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Data from different medication groups were pooled.
Differences in these characteristics between medication groups were identified with ANOVA and a Tukey post hoc test.
Within the medication list, four medication groups were selected for analysis and correlation to renal function: metformin, NSAIDs, ACE-inhibitors/ARBs and digoxin.
After the stepwise procedure for inclusion in the Poisson regression models, the selected medication groups were both OTC and prescription medications purchased and prescribed for varying degrees of severity of ILI symptoms or complications of influenza.
Both active medication groups were statistically significantly more likely to demonstrate this level of improvement compared with placebo (p < 0.001) but not when compared to one another (p = 0.6).
As the differences between patients treated with metformin and a sulphonylurea and patients treated with metformin and a glitazone did not reach statistical significance for hypoglycaemia (p = 0.1127) or HFS-II scores (p = 0.5222), the medication groups were combined for subsequent analysis.
Similar(54)
A significant time-effect showing a steady decline in depressive symptoms in all medication groups was demonstrated.
Compliance rates (as defined by the patient) differed between medication groups, being highest for bisphosphonates and lowest for HRT and strontium ranelate.
Significantly more patients in the ECT plus medication group were rated "not ill at all" on the CGI-S compared with the medication only group.
No other significant differences between the medication and the no medication group were found.
The finalised algorithms for each PIP medication group were compiled into a manual of treatment algorithms.
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