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1.
Chinese Journal of Clinical Infectious Diseases ; (6): 194-198, 2017.
Article in Chinese | WPRIM | ID: wpr-620413

ABSTRACT

Objective To assess the early diagnostic value of white blood cell count (WBC), neutrophil percentage (NEU%), C-reactive protein (CRP) and procalcitonin (PCT) in blood bacterial infection.Methods Clinical data of 114 patients with bacterial blood stream infections(BSI group) and 247 patients without bloodstream infections (control group) admitted to Taiyuan Third People''s Hospitalin 2015 were retrospectively analyzed.The WBC, NEU%, CRP and PCT were measured in all patients.Receiver opearating characteristic curve (Roc) was used to evalute the accuracy of WBC, NEU%, CRP and PCT in the diagnosis of blood stream bacterial infectious.Results There were no significant differences in gender and age between two groups (χ2=0.7731, t=0.9900, both P>0.05).The WBC, NEU%, CRP and PCT levels in BSI group were significantly higher than those in control group (all P0.05), while there was significant difference in PCT level (P<0.05).In diagnosis of bacteremia, the area under the ROC curve of PCT(0.827) was the largest, followed by CRP (0.721), NEU% (0.677) and WBC (0.593), the differences were statistically significant(Z=2.332, 3.355 and 3.786, P<0.05 or <0.01).Conclusion WBC, NEU%, CRP and PCT levels are of certain diagnostic value for bacterial bloodstream infections, particularly the PCT.In addition, PCT can predict G+ bacterial and G-bacterial infections.

2.
Chinese Journal of Nephrology ; (12): 92-99, 2017.
Article in Chinese | WPRIM | ID: wpr-513332

ABSTRACT

Objective To evaluate the incidence and mortality of acute kidney injury (AKI) in coronary care unit (CCU),and to identify the risk factors of the incidence of AKI and the mortality of CCU patients.Methods A total of 414 patients in CCU from January 1,2014 to June 1,2015 at Zhongnan Hospital of Wuhan University were enrolled.Based on the KDIGO-AKI criteria,these patients were classified into two groups:NAKI group (patients without AKI) and AKI group.Clinical characteristics and laboratory data of two groups were compared.The risk factors of the incidence of AKI and the mortality of CCU patients was analyzed by logistic regression,and then the receiver operating characteristic (ROC) curve was drawn to evaluate the predictive value of these risk factors.Results (1) Among 414 patients,136(32.9%) patients fulfilled the criteria for AKI,and 14.0% patients in AKI stage 1,10.9% in AKI stage 2 and 8.0% in AKI stage 3.(2) The total CCU mortality was 15.0%.Mortality of AKI patients in the CCU was 33.3%,higher than 6.1% in patients without AKI (OR=7.735,95%CI 4.215-14.196,P < 0.001).The mortality worsened with increasing severity of AKI (22.4% for AKI stage 1 group,37.8% for AKI stage 2 group,45.4% for AKI stage 3 group).(3) Anemia (OR=8.274,95% CI 4.363-15.689),history of chronic illness (OR=2.582,95% CI 1.400-4.760),APACHE]Ⅱ seores (OR=1.813,95%CI 1.739-1.895),male (OR=3.666,95%CI 1.860-7.226) were the independent risk factors for AKI,while the normal mean arterial pressure (MAP) (OR=0.292,95%CI 0.153-0.556) and normal estimated glonerular filtration rate (eGFR) (OR=0.166,95%CI 0.090-0.306) are the protective factors for AKI (all P < 0.05).(4) AKI was the most powerful independent factor associated with the mortality of CCU patients (OR=7.050,95% CI 2.970-16.735,P < 0.001).Other independent risk factors for CCU mortality included history of chronic illness,ejection fraction and APACHE Ⅱ ≥ 15 scores (all P < 0.05),while the normal MAP and normal eGFR were the protective factors (all P < 0.05).(5) For predicting AKI,eGFR displayed an excellent areas under the ROC curve (AUC=0.815,P < 0.001),and for CCU mortality,APACHE Ⅱ scores had the highest overall correctness of prediction (AUC=0.757 P < 0.001).Conclusions CCU patients have high morbidity of AKI,which is the most powerful independent factor associated with the increased CCU mortality.The eGFR is the best predictor for AKI,and then through the evaluation of eGFR for CCU patients,we can evaluate high-risk groups,make early interventions and then improve the prognosis of CCU patients.

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