Search

Introduction Although antimuscarinics form the first-line therapy in overactive bladder (OAB), little is known regarding antimuscarinic discontinuation among OAB patients in nursing homes. This study examined treatment patterns and predictors of antimuscarinic discontinuation among long-term nursing home (LTNH) residents with OAB. Methods The study cohort included LTNH residents (defined as residents staying ≥ 101 consecutive days) from the Minimum Data Set linked 2013–2015 Medicare claims data. Patients with OAB were defined by OAB-related claims and medication codes. Treatment patterns and discontinuation (medication gap ≥ 30 days) were characterized by examining OAB-specific antimuscarinics prescribed during LTNH stays. The Andersen Behavioral Model was used to identify predisposing, enabling and need factors that predict discontinuation. Kaplan-Meier curves and multivariable Cox proportional hazards regression model were used to assess the unadjusted and adjusted times to discontinuation, respectively, among different antimuscarinics. Results The mean age of the study cohort (n = 11,012) was 81.6 years (± 8.5), 74.6% were female, and 89.8% were non-Hispanic White. The mean duration of nursing home stay was 530.1 (± 268.4) days. The most commonly prescribed OAB-specific antimuscarinic was oxybutynin (69.8%). Overall, 66.5% of the study cohort discontinued the index antimuscarinic. Multivariable Cox PH regression analysis revealed that compared to LTNH residents who initiated treatment with oxybutynin, treatment discontinuation was lower with solifenacin or fesoterodin and discontinuation was more frequent when treatment was initiated with tolterodine, darifenacin or trospium compared with oxybutynin. In addition, several need factors (comorbidities, medication use and anticholinergic burden, etc.) were associated with antimuscarinic discontinuation. Conclusion About two-thirds of LTNH residents with OAB discontinued their index antimuscarinic during their nursing home stay. There was significant variation in discontinuation based on the index antimuscarinic agent with lowest risk of discontiuation with solifenacin and fesoterodin. Concerted efforts to optimize antimuscarinic use are needed to improve the management of OAB in nursing homes. Electronic Supplementary Material The online version of this article (10.1007/s12325-020-01412-z) contains supplementary material, which is available to authorized users.

Background Atypical antipsychotics are used as monotherapy or as augmentation therapy for management of late-life depression. However, little is known about utilization pattern of atypical antipsychotics in depression in the elderly. Objective The objective of this study was to examine the prescribing practices and predictors of atypical antipsychotics and augmentation therapy in elderly outpatient visits with depression. Methods This retrospective cross-sectional study used the National Ambulatory Medical Care Survey (NAMCS) and outpatient department component of the National Hospital Ambulatory Medical Care Survey (NHAMCS) data from 2010 and 2011. The study included elderly (age ≥ 65years) outpatient visits with depression. Descriptive weighted analysis was performed to determine the prescribing practices of atypical antipsychotics and multivariable logistic regression analyses were performed to determine the factors associated with the prescription of atypical antipsychotics and augmentation therapy in outpatient visits. Results According to the national surveys, there were about 22 million outpatent visits for depression during the study period; atypical antipsychotics were prescribed in 3.53% (95% CI, 2.02–5.04) of the visits. Among depression patients who were using antidepressants, 4.86% (95% CI, 3.07–6.04) used as an augmentation therapy. Multivariable regression analysis revealed that Hispanics (odds ratio [OR] = 0.33; 95% CI, 0.12–0.90) were associated with decreased likelihood of antipsychotic prescription, whereas personality disorder and obsessive compulsive disorder (OR = 10.23; 95% CI, 2.80–37.40) were associated with increased likelihood of prescribing antipsychotics. For augmentation therapy, Hispanics (OR = 0.06; 95% CI, 0.02–0.24) and primary physicians (OR = 0.24; 95% CI, 0.09–0.69) were associated with decreased likelihood; and obsessive compulsive disorder and personality disorder (OR = 7.56; 95% CI, 1.75–32.69) were associated with increased likelihood of antipsychotic prescription. Conclusion Less than 4% of the elderly visits with depression were prescribed atypical antipsychotics. Both clinical and demographic factors contribute to antipsychotic prescribing in elderly patients with depression.

