Literature DB >> 30884588

[Value of APACHE.II score and DIC score in predicting the death of patients with heat stroke].

Y Wang1, Q M Xiao, H N Qi, W Li, B Y Zhu, Y J Liu, P Wang, W Z Wang.   

Abstract

Objective: To investigate the predictive values of the acute physiology and chronic health evaluation II (APACHE.II) score and disseminated intravascular coagulation (DIC) score on death in patients with heat stroke.
Methods: A total of 76 patients with heat stroke who were treated in Emergency Department of Harrison International Peace Hospital from June 2013 to September 2017 were studied. According to the outcome of patients, we distributed the patients to death group and survival group. APACHE.II score and DIC score were calculated according to the clinical data and the test results at admission. Evaluate the correlation between the two indicators associated with death.
Results: There were 76 patients, with 23 deaths (30.3%) and 53 survivors (69.7%) . The APACHE-II score and DIC score were 26.26±6.48 and 4.00±1.38 in the death group.significantly higher than 20.74±4.17 and 2.28±1.21 in the survival group, and there were significant difference (P< 0.01) . The APACHE. II score was positively correlated with the DIC score, and the higher the score, the higher the mortality rate.Both indicators are significant for the Logitic regression analysis of death (P<0.01) .The sensitivity and specificity of the APACHE.II score were 65.2% and 81.1% in prediction of mortality, The sensitivity and specificity of DIC score were 65.2% and 84.9% in prediction of mortality. The specificity of the APACHE II score plus DIC score were higher than that of single APACHE. II score or DIC score in prediction of mortality (P<0.05) .
Conclusion: The APACHE.II score and DIC score are significantly increased in the early stage of the patients with heat stroke, and the APACHE. II score combined with DIC score may improve the value in prediction of mortality with heat stroke.

Entities:  

Keywords:  APACHE.II score; DIC score; Heat stroke; Mortality

Mesh:

Year:  2019        PMID: 30884588     DOI: 10.3760/cma.j.issn.1001-9391.2019.01.009

Source DB:  PubMed          Journal:  Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi        ISSN: 1001-9391


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