Faculty Bibliography

BACKGROUND:Guideline-directed medical therapy (GDMT) with multiple risk factor goals is recommended for patients with chronic coronary disease (CCD), yet achieving all GDMT goals is uncommon. The relative importance of these goals and timing of their attainment on cardiovascular events is uncertain. OBJECTIVES/OBJECTIVE:This study aims to describe the relationship between achieving specific GDMT goals, when they are achieved, and clinical outcomes. METHODS:This was an observational study of participants with CCD in the ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) trial. The primary outcome was cardiovascular (CV) death or myocardial infarction (MI). GDMT goals were systolic blood pressure (SBP) <130 mm Hg, low-density lipoprotein cholesterol <70 mg/dL, not smoking, and antiplatelet therapy. Frequency of GDMT goals met at baseline and during follow-up is described. Bayesian joint modeling for longitudinal goal status and time-to-event analyses characterized the relative importance of specific GDMT goal attainment and timing with CV death/MI. RESULTS:All 5,179 ISCHEMIA participants were included. Among 4,914 participants with complete data on all 4 GDMT goals at baseline, 386 (9%), 2,073 (42%), 1,843 (38%), and 612 (12%) met 0-1, 2, 3, and 4 GDMT goals, respectively. The 4-year cumulative event rate for CV death/MI was highest for participants who attained no GDMT goals (24.5%; 95% credible interval [CrI]: 13.5%-42.2%) and lowest for those who attained all goals at baseline and remained at goal during follow-up (8.7%; 95% CrI: 6.7%-10.9%). SBP goal attainment was associated with a significant absolute event reduction in CV death/MI (-5.1%; 95% CrI: -11.3% to -1.0%), followed by antiplatelet therapy (-11.2%; 95% CrI: -29.1% to 0.8%), achieving low-density lipoprotein cholesterol <70 mg/dL (-2.0%; 95% CrI: -6.0% to 2.4%), and not smoking (-1.7%; 95% CrI: -9.3% to 4.2%). Ten millimeters of mercury lower SBP during follow-up was associated with 10% relative risk reduction of CV death/MI (RR [relative risk] = 0.90; 95% CrI: 0.82-0.98), after adjusting for other GDMT goals and baseline characteristics. CONCLUSIONS:Among participants with CCD, early attainment and maintenance of GDMT goals, especially SBP, were associated with fewer cardiovascular events. Compared with no GDMT goals at target, having all 4 GDMT goals at target at baseline was associated with an absolute 16% fewer CV deaths and MIs. (ISCHEMIA [International Study of Comparative Health Effectiveness With Medical and Invasive Approaches]; NCT01471522).

BACKGROUND:Randomized trials of chronic total occlusion (CTO) revascularization vs medical therapy have yielded inconsistent results. OBJECTIVES/OBJECTIVE:The aim of this study was to evaluate outcomes with an initial invasive strategy (INV) vs an initial conservative strategy (CON) in patients with coronary computed tomographic angiography (CCTA)-determined CTO in the ISCHEMIA (International Study of Comparative Health Effectiveness With Medical and Invasive Approaches) trial. METHODS:Participants in ISCHEMIA who underwent CCTA evaluated for CTO by the core laboratory (3,113 of 5,179 randomized patients [60%]) were categorized into subgroups with (100% stenosis) and without (<100% stenosis) CTO. Primary analysis compared outcomes in those randomized to INV vs CON using an intention-to-treat approach. Secondary analyses compared outcomes using inverse probability weighting to model successful CTO revascularization (REV) in all INV participants vs CON participants. RESULTS:Of the 3,113 CCTA-evaluable participants, 1,470 had at least 1 CTO (752 INV and 718 CON). INV did not reduce cardiovascular (CV) death or myocardial infarction (MI) (5-year difference -3.5%; 95% CI: -7.8% to 0.8%) and resulted in more procedural MIs (2.5%; 95% CI: 1.0%-4.0%) but fewer spontaneous MIs (-6.3%; 95% CI: -9.7% to -3.2%) than CON. CTO REV modeled across INV had a high probability (>90%) of any lower CV death or MI, MI, spontaneous MI, unstable angina, and heart failure counterbalanced by a higher rate of procedural MI. CTO REV significantly improved angina-related quality of life (mean difference 4.6 points), Rose Dyspnea Scale score (rescaled) (mean difference 5.3 points), and EQ-5D visual analog scale score (4.6 points). CONCLUSIONS:In the ISCHEMIA trial, the risks and benefits of INV compared with CON were similar among patients with and without CCTA-determined CTO (more frequent procedural MI, less frequent spontaneous MI, and significantly improved angina and dyspnea-related quality of life). In an observational comparison, successful CTO REV was associated with a high probability of lower CV death or MI (driven by lower MI) compared with CON. (International Study of Comparative Health Effectiveness With Medical and Invasive Approaches [ISCHEMIA]; NCT01471522).

