Herrmann, Joerg

Abstract Background Anthracyclines (ACs) are a risk factor for heart failure (HF), but their impact on broader composite outcomes such as major adverse cardiovascular events (MACE) remain less well characterized. From the Rochester Epidemiology Project, we identified patients with breast cancer or lymphoma to assess for association between AC use and MACE in these patients with > 25 years of follow-up. Methods We identified patients with cancer, with or without an AC as first-line treatment, and a control group of individuals without cancer, matched by age, sex, and cardiovascular comorbid conditions to the cancer patients. Outcomes of interest were 3-MACE (myocardial infarction, stroke, and cardiovascular death), and 4-MACE (3-MACE plus HF). Cox regression analysis was used to identify variables associated with MACE at 5, 10, and 25 years of follow-up. Results Of 812 patients with cancer, 675 had AC treatment (AC group) and 137 did not (no-AC group); the control group comprised 1,384 matched patients without cancer. The risk of 3-MACE was similar among the 3 groups at all time points. Older age, male sex, and hypertension were associated with 3-MACE. The risk of 4-MACE was similar between the control and no-AC groups; the risk was increased for the AC group vs controls at all time points. Older age, male sex, smoking history, type 2 diabetes, and hypertension were associated with 4-MACE. Conclusions Cardiovascular risk factors are the main drivers of 3-MACE and ACs increase the risk of 4-MACE given their association with HF. This underscores the importance of implementing lifestyle changes among these patients.

Background Strategies to estimate risk of cancer therapy‐related cardiac dysfunction (CTRCD) before initiating cardiotoxic cancer treatment are needed. We hypothesized that baseline ECG markers could identify patients at risk for CTRCD. Methods and Results In this retrospective cohort study, 1278 female patients with stage I–III HER2 (human epidermal growth factor receptor 2)‐positive breast cancer meeting the following inclusion criteria were included: baseline ECG with QRS <120 milliseconds, baseline echocardiogram, and ≥1 follow‐up echocardiogram. Quantitative measurements of ECG waveform parameters were performed using MUSE (GE Healthcare). The primary outcome of interest was CTRCD at 1 year, defined by left ventricular ejection fraction decline (≥10% to <53% or ≥16% from baseline), or clinical heart failure (New York Heart Association class III/IV). Mean age was 51.7±11.1 years, 990 (77%) received anthracyclines, and all received HER2‐targeted therapy. CTRCD occurred in 160 (13%) patients. In a multivariable Cox proportional hazards model adjusting for our previously published CTRCD risk score (composed of patient and treatment‐specific factors), 4 ECG markers remained independently associated with CTRCD risk: QRS axis, R‐wave duration (lead II), ST segment deviation (lead II), and Sokolow–Lyon voltage (all P <0.05). Compared with a model using only clinical CTRCD risk variables, addition of ECG parameters provided incremental value for predicting CTRCD risk ( P <0.001, likelihood ratio test) with continuous net reclassification improvement of 34.9% and integrated discrimination improvement of 3.4%. Conclusions Baseline ECG variables are predictive of subsequent CTRCD and provide incremental value to established clinical risk factors for CTRCD risk classification.

