The impact of multimorbidity and functional limitation on quality of life in patients with heart failure: A multi-site study

BACKGROUND

Multimorbidity and functional limitation are associated with poor outcomes in heart failure (HF). However, the individual and combined effect of these on health-related quality of life in patients with HF is not well understood.

METHODS

Patients aged ≥30 years with two or more HF diagnostic codes and one or more HF-related prescription drugs from four U.S. institutions were mailed a survey to measure patient-centric factors including functional status (activities of daily living [ADLs]) and health-related quality of life (PROMIS-29 Health Profile). Patients with HF from January 1, 2013 to February 1, 2018 were included. Multimorbidity was defined as ≥2 non-cardiovascular comorbidities; functional limitation as any limitation in at least one of eight ADLs. Patients were categorized into four groups by multimorbidity (Yes/No) and functional limitation (Yes/No). We dichotomized the PROMIS-29 sub-scale scores at the median and calculated odd ratios for the four multimorbidity/functional limitation groups.

RESULTS

A total of 3330 patients with HF returned the survey (response rate 31%); 3020 completed the questions of interest and were retained. Among these patients (45% female; mean age 73 [standard deviation: 12] years), 29% had neither multimorbidity nor functional limitation, 24% had multimorbidity only, 22% had functional limitation only, and 25% had both. After adjustment, having functional limitation only was associated with higher anxiety (odds ratio [OR]: 3.44, 95% confidence interval [CI]: 2.66-4.45), depression (OR: 3.11, 95% CI: 2.39-4.06), and fatigue (OR: 4.19, 95% CI: 3.25-5.40); worse sleep (OR: 2.14, 95% CI: 1.69-2.72) and pain (OR: 6.73, 95% CI: 5.15-8.78); and greater difficulty with social activities (OR: 9.40, 95% CI: 7.19-12.28) compared with having neither. Results were similar for having both multimorbidity and functional limitation.

CONCLUSION

Patients with only functional limitation have similar poor health-related quality of life scores as those with both multimorbidity and functional limitation, underscoring the important role that physical functioning plays in the well-being of patients with HF.

Incidence and outcomes of high bleeding risk patients with type 1 and type 2 myocardial infarction in a community-based cohort: Application of the Academic Research Consortium High Bleeding Risk Criteria

BACKGROUND AND AIMS

The incidence and outcomes of high bleeding risk (HBR) patients in a community cohort according to the Academic Research Consortium (ARC) criteria is not known. We hypothesized that HBR is common and associated with worse outcomes for all-comers with myocardial infarction.

METHODS

We prospectively collected all patients with cardiac troponin T > 99th percentile upper limit of normal (≥0.01 ng/mL) in Olmsted County between 2003 and 2012. Events were retrospectively classified as type 1 myocardial infarction (T1MI), type 2 myocardial infarction (T2MI), or myocardial injury. Patients were further classified as HBR based on the "ARC-HBR definition." Outcomes included all-cause mortality, cardiovascular mortality, recurrent MI, stroke, and major bleeding.

RESULTS

2419 patients were included in the final study; 1365 were classified as T1MI and 1054 as T2MI. Patients were followed for a median of 5.5 years. ARC-HBR was more common in T2MI than T1MI (73% vs 46%, p < 0.001). Among patients with T1MI, HBR was associated with higher all-cause mortality (HR 3.7, 95% CI 3.2-4.5, p < 0.001), cardiovascular mortality (4.7, 3.6-6.3, p < 0.001), recurrent MI (2.1, 1.6-2.7, p < 0.001), stroke (4.9, 2.9-8.4, p < 0.001), and major bleeding (6.5, 3.7-11.4, p < 0.001). For T2MI, HBR was similarly associated with higher all-cause mortality (HR 2.1, 95% CI 1.8-2.5, p < 0.001), cardiovascular mortality (2.7, 1.8-4.0, p < 0.001), recurrent MI (1.7, 1.1-2.6, p = 0.02) and major bleeding (HR 15.6, 3.8-63.8, p < 0.001).

CONCLUSION

HBR is common among unselected patients with T1MI and T2MI and is associated with increased overall and cardiovascular mortality, recurrent cardiovascular events, and major bleeding on long-term follow up.

Bicuspid aortic valve: long-term morbidity and mortality

BACKGROUND AND AIMS

Bicuspid aortic valve (BAV) is the most common congenital heart anomaly. Lifetime morbidity and whether long-term survival varies according to BAV patient-sub-groups are unknown. This study aimed to assess lifetime morbidity and long-term survival in BAV patients in the community.

METHODS

The authors retrospectively identified all Olmsted County (Minnesota) residents with an echocardiographic diagnosis of BAV from 1 January 1980 to 31 December 2009, including patients with typical valvulo-aortopathy (BAV without accelerated valvulo-aortopathy or associated disorders), and those with complex valvulo-aortopathy (BAV with accelerated valvulo-aortopathy or associated disorders).

RESULTS

652 consecutive diagnosed BAV patients [median (IQR) age 37 (22-53) years; 525 (81%) adult and 127 (19%) paediatric] were followed for a median (IQR) of 19.1 (12.9-25.8) years. The total cumulative lifetime morbidity burden (from birth to age 90) was 86% (95% CI 82.5-89.7); cumulative lifetime progression to ≥ moderate aortic stenosis or regurgitation, aortic valve surgery, aortic aneurysm ≥45 mm or z-score ≥3, aorta surgery, infective endocarditis and aortic dissection was 80.3%, 68.5%, 75.4%, 27%, 6% and 1.6%, respectively. Survival of patients with typical valvulo-aortopathy [562 (86%), age 40 (28-55) years, 86% adults] was similar to age-sex-matched Minnesota population (P = .12). Conversely, survival of patients with complex valvulo-aortopathy [90 (14%), age 14 (3-26) years, 57% paediatric] was lower than expected, with a relative excess mortality risk of 2.25 (95% CI 1.21-4.19) (P = .01).

CONCLUSION

The BAV condition exhibits a high lifetime morbidity burden where valvulo-aortopathy is close to unavoidable by age 90. The lifetime incidence of infective endocarditis is higher than that of aortic dissection. The most common BAV clinical presentation is the typical valvulo-aortopathy with preserved expected long-term survival, while the complex valvulo-aortopathy presentation incurs higher mortality.

Reproductive Experiences and Cardiovascular Disease Care in Pregnancy-Capable and Postmenopausal Individuals: Insights From the American Heart Association Research Goes Red Registry

To evaluate preconception health and adverse pregnancy outcome (APO) awareness in a large population-based registry. We examined data from the Fertility and Pregnancy Survey of the American Heart Association Research Goes Red Registry to questions regarding prenatal health care experiences, postpartum health, and awareness of the association of APOs with cardiovascular disease (CVD) risk. Among postmenopausal individuals, 37% were unaware that APOs were associated with long-term CVD risk, significantly varying by race-ethnicity. Fifty-nine percent of participants were not educated regarding this association by their providers, and 37% reported providers not assessing pregnancy history during current visits, significantly varying by race-ethnicity, income, and access to care. Only 37.1% of respondents were aware that CVD was the leading cause of maternal mortality. There is an urgent, ongoing need for more education on APOs and CVD risk, to improve the health-care experiences and postpartum health outcomes of pregnant individuals.

Reproductive Experiences and Cardiovascular Disease Care in Pregnancy Capable and Post-Menopausal Individuals: Insights from the American Heart Association Research Goes Red Registry

Background

Information on reproductive experiences and awareness of adverse pregnancy outcomes (APOs) and cardiovascular disease (CVD) risk among pregnancy-capable and post-menopausal individuals has not been well described. We sought to evaluate preconception health and APO awareness in a large population-based registry.

Methods

Data from the Fertility and Pregnancy Survey of the American Heart Association Research Goes Red Registry (AHA-RGR) were used. Responses to questions pertaining to prenatal health care experiences, postpartum health, and awareness of the association of APOs with CVD risk were used. We summarized responses using proportions for the overall sample and by stratifications, and we tested differences using the Chi-squared test.

Results

Of 4,651individuals in the AHA-RGR registry, 3,176 were of reproductive age, and 1,475 were postmenopausal. Among postmenopausal individuals, 37% were unaware that APOs were associated with long-term CVD risk. This varied by different racial/ethnic groups (non-Hispanic White: 38%, non-Hispanic Black: 29%, Asian: 18%, Hispanic: 41%, Other: 46%; P = 0.03). Fifty-nine percent of the participants were not educated regarding the association of APOs with long-term CVD risk by their providers. Thirty percent of the participants reported that their providers did not assess pregnancy history during current visits; this varied by race-ethnicity ( P = 0.02), income ( P = 0.01), and access to care ( P = 0.02). Only 37.1% of the respondents were aware that CVD was the leading cause of maternal mortality.

Conclusions

Considerable knowledge gaps exist in the association of APOs with CVD risk, with disparities by race/ethnicity, and most patients are not educated on this association by their health care professionals. There is an urgent and ongoing need for more education on APOs and CVD risk, to improve the health-care experiences and postpartum health outcomes of pregnant individuals.

Abstract P584: The Impact of Multimorbidity and Functional Limitation on Mental Health and Quality of Life Among Patients With Heart Failure

Background: Multimorbidity (MM) and functional limitation (FL) are associated with poor outcomes in heart failure (HF). However, the individual and combined effect of these on mental health and quality of life in patients with HF is not well understood.

Methods: Patients aged ≥ 30 years with 2 or more HF diagnostic codes and 1 or more HF-related prescription drugs from four US institutions were mailed a survey to measure functional status (activities of daily living [ADLs]), quality of life and mental health (PROMIS-29 Health Profile) and social support (PROMIS Informational Support, Instrumental Support, and Social Isolation Short Forms). The sampling frame was restricted to patients with a first ever-diagnosis of HF on or after 1/1/2013 at 1 of the participating sites and on or after 1/1/2015 for the other 3 participating sites. A total of 3330 patients returned the survey (response rate 35%); among these, 3020 completed the questions of interest for this analysis and were retained. MM was defined as the presence of ≥ 2 non-cardiovascular comorbidities, and FL was defined as reporting any limitation in at least 1 of 8 ADLs. Patients were categorized into 4 groups by MM (Yes/No) and FL (Yes/No). We dichotomized the subscale scores of the PROMIS-29 at the median and calculated odd ratios for the 4 MM/FL groups.

Results: Among 3020 patients with HF (45% female; mean age 73±12 years), 29% had neither MM or FL, 24% had MM only, 22% had FL only, and 25% had both. After adjustment, having both MM and FL or only FL was associated with increased odds of higher anxiety, depression, fatigue, sleep, and pain scores compared to having neither (Figure); having MM only was associated with a higher pain score.

Conclusions: Patients with both FL and MM and only FL have similar odds of poor mental health and quality of life scores, underscoring the importance of the role that FL plays in outcomes in patients with HF.

