Seroprevalence of SARS-CoV-2 in pediatric hematology-oncology patients.

BACKGROUND: The COVID-19 pandemic disproportionately affected persons with underlying medical conditions. SARS-CoV-2 infection susceptibility and vaccine effectiveness in pediatric hematology-oncology patients were unknown. METHODS: From February to July 2022, anti-spike and anti-nucleocapsid Ig were assayed in 354 pediatric hematology-oncology subjects, including 53 oncology patients receiving chemotherapy (cancer), 150 patients with sickle cell disease (SCD), and 151 benign consult and long-term follow-up patients (controls). Participants completed a questionnaire. RESULTS: Frequencies of COVID-19 infection, defined by positive PCR/antigen test or anti-nucleocapsid Ig, were 62% in cancer, 71% in SCD, 52% in controls, with SCD statistically different than controls (p = .001). Infection was associated with COVID-19 exposure, Hispanic/Latino or Black/African American ethnicity, multi-family dwelling, sports participation; COVID-19 booster decreased association with infection. In COVID-19-positive cancer patients, 58% had positive anti-nucleocapsid and 76% had positive anti-spike (≥10 U/mL), compared to essentially 100% seroconversion in SCD and controls (p < .0001, p = .01, respectively). Infection led to high anti-spike (≥2500 U/mL) in 12% cancer, 14% SCD, and 15% controls (p = .93). Vaccination resulted in anti-spike positivity in 90% cancer, 100% SCD, and 100% controls (p = .06), and in high anti-spike in 20% cancer, 47% SCD, and 41% controls (p = .36). Of boosted subjects, one of two cancer, 6/6 SCD, and 19/19 controls exhibited high anti-spike. CONCLUSIONS: Cancer patients demonstrated similar SARS-CoV-2 infection frequency as controls, but diminished antibody response to infection and vaccination. SCD patients exhibited seroconversion indistinguishable from controls. Vaccination was associated with higher frequency of high anti-spike than infection; vaccination plus booster was most effective in eliciting high anti-spike antibody detectable beyond 90 days.

Prognostic Value of Cardiovascular Biomarkers in the Population.

Importance: Identification of individuals at high risk for atherosclerotic cardiovascular disease within the population is important to inform primary prevention strategies. Objective: To evaluate the prognostic value of routinely available cardiovascular biomarkers when added to established risk factors. Design, Setting, and Participants: Individual-level analysis including data on cardiovascular biomarkers from 28 general population-based cohorts from 12 countries and 4 continents with assessments by participant age. The median follow-up was 11.8 years. Exposure: Measurement of high-sensitivity cardiac troponin I, high-sensitivity cardiac troponin T, N-terminal pro-B-type natriuretic peptide, B-type natriuretic peptide, or high-sensitivity C-reactive protein. Main Outcomes and Measures: The primary outcome was incident atherosclerotic cardiovascular disease, which included all fatal and nonfatal events. The secondary outcomes were all-cause mortality, heart failure, ischemic stroke, and myocardial infarction. Subdistribution hazard ratios (HRs) for the association of biomarkers and outcomes were calculated after adjustment for established risk factors. The additional predictive value of the biomarkers was assessed using the C statistic and reclassification analyses. Results: The analyses included 164 054 individuals (median age, 53.1 years [IQR, 42.7-62.9 years] and 52.4% were women). There were 17 211 incident atherosclerotic cardiovascular disease events. All biomarkers were significantly associated with incident atherosclerotic cardiovascular disease (subdistribution HR per 1-SD change, 1.13 [95% CI, 1.11-1.16] for high-sensitivity cardiac troponin I; 1.18 [95% CI, 1.12-1.23] for high-sensitivity cardiac troponin T; 1.21 [95% CI, 1.18-1.24] for N-terminal pro-B-type natriuretic peptide; 1.14 [95% CI, 1.08-1.22] for B-type natriuretic peptide; and 1.14 [95% CI, 1.12-1.16] for high-sensitivity C-reactive protein) and all secondary outcomes. The addition of each single biomarker to a model that included established risk factors improved the C statistic. For 10-year incident atherosclerotic cardiovascular disease in younger people (aged <65 years), the combination of high-sensitivity cardiac troponin I, N-terminal pro-B-type natriuretic peptide, and high-sensitivity C-reactive protein resulted in a C statistic improvement from 0.812 (95% CI, 0.8021-0.8208) to 0.8194 (95% CI, 0.8089-0.8277). The combination of these biomarkers also improved reclassification compared with the conventional model. Improvements in risk prediction were most pronounced for the secondary outcomes of heart failure and all-cause mortality. The incremental value of biomarkers was greater in people aged 65 years or older vs younger people. Conclusions and Relevance: Cardiovascular biomarkers were strongly associated with fatal and nonfatal cardiovascular events and mortality. The addition of biomarkers to established risk factors led to only a small improvement in risk prediction metrics for atherosclerotic cardiovascular disease, but was more favorable for heart failure and mortality.

