Evaluation of Risk Prediction Models to Identify Cancer Therapeutics Related Cardiac Dysfunction in Women with HER2+ Breast Cancer

Cardio-oncology: chances and challenges

Cardio-oncology is an emerging field that aims to ensure optimal cancer treatment while minimising cardiovascular toxicity. The management of cardiovascular toxicity is critical because it can lead to premature discontinuation of treatment, increasing the risk of cancer recurrence and mortality. The 2022 European Society of Cardiology guidelines were a milestone in advocating a patient-centred, multidisciplinary approach. Key components include risk stratification and a standardised criterion for adverse events, incorporating definitions from the International Cardio-Oncology Society. Effective risk stratification, supported by imaging and biomarkers, helps to anticipate cardiovascular problems and implement preventive measures. Future research should focus on understanding mechanisms, developing preventive strategies and implementing personalised medicine. Education and reducing disparities in care are essential to advance cardio-oncology and improve patient outcomes.

Coronary artery calcium score and other risk factors in patients at moderate and high risk of cancer therapy-related cardiovascular toxicity

BACKGROUND

The presence and burden of coronary artery calcium (CAC) is a strong predictor of cardiovascular events. Current guidelines of the European Society of Cardiology (ESC) for cardio-oncology do not recommend the use of the CAC score to determine the status of risk in cancer patients. The aim of this study is to evaluate the presence and burden of CAC on cardiac tomography and the distribution of the cardiovascular toxicity risk factors in patients with moderate and high baseline risk of cancer therapy-related cardiovascular toxicity.

METHODS

The study prospectively included cancer patients, diagnosed and qualified for systemic treatment with anthracycline chemotherapy. Clinical data and blood samples were collected from all patients. Additionally, the echocardiography and coronary computed tomography (CCTA) with the calculation of the coronary artery calcium (CAC) score were performed.

RESULTS

A total of 80 patients (mean age 60.5 years, 75 female) were included in the study. The majority of patients (62, 77.5%) had breast cancer, 11 (13.8%) were diagnosed with sarcoma, and 7 (8.8%) with lymphoma. There were 42 (52.5%) patients classified as having moderate (MR) and 38 (47.5%) as having high risk (HR) of cancer therapy-related cardiovascular toxicity according to current ESC guidelines. In comparison with moderate risk, high risk patients were older and more likely to have hypertension, hyperlipidaemia and chronic kidney disease. The mean coronary artery calcium score was significantly higher in the HR group (150.4 vs. 24.8; p = 0.000). Furthermore, cardiac biomarkers were also higher in high-risk patients (p = 0.000). In echocardiographic parameters global longitudinal strain (GLS) was lower (p = 0.012), and diastolic dysfunction was more common in the HR group. However, the left ventricle ejection fraction (LVEF) was similar in the MR and HR groups.

CONCLUSIONS

In patients at high and moderate risk for cancer therapy-related cardiovascular toxicity, cardiovascular toxicity risk factors were common and more prevalent in the high-risk group. The coronary artery calcium score was also significantly higher in the high-risk group. Assessing the presence and burden of coronary artery calcium is an attractive option to assess additional cardiovascular risk in cancer patients.

Breast cancer and cardiovascular health

Modern cancer therapies greatly improve clinical outcomes for both early and advanced breast cancer patients. However, these advances have raised concerns about potential short- and long-term toxicities, including cardiovascular toxicities. Therefore, understanding the common risk factors and underlying pathophysiological mechanisms contributing to cardiovascular toxicity is essential to ensure best breast cancer outcomes. While cardio-oncology has emerged as a sub-speciality to address these challenges, it is essential that all cardiologists recognize and understand the cardiovascular consequences of cancer therapy. This review aims to provide a comprehensive overview of the potential adverse cardiovascular effects associated with modern breast cancer therapies. A preventive, diagnostic, and therapeutic workflow to minimize the impact of cardiovascular toxicity on patient outcomes is presented. Key aspects of this workflow include regular monitoring of cardiovascular function, early detection and management of cancer therapy-related cardiovascular toxicities, and optimization of cardiovascular risk factor control. By highlighting the gaps in knowledge in some areas, this review aims to emphasize the critical role of cardio-oncology research in ensuring the holistic well-being of patients with breast cancer.

