Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Journal：Computers in Biology and Medicine

Publication type: Original Contributions

IF(IF): 6.69

PMID: 36924734 Link To Pubmed Full text Download

There is a lack of data regarding the relationship between nonalcoholic fatty liver disease (NAFLD) at admission and acute ischemic stroke (AIS) prognosis. We investigated the association between NAFLD risk and long-term outcomes, and whether the predictive ability would be improved after adding the index to previous conventional models for prognosis .

Continuous variables were reported as median with interquartile range or mean with standard deviation and categorical variables were showed as frequencies (percentages). Statistical comparisons were performed with the χ2 test or Fisher exact test, the Student t test, or the Mann-Whitney U test, as appropriate. Univariable and multivariable analyses with logistic or Cox regression were used to determine significant predictors of poor outcomes at 1-year follow-up. Variables adjusted in the conventional model included: age, sex, initial NIHSS score, TOAST classification, previous medical history of stroke, hypertension, diabetes, smoking, drinking. In addition, the area under the curve, net reclassification index (NRI), and absolute integrated discrimination improvement (IDI) were calculated to establish the performance of two predicted scores (FLI and HSI) added to the conventional model, respectively. NRI is used to quantify amount of correct reclassification introduced by using a model with added variable, and IDI is used to quantify increase in separation of events and nonevents. NRI or IDI >0 reflected improvements in performance between new and old models [18]. Results with p-value < 0.05 were defined as statistically significant. The risk was expressed as the 95% CIs. All analyses were conducted using SAS version 9.4 statistical software (SAS Institute, Inc, Cary, NC).