Publications

2019

Khatana, Sameed Ahmed M, Anjali Bhatla, Ashwin S Nathan, Jay Giri, Changyu Shen, Dhruv S Kazi, Robert W Yeh, and Peter W Groeneveld. (2019) 2019. “Association of Medicaid Expansion With Cardiovascular Mortality.”. JAMA Cardiology 4 (7): 671-79. https://doi.org/10.1001/jamacardio.2019.1651.
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IMPORTANCE: Medicaid expansion under the Patient Protection and Affordable Care Act led to one of the largest gains in health insurance coverage for nonelderly adults in the United States. However, its association with cardiovascular mortality is unclear.

OBJECTIVE: To investigate the association of Medicaid expansion with cardiovascular mortality rates in middle-aged adults.

DESIGN, SETTING, AND PARTICIPANTS: This study used a longitudinal, observational design, using a difference-in-differences approach with county-level data from counties in 48 states (excluding Massachusetts and Wisconsin) and Washington, DC, from 2010 to 2016. Adults aged 45 to 64 years were included. Data were analyzed from November 2018 to January 2019.

EXPOSURES: Residence in a Medicaid expansion state.

MAIN OUTCOMES AND MEASURES: Difference-in-differences of annual, age-adjusted cardiovascular mortality rates from before Medicaid expansion to after expansion.

RESULTS: As of 2016, 29 states and Washington, DC, had expanded Medicaid eligibility, while 19 states had not. Compared with counties in Medicaid nonexpansion states, counties in expansion states had a greater decrease in the percentage of uninsured residents at all income levels (mean [SD], 7.3% [3.2%] vs 5.6% [2.7%]; P < .001) and in low income strata (19.8% [5.5%] vs 13.5% [3.9%]; P < .001) between 2010 and 2016. Counties in expansion states had a smaller change in cardiovascular mortality rates after expansion (146.5 [95% CI, 132.4-160.7] to 146.4 [95% CI, 131.9-161.0] deaths per 100 000 residents per year) than counties in nonexpansion states did (176.3 [95% CI, 154.2-198.5] to 180.9 [95% CI, 158.0-203.8] deaths per 100 000 residents per year). After accounting for demographic, clinical, and economic differences, counties in expansion states had 4.3 (95% CI, 1.8-6.9) fewer deaths per 100 000 residents per year from cardiovascular causes after Medicaid expansion than if they had followed the same trends as counties in nonexpansion states.

CONCLUSIONS AND RELEVANCE: Counties in states that expanded Medicaid had a significantly smaller increase in cardiovascular mortality rates among middle-aged adults after expansion compared with counties in states that did not expand Medicaid. These findings suggest that recent Medicaid expansion was associated with lower cardiovascular mortality in middle-aged adults and may be of consideration as further expansion of Medicaid is debated.

Delling, Francesca N, Eric Vittinghoff, Thomas A Dewland, Mark J Pletcher, Jeffrey E Olgin, Gregory Nah, Kirstin Aschbacher, et al. (2019) 2019. “Does Cannabis Legalisation Change Healthcare Utilisation? A Population-Based Study Using the Healthcare Cost and Utilisation Project in Colorado, USA.”. BMJ Open 9 (5): e027432. https://doi.org/10.1136/bmjopen-2018-027432.
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OBJECTIVE: To assess the effect of cannabis legalisation on health effects and healthcare utilisation in Colorado (CO), the first state to legalise recreational cannabis, when compared with two control states, New York (NY) and Oklahoma (OK).

DESIGN: We used the 2010 to 2014 Healthcare Cost and Utilisation Project (HCUP) inpatient databases to compare changes in rates of healthcare utilisation and diagnoses in CO versus NY and OK.

SETTING: Population-based, inpatient.

PARTICIPANTS: HCUP state-wide data comprising over 28 million individuals and over 16 million hospitalisations across three states.

MAIN OUTCOME MEASURES: We used International Classification of Diseases-Ninth Edition codes to assess changes in healthcare utilisation specific to various medical diagnoses potentially treated by or exacerbated by cannabis. Diagnoses were classified based on weight of evidence from the National Academy of Science (NAS). Negative binomial models were used to compare rates of admissions between states.

RESULTS: In CO compared with NY and OK, respectively, cannabis abuse hospitalisations increased (risk ratio (RR) 1.27, 95% CI 1.26 to 1.28 and RR 1.16, 95% CI 1.15 to 1.17; both p<0.0005) post-legalisation. In CO, there was a reduction in total admissions but only when compared with OK (RR 0.97, 95% CI 0.96 to 0.98, p<0.0005). Length of stay and costs did not change significantly in CO compared with NY or OK. Post-legalisation changes most consistent with NAS included an increase in motor vehicle accidents, alcohol abuse, overdose injury and a reduction in chronic pain admissions (all p<0.05 compared with each control state).

CONCLUSIONS: Recreational cannabis legalisation is associated with neutral effects on healthcare utilisation. In line with previous evidence, cannabis liberalisation is linked to an increase in motor vehicle accidents, alcohol abuse, overdose injuries and a decrease in chronic pain admissions. Such population-level effects may help guide future decisions regarding cannabis use, prescription and policy.

Wadhera, Rishi K, Karen E Joynt Maddox, Dhruv S Kazi, Changyu Shen, and Robert W Yeh. (2019) 2019. “Hospital Revisits Within 30 Days After Discharge for Medical Conditions Targeted by the Hospital Readmissions Reduction Program in the United States: National Retrospective Analysis.”. BMJ (Clinical Research Ed.) 366: l4563. https://doi.org/10.1136/bmj.l4563.
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OBJECTIVE: To determine any changes in total hospital revisits within 30 days of discharge after a hospital stay for medical conditions targeted by the Hospital Readmissions Reduction Program (HRRP).

DESIGN: Retrospective cohort study.

SETTING: Hospital stays among Medicare patients for heart failure, acute myocardial infarction, or pneumonia between 1 January 2012 and 1 October 2015.

PARTICIPANTS: Medicare fee-for-service patients aged 65 or over.

MAIN OUTCOMES: Total hospital revisits within 30 days of discharge after hospital stays for medical conditions targeted by the HRRP, and by type of revisit: treat-and-discharge visit to an emergency department, observation stay (not leading to inpatient readmission), and inpatient readmission. Patient subgroups (age, sex, race) were also evaluated for each type of revisit.

RESULTS: Our study cohort included 3 038 740 total index hospital stays from January 2012 to September 2015: 1 357 620 for heart failure, 634 795 for acute myocardial infarction, and 1 046 325 for pneumonia. Counting all revisits after discharge, the total number of hospital revisits per 100 patient discharges for target conditions increased across the study period (monthly increase 0.023 visits per 100 patient discharges (95% confidence interval 0.010 to 0.035)). This change was due to monthly increases in treat-and-discharge visits to an emergency department (0.023 (0.015 to 0.032) and observation stays (0.022 (0.020 to 0.025)), which were only partly offset by declines in readmissions (-0.023 (-0.035 to -0.012)). Increases in observation stay use were more pronounced among non-white patients than white patients. No significant change was seen in mortality within 30 days of discharge for target conditions (-0.0034 (-0.012 to 0.0054)).

CONCLUSIONS: In the United States, total hospital revisits within 30 days of discharge for conditions targeted by the HRRP increased across the study period. This increase was due to a rise in post-discharge emergency department visits and observation stays, which exceeded the decline in readmissions. Although reductions in readmissions have been attributed to improvements in discharge planning and care transitions, our findings suggest that these declines could instead be because hospitals and clinicians have intensified efforts to treat patients who return to a hospital within 30 days of discharge in emergency departments and as observation stays.

