Predictors of Skin, Hair, and Nail Supplement Use: Analysis of National Health and Nutrition Examination Survey (NHANES) Cross-Sectional Data.

OBJECTIVES: Approximately half of US adults use dietary supplements, often for dermatologic purposes. When survey respondents in a nationally representative population were asked the reasons for their use of a specific supplement, 87% chose "for healthy skin, hair, and nails." Despite widespread use, supplements have potential risks and lack regulatory safeguards. Because most supplement users choose to use them without the advice of a healthcare professional, it is important to identify factors predicting use. This study examined demographic predictors of skin, hair, and nail supplement use among 2015-2016 US National Health and Nutrition Examination Survey respondents, a nationally representative sample. METHODS: Weighted descriptive analysis using χ2 tests examined group differences among respondents who took skin, hair, and nail supplements and those who did not take supplements in the past 30 days. Multivariable logistic regression models were performed to identify predictors of skin supplement use. RESULTS: Statistically significant differences in sex, education, income, and insurance status were observed between dermatologic supplement users and nonsupplement users (P < 0.0001). Factors significantly increasing the likelihood of skin supplement use included age between 30 and 60 years (odds ratio [OR] 1.788, 95% confidence interval [CI] 1.439-2.222), age older than 60 years (OR 4.983, 95% CI 3.838-6.469), having a college degree or above (OR 2.696, 95% CI 1.952-3.724), attending some college or above (OR 1.844, 95% CI 1.364-2.494), having an annual income of >$75,000 (OR 1.285, 95% CI 1.029-1.605), and having health insurance (OR 1.559, 95% CI 1.236-1.967). Male respondents were half as likely to use supplements, compared with females (OR 0.579, 95% CI 0.488-0.687). CONCLUSIONS: Factors such as age, education, income, and sex predict supplement use. Knowledge of such trends may help practitioners counsel patients on potential supplement risks and the many unknowns related to their use. Any patient could be using skin, hair, and nail supplements over the counter, including pregnant and older adult populations, as well as generally healthy patients. This would help protect patients from the possible dangers of supplements, including laboratory test interference and teratogenicity.

Reference equations for evaluation of spirometry function tests in South Asia, and among South Asians living in other countries.

BACKGROUND: There are few data to support accurate interpretation of spirometry data in South Asia, a major global region with a high reported burden of chronic respiratory disease. METHOD: We measured lung function in 7453 healthy men and women aged ≥18 years, from Bangladesh, North India, South India, Pakistan and Sri Lanka, as part of the South Asia Biobank study. First, we assessed the accuracy of existing equations for predicting normal forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1) and FEV1/FVC ratio. Then, we used our data to derive (n=5589) and internally validate (n=1864) new prediction equations among South Asians, with further external validation among 339 healthy South Asians living in Singapore. RESULTS: The Global Lung Initiative (GLI) and National Health and Nutrition Examination Survey consistently overestimated expiratory volumes (best fit GLI-African American, mean±sd z-score: FEV1 -0.94±1.05, FVC -0.91±1.10; n=7453). Age, height and weight were strong predictors of lung function in our participants (p<0.001), and sex-specific reference equations using these three variables were highly accurate in both internal validation (z-scores: FEV1 0.03±0.99, FVC 0.04±0.97, FEV1/FVC -0.03±0.99) and external validation (z-scores: FEV1 0.31±0.99, FVC 0.24±0.97, FEV1/FVC 0.16±0.91). Further adjustment for study regions improves the model fit, with highest accuracy for estimation of region-specific lung function in South Asia. CONCLUSION: We present improved equations for predicting lung function in South Asians. These offer the opportunity to enhance diagnosis and management of acute and chronic lung diseases in this major global population.

Demographics of Dietary Supplement Use for Skin: An Analysis of NHANES Cross-Sectional Data.

Dietary supplement use is common, with reported use by over half of US adults. This cross-sectional study utilized 2015–2016 National Health and Nutrition Examination Survey data. A total of 9971 respondents were surveyed, of which 3704 reported taking dietary supplements for "healthy skin, hair, and nails." Of those reporting skin supplement use, the majority had health insurance and some college education or above. Many respondents were 19 or younger, were of non-Hispanic White race, had a household income of more than $100,000 per year, and some were pregnant. More than two-thirds of the respondents decided to take the supplements on their own rather than at the advice of a healthcare professional, which is quite alarming. This study helps identify demographic groups more likely to consume skin, hair, and nail supplements. Overall, physicians should educate their patients on dietary supplements to avoid drug-supplement interactions and address the factors that influence the use of over-the-counter skin supplements. J Drugs Dermatol. 2022;21(4):434-436.doi:10.36849/JDD.5744.

