Fundamento Poucos estudos compararam diferentes dietas de sódio (Na) associadas a altas doses de furosemida (ADF) e restrição de ingestão de líquidos (RIL) na pressão capilar pulmonar (PCP) em pacientes com insuficiência cardíaca (IC) compensada. Objetivos O estudo teve como objetivo verificar os efeitos da ADF, 120 mmol/Na/dia e RIL (1.000 ml dia) vs ADF, RIL e 80 mmol/Na/dia na PCP, durante 12 meses de acompanhamento. Métodos 289 pacientes com IC foram randomizados: O Grupo A (n = 146) recebeu 120 mmol Na/dia, RIL e 125-250 mg duas vezes ao dia de furosemida. O Grupo B (n = 143) 80 mmol Na/dia, RIL e 125-250 mg duas vezes ao dia de furosemida. As avaliações clínicas e laboratoriais foram feitas no início do estudo, semanalmente no primeiro mês, a cada 2 semanas nos 2 meses seguintes e, então, mensalmente. Os pacientes realizaram ecocardiogramas na entrada, aos 6 e 12 meses. Resultado O grupo A, durante 12 meses, manteve a diurese como no início, enquanto o grupo B apresentou redução significativa, assim como para natriurese e Na sérico; a função renal não apresentou diferença substancial no grupo A. A PCP foi estável no grupo A, enquanto aumentou no grupo B. As readmissões e mortalidade apresentaram 22 e 11 pacientes no grupo A versus 63 e 27 óbitos no grupo B (p< 0,001, p < 0,004) Conclusão Nossos dados sugerem que uma dieta moderada em Na combinada com ADF e RIL tem efeitos benéficos sobre a PCP e os resultados clínicos. Readmissões e mortalidade foram consideradas variáveis exploratórias; de fato, o estudo não teve poder estatístico suficiente para analisar o prognóstico, e os resultados tiveram que ser considerados com cautela. NCT01738659.

The tricuspid valve (TV) is a complex anatomical entity. As surgical treatment for isolated tricuspid regurgitation has traditionally been associated with high peri- and post-operative mortality, advances in percutaneous transcatheter techniques of repair and replacement of the TV are emerging as safe and effective alternatives. This review summarizes the current evidence on the use of three-dimensional echocardiography to assist transcatheter-edge-to-edge repair (TEER) in patients with tricuspid regurgitation.

Abstract Background/Introduction Inclisiran has been recently introduced in clinical practice. Thus, efficacy and safety data from real-world settings are limited. Purpose Cholinet (Cholesterol inclisiran Italian network) is an Italian multicenter prospective phase 4 registry including 36 Italian centers, designed to assess efficacy, safety, adherence and persistence of inclisiran treatment, and clinician’s behavior on LLT in very high CV risk patients with atherosclerotic CV disease and/or familial hypercholesterolemia (FH). Methods From November 2022 through February 2024, the Cholinet registry enrolled patients receiving inclisiran according to standard clinical practice. Clinical and demographic characteristics, concomitant therapies, blood chemistry, were recorded at the time of first prescription and at subsequent follow-up. Results We enrolled 668 patients in treatment with inclisiran (15.1% with FH, 30.7% female, mean age 63 years), Data on follow-up at 3 months (booster time) were available for 495 of them. At the time of inclisiran first prescription median LDL-C was 102 mg/dl and reached 51 mg/dl at the time of 3 months observation (50% mean reduction, 51 mg/dl absolute median reduction). None of the 495 patients reaching 3 months follow up missed the reinjection dose administration. Of 668 patients enrolled, 553 patients (82.7%) were on LLT, of them 107 (19.3%) were on ezetimibe alone, 67 (12.1%) on statin alone and 379 (68.5%) on a statin and ezetimibe combination. Of the enrolled patients, 45 (6.7%) were previously treated with evolocumab and 34 (5%) with alirocumab. Among the patients evaluated at the 3-month follow-up, 307 patients (62%) achieved the LDL cholesterol target; of them, 450 (91%) were treated with inclisiran and statin±ezetimibe. Evaluating the distribution of the percentage reduction in LDL cholesterol values, a heterogeneity emerged that was partly explainable by the concomitant lipid-lowering therapy and partly by the previous exposure to PCSK9 inhibitors. Conclusions These preliminary data from the Cholinet Italian registry show that inclisiran effectively reduces (50%) LDL-C in real-world settings. The LDL-C target was achieved in 62% of patients; of them 91% were on lipid-lowering therapy, showing that combination therapy is necessary in most of these patients.