Lin, John K, Andrew E Moran, Kirsten Bibbins-Domingo, Bode Falase, Andrea Pedroza Tobias, Charuta N Mandke, and Dhruv S Kazi. (2019) 2019. “Cost-Effectiveness of a Fixed-Dose Combination Pill for Secondary Prevention of Cardiovascular Disease in China, India, Mexico, Nigeria, and South Africa: A Modelling Study.”. The Lancet. Global Health 7 (10): e1346-e1358. https://doi.org/10.1016/S2214-109X(19)30339-0.
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BACKGROUND: Fewer than 25% of patients with atherosclerotic cardiovascular disease in countries of low and middle income (LMICs) use guideline-directed drugs for secondary prevention. A fixed-dose combination polypill might improve cardiovascular outcomes by increasing prescription rates and adherence, but the cost-effectiveness of this approach is uncertain.

METHODS: We developed microsimulation models to assess the cost-effectiveness of a polypill containing aspirin, lisinopril, atenolol, and simvastatin for secondary prevention of atherosclerotic cardiovascular disease compared with current care in China, India, Mexico, Nigeria, and South Africa. We modelled baseline use of secondary prevention drugs on the Prospective Urban Rural Epidemiological study. In the intervention arm, we assumed that patients currently prescribed any prevention drug for atherosclerotic cardiovascular disease would receive the polypill instead, which would improve adherence by 32% (from a meta-analysis of two randomised trials in LMICs). We assessed the cost-effectiveness of the polypill at prices in the public sector and on the retail market. Key outcomes were major adverse cardiovascular events (cardiovascular death, non-fatal myocardial infarction, or non-fatal stroke) over a 5-year period and the incremental cost-effectiveness ratio (ICER) from the perspective of the health-care sector and a lifetime analytical horizon. We assumed a cost-effectiveness threshold equal to each country's per capita gross domestic product (GDP) per disability-adjusted life-year (DALY) averted. In sensitivity analyses, we examined the population health effect achievable by increasing the uptake of the polypill in the eligible population.

FINDINGS: Among adults aged 30-84 years with established atherosclerotic cardiovascular disease, adoption of the polypill for secondary prevention compared with current care was projected to avert 40-54 major adverse cardiovascular events for every 1000 patients treated for 5 years and produce between three and ten additional serious adverse events. Assuming public-sector pharmaceutical prices, the ICER of the polypill compared with current care over a lifetime analytical horizon was Int$168 (95% UI 55 to 337) per DALY averted in China, $154 (57 to 289) in India, $88 (15 to 193) in Mexico, $364 (147 to 692) in Nigeria, and $64 (cost-saving to 203) in South Africa, amounting to 0·4-6·2% of the per capita GDP in these countries. The ICER of the polypill compared with current care increased to 3·3-14·6% of the per capita GDP at retail market pharmaceutical prices. Use of the polypill at current rates of prescription of secondary prevention drugs would produce modest health benefits, reducing DALYs from atherosclerotic cardiovascular disease among patients with established disease by 3·1-10·1% over 10 years. Increasing use to 50% or 75% of the eligible population would produce substantially larger health gains (up to 24·3% atherosclerotic cardiovascular disease DALYs averted).

INTERPRETATION: The polypill is projected to be cost-effective compared with current care for secondary prevention of atherosclerotic cardiovascular disease in China, India, Mexico, Nigeria, and South Africa, particularly if it is made available at public-sector pricing. However, achieving meaningful improvements in cardiovascular health will require simultaneous investments in health infrastructure to increase the uptake of the polypill among patients with established atherosclerotic cardiovascular disease.

FUNDING: Richard A and Susan F Smith Center for Outcomes Research in Cardiology, Hellman Family Foundation, Department of Veterans Affairs, and University of California at San Francisco.

Kohli-Lynch, Ciaran N, Brandon K Bellows, George Thanassoulis, Yiyi Zhang, Mark J Pletcher, Eric Vittinghoff, Michael J Pencina, Dhruv Kazi, Allan D Sniderman, and Andrew E Moran. (2019) 2019. “Cost-Effectiveness of Low-Density Lipoprotein Cholesterol Level-Guided Statin Treatment in Patients With Borderline Cardiovascular Risk.”. JAMA Cardiology 4 (10): 969-77. https://doi.org/10.1001/jamacardio.2019.2851.
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IMPORTANCE: American College of Cardiology/American Heart Association cholesterol guidelines prioritize primary prevention statin therapy based on 10-year absolute risk (AR10) of atherosclerotic cardiovascular disease (ASCVD). However, given the same AR10, patients with higher levels of low-density lipoprotein cholesterol (LDL-C) experience greater absolute risk reduction from statin therapy.

OBJECTIVES: To estimate the cost-effectiveness of expanding preventive statin treatment eligibility from standard care to patients at borderline risk (AR10, 5.0%-7.4%) for ASCVD and with high levels of LDL-C and to estimate cost-effectiveness of statin treatment across ranges of age, sex, AR10, and LDL-C levels.

DESIGN, SETTING, AND PARTICIPANTS: This study evaluated 100 simulated cohorts, each including 1 million ASCVD-free survey respondents (50% men and 50% women) aged 40 years at baseline. Cohorts were created by probabilistic sampling of the 1999-2014 US National Health and Nutrition Examination Surveys from the perspective of the US health care sector. The CVD Policy Model microsimulation version projected lifetime health and cost outcomes. Probability of first-ever coronary heart disease or stroke event was estimated by analysis of 6 pooled US cohort studies and recalibrated to match contemporary event rates. Other model variables were derived from national surveys, meta-analyses, and published literature. Data were analyzed from May 15, 2018, through June 10, 2019.

EXPOSURES: Four statin treatment strategies were compared: (1) treat all patients with AR10 of at least 7.5%, diabetes, or LDL-C of at least 190 mg/dL (standard care); (2) add treatment for borderline risk and LDL-C levels of 160 to 189 mg/dL; (3) add treatment for borderline risk and LDL-C levels of 130 to 159 mg/dL; and (4) add treatment for remainder of patients with AR10 of at least 5.0%. Statin treatment was also compared with no statin treatment in age, sex, AR10, and LDL-C strata.

MAIN OUTCOMES AND MEASURES: Lifetime quality-adjusted life-years (QALYs) and costs (2019 US dollars) were projected and discounted 3.0% annually. The primary outcome was the incremental cost-effectiveness ratio.

RESULTS: In these 100 simulated cohorts, each with 1 million patients aged 40 years at baseline (50% women and 50% men), adding preventive statins to individuals with borderline AR10 and LDL-C levels of 160 to 189 mg/dL would be cost-saving; further treating borderline AR10 and LDL-C levels of 130 to 159 mg/dL would also be cost-saving; and treating all individuals with AR10 of at least 5.0% would be highly cost-effective ($33 558/QALY) and would prevent the most ASCVD events. Within age, AR10, and sex categories, individuals with higher baseline LDL-C levels gained more QALYs from statin therapy. Cost-effectiveness increased with LDL-C level and AR10.

CONCLUSIONS AND RELEVANCE: In this study, lifetime statin treatment of patients in a hypothetical cohort with borderline ASCVD risk and LDL-C levels of 160 to 189 mg/dL was found to be cost-saving. Results suggest that treating all patients at borderline risk regardless of LDL-C level would likely be highly cost-effective.