Using group-based trajectory modeling to characterize the association of past ACEIs/ARBs adherence with subsequent statin adherence patterns among new statin users.

BACKGROUND: Despite well-documented benefits, statin adherence remains suboptimal. Studies have suggested that previous adherence to other chronic medications is a strong predictor of future adherence to newly initiated statins. Group-based trajectory modeling (GBTM) has been applied as a method to longitudinally depict the dynamic nature of adherence. OBJECTIVES: This study aimed to examine the association between patients' adherence patterns to newly initiated statins and previous adherence trajectories of angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) using GBTM. METHODS: This retrospective cohort study was conducted among continuously enrolled statin initiators using claims data. Patients were included if they had ACEI/ARB use within 1 year before statin initiation (preindex period). Monthly adherence to ACEIs/ARBs was calculated during the preindex period and monthly adherence to statins was assessed 1 year after statin initiation using proportion of days covered (PDC). The monthly PDCs were modeled as a longitudinal response in a logistic GBTM to provide distinct patterns of adherence for ACEIs/ARBs and statins, separately. A multinomial logistic regression was conducted to determine an association between ACEI/ARB adherence trajectories and future statin trajectories, controlling for patient characteristics. RESULTS: A total of 1078 patients were categorized into 4 distinct statin adherence trajectories: adherent (40.8%), gradual decline (37.4%), gaps in adherence (13.9%), and rapid decline (7.9%). Patients were further categorized into 4 groups on the basis of their distinct past ACEIs/ARBs trajectories: adherent (43%), gaps in adherence (29%), delayed nonadherence (15.2%), and gradual decline (12.8%). In the multinomial logistic regression, patients in the gaps in adherence or gradual decline groups were more likely to follow similar trajectories for future statin use than the adherent trajectory. CONCLUSION: Previous adherence trajectories of ACEIs/ARBs may predict future adherence patterns for newly initiated statins. Knowledge of past medication-taking behavior could provide valuable information for developing tailored interventions to improve adherence.

Predictors of adherence to direct oral anticoagulants after cardiovascular or bleeding events in Medicare Advantage Plan enrollees with atrial fibrillation.

BACKGROUND: Direct oral anticoagulants (DOACs) are recommended for patients with atrial fibrillation (AF) given their improved safety profile. Suboptimal adherence to DOACs remains a significant concern among individuals with AF. However, the extent of adherence to DOACs following a cardiovascular or bleeding event has not been fully evaluated. OBJECTIVE: To evaluate the pattern of adherence trajectories of DOACs after a cardiovascular or bleeding event and to investigate the sociodemographic and clinical predictors associated with each adherence trajectory by using claims-based data. METHODS: This retrospective study was conducted among patients with AF prescribed with DOACs (dabigatran/apixaban/rivaroxaban) between July 2016 and December 2017 and who were continuously enrolled in the Texas-based Medicare Advantage Plan. Patients who experienced a cardiovascular or bleeding event while using the DOACs were further included in the analysis. The sample was limited to patients who experienced a clinical event such as a cardiovascular or bleeding event while using the DOACs. The clinical events considered in this study were cardiovascular (stroke, congestive heart failure, myocardial infarction, systemic embolism) and bleeding events. To assess adherence patterns, each patient with a DOAC prescription was followed up for a year after experiencing a clinical event. The monthly adherence to DOACs after these events was evaluated using the proportion of days covered (PDC). A group-based trajectory model incorporated the monthly PDC to classify groups of patients based on their distinct patterns of adherence. Predictors associated with each trajectory were assessed using a multinomial logistic regression model, with the adherent trajectory serving as the reference group in the outcome variable. RESULTS: Among the 694 patients with AF who experienced clinical events after the initiation of DOACs, 3 distinct adherence trajectories were identified: intermediate nonadherent (30.50%), adherent (37.7%), and low adherent (31.8%); the mean PDC was 0.47 for the intermediate nonadherent trajectory, 0.93 for the adherent trajectory, and 0.01 for low adherent trajectory. The low-income subsidy was significantly associated with lower adherence trajectories (odds ratio [OR] = 4.81; 95% CI = 3.07-7.51) and with intermediate nonadherent trajectories (OR = 1.57; 95% CI = 1.06-2.34). Also, nonsteroidal anti-inflammatory drug use was significantly associated with lower adherence trajectories (OR = 5.10; 95% CI = 1.95-13.36) and intermediate nonadherent trajectories (OR = 3.17; 95% CI = 1.26-7.93). Other predictors significantly associated with both nonadherent trajectories are type of DOACs (OR = 0.53; 95% CI = 0.35-0.79), presence of coronary artery disease (OR = 1.89; 95% CI = 1.01-3.55), and having 2 or more clinical events (OR = 1.65; 95% CI = 1.09-2.50). CONCLUSIONS: Predictors identified provide valuable insights into the suboptimal adherence of DOACs among Medicare Advantage Plan enrollees with AF, which can guide the development of targeted interventions to enhance adherence in this high-risk patient population.

