Faculty Bibliography

ObjectivePatients with systemic lupus erythematosus (SLE) often have concomitant fibromyalgia (FM) or similar symptoms including chronic pain, fatigue, or depression. This study explored whether Patient-Reported Outcomes Measurement Information System (PROMIS) measures provide richer information than 2016 American College of Rheumatology (ACR) FM criteria survey.MethodsPatients with SLE in our convenience cohort were categorized into groups: (1) concurrent FM chronic pain, (2) concurrent non-FM chronic pain, and (3) no chronic pain using 2016 ACR FM Survey. Based on PROs in the FM Survey, we captured comparable PROMIS measures (e.g., depression, fatigue). Associations by pain group were tested using Kruskal-Wallis rank sum test, Shapiro-Wilk normality test, chi-squared test, or Fisher's exact test. Violin plots explored differences across groups.ResultsThe cohort (n = 181) included 31 patients with FM pain, 23 with non-FM chronic pain, and 127 with no chronic pain. Median PROMIS symptom scores (fatigue, sleep disturbance, pain intensity and interference, depression) were highest and cognitive function lowest in the FM group, despite 13% being in remission. There were significant differences on 4 PROMIS measures (cognitive function, fatigue, pain intensity, pain interference) between FM pain and non-FM pain groups (p < .02), the former being worse. There were no significant differences in SLE Disease Activity Index (SLEDAI) score.ConclusionSLE patients with non-FM chronic pain have similar symptoms to FM compared with SLE patients without chronic pain; however, symptoms are not as severe as those meeting FM criteria. PROMIS measures may be used to classify severity more precisely for disease categorization and management.

BACKGROUND:Research comparing the prognostic value of stress cardiac magnetic resonance (CMR) to other stress modalities in patients with coronary disease is limited. OBJECTIVES/OBJECTIVE:The authors compared the prognostic value of stress CMR vs alternative testing by either single-photon emission computed tomography or stress echocardiography (SPECT/echo) in the ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) trial. METHODS:CMR vs SPECT/echo was compared in 3,909 patients randomized in ISCHEMIA after sites' interpretation of moderate to severe ischemia. Ischemia and infarct extent, measured by either CMR or SPECT/echo, were each associated with the trial's primary outcome of cardiovascular death, nonfatal myocardial infarction (MI), or hospitalization for unstable angina, heart failure, or resuscitated cardiac arrest, at a median follow-up of 3.37 years (Q1-Q3: 2.20-4.56 years). RESULTS:Compared with SPECT/echo (n = 5,627), CMR participants (n = 313) were not different in key demographic factors but were more likely to have severe ischemia (57% vs 38%; P < 0.001) and to be randomized (n = 257, 82%, vs n = 3,652, 65%; P < 0.001). Ischemia severity (no/mild, moderate, severe) by CMR core laboratory was associated with cumulative 4-year event rates of all trial-specific endpoints, including the primary outcome (P = 0.042), cardiovascular death/MI (P = 0.041), and nonfatal MI (P = 0.03), but SPECT/echo ischemia severity was not. No/mild, moderate, and severe ischemia by CMR were associated with 0%, 14%, and 23% 4-year primary outcome rates, respectively, compared with 18%, 15%, and 16%, by SPECT/echo. After adjustment for age, estimated glomerular filtration rate, and diabetes, the association between ischemia extent and the primary endpoint differed by imaging modality, with each additional ischemic segment on CMR associated with a 13% increase in hazard (interaction P = 0.02). In participants assigned to initial conservative management who had no/mild ischemia on imaging, 4-year rates of invasive referral and coronary revascularization were lower in the CMR than SPECT/echo group (16.7% and 0%, respectively, for CMR; and 31% and 13.3%, respectively, for SPECT/echo). CONCLUSIONS:Ischemia severity by CMR had a stronger association with all ISCHEMIA trial endpoints compared with SPECT/echo.

Factorial study designs can be important for understanding the effectiveness of interventions when multiple interventions are under investigation. In this design setting, a unit of randomization can be assigned to any combination of interventions. The rationale for taking this kind of approach can vary depending on the specific questions targeted by the research. These questions, in turn, have implications for the way in which the analyses will be conducted. The goal in this paper is to describe how we developed a factorial design along with a Bayesian analytic plan for a large cluster-randomized trial-the Emergency Departments LEading the transformation of Alzheimer's and Dementia care (ED-LEAD) study-focused on improving care for persons living with dementia.

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.