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Daily Report

Daily Cardiology Research Analysis

10/15/2025
3 papers selected
3 analyzed

Three impactful cardiology studies advanced risk stratification and therapeutic decision-making. A UK Biobank analysis linked atrial cardiomyopathy markers to incident atrial fibrillation, heart failure, and stroke with meaningful reclassification. A large trial emulation using causal machine learning found GLP-1 receptor agonists associate with lowest 2.5-year MACE risk versus SGLT2 inhibitors, sulfonylureas, and DPP4 inhibitors. Dark-blood CMR detection of papillary muscle scarring independent

Summary

Three impactful cardiology studies advanced risk stratification and therapeutic decision-making. A UK Biobank analysis linked atrial cardiomyopathy markers to incident atrial fibrillation, heart failure, and stroke with meaningful reclassification. A large trial emulation using causal machine learning found GLP-1 receptor agonists associate with lowest 2.5-year MACE risk versus SGLT2 inhibitors, sulfonylureas, and DPP4 inhibitors. Dark-blood CMR detection of papillary muscle scarring independently predicted cardiac death in dilated cardiomyopathy, adding incremental prognostic value.

Research Themes

  • Imaging-based cardiac substrate markers for prognosis
  • Causal machine learning in comparative effectiveness for cardiometabolic care
  • Risk reclassification and clinical decision support

Selected Articles

1. Prognostic Value of Papillary Muscle Scarring in Patients With Dilated Cardiomyopathy.

76Level IICohort
JAMA cardiology · 2025PMID: 41091460

In 470 patients with dilated cardiomyopathy, dark-blood delayed-enhancement CMR detected papillary muscle scarring in 29%. PapSCAR independently predicted cardiac mortality (adjusted HR 1.86), heart failure events, and arrhythmic events, providing incremental prognostic value beyond age, blood pressure, heart rate, LVEF, and midwall scar.

Impact: Demonstrates a readily imageable myocardial substrate that refines risk stratification in DCM beyond traditional parameters and standard LGE patterns.

Clinical Implications: Incorporating dark-blood delayed-enhancement CMR to assess papillary muscle scarring may improve risk stratification for cardiac death, heart failure events, and malignant arrhythmias in DCM, potentially informing ICD decisions and follow-up intensity.

Key Findings

  • Papillary muscle scarring was present in 29.1% of DCM patients using dark-blood delayed-enhancement CMR.
  • PapSCAR independently predicted cardiac death (adjusted HR 1.86; 95% CI 1.07-3.24) beyond age, SBP, HR, LVEF, and midwall scar.
  • PapSCAR was independently associated with heart failure events (HR 2.05) and arrhythmia events (HR 3.41), adding incremental prognostic value (Δχ2=4.68).

Methodological Strengths

  • Use of flow-independent dark-blood LGE (FIDDLE) to enhance papillary muscle scar detection
  • Prospective cohort with long follow-up and multivariable adjustment including midwall scar

Limitations

  • Single-center cohort limits generalizability
  • Observational design cannot prove causality; external validation not reported

Future Directions: Validate papSCAR prognostic utility across diverse cohorts and evaluate whether papSCAR-guided management (e.g., surveillance, ICD strategies) improves outcomes.

IMPORTANCE: Papillary muscle scarring (papSCAR) can occur without epicardial coronary artery disease, likely due to microvascular dysfunction. Dilated cardiomyopathy (DCM) has been associated with microvascular dysfunction; the prevalence and prognostic significance of papSCAR in patients with DCM are unclear. OBJECTIVE: To determine the prevalence of papSCAR in patients with DCM and to evaluate if papSCAR is associated with adverse outcomes. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted among consecutive patients with known or suspected DCM prospectively enrolled at an academic hospital in North Carolina from January 2011 to December 2020. Patients were referred for cardiovascular magnetic resonance (CMR) imaging, and the study protocol included flow-independent dark blood delayed-enhancement (FIDDLE) imaging, which improves the detection of papSCAR. Data were analyzed from January 2022 to December 2022. MAIN OUTCOMES AND MEASURES: The primary end point was cardiac mortality. Secondary end points included a composite of heart failure events (heart failure death or cardiac transplant) and a composite of arrhythmia events (sudden cardiac death [SCD] or aborted SCD). RESULTS: This cohort study included 470 patients (mean [SD] age, 55.3 [14.3] years; 205 female patients [43.6%]). During up to 8 years of follow-up (2082 patient-years), there were 53 cardiac deaths, 49 heart failure events, and 24 arrhythmia events. PapSCAR was present in 137 patients (29.1%), and mean (SD) left ventricular ejection fraction (LVEF) was similar between those with and without papSCAR (30.7% [11.0%] vs 31.4% [10.3%]; P = .52). Patients with papSCAR had a higher rate of cardiac death than those without (19.0% vs 8.1%; hazard ratio [HR], 2.30; 95% CI, 1.34-3.95; P = .002). After adjustment for prespecified variables known to have prognostic value in DCM (age, systolic blood pressure, heart rate, LVEF, and midwall myocardial scar), papSCAR was independently associated with cardiac death (HR, 1.86; 95% CI, 1.07-3.24; P = .03) and provided incremental prognostic value (incremental χ2, 4.68; P = .03). PapSCAR was also independently associated with heart failure events (HR, 2.05; 95% CI, 1.16-3.61; P = .01) and arrhythmia events (HR, 3.41; 95% CI, 1.46-7.94; P = .005). CONCLUSIONS AND RELEVANCE: In this single-center cohort study, papSCAR as detected by dark blood delayed-enhancement CMR was present in approximately one-third of patients with DCM and was independently associated with cardiac death.