BackgroundHeart failure (HF) significantly affects the morbidity, mortality, and quality of life of patients. New therapeutic strategies aim to improve the functional capacity and quality of life of patients while controlling HF-related risks. Real-world data on both the functional and cardiopulmonary exercise capacities of patients with HF with reduced ejection fraction upon sacubitril/valsartan use are lacking.MethodsA multicenter, retrospective, cohort study, called REAL.IT, was performed based on the data collected from the electronic medical records of nine specialized HF centers in Italy. Cardiopulmonary exercise testing was performed at baseline and after 12 months of sacubitril/valsartan therapy, monitoring carbon dioxide production (VCO2) and oxygen consumption (VO2).ResultsThe functional capacities of 170 patients were evaluated. The most common comorbidities were hypertension and diabetes (i.e., 53.5 and 32.4%, respectively). At follow-up, both the VO2 peak (from 15.1 ± 3.7 ml/kg/min at baseline to 17.6 ± 4.7 ml/kg/min at follow-up, p < 0.0001) and the predicted % VO2 peak (from 55.5 ± 14.1 to 65.5 ± 16.9, p < 0.0001) significantly increased from baseline. The VO2 at the anaerobic threshold (AT-VO2) increased from 11.5 ± 2.6 to 12.5 ± 3.3 ml/kg/min (p = 0.021), and the rate ratio between the oxygen uptake and the change in work (ΔVO2/Δwork slope) improved from 9.1 ± 1.5 to 9.9 ± 1.6 ml/min/W (p < 0.0001).ConclusionsSacubitril/valsartan improves the cardiopulmonary capacity of patients with HFrEF in daily clinical practice in Italy.

Atherosclerotic cardiovascular diseases remain the main cause of mortality worldwide, due to a poor control of modifiable risk factors for atherosclerosis. High levels of low-density lipoprotein cholesterol represent the most relevant actor in the development of atherosclerotic cardiovascular diseases, as well as the main target of prevention strategies. Although lipid-lowering treatments were shown to be effective for cardiovascular prevention, several barriers (e.g. clinician reluctance to prescribe an intensive treatment, poor adherence of patients to therapy, high pharmacotherapy burden of high-risk patients and the fear for adverse events potentially associated with statins) still prevent therapy optimization. Such issues will be addressed in this review article, taking into account possible strategies for their solution, through an integrated approach including both management interventions and a larger use of the available pharmacologic options.

AIMS:The current European Society of Cardiology (ESC) guidelines provide clear indications for the treatment of acute and chronic heart failure (HF). Nevertheless, there is a constant need for real-world evidence regarding the effectiveness, adherence, and persistence of drug therapy. We investigated the use of sacubitril/valsartan for the treatment of HF with reduced ejection fraction in real-world clinical practice in Italy. METHODS AND RESULTS:An observational, retrospective, non-interventional cohort study based on electronic medical records from nine specialized hospital HF centres in Italy was carried out on patients with prescription of sacubitril/valsartan. Overall, 948 patients had a prescription of sacubitril/valsartan, with 924 characterized over 6 months and followed up for 12 months. Pharmacoutilization data at 1 year of follow-up were available for 225 patients {mean age 69.7 years [standard deviation (SD) = 10.8], 81.8% male}. Of those, 398 (45.2%) reached the target dose of sacubitril/valsartan of 97/103 mg in a mean time of 6.9 (SD = 6.2) weeks. Blood pressure and hypotension in 61 patients (65%) and worsening of chronic kidney disease in 10 patients (10.6%) were the main reasons for not reaching the target dose. Approximatively 50% of patients had a change in sacubitril/valsartan dose during follow-up, and 158 (70.2%) were persistent with the treatment during the last 3 months of follow-up. A sensitivity analysis (persistence during the last 4 months of follow-up) showed persistence for 162 patients (72.0%). Adherence data, available for 387 patients, showed full adherence for 205 (53%). Discontinuation (102/717 patients, 14.2%) was mainly due to hypotension and occurred after a mean time of 34.3 (SD = 28.7) weeks. During follow-up, out of 606 patients with available data, 434 patients (71.6%) had an HF add-on drug or drugs concomitant with sacubitril/valsartan. HF-related hospitalization during follow-up was numerically higher in non-persistent (16/67 patients, 23.9%) vs. patients persistent to sacubitril/valsartan (30/158, 19%) (P = 0.405). CONCLUSIONS:Real-world data on the use of sacubitril/valsartan in clinical practice in Italy show a rapid titration to the target dose, high therapeutic adherence enabling a good level of therapeutic management in line with ESC guidelines for patients with reduced ejection fraction.

