Emerging racial disparities among Medicare beneficiaries and Veterans with metastatic castration-sensitive prostate cancer.

BACKGROUND: Previous studies have shown that Black men receive worse prostate cancer care than White men. This has not been explored in metastatic castration-sensitive prostate cancer (mCSPC) in the current treatment era. METHODS: We evaluated treatment intensification (TI) and overall survival (OS) in Medicare (2015-2018) and Veterans Health Administration (VHA; 2015-2019) patients with mCSPC, classifying first-line mCSPC treatment as androgen deprivation therapy (ADT) + novel hormonal therapy; ADT + docetaxel; ADT + first-generation nonsteroidal antiandrogen; or ADT alone. RESULTS: We analyzed 2226 Black and 16,071 White Medicare, and 1020 Black and 2364 White VHA patients. TI was significantly lower for Black vs White Medicare patients overall (adjusted odds ratio [OR] 0.68; 95% confidence interval [CI] 0.58-0.81) and without Medicaid (adjusted OR 0.70; 95% CI 0.57-0.87). Medicaid patients had less TI irrespective of race. OS was worse for Black vs White Medicare patients overall (adjusted hazard ratio [HR] 1.20; 95% CI 1.09-1.31) and without Medicaid (adjusted HR 1.13; 95% CI 1.01-1.27). OS was worse in Medicaid vs without Medicaid, with no significant OS difference between races. TI was significantly lower for Black vs White VHA patients (adjusted OR 0.75; 95% CI 0.61-0.92), with no significant OS difference between races. CONCLUSIONS: Guideline-recommended TI was low for all patients with mCSPC, with less TI in Black patients in both Medicare and the VHA. Black race was associated with worse OS in Medicare but not the VHA. Medicaid patients had less TI and worse OS than those without Medicaid, suggesting poverty and race are associated with care and outcomes.

An enriched approach to combining high-dimensional genomic and low-dimensional phenotypic data.

We describe an approach for combining and analyzing high-dimensional genomic and low-dimensional phenotypic data. The approach leverages a scheme of weights applied to the variables instead of observations and, hence, permits incorporation of the information provided by the low dimensional data source. It can also be incorporated into commonly used downstream techniques, such as random forest or penalized regression. Finally, the simulated lupus studies involving genetic and clinical data are used to illustrate the overall idea and show that the proposed enriched penalized method can select significant genetic variables while keeping several important clinical variables in the final model.

Using a data-driven approach to define post-COVID conditions in US electronic health record data.

OBJECTIVE: To create a data-driven definition of post-COVID conditions (PCC) by directly measure changes in symptomatology before and after a first COVID episode. MATERIALS AND METHODS: Retrospective cohort study using Optum® de-identified Electronic Health Record (EHR) dataset from the United States of persons of any age April 2020-September 2021. For each person with COVID (ICD-10-CM U07.1 "COVID-19" or positive test result), we selected up to 3 comparators. The final COVID symptom score was computed as the sum of new diagnoses weighted by each diagnosis' ratio of incidence in COVID group relative to comparator group. For the subset of COVID cases diagnosed in September 2021, we compared the incidence of PCC using our data-driven definition with ICD-10-CM code U09.9 "Post-COVID Conditions", first available in the US October 2021. RESULTS: The final cohort contained 588,611 people with COVID, with mean age of 48 years and 38% male. Our definition identified 20% of persons developed PCC in follow-up. PCC incidence increased with age: (7.8% of persons aged 0-17, 17.3% aged 18-64, and 33.3% aged 65+) and did not change over time (20.0% among persons diagnosed with COVID in 2020 versus 20.3% in 2021). For cases diagnosed in September 2021, our definition identified 19.0% with PCC in follow-up as compared to 2.9% with U09.9 code in follow-up. CONCLUSION: Symptom and U09.9 code-based definitions alone captured different populations. Maximal capture may consider a combined approach, particularly before the availability and routine utilization of specific ICD-10 codes and with the lack consensus-based definitions on the syndrome.

Real-world overall survival with abiraterone acetate versus enzalutamide in chemotherapy-naïve patients with metastatic castration-resistant prostate cancer.

