Background: The association between ideal cardiovascular health (ICVH) status and atrial fibrillation or flutter (AFF) diagnosis has been less studied compared to other cardiovascular diseases.
Objective: To analyze the association between AFF diagnosis and ICVH metrics and scores in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).
Methods: This study analyzed data from 13,141 participants with complete data. Electrocardiographic tracings were coded according to the Minnesota Coding System, in a centralized reading center. ICVH metrics (diet, physical activity, body mass index, smoking, blood pressure, fasting plasma glucose, and total cholesterol) and scores were calculated as proposed by the American Heart Association. Crude and adjusted binary logistic regression models were built to analyze the association of ICVH metrics and scores with AFF diagnosis. Significance level was set at 0.05.
Results: The sample had a median age of 55 years and 54.4% were women. In adjusted models, ICVH scores were not significantly associated with prevalent AFF diagnosis (odds ratio [OR]:0.96; 95% confidence interval [95% CI]:0.80-1.16; p=0.70). Ideal blood pressure (OR:0.33; 95% CI:0.15-0.74; p=0.007) and total cholesterol (OR:1.88; 95% CI:1.19-2.98; p=0.007) profiles were significantly associated with AFF diagnosis.
Conclusions: No significant associations were identified between global ICVH scores and AFF diagnosis after multivariable adjustment in our analyses, at least partially due to the antagonistic associations of AFF with blood pressure and total cholesterol ICVH metrics. Our results suggest that estimating the prevention of AFF burden using global ICVH scores may not be adequate, and ICVH metrics should be considered in separate.
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http://dx.doi.org/10.36660/abc.20210970 | DOI Listing |
Health Aff (Millwood)
January 2025
Julie M. Zissimopoulos University of Southern California.
In 2020, the Centers for Medicare and Medicaid Services reintroduced Alzheimer's disease and related dementias to its risk-adjustment payment model for Medicare Advantage (MA) plans. Using 2017-20 data for 100 percent of community-dwelling beneficiaries enrolled in Medicare, we evaluated how the reintroduction of dementia to the risk-adjustment model affected rates of new (incident) dementia diagnoses among beneficiaries enrolled in MA relative to those enrolled in traditional Medicare. In response to the payment change, annual incident dementia diagnosis rates in MA increased by 11.
View Article and Find Full Text PDFHealth Aff (Millwood)
January 2025
David J. Meyers, Brown University.
Under the current Medicare Advantage (MA) risk-adjustment system, plans are incentivized to report diagnosis codes on enrollees' medical claims reflecting additional and more severe health conditions to increase enrollees' risk scores and corresponding plan payments. To improve the integrity of risk adjustment, researchers have proposed four alternative methods to construct risk scores: calculate Hierarchical Condition Categories (HCC) scores excluding diagnosis codes from health risk assessments and chart reviews, calculate HCC scores excluding diagnosis codes most subject to score inflation, use pharmaceutical claims alone, and use self-reported survey responses alone or in combination with diagnosis codes. Using 2016-19 medical and pharmaceutical claims linked to Consumer Assessment of Healthcare Providers and Systems survey responses from 151,432 MA enrollees, we compared the predictive accuracy of each alternative strategy with the standard HCC approach.
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January 2025
Daniel Waldo, Actuarial Research Corporation.
Medicare Advantage (MA) plans report diagnoses more completely than they are reported in traditional Medicare. As a result, payment to MA plans is greater than it would be if coding patterns were identical in the two sectors. The Medicare Payment Advisory Commission estimates that the overpayment to MA attributable to differential coding was $50 billion in 2024.
View Article and Find Full Text PDFHealth Aff (Millwood)
January 2025
Michael E. Chernew, Harvard University.
A core problem with the current risk-adjustment system in Medicare Advantage and accountable care organization (ACO) programs-the Hierarchical Condition Categories (HCC) model-is that the inputs (coded diagnoses) can be influenced for gain by risk-bearing plans or providers. Using existing survey data on health status (which provide less manipulable inputs), we found that the use of a hybrid risk score drawing from survey data and a scaled-back set of HCCs would, in addition to mitigating coding incentives, modestly lessen risk-selection incentives, strengthen payment incentives to deliver efficient care, allocate payment across ACOs more efficiently according to markers of population health that are not as affected by practice patterns or coding efforts, and redistribute payment in a manner that supports equity goals. Although sampling error and survey nonresponse present challenges, analyses suggest that these should not be prohibitive.
View Article and Find Full Text PDFBMC Oral Health
December 2024
Department of Oral and Maxillofacial Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Background: While the surgical treatment of mandibular stage 3 medication-related osteonecrosis of the jaw (MRONJ) is well-documented, research on maxillary stage 3 MRONJ is limited. Antiresorptive medications can induce MRONJ and atypical femoral fracture (AFF), but their impact on the feasibility of using fibula flaps for reconstruction remains controversial. This study aimed to assess the surgical outcomes and functional recovery of fibula flap reconstruction for maxillary stage 3 MRONJ, considering both recipient and donor site outcomes.
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