Sacubitril/valsartan and cardiovascular biomarkers among patients with recent COVID-19 infection: The PARACOR-19 randomized clinical trial.

AIMS: The PARACOR-19 randomized controlled trial (RCT) was designed to examine the effects of sacubitril/valsartan on markers of cardiac injury, inflammation, structure, and function among patients who have recovered from acute coronavirus disease 2019 (COVID-19) infection. METHODS AND RESULTS: PARACOR-19 was a single-centre, double-blind RCT of patients with cardiovascular risk factors and a history of COVID-19 infection 4-16 weeks prior to enrolment. Patients were randomized to sacubitril/valsartan (titrated to the maximum dose of 97/103 mg twice daily) versus matching placebo. Co-primary endpoints were change from baseline to 12 weeks in high-sensitivity cardiac troponin T (hs-cTnT) and soluble ST2 (sST2). Exploratory endpoints included change from baseline to 12 weeks in additional circulating biomarkers. Overall, 42 patients were randomized between August 2021 and March 2023 (n = 20 sacubitril/valsartan, n = 22 placebo). Median (25th-75th) time from COVID-19 diagnosis to enrolment was 67 (48-80) days. Median age was 67 (62-71) years, 48% were female, and 91% were White. Compared with placebo, sacubitril/valsartan did not have a significant effect on the co-primary endpoints of change from baseline in hs-TnT and sST2 (all p ≥ 0.29). In exploratory analyses, sacubitril/valsartan led to a 46% greater reduction in N-terminal pro-B-type natriuretic peptide (NT-proBNP) and 51% greater reduction in C-terminal telopeptide of collagen type I (CITP). Permanent drug discontinuation occurred in four patients in the sacubitril/valsartan group and three patients in the placebo group. There were no deaths and one patient was hospitalized in each group. CONCLUSION: In this pilot RCT of patients who recovered from acute COVID-19, sacubitril/valsartan did not lower hs-cTnT or sST2 compared with placebo. Exploratory analyses suggested potential benefits of sacubitril/valsartan on cardiac wall stress and collagen turnover as measured by NT-proBNP and CITP. Sacubitril/valsartan was well tolerated. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov NCT04883528.

Cardiology career satisfaction: a little academic activity goes a long way.

The professional landscape for clinical cardiologists and most physicians has changed dramatically in the last decade in the United States. By the end of 2020, 87% of cardiologists were integrated with a health system (employed or part of a professional services agreement). Physicians transitioning to a large employer are often dissatisfied with the lack of autonomy and the pressure from "one-size-fits-all" productivity targets. The results from physician surveys indicate that physicians practicing clinically in an academic environment have greater job satisfaction. Potentially even a modest amount of time comprising 10-20% of total effort spent on academic pursuits that are most meaningful to the individual physician can result in nearly a two-thirds lower risk of burnout compared with physicians who don't receive this time. The opportunity to participate in this special topic compendium by cardiovascular specialists at one regional integrated health system in the United States is an example of an opportunity to successfully incorporate meaningful professional academic opportunities into a clinical care environment.

AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CACTM) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis.

