Faculty Bibliography

PURPOSE/OBJECTIVE:Hypertension (HTN) is common and represents a major modifiable risk factor for ischemic heart disease in older adults. While home blood pressure monitoring (HBPM) is important in HTN management, patterns of HBPM engagement in older adults undergoing mobile health cardiac rehabilitation (mHealth-CR) are unknown. We aimed to identify patterns of adherence to HBPM in a cohort of older adults undergoing mHealth-CR to optimize HBPM use in the future. METHODS:We used interim data from the ongoing Rehabilitation using Mobile Health for Older Adults with Ischemic Heart Disease in the Home Setting (RESILIENT) randomized trial, in which intervention arm participants (adults ≥ 65 years with ischemic heart disease) were instructed to monitor blood pressure (BP) at least weekly. Engagement groups were determined by latent class analysis and compared using ANOVA or Chi-Square tests. Longitudinal mixed effect modeling determined the associations between weekly HBPM and baseline covariates including uncontrolled HTN, obesity, diabetes, depression, alcohol, and tobacco use. RESULTS:Of the 111 participants, the mean age was 71.9 ± 5.6 years, and 83% had HTN. Over the 12-week study, mean HBPM engagement was 2.3 ± 2.3 d/wk. We observed 3 distinct patterns of engagement: high engagement (22%), gradual decline (10%), and sustained baseline engagement (68%). HBPM adherence decreased in two of the engagement groups over time. Of the covariates tested, only depression was associated with weekly HBPM after adjusting for relevant covariates (OR 9.09, P  = .03). CONCLUSIONS:In this older adult cohort undergoing mHealth-CR, we found three main engagement groups with declining engagement over time in two of the three groups. These patterns can inform future mHealth-CR interventions.

IMPORTANCE/UNASSIGNED:Among older adults with ischemic heart disease, participation in traditional ambulatory cardiac rehabilitation (CR) remains low. While mobile health CR (mHealth-CR) provides a novel opportunity to deliver care, age-specific impairments to technology use may limit uptake, and efficacy data are currently lacking. OBJECTIVE/UNASSIGNED:To test whether mHealth-CR improves functional capacity in older adults. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:The RESILIENT phase 2, multicenter, randomized clinical trial recruited patients aged 65 years or older with ischemic heart disease (defined as a hospital visit for myocardial infarction or coronary revascularization) from 5 academic hospitals in New York, Connecticut, and Massachusetts between January 9, 2020, and April 22, 2024. INTERVENTION/UNASSIGNED:Participants were randomized 3:1 to mHealth-CR or usual care. mHealth-CR consisted of commercially available software delivered on a tablet computer, coupled with remote monitoring and weekly exercise therapist telephone calls, delivered over a 3-month duration. As RESILIENT was a trial conducted in a routine care setting to inform decision-making, participants in both arms were also allowed to receive traditional CR at their cardiologist's discretion. MAIN OUTCOMES AND MEASURES/UNASSIGNED:The primary outcome was change from baseline to 3 months in functional capacity, measured by 6-minute walk distance (6MWD). Secondary outcomes were health status (12-Item Short Form Health Survey [SF-12]), residual angina, and impairment in activities of daily living. RESULTS/UNASSIGNED:A total of 400 participants (median age, 71.0 years [range, 65.0-91.0 years]; 291 [72.8%] male) were randomized to mHealth-CR (n = 298) or usual care (n = 102) and included in the intention-to-treat analysis. Of those, 356 participants (89.0%) returned in person for 6MWD assessment at 3 months. For the primary outcome, there was no adjusted difference in 6MWD between participants receiving mHealth-CR vs usual care (15.6 m; 95% CI, -0.3 to 31.5 m; P = .06). Among subgroups, there was an improvement in 6MWD among women (36.6 m; 95% CI, 8.7-64.4 m). There were no differences in any secondary outcomes between groups (eg, adjusted difference in SF-12 physical component scores at 3 months: -1.9 points; 95% CI, -3.9 to 0.2 points). Based on inverse propensity score weighting, there was no effect of mHealth-CR on 6MWD among those who did not attend traditional CR (25.7 m; 95% CI, -8.7 to 60.2 m). CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this randomized clinical trial of mHealth-CR vs usual care, mHealth-CR did not significantly increase 6MWD or result in improvements in secondary outcomes. The findings suggest the older adult population may require more age-tailored mHealth strategies to effectively improve outcomes. TRIAL REGISTRATION/UNASSIGNED:ClinicalTrials.gov Identifier: NCT03978130.

