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Is low postoperative cholesterol level really an independent risk factor of adverse outcomes after living donor liver transplantation?
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作者 Qing Liu Fu-Shan Xue +1 位作者 Gui-Zhen Yang Ya-Yang Liu 《Hepatobiliary & Pancreatic Diseases International》 SCIE CAS CSCD 2018年第4期378-379,共2页
To the Editor:We read with great interest the article by Yang et al.[1]evaluating the effects of postoperative serum total cholesterol(s TC)changes on early allograft dysfunction and survival after living donor liver ... To the Editor:We read with great interest the article by Yang et al.[1]evaluating the effects of postoperative serum total cholesterol(s TC)changes on early allograft dysfunction and survival after living donor liver transplantation(LDLT).By the multivariate regression analysis,they showed that patients with s TC<1.42 mmol/L on postoperative day 3 had 4.08-fold and 2.72-fold greater risks of 展开更多
关键词 Is low postoperative cholesterol level really an independent risk factor of adverse outcomes after living donor liver transplantation TC AUC
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Prognostic factors for community-acquired pneumonia in middle-aged and elderly patients treated with integrated medicine 被引量:2
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作者 李建生 侯政昆 +7 位作者 余学庆 李素云 孙子凯 张伟 贾新华 郑四平 王明航 王海峰 《Journal of Traditional Chinese Medicine》 SCIE CAS CSCD 2012年第2期179-186,共8页
OBJECTIVE:To identify prognostic factors in middle-aged and elderly patients with community-acquired pneumonia(CAP) who underwent integrated interventions involving traditional Chinese medicine(TCM) and modern medicin... OBJECTIVE:To identify prognostic factors in middle-aged and elderly patients with community-acquired pneumonia(CAP) who underwent integrated interventions involving traditional Chinese medicine(TCM) and modern medicine.METHODS:Patients aged ≥45 years and diagnosed with CAP were divided into a middle-aged cohort(45-59 years) and an elderly cohort(≥60 years),and clinical data comprising 75 predictor variables in seven classes were collected.After replacing missing data,calibrating multicenter differences and classifYing quantitative data,univariate and multivariate analysis were performed.RESULTS:On multivariate analysis,eight independent risk factors-respiration rate,C reactive protein(CRP),cost of hospitalization,anemia,gasping,confusion,moist rales and pneumonia severity index(PSI)-were correlated with the outcome "not cured" in the elderly cohort.Nine factors-neutrophil percentage(Neu%),blood urea nitrogen(BUN),time to clinical stability,appetite,anemia,confusion,being retired or unemployed,Gram-negative bacterial infection and educational level-were correlated with not cured in the middle-aged cohort.CONCLUSION:Independent predictive risk factors correlated with adverse outcomes in elderly patients were higher respiration rate,CRP≥four times the mean or median for the patient's center,cost of hospitalization>11,323 RMB and PSI>II,plus anemia,gasping,confusion and moist rales;those in middle-aged patients were higher Neu%,BUN≥mean or median,loss of appetite,anemia,confusion,being retired or unemployed and lower educational level.Gram-negative bacterial infection and time to clinical stability>9 days were protective factors. 展开更多
关键词 Rrognosis adverse outcome Risk factor Community-acquired pneumonia Middle aged Elderly Chinese medicine
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Risk factors associated with mortality of COVID-19 in 3125 counties of the United States
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作者 Ting Tian Jingwen Zhang +5 位作者 Liyuan Hu Yukang Jiang Congyuan Duan Zhongfei Li Xueqin Wang Heping Zhang 《Infectious Diseases of Poverty》 SCIE 2021年第1期98-98,共1页
Background:The number of cumulative confirmed cases of COVID-19 in the United States has risen sharply since March 2020.A county health ranking and roadmaps program has been established to identify factors associated ... Background:The number of cumulative confirmed cases of COVID-19 in the United States has risen sharply since March 2020.A county health ranking and roadmaps program has been established to identify factors associated with disparity in mobility and mortality of COVID-19 in all counties in the United States.The risk factors associated with county-level mortality of COVID-19 with various levels of prevaIence are not well understood.Methods:Using the data obtained from the County Health Rankings and Roadmaps program,this study applied a negative binomial design to the courtty-level mortality counts of COVID-19 as of August 27,2020 in the United States.In this design,the infected counties were categorized into three levels of infections using clustering analysis based on time-var ying cumulative con firmed cases from March 1 to August 27,2020.COVID-19 patients were not analyzed in dividually but were aggregated at the county-level,where the coun ty-level deaths of COVID-19 con firmed by the local health agencies.Clustering analysis and Kruskal-Wallis tests were used in our statistical analysis. 展开更多
关键词 adverse health factors County-level confirmed and deaths Race/ethnicity Segregation index Physical environment
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