Effect of Intensive Blood Pressure Control on Troponin and Natriuretic Peptide Levels: Findings From SPRINT.

BACKGROUND: Given the important role of cardiac injury and neurohormonal activation in the pathways leading from hypertension to heart failure and strong associations observed between hypertension and its sequelae on hs-cTnT (high-sensitivity cardiac troponin T) and NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels, we hypothesized that intensive systolic blood pressure (SBP) lowering would decrease levels of hs-cTnT and NT-proBNP. METHODS: hs-cTnT and NT-proBNP were measured at baseline and 1 year from stored specimens in SPRINT (Systolic Blood Pressure Intervention Trial). Changes in biomarkers were evaluated continuously on the log scale and according to categories (≥50% increase, ≥50% decrease, or <50% change). The effect of intensive SBP lowering on continuous and categorical changes in biomarker levels were assessed using linear and multinomial logistic regression models, respectively. The association between changes in biomarkers on heart failure and death was assessed using multivariable-adjusted Cox proportional hazards models. RESULTS: Randomization to intensive SBP lowering (versus standard SBP management) resulted in a 3% increase in hs-cTnT levels over 1-year follow-up (geometric mean ratio, 1.03 [95% CI, 1.01-1.04]) and a higher proportion of participants with ≥50% increase (odds ratio, 1.47 [95% CI, 1.13, 1.90]). In contrast, randomization to intensive SBP lowering led to a 10% decrease in NT-proBNP (geometric mean ratio, 0.90 [95% CI, 0.87-0.93]) and a lower probability of ≥50% increase in NT-proBNP (odds ratio, 0.57 [95% CI, 0.46-0.72]). The association of randomized treatment assignment on change in hs-cTnT was completely attenuated after accounting for changes in estimated glomerular filtration rate over follow-up, whereas the association of treatment with NT-proBNP was completely attenuated after adjusting for change in SBP. Increases in hs-cTnT and NT-proBNP from baseline to 1 year were associated with higher risk for heart failure and death, with no significant interactions by treatment assignment. CONCLUSIONS: Intensive SBP lowering increased hs-cTnT, mediated by the effect of SBP lowering on reduced kidney filtration. In contrast, intensive SBP lowering decreased NT-proBNP, a finding that was explained by the decrease in SBP. These findings highlight the importance of noncardiac factors influencing variation in cardiac biomarkers and raise questions about the potential role of hs-cTnT as a surrogate marker for heart failure or death in SBP-lowering studies.

High-Sensitivity Cardiac Troponins I and T and Cardiovascular Outcomes: Findings from the Systolic Blood Pressure Intervention Trial (SPRINT).

BACKGROUND: Cardiac troponins are associated with adverse cardiovascular disease (CVD) outcomes. The value of high-sensitivity cardiac troponin I (hs-cTnI) independently and in concert with troponin T (hs-cTnT) in the management of hypertension has not been well studied. METHODS: We assessed the utility of hs-cTnI independently and with hs-cTnT in identifying the highest risk individuals in the Systolic Blood Pressure Intervention Trial (SPRINT). Among 8796 eligible SPRINT participants, hs-cTnI was measured at baseline and 1 year. The association of baseline level and 1-year change in hs-cTnI with CVD events and all-cause death was evaluated using adjusted Cox regression models. We further assessed the complementary value of hs-cTnI and hs-cTnT by identifying concordant and discordant categories and assessing their association with outcomes. RESULTS: hs-cTnI was positively associated with composite CVD risk [myocardial infarction, other acute coronary syndrome, stroke, or cardiovascular death: hazard ratio 1.23, 95% confidence interval 1.08-1.39 per 1-unit increase in log(troponin I)] independent of traditional risk factors, N-terminal pro-B-type natriuretic peptide, and hs-cTnT. Intensive blood pressure lowering was associated with greater absolute risk reduction (4.5% vs 1.7%) and lower number needed to treat (23 vs 59) for CVD events among those with higher baseline hs-cTnI (≥6 ng/L in men, ≥4 ng/L in women). hs-cTnI increase at 1 year was also associated with increased CVD risk. hs-cTnI and hs-cTnT were complementary, and elevations in both identified individuals with the highest risk for CVD and death. CONCLUSIONS: Baseline levels and change in hs-cTnI over 1 year identified higher-risk individuals who may derive greater cardiovascular benefit with intensive blood pressure treatment. hs-TnI and hs-TnT have complementary value in CVD risk assessment. ClinicalTrials.gov Registration Number: NCT01206062.

