7% and 53%, respectively.
Conclusions: Serial procalcitonin measurements are more predictive of the prognosis of septic shock patients than single measurements of this parameter. The prognostic reliability of the latter is also better than in the case of C-reactive protein and leukocytes. The application of serial procalcitonin measurements may allow the identification of those septic patients at increased mortality risk, and help improve their treatment.
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PMID: 39469363 PMC: 11513552. DOI: 10.7759/cureus.70358.
Acharya S, Mishra S, Ghosh A, Patro S Urol Ann. 2024; 16(2):169-174.
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C3AR1 is a regulatory factor associated with coagulation cascade and inflammation in sepsis.
Ren X, Fu Q Medicine (Baltimore). 2024; 103(11):e37519.
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Koozi H, Lidestam A, Lengquist M, Johnsson P, Frigyesi A J Intensive Care Soc. 2023; 24(4):372-378.
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Fu S, Yu W, Fu Q, Xu Z, Zhang S, Liang T BMC Surg. 2023; 23(1):274.
PMID: 37700315 PMC: 10498602. DOI: 10.1186/s12893-023-02165-6.