BACKGROUND: There are no large head-to-head phase 3 clinical trials comparing overall survival (OS) for abiraterone and enzalutamide. This study used Medicare claims data to compare OS in patients with chemotherapy-naïve metastatic castration-resistant prostate cancer (mCRPC) who initiated abiraterone or enzalutamide. METHODS: This retrospective analysis of the Medicare database (2009-2020) included adult men with ≥1 claim for prostate cancer, metastatic diagnosis, and no prior chemotherapy or novel hormone therapy who initiated first-line (1L) abiraterone or enzalutamide in the index period (September 10, 2014 to May 31, 2017). Cox proportional-hazards models with inverse probability treatment-weighting (IPTW) were used to compare OS between abiraterone- and enzalutamide-treated patients, adjusting for baseline characteristics. Subgroup analyses by baseline characteristics were also conducted. RESULTS: Overall, 5506 patients who received 1L abiraterone (n = 2911) or enzalutamide (n = 2595) were included. Median follow-up was comparable in both cohorts (abiraterone, 19.1 months; enzalutamide, 20.3 months). IPTW-adjusted median OS (95% CI) was 20.6 months (19.7‒21.4) for abiraterone and 22.5 months (21.2‒23.8) for enzalutamide, with an IPTW-adjusted hazard ratio (95% CI) of 1.10 (1.04-1.16). Median OS was significantly shorter for abiraterone versus enzalutamide in patients ≥75 years old; White patients; patients with baseline diabetes, cardiovascular disease, both diabetes and cardiovascular disease, and renal disease; and across all socioeconomic strata. CONCLUSIONS: In the Medicare chemotherapy-naïve mCRPC population, 1L abiraterone was associated with worse OS versus enzalutamide in the overall population and among subgroups with older age and comorbidities, supporting findings from previous real-world studies and demonstrating a disparity in outcomes.

Subphenotypes of self-reported symptoms and outcomes in long COVID: a prospective cohort study with latent class analysis.

OBJECTIVE: To characterise subphenotypes of self-reported symptoms and outcomes (SRSOs) in postacute sequelae of COVID-19 (PASC). DESIGN: Prospective, observational cohort study of subjects with PASC. SETTING: Academic tertiary centre from five clinical referral sources. PARTICIPANTS: Adults with COVID-19 ≥20 days before enrolment and presence of any new self-reported symptoms following COVID-19. EXPOSURES: We collected data on clinical variables and SRSOs via structured telephone interviews and performed standardised assessments with validated clinical numerical scales to capture psychological symptoms, neurocognitive functioning and cardiopulmonary function. We collected saliva and stool samples for quantification of SARS-CoV-2 RNA via quantitative PCR. OUTCOMES MEASURES: Description of PASC SRSOs burden and duration, derivation of distinct PASC subphenotypes via latent class analysis (LCA) and relationship with viral load. RESULTS: We analysed baseline data for 214 individuals with a study visit at a median of 197.5 days after COVID-19 diagnosis. Participants reported ever having a median of 9/16 symptoms (IQR 6-11) after acute COVID-19, with muscle-aches, dyspnoea and headache being the most common. Fatigue, cognitive impairment and dyspnoea were experienced for a longer time. Participants had a lower burden of active symptoms (median 3 (1-6)) than those ever experienced (p<0.001). Unsupervised LCA of symptoms revealed three clinically active PASC subphenotypes: a high burden constitutional symptoms (21.9%), a persistent loss/change of smell and taste (20.6%) and a minimal residual symptoms subphenotype (57.5%). Subphenotype assignments were strongly associated with self-assessments of global health, recovery and PASC impact on employment (p<0.001) as well as referral source for enrolment. Viral persistence (5.6% saliva and 1% stool samples positive) did not explain SRSOs or subphenotypes. CONCLUSIONS: We identified three distinct PASC subphenotypes. We highlight that although most symptoms progressively resolve, specific PASC subpopulations are impacted by either high burden of constitutional symptoms or persistent olfactory/gustatory dysfunction, requiring prospective identification and targeted preventive or therapeutic interventions.

NAFLD and NASH are obesity-independent risk factors in COVID-19: Matched real-world results from the large PINC AI™ Healthcare Database.