BACKGROUND/UNASSIGNED:Digital health technologies have been proposed as a potential solution to improving maternal cardiovascular (CV) health in the postpartum (PP) period. In this context we performed a systematic scoping review of digital health interventions designed to improve PP CV health. METHODS/UNASSIGNED:We conducted a systematic review of PubMed/MEDLINE, EMBASE, CINAHL, Web of Science and the Cochrane Library. We included studies of PP women, with an intervention involving digital or mobile health (wearable devices, telemedicine, or remote monitoring). We included studies that measured an outcome related to CV health. RESULTS/UNASSIGNED:= 27 studies) showed no significant benefit in terms of lowered caloric intake and/or weight loss up to 1 year PP. 6 studies examined improvements in cardiometabolic markers such as lipids and glucose levels, of which the majority showed no benefit. CONCLUSION/UNASSIGNED:The majority of studies we reviewed found that digital health interventions such as mobile health, telemonitoring and wearable devices were feasible and had mixed effectiveness in improving postpartum CV health in the postpartum period.

PURPOSE/OBJECTIVE:Cardiac rehabilitation (CR) is beneficial in heart transplant and left ventricular assist device (LVAD) recipients, but patterns of attendance remain poorly understood. We describe CR adherence and cessation in this population. METHODS:We performed a retrospective review of heart transplant and LVAD recipients who attended ≥1 CR session at a tertiary medical center (2013-2022). Complete adherence was defined as attending 36 sessions. Primary reasons for cessation before 36 sessions were recorded. We compared post-operative complications, duration of hospitalization, and readmissions between participants with and without complete adherence using logistic and linear regressions. Among participants with complete adherence, we compared changes in metabolic equivalent of task (MET), exercise time, and peak oxygen uptake using paired sample t tests. RESULTS:There were 137 heart transplant and LVAD recipients (median age 56.9 years, 74% male) who attended CR. Among them, 91% either completed 36 CR sessions or <24 sessions. Among those without complete adherence (n = 74), 72% reported medical reasons, and 15% reported personal reasons for cessation. Compared to those who completed CR, those without complete adherence experienced more post-operative complications (44% vs 24%, P = .02) and major bleeding (23% vs 7%, P = .02) prior to CR. Participants with complete adherence experienced significant improvements in exercise time (142.5 seconds), MET (0.4), and peak oxygen uptake (1.4 mL/kg/min). CONCLUSIONS:Nearly half of heart transplant and LVAD recipients in CR completed all 36 sessions. Those with complete adherence experienced significant improvements in exercise measures, underscoring the important benefits of CR in this population.

BACKGROUND:Sarcopenia has been associated with adverse postoperative outcomes in older age cohorts, but has not been assessed in older adults with inflammatory bowel disease (IBD). Further, current assessments of sarcopenia among all aged individuals with IBD have used various measures of muscle mass as well as cutoffs to define its presence, leading to heterogeneous findings. METHODS:In this single-institution, multihospital retrospective study, we identified all patients aged 60 years and older with IBD who underwent disease-related intestinal resection between 2012 and 2022. Skeletal Muscle Index (SMI) and Total Psoas Index (TPI) were measured at the superior L3 endplate on preoperative computed tomography scans and compared through receiver operating characteristic curve. We then performed multivariable logistic regression to assess risk factors associated with an adverse 30-day postoperative outcome. Our primary outcome included a 30-day composite of postoperative mortality and complications, including infection, bleeding, cardiac event, cerebrovascular accident, acute kidney injury, venous thromboembolism, reoperation, all-cause rehospitalization, and need for intensive care unit-level care. RESULTS:A total of 120 individuals were included. Overall, 52% were female, 40% had ulcerative colitis, 60% had Crohn's disease, and median age at time of surgery was 70 years (interquartile range: 65-75). Forty percent of older adults had an adverse 30-day postoperative outcome, including infection (23%), readmission (17%), acute kidney injury (13%), bleeding (13%), intensive care unit admission (10%), cardiac event (8%), venous thromboembolism (7%), reoperation (6%), mortality (5%), and cerebrovascular accident (2%). When evaluating the predictive performance of SMI vs TPI for an adverse 30-day postoperative event, SMI had a significantly higher area under the curve of 0.66 (95% CI, 0.56-0.76) as compared to 0.58 (95% CI, 0.48-0.69) for TPI (P = .02). On multivariable logistic regression, prior IBD-related surgery (adjusted odds ratio [adjOR] 6.46, 95% CI, 1.85-22.51) and preoperative sepsis (adjOR 5.74, 95% CI, 1.36-24.17) significantly increased the odds of adverse postoperative outcomes, whereas increasing SMI was associated with a decreased risk of an adverse postoperative outcome (adjOR 0.88, 95% CI, 0.82-0.94). CONCLUSIONS:Sarcopenia, as measured by SMI, is associated with an increased risk of postoperative complications among older adults with IBD. Measurement of SMI from preoperative imaging can help risk stratify older adults with IBD undergoing intestinal resection.