Machine learning in the prevention of heart failure.

Heart failure (HF) is a global pandemic with a growing prevalence and is a growing burden on the healthcare system. Machine learning (ML) has the potential to revolutionize medicine and can be applied in many different forms to aid in the prevention of symptomatic HF (stage C). HF prevention currently has several challenges, specifically in the detection of pre-HF (stage B). HF events are missed in contemporary models, limited therapeutic options are proven to prevent HF, and the prevention of HF with preserved ejection is particularly lacking. ML has the potential to overcome these challenges through existing and future models. ML has limitations, but the many benefits of ML outweigh these limitations and risks in most scenarios. ML can be applied in HF prevention through various strategies such as refinement of incident HF risk prediction models, capturing diagnostic signs from available tests such as electrocardiograms, chest x-rays, or echocardiograms to identify structural/functional cardiac abnormalities suggestive of pre-HF (stage B HF), and interpretation of biomarkers and epigenetic data. Altogether, ML is able to expand the screening of individuals at risk for HF (stage A HF), identify populations with pre-HF (stage B HF), predict the risk of incident stage C HF events, and offer the ability to intervene early to prevent progression to or decline in stage C HF. In this narrative review, we discuss the methods by which ML is utilized in HF prevention, the benefits and pitfalls of ML in HF risk prediction, and the future directions.

When Does Primary Prevention Encroach on Secondary Prevention?

PURPOSE OF REVIEW: The risk of incident atherosclerotic cardiovascular disease (ASCVD) in primary prevention is typically lower than in secondary prevention. However, there is a spectrum of risk among individuals undergoing primary prevention with the risk in some individuals approaching those of secondary prevention. We review the clinical conditions wherein the risk in primary prevention is similar to that observed in secondary prevention. RECENT FINDINGS: Among individuals without established ASCVD, coronary artery calcium (CAC) scores ≥ 300 AU are associated with ASCVD event rates similar to secondary prevention populations. CAC score ≥ 1,000 AU are associated with an ASCVD risk seen in very high-risk secondary prevention populations. Interpretation of these observations must however consider differences in the risk reduction strategies. Current guidelines dichotomize ASCVD prevention into primary and secondary prevention, but certain primary prevention patients have an ASCVD risk equivalent to that of secondary prevention populations. Identifying higher risk primary prevention populations will allow for better risk mitigation strategies.

Predictors of incident stroke among individuals without coronary artery calcification: A pooled cohort analysis from the Multi-Ethnic Study of Atherosclerosis, Jackson Heart Study, and Framingham Heart Study.

INTRODUCTION: The absence of coronary artery calcium (CAC = 0) is associated with low risk of stroke events; however, predictors of incident stroke among those with CAC = 0 are not known. METHODS: Individual participant-level data were pooled from three prospective cohorts (Multi-Ethnic Study of Atherosclerosis, Jackson Heart Study, and Framingham Heart Study). Multivariable-adjusted Cox proportional hazards models were used to study the association between cardiovascular risk factors and incident adjudicated stroke among individuals with CAC = 0 who were free of clinical atherosclerotic cardiovascular disease at baseline. RESULTS: Among 6180 participants (mean age 53 [SD 11] years, 62% women, and 44% White, 36% Black, and 20% other individuals), over a median (IQR) follow up of 15 (12-16) years, there were 122 strokes (95 ischemic, 27 hemorrhagic) with an overall unadjusted event rate of 2.0 per 1000 person-years. After multivariable adjustment, risk factors associated with overall stroke included (hazard ratio [95% CI]) systolic blood pressure (SBP): 1.19 (1.05-1.36) per 10-mmHg increase and carotid intima-media thickness (CIMT): 1.21 (1.04-1.42) per 0.1-mm increment. Current cigarette smoking: 2.68 (1.11-6.50), SBP: 1.23 (1.06-1.42) per 10-mmHg increase, and CIMT: 1.25 (1.04-1.49) per 0.1-mm increment were associated with ischemic stroke, whereas C-reactive protein was associated with hemorrhagic stroke risk (0.49, 0.25-0.93). CONCLUSION: In a large cohort of individuals with CAC = 0, the rate for incident stroke was low (2.0 per 1000-person years) and was associated with modifiable risk factors.