BACKGROUND:Women with chronic coronary disease have more frequent angina and worse health status than men, despite having less coronary artery disease (CAD). We examined whether perceived stress and depressive symptoms mediate sex differences in angina, and whether this relationship differs in the setting of obstructive CAD or ischemia with no obstructive coronary artery disease (INOCA). METHODS:We analyzed the association between sex, stress (Perceived Stress Scale-4) and depressive symptoms (Patient Health Questionnaire-8) on angina-related health status (Seattle Angina Questionnaire [SAQ]) at enrollment in the ISCHEMIA (International Study of Comparative Health Effectiveness With Medical and Invasive Approaches) trial and CIAO-ISCHEMIA (Changes in Ischemia and Angina Over 1 Year Among ISCHEMIA Trial Screen Failures With No Obstructive CAD on Coronary CT [Computed Tomography] Angiography) ancillary study. RESULTS:=0.012). Higher stress and depressive symptoms were associated with worse angina in both cohorts. Female sex, Perceived Stress Scale-4 score, and Patient Health Questionnaire-8 score were each independently associated with lower SAQ summary score, but CAD versus INOCA cohort was not. There was no interaction between sex and stress (-0.39 [95% CI, -1.01 to 0.23]) or sex and depression (-0.00 [95% CI, -0.53 to 0.53]) on SAQ summary score. CONCLUSIONS:High stress and depressive symptoms were independently associated with worse angina and poorer health status, without interaction with sex with or without obstructive CAD. Factors other than stress or depression contribute to worse health status in women with obstructive CAD or INOCA. REGISTRATION/BACKGROUND:URL: https://www.clinicaltrials.gov; Unique identifiers: NCT02347215, NCT01471522.

OBJECTIVES/OBJECTIVE:We introduce a widely applicable model-based approach for estimating individual-level Social Determinants of Health (SDoH) and evaluate its effectiveness using the All of Us Research Program. MATERIALS AND METHODS/METHODS:Our approach utilizes aggregated SDoH datasets to estimate individual-level SDoH, demonstrated with examples of no high school diploma (NOHSDP) and no health insurance (UNINSUR) variables. Models are estimated using American Community Survey data and applied to derive individual-level estimates for All of Us participants. We assess concordance between model-based SDoH estimates and self-reported SDoHs in All of Us and examine associations with undiagnosed hypertension and diabetes. RESULTS:Compared to self-reported SDoHs, the area under the curve for NOHSDP is 0.727 (95% CI, 0.724-0.730) and for UNINSUR is 0.730 (95% CI, 0.727-0.733) among the 329 074 All of Us participants, both significantly higher than aggregated SDoHs. The association between model-based NOHSDP and undiagnosed hypertension is concordant with those estimated using self-reported NOHSDP, with a correlation coefficient of 0.649. Similarly, the association between model-based NOHSDP and undiagnosed diabetes is concordant with those estimated using self-reported NOHSDP, with a correlation coefficient of 0.900. DISCUSSION AND CONCLUSION/CONCLUSIONS:The model-based SDoH estimation method offers a scalable and easily standardized approach for estimating individual-level SDoHs. Using the All of Us dataset, we demonstrate reasonable concordance between model-based SDoH estimates and self-reported SDoHs, along with consistent associations with health outcomes. Our findings also underscore the critical role of geographic contexts in SDoH estimation and in evaluating the association between SDoHs and health outcomes.

