Skip to main content

Progressive right ventricular dysfunction and exercise impairment in patients with heart failure and diabetes mellitus: insights from the T.O.S.CA. Registry



Findings from the T.O.S.CA. Registry recently reported that patients with concomitant chronic heart failure (CHF) and impairment of insulin axis (either insulin resistance—IR or diabetes mellitus—T2D) display increased morbidity and mortality. However, little information is available on the relative impact of IR and T2D on cardiac structure and function, cardiopulmonary performance, and their longitudinal changes in CHF.


Patients enrolled in the T.O.S.CA. Registry performed echocardiography and cardiopulmonary exercise test at baseline and at a patient-average follow-up of 36 months. Patients were divided into three groups based on the degree of insulin impairment: euglycemic without IR (EU), euglycemic with IR (IR), and T2D.


Compared with EU and IR, T2D was associated with increased filling pressures (E/e′ratio: 15.9 ± 8.9, 12.0 ± 6.5, and 14.5 ± 8.1 respectively, p < 0.01) and worse right ventricular(RV)-arterial uncoupling (RVAUC) (TAPSE/PASP ratio 0.52 ± 0.2, 0.6 ± 0.3, and 0.6 ± 0.3 in T2D, EU and IR, respectively, p < 0.05). Likewise, impairment in peak oxygen consumption (peak VO2) in TD2 vs EU and IR patients was recorded (respectively, 15.8 ± 3.8 ml/Kg/min, 18.4 ± 4.3 ml/Kg/min and 16.5 ± 4.3 ml/Kg/min, p < 0.003). Longitudinal data demonstrated higher deterioration of RVAUC, RV dimension, and peak VO2 in the T2D group (+ 13% increase in RV dimension, − 21% decline in TAPSE/PAPS ratio and − 20% decrease in peak VO2).


The higher risk of death and CV hospitalizations exhibited by HF-T2D patients in the T.O.S.CA. Registry is associated with progressive RV ventricular dysfunction and exercise impairment when compared to euglycemic CHF patients, supporting the pivotal importance of hyperglycaemia and right chambers in HF prognosis.

Trial registration identifier: NCT023358017


There is an intimate link between heart failure (HF) and type 2 diabetes (T2D) [1,2,3,4,5,6]. Both diseases share common pathophysiological mechanisms including insulin-resistance (IR) and neuro-hormonal activation. They often overlap and each disease increases the risk for the other. Indeed, the prevalence of T2D in HF cohort ranges from 10 to 47%, higher in hospitalized patients, while the prevalence of HF in T2D is 4 times higher than the general population ranging from 9 to 22%. On the other hand, IR represents a complex pathological condition that shapes the natural history of diabetes, influence its prognosis, and is strongly associated with its future development, accounting for up to 60% of patients with HF [4]. Importantly, while the effects of IR on HF outcomes are unclear, several community-based and hospitalized cohorts consistently showed increased risk of death and hospitalization in HF patients with T2D vs. euglycemic (EU) patients [4]. Likewise, many multivariate risk models highlight T2D as an independent risk factor for death in HF [7, 8]. T2D and IR may influence HF progression through several putative mechanisms, including metabolic inflexibility, impaired calcium handling, mitochondrial dysfunction, oxidative stress, and dysregulated myocardial-endothelial interactions. IR and hyperinsulinemia are thought to induce the so-called diabetic cardiomyopathy characterized, among others, by left ventricle (LV) hypertrophy and diastolic dysfunction predicts worsening LV function and remodeling [9]. On the other hand, T2D is characterized by hyperglycemia associated with IR. However, it is unclear whether the higher mortality observed in patients with diabetes and HF is due to hyperglycaemia per se or whether the presence of IR is already capable of affecting the HF progression. In this regard, data from the TOSCA Registry [10, 11] recently confirmed that the presence of insulin impairment (IR defined by HOMA index > 2.5 or T2D) was significantly associated with CV hospitalization and all-cause mortality. Of note, when adjusted for confounders, T2D alone and not HOMA-IR predicted outcome whereas HOMA-IR alone.

However, little information is available on the relative impact of IR and T2D on LV architecture and function as well as on cardiopulmonary performance, in HF cohorts. More importantly, no study dwelled upon the independent effect of IR or T2D on longitudinal changes of left and right chamber architecture and function, their coupling with the pulmonary circulation as well as cardiopulmonary. Therefore, the aims of the present investigation were to explore the separate impact of T2D and IR on left and right chambers morphology and function and cardiopulmonary performance and their longitudinal changes in relation to the cardiovascular outcomes.


Study population

The study design has been previously described [10,11,12]. In brief, the T.O.S.CA. Registry represents a prospective multicentre observational study, enrolling consecutive patients with stable CHF and left ventricular ejection fraction (LVEF) < 45%; inclusion criteria are as follows: no history of recent acute decompensation, acute coronary syndrome (< 6 months), severe liver (Cirrhosis Child-Turcotte-Pugh B-C), and/or kidney disease (creatinine level > 2.5 mg/dl) or active malignancy; further, patients need to be on stable medications for at least 3 months, including any beta-blocker (started at least 6 months before entering the study). As exclusion criteria, patients with history of current hormonal treatment or overt endocrine diseases were excluded.

Study outcomes

For cross-sectional data, we considered as primary endpoints differences in echocardiographic and cardiopulmonary exercise test parameters comparing 3 groups: patients without IR impairment (EU), IR patients, and T2D patients.

With regard to longitudinal data, we compared the delta change (expressed as absolute values or percentages, as more suitable) in left ventricular dimension and function (i.e., ejection fraction and left ventricle end-diastolic volume), RV dimension, function, and RV to pulmonary arterial uncoupling (RVPUC) (i.e., TAPSE and TAPSE/estimated pulmonary arterial systolic pressure, PASP) and peak oxygen consumption (peak VO2) from baseline to the 36-months visit (or the last available before the outcome) in the 3 groups.