Determinants of Incident Atherosclerotic Cardiovascular Disease Events Among Those With Absent Coronary Artery Calcium: Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: The 2018 American Heart Association/American College of Cardiology/Multisociety cholesterol guideline states that statin therapy may be withheld or delayed among intermediate-risk individuals in the absence of coronary artery calcium (CAC=0). We evaluated whether traditional cardiovascular risk factors are associated with incident atherosclerotic cardiovascular disease (ASCVD) events among individuals with CAC=0 over long-term follow-up. METHODS: We included participants with CAC=0 at baseline from the MESA (Multi-Ethnic Study of Atherosclerosis), a prospective cohort study of individuals free of clinical ASCVD at baseline. We used multivariable-adjusted Cox proportional hazards models to study the association between cardiovascular risk factors (cigarette smoking, diabetes, hypertension, preventive medication use [aspirin and statin], family history of premature ASCVD, chronic kidney disease, waist circumference, lipid and inflammatory markers) and adjudicated incident ASCVD outcomes. RESULTS: We studied 3416 individuals (mean [SD] age 58 [9] years; 63% were female, 33% White, 31% Black, 12% Chinese American, and 24% Hispanic). Over a median follow-up of 16 years, there were 189 ASCVD events (composite of coronary heart disease and stroke) of which 91 were coronary heart disease, 88 were stroke, and 10 were both coronary heart disease and stroke events. The unadjusted event rates of ASCVD were ≤5 per 1000 person-years among individuals with CAC=0 for most risk factors with the exception of current cigarette smoking (7.3), diabetes (8.9), hypertension (5.4), and chronic kidney disease (6.8). After multivariable adjustment, risk factors that were significantly associated with ASCVD included current cigarette smoking: hazard ratio, 2.12 (95% CI, 1.32-3.42); diabetes: hazard ratio, 1.68 (95% CI, 1.01-2.80); and hypertension: hazard ratio, 1.57 (95% CI, 1.06-2.33). CONCLUSIONS: Current cigarette smoking, diabetes, and hypertension are independently associated with incident ASCVD over a 16-year follow-up among those with CAC=0.

Biomarker guided management of hypertension.

PURPOSE OF REVIEW: Approximately 1.28 billion people are affected by hypertension globally and the incidence of hypertension is on an upward trajectory with an aging population and increasing burden of risk factors including obesity. Despite low-cost, highly-effectively, easy-to-treat strategies, it is estimated that ∼720 million people are not receiving the treatment they need for optimal hypertension management. Several factors contribute to this including an unwillingness to be treated for an asymptomatic condition. RECENT FINDINGS: Biomarkers such as troponin, B-type Natriuretic Peptide (BNP), N-terminal-pro hormone BNP (NT-proBNP), uric acid, microalbuminuria have been found to be associated with adverse clinical outcomes among individuals with hypertension. Biomarkers also allow for identification of asymptomatic organ damage. SUMMARY: Biomarkers have the ability to identify higher risk individuals in whom risk-benefit for therapies may be most favorable, helping optimize the net benefit of therapy. Whether biomarkers can help guide therapy intensity and choice remains to be tested.

Heart Failure-Type Symptom Score Trajectories in CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study.