Kazi, Dhruv S, and Salim S Virani. (2019) 2019. “Implications of Cost-Effectiveness Analyses of Lipid-Lowering Therapies: From the Policy-Maker’s Desk to the Patient’s Bedside.”. Progress in Cardiovascular Diseases 62 (5): 406-13. https://doi.org/10.1016/j.pcad.2019.10.006.
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In our increasingly cost-conscious health system, patients, clinicians, hospitals, and payers all agree about the urgent need to rein in runaway healthcare costs. High pharmaceutical costs make drugs unaffordable to many patients who may benefit from them, including some insured patients who face prohibitive out-of-pocket costs. Health systems and payers can use the systematic framework of cost-effectiveness analysis and estimated budgetary impact to prioritize the adoption of new therapies and technologies. In this review article, we discuss basic principles of cost-effectiveness research for practicing clinicians, the concept of cost-effectiveness versus affordability, other considerations relevant to resource allocation, and limitations of cost-effectiveness research. We use the example of lipid lowering therapies to discuss application of cost-effectiveness research in informing health care policy, its use for health care systems and in the development of clinical practice guidelines, and its implications for clinicians and patients. As clinicians and patients become more cognizant of the cost-implications of new therapies, professional societies can help improve the quality of decision-making by incorporating unbiased value statements into their expert guidelines.

Kundi, Harun, Rishi K Wadhera, Jordan B Strom, Linda R Valsdottir, Changyu Shen, Dhruv S Kazi, and Robert W Yeh. (2019) 2019. “Association of Frailty With 30-Day Outcomes for Acute Myocardial Infarction, Heart Failure, and Pneumonia Among Elderly Adults.”. JAMA Cardiology 4 (11): 1084-91. https://doi.org/10.1001/jamacardio.2019.3511.
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IMPORTANCE: The addition of a claims-based frailty metric to traditional comorbidity-based risk-adjustment models for acute myocardial infarction (AMI), heart failure (HF), and pneumonia improves the prediction of 30-day mortality and readmission. This may have important implications for hospitals that tend to care for frail populations and participate in Centers for Medicare & Medicaid Services value-based payment programs, which use these risk-adjusted metrics to determine reimbursement.

OBJECTIVE: To determine whether the addition of frailty measures to traditional comorbidity-based risk-adjustment models improved prediction of outcomes for patients with AMI, HF, and pneumonia.

DESIGN, SETTING, AND PARTICIPANTS: A nationwide cohort study included Medicare fee-for-service beneficiaries 65 years and older in the United States between January 1 and December 1, 2016. Analysis began August 2018.

MAIN OUTCOMES AND MEASURES: Rates of mortality within 30 days of admission and 30 days of discharge, as well as 30-day readmission rates by frailty group. We evaluated the incremental effect of adding the Hospital Frailty Risk Score (HFRS) to current comorbidity-based risk-adjustment models for 30-day outcomes across all conditions.

RESULTS: For 785 127 participants, there were 166 200 hospitalizations [21.2%] for AMI, 348 619 [44.4%] for HF, and 270 308 [34.4%] for pneumonia. The mean (SD) age at the time of hospitalization was 79.2 (8.9) years; 656 315 (83.6%) were white and 402 639 (51.3%) were women. The mean (SD) HFRS was 7.3 (7.4) for patients with AMI, 10.8 (8.3) for patients with HF, and 8.2 (5.7) for patients with pneumonia. Among patients hospitalized for AMI, an HFRS more than 15 (compared with an HFRS <5) was associated with a higher risk of 30-day postadmission mortality (adjusted odds ratio [aOR], 3.6; 95% CI, 3.4-3.8), 30-day postdischarge mortality (aOR, 4.0; 95% CI, 3.7-4.3), and 30-day readmission (aOR, 3.0; 95% CI, 2.9-3.1) after multivariable adjustment for age, sex, race, and comorbidities. Similar patterns were observed for patients hospitalized with HF (30-day postadmission mortality: aOR, 3.5; 95% CI, 3.4-3.7; 30-day postdischarge mortality: aOR, 3.5; 95% CI, 3.3-3.6; and 30-day readmission: aOR, 2.9; 95% CI, 2.8-3.0) and among patients with pneumonia (30-day postadmission mortality: aOR, 2.5; 95% CI, 2.3-2.6; 30-day postdischarge mortality: aOR, 3.0; 95% CI, 2.9-3.2; and 30-day readmission: aOR, 2.8; 95% CI, 2.7-2.9). The addition of HFRS to traditional comorbidity-based risk-prediction models improved discrimination to predict outcomes for all 3 conditions.

CONCLUSIONS AND RELEVANCE: Among Medicare fee-for-service beneficiaries, frailty as measured by the HFRS was associated with mortality and readmissions among patients hospitalized for AMI, HF, or pneumonia. The addition of HFRS to traditional comorbidity-based risk-prediction models improved the prediction of outcomes for all 3 conditions.

  • Aggarwal, Rahul, Kirsten Bibbins-Domingo, Robert W Yeh, Yang Song, Nicholas Chiu, Rishi K Wadhera, Changyu Shen, and Dhruv S Kazi. (2022) 2022. “Diabetes Screening by Race and Ethnicity in the United States: Equivalent Body Mass Index and Age Thresholds.”. Annals of Internal Medicine 175 (6): 765-73. https://doi.org/10.7326/M20-8079.
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    BACKGROUND: Racial/ethnic minority populations in the United States have increased rates of diabetes compared with White populations. The 2021 guidelines from the U.S. Preventive Services Task Force recommend diabetes screening for adults aged 35 to 70 years with a body mass index (BMI) of 25 kg/m2 or greater.

    OBJECTIVE: To determine the BMI threshold for diabetes screening in major racial/ethnic minority populations with benefits and harms equivalent to those of the current diabetes screening threshold in White adults.

    DESIGN: Cross-sectional study.

    SETTING: NHANES (National Health and Nutrition Examination Survey), 2011 to 2018.

    PARTICIPANTS: Nonpregnant U.S. adults aged 18 to 70 years (n = 19 335).

    MEASUREMENTS: A logistic regression model was used to estimate diabetes prevalence at various BMIs for White, Asian, Black, and Hispanic Americans. For each racial/ethnic minority group, the equivalent BMI threshold was defined as the BMI at which the prevalence of diabetes in 35-year-old persons in that group is equal to that in 35-year-old White adults at a BMI of 25 kg/m2. Ranges were estimated to account for the uncertainty in prevalence estimates for White and racial/ethnic minority populations.

    RESULTS: Among adults aged 35 years with a BMI of 25 kg/m2, the prevalence of diabetes in Asian Americans (3.8% [95% CI, 2.8% to 5.1%]), Black Americans (3.5% [CI, 2.7% to 4.7%]), and Hispanic Americans (3.0% [CI, 2.1% to 4.2%]) was significantly higher than that in White Americans (1.4% [CI, 1.0% to 2.0%]). Compared with a BMI threshold of 25 kg/m2 in White Americans, the equivalent BMI thresholds for diabetes prevalence were 20 kg/m2 (range, <18.5 to 23 kg/m2) for Asian Americans, less than 18.5 kg/m2 (range, <18.5 to 23 kg/m2) for Black Americans, and 18.5 kg/m2 (range, <18.5 to 24 kg/m2) for Hispanic Americans.

    LIMITATION: Sample size limitations precluded assessment of heterogeneity within racial/ethnic groups.

