Chamberlain, Alanna M.

Introduction: Multimorbidity is associated with physical disability, increased health care utilization, reduced quality of life, and mortality. Whereas most literature has focused on the co-occurrence of somatic conditions, we aim to (i) establish the prevalence of combined somatic and mental health multimorbidity (SMM) in cardiac rehabilitation (CR) patients, and (ii) determine the most prevalent co-occurrence of cardio-metabolic conditions (CMC) with other somatic or mental health conditions in CR patients. Methods: Using the Rochester Epidemiology Project records-linkage system, we identified residents of Southern MN and Western WI who attended (≥1) CR sessions from 1995 to 2019. The prevalence of 18 chronic conditions defined by the US Department of Health and Human Services was electronically extracted. Heat maps were created to assess the pairwise prevalence of cardio-metabolic (CMC; n=6) with mental (n=5) and other somatic (n=7) chronic conditions (Table 1) . Results: We included 13,056 patients; 68.5% were male. Patients were 65.5±12.5 years old with 44.7% ≤65 years old. Median number of conditions was 7 (Range 0-18) with 52.6% of patients having ≥7 conditions. Hyperlipidemia (89.3%), hypertension (79.5%), and arrhythmias (72.4%) were the most prevalent CMC. The prevalence of combined SMM (≥2 conditions) was 44.9% and was higher in those <65 years ( p <.0001). Depression (26.8%) and anxiety (24.7%) were the most common mental conditions involved in SMM and frequently co-occurred with CMC. Among other prevalent somatic conditions, arthritis (51.7%), chronic obstructive pulmonary disease (33.5%), and cancer (29.3%) co-occurred with CMC (Figure 1). Conclusions: Half of patients in CR have ≥7 chronic conditions. Somatic and mental health multimorbidity (SMM) is highly prevalent and is more frequent in those younger than 65 years old. Our results highlight the critical need to better understand the clinical burden of SMM in patients undergoing CR.

Introduction: Elevated lipoprotein(a) [Lp(a)] is associated with atherosclerotic cardiovascular disease (ASCVD), yet little is known about Lp(a) testing patterns in real-world practice. We hypothesized that Lp(a) testing occurs in a different population than calculated low density lipoprotein (LDL-C) testing alone, and that elevated Lp(a) is associated with greater lipid-lowering therapy (LLT) initiation and cardiovascular (CV) events. Methods: We used data from 11 health systems participating in the National Patient-Centered Clinical Research Network. We created two cohorts based on lab tests from Jan 1, 2015 to Dec 31, 2019: 1) the Lp(a) cohort, of adults with an Lp(a) test and 2) the LDL-C cohort, of 4:1 date- and site-matched adults with an LDL-C test, but no Lp(a) test. We used logistic regression to assess the relationship between Lp(a) levels (< 50, 50-100, and > 100mg/dL) and initiation of LLT within 3 months; and cox proportional hazards to evaluate Lp(a) levels and time to all-cause hospitalization and the composite of MI, revascularization and ischemic stroke hospitalization. Results: Overall, 20,551 patients (0.06% per year) had Lp(a) tests, with median Lp(a) value 17.5mg/dL (Q1, Q3: 7.0, 56.0). Compared with the LDL-C cohort (N=82,204), the Lp(a) cohort more frequently had ASCVD (24.3% vs. 8.5%) or multiple prior CV events (8.6% vs. 2.6%). Elevated Lp(a) was associated with greater odds of LLT initiation (Figure 1). Elevated Lp(a) was not significantly associated with all-cause hospitalization; however, Lp(a) > 100mg/dL was correlated with composite CV hospitalization compared with Lp(a) < 50mg/dL [adj HR (95% CI): 1.24 (1.06-1.44), p=0.006]. Conclusions: Lp(a) testing occurs more often in adults with ASCVD and multiple CV events, but testing is infrequent. Elevated Lp(a) was associated with LLT initiation, including niacin, despite lack of evidence of CV benefit. There was an association between elevated Lp(a) and CV hospitalization outcomes.