Study procedures

Study procedures have been previously published in detail [10, 11]. In brief, blood samples were collected by venipuncture after overnight fast. To obtain serum and plasma, samples were centrifuged within 30 min, frozen, and stored at – 80 °C until assayed. Brain natriuretic peptide levels were assessed using a point-of-care device (RapidPIA™, Sekisui Medical Co, Tokyo, Japan) in a dedicated core-lab (John and Lucille van Geest Biomarker Facility, University of Leicester, UK). The impairment of the Insulin axis has been described as the diagnosis of Type 2 diabetes mellitus (T2D) following guidelines or HomeOstasis Model Assessment (HOMA) greater than 2.5 (HOMA = insulin (mcU/ml) × glucose (mmol/l)/22.5.

Echocardiographic study

A complete transthoracic echocardiographic study, including complete M-mode, 2-dimensional, and Doppler analyses was performed at baseline and after a mean follow-up of 36 months, following the American Society of Echocardiography and European Society of Cardiovascular Imaging guidelines recommendation.

All measures were performed with the patients in the lateral recumbent position, and images were obtained by standard parasternal (short and long axis) and apical views. Echocardiographic exams were performed by expert trained physicians in each center, and data were revised in blind by two independent expert physicians of the core center according to previously published methods [10, 11].

Cardiopulmonary exercise test

All patients underwent an incremental symptom-limited cardiopulmonary exercise test (CPET) on a bicycle ergometer. After a 1-min warmup period at 0-W workload, a ramp protocol of 10 W/min was started and continued until limiting symptoms or other indications for exercise termination appeared [4, 8]. Respiratory gas exchange measurements were obtained breath-by-breath using a commercially available system (Vmax 29C, Sensormedics, Yorba Linda, California). VO2 was recorded as the mean value of VO2 during the last 20 s of the test. The ventilatory anaerobic.

threshold was detected using the V-slope method. The ventilation per min (VE) versus carbon dioxide production (VCO2) relationship was measured by plotting ventilation against VCO2 obtained every 10 s of exercise (VE/VCO2 slope). The VE/VCO2 slope was calculated as a linear regression function, excluding the nonlinear part of the relationship after the onset of acidotic drive to ventilation.

Statistical analysis

Normally distributed continuous variables were expressed as mean ± standard deviation (SD), whereas continuous data with skewed distributions were expressed as median [interquartile range (IQR)]. Categorical variables were expressed as counts and percentages. The distribution of the variables was tested with the Kolmogorov–Smirnov test.

Normally distributed variables were compared between groups using the two-sided, unpaired Student’s t-test, assuming unequal variance. Non-normally distributed variables were compared between groups using the nonparametric Mann–Whitney U-test or the Kruskal- Wallis test. Rates and proportions were compared between groups of interest using the chi-square test or correction for continuity test. For continuous variables normally distributed, statistical comparisons between groups were established by carrying out the one-way ANOVA test. P-values from the analysis of variance were adjusted using the Holm approach. When the ANOVA test revealed a statistical difference, pairwise comparisons were made by Tukey’s HSD (Honestly Significant Difference) test. Difference between groups and continuous VO2max levels were assessed through the ANCOVA model, considering all the baseline variables resulting statistically different between groups (e.g., age, gender, time from diagnosis). Age sex, NYHA class, BMI, electrolytes, and clinical or biological plausible variables were tested in a univariate analysis and used as a covariate in the ANCOVA model or used to calculate a propensity score if more than 5. Moreover, the relationship between VO2max and HOMA-IR (including the presence and absence of diabetes) was explored through Pearson or Spearman coefficient. A linear regression model was also provided, together with the related fitting curve. In order to test if there’s a relationship between HOMA-IR classes (i.e., no diabetes, I tertile of IR, II tertile of IR, III tertile of IR and presence of diabetes) and VO2 max, a logistic regression model was fitted providing the odds ratios and 95% confidence interval, considering as reference class both the absence and the presence of diabetes. P-values < 0.05 were considered statistically significant. All data were analysed using R version 3.0 (


From the original cohort of 525 patients, complete data about insulin impairment were available for 480 patients; as a result, these patients represent the baseline population of the present analysis.

Demographic characteristics

Baseline demographic characteristics of the final cohort are depicted in Table 1. Overall, 308 (64%) patients displayed an impairment of the insulin axis. Specifically, 120 patients were affected with T2D (25% of the total population) and 188 patients displayed IR (39% of the total population). Both IR and T2D patients displayed a significantly higher BMI compared with EU (26 ± 4, 30 ± 5, and 30 ± 6 respectively, p < 0.001), and had more frequently ischemic heart disease as aetiological cause of HF. As expected, T2D patients had higher glycaemia and glycosylated-haemoglobin (HbA1C) levels when compared with IR and EU patients (p < 0.01). T2D and IR had comparable insulinemia levels, significantly higher than euglycemic patients, while HOMA Index was higher in T2D compared with both IR and EU.

Table 1 Clinical Characteristics of the CHF population classified as Euglycemic, IR, and DM

No differences were found regarding sex, duration of disease, NYHA classes, current smoke habitus, NT-proBNP, and HF treatment except diuretics, which were employed less frequently in euglycemic patients (p < 0.05).


Baseline echocardiographic findings are depicted in Table 2. T2D patients, compared with other groups, displayed a significantly increased IVS thickness (11 ± 2 mm, 10 ± 2 mm, 10 ± 2 mm, T2D, IR, and EU respectively, < 0.05) and LV mass and a higher relative wall thickness (0.34 ± 0.1, 0.32 ± 0.1, and 0.32 ± 0.1 T2D, IR, and EU respectively, p < 0.05), indicating less eccentric remodelling. Such LV architectural alterations in T2D patients were paralleled by worse LV filling dynamics, suggested by both larger left atrial volume index (48 ± 26 ml/m2 vs 43 ± 19 ml/m2 and 38 ± 17 ml/m2, p < 0.01), and particularly by a higher E/e′ ratio (16 ± 9, 14 ± 8, and 12 ± 6 respectively, p < 0.01) when compared with both IR and EU patients, respectively. Indexes of systolic RV function (TAPSE and RFAC) are not different between the three groups (Table 2); indexes of right ventricular-pulmonary arterial uncoupling were equally more impaired in T2D compared with IR and EU. Indeed, a lower TAPSE/PASP ratio was found in T2D patients (0.52 ± 0.2, 0.6 ± 0.3, and 0.6 ± 0.3, p < 0.05). Likewise, increased right atrial volumes (34 ± 19 ml/m2 vs 30 ± 14 ml/m2 and 26 ± 13 ml/m2, p < 0.05) as well as higher percentage of moderate/severe TR were recorded in T2D patients compared with both IR and EU patients. In addition, when T2D patients were compared with regard to glycosylated-hemoglobin levels (< 7% n = 76, 7–8% n = 23, and > 8% n = 21 respectively), despite displaying similar values with regard to indexes of systolic RV function, patients with higher HbA1C displayed a more frequent RV-AP impairment, as testified by an impaired TAPSE/PASP ratio [35%, 36% and 57%, respectively—X2 (2, N = 120) = 7.6353; p = 0.02].

