Analysis of clinical characteristics and risk factors for patients with heat stroke in western China in 2022: a multicenter retrospective study
ObjectivesTo analyzed the clinical characteristics and treatment modalities of heat stroke (HS) and to identify risk factors for a poor prognosis of HS and provide reference suggestions for its treatment and prevention.Measurements and main resultsWe enrolled a total of 247 patients, with hypertensi...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1467771/full |
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| author | Xin Zheng Yuchun Gao Qinli Xie Qiulan Chen Chuan Guo Qionglan Dong Jin Tang Jun Luo Ying Ge Jian He Xiaolin Hou Guanghong Zhou Yuan Chen Haiquan Cao Jiujia Xiao An Lan Qiu Chen Yonghong Zeng Jing Huang Huaicong Long |
| author_facet | Xin Zheng Yuchun Gao Qinli Xie Qiulan Chen Chuan Guo Qionglan Dong Jin Tang Jun Luo Ying Ge Jian He Xiaolin Hou Guanghong Zhou Yuan Chen Haiquan Cao Jiujia Xiao An Lan Qiu Chen Yonghong Zeng Jing Huang Huaicong Long |
| author_sort | Xin Zheng |
| collection | DOAJ |
| description | ObjectivesTo analyzed the clinical characteristics and treatment modalities of heat stroke (HS) and to identify risk factors for a poor prognosis of HS and provide reference suggestions for its treatment and prevention.Measurements and main resultsWe enrolled a total of 247 patients, with hypertension, diabetes, and psychosis being the top three comorbidities associated with HS. The incidence of HS was higher among males and older individuals. Compared to the control group, the poor prognosis group experienced higher temperatures, a higher incidence of cerebral edema, and gastrointestinal bleeding (all p < 0.05). The poor prognosis group had significantly higher blood pH, HCO3-, Lac, Scr, AST, ALT, DBIL, CKMB, PT, DD, and PLT (all p < 0.05). Furthermore, logistic regression analysis revealed that Lac, Scr, and APACHE II were risk factors for poor prognosis (p < 0.05). The AUC values for the combined diagnostic model were 0.848 (95% CI: 0.781–0.914). Male morbidity, the number of patients with combined hypertension, the prognosis, and the APACHE II score and ALT level were all greater (p < 0.05) in the CHS group. The Kaplan–Meier analysis revealed that the CHS group had a significantly higher mortality rate than the EHS group.ConclusionA high incidence of hypertension, diabetes, psychosis, men, and older persons may be associated with HS. HS patients with high blood cell counts, impaired coagulation, liver and kidney diseases, and those with a specific type of CHS may face a poor prognosis. In patients with heart failure, APACHE II, Lac, and Scr were independent risk factors for a poor prognosis. |
| format | Article |
| id | doaj-art-f6b05671e0f44763a9907b5423ad6967 |
| institution | Kabale University |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-f6b05671e0f44763a9907b5423ad69672025-01-22T07:15:40ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-01-011210.3389/fmed.2025.14677711467771Analysis of clinical characteristics and risk factors for patients with heat stroke in western China in 2022: a multicenter retrospective studyXin Zheng0Yuchun Gao1Qinli Xie2Qiulan Chen3Chuan Guo4Qionglan Dong5Jin Tang6Jun Luo7Ying Ge8Jian He9Xiaolin Hou10Guanghong Zhou11Yuan Chen12Haiquan Cao13Jiujia Xiao14An Lan15Qiu Chen16Yonghong Zeng17Jing Huang18Huaicong Long19Department of Geriatric Intensive Care Unit, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, ChinaDepartment of Geriatric Intensive Care Unit, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, ChinaDepartment of Physical Examination Center, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing, ChinaDepartment of Critical Care Medicine, Nanchong Hospital of Beijing Anzhen Hospital, Capital Medical University, Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong, ChinaDepartment of Critical Care Medicine, The First Affiliated Hospital of Chengdu Medical College, Chengdu, ChinaDepartment of Critical Care Medicine, The Third Hospital of Mianyang, Mianyang, ChinaDepartment of Critical Care Medicine, Clinical Medical College, Affiliated Hospital of Chengdu University, Chengdu, ChinaDepartment of Critical Care Medicine, Xuanhan County People's Hospital, Dazhou, ChinaDepartment of Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaDepartment of Pulmonary and Critical Care Medicine, Chongqing General