RATIONALE & OBJECTIVE: Quality of life in chronic kidney disease (CKD) is impaired by a large burden of symptoms including some that overlap with the symptoms of heart failure (HF). We studied a group of individuals with CKD to understand the patterns and trajectories of HF-type symptoms in this setting. STUDY DESIGN: Prospective cohort study. SETTING & PARTICIPANTS: 3,044 participants in the Chronic Renal Insufficiency Cohort (CRIC) without prior diagnosis of HF. PREDICTORS: Sociodemographics, medical history, medications, vital signs, laboratory values, echocardiographic and electrocardiographic parameters. OUTCOME: Trajectory over 5.5 years of a HF-type symptom score (modified Kansas City Cardiomyopathy Questionnaire [KCCQ] Overall Summary Score with a range of 0-100 where<75 reflects clinically significant symptoms). ANALYTICAL APPROACH: Latent class mixed models were used to model trajectories. Multinomial logistic regression was used to model relationships of predictors with trajectory group membership. RESULTS: Five trajectories of KCCQ score were identified in the cohort of 3,044 adults, 45% of whom were female, and whose median age was 61 years. Group 1 (41.7%) had a stable high score (minimal symptoms, average score of 96); groups 2 (35.6%) and 3 (15.6%) had stable but lower scores (mild symptoms [average of 81] and clinically significant symptoms [average of 52], respectively). Group 4 (4.9%) had a substantial worsening in symptoms over time (mean 31-point decline), and group 5 (2.2%) had a substantial improvement (mean 33-point increase) in KCCQ score. A majority of group 1 was male, without diabetes or obesity, and this group had higher baseline kidney function. A majority of groups 2 and 3 had diabetes and obesity. A majority of group 4 was male and had substantial proteinuria. Group 5 had the highest proportion of baseline cardiovascular disease (CVD). LIMITATIONS: No validation cohort available, CKD management changes in recent years may alter trajectories, and latent class models depend on the missing at random assumption. CONCLUSIONS: Distinct HF-type symptom burden trajectories were identified in the setting of CKD, corresponding to different baseline characteristics. These results highlight the diversity of HF-type symptom experiences in individuals with CKD.

Coronary Artery Disease Risk Prediction in Young Adults: How Can We Overcome the Dominant Effect of Age?

PURPOSE OF REVIEW: We review the limitations of current approaches for predicting Coronary Artery Disease (CAD) in young adults and explore the alternative approaches identify high-risk individuals in this population. RECENT FINDINGS: Atherosclerosis begins in childhood, and young individuals with genetic predisposition and individuals with early exposure to traditional and non-traditional risk factors have an increased lifetime risk of CAD. However, most risk prediction models have been developed and validated in middle and older age groups and focus on short-term risk. Therefore, alternative approaches are needed in younger individuals. Genetic scores, biomarkers, imaging studies, and multi-omics data all have the potential to be used and help identify high-risk individuals.

Socioeconomic status and in-hospital outcomes for patients undergoing heart transplantation or ventricular assist device implantation.

INTRODUCTION: Although lower socioeconomic status (SES) has been associated with worse in-hospital outcomes among patients with heart failure, the in-hospital outcomes for patients undergoing durable Left Ventricular Assist Device (LVAD) implantation or Heart Transplantation (HT) based on SES have not been well characterized. METHODS: We analyzed data from the National Inpatient Sample of hospitalizations between January 2016 and December 2020 of patients aged 18 and over who underwent a HT or newly implanted LVAD. Quartile classification of the median household income of the patient's residential zip code was used to estimate SES. Multivariable analyses with logistic and linear regression were used to evaluate the effects of SES on inpatient outcomes including inpatient mortality, length of stay, and key inpatient complications. RESULTS: A total of 16,265 weighted hospitalizations for new LVAD implantation and 14,320 weighted hospitalizations for HT were identified. In multivariable analysis, among patients undergoing HT or LVAD implantation respectively, there were no significant differences between the lowest and highest SES quartiles among important in-hospital outcomes including length of stay (adj B-coeff .56, (-3.59)-(4.71), p = .79 and adj B-coeff 2.40, (-.21)-(5.02), p = .07) and mortality (aOR 1.02, .61-1.70, p = .94 and aOR 1.08, .72-1.62, p = .73). There were also no differences based on SES quartile in important inpatient complications including stroke and cardiac arrest. CONCLUSION: In this analysis from the National Inpatient Sample, we demonstrate that SES, evaluated by median zip code income, was not associated with important in-hospital metrics including mortality and length of stay among patients undergoing LVAD or HT.

Genetic Testing for Hypertriglyceridemia in Academic Lipid Clinics: Implications for Precision Medicine-Brief Report.