BACKGROUND & AIMS: Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) are potential risk factors for severe pneumonia and other infections. Available data on the role of NAFLD/NASH in worsening outcomes for COVID-19 are controversial and might be confounded by comorbidities. METHODS: We used the PINC AI™ Healthcare Data Special Release (PHD-SR) to identify patients with COVID-19 (ICD-10) at approximately 900 hospitals in the United States. We performed exact matching (age, gender, and ethnicity) for patients with or without NAFLD/NASH, adjusting for demographics (admission type, region) and comorbidities (e.g., obesity, diabetes) through inverse probability of treatment weighting and then analysed hospitalisation-related outcomes. RESULTS: Among 513 623 patients with SARS-CoV-2 (COVID-19), we identified 14 667 with NAFLD/NASH who could be matched to 14 667 controls. Mean age was 57.6 (±14.9) years, 50.8% were females and 43.7% were non-Hispanic whites. After matching, baseline characteristics (e.g., age, ethnicity, and gender) and comorbidities (e.g., hypertension, obesity, diabetes, and cardiovascular disease) were well balanced (standard difference (SD) <.10), except for cirrhosis and malignancies. Patients with COVID-19 and NAFLD/NASH had higher FIB-4 scores, a significantly longer hospital length of stay (LOS) and intensive care LOS than controls (9.4 vs. 8.3 days, and 10.4 vs. 9.3, respectively), even after adjusting for cirrhosis and malignancies. Patients with COVID-19 and NAFLD/NASH also had significantly higher risk of needing invasive mandatory ventilation (IMV) (odds ratio 1.0727; 95% CI 1.0095-1.1400). Other outcomes were similar in both groups. CONCLUSIONS: In this large real-world cohort of patients hospitalised for COVID-19 in the United States, NAFLD/NASH were obesity-independent risk factors for complicated disease courses.

EstimATTR: A Simplified, Machine-Learning-Based Tool to Predict the Risk of Wild-Type Transthyretin Amyloid Cardiomyopathy.

BACKGROUND: Wild-type transthyretin amyloid cardiomyopathy (ATTRwt-CM), an increasingly recognized cause of heart failure (HF), often remains undiagnosed until later stages of the disease. METHODS AND RESULTS: A previously developed machine learning algorithm was simplified to create a random forest model based on 11 selected phenotypes predictive of ATTRwt-CM to estimate ATTRwt-CM risk in hypothetical patient scenarios. Using U.S. medical claims datasets (IQVIA), International Classification of Diseases codes were extracted to identify a training cohort of patients with ATTRwt-CM (cases) or nonamyloid HF (controls). After assessment in a 20% test sample of the training cohort, model performance was validated in cohorts of patients with International Classification of Diseases codes for ATTRwt-CM or cardiac amyloidosis vs nonamyloid HF derived from medical claims (IQVIA) or electronic health records (Optum). The simplified model performed well in identifying patients with ATTRwt-CM vs nonamyloid HF in the test sample, with an accuracy of 74%, sensitivity of 77%, specificity of 72%, and area under the curve of 0.82; robust performance was also observed in the validation cohorts. CONCLUSIONS: This simplified machine learning model accurately estimated the empirical probability of ATTRwt-CM in administrative datasets, suggesting it may serve as an easily implementable tool for clinical assessment of patient risk for ATTRwt-CM in the clinical setting. BRIEF LAY SUMMARY: Wild-type transthyretin amyloid cardiomyopathy (ATTRwt-CM for short) is a frequently overlooked cause of heart failure. Finding ATTRwt-CM early is important because the disease can worsen rapidly without treatment. Researchers developed a computer program that predicts the risk of ATTRwt-CM in patients with heart failure. In this study, the program was used to check for 11 medical conditions linked to ATTRwt-CM in the medical claims records of patients with heart failure. The program was 74% accurate in identifying ATTRwt-CM in patients with heart failure and was then used to develop an educational online tool for doctors (the wtATTR-CM estimATTR).

An interrupted time series study of electronic health record clinical decision support for providers caring for patients with atrial fibrillation at increased stroke risk.

