The trend of mortality

over the first and last years in the study period was assessed using the chi-squared test. A probability value less than 0.05 was considered significant. Statistical package for social sciences (SPSS version 15.0) was used for all the statistical tests. Results Cohort Demographics Medical records of 16351 patients, consisting of 8759 (53.6%) men #Idelalisib mw keyword# and 7592 (46.4%) women, were reviewed. There were 428 (2.6%) selleck chemicals Crizotinib patients in the pediatric age group (age<18), 2326 (14.2%) young adults (age=19-45), 5958 (36.4%) middle-aged individuals (age=46-64), and 7639 (46.7%) older adults (age>65). The mean age for the entire sample was 63.4 (95% CI: 63.1 to 63.6). Females were slightly older than males (63.8 [95% CI: 63.4 to 64.1] vs. 63.0 years [95% CI: 62.6 to 63.4]; P<0.001). Eighteen percent (n=2935) of our cohort resided in rural areas and the rest lived in urban areas. Patients from rural areas Inhibitors,research,lifescience,medical were significantly

younger (59.7 [95% CI: 59.0 to 60.5] vs. 63.5 [95% CI: 63.2 to 63.9]; P<0.001). The mean hospital stay was 6.3 days (95% CI: 6.2 to 6.4), which was longer in the pediatric age group than in the adult population (9.4 [95% CI: 8.6 to 10.3] vs. 6.2 [95% CI: 8.6 to 10.3]; P=0.001). Table 1 shows the age distribution of the stroke patients in comparison to the age distribution of Fars Province in 2006, when the national census was performed. Table 1 Age distribution of the stroke patients admitted Inhibitors,research,lifescience,medical to Nemazee Hospital in comparison to that of Fars province in 2006 Outcome of Hospital Mortality A total of 3354 (20.5%) patients (95% CI: 20.2% to 20.8%) died during the same hospitalization. Table

2 illustrates the basic demographics of those who died compared to the rest of the sample. Those who died were older (mean age=64.3 Inhibitors,research,lifescience,medical [95% CI: 63.7 to 65.0] vs. 63.1 [95% CI:62.8 Inhibitors,research,lifescience,medical to 63.4]; P<0.001) and they were of a lower socioeconomic status (23.3% [95% CI: 21.8% to 24.8%] vs. 20.4% [95% CI: 20.0% to 20.7%]; P=0.044). Despite the slight male predominence among those who died (50.8% vs. 49.2%), univariate analysis showed a higher mortality among women (male mortality=19.5% Cilengitide [95% CI: 19.1% to 19.9%] vs. female mortality=21.7% [95% CI: 21.2% to 22.2%]; P<0.001). Stratified analysis for age and sex in association with hospital mortality is depicted in figure 1. The mean hospital stay in the patients who died during the same hospitalization was longer than that of the surviving population (7.0 [95% CI: 6.7 to 7.25 days] vs. 6.1 [95% CI: 6.0 to 6.24 days]; P<0.001). Covariates associated with higher hospital mortality in multiple logistic regression analysis were sex (females vs. males OR: 1.15, 95% CI: 1.07 to 1.24; P<0.001), stroke in children compared to those older than 18 (OR: 1.54, 95% CI: 1.24 to 1.91; P<0.001), low socioeconomic status (OR: 1.03, 95% CI: 0.92 to 1.15; P=0.618), and geographic location (rural vs. urban OR: 1.17, 95% CI: 0.99 to 1.39; P=0.065) (table 3).