INTRODUCTION: Coronary artery calcium (CAC) scans contain useful information beyond the Agatston CAC score that is not currently reported. We recently reported that artificial intelligence (AI)-enabled cardiac chambers volumetry in CAC scans (AI-CAC™) predicted incident atrial fibrillation in the Multi-Ethnic Study of Atherosclerosis (MESA). In this study, we investigated the performance of AI-CAC cardiac chambers for prediction of incident heart failure (HF). METHODS: We applied AI-CAC to 5750 CAC scans of asymptomatic individuals (52% female, White 40%, Black 26%, Hispanic 22% Chinese 12%) free of known cardiovascular disease at the MESA baseline examination (2000-2002). We used the 15-year outcomes data and compared the time-dependent area under the curve (AUC) of AI-CAC volumetry versus NT-proBNP, Agatston score, and 9 known clinical risk factors (age, gender, diabetes, current smoking, hypertension medication, systolic and diastolic blood pressure, LDL, HDL for predicting incident HF over 15 years. RESULTS: Over 15 years of follow-up, 256 HF events accrued. The time-dependent AUC [95% CI] at 15 years for predicting HF with AI-CAC all chambers volumetry (0.86 [0.82,0.91]) was significantly higher than NT-proBNP (0.74 [0.69, 0.77]) and Agatston score (0.71 [0.68, 0.78]) (p â€‹< â€‹0.0001), and comparable to clinical risk factors (0.85, p â€‹= â€‹0.4141). Category-free Net Reclassification Index (NRI) [95% CI] adding AI-CAC LV significantly improved on clinical risk factors (0.32 [0.16,0.41]), NT-proBNP (0.46 [0.33,0.58]), and Agatston score (0.71 [0.57,0.81]) for HF prediction at 15 years (p â€‹< â€‹0.0001). CONCLUSION: AI-CAC volumetry significantly outperformed NT-proBNP and the Agatston CAC score, and significantly improved the AUC and category-free NRI of clinical risk factors for incident HF prediction.

AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis.

BACKGROUND: Coronary artery calcium (CAC) scans contain actionable information beyond CAC scores that is not currently reported. METHODS: We have applied artificial intelligence-enabled automated cardiac chambers volumetry to CAC scans (AI-CACTM) to 5535 asymptomatic individuals (52.2% women, ages 45-84) that were previously obtained for CAC scoring in the baseline examination (2000-2002) of the Multi-Ethnic Study of Atherosclerosis (MESA). AI-CAC took on average 21 â€‹s per CAC scan. We used the 5-year outcomes data for incident atrial fibrillation (AF) and assessed discrimination using the time-dependent area under the curve (AUC) of AI-CAC LA volume with known predictors of AF, the CHARGE-AF Risk Score and NT-proBNP. The mean follow-up time to an AF event was 2.9 â€‹± â€‹1.4 years. RESULTS: At 1,2,3,4, and 5 years follow-up 36, 77, 123, 182, and 236 cases of AF were identified, respectively. The AUC for AI-CAC LA volume was significantly higher than CHARGE-AF for Years 1, 2, and 3 (0.83 vs. 0.74, 0.84 vs. 0.80, and 0.81 vs. 0.78, respectively, all p â€‹< â€‹0.05), but similar for Years 4 and 5, and significantly higher than NT-proBNP at Years 1-5 (all p â€‹< â€‹0.01), but not for combined CHARGE-AF and NT-proBNP at any year. AI-CAC LA significantly improved the continuous Net Reclassification Index for prediction of AF over years 1-5 when added to CHARGE-AF Risk Score (0.60, 0.28, 0.32, 0.19, 0.24), and NT-proBNP (0.68, 0.44, 0.42, 0.30, 0.37) (all p â€‹< â€‹0.01). CONCLUSION: AI-CAC LA volume enabled prediction of AF as early as one year and significantly improved on risk classification of CHARGE-AF Risk Score and NT-proBNP.

Circulating biomarkers in the diagnosis and prognosis of immune checkpoint inhibitor-related myocarditis: time for a risk-based approach.

Immune checkpoint inhibitors (ICIs) are monoclonal antibodies that block immune checkpoints and therefore activate immune cells, allowing them to recognize and attack cancer cells. ICIs have revolutionized oncology practice, but their use has been complicated by immune-related adverse events (irAEs). Of cardiovascular (CV) irAEs, ICI-related myocarditis has received significant attention due to high mortality rates, ranging from 25% to 50%, despite its overall low incidence. Establishing the early diagnosis of ICI-myocarditis is important for early initiation of steroids and consideration of hospitalization in patients who are at risk for hemodynamic compromise and need high acuity care in a tertiary setting. In this review, we summarize the diagnostic and prognostic tools for ICI-myocarditis, including electrocardiography, echocardiography, cardiac magnetic resonance imaging, with emphasis on circulating biomarkers. Cardiac troponins (cTns) are an essential component of the diagnosis of ICI-myocarditis, and we provide a summary of the recent studies that utilized different assays (cTnI vs. cTnT) and outcomes (diagnosis vs. prognosis including major adverse cardiac outcomes). With the exponential increase in ICI use across different oncology indications, there is a major need to include biomarkers in risk stratification to guide diagnosis and treatment. Our review proposes a framework for future multisite registries, including cTn evaluation at baseline and at the time of irAE suspicion, with development of central biobanking to allow head-to-head evaluation and clinical validation of different biomarker assays in ICI-myocarditis. This approach, with the inclusion of CV biomarkers into clinical and pragmatic oncology trials, holds promise to improve the early recognition and management of ICI-myocarditis and CV irAEs, thus leading to better outcomes.