    CONCLUSION: Among U.S. adults aged 35 years or older, offering diabetes screening to Black Americans and Hispanic Americans with a BMI of 18.5 kg/m2 or greater and Asian Americans with a BMI of 20 kg/m2 or greater would be equivalent to screening White adults with a BMI of 25 kg/m2 or greater. Using screening thresholds specific to race/ethnicity has the potential to reduce disparities in diabetes diagnosis.

    PRIMARY FUNDING SOURCE: Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology.

  • Almarzooq, Zaid I, Dhruv S Kazi, Yun Wang, Mabel Chung, Wei Tian, Jordan B Strom, Suzanne J Baron, and Robert W Yeh. (2022) 2022. “Outcomes of Stroke Events During Transcatheter Aortic Valve Implantation.”. EuroIntervention : Journal of EuroPCR in Collaboration With the Working Group on Interventional Cardiology of the European Society of Cardiology 18 (4): e335-e344. https://doi.org/10.4244/EIJ-D-21-00951.
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    BACKGROUND: Despite improvements in the safety of transcatheter aortic valve implantation (TAVI),  4% of patients experience a procedure-related stroke. Understanding long-term health and healthcare implications of these events may motivate the development and adoption of preventative strategies.  Aims: We aimed to assess the association of TAVI-related ischaemic stroke with subsequent clinical outcomes and healthcare utilisation.

    METHODS: We used Medicare fee-for-service claims to identify patients who underwent their first TAVI between January 2012 and December 2017. Previously used ICD-9-CM and ICD-10-CM codes were used to identify TAVI-related ischaemic stroke. Among those with and without TAVI-related ischaemic stroke, we compared the risk of a composite endpoint that included all-cause mortality, acute myocardial infarction, and subsequent stroke using inverse probability treatment weighted Cox regression. We also performed a difference-in-difference analysis to compare 1-year Medicare expenditures and days spent at home during the first year after TAVI.

    RESULTS:  Among 129,628 primary TAVI patients, 5,549 (4.3%) had a procedure-related stroke. These patients were more likely to be female and have had prior stroke, peripheral vascular disease, ischaemic heart disease, or renal failure. After adjustment, TAVI-related ischaemic stroke was associated with a higher risk of the 1-year composite outcome (HR 1.67, 95% CI: 1.56-1.78), higher 1-year Medicare expenditures (difference $9,245 [standard error 790], p<0.001), and fewer days at home during the first year (difference 16 days [standard error 1], p<0.001).

    CONCLUSIONS: Among Medicare beneficiaries undergoing TAVI, procedure-related ischaemic stroke was associated with worse outcomes, increased Medicare expenditures, and less time spent at home. Procedure-related ischaemic stroke during TAVI remains a critically important and potentially preventable source of patient mortality, morbidity and healthcare utilisation.

  • Bellows, Brandon K, Amit Khera V, Yiyi Zhang, Natalia Ruiz-Negrón, Henry M Stoddard, John B Wong, Dhruv S Kazi, Sarah D de Ferranti, and Andrew E Moran. (2022) 2022. “Estimated Yield of Screening for Heterozygous Familial Hypercholesterolemia With and Without Genetic Testing in US Adults.”. Journal of the American Heart Association 11 (11): e025192. https://doi.org/10.1161/JAHA.121.025192.
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    Background Heterozygous familial hypercholesterolemia (FH) is a common genetic disorder causing premature cardiovascular disease. Despite this, there is no national screening program in the United States to identify individuals with FH or likely pathogenic FH genetic variants. Methods and Results The clinical characteristics and FH variant status of 49 738 UK Biobank participants were used to develop a regression model to predict the probability of having any FH variants. The regression model and modified Dutch Lipid Clinic Network criteria were applied to 39 790 adult participants (aged ≥20 years) in the National Health and Nutrition Examination Survey to estimate the yield of FH screening programs using Dutch Lipid Clinic Network clinical criteria alone (excluding genetic variant status), genetic testing alone, or combining clinical criteria with genetic testing. The regression model accurately predicted FH variant status in UK Biobank participants (observed prevalence, 0.27%; predicted, 0.26%; area under the receiver-operator characteristic curve, 0.88). In the National Health and Nutrition Examination Survey, the estimated yield per 1000 individuals screened (95% CI) was 3.7 (3.0-4.6) FH cases with the Dutch Lipid Clinic Network clinical criteria alone, 3.8 (2.7-5.1) cases with genetic testing alone, and 6.6 (5.3-8.0) cases by combining clinical criteria with genetic testing. In young adults aged 20 to 39 years, using clinical criteria alone was estimated to yield 1.3 (95% CI, 0.6-2.5) FH cases per 1000 individuals screened, which was estimated to increase to 4.2 (95% CI, 2.6-6.4) FH cases when combining clinical criteria with genetic testing. Conclusions Screening for FH using a combination of clinical criteria with genetic testing may increase identification and the opportunity for early treatment of individuals with FH.

  • Islam, Shabatun J, Gargya Malla, Robert W Yeh, Arshed A Quyyumi, Dhruv S Kazi, Wei Tian, Yang Song, et al. (2022) 2022. “County-Level Social Vulnerability Is Associated With In-Hospital Death and Major Adverse Cardiovascular Events in Patients Hospitalized With COVID-19: An Analysis of the American Heart Association COVID-19 Cardiovascular Disease Registry.”. Circulation. Cardiovascular Quality and Outcomes 15 (8): e008612. https://doi.org/10.1161/CIRCOUTCOMES.121.008612.
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    BACKGROUND: The COVID-19 pandemic has disproportionately affected low-income and racial/ethnic minority populations in the United States. However, it is unknown whether hospitalized patients with COVID-19 from socially vulnerable communities experience higher rates of death and/or major adverse cardiovascular events (MACEs). Thus, we evaluated the association between county-level social vulnerability and in-hospital mortality and MACE in a national cohort of hospitalized COVID-19 patients.

    METHODS: Our study population included patients with COVID-19 in the American Heart Association COVID-19 Cardiovascular Disease Registry across 107 US hospitals between January 14, 2020 to November 30, 2020. The Social Vulnerability Index (SVI), a composite measure of community vulnerability developed by Centers for Disease Control and Prevention, was used to classify the county-level social vulnerability of patients' place of residence. We fit a hierarchical logistic regression model with hospital-level random intercepts to evaluate the association of SVI with in-hospital mortality and MACE.

    RESULTS: Among 16 939 hospitalized COVID-19 patients in the registry, 5065 (29.9%) resided in the most vulnerable communities (highest national quartile of SVI). Compared with those in the lowest quartile of SVI, patients in the highest quartile were younger (age 60.2 versus 62.3 years) and more likely to be Black adults (36.7% versus 12.2%) and Medicaid-insured (31.1% versus 23.0%). After adjustment for demographics (age, sex, race/ethnicity) and insurance status, the highest quartile of SVI (compared with the lowest) was associated with higher likelihood of in-hospital mortality (OR, 1.25 [1.03-1.53]; P=0.03) and MACE (OR, 1.26 [95% CI, 1.05-1.50]; P=0.01). These findings were not attenuated after accounting for clinical comorbidities and acuity of illness on admission.

    CONCLUSIONS: Patients hospitalized with COVID-19 residing in more socially vulnerable communities experienced higher rates of in-hospital mortality and MACE, independent of race, ethnicity, and several clinical factors. Clinical and health system strategies are needed to improve health outcomes for socially vulnerable patients.

