Longitudinal medication adherence group-based trajectories of aging adults in the US: A retrospective analysis using monthly proportion of days covered calculations.

BACKGROUND: It is thought that half of the patients with chronic conditions are not adherent to their medications, which contributes to significant health and economic burden. Many studies estimate medication non-adherence by implementing a threshold of ≥80% of Proportion of Days Covered (PDC), categorizing patients as either adherent or non-adherent. Healthcare quality metrics pertaining to medication use are based on this dichotomous approach of medication adherence, including the Medicare Part D Star Ratings. Among others, the Medicare Part D Star Ratings rewards part D plan sponsors with quality bonus payments based on this dichotomous categorization of beneficiaries' medication adherence. OBJECTIVES: Describe the longitudinal adherence trajectories of adults ≥65 years of age covered by Medicare for 3 classes of drugs in the Part D Star Ratings: diabetes medications, statins, and select antihypertensives. METHODS: This study used Medicare healthcare administrative claims data linked to participants from the Health Retirement Study between 2008 and 2016. Group-based trajectory models (GBTM) elicited the number and shape of adherence trajectories from a sample of N = 11,068 participants for the three pharmacotherapeutic classes considered in this study. Medication adherence was estimated using monthly PDC. RESULTS: GBTM were estimated for the sample population taking antihypertensives (n = 7,272), statins (n = 8,221), and diabetes medications (n = 3,214). The hypertension model found three trajectories: high to very high adherence (47.55%), slow decline (32.99%), and rapid decline (19.47%) trajectories. The statins model found 5 trajectories: high to very high adherence (35.49%), slow decline (17.12%), low then increasing adherence (23.58%), moderate decline (12.62%), and rapid decline (11.20%). The diabetes medications model displayed 6 trajectories: high to very high adherence (24.15%), slow decline (16.84%), high then increasing adherence (25.56%), low then increasing (13.58%), moderate decline (10.60%), and rapid decline (9.27%). CONCLUSIONS: This study showed the fluid nature of long-term medication adherence to the medications considered in the Medicare Part D Star Ratings and how it varies by pharmacotherapeutic class. These challenge previous assumptions about which patients were considered adherent to chronic medications. Policy and methodological implications about medication adherence are discussed.

Development of a quantitative PCR-based method for studying temporal DNA degradation in waterlogged bone.

While several studies have examined temporal DNA degradation in bones collected from terrestrial environments, studies on temporal DNA degradation in bones collected from aquatic environments are limited and mostly based on case studies. The objective of this study was to assess the impact of long-term submersion, aquatic environment, bone type and DNA extraction method on DNA quality and quantity. Bone samples (scapulae and ribs), collected every ~1000 ADD from a freshwater lake and river, underwent DNA extraction via ChargeSwitch® gDNA Plant Kit and organic phenol-chloroform methods, and DNA quantitation using both TaqMan and SYBR Green-based quantitative PCR (qPCR) methods. Results suggest that in both bone types, quality of recovered DNA (i.e., degradation index) declined significantly with increase in submersion time. Among two bone types, quality of recovered DNA from scapulae declined faster than rib samples. There was no significant difference in recovered DNA quantity between bone types, DNA extraction methods, or locations but various interactions between these variables showed significant difference. Overall, it can be concluded that DNA can be extracted from waterlogged bone in sufficient quantity to generate an STR profile up to 4000 ADD.

Economic burden of renal cell carcinoma among older adults in the targeted therapy era.

OBJECTIVE: This study examined the economic burden of renal cell carcinoma (RCC) among older adults. The study also examined healthcare costs by types of resources used and stage at which RCC was diagnosed. METHODS: The study analyzed the Surveillance Epidemiology and End Result-Medicare linked data. We included a prevalent cohort of RCC patients from 2013, diagnosed and continuously enrolled in Medicare from 2005 to 2013. RCC patients were matched to controls selected from a 5% sample of noncancer beneficiaries using propensity score matching to calculate incremental costs. Total healthcare costs (THC) were calculated using a phase-based approach, which classified patients into early, continuing, and late phases of care. Costs were also examined by types of resources used and stage at which RCC was diagnosed. Generalized linear models estimated annual incremental costs per patient. The number of older RCC patients was calculated using SEER-Stat and ProjPrev software. The average incremental THC was multiplied by the estimated number of RCC patients to calculate the total economic burden of RCC among older adults. RESULTS: The study included 10,392 each of RCC and control patients. The average annual THC associated with RCC was $7,419 for all phases, $22,752 for the initial phase, $4,860 for the continuing phase, and $13,232 for the late phase of care. The average THC was $4,584 for patients diagnosed at stage I, $4,727 for stage II, $9,331 for stage III, and $31,637 for stage IV. For patients diagnosed at stages I to III, hospital cost (approximately $1,500-$3,400) was the largest component of THC. For stage IV patients, prescription drug cost ($11,747) was the largest component of THC. The projected number of older RCC patients in 2015 was 204,256. The annual economic burden of RCC after weighting for proportion of patients diagnosed at various stages was estimated to be $2.1 billion. CONCLUSIONS: RCC was associated with a significant economic burden on Medicare. Healthcare costs associated with RCC varied substantially between early stage and metastatic patients. This research provided a baseline that can be used to assess the economic value of emerging therapies among older RCC patients.

