Purposes: We evaluated the prevalence and factors associated with polypharmacy and investigated the role of polypharmacy as a predictor of length of hospital stay and in-hospital mortality. Methods: Thirty-eight internal medicine wards in Italy participated in the Registro Politerapie SIMI (REPOSI) study during 2008. One thousand three hundred and thirty-two in-patients aged ≥65 years were enrolled. Polypharmacy was defined as the concomitant use of five or more medications. Linear regression analyses were used to evaluate predictors of length of hospital stay and logistic regression models for predictors of in-hospital mortality. Age, sex, Charlson comorbidity index, polypharmacy, and number of in-hospital clinical adverse events (AEs) were used as possible confounders. Results: The prevalence of polypharmacy was 51.9% at hospital admission and 67.0% at discharge. Age, number of drugs at admission, hypertension, ischemic heart disease, heart failure, and chronic obstructive pulmonary disease were independently associated with polypharmacy at discharge. In multivariate analysis, the occurrence of at least one AE while in hospital was the only predictor of prolonged hospitalization (each new AE prolonged hospital stay by 3.57 days, p<0.0001). Age [odds ratio (OR) 1.04; 95% confidence interval (CI) 1.01-1.08; p=0.02), comorbidities (OR 1.18; 95% CI 1.12-1.24; p<0.0001), and AEs (OR 6.80; 95% CI 3.58-12.9; p<0.0001) were significantly associated with in-hospital mortality. Conclusions: Although most elderly in-patients receive polypharmacy, in this study, it was not associated with any hospital outcome. However, AEs were strongly correlated with a longer hospital stay and higher mortality risk. © 2011 Springer-Verlag

Drugs with anticholinergic properties identified by the ACB scale and ARS are associated with worse cognitive and functional performance in elderly patients. The ACB scale might permit a rapid identification of drugs potentially associated with cognitive impairment in a dose-response pattern, but the ARS is better at rating activities of daily living.

Low medication adherence is a real, complex problem for older patients receiving polypharmacy. We found that the increasing number of drugs prescribed at hospital discharge is correlated to non-adherence and a high percentage of patients did not understand the purpose of their medications. Simplification of drug regimens and reduction of pill burdens as well as better explanations of the reason for the medications should be targets for intervention.

This study found no significant effect of inappropriate drug use according to Beers' criteria on health outcomes among older adults 3 month after discharge. Even though these criteria have been suggested as helpful in promoting appropriate prescribing, reducing drug-related adverse events and associated healthcare costs, to date there is no clear evidence that their application can achieve objective and quantifiable improvements in clinical outcomes. A possible explanation is that both versions of the Beers' criteria have several recognized limitations, one of the main ones being the restricted availability of some drugs in Europe or their limited prescription in everyday clinical practice.

The use of INTERCheck(®) was associated with a significant reduction in PIMs and new-onset potentially severe DDIs. CPSSs combining different prescribing quality measures should be considered as an important strategy for optimizing medication prescription for elderly patients.

Background: Although the association between multimorbidity and polypharmacy has been clearly documented, no study has analyzed whether or not specific combinations of diseases influence the prescription of polypharmacy in older persons. We assessed which clusters of diseases are associated with polypharmacy in acute-care elderly inpatients. Methods: This cross-sectional study was held in 38 Italian internal medicine and geriatric wards participating in the Registro Politerapie SIMI (REPOSI) study during 2008. The study sample included 1155 in-patients aged 65 years or older. Clusters of diseases, defined as two or more co-occurring specific chronic diseases, were identified using the odds ratio (OR) for the associations between pairs of diseases followed by cluster analysis. Polypharmacy was defined as the prescription of five or more different medications at hospital discharge. Logistic regression models were run to analyze the association between clusters of diseases and polypharmacy. Results: Among clusters of diseases, the highest mean number of drugs (N 8) was found in patients affected by heart failure (HF) plus chronic obstructive pulmonary disease (COPD), HF plus chronic renal failure (CRF), COPD plus coronary heart disease (CHD), diabetes mellitus plus CRF, and diabetes mellitus plus CHD plus cerebrovascular disease (CVD). The strongest association between clusters of diseases and polypharmacy was found for diabetes mellitus plus CHD plus CVD, diabetes plus CHD, and HF plus atrial fibrillation (AF). Conclusions: The observed knowledge of the relationship among co-occurring diseases and polypharmacy should help to identify and monitor older in-patients at risk of polypharmacy.

A diagnostic algorithm including EEG and selected treatment schedules is only moderately sensitive for the detection of epilepsy and seizures. These findings apply only to the Northern Italian scenario.

The majority of hospitalized older adults with polypharmacy think they are taking a lot of drugs and would like to reduce this number. Older adults should not be considered a major limitation on deprescribing interventions. Future research should examine this issue with qualitative studies in order to gain a more in-depth understanding and explore how these findings can be translated into a multidisciplinary deprescribing process.