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Background: Diabetes overtreatment is a frequent and severe issue in multimorbid older patients with type 2 diabetes (T2D). Objective: This study aimed at assessing the association between diabetes overtreatment and 1-year functional decline, hospitalisation and mortality in older inpatients with multimorbidity and polypharmacy. Methods: Ancillary study of the European multicentre OPERAM project on multimorbid patients aged ≥70 years with T2D and glucose-lowering treatment (GLT). Diabetes overtreatment was defined according to the 2019 Endocrine Society guideline using HbA1c target range individualised according to the patient's overall health status and the use of GLT with a high risk of hypoglycaemia. Multivariable regressions were used to assess the association between diabetes overtreatment and the three outcomes. Results: Among the 490 patients with T2D on GLT (median age: 78 years; 38% female), 168 (34.3%) had diabetes overtreatment. In patients with diabetes overtreatment as compared with those not overtreated, there was no difference in functional decline (29.3% vs 38.0%, P = 0.088) nor hospitalisation rates (107.3 vs 125.8/100 p-y, P = 0.115) but there was a higher mortality rate (32.8 vs 21.4/100 p-y, P = 0.033). In multivariable analyses, diabetes overtreatment was not associated with functional decline nor hospitalisation (hazard ratio, HR [95%CI]: 0.80 [0.63; 1.02]) but was associated with a higher mortality rate (HR [95%CI]: 1.64 [1.06; 2.52]). Conclusions: Diabetes overtreatment was associated with a higher mortality rate but not with hospitalisation or functional decline. Interventional studies should be undertaken to test the effect of de-intensifying GLT on clinical outcomes in overtreated patients.

We identified factors associated with healthcare costs and health-related quality of life (HRQoL) of multimorbid older adults with polypharmacy. Using data from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid older people) trial, we described the magnitude and composition of healthcare costs, and time trends of HRQoL, during 1-year after an acute-care hospitalization. We performed a cluster analysis to identify groups with different cost and HRQoL trends. Using multilevel models, we also identified factors associated with costs and HRQoL. Two months after hospitalization monthly mean costs peaked (CHF 7'124) and HRQoL was highest (0.67). They both decreased thereafter. Age, falls, and comorbidities were associated with higher 1-year costs. Being female and housebound were negatively associated with HRQoL, while moderate alcohol consumption had a positive association. Being independent in daily activities was associated with lower costs and higher HRQoL. Although only some identified potential influences on costs and HRQoL are modifiable, our observations support the importance of prevention before health deterioration in older people with multimorbid illness and associated polypharmacy.

Background and Objectives: Antiplatelet therapy, when prescribed in combination with anticoagulant therapy to older patients with atrial fibrillation and no recent cardiovascular event, is inappropriate and a reversible risk factor of major bleeding. We aimed to assess the trend over time of the prevalence of inappropriate combined antiplatelet and anticoagulant therapy and to determine its associated factors during the direct oral anticoagulant era. Methods: This was a study of consecutive older patients (age ≥ 75 years) with atrial fibrillation, receiving anticoagulant therapy upon admission, and undergoing a comprehensive geriatric assessment during their first admission in a Belgian teaching hospital between 2009 and 2018. Antiplatelet therapy was considered inappropriate in the absence of a recent cardiovascular event. We studied the prevalence of inappropriate combined antiplatelet and anticoagulant therapy by 2-year periods and assessed its associated factors since the year 2013. Results: Inappropriate combined antiplatelet and anticoagulant therapy was identified in 21% of the 654 patients (median age 84 years, 51% women), with a prevalence decreasing (p ≤ 0.01) from 25% (2009–10) to 14.8% (2017–18). Among the 469 patients recruited during the direct oral anticoagulant era, inappropriate combined antiplatelet and anticoagulant therapy (19%) was associated in a multivariable analysis with a history of stroke/transient ischemic attack (odds ratio 2.13, p = 0.007), anticoagulation with low-molecular-weight heparin (odds ratio 3.44, p = 0.015), and a history of vascular disease (odds ratio 5.68, p < 0.001). Conclusions: While inappropriate combined antiplatelet and anticoagulant therapy has declined over the last decade, there is still room for improvement. Antiplatelet deprescribing should be considered in all patients with inappropriate combined antiplatelet and anticoagulant therapy, including those with vascular disease and no recent cardiovascular event