OBJECTIVE:Racial/ethnic disparities in glycemic control among non-Hispanic Black (NHB) and non-Hispanic White (NHW) veterans with type 2 diabetes (T2D) have been reported. This study examined trends in early glycemic control by race/ethnicity to understand how disparities soon after T2D diagnosis have changed between 2008 and 2019 among cohorts of U.S. veterans with newly diagnosed T2D. RESEARCH DESIGN AND METHODS/METHODS:We estimated the annual percentage of early glycemic control (average A1C <7%) in the first 5 years after diagnosis among 837,023 veterans (95% male) with newly diagnosed T2D in primary care. We compared early glycemic control by racial/ethnic group among cohorts defined by diagnosis year (2008-2010, 2011-2013, 2014-2016, and 2017-2018) using mixed-effects models with random intercepts. We estimated odds ratios of early glycemic control comparing racial/ethnic groups with NHW, adjusting for age, sex, and years since diagnosis. RESULTS:The average annual percentage of veterans who achieved early glycemic control during follow-up was 73%, 72%, 72%, and 76% across the four cohorts, respectively. All racial/ethnic groups were less likely to achieve early glycemic control compared with NHW veterans in the 2008-2010 cohort. In later cohorts, NHB and Hispanic veterans were more likely to achieve early glycemic control; however, Hispanic veterans were also more likely to have an A1C ≥9% within 5 years in all cohorts. Early glycemic control disparities for non-Hispanic Asian, Native Hawaiian/Pacific Islander, and American Indian/Alaska Native veterans persisted in cohorts until the 2017-2018 cohort. CONCLUSIONS:Overall early glycemic control trends among veterans with newly diagnosed T2D have been stable since 2008, but trends differed by racial/ethnic groups and disparities in very poor glycemic control were still observed. Efforts should continue to minimize disparities among racial/ethnic groups.

BACKGROUND:Whether revascularisation (REV) improves outcomes in patients with three-vessel coronary artery disease (3V-CAD) is uncertain. AIMS/OBJECTIVE:Our objective was to evaluate outcomes with REV (percutaneous coronary intervention [PCI] or coronary artery bypass graft surgery [CABG]) versus medical therapy in patients with 3V-CAD. METHODS:ISCHEMIA participants with 3V-CAD on coronary computed tomography angiography without prior CABG were included. Outcomes following initial invasive management (INV) with REV (PCI or CABG) versus initial conservative management (CON) with medical therapy alone were evaluated. Regression modelling was used to estimate the outcomes if all participants were to undergo prompt REV versus those assigned to CON. Outcomes were cardiovascular (CV) death/myocardial infarction (MI), death, CV death, and quality of life. Bayesian posterior probability for benefit (Pr [benefit]) for 1 percentage point lower 4-year rates with REV versus CON were evaluated. RESULTS:Among 1,236 participants with 3V-CAD (612 INV/624 CON), REV was associated with lower 4-year CV death/MI (adjusted 4-year difference: -4.4, 95% credible interval [CrI] -8.7 to -0.3 percentage points, Pr [benefit]=94.8%) when compared with CON, with similar results for PCI versus CON (-5.8, 95% CrI: -10.8 to -0.5 percentage points, Pr [benefit]=96.4%) and CABG versus CON (-3.7, 95% CrI: -8.8 to 1.5 percentage points, Pr [benefit]=84.7%). Adjusted 4-year REV versus CON differences were as follows: death -1.2 (95% CrI: -4.7 to 2.2) percentage points, CV death -2.3 (95% CrI: -5.5 to 0.8) percentage points, with similar results for PCI and for CABG. The Pr (benefit) for death with REV (PCI or CABG) versus CON was 49-63%. The adjusted 12-month Seattle Angina Questionnaire-7 summary score differences favoured REV: REV versus CON 4.6 (95% CrI: 2.7-6.4) percentage points; PCI versus CON 3.6 (95% CrI: 1.2-5.8) percentage points and CABG versus CON 4.3 (95% CrI: 1.5-6.9) percentage points with high Pr (benefit). CONCLUSIONS:In participants with 3V-CAD, REV (either PCI or CABG) was associated with a lower 4-year CV death/MI rate and improved quality of life, with similar results for PCI versus CON and CABG versus CON. The differences in all-cause mortality between REV and CON were small with wide confidence intervals. (ClinicalTrials.gov: NCT01471522).