Abstract Purpose To assess incidence and risk factors for anthracycline-induced left ventricular dysfunction, and associated mortality in order to inform patients and providers of the risk, as well as for clinical trial endeavours. Background Anthracyclines (ACs) are very effective cancer therapeutics, but their use is confronted by the risk of cardiotoxicity. Estimates of AC-induced cardiotoxicity based on systematic analyses are limited and have not recently been defined. We present here a systematic review and meta-analysis of the incidence of anthracycline induced subclinical (AC-LVD) and clinical LV dysfunction (AC-CHF) and AC-CHF related mortality in non-liposomal AC recipients over the last 3 decades. Methods We searched Ovid MEDLINE(R), Embase, Cochrane Database and other major databases from their inception until June 22, 2023 for studies examining the rate of AC induced cardiomyopathy in patients receiving ACs and anthraquinones for haematologic, breast (BC) and sarcomatous malignancies. Covidence was used to aid with the management of our systematic review. Screening of abstracts and data extraction was independently performed by 2 reviewers. Results 6,365 abstracts were reviewed, of which 74 were included in the final analysis. 72 studies (n=41,138) reported data on AC-LVD, and 47 studies (n=27,012) reported data on AC-CHF. The average age was 53 years and 50% of the patients were female. Data on cardiac function at baseline was available in only 70% of the studies. Overall, AC-LVD occurred in 8.2% (95% CI 6.8%-10.2% I2 97%) (Fig 1). AC-CHF was noted in 2.2% (95% CI 1.6% to 2.9%, I2 91%) (Fig 2A), mortality related to decompensated AC-CHF was 0.5% (95% CI 0.3%-0.9%, I2 88%) (Fig 2B) while total mortality rate among AC recipients was 24.9% (95% CI 14.8-38.7%, I2 99%). Incidence of AC-LVD was higher in doxorubicin recipients (vs other ACs 10.5% vs 5-5.6%), studies from North America & Asia (vs other regions; 9.3-9.6% vs 6.7%), and prospective studies (vs retrospective studies; 8.7% vs 7.5%). AC-LVD was more common in BC patients (vs other cancers; 8.7% vs 3.5-7.2%) while AC-CHF was more common in lymphoma patients (8.5% vs 1.6-4.1%). AC-LVD was 4.6 times (95% CI 1.2-17.1, p=0.02) more likely in patients with a mean age &gt;70 (vs &lt;70). 21 definitions for AC-LVD were used across the studies. The most common definition (15 studies; n=7904) was "any decline in LVEF from baseline" resulting in a 5.8% rate of AC-LVD. Conclusions AC-LVD and AC-CHF has been reported in up to 10% and 3% of AC recipients, respectively. AC-CHF related mortality occurs in &lt;1% of anthracycline recipients and has a 2-3% share in overall mortality among these patients. The type of malignancy and anthracycline can influence the rate of AC-LVD, AC-CHF and AC-CHF related mortality. Global region, age of the patient population and study design also seem to influence incidence rates. There is noteworthy heterogeneity in definitions for cardiotoxicity across studies.

Abstract Background Concern for acute kidney injury (AKI) after percutaneous coronary intervention (PCI) is a major determinant in the decision to pursue cardiac catheterization if otherwise indicated. A bedside AKI risk prediction model derived from the National Cardiovascular Data Registry (NCDR), most recently updated in 2023, employs relatively complex parameters for AKI prediction. Purpose To test the efficacy of a simplified pre-procedural 5-variable bedside score for post-PCI AKI prediction based on the NCDR model. Methods We analyzed our institution’s NCDR-reported catheterization laboratory registry between Q2 2022 and Q1 2023. Inclusion criteria, variable selection, and definitions were based on the NCDR model. A bedside prediction model was validated, including 5 pre-procedural variables: anemia (hemoglobin &lt;10 mg/dl), history of heart failure, stage 4 or 5 chronic kidney disease (glomerular filtration rate &lt;30 mg/dl), cardiac arrest, and shock status. Results We included 840 patients, of which 593 (70.6%) were men. Mean age was 69 (±12.5). Most procedures were performed on an urgent basis (444, 52.9%). AKI developed in 107 (12.7%) patients. Compared to the non-AKI group, patients who developed AKI were older (age 74±11.5 vs 68.3 ±12.5), and more frequently had anemia (23.6% vs 7.4%), diabetes (51.4% vs 35.2%), severe frailty (45.8% vs 23.7%), heart failure (62.6% vs 29.7%), cardiac arrest (13.1% vs 2.9%), CKD (30.8% vs 6%), shock (12.1% vs 1.5%), and mechanical circulatory support (7.5% vs 2.9%), p&lt;0.001. Utilizing integer scores, the simplified bedside model employing 5 pre-procedural variables demonstrated discrimination similar to the bedside NCDR model, with a C-statistic of 0.77 (0.60-0.88) and excellent calibration (intercept of 0.31 and slope of 1.03) (Figure), indicating the robust performance of the model (compared to bedside NCDR model with a C-statistic 0.793, intercept of -0.197, and slope of 0.957). Conclusion A simplified NCDR-based bedside score using 5 pre-procedural variables is an effective tool for predicting AKI as a complication of PCI, with comparable performance to the 2023 updated bedside NCDR AKI risk model.