Background This study was designed to adapt the Elixhauser comorbidity index for 4 cancer-specific populations (breast, prostate, lung, and colorectal) and compare 3 versions of the Elixhauser comorbidity score (individual comorbidities, summary comorbidity score, and cancer-specific summary comorbidity score) with 3 versions of the Charlson comorbidity score for predicting 2-year survival with 4 types of cancer. Methods This cohort study used Texas Cancer Registry-linked Medicare data from 2005 to 2011 for older patients diagnosed with breast (n = 19,082), prostate (n = 23,044), lung (n = 26,047), or colorectal cancer (n = 16,693). For each cancer cohort, the data were split into training and validation cohorts. In the training cohort, competing risk regression was used to model the association of Elixhauser comorbidities with 2-year noncancer mortality, and cancer-specific weights were derived for each comorbidity. In the validation cohort, competing risk regression was used to compare 3 versions of the Elixhauser comorbidity score with 3 versions of the Charlson comorbidity score. Model performance was evaluated with c statistics. Results The 2-year noncancer mortality rates were 14.5% (lung cancer), 11.5% (colorectal cancer), 5.7% (breast cancer), and 4.1% (prostate cancer). Cancer-specific Elixhauser comorbidity scores (c = 0.773 for breast cancer, c = 0.772 for prostate cancer, c = 0.579 for lung cancer, and c = 0.680 for colorectal cancer) performed slightly better than cancer-specific Charlson comorbidity scores (ie, the National Cancer Institute combined index; c = 0.762 for breast cancer, c = 0.767 for prostate cancer, c = 0.578 for lung cancer, and c = 0.674 for colorectal cancer). Individual Elixhauser comorbidities performed best (c = 0.779 for breast cancer, c = 0.783 for prostate cancer, c = 0.587 for lung cancer, and c = 0.687 for colorectal cancer). Conclusions The cancer-specific Elixhauser comorbidity score performed as well as or slightly better than the cancer-specific Charlson comorbidity score in predicting 2-year survival. If the sample size permits, using individual Elixhauser comorbidities may be the best way to control for confounding in cancer outcomes research. Cancer 2018;124:2018-25. © 2018 American Cancer Society.

Objectives To compare the performance of the health-related quality of life-comorbidity index (HRQoL-CI) with the diagnosis-based Charlson, Elixhauser, and combined comorbidity scores and the prescription-based chronic disease score (CDS) in predicting HRQoL in Agency of Healthcare Research and Quality priority conditions (asthma, breast cancer, diabetes, and heart failure). Methods The Medical Expenditure Panel Survey (2005 and 2007-2011) data was used for this retrospective study. Four disease-specific cohorts were developed that included adult patients (age 18 y and above) with the particular disease condition. The outcome HRQoL [physical component score (PCS) and mental component score (MCS)] was measured using the Short Form Health Survey, Version 2 (SF-12v2). Multiple linear regression analyses were conducted with the PCS and MCS as dependent variables. Comorbidity scores were compared using adjusted R. Results Of 140,046 adult participants, the study cohort included 7436 asthma (5.3%), 1054 breast cancer (0.8%), 13,829 diabetes (9.9%), and 937 heart failure (0.7%) patients. Among individual scores, HRQoL-CI was best at predicting PCS and MCS. Adding prescription-based comorbidity scores to HRQoL-CI in the same model improved prediction of PCS and MCS. HRQoL-CI+CDS performed the best in predicting PCS (adjusted R): asthma (43.7%), breast cancer (31.7%), diabetes (32.7%), and heart failure (20.0%). HRQoL-CI+CDS and Elixhauser+CDS had superior and comparable performance in predicting MCS (adjusted R): asthma (HRQoL-CI+CDS=20.1%; Elixhauser+CDS=19.6%), breast cancer (HRQoL-CI+CDS=12.9%; Elixhauser+CDS=14.1%), diabetes (HRQoL-CI+CDS=17.7%; Elixhauser+CDS=17.7%), and heart failure (HRQoL-CI+CDS=18.1%; Elixhauser+CDS=17.7%). Conclusions HRQoL-CI performed best in predicting HRQoL. Combining prescription-based scores to diagnosis-based scores improved the prediction of HRQoL.