Table 2 Echocardiographic characteristics of the whole CHF population classified as Euglycemic, IR, and DM

Particularly intriguing were the longitudinal data (Fig. 1). The median time between Exam 1 and Exam 2 was 3.0 years (IQR: 2.1–3.3). Only minor changes were observed with regard to LV architecture and function in the three groups over time, while RV structure and function worsened significantly in the T2D patients compared with IR and EU groups. As a prototype, only slight changes among the three groups were observed over time in LV-EF (+ 0.4%, + 1.1%, + 1.7%, DM, IR, and EU respectively, p = 0.43) and LVEDVi (− 10 ml/Kg, − 15 ml/Kg, and − 10 ml/Kg), while RV dimensions increased by 26% in the TD2 group, and RV dysfunction and uncoupling progressed to a larger extent particularly in the TD2 group, as testified by percent delta changes of the TAPSE/PASP ratio (− 21%, − 14%, and − 10%, respectively, p < 0.05) (see Fig. 1A). Notably, the TAPSE/PASP ratio was equally influenced by a decrease in the TAPSE value paralleled by an increase in the PASP, suggesting that T2D patients displayed an RVAUC impairment as a whole, more than the progressive impairment of a single factor.

Fig. 1
figure 1

Longitudinal changes of Left and Right Ventricular architecture and function (A) and exercise capacity (B) of patients grouped with regard to insulin action impairment. Delta changes of selected variables of left ventricle (LV) and right ventricle (RV) architecture and function from baseline at 36 months (A). Whereas delta changes of LV parameters did not significantly differ between three groups, T2D patients displayed a more prominent progression of RV parameters. This phenomenon is paralleled by a more important impairment in cardiovascular performance, as testified by the delta change of peak VO2 from baseline (B)

Cardiopulmonary performance

Baseline exercise capacity was more compromised in T2D patients when compared with both euglycemic and IR patients, as shown by a significant lower distance on the 6-min walking test (352 ± 93 m, 386 ± 107 m, and 397 ± 101 m, DM, IR, and EU respectively, p < 0.01), (Table 3). Measures of cardiopulmonary performance are depicted in Table 4. Congruent with the echocardiographic data, T2D patients displayed a significant lower peak oxygen consumption when compared to IR and EU patients (respectively, 15.8 ± 3.8 ml/Kg/min, 16.5 ± 4.3 ml/Kg/min, and 18.4 ± 4.3 ml/Kg/min, p < 0.003). No significant differences were observed with regard to VE/VCO2 slope. A logistic regression model was performed to test the relationship between IR class and peak VO2 considering as reference class both the absence (euglycemic) and the presence of diabetes (OR; [95% CI], p-value) (0.89; [0.8–0.98], p < 0.05) and (1.12; [1–1.3], p = 0.05) respectively. Our results showed a relationship between HOMA-IR classes (i.e., euglycemic, IR, and T2D) and peak VO2. Finally, an ANCOVA model was performed, considering all the baseline variables resulting statistically different between groups (i.e., age, BMI, and aetiology), showing peak VO2 as an independent variable even after the adjustment for the covariates between the three groups (F-value 4.03, p < 0.05).

Table 3 Results of the Six-minute walking test distance of the whole CHF population classified as Euglycemic, IR, and DM
Table 4 Cardiopulmonary Exercise Test parameters of the whole HF population classified as Euglycemic, IR, and DM

Longitudinal changes in cardiopulmonary performance were also intriguing (Fig. 1B), pointing to a more rapid deterioration in diabetic patients vs. insulin resistant and euglycemic subjects. Specifically, 30% of the final cohort, 144 patients, evenly distributed across the groups (n = 44 EU, 53 IR, 47 DM) performed a follow-up CPET. While the decline in maximal oxygen consumption was only marginal in IR and EU groups (− 10 and − 11%), T2D patients displayed a more pronounced worsening of the cardiopulmonary performance, that reached—20% (p < 0.01; − 3.2 ml/min/Kg, −  1.91 ml/min/Kg, and − 1.74 in T2D, IR and EU, respectively) (Fig. 1B). No differences were observed with regard to VE/VCO2 slope between groups (data not shown).


As elsewhere described [11], T2D and IR were associated with poor outcome [HF 1.34 (1.03–1.73), p = 0·03]; however, when considered separately, T2D and not IR patients showed a significant association with the primary endpoint, reaching 70% of the patients with T2D and 52% in the patients without T2D (p = 0.001). Interestingly, among diabetic patients, those displaying a greater decline in CPET performance (i.e., peak VO2) and right ventricular pulmonary arterial coupling (i.e., TAPSE/PASP) were burdened by a worse prognosis. Indeed, overall, patients with delta changes > 10% in CPET, and TAPSE/PAPS also displayed a worse prognosis (as a prototype, maximal oxygen consumption delta changes > 10%: OR: 3.4 (1.9–4.1) p < 0.01). Notably, patients with a greater impairment of RV dynamics were significantly more common in the T2D group than in the IR and EU group. For example, with regard to peak oxygen consumption, respectively, 80%, 39%, and 30% of patients displayed delta change > 10% in T2D, IR and EU, respectively [X2(2 N = 144) = 25.97, p < 0.01].


