Dataset Information

Provider Specialty, Anticoagulation Prescription Patterns, and Stroke Risk in Atrial Fibrillation.

ABSTRACT:

Background

Differences in anticoagulation rates and direct oral anticoagulant use by provider specialty may identify an area of practice improvement to reduce future stroke events in patients with atrial fibrillation (AF).

Methods and results

We examined anticoagulant prescription fills in 388 045 (mean age, 68±15 years; 59% male) patients with incident AF from the MarketScan databases between 2009 and 2014. Provider specialty and filled anticoagulant prescriptions around the time of AF diagnosis (3 months before through 6 months after) were obtained from outpatient services and pharmacy claims. We estimated the association of provider specialty (cardiology versus primary care) with filling oral anticoagulant prescriptions, adjusting for patient characteristics. The risk of stroke and bleeding events also was explored. A total of 235 739 patients (61%) had a cardiology provider claim, whereas 152 306 (39%) were exclusively managed by primary care. Patients seen by cardiology providers were more likely to fill anticoagulant prescriptions than those seen by primary care (39% versus 27%; relative risk, 1.39; 95% confidence interval [CI], 1.37-1.40). Differences were observed for direct oral anticoagulants (relative risk, 1.74; 95% CI, 1.71-1.78) and warfarin (relative risk, 1.24; 95% CI, 1.22-1.26). A reduced risk of stroke events was observed among those seen by cardiology providers (hazard ratio, 0.90; 95% CI, 0.86-0.94) compared with primary care, without an increased bleeding risk (hazard ratio, 1.03; 95% CI, 0.98-1.07).

Conclusions

Patients seen by an outpatient cardiology provider shortly after AF diagnosis were more likely to initiate oral anticoagulation and were at lower risk of future stroke events without a higher rate of bleeding. Early referral to cardiology specialists may increase initiation of anticoagulant therapies and improve outcomes in AF.

SUBMITTER: O'Neal WT

PROVIDER: S-EPMC5907557 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Publications

Provider Specialty, Anticoagulation Prescription Patterns, and Stroke Risk in Atrial Fibrillation.

O'Neal Wesley T WT Sandesara Pratik B PB Claxton J'Neka S JS MacLehose Richard F RF Chen Lin Y LY Bengtson Lindsay G S LGS Chamberlain Alanna M AM Norby Faye L FL Lutsey Pamela L PL Alonso Alvaro A

Journal of the American Heart Association 20180310 6

<h4>Background</h4>Differences in anticoagulation rates and direct oral anticoagulant use by provider specialty may identify an area of practice improvement to reduce future stroke events in patients with atrial fibrillation (AF).<h4>Methods and results</h4>We examined anticoagulant prescription fills in 388 045 (mean age, 68±15 years; 59% male) patients with incident AF from the MarketScan databases between 2009 and 2014. Provider specialty and filled anticoagulant prescriptions around the time ...[more]

PMID: 29525778

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Project description:BackgroundIt is unknown whether early cardiology involvement shortly after atrial fibrillation (AF) diagnosis is associated with favorable outcomes in AF patients who have cancer.ObjectivesThe purpose of this study was to examine the relationship between early cardiology involvement after AF diagnosis in patients with history of cancer.MethodsThis study examined associations of early cardiology involvement with oral anticoagulation use, stroke, and bleeding among nonvalvular AF patients (n = 388,045; mean age 68 ± 15 years; 59% male) with a history of cancer (past or active) from the MarketScan database (2009 to 2014). International Classification of Disease-9th Revision-Clinical Modification codes in any position were used to identify cancer diagnosis prior to AF diagnosis. Provider specialty and filled anticoagulant prescriptions 3 months prior to and 6 months after AF diagnosis were obtained. Poisson regression models were used to compute the probability of an oral anticoagulant prescription fill, and Cox regression was used to estimate the risks of stroke and major bleeding.ResultsA total of 64,016 (17%) AF patients had a history of cancer. Cardiology involvement was less likely to occur among patients with a history of cancer than those without (relative risk [RR]: 0.92 [95% confidence interval (CI): 0.91 to 0.93]). Patients with history of cancer were less likely to fill prescriptions for anticoagulants (RR: 0.89 [95% CI: 0.88 to 0.90]) than those without cancer, and similar results were observed across cancer types. Patients with cancer were more likely to fill prescriptions for anticoagulants (RR: 1.48 [95% CI: 1.45 to 1.52]) if seen by a cardiologist. A reduced risk of stroke (hazard ratio: 0.89 [95% CI: 0.81 to 0.99]) was observed among all cancer patients who were seen by a cardiology provider, without an increased risk of bleeding (hazard ratio: 1.04 [95% CI: 0.95 to 1.13]). Similar results were observed when the analysis was stratified by active versus remote history of cancer.ConclusionsAlthough AF patients with cancer were less likely to see a cardiologist, or fill anticoagulant prescriptions, cardiology involvement was associated with increased anticoagulant prescription fills and favorable AF-related outcomes in AF patients with cancer.