  • Ganatra, Sarju, Sourbha S Dani, Ashish Kumar, Safi U Khan, Rishi Wadhera, Tomas G Neilan, Paaladinesh Thavendiranathan, et al. (2022) 2022. “Impact of Social Vulnerability on Comorbid Cancer and Cardiovascular Disease Mortality in the United States.”. JACC. CardioOncology 4 (3): 326-37. https://doi.org/10.1016/j.jaccao.2022.06.005.
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    BACKGROUND: Racial and social disparities exist in outcomes related to cancer and cardiovascular disease (CVD).

    OBJECTIVES: The aim of this cross-sectional study was to study the impact of social vulnerability on mortality attributed to comorbid cancer and CVD.

    METHODS: The Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database (2015-2019) was used to obtain county-level mortality data attributed to cancer, CVD, and comorbid cancer and CVD. County-level social vulnerability index (SVI) data (2014-2018) were obtained from the CDC's Agency for Toxic Substances and Disease Registry. SVI percentiles were generated for each county and aggregated to form SVI quartiles. Age-adjusted mortality rates (AAMRs) were estimated and compared across SVI quartiles to assess the impact of social vulnerability on mortality related to cancer, CVD, and comorbid cancer and CVD.

    RESULTS: The AAMR for comorbid cancer and CVD was 47.75 (95% CI: 47.66-47.85) per 100,000 person-years, with higher mortality in counties with greater social vulnerability. AAMRs for cancer and CVD were also significantly greater in counties with the highest SVIs. However, the proportional increase in mortality between the highest and lowest SVI counties was greater for comorbid cancer and CVD than for either cancer or CVD alone. Adults <45 years of age, women, Asian and Pacific Islanders, and Hispanics had the highest relative increase in comorbid cancer and CVD mortality between the fourth and first SVI quartiles, without significant urban-rural differences.

    CONCLUSIONS: Comorbid cancer and CVD mortality increased in counties with higher social vulnerability. Improved education, resource allocation, and targeted public health interventions are needed to address inequities in cardio-oncology.

  • Oseran, Andrew S, Tianyu Sun, Rishi K Wadhera, Issa J Dahabreh, James A de Lemos, Sandeep R Das, Christine Rutan, Aarti H Asnani, Robert W Yeh, and Dhruv S Kazi. (2022) 2022. “Enriching the American Heart Association COVID-19 Cardiovascular Disease Registry Through Linkage With External Data Sources: Rationale and Design.”. Journal of the American Heart Association 11 (18): e7743. https://doi.org/10.1161/JAHA.122.027094.
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    Background The AHA Registry (American Heart Association COVID-19 Cardiovascular Disease Registry) captures detailed information on hospitalized patients with COVID-19. The registry, however, does not capture information on social determinants of health or long-term outcomes. Here we describe the linkage of the AHA Registry with external data sources, including fee-for-service (FFS) Medicare claims, to fill these gaps and assess the representativeness of linked registry patients to the broader Medicare FFS population hospitalized with COVID-19. Methods and Results We linked AHA Registry records of adults ≥65 years from March 2020 to September 2021 with Medicare FFS claims using a deterministic linkage algorithm and with the American Hospital Association Annual Survey, Rural Urban Commuting Area codes, and the Social Vulnerability Index using hospital and geographic identifiers. We compared linked individuals with unlinked FFS beneficiaries hospitalized with COVID-19 to assess the representativeness of the AHA Registry. A total of 10 010 (47.0%) records in the AHA Registry were successfully linked to FFS Medicare claims. Linked and unlinked FFS beneficiaries were similar with respect to mean age (78.1 versus 77.9, absolute standardized difference [ASD] 0.03); female sex (48.3% versus 50.2%, ASD 0.04); Black race (15.1% versus 12.0%, ASD 0.09); dual-eligibility status (26.1% versus 23.2%, ASD 0.07); and comorbidity burden. Linked patients were more likely to live in the northeastern United States (35.7% versus 18.2%, ASD 0.40) and urban/metropolitan areas (83.9% versus 76.8%, ASD 0.18). There were also differences in hospital-level characteristics between cohorts. However, in-hospital outcomes were similar (mortality, 23.3% versus 20.1%, ASD 0.08; home discharge, 45.5% versus 50.7%, ASD 0.10; skilled nursing facility discharge, 24.4% versus 22.2%, ASD 0.05). Conclusions Linkage of the AHA Registry with external data sources such as Medicare FFS claims creates a unique and generalizable resource to evaluate long-term health outcomes after COVID-19 hospitalization.

  • Riley, Elise D, Dhruv S Kazi, Phillip O Coffin, Eric Vittinghoff, Amanda N Wade, Tommaso C Bulfone, Kara L Lynch, Zahra Atai, and Alan H B Wu. (2022) 2022. “Impact of Multiple Substance Use on Circulating ST2, a Biomarker of Adverse Cardiac Remodelling, in Women.”. Biomarkers : Biochemical Indicators of Exposure, Response, and Susceptibility to Chemicals 27 (8): 802-8. https://doi.org/10.1080/1354750X.2022.2129451.
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    CONTEXT: Cardiovascular disease (CVD) and heart failure (HF) are major causes of mortality in low-income populations and differ by sex. Risk assessment that incorporates cardiac biomarkers is common. However, research evaluating the utility of biomarkers rarely includes controlled substances, which may influence biomarker levels and thus influence CVD risk assessment.

    MATERIALS AND METHODS: We identified the effects of multiple substances on soluble "suppression of tumorigenicity 2" (sST2), a biomarker of adverse cardiac remodelling, in 245 low-income women. Adjusting for CVD risk factors, we examined associations between substance use and sST2 over six monthly visits.

    RESULTS: Median age was 53 years and 74% of participants were ethnic minority women. An sST2 level > 35 ng/mL (suggesting cardiac remodelling) during ≥1 study visit was observed in 44% of participants. In adjusted analysis, higher sST2 levels were significantly and positively associated with the presence of cocaine (Adjusted Linear Effect [ALE]:1.10; 95% CI:1.03-1.19), alcohol (ALE:1.10; 95% CI:1.04-1.17), heroin (ALE:1.25; 95% CI:1.10-1.43), and the interaction between heroin and fentanyl use.

    CONCLUSION: Results suggest that the use of multiple substances influences the level of sST2, a biomarker often used to evaluate cardiovascular risk. Incorporating substance use alongside cardiac biomarkers may improve CVD risk assessment in vulnerable women.

  • Strom, Jordan B, Yuansong Zhao, Changyu Shen, Jason H Wasfy, Jiaman Xu, Evin Yucel, Varsha Tanguturi, et al. (2022) 2022. “Development and Validation of an Echocardiographic Algorithm to Predict Long-Term Mitral and Tricuspid Regurgitation Progression.”. European Heart Journal. Cardiovascular Imaging 23 (12): 1606-16. https://doi.org/10.1093/ehjci/jeab254.
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    AIMS: Prediction of mitral (MR) and tricuspid (TR) regurgitation progression on transthoracic echocardiography (TTE) is needed to personalize valvular surveillance intervals and prognostication.

    METHODS AND RESULTS: Structured TTE report data at Beth Israel Deaconess Medical Center, 26 January 2000-31 December 2017, were used to determine time to progression (≥1+ increase in severity). TTE predictors of progression were used to create a progression score, externally validated at Massachusetts General Hospital, 1 January 2002-31 December 2019. In the derivation sample (MR, N = 34 933; TR, N = 27 526), only 5379 (15.4%) individuals with MR and 3630 (13.2%) with TR had progression during a median interquartile range) 9.0 (4.1-13.4) years of follow-up. Despite wide inter-individual variability in progression rates, a score based solely on demographics and TTE variables identified individuals with a five- to six-fold higher rate of MR/TR progression over 10 years (high- vs. low-score tertile, rate of progression; MR 20.1% vs. 3.3%; TR 21.2% vs. 4.4%). Compared to those in the lowest score tertile, those in the highest tertile of progression had a four-fold increased risk of mortality. On external validation, the score demonstrated similar performance to other algorithms commonly in use.

