Franco Noventa
Research Subjects
Franco Noventa has a total of 23 co-authors. Here are the top co-authors by number of shared publications:
- Amir Kol
Ospedale San Camillo de Lellis, 02100 Rieti, Italy
1 shared publication - Angelo Antonio Di Grazia
AOU Policlinico G.Rodolico-San Marco, 95123 Catania, Italy
1 shared publication - Antonio Lupo
Ospedale di Mirano, 30035 Mirano, Italy
1 shared publication - Antonio Rossillo
Unità Operativa Complessa di Cardiologia, Ospedale San Bortolo, 36100 Vicenza, Italy
1 shared publication - Carlo Uran
Asl Caserta , Italy
1 shared publication - Francesco Zanon
Department of Cardiology, Santa Maria della Misericordia Hospital, Rovigo, Italy
1 shared publication
Latest Publications
- Open Access
- 23 April 2026
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 15 (9) , 3223
Rationale and Design of the PREDICT-CCM Study: Predictive Value of Dobutamine Stress Echocardiography for Clinical Response to Cardiac Contractility Modulation Therapy in a Multicenter Italian Cohort
Background/Objectives: Heart failure (HF) is associated with substantial morbidity, impaired quality of life (QOL), and reduced functional capacity. In selected patients with symptomatic HF despite Optimal Medical Therapy (OMT), Cardiac Contractility Modulation (CCM) may be a therapeutic option. Identifying patients most likely to benefit from CCM remains an unmet need. The Predict-CCM study aims to evaluate long-term clinical and objective outcomes after CCM therapy and to assess the predictive value of pre-implant low-dose dobutamine stress echocardiography (LDDSE). Methods and Results: Predict-CCM is an independent, non-profit, multicenter, observational cohort study conducted in Italy, with both retrospective and prospective enrollment. The primary endpoint is the proportion of subjects with a clinical response to CCM at 12 months, defined as a ≥1-class reduction in NYHA class. Secondary clinical endpoints include reductions in HF-related hospitalizations, changes in QOL assessed by the Minnesota Living with Heart Failure Questionnaire (MLHFQ), and changes in NT-proBNP levels from baseline to follow-up. Outcomes will be evaluated in the overall cohort and in two subcohorts stratified by pre-implant LDDSE response: (1) reduction in left ventricular end systolic volume (LVESV) ≥ 15% (DeltaLVESV ≥ 15%); and (2) reduction in LVESV < 15% (DeltaLVESV < 15%). Assuming a 70% clinical response rate at 12 months, the estimated sample size is 120 patients. The study was approved by the Ethics Committee in March 2025. Enrollment will continue for 2 years, with a 12-month follow-up period after implant for each subject. Conclusions: This study may provide new criteria for patient selection and outcome assessment in CCM therapy. Left ventricular contractile reserve assessed by stress echocardiography may be a promising predictor of response.
- 23 April 2026
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 15 (9) , 3223
Open AccessRationale and Design of the PREDICT-CCM Study: Predictive Value of Dobutamine Stress Echocardiography for Clinical Response to Cardiac Contractility Modulation Therapy in a Multicenter Italian Cohort
Background/Objectives: Heart failure (HF) is associated with substantial morbidity, impaired quality of life (QOL), and reduced functional capacity. In selected patients with symptomatic HF despite Optimal Medical Therapy (OMT), Cardiac Contractility Modulation (CCM) may be a therapeutic option. Identifying patients most likely to benefit from CCM remains an unmet need. The Predict-CCM study aims to evaluate long-term clinical and objective outcomes after CCM therapy and to assess the predictive value of pre-implant low-dose dobutamine stress echocardiography (LDDSE). Methods and Results: Predict-CCM is an independent, non-profit, multicenter, observational cohort study conducted in Italy, with both retrospective and prospective enrollment. The primary endpoint is the proportion of subjects with a clinical response to CCM at 12 months, defined as a ≥1-class reduction in NYHA class. Secondary clinical endpoints include reductions in HF-related hospitalizations, changes in QOL assessed by the Minnesota Living with Heart Failure Questionnaire (MLHFQ), and changes in NT-proBNP levels from baseline to follow-up. Outcomes will be evaluated in the overall cohort and in two subcohorts stratified by pre-implant LDDSE response: (1) reduction in left ventricular end systolic volume (LVESV) ≥ 15% (DeltaLVESV ≥ 15%); and (2) reduction in LVESV < 15% (DeltaLVESV < 15%). Assuming a 70% clinical response rate at 12 months, the estimated sample size is 120 patients. The study was approved by the Ethics Committee in March 2025. Enrollment will continue for 2 years, with a 12-month follow-up period after implant for each subject. Conclusions: This study may provide new criteria for patient selection and outcome assessment in CCM therapy. Left ventricular contractile reserve assessed by stress echocardiography may be a promising predictor of response.