1.Multivariate Logistic analysis of ICU sydrome and establishment of risk model
Xia YANG ; Yilan LIU ; Donge CHEN ; Haiyan HUANG
Chinese Journal of Practical Nursing 2009;25(31):48-50
Object To investigate the main risk factors of ICU sydrome,and establish Logistic regression model to evaluate the accuracy rating、sensitivity and specificity for predicting ICU sydrome.Methods Investigated all patients hospitalized in ICU from June to July of 2007.Data collected include age,gender,religion,family income,education degree,primary disease,character type,APACHE II score and et al.Case-control study Was used to retrospectively investigate the clinical data of ICU sydrome.Firstly,sillgle factor analysis was used in 21 clinical variables.Then,Multivariate Logestic regression analysis was used in selected variables.Results Twelve clinical variables,including age,gender,family income,health care cost wiping out degree,whether or not having family member'death,whether or not encountering other patients'death,length of stay in ICU,whether or not receiving ventilator theraphy,sleep quality,score of APACHE II,time with disease,character type.By Logestic regression analysis,it WSS revealed that there were 6 significant factors for ICU sydrome in diminishing sequence as whether or not receiving ventilator theraphy,length of stay in ICU,sleep quality,gender,time with disease and whether or not encountering other patientsMeath.Logestic regression equation was as following:P=1/[1+Exp∑(31.425+2.611X1+8.188X2-2.677X3+7.474X4+4.312X5+6.153X6)].The accuracy rating、sensitivity and specificity of the Logestic model was 82.37%.79.42% and 85.13% respectively.Conclusions Whether or not receiving ventilator theraphy,length of stay in ICU,sleep quality,gender,time with disease and whether or not encountering other patients'death were the main risk factors of ICU sydrome.The Logestic regression model based on these factors is reliable in predicting ICU sydrome.
2.Influence of chromosomal polymorphisms on the clinical outcome of patients undergoing in vitro fertilization embryo transfer.
Yumei LI ; Donge LIU ; Zhongyuan YAO ; Lingqian WU
Chinese Journal of Medical Genetics 2016;33(6):849-853
OBJECTIVETo explore the influence of chromosome polymorphisms on the outcome of in vitro fertilization embryo transfer (IVF-ET).
METHODSPatients who completed the first cycle of in vitro fertilization fresh embryo transfer were retrospective studied. Patients with the chromosome polymorphisms were classified as to the study group (200 treatment cycles), all patients with normal chromosomes at the same period were classified as the control group (4777 treatment cycles).
RESULTSNo significant difference was found between the chromosome polymorphisms and the control groups in terms of clinical pregnancy rate (44.50% vs. 39.85%, P=0.750), early abortion rate (15.73% vs. 10.79%, P=0.163) and live birth rate per cycle (34.5% vs. 30.73%, P=0.437) except for fertilization rate (60.94% vs. 64.08%, P=0.001), cleavage rate (95.01% vs. 97.09%, P=0.000) and good quality embryo rate (53.8% vs. 58.2%, P=0.001).
CONCLUSIONChromosomal polymorphisms appeared to have no adverse influence on the outcome of IVF-ET treatment.
Adult ; Chromosome Aberrations ; Chromosomes ; genetics ; Embryo Transfer ; methods ; Female ; Fertilization in Vitro ; methods ; Humans ; Male ; Polymorphism, Genetic ; genetics ; Pregnancy ; Pregnancy Outcome
3.Association between anemia and ICU outcomes.
Xuan SONG ; Xin-Yan LIU ; Huai-Rong WANG ; Xiu-Yan GUO ; Kianoush B KASHANI ; Peng-Lin MA
Chinese Medical Journal 2021;134(14):1744-1746