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Prevalence ratios by univariable analysis for the hunters, Wetteraukreis district, Hesse in Central Germany, 2013.
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Variables with P values <0.15 by univariable analysis were selected for multivariable analysis.
However, it has to be mentioned, that in our study the predictive performance for diabetes progression for sE-selectin (which was indicated by univariable analysis) was blunted after adjustment for age and particularly BMI.
Increasing age was also identified by univariable analysis as being a risk factor for having an active lesion (Table 3).
Factors that increased risk for mortality by univariable analysis included: male gender, age of 53 years or greater, ICU admission, Pitt bacteremia score of four or greater, nephrotoxicity, and vancomycin trough of 15 mcg/ml or greater.
We analyzed the association of hemodynamic data and risk factors for progression of AKI with the primary endpoint by univariable analysis.
By univariable analysis, factors associated with mortality included age, platelet count, status epilepticus, troponin level, cardiac arrest.
Association between baseline variables, describing patient's condition at ICU admission or at intubation, and overall mortality was assessed by univariable analysis using Cox proportional hazard models.
All significant factors identified by univariable analysis were now entered into three separate regressions, according to group (there was no socio-demographic group for PTSD).
By univariable analysis, higher OPG was associated with both early ischaemic and arrhythmic events.
Categorical variables were expressed as count and percent and were analyzed by univariable analysis, using the Fisher exact test.
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