    CONCLUSION: Four-fifths of individuals had no progression of MR or TR over two decades. Despite wide interindividual variability in progression rates, a score, based solely on TTE parameters, identified individuals with a five- to six-fold higher rate of MR/TR progression. Compared to the lowest tertile, individuals in the highest score tertile had a four-fold increased risk of mortality. Prediction of long-term MR/TR progression is not only feasible but prognostically important.

  • Chung, Mabel, Neel M Butala, Kamil F Faridi, Zaid I Almarzooq, Dingning Liu, Jiaman Xu, Yang Song, et al. (2023) 2023. “Days at Home After Transcatheter or Surgical Aortic Valve Replacement in High-Risk Patients.”. American Heart Journal 255: 125-36. https://doi.org/10.1016/j.ahj.2022.10.080.
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    BACKGROUND: Days at home (DAH) quantifies time spent at home after a medical event but has not been fully evaluated for TAVR. We sought to compare 1- and 5-year DAH (DAH365, DAH1825) among high-risk patients participating in a randomized trial of transcatheter aortic valve replacement (TAVR) with a self-expanding bioprosthesis versus surgical aortic valve replacement (SAVR).

    METHODS: We linked data from the U.S. CoreValve High Risk Trial to Medicare Fee-for-Service claims in 456 patients with 450 (234 TAVR/216 SAVR) and 427 (222 TAVR/205 SAVR) analyzed at 1 and 5 years. DAH was calculated as the number of days alive and spent outside of a hospital, skilled nursing facility, rehabilitation, long-term acute care hospital, emergency department, or observation stay.

    RESULTS: Mean DAH365 was higher in patients who underwent TAVR compared with SAVR (295.1 ± 106.9 vs 267.8 ± 122.3, difference in days 27.2 [95% CI 6.0, 48.5], P = .01). Compared with SAVR, TAVR patients had a shorter index length of stay (LOS) (7.4 ± 4.5 vs 12.5 ± 9.0, difference in days -5.1 [-6.5, -3.8], P < .001). The largest contributions to decreased DAH365 were mortality days and total facility days after discharge from the index hospitalization (mortality days-TAVR: 34.7 ± 93.1 vs SAVR: 48.0 ± 108.8, difference in days -13.3 [95% CI -32.1, 5.5], P = .17; total facility days-TAVR: 27.9 ± 47.4 vs SAVR: 36.7 ± 48.9, difference in days -8.8 [95% CI -17.8, 0.1], P = .05). Mean DAH1825 was numerically but not statistically significantly higher in TAVR (TAVR: 1154.2 ± 659.0 vs SAVR: 1067.6 ± 697.3, difference in days 86.6 [95% CI -42.3, 215.6], P = .19). Landmark analysis showed no difference in DAH from years 1 to 5 (TAVR: 1040.4 ± 477.5 vs SAVR: 1022.9 ± 489.3, P = .74).

    CONCLUSIONS: In the U.S. CoreValve High Risk Trial linked to Medicare, high-risk patients undergoing TAVR spend an average of 27 additional DAH compared with SAVR in the first year after the procedure due to a shorter index LOS and the additive effect of fewer but nonsignificantly different mortality and total facility days after discharge from the index hospitalization compared with SAVR. After the first year, both groups spend a similar number of DAH. These results describe the postprocedural course of high-risk patients from a patient-centered perspective, which may guide expectations regarding longitudinal health care needs and inform shared decision-making.

  • Varghese, Merilyn S, Alexis L Beatty, Yang Song, Jiaman Xu, Laurence S Sperling, Gregg C Fonarow, Steven J Keteyian, et al. (2022) 2022. “Cardiac Rehabilitation and the COVID-19 Pandemic: Persistent Declines in Cardiac Rehabilitation Participation and Access Among US Medicare Beneficiaries.”. Circulation. Cardiovascular Quality and Outcomes 15 (12): e009618. https://doi.org/10.1161/CIRCOUTCOMES.122.009618.
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    BACKGROUND: The impact of the COVID-19 pandemic on participation in and availability of cardiac rehabilitation (CR) is unknown.

    METHODS: Among eligible Medicare fee-for-service beneficiaries, we evaluated, by month, the number of CR sessions attended per 100 000 beneficiaries, individuals eligible to initiate CR, and centers offering in-person CR between January 2019 and December 2021. We compared these outcomes between 2 periods: December 1, 2019 through February 28, 2020 (period 1, before declaration of the pandemic-related national emergency) and October 1, 2021 through December 31, 2021 (period 2, the latest period for which data are currently available).

    RESULTS: In period 1, Medicare beneficiaries participated in (mean±SD) 895±84 CR sessions per 100 000 beneficiaries each month. After the national emergency was declared, CR participation sharply declined to 56 CR sessions per 100 000 beneficiaries in April 2020. CR participation recovered gradually through December 2021 but remained lower than prepandemic levels (period 2: 698±29 CR sessions per month per 100 000 beneficiaries, P=0.02). Declines in CR participation were most marked among dual Medicare and Medicaid enrollees and patients residing in rural areas or socially vulnerable communities. There was no statistically significant change in CR eligibility between the 2 periods. Compared with 2618±5 CR centers in period 1, there were 2464±7 in period 2 (P<0.01). Compared with CR centers that survived the pandemic, 220 CR centers that closed were more likely to be affiliated with public hospitals, located in rural areas, and serve the most socially vulnerable communities.

    CONCLUSIONS: The COVID-19 pandemic was associated with a persistent decline in CR participation and the closure of CR centers, which disproportionately affected rural and low-income patients and the most socially vulnerable communities. Innovation in CR financing and delivery is urgently needed to equitably enhance CR participation among Medicare beneficiaries.

  • Tsao, Connie W, Aaron W Aday, Zaid I Almarzooq, Cheryl A M Anderson, Pankaj Arora, Christy L Avery, Carissa M Baker-Smith, et al. (2023) 2023. “Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association.”. Circulation 147 (8): e93-e621. https://doi.org/10.1161/CIR.0000000000001123.
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    BACKGROUND: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

    METHODS: The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

    RESULTS: Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

    CONCLUSIONS: The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

  • Narasimmaraj, Prihatha R, Andrew Oseran, Archana Tale, Jiaman Xu, Utibe R Essien, Dhruv S Kazi, Robert W Yeh, and Rishi K Wadhera. (2023) 2023. “Out-of-Pocket Drug Costs for Medicare Beneficiaries With Cardiovascular Risk Factors Under the Inflation Reduction Act.”. Journal of the American College of Cardiology 81 (15): 1491-1501. https://doi.org/10.1016/j.jacc.2023.02.002.
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    BACKGROUND: High out-of-pocket prescription drug costs contribute to financial toxicity, medication nonadherence, and adverse cardiovascular (CV) outcomes. Policymakers recently passed the Inflation Reduction Act, which will cap Medicare out-of-pocket drug costs at $2,000/year and expand full low-income subsidies (LIS). It is unclear how these provisions will affect Medicare beneficiaries with CV risk factors and/or conditions.