Trajectories of adherence to ACEI/ARB medications following a motivational interviewing intervention among Medicare Advantage beneficiaries in Texas.

OBJECTIVES: To assess the impact of student telephone motivational interviewing intervention on angiotensin-converting enzyme inhibitors/angiotensin-receptor blockers (ACEI/ARBs) adherence trajectories and identify predictors of each trajectory. METHODS: The intervention group included continuously enrolled Medicare Advantage Plan patients non-adherent to ACEI/ARBs vs the control group (1:2 ratio). The intervention was tailored by pre-intervention trajectories and included an initial and five follow-up calls. Adherence was measured 6 months after initial calls using the proportion of days covered (PDC). Monthly PDCs were integrated into a group-based trajectory model and categorized patients into 4-groups. A multinomial logistic regression model was used to evaluate trajectory predictors. RESULTS: The study comprised 240 intervention patients and 480 controls with four trajectories: adherent trajectory 44.2%, gradual improvement in adherence 13.4%, slow decline in adherence 24.1%, and discontinuation 18.3%. Patients with the intervention were less likely to experience a slow decline in adherence than controls (OR: 0.627 [0.401-0.981]). Patients with specialty prescribers' visits, ≥ 1 previous hospitalization, rapid decline in adherence as pre-intervention trajectory, and higher CMS risk score were associated with discontinuation trajectory. CONCLUSION: Intervention patients vs controls had a lower likelihood of following a slow decline in adherence pattern. PRACTICE IMPLICATIONS: This study underscores the importance of individualized interventions and the association between past adherence patterns and post-intervention trajectories.

Adherence to oral endocrine therapy in racial/ethnic minority patients with low socioeconomic status before and during the COVID-19 pandemic.

BACKGROUND: Adherence to oral endocrine therapy (OET) is crucial in ensuring its maximum benefit in the prevention and treatment of hormone receptor-positive (HR +) breast cancer (BC). Medication use behavior is suboptimal especially in racial/ethnic minorities with lower socioeconomic status (SES). AIM: We aimed to assess the impact of the coronavirus disease 2019 (COVID-19) pandemic on OET adherence and identify demographic and/or clinical characteristics associated with nonadherence in racial/ethnic minorities with lower SES. METHOD: A retrospective study was conducted at the Harris Health System in Houston, Texas. Data were collected during the 6 months before and 6 months after the start of the pandemic. The adherence was assessed using the prescription refill data using the proportion of days covered. A multivariable logistic regression model was used to identify demographic/clinical characteristics associated with nonadherence. Eighteen years or older patients on appropriate doses of OET for prevention or treatment of BC were included. RESULTS: In 258 patients, adherence was significantly lower during the pandemic (44%) compared to before the pandemic (57%). The demographic/clinical characteristics associated with OET nonadherence before the pandemic were Black/African American, obesity/extreme obesity, prevention setting, tamoxifen therapy, and 4 or more years on OET. During the pandemic, prevention setting and those not using home delivery were more likely to be nonadherent. CONCLUSION: OET adherence was significantly reduced during the COVID-19 pandemic in racial/ethnic minority patients with low SES. Patient-centered interventions are necessary to improve OET adherence in these patients.

A Motivational Interviewing Intervention to Improve Adherence to ACEIs/ARBs among Nonadherent Older Adults with Comorbid Hypertension and Diabetes.