Sacubitril/valsartan reduces heart failure (HF)-related hospitalizations and cardiovascular mortality in PARADIGM-HF and has become a foundational treatment for HF with reduced ejection fraction (HFrEF). However, data of its routine real-world use are limited, and evidence from Italian settings is lacking. The REAL.IT study aimed to characterize the demographics, pharmacotherapy, clinical characteristics and outcomes of sacubitril/valsartan-treated Italian patients with HFrEF. Electronic medical records of patients initiating sacubitril/valsartan from October 2016 to June 2019 at nine specialized hospital outpatient HF centers across Italy were reviewed. Overall, 924 adults (mean age 64.5 years, 84.6% male) were included. At baseline, 38.7% had an ischemic HF etiology, 45.9% hypertension, 23.2% atrial fibrillation, 25.4% diabetes mellitus, 26.1% an implantable cardioverter-defibrillator and 31.9% coronary artery bypass grafting. There were no clear patterns of patient selection over time. During follow-up, NYHA class improved in 37.5% of patients after a mean of 5.3 ± 3.8 months; 36.1% and 16.7% of patients were in NYHA class III during characterization and after one year of follow-up, respectively. Left ventricular ejection fraction (LVEF) improved ≥5% in 56.3% of patients at one year; 39.7% had ≥30% reduction of N-terminal pro-B-type natriuretic peptide; 2.2% had hyperkalemia during characterization and 2.6% during follow-up; and 3.8% had hypotension during characterization and 12% during follow-up. A total of 50 (5.8%) of patients had device implantation (ICD/CRT) during follow-up. HF-related hospitalization was recorded in 19.6% of patients during follow-up; 3.8% of patients died, approximately 1.3% from cardiovascular causes. Our real-world data confirm the favorable effectiveness and tolerability of sacubitril/valsartan observed in pivotal randomized controlled trials.

Background: This study aims to evaluate the cardiopulmonary effects of sacubitril/valsartan therapy in patients with heart failure with reduced ejection fraction (HFrEF), investigating a possible correlation with the degree of myocardial fibrosis, as assessed by cardiac magnetic resonance. Methods: A total of 134 outpatients with HFrEF were enrolled. Results: After a mean follow-up of 13.3 ± 6.6 months, an improvement in ejection fraction and a reduction in E/A ratio, inferior vena cava size and N-terminal pro-B-type natriuretic peptide levels were observed. At follow-up, we observed an increase in VO2 peak of 16% (p<0.0001) and in O2 pulse of 13% (p=0.0002) as well as an improvement in ventilatory response associated with a 7% reduction in the VE/VCO2 slope (p=0.0001). An 8% increase in the ΔVO2/Δ work ratio and an 18% increase in exercise tolerance were also observed. Multivariate logistic regression analysis showed that the main predictors of events during follow-up were VE/VCO2 slope >34 (OR 3.98; 95% CI [1.59–10.54]; p=0.0028); ventilatory oscillatory pattern (OR 4.65; 95% CI [1.55–16.13]; p=0.0052); and haemoglobin level (OR 0.35; 95% CI [0.21–0.55]; p<0.0001). In patients who had cardiac magnetic resonance, when delayed enhancement >4.6% was detected, a lower response after sacubitril/valsartan therapy was observed as expressed by improvement in ΔVO2 peak, O2 pulse, LVEF and N-terminal pro-B-type natriuretic peptide. No significant differences were observed in ΔVO2/Δ work and VE/VCO2 slope. Conclusion: Sacubitril/valsartan improves cardiopulmonary functional capacity in HFrEF patients. The presence of myocardial fibrosis on cardiac magnetic resonance is a predictor of response to therapy.