Abstract P179: Development and Implementation of a Large, Multi-Center Survey of Patients With Heart Failure

Background: Most patients with heart failure (HF) have multimorbidity which may cause difficulties with self-management. Understanding the determinants of successful self-management and the resources patients draw upon to effectively manage their health is fundamental to designing new practice models to improve outcomes in HF.

Methods: We developed a survey guided by the Chronic Care Model to understand the distribution of patient-centric factors, including health literacy, social support, self-management, and functional and mental status in patients with HF. The survey was administered to HF patients from 4 health care systems participating in PCORnet® (the National Patient-Centered Clinical Research Network). Patients were identified utilizing data available in the PCORnet common data model on or after 1/1/2013 at 1 health system and on or after 1/1/2015 at 3 health systems: age ≥30 years, ≥2 HF diagnostic codes, and ≥1 HF-related prescription (positive predictive value of algorithm: 81%).

Results: A total of 10,662 patients with HF were identified, 9684 were mailed a survey, and 3330 completed a survey (response rate: 35%). Responders were older than non-responders (74 vs. 71 years), less racially diverse (3% vs. 12% non-White), less likely to have reduced ejection fraction (EF; 22% vs. 27% with EF <40%), and had higher prevalence of most chronic conditions. Responders reported their health was generally good or fair, they frequently had cardiovascular comorbidities, more than half had difficulty climbing stairs, and more than 10% reported difficulties with bathing, preparing meals, and using transportation (Table). Nearly 80% of patients had family or friends sit with them during a doctor visit, and most (54%) manage their health by themselves.

Conclusion: More than half of patients with HF manage their health by themselves even though most bring someone along to their health care appointments. Increased understanding of self-management resources may guide the development of interventions to improve HF outcomes.

Abstract P173: Proteomic Assessment of Progressive Chronic Renal Insufficiency Risk and Mortality in a Heart Failure Community Study

Introduction: Over six million U.S. adults have heart failure (HF). Evaluation of kidney function is critical to the care of patients with HF but may not be fully captured by traditional measures, such as estimated glomerular filtration rate (eGFR) or the Meta-Analysis Global Group in Chronic HF (MAGGIC) risk score. Identifying patients at highest risk of progressive chronic renal insufficiency (PCRI) may improve risk stratification in HF, beyond these traditional measures. High-throughput proteomics has allowed for the development of PCRI risk scores based on novel kidney function biomarkers. However, the prognostic value of a proteomic-based PCRI risk score in HF has not been explored.

Hypothesis: Proteomic-based PCRI risk scores will improve risk stratification in HF.

Methods: Clinical data and plasma were collected from 1,389 patients in a HF community cohort from Southeastern Minnesota (2003-2012). Results from the aptamer-based technology SomaScan® were used to derive PCRI risk scores using the SomaSignal™ Kidney Prognosis test, a protein-based algorithm developed to predict risk of PCRI within four years. Cox proportional hazard models were used to estimate the association between quintiles of PCRI and mortality, after adjustment for the MAGGIC score.

Results: PCRI risk scores were available for 1,349 patients who were on average 75±13 years of age, 48% female, and had a median eGFR of 57 mL/min/1.73m 2 . There was a positive association with mortality across PCRI risk quintiles, after adjustment for the MAGGIC score. (Figure). Overall, the highest quintile was associated over a two-fold higher risk of mortality compared with the lowest quintile (HR 2.3, 95% CI 1.8,2.8). The higher risk of mortality remained in analyses stratified by patients with (HR 1.5, 95% CI 1.1,2.1) and without (HR 2.2, 95% CI 1.4,3.5) an eGFR <60 mL/min/1.73 m 2 .

Conclusions: In this community HF cohort, proteomic-based PCRI risk scores improve risk stratification, independent of traditional measures of kidney function.

Abstract P524: Metabolic Vulnerability and Frailty for Risk Stratification in Heart Failure: A Community Cohort Study

Introduction: Over 6 million people in the U.S. have heart failure (HF), less than half are expected to survive beyond 5 years. The need to better stratify mortality risk in HF is recognized. Frailty is associated with mortality in HF but not routinely measured clinically. As frailty is linked to inflammation and malnutrition, we hypothesized that the Metabolic Vulnerability Index (MVX) a multimarker score of systemic inflammation (small HDL particles, GlycA) and malnutrition (leucine, valine, isoleucine, citrate), could serve as a biomarker of frailty to predict mortality risk.

Methods: Clinical data and plasma were collected from 1,389 patients from a HF community cohort between 2003-2012. We measured frailty using the Rockwood Index as the proportion of deficits present out of 32 physical limitations and comorbidities. MVX was calculated from the nuclear magnetic resonance LipoProfile® test. Patients were categorized by frailty (0-0.15; 0.16-0.27; 0.28-0.78) and MVX (33.4-50, 50-60, 60-70, 70-85.8) cutpoints. Cox models estimated the association of frailty and MVX assignment with mortality, adjusted for Meta-Analysis Global Group in Chronic HF (MAGGIC) score, a validated clinical risk score for HF mortality.

Results: Frailty and MVX scores were available in 985 patients (median age 77, IQR: 67-84; 48% women). Higher frailty was associated with higher MVX (p-trend < 0.001). The highest frailty and MVX groups experienced large increases in risk of death, after adjustment for MAGGIC score (HR=3.3, 95% CI=2.6-4.2) and (HR=2.7, 95% CI=2.1-3.5), respectively. When adjusted for one another and MAGGIC score, MVX and frailty associations with death were only minimally attenuated: frailty (HR=3.2, 95% CI=2.5-4.0) and MVX (HR=2.4, 95% CI=1.9-3.2) (Figure 1).

Conclusion: In this community cohort of patients with HF, frailty and MVX are positively associated with one another. However, both indicators are independently associated with an increased risk of death and can contribute to risk stratification.

Abstract P178: Incremental Value of Charlson Comorbidity Index Over Disease-Centric Score in Heart Failure

Introduction: Heart Failure (HF) is a syndrome of high comorbidity and mortality. The impact of comorbidities on life expectancy in HF is well studied, but guideline-recommended disease-centric risk scores such as the Meta-analysis Global Group in Chronic Heart Failure (MAGGIC) score may not fully account for the effect of comorbidities. The Charlson Comorbidity Index (Charlson) is a validated measure that quantifies the prognostic impact of comorbidities.

Objective: To examine the incremental value of Charlson over MAGGIC in predicting death in HF.

Methods: In a population-based HF cohort, we computed MAGGIC and Charlson scores using electronically linked medical records. Patients were divided based on ejection fraction (EF) into reduced [EF <50%, HFrEF] or preserved [EF ≥50%, HFpEF]. Cox regression was performed to assess the association between the risk scores and mortality. The incremental value of Charlson over MAGGIC was tested by calculating the area under the ROC [receiver operating characteristic] curves (AUCs) with 95% confidence interval (CI).

Results: We studied 1,388 patients with HF validated using the Framingham criteria (mean age, 75±13 years, 48% female, mean EF, 49±17%). The median Charlson was 7.0 (interquartile range 5.0-9.0) and was higher in HFpEF than HFrEF (7.0 [5.0-9.0] vs. 6.0 [4.0-8.3] respectively. Over a median follow-up of 13.9 years (13.3-14.2), mortality was 17.4% (95% CI, 15.4 -19.3%) and 36.8% (95% CI, 34.2-39.3%) at 1, and 3 years respectively. In regression analysis, increasing MAGGIC and Charlson were independently associated with death (HR 1.09, 95% CI 1.08-1.11 and HR,1.22, 95% CI 1.20-1.24, both p <0.001) irrespective of EF. Discrimination ability was improved by adding Charlson over MAGGIC (Table), reaching statistical significance at 3 years.

Conclusion: In this HF cohort, the Charlson index provided an added value over MAGGIC in predicting the risk of death at 3 years. These findings emphasize the importance of accounting for comorbidities in mid-term risk stratification in HF.

Incident Heart Failure With Mildly Reduced Ejection Fraction: Frequency, Characteristics, and Outcomes

BACKGROUND

Heart failure (HF) with an ejection fraction (EF) of 41%-49% is recognized as HF with a mildly reduced EF (HFmrEF). However, existing knowledge of the HFmrEF phenotype is based on HF clinical trial and registry cohorts that may be limited by multiple forms of bias.

METHODS AND RESULTS

In a community-based, retrospective cohort study, adult residents of Olmsted County, Minnesota, with validated (Framingham criteria) incident HF from 2007 to 2015 were categorized by echocardiographic EF at first HF diagnosis. Among 2035 adults with incident HF, 12.5% had HFmrEF, 29.9% had HF with reduced EF (HFrEF), and 57.6% had HF with preserved EF (HFpEF). Mean age and sex varied by EF group, with HFmrEF (75.6 years, 45.3% female), HFrEF (70.9 years, 36.5% female), and HFpEF (76.9 years, 59.7% female). Most comorbid conditions were more common in HFmrEF vs HFrEF, but similar in HFmrEF and HFpEF. After a mean follow-up of 4.6 ± 3.5 years, adjusting for age, sex, and comorbidities, the risks of hospitalization and cardiovascular mortality did not differ by EF category. Of patients who began as HFmrEF, 26.9% declined to an EF of 40% or less and 44.8% improved to an EF of 50% or greater.

CONCLUSIONS

In this community cohort of incident HF, 12.5% have HFmrEF. Clinical characteristics in HFmrEF resemble HFpEF more than HFrEF. Adjusted hospitalization and mortality risks did not vary by EF group. Patients with incident HFmrEF usually transitioned to a different EF category on follow-up.

Protein signatures of heart failure mortality in the community

Background

Heart failure (HF) is a complex clinical syndrome that affects over 60 million persons worldwide.1 The 5-year survival rate of HF is less than 50% irrespective of ejection fraction (EF) and the limitations of EF in sufficiently phenotyping HF are recognized.2,3 High throughput proteomics assays are an attractive option for precision phenotyping.4

Purpose

To explore the proteomic profiles and biomarker pathways associated with death in an HF community cohort.

Methods

We measured proteomics in plasma specimens collected from an HF cohort (2003–2012) of patients predominantly of European Ancestry (92%). The relative concentrations of circulating plasma proteins were measured using an aptamer-based assay containing 7335 human protein targets. Proteins significantly associated with mortality were selected while adjusting for age, sex, and eGFR. These proteins were employed in clustering analysis and subjected to 10-fold cross-validation. We quantified and corrected the clustering bias via bootstrapping and subsequently validated the results via semi-supervised clustering. Multivariable Cox regression was implemented for the cluster variable while adjusting for the Meta-analysis Global Group in Chronic Heart Failure (MAGGIC) risk score. Additionally, we performed enrichment and pathway analysis of the outcome-associated proteins considering significance thresholds of −log10(P-value) &gt;2, FDR corrected P&lt;0.05 (regulator analysis) and Z-scores of &gt;2 and &lt;−2 as thresholds for activation and inhibition of proteins/pathways.