2. Glucose-Lowering Medication Classes and Cardiovascular Outcomes in Patients With Type 2 Diabetes.

75.5Level IICohort
JAMA network open · 2025PMID: 41091469

In a 241,981-patient emulated 4-arm trial using targeted learning, sustained GLP-1RA exposure was associated with the lowest 2.5-year MACE risk, followed by SGLT2 inhibitors, sulfonylureas, and DPP4 inhibitors. Benefits of GLP-1RA over SGLT2i were most pronounced in older adults and those with baseline ASCVD, heart failure, or mild-to-moderate kidney impairment.

Impact: Provides robust real-world comparative effectiveness evidence across four glucose-lowering classes using modern causal inference, informing cardiovascular risk-focused therapy selection in T2D.

Clinical Implications: For adults with T2D, particularly older patients and those with ASCVD/HF or modest CKD, prioritizing GLP-1RA (and SGLT2i as next) may minimize MACE risk over 2.5 years, while individualizing by cost, access, weight and renal benefits.

Key Findings

  • Sustained GLP-1RA exposure yielded the lowest 2.5-year MACE risk; next were SGLT2i, sulfonylureas, and DPP4i.
  • Risk difference: DPP4i vs sulfonylureas 1.9% (95% CI 1.1%-2.7%); SGLT2i vs GLP-1RA 1.5% (1.1%-1.9%).
  • GLP-1RA advantage over SGLT2i was greatest in baseline ASCVD/HF, age ≥65, or low–moderate kidney impairment; not evident <50 years.

Methodological Strengths

  • Trial emulation with targeted learning and machine learning to reduce confounding
  • Large, multi-system cohort with heterogeneity of treatment effects analysis

Limitations

  • Observational design susceptible to residual confounding and treatment switching
  • Follow-up limited to 2.5 years; adherence and dosing nuances not fully captured

Future Directions: Head-to-head randomized trials and pragmatic implementation studies to confirm class hierarchy across risk strata and evaluate cost-effectiveness and patient-centered outcomes.

IMPORTANCE: Major adverse cardiovascular events (MACEs) are primary causes of morbidity and mortality in adults with type 2 diabetes (T2D), yet few head-to-head randomized trials have compared the effects of glucose-lowering medications on MACEs, and most observational analyses are limited by inadequate bias adjustment methods. OBJECTIVE: To compare the effectiveness of sustained exposure to 4 classes of glucose-lowering medications (sulfonylureas, dipeptidyl peptidase-4 inhibitors [DPP4is], sodium-glucose cotransporter-2 inhibitors [SGLT2is], and glucagon-like peptide-1 receptor agonists [GLP-1RAs]) on MACEs in US adults with T2D using modern causal methods combined with machine learning. DESIGN, SETTING, AND PARTICIPANTS: This comparative effectiveness study included adults with T2D who were members of 6 large US health care delivery systems and initiated treatment with 1 of 4 medication classes (sulfonylureas, DPP4is, SGLT2is, and GLP-1RAs) between January 1, 2014, and December 31, 2021. Data analysis was conducted from May 1 to December 31, 2024. EXPOSURE: New use of a sulfonylurea, DPP4i, SGLT2i, or GLP-1RA based on filled prescriptions. MAIN OUTCOMES AND MEASURES: The primary outcome was MACEs defined as nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. Analyses were conducted using targeted learning within a trial emulation framework. Heterogeneity of treatment effects was assessed for prespecified subgroups. RESULTS: This study included 296 676 adults. The cohort for emulating a 4-arm trial included a subset of 241 981 adults (mean [SD] age, 57.2 [12.9] years; 54.3% male) with T2D. In adjusted analyses, 2.5-year MACE risk was lowest in patients with sustained exposure to GLP-1RAs, followed by SGLT2is , sulfonylureas, and DPP4is. Comparing DPP4is with sulfonylureas and SGLT2is with GLP-1RAs, the 2.5-year cumulative risk difference was 1.9% (95% CI, 1.1%-2.7%) and 1.5% (1.1%-1.9%), respectively. Risk differences in patients with vs without atherosclerotic cardiovascular disease (ASCVD) were similar in direction but typically much smaller for patients without ASCVD. Evidence of a benefit of GLP-1RAs over SGLT2is was most pronounced in patients with baseline ASCVD or heart failure (HF), age 65 years or older, or low to moderate kidney impairment but was not found in patients younger than 50 years. CONCLUSIONS AND RELEVANCE: In this study, MACE risk varied significantly by medication class, with most protection achieved with sustained treatment with GLP-1RAs followed by SGLT2is, sulfonylureas, and DPP4is. The magnitude of benefit of GLP-1RAs over SGLT2is depended on baseline age, ASCVD, HF, and kidney impairment. These results, along with consideration of cost, availability, and collateral clinical benefits, may inform treatment decisions for adults with T2D.