Introduction The role of sex compared to comorbidities and other prognostic variables in patients with coronavirus disease (COVID-19) is unclear. Methods This is a retrospective observational study on patients with COVID-19 infection, referred to 13 cardiology units. The primary objective was to assess the difference in risk of death between the sexes. The secondary objective was to explore sex-based heterogeneity in the association between demographic, clinical and laboratory variables, and patients’ risk of death. Results Seven hundred and one patients were included: 214 (30.5%) women and 487 (69.5%) men. During a median follow-up of 15 days, deaths occurred in 39 (18.2%) women and 126 (25.9%) men. In a multivariable Cox regression model, men had a nonsignificantly higher risk of death vs. women (P = 0.07). The risk of death was more than double in men with a low lymphocytes count as compared with men with a high lymphocytes count [overall survival hazard ratio (OS-HR) 2.56, 95% confidence interval (CI) 1.72–3.81]. In contrast, lymphocytes count was not related to death in women (P = 0.03). Platelets count was associated with better outcome in men (OS-HR for increase of 50 × 103 units: 0.88 95% CI 0.78–1.00) but not in women. The strength of association between higher PaO2/FiO2 ratio and lower risk of death was larger in women (OS-HR for increase of 50 mmHg/%: 0.72, 95% CI 0.59–0.89) vs. men (OS-HR: 0.88, 95% CI 0.80–0.98; P = 0.05). Conclusions Patients’ sex is a relevant variable that should be taken into account when evaluating risk of death from COVID-19. There is a sex-based heterogeneity in the association between baseline variables and patients’ risk of death.

Background Several risk factors have been identified to predict worse outcomes in patients affected by SARS-CoV-2 infection. Machine learning algorithms represent a novel approach to identifying a prediction model with a good discriminatory capacity to be easily used in clinical practice. The aim of this study was to obtain a risk score for in-hospital mortality in patients with coronavirus disease infection (COVID-19) based on a limited number of features collected at hospital admission. Methods and results We studied an Italian cohort of consecutive adult Caucasian patients with laboratory-confirmed COVID-19 who were hospitalized in 13 cardiology units during Spring 2020. The Lasso procedure was used to select the most relevant covariates. The dataset was randomly divided into a training set containing 80% of the data, used for estimating the model, and a test set with the remaining 20%. A Random Forest modeled in-hospital mortality with the selected set of covariates: its accuracy was measured by means of the ROC curve, obtaining AUC, sensitivity, specificity and related 95% confidence interval (CI). This model was then compared with the one obtained by the Gradient Boosting Machine (GBM) and with logistic regression. Finally, to understand if each model has the same performance in the training and test set, the two AUCs were compared using the DeLong's test. Among 701 patients enrolled (mean age 67.2 ± 13.2 years, 69.5% male individuals), 165 (23.5%) died during a median hospitalization of 15 (IQR, 9–24) days. Variables selected by the Lasso procedure were: age, oxygen saturation, PaO 2 /FiO 2 , creatinine clearance and elevated troponin. Compared with those who survived, deceased patients were older, had a lower blood oxygenation, lower creatinine clearance levels and higher prevalence of elevated troponin (all P < 0.001). The best performance out of the samples was provided by Random Forest with an AUC of 0.78 (95% CI: 0.68–0.88) and a sensitivity of 0.88 (95% CI: 0.58–1.00). Moreover, Random Forest was the unique model that provided similar performance in sample and out of sample (DeLong test P = 0.78). Conclusion In a large COVID-19 population, we showed that a customizable machine learning-based score derived from clinical variables is feasible and effective for the prediction of in-hospital mortality.

Data concerning the combined prognostic role of natriuretic peptide (NP) and troponin in patients with COVID-19 are lacking. The aim of the study is to evaluate the combined prognostic value of NPs and troponin in hospitalized COVID-19 patients. From March 1, 2020 to April 9, 2020, consecutive patients with COVID-19 and available data on cardiac biomarkers at admission were recruited. Patients admitted for acute coronary syndrome were excluded. Troponin levels were defined as elevated when greater than the 99th percentile of normal values. NPs were considered elevated if above the limit for ruling in acute heart failure (HF). A total of 341 patients were included in this study, mean age 68 ± 13 years, 72% were men. During a median follow-up period of 14 days, 81 patients (24%) died. In the Cox regression analysis, patients with elevated both NPs and troponin levels had higher risk of death compared with those with normal levels of both (hazard ratio 2.94; 95% confidence interval 1.31 to 6.64; p = 0.009), and this remained significant after adjustment for age, gender, oxygen saturation, HF history, and chronic kidney disease. Interestingly, NPs provided risk stratification also in patients with normal troponin values (hazard ratio 2.86; 95% confidence interval 1.21 to 6.72; p = 0.016 with high NPs levels). These data show the combined prognostic role of troponin and NPs in COVID-19 patients. NPs value may be helpful in identifying patients with a worse prognosis among those with normal troponin values. Further, NPs' cut-point used for diagnosis of acute HF has a predictive role in patients with COVID-19.

