Acute and Critical Care

Original Articles

Surgery
Biomarkers to predict mortality in patients with Fournier’s gangrene admitted to the intensive care unit after surgery in South Korea: In Sik Shin, Seong Chan Gong, Sanghyun An, Kwangmin Kim; Acute Crit Care. 2023;38(4):452-459. Published online November 21, 2023; DOI: https://doi.org/10.4266/acc.2023.00766

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Abstract PDF: Background
The use of biomarkers to predict patient outcomes may be crucial for patients admitted to the intensive care unit (ICU) following surgery because biomarkers guide clinicians in tailoring treatment plans accordingly. Therefore, we aimed to identify potential biomarkers to predict the prognosis of patients with Fournier’s gangrene (FG) admitted to the ICU after surgery.
Methods
We enrolled patients with FG admitted to our Hospital between January 2013 and December 2022. We retrospectively analyzed patient characteristics, factors related to management, scores known to be associated with the prognosis of FG, and laboratory data.
Results
The study population included 28 survivors and 13 nonsurvivors. The initial serum lactate level taken in the emergency department; white blood cell, neutrophil, and platelet counts; delta neutrophil index and international normalized ratio; albumin, glucose, HCO3, and postoperative lactate levels; and the laboratory risk indicator for necrotizing fasciitis differed between survivors and nonsurvivors. Postoperative lactate and initial albumin levels were independent predictors of mortality in patients with FG. In the receiver operating characteristic curve analysis, the postoperative lactate level was the best indicator of mortality (area under the curve, 0.877; 95% confidence interval, 0.711–1.000). The optimal cutoff postoperative lactate level for predicting mortality was 3.0 mmol/L (sensitivity, 80.0%; specificity, 95.0%).
Conclusions
Postoperative lactate and initial albumin levels could be potential predictors of mortality in patients with FG admitted to the ICU after surgery, and the optimal cutoff postoperative lactate and initial albumin levels to predict mortality were 3.0 mmol/L and 3.05 g/dl, respectively. Large-scale multicenter prospective studies are required to confirm our results.

Infection
Validation of presepsin measurement for mortality prediction of sepsis: a preliminary study: Seung Min Baik, Jin Park, Tae Yoon Kim, Se Hong Choi, Kyung Sook Hong; Acute Crit Care. 2022;37(4):527-532. Published online August 19, 2022; DOI: https://doi.org/10.4266/acc.2022.00150

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1 Web of Science
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Background
Sepsis and septic shock remain the leading causes of death in critically ill patients worldwide. Various biomarkers are available to determine the prognosis and therapeutic effects of sepsis. In this study, we investigated the effectiveness of presepsin as a sepsis biomarker. Methods: Patients admitted to the intensive care unit with major or minor diagnosis of sepsis were categorized into survival and non-survival groups. The white blood cell count and serum C-reactive protein, procalcitonin, and presepsin levels were measured in all patients. Results: The study included 40 patients (survival group, 32; non-survival group, 8; mortality rate, 20%). The maximum serum presepsin levels measured during intensive care unit admission were significantly higher in the non-survival group (median [interquartile range]: 4,205.5 pg/ml [1,155.8–10,094.0] vs. 741.5 pg/ml [520.0–1,317.5], P<0.05). No statistically significant intergroup differences were observed in the maximum, minimum, and mean values of the white blood cell count, as well as serum C-reactive protein, and procalcitonin levels. Based on the receiver operating characteristic curve, the area under the curve for presepsin as a predictor of sepsis mortality was 0.764. At a cut-off value of 1,898.5 pg/ml, the sensitivity and specificity of presepsin for prediction of sepsis-induced mortality were 75.0% and 87.5%, respectively. Conclusions: Early diagnosis of sepsis and prediction of sepsis-induced mortality are important for prompt initiation of treatment. Presepsin may serve as an effective biomarker for prediction of sepsis-induced mortality and for evaluation of treatment effectiveness.

Citations

Citations to this article as recorded by

The Potential Role of Presepsin in Predicting Severe Infection in Patients with Diabetic Foot Ulcers
Eun Yeong Ha, Il Rae Park, Seung Min Chung, Young Nam Roh, Chul Hyun Park, Tae-Gon Kim, Woong Kim, Jun Sung Moon
Journal of Clinical Medicine.2024; 13(8): 2311. CrossRef

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