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The perspective on amyloidosis has changed deeply over the last 10 years following major advances in diagnosis and treatment options, especially in cardiac amyloidosis. This intrinsically heterogeneous disease exposes to the risk of fragmentation of knowledge and requires the interaction among experts of different specialties and subspecialties. Suspicion of disease, timely recognition and confirmation of final diagnosis, prognostic stratification, clinical management and therapeutic strategies represent essential steps to be taken. Missing or delaying the diagnosis may have dramatic impact on patient outcome, as in the case of chemotherapy in unrecognized light-chain amyloidosis. Therefore, there is an urgent need for the foundation of an Italian Amyloidosis Network to deal with the challenges of this condition and orient clinical management at national and local levels. The present consensus document aims to provide the rationale and scopes of the Italian Amyloidosis Network, which has been conceived as an organizational framework for professionals managing patients with amyloidosis.

Background 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. Methods 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. Results 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 2) 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 2 in the T2D group (+ 13% increase in RV dimension, − 21% decline in TAPSE/PAPS ratio and − 20% decrease in peak VO2). Conclusion 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 ClinicalTrials.gov identifier: NCT023358017

BackgroundIn non-randomized studies (NRSs) where a continuous outcome variable (e.g., depressive symptoms) is assessed at baseline and follow-up, it is common to observe imbalance of the baseline values between the treatment/exposure group and control group. This may bias the study and consequently a meta-analysis (MA) estimate. These estimates may differ across statistical methods used to deal with this issue. Analysis of individual participant data (IPD) allows standardization of methods across studies. We aimed to identify methods used in published IPD-MAs of NRSs for continuous outcomes, and to compare different methods to account for baseline values of outcome variables in IPD-MA of NRSs using two empirical examples from the Thyroid Studies Collaboration (TSC).MethodsFor the first aim we systematically searched in MEDLINE, EMBASE, and Cochrane from inception to February 2021 to identify published IPD-MAs of NRSs that adjusted for baseline outcome measures in the analysis of continuous outcomes. For the second aim, we applied analysis of covariance (ANCOVA), change score, propensity score and the naïve approach (ignores the baseline outcome data) in IPD-MA from NRSs on the association between subclinical hyperthyroidism and depressive symptoms and renal function. We estimated the study and meta-analytic mean difference (MD) and relative standard error (SE). We used both fixed- and random-effects MA.ResultsTen of 18 (56%) of the included studies used the change score method, seven (39%) studies used ANCOVA and one the propensity score (5%). The study estimates were similar across the methods in studies in which groups were balanced at baseline with regard to outcome variables but differed in studies with baseline imbalance. In our empirical examples, ANCOVA and change score showed study results on the same direction, not the propensity score. In our applications, ANCOVA provided more precise estimates, both at study and meta-analytical level, in comparison to other methods. Heterogeneity was higher when change score was used as outcome, moderate for ANCOVA and null with the propensity score.ConclusionANCOVA provided the most precise estimates at both study and meta-analytic level and thus seems preferable in the meta-analysis of IPD from non-randomized studies. For the studies that were well-balanced between groups, change score, and ANCOVA performed similarly.

ObjectiveFew prospective studies have assessed whether individuals with subclinical thyroid dysfunction are more likely to develop diabetes, with conflicting results. In this study, we conducted a systematic review of the literature and an individual participant data analysis of multiple prospective cohorts to investigate the association between subclinical thyroid dysfunction and incident diabetes.MethodsWe performed a systematic review of the literature in Medline, Embase, and the Cochrane Library from inception to February 11, 2022. A two-stage individual participant data analysis was conducted to compare participants with subclinical hypothyroidism and subclinical hyperthyroidism vs euthyroidism at baseline and the adjusted risk of developing diabetes at follow-up.ResultsAmong 61 178 adults from 18 studies, 49% were females, mean age was 58 years, and mean follow-up time was 8.2 years. At the last available follow-up, there was no association between subclinical hypothyroidism and incidence of diabetes (odds ratio (OR) = 1.02, 95% CI: 0.88–1.17, I2 = 0%) or subclinical hyperthyroidism and incidence of diabetes (OR = 1.03, 95% CI: 0.82–1.30, I2 = 0%), in age- and sex-adjusted analyses. Time-to-event analysis showed similar results (hazard ratio for subclinical hypothyroidism: 0.98, 95% CI: 0.87–1.11; hazard ratio for subclinical hyperthyroidism: 1.07, 95% CI: 0.88–1.29). The results were robust in all sub-group and sensitivity analyses.ConclusionsThis is the largest systematic review and individual participant data analysis to date investigating the prospective association between subclinical thyroid dysfunction and diabetes. We did not find an association between subclinical thyroid dysfunction and incident diabetes. Our results do not support screening patients with subclinical thyroid dysfunction for diabetes.Significance statementEvidence is conflicting regarding whether an association exists between subclinical thyroid dysfunction and incident diabetes. We therefore aimed to investigate whether individuals with subclinical thyroid dysfunction are more prone to develop diabetes in the long run as compared to euthyroid individuals. We included data from 18 international cohort studies with 61 178 adults and a mean follow-up time of 8.2 years. We did not find an association between subclinical hypothyroidism or subclinical hyperthyroidism at baseline and incident diabetes at follow-up. Our results have clinical implications as they neither support screening patients with subclinical thyroid dysfunction for diabetes nor treating them in the hope of preventing diabetes in the future. Objective: Few prospective studies have assessed whether individuals with subclinical thyroid dysfunction are more likely to develop diabetes, with conflicting results. In this study, we conducted a systematic review of the literature and an individual participant data analysis of multiple prospective cohorts to investigate the association between subclinical thyroid dysfunction and incident diabetes. Methods: We performed a systematic review of the literature in Medline, Embase, and the Cochrane Library from inception to February 11, 2022. A two-stage individual participant data analysis was conducted to compare participants with subclinical hypothyroidism and subclinical hyperthyroidism vs euthyroidism at baseline and the adjusted risk of developing diabetes at follow-up. Results: Among 61 178 adults from 18 studies, 49% were females, mean age was 58 years, and mean follow-up time was 8.2 years. At the last available follow-up, there was no association between subclinical hypothyroidism and incidence of diabetes (odds ratio (OR) = 1.02, 95% CI: 0.88-1.17, I2 = 0%) or subclinical hyperthyroidism and incidence of diabetes (OR = 1.03, 95% CI: 0.82-1.30, I2 = 0%), in age- and sex-adjusted analyses. Time-to-event analysis showed similar results (hazard ratio for subclinical hypothyroidism: 0.98, 95% CI: 0.87-1.11; hazard ratio for subclinical hyperthyroidism: 1.07, 95% CI: 0.88-1.29). The results were robust in all sub-group and sensitivity analyses. Conclusions: This is the largest systematic review and individual participant data analysis to date investigating the prospective association between subclinical thyroid dysfunction and diabetes. We did not find an association between subclinical thyroid dysfunction and incident diabetes. Our results do not support screening patients with subclinical thyroid dysfunction for diabetes. Significance statement: Evidence is conflicting regarding whether an association exists between subclinical thyroid dysfunction and incident diabetes. We therefore aimed to investigate whether individuals with subclinical thyroid dysfunction are more prone to develop diabetes in the long run as compared to euthyroid individuals. We included data from 18 international cohort studies with 61 178 adults and a mean follow-up time of 8.2 years. We did not find an association between subclinical hypothyroidism or subclinical hyperthyroidism at baseline and incident diabetes at follow-up. Our results have clinical implications as they neither support screening patients with subclinical thyroid dysfunction for diabetes nor treating them in the hope of preventing diabetes in the future.