Cancer Therapy-Related Cardiac Dysfunction: Strategies for Enhancing Cardiac Recovery

Chemotherapy has markedly improved cancer outcomes, yet cancer therapy-related cardiac dysfunction (CTRCD) poses a significant challenge, affecting around 10% of patients. CTRCD can be asymptomatic or present with heart failure symptoms. Multimodality imaging, particularly echocardiography, remains pivotal for monitoring cardiac function. Potential biomarkers for CTRCD assessment include troponin and B-type natriuretic peptide. Pharmacological interventions, such as dexrazoxane, angiotensin-converting enzyme inhibitors, and statins, play a crucial role in primary prevention and mitigating cardiotoxicity alongside cardiac rehabilitation programs. Thus, a comprehensive approach is essential for optimal cardiac recovery and improved patient outcomes.

Chemotherapy Related Cardiotoxicity Evaluation-A Contemporary Review with a Focus on Cardiac Imaging

The long-term survivorship of patients diagnosed with cancer has improved due to accelerated detection and rapidly evolving cancer treatment strategies. As such, the evaluation and management of cancer therapy related complications has become increasingly important, including cardiovascular complications. These have been captured under the umbrella term "cardiotoxicity" and include left ventricular dysfunction and heart failure, acute coronary syndromes, valvular abnormalities, pericardial disease, arrhythmia, myocarditis, and vascular complications. These complications add to the burden of cardiovascular disease (CVD) or are risk factors patients with cancer treatment are presenting with. Of note, both pre- and newly developing CVD is of prognostic significance, not only from a cardiovascular perspective but also overall, potentially impacting the level of cancer therapy that is possible. Currently, there are varying recommendations and practices regarding CVD risk assessment and mitigating strategies throughout the cancer continuum. This article provides an overview on this topic, in particular, the role of cardiac imaging in the care of the patient with cancer. Furthermore, it summarizes the current evidence on the spectrum, prevention, and management of chemotherapy-related adverse cardiac effects.

Arterial Stiffness May Predict Subsequent Cancer Therapy-Related Cardiac Dysfunction in Breast Cancer Patients

Cancer therapy-related cardiac dysfunction (CTRCD) is still a serious problem. Existing risk scores are insufficient for risk classification, especially in low and medium-risk patients. This study aims to evaluate if arterial stiffness (AS) measurement, which is associated with most of the known risk factors, can be a useful parameter for predicting subsequent CTRCD in patients with breast cancer (BC). Patients with BC were included in the study. All patients' AS parameters such as pulse wave velocity (PWV), augmentation index (AIx), augmentation pressure (AP), and echocardiographic parameters were obtained before treatment. During treatment, echocardiographic follow-up with routine parameters and left ventricle global longitudinal strain (LVGLS) were measured. Patients were evaluated on whether CTRCD occurred or not. A total of 67 patients were analyzed. The mean age of the study population was 54.9 ± 11 years. Baseline characteristics were similar except for age. No CTRCD diagnosis was obtained according to left ventricle ejection fraction (LVEF) reduction, but 18 patients (26.8%) developed CTRCD regarding the decline in LVGLS. Left ventricle hypertrophy and diastolic dysfunction were more frequent in patients with CTRCD (p = 0.016 and p = 0.015, respectively). PWV, AIx, and AP as AS parameters were significantly higher in patients with CTRCD, but Alx@75 were not (p = 0.005, p = 0.034, p = 0.008, p = 0.077, respectively). A positive correlation between PWV and a decreased percent in LVGS (R = 0.607, p < 0.001) was observed. ROC curve analyses revealed an AUC of 0.747 (p = 0.02, 95% CI 0.632-0.832) for PWV. A PWV value of 9.2 m/s predicted CTRCD with 94% sensitivity and 73% specificity. AS measurement may be useful for predicting CTRCD in patients with low to medium-risk BC.

