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These associations were examined in the whole cohort, with further exploratory analyses in the following predetermined subgroups: diabetes status, gender, ethnicity, and type of ICU admission. Because GV may vary with duration of exposure and was noted Ruxolitinib research buy to have unexpectedly positive association with rates of home discharge on preliminary analyses, we examined the association between measures of GV and ICU length of stay in 3 ways: (1) across quartiles of GV, (2) between patients with and without home discharge, and (3) across ICU length of stay strata. In addition, we examined predictors of GV. Group data are reported as numbers (percentages) for categorical variables and mean (standard deviation [SD]) or median (interquartile range [IQR]) for continuous variables, as appropriate. Distribution of normality was examined by Kolmogorov�CSmirnov test. Categorical data were compared by 2-sided ��2. Mann-Whitney U tests, t tests, and Kruskal�CWallis tests were used to compare continuous data, as appropriate. Trends of categorical data were examined using the Cochran�CArmitage test for trend. Also calculated were 95% confidence intervals (CIs). We constructed multivariate logistic regression models to explore the association between buy Vemurafenib GV and home discharge among survivors of critical illness as dependent variable. A backward data entry method was used, with insignificant variables removed when P > .1. We adjusted the analyses for the following confounders: age, gender, ethnicity, comorbid conditions, type of ICU admission, Gluadm, Glustrt, Gluave, time to achievement of blood glucose �� 130 mg/dl, presence of hypoglycemia, number of hypoglycemic events, use of systemic steroids, and ICU and hospital lengths of stay. Explanatory variables for GV were examined using separate multivariate regression models for GluSD and GluCV using similar covariates as above, except the number of hypoglycemic events and hospital LOS. All statistical analyses were performed using MedCalc version 12.7.0 (MedCalc Software, Ostend, Belgium). A 2-sided P value Amiloride was 19.9%, leaving 351 patients for analysis. Patients�� demographics and key clinical, glycemia-related, and outcome measures are described in Table 1. A total of 190 (54%) patients were discharged home. Table 1. Baseline Patient Characteristics, Measures of Glycemic Management, and Selected Outcomes. Increased GV across GluSD quartiles was associated with significantly higher rates of home discharge for the whole cohort, and among patients with a diagnosis of diabetes, and male, Hispanic, and surgical patients (Figures 1 and ?and2,2, Table 2).