Faculty Bibliography

BACKGROUND:Women with myocardial infarction (MI) are more likely to have elevated stress levels and depression than men with MI. OBJECTIVES:We investigated psychosocial factors in women with myocardial infarction with nonobstructive coronary arteries (MINOCA) and those with MI and obstructive coronary artery disease (CAD). METHODS:Women with MI enrolled in a multicenter study and completed measures of perceived stress (Perceived Stress Scale-4) and depressive symptoms (Patient Health Questionnaire-2) at the time of MI (baseline) and 2 months later. Stress, depression, and changes over time were compared between MI subtypes. RESULTS:We included 172 MINOCA and 314 MI-CAD patients. Women with MINOCA were younger (age 59.4 years vs 64.2 years; P < 0.001) and more diverse than those with MI-CAD. Women with MINOCA were less likely to have high stress (Perceived Stress Scale-4 ≥6) at the time of MI (51.0% vs 63.0%; P = 0.021) and at 2 months post-MI (32.5% vs 46.3%; P = 0.019) than women with MI-CAD. There was no difference in elevated depressive symptoms (Patient Health Questionnaire-2 ≥2) at the time of MI (36% vs 43%; P = 0.229) or at 2 months post-MI (39% vs 40%; P = 0.999). No differences in the rate of 2-month decline in stress and depression scores were observed between groups. CONCLUSIONS:Stress and depression are common among women at the time of and 2 months after MI. MINOCA patients were less likely to report high stress compared with MI-CAD patients, but the frequency of elevated depressive symptoms did not differ between the 2 groups. Stress and depressive symptoms decreased in both MI-CAD and MINOCA patients over time.

Periprocedural inflammation is associated with major adverse cardiovascular events in patients who undergo percutaneous coronary intervention (PCI). In the contemporary era, 5% to 10% of patients develop restenosis, and in the acute coronary syndrome cohort, there remains a 20% major adverse cardiovascular events rate at 3 years, half of which are culprit-lesion related. In patients at risk of restenosis, colchicine has been shown to reduce restenosis when started within 24 hours of PCI and continued for 6 months thereafter, compared with placebo. The Colchicine-PCI trial, which randomized patients to a 1-time loading dose of colchicine or placebo 1 to 2 hours before PCI, showed a dampening of the inflammatory response to PCI but no difference in postprocedural myocardial injury. On mean follow-up of 3.3 years, the incidence of major adverse cardiovascular events did not differ between colchicine and placebo groups (32.5% vs 34.9%; hazard ratio 0.95 [0.68 to 1.34]).

BACKGROUND:Prediabetes affects 26.4 million people aged 65 years or older (48.8%) in the United States. Although older adults respond well to the evidence-based Diabetes Prevention Program, they are a heterogeneous group with differing physiological, biomedical, and psychosocial needs who can benefit from additional support to accommodate age-related changes in sensory and motor function. OBJECTIVE:The purpose of this paper is to describe adaptations of the Centers for Disease Control and Prevention's Diabetes Prevention Program aimed at preventing diabetes among older adults (ages ≥65 years) and findings from a pilot of 2 virtual sessions of the adapted program that evaluated the acceptability of the content. METHODS:The research team adapted the program by incorporating additional resources necessary for older adults. A certified lifestyle coach delivered 2 sessions of the adapted content via videoconference to 189 older adults. RESULTS:The first session had a 34.9% (38/109) response rate to the survey, and the second had a 34% (30/88) response rate. Over three-quarters (50/59, 85%) of respondents agreed that they liked the virtual program, with 82% (45/55) agreeing that they would recommend it to a family member or a friend. CONCLUSIONS:This data will be used to inform intervention delivery in a randomized controlled trial comparing in-person versus virtual delivery of the adapted program.

Survival analysis is a general framework for predicting the time until a specific event occurs, often in the presence of censoring. Although this framework is widely used in practice, few studies to date have considered fairness for time-to-event outcomes, despite recent significant advances in the algorithmic fairness literature more broadly. In this paper, we propose a framework to achieve demographic parity in survival analysis models by minimizing the mutual information between predicted time-to-event and sensitive attributes. We show that our approach effectively minimizes mutual information to encourage statistical independence of time-to-event predictions and sensitive attributes. Furthermore, we propose four types of disparity assessment metrics based on common survival analysis metrics. Through experiments on multiple benchmark datasets, we demonstrate that by minimizing the dependence between the prediction and the sensitive attributes, our method can systematically improve the fairness of survival predictions and is robust to censoring.

BACKGROUND:Although studies to date have broadly shown that cardiovascular disease (CVD) increases cognitive and physical impairment risk, there is still limited understanding of the magnitude of this risk among relevant CVD subtypes or age cohorts. METHODS:We analyzed longitudinal data from 16 679 U.S. Health and Retirement Study participants who were aged ≥65 years at study entry. Primary endpoints were physical impairment (activities of daily living impairment) or cognitive impairment (Langa-Weir Classification of dementia). We compared these endpoints among participants who developed incident CVD versus those who were CVD free, both in the short term (<2-year postdiagnosis) and long term (>5 years), controlling for sociodemographic and health characteristics. We then analyzed the effects by CVD subtype (atrial fibrillation, congestive heart failure, ischemic heart disease, and stroke) and age-at-diagnosis (65-74, 75-84, and ≥85). RESULTS:Over a median follow-up of 10 years, 8 750 participants (52%) developed incident CVD. Incident CVD was associated with significantly higher adjusted odds (aOR) of short-term and long-term physical and cognitive impairment. The oldest (≥85) age-at-diagnosis subgroup had the highest risk of short-term physical (aOR 3.01, 95% confidence interval [CI]: 2.40-3.77) and cognitive impairment (aOR 1.96, 95% CI: 1.55-2.48), as well as long-term impairment. All CVD subtypes were associated with higher odds of physical and cognitive impairment, with the highest risk for patients with incident stroke. CONCLUSIONS:Incident CVD was associated with an increased risk of physical and cognitive impairment across CVD subtypes. Impairment risk after CVD was highest among the oldest patients (≥85 years) who should therefore remain a target for prevention efforts.