Artificial intelligence-enabled prediction of chemotherapy-induced cardiotoxicity from baseline electrocardiograms

Anthracyclines can cause cancer therapy-related cardiac dysfunction (CTRCD) that adversely affects prognosis. Despite guideline recommendations, only half of the patients undergo surveillance echocardiograms. An AI model detecting reduced left ventricular ejection fraction from 12-lead electrocardiograms (ECG) (AI-EF model) suggests ECG features reflect left ventricular pathophysiology. We hypothesized that AI could predict CTRCD from baseline ECG, leveraging the AI-EF model's insights, and developed the AI-CTRCD model using transfer learning on the AI-EF model. In 1011 anthracycline-treated patients, 8.7% experienced CTRCD. High AI-CTRCD scores indicated elevated CTRCD risk (hazard ratio (HR), 2.66; 95% CI 1.73-4.10; log-rank p < 0.001). This remained consistent after adjusting for risk factors (adjusted HR, 2.57; 95% CI 1.62-4.10; p < 0.001). AI-CTRCD score enhanced prediction beyond known factors (time-dependent AUC for 2 years: 0.78 with AI-CTRCD score vs. 0.74 without; p = 0.005). In conclusion, the AI model robustly stratified CTRCD risk from baseline ECG.

The added value of the HFA/ICOS score in the prediction of chemotherapy-related cardiac dysfunction in breast cancer

BACKGROUND

The 2022 ESC Guidelines on Cardio-Oncology recommend baseline cardiovascular risk stratification before starting anticancer drugs, using the new risk assessment tools proposed by the Heart Failure Association (HFA) and the International Cardio-Oncology Society (ICOS).Our study aimed to assess the clinical application of HFA/ICOS risk score in breast cancer patients undergoing chemotherapy and its usefulness in predicting the development of chemotherapy-related cardiac dysfunction (CTRCD).

METHODS

A prospective multicentric study enrolled 109 breast cancer patients treated with anthracyclines with or without trastuzumab. A cardiological evaluation, including ECG and echocardiogram at baseline (T0), 3 (T1), 6 (T2), and 12 months (T3) after starting treatment was performed. HFA/ICOS score was assessed in all patients. The population was divided into low, medium, high, and very-high risk.During follow-up, CTRCD and other cardiovascular events have been evaluated.

RESULTS

61 patients were low risk, 37 medium, 9 high, 2 very-high risk criteria. We found a significantly higher incidence of overall cardiotoxicity (CTRCD and other cardiovascular events) in the very-high risk group (100%) compared with the medium (29%) and low risk groups (13%). CTRCD incidence was also significantly higher in the high risk group (55%). CTRCD resulted as being associated with baseline arterial hypertension and baseline HFA/ICOS risk score of high ( p  = 0.006) or very-high ( p  < 0.0001).

CONCLUSION

Our study confirms the HFA/ICOS score's ability to predict cardiovascular toxicity in breast cancer women and the need for close monitoring especially in high and very-high risk patients.

Monocyte-to-lymphocyte ratio as predictor of cancer therapy-related cardiotoxicity in patients with breast cancer: a pilot cohort study

BACKGROUND

Elevated pre-treatment baseline inflammation has been associated with cancer therapy-related cardiac dysfunction (CTRCD) in patients with breast cancer. Monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio and systemic immune-inflammation index (NLR × platelets) have emerged in clinical context as markers of disease-related inflammation.

OBJECTIVES

To evaluate development of CTRCD according to pre-treatment blood inflammatory biomarkers in patients with breast cancer.

METHODS

Pilot cohort study including consecutive female patients ≥ 18 years with HER2-positive early breast cancer who consulted at the institution's breast oncology outpatient clinic between march/2019 and march/2022. CTRCD: absolute reduction in LVEF > 10% to below 53% (2D-echocardiogram). Survival analysis was performed using Kaplan-Meier curves, compared by the log-rank test, and discrimination ability was evaluated through AUC-ROC.

RESULTS

Forty-nine patients (53.3 ± 13.3 y) were included and followed-up for a median of 13.2 months. CTRCD was observed in 6 (12.2%) patients. Patients with high blood inflammatory biomarkers had lower CTRCD-free survival (P < 0.050 for all). MLR showed statistically significant AUC (0.802; P = 0.017). CTRCD was observed in 27.8% of patients with high MLR versus 3.2% with low MLR (P = 0.020); negative predictive value was 96.8% (95%CI 83.3-99.4%).

CONCLUSION

In patients with breast cancer, elevated pre-treatment inflammatory markers were associated with increased risk of cardiotoxicity. Among these markers, MLR had good discriminatory performance and high negative predictive value. The incorporation of MLR might improve risk evaluation and selection of patients for follow-up during cancer therapy.