Hospital, Chongqing, China0Emergency Medical Department, The First People’s Hospital of Zigong, Zigong, China1Department of Respiratory and Critical Care Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, ChinaDepartment of Physical Examination Center, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing, ChinaDepartment of Critical Care Medicine, Nanchong Hospital of Beijing Anzhen Hospital, Capital Medical University, Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong, ChinaDepartment of Critical Care Medicine, The First Affiliated Hospital of Chengdu Medical College, Chengdu, ChinaDepartment of Critical Care Medicine, The Third Hospital of Mianyang, Mianyang, ChinaDepartment of Critical Care Medicine, Xuanhan County People's Hospital, Dazhou, China0Emergency Medical Department, The First People’s Hospital of Zigong, Zigong, ChinaDepartment of Pulmonary and Critical Care Medicine, Chongqing General Hospital, Chongqing, ChinaDepartment of Geriatric Intensive Care Unit, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, ChinaObjectivesTo analyzed the clinical characteristics and treatment modalities of heat stroke (HS) and to identify risk factors for a poor prognosis of HS and provide reference suggestions for its treatment and prevention.Measurements and main resultsWe enrolled a total of 247 patients, with hypertension, diabetes, and psychosis being the top three comorbidities associated with HS. The incidence of HS was higher among males and older individuals. Compared to the control group, the poor prognosis group experienced higher temperatures, a higher incidence of cerebral edema, and gastrointestinal bleeding (all p < 0.05). The poor prognosis group had significantly higher blood pH, HCO3-, Lac, Scr, AST, ALT, DBIL, CKMB, PT, DD, and PLT (all p < 0.05). Furthermore, logistic regression analysis revealed that Lac, Scr, and APACHE II were risk factors for poor prognosis (p < 0.05). The AUC values for the combined diagnostic model were 0.848 (95% CI: 0.781–0.914). Male morbidity, the number of patients with combined hypertension, the prognosis, and the APACHE II score and ALT level were all greater (p < 0.05) in the CHS group. The Kaplan–Meier analysis revealed that the CHS group had a significantly higher mortality rate than the EHS group.ConclusionA high incidence of hypertension, diabetes, psychosis, men, and older persons may be associated with HS. HS patients with high blood cell counts, impaired coagulation, liver and kidney diseases, and those with a specific type of CHS may face a poor prognosis. In patients with heart failure, APACHE II, Lac, and Scr were independent risk factors for a poor prognosis.https://www.frontiersin.org/articles/10.3389/fmed.2025.1467771/fullheat strokeprognosisclinical characteristicsrisk factortreatment |
| spellingShingle | Xin Zheng Yuchun Gao Qinli Xie Qiulan Chen Chuan Guo Qionglan Dong Jin Tang Jun Luo Ying Ge Jian He Xiaolin Hou Guanghong Zhou Yuan Chen Haiquan Cao Jiujia Xiao An Lan Qiu Chen Yonghong Zeng Jing Huang Huaicong Long Analysis of clinical characteristics and risk factors for patients with heat stroke in western China in 2022: a multicenter retrospective study Frontiers in Medicine heat stroke prognosis clinical characteristics risk factor treatment |
| title | Analysis of clinical characteristics and risk factors for patients with heat stroke in western China in 2022: a multicenter retrospective study |
| title_full | Analysis of clinical characteristics and risk factors for patients with heat stroke in western China in 2022: a multicenter retrospective study |
| title_fullStr | Analysis of clinical characteristics and risk factors for patients with heat stroke in western China in 2022: a multicenter retrospective study |
| title_full_unstemmed | Analysis of clinical characteristics and risk factors for patients with heat stroke in western China in 2022: a multicenter retrospective study |
| title_short | Analysis of clinical characteristics and risk factors for patients with heat stroke in western China in 2022: a multicenter retrospective study |
| title_sort | analysis of clinical characteristics and risk factors for patients with heat stroke in western china in 2022 a multicenter retrospective study |
| topic | heat stroke prognosis clinical characteristics risk factor treatment |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1467771/full |
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