Worldwide population ageing is partly due to advanced standard of care, leading to increased incidence and prevalence of geriatric syndromes such as frailty and disability. Hence, the age at the onset of acute coronary syndromes (ACS) keeps growing as well. Moreover, ageing is a risk factor for both frailty and cardiovascular disease (CVD). Frailty and CVD in the elderly share pathophysiological mechanisms and associated conditions, such as malnutrition, sarcopenia, anemia, polypharmacy and both increased bleeding/thrombotic risk, leading to a negative impact on outcomes. In geriatric populations ACS is associated with an increased frailty degree that has a negative effect on re-hospitalization and mortality outcomes. Frail elderly patients are increasingly referred to cardiac rehabilitation (CR) programs after ACS; however, plans of care must be tailored on individual’s clinical complexity in terms of functional capacity, nutritional status and comorbidities, cognitive status, socio-economic support. Completing rehabilitative intervention with a reduced frailty degree, disability prevention, improvement in functional state and quality of life and reduction of re-hospitalization are the goals of CR program. Tools for detecting frailty and guidelines for management of frail elderly patients post-ACS are still debated. This review focused on the need of an early identification of frail patients in elderly with ACS and at elaborating personalized plans of care and secondary prevention in CR setting.

Background Glucocorticoid therapy has emerged as an effective therapeutic option in hospitalized patients with coronavirus disease 2019 (COVID-19). This study aimed to focus on the impact of relevant clinical and laboratory factors on the protective effect of glucocorticoids on mortality. Methods A sub-analysis was performed of the multicenter Cardio-COVID-Italy registry, enrolling consecutive patients with COVID-19 admitted to 13 Italian cardiology units between 01 March 2020 and 09 April 2020. The primary endpoint was in-hospital mortality. Results A total of 706 COVID-19 patients were included (349 treated with glucocorticoids, 357 not treated with glucocorticoids). After adjustment for relevant covariates, use of glucocorticoids was associated with a lower risk of in-hospital mortality (adjusted HR 0.44; 95% CI 0.26–0.72; p = 0.001). A significant interaction was observed between the protective effect of glucocorticoids on mortality and PaO2/FiO2 ratio on admission (p = 0.042), oxygen saturation on admission (p = 0.017), and peak CRP (0.023). Such protective effects of glucocorticoids were mainly observed in patients with lower PaO2/FiO2 ratio (<300), lower oxygen saturation (<90%), and higher CRP (>100 mg/L). Conclusions The protective effects of glucocorticoids on mortality in COVID-19 were more evident among patients with worse respiratory parameters and higher systemic inflammation.

Several risk factors have been identified to predict worse outcomes in patients affected by SARS-CoV-2 infection. Prediction models are needed to optimize clinical management and to early stratify patients at a higher mortality risk. Machine learning (ML) algorithms represent a novel approach to identify a prediction model with a good discriminatory capacity to be easily used in clinical practice. The Cardio-COVID is a multicentre observational study that involved a cohort of consecutive adult Caucasian patients with laboratory-confirmed COVID-19 [by real time reverse transcriptase—polymerase chain reaction (RT-PCR)] who were hospitalized in 13 Italian cardiology units from 1 March to 9 April 2020. Patients were followed-up after the COVID-19 diagnosis and all causes in-hospital mortality or discharge were ascertained until 23 April 2020. Variables with more than 20% of missing values were excluded. The Lasso procedure was used with a λ = 0.07 for reducing the covariates number. Mortality was estimated by means of a Random Forest (RF). The dataset was randomly divided in two subsamples with the same percentage of death/alive people of the entire sample: training set contained 80% of the data and test set the remaining 20%. The training set was used in the calibration procedure where a RF models in-hospital mortality with the covariates selected by Lasso. Its accuracy was measured by means of the ROC curve, obtaining AUC, sensitivity, specificity, and related 95% confidence interval (CI) computed with 10 000 stratified bootstrap replicates. From the RF the relative Variable Importance Measure (relVIM) was extracted to understand which of the selected variables had the greatest impact on outcome, providing a ranking from the most (relVIM = 100) to the less important variable. The model obtained was compared with the Gradient Boosting Machine (GBM) and with the logistic regression, where the predictions were cross validated. Finally, to understand if each model has the same performance in sample (training) and out of sample (test), the two AUCs were compared by means of the DeLong’s test. Among 701 patients enrolled (mean age 67.2 ± 13.2 years, 69.5% males), 165 (23.5%) died during a median hospitalization of 15 (IQR, 9–24) days. Variables selected by the Lasso were: age, Oxygen saturation, PaO2/FiO2, Creatinine Clearance and elevated Troponin. Compared with those who survived, deceased patients were older, had a lower blood oxygenation, a lower creatinine clearance levels and higher prevalence of elevated Troponin (all P < 0.001). Training set included 561 patients and test set 140 patients. The best performance out of sample was provided by the RF with an AUC of 0.78 (95% CI: 0.68–0.88) and a sensitivity of 0.88 (95% CI: 0.58–1.00). Moreover, RF is the unique methodology that provided similar performance in sample and out of sample (DeLong test P = 0.78). On the contrary, prediction model was less accurate by using GBM and logistic regression. The relVIM ranked the variables from the most to the less important in predicting the outcome as follows: clearance creatinine, PaO2/FiO2, age, oxygen saturation, and elevated Troponin. In a large COVID-19 population, we showed that a customizable ML-based score derived from clinical variables, is feasible and effective for the prediction of in-hospital mortality.