The Effect of Sleep Medication Use and Poor Sleep Quality on Risk of Falls in Community-Dwelling Older Adults in the US: A Prospective Cohort Study.

BACKGROUND: Sleep complaints and the consumption of medications for sleep are common in older adults. Falls are also a significant concern for older adults and sedative use has been identified as a risk factor for falls. Sleep quality is a potential confounder in studies evaluating the relationship between sleep medication use and falls. However, very few studies have assessed the combined impact of sleep medication use and sleep quality on the risk of falls. OBJECTIVE: The objective of this study was to evaluate the association between sleep medication use, poor sleep quality, and falls in community-dwelling older adults. METHODS: This was a multicenter, 6-month prospective cohort study conducted in senior housings settings in central Virginia, USA. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) and a medication review was conducted. Data regarding falls were collected over 6 months by use of a diary. Logistic regression modeling was used to examine the effects of poor sleep quality, sleep medication use, and both, on the risk of falls. RESULTS: Among 113 independently living older adults (mean age ± standard deviation 81.1 ± 8.6), 46.9 % fell at least once during a 6-month period; 62.8 % (n = 71) had poor sleep quality, and 44.2 % (n = 50) used medications or treatments to aid sleep. Compared with participants reporting good sleep quality and no sleep medication use, those who reported poor sleep quality and sleep medication use had an increased risk of falls after adjusting for covariates (odds ratio 3.23, 95 % confidence interval 1.05-9.91). The group with good sleep quality and sleep medication use, as well as the group with poor sleep quality and no sleep medication use had no significantly greater risk for falls compared with the group with good sleep quality and no sleep medication use. CONCLUSION: A combined effect of sleep quality and sleep medication use on the risk of falls suggests that medication effectiveness may be an important factor to consider in understanding the risk of falls associated with sedative medications.

Effect of Renin-Angiotensin system inhibition on cardiovascular events in older hypertensive patients with metabolic syndrome.

OBJECTIVE: Metabolic syndrome (MetS) is associated with cardiovascular disease (CVD). Insulin resistance has been hypothesized as the underlying feature of MetS. Angiotensin converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB) are widely used antihypertensives that may improve insulin sensitivity. The aim of the study is to evaluate the effect of ACEI/ARB on incident CVD events in older hypertensive patients with MetS. MATERIALS/METHODS: We used the Cardiovascular Health Study, a prospective cohort study of individuals>65years of age to evaluate ACEI/ARB use and time to CVD events (including coronary and cerebrovascular events). The study included 777 subjects who had hypertension and ATP III-defined MetS, but free of CVD and diabetes at baseline. Cox regression models were used to evaluate the effect of ACEI/ARB as compared to other antihypertensives on the time to the first CVD events. RESULTS: ACEI/ARB use was associated with a decreased risk of CVD events (adjusted HR=0.658, 95 % C.I. [0.436-0.993]) compared to other antihypertensives. When CVD endpoints were evaluated separately, use of ACEI/ARB was associated with lower rates of angioplasty and coronary events (HR of 0.129 and 0.530 respectively, with 95 % CI [0.017-0.952] and [0.321-0.875]). CONCLUSIONS: ACEI/ARB use was associated with a lower risk of CVD events in older hypertensive patients with MetS, primarily due to a reduction in coronary events. The potential protective effect of ACEI/ARB on CVD events in older individuals with MetS will need further confirmation from prospective studies.

Utilization Patterns of IV Iron and Erythropoiesis Stimulating Agents in Anemic Chronic Kidney Disease Patients: A Multihospital Study.

Intravenous (IV) iron and Erythropoiesis Stimulating Agents (ESAs) are recommended for anemia management in chronic kidney disease (CKD). This retrospective cohort study analyzed utilization patterns of IV iron and ESA in patients over 18 years of age admitted to University Health System Hospitals with a primary or secondary diagnosis of CKD between January 1, 2006 to December 31, 2008. A clustered binomial logistic regression using the GEE methodology was used to identify predictors of IV iron utilization. Only 8% (n = 6678) of CKD patients on ESA therapy received IV iron supplementation in university hospitals. Those receiving iron used significantly less amounts of ESAs. Patient demographics (age, race, primary payer), patient clinical conditions (admission status, severity of illness, dialysis status), and physician specialty were identified as predictors of IV iron use in CKD patients. Use of IV iron with ESAs was low despite recommendations from consensus guidelines. The low treatment rate of IV iron represents a gap in treatment practices and signals an opportunity for healthcare improvement in CKD anemic patients.