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1.
Chinese Critical Care Medicine ; (12): 338-342, 2015.
Artículo en Chino | WPRIM | ID: wpr-464530

RESUMEN

ObjectiveTo explore the risk factors of the occurrence of acute kidney injury (AKI) in critically ill patients, and to investigate the effect of hydroxyethyl starch (HES) on renal function in these patients.Methods A prospective investigation was conducted. Critically ill patients admitted to Department of Critical Care Medicine of People's Hospital of Huangshan, Wannan Medical College from March 2012 to October 2013 were enrolled. For all the patients under observation, the following data were collected: demography, comorbidities, clinical presentation, severity of illness, and the use of blood product and drugs. All patients were divided into AKI group and non-AKI group by means of Acute Kidney Injury Network (AKIN) criteria, then the risk factors of AKI were investigated by means of univariate and multivariate logistic regression analysis. The effect of HES 130/0.4 administration on renal function in critically ill patients was evaluated.Results 314 patients were enrolled for study out of 1 152 patients admitted. Among these patients enrolled, 89 of them were found to suffer from AKI. AKI was classified as stage 1 in 59 patients, stage 2 in 19 patients, and stage 3 in 11 patients. It was shown by the univariate analysis that 12 variables were the risk factors of AKI, including age, hypertension, diabetes mellitus, acute physiology and chronic health evaluationⅡ (APACHEⅡ) score, sequential organ failure assessment (SOFA) score, coagulation SOFA score, neurological SOFA score, cardiovascular SOFA score, blood pH on intensive care unit (ICU) admission, blood glucose on ICU admission, accumulating dose of HES, and presence of shock (P 0.05). Using the multivariate logistic regression analysis, it was shown that total SOFA score [odds ratio (OR) = 1.20, 95% confidence interval (95%CI) = 1.09-1.32,P< 0.001], hypertension (OR = 2.44, 95%CI = 1.22-4.89,P= 0.012), blood glucose level on ICU admission (OR= 1.85, 95%CI = 1.32-2.59,P< 0.001), and presence of shock (OR = 3.81, 95%CI = 1.93-7.53,P< 0.001) were independent predictors of AKI in critically ill patients, however, the cumulative dose of HES was not independent risk factor for AKI (OR = 0.77, 95%CI = 0.68-0.87,P< 0.001).Conclusions Total SOFA score, hypertension, blood glucose level on ICU admission, and presence of shock were independent risk factors for AKI in critically ill patients. HES administration may not be a causative factor of an increased risk of AKI in the ICU.

2.
Clinical Medicine of China ; (12): 155-157,158, 2015.
Artículo en Chino | WPRIM | ID: wpr-600406

RESUMEN

Objective To explore the significance of warning score of potential critical disease in predicting changes in patients with traumatic brain injury. Methods The clinic information of 75 patients with traumatic brain injury who were treated in the People's Hospital of Huangshan Affiliated to Wannan Medical College from Jan. to Dec. 2013 were analyzed retrospectively. The warning score of potential critical disease, modified early warning score( MEWS)and glasgow coma score( GCS)of all patients and the rates of changes in patients were calculated. Results Of 75 patients enrolled,60 were survived and 15 were died. Seventy-five patients were performed 448 times of warning score of potential critical disease,MEWS and GCS. The maximum, minimum of warning score of potential critical disease were 24 and 0,and the median score(P25,P75)was 4(2, 7). The maximum,minimum of MEWS were 24 and 0,and the median score( P25,P75 )was 4( 3,7 ). The maximum,minimum of GCS were 8 and 3,and the median score(P25,P75)was 5(4,7). The area under ROC of warning score of potential critical disease was 0. 76(95%CI =0. 66 -0. 86,P ﹤0. 01),Youden index was 0. 42 when score was taken 5. 5. The area under the ROC of MEWS was 0. 71( 95%CI =0. 61 -0. 81,P﹤0. 01),Youden index was 0. 4 when taken 3. 5 score. The area under the ROC of GCS was 0. 51(95%CI=0. 37-0. 63,P=0. 99),Youden index was 0. 27 when score was taken 4. 5. Conclusion The warning score of potential critical disease is effective to predict changes in conditions of patients with multiple injuries and better than MEWS and GCS.

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