BACKGROUND: Hypertension and diabetes mellitus are independent risk factors for cardiovascular diseases. Due to the cardioprotective nature of angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs), they are recommended for patients with comorbid hypertension and diabetes. However, poor adherence to ACEIs/ARBs among older adults is a major public health concern. This study aimed to assess the effectiveness of a telephonic motivational interviewing (MI) intervention conducted by pharmacy students among a nonadherent older population (≥ 65 years old) with diabetes and hypertension. METHODS: Patients continuously enrolled in a Medicare Advantage Plan who received an ACEI/ARB prescription between July 2017 and December 2017 were identified. Group-based trajectory modeling (GBTM) was used to identify distinct patterns of ACEI/ARB adherence during the 1-year baseline period: adherent, gaps in adherence, gradual decline, and rapid decline in adherence. Patients from the three nonadherent trajectories were randomized into MI intervention or control group. The intervention consisted of an initial call and five follow-up calls administered by MI-trained pharmacy students and tailored to the baseline ACEI/ARB adherence trajectories. The primary outcome was adherence to ACEI/ARB during the 6- and 12-month periods post-MI implementation. The secondary outcome was discontinuation, defined as no refills for ACEI/ARB during the 6- and 12-month periods post-MI implementation. Multivariable regression analyses examined the impact of MI intervention on ACEI/ARB adherence and discontinuation while adjusting for baseline covariates. RESULTS: A total of 240 patients in the intervention group and 480 patients as randomly selected controls were included in this study. At 6 months, patients receiving the MI intervention had significantly better adherence (ß = 0.06; p = 0.03) compared with the controls. Linear and logistic regression models also showed patients in the intervention group were more likely to be adherent than controls within 12 months of intervention implementation (ß = 0.06; p = 0.02 and OR: 1.46; 95% CI 1.05-2.04, respectively). MI intervention did not have any significant impact on the ACEI/ARB discontinuation. CONCLUSION: Patients who received the MI intervention were more likely to be adherent at 6 and 12 months following the intervention initiation, despite gaps in the follow-up calls due to COVID-19. Pharmacist-led MI intervention is an effective behavioral strategy to improve medication adherence among older adults and tailoring the intervention to past adherence patterns may enhance the intervention effectiveness. This study was registered with the United States National Institutes of Health (ClinicalTrials.gov identifier NCT03985098).

The Impact of a Collaborative Care Model on Health Trajectories among Patients with Co-Morbid Depression and Diabetes: The INDEPENDENT Study.

Context: Collaborative care models for depression have been successful in a variety of settings, but their success may differ by patient engagement. We conducted a post-hoc analysis of the INDEPENDENT trial to investigate the role of differential engagement of participants on health outcomes over 3 years. Settings and Design: INDEPENDENT study was a parallel, single-blinded, randomised clinical trial conducted at four socio-economically diverse clinics in India. Participants were randomised to receive either active collaborative care or usual care for 12 months and followed up for 24 months. Method: We grouped intervention participants by engagement, defined as moderate (≤7 visits) or high, (8 or more visits) and compared them with usual care participants. Improvements in composite measure (depressive symptoms and at least one of three cardio-metabolic) were the primary outcome. Statistical Analysis: Mean levels of depression and cardio-metabolic measures were analysed over time using computer package IBM SPSS Statistics 25. Results: The composite outcome was sustained the highest in the moderate engagers [27.5%, 95% confidence interval (CI): 19.5, 36.7] and the lowest in high engagers (15.8%, 95% CI: 8.1, 26.8). This pattern was observed for individual parameters - depressive symptoms and glycosylated haemoglobin. Progressive reductions in mean depressive symptom scores were observed for moderate engagers and usual care group from baseline to 36 months. However, in high engagers of collaborative care, mean depressive symptoms were higher at 36 months compared to 12 months. Conclusion: Sustained benefits of collaborative care were larger in participants with moderate engagement compared with high engagement, although a majority of participants relapsed on one or more outcome measures by 36 months. High engagers of collaborative care for co-morbid depression and diabetes may need light touch interventions for longer periods to maintain health and reduce depressive symptoms.