The present report sheds new light on the differential role of insulin resistance and hyperglycaemia in the natural history of heart failure, as well as on the pivotal role of right ventricular architecture and dynamics. Several are the principal findings herein described: (a) T2D rather than IR further impairs left and right chambers morphology and function in HF, as well as cardiopulmonary performance, as shown by a broad variety of echocardiographic and CPET indexes; (b) T2D equally heavily impacts on longitudinal changes in cardiac morphology and function, and exercise capacity suggesting the concept that hyperglycaemia rather than IR induces further pathologic remodeling and exercise impairment; and (c) the rate of deterioration of RV architecture and function over time is associated with a worse prognosis, underlying the pivotal role of RV dynamics in HF progression.

To the best of our knowledge, the present study represents the most comprehensive investigation dwelling upon longitudinal changes of right and left cardiac morphology and function combined with cardiopulmonary performance comparing HF patients with regard to T2D, IR and EU status. Further, these data enhance the understanding of how T2D acts as an accelerator of disease progression in patients with HF.

Baseline echocardiographic and cardiopulmonary performance findings

Longitudinal population-based data have demonstrated that IR predicts worsening of LV function and remodeling when compared to euglycemic patients [13]. Further, in the Treatment Options for Type 2 Diabetes Mellitus in Adolescents and Youth (TODAY) study it was shown that T2D patients displayed a greater diastolic function decline when compared to non-diabetic patients [14]. Finally, in the Atherosclerosis Risk In the Community (ARIC) Study, it has been reported that dysglycaemia was associated with subtle and subclinical alterations of cardiac structure, with impaired left ventricular systolic and diastolic function [15]. In HF patients, T2D is associated with adverse structural and functional cardiac remodeling [16]. In our report, T2D patients showed a significantly worse LV remodeling in respect to both EU and IR, characterized by a higher LV septum thickness, LV mass, and higher relative wall thickness, associated with a higher E/e’ ratio indicating higher filling pressures. Of note, since these alterations are not present in EU and IR groups, our data suggest that hyperglycemia, rather the IR, affects heart architecture and function in HF patients.

Although neglected in the past, mounting evidence is congruent on the pivotal role of right heart in driving prognosis in HF, especially when the backward transmission of LV filling pressures rises up to generating an increased RV afterload [17]. A critical event appears the loss of left atrial capacitance/conductance capability. When the right ventricle faces an increase in afterload, it tends to adapt by increasing its contractility (coupling) to ensure appropriate pulmonary perfusion [18]. When this compensation mechanism fails (uncoupling), HF patients become highly symptomatic and display a poor prognosis [18]. In our cohort, T2D patients displayed increased LV filling pressures, as showed by higher E/e′ ration and larger LA volumes. Interestingly, even if indexes of systolic RV function (TAPSE and RFAC) are not different between the three groups—in line with previous studies showing that T2D does not impact on RVFAC [19]—T2D patients showed a more compromised TAPSE/PASP ratio, which is an easily assessable echocardiographic index that has recently showed a good correlation with the invasively assessed RV-PA coupling [20]. This parameter has already showed to be strongly associated with increased mortality in HF patients [21,22,23]. Our results pointed out a major role of the RV-PA coupling on the single indexes of RV function, further supporting the concept that TAPS/PASP ratio to be impaired in HF. Last but not least, T2D patients displayed also larger RA volumes, which is a signal for increased RV diastolic dysfunction, which usually appears before systolic dysfunction become overt, and a higher percentage of moderate-to-severe TR, also indicating worse right chambers dynamics [24].

Congruent with our results, serum insulin was inversely associated with right ventricle function and lung volumes in the general population suggesting that increased insulin levels may contribute to subclinical cardiopulmonary circulation impairment [25] in HF patients. In addition, when T2D patients were compared with regard to HbA1C levels, the RV-PA coupling resulted significantly more frequently impaired in patients with higher HbA1C levels, further pointing out the important role of hyperglycemia in HF. This was in line with previous studies [26], in which patients with HbA1C > 7% were more likely to develop RV dysfunction, supporting the role of hyperglycemia on HF [27], with the known effects on microvascular dysfunction [28] and on coronary atherosclerosis [29].

T2D has been associated with lowered peak VO2 in the general population [30, 31] and HF patients [32]. Notably, recent studies showed that although there was no significant difference in peak cardiac output, peripheral extraction was lower in patients with T2D compared to controls. In our cohort, we confirm that T2D patients displayed a greater cardiopulmonary impairment, as testified by a significant reduction of peak VO2 when compared to EU patients.

Longitudinal echocardiographic and cardiopulmonary performance findings and impact on outcomes

As elsewhere described [11], the T.O.S.CA. Registry showed that the impairment of the insulin action (i.e., patients with abnormal HOMA index or T2D) is associated with worse outcome. However, when the presence of IR or T2D were investigated alone, only T2D was associated with the primary endpoint, but not IR alone. These findings are not surprising, considering that whereas T2D has been unequivocally shown as a strong predictor of mortality in HF patients, with a more preponderant role in women [33], and no difference among the HF spectrum [34], few and inconsistent results are available in the literature with regard to IR. Indeed, if on the one hand IR has been proven to be a predictive factor associated with poor outcome in HF [35], on the other hand, wider and more recent investigations showed no association between prediabetes and incident HF [36].

As a possible explanation, in the T.O.S.CA. Registry the entity of changes of cardiac structure and function diverged in T2D and IR patients. Specifically, delta changes from baseline of right ventricle diameters and index of ventricular-arterial uncoupling were significantly larger in T2D patients compared to IR and EU, pointing to a rapid deterioration of right chambers architecture and dynamics. Notably, this was paralleled by a significant larger delta change in peak VO2, testifying a higher degree of worsening of the cardiovascular performance in T2D patients when compared to the other groups.

Congruent with these results, recent evidence showed that HFpEF patients displayed a greater impairment over time of right ventricular structure and function compared to left ventricle function [37]. On the other hand, in the same population [37], it has been unequivocally proven that patients developing RV dysfunction had a worse outcome. Taken altogether, our findings strongly may point to a pivotal role of right ventricle as a potential key player of the poorer outcome of HF-T2D patients shown in the T.O.S.CA. Registry and other larger cohort studies.