Introduction: The presence of chronic somatic and mental health conditions is complex and challenging for patients and the health care system due to the health deficit accumulation, worsening outcomes, and increased health care utilization. While previous studies on multimorbidity have focused on somatic chronic conditions, we aim to assess the relation between somatic, mental, and combined somatic-mental multimorbidity (SMM) and impact on Major Adverse Cardiac Events (MACE) in patients enrolled in phase II outpatient cardiac rehabilitation (CR). Methods: Using the Rochester Epidemiology Project records-linkage system, we identified patients from Olmsted County, Minnesota who were 18 years old and attended (≥1) CR sessions at Mayo Clinic Rochester. The prevalence of 18 (somatic=13; mental=5) chronic conditions defined by the US Department of Health and Human Services was ascertained electronically. Results: We included 618 patients; 24.4% were female. Patients were 61.5±11.0 years old with 38.0% ≥65 years old. Overall median number of chronic conditions was 6 (Range 0-13) with 98.8% of patients having ≥2 conditions. The prevalence of combined SMM was 44.6%. Mean follow-up was 7.3± 4.5 years, 147 (23.7%) patients had MACE (number): acute coronary syndrome (46), percutaneous coronary intervention (33), heart failure (16), stroke (8), coronary artery bypass grafting (4), ventricular arrhythmias (4), or death (65). Risk of MACE in patients with SMM was significantly higher compared to patients with only somatic conditions (HR: 1.62, 95% CI: 1.14-2.30, p=0.01 ), Figure 1. The association remained significant after adjustment for age and sex ( p=0.006 ). Conclusions: Our results show that somatic-mental multimorbidity (SMM) in CR patients is highly prevalent and imposes a higher risk of MACE compared with patients who have only somatic conditions highlighting the importance of individualized assessment and care plans to reduce adverse events and mortality.

Introduction: Heart failure (HF) is a clinical syndrome with high mortality. Left ventricular ejection fraction (EF) determines clinical phenotyping and HF is classified most often as preserved (HFpEF) or reduced (HFrEF) EF. The importance of expanding phenotyping beyond EF is recognized. We hypothesized that machine learning applied to echocardiography will provide information important for deep phenotyping. Methods: We collected clinical and echo data in a HF community cohort between 2013 and 2017. Unsupervised clustering was applied to 23 echo variables using partitioning around medoids (PAM), with Gower dissimilarity used to address the mixed variable types. Proportional hazards regression examined the association between cluster assignment and death. Results: We identified 4978 persons with HF [mean age 73.9 years (SD 13.9), 47% women] with echocardiography within 6 months of diagnosis. We identified 2 primary clusters using echo variables, as depicted using t-Distributed Stochastic Neighbor Embedding (t-SNE) applied to the dissimilarity matrix (Figure). Diastolic function variables exhibited the largest differences by clusters as shown by absolute standardized differences (Table). After 3.2 + 1.9 years of follow up, 2001 deaths occurred. Assignment to cluster 2 was associated with a near 20% excess risk of death independent of age, sex, comorbidity, and EF [HR 1.17 (1.07, 1.28) p<0.001]. Conclusions: Unsupervised clustering applied to echocardiography in a large community HF cohort identified 2 distinct clusters, which defined HF subgroups with different characteristics and were independently associated with risk of death.

Background: Many patients with atherosclerotic cardiovascular disease (ASCVD) or diabetes mellitus (DM) do not receive guideline-recommended lipid lowering therapy (LLT). We characterized LLT treatment patterns and identified predictors of high intensity statin prescriptions (Rx) in patients with ASCVD and DM. Methods: Olmsted County, MN residents with DM or ASCVD (MI, unstable angina, revascularization, ischemic stroke/TIA) from 2005-2012 were followed for 2 years capturing all LDL-C and LLT Rx. Cox regression examined predictors of high intensity statin Rx, modeling LDL-C as a time-dependent variable. Results: 8408 patients with DM (n=4881) or ASCVD (n=3527) were identified (mean age 63.1, 55.1% male). Over 2 years, mean (SD) number of LDL-C measurements was 2.7 (1.9); 12.1% had none. Among those with ≥1 LDL-C, the first was ≥100 mg/dL in 46.2%. LLT Rx increased within 30 days after the first LDL-C. (Table). However, among those with LDL-C ≥100, 40.1% were not prescribed LLT; these patients were younger (mean age 56.9 vs 60.8), more likely female (52.7% vs 45.6%) and more likely to have DM vs ASCVD (84.5% vs 54.6%) than those prescribed LLT. High intensity statin Rx increased more for those with LDL-C ≥100 than those with LDL-C <100. Men [HR 1.29 (CI 1.13-1.48)] and patients with ASCVD vs DM [6.12 (5.25-7.12)] were more likely to be prescribed high intensity statins. Higher LDL-C was associated with greater high intensity statin Rx, although associations differed between ASCVD and DM (p-interaction=0.004). Compared to DM, ASCVD patients were more likely prescribed high intensity statins at every level of LDL-C [2.73 (1.70-4.37), 6.47 (4.94-8.47), 5.68 (4.45-7.25), and 7.88 (5.89-10.53) for LDL-C <70, 70-99, 100-130, and ≥130]. Conclusions: Although high intensity statin Rx increased in response to increasing LDL-C, a large proportion of patients do not receive guideline-concordant care. Efforts should be made to encourage more aggressive treatment of elevated LDL-C and to understand why treatment is neglected or delayed.

