Publications

BACKGROUND: Aortic valve calcium (AVC) is associated with increased risk of mortality, cardiovascular disease (CVD), non-CVD such as dementia. Traditional atherosclerotic CVD risk factors are associated with both AVC and chronic kidney disease (CKD), but whether there is an association between AVC and CKD is unknown.

OBJECTIVES: To ascertain whether AVC quantified by cardiac CT scanning is independently associated with the long-term risk of incident CKD among individuals without a previous history of CVD.

METHODS: We examined 6346 Multi-Ethnic Study of Atherosclerosis (MESA) participants who underwent cardiac CT scanning at Visit 1 (2000-02) and had an eGFR of ≥ 60 mL/min/1.73 m2. AVC was quantified using the Agatston method and categorized as 0, 1-99, and ≥100. Incident CKD was defined as an eGFR < 60 mL/min/1.73 m2 accompanied with an at least 40 % decline in eGFR from baseline, and/or a diagnosis of CKD and indicators of end stage renal disease extracted from hospital records using the International Classification of Disease (ICD) codes. We performed Kaplan-Meier survival curve analyses along with multivariable adjusted Cox proportional hazard regression models to examine the association between AVC (categorical and log-transformed) and incident CKD.

RESULTS: Participants had a mean age 62.2 ± 10.1 years, 53 % were women, and AVC >0 was present in 795 (12 %) participants. During a median follow-up time of 16.9 years, 982 (15 %) participants developed incident CKD. AVC examined as a continuous variable was associated with a significantly increased risk of developing CKD (per log-unit [AVC+1] HR 1.06 [95 % CI: 1.02-1.10]; p = 0.005). Kaplan-Meier models showed a higher cumulative incidence for CKD with higher AVC levels. In the multivariable adjusted Cox models, participants with AVC ≥100 had a higher risk of incident CKD, compared with the AVC=0 group (HR 1.48 [95 % CI: 1.15-1.89]; p = 0.002). The observed associations remained after further adjusting for CAC score (p = 0.024), Lp(a) (p = 0.004), and the APOE-ε4 genotype (p = 0.004).

CONCLUSIONS: In a multi-ethnic cohort of participants free of CKD at baseline, AVC was independently associated with a higher risk of incident CKD. Further work is needed to understand the multidirectional relationship between AVC, CKD, and atherosclerosis.

PURPOSE OF REVIEW: To provide a contemporary update on the American Society of Echocardiography's ImageGuideEcho Registry and present a case study of an individual institution's experience with enrollment.

RECENT FINDINGS: Technical innovation in clinical echocardiography has expanded the impact of echocardiography in cardiovascular care and provides new opportunities to leverage clinical data to inform quality improvement initiatives and research. The ImageGuideEcho Registry is the first echocardiography-specific imaging registry in the United States and provides a data infrastructure for quality improvement and multicenter research. The ImageGuideEcho Registry continues to grow, offering a window into echocardiography care across the United States in a variety of practice settings. This early experience highlights its value, opportunities, and ongoing challenges. Continued innovation, such as the addition of primary images, will further add to the substantial value of the registry.

BACKGROUND: Abbreviation use in clinical and academic cardiology is widespread, yet there are few guidelines regulating the creation and utilization of abbreviations. Inconsistent abbreviations can introduce ambiguity and pose challenges to practice and research.

OBJECTIVES: The authors aimed to analyze how abbreviations are created and utilized in general cardiology and cardiac imaging society guidelines in order to assess whether ambiguities and discrepancies exist between societies.

METHODS: Abbreviation data were collected from 7 national and international societies of general cardiology and cardiac imaging over a 6-year span (2018-2023). Data were linguistically coded for abbreviation type, unique occurrence, meaning or sense count, and frequency of discrepancy between societies.

RESULTS: Among a total of 5,394 abbreviation tokens, there were 1,782 unique entries. Among the unique entries, 227 (12.7%) had 2 or more associated meanings (senses), and thus were potentially ambiguous. Cardiac societies differed from each other, and also internally, in their use of abbreviations, with the European Society of Cardiology representing the highest frequency of discrepant abbreviation usage (14.5%).

CONCLUSIONS: More than 12.7% of abbreviations in cardiology society guidelines had 2 or more corresponding meanings, potentially increasing the risks of miscommunication and misrepresentation. We call on cardiology and cardiac imaging societies to define and publish best practices regarding abbreviation creation and utilization.

BACKGROUND: Identifying individuals with severe aortic stenosis (AS) at high risk of mortality remains challenging using current clinical imaging methods.

OBJECTIVES: The purpose of this study was to evaluate an artificial intelligence decision support algorithm (AI-DSA) to augment the detection of severe AS within a well-resourced health care setting.

METHODS: Agnostic to clinical information, an AI-DSA trained to identify echocardiographic phenotype associated with an aortic valve area (AVA)<1 cm2 using minimal input data (excluding left ventricular outflow tract measures) was applied to routine transthoracic echocardiograms (TTE) reports from 31,141 U.S. Medicare beneficiaries at an academic medical center (2003-2017).