BACKGROUND/UNASSIGNED:Electronic health records (EHRs) are increasingly used for epidemiologic research to advance public health practice. However, key variables are susceptible to missing data or misclassification within EHRs, including demographic information or disease status, which could affect the estimation of disease prevalence or risk factor associations. OBJECTIVE/UNASSIGNED:In this paper, we applied methods from the literature on missing data and causal inference to assess whether we could mitigate information biases when estimating measures of association between potential risk factors and diabetes among a patient population of New York City young adults. METHODS/UNASSIGNED:We estimated the odds ratio (OR) for diabetes by race or ethnicity and asthma status using EHR data from NYU Langone Health. Methods from the missing data and causal inference literature were then applied to assess the ability to control for misclassification of health outcomes in the EHR data. We compared EHR-based associations with associations observed from 2 national health surveys, the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health and Nutrition Examination Survey, representing traditional public health surveillance systems. RESULTS/UNASSIGNED:Observed EHR-based associations between race or ethnicity and diabetes were comparable to health survey-based estimates, but the association between asthma and diabetes was significantly overestimated (OREHR 3.01, 95% CI 2.86-3.18 vs ORBRFSS 1.23, 95% CI 1.09-1.40). Missing data and causal inference methods reduced information biases in these estimates, yielding relative differences from traditional estimates below 50% (ORMissingData 1.79, 95% CI 1.67-1.92 and ORCausal 1.42, 95% CI 1.34-1.51). CONCLUSIONS/UNASSIGNED:Findings suggest that without bias adjustment, EHR analyses may yield biased measures of association, driven in part by subgroup differences in health care use. However, applying missing data or causal inference frameworks can help control for and, importantly, characterize residual information biases in these estimates.

OBJECTIVE:To retrospectively compare inter- and intra-reader agreement of abbreviated MRCP (aMRCP) with comprehensive MRI (cMRCP) protocol for detection of worrisome features, high-risk stigmata, and concomitant pancreatic cancer in pancreatic cyst surveillance. METHODS:151 patients (104 women, mean age: 69[10] years) with baseline and follow-up contrast-enhanced MRIs were included. This comprised 138 patients under cyst surveillance with 5-year follow-up showing no pancreatic ductal adenocarcinoma (PDAC), 6 with pancreatic cystic lesion-derived malignancy, and 7 with concomitant PDAC. The aMRCP protocol used four sequences (axial and coronal Half-Fourier Single-shot Turbo-spin-Echo, axial T1 fat-saturated pre-contrast, and 3D-MRCP), while cMRCP included all standard sequences, including post-contrast. Three blinded abdominal radiologists assessed baseline cyst characteristics, worrisome features, high-risk stigmata, and PDAC signs using both aMRCP and cMRCP, with a 2-week washout period. Intra- and inter-reader agreement were calculated using Fleiss' multi-rater kappa and Intra-class Correlation Coefficient (ICC). 95% confidence intervals (CI) were calculated. RESULTS:Cyst size, growth, and abrupt main pancreatic duct transition had strong intra- and inter-reader agreement. Intra-reader agreement was ICC = 0.93-0.99 for cyst size, ICC = 0.71-1.00 for cyst growth, and kappa = 0.83-1.00 for abrupt duct transition. Inter-reader agreement for cyst size was ICC = 0.86 (aMRCP) and ICC = 0.83 (cMRCP), and for abrupt duct transition was kappa = 0.84 (aMRCP) and kappa = 0.69 (cMRCP). Thickened cyst wall, mural nodule and cyst-duct communication demonstrated varying intra-reader agreements and poor inter-reader agreements. CONCLUSION/CONCLUSIONS:aMRCP showed high intra- and inter-reader agreement for most pancreatic cyst parameters that highly rely on T2-weighted sequences.

