Faculty Bibliography

IMPORTANCE/UNASSIGNED:Hypertension is often underrecognized, leading to preventable morbidity and mortality. Tailored data systems combined with care augmented by trained nonphysicians have the potential to improve cardiovascular care. OBJECTIVE/UNASSIGNED:To determine whether previously collected cardiovascular imaging data could be harnessed to improve the detection and treatment of hypertension through a system-level intervention. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:The NOTIFY-LVH trial was a 2-arm, pragmatic randomized clinical trial conducted from March 2023 through June 2024 within the Mass General Brigham health care system, a multi-institutional network serving the greater Boston, Massachusetts, area. The study included individuals with a Mass General Brigham primary care affiliation who had left ventricular hypertrophy (LVH) on a prior echocardiogram, had no established cardiomyopathy diagnosis, and were not being treated with antihypertensive medications. Patients were followed for 12 months postintervention. INTERVENTION/UNASSIGNED:Population health coordinators contacted clinicians of patients randomized to the intervention, notifying them of LVH and offering assistance with follow-up care. A clinical support pathway-including 24-hour ambulatory blood pressure monitoring or cardiology referrals-was provided to aid LVH evaluation. MAIN OUTCOMES AND MEASURES/UNASSIGNED:The primary outcome was the initiation of an antihypertensive medication. Secondary outcomes included new hypertension and cardiomyopathy diagnoses. RESULTS/UNASSIGNED:A total of 648 patients were randomized-326 to the intervention and 322 to the control. Mean (SD) patient age was 59.4 (10.8) years and 248 patients (38.3%) were female. A total of 102 patients (15.7%) had a baseline diagnosis of hypertension and 109 patients (20.1%) had a mean outpatient blood pressure of 130/80 mm Hg or higher. Over 12 months, 53 patients (16.3%) in the intervention arm were prescribed an antihypertensive medication vs 16 patients (5.0%) in the control arm (adjusted odds ratio [OR], 3.76; 95% CI, 2.09-6.75; P < .001). Individuals in the intervention group were also more likely to be diagnosed with hypertension (adjusted OR, 4.43; 95% CI, 2.36-8.33; P < .001). Cardiomyopathy diagnoses did not significantly differ between groups. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In the NOTIFY-LVH randomized clinical trial, a centralized population health coordinator-led notification and clinical support pathway for individuals with LVH on prior echocardiograms increased the initial treatment of hypertension. This work highlights the potential benefit of leveraging preexisting but potentially underutilized cardiovascular data to improve health care delivery through mechanisms augmenting the traditional ambulatory care system. TRIAL REGISTRATION/UNASSIGNED:ClinicalTrials.gov Identifier: NCT05713916.

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.

OBJECTIVE:To compare anonymized and non-anonymized approaches for imputing race and ethnicity in descriptive studies of chronic disease burden using electronic health record (EHR)-based datasets. STUDY SETTING AND DESIGN/METHODS:In this New York City-based study, we first conducted simulation analyses under different missing data mechanisms to assess the performance of Bayesian Improved Surname Geocoding (BISG), single imputation using neighborhood majority information, random forest imputation, and multiple imputation with chained equations (MICE). Imputation performance was measured using sensitivity, precision, and overall accuracy; agreement with self-reported race and ethnicity was measured with Cohen's kappa (κ). We then applied these methods to impute race and ethnicity in two EHR-based data sources and compared chronic disease burden (95% CIs) by race and ethnicity across imputation approaches. DATA SOURCES AND ANALYTIC SAMPLE/UNASSIGNED:Our data sources included EHR data from NYU Langone Health and the INSIGHT Clinical Research Network from 3/6/2016 to 3/7/2020 extracted for a parent study on older adults in NYC with multiple chronic conditions. PRINCIPAL FINDINGS/RESULTS: = 0.33). When these methods were applied to the NYU and INSIGHT cohorts, however, racial and ethnic distributions and chronic disease burden were consistent across all imputation methods. Slight improvements in the precision of estimates were observed under all imputation approaches compared to a complete case analysis. CONCLUSIONS:BISG imputation may provide a more accurate racial and ethnic classification than single or multiple imputation using anonymized covariates, particularly if the missing data mechanism is MNAR. Descriptive studies of disease burden may not be sensitive to methods for imputing missing data.