    OBJECTIVES: The authors sought to characterize the population of Medicare beneficiaries with CV risk factors/conditions experiencing out-of-pocket prescription drug costs >$2,000/year and estimate their potential savings under the Inflation Reduction Act's spending cap; identify sociodemographic characteristics associated with out-of-pocket costs >$2,000/year; and characterize beneficiaries newly eligible for LIS under the Inflation Reduction Act.

    METHODS: This was a cross-sectional study of Medicare beneficiaries aged ≥65 years with ≥1 CV risk factor/condition from 2016 to 2019.

    RESULTS: An annual estimated 34,056,335 ± 855,653 Medicare beneficiaries (mean ± SE) had ≥1 CV risk factor/condition, of whom 1,020,484 ± 77,055 experienced out-of-pocket drug costs >$2,000/year. The likelihood of experiencing out-of-pocket drug costs >$2,000/year was lower among adults ≥75 years vs 65 to 74 years (adjusted OR: 0.67; 95% CI: 0.49-0.93) and for low-income vs higher-income adults. Among beneficiaries currently spending >$2,000/year, estimated median out-of-pocket drug savings would be $855/year and total annual savings $1,723,031,307 ± $91,150,609 under the Inflation Reduction Act. An estimated 1,289,861 beneficiaries would also become newly eligible for LIS.

    CONCLUSIONS: More than 1 million older adults with CV risk factors and/or conditions spend >$2,000/year out-of-pocket on prescription drugs and will likely benefit from the Inflation Reduction Act's cap, with estimated total out-of-pocket savings of $1.7 billion/year, while another 1.3 million will also become newly eligible for LIS.

  • Cohen, Laura P, Nicolas Isaza, Inmaculada Hernandez, Gregory D Lewis, Jennifer E Ho, Gregg C Fonarow, Dhruv S Kazi, and Brandon K Bellows. (2023) 2023. “Cost-Effectiveness of Sodium-Glucose Cotransporter-2 Inhibitors for the Treatment of Heart Failure With Preserved Ejection Fraction.”. JAMA Cardiology 8 (5): 419-28. https://doi.org/10.1001/jamacardio.2023.0077.
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    IMPORTANCE: Adding a sodium-glucose cotransporter-2 inhibitor (SGLT2-I) to standard-of-care treatment in patients with heart failure with preserved ejection fraction (HFpEF) reduces the risk of a composite outcome of worsening heart failure or cardiovascular mortality, but the cost-effectiveness in US patients with HFpEF is uncertain.

    OBJECTIVE: To evaluate the lifetime cost-effectiveness of standard therapy plus an SGLT2-I compared with standard therapy in individuals with HFpEF.

    DESIGN, SETTING, AND PARTICIPANTS: In this economic evaluation conducted from September 8, 2021, to December 12, 2022, a state-transition Markov model simulated monthly health outcomes and direct medical costs. Input parameters including hospitalization rates, mortality rates, costs, and utilities were extracted from HFpEF trials, published literature, and publicly available data sets. The base-case annual cost of SGLT2-I was $4506. A simulated cohort with similar characteristics as participants of the Empagliflozin in Heart Failure With a Preserved Ejection Fraction (EMPEROR-Preserved) and Dapagliflozin in Heart Failure With Mildly Reduced or Preserved Ejection Fraction (DELIVER) trials was used.

    EXPOSURES: Standard of care plus SGLT2-I vs standard of care.

    MAIN OUTCOMES AND MEASURES: The model simulated hospitalizations, urgent care visits, and cardiovascular and noncardiovascular death. Future medical costs and benefits were discounted by 3% per year. Main outcomes were quality-adjusted life-years (QALYs), direct medical costs (2022 US dollars), and incremental cost-effectiveness ratio (ICER) of SGLT2-I therapy from a US health care sector perspective. The ICER of SGLT2-I therapy was evaluated according to the American College of Cardiology/American Heart Association value framework (high value: <$50 000; intermediate value: $50 000 to <$150 000; and low value: ≥$150 000).

    RESULTS: The simulated cohort had a mean (SD) age of 71.7 (9.5) years and 6828 of 12 251 participants (55.7%) were male. Standard of care plus SGLT2-I increased quality-adjusted survival by 0.19 QALYs at an increased cost of $26 300 compared with standard of care. The resulting ICER was $141 200 per QALY gained, with 59.1% of 1000 probabilistic iterations indicating intermediate value and 40.9% indicating low value. The ICER was most sensitive to SGLT2-I costs and effect of SGLT2-I therapy on cardiovascular death (eg, increasing to $373 400 per QALY gained if SGLT2-I therapy was assumed to have no effect on mortality).

    CONCLUSIONS AND RELEVANCE: Results of this economic evaluation suggest that at 2022 drug prices, adding an SGLT2-I to standard of care was of intermediate or low economic value compared with standard of care in US adults with HFpEF. Efforts to expand access to SGLT2-I for individuals with HFpEF should be coupled with efforts to lower the cost of SGLT2-I therapy.

  • Suen, Leslie W, Eric Vittinghoff, Alan H B Wu, Akshay Ravi, Phillip O Coffin, Priscilla Hsue, Kara L Lynch, Dhruv S Kazi, and Elise D Riley. (2023) 2023. “Multiple Substance Use and Blood Pressure in Women Experiencing Homelessness.”. Addictive Behaviors Reports 17: 100483. https://doi.org/10.1016/j.abrep.2023.100483.
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    BACKGROUND: Substance use increases risk of cardiovascular events, particularly among women with additional risk factors like housing instability. While multiple substance use is common among unstably housed individuals, relationships between multiple substance use and cardiovascular risk factors like blood pressure are not well characterized.

    METHODS: We conducted a cohort study between 2016 and 2019 to examine associations between multiple substance use and blood pressure in women experiencing homelessness and unstable housing. Participants completed six monthly visits including vital sign assessment, interview, and blood draw to assess toxicology-confirmed substance use (e.g., cocaine, alcohol, opioids) and cardiovascular health. We used linear mixed models to evaluate the outcomes of systolic and diastolic blood pressure (SBP; DBP).

    RESULTS: Mean age was 51.6 years; 74 % were women of color. Prevalence of any substance use was 85 %; 63 % of participants used at least two substances at baseline. Adjusting for race, body mass index and cholesterol, cocaine was the only substance significantly associated with SBP (4.71 mmHg higher; 95 % CI 1.68, 7.74) and DBP (2.83 mmHg higher; 95 % CI 0.72, 4.94). Further analysis found no differences in SBP or DBP between those with concurrent use of other stimulants, depressants, or both with cocaine, compared to those who used cocaine only.

    CONCLUSIONS: Cocaine was the only substance associated with higher SBP and DBP, even after accounting for simultaneous use of other substances. Along with interventions to address cocaine use, stimulant use screening during cardiovascular risk assessment and intensive blood pressure management may improve cardiovascular outcomes among women experiencing housing instability.

  • Kazi, Dhruv S, Colette DeJong, Randi Chen, Rishi K Wadhera, and Chien-Wen Tseng. (2023) 2023. “The Inflation Reduction Act and Out-of-Pocket Drug Costs for Medicare Beneficiaries With Cardiovascular Disease.”. Journal of the American College of Cardiology 81 (21): 2103-11. https://doi.org/10.1016/j.jacc.2023.03.414.
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    BACKGROUND: High out-of-pocket costs can impede access to guideline-directed cardiovascular drugs. The 2022 Inflation Reduction Act (IRA) will eliminate catastrophic coinsurance and cap annual out-of-pocket costs for Medicare Part D patients by 2025.

    OBJECTIVES: This study sought to estimate the IRA's impact on out-of-pocket costs for Part D beneficiaries with cardiovascular disease.