SARS-CoV-2 infection and its effects on the endocrine system.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing corona virus disease 2019 (COVID-19) can infect multiple tissues, including endocrine organs, such as the pancreas, adrenal, thyroid, and adipose tissue. The main receptor for SARS-CoV-2, ACE2, is ubiquitously expressed in the cells of the endocrine organs and accordingly, the virus has been detected in various amounts in all endocrine tissues in post-mortem samples from COVID-19 patients. The infection with SARS-CoV-2 may directly lead to organ damage or dysfunction, such as hyperglycaemia or in rare cases, new-onset diabetes. Furthermore, an infection with SARS-CoV-2 may have indirect effects affecting the endocrine system. The exact mechanisms are not yet completely understood and have to be further investigated. Conversely, endocrine diseases may affect the severity of COVID-19 and emphasis has to be laid on reducing the prevalence, or enhance the treatment, of these often non-communicable diseases in the future.

Glycemic index of a nutritional supplement designed for people with chronic kidney disease.

The study was carried out to measure the glycemic index (GI) of an oral food supplement for people with CKD as well as on patients on maintenance dialysis. The study was conducted as per international protocols for testing GI, was approved by the local institutional ethics committee, and was registered with the Clinical Trial Registry of India (CTRI). This was a crossover randomized controlled study which enrolled 15 participants between the ages of 18 and 45 years. The participants were randomly allotted to one group that consumed either the reference food (27.5 g of glucose monohydrate) or 118 g of the nutritional supplement which contained 25 g of available carbohydrates. Fasting capillary blood samples as well as blood samples at different time intervals as per the GI protocol, after consumption of either the supplement or the reference food were taken from the participants. Each testing day was separated by a 3-day washout period. GI was calculated from the incremental area under the blood glucose response elicited by the nutritional supplement as a percentage of the response after the consumption of 25 g of glucose (27.5 g of glucose monohydrate) by the same participant using a standard formula. The GI of the nutritional supplement was calculated to be 10.3 ± 2.0 which is considered to be low as per international GI testing standards. The product was created to supplement the diet of people with CKD at different stages and to help prevent the progression from CKD to ESRD as well as the risk for CVD. This product was found to have a low GI which is desirable for people with CKD as well as diabetics in general who are at risk for developing CKD.

Group based trajectory modeling to assess adherence to oral anticoagulants among atrial fibrillation patients with comorbidities: a retrospective study.

BACKGROUND: Poor adherence to oral anticoagulants is a significant problem in atrial fibrillation (AF) patients with comorbidities as it increases the risk for cardiac and thromboembolic events. AIM: The primary objective was to evaluate adherence to direct oral anticoagulants (DOACs) or warfarin using group-based trajectory modeling (GBTM). The secondary objective was to identify the predictors of adherence to oral anticoagulants. Finally, to report the drug interactions with DOACs/warfarin. METHOD: This retrospective study was conducted among continuously enrolled Medicare Advantage Plan members from January 2016-December 2019. AF patients with comorbid hypertension, diabetes and hyperlipidemia using warfarin/DOACs were included. Monthly adherence to DOAC/warfarin was measured using proportion of days covered (PDC) and then modeled in a logistic GBTM to identify the distinct patterns of adherence. Logistic regression model was conducted to identify the predictors of adherence to oral anticoagulants adjusting for all baseline characteristics. Concomitant use of DOACs/warfarin with CYP3A4,P-gp inhibitors were measured. RESULTS: Among 317 patients, 137 (43.2%) and 79 (24.9%) were DOAC, and warfarin users, respectively. The adherence trajectory model for DOACs included gradual decline (40.4%), adherent (38.8%), and rapid decline (20.8%). The adherence trajectories for warfarin adherence included gradual decline (8.9%), adherent (59.4%), and gaps in adherence (21.7%). Predictors of adherence included type of oral anticoagulant, stroke risk score, low-income subsidy, and baseline PDC. CYP3A4,P-gp drugs were co-administered with DOACs /warfarin resulting in adverse events. CONCLUSION: Adherence to oral anticoagulants is suboptimal. Interventions tailored according to past adherence trajectories may be effective in improving patient's adherence.

Evaluating adherence to concomitant diabetes, hypertension, and hyperlipidemia treatments and intermediate outcomes among elderly patients using marginal structural modeling.