Abstract Aims Radiation therapy (RT) is an integral component of cancer therapy but associated with adverse events. Our goal was to establish risk prediction models for major adverse cardiovascular and cerebrovascular events (MACCE) after chest RT. Methods and results A retrospective study of lung/breast cancer patients who had chest RT with planning CT at Mayo Clinic between 01/2010 and 01/2014. Predictive models were developed based on weighted independent predictors using a derivation (406 lung and 711 breast cancer) and validation cohort (179 lung and 234 breast cancer). Patient characteristics, pre-RT CT for coronary artery calcification (CAC), and post-RT MACCE data were reviewed. Post-RT MACCE occurred in 6.1 and 5.6% in the derivation and validation cohort over a mean follow-up of 42 ± 13 months. Post-therapy model (C2AD2) included CAC (two points), MACCE history (two points), age ≥74 (three points), DM (two points), and mean heart radiation dose ≥ 850 mGy (two points), and pre-therapy model (C2AD) included post-therapy model parameters minus mean heart radiation dose. Both models stratified patients into three risk groups: low (0–2), intermediate (3–5), and high (≥6). Post-RT MACCE across these groups were 2.7, 8.9, and 19.8% in the derivation, and 3.9, 6.6, and 16.4% in the validation cohort for post-therapy model (C2AD2) and 2.8, 9.2, and 20.4% in the derivation and 3.7, 9.2, and 13.2% in the validation cohort for pre-therapy model. Both models showed statistically significant graded survival outcome. Conclusion Post-therapy (C2AD2) and pre-therapy (C2AD) models are simple, easy to use and effective tools to stratify breast and lung cancer patients undergoing chest radiation for post-RT MACCE.

ImportanceImmune checkpoint inhibitors (ICIs) improve outcomes in a wide range of cancers; however, serious adverse effects, including cardiovascular adverse effects (CVAEs), can occur.ObjectiveTo determine the incidence of CVAEs and analyze data on the management of myocarditis in patients exposed to ICIs.Data SourcesPubMed, Embase, and Cochrane Central Register of Controlled Trials from inception were searched on April 4, 2023.Study SelectionTwo separate studies were performed. Key inclusion criteria for study 1 were phases 1 to 4 trials involving adults with malignant neoplasms treated with an ICI and toxicity data; for study 2, publications (case reports and retrospective analyses) on clinical manifestations and treatment of patients with ICI-induced CVAEs. Studies with dose escalation or fewer than 11 patients in each group and all case reports, retrospective analyses, letters, reviews, and editorials were excluded from study 1. Studies not published in English were excluded from study 2.Data Extraction and SynthesisThe PRISMA guidelines and Cochrane Handbook for Systematic Reviews were followed. Data were extracted independently by 2 researchers. A meta-analysis of the incidence of CVAEs in clinical trials and a systematic review of the evidence for the management of myocarditis were performed. Data were pooled using a random-effects model.Main Outcomes and MeasuresIn study 1, the primary outcome was incidence CVAEs in clinical trials with ICIs and ICI combination therapies. Study 2 examined evidence supporting specific management strategies that may decrease the mortality rate of myocarditis. The primary outcomes were planned before data collection began.ResultsIn study 1, a total of 83 315 unique participants in 589 unique trials were included in the meta-analysis. Incidence of CVAEs induced by anti–programmed cell death 1 and/or programmed cell death ligand 1 was 0.80% (95% CI, 0%-1.66%) in clinical trials, with no differences between the compounds, except for cemiplimab, which was associated with a higher risk of CVAEs. Incidence of CVAEs following ipilimumab treatment was 1.07% (95% CI, 0%-2.58%). The incidence of myocarditis was significantly higher following treatment with dual ICIs. However, CVAE incidence was not higher with dual ICIs, ICI combination with chemotherapy, or tyrosine kinase inhibitors. Evidence from randomized clinical trials on recommended monitoring and treatment strategies for ICI-induced myocarditis was lacking. Study 2 showed that myocarditis-associated mortality occurred in 83 of 220 patients (37.7%). Prospective data from 40 patients with myocarditis indicated that systematic screening for respiratory muscle involvement, coupled with active ventilation, prompt use of abatacept, and the addition of ruxolitinib, may decrease the mortality rate.Conclusions and RelevanceImmune checkpoint inhibitor–induced CVAEs and/or myocarditis were recorded in 1.07% of patients in clinical trials. The CVAE mortality risk remains high, justifying the need for monitoring and management strategies for which evidence from randomized clinical trials is absent. Early recognition, ICI therapy cessation, prompt initiation of corticosteroid therapy, and escalation of therapy are all crucial elements for achieving optimal outcomes. Prospective clinical trials or at least prospective registration of treatments and outcomes are highly warranted.