BACKGROUND:Disruption of ambulatory healthcare in New York City (NYC) during the COVID-19 pandemic was common, but the impact on the cardiometabolic health of vulnerable patient groups is unknown. Therefore, we estimated the effect of total care disruption (TCD) on blood pressure (BP) control among older NYC residents with hypertension and at least one other chronic condition, and examined whether neighborhood poverty moderated this impact. METHODS:From the INSIGHT Clinical Research Network, we identified NYC residents ≥50 years of age with hypertension and at least one other chronic condition. TCD was defined as no ambulatory or telehealth visit during the pandemic. We contrasted the change in prevalence of controlled BP (BP <140/90) before and after the pandemic among those with and without TCD via an inverse probability weighted (IPW) difference-in-difference regression model. RESULTS:Among 212,673 eligible individuals, mean age was 69.5 years (SD: 10.2 years) and 15.1% experienced TCD. BP control declined from 52.4% to 45.9% among those with TCD and from 53.6% to 48.9% among those without TCD. After IPW adjustment, a larger decline in BP control was noted among those with TCD (adjusted difference-in-difference = 1.13 percentage points (95% CI 0.32-1.94, p-value=0.0058)). There was no consistent difference in the relationship between TCD and post-pandemic BP control across neighborhood poverty levels. CONCLUSION/CONCLUSIONS:COVID-19-related TCD was associated with a modest decline in BP control among older adults with hypertension in NYC; this was not moderated by neighborhood poverty level.

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.

BACKGROUND:Results from national surveys indicate that many older adults reported delayed medical care during the acute phase of the COVID-19 pandemic, yet few studies have used objective data to characterize healthcare utilization among vulnerable older adults in that period. In this study, we characterized healthcare utilization during the acute pandemic phase (March 7-October 6, 2020) and examined risk factors for total disruption of care among older adults with multiple chronic conditions (MCC) in New York City. METHODS:This retrospective cohort study used electronic health record data from NYC patients aged ≥ 50 years with a diagnosis of either hypertension or diabetes and at least one other chronic condition seen within six months prior to pandemic onset and after the acute pandemic period at one of several major academic medical centers contributing to the NYC INSIGHT clinical research network (n=276,383). We characterized patients by baseline (pre-pandemic) health status using cutoffs of systolic blood pressure (SBP) < 140mmHg and hemoglobin A1C (HbA1c) < 8.0% as: controlled (below both cutoffs), moderately uncontrolled (below one), or poorly controlled (above both, SBP > 160, HbA1C > 9.0%). Patients were then assessed for total disruption versus some care during shutdown using recommended care schedules per baseline health status. We identified independent predictors for total disruption using logistic regression, including age, sex, race/ethnicity, baseline health status, neighborhood poverty, COVID infection, number of chronic conditions, and quartile of prior healthcare visits. RESULTS:Among patients, 52.9% were categorized as controlled at baseline, 31.4% moderately uncontrolled, and 15.7% poorly controlled. Patients with poor baseline control were more likely to be older, female, non-white and from higher poverty neighborhoods than controlled patients (P < 0.001). Having fewer pre-pandemic healthcare visits was associated with total disruption during the acute pandemic period (adjusted odds ratio [aOR], 8.61, 95% Confidence Interval [CI], 8.30-8.93, comparing lowest to highest quartile). Other predictors of total disruption included self-reported Asian race, and older age. CONCLUSIONS:This study identified patient groups at elevated risk for care disruption. Targeted outreach strategies during crises using prior healthcare utilization patterns and disease management measures from disease registries may improve care continuity.

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.

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.