BACKGROUND:As the inflammatory bowel disease (IBD) patient population is aging, the prevalence of polypharmacy is rising. However, data exploring the prevalence, risk factors, and clinical outcomes associated with polypharmacy among older adults with IBD are limited. AIMS/OBJECTIVE:To determine (i) prevalence of polypharmacy (≥5 medications) and potentially inappropriate medication (PIM) utilization in older adults with IBD, (ii) changes in medications over time (iii) predictors of polypharmacy, and (iv) the impact of polypharmacy/PIMs on one-year hospitalization rates. METHODS:We conducted a retrospective single-center study of older adults with IBD from September 1st 2011 to December 31st 2022. Wilcoxon-signed rank and McNemar's tests were used to assess changes in polypharmacy between visits, with ordinal logistic regression and Cox proportional hazards models used to determine risk factors for polypharmacy and time to hospitalization, respectively. RESULTS:Among 512 older adults with IBD, 74.0% experienced polypharmacy at initial visit, with 42.6% receiving at least one PIM. Additionally, severe polypharmacy (≥10 medications) was present among 28.6% individuals at index visit and increased to 38.6% by last visit (p<0.01). Multivariable analysis revealed that age ≥70 years, BMI ≥30.0 kg/m2, prior IBD-related surgery, and the presence of comorbidities were associated with polypharmacy. Moreover, severe polypharmacy (adjHR 1.95, 95%CI 1.29-2.92), as well as PIM use (adjHR 2.16, 95%CI 1.37-3.43) among those with polypharmacy, were significantly associated with all-cause hospitalization within a year of index visit. DISCUSSION/CONCLUSIONS:Severe polypharmacy was initially present in more than 25% of older adults with IBD and increased to 34% within 4 years of index visit. Severe polypharmacy, as well as PIM utilization among those with polypharmacy, were also associated with an increased risk of hospitalization at one-year, highlighting the need for deprescribing efforts in this population.

Ensuring reliability of Large Language Models (LLMs) in clinical tasks is crucial. Our study assesses two state-of-the-art LLMs (ChatGPT and LlaMA-2) for extracting clinical information, focusing on cognitive tests like MMSE and CDR. Our data consisted of 135,307 clinical notes (Jan 12th, 2010 to May 24th, 2023) mentioning MMSE, CDR, or MoCA. After applying inclusion criteria 34,465 notes remained, of which 765 underwent ChatGPT (GPT-4) and LlaMA-2, and 22 experts reviewed the responses. ChatGPT successfully extracted MMSE and CDR instances with dates from 742 notes. We used 20 notes for fine-tuning and training the reviewers. The remaining 722 were assigned to reviewers, with 309 each assigned to two reviewers simultaneously. Inter-rater-agreement (Fleiss' Kappa), precision, recall, true/false negative rates, and accuracy were calculated. Our study follows TRIPOD reporting guidelines for model validation. For MMSE information extraction, ChatGPT (vs. LlaMA-2) achieved accuracy of 83% (vs. 66.4%), sensitivity of 89.7% (vs. 69.9%), true-negative rates of 96% (vs 60.0%), and precision of 82.7% (vs 62.2%). For CDR the results were lower overall, with accuracy of 87.1% (vs. 74.5%), sensitivity of 84.3% (vs. 39.7%), true-negative rates of 99.8% (98.4%), and precision of 48.3% (vs. 16.1%). We qualitatively evaluated the MMSE errors of ChatGPT and LlaMA-2 on double-reviewed notes. LlaMA-2 errors included 27 cases of total hallucination, 19 cases of reporting other scores instead of MMSE, 25 missed scores, and 23 cases of reporting only the wrong date. In comparison, ChatGPT's errors included only 3 cases of total hallucination, 17 cases of wrong test reported instead of MMSE, and 19 cases of reporting a wrong date. In this diagnostic/prognostic study of ChatGPT and LlaMA-2 for extracting cognitive exam dates and scores from clinical notes, ChatGPT exhibited high accuracy, with better performance compared to LlaMA-2. The use of LLMs could benefit dementia research and clinical care, by identifying eligible patients for treatments initialization or clinical trial enrollments. Rigorous evaluation of LLMs is crucial to understanding their capabilities and limitations.