RESULTS: Performance of AI-DSA to detect the phenotype associated with an AVA<1 cm2 was excellent (sensitivity 82.2%, specificity 98.1%, negative predictive value 9.2%, c-statistic = 0.986). In addition to identifying clinical severe AS cases, AI-DSA identified an additional 1,034 (3.3%) individuals with guideline-defined moderate AS but with a similar clinical and TTE phenotype to those with severe AS with low rates of aortic valve replacement (6.6%). Five-year mortality was 75.9% in those with known severe AS, 73.5% in those with a similar phenotype to severe AS, and 44.6% in those without severe AS. The AI-DSA continued to perform well to identify severe AS among those with a depressed left ventricular ejection fraction. Overall rates of aortic valve replacement remained low, even in those with an AVA<1 cm2 (21.9%).

CONCLUSIONS: Without relying on left ventricular outflow tract measurements, an AI-DSA used echocardiographic reports to reliably identify the phenotype of severe AS. These results suggest possible utility for this AI-DSA to enhance detection of severe AS individuals at risk for adverse outcomes.

BACKGROUND: The optimal hemoglobin threshold to guide red blood cell (RBC) transfusion for patients with acute myocardial infarction (MI) and anemia is uncertain.

OBJECTIVE: To estimate the efficacy of 4 individual hemoglobin thresholds (<10 g/dL [<100 g/L], <9 g/dL [<90 g/L], <8 g/dL [<80 g/L], and <7 g/dL [<70 g/L]) to guide transfusion in patients with acute MI and anemia.

DESIGN: Prespecified secondary analysis of the MINT (Myocardial Ischemia and Transfusion) trial using target trial emulation methods. (ClinicalTrials.gov: NCT02981407).

SETTING: 144 clinical sites in 6 countries.

PARTICIPANTS: 3492 MINT trial participants with acute MI and a hemoglobin level below 10 g/dL.

INTERVENTION: Four transfusion strategies to maintain patients' hemoglobin concentrations at or above thresholds of 10, 9, 8, or 7 g/dL. Protocol exceptions were permitted for specified adverse clinical events.

MEASUREMENTS: Data from the MINT trial were leveraged to emulate 4 transfusion strategies and estimate per protocol effects on the composite outcome of 30-day death or recurrent MI (death/MI) and 30-day death using inverse probability weighting.

RESULTS: The 30-day risk for death/MI was 14.8% (95% CI, 11.8% to 18.4%) for a <10-g/dL strategy, 15.1% (CI, 11.7% to 18.2%) for a <9-g/dL strategy, 15.9% (CI, 12.4% to 19.0%) for a <8-g/dL strategy, and 18.3% (CI, 14.6% to 22.0%) for a <7-g/dL strategy. Absolute risk differences and risk ratios relative to the <10-g/dL strategy for 30-day death/MI increased as thresholds decreased, although 95% CIs were wide. Findings were similar and imprecise for 30-day death.

LIMITATION: Unmeasured confounding may have persisted despite adjustment.

CONCLUSION: The 30-day risks for death/MI and death among patients with acute MI and anemia seem to increase progressively with lower hemoglobin concentration thresholds for transfusion. However, the imprecision around estimates from this target trial analysis precludes definitive conclusions about individual hemoglobin thresholds.

PRIMARY FUNDING SOURCE: National Heart, Lung, and Blood Institute.

BACKGROUND: Frailty is associated with adverse cardiovascular outcomes independent of age and comorbidities, yet the independent influence of frailty progression remains uncertain.

METHODS: Medicare Fee-for-service beneficiaries ≥ 65 years at cohort inception with continuous enrollment from 2003-2015 were included. Frailty trajectory was measured by annualized change in a validated claims-based frailty index (CFI) over a 5-year period. Linear mixed effects models, adjusting for baseline frailty, were used to estimate CFI change over a 5-year period. Survival analysis was used to evaluate associations of frailty progression and future health outcomes (major adverse cardiovascular and cerebrovascular events [MACCE], all-cause death, heart failure, myocardial infarction, ischemic stroke, and days alive at home [DAH] within the following calendar year).

RESULTS: 26.4 million unique beneficiaries were included (mean age 75.4 ± 7.0 years, 57% female, 13% non-White). In total, 20% had frailty progression, 66% had no change in frailty, and 14% frailty regression over median follow-up of 2.4 years. Compared to those without a change in CFI, when adjusting for baseline frailty, those with frailty progression had significantly greater risk of incident MACCE (hazard ratio [HR] 2.30, 95% confidence interval [CI] 2.30-2.31), all-cause mortality (HR 1.59, 95% CI 1.58-1.59), acute myocardial infarction (HR 1.78, 95% CI 1.77-1.79), heart failure (HR 2.78, 95% CI 2.77-2.79), and stroke (HR 1.78, 95% CI 1.77-1.79). There was also a graded increase in risk of each outcome with more rapid progression and significantly fewer DAH with the most rapid vs. the slowest progression group (270.4 ± 112.3 vs. 308.6 ± 93.0 days, rate ratio 0.88, 95% CI 0.87-0.88, p < 0.001).

CONCLUSIONS: In this large, nationwide sample of Medicare beneficiaries, frailty progression, independent of baseline frailty, was associated with fewer DAH and a graded risk of MACCE, all-cause mortality, myocardial infarction, heart failure, and stroke compared to those without progression.