AI-enabled Left Atrial Volumetry in Cardiac CT Scans Improves CHARGE-AF and Outperforms NT-ProBNP for Prediction of Atrial Fibrillation in Asymptomatic Individuals: Multi-Ethnic Study of Atherosclerosis.

Background: Coronary artery calcium (CAC) scans contain actionable information beyond CAC scores that is not currently reported. Methods: We have applied artificial intelligence-enabled automated cardiac chambers volumetry to CAC scans (AI-CAC), taking on average 21 seconds per CAC scan, to 5535 asymptomatic individuals (52.2% women, ages 45-84) that were previously obtained for CAC scoring in the baseline examination (2000-2002) of the Multi-Ethnic Study of Atherosclerosis (MESA). We used the 5-year outcomes data for incident atrial fibrillation (AF) and compared the time-dependent AUC of AI-CAC LA volume with known predictors of AF, the CHARGE-AF Risk Score and NT-proBNP (BNP). The mean follow-up time to an AF event was 2.9±1.4 years. Results: At 1,2,3,4, and 5 years follow-up 36, 77, 123, 182, and 236 cases of AF were identified, respectively. The AUC for AI-CAC LA volume was significantly higher than CHARGE-AF or BNP at year 1 (0.836, 0.742, 0.742), year 2 (0.842, 0.807,0.772), and year 3 (0.811, 0.785, 0.745) (p<0.02), but similar for year 4 (0.785, 0.769, 0.725) and year 5 (0.781, 0.767, 0.734) respectively (p>0.05). AI-CAC LA volume significantly improved the continuous Net Reclassification Index for prediction of AF over years 1-5 when added to CAC score (0.74, 0.49, 0.53, 0.39, 0.44), CHARGE-AF Risk Score (0.60, 0.28, 0.32, 0.19, 0.24), and BNP (0.68, 0.44, 0.42, 0.30, 0.37) respectively (p<0.01). Conclusion: AI-CAC LA volume enabled prediction of AF as early as one year and significantly improved on risk classification of CHARGE-AF Risk Score and BNP.

Effects of Pitavastatin on Coronary Artery Disease and Inflammatory Biomarkers in HIV: Mechanistic Substudy of the REPRIEVE Randomized Clinical Trial.

Importance: Cardiovascular disease (CVD) is increased in people with HIV (PWH) and is characterized by premature noncalcified coronary plaque. In the Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE), pitavastatin reduced major adverse cardiovascular events (MACE) by 35% over a median of 5.1 years. Objective: To investigate the effects of pitavastatin on noncalcified coronary artery plaque by coronary computed tomography angiography (CTA) and on inflammatory biomarkers as potential mechanisms for MACE prevention. Design, Setting, and Participants: This double-blind, placebo-controlled randomized clinical trial enrolled participants from April 2015 to February 2018 at 31 US clinical research sites. PWH without known CVD who were taking antiretroviral therapy and had low to moderate 10-year CVD risk were included. Data were analyzed from April to November 2023. Intervention: Oral pitavastatin calcium, 4 mg per day. Main Outcomes and Measures: Coronary CTA and inflammatory biomarkers at baseline and 24 months. The primary outcomes were change in noncalcified coronary plaque volume and progression of noncalcified plaque. Results: Of 804 enrolled persons, 774 had at least 1 evaluable CTA. Plaque changes were assessed in 611 who completed both CT scans. Of 611 analyzed participants, 513 (84.0%) were male, the mean (SD) age was 51 (6) years, and the median (IQR) 10-year CVD risk was 4.5% (2.6-7.0). A total of 302 were included in the pitavastatin arm and 309 in the placebo arm. The mean noncalcified plaque volume decreased with pitavastatin compared with placebo (mean [SD] change, -1.7 [25.2] mm3 vs 2.6 [27.1] mm3; baseline adjusted difference, -4.3 mm3; 95% CI, -8.6 to -0.1; P = .04; 7% [95% CI, 1-12] greater reduction relative to placebo). A larger effect size was seen among the subgroup with plaque at baseline (-8.8 mm3 [95% CI, -17.9 to 0.4]). Progression of noncalcified plaque was 33% less likely with pitavastatin compared with placebo (relative risk, 0.67; 95% CI, 0.52-0.88; P = .003). Compared with placebo, the mean low-density lipoprotein cholesterol decreased with pitavastatin (mean change: pitavastatin, -28.5 mg/dL; 95% CI, -31.9 to -25.1; placebo, -0.8; 95% CI, -3.8 to 2.2). The pitavastatin arm had a reduction in both oxidized low-density lipoprotein (-29% [95% CI, -32 to -26] vs -13% [95% CI, -17 to -9]; P < .001) and lipoprotein-associated phospholipase A2 (-7% [95% CI, -11 to -4] vs 14% [95% CI, 10-18]; P < .001) compared with placebo at 24 months. Conclusions and Relevance: In PWH at low to moderate CVD risk, 24 months of pitavastatin reduced noncalcified plaque volume and progression as well as markers of lipid oxidation and arterial inflammation. These changes may contribute to the observed MACE reduction in REPRIEVE. Trial Registration: ClinicalTrials.gov Identifier: NCT02344290.