3. Atrial cardiomyopathy: markers and outcomes.

73Level IICohort
European heart journal · 2025PMID: 41092306

In 26,467 UK Biobank participants, atrial cardiomyopathy markers (LA dilation/mechanical dysfunction, P-wave abnormalities) were present in 15.7% and associated with incident AF (HR 1.88; ≥2 markers HR 4.59), as well as HF (HR 3.08) and stroke (HR 3.07). Adding AtCM markers improved AF risk reclassification (NRI 13.7%) and effects were additive with clinical and polygenic risk.

Impact: Establishes AtCM markers as a common substrate linking AF, HF, and stroke and demonstrates incremental risk reclassification, supporting broader screening and integrated risk models.

Clinical Implications: Incorporating simple CMR/ECG-based AtCM markers into AF risk models can refine risk estimation and may inform preventive strategies for AF, HF, and stroke; integration with polygenic risk may further personalize care.

Key Findings

  • At least one AtCM marker was present in 15.7% of participants; ≥2 markers in 2.3%.
  • AtCM markers were associated with incident AF (HR 1.88; ≥2 markers HR 4.59) and improved AF risk reclassification (NRI 13.7%).
  • Having ≥2 markers was associated with incident HF (HR 3.08) and stroke (HR 3.07), supporting AtCM as a substrate for multiple outcomes.

Methodological Strengths

  • Large imaging-genotype cohort with standardized CMR/ECG markers
  • Multivariable Cox and NRI analyses with integration of clinical and polygenic risk

Limitations

  • Observational UK Biobank cohort may have selection bias and limited generalizability
  • Marker definitions and thresholds may vary and require external validation

Future Directions: Prospective validation of AtCM-guided prevention strategies and randomized trials testing targeted interventions in high AtCM burden subgroups.

BACKGROUND AND AIMS: Atrial cardiomyopathy (AtCM) is increasingly recognized as an important substrate for atrial fibrillation (AF). This study aimed to examine potential markers and risk factors of AtCM, and associations with incident AF, heart failure (HF), and stroke. METHODS: Individuals from the UK Biobank with cardiac magnetic resonance imaging and electrocardiographic information were included. Atrial cardiomyopathy markers included left atrial dilation, left atrial mechanical dysfunction, P-wave prolongation, and abnormal P-wave terminal force. Risk factors for AtCM were assessed using logistic regressions. Incident AF, HF, and stroke according to AtCM markers were assessed in multivariable Cox-regression and cumulative incidence models. AF risk according to AtCM markers, clinical and genetic risk factors was evaluated by integrating the HARMS2-AF score and a polygenic risk score for AF. We used net reclassification improvement (NRI) to evaluate reclassification of risk when considering AtCM markers. RESULTS: Among 26 467 individuals, 4145 (15.7%) had ≥1 marker and 619 (2.3%) had ≥2 markers of AtCM. Age, coronary artery disease, and hypertension were consistently associated with AtCM. Having one AtCM marker conferred a hazard ratio (HR) for AF of 1.88 [95% confidence interval (CI): 1.54-2.31; P < .001], with higher rates observed in individuals with ≥2 markers (HR: 4.59; 95% CI: 3.52-5.99; P < .001). Addition of AtCM markers was associated with an NRI of 13.7% (95% CI: 9.2%-18.3%). Integration of clinical and genetic risk factors indicated an additive effect on AF rates. Having ≥2 markers associated with HF (HR: 3.08, 95% CI: 2.03-4.66, P < .001), and stroke (HR: 3.07, 95% CI: 1.78-5.28, P < .001). CONCLUSIONS: One in seven individuals had at least one marker of AtCM. Atrial cardiomyopathy markers were associated with AF, HF, and stroke, supporting AtCM as a common substrate for all three outcomes.