title: Ischaemic stroke--impact of renal dysfunction on in-hospital mortality.
abstract: Renal dysfunction predicts mortality in patients with myocardial infarction but less is known about the impact of renal dysfunction on in-hospital mortality after ischaemic stroke. All 361 patients (185 men, 176 women; mean age 72.1 years) with ischaemic stroke and glomerular filtration rate (GFR) <90 ml/min/1.73 m2 were followed-up. GFR was calculated according to abbreviated modification of diet in renal disease (MDRD) formula. Stroke severity was determined by National Institutes of Health Stroke Scale (NIHSS). The mean GFR was 61.5 +/- 16.6 ml/min/1.73 m2. There were 49 (13.6%) in-hospital deaths. Patients who died had higher NIHSS (P = 0.0001), were older (P = 0.024), had lower GFR (P = 0.028), higher hs-C-reactive protein (P = 0.001) and lower albumin (P = 0.048). No differences in presence of diabetes and hypertension, cholesterol (total, HDL and LDL), triglycerides and BMI between patients who died or survived were found. With univariate analysis association between in-hospital mortality and NIHSS (P = 0.0001), GFR (P = 0.041), total cholesterol (P = 0.021) and LDL cholesterol (P = 0.034) was found. With Cox multivariable regression analysis of risk factors, NIHSS (P = 0.0001), GFR (P = 0.018), total cholesterol (P = 0.008) and LDL cholesterol (P = 0.011) were only predictors of in-hospital mortality. In patients with ischaemic stroke, decreased GFR was associated with higher in-hospital mortality.
authors.affiliation: Department of Neurology, University Clinical Centre Maribor, Maribor, Slovenia. radovan.hojs@guest.arnes.si
authors.forename: T
authors.initials: T
authors.lastname: Hojs Fabjan
authors.forename: R
authors.initials: R
authors.lastname: Hojs
authors.forename: E
authors.initials: E
authors.lastname: Tetickovic
authors.forename: B
authors.initials: B
authors.lastname: Pecovnik Balon
mesh_terms: D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D001161:Arteriosclerosis / Q000097:blood / Q000401:mortality / Q000503:physiopathology; D002545:Brain Ischemia / Q000401:mortality*; D002784:Cholesterol / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D015897:Comorbidity; D050171:Dyslipidemias / Q000097:blood / Q000401:mortality / Q000503:physiopathology; D005260:Female; D005919:Glomerular Filtration Rate / Q000502:physiology; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D007668:Kidney / Q000503:physiopathology; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012077:Renal Artery / Q000503:physiopathology; D051437:Renal Insufficiency / Q000097:blood / Q000401:mortality* / Q000503:physiopathology; D012680:Sensitivity and Specificity; D020521:Stroke / Q000401:mortality*
chemical_list: D008078:Cholesterol, LDL; D002784:Cholesterol