Results

From a total of 1,388 patients (mean age 75±13; 52% male), 2 distinct clusters, (HR: 2.04; 95% CI [1.78–2.34]; p-value: &lt;0.0001 independent of MAGGIC) were identified, cluster 1; n=722, mean age 72±14; NYHA class III/IV: 41%/26%; EF: 47%±17 and cluster 2; n=666, mean age 79±11; NYHA class III/IV: 41%/31%, EF: 48%±16 based on the 447 proteins [354 positively and 93 negatively] significantly associated with mortality (1,158 events). Gene-set enrichment analysis of all 447 proteins revealed cell adhesion, extracellular matrix organization, enzyme-linked protein/tyrosine kinase signaling pathways, humoral immune response, tissue development, growth factor signaling, post-translational protein modification, and platelet degranulation as the dominant biological themes. Finally, we found 18 upstream regulators predicted to be driving the expressions of the proteins in the dataset including a predicted outcome-associated protein-Transforming Growth Factor Beta 1 – TGFB1 (p=7.46E-09), Interleukin 1B, IL1B (p=9.40E-08), and oncostatin M, OSM (p=6.61E-05) as the top 3 regulators (predicted activation) based on FDR-corrected statistical significance of P&lt;0.05 (Figure 1)

Conclusion

We identified distinct clusters based on proteomic profiles associated with HF mortality independently of clinical prognostic makers. Further, we delineated protein regulators driving the major pathways associated with HF survival.

Funding Acknowledgement

Type of funding sources: Public Institution(s). Main funding source(s): Department of Intramural Research, NIH/NHLBI

Guideline-Directed Medical Therapy in Newly Diagnosed Heart Failure With Reduced Ejection Fraction in the Community

BACKGROUND

Guideline-directed medical therapy (GDMT) dramatically improves outcomes in heart failure with reduced ejection fraction (HFrEF). Our goal was to examine GDMT use in community patients with newly diagnosed HFrEF.

METHODS AND RESULTS

We performed a population-based, retrospective cohort study of all Olmsted County, Minnesota, residents with newly diagnosed HFrEF (EF ≤ 40%) 2007-2017. We excluded patients with contraindications to medication initiation. We examined the use of beta-blockers, HF beta-blockers (metoprolol succinate, carvedilol, bisoprolol), angiotensin converting enzyme inhibitors (ACEis), angiotensin receptor blockers (ARBs), angiotensin receptor neprilysin inhibitors (ARNIS), and mineralocorticoid receptor antagonists (MRAs) in the first year after HFrEF diagnosis. We used Cox models to evaluate the association of being seen in an HF clinic with the initiation of GDMT. From 2007 to 2017, 1160 patients were diagnosed with HFrEF (mean age 69.7 years, 65.6% men). Most eligible patients received beta-blockers (92.6%) and ACEis/ARBs/ARNIs (87.0%) in the first year. However, only 63.8% of patients were treated with an HF beta-blocker, and few received MRAs (17.6%). In models accounting for the role of an HF clinic in initiation of these medications, being seen in an HF clinic was independently associated with initiation of new GDMT across all medication classes, with a hazard ratio (95% CI) of 1.54 (1.15-2.06) for any beta-blocker, 2.49 (1.95-3.20) for HF beta-blockers, 1.97 (1.46-2.65) for ACEis/ARBs/ARNIs, and 2.14 (1.49-3.08) for MRAs.

CONCLUSIONS

In this population-based study, most patients with newly diagnosed HFrEF received beta-blockers and ACEis/ARBs/ARNIs. GDMT use was higher in patients seen in an HF clinic, suggesting the potential benefit of referral to an HF clinic for patients with newly diagnosed HFrEF.

Racial differences in the association of accelerated aging with future cardiovascular events and all-cause mortality: the coronary artery risk development in young adults study, 2007-2018

OBJECTIVE

Variability of Cardiovascular disease (CVD) risk, including racial difference, is not fully accounted for by the variability of traditional CVD risk factors. We used a multiple biomarker model as a framework to explore known racial differences in CVD burden.

DESIGN

We measured associations between accelerated aging (AccA) measured by a combination of biomarkers, and cardiovascular morbidity and all-cause mortality using data from the Coronary Artery Risk Development in Young Adults study (CARDIA). AccA was defined as the difference between biological age, calculated using biomarkers with the Klemera and Doubal method, and chronological age. Using logistic regression, we assessed overall and race-specific associations between AccA, CVD, and all-cause mortality.

RESULTS

Among our cohort of 2959 Black or White middle-aged adults, after adjustment, a one-year increase in AccA was associated with increased odds of CVD (Odds Ratio (OR) = 1.04; 95% CI: 1.02, 1.06), stroke (OR = 1.12; 95% CI: 1.07, 1.17), and all-cause mortality (OR = 1.05; 95% CI: 1.02, 1.08). We did not find significant overall racial differences, but we did find race by sex differences where Black men differed markedly from White men in the strength of association with CVD (OR = 1.06, 95% CI: 1.01, 1.12).

CONCLUSIONS

We provide evidence that AccA is associated with future CVD.

Development of Advanced Heart Failure: A Population-Based Study

BACKGROUND

Some patients with heart failure (HF) will go on to develop advanced HF, characterized by severe HF symptoms despite attempts to optimize medical therapy. The goals of this study were to examine the risk of developing advanced HF in patients with newly diagnosed HF, identify risk factors for developing advanced HF, and evaluate the impact of advanced HF on outcomes.

METHODS

This was a population-based, retrospective cohort study of Olmsted County, Minnesota, residents with a new clinical diagnosis of HF between 2007 and 2017. Risk factors for the development of advanced HF (2018 European Society of Cardiology criteria) were examined using cause-specific Cox proportional hazard regression models. The associations of development of advanced HF with risks of hospitalization and mortality were examined using the Andersen-Gill and Cox models, respectively.

RESULTS

There were 4597 residents with incident HF from 2007 to 2017. The cumulative incidence of advanced HF was 11.5% (95% CI, 10.5%-12.5%) at 6 years after incident HF diagnosis overall and was 14.4% (95% CI, 12.3%-16.9%), 11.4% (95% CI, 8.9%-14.6%), and 11.7% (95% CI, 10.3%-13.2%) in patients with incident HF with reduced, mildly reduced, and preserved ejection fraction, respectively. Key demographics, comorbidities, and echocardiographic characteristics were independently associated with the development of advanced HF. Development of advanced HF was associated with increased risks of all-cause hospitalization (adjusted hazard ratio, 3.0 [95% CI, 2.7-3.4]; P<0.001), HF hospitalization (hazard ratio, 10.2 [95% CI, 8.7-12.1]), all-cause mortality (hazard ratio, 5.0 [95% CI, 4.5-5.6]; P<0.001), and cardiovascular mortality (hazard ratio, 7.8 [95% CI, 6.7-9.1]).

CONCLUSIONS

In this population-based study, development of advanced HF was common and was associated with markedly increased morbidity and mortality.

Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools

Cardiovascular disease remains the leading cause of death in women. Given accumulating evidence on sex- and gender-based differences in cardiovascular disease development and outcomes, the need for more effective approaches to screening for risk factors and phenotypes in women is ever urgent. Public health surveillance and health care delivery systems now continuously generate massive amounts of data that could be leveraged to enable both screening of cardiovascular risk and implementation of tailored preventive interventions across a woman's life span. However, health care providers, clinical guidelines committees, and health policy experts are not yet sufficiently equipped to optimize the collection of data on women, use or interpret these data, or develop approaches to targeting interventions. Therefore, we provide a broad overview of the key opportunities for cardiovascular screening in women while highlighting the potential applications of artificial intelligence along with digital technologies and tools.

Research Goes Red: Early Experience With a Participant-Centric Registry

RATIONALE

Cardiovascular disease remains the leading cause of death in women. To address its determinants including persisting cardiovascular risk factors amplified by sex and race inequities, novel personalized approaches are needed grounded in the engagement of participants in research and prevention.

OBJECTIVE

To report on a participant-centric and personalized dynamic registry designed to address persistent gaps in understanding and managing cardiovascular disease in women.

METHODS AND RESULTS

The American Heart Association and Verily launched the Research Goes Red registry (RGR) in 2019, as an online research platform available to consenting individuals over the age of 18 years in the United States. RGR aims to bring participants and researchers together to expand knowledge by collecting data and providing an open-source longitudinal dynamic registry for conducting research studies. As of July 2021, 15 350 individuals have engaged with RGR. Mean age of participants was 48.0 48.0±0.2 years with a majority identifying as female and either non-Hispanic White (75.7%) or Black (10.5%). In addition to 6 targeted health surveys, RGR has deployed 2 American Heart Association-sponsored prospective clinical studies based on participants' areas of interest. The first study focuses on perimenopausal weight gain, developed in response to a health concerns survey. The second study is designed to test the use of social media campaigns to increase awareness and participation in cardiovascular disease research among underrepresented millennial women.

CONCLUSIONS

RGR is a novel online participant-centric platform that has successfully engaged women and provided critical data on women's heart health to guide research. Priorities for the growth of RGR are centered on increasing reach and diversity of participants, and engaging researchers to work within their communities to leverage the platform to address knowledge gaps and improve women's health.

Ventricular Arrhythmias Among Patients With Advanced Heart Failure: A Population-Based Study

Background The epidemiology of ventricular arrhythmias (VAs) in patients with advanced heart failure (HF) is not well defined. Methods and Results Residents of Olmsted County, Minnesota, with advanced HF from 2007 to 2017 were identified using the 2018 European Society of Cardiology criteria. Billing codes were used to capture VAs; severe VAs requiring emergency care were defined as events associated with emergency department visits or hospitalizations. The cumulative incidence of VAs postadvanced HF was estimated with the Kaplan-Meier method. Multivariable Cox analyses were used to determine the following: (1) Predictors of severe VAs postadvanced HF; and (2) Impact of severe VAs on mortality. Of 936 patients with advanced HF, 261 (27.9%) had a history of VA. The 1-year cumulative incidence of severe VAs postadvanced HF was 5.4%. Prior VAs (hazard ratio [HR] 2.22 [95% CI, 1.26-3.89], P=0.006) and left ventricular ejection fraction <40% (HR, 3.79 [95% CI, 1.72-8.39], P<0.001) were independently associated with increased severe VA risk postadvanced HF. New-onset severe VAs were associated with increased mortality (HR, 4.41 [95% CI, 2.80-6.94]; P<0.001), whereas severe VAs in patients with prior VAs had no significant association with mortality risk (HR, 1.08 [95% CI, 0.65-1.78]; P=0.77). Severe VAs were associated with increased mortality in patients without implantable cardioverter defibrillators (HR, 4.89 [95% CI, 2.89-8.26]; P<0.001), but not in patients with implantable cardioverter defibrillators (HR, 1.42 [95% CI, 0.92-2.19]; P=0.11). Conclusions Patients with left ventricular ejection fraction <40% and prior VAs have increased risk of severe VA postadvanced HF. New-onset severe VAs or severe VAs without implantable cardioverter defibrillators postadvanced HF are associated with increased mortality.