PURPOSE: Medication adherence to concomitant oral antidiabetics, statins, and renin-angiotensin system (RAS) antagonists (triple therapy) is vital to manage glycated hemoglobin (A1C) and low-density lipoprotein cholesterol (LDL-C) control among patients with comorbid diabetes, hyperlipidemia, and hypertension. The objective of the current study was to evaluate the association between adherence to concomitant triple therapy and A1C as well as LDL-C outcomes, among elderly patients using marginal structural modeling. METHODS: A retrospective cohort study with patients on concurrent triple therapy was conducted using a Texas Medicare Advantage database from January 2016 until December 2019. Medication adherence to concurrent triple therapy was measured every 6 months using proportion of days covered (PDC) to determine the different adherence groups. A1C and LDL-C control was also measured every 6 months. A marginal structural model controlling for baseline covariates and time-varying confounders affected by prior adherence was conducted to evaluate the association between adherence to concomitant triple therapy and A1C and LDL-C control. RESULTS: The LDL-C cohort was comprised of 4803 patients and the A1C cohort was comprised of 5314 patients on triple therapy. Patients who were adherent to triple therapy [odds ratio(OR):1.84, 95% confidence interval (CI): 1.62-2.10] and adherent to double therapy (OR:1.42, 95% CI: 1.24-1.62) were more likely to have their LDL-C in control as compared to patient's adherent to monotherapy/none. Similarly, patients who were adherent to triple therapy (OR:1.30, 95% CI: 1.11-1.52) and adherent to double therapy (OR:1.32, 95% CI: 1.12-1.55) were more likely to have their A1C in control as compared to patient's adherent to monotherapy/none. CONCLUSION: The current study demonstrated the beneficial effects of adherence to concurrent oral antidiabetics, statins, and RAS antagonists among elderly patients in a real-world setting.

Identifying the predictors of adherence to oral endocrine therapy in racial/ethnic minority patients with low socioeconomic status.

Background Adherence to oral endocrine therapy (OET) is crucial in ensuring its maximum benefit in prevention and treatment of hormone receptor-positive (HR+) breast cancer (BC) in patients. Medication use behavior is suboptimal especially in racial/ethnic minorities of lower socioeconomic status (SES). We aimed to assess the OET adherence and its predictors in racial/ethnic minority patients of lower SES. Aim We aimed to assess the OET adherence and determine the predictors of OET nonadherence in racial/ethnic minority patients of lower SES. Method A retrospective study was conducted at the Harris Health System in Houston, Texas. Since the study period included the COVID-19 pandemic, data was collected during the 6 months prior and 6 months after the start of the pandemic. The adherence was assessed using the prescription refill data using the proportion of days covered. Multivariable logistic regression model was used to identify predictors of nonadherence. Eighteen years or older patients on appropriate doses of OET for prevention or treatment of BC were included. Result In 258 patients, the adherence was significantly lower during the pandemic (44%) compared to before the pandemic (57%). The predictors of OET nonadherence before the pandemic were Black/African American, obesity/extreme obesity, prevention setting, tamoxifen therapy, and 4 or more years on OET. During the pandemic, prevention setting and those not using home delivery were more likely to be nonadherent. Conclusion Racial/ethnic minority patients of lower SES, especially African Americans and those using OET for prevention of BC, require individualized interventions to improve adherence.

Patterns of Lipid Lowering Therapy Use Among Older Adults in a Managed Care Advantage Plan in the United States.

Background: The prevalence of cardiovascular events is increasing. There are many new lipids lowering therapies available in recent years. Increased evidence through literature and guidelines suggests that the use of lipid lowering therapy (LLT) benefits patients who are at risk for cardiovascular events.Objective: The objective of this study was to describe the current LLT use as well as patterns of treatment modification among adults ≥ 65 years.Methods: A retrospective analysis of administrative claims data between January 2016 and May 2018 was conducted. Patients with a LLT refill and continuous enrollment during 1-year prior and 1-year follow-up were identified. The treatment episodes captured were interruption of therapy, intensity changes, dose changes, treatment augmentation, switching, and discontinuation. An analysis of treatment patterns among patients ≥75 years was also performed.Results: The study included 14,360 patients with a LLT of which 99% of patients were on statins as monotherapy or combination. Overall non-statin therapy use either as monotherapy or combination was 2.1%. There were significant differences among new initiators and existing users of therapy. Among prevalent users 57.4% had no changes in the follow-up period, 13.6% interrupted therapy, and 6.6% discontinued. Among new users, 47.9% patients had interrupted therapy, 25% had no changes, and 21.9% discontinued therapy.Conclusion: Most patients were on monotherapy and statins with low non-statin use. The new users among them were more likely to discontinue and interrupt therapy, highlighting the limitations and issues that older patients face that need to increase adherence.

Blood-derived miRNA levels are not correlated with metabolic or anthropometric parameters in obese pre-diabetic subjects but with systemic inflammation.