Early immune factors associated with the development of post-acute sequelae of SARS-CoV-2 infection in hospitalized and non-hospitalized individuals.

Background: Infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can lead to post-acute sequelae of SARS-CoV-2 (PASC) that can persist for weeks to years following initial viral infection. Clinical manifestations of PASC are heterogeneous and often involve multiple organs. While many hypotheses have been made on the mechanisms of PASC and its associated symptoms, the acute biological drivers of PASC are still unknown. Methods: We enrolled 494 patients with COVID-19 at their initial presentation to a hospital or clinic and followed them longitudinally to determine their development of PASC. From 341 patients, we conducted multi-omic profiling on peripheral blood samples collected shortly after study enrollment to investigate early immune signatures associated with the development of PASC. Results: During the first week of COVID-19, we observed a large number of differences in the immune profile of individuals who were hospitalized for COVID-19 compared to those individuals with COVID-19 who were not hospitalized. Differences between individuals who did or did not later develop PASC were, in comparison, more limited, but included significant differences in autoantibodies and in epigenetic and transcriptional signatures in double-negative 1 B cells, in particular. Conclusions: We found that early immune indicators of incident PASC were nuanced, with significant molecular signals manifesting predominantly in double-negative B cells, compared with the robust differences associated with hospitalization during acute COVID-19. The emerging acute differences in B cell phenotypes, especially in double-negative 1 B cells, in PASC patients highlight a potentially important role of these cells in the development of PASC.

Association of thyroid dysfunction in individuals ≥ 65 years of age with subclinical cardiac abnormalities.

CONTEXT: The relationship between thyroid dysfunction and measures of myocardial disease in older individuals remains to be defined. OBJECTIVE: To evaluate the impact of thyroid dysfunction on structure and function of the left-heart chambers and blood markers of cardiac disease. DESIGN: Cross-sectional analysis. SETTING: The Cardiovascular Health Study, a community-based cohort of older individuals recruited from four urban areas in the United States. PATIENTS: Of 3163 participants studied, 2477 were euthyroid, 465 had subclinical hypothyroidism (SCH), 47 overt hypothyroidism (OH), 45 endogenous (endo) subclinical hyperthyroidism (endo-SCT), and 129 had exogenous (exo) SCT due to thyroid hormone supplementation. INTERVENTIONS: Clinical evaluation, blood sampling and biomarker measurement, 2-dimensional and speckle-tracking echocardiography. MAIN OUTCOME MEASURE(S): Left heart myocardial deformation, circulating biomarkers of diastolic overload (NT-proBNP), fibrosis (sST2, gal-3), and cardiomyocyte injury (hs-cTnT). RESULTS: SCH was associated with higher NT-proBNP (beta = 0.17, p = 0.004), whereas OH was associated with higher hs-cTnT (beta = 0.29, p = 0.005). There were also suggestive associations of SCH with higher sST2, as well as endo-SCT with higher gal-3 and lower (worse) left atrial reservoir strain. Left ventricular longitudinal strain and end-diastolic strain rate did not differ significantly from euthyroid participants in SCH, OH, or exo-SCT. CONCLUSIONS: In this free-living elderly cohort, subclinical and overt hypothyroidism were associated with abnormalities of blood biomarkers consistent with diastolic overload and myocardial necrosis respectively, whereas subclinical hyperthyroidism tended to be associated with myocardial fibrosis and decreased left atrial strain. Our findings could represent stage B heart failure and illuminate distinct aspects of the pathobiology of heart disease related to thyroid gland dysfunction with potential clinical implications.

