HF Prevalence and Evolution of HF in DM II Patients at High Risk

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Background/Rationale: Heart failure (HF) is a major contributor to cardiovascular morbidity and mortality, and one of the most common urgent cardiovascular (CV) presentations in patients with diabetes mellitus (DM). The incidence of HF is higher in adults with DM than in those without. In addition, ...

Background/Rationale: Heart failure (HF) is a major contributor to cardiovascular morbidity and mortality, and one of the most common urgent cardiovascular (CV) presentations in patients with diabetes mellitus (DM). The incidence of HF is higher in adults with DM than in those without. In addition, among patients with HF, those diagnosed with DM have a higher risk of CV death or hospitalization for HF (HHF). As a result of the intersection of DM, atherosclerotic CV disease, and HF, the importance of determining diabetes therapies that are not only safe but also effective in reducing CV risk is paramount. Recently, three large randomized trials have shown that sodium-glucose transport protein 2 (SGLT2) inhibitors, used for the treatment of DM, significantly reduced the risk for HHF. In addition, recent evidence indicates the beