Ying Guo1, Yongbin Wang2, Cheng'en Ma1, Rui Li3, Tao Li4. 1. Department of Intensive Care Unit, The Second Hospital of Shandong University, Jinan 250033, China. 2. Department of Respiratory Medicine, The Second Hospital of Shandong University, Jinan 250033, China. 3. Department of Emergency, The Second Hospital of Shandong University, Jinan 250033, China. 4. Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan 250033, China. Electronic address: 022303052@163.com.
Abstract
BACKGROUND: Heat-related illnesses pose significant threats to human health. OBJECTIVES: (1) To evaluate the use of qSOFA score for prognosis of heat-related hospitalized patients; and (2) identify other predictors for patient prognosis. METHODS: Using 28-day mortality as the primary endpoint, a retrospective, observational study of patients hospitalized between June 2013 and September 2018 was conducted. RESULTS: The qSOFA score from 84 patients was identified as an independent predictor of patient prognosis. The area under the receiver operating characteristic curves for qSOFA score was 0.702, and a sensitivity of 100.00% and a specificity of 47.06% were found for qSOFA score greater than or equal to 2. Other predictors included bilirubin, urea nitrogen, and troponin I levels. CONCLUSIONS: qSOFA score can be used as a parameter to distinguish patients with severe heat-related illness prior to further clinical analyses. In addition to that, multiple organ impairment should be considered when assessing patient prognosis.
BACKGROUND: Heat-related illnesses pose significant threats to human health. OBJECTIVES: (1) To evaluate the use of qSOFA score for prognosis of heat-related hospitalized patients; and (2) identify other predictors for patient prognosis. METHODS: Using 28-day mortality as the primary endpoint, a retrospective, observational study of patients hospitalized between June 2013 and September 2018 was conducted. RESULTS: The qSOFA score from 84 patients was identified as an independent predictor of patient prognosis. The area under the receiver operating characteristic curves for qSOFA score was 0.702, and a sensitivity of 100.00% and a specificity of 47.06% were found for qSOFA score greater than or equal to 2. Other predictors included bilirubin, ureanitrogen, and troponin I levels. CONCLUSIONS: qSOFA score can be used as a parameter to distinguish patients with severe heat-related illness prior to further clinical analyses. In addition to that, multiple organ impairment should be considered when assessing patient prognosis.