Aims Recent evidence supports the occurrence of multiple hormonal and metabolic deficiency syndrome (MHDS) in chronic heart failure (CHF). However, no large observational study has unequivocally demonstrated its impact on CHF progression and outcome. The T.O.S.CA. (Trattamento Ormonale nello Scompenso CArdiaco; Hormone Treatment in Heart Failure) Registry has been specifically designed to test the hypothesis that MHDS affects morbidity and mortality in CHF patients. Methods and Results The T.O.S.CA. Registry is a prospective, multicentre, observational study involving 19 Italian centres. Thyroid hormones, insulin-like growth factor-1, total testosterone, dehydropianoandrosterone sulfate, insulin resistance, and the presence of diabetes were evaluated. A MHDS was defined as the presence of ≥2 hormone deficiencies (HDs). Primary endpoint was a composite of all-cause mortality and cardiovascular hospitalizations. Four hundred and eighty heart failure patients with ejection fraction ≤45% were enrolled. MHDS or diabetes was diagnosed in 372 patients (77.5%). A total of 271 events (97 deaths and 174 cardiovascular hospitalizations) were recorded, 41% in NO-MHDS and 62% in MHDS (P Conclusion MHDS is common in CHF and independently associated with increased all-cause mortality and cardiovascular hospitalization, representing a promising therapeutic target. Trial registration ClinicalTrials.gov identifier: NCT023358017

Type 2 sodium-glucose co-transporter inhibitors (SGLT2i) are a new drug class with extremely relevant benefits in the prevention and treatment of heart failure (HF). In type 2 diabetic patients with both high cardiovascular risk and known cardiovascular disease, SGLT2i proved effective in reducing the risk of HF hospitalizations as well as the progression of renal disease. New evidence in patients with chronic HF and reduced ejection fraction (HFrEF) has also demonstrated their prognostic beneficial effects both in patients with and without type 2 diabetes mellitus. Based on these data, the use of this class of drugs in daily clinical practice is of primary importance to prevent HF hospitalization in diabetic patients and to improve the prognosis of HFrEF regardless of the presence of diabetes. In these patients, SGLT2i act synergistically with drugs capable of modulating the neurohormonal systems, thus allowing a further prognostic benefit.

Heart failure (HF) is still characterized by high mortality rates, despite the progress achieved in terms of treatment options. With regard to the treatment of HF with reduced ejection fraction (HFrEF), the 2016 European Society of Cardiology guidelines included in the therapeutic algorithm the angiotensin receptor-neprilysin inhibitor class, whose efficacy in modifying patient prognosis has been extensively proven in many clinical studies. Sacubitril/valsartan, the only representative of this drug class, can effectively affect the natural history of HF, thus reducing cardiovascular mortality (sudden death and death due to worsening cardiac function), total mortality, as well as first and recurrent hospitalization events, by improving renal function, cardiac remodeling, functional capacity and the patient's health-related quality of life.The purpose of this article is to analyze the different phases of the journey of patients with HFrEF (first general practitioner consultation; admission to the emergency department and subsequent hospitalization; referral to a specialist HF clinic) and promotion of a networking approach involving the general practitioner, the hospital and the HF specialist based on common pre-defined diagnostic and therapeutic protocols, that meets patient needs at all stages of the disease (case-specific dosing assessment, drug titration before follow-up and prevention of adverse events).