PURPOSE: To measure the effect of clinical decision support (CDS) on anticoagulation rates in patients with atrial fibrillation (AFib) or atrial flutter (AFlut) at high stroke risk and receiving care in outpatient settings, and to assess provider response to CDS. METHODS: This observational, quasi-experimental, interrupted time series study utilized electronic health record data at a large integrated delivery network in Texas from April to November 2020. CDS consisted of an electronic Best Practice Advisory (BPA)/alert (Epic Systems Corporation, Verona, WI) with links to 2 AFib order sets displayed to providers in outpatient settings caring for non-anticoagulated patients with AFib and elevated CHA2DS2VASc scores. Weekly outpatient anticoagulation rates were assessed in patients with high stroke risk before and after implementation of CDS. Alert actions and acknowledgment reasons were evaluated descriptively. RESULTS: Mean (SD) weekly counts of eligible patients were 8,917 (566) before and 8,881 (811) after implementation. Weekly anticoagulation rates increased during the pre-BPA study period (ß1 = 0.07%; SE, 0.02%; P = 0.0062); however, there were no significant changes in the level (ß2 = 0.60%; SE, 0.42%; P = 0.1651) or trend (ß3 = -0.01%; SE, 0.05%; P = 0.8256) of anticoagulation rates associated with CDS implementation. In encounters with the BPA/alert displayed (n = 17,654), acknowledgment reasons were provided in 4,473 (25.3%) of the encounters, with prescribers most commonly citing bleeding risk (n = 1,327, 7.5%) and fall risk (n = 855, 4.8%). CONCLUSION: There was a significant trend of increasing anticoagulation rates during the pre-BPA period, with no significant change in trend during the post-BPA period relative to the pre-BPA period.

Effectiveness of crizotinib in patients with ROS1-positive non-small-cell lung cancer: real-world evidence in Japan.

Aim: Crizotinib, approved in Japan (2017) for ROS1-positive NSCLC, has limited real-world data. Materials & methods: Crizotinib monotherapy real-world effectiveness and treatment status were analyzed from claims data (June 2017-March 2021; Japanese Medical Data Vision; 58 patients tested for ROS1-NSCLC). Results: Median duration of treatment ([DoT]; primary end point), any line: 12.9 months; 22 patients on crizotinib, 23 discontinued, 13 receiving post-crizotinib treatment. 1L (n = 27) median DoT: 13.0 months (95% CI, 4.4-32.0 months); 13 patients on crizotinib; seven discontinued; seven receiving post-crizotinib treatment. 2L (n = 13) median DoT: 14.0 months (95% CI, 4.6-22.2 months); 2L+ (n = 31): nine patients on crizotinib; 16 discontinued; six receiving post-crizotinib treatment. Post-crizotinib treatments (chemotherapy, cancer immunotherapy, anti-VEGF/R) did not affect crizotinib DoT. Conclusion: Data supplement crizotinib's effectiveness in ROS1-positive NSCLC previously seen in clinical trials/real-world.

Non-small-cell lung cancer (NSCLC) is a common type of cancer in the lung that is often caused by mutations in specific genes in the DNA. One type of NSCLC occurs when you have mutations in a gene called ROS1, whose normal function is not well understood. Crizotinib, an oral medicine, was approved in Japan for the treatment of NSCLC with mutations in ROS1 in 2017; however, this was based upon data from controlled clinical trials. This study was looking at crizotinib use in Japan based upon claims data from the Japanese Medical Data Vision database, which captures all use of medications provided in Japan. Data was collected from June 2017 to March 2021 for 58 Japanese patients who had NSCLC, tested positive for ROS1 mutations, and received crizotinib. Patients took crizotinib for a median of 13.0 months as a first treatment option and 14.0 months as a second treatment option for their NSCLC. The type of and duration of anticancer treatments given before crizotinib did not have an effect on the length of time crizotinib was used. Other treatments outside of crizotinib were given before or after crizotinib and include chemotherapy, therapy that modifies the immune system to treat cancer, or treatments that inhibit the growth of blood vessels that help the cancer grow/spread. Together, these real-world data provide evidence supporting the use of crizotinib in the treatment of patients with NSCLC and ROS1 mutations.

Prescription opioid utilization patterns, and associated outcomes, among privately insured patients prescribed opioids to manage pain associated with osteoarthritis.

OBJECTIVE: To describe utilization patterns, negative clinical outcomes and economic burden of patients diagnosed with osteoarthritis (OA) of the hip and/or knee who received a prescription for tramadol or non-tramadol opioids vs. non-opioid drugs. METHODS: Optum Healthcare Solutions, Inc. commercial claims data were used (1/2012--3/2017). Adults with ≥2 diagnoses of OA of the hip and/or knee, and ≥30 days supply of pain medications were identified during the three-year period from the date of first prescription (index date) after the first OA diagnosis. Drug utilization statistics in the follow-up period were summarized by initial treatment (i.e. tramadol, non-tramadol opioids, non-opioid drugs). Opioid initiators were matched to those initiated on non-opioid treatments using a propensity score model accounting for baseline characteristics. Matched pairs analysis compared outcomes for these cohorts. RESULTS: Of 62,715 total patients, 15,270 (24.3%) initiated treatment with opioids, including 3,513 (5.6%) on tramadol and 11,757 (18.7%) on non-tramadol opioids. Opioid initiators had more comorbidities, higher baseline healthcare costs, and were more likely to have OA of the hip. Among non-opioid initiators, 27.5% switched to tramadol and 63% switched to non-tramadol opioids. Among tramadol initiators, 71% switched to non-tramadol opioids. Patients initiated on opioids had 20.4% (p < .01) higher all-cause healthcare costs and higher percentages experiencing multiple negative clinical outcomes (all p < .01) compared to matched controls. CONCLUSIONS: Most patients with OA of the hip and/or knee either initiate on or switch to opioids for long-term management of OA-related pain despite known risks. This highlights the need for new treatments that delay or prevent use of opioids.

Quantifying The Burden of Persistent Musculoskeletal Pain in Employees at Rolls-Royce in The United Kingdom: A Real-World Cross-Sectional Survey.

OBJECTIVE: We aimed to investigate the burden of persistent musculoskeletal (MSK) pain in Rolls-Royce UK employees. METHODS: Employees with ( n = 298) and without ( n = 329) persistent MSK pain completed a cross-sectional survey. Weighted regression analyses were conducted to compare sickness absence, work ability, workplace accommodations/adaptations, and emotional well-being between these cohorts, controlling for confounders. RESULTS: Persistent MSK pain (particularly back pain) had a significant impact on physical work ability and was associated with increased sickness absence due to pain. Many employees (56%) had not disclosed their condition to their managers. Of these, 30% felt uncomfortable doing so, and 19% of employees reported insufficient support at work for their pain. CONCLUSIONS: These findings highlight the importance of creating a workplace culture that encourages the disclosure of work-relevant pain, enabling organizations to consider improved, tailored support for employees.

Real-world therapeutic effectiveness of lorlatinib after alectinib in Japanese patients with ALK-positive non-small-cell lung cancer.

Alectinib, an anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitor (TKI), is the recommended first-line treatment for ALK-positive non-small-cell lung cancer (NSCLC) in Japan. Lorlatinib was approved as a subsequent therapeutic option after progression while receiving ALK TKI treatment. However, data on the use of lorlatinib in the second- or third-line setting after alectinib failure are limited in Japanese patients. This retrospective real-world observational study investigated the clinical effectiveness of lorlatinib in second- or later-line settings after alectinib failure in Japanese patients. Clinical and demographic data collected in the Japan Medical Data Vision (MDV) database between December 2015 and March 2021 were used. Patients diagnosed with lung cancer who received lorlatinib following alectinib failure after the November 2018 marketing approval of lorlatinib in Japan were included. Of 1954 patients treated with alectinib, 221 were identified from the MDV database as receiving lorlatinib after November 2018. The median age of these patients was 62 years. Second-line lorlatinib treatment was reported for 154 patients (70%); third- or later-line lorlatinib treatment was reported for 67 patients (30%). The median duration of treatment (DOT) for all lorlatinib-treated patients was 161 days (95% confidence interval [CI], 126-248), and 83 patients (37.6%) continued treatment after data cut-off (March 31, 2021). Median DOTs of 147 days (95% CI, 113-242) and 244 days (95% CI, 109 to not reached) were reported with second-line and third- or later-line treatment, respectively. Consistent with clinical trial data, this real-world observational study supports data suggesting the effectiveness of lorlatinib after alectinib failure in Japanese patients.