BACKGROUND: Severe hypertriglyceridemia is often caused by variants in genes of triglyceride metabolism. These variants include rare, heterozygous pathogenic variants (PVs), or multiple common, small-effect single nucleotide polymorphisms that can be quantified using a polygenic risk score (PRS). The role of genetic testing to examine PVs and PRS in predicting risk for pancreatitis and severity of hypertriglyceridemia is unknown. METHODS: We examined the relationship of PVs and PRSs associated with hypertriglyceridemia with the highest recorded plasma triglyceride level and risk for acute pancreatitis in 363 patients from 3 academic lipid clinics who underwent genetic testing (GBinsight's Dyslipidemia Comprehensive Panel). Categories of hypertriglyceridemia included: normal triglyceride (<200 mg/dL), moderate (200-499 mg/dL), severe (500-999 mg/dL), or very severe (≥1000 mg/dL). RESULTS: PVs and high PRSs were identified in 37 (10%) and 59 (16%) individuals, respectively. Patients with both had increased risk for very severe hypertriglyceridemia compared with those with neither genetic risk factor. Risk for acute pancreatitis was also increased in individuals with both genetic risk factors (odds ratio, 5.1 [P=0.02] after controlling for age, race, sex, body mass index, and highest triglyceride level), but not in individuals with PV or high PRS alone. CONCLUSIONS: The presence of both PV and high PRS significantly increased risk for very severe hypertriglyceridemia and acute pancreatitis, whereas PV or PRS alone only modestly increased risk. Genetic testing may help identify patients with hypertriglyceridemia who have the greatest risk for developing pancreatitis and may derive the greatest benefit from novel triglyceride-lowering therapies.

Development and Validation of Machine Learning-Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multicohort Analysis.

BACKGROUND: Heart failure (HF) risk and the underlying risk factors vary by race. Traditional models for HF risk prediction treat race as a covariate in risk prediction and do not account for significant parameters such as cardiac biomarkers. Machine learning (ML) may offer advantages over traditional modeling techniques to develop race-specific HF risk prediction models and to elucidate important contributors of HF development across races. METHODS: We performed a retrospective analysis of 4 large, community cohort studies (ARIC [Atherosclerosis Risk in Communities], DHS [Dallas Heart Study], JHS [Jackson Heart Study], and MESA [Multi-Ethnic Study of Atherosclerosis]) with adjudicated HF events. The study included participants who were >40 years of age and free of HF at baseline. Race-specific ML models for HF risk prediction were developed in the JHS cohort (for Black race-specific model) and White adults from ARIC (for White race-specific model). The models included 39 candidate variables across demographic, anthropometric, medical history, laboratory, and electrocardiographic domains. The ML models were externally validated and compared with prior established traditional and non-race-specific ML models in race-specific subgroups of the pooled MESA/DHS cohort and Black participants of ARIC. The Harrell C-index and Greenwood-Nam-D'Agostino χ2 tests were used to assess discrimination and calibration, respectively. RESULTS: The ML models had excellent discrimination in the derivation cohorts for Black (n=4141 in JHS, C-index=0.88) and White (n=7858 in ARIC, C-index=0.89) participants. In the external validation cohorts, the race-specific ML model demonstrated adequate calibration and superior discrimination (Black individuals, C-index=0.80-0.83; White individuals, C-index=0.82) compared with established HF risk models or with non-race-specific ML models derived with race included as a covariate. Among the risk factors, natriuretic peptide levels were the most important predictor of HF risk across both races, followed by troponin levels in Black and ECG-based Cornell voltage in White individuals. Other key predictors of HF risk among Black individuals were glycemic parameters and socioeconomic factors. In contrast, prevalent cardiovascular disease and traditional cardiovascular risk factors were stronger predictors of HF risk in White adults. CONCLUSIONS: Race-specific and ML-based HF risk models that integrate clinical, laboratory, and biomarker data demonstrated superior performance compared with traditional HF risk and non-race-specific ML models. This approach identifies distinct race-specific contributors of HF.

Heart failure-type symptom scores in chronic kidney disease: The importance of body mass index.

OBJECTIVES: This analysis sought to determine factors (including adiposity-related factors) most associated with HF-type symptoms (fatigue, shortness of breath, and edema) in adults with chronic kidney disease (CKD). BACKGROUND: Symptom burden impairs quality of life in CKD, especially symptoms that overlap with HF. These symptoms are common regardless of clinical HF diagnosis, and may be affected by subtle cardiac dysfunction, kidney dysfunction, and other factors. We used machine learning to investigate cross-sectional relationships of clinical variables with symptom scores in a CKD cohort. METHODS: Participants in the Chronic Renal Insufficiency Cohort (CRIC) with a baseline modified Kansas City Cardiomyopathy Questionnaire (KCCQ) score were included, regardless of prior HF diagnosis. The primary outcome was Overall Summary Score as a continuous measure. Predictors were 99 clinical variables representing demographic, cardiac, kidney and other health dimensions. A correlation filter was applied. Random forest regression models were fitted. Variable importance scores and adjusted predicted outcomes are presented. RESULTS: The cohort included 3426 individuals, 10.3% with prior HF diagnosis. BMI was the most important factor, with BMI 24.3 kg/m2 associated with the least symptoms. Symptoms worsened with higher or lower BMIs, with a potentially clinically relevant 5 point score decline at 35.7 kg/m2 and a 1-point decline at the threshold for low BMI, 18.5 kg/m2. The most important cardiac and kidney factors were heart rate and eGFR, the 4th and 5th most important variables, respectively. Results were similar for secondary analyses. CONCLUSIONS: In a CKD cohort, BMI was the most important feature for explaining HF-type symptoms regardless of clinical HF diagnosis, identifying an important focus for symptom directed investigations.

Diabetes Duration and Subclinical Myocardial Injury: The Atherosclerosis Risk in Communities Study (ARIC).

BACKGROUND: Diabetes exerts adverse effects on the heart, and a longer diabetes duration is associated with greater heart failure risk. We studied diabetes duration and subclinical myocardial injury, as reflected by high-sensitivity cardiac troponin (hs-cTnT). METHODS: We analyzed 9052 participants without heart failure or coronary heart disease (mean age 63 years, 58% female, 21% Black, 15% with diabetes) at The Atherosclerosis Risk in Communities Study (ARIC) Visit 4 (1996 to 1998). Diabetes duration was calculated based on diabetes status at Visits 1 (1987 to 1989) through 4, or using self-reported age of diabetes diagnosis prior to Visit 1. We used multinomial logistic regression to determine the association of diabetes duration with increased (≥14 ng/L) or detectable (≥6 ng/L) Visit 4 hs-cTnT, relative to undetectable hs-cTnT, adjusted for demographics and cardiovascular risk factors. RESULTS: The prevalence of increased Visit 4 hs-cTnT was higher in persons with longer diabetes duration, from 12% for those with diabetes 0 to <5 years up to 31% among those with diabetes for ≥15 years (P for trend <0.0001). New onset diabetes at Visit 4 was associated with 1.92× higher relative risk (95% CI, 1.27-2.91) of increased hs-cTnT than no diabetes. Longer diabetes duration was associated with greater myocardial injury, with duration ≥15 years associated with 9.29× higher risk (95% CI, 5.65-15.29) for increased hs-cTnT and 2.07× (95% CI, 1.24-3.16) for detectable hs-cTnT, compared to no diabetes. CONCLUSIONS: Longer diabetes duration is strongly associated with subclinical myocardial injury. Interventional studies are needed to assess whether the prevention and delay of diabetes onset can mitigate early myocardial damage.

Upper Reference Limits for High-Sensitivity Cardiac Troponin T and N-Terminal Fragment of the Prohormone Brain Natriuretic Peptide in Patients With CKD.

RATIONALE & OBJECTIVE: The utility of conventional upper reference limits (URL) for N-terminal pro-brain natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hsTnT) in chronic kidney disease (CKD) remains debated. We analyzed the distribution of hsTnT and NT-proBNP in people with CKD in ambulatory settings to examine the diagnostic value of conventional URL in this population. STUDY DESIGN: Observational study. SETTING & PARTICIPANTS: We studied participants of the Chronic Renal Insufficiency Cohort (CRIC) with CKD and no self-reported history of cardiovascular disease. EXPOSURE: Estimated glomerular filtration rate (eGFR). OUTCOME: NT-proBNP and hsTnT at baseline. ANALYTICAL APPROACH: We described the proportion of participants above the conventional URL for NT-proBNP (125pg/mL) and hsTnT (14ng/L) overall and by eGFR. We then estimated 99th percentile URL for NT-proBNP and hsTnT. Using quantile regression of the 99th percentile, we modeled the association of eGFR with NT-proBNP and hsTnT. RESULTS: Among 2,312 CKD participants, 40% and 43% had levels of NT-proBNP and hsTnT above the conventional URL, respectively. In those with eGFR <30mL/min/1.73m2, 71% and 68% of participants had concentrations of NT-proBNP and hsTnT above the conventional URL, respectively. Among all CKD participants, the 99th percentile for NT-proBNP was 3,592 (95% CI, 2,470-4,849) pg/mL and for hsTnT it was 126 (95% CI, 100-144) ng/L. Each 15mL/min/1.73m2 decrement in eGFR was associated with a ~40% higher threshold for the 99th percentile of NT-proBNP (1.43 [95% CI, 1.21-1.69]) and hsTnT (1.45 [95% CI, 1.31-1.60]). LIMITATIONS: Study included ambulatory patients, and we could not test the accuracy of the URL of NT-proBNP and hsTnT in the acute care setting. CONCLUSIONS: In this ambulatory CKD population with no self-reported history of cardiovascular disease, a range of 40%-88% of participants had concentrations of NT-proBNP and hsTnT above the conventional URL, depending on eGFR strata. Developing eGFR-specific thresholds for these commonly used cardiac biomarkers in the setting of CKD may improve their utility for evaluation of suspected heart failure and myocardial infarction.