    METHODS: The investigators chose 4 cardiovascular conditions that frequently require high-cost guideline-recommended drugs: severe hypercholesterolemia; heart failure with reduced ejection fraction (HFrEF); HFrEF with atrial fibrillation (AF); and cardiac transthyretin amyloidosis. This study included 4,137 Part D plans nationwide and compared projected annual out-of-pocket drug costs for each condition in 2022 (baseline), 2023 (rollout), 2024 (5% catastrophic coinsurance eliminated), and 2025 ($2,000 cap on out-of-pocket costs).

    RESULTS: In 2022, mean projected annual out-of-pocket costs were $1,629 for severe hypercholesterolemia, $2,758 for HFrEF, $3,259 for HFrEF with AF, and $14,978 for amyloidosis. In 2023, the initial IRA rollout will not significantly change out-of-pocket costs for the 4 conditions. In 2024, elimination of 5% catastrophic coinsurance will lower out-of-pocket costs for the 2 costliest conditions: HFrEF with AF ($2,855, 12% reduction) and amyloidosis ($3,468, 77% reduction). By 2025, the $2,000 cap will lower out-of-pocket costs for all 4 conditions to $1,491 for hypercholesterolemia (8% reduction), $1,954 for HFrEF (29% reduction), $2,000 for HFrEF with AF (39% reduction), and $2,000 for cardiac transthyretin amyloidosis (87% reduction).

    CONCLUSIONS: The IRA will reduce Medicare beneficiaries' out-of-pocket drug costs for the selected cardiovascular conditions by 8% to 87%. Future studies should assess the IRA's impact on adherence to guideline-directed cardiovascular therapies and health outcomes.

  • Oseran, Andrew S, Yang Song, Jiaman Xu, Issa J Dahabreh, Rishi K Wadhera, James A de Lemos, Sandeep R Das, Tianyu Sun, Robert W Yeh, and Dhruv S Kazi. (2023) 2023. “Long Term Risk of Death and Readmission After Hospital Admission With Covid-19 Among Older Adults: Retrospective Cohort Study.”. BMJ (Clinical Research Ed.) 382: e076222. https://doi.org/10.1136/bmj-2023-076222.
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    OBJECTIVES: To characterize the long term risk of death and hospital readmission after an index admission with covid-19 among Medicare fee-for-service beneficiaries, and to compare these outcomes with historical control patients admitted to hospital with influenza.

    DESIGN: Retrospective cohort study.

    SETTING: United States.

    PARTICIPANTS: 883 394 Medicare fee-for-service beneficiaries age ≥65 years discharged alive after an index hospital admission with covid-19 between 1 March 2020 and 31 August 2022, compared with 56 409 historical controls discharged alive after a hospital admission with influenza between 1 March 2018 and 31 August 2019. Weighting methods were used to account for differences in observed characteristics.

    MAIN OUTCOME MEASURES: All cause death within 180 days of discharge. Secondary outcomes included first all cause readmission and a composite of death or readmission within 180 days.

    RESULTS: The covid-19 cohort compared with the influenza cohort was younger (77.9 v 78.9 years, standardized mean difference -0.12) and had a lower proportion of women (51.7% v 57.3%, -0.11). Both groups had a similar proportion of black beneficiaries (10.3% v 8.1%, 0.07) and beneficiaries with dual Medicaid-Medicare eligibility status (20.1% v 19.2%; 0.02). The covid-19 cohort had a lower comorbidity burden, including atrial fibrillation (24.3% v 29.5%, -0.12), heart failure (43.4% v 49.9%, -0.13), and chronic obstructive pulmonary disease (39.2% v 52.9%, -0.27). After weighting, the covid-19 cohort had a higher risk (ie, cumulative incidence) of all cause death at 30 days (10.9% v 3.9%; standardized risk difference 7.0%, 95% confidence interval 6.8% to 7.2%), 90 days (15.5% v 7.1%; 8.4%, 8.2% to 8.7%), and 180 days (19.1% v 10.5%; 8.6%, 8.3% to 8.9%) compared with the influenza cohort. The covid-19 cohort also experienced a higher risk of hospital readmission at 30 days (16.0% v 11.2%; 4.9%, 4.6% to 5.1%) and 90 days (24.1% v 21.3%; 2.8%, 2.5% to 3.2%) but a similar risk at 180 days (30.6% v 30.6%;-0.1%, -0.5% to 0.3%). Over the study period, the 30 day risk of death for patients discharged after a covid-19 admission decreased from 17.9% to 7.2%.

    CONCLUSIONS: Medicare beneficiaries who were discharged alive after a covid-19 hospital admission had a higher post-discharge risk of death compared with historical influenza controls; this difference, however, was concentrated in the early post-discharge period. The risk of death for patients discharged after a covid-19 related hospital admission substantially declined over the course of the pandemic.

  • Virani, Salim S, Kristin Newby, Suzanne Arnold V, Vera Bittner, LaPrincess C Brewer, Susan Halli Demeter, Dave L Dixon, et al. (2023) 2023. “2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines.”. Circulation 148 (9): e9-e119. https://doi.org/10.1161/CIR.0000000000001168.
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    AIM: The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease."

    METHODS: A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

    STRUCTURE: This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.

  • Members, Writing Committee, Salim S Virani, Kristin Newby, Suzanne Arnold V, Vera Bittner, LaPrincess C Brewer, Susan Halli Demeter, et al. (2023) 2023. “2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines.”. Journal of the American College of Cardiology 82 (9): 833-955. https://doi.org/10.1016/j.jacc.2023.04.003.
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    AIM: The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease."

    METHODS: A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

    STRUCTURE: This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.

  • Ravi, Akshay, Eric Vittinghoff, Alan H B Wu, Leslie W Suen, Phillip O Coffin, Priscilla Hsue, Kara L Lynch, Sithu Win, Dhruv S Kazi, and Elise D Riley. (2023) 2023. “Cocaine Use Is Associated With Increased LVMI in Unstably Housed Women With Polysubstance Use.”. Substance Abuse 44 (4): 323-29. https://doi.org/10.1177/08897077231199572.
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    BACKGROUND: While substance use is known to influence cardiovascular health, most prior studies only consider one substance at a time. We examined associations between the concurrent use of multiple substances and left ventricular mass index (LVMI) in unhoused and unstably housed women.

    METHODS: Between 2016 and 2019, we conducted a cohort study of unstably housed women in which measurements included an interview, serum/urine collection, vital sign assessment, and a single transthoracic echocardiogram at baseline. We evaluated independent associations between 39 separate substances confirmed through toxicology and echocardiography-confirmed LVMI.

    RESULTS: The study included 194 participants with a median age of 53.5 years and a high proportion of women of color (72.6%). Toxicology-confirmed substance use included: 69.1% nicotine, 56.2% cocaine, 28.9% methamphetamines, 28.9% alcohol, 23.2% opioid analgesics, and 9.8% opioids with catecholaminergic effects. In adjusted analysis, cocaine was independently associated with higher LVMI (Adjusted linear effect: 18%; 95% CI 9.9, 26.6). Associations with other substances did not reach levels of significance and did not significantly interact with cocaine.

    CONCLUSION: In a population of vulnerable women where the use of multiple substances is common, cocaine stands out as having particularly detrimental influences on cardiac structure. Blood pressure did not attenuate the association appreciably, suggesting direct effects of cocaine on LVMI. Routinely evaluating stimulant use as a chronic risk factor during risk assessment and preventive clinical care planning may reduce end organ damage, particularly in highly vulnerable women.