BACKGROUND: Polypharmacy and potentially inappropriate medications (PIMs) are known to affect several negative outcomes in older patients. However, studies comparatively assessing polypharmacy and PIMs in relation to readmission are distinctively lacking. AIMS: To compare the impact of polypharmacy and PIMs on 3-month readmission among older patients discharged from acute care hospital. METHODS: Our series consisted of 647 patients consecutively enrolled in a multicenter observational study. The outcome of the study was the occurrence of any admission during the 3-month follow-up after discharge. Polypharmacy was defined as use of more than eight medications. PIMs were identified using 2015 version of Beers and Screening Tool of Older Persons Prescriptions (STOPP) criteria. Statistical analysis was performed using logistic regression models. RESULTS: After adjusting for potential confounders, polypharmacy (OR 2.72, 95% CI 1.48-4.99) was found associated with the outcome, while Beers (OR 0.85, 95% CI 0.46-1.56), STOPP (OR 1.60, 95% CI 0.85-3.01), or combined Beers and STOPP violations (OR 0.99, 95% CI 0.57-1.74) were not. The association between polypharmacy and 3-month readmission was confirmed in logistic regression models including Beers (OR 2.88, 95% CI 1.55-5.34), STOPP (OR 2.64, 95% CI 1.43-4.87), or combined Beers and STOPP violations (OR 2.80, 95% CI 1.51-5.21). DISCUSSION: Besides confirming that polypharmacy should be considered as a marker for readmission risk among older patients discharged from acute care hospital, our findings suggest that the association between polypharmacy and 3-month readmission is substantially independent of use of PIMs. CONCLUSIONS: Polypharmacy, but not PIMs was significantly associated with readmission. Hospitalization should always be considered as a clue to individuate unnecessary polypharmacy and to reduce the burden of medications whenever possible.
BACKGROUND: Polypharmacy and potentially inappropriate medications (PIMs) are known to affect several negative outcomes in older patients. However, studies comparatively assessing polypharmacy and PIMs in relation to readmission are distinctively lacking. AIMS: To compare the impact of polypharmacy and PIMs on 3-month readmission among older patients discharged from acute care hospital. METHODS: Our series consisted of 647 patients consecutively enrolled in a multicenter observational study. The outcome of the study was the occurrence of any admission during the 3-month follow-up after discharge. Polypharmacy was defined as use of more than eight medications. PIMs were identified using 2015 version of Beers and Screening Tool of Older Persons Prescriptions (STOPP) criteria. Statistical analysis was performed using logistic regression models. RESULTS: After adjusting for potential confounders, polypharmacy (OR 2.72, 95% CI 1.48-4.99) was found associated with the outcome, while Beers (OR 0.85, 95% CI 0.46-1.56), STOPP (OR 1.60, 95% CI 0.85-3.01), or combined Beers and STOPP violations (OR 0.99, 95% CI 0.57-1.74) were not. The association between polypharmacy and 3-month readmission was confirmed in logistic regression models including Beers (OR 2.88, 95% CI 1.55-5.34), STOPP (OR 2.64, 95% CI 1.43-4.87), or combined Beers and STOPP violations (OR 2.80, 95% CI 1.51-5.21). DISCUSSION: Besides confirming that polypharmacy should be considered as a marker for readmission risk among older patients discharged from acute care hospital, our findings suggest that the association between polypharmacy and 3-month readmission is substantially independent of use of PIMs. CONCLUSIONS: Polypharmacy, but not PIMs was significantly associated with readmission. Hospitalization should always be considered as a clue to individuate unnecessary polypharmacy and to reduce the burden of medications whenever possible.
Authors: Celine Gallagher; Karin Nyfort-Hansen; Debra Rowett; Christopher X Wong; Melissa E Middeldorp; Rajiv Mahajan; Dennis H Lau; Prashanthan Sanders; Jeroen M Hendriks Journal: Open Heart Date: 2020-04-06
Authors: Giuliano Piccoliori; Angelika Mahlknecht; Marco Sandri; Martina Valentini; Anna Vögele; Sara Schmid; Felix Deflorian; Adolf Engl; Andreas Sönnichsen; Christian Wiedermann Journal: BMC Geriatr Date: 2021-03-20 Impact factor: 3.921