Abstract Aims To assess the clinical relevance of a history of atrial fibrillation (AF) in hospitalized patients with coronavirus disease 2019 (COVID-19). Methods and results We enrolled 696 consecutive patients (mean age 67.4 ± 13.2 years, 69.7% males) admitted for COVID-19 in 13 Italian cardiology centres between 1 March and 9 April 2020. One hundred and six patients (15%) had a history of AF and the median hospitalization length was 14 days (interquartile range 9–24). Patients with a history of AF were older and with a higher burden of cardiovascular risk factors. Compared to patients without AF, they showed a higher rate of in-hospital death (38.7% vs. 20.8%; P < 0.001). History of AF was associated with an increased risk of death after adjustment for clinical confounders related to COVID-19 severity and cardiovascular comorbidities, including history of heart failure (HF) and increased plasma troponin [adjusted hazard ratio (HR): 1.73; 95% confidence interval (CI) 1.06–2.84; P = 0.029]. Patients with a history of AF also had more in-hospital clinical events including new-onset AF (36.8% vs. 7.9%; P < 0.001), acute HF (25.3% vs. 6.3%; P < 0.001), and multiorgan failure (13.9% vs. 5.8%; P = 0.010). The association between AF and worse outcome was not modified by previous or concomitant use of anticoagulants or steroid therapy (P for interaction >0.05 for both) and was not related to stroke or bleeding events. Conclusion Among hospitalized patients with COVID-19, a history of AF contributes to worse clinical course with a higher mortality and in-hospital events including new-onset AF, acute HF, and multiorgan failure. The mortality risk remains significant after adjustment for variables associated with COVID-19 severity and comorbidities.

The increased efficacy of cancer therapy has resulted in greater cancer survival and increasing number of people with cancer and cardiovascular diseases. The sharing of risk factors, the bidirectional relationship between cancer and cardiovascular diseases and the cardiotoxic effect of chemotherapy and radiotherapy, are the cause of the rapid expansion of cardio-oncology. All strategies to preserve cardiovascular health and mitigate the negative effect of cancer therapy, by reducing the cardiovascular risk, must be pursued to enable the timely and complete delivery of anticancer therapy and to achieve the longest remission of the disease. Comprehensive cardiac rehabilitation is an easy-to-use model, even in cancer care, and is the basis of Cardio-Oncology REhabilitation (CORE), an exercise-based multi-component intervention. In addition, CORE, besides using the rationale and knowledge of cardiac rehabilitation, can leverage the network of cardiac rehabilitation services to offer to cancer patients exercise programs, control of risk factors, psychological support, and nutrition counseling. The core components of CORE will be discussed, describing the beneficial effect on cardiorespiratory fitness, quality of life, psychological and physical well-being, and weight management. Furthermore, particular attention will be paid to how CORE can counterbalance the negative effect of therapies in those at heightened cardiovascular risk after a cancer diagnosis. Barriers for implementation, including personal, family, social and of the health care system barriers for a widespread diffusion of the CORE will also be discussed. Finally, there will be a call-to-action, for randomized clinical trials that can test the impact of CORE, on morbidity and mortality.