BACKGROUND:Because of advances in medical treatment of heart failure, patients are living longer than in previous eras and may approach the need for advanced therapies, including heart transplantation, at older ages. This study assesses practices surrounding heart transplant in older adults (> 70 years) and examines short- and medium-term outcomes. METHODS AND RESULTS/RESULTS:This study is a retrospective analysis using the United Network for Organ Sharing (UNOS) database from 2010 to 2021. The absolute number of older adults being transplanted is increasing. Older adults were more likely to have had a prior malignancy or ischemic cardiomyopathy and less likely to be on extra-corporeal membrane oxygenation or have a high UNOS status prior to transplant. Mortality at 1-year was higher for older adults (27.8% vs. 23.4%), but at 5 years there was no significant difference (22.3% vs. 19.4%.). Older adults were more likely to die of malignancy or infection. Adults under 70 were more likely to die of cardiovascular causes or graft failure. There was less rejection in older adults. Mortality has not changed for older adults transplanted before versus after the 2018 UNOS allocation change. CONCLUSIONS:Carefully selected older adults may be considered for heart transplantation, given similar intermediate-term mortality.

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

IMPORTANCE/UNASSIGNED:Large language models (LLMs) are crucial for medical tasks. Ensuring their reliability is vital to avoid false results. Our study assesses two state-of-the-art LLMs (ChatGPT and LlaMA-2) for extracting clinical information, focusing on cognitive tests like MMSE and CDR. OBJECTIVE/UNASSIGNED:Evaluate ChatGPT and LlaMA-2 performance in extracting MMSE and CDR scores, including their associated dates. METHODS/UNASSIGNED:Our data consisted of 135,307 clinical notes (Jan 12th, 2010 to May 24th, 2023) mentioning MMSE, CDR, or MoCA. After applying inclusion criteria 34,465 notes remained, of which 765 underwent ChatGPT (GPT-4) and LlaMA-2, and 22 experts reviewed the responses. ChatGPT successfully extracted MMSE and CDR instances with dates from 742 notes. We used 20 notes for fine-tuning and training the reviewers. The remaining 722 were assigned to reviewers, with 309 each assigned to two reviewers simultaneously. Inter-rater-agreement (Fleiss' Kappa), precision, recall, true/false negative rates, and accuracy were calculated. Our study follows TRIPOD reporting guidelines for model validation. RESULTS/UNASSIGNED:For MMSE information extraction, ChatGPT (vs. LlaMA-2) achieved accuracy of 83% (vs. 66.4%), sensitivity of 89.7% (vs. 69.9%), true-negative rates of 96% (vs 60.0%), and precision of 82.7% (vs 62.2%). For CDR the results were lower overall, with accuracy of 87.1% (vs. 74.5%), sensitivity of 84.3% (vs. 39.7%), true-negative rates of 99.8% (98.4%), and precision of 48.3% (vs. 16.1%). We qualitatively evaluated the MMSE errors of ChatGPT and LlaMA-2 on double-reviewed notes. LlaMA-2 errors included 27 cases of total hallucination, 19 cases of reporting other scores instead of MMSE, 25 missed scores, and 23 cases of reporting only the wrong date. In comparison, ChatGPT's errors included only 3 cases of total hallucination, 17 cases of wrong test reported instead of MMSE, and 19 cases of reporting a wrong date. CONCLUSIONS/UNASSIGNED:In this diagnostic/prognostic study of ChatGPT and LlaMA-2 for extracting cognitive exam dates and scores from clinical notes, ChatGPT exhibited high accuracy, with better performance compared to LlaMA-2. The use of LLMs could benefit dementia research and clinical care, by identifying eligible patients for treatments initialization or clinical trial enrollments. Rigorous evaluation of LLMs is crucial to understanding their capabilities and limitations.