Type 2 diabetes impacts dramatically on right heart performance, exercise capacity, and accelerates their worsening over time

According to cross-sectional data from the current analysis, while systolic performance was impaired to a similar extent among groups, T2D patients showed a profile characterized by greater LV concentric remodeling, with increased filling pressures (E/e′). This alteration in LV dynamics may be attributable in the T2D-CHF patient to a metabolic shift from glucose consumption to free fatty acids, highly unfavorable from an energetic point of view [38]. Such an increase in LV filling pressures is paired with larger atrial sizes in T2D patients and may reflect a parallel increase in atrial pressure with potential reverberation on the pulmonary circulation, a condition commonly found in diabetes [39, 40]. A recently published study performed on biopsies of patients undergoing cardiac surgery demonstrated that left atrium of T2D-patients displayed greater stiffness and reduced contractile forces mainly due to a worse calcium metabolism [41]. Backward transmission of increased filling pressure from the left heart combined with loss of compliance and dysfunction of the pulmonary microcirculation in the T2D patient are likely to lead to right heart chamber overload [42]. According to our data, patients with T2D showed worse TAPSE/PASP ratio, which may represent a good surrogate of right ventricular arterial coupling, given its good correlation with its invasively assessment [43]. Right ventricular-arterial uncoupling underlies clinical worsening in all conditions rooted on right ventricular overload [18] and is a powerful independent predictor of HF mortality [17]. Taken together, the concurrent presence of diabetes in HF patients constitutes a serious aggravation of cardio-respiratory dynamics. In fact, it is not surprising to find a worse peak oxygen consumption in such patients, as this important parameter of exercise capacity correlates more with RV than LV function [17]. Interestingly, our data also pinpoint that T2D patients are more prone to have a more rapid deterioration of right ventricular-pulmonary arterial uncoupling, right heart size and exercise capacity, in line with previous studies [26]. This could lead to the speculation that the low- grade inflammation present in the diabetic patients constitutes a long-standing detrimental factor in the HF natural history catalysing its progression to poorer outcomes [44].

Clinical impact

The findings of the present study further support the concept that patients with HF should undergo a systematic metabolic evaluation, focused to prevent or delay the onset of insulin resistance (i.e., prediabetes) or hyperglycemia (i.e., T2D) with specific interventions (e.g., nutrition, physical activity, specific drugs). Furthermore, considering the worse LV and RV remodeling and dynamics and exercise performance of T2D patients and their rapid deterioration over time, this subset of patients should probably receive more aggressive therapeutic interventions. Indeed, our results showed that patients with a poorer glycemic control (i.e., higher HbA1c) displayed a more frequent impairment of RV-PA coupling, pointing out a preponderant role of hyperglycemia (i.e., T2D) rather than insulin resistance on cardiovascular impairment. In line with this hypothesis, intriguingly, it has been demonstrated that drugs acting on insulin resistance, (i.e., glitazones), were non-effective or deleterious in clinical and experimental studies on HF, whereas glucose lowering drugs with no direct effect on insulin sensitivity [i.e., sodium-glucose co-transporter-2 (SGLT2) inhibitors] have recently proved to be effective in reducing mortality and hospitalization in patients with HF [45, 46]. Indeed, in the last HF guidelines, these drugs entered with the highest level of evidence and recommended with an ACE-I/ARNI, a beta-blocker and an MRA, for patients with HFrEF [47, 48], and our results further support an important role of T2D control and management in HF patients.

On the other hand, our data showed a pivotal role of the right ventricle in determining the poor prognosis of T2D patients in HF, with RV-PA uncoupling as key-player of the more impaired cardiovascular performance and of the poorest outcome displayed by these patients in the T.O.S.CA. registry [11]. This is in line with the hypothesis that exercise capacity in HF patients is more closely related to RV than LV performance [17, 49], suggesting the need for evidence-based management strategies targeting RV dysfunction in HF, as promising objective of future investigations. Fascinatingly, data on the effects of sodium-glucose cotransporter 2 inhibitors in patients demonstrating signs of RHF but not LV impairment are lacking, and this should be addressed by future research.

In conclusion, compared to patients without diabetes, heart failure patients with type 2 diabetes display a higher degree of progressive right ventricular dysfunction and exercise impairment, associated with a poorer outcome. Findings from the T.O.S.CA. Registry shed light upon the key role of the right ventricle in HF, which appears a pivotal player in underlying the poor outcome faced by T2D HF patients.

Study limitations and strengths

The observational nature of the current study precludes the elucidation of the putative biological mechanism(s) underlying the progressive right ventricular dysfunction and exercise impairment in patients with heart failure and diabetes mellitus [50]. Despite representing the gold standard technique for investigating RV morphology and function [51], cardiac magnetic imaging was not performed for all patients. However, the T.O.S.CA. Registry represents a snapshot of real world, with echocardiography as the most available and feasible technique in the clinical practice. Another limitation is the relatively small sample-size of the T.O.S.CA. Registry. However, this is one of the few investigations measuring insulin serum concentrations and HOMA index, investigating the entire spectrum of insulin impairment in a HF population. Finally, the availability of a complete echocardiographic evaluations as well as of measures of cardiopulmonary performance at different time points represent another strength.

Availability of data and materials

All data generated or analyzed during this study are included in this published article


  1. Suskin N, McKelvie RS, Burns RJ, Latini R, Pericak D, Probstfield J, et al. Glucose and insulin abnormalities relate to functional capacity in patients with congestive heart failure. Eur Heart J. 2000;21(16):1368–75.

    Article  CAS  PubMed  Google Scholar 

  2. Ekundayo OJ, Muchimba M, Aban IB, Ritchie C, Campbell RC, Ahmed A. Multimorbidity due to diabetes mellitus and chronic kidney disease and outcomes in chronic heart failure. Am J Cardiol. 2009;103(1):88–92.

    Article  PubMed  Google Scholar 

  3. Sacca L, Napoli R. Insulin resistance in chronic heart failure: a difficult bull to take by the horns. Nutr Metab Cardiovasc Dis. 2009;19(5):303–5.

    Article  CAS  PubMed  Google Scholar 

  4. Dei Cas A, Khan SS, Butler J, Mentz RJ, Bonow RO, Avogaro A, et al. Impact of diabetes on epidemiology, treatment, and outcomes of patients with heart failure. JACC Heart Fail. 2015;3(2):136–45.

