Predictors of poor prognosis in patients with heat stroke
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 bet...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Korean Society of Emergency Medicine
2019-12-01
|
| Series: | Clinical and Experimental Emergency Medicine |
| Subjects: | |
| Online Access: | http://www.ceemjournal.org/upload/pdf/ceem-18-081.pdf |
| _version_ | 1797895596566118400 |
|---|---|
| author | Jae-Kwon Chun Sangchun Choi Hyuk-Hoon Kim Hee Won Yang Chang Seong Kim |
| author_facet | Jae-Kwon Chun Sangchun Choi Hyuk-Hoon Kim Hee Won Yang Chang Seong Kim |
| author_sort | Jae-Kwon Chun |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T07:28:22Z |
| format | Article |
| id | doaj.art-153fad21908141b78711027039cee6ab |
| institution | Directory Open Access Journal |
| issn | 2383-4625 |
| language | English |
| last_indexed | 2024-04-10T07:28:22Z |
| publishDate | 2019-12-01 |
| publisher | The Korean Society of Emergency Medicine |
| record_format | Article |
| series | Clinical and Experimental Emergency Medicine |
| spelling | doaj.art-153fad21908141b78711027039cee6ab2023-02-24T04:20:17ZengThe Korean Society of Emergency MedicineClinical and Experimental Emergency Medicine2383-46252019-12-016434535010.15441/ceem.18.081258Predictors of poor prognosis in patients with heat strokeJae-Kwon Chun0Sangchun Choi1Hyuk-Hoon Kim2Hee Won Yang3Chang Seong Kim4 Department of Emergency Medicine, Ajou University School of Medicine, Suwon, Korea Department of Emergency Medicine, Ajou University School of Medicine, Suwon, Korea Department of Emergency Medicine, Ajou University School of Medicine, Suwon, Korea Department of Emergency Medicine, Ajou University School of Medicine, Suwon, Korea Ajou University Graduate School of Medicine, Suwon, KoreaObjective 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.http://www.ceemjournal.org/upload/pdf/ceem-18-081.pdfheat strokeprognosisbiomarkerss100b protein |
| spellingShingle | Jae-Kwon Chun Sangchun Choi Hyuk-Hoon Kim Hee Won Yang Chang Seong Kim Predictors of poor prognosis in patients with heat stroke Clinical and Experimental Emergency Medicine heat stroke prognosis biomarkers s100b protein |
| title | Predictors of poor prognosis in patients with heat stroke |
| title_full | Predictors of poor prognosis in patients with heat stroke |
| title_fullStr | Predictors of poor prognosis in patients with heat stroke |
| title_full_unstemmed | Predictors of poor prognosis in patients with heat stroke |
| title_short | Predictors of poor prognosis in patients with heat stroke |
| title_sort | predictors of poor prognosis in patients with heat stroke |
| topic | heat stroke prognosis biomarkers s100b protein |
| url | http://www.ceemjournal.org/upload/pdf/ceem-18-081.pdf |
| work_keys_str_mv | AT jaekwonchun predictorsofpoorprognosisinpatientswithheatstroke AT sangchunchoi predictorsofpoorprognosisinpatientswithheatstroke AT hyukhoonkim predictorsofpoorprognosisinpatientswithheatstroke AT heewonyang predictorsofpoorprognosisinpatientswithheatstroke AT changseongkim predictorsofpoorprognosisinpatientswithheatstroke |