Antimuscarinic medications are the first-line pharmacological treatment for overactive bladder (OAB); however, little is known about the utilization pattern of antimuscarinic agents in elderly patients with OAB. This study examined the prevalence and predictors of antimuscarinic medication prescribing in elderly patients with OAB, using national ambulatory survey data. This cross-sectional study utilized the 2009–2010 National Ambulatory Medical Care Survey and the outpatient component of the National Hospital Ambulatory Medical Care Survey. The study included patients aged ≥65 years diagnosed with OAB based on the International Classification of Diseases. Antimuscarinic medications were operationally defined using the American Hospital Formulary Service classification and identified using Multum Lexicon codes. Descriptive statistics using sampling weights were used to estimate the prevalence of antimuscarinic medication prescription, while multivariable logistic regression within the conceptual framework of the Anderson Behavioral Model was used to identify the factors associated with antimuscarinic medication prescription in elderly patients with OAB. According to the national surveys, 2.18 million (95 % confidence interval [CI] 1.62–2.75) elderly outpatient visits were made for OAB, of which 0.90 million (41.43 %) visits involved prescribing of antimuscarinic medications. The most frequently prescribed drugs were solifenacin (14.25 %), oxybutynin (10.50 %), and tolterodine (6.89 %). Multivariable analysis revealed that patients ≥85 years of age (odds ratio [OR] 3.50, 95 % CI 1.23–9.92) were more likely to receive antimuscarinic medications, and the South region (OR 2.78, 95 % CI 1.01–7.66) increased the likelihood of receiving antimuscarinic medications in elderly patients with OAB. This study found that antimuscarinic medications are commonly prescribed for elderly patients with OAB and there is variation in antimuscarinic use across age and region.

To examine the association between the use of anticholinergic drugs and the health-related quality of life (HRQoL) among community-dwelling older adults with dementia.This was a retrospective, longitudinal, cohort study of older adults aged 65 years and above diagnosed with dementia using Medical Expenditure Panel Survey data. Anticholinergic drug exposure was measured using the Anticholinergic Drug Scale. The HRQoL measures of interest were Physical Component Score (PCS) and Mental Component Score (MCS). Two separate unweighted multiple linear regression analyses were performed to determine the association of anticholinergic drugs with PCS and MCS, while adjusting for other factors and baseline HRQoL measures.The study included 112 patients with dementia; 15.18% of whom used anticholinergic drugs. The majority of the patients were between the ages of 65 and 79 years (53%), women (57%), and had poor or low family income (65%). After controlling for other factors and baseline HRQoL, anticholinergic drug use was associated with 7.48 unit reductions in PCS (P 0.01), whereas no association was found between anticholinergic drug use and MCS. Baseline HRQoL measures were found to be significant in both models.Anticholinergic drugs are associated with reduced PCS of HRQoL in older adults with dementia. The study findings suggest the need for carefully monitoring the health status of elderly patients when prescribing anticholinergic agents in this vulnerable population.

People with dementia are sensitive to cognitive side effects of anticholinergic drugs. However, little is known about the prevalence of anticholinergic medications and its predictors in a nationally representative sample of community-based elderly dementia patients in the USA. The objectives of the study were to determine the prevalence and predictors of anticholinergic drugs use in elderly dementia patients. The study involved retrospective analysis of the 2005–2009 Medical Expenditure Panel Surveys (MEPS), a nationally representative sample of the non-institutionalized US population. The study evaluated annual prevalence of anticholinergic drug use during the study period and factors associated with the use of anticholinergics among community-dwelling persons aged 65 and older with dementia. The anticholinergic drugs were identified using the Anticholinergic Drug Scale (ADS). Multiple logistic regression within the conceptual framework of the Anderson Behavioral Model was performed to identify predictors associated with clinically significant anticholinergic drug (ADS level 2 or 3) use. According to the MEPS, there were a total of 1.56 [95 % confidence interval (CI) 1.34, 1.73] million elderly dementia patients annually during the study period. Approximately, 23.3 % (95 % CI 19.2, 27.5) of elderly dementia patients used clinically significant anticholinergic agents (ADS level 2 or 3). Among the need factors, elderly dementia patients having mood disorders [odds ratio (OR) 2.19; 95 % CI 1.19, 4.06] and urinary incontinence (OR 6.58; 95 % CI 2.84, 15.29) were more likely to use drugs with clinically significant anticholinergic activities. Of the enabling factors, the odds of receiving higher-level anticholinergic drugs were significantly lower for patients who resided in the West region (OR 0.41; 95 % CI 0.17, 0.95) compared to the reference group, Northeast. Over one in five elderly dementia patients used drugs with clinically significant anticholinergic effects. Mood disorder, urinary incontinence, and region were significantly associated with use of these drugs. Concerted efforts are needed to improve the quality of medication use by focusing on clinically significant anticholinergic agents.