    Article  PubMed  Google Scholar 

  5. Kenny HC, Abel ED. Heart failure in type 2 diabetes mellitus. Circ Res. 2019;124(1):121–41.

    Article  CAS  PubMed  Google Scholar 

  6. Lehrke M, Marx N. Diabetes mellitus and heart failure. Am J Cardiol. 2017;120(1S):S37–47.

    Article  CAS  PubMed  Google Scholar 

  7. (MAGGIC) M-aGGiCHF. The survival of patients with heart failure with preserved or reduced left ventricular ejection fraction: an individual patient data meta-analysis. Eur Heart J. 2012;33(14):1750–7.

    Article  Google Scholar 

  8. Pocock SJ, Ariti CA, McMurray JJ, Maggioni A, Køber L, Squire IB, et al. Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies. Eur Heart J. 2013;34(19):1404–13.

    Article  PubMed  Google Scholar 

  9. Voulgari C, Papadogiannis D, Tentolouris N. Diabetic cardiomyopathy: from the pathophysiology of the cardiac myocytes to current diagnosis and management strategies. Vasc Health Risk Manag. 2010;6:883–903.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Bossone E, Arcopinto M, Iacoviello M, Triggiani V, Cacciatore F, Maiello C, et al. Multiple hormonal and metabolic deficiency syndrome in chronic heart failure: rationale, design, and demographic characteristics of the T.O.S.CA. Registry. Intern Emerg Med. 2018;13(5):661–71.

    Article  CAS  PubMed  Google Scholar 

  11. Cittadini A, Salzano A, Iacoviello M, Triggiani V, Rengo G, Cacciatore F, et al. Multiple hormonal and metabolic deficiency syndrome predicts outcome in heart failure: the T.O.S.CA. Registry. Eur J Prev Cardiol. 2021;28(15):1691–700.

    Article  PubMed  Google Scholar 

  12. De Giorgi A, Marra AM, Iacoviello M, Triggiani V, Rengo G, Cacciatore F, et al. Insulin-like growth factor-1 (IGF-1) as predictor of cardiovascular mortality in heart failure patients: data from the T.O.S.CA. Registry. Intern Emerg Med. 2022.

    Article  PubMed  Google Scholar 

  13. Cauwenberghs N, Knez J, Thijs L, Haddad F, Vanassche T, Yang WY, et al. Relation of insulin resistance to longitudinal changes in left ventricular structure and function in a general population. J Am Heart Assoc. 2018.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Group TS. Longitudinal changes in cardiac structure and function from adolescence to young adulthood in participants with type 2 diabetes mellitus: the TODAY follow-up study. Circ Heart Fail. 2020;13(6): e006685.

    Article  CAS  Google Scholar 

  15. Skali H, Shah A, Gupta DK, Cheng S, Claggett B, Liu J, et al. Cardiac structure and function across the glycemic spectrum in elderly men and women free of prevalent heart disease: the atherosclerosis risk in the community study. Circ Heart Fail. 2015;8(3):448–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Walker AM, Patel PA, Rajwani A, Groves D, Denby C, Kearney L, et al. Diabetes mellitus is associated with adverse structural and functional cardiac remodelling in chronic heart failure with reduced ejection fraction. Diab Vasc Dis Res. 2016;13(5):331–40.

    Article  CAS  PubMed  Google Scholar 

  17. Marra AM, Sherman AE, Salzano A, Guazzi M, Saggar R, Squire IB, et al. Right heart-pulmonary circulation unit involvement in left-sided heart failure: diagnostic, prognostic and therapeutic implications. From the forgotten chamber to the chamber of secrets. Chest. 2021.

    Article  PubMed  Google Scholar 

  18. Vonk Noordegraaf A, Westerhof BE, Westerhof N. The relationship between the right ventricle and its load in pulmonary hypertension. J Am Coll Cardiol. 2017;69(2):236–43.

    Article  PubMed  Google Scholar 

  19. Anavekar NS, Skali H, Bourgoun M, Ghali JK, Kober L, Maggioni AP, et al. Usefulness of right ventricular fractional area change to predict death, heart failure, and stroke following myocardial infarction (from the VALIANT ECHO study). Am J Cardiol. 2008;101(5):607–12.

    Article  PubMed  Google Scholar 

  20. Tello K, Axmann J, Ghofrani HA, Naeije R, Narcin N, Rieth A, et al. Relevance of the TAPSE/PASP ratio in pulmonary arterial hypertension. Int J Cardiol. 2018;266:229–35.

    Article  PubMed  Google Scholar 

  21. D’Alto M, Marra AM, Severino S, Salzano A, Romeo E, De Rosa R, et al. Right ventricular-arterial uncoupling independently predicts survival in COVID-19 ARDS. Crit Care. 2020;24(1):670.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Guazzi M, Naeije R, Arena R, Corrà U, Ghio S, Forfia P, et al. Echocardiography of right ventriculoarterial coupling combined with cardiopulmonary exercise testing to predict outcome in heart failure. Chest. 2015;148(1):226–34.

    Article  PubMed  Google Scholar 

  23. Ghio S, Guazzi M, Scardovi AB, Klersy C, Clemenza F, Carluccio E, et al. Different correlates but similar prognostic implications for right ventricular dysfunction in heart failure patients with reduced or preserved ejection fraction. Eur J Heart Fail. 2017;19(7):873–9.

    Article  CAS  PubMed  Google Scholar 

  24. Chow V, Ng AC, Chung T, Thomas L, Kritharides L. Right atrial to left atrial area ratio on early echocardiography predicts long-term survival after acute pulmonary embolism. Cardiovasc Ultrasound. 2013;11:17.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Krüchten RV, Lorbeer R, Rospleszcz S, Storz C, Askani E, Kulka C, et al. Serum insulin is associated with right ventricle function parameters and lung volumes in subjects free of cardiovascular disease. Eur J Endocrinol. 2021;184(2):289–98.

    Article  PubMed  Google Scholar 

  26. Roifman I, Ghugre N, Zia MI, Farkouh ME, Zavodni A, Wright GA, et al. Diabetes is an independent predictor of right ventricular dysfunction post ST-elevation myocardial infarction. Cardiovasc Diabetol. 2016;15:34.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Sinha A, Ning H, Ahmad FS, Bancks MP, Carnethon MR, O’Brien MJ, et al. Association of fasting glucose with lifetime risk of incident heart failure: the lifetime risk pooling project. Cardiovasc Diabetol. 2021;20(1):66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Di Carli MF, Janisse J, Grunberger G, Ager J. Role of chronic hyperglycemia in the pathogenesis of coronary microvascular dysfunction in diabetes. J Am Coll Cardiol. 2003;41(8):1387–93.