Racial Differences in Malignant Left Ventricular Hypertrophy and Incidence of Heart Failure: A Multicohort Study.

BACKGROUND: A malignant subphenotype of left ventricular hypertrophy (LVH) has been described, in which minimal elevations in cardiac biomarkers identify individuals with LVH at high risk for developing heart failure (HF). We tested the hypothesis that a higher prevalence of malignant LVH among blacks may contribute to racial disparities in HF risk. METHODS: Participants (n=15 710) without prevalent cardiovascular disease were pooled from 3 population-based cohort studies, the ARIC Study (Atherosclerosis Risk in Communities), the DHS (Dallas Heart Study), and the MESA (Multi-Ethnic Study of Atherosclerosis). Participants were classified into 3 groups: those without ECG-LVH, those with ECG-LVH and normal biomarkers (hs-cTnT (high sensitivity cardiac troponin-T) <6 ng/L and NT-proBNP (N-terminal pro-B-type natriuretic peptide) <100 pg/mL), and those with ECG-LVH and abnormal levels of either biomarker (malignant LVH). The outcome was incident HF. RESULTS: Over the 10-year follow-up period, HF occurred in 512 (3.3%) participants, with 5.2% in black men, 3.8% in white men, 3.2% in black women, and 2.2% in white women. The prevalence of malignant LVH was 3-fold higher among black men and women versus white men and women. Compared with participants without LVH, the adjusted hazard ratio for HF was 2.8 (95% CI, 2.1-3.5) in those with malignant LVH and 0.9 (95% CI, 0.6-1.5) in those with LVH and normal biomarkers, with similar findings in each race/sex subgroup. Mediation analyses indicated that 33% of excess hazard for HF among black men and 11% of the excess hazard among black women was explained by the higher prevalence of malignant LVH in blacks. Of black men who developed HF, 30.8% had malignant LVH at baseline, with a corresponding population attributable fraction of 0.21. The proportion of HF cases occurring among those with malignant LVH, and the corresponding population attributable fraction, were intermediate and similar among black women and white men and lowest among white women. CONCLUSIONS: A higher prevalence of malignant LVH may in part explain the higher risk of HF among blacks versus whites. Strategies to prevent development or attenuate risk associated with malignant LVH should be investigated as a strategy to lower HF risk and mitigate racial disparities.

Mortality, Kidney Failure, and Hospitalization Among Medicare Beneficiaries With CKD and Pulmonary Hypertension.

