Table 2

Multivariable association between predictors and outcome events after correction for optimism, including the model constant

PredictorAdjusted regression coefficient*†
(95% CI)
P value‡
Number of comorbidities0.125 (0.0663 to 0.184)<0.001
Estimated glomerular filtration rate/10 (ml/min/1.73 m2)−0.0308 (−0.0628 to 0.0012)0.059
White cell count (109/L)0.0234 (−0.0007 to 0.0476)0.057
Number of medicines0.0347 (0.0063 to 0.0630)0.016
Previous allergy§0.272 (0.0591 to 0.484)0.012
Nervous system and mental disorders§0.354 (0.0156 to 0.693)0.040
Respiratory system§−0.234 (−0.493 to 0.0253)0.077
Gastrointestinal system§−0.533 (−0.911 to −0.156)0.006
Aminoglycosides and glycopeptides§0.331 (−0.0457 to 0.708)0.085
Other systemic antimicrobials§0.311 (0.0777 to 0.545)0.009
Epilepsy medicines§0.385 (0.0950 to 0.675)0.009
  • *Relationship between the independent and dependent variable (amount of increase in predicted log odds of the outcome event that would be predicted by a one unit increase in the independent variable).

  • †Original regression coefficients corrected by uniform linear shrinkage factor (0.855).

  • ‡Test for difference between admissions with and without occurrence of outcome event. Obtained from multivariable regression modelling.

  • §Categorical exposure variable. For the purposes of calculating the predicted risk for individual patients, categorical variables are coded as ‘one’ if present and ‘zero’ if absent.