    Article  PubMed  CAS  Google Scholar 

  29. Li S, Tang X, Luo Y, Wu B, Huang Z, Li Z, et al. Impact of long-term glucose variability on coronary atherosclerosis progression in patients with type 2 diabetes: a 2.3 year follow-up study. Cardiovasc Diabetol. 2020;19(1):146.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Kobayashi Y, Christle JW, Contrepois K, Nishi T, Moneghetti K, Cauwenberghs N, et al. Peripheral oxygen extraction and exercise limitation in asymptomatic patients with diabetes mellitus. Am J Cardiol. 2021;149:132–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Takao N, Iwasaka J, Kurose S, Miyauchi T, Tamanoi A, Tsuyuguchi R, et al. Evaluation of oxygen uptake adjusted by skeletal muscle mass in cardiovascular disease patients with type 2 diabetes. J Phys Ther Sci. 2021;33(2):94–9.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Abe T, Yokota T, Fukushima A, Kakutani N, Katayama T, Shirakawa R, et al. Type 2 diabetes is an independent predictor of lowered peak aerobic capacity in heart failure patients with non-reduced or reduced left ventricular ejection fraction. Cardiovasc Diabetol. 2020;19(1):142.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Johansson I, Dahlström U, Edner M, Näsman P, Rydén L, Norhammar A. Risk factors, treatment and prognosis in men and women with heart failure with and without diabetes. Heart. 2015;101(14):1139–48.

    Article  CAS  PubMed  Google Scholar 

  34. Johansson I, Dahlström U, Edner M, Näsman P, Rydén L, Norhammar A. Type 2 diabetes and heart failure: characteristics and prognosis in preserved, mid-range and reduced ventricular function. Diab Vasc Dis Res. 2018;15(6):494–503.

    Article  PubMed  Google Scholar 

  35. Doehner W, Rauchhaus M, Ponikowski P, Godsland IF, von Haehling S, Okonko DO, et al. Impaired insulin sensitivity as an independent risk factor for mortality in patients with stable chronic heart failure. J Am Coll Cardiol. 2005;46(6):1019–26.

    Article  CAS  PubMed  Google Scholar 

  36. Deedwania P, Patel K, Fonarow GC, Desai RV, Zhang Y, Feller MA, et al. Prediabetes is not an independent risk factor for incident heart failure, other cardiovascular events or mortality in older adults: findings from a population-based cohort study. Int J Cardiol. 2013;168(4):3616–22.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Obokata M, Reddy YNV, Melenovsky V, Pislaru S, Borlaug BA. Deterioration in right ventricular structure and function over time in patients with heart failure and preserved ejection fraction. Eur Heart J. 2019;40(8):689–97.

    Article  PubMed  Google Scholar 

  38. Nagoshi T, Yoshimura M, Rosano GM, Lopaschuk GD, Mochizuki S. Optimization of cardiac metabolism in heart failure. Curr Pharm Des. 2011;17(35):3846–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Vukomanovic V, Suzic-Lazic J, Celic V, Cuspidi C, Grassi G, Galderisi M, et al. Is there association between left atrial function and functional capacity in patients with uncomplicated type 2 diabetes? Int J Cardiovasc Imaging. 2020;36(1):15–22.

    Article  PubMed  Google Scholar 

  40. Rosenkranz S, Gibbs JS, Wachter R, De Marco T, Vonk-Noordegraaf A, Vachiéry JL. Left ventricular heart failure and pulmonary hypertension. Eur Heart J. 2016;37(12):942–54.

    Article  PubMed  Google Scholar 

  41. Bytyçi I, D’Agostino A, Bajraktari G, Lindqvist P, Dini FL, Henein MY. Left atrial stiffness predicts cardiac events in patients with heart failure and reduced ejection fraction: the impact of diabetes. Clin Physiol Funct Imaging. 2021;41(2):208–16.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Khaing P, Pandit P, Awsare B, Summer R. Pulmonary circulation in obesity, diabetes, and metabolic syndrome. Compr Physiol. 2019;10(1):297–316.

    Article  PubMed  Google Scholar 

  43. Tello K, Wan J, Dalmer A, Vanderpool R, Ghofrani HA, Naeije R, et al. Validation of the tricuspid annular plane systolic excursion/systolic pulmonary artery pressure ratio for the assessment of right ventricular–arterial coupling in severe pulmonary hypertension. Circ Cardiovasc Imaging. 2019;12(9): e009047.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Marra AM, Arcopinto M, Salzano A, Bobbio E, Milano S, Misiano G, et al. Detectable interleukin-9 plasma levels are associated with impaired cardiopulmonary functional capacity and all-cause mortality in patients with chronic heart failure. Int J Cardiol. 2016;209:114–7.

    Article  PubMed  Google Scholar 

  45. McMurray JJV, DeMets DL, Inzucchi SE, Kober L, Kosiborod MN, Langkilde AM, et al. The dapagliflozin and prevention of adverse-outcomes in heart failure (DAPA-HF) trial: baseline characteristics. Eur J Heart Fail. 2019;21(11):1402–11.

    Article  CAS  PubMed  Google Scholar 

  46. Anker SD, Butler J, Filippatos G, Khan MS, Marx N, Lam CSP, et al. Effect of empagliflozin on cardiovascular and renal outcomes in patients with heart failure by baseline diabetes status: results from the EMPEROR-reduced trial. Circulation. 2021;143(4):337–49.

    Article  CAS  PubMed  Google Scholar 

  47. McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M, et al. 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: developed by the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). With the special contribution of the Heart Failure Association (HFA) of the ESC. Eur J Heart Fail. 2022;24(1):4–131.

