Three scales in predicting prognosis of patients with heat stroke / 医学研究生学报
Journal of Medical Postgraduates
; (12): 518-521, 2016.
Article
in Zh
| WPRIM
| ID: wpr-492541
Responsible library:
WPRO
ABSTRACT
Objective The scale lists applied in the diagnosis and treatment of heat stroke generally draw on other specialty scales, and there is no specific scoring system on heat stroke verified by large-scale clinical trials.The paper compared common acute physiology and chronic health evaluationⅡ( APACHEⅡ) , dissolved inorganic carbon score( DIC score) , multiple organ dysfunction score( MOD score) for the prognostic evaluation of heat stroke patients, the sum of three scores and the sum of the percentages of three scores to the score sum on prognostic evaluation of heat stroke patients in order to find a scoring method with higher clinical value. Methods APACHEⅡ, MOD score, DIC score, the sum of three scores and the sum of three scores were applied on 43 patients with heat stroke admitted in our neurological intensive care unit ( NICU) or in intensive care unit ( ICU) .The analysis of the area under the receiver operating characteristic ( ROC) curve( AUC) analysis was made among five scores. Results The weighted sum of three scores has the largest AUC ( 0.896 ) in predicting the death of HS patients according to AUC.The optimal MOD score was 5.5 in predicting the death of HS with a sensitivity of 72.7%and a specifici-ty of 99.69%.The optimal DIC score was 1.5 in predicting the death of HS with a sensitivity of 100%and a specificity of 56.2%.The op-timal score of the sum of the percentages of three scores to the score sum was 0.727 in predicting the death of HS with a sensitivity of 72.7%and a specificity of 100%. Conclusion All the five scores can predict the prognosis of patients with heat stroke.However, due to the deficiency in the prognosis value, a more specific scoring system needs to be developed.
Full text:
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Index:
WPRIM
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Journal of Medical Postgraduates
Year:
2016
Type:
Article