Project description:Early cardiology involvement after atrial fibrillation (AF) diagnosis is associated with increased oral anticoagulant prescription fills and reduced stroke risk. It is unknown if this association varies by race, sex, or education. We examined anticoagulant fills in 223,891 patients with incident nonvalvular AF (mean age = 71 years; 44% women; 84% white; 9% black; 5% Hispanic; 2% Asian) from the Optum Clinformatics database (2009 to 2014). Provider specialty and filled anticoagulant prescriptions 3 months before and 6 months after AF diagnosis were obtained. Poisson regression was used to compute the probability of oral anticoagulant prescription fill and Cox regression was used to estimate the risk of stroke and major bleeding. Cardiology involvement was less likely among nonwhites (white = Referent; black = relative risk = 0.96, 95% confidence interval (0.95 to 0.97); Hispanic = 0.99 (0.98 to 1.00); Asian = 0.95 (0.93 to 0.97)) and women (0.92 (0.91 to 0.93)), but more likely with higher education level (high school or less = Referent; some college = 1.03 (1.02 to 1.04); college or more = 1.08 (1.07 to 1.09)). Patients seen by cardiology providers were more likely to fill anticoagulant prescriptions (Any = 1.67 (1.64 to 1.69); direct oral anticoagulants = 2.59 (2.49 to 2.68); warfarin = 1.38 (1.35 to 1.41)) compared with patients not seen by a cardiology provider. Patients seen by a cardiologist had a reduced stroke risk (hazard ratio = 0.84 (0.79 to 0.88)) and similar bleeding risk (1.01 (0.96 to 1.06)). Outcomes did not vary by race, sex, or education level. In conclusion, although race, sex, and education differences exist in early cardiology involvement after AF diagnosis, the influence of cardiology involvement on anticoagulant prescription fills and AF-related outcomes does not vary by these factors. Initiatives to improve early cardiology referral in nonwhites, women, and those with lower educational attainment may improve AF outcomes.

Project description:BACKGROUND:Device-detected atrial fibrillation (AF) is associated with increased risk of stroke; however, there are no clearly defined thresholds of AF burden at which to initiate oral anticoagulation (OAC). We sought to describe OAC prescription practice variation in response to new device-detected AF and the association with outcomes. METHODS:We performed a retrospective cohort study using data from the Veterans Health Administration linked to remote monitoring data that included day-level AF burden. We included patients with cardiac implantable electronic devices and remote monitoring from 2011 to 2014, CHA2DS2-VASc score ≥2, and no prior stroke or OAC receipt in the preceding 2 years. We determined the proportion of patients prescribed OAC within 90 days after new device-detected AF across a range of AF thresholds (≥6 minutes to >24 hours) and examined site variation in OAC prescription. We used multivariable Cox proportional hazards regressions to determine the association of OAC prescription with stroke by device-detected AF burden. RESULTS:Among 10 212 patients with cardiac implantable electronic devices, 4570 (45%), 3969 (39%), 3263 (32%), and 2469 (24%) had device-detected AF >6 minutes, >1 hour, >6 hours, and >24 hours, respectively. For device-detected AF >1 hour, 1712 patients met inclusion criteria (72±10 years; 1.5% female; CHA2DS2-VASc score 4.0±1.4; HAS-BLED score 2.6±1.1). The proportion receiving OAC varied based on device-detected AF burden (≥6 minutes: 272/2101 [13%]; >1 hour: 273/1712 [16%]; >6 hours: 263/1279 [21%]; >24 hours: 224/818 [27%]). Across 52 sites (N=1329 patients), there was substantial site-level variation in OAC prescription after device-detected AF >1 hour (median, 16%; range, 3%-67%; median odds ratio, 1.56 [95% credible interval, 1.49-1.71]). In adjusted models, OAC prescription after device-detected AF >24 hours was associated with reduced stroke risk (hazard ratio, 0.28; 95% CI, 0.10-0.81; P=0.02), although the propensity-adjusted model was significant when AF lasted at least 6 minutes. CONCLUSIONS:Among veterans with cardiac implantable electronic devices, device-detected AF is common. There is large practice variation in 90-day OAC initiation after new device-detected AF, with low rates of treatment overall, even for episodes that last >24 hours. The strongest association of OAC with reduction in stroke was observed after device-detected AF >24 hours. Randomized trials are needed to confirm these observational findings.