Real-world study of next-generation sequencing diagnostic biomarker testing for patients with lung cancer in Japan.

Our previous real-world studies raised concerns that sequential biomarker testing may lead to increased time to treatment when compared with simultaneous single biomarker testing. The Oncomine Dx target test (ODxTT), a next-generation sequencing-based multiplex biomarker panel test approved in Japan in 2019, is expected to improve time to treatment due to changes in testing methods. This retrospective observational study examined data claims for reimbursement submitted for patients with lung cancer in Japan between June 1, 2019, and March 31, 2020. To evaluate the change in testing prevalence over time and associated improvements in time to treatment, descriptive statistics were used to characterize biomarker testing patterns and rates and evaluate the time to treatment in the time following the approval of ODxTT considering transitions over time during the evaluation period. EGFR and programmed death ligand 1 (PD-L1) were the most tested biomarkers in overall single and simultaneous single testing in the 6177 patients in this study. Individual single biomarker testing gradually decreased over time, except testing for PD-L1, which remained constant. The use of ODxTT gradually increased in this period. Time to treatment decreased from 29 to 22 days with ODxTT, in contrast to single biomarker tests (median 21-23 days overall). These results indicate that biomarker testing frequency changed in Japanese clinical practice during the study and that the use of ODxTT has increased over time, which potentially contributed to the shortening of time to treatment.

Effectiveness and Safety of Apixaban vs Warfarin in Patients with Venous Thromboembolism with Risk Factors for Bleeding or for Recurrences.

INTRODUCTION: Patients at increased risk of bleeding and recurrent VTE who develop venous thromboembolism (VTE) present challenges for clinical management. This study evaluated the effectiveness and safety of apixaban vs warfarin in patients with VTE who have risk factors for bleeding or recurrences. METHODS: Adult patients with VTE initiating apixaban or warfarin were identified from five claims databases. Stabilized inverse probability treatment weighting (IPTW) was used to balance characteristics between cohorts for the main analysis. Subgroup interaction analyses were conducted to evaluate treatment effects among patients with and without each of the conditions that increased the risk of bleeding (thrombocytopenia and history of bleed) or recurrent VTE (thrombophilia, chronic liver disease, and immune-mediated disorders). RESULTS: A total of 94,333 warfarin and 60,786 apixaban patients with VTE met selection criteria. After IPTW, all patient characteristics were balanced between cohorts. Apixaban (vs warfarin) patients were at lower risk of recurrent VTE (HR [95% confidence interval (CI) 0.72 [0.67-0.78]), major bleeding (MB) (HR [95% CI] 0.70 [0.64-0.76]), and clinically relevant non-major (CRNM) bleeding (HR [95% CI] 0.83 [0.80-0.86]). Subgroup analyses showed generally consistent findings with the overall analysis. For most subgroup analyses, there were no significant interactions between treatment and subgroup strata on VTE, MB and CRNM bleeding. CONCLUSION: Patients with prescription fills for apixaban had lower risk of recurrent VTE, MB, and CRNM bleeding compared with warfarin patients. Treatment effects of apixaban vs warfarin were generally consistent across subgroups of patients at increased risk of bleeding/recurrences.

Warfarin Time in Therapeutic INR Range and Direct Oral Anticoagulant Adherence for Venous Thromboembolism Across the Spectrum of Weight and Body Mass Index: Findings from Veterans Health Administration.

The evidence of direct oral anticoagulants (DOACs) usage for venous thromboembolism (VTE) in patients at extremes of body weight or mass index is limited. In such situations, warfarin may be more frequently used. We investigated warfarin time in the therapeutic international normalized ratio range (TTR) and DOAC adherence based on the calculated proportion of days covered (PDC) by pill coverage from a DOAC prescription in patients with VTE across all body sizes. Using data from the Veterans Health Administration (VA), we identified first-time patients with VTE between 2013 and 2018 treated with warfarin or DOACs. We analyzed 28,245 patients with warfarin TTR (N = 10,167) or DOAC PDC(N = 18,078). For warfarin-treated patients after index VTE, mean TTR was lower over shorter treatment durations (TTR 30 vs TTR 180 [mean ± SD]: 43.8% ± 33.5% vs 58.8% ± 23.5%). Mean TTR over 180 days after VTE was lowest for patients <60 kg (TTR 180 [mean ± SD]: <60kg: 49.3% ± 24.2% vs ≥60 to <100 kg: 57.8% ± 23.4%; P < .0001). For DOAC-treated patients over 180 days after index VTE, mean PDC was lowest for patients <60 kg (PDC 180 [mean ± SD]: < 60kg: 76.9% ± 33.2% vs ≥ 60 to <100 kg: 83.6% ± 27.7%; P < .0001).Most DOAC-treated patients attained sufficient adherence across the body size spectrum while warfarin-treated patients <60kg were at risk for low TTR.