As blood-derived miRNAs (c-miRNAs) are modulated by exercise and nutrition, we postulated that they might be used to monitor the effects of a lifestyle intervention (LI) to prevent diabetes development. To challenge this hypothesis, obese Asian Indian pre-diabetic patients were submitted to diet modifications and physical activity for 4 months (LI group) and compared to a control group which was given recommendations only. We have considered 2 periods of time to analyze the data, i.e.; a first one to study the response to the intervention (4 months), and a second one post-intervention (8 months). At basal, 4 months and 8 months post-intervention the levels of 17 c-miRNAs were quantified, selected either for their relevance to the pathology or because they are known to be modulated by physical activity or diet. Their variations were correlated with variations of 25 metabolic and anthropometric parameters and cytokines. As expected, fasting-glycaemia, insulin-sensitivity, levels of exercise- and obesity-induced cytokines were ameliorated after 4 months. In addition, the levels of 4 miRNAs (i.e.; miR-128-3p, miR-374a-5p, miR-221-3p, and miR-133a-3p) were changed only in the LI group and were correlated with metabolic improvement (insulin sensitivity, cytokine levels, waist circumference and systolic blood pressure). However, 8 months post-intervention almost all ameliorated metabolic parameters declined indicating that the volunteers did not continue the protocol on their own. Surprisingly, the LI positive effects on c-miRNA levels were still detected, and were even more pronounced 8 months post-intervention. In parallel, MCP-1, involved in tissue infiltration by immune cells, and Il-6, adiponectin and irisin, which have anti-inflammatory effects, continued to be significantly and positively modified, 8 months post-intervention. These data demonstrated for the first time, that c-miRNA correlations with metabolic parameters and insulin sensitivity are in fact only indirect and likely associated with the level systemic inflammation. More generally speaking, this important result explains the high variability between the previous studies designed to identify specific c-miRNAs associated with the severity of insulin-resistance. The results of all these studies should take into account the level of inflammation of the patients. In addition, this finding could also explain why, whatever the pathology considered (i.e.; cancers, diabetes, neurodegenerative disorders, inflammatory diseases) the same subset of miRNAs is always found altered in the blood of patients vs healthy subjects, as these pathologies are all associated with the development of inflammation.

Health care delivery model in India with relevance to diabetes care.

The Indian healthcare scenario presents a spectrum of contrasting landscapes. Socioeconomic factors, problems with medical infrastructure, insufficiency in the supply of medical requisites, economic disparities due to major differences in diabetes care delivery in the government and private sectors and difficulty in accessing quality health care facilities challenges effective diabetes care in India. The article gives insights into the practical solutions and the proposed White paper model to resolve major challenges faced by the Indian diabetes care sector for effective diabetes care delivered at Jothydev's Diabetes Educational Forum Global Diabetes Convention 2019.

Patient-Reported Barriers to Adherence Among ACEI/ARB Users from a Motivational Interviewing Telephonic Intervention.

Purpose: Hypertension is a common comorbidity among type 2 diabetes mellitus (T2DM) patients, which increases the risk of cardiovascular diseases. Despite the proven benefit of angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) in this population, poor medication adherence is prevalent, resulting in higher complications and mortality rate. Motivational interviewing (MoI) has demonstrated effectiveness in improving medication adherence and identifying barriers. This study aimed to assess and identify patient-reported barriers to adherence to ACEI/ARB from an MoI telephonic intervention conducted by student pharmacist interns. Patients and Methods: This retrospective study was conducted within an MoI intervention customized by past ACEI/ARB adherence trajectories for nonadherent patients with T2DM and hypertension enrolled in a Medicare Advantage Plan. Adherence barriers were extracted from the interviewers' notes by two independent researchers. Descriptive analysis was performed to summarize the overall frequency of barriers as well as across trajectory groups, identified from the initial and follow-up calls. Results: In total, 247 patients received the initial MoI call from which 41% did not communicate any barrier for ACEI/ARB use despite having low adherence. About 59% of the patients reported at least one barrier during the initial call. The most common barriers included forgetfulness, discontinuation by physicians, side effects, multiple comorbidities, polypharmacy, lack of knowledge about disease/medication, and cost issues. The follow-up calls helped with uncovering at least one new barrier for 28 patients who previously communicated a different issue with their medication during the first call. Additionally, 18 patients with initial denial for having any barrier to adherence reported at least one barrier throughout the follow-up calls. Conclusion: This study summarized patient-reported barriers to ACEI/ARB adherence from an MoI telephonic intervention performed among nonadherent patients. Identifying specific barriers for patients may help to further design tailored interventions that address the barriers and improve adherence.