    Article  PubMed  Google Scholar 

  48. Maddox TM, Januzzi JL, Allen LA, Breathett K, Butler J, Davis LL, et al. 2021 update to the 2017 ACC expert consensus decision pathway for optimization of heart failure treatment: answers to 10 pivotal issues about heart failure with reduced ejection fraction: a report of the American college of cardiology solution set oversight committee. J Am Coll Cardiol. 2021;77(6):772–810.

    Article  PubMed  Google Scholar 

  49. Di Salvo TG, Mathier M, Semigran MJ, Dec GW. Preserved right ventricular ejection fraction predicts exercise capacity and survival in advanced heart failure. J Am Coll Cardiol. 1995;25(5):1143–53.

    Article  PubMed  Google Scholar 

  50. Salzano A, Suzuki T, Squire IB, Cittadini A. Are heart failure observational studies still useful? “No need to argue.” Eur J Prev Cardiol. 2020.

    Article  PubMed  Google Scholar 

  51. Contaldi C, Dellegrottaglie S, Mauro C, Ferrara F, Romano L, Marra AM, et al. Role of cardiac magnetic resonance imaging in heart failure. Heart Fail Clin. 2021;17(2):207–21.

    Article  PubMed  Google Scholar 

Download references


The Registry was supported by unrestricted grant from Merck Serono Italy.


This research was supported by Novartis Farma SpA. Novartis Farma SpA also provided expert input in the development of the study protocol and support in data interpretations

Author information

Authors and Affiliations




AS, RDA, AC and AMM drafted the manuscript. All TOSCA members that were included as Authors critically revised the manuscript and agreed to be accountable for all aspects of work ensuring integrity and accuracy. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Antonio Cittadini.

Ethics declarations

Ethics approval and consent to participate

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This study was approved by the Ethics Committee for Biomedical Activity, Federico II University of Naples (Prot. N 34/13). Informed consent was obtained from all individual participants included in the study.

Consent for publication

All Authors approved the manuscript and gave their consent for publication.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.



The T.O.S.CA. investigators include: Cittadini A, Marra AM, Arcopinto M, D’Assante R, Saccà L, Monti MG, Napoli R, Matarazzo M, Stagnaro FM, Piccioli L, Lombardi A, Panicara V, Flora M, Golia L, Faga V, Ruocco A, Della Polla D, Franco R, Schiavo A, Gigante A, Spina E, Sicuranza M, Monaco F, Apicella M, Miele C, Campanino AG, Mazza L, Abete R, Farro A, Luciano F, Polizzi R, Ferrillo G, De Luca M, Crisci G, Giardino F, Barbato M (Department of Translational Medical Sciences, Federico II University, Naples, Italy); Salzano A, Ranieri B (IRCCS S.D.N., Naples, Italy); Bossone E (AORN A Cardarelli, Naples, Italy); Ferrara F, Russo V, Malinconico M, Citro R (Heart Department, Cardiology Division, "Cava de' Tirreni and Amalfi Coast" Hospital, University of Salerno, Salerno, Italy); Guastalamacchia E, Iacoviello M, Leone M, (University of Bari “Aldo Moro”, Bari. Italy); Triggiani V, Giagulli VA (Interdisciplinary Department of Medicine-Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases. University of Bari "A. Moro", Bari, Italy) Cacciatore F, Maiello C, Amarelli C, Mattucci I (Heart Transplantation Unit, Monaldi Hospital, Azienda Ospedaliera dei Colli, Naples, Italy); Limongelli G, Masarone D, Calabrò P, Calabrò R, D’Andrea A, Maddaloni V, Pacileo G, Scarafile R (Cardiology SUN, Monaldi Hospital, Azienda Ospedaliera dei Colli, Second University of Naples, Naples, Italy); Perticone F, Belfiore A, Sciacqua A, Cimellaro A (University Magna Graecia of Catanzaro, Catanzaro, Italy); Perrone Filardi P, Casaretti L, Paolillo S, Gargiulo P (Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy); Mancini A, Favuzzi AMR, Di Segni C, Bruno C, Vergani E (Operative Unit of Endocrinology, Catholic University of the Sacred Heart, Rome); Volterrani M, Massaro R (IRCCS S. Raffaele Pisana, Roma, Italy); Vriz O, Grimaldi F (Azienda Ospedaliero-Universitaria “Santa Maria della Misericordia” San Daniele del Friuli, Udine, Italy); Castello R, Frigo A (Azienda Ospedaliera Universitaria Integrata di Verona, Italy); Campo MR, Sorrentino MR (Ospedali Riuniti di Foggia, Italy); Modesti PA, Malandrino D (Università di Firenze, Italy); Manfredini R, De Giorgi A, Fabbian F (Azienda Ospedaliera-Universitaria S. Anna, Ferrara, Italy); Puzzo A, Ragusa L (I.R.C.S.S. Oasi Maria SS, Troina, Italy.); Caliendo L, Carbone L (Ospedale Santa Maria della Pietà, Nola, Napoli, Italy); Frigiola A, Generali T, Giacomazzi F, De Vincentiis C, Ballotta A (IRCCS San Donato Milanese, Milano, Italy); Garofalo P, Malizia G (Ospedali Riuniti "Villa Sofia – Cervello”, Palermo, Italy); Milano S, Misiano G (Policlinico P. Giaccone, Palermo, Italy); Suzuki T, Israr MZ, Bernieh D, Cassambai S, Yazaki Y (Department of Cardiovascular Sciences and NIHR Leicester Biomedical Research Centre, University of Leicester, Glenfield Hospital, Leicester, UK); Heaney LM (School of Sport, Exercise & Health Sciences, Loughborough University, Loughborough, UK); Eagle KA (Michigan Frankel Cardiovascular Center, University of Michigan, Ann Arbor, Michigan); Ventura HO (John Ochsner Heart and Vascular Institute, Ochsner Clinical School-the University of Queensland School of Medicine, New Orleans, Louisiana, USA); Colao A (Clinical Medicine and Surgery Department—Federico II University, Naples, Italy); Bruzzese D, Statistical Management (Department of Public Health, University Federico II of Naples, Naples, Italy).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Salzano, A., D’Assante, R., Iacoviello, M. et al. Progressive right ventricular dysfunction and exercise impairment in patients with heart failure and diabetes mellitus: insights from the T.O.S.CA. Registry. Cardiovasc Diabetol 21, 108 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: