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The list of baseline characteristics with a median rating ≥7 is displayed in Table 1.
Potential confounders (baseline characteristics with a p value ≤0.1 in χ tests) were entered in a multivariate model.
The final list only included baseline characteristics with a median rating ≥7 (on a 0 to 10 point scale).
All variables of baseline characteristics with a p < 0.05 in univariate analysis were considered for inclusion in the multivariate model.
Multivariable model 1, which included baseline characteristics with a univariate P < 0.1 for this association, displays several factors with independent associations with maintaining A1C <6.5%.
Baseline characteristics with a skewed distribution were calculated as median (interquartile range) within each cluster, and differences between clusters were analyzed by Kruskal Wallis test.
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The interventions described in the published RCTs performed well against certain criteria, such as baseline characteristics (with 95% having an adequate description), but less well on other criteria, such as patient information (with 58% having an adequate description).
Patients presenting a treatment failure did not differ from those with favourable outcome regarding their baseline characteristics, with the exception of a higher prevalence of diabetes (37.5% versus 10%; p = 0.018) and a higher number of patients presenting a modified Charlson comorbidity index > 2 (75.0% versus 44.0%; p = 0.044).
There were clinically relevant differences in baseline characteristics, with more DAA patients having a cardiovascular SOFA score of 4 compared with placebo (78.7% vs 64.3%, P = 0.03), having higher median doses of norepinephrine (0.26 μg/kg/min vs 0.16 μg/kg/min, P = 0.03) and tending to have lower protein C levels (66.8% vs 72.9%, P = 0.23).
Considering residents´ baseline characteristics, with 75%% of the residents displaying a higher degree of care dependency and more than half of the persons with mobility limitations, the probability of physical restraint is therefore notably elevated.
Relationships of baseline characteristics with incidence of LEA were explored using a proportional hazards approach with discrete linear regression modeling.
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