In data collection for predictive modeling, under-representation of certain groups, based on gender, race/ethnicity, or age, may yield less-accurate predictions for these groups. Recently, this issue of fairness in predictions has attracted significant attention, as data-driven models are increasingly utilized to perform crucial decision-making tasks. Existing methods to achieve fairness in the machine learning literature typically build a single prediction model in a manner that encourages fair prediction performance for all groups. These approaches have two major limitations: i) fairness is often achieved by compromising accuracy for some groups; ii) the underlying relationship between dependent and independent variables may not be the same across groups. We propose a Joint Fairness Model (JFM) approach for logistic regression models for binary outcomes that estimates group-specific classifiers using a joint modeling objective function that incorporates fairness criteria for prediction. We introduce an Accelerated Smoothing Proximal Gradient Algorithm to solve the convex objective function, and present the key asymptotic properties of the JFM estimates. Through simulations, we demonstrate the efficacy of the JFM in achieving good prediction performance and across-group parity, in comparison with the single fairness model, group-separate model, and group-ignorant model, especially when the minority group's sample size is small. Finally, we demonstrate the utility of the JFM method in a real-world example to obtain fair risk predictions for under-represented older patients diagnosed with coronavirus disease 2019 (COVID-19). This article is protected by copyright. All rights reserved.

BACKGROUND:Evading immune surveillance is a hallmark for the development of multiple cancer types. Whether immune evasion contributes to the pathogenesis of high-grade prostate cancer (HGPCa) remains an area of active inquiry. METHODS:Through single-cell RNA sequencing and multicolor flow cytometry of freshly isolated prostatectomy specimens and matched peripheral blood, we aimed to characterize the tumor immune microenvironment (TME) of localized prostate cancer (PCa), including HGPCa and low-grade prostate cancer (LGPCa). RESULTS: TILs. The PCa TME was infiltrated by macrophages but these did not clearly cluster by M1 and M2 markers. CONCLUSIONS:T cell exhaustion in localized PCa, a finding enriched in HGPCa relative to LGPCa. These studies suggest a possible link between the clinical-pathologic risk of PCa and the associated TME. Our results have implications for our understanding of the immunologic mechanisms of PCa pathogenesis and the implementation of immunotherapy for localized PCa.

Background Psychological well-being is important among individuals with myocardial infarction (MI) given the clear links between stress, depression, and adverse cardiovascular outcomes. Stress and depressive disorders are more prevalent in women than men after MI. Resilience may protect against stress and depressive disorders after a traumatic event. Longitudinal data are lacking in populations post MI. We examined the role of resilience in the psychological recovery of women post MI, over time. Methods and Results We analyzed a sample from a longitudinal observational multicenter study (United States, Canada) of women post MI, between 2016 and 2020. Perceived stress (Perceived Stress Scale-4 [PSS-4]) and depressive symptoms (Patient Health Questionnaire-2 [PHQ-2]) were assessed at baseline (time of MI) and 2 months post MI. Demographics, clinical characteristics, and resilience (Brief Resilience Scale [BRS]) were collected at baseline. Low and normal/high resilience groups were established as per published cutoffs (BRS scores <3 or ≥3). Mixed-effects modeling was used to examine associations between resilience and psychological recovery over 2 months. The sample included 449 women, mean (SD) age, 62.2 (13.2) years, of whom 61.1% identified as non-Hispanic White, 18.5% as non-Hispanic Black, and 15.4% as Hispanic/Latina. Twenty-three percent had low resilience. The low resilience group had significantly higher PSS-4 and PHQ-2 scores than the normal/high resilience group at all time points. In adjusted models, both groups showed a decrease in PSS-4 scores over time. Conclusions In a diverse cohort of women post MI, higher resilience is associated with better psychological recovery over time. Future work should focus on developing strategies to strengthen resilience and improve psychological well-being for women with MI. Registration URL: https://clinicaltrials.gov/ct2/show/NCT02905357; Unique identifier: NCT02905357.

In the Diabetes Prevention Program (DPP) randomized, controlled clinical trial, participants who were  ≥ 60 years of age in the intensive lifestyle (diet and physical activity) intervention had a 71% reduction in incident diabetes over the 3-year trial. However, few of the 26.4 million American adults age ≥65 years with prediabetes are participating in the National DPP. The BRInging the Diabetes prevention program to GEriatric Populations (BRIDGE) randomized trial compares an in-person DPP program Tailored for Older AdulTs (DPP-TOAT) to a DPP-TOAT delivered via group virtual sessions (V-DPP-TOAT) in a randomized, controlled trial design (N = 230). Eligible patients are recruited through electronic health records (EHRs) and randomized to the DPP-TOAT or V-DPP-TOAT arm. The primary effectiveness outcome is 6-month weight loss and the primary implementation outcome is intervention session attendance with a non-inferiority design. Findings will inform best practices in the delivery of an evidence-based intervention.