BACKGROUND Benzodiazepine receptor agonists (BZRAs) are commonly prescribed in older adults despite an unfavorable risk-benefit ratio. Hospitalizations may provide a unique opportunity to initiate BZRA cessation, yet little is known about cessation during and after hospitalization. We aimed to measure the prevalence of BZRA use before hospitalization and the rate of cessation 6 months later, and to identify factors associated with these outcomes. METHODS We conducted a secondary analysis of a cluster randomized controlled trial (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly [OPERAM]), comparing usual care and in-hospital pharmacotherapy optimization in adults aged 70 years or over with multimorbidity and polypharmacy in four European countries. BZRA cessation was defined as taking one or more BZRA before hospitalization and not taking any BZRA at the 6-month follow-up. Multivariable logistic regression was performed to identify factors associated with BZRA use before hospitalization and with cessation at 6 months. RESULTS Among 1601 participants with complete 6-month follow-up data, 378 (23.6%) were BZRA users before hospitalization. Female sex (odds ratio [OR] 1.52 [95% confidence interval 1.18-1.96]), a higher reported level of depression/anxiety (OR up to 2.45 [1.54-3.89]), a higher number of daily drugs (OR 1.08 [1.05-1.12]), use of an antidepressant (OR 1.74 [1.31-2.31]) or an antiepileptic (OR 1.46 [1.02-2.07]), and trial site were associated with BZRA use. Diabetes mellitus (OR 0.60 [0.44-0.80]) was associated with a lower probability of BZRA use. BZRA cessation occurred in 86 BZRA users (22.8%). Antidepressant use (OR 1.74 [1.06-2.86]) and a history of falling in the previous 12 months (OR 1.75 [1.10-2.78]) were associated with higher BZRA cessation, and chronic obstructive pulmonary disease (COPD) (OR 0.45 [0.20-0.91]) with lower BZRA cessation. CONCLUSION BZRA prevalence was high among included multimorbid older adu

OBJECTIVES We identified factors associated with healthcare costs and health-related quality of life (HRQoL) of multimorbid older adults with polypharmacy. METHODS Using data from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid older people) trial, we described the magnitude and composition of healthcare costs, and time trends of HRQoL, during 1-year after an acute-care hospitalization. We performed a cluster analysis to identify groups with different cost and HRQoL trends. Using multilevel models, we also identified factors associated with costs and HRQoL. RESULTS Two months after hospitalization monthly mean costs peaked (CHF 7'124) and HRQoL was highest (0.67). They both decreased thereafter. Age, falls, and comorbidities were associated with higher 1-year costs. Being female and housebound were negatively associated with HRQoL, while moderate alcohol consumption had a positive association. Being independent in daily activities was associated with lower costs and higher HRQoL. CONCLUSION Although only some identified potential influences on costs and HRQoL are modifiable, our observations support the importance of prevention before health deterioration in older people with multimorbid illness and associated polypharmacy.

Purpose: In geriatric patients with type 2 diabetes (T2D), appropriate glycaemic control is crucial to avoid overtreatment and hypoglycaemia. This study compared glycaemic control appropriateness across three major clinical practice guidelines (CPGs). Methods: Retrospective study of geriatric older inpatients with T2D and glucose-lowering treatment before admission. Patients were classified as appropriately treated, overtreated or undertreated using CPGs from Diabetes Canada 2018 (DC18), the Endocrine Society 2019 (ES19) and the American Diabetes Association 2021 (ADA21). Results: Of the 318 geriatric patients (median age 84 years, 54% women, 66% in poor health), 46%, 25% and 82% were appropriately treated, while 38%, 57% and 0% were overtreated, based on DC18, ES19 and ADA21, respectively. Conclusion: Large discrepancy of glycaemic control appropriateness was detected across these CPGs and concerned mainly overtreatment. This finding relates to the absence in ADA21 of a lower HbA1c value, which may be an obstacle to the prevention of hypoglycaemia.

A palliative care approach (PCA), including advanced care planning (ACP), should be considered for patients with limited life expectancy. The Belgian Palliative Care Indicators Tool (Be-PICT) has been released to help identify patients who may benefit from such approach. This study aimed at measuring 1-year mortality and describe the quality of life in older inpatients, according to baseline Be-PICT results. Prospective multicentre cohort study in older patients (≥ 75 years) admitted at geriatrics and cardiology wards of four Belgian hospitals. The palliative profile was defined as a positive Be-PICT.1, defined by the presence of its three criteria, i.e. a negative physician's answer to the surprise question '', ≥ 1 poor health indicator and ≥ 1 life-limiting condition. Of the 379 patients (50% aged ≥85 years; 51% female), 52 (14%) presented a palliative profile and 83 (23%) died within 1 year. Be-PICT.1 showed the following characteristics to predict 1-year mortality: sensitivity 0.54, specificity 0.83, positive and negative predictive values 0.48 and 0.86, positive and negative likelihood ratios 3.22 and 0.55. The patients with a palliative profile were at higher mortality risk (hazard ratio 4.79 p < 0.001) and 1-year mortality rate (45%). Not using the SQ allowed to improve sensitivity to include a larger number of patients who may benefit from ACP and PCA. Be-PICT.1 is a simple case-finding tool to identify older inpatients being at high mortality risk and candidates for ACP and PCA.

