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Prediction Value of Capillary Leakage Index Combined with MPV/PLT for ARDS in Patients with Abdominal Sepsis / 医学研究杂志
Journal of Medical Research ; (12): 150-154, 2023.
Article em Zh | WPRIM | ID: wpr-1023586
Biblioteca responsável: WPRO
ABSTRACT
Objective To investigate the predictive value of capillary leakage index(CLI)combined with mean platelet volume to platelet count ratio(MPV/PLT)for acute respiratory distress syndrome(ARDS)in patients with abdominal sepsis.Methods Patients with abdominal sepsis admitted to the Affiliated Hospital of Xuzhou Medical University from July 2016 to May 2022 were retrospectively se-lected,and divided into ARDS group and non-ARDS group according to whether they were complicated with ARDS.The clinical data of the two groups were compared.The risk factors of ARDS in patients with abdominal sepsis were analyzed by multivariate Logistic regres-sion.Receiver operator characteristic(ROC)curve was used to evaluate the predictive efficacy of CLI combined with MPV/PLT for ARDS occurrence in patients with abdominal sepsis.Results A total of 250 patients with abdominal sepsis were enrolled,including 113 pa-tients in the ARDS group and 137 patients in the non-ARDS group.Multivariate Logistic regression analysis showed that Sequential Or-gan Failure Assessment(SOFA)score,Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score,CLI and MPV/PLT were independent risk factors for predicting ARDS in abdominal sepsis.ROC curve analysis results showed that the area under the curve(AUC)of the combined index(CLI and MPV/PLT)was the largest,which was 0.810,followed by the APACHE Ⅱ score,which was 0.781.The AUC of MPV/PLT,SOFA score and CLI were 0.770,0.749 and 0.704,respectively.When the optimal cut-off value was 0.3,the specificity was 89.4%and the sensitivity was 61.3%,which was superior to the value of single index in the diagnosis and pre-diction of ARDS in patients with abdominal sepsis.Conclusion CLI and MPV/PLT can well predict ARDS in patients with abdominal sepsis,and when they are combined,the prediction value is higher.
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Texto completo: 1 Base de dados: WPRIM Idioma: Zh Revista: Journal of Medical Research Ano de publicação: 2023 Tipo de documento: Article
Texto completo: 1 Base de dados: WPRIM Idioma: Zh Revista: Journal of Medical Research Ano de publicação: 2023 Tipo de documento: Article