Identifying adherent patients to newly initiated statins using previous adherence to chronic medications.

BACKGROUND: Statins are one of the most frequently prescribed medications in the United States. Despite well-documented benefits in managing hyperlipidemia and reducing cardiovascular risks, statin adherence remains suboptimal. Several effective interventions have been implemented to improve adherence to statins. However, identifying patients who are at risk for developing poor medication adherence at the time of treatment initiation could assist in planning early targeted interventions. Studies have suggested that previous adherence to chronic medications is a strong predictor of future adherence to newly initiated medications. OBJECTIVE: To investigate patients' adherence to newly initiated statins by measuring previous adherence to angiotensin-converting enzyme inhibitors (ACEIs), angiotensin II receptor blockers (ARBs), and oral antidiabetic drugs (OADs). METHODS: A retrospective cohort study was conducted using administrative claims data from January 2016 to May 2018. New statin initiators were identified and included in the study if they were continuously enrolled in the health plan and had at least 1 prescription for ACEIs, ARBs, or OADs 1 year before statin initiation (pre-index period). Baseline adherence to ACEIs/ARBs, OADs, or both was calculated during a 1-year pre-index period using proportion of days covered (PDC) and defined as PDC ≥ 0.80. Adherence to statins was assessed 1 year after statin initiation and was the primary outcome, with a PDC ≥ 0.80 considered as adherent. Patient demographics were measured during the pre-index period. Multivariable logistic regression was conducted for each cohort separately to determine an association between baseline adherence and future statin adherence controlling for various demographic and clinical characteristics. RESULTS: 1,223 ACEI/ARB users, 714 OAD users, and 452 concomitant ACEI/ARB and OAD users were identified. In the regression model, adherence to baseline medications was significantly associated with 1-year adherence to statins (ACEI/ARB users: OR = 1.75, 95% CI = 1.37-2.25; OAD users: OR = 2.02, 95% CI = 1.46-2.79; concomitant ACEI/ARB and OAD users: OR = 1.73, 95% CI = 1.16-2.58). CONCLUSIONS: Past adherence to baseline medications may predict future adherence to newly initiated statins. Identifying patients likely to become nonadherent during treatment initiation could enable health care providers in recognizing individuals at risk of nonadherence and intervene earlier to enhance future adherence. DISCLOSURES: No funding was received for this study. Abughosh reports grants from Regeneron-Sanofi, BMS-Pfizer, and Valeant, unrelated to this work. Majd, Mohan, and Paranjpe have nothing to disclose.

Impact of a motivational interviewing intervention targeting statins on adherence to concurrent hypertension or diabetes medications.

OBJECTIVE: This study explored if a motivational interviewing intervention customized for statins impacted adherence to concomitantly used antidiabetic/antihypertensive medications. METHODS: The intervention was conducted among patients with a history of suboptimal adherence to statins and included 152 patients in intervention and 304 controls. This retrospective study design identified patients with claims for statins and either antidiabetic/antihypertensive medications. The outcome variable was adherence, measured as proportion of days covered ≥ 0.80, to antidiabetic/antihypertensive medications. Multivariable linear and logistic regression evaluated the effect of intervention on adherence to antidiabetic/antihypertensive medications during the 6 months post-intervention. RESULTS: The antidiabetic group had 53 intervention patients and 102 controls. The antihypertensive group had 80 intervention patients and 159 controls. There was no significant improvement in adherence for antidiabetic/antihypertensive medications following the intervention. Adherence at baseline was a significant predictor of adherence post-intervention in the antidiabetic (OR = 6.5;P < 0.0001) and antihypertensive (OR = 4.1; P = 0.0001 & ß = 0.09; P = 0.008) users. Physician specialty (OR = 3.902; P = 0.01& ß = 0.09; P = 0.015) among antidiabetic users and age >70 years (OR = 2.148; P = 0.025) among antihypertensive users were predictors of adherence. CONCLUSION: The intervention targeting statin did not significantly improve antihypertensive/antidiabetic adherence. PRACTICE IMPLICATIONS: Targeted interventions tailored to patient past adherence and specific medications should be explored.