Prevalence of Transthyretin Amyloid Cardiomyopathy in Heart Failure With Preserved Ejection Fraction

Importance

Heart failure (HF) with preserved ejection fraction (HFpEF) is common, is frequently associated with ventricular wall thickening, and has no effective therapy. Transthyretin amyloid cardiomyopathy (ATTR-CM) can cause the HFpEF clinical phenotype, has highly effective therapy, and is believed to be underrecognized.

Objective

To examine the prevalence of ATTR-CM without and with systematic screening in patients with HFpEF and ventricular wall thickening.

Design, Setting, and Participants

This population-based cohort study assessed ATTR-CM prevalence in 1235 consecutive patients in southeastern Minnesota with HFpEF both without (prospectively identified cohort study) and with (consenting subset of cohort study, n = 286) systematic screening. Key entry criteria included validated HF diagnosis, age of 60 years or older, ejection fraction of 40% or greater, and ventricular wall thickness of 12 mm or greater. In this community cohort of 1235 patients, 884 had no known ATTR-CM, contraindication to technetium Tc 99m pyrophosphate scanning, or other barriers to participation in the screening study. Of these 884 patients, 295 consented and 286 underwent scanning between October 5, 2017, and March 9, 2020 (community screening cohort).

Exposures

Medical record review or technetium Tc 99m pyrophosphate scintigraphy and reflex testing for ATTR-CM diagnosis.

Main Outcomes and Measures

The ATTR-CM prevalence by strategy (clinical diagnosis or systematic screening), age, and sex.

Results

A total of 1235 patients participated in the study, including a community cohort (median age, 80 years; interquartile range, 72-87 years; 630 [51%] male) and a community screening cohort (n = 286; median age, 78 years; interquartile range, 71-84 years; 149 [52%] male). In the 1235 patients in the community cohort without screening group, 16 patients (1.3%; 95% CI, 0.7%-2.1%) had clinically recognized ATTR-CM. The prevalence was 2.5% (95% CI, 1.4%-4.0%) in men and 0% (95% CI, 0.0%-0.6%) in women. In the 286 patients in the community screening cohort, 18 patients (6.3%; 95% CI, 3.8%-9.8%) had ATTR-CM. Prevalence increased with age from 0% in patients 60 to 69 years of age to 21% in patients 90 years and older (P < .001). Adjusting for age, ATTR-CM prevalence differed by sex, with 15 of 149 men (10.1%; 95% CI, 5.7%-16.1%) and 3 of 137 women (2.2%; 95% CI, 0.4%-6.3%) having ATTR-CM (P = .002).

Conclusions and Relevance

In this cohort study based in a community-based setting, ATTR-CM was present in a substantial number of cases of HFpEF with ventricular wall thickening, particularly in older men. These results suggest that systematic evaluation can increase the diagnosis of ATTR-CM, thereby providing therapeutically relevant phenotyping of HFpEF.

Poor quality of life in patients with and without frailty: co-prevalence and prognostic implications in patients undergoing percutaneous coronary interventions and cardiac catheterization

AIMS

We hypothesize that poor quality of life (QOL) is highly prevalent in frail older adults and is associated with worse prognosis.

METHODS AND RESULTS

Predismissal standardized tests for frailty and QOL were prospectively administered to patients included in two cohorts. In Cohort 1, 629 patients ≥65 years who underwent percutaneous coronary intervention (PCI) from 2005 to 2008, frailty (Fried criteria), and QOL [SF-36 and Seattle Angina Questionnaires (SAQ)] were ascertained. Cohort 2 included 921 patients ≥55 years who underwent cardiac catheterization (535 had PCI) from 2014 to 2018 and frailty was determined by Rockwood criteria and QOL by single-item, self-reported health questionnaire. In Cohort 1, 19% were frail and 20% patients in Cohort 2 were frail with a frailty index >0.30. The median SAQ for physical limitation (58.9 vs. 82.2, P < 0.001), physical (29.5 vs. 43.9, P < 0.001), and mental (49.2 vs. 57.4, P < 0.001) component scores of SF-36 in Cohort 1 were lower and self-rating of fair/poor health (56% vs 18%, P < 0.001) in Cohort 2 was significantly higher in frail patients. As compared to patients without frailty, frail patients were five times more likely (59% vs. 11%, P < 0.001) in Cohort 1 and seven times more likely (56% vs. 8%) in Cohort 2 to be classified with poor QOL. Age- and gender-adjusted 3-year all-cause death and death or myocardial infarction (MI) was significantly higher for patients undergoing PCI with frailty; [hazard ratio (95% confidence interval) death, 4.20 (2.63-6.68, P < 0.001) and death or MI hazard ratio (HR) 2.72 (1.91-3.87, P < 0.001)] and with poor QOL [HR death 2.47 (1.59-3.84, P < 0.001)] and death or MI 1.61 (1.16-2.24, P < 0.001). There was no significant interaction between frailty and QOL (P = 0.64) and only modest attenuation was observed when considered together indicating their independent prognostic influence.

CONCLUSION

In elderly patients undergoing cardiac catheterization or PCI, poor QOL is seen more frequently in frail patients. Both frailty and poor QOL had significant and independent association with long-term survival.

Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population

PURPOSE

The depth and breadth of clinical data within electronic health record (EHR) systems paired with innovative machine learning methods can be leveraged to identify novel risk factors for complex diseases. However, analysing the EHR is challenging due to complexity and quality of the data. Therefore, we developed large electronic population-based cohorts with comprehensive harmonised and processed EHR data.

PARTICIPANTS

All individuals 30 years of age or older who resided in Olmsted County, Minnesota on 1 January 2006 were identified for the discovery cohort. Algorithms to define a variety of patient characteristics were developed and validated, thus building a comprehensive risk profile for each patient. Patients are followed for incident diseases and ageing-related outcomes. Using the same methods, an independent validation cohort was assembled by identifying all individuals 30 years of age or older who resided in the largely rural 26-county area of southern Minnesota and western Wisconsin on 1 January 2013.

FINDINGS TO DATE

For the discovery cohort, 76 255 individuals (median age 49; 53% women) were identified from which a total of 9 644 221 laboratory results; 9 513 840 diagnosis codes; 10 924 291 procedure codes; 1 277 231 outpatient drug prescriptions; 966 136 heart rate measurements and 1 159 836 blood pressure (BP) measurements were retrieved during the baseline time period. The most prevalent conditions in this cohort were hyperlipidaemia, hypertension and arthritis. For the validation cohort, 333 460 individuals (median age 54; 52% women) were identified and to date, a total of 19 926 750 diagnosis codes, 10 527 444 heart rate measurements and 7 356 344 BP measurements were retrieved during baseline.

FUTURE PLANS

Using advanced machine learning approaches, these electronic cohorts will be used to identify novel sex-specific risk factors for complex diseases. These approaches will allow us to address several challenges with the use of EHR.

Comparative Effectiveness of Aspirin Dosing in Cardiovascular Disease

BACKGROUND

The appropriate dose of aspirin to lower the risk of death, myocardial infarction, and stroke and to minimize major bleeding in patients with established atherosclerotic cardiovascular disease is a subject of controversy.

METHODS

Using an open-label, pragmatic design, we randomly assigned patients with established atherosclerotic cardiovascular disease to a strategy of 81 mg or 325 mg of aspirin per day. The primary effectiveness outcome was a composite of death from any cause, hospitalization for myocardial infarction, or hospitalization for stroke, assessed in a time-to-event analysis. The primary safety outcome was hospitalization for major bleeding, also assessed in a time-to-event analysis.

RESULTS

A total of 15,076 patients were followed for a median of 26.2 months (interquartile range [IQR], 19.0 to 34.9). Before randomization, 13,537 (96.0% of those with available information on previous aspirin use) were already taking aspirin, and 85.3% of these patients were previously taking 81 mg of daily aspirin. Death, hospitalization for myocardial infarction, or hospitalization for stroke occurred in 590 patients (estimated percentage, 7.28%) in the 81-mg group and 569 patients (estimated percentage, 7.51%) in the 325-mg group (hazard ratio, 1.02; 95% confidence interval [CI], 0.91 to 1.14). Hospitalization for major bleeding occurred in 53 patients (estimated percentage, 0.63%) in the 81-mg group and 44 patients (estimated percentage, 0.60%) in the 325-mg group (hazard ratio, 1.18; 95% CI, 0.79 to 1.77). Patients assigned to 325 mg had a higher incidence of dose switching than those assigned to 81 mg (41.6% vs. 7.1%) and fewer median days of exposure to the assigned dose (434 days [IQR, 139 to 737] vs. 650 days [IQR, 415 to 922]).

CONCLUSIONS

In this pragmatic trial involving patients with established cardiovascular disease, there was substantial dose switching to 81 mg of daily aspirin and no significant differences in cardiovascular events or major bleeding between patients assigned to 81 mg and those assigned to 325 mg of aspirin daily. (Funded by the Patient-Centered Outcomes Research Institute; ADAPTABLE ClinicalTrials.gov number, NCT02697916.).

Recommendations for Statistical Reporting in Cardiovascular Medicine: A Special Report From the American Heart Association

Statistical analyses are a crucial component of the biomedical research process and are necessary to draw inferences from biomedical research data. The application of sound statistical methodology is a prerequisite for publication in the American Heart Association (AHA) journal portfolio. The objective of this document is to summarize key aspects of statistical reporting that might be most relevant to the authors, reviewers, and readership of AHA journals. The AHA Scientific Publication Committee convened a task force to inventory existing statistical standards for publication in biomedical journals and to identify approaches suitable for the AHA journal portfolio. The experts on the task force were selected by the AHA Scientific Publication Committee, who identified 12 key topics that serve as the section headers for this document. For each topic, the members of the writing group identified relevant references and evaluated them as a resource to make the standards summarized herein. Each section was independently reviewed by an expert reviewer who was not part of the task force. Expert reviewers were also permitted to comment on other sections if they chose. Differences of opinion were adjudicated by consensus. The standards presented in this report are intended to serve as a guide for high-quality reporting of statistical analyses methods and results.

Patient perceptions and use of non-statin lipid lowering therapy among patients with or at risk for atherosclerotic cardiovascular disease: Insights from the PALM registry

Background

Non‐statin lipid lowering therapies (LLTs) provide additional treatment options for patients. Use patterns and patient perceptions of non‐statin LLT remain incompletely described.

Hypothesis

The guideline‐recommended statin intensity remains underutilized in patients treated with and without non‐statin LLT.

Methods

The PALM Registry collected LLT information on patients with or at risk of ASCVD treated at 125 US clinics in 2015. We compared patient perceptions, lipid levels and statin use among patients treated with and without non‐statin LLT.

Results

Among 7720 patients, 1930 (25.0%) were treated with a non‐statin LLT (1249 fish oil, 417 fibrates, 329 ezetimibe, 196 niacin). Concurrent statin treatment occurred in 73.7%, of which 45.4% were dosed under the guideline‐recommended intensity. Compared with patients on statin alone, patients receiving both a statin and non‐statin LLT (n = 1423) were more likely to be male, white race and to perceive themselves as higher risk of ASCVD compared with their peers (38.5% vs. 34.9%, p = .047). Only 27.4% of patients treated with non‐statin LLT alone perceived themselves at higher risk. Most (75.7%) patients treated with a non‐statin LLT alone reported never being treated with a statin, despite ASCVD in 30.8% of these patients. Among those previously treated with a statin, 59.3% reported being willing to try a statin again.

Conclusions

Non‐statin LLT is used in one in four patients with or at risk for ASCVD; its use is frequently in place of statin therapy or in the absence of guideline‐recommended statin intensity. More work is needed to establish statins as first line therapy.

Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation

Background

Stroke is an important clinical outcome in cardiovascular research. However, the ascertainment of incident stroke is typically accomplished via time-consuming manual chart abstraction. Current phenotyping efforts using electronic health records for stroke focus on case ascertainment rather than incident disease, which requires knowledge of the temporal sequence of events.

Objective

The aim of this study was to develop a machine learning–based phenotyping algorithm for incident stroke ascertainment based on diagnosis codes, procedure codes, and clinical concepts extracted from clinical notes using natural language processing.

Methods

The algorithm was trained and validated using an existing epidemiology cohort consisting of 4914 patients with atrial fibrillation (AF) with manually curated incident stroke events. Various combinations of feature sets and machine learning classifiers were compared. Using a heuristic rule based on the composition of concepts and codes, we further detected the stroke subtype (ischemic stroke/transient ischemic attack or hemorrhagic stroke) of each identified stroke. The algorithm was further validated using a cohort (n=150) stratified sampled from a population in Olmsted County, Minnesota (N=74,314).

Results

Among the 4914 patients with AF, 740 had validated incident stroke events. The best-performing stroke phenotyping algorithm used clinical concepts, diagnosis codes, and procedure codes as features in a random forest classifier. Among patients with stroke codes in the general population sample, the best-performing model achieved a positive predictive value of 86% (43/50; 95% CI 0.74-0.93) and a negative predictive value of 96% (96/100). For subtype identification, we achieved an accuracy of 83% in the AF cohort and 80% in the general population sample.

Conclusions

We developed and validated a machine learning–based algorithm that performed well for identifying incident stroke and for determining type of stroke. The algorithm also performed well on a sample from a general population, further demonstrating its generalizability and potential for adoption by other institutions.

Accelerated aging: A marker for social factors resulting in cardiovascular events?

BACKGROUND

Medicine and public health are shifting away from a purely "personal responsibility" model of cardiovascular disease (CVD) prevention towards a societal view targeting social and environmental conditions and how these result in disease. Given the strong association between social conditions and CVD outcomes, we hypothesize that accelerated aging, measuring earlier health decline associated with chronological aging through a combination of biomarkers, may be a marker for the association between social conditions and CVD.

METHODS

We used data from the Coronary Artery Risk Development in Young Adults study (CARDIA). Accelerated aging was defined as the difference between biological and chronological age. Biological age was derived as a combination of 7 biomarkers (total cholesterol, HDL, glucose, BMI, CRP, FEV1/h2, MAP), representing the physiological effect of "wear and tear" usually associated with chronological aging. We studied accelerated aging measured in 2005-06 as a mediator of the association between social factors measured in 2000-01 and 1) any incident CVD event; 2) stroke; and 3) all-cause mortality occurring from 2007 through 18.

RESULTS

Among 2978 middle-aged participants, mean (SD) accelerated aging was 3.6 (11.6) years, i.e., the CARDIA cohort appeared to be, on average, 3 years older than its chronological age. Accelerated aging partially mediated the association between social factors and CVD (N=219), stroke (N=36), and mortality (N=59). Accelerated aging mediated 41% of the total effects of racial discrimination on stroke after adjustment for covariates. Accelerated aging also mediated other relationships but to lesser degrees.

CONCLUSION

We provide new evidence that accelerated aging based on easily measurable biomarkers may be a viable marker to partially explain how social factors can lead to cardiovascular outcomes and death.

Improved Incidence of Cardiovascular Disease in Patients With Incident Rheumatoid Arthritis in the 2000s: A Population-based Cohort Study

OBJECTIVE

To assess trends in incidence of cardiovascular disease (CVD) and mortality following incident CVD events in patients with rheumatoid arthritis (RA) onset in 1980-2009 vs non-RA subjects.

METHODS

We studied Olmsted County, Minnesota residents with incident RA (aged > 18 yrs, 1987 American College of Rheumatology criteria met in 1980-2009) and non-RA subjects from the same source population with similar age, sex, and calendar year of index. All subjects were followed until death, migration, or December 31, 2016. Incident CVD events included myocardial infarction and stroke. Patients with CVD before RA incidence/index date were excluded. Cox models were used to compare incident CVD events by decade, adjusting for age, sex, and CVD risk factors.

RESULTS

The study included 905 patients with RA and 904 non-RA subjects. Cumulative incidence of any CVD event was lower in patients with incident RA in the 2000s vs the 1980s. The HR for any incident CVD in the 2000s vs 1980s was 0.53 (95% CI 0.31-0.93). The strength of association attenuated after adjustment for anti-rheumatic medication use (HR 0.64, 95% CI 0.34-1.22). Patients with RA in the 2000s had no excess in CVD over non-RA subjects (HR 0.71, 95% CI 0.42-1.19). Risk of death after a CVD event was somewhat lower in patients with RA after the 1980s with an HR of 0.54 (95% CI 0.33-0.90) in the 1990s vs 1980s and 0.68 (95% CI 0.33-1.41) in the 2000s vs 1980s.

CONCLUSION

The incidence of major CVD events in RA has declined in recent decades. The gap in CVD occurrence between patients with RA and the general population is closing. Mortality after CVD events in RA may be improving.

Bi-directional association between depression and HF: An electronic health records-based cohort study

Objective:

To determine whether a bi-directional relationship exists between depression and HF within a single population of individuals receiving primary care services, using longitudinal electronic health records (EHRs).

Methods:

This retrospective cohort study utilized EHRs for adults who received primary care services within a large healthcare system in 2006. Validated EHR-based algorithms identified 10,649 people with depression (depression cohort) and 5,911 people with HF (HF cohort) between January 1, 2006 and December 31, 2018. Each person with depression or HF was matched 1:1 with an unaffected referent on age, sex, and outpatient service use. Each cohort (with their matched referents) was followed up electronically to identify newly diagnosed HF (in the depression cohort) and depression (in the HF cohort) that occurred after the index diagnosis of depression or HF, respectively. The risks of these outcomes were compared (vs. referents) using marginal Cox proportional hazard models adjusted for 16 comorbid chronic conditions.

Results:

2,024 occurrences of newly diagnosed HF were observed in the depression cohort and 944 occurrences of newly diagnosed depression were observed in the HF cohort over approximately 4–6 years of follow-up. People with depression had significantly increased risk for developing newly diagnosed HF (HR 2.08, 95% CI 1.89–2.28) and people with HF had a significantly increased risk of newly diagnosed depression (HR 1.34, 95% CI 1.17–1.54) after adjusting for all 16 comorbid chronic conditions.

Conclusion:

These results provide evidence of a bi-directional relationship between depression and HF independently of age, sex, and multimorbidity from chronic illnesses.

Patient-Reported Reasons for Declining or Discontinuing Statin Therapy: Insights From the PALM Registry

Background

Many adults eligible for statin therapy for cardiovascular disease prevention are untreated. Our objective was to investigate patient‐reported reasons for statin underutilization, including noninitiation, refusal, and discontinuation.

Methods and Results

This study included the 5693 adults recommended for statin therapy in the PALM (Patient and Provider Assessment of Lipid Management) registry. Patient surveys evaluated statin experience, reasons for declining or discontinuing statins, and beliefs about statins and cardiovascular disease risk. Overall, 1511 of 5693 adults (26.5%) were not on treatment. Of those not on a statin, 894 (59.2%) reported never being offered a statin, 153 (10.1%) declined a statin, and 464 (30.7%) had discontinued therapy. Women (relative risk: 1.22), black adults (relative risk: 1.48), and those without insurance (relative risk: 1.38) were most likely to report never being offered a statin. Fear of side effects and perceived side effects were the most common reasons cited for declining or discontinuing a statin. Compared with statin users, those who declined or discontinued statins were less likely to believe statins are safe (70.4% of current users vs. 36.9% of those who declined and 37.4% of those who discontinued) or effective (86.3%, 67.4%, and 69.1%, respectively). Willingness to take a statin was high; 67.7% of those never offered and 59.7% of patients who discontinued a statin would consider initiating or retrying a statin.

Conclusions

More than half of patients eligible for statin therapy but not on treatment reported never being offered one by their doctor. Concern about side effects was the leading reason for statin refusal or discontinuation. Many patients were willing to reconsider statin therapy if offered.

See Editorial by Braun

Next-Generation Sequencing of CYP2C19 in Stent Thrombosis: Implications for Clopidogrel Pharmacogenomics

PURPOSE

Describe CYP2C19 sequencing results in the largest series of clopidogrel-treated cases with stent thrombosis (ST), the closest clinical phenotype to clopidogrel resistance. Evaluate the impact of CYP2C19 genetic variation detected by next-generation sequencing (NGS) with comprehensive annotation and functional studies.

METHODS

Seventy ST cases on clopidogrel identified from the PLATO trial (n = 58) and Mayo Clinic biorepository (n = 12) were matched 1:1 with controls for age, race, sex, diabetes mellitus, presentation, and stent type. NGS was performed to cover the entire CYP2C19 gene. Assessment of exonic variants involved measuring in vitro protein expression levels. Intronic variants were evaluated for potential splicing motif variations.

RESULTS

Poor metabolizers (n = 4) and rare CYP2C19*8, CYP2C19*15, and CYP2C19*11 alleles were identified only in ST cases. CYP2C19*17 heterozygote carriers were observed more frequently in cases (n = 29) than controls (n = 18). Functional studies of CYP2C19 exonic variants (n = 11) revealed 3 cases and only 1 control carrying a deleterious variant as determined by in vitro protein expression studies. Greater intronic variation unique to ST cases (n = 169) compared with controls (n = 84) was observed with predictions revealing 13 allele candidates that may lead to a potential disruption of splicing and a loss-of-function effect of CYP2C19 in ST cases.

CONCLUSION

NGS detected CYP2C19 poor metabolizers and paradoxically greater number of so-called rapid metabolizers in ST cases. Rare deleterious exonic variation occurs in 4%, and potentially disruptive intronic alleles occur in 16% of ST cases. Additional studies are required to evaluate the role of these variants in platelet aggregation and clopidogrel metabolism.

Association Between Blood Pressure and Later-Life Cognition Among Black and White Individuals

Importance

Black individuals are more likely than white individuals to develop dementia. Whether higher blood pressure (BP) levels in black individuals explain differences between black and white individuals in dementia risk is uncertain.

Objective

To determine whether cumulative BP levels explain racial differences in cognitive decline.

Design, Setting, and Participants

Individual participant data from 5 cohorts (January 1971 to December 2017) were pooled from the Atherosclerosis Risk in Communities Study, Coronary Artery Risk Development in Young Adults Study, Cardiovascular Health Study, Framingham Offspring Study, and Northern Manhattan Study. Outcomes were standardized as t scores (mean [SD], 50 [10]); a 1-point difference represented a 0.1-SD difference in cognition. The median (interquartile range) follow-up was 12.4 (5.9-21.0) years. Analysis began September 2018.

Main Outcomes and Measures

The primary outcome was change in global cognition, and secondary outcomes were change in memory and executive function.

Exposures

Race (black vs white).

Results

Among 34 349 participants, 19 378 individuals who were free of stroke and dementia and had longitudinal BP, cognitive, and covariate data were included in the analysis. The mean (SD) age at first cognitive assessment was 59.8 (10.4) years and ranged from 5 to 95 years. Of 19 378 individuals, 10 724 (55.3%) were female and 15 526 (80.1%) were white. Compared with white individuals, black individuals had significantly faster declines in global cognition (-0.03 points per year faster [95% CI, -0.05 to -0.01]; P = .004) and memory (-0.08 points per year faster [95% CI, -0.11 to -0.06]; P < .001) but significantly slower declines in executive function (0.09 points per year slower [95% CI, 0.08-0.10]; P < .001). Time-dependent cumulative mean systolic BP level was associated with significantly faster declines in global cognition (-0.018 points per year faster per each 10-mm Hg increase [95% CI, -0.023 to -0.014]; P < .001), memory (-0.028 points per year faster per each 10-mm Hg increase [95% CI, -0.035 to -0.021]; P < .001), and executive function (-0.01 points per year faster per each 10-mm Hg increase [95% CI, -0.014 to -0.007]; P < .001). After adjusting for cumulative mean systolic BP, differences between black and white individuals in cognitive slopes were attenuated for global cognition (-0.01 points per year [95% CI, -0.03 to 0.01]; P = .56) and memory (-0.06 points per year [95% CI, -0.08 to -0.03]; P < .001) but not executive function (0.10 points per year [95% CI, 0.09-0.11]; P < .001).

Conclusions and Relevance

These results suggest that black individuals' higher cumulative BP levels may contribute to racial differences in later-life cognitive decline.

Outcomes of incident atrial fibrillation in heart failure with preserved or reduced ejection fraction: A community-based study

INTRODUCTION

The best management strategy for patients with atrial fibrillation (AF) with heart failure (HF) and preserved left ventricular ejection fraction (LVEF) is unknown.

METHODS AND RESULTS

This cohort study was conducted in Olmsted County, Minnesota, with resources of the Rochester Epidemiology Project. Patients with incident AF occurring between 2000 and 2014 with a prior or concurrent HF were included. Patients with LVEF ≥ 50% were designated as HF and preserved ejection fraction (HFpEF) and those with LVEF < 50% were designated as HF and reduced ejection fraction (HFrEF). Rhythm control in the first year after AF diagnosis was defined as prescriptions for an antiarrhythmic drug, catheter ablation, or maze procedure. The primary endpoint was all-cause mortality. The secondary endpoints were cardiovascular death, cardiovascular hospitalization, and stroke or transient ischemic attack. Of 859 patients (age, 77.2 ± 12.1 years; 49.2%, female), 447 had HFpEF-AF, and 412 had HFrEF-AF. There was no difference in all-cause mortality (10-year mortality, 83% vs 79%; p = .54) or secondary endpoints between the HFpEF-AF and HFrEF-AF, respectively. Compared with the rate control strategy, rhythm control in HFpEF-AF patients (n = 40, 15.9%) offered no survival benefits (adjusted HR, 0.70; 95% CI, 0.42-1.16; p = .16), whereas rhythm control in HFrEF-AF patients (n = 52, 22.5%) decrease cardiovascular mortality (HR, 0.38; 95% CI, 0.17-0.86; p = .02).

CONCLUSIONS

Patients with HFpEF-AF and HFrEF-AF had similar poor prognoses. Rhythm control strategy was seldom adopted in community care in patients with HF and AF. A rhythm control strategy may provide survival benefit for patients with HFrEF-AF and the benefit of rhythm control in patients with HFpEF-AF warrants further study.

Artificial Intelligence in Cardiology: Present and Future

Artificial intelligence (AI) is a nontechnical, popular term that refers to machine learning of various types but most often to deep neural networks. Cardiology is at the forefront of AI in medicine. For this review, we searched PubMed and MEDLINE databases with no date restriction using search terms related to AI and cardiology. Articles were selected for inclusion on the basis of relevance. We highlight the major achievements in recent years in nearly all areas of cardiology and underscore the mounting evidence suggesting how AI will take center stage in the field. Artificial intelligence requires a close collaboration among computer scientists, clinical investigators, clinicians, and other users in order to identify the most relevant problems to be solved. Best practices in the generation and implementation of AI include the selection of ideal data sources, taking into account common challenges during the interpretation, validation, and generalizability of findings, and addressing safety and ethical concerns before final implementation. The future of AI in cardiology and in medicine in general is bright as the collaboration between investigators and clinicians continues to excel.

Participation Bias in a Survey of Community Patients With Heart Failure

OBJECTIVE

To identify differences between participants and nonparticipants in a survey of physical and psychosocial aspects of health among a population-based sample of patients with heart failure (HF).

PATIENTS AND METHODS

Residents from 11 Minnesota counties with a first-ever code for HF (International Classification of Diseases, Ninth Revision 428 and Tenth Revision I50) between January 1, 2013, and December 31, 2016, were identified. Participants completed a questionnaire by mail or telephone. Characteristics and outcomes were extracted from medical records and compared between participants and nonparticipants. Response rate was calculated using guidelines of the American Association for Public Opinion Research. The association between nonparticipation and outcomes was examined using Cox proportional hazards regression for death and Andersen-Gill modeling for hospitalizations.

RESULTS

Among 7911 patients, 3438 responded to the survey (American Association for Public Opinion Research response rate calculated using formula 2 = 43%). Clinical and demographic differences between participants and nonparticipants were noted, particularly for education, marital status, and neuropsychiatric conditions. After a mean ± SD of 1.5±1.0 years after survey administration, 1575 deaths and 5857 hospitalizations occurred. Nonparticipation was associated with a 2-fold increased risk for death (hazard ratio, 2.29; 95% CI, 2.05-2.56) and 11% increased risk for hospitalization (hazard ratio, 1.11; 95% CI, 1.02-1.22) after adjusting for age, sex, time from HF diagnosis to index date, marital status, coronary disease, arrhythmia, hyperlipidemia, diabetes, cancer, chronic kidney disease, arthritis, osteoporosis, depression, and anxiety.

CONCLUSION

In a large survey of patients with HF, participation was associated with notable differences in clinical and demographic characteristics and outcomes. Examining the impact of participation is critical to draw inference from studies of patient-reported measures.

Measurement of Low-Density Lipoprotein Cholesterol Levels in Primary and Secondary Prevention Patients: Insights From the PALM Registry

Background

The 2013 American College of Cardiology/American Heart Association Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults recommended testing low‐density lipoprotein cholesterol (LDL‐C) to identify untreated patients with LDL‐C ≥190 mg/dL, assess lipid‐lowering therapy adherence, and consider nonstatin therapy. We sought to determine whether clinician lipid testing practices were consistent with these guidelines.

Methods and Results

The PALM (Patient and Provider Assessment of Lipid Management) registry enrolled primary and secondary prevention patients from 140 US cardiology, endocrinology, and primary care offices in 2015 and captured demographic data, lipid treatment history, and the highest LDL‐C level in the past 2 years. Core laboratory lipid levels were drawn at enrollment. Among 7627 patients, 2787 (36.5%) had no LDL‐C levels measured in the 2 years before enrollment. Patients without chart‐documented LDL‐C levels were more often women, nonwhite, uninsured, and non–college graduates (all P<0.01). Patients without prior lipid testing were less likely to receive statin treatment (72.6% versus 76.0%; P=0.0034), a high‐intensity statin (21.5% versus 24.3%; P=0.016), nonstatin lipid‐lowering therapy (24.8% versus 27.3%; P=0.037), and had higher core laboratory LDL‐C levels at enrollment (median 97 versus 92 mg/dL; P<0.0001) than patients with prior LDL‐C testing. Of 166 individuals with core laboratory LDL‐C levels ≥190 mg/dL, 36.1% had no LDL‐C measurement in the prior 2 years, and 57.2% were not on a statin at the time of enrollment.

Conclusions

In routine clinical practice, LDL‐C testing is associated with higher‐intensity lipid‐lowering treatment and lower achieved LDL‐C levels.

Association of Patient Perceptions of Cardiovascular Risk and Beliefs on Statin Drugs With Racial Differences in Statin Use: Insights From the Patient and Provider Assessment of Lipid Management Registry

Importance

African American individuals face higher atherosclerotic cardiovascular disease risk than white individuals; reasons for these differences, including potential differences in patient beliefs regarding preventive care, remain unknown.

Objective

To evaluate differences in statin use between white and African American patients and identify the potential causes for any observed differences.

Design, Setting, and Participants

Using the 2015 Patient and Provider Assessment of Lipid Management (PALM) Registry data, we compared statin use and dosing between African American and white outpatient adults who were potentially eligible for primary or secondary prevention statins. A total of 138 US community health care practices contributed to the data. Data analysis was conducted from March 2017 to May 2018.

Main Outcomes and Measures

Primary outcomes were use and dosing of statin therapy according to the 2013 American College of Cardiology/American Heart Association guideline by African American or white race. Secondary outcomes included lipid levels and patient-reported beliefs. Poisson regression was used to evaluate the association between race and statin undertreatment, a category combining people who were not taking a statin or those taking a dose intensity lower than recommended.

Results

A total of 5689 patients (806 [14.2%] African American) in the PALM registry were eligible for statin therapy. African American individuals were less likely than white individuals to be treated with a statin (570/807 [70.6%] vs 3654/4883 [74.8%]; P = .02). Among those treated, African American patients were less likely than white patients to receive a statin at guideline-recommended intensity (269 [33.3%] vs 2145 [43.9%], respectively; P < .001; relative risk, 1.07 [95% CI, 1.00-1.15]; P = .05, after adjustment for demographic and clinical factors). The median (interquartile range) low-density lipoprotein cholesterol levels of patients receiving treatment were higher among African American than white individuals (97.0 [76.0-121.0] mg/dL vs 85.0 [68.0-105.0] mg/dL; P < .001). African American individuals were less likely than white individuals to believe statins were safe (292 [36.2%] vs 2800 [57.3%]; P < .001) or effective (564 [70.0%] vs 3635 [74.4%]; P = .008) and were less likely to trust their clinician (663 [82.3%] vs 4579 [93.8%]; P < .001). Group differences in statin undertreatment were not significant after adjusting for demographic, clinical, and clinician factors, socioeconomic status, and patient beliefs (final adjusted relative risk, 1.03 [95% CI 0.96-1.11]; P = .35).

Conclusions and Relevance

African American individuals were less likely to receive guideline-recommended statin therapy. Demographic, clinical, socioeconomic, belief-related, and clinician differences contributed to observed differences and represent potential targets for intervention.

Influence of Cardiovascular Risk Communication Tools and Presentation Formats on Patient Perceptions and Preferences

Importance

Practice guidelines recommend that clinicians engage patients in treatment decisions and explain atherosclerotic cardiovascular disease (ASCVD) risk but do not describe how to communicate this risk most effectively.

Objective

To determine how the ASCVD risk time horizon, outcome, and presentation format influence risk perceptions and treatment preferences.

Design, Setting, and Participants

From May 27, 2015, through November 12, 2015, participants from the Patient and Provider Assessment of Lipid Management Registry at 140 US cardiology, primary care, and endocrinology practices were presented 3 independent scenarios (representing the same hypothetical patient) and asked to rate their perceived risk and willingness to take medication to lower risk in light of (1) a 15% 10-year ASCVD event risk, (2) a 4% 10-year cardiovascular disease (CVD) death risk, and (3) a 50% lifetime ASCVD event risk.

Exposures

Participants were randomized to receive risk estimates using numbers only, a bar graph, or a face pictogram.

Results

Of 3566 eligible participants, 2708 (76.9%) responded (median age, 67 years [interquartile range, 61-76 years]; 280 [10.3%] African American; 1491 men [55.1%]). When shown the lifetime ASCVD risk, respondents were more likely to consider the risk "high to very high" than when presented the 10-year ASCVD risk or the CVD death risk (70.1% vs 31.4% vs 25.7%, respectively; both P < .001). Treatment willingness was also the highest for lifetime ASCVD risk (77.9% very willing) followed by 10-year ASCVD risk (68.1%) and 10-year CVD death risk (63.1%; both P < .001). Compared with participants who were shown a bar graph or no graphic, those who were shown the risk information with a pictogram had the lowest perception of disease severity and the lowest willingness to consider therapy. These findings were robust across demographic and socioeconomic subgroups.

Conclusions and Relevance

The format, time horizon, and outcome used for risk estimation influence patient perceptions and should be considered when designing risk communication tools. When shown lifetime risk estimates, patients had higher risk perception and willingness for therapy than when shown 10-year estimates. Pictogram risk displays may decrease risk perception and consideration for treatment.

Intensity of Lipid Lowering With Statin Therapy in Patients With Cerebrovascular Disease Versus Coronary Artery Disease: Insights from the PALM Registry

Background Current treatment guidelines strongly recommend statin therapy for secondary prevention. However, it remains unclear whether patients' perceptions of cardiovascular risk, beliefs on cholesterol, or the intensity of prescribed statin therapy differs for patients with coronary artery disease (CAD) versus cerebrovascular disease (CeVD) versus both CAD and CeVD (CAD&CeVD). Methods and Results The PALM (Patient and Provider Assessment of Lipid Management) registry collected data on statin use, intensity, and core laboratory low-density lipoprotein cholesterol levels for 3232 secondary prevention patients treated at 133 US clinics. Among individuals with CeVD only (n=403), CAD only (n=2202), and CeVD&CAD (n=627), no significant differences were observed in patient-perceived cardiovascular disease risk, beliefs on cholesterol lowering, or perceived effectiveness and safety of statin therapy. However, patients with CeVD only were less likely to receive any statin therapy (76.2% versus 86.2%; adjusted odds ratio 0.64, 95% CI 0.45-0.91), or guideline-recommended statin intensity (34.6% versus 50.4%; adjusted odds ratio 0.60, 95% CI 0.45-0.81) than those with CAD only. Individuals with CeVD only were also less likely to achieve low-density lipoprotein cholesterol <100 mg/dL (59.2% versus 69.7%; adjusted odds ratio 0.79, 95% CI 0.64-0.99) than individuals with CAD alone. There were no significant differences in the use of any statin therapy or guideline-recommended statin intensity between individuals with CAD&CeVD and those with CAD only. Conclusions Despite lack of significant differences in patient-perceived cardiovascular risk or statin beliefs, patients with CeVD were significantly less likely to receive higher intensity statin or achieve low-density lipoprotein cholesterol <100 mg/dL than those with CAD only.

Sex Differences in the Use of Statins in Community Practice

BACKGROUND

Female patients have historically received less aggressive lipid management than male patients. Contemporary care patterns and the potential causes for these differences are unknown.

METHODS AND RESULTS

Examining the Patient and Provider Assessment of Lipid Management Registry-a nationwide registry of outpatients with or at risk for atherosclerotic cardiovascular disease-we compared the use of statin therapy, guideline-recommended statin dosing, and reasons for undertreatment. We specifically analyzed sex differences in statin treatment and guideline-recommended statin dosing using multivariable logistic regression. Among 5693 participants (43% women) eligible for 2013 American College of Cardiology/American Heart Association Cholesterol Guideline-recommended statin treatment, women were less likely than men to be prescribed any statin therapy (67.0% versus 78.4%; P<0.001) or to receive a statin at the guideline-recommended intensity (36.7% versus 45.2%; P<0.001). Women were more likely to report having previously never been offered statin therapy (18.6% versus 13.5%; P<0.001), declined statin therapy (3.6% versus 2.0%; P<0.001), or discontinued their statin (10.9% versus 6.1%; P<0.001). Women were also less likely than men to believe statins were safe (47.9% versus 55.2%; P<0.001) or effective (68.0% versus 73.2%; P<0.001) and more likely to report discontinuing their statin because of a side effect (7.9% versus 3.6%; P<0.001). Sex differences in both overall and guideline-recommended intensity statin use persisted after adjustment for demographics, socioeconomic factors, clinical characteristics, patient beliefs, and provider characteristics (adjusted odds ratio, 0.70; 95% CI, 0.61-0.81; P<0.001; and odds ratio, 0.82; 95% CI, 0.73-0.92; P<0.01, respectively). Sex differences were consistent across primary and secondary prevention indications for statin treatment.

CONCLUSIONS

Women eligible for statin therapy were less likely than men to be treated with any statin or guideline-recommended statin intensity. A combination of women being offered statin therapy less frequently, while declining and discontinuing treatment more frequently, accounted for these sex differences in statin use.

Increased hospitalization rates following heart failure diagnosis in rheumatoid arthritis as compared to the general population

OBJECTIVE

To compare the frequency of and trends in hospitalizations after heart failure (HF) diagnosis in patients with and without rheumatoid arthritis (RA) during 1987-2015.

METHODS

The study included a retrospectively identified population-based cohort of patients with incident HF and prior RA (age≥18 years, 1987 ACR criteria) and a cohort of incident HF patients without RA matched 3:1 on age, sex, and year of HF diagnosis. Hospitalizations at the time of HF diagnosis were excluded. All subjects were followed until death, migration, or 12/31/2015.

RESULTS

The study included 212 patients with RA (mean age at HF diagnosis 78.3 years; 68% female) and 636 non-RA patients (mean age at HF diagnosis 78.6 years; 68% female). The hospitalization rate after HF diagnosis was higher in RA vs non-RA (rate ratio [RR] 1.17; 95%CI 1.08-1.26). Hospitalization rates in both groups have been declining since 2005 and the difference between patients with and without RA may be decreasing after 2010. The magnitude of the increase was similar in both sexes and across all ages. Patients with RA were more likely to be hospitalized for non-cardiovascular causes (RR 1.26; 95%CI 1.14-1.39), but not for HF or other cardiovascular causes compared to non-RA patients.

CONCLUSIONS

The hospitalization rate following HF diagnosis was higher in RA versus non-RA patients regardless of sex and age. Increased hospitalization risk in patients with RA was driven by increased rates of non-cardiovascular hospitalization.

Practice-level variation in statin use and low-density lipoprotein cholesterol control in the United States: Results from the Patient and Provider Assessment of Lipid Management (PALM) registry

BACKGROUND

Adherence to guideline-recommended statin recommendations in the United States is suboptimal. Patients' likelihood to be treated according to guidelines may vary by the practice in which they are treated.

METHODS

Variation in the use of statin therapy in 5445 patients, with known or at high risk for atherosclerotic cardiovascular disease (ASCVD) and meeting a statin treatment indication, was examined across 74 US Patient and Provider Assessment of Lipid Management (PALM) Registry clinics. Multivariable generalized linear mixed modeling was used to determine the median odds ratio (MOR) for statin use and 2013 American College of Cardiology/American Heart Association guideline-recommended statin intensity by practice. MOR quantifies between-practice variation by comparing the odds of receiving guideline-recommended statin treatment in a patient from a randomly selected practice with a similar patient from another random practice. Risk-adjusted low-density lipoprotein cholesterol (LDL-C) control (<100 and <70 mg/dL) was compared among practice tertiles based on percentage of eligible patients receiving recommended statin intensity.

RESULTS

Among 74 practices (43.2% cardiology) comprised of 300 healthcare providers enrolling 5445 patients (56.2% with ASCVD), statin use at the guideline-recommended intensity at practices varied widely (12.7-71.4%; adjusted MOR 1.45, 95% confidence interval [CI] 1.35-1.64). Results were consistent when evaluated for any statin use overall (adjusted MOR 1.75, 95% CI 1.48-1.99) and when stratified by primary versus secondary prevention patients. Relative to practices with lowest or mid-tertile statin use of statins, highest tertile clinics were more frequently cardiology practices (68.0% vs 48.0% vs 12.5%, P < .001). Compared with lowest tertile clinics, patients at highest tertile clinics were more likely to achieve LDL-C <70 mg/dL (adjusted odds ratio [OR] 1.49, 95% CI 1.08-2.04) and <100 mg/dL (adjusted OR 1.78, 95% CI 1.41-2.25).

CONCLUSIONS

US clinics varied widely in their adherence to guideline recommendations for statin therapy, which contributed to significant differences in LDL-C levels.

Abstract 148: Differences Between Participants and Nonparticipants in a Survey of Community Patients with Heart Failure

Background: Patient reported measures are fundamental to patient centered research and are often collected by questionnaires. Low participation can compromise the validity of the results; transparent reporting and comparing characteristics of participants to nonparticipants is important to assess the generalizability of survey results. We analyzed participation in a survey of social determinants of health among a population-based sample of patients with heart failure (HF).

Methods: A total of 7920 residents from 11 Minnesota counties were identified with a first-ever code for HF (ICD-9 428 and ICD-10 I50) between 1/1/2013 and 12/31/2016. Participants completed a battery of 12 questionnaires by mail or telephone. Characteristics and outcomes data were extracted from medical records and compared between participants and nonparticipants. Response rate (RR) was calculated using guidelines of the American Association for Public Opinion Research (AAPOR). The association between nonparticipation and outcomes was examined by Cox proportional hazards regression for death and Andersen-Gill modeling for hospitalizations.