Oral anticoagulant underutilization among elderly patients with atrial fibrillation: insights from the United States Medicare database.

BACKGROUND: Oral anticoagulants (OACs) mitigate stroke risk in patients with atrial fibrillation (AF). The study aim was to analyze prevalence and predictors of OAC underutilization. METHODS: Newly diagnosed AF patients with a CHA2DS2-VASc score ≥ 2 were identified from the US CMS Database (January 1, 2013-December 31, 2017). Patients were stratified based on having an OAC prescription versus not and the OAC prescription group was stratified by direct OAC (DOACs) versus warfarin. Multivariable logistic regression models were used to examine predictors of OAC underutilization. RESULTS: Among 1,204,507 identified AF patients, 617,611 patients (51.3%) were not prescribed an OAC during follow-up (mean: 2.4 years), and 586,896 patients (48.7%) were prescribed an OAC during this period (DOAC: 388,629 [66.2%]; warfarin: 198,267 [33.8%]). Age ≥ 85 years (odds ratio [OR] 0.55, 95% confidence interval [CI] 0.55-0.56), female sex (OR 0.96, 95% CI 0.95-0.96), Black race (OR 0.78, 95% CI 0.77-0.79) and comorbidities such as gastrointestinal (GI; OR 0.43, 95% CI 0.41-0.44) and intracranial bleeding (OR 0.29, 95% CI 0.28-0.31) were associated with lower utilization of OACs. Furthermore, age ≥ 85 years (OR 0.92, 95% CI 0.91-0.94), Black race (OR 0.78, 95% CI 0.76-0.80), ischemic stroke (OR 0.77, 95% CI 0.75-0.80), GI bleeding (OR 0.73, 95% CI 0.68-0.77), and intracranial bleeding (OR 0.72, 95% CI 0.65-0.80) predicted lower use of DOACs versus warfarin. CONCLUSIONS: Although OAC therapy prescription is the standard of care for stroke prevention in AF patients, its overall utilization is still low among Medicare patients ≥ 65 years old, with specific patient characteristics that predict underutilization.

Effectiveness and Safety of Direct Oral Anticoagulants Among Patients with Non-valvular Atrial Fibrillation and Multimorbidity.

INTRODUCTION: In the USA, there is a steady rise of atrial fibrillation due to the aging population with increased morbidity. This study evaluated the risk of stroke/systemic embolism (S/SE) and major bleeding (MB) among elderly patients with non-valvular atrial fibrillation (NVAF) and multimorbidity prescribed direct oral anticoagulants (DOACs). METHODS: Using the CMS Medicare database, a retrospective observational study of adult patients with NVAF and multimorbidity who initiated apixaban, dabigatran, or rivaroxaban from January 1, 2012 to December 31, 2017 was conducted. High multimorbidity was classified as having ≥ 6 comorbidities. Cox proportional hazard models were used to evaluate the hazard ratios of S/SE and MB among three 1:1 propensity score matched DOAC cohorts. All-cause healthcare costs were estimated using generalized linear models. RESULTS: Overall 36% of the NVAF study population had high multimorbidity, forming three propensity score matched (PSM) cohorts: 12,511 apixaban-dabigatran, 60,287 apixaban-rivaroxaban, and 12,567 dabigatran-rivaroxaban patients. Apixaban was associated with a lower risk of stroke/SE and MB when compared with dabigatran and rivaroxaban. Dabigatran had a lower risk of stroke/SE and a similar risk of MB when compared with rivaroxaban. Compared to rivaroxaban, apixaban patients incurred lower all-cause healthcare costs, and dabigatran patients incurred similar all-cause healthcare costs. Compared to dabigatran, apixaban patients incurred similar all-cause healthcare costs. CONCLUSION: Patients with NVAF and ≥ 6 comorbid conditions had significantly different risks for stroke/SE and MB when comparing DOACs to DOACs, and different healthcare expenses. This study's results may be useful for evaluating the risk-benefit ratio of DOAC use in patients with NVAF and multimorbidity.