Inappropriate polypharmacy has been linked with adverse outcomes in older, multimorbid adults. OPERAM is a European cluster-randomized trial aimed at testing the effect of a structured pharmacotherapy optimization intervention on preventable drug-related hospital admissions in multimorbid adults with polypharmacy aged 70 years or older. Clinical results of the trial showed a pattern of reduced drug-related hospital admissions, but without statistical significance. In this study we assessed the cost-effectiveness of the pharmacotherapy optimisation intervention. We performed a pre-planned within-trial cost-effectiveness analysis (CEA) of the OPERAM intervention, from a healthcare system perspective. All data were collected within the trial apart from unit costs. QALYs were computed by applying the crosswalk German valuation algorithm to EQ-5D-5L-based quality of life data. Considering the clustered structure of the data and between-country heterogeneity, we applied Generalized Structural Equation Models (GSEMs) on a multiple imputed sample to estimate costs and QALYs. We also performed analyses by country and subgroup analyses by patient and morbidity characteristics. Trial-wide, the intervention was numerically dominant, with a potential cost-saving of CHF 3'588 (95% confidence interval (CI): -7'716; 540) and gain of 0.025 QALYs (CI: -0.002; 0.052) per patient. Robustness analyses confirmed the validity of the GSEM model. Subgroup analyses suggested stronger effects in people at higher risk. We observed a pattern towards dominance, potentially resulting from an accumulation of multiple small positive intervention effects. Our methodological approaches may inform other CEAs of multi-country, cluster-randomized trials facing presence of missing values and heterogeneity between centres/countries.

The diagnosis of heart failure (HF) is an important problem in primary care. We previously demonstrated a 74% increase in registered HF diagnoses in primary care electronic health records (EHRs) following an extended audit procedure. What remains unclear is the accuracy of registered HF pre-audit and which EHR variables are most important in the extended audit strategy. This study aims to describe the diagnostic HF classification sequence at different stages, assess general practitioner (GP) HF misclassification, and test the predictive performance of an optimized audit. This is a secondary analysis of the OSCAR-HF study, a prospective observational trial including 51 participating GPs. OSCAR used an extended audit based on typical HF risk factors, signs, symptoms, and medications in GPs' EHR. This resulted in a list of possible HF patients, which participating GPs had to classify as HF or non-HF. We compared registered HF diagnoses before and after GPs' assessment. For our analysis of audit performance, we used GPs' assessment of HF as primary outcome and audit queries as dichotomous predictor variables for a gradient boosted machine (GBM) decision tree algorithm and logistic regression model. Of the 18 011 patients eligible for the audit intervention, 4678 (26.0%) were identified as possible HF patients and submitted for GPs' assessment in the audit stage. There were 310 patients with registered HF before GP assessment, of whom 146 (47.1%) were judged not to have HF by their GP (over-registration). There were 538 patients with registered HF after GP assessment, of whom 374 (69.5%) did not have registered HF before GP assessment (under-registration). The GBM and logistic regression model had a comparable predictive performance (area under the curve of 0.70 [95% confidence interval 0.65-0.77] and 0.69 [95% confidence interval 0.64-0.75], respectively). This was not significantly impacted by reducing the set of predictor variables to the 10 most important variables i

We estimated the effect of pneumococcal vaccination (PV) on acute lower respiratory tract infections (LRTIs) in various age and risk groups using different methods within a causal inference methodological framework. We used data from a general practitioners' morbidity registry for the year 2019. Both traditional statistical methods (regression-based and propensity score methods) and machine learning techniques were deployed. Multiple imputation was used to account for missing data. Relative risks (RRs) with 95% confidence intervals were estimated. Sensitivity analyses were performed to account for the severity of LRTIs and differences in vaccination registration. All methods showed a standardized mean difference below 0.1 for each covariate. No method was found to be superior to another. PV (combination of conjugate and polysaccharide vaccine) had an overall protective effect for severe LRTIs. PV was protective in different age and risk groups, especially in people aged 50-84 years with an intermediate risk group. Using several techniques, PV was found to prevent severe LRTIs and confirmed the recommendations of the Belgian Superior Health Council.

No abstract available