TRAJECTORIES OF ORAL ANTICOAGULATION ADHERENCE AMONG MEDICARE BENEFICIARIES NEWLY DIAGNOSED WITH ATRIAL FIBRILLATION

2019 ◽  
Vol 73 (9) ◽  
pp. 479
Author(s):  
Inmaculada Hernandez ◽  
Meiqi He ◽  
Nemin Chen ◽  
Walid F. Gellad ◽  
Samir Saba
Author(s):  
Inmaculada Hernandez ◽  
Meiqi He ◽  
Nemin Chen ◽  
Maria M. Brooks ◽  
Samir Saba ◽  
...  

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Inmaculada Hernandez ◽  
Samir Saba ◽  
Yuting Zhang

Background: Recent studies have shown strong geographic variation in oral anticoagulation (OAC) use in atrial fibrillation (AF); however, it remains unknown how this contributes to the geographic variation in ischemic stroke observed across the US. The objective of the present study was to evaluate the relationship between the geographic variation in the initiation of OAC and the incidence of ischemic stroke in a cohort of Medicare beneficiaries newly diagnosed with AF. Methods: Using 2013-2014 claims data from a 5% random sample of Medicare beneficiaries, we identified patients newly diagnosed with AF in 2013-2014 and categorized them according to their initiation of OAC. Our sample included 21,226 OAC initiators and 20,068 patients who did not initiate OAC therapy. We assigned each patient to one of the 9 US Census Divisions using the zip code, and collected their medical claims with a diagnosis of ischemic stroke. We constructed logistic regression models to estimate the average adjusted probability of OAC initiation and Poisson models to estimate the average adjusted rate of ischemic stroke, in each Census Division. Both estimates were adjusted for demographics, eligibility for Medicaid coverage and for low-income subsidy, enrollment in a Medicare Advantage Part D plan, and a comprehensive list of clinical characteristics. We computed the correlation between the average adjusted probability of OAC initiation and the average adjusted rate of ischemic stroke at the Census Division level. Results: The probability of OAC initiation was lowest in the West South Central (0.47) and highest in the West North Central (0.54) and New England (0.54). The average adjusted rate of ischemic stroke was lowest in the West North Central (0.09) and highest in the South Atlantic (0.14) and South West Central (0.14). The average adjusted probability of OAC initiation at the Census Division level and the average adjusted rate of ischemic stroke were inversely correlated, with R=-0.576, p-value=0.10. This suggests that variation in OAC initiation likely explains at least a third of geographic variation in ischemic stroke [R 2 =(-0.576) 2 =0.332]. Conclusions: Our results suggest that geographic variations in OAC initiation within the U.S. explain, in part, variations in the incidence of ischemic stroke among AF patients. Further mechanistic research using advanced causal mediation models is warranted.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Inmaculada Hernandez ◽  
Yuting Zhang ◽  
Samir Saba

Background: Recent research has shown strong provider-level variation in oral anticoagulation (OAC) use in atrial fibrillation (AF). The objective of the present study was to examine predictors of prescribing OAC to newly diagnosed AF patients, with special attention to prescribing low-dose direct oral anticoagulant agents (DOACs) to patients with no diagnosis of chronic kidney disease (CKD). Methods: Using 2013-2014 Medicare claims data, we identified patients newly diagnosed with AF who had CHA2DS2-VASc score≥2. Our sample included 19,390 patients who did not initiate OAC, and 22,299 OAC initiators, among whom 12,786 initiated warfarin, 5,984 high-dose DOACs and 3,529 low-dose DOACs. We constructed logistic regression models to estimate the effect of patient demographics, clinical characteristics, provider specialty, and insurance factors on OAC initiation and likelihood of prescribing low dose DOAC in patients with no CKD. Results: As shown in the table, age, gender, heart failure, and a history of bleeding affected the initiation of OAC as well as DOAC dosing. White patients were more likely to initiate OAC, but race did not affect DOAC dosing. Use of antiplatelet agents decreased the odds of OAC initiation by 27% (95%CI, 23%-31%), but did not impact DOAC dosing. The odds of OAC initiation decreased by 10% (95%CI, 6%-15%) for each point increase in the Geographic Practice Cost Index for malpractice. The odds of initiating low-dose DOACs were 30% (95%CI, 11%-38%) lower for patients seen by cardiologists than for those seen by internists or family practitioners. Conclusions: In addition to demographics and clinical characteristics, provider and insurance factors have a strong impact on initiation and dosing of OAC.


