Baseline patient characteristics (demographic, cardiac history, non-cardiac history and hospitalization variables) were collected at the time of ACS hospitalization.
All hospitalization variables decreased after the creation of the network, which was not explained by admissions elsewhere.
Demographics and hospitalization variables of CRPA case patients were compared with patients with carbapenem susceptible P. aeruginosa (CSPA).
None of the four RCTs that were not included in the meta-analyses reported any statistically significant differences in hospitalization variables between the study groups 14, 16– 16.
The relationships between wound colonization by Staphylococcus spp. and S. aureus and hospitalization variables and wound characteristics are shown Table 2.
The predictors are divided into those affecting the resident's welfare, the resident's preferences, financial implications of the hospitalization, and history of hospitalization variables (see Table 1 for a complete list).
This analysis established the proportions of the acute morbidity, ambulatory care and hospitalization variables by sex, age group, living arrangements, health insurance, self-report health condition, disability, chronic diseases and household size.
In order to identify independent risk factors for hospitalization, variables such as age, sex, apelin, adiponectin, IL-6, eGFR, creatinine, LVMI, OxLDL, resistin, and visfatin were analyzed through a multivariate logistic regression.
The bivariate analysis between the acute morbidity, ambulatory care and hospitalization variables established that there were statistically significant differences between the dependent variables and the variables gender, age group, living arrangements, health insurance, self reported health status, disability, chronic diseases and locality size (p < 0.05) (Table 2).
