Dataset Information

Geographic Disparities in the Incidence of Stroke among Patients with Atrial Fibrillation in the United States.

ABSTRACT: AIM:To determine whether regional variation in stroke incidence exists among individuals with AF. METHODS:Using healthcare utilization claims from 2 large US databases, MarketScan (2007-2014) and Optum Clinformatics (2009-2015), and the 2010 US population as the standard, we estimated age-, sex-, race- (only in Optum) standardized stroke incidence rates by the 9 US census divisions. We also used Poisson regression to examine incidence rate ratios (IRR) of stroke and the probability of anticoagulation prescription fills across divisions. RESULTS:Both databases combined included 970,683 patients with AF who experienced 15,543 strokes, with a mean follow-up of 23 months. In MarketScan, the age- and sex-standardized stroke incidence rate was highest in the Middle Atlantic and East South Central divisions at 3.8/1000 person-years (PY) and lowest in the West North Central at 3.2/1000 PY. The IRR of stroke and the probability of anticoagulation fills were similar across divisions. In Optum Clinformatics, the age-, sex-, and race-standardized stroke incidence rate was highest in the East North Central division at 5.0/1000 PY and lowest in the New England division at 3.3/1000 PY. IRR of stroke and the probability of anticoagulation fills differed across divisions when compared to New England. CONCLUSIONS:These findings suggest regional differences in stroke incidence among AF patients follow a pattern that differs from the hypothesized trend found in the general population and that other factors may be responsible for this new pattern. Cross-database differences provide a cautionary tale for the identification of regional variation using health claims data.

SUBMITTER: Claxton JS

PROVIDER: S-EPMC6475902 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Geographic Disparities in the Incidence of Stroke among Patients with Atrial Fibrillation in the United States.

Claxton J'Neka S JS Lutsey Pamela L PL MacLehose Richard F RF Chen Lin Y LY Lewis Tené T TT Alonso Alvaro A

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 20181221 4

<h4>Aim</h4>To determine whether regional variation in stroke incidence exists among individuals with AF.<h4>Methods</h4>Using healthcare utilization claims from 2 large US databases, MarketScan (2007-2014) and Optum Clinformatics (2009-2015), and the 2010 US population as the standard, we estimated age-, sex-, race- (only in Optum) standardized stroke incidence rates by the 9 US census divisions. We also used Poisson regression to examine incidence rate ratios (IRR) of stroke and the probabilit ...[more]

PMID: 30583824

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Project description:COVID-19 is an important public health concern due to its high morbidity, mortality and socioeconomic impact. Its burden varies by geographic location affecting some communities more than others. Identifying these disparities is important for guiding health planning and service provision. Therefore, this study investigated geographical disparities and temporal changes of the percentage of positive COVID-19 tests and COVID-19 incidence risk in North Dakota. COVID-19 retrospective data on total number of tests and confirmed cases reported in North Dakota from March 2020 to September 2021 were obtained from the North Dakota COVID-19 Dashboard and Department of Health, respectively. Monthly incidence risks of the disease were calculated and reported as number of cases per 100,000 persons. To adjust for geographic autocorrelation and the small number problem, Spatial Empirical Bayesian (SEB) smoothing was performed using queen spatial weights. Identification of high-risk geographic clusters of percentages of positive tests and COVID-19 incidence risks were accomplished using Tango's flexible spatial scan statistic. ArcGIS was used to display and visiualize the geographic distribution of percentages of positive tests, COVID-19 incidence risks, and high-risk clusters. County-level percentages of positive tests and SEB incidence risks varied by geographic location ranging from 0.11% to 13.67% and 122 to 16,443 cases per 100,000 persons, respectively. Clusters of high percentages of positive tests were consistently detected in the western part of the state. High incidence risks were identified in the central and south-western parts of the state, where significant high-risk spatial clusters were reported. Additionally, two peaks (August 2020-December 2020 and August 2021-September 2021) and two non-peak periods of COVID-19 incidence risk (March 2020-July 2020 and January 2021-July 2021) were observed. Geographic disparities in COVID incidence risks exist in North Dakota with high-risk clusters being identified in the rural central and southwest parts of the state. These findings are useful for guiding intervention strategies by identifying high risk communities so that resources for disease control can be better allocated to communities in need based on empirical evidence. Future studies will investigate predictors of the identified disparities so as to guide planning, disease control and health policy.

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Project description:Background and Purpose- It is unclear whether atrial fibrillation/flutter (AF) newly diagnosed after ischemic stroke represents a preexisting risk factor that led to stroke, an arrhythmia triggered by poststroke autonomic dysfunction, or an incidental finding. Methods- We compared AF incidence after hospitalizations for ischemic stroke, hemorrhagic stroke, and nonstroke conditions using inpatient and outpatient claims between 2008 and 2015 from a nationally representative 5% sample of Medicare beneficiaries. We used validated International Classification of Diseases, Ninth Revision, Clinical Modification ( ICD-9-CM) codes to identify AF-free patients hospitalized with ischemic or hemorrhagic stroke and matched them in a 1:1 ratio by age, sex, race, calendar year, vascular risk factors, and Charlson comorbidities. We then matched the combined stroke cohort in a 1:1 ratio to patients hospitalized for nonstroke diagnoses. We used survival statistics and Cox regression to compare postdischarge AF incidence among groups. Results- We matched 2580 patients with ischemic stroke, 2580 with hemorrhagic stroke, and 5160 patients with other conditions. The annual postdischarge AF incidence was 3.4% (95% CI, 3.1%-3.7%) after ischemic stroke, 2.2% (95% CI, 1.9%-2.4%) after hemorrhagic stroke, and 2.9% (95% CI, 2.6%-3.1%) after nonstroke hospitalization. Ischemic stroke was associated with a somewhat higher risk of AF than hemorrhagic stroke (hazard ratio, 1.5; 95% CI, 1.3-1.8) or nonstroke conditions (hazard ratio, 1.2; 95% CI, 1.1-1.3). The latter association attenuated in sensitivity analyses limiting the outcome to AF diagnoses made by cardiologists (hazard ratio, 1.1; 95% CI, 0.8-1.5) or limiting the outcome to a minimum of 2 AF claims on separate dates (hazard ratio, 1.2; 95% CI, 1.0-1.5; P=0.09). Conclusions- New diagnoses of AF were more common after hospitalization for ischemic stroke than after hospitalization for hemorrhagic stroke or nonstroke conditions, but all hospitalized patients had a substantial incidence of new AF diagnoses after discharge and differences were attenuated when using more stringent definitions.

Dataset Information

Geographic Disparities in the Incidence of Stroke among Patients with Atrial Fibrillation in the United States.

Publications

Geographic Disparities in the Incidence of Stroke among Patients with Atrial Fibrillation in the United States.

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