Background: Women and African Americans with atrial fibrillation (AF) experience higher rates of stroke compared to men and white AF patients, respectively. However, sex and race differences for cardiovascular outcomes other than stroke have not been specifically evaluated in patients with AF. Methods: We studied patients with AF in the Optum Clinformatics database between 2009 and 2015 with at least 6 months of enrollment before AF diagnosis. The Optum Clinformatics database includes medical and pharmacy claims and sociodemographic information on privately insured and Medicare Advantage enrollees throughout the US. Endpoints (hospitalizations for ischemic stroke, heart failure (HF), myocardial infarction (MI)) and covariates were defined using validated algorithms. Multivariable Cox models were used to study the association of race and sex with endpoints of interest. Results: The analysis included 380,636 eligible participants (mean age 73, women 45%). Of them, 82% were white, 9% African American, 7% Hispanic and 2% Asian American. During a mean follow-up of 23 months, 7,235 suffered ischemic stroke, 17,258 HF, and 5,585 MI. Crude rates of ischemic stroke and HF were higher in women than men, while men had higher rates of MI than women (Table). African Americans and Hispanics had higher rates of all studied outcomes than whites and Asian Americans. In models including age, sex, race, education and CHA 2 DS 2 -VASc score, women had higher risk of ischemic stroke and lower risk of HF and MI compared to men. Compared to whites, African Americans had 1.4 times the rate of HF and stroke, and 1.1 times the rate of MI, while Asian Americans had 16% lower rates of HF. No major differences were observed between rates in whites and Hispanics (Table). Conclusion: In a large insured population of patients with AF, we observed differences in rates of selected cardiovascular outcomes by sex and race. Additional research should explore the mechanisms underlying these differences and develop strategies to eliminate them.

Abstract Background Cognitive function is essential to effective self‐management of heart failure (HF). Alzheimer's disease and Alzheimer's disease‐related dementias (AD/ADRD) can coexist with HF, but its exact prevalence and impact on health care utilization and death are not well defined. Methods Residents from 7 southeast Minnesota counties with a first‐ever diagnosis code for HF between January 1, 2013 and December 31, 2018 were identified. Clinically diagnosed AD/ADRD was ascertained using the Centers for Medicare and Medicaid (CMS) Chronic Conditions Data Warehouse algorithm. Patients were followed through March 31, 2020. Cox and Andersen‐Gill models were used to examine associations between AD/ADRD (before and after HF) and death and hospitalizations, respectively. Results Among 6336 patients with HF (mean age [SD] 75 years [14], 48% female), 644 (10%) carried a diagnosis of AD/ADRD at index HF diagnosis. The 3‐year cumulative incidence of AD/ADRD after HF diagnosis was 17%. During follow‐up (mean [SD] 3.2 [1.9] years), 2618 deaths and 15,475 hospitalizations occurred. After adjustment, patients with AD/ADRD before HF had nearly a 2.7 times increased risk of death, but no increased risk of hospitalization compared to those without AD/ADRD. When AD/ADRD was diagnosed after the index HF date, patients experienced a 3.7 times increased risk of death and a 73% increased risk of hospitalization compared to those who remain free of AD/ADRD. Conclusions In a large, community cohort of patients with incident HF, the burden of AD/ADRD is quite high as more than one‐fourth of patients with HF received a diagnosis of AD/ADRD either before or after HF diagnosis. AD/ADRD markedly increases the risk of adverse outcomes in HF underscoring the need for future studies focused on holistic approaches to improve outcomes.

Background Associations between depression, incident heart failure (HF), and mortality are well documented in predominately White samples. Yet, there are sparse data from racial minorities, including those who are women, and depression is underrecognized and undertreated in the Black population. Thus, we examined associations between baseline depressive symptoms, incident HF, and all‐cause mortality across 10 years. Methods and Results We included Jackson Heart Study (JHS) participants with no history of HF at baseline (n=2651; 63.9% women; median age, 53 years). Cox proportional hazards models tested if the risk of incident HF or mortality differed by clinically significant depressive symptoms at baseline (Center for Epidemiological Studies–Depression scores ≥16 versus <16). Models were conducted in the full sample and by sex, with hierarchical adjustment for demographics, HF risk factors, and lifestyle factors. Overall, 538 adults (20.3%) reported high depressive symptoms (71.0% were women), and there were 181 cases of HF (cumulative incidence, 0.06%). In the unadjusted model, individuals with high depressive symptoms had a 43% greater risk of HF ( P =0.035). The association remained with demographic and HF risk factors but was attenuated by lifestyle factors. All‐cause mortality was similar regardless of depressive symptoms. By sex, the unadjusted association between depressive symptoms and HF remained for women only ( P =0.039). The fully adjusted model showed a 53% greater risk of HF for women with high depressive symptoms ( P =0.043). Conclusions Among Black adults, there were sex‐specific associations between depressive symptoms and incident HF, with greater risk among women. Sex‐specific management of depression may be needed to improve cardiovascular outcomes.

Abstract Using vaccine data combined with electronic health records, we report that mRNA boosters provide greater protection than a 2-dose regimen against SARS-CoV-2 infection and related hospitalizations. The benefit of a booster was more evident in the elderly and those with comorbidities.