Sex-Related Differences in Patient Characteristics, Hemodynamics, and Outcomes of Cardiogenic Shock: INOVA-SHOCK Registry.

Background: Little is known about sex-related differences in outcomes of patients with cardiogenic shock (CS) treated within a standardized team-based approach (STBA). Methods: We evaluated 520 consecutive patients (151 women and 369 men) with CS due to acute myocardial infarction (AMI) and heart failure (HF) in a single-center registry (January 2017-December 2019) and examined outcomes according to sex and CS phenotype. The primary outcome was in-hospital mortality. Secondary outcomes included major adverse cardiac events, 30-day mortality, major bleeding, vascular complications, and stroke. Results: Women with AMI-CS had higher baseline acuity (CardShock score: female [F]: 5.5 vs male [M]: 4.0; P = .04). Women with HF-CS more often presented with cardiac arrest (F: 12.4% vs M: 2.4%; P< .01) and had higher rates of vasopressor use (F: 70.8% vs M: 58.0%; P = .04) and mechanical circulatory support (F: 46.1% vs M: 32.5%; P = .04). There were no sex-related differences in in-hospital mortality for AMI-CS (F: 45.2% vs M: 36.9%; P = .28) and HF-CS (F: 28.1% vs M: 24.5%; P = .56). Women with HF-CS experienced higher rates of major bleeding (F: 25.8% vs M: 13.7%; P = .02) and vascular complications (F: 15.7% vs M: 6.1%; P = .01). However, female sex was not an independent predictor of these complications. No sex differences in survival were noted at 1 year. Conclusions: Within an STBA, although women with AMI-CS and HF-CS presented with higher acuity, they experienced similar in-hospital mortality, major adverse cardiac events, 30-day mortality, stroke, and 30-day readmissions as men. Further research is needed to better understand the extent to which historical differences in CS outcomes can be mitigated by an STBA.

Exercise Training, Cardiac Biomarkers, and Cardiorespiratory Fitness in Type 2 Diabetes: The HART-D Study.

Background: High-sensitivity cardiac troponin T (hs-cTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) are cardiac biomarkers commonly detected in adults with type 2 diabetes (T2D) and are associated with heart failure risk. Objectives: The purpose of this study was to evaluate the effects of exercise training (ET) on hs-cTnT and NT-proBNP and evaluate the associations of these biomarkers with cardiorespiratory fitness among adults with T2D. Methods: Participants of the HART-D (Health Benefits of Aerobic and Resistance Training in Individuals with Type 2 Diabetes) trial who were randomly assigned to one of 3 ET groups or a non-exercise control group were included. Cardiac biomarkers and cardiorespiratory fitness (evaluated by peak oxygen uptake [VO2peak]) were assessed at baseline and after 9 months. The effects of ET (3 ET groups pooled) vs non-exercise control on hs-cTnT and NT-proBNP were assessed using separate analysis of covariance models. Multivariable-adjusted linear regression was performed to identify factors associated with follow-up biomarkers and ΔVO2peak. Results: The present study included 166 participants randomized to the ET (n = 135) and non-exercise control (n = 31) groups. Compared with the non-exercise control, ET did not significantly change hs-cTnT or NT-proBNP. In adjusted analysis, each ET group and ΔVO2peak were not significantly associated with hs-cTnT or NT-proBNP levels on follow-up. Among individuals in the ET group, baseline hs-cTnT was inversely associated with ΔVO2peak [per 1 SD higher log (hs-cTnT): ß = -0.08 (95% CI = -0.15 to -0.01)]. Conclusions: Among individuals with T2D, ET did not modify cardiac biomarkers. Higher baseline hs-cTnT was associated with blunted cardiorespiratory fitness improvement in response to exercise.