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 orP< 0.01). However, HES administration and daily maximum dose of HES were not the risk factors of AKI in critically ill patients (bothP> 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.

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.

Objective To explore the value of Oxford acute severity of illness score in evaluating the severity and prognosis of critical illness patients.Methods All adult patients admitted to the Department of Critical Care Medicine from August 2012 to July 2014 were retrospectively analyzed.The severity in survivors and non-survivors was evaluated by using Oxford acute severity of illness score and APACHE Ⅲ score,and then statistic analysis were performed.Results Of 470 patients,321 (68.297％) were male,the range of age and ((x) ±s) age were 18 to 97 years and (59 ± 18) years respectively,and 123 patients (26.170％) were in non-survivors group and 347 patients in survivors group.The area under the ROC of Oxford acute severity of illness score was 0.760 (95％ CI:0.712-0.808,P ＜ 0.001),and Youden index was biggest when Oxford acute severity of illness score was 30.5.The area under the ROC of APACHE Ⅲ score was 0.844 (95％ CI:0.806-0.882,P ＜ 0.01),and Youden index was biggest when APACHE Ⅲ score was 70.5.Mortality was high (above 70％) as Oxford acute severity of illness score increased (＞ 40),and Spearman r was 0.976 (P ＜ 0.01).Conclusions Oxford Acute Severity of Illness Score was useful to evaluating the severity and prognosis of critical illness patients and it was easy in clinical practice.

Objective To explore the application value of pulse induced contour cardiac output (PiCCO) monitoring in diagnosis and treatment of patients with neurogenic pulmonary edema (NPE).Methods With review of literature, the data of 4 patients of severe neurological disease complicated by NPE admitted into Department of Critical Care Medicine of Huangshan People's Hospital Affiliated to Wannan Medical College from 2011 to 2013 were retrospectively analyzed and discussed in their PiCCO hemodynamic characteristics and processes of treatment.Results The PiCCO of 4 patients with NPE showed that the extravascular lung water index (EVLWI) was increased significantly (EVLWI was 12 - 42 mL/kg on admission and 10 - 22 mL/kg after hospitalization for 24 hours), all revealing a high permeability pulmonary edema type. The capacity balance of the first 24 hours in the 4 cases was all of positive balance (+1 130, +1 200, +1 750, +1 120 mL respectively). In the treatment, the supplementary colloid was strengthened, the vasoactive drugs such as, dopamine, dobutamine, milrinone, etc were applied to improve the circulatory oxygenation, then the EVLWI was declined; finally the disease situation in 3 cases was improved and one died.Conclusions The clinical diagnosis and treatment of NPE is complex, and many contradictions appear in the therapeutic course. PiCCO monitoring is valuable in early diagnosis, identification of pulmonary edema type, guidance in fluid supplement and vascular active drug application, and assessment of disease severity and prognosis.

Objective To explore the value of waring score of potential critical disease in predicting changes in condition of patients with multiple injuries. Methods From January 1, 2013 to July 31, 2013, all patients with multiple injuries were included prospectively. Patients were observed as soon as ICU admission. The waring score of potential critical disease and MEWS of all patients and the rates of changes in condition of patients were calculated then statistic analysis was performed. Results Of 50 patients enrolled, 44 were survived and 6 were died and 295 changes were found. The maximum , minimum median (P25, P75) of waring score of potential critical disease were 22, 0, 5 (3, 7). The maximum, minimum median (P25, P75) of MEWS were 12, 0, 4 (2, 6). The area under the ROC of waring score of potential critical disease was 0.880 (95% CI, 0.813-0.947, P < 0.001). Youden index was the biggest when waring score of potential critical disease was 6.5. The area under the ROC of MEWS was 0.767 (95% CI, 0.661-0.873, P < 0.001). Youden index was the biggest when MEWS was 5.5. Conclusion The waring score of potential critical disease was effective to predict changes in conditions of patients with multiple injuries and better than MEWS.