Project description:Objective. To investigate the contemporary status of stroke risk profile, antithrombotic treatment, and quality-of-life (QoL) of patients with all types of atrial fibrillation (AF) in China. Design. This is a multicenter, cross-sectional study. Setting. Tertiary (80%) and Tier 2 hospitals (20%) were identified in different economic regions (Northeast, East, West, and Middle) by using a simple random sampling. Participants. A total of 3562 (85.6%) patients with nonvalvular atrial fibrillation (NVAF) and 599 (14.4%) with rheumatic valvular atrial fibrillation (VAF) were consecutively enrolled from 111 hospitals from July 2012 to December 2012. Data Collection. Patient information was collected and QoL was assessed using Short-Form 36 Health Survey (SF-36) questionnaire. Primary and Secondary Outcome Measures. The risk of stroke was assessed using the CHADS2 and CHA2DS2-VASc. QoL was assessed using Medical Outcomes Study SF-36 questionnaire. Results. Overall, 31.7% of the patients received anticoagulant treatment and 61.2% received antiplatelet treatment. The rate of anticoagulant treatment was higher in patients with VAF than in those with NVAF. The anticoagulant use was the lowest in Northeast and the highest in Middle regions. Independent risk factors associated with underuse of anticoagulants for NVAF were age, systolic blood pressure (SBP), non-Middle regions, nontertiary hospitals, and new-onset or paroxysmal AF. For VAF patients, the independent factors were age, paroxysmal AF, treatment in Tier 2 hospitals, SBP, diastolic blood pressure, history of coronary artery disease, and nonreceipt of antiarrhythmic therapy. Patients receiving anticoagulants fared significantly better in some QoL domains than those who received no antithrombotic therapy. Conclusions. These findings suggest that antiplatelet treatment is overused and anticoagulant treatment is underused both in Chinese patients with VAF and NVAF, even though usage of anticoagulants is associated with better QoL. Risk factors with underuse of anticoagulants were not identical in patients with NVAF and VAF.

Project description:ObjectiveThe aim was to evaluate, in patients with atrial fibrillation (AF) and acute ischemic stroke, the association of prior anticoagulation with vitamin K antagonists (VKAs) or direct oral anticoagulants (DOACs) with stroke severity, utilization of intravenous thrombolysis (IVT), safety of IVT, and 3-month outcomes.MethodsThis was a cohort study of consecutive patients (2014-2019) on anticoagulation versus those without (controls) with regard to stroke severity, rates of IVT/mechanical thrombectomy, symptomatic intracranial hemorrhage (sICH), and favorable outcome (modified Rankin Scale score 0-2) at 3 months.ResultsOf 8,179 patients (mean [SD] age, 79.8 [9.6] years; 49% women), 1,486 (18%) were on VKA treatment, 1,634 (20%) on DOAC treatment at stroke onset, and 5,059 controls. Stroke severity was lower in patients on DOACs (median National Institutes of Health Stroke Scale 4, [interquartile range 2-11]) compared with VKA (6, [2-14]) and controls (7, [3-15], p < 0.001; quantile regression: β -2.1, 95% confidence interval [CI] -2.6 to -1.7). The IVT rate in potentially eligible patients was significantly lower in patients on VKA (156 of 247 [63%]; adjusted odds ratio [aOR] 0.67; 95% CI 0.50-0.90) and particularly in patients on DOACs (69 of 464 [15%]; aOR 0.06; 95% CI 0.05-0.08) compared with controls (1,544 of 2,504 [74%]). sICH after IVT occurred in 3.6% (2.6-4.7%) of controls, 9 of 195 (4.6%; 1.9-9.2%; aOR 0.93; 95% CI 0.46-1.90) patients on VKA and 2 of 65 (3.1%; 0.4-10.8%, aOR 0.56; 95% CI 0.28-1.12) of those on DOACs. After adjustments for prognostic confounders, DOAC pretreatment was associated with a favorable 3-month outcome (aOR 1.24; 1.01-1.51).InterpretationPrior DOAC therapy in patients with AF was associated with decreased admission stroke severity at onset and a remarkably low rate of IVT. Overall, patients on DOAC might have better functional outcome at 3 months. Further research is needed to overcome potential restrictions for IVT in patients taking DOACs. ANN NEUROL 2021;89:42-53.

Dataset Information

Provider Specialty, Anticoagulation Prescription Patterns, and Stroke Risk in Atrial Fibrillation.

Background

Methods and results

Conclusions

Publications

Provider Specialty, Anticoagulation Prescription Patterns, and Stroke Risk in Atrial Fibrillation.

Similar Datasets

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