Effectiveness and safety of apixaban vs warfarin among venous thromboembolism patients at high-risk of bleeding.

This study evaluated effectiveness and safety of apixaban versus warfarin among venous thromboembolism patients at high-risk of bleeding (defined as having at least one of the following bleeding risk factors: ≥75 years; used antiplatelet, NSAIDs, or corticosteroids; had prior gastrointestinal bleeding or gastrointestinal-related conditions; late stage chronic kidney disease). Adult venous thromboembolism patients initiating apixaban or warfarin with ≥1 bleeding risk factor were identified from Medicare and four commercial claims databases in the United States. To balance characteristics between apixaban and warfarin patients, stabilized inverse probability treatment weighting was conducted. Cox proportional hazards models were used to estimate the risk of recurrent venous thromboembolism, major bleeding, and clinically relevant non-major bleeding. In total, 88,281 patients were identified. After inverse probability treatment weighting, the baseline patient characteristics were well-balanced between the two cohorts. Among venous thromboembolism patients at high-risk of bleeding, apixaban was associated with significantly lower risk of recurrent venous thromboembolism, major bleeding and clinically relevant non-major bleeding. No significant interactions were observed between treatment and number of risk factors on major bleeding and clinically relevant non-major bleeding or between treatment and type of bleeding risk factors on any of the outcomes. In conclusion, apixaban was associated with significantly lower risk of recurrent venous thromboembolism and bleeding among venous thromboembolism patients at high-risk of bleeding. Effects were generally consistent across subgroups of patients with different number or type of bleeding risk factors.

Risk Factors Associated with Falls and Fractures Following Prescription of Opioids Among Privately Insured Patients with Osteoarthritis.

Background: While prior research has shown that patients with osteoarthritis (OA) who are prescribed opioids have higher rates of falls and fractures following drug initiation, there is a limited body of work establishing a comprehensive model of factors that influence the risk of falls or fractures among these patients. Objective: Opioids are associated with negative clinical outcomes, including increased risk of falls and fractures. This study assessed the frequency, treatment characteristics, and risk factors associated with falls or fractures among patients with OA taking opioids. Methods: Optum Healthcare Solutions, Inc data (January 2012-March 2017) were used to identify patients over 18 with at least 2 diagnoses of hip and/or knee OA, and at least 90 days' supply of opioids. Patients with cancer were excluded. Falls or fractures outcomes were assessed in the 36-month follow-up period after the date of the first opioid prescription after first OA diagnosis. Demographic, treatment, and clinical characteristics associated with falls or fractures were assessed using logistic regression. Results: Of 16 663 patients meeting inclusion criteria, 3886 (23%) had at least 1 fall or fracture during follow-up. Of these 3886 patients, 1349 (35%) had at least 1 fall with an average of 3 fall claims, and 3299 (85%) patients had at least 1 fracture with an average of 8 claims during follow-up. Spine (15.8%) and hip (12.5%) fractures were most common. Median time to fall or fracture was 18.6 and 13.9 months, respectively. Significant (P<.05) risk factors associated with at least 1 fall or fracture during the follow-up period included alcohol use (odds ratio [OR], 3.41), history of falling (OR, 2.19), non-tramadol opioid use (OR, 1.31), age (OR, 1.03), benzodiazepine use (OR, 1.21), and at least 1 osteoporosis diagnosis (OR, 2.06). Discussion: This study is among only a few that clearly identifies the substantial impact and frequency of falls and fractures associated with prescribing non-tramadol opioids to patients with OA. Findings suggest that fall or fracture risks need to be considered when managing OA pain with opioids. Conclusion: Falls and fractures impose a major clinical burden on patients prescribed opioids for OA-related pain management. Falls or fracture risks should be an important consideration in the ongoing treatment of patients with OA.