Results: Among 7920 patients, 3438 responded to the survey (AAPOR RR#2= 43%). Numerous clinical and demographic differences between participants and non-participants were noted (Table), particularly for education, marital status, and neuropsychiatric conditions. After a mean (±SD) of 1.5±1 years after survey administration, 1,577 deaths and 5,873 hospitalizations had occurred. Nonparticipation was associated with a two-fold increased risk of death (HR: 2.30; 95% CI: 2.06-2.57; p<0.001) and a 10% increased risk of hospitalizations (HR: 1.10; 95% CI: 1.01-1.21; p=0.03) after adjusting for age, sex, marital status, coronary disease, arrhythmia, hyperlipidemia, cancer, chronic kidney disease, depression and anxiety.

Conclusions: In a large survey of patients with HF, participation was associated with large differences in clinical and demographic characteristics and outcomes. Examining the impact of participation is critical to draw inference from studies of patient reported measures.

Cardiovascular morbidity and mortality after aortic dissection, intramural hematoma, and penetrating aortic ulcer

OBJECTIVE

The nonaortic cardiovascular morbidity and mortality of patients with aortic dissection (AD), intramural hematoma (IMH), and penetrating aortic ulcer (PAU) is unknown. We aimed to define the rates of cardiovascular (CV) events in a cohort of patients with newly diagnosed AD, IMH, and PAU.

METHODS

We performed a retrospective review of all Olmsted County, Minnesota, residents diagnosed with AD, IMH, and PAU from 1995 to 2015. The primary outcome was nonaortic CV death. The secondary outcome was a first-time nonfatal CV event (myocardial infarction, heart failure [HF], or stroke). The outcomes were compared with age- and sex-matched population referents using Cox proportional hazards regression, with adjustment for comorbidities.

RESULTS

A total of 133 patients (77 with AD, 21 with IMH, 35 with PAU; 57% male) with a mean age of 71.8 ± 14.1 years were identified. The median follow-up was 10 years. Compared with the population referents, the patients with AD/IMH/PAU had an increased risk of CV death (adjusted hazard ratio [HR], 2.4; 95% confidence interval [CI], 1.4-4.2; P = .003) and an increased risk of any first-time nonfatal CV event (adjusted HR, 3.0; 95% CI, 1.9-4.8; P < .001), mainly resulting from an increased risk of first-time HF (adjusted HR, 2.7; 95% CI, 1.7-4.3; P < .001). When excluding events within 14 days of the diagnosis, the patients with AD/IMH/PAU remained at increased risk of CV death (adjusted HR, 2.6; 95% CI, 1.4-4.7; P = .002), any first-time nonfatal CV event (adjusted HR, 2.6; 95% CI, 1.5-4.4, P <.001), and first-time HF (adjusted HR 2.5, 95% CI 1.5-4.3; P < .001).

CONCLUSIONS

Compared with the population referents, the patients with AD/IMH/PAU had a two- to threefold risk of nonaortic CV death, any first-time nonfatal CV event, and first-time HF. These data implicate the need for long-term cardiovascular management for patients with AD/IMH/PAU.

Diagnostic diversity - an indicator of institutional and regional healthcare quality

AIM

Our aim was to estimate the diagnostic performance of institutions and healthcare regions from a nationwide hospitalisation database.

METHODS

The Shannon diversity index was used as an indicator of diagnostic performance based on the International Classification of Disease, 10th revision, German Modification (ICD-10-GM codes). The dataset included a total of 9,325,326 hospitalisation cases from 2009 to 2015 and was provided by the Swiss Federal Office for Statistics. A total of 16,435 diagnostic items from the ICD-10-GM codes were taken as the basis for the calculation of the diagnostic diversity index (DDI). Numerical simulations were performed to evaluate the effect of misdiagnoses in the DDI. We arbitrarily defined the minimum clinically important difference (MCID) as 10% misdiagnoses. The R statistical software was used for all analyses.

RESULTS

Diagnostic performance of institutions and healthcare regions as measured by the DDI were strongly associated with caseload and number of inhabitants, respectively. A caseload of &gt;7217 hospitalisations per year for institutions and a population size &gt;363,522 for healthcare regions were indicators of an acceptable diagnostic performance. Among hospitals, there was notable heterogeneity of diagnostic diversity, which was strongly associated with caseload. Application of misdiagnosis-thresholds within each ICD-10-GM category allowed classification of hospitals in four distinct groups: high-volume hospitals with an all-over comprehensive diagnostic performance; high- to mid-volume hospitals with extensive to relevant basic diagnostic performance in most categories; low-volume specialised hospitals with a high diagnostic performance in a single category; and low-volume hospitals with inadequate diagnostic performance in all categories. The diagnostic diversity observed in the 26 Swiss healthcare regions showed relevant heterogeneity, an association with ICD-10-GM code utilisation, and was strongly associated with the size of the healthcare region. The limited diagnostic performance in small healthcare regions was partially, but not fully, compensated for by consumption of health services outside of their own healthcare region.

CONCLUSION

Calculation of the DDI from ICD-10 codes is easy and complements the information derived from other quality indicators as it sheds a light on the fitness of the institutionalised interplay between primary and specialised medical inpatient care. &nbsp.

Stress and Achievement of Cardiovascular Health Metrics: The American Heart Association Life's Simple 7 in Blacks of the Jackson Heart Study

Background

Ideal cardiovascular health metrics (defined by the American Heart Association Life's Simple 7 [LS7]) are suboptimal among blacks, which results in high risk of cardiovascular disease. We examined the association of multiple stressors with LS7 components among blacks.

Methods and Results

Using a community‐based cohort of blacks (N=4383), we examined associations of chronic stress, minor stressors, major life events, and a cumulative stress score with LS7 components (smoking, diet, physical activity, body mass index, blood pressure, total cholesterol, and fasting plasma glucose) and an LS7 composite score. Multivariable logistic regression assessed the odds of achieving intermediate/ideal levels of cardiovascular health adjusted for demographic, socioeconomic, behavioral, and biomedical factors. The LS7 components with the lowest percentages of intermediate/ideal cardiovascular health levels were diet (39%), body mass index (47%), and physical activity (51%). Higher chronic, minor, and cumulative stress scores were associated with decreased odds (odds ratio [OR]) of achieving intermediate/ideal levels for smoking (OR [95% confidence interval], 0.80 [0.73–0.88], 0.84 [0.75–0.94], and 0.81 [0.74–0.90], respectively). Participants with more major life events had decreased odds of achieving intermediate/ideal levels for smoking (OR, 0.84; 95% confidence interval, 0.76–0.92) and fasting plasma glucose (OR, 0.90; 95% confidence interval, 0.82–0.98). Those with higher scores for minor stressors and major life events were less likely to achieve intermediate or ideal LS7 composite scores (OR [95% confidence interval], 0.89 [0.81–0.97] and 0.91 [0.84–0.98], respectively).

Conclusions

Blacks with higher levels of multiple stress measures are less likely to achieve intermediate or ideal levels of overall cardiovascular health (LS7 composite score), specific behaviors (smoking), and biological factors (fasting plasma glucose).

Statin Use and Adverse Effects Among Adults >75 Years of Age: Insights From the Patient and Provider Assessment of Lipid Management (PALM) Registry

Background

Current statin use and symptoms among older adults in routine community practice have not been well characterized since the release of the 2013 American College of Cardiology/American Heart Association guideline.

Methods and Results

We compared statin use and dosing between adults >75 and ≤75 years old who were eligible for primary or secondary prevention statin use without considering guideline‐recommended age criteria. The patients were treated at 138 US practices in the Patient and Provider Assessment of Lipid Management (PALM) registry in 2015. Patient surveys also evaluated reported symptoms while taking statins. Multivariable logistic regression models examined the association between older age and statin use and dosing. Among 6717 people enrolled, 1704 (25%) were >75 years old. For primary prevention, use of any statin or high‐dose statin did not vary by age group: any statin, 62.6% in those >75 years old versus 63.1% in those ≤75 years old (P=0.83); high‐dose statin, 10.2% versus 12.3% in the same groups (P=0.14). For secondary prevention, older patients were slightly less likely to receive any statin (80.1% versus 84.2% [P=0.003]; adjusted odds ratio, 0.81; 95% confidence interval, 0.66–1.01 [P=0.06]), but were much less likely to receive a high‐intensity statin (23.5% versus 36.2% [P<0.0001]; adjusted odds ratio, 0.54; 95% confidence interval, 0.45–0.65 [P=0.0001]). Among current statin users, older patients were slightly less likely to report any symptoms (41.3% versus 46.6%; P=0.003) or myalgias (27.3% versus 33.3%; P<0.001).

Conclusions

Overall use of statins was similar for primary prevention in those aged >75 years versus younger patients, yet older patients were less likely to receive high‐intensity statins for secondary prevention. Statins appear to be similarly tolerated in older and younger adults.

Projected Costs of Informal Caregiving for Cardiovascular Disease: 2015 to 2035: A Policy Statement From the American Heart Association

Introduction:

In a recent report, the American Heart Association estimated that medical costs and productivity losses of cardiovascular disease (CVD) are expected to grow from $555 billion in 2015 to $1.1 trillion in 2035. Although the burden is significant, the estimate does not include the costs of family, informal, or unpaid caregiving provided to patients with CVD. In this analysis, we estimated projections of costs of informal caregiving attributable to CVD for 2015 to 2035.

Methods:

We used data from the 2014 Health and Retirement Survey to estimate hours of informal caregiving for individuals with CVD by age/sex/race using a zero-inflated binomial model and controlling for sociodemographic factors and health conditions. Costs of informal caregiving were estimated separately for hypertension, coronary heart disease, heart failure, stroke, and other heart disease. We analyzed data from a nationally representative sample of 16 731 noninstitutionalized adults ≥54 years of age. The value of caregiving hours was monetized by the use of home health aide workers’ wages. The per-person costs were multiplied by census population counts to estimate nation-level costs and to be consistent with other American Heart Association analyses of burden of CVD, and the costs were projected from 2015 through 2035, assuming that within each age/sex/racial group, CVD prevalence and caregiving hours remain constant.

Results:

The costs of informal caregiving for patients with CVD were estimated to be $61 billion in 2015 and are projected to increase to $128 billion in 2035. Costs of informal caregiving of patients with stroke constitute more than half of the total costs of CVD informal caregiving ($31 billion in 2015 and $66 billion in 2035). By age, costs are the highest among those 65 to 79 years of age in 2015 but are expected to be surpassed by costs among those ≥80 years of age by 2035. Costs of informal caregiving for patients with CVD represent an additional 11% of medical and productivity costs attributable to CVD.

Conclusions:

The burden of informal caregiving for patients with CVD is significant; accounting for these costs increases total CVD costs to $616 billion in 2015 and $1.2 trillion in 2035. These estimates have important research and policy implications, and they may be used to guide policy development to reduce the burden of CVD on patients and their caregivers.