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Background: Multimorbidity is common in older patients with heart failure (HF), complicating therapeutic management and increasing the risk of harm. Objective: This study sought to examine the prevalence of medicines for the treatment of comorbid conditions potentially associated with harm in older people, before and after HF hospitalization. Methods: A retrospective cohort study of older people hospitalized with a primary diagnosis of HF over a 12-month period was conducted using administrative health claims data from the Department of Veterans' Affairs (DVA) Australia. We examined the prevalence of medicines that may exacerbate or worsen HF as defined by the American Heart Association (AHA) and Australian HF clinical guidelines, in the 30 days prior and 120 days before and after discharge for HF. Results: A total of 4069 older adults were hospitalized for HF during the study period; almost 60% (n = 2435) received at least one medicine associated with an increased risk of harm before hospitalization, with the majority (66.7%, n = 1623) dispensed in the 30 days prior. A small but significant reduction after hospitalization was observed, but 56% (n = 1638) received at least one of these medicines after hospitalization (p = 0.001). Over one-quarter received two or more medicines before hospitalization, and this only reduced to 22% post-hospitalization (p < 0.0001). Conclusions: Little change in the prescribing of potentially harmful medicines for HF was observed; 56% of older adults received at least one following hospitalization for HF, highlighting the therapeutic complexity of multimorbidity in HF. Use of the AHA list to facilitate identification of potentially harmful medicines, followed by prioritization of treatment goals and appropriate risk mitigation are needed to facilitate reduction in hospitalization for patients with HF with multimorbidity. [ABSTRACT FROM AUTHOR]

Background: Co-morbidity of both cardiac and non-cardiac conditions is common in the elderly with heart failure (HF) and can be associated with adverse clinical outcomes. Objectives: The aims of this study were to examine the prevalence of comorbidity and potential treatment conflicts that may result in adverse clinical outcomes in a large cohort of elderly HF patients. Methods: We conducted a cross-sectional study using administrative claims data (1 April to 31 July 2007) from the Department of Veterans' Affairs, Australia, on all veterans aged ≥65 years with HF. Co-morbidities were defined using the pharmaceutical based co-morbidity index Rx-Risk-V. Potential treatment conflicts for patients with HF and co-morbid diseases were identified from Australian clinical guidelines or reference compendia and their prevalence in the data were determined. Results: A total of 6730 patients were included in the study, with a median of 6 co-morbid conditions (interquartile range [IQR] 4-7) and 11 (IQR 8-15) unique medicines. Almost the entire HF cohort (97.8%) were identified as having at least one co-morbid condition that may cause a potential treatment conflict, with 55% having three or more. The conditions identified as being of greatest concern, based on their prevalence and potential for treatment conflict, were chronic airways disease, depression, chronic pain/inflammatory disease, glaucoma, diabetes mellitus and diseases treatable with corticosteroids. Conclusions: Potential treatment conflicts are common in the highly comorbid population of elderly patients with HF, and may influence the therapeutic management of not only HF but all conditions present. [ABSTRACT FROM AUTHOR]

Background: Polypharmacy has been associated with increased mortality but the contribution of different medication-related factors to this is unknown. Aims: The aim of this study was to identify demographic and medication-related predictors of mortality in the older population. Given the intrinsic link between polypharmacy and multimorbidity, the secondary aim was to examine if the medicines or underlying diseases predicted mortality. Methods: Patients aged ≥ 65 years from an outpatient multimorbidity clinic were included. Medication-related factors included the medicines count, high-risk medicines, inappropriate medicines duplication, and potential drug–drug and drug–disease interactions. Logistic regression was used to identify mortality predictors within a year of clinic discharge from the outpatient clinic. Patients attend the clinic until medications and comorbidity management have been optimised, at which point they are discharged from the clinic, and their General Practitioner provides ongoing care. Results: A total of 584 patients were included (median age 80.0 years) and 9.9% (n = 58) died within a year of discharge. Demographics, namely age (adjusted odds ratio [aOR] 1.05; 95% CI 1.01–1.09; p = 0.018) and being male (aOR 5.10; 95% CI 2.63–9.88; p < 0.001); chronic disease, namely heart failure (aOR 3.36; 95% CI 1.78–6.35; p < 0.001); and medication-related factors, namely the number of sedative and anticholinergic medicines (aOR 1.66; 95% CI 1.19–2.33; p = 0.003) predicted mortality in the study population. Conclusion: Whilst polypharmacy has been defined using the number of medicines in the literature, a combination of demographics, chronic disease and medications predicted mortality in our study. This provides guidance for the development of future tools and guidelines regarding the inclusion of key factors for identifying high-risk patients at risk of adverse health outcomes such as mortality. [ABSTRACT FROM AUTHOR]

Background: There are tools and criteria in the literature aimed at distinguishing between appropriate and inappropriate medicines use. However, many have not been externally validated with regard to patient-related outcomes, potentially limiting their use in clinical practice.Objectives: The aim of the study was to conduct a systematic review to summarise (1) available prescribing appropriateness assessment tools and criteria, and (2) their associations with patient-related outcomes (external validity).Methods: A systematic review was conducted using MEDLINE, EMBASE and Informit (Health Collection) databases to screen for articles in English that examined (1) tools to assess the appropriateness of prescribing and (2) associations of tools with patient-related outcomes, published between 2000 and 2016, without any limits placed on the study design, participant age or setting.Results: After screening 1710 articles, removing duplicates and shortlisting relevant articles, 42 prescribing assessment tools were identified. Out of the 42 tools, 78.6% (n = 33) provided guidance around stopping inappropriate medications, 28.6% (n = 12) around starting appropriate medications, 61.9% (n = 26) were explicit (criteria based) and 31.0% (n = 13) had been externally validated, with hospitalisation being the most commonly used patient-related outcome (n = 9, 21.4%).Conclusion: The results of this systematic review highlight the need for evidence-based and externally validated tools, which combine the different aspects of medication management to optimise patient-related outcomes. PROSPERO registration number: CRD42017067233. [ABSTRACT FROM AUTHOR]