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Published on: July 1, 2021
Predictors of poor prognosis in patients with heat stroke
Jae-Kwon Chun1, Sangchun Choi1, Hyuk-Hoon Kim1
1Department of Emergency Medicine, Ajou University School of Medicine, Suwon, Korea.
Insights
Increased S100B protein levels predict poor prognosis in heat stroke patients. This biomarker can guide prompt and targeted therapies for heat stroke, improving patient outcomes.
Area of Science:
- Emergency Medicine
- Toxicology
- Biochemistry
Background:
- Heat stroke (HS) is a severe condition with unknown prognostic predictors.
- Early identification of patients at risk for poor outcomes is crucial for timely intervention.
Purpose of the Study:
- To identify independent predictors of poor prognosis in heat stroke patients.
- To evaluate the S100B protein level as a prognostic biomarker in heat stroke.
Main Methods:
- Retrospective analysis of health records from 36 heat stroke patients (2008-2017).
- Univariate and multivariate regression analyses were used to identify prognostic factors.
- Assessed S100B protein, troponin I, creatinine, ALT, and lactate levels.
Main Results:
- 27.8% of patients experienced poor prognosis.
- Elevated S100B protein, troponin I, creatinine, ALT, and lactate were significant in univariate analysis.
- Increased S100B protein level (OR 177.37) was an independent predictor of poor prognosis (P=0.016).
- S100B protein cut-off of 0.610 μg/L showed 86% sensitivity and 86% specificity.
Conclusions:
- Elevated S100B protein on admission is an independent prognostic factor for poor outcomes in heat stroke.
- S100B protein levels can serve as a target for prompt and specific therapeutic strategies.
Objective:
The predictors of poor prognosis in heat stroke (HS) remain unknown. This study investigated the predictive factors of poor prognosis in patients with HS.
Methods:
Data were obtained and analyzed from the health records of patients diagnosed with heat illness at Ajou university hospital between January 2008 and December 2017. Univariate and multivariate analyses were performed to identify the independent predictors of poor prognosis.
Results:
Thirty-six patients (median age, 54.5 years; 33 men) were included in the study. Poor prognosis was identified in 27.8% of the study population (10 patients). The levels of S100B protein, troponin I, creatinine, alanine aminotransferase, and serum lactate were statistically significant in the univariate analysis. Multiple regression analysis revealed that poor prognosis was significantly associated with an increased S100B protein level (odds ratio, 177.37; 95% confidence interval, 2.59 to 12,143.80; P=0.016). The S100B protein cut-off level for predicting poor prognosis was 0.610 μg/L (area under the curve, 0.906; 95% confidence interval, 0.00 to 1.00), with 86% sensitivity and 86% specificity.
Conclusion:
An increased S100B protein level on emergency department admission is an independent prognostic factor of poor prognosis in patients with HS. Elevation of the S100B protein level represents a potential target for specific and prompt therapies in these patients.
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