BACKGROUND AND AIMS/OBJECTIVE:The aim of this study was to determine the prognostic value of coronary computed tomography angiography (CCTA)-derived atherosclerotic plaque analysis in ISCHEMIA. METHODS:Atherosclerosis imaging quantitative computed tomography (AI-QCT) was performed on all available baseline CCTAs to quantify plaque volume, composition, and distribution. Multivariable Cox regression was used to examine the association between baseline risk factors (age, sex, smoking, diabetes, hypertension, ejection fraction, prior coronary disease, estimated glomerular filtration rate, and statin use), number of diseased vessels, atherosclerotic plaque characteristics determined by AI-QCT, and a composite primary outcome of cardiovascular death or myocardial infarction over a median follow-up of 3.3 (interquartile range 2.2-4.4) years. The predictive value of plaque quantification over risk factors was compared in an area under the curve (AUC) analysis. RESULTS:Analysable CCTA data were available from 3711 participants (mean age 64 years, 21% female, 79% multivessel coronary artery disease). Amongst the AI-QCT variables, total plaque volume was most strongly associated with the primary outcome (adjusted hazard ratio 1.56, 95% confidence interval 1.25-1.97 per interquartile range increase [559 mm3]; P = .001). The addition of AI-QCT plaque quantification and characterization to baseline risk factors improved the model's predictive value for the primary outcome at 6 months (AUC 0.688 vs. 0.637; P = .006), at 2 years (AUC 0.660 vs. 0.617; P = .003), and at 4 years of follow-up (AUC 0.654 vs. 0.608; P = .002). The findings were similar for the other reported outcomes. CONCLUSIONS:In ISCHEMIA, total plaque volume was associated with cardiovascular death or myocardial infarction. In this highly diseased, high-risk population, enhanced assessment of atherosclerotic burden using AI-QCT-derived measures of plaque volume and composition modestly improved event prediction.

Cardiometabolic comorbidities, diabetes (DM), hypertension (HTN), and obesity, contribute to cardiovascular disease (CVD). Circulating biomarkers facilitate prognostication for patients with CVD. We explored the relationship between cardiometabolic comorbidity burden in patients with chronic coronary disease (CCD) and biomarkers of myocardial stretch, injury, inflammation, and platelet activity. We analyzed participants from the ISCHEMIA Trials biorepository with plasma biomarkers (NT-proBNP, hs-cTnT, hs-CRP, IL-6, sCD40L, and GDF-15) and clinical risk factors [hemoglobin A1c (HbA1c), systolic blood pressure (SBP), and body mass index (BMI)] at baseline. We defined cardiometabolic comorbidities as DM, HTN, and obesity at baseline. Comorbidity burden characterized by number and severity of comorbidities. Controlled comorbidities were defined as HbA1c <7% for those with DM, SBP <130 mmHg for those with HTN and BMI <30 kg/m². Severely uncontrolled was defined as HbA1c ≥8%, SBP ≥160 mmHg, and BMI ≥35 kg/m². We performed linear regression analyses to examine the association between comorbidity burden and log-transformed biomarker levels adjusting for age, sex, eGFR controlled for hemodialysis, and left ventricular ejection fraction. A total of 752 individuals (mean age 66, 19% female, 84% white) were included in this analysis. Self-reported Black race, current smokers, history of MI and HF had greater cardiometabolic comorbidity burden. The presence of ≥ 1 severely uncontrolled comorbidity was associated with significantly higher baseline levels of hs-cTnT, hs-CRP, IL-6, and GDF-15 compared to participants with no comorbidities. In conclusion, increasing cardiometabolic comorbidity burden in patients with CCD is associated with higher levels of circulating biomarkers of myocardial injury and inflammation.