RATIONALE & OBJECTIVE: Pulmonary hypertension (PH) is highly prevalent among patients with chronic kidney disease (CKD) not requiring kidney replacement therapy. We studied the associations of PH with mortality, kidney failure, as well as cardiovascular (CV) and non-CV hospitalization among Medicare beneficiaries with a CKD diagnosis. STUDY DESIGN: Retrospective, observational study using a matched cohort design. SETTING & PARTICIPANTS: Patients with PH (based on 2 claims within 2 years) and patients without PH matched on CKD stage from the Medicare 5% CKD sample (1996-2016). PREDICTOR: Presence of pulmonary hypertension. OUTCOME: Mortality, kidney failure, and all-cause, CV, and non-CV hospitalization. ANALYTICAL APPROACH: Cox proportional hazards models to assess the association between PH and mortality, adjusting for age, sex, race, and comorbidities. Death was considered as a competing event in Fine-Gray models to assess the association between PH and kidney failure. Negative binomial model was used to evaluate the relationship between PH and all-cause, CV, and non-CV hospitalizations. RESULTS: 30,052 patients with PH and CKD and 150,260 CKD stage-matched patients without diagnosed PH were studied. The median age of the study population was 80.7 years, 57.8% were women, and 10.3% were African Americans. The presence of PH was associated with an increased risk of mortality after 1 (HR, 2.87 [95% CI, 2.79-2.95]), 2-3 (HR, 1.56 [95% CI, 1.51-1.61]), and 4-5 (HR, 1.47 [95% CI, 1.40-1.53]) years of follow-up, and a higher risk of all-cause, CV, and non-CV hospitalization during the same period. PH was also associated with kidney failure in after 1 and 2-3 years but not after 4-5 years of follow-up evaluation. Patients with PH also experienced higher rates of acute kidney injury (AKI), and AKI requiring dialysis support within 30 and 90 days of AKI. LIMITATIONS: Reliance on billing codes and lack of echocardiogram or right heart catheterization data CONCLUSIONS: Among older Medicare beneficiaries with a CKD diagnosis not requiring kidney replacement therapy, the presence of PH was associated with an increased risk of mortality, kidney failure, and hospitalization. Understanding of the mechanism of these associations, especially the increased risk of kidney failure, requires further study.

Fibrosis and Inflammatory Markers and Long-Term Risk of Peripheral Artery Disease: The ARIC Study.

OBJECTIVE: Inflammatory markers, such as hs-CRP (high-sensitivity C-reactive protein), have been reported to be related to peripheral artery disease (PAD). Galectin-3, a biomarker of fibrosis, has been linked to vascular remodeling and atherogenesis. However, its prospective association with incident PAD is unknown; as is the influence of inflammation on the association between galectin-3 and PAD. Approach and Results: In 9851 Atherosclerosis Risk in Communities Study participants free of PAD at baseline (1996-1998), we quantified the association of galactin-3 and hs-CRP with incident PAD (hospitalizations with PAD diagnosis [International Classification of Diseases-Ninth Revision: 440.2-440.4] or leg revascularization [eg, International Classification of Diseases-Ninth Revision: 38.18]) as well as its severe form, critical limb ischemia (PAD cases with resting pain, ulcer, gangrene, or leg amputation) using Cox models. Over a median follow-up of 17.4 years, there were 316 cases of PAD including 119 critical limb ischemia cases. Log-transformed galectin-3 was associated with incident PAD (adjusted hazard ratio, 1.17 [1.05-1.31] per 1 SD increment) and critical limb ischemia (1.25 [1.05-1.49] per 1 SD increment). The association was slightly attenuated after further adjusting for hs-CRP (1.14 [1.02-1.27] and 1.22 [1.02-1.45], respectively). Log-transformed hs-CRP demonstrated robust associations with PAD and critical limb ischemia even after adjusting for galectin-3 (adjusted hazard ratio per 1 SD increment 1.34 [1.18-1.52] and 1.34 [1.09-1.65], respectively). The addition of galectin-3 and hs-CRP to traditional atherosclerotic predictors (C statistic of the base model 0.843 [0.815-0.871]) improved the risk prediction of PAD (ΔC statistics, 0.011 [0.002-0.020]). CONCLUSIONS: Galectin-3 and hs-CRP were independently associated with incident PAD in the general population, supporting the involvement of fibrosis and inflammation in the pathophysiology of PAD.

Is There an Optimal Antiplatelet Strategy after Gastrointestinal Bleeding in Patients with Coronary Artery Disease?

Gastrointestinal bleeding after percutaneous coronary intervention (PCI) is a not too uncommon clinical situation and is associated with high morbidity and mortality. After initial treatment, a number of clinical decisions must be made weighing the risks of ischemic events and future bleeding. In particular, healthcare providers must carefully balance the effectiveness of antiplatelet therapy in the secondary prevention of coronary events, primarily future spontaneous myocardial infarction and stent thrombosis, against the risk of major, most commonly gastrointestinal bleeding. The first question is whether a dual antiplatelet therapy strategy is required or if a single antiplatelet agent will suffice. Then, if a single antiplatelet agent is adequate, which agent should be continued. Although there is some guidance to answer some of these questions, there are inadequate evidence-based data for others. Below, we review the various considerations and summarize our approach and rationale to manage patients who had gastrointestinal bleeding after PCI.