Acute and Critical Care

Original Articles

Pulmonary
Increased red cell distribution width predicts mortality in COVID-19 patients admitted to a Dutch intensive care unit: Anthony D. Mompiere, Jos L.M.L. le Noble, Manon Fleuren-Janssen, Kelly Broen, Frits van Osch, Norbert Foudraine; Acute Crit Care. 2024;39(3):359-368. Published online August 22, 2024; DOI: https://doi.org/10.4266/acc.2023.01137

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Abstract PDF: Background
Abnormal red blood cell distribution width (RDW) is associated with poor cardiovascular, respiratory, and coronavirus disease 2019 (COVID-19) outcomes. However, whether RDW provides prognostic insights regarding COVID-19 patients admitted to the intensive care unit (ICU) was unknown. Here, we retrospectively investigated the association of RDW with 30-day and 90- day mortalities, duration of mechanical ventilation, and length of ICU and hospital stay in patients with COVID-19.
Methods
This study included 321 patients with COVID-19 aged >18 years who were admitted to the ICU between March 2020 and July 2022. The outcomes were mortality, duration of mechanical ventilation, and length of stay. RDW >14.5% was assessed in blood samples within 24 hours of admission.
Results
The mortality rate was 30.5%. Multivariable Cox regression analysis showed an association between increased RDW and 30-day mortality (hazard ratio [HR], 3.64; 95% CI, 1.54–8.65), 90-day mortality (HR, 3.66; 95% CI, 1.59–8.40), and shorter duration of invasive ventilation (2.7 ventilator-free days, P=0.033).
Conclusions
Increased RDW in COVID-19 patients at ICU admission was associated with increased 30-day and 90-day mortalities, and shorter duration of invasive ventilation. Thus, RDW can be used as a surrogate biomarker for clinical outcomes in COVID-19 patients admitted to the ICU.

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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1 Web of Science
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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.

Citations

Citations to this article as recorded by

Risk Factors for Mortality Among Patients With Fournier Gangrene: A Systematic Review
Pavan Shet, Ashmit Daiyan Mustafa, Karan Varshney, Lavina Rao, Sameen Sawdagar, Florence McLennan, Siraaj Ansari, Darshan Shet, Niveshan Sivathamboo, Sian Campbell
Surgical Infections.2024; 25(4): 261. CrossRef

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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4 Web of Science
3 Crossref

Abstract PDF

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
Combined estimation of presepsin and gelsolin might improve the diagnostic validity of clinical scoring to predict and stratify sepsis in non-sepsis surgical ICU patient
Hany A. Shehab, Ahmed M Eid, Yehya Shahin Dabour
Egyptian Journal of Anaesthesia.2024; 40(1): 262. CrossRef
Impact of nutrition‐related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol
Dong Jin Park, Seung Min Baik, Hanyoung Lee, Hoonsung Park, Jae‐Myeong Lee
Nutrition in Clinical Practice.2024;[Epub] CrossRef

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