2013 ◽  
Vol 166 (3) ◽  
pp. 573-580 ◽  
Author(s):  
Mintu P. Turakhia ◽  
Matthew D. Solomon ◽  
Mehul Jhaveri ◽  
Pamela Davis ◽  
Michael R. Eber ◽  
...  

2020 ◽  
Vol 9 (10) ◽  
Author(s):  
Celina M. Yong ◽  
Jennifer A. Tremmel ◽  
Maarten G. Lansberg ◽  
Jun Fan ◽  
Mariam Askari ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e028387 ◽  
Author(s):  
Duncan Wilson ◽  
Gareth Ambler ◽  
Clare Shakeshaft ◽  
Gargi Banerjee ◽  
Andreas Charidimou ◽  
...  

ObjectiveWe report on: (1) the proportion of patients with known atrial fibrillation (AF); and (2) demographic, clinical or radiological differences between patients with known AF (and not treated) and patients with newly diagnosed AF, in a cohort of patients who presented with ischaemic stroke or transient ischaemic attack (TIA) not previously treated with anticoagulation.DesignWe reviewed cross-sectional baseline demographic and clinical data from a prospective observational cohort study, (CROMIS-2).SettingPatients were recruited from 79 hospital stroke centres throughout the UK and one centre in the Netherlands.ParticipantsPatients were eligible if they were adults who presented with ischaemic stroke or TIA and AF and had not been previously treated with oral anticoagulation.Main outcome measuresProportion of patients with known AF before index ischaemic stroke or TIA from a cohort of patients who have not been previously treated with oral anticoagulation. Secondary analysis includes the comparison of CHA2DS2-VASc and HAS-BLED scores and other demographics and risk factors between those with newly diagnosed AF and those with previously known AF.ResultsOf 1470 patients included in the analysis (mean age 76 years (SD 10)), 622 (42%) were female; 999 (68%) patients had newly diagnosed AF and 471 (32%) patients had known AF. Of the 471 patients with known AF, 68% had a strong indication for anticoagulation and 89% should have been considered for anticoagulation based upon CHA2DS2-VASc score. Patients with known AF were more likely to have a prior history of dementia (4% vs 2%, p=0.02) and had higher HAS-BLED scores (median 3 vs 2). CHA2DS2-VASc, other risk factors and demographics were similar.ConclusionsAbout 1/3 of patients who present with stroke and have AF who have not been treated with oral anticoagulation have previously known AF. Of these patients, at least 68% were not adequately treated with oral anticoagulation.Trial registration numberNCT02513316.


2019 ◽  
Vol 20 (2) ◽  
pp. 199-207 ◽  
Author(s):  
Inmaculada Hernandez ◽  
Meiqi He ◽  
Maria M. Brooks ◽  
Samir Saba ◽  
Walid F. Gellad

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Mayank Sardana ◽  
Qiming Shi ◽  
Connor Saleeba ◽  
Tenes Paul ◽  
Alok Kapoor ◽  
...  

Introduction: Atrial fibrillation (AF) that is associated with acute precipitants frequently recurs and is associated with long-term morbidity and mortality. Leveraging a large electronic medical record (EMR) database, we previously reported the performance of an automated EMR-based algorithm to identify the acute precipitants of newly detected-AF, but its validation in other databases has not been performed. Hypothesis: Modified EMR-based algorithm would accurately identify acute precipitants of AF and oral anticoagulation (OAC) use after AF diagnosis Methods: Among all records (inpatient/outpatient/ER) in a single-institution EMR (10/1/17 - 12/31/19), we first identified 4493 records documenting newly-diagnosed AF (ICD 10: I48). We then applied the modified EMR-based algorithm to identify 13 acute AF precipitants (within 30 days of AF diagnosis, Figure 1) and determine OAC use after an AF diagnosis. We manually adjudicated a random subset of identified records (892 of 4493) to derive performance metrics of the EMR algorithm. Results: Of 4493 records with newly-diagnosed AF, the algorithm identified ≥1 acute precipitant in 831 records and ≥2 precipitants in 206 records. The most common precipitants were respiratory failure (38%) and pneumonia (35%). Among patients with CHADS2Vasc ≥2, 44% with an acute precipitant were prescribed an OAC vs. 63% free from a precipitant after initial AF diagnosis. EMR algorithm accurately identified the precipitants and OAC use after AF diagnosis (PPV 89% for both, Figure 1). Conclusions: In this validation study, our novel EMR-based automated algorithm was highly accurate at identifying acute precipitants of AF and OAC use after AF diagnosis. We also observed differential rates of OAC use between those with and without an acute precipitant. Application of the algorithm to multi-institutional datasets could help map the gaps in care (e.g., OAC use) AF patients with acute precipitants often experience.


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