Connection between oxidative stress and clinical outcome in acute ischemic stroke (AIS) has been poorly investigated. This study was aimed to assess redox state (through measurement of oxidative stress markers) of patients with acute ischemic stroke during different stages of follow-up period, and to find association between values of mentioned markers and clinical outcome. The investigation was conducted on 60 patients (both sexes, aged 75.90 ± 7.37 years) who were recruited in intensive care units at the Special Hospital for Cerebrovascular Diseases "Sveti Sava," Belgrade. After verification of AIS, patients were followed up in four interval of time: (1) at admission, (2) within 24 h after AIS, (3) within 72 h after AIS, and (4) 7 days after AIS. At these points of time, blood samples were taken for determination of oxidative stress parameters [index of lipid peroxidation (measured as TBARS), nitric oxide (NO) in the form of nitrite ([Formula: see text]), superoxide anion radical ([Formula: see text]), hydrogen peroxide (H2O2)], and enzymes of antioxidant defense system [superoxide dismutase (SOD) and catalase (CAT)] using spectrophotometer. Present study provides new insights into redox homeostasis during ischemic stroke which may be of interest in elucidation of molecular mechanisms involved in this life-threatening condition. Particular contribution of obtained results could be examination of connection between redox disruption and clinical outcome in these patients. In that sense, our finding have pointed out that [Formula: see text] and NO can serve as the most relevant adjuvant biomarkers to monitor disease progression and evaluate therapies.

SummaryBackground: We investigated the traditional and new biomarkers as predictors of cardiovascular mortality in the functionally disabled elderly who are living in a community. Methods: This prospective study included 253 participants (78.3% women) aged 65 and over who were monitored for 32 months. Receiver operating curve analysis and the Cox proportional hazard model were used to identify univariate and multivariate predictors of cardiovascular mortality. The Kap lan-Meier survival curve and Log rank test were used for survival analysis. Results: During the study, 43.1% participants died from cardiovascular diseases. Cutoff points of multivariate predictors were used to build a score system. The risk score was positive in patients with three or more of the following predictors: albumin <40 g/L, body mass index <25 kg/m 2 , total serum bilirubin <10.5 mmol/L, blood urea nitrogen ≥6.5 mmol/L and high-sensitivity C-reactive protein ≥2.25 mg/L. The re la tive risk for cardiovascular mortality for someone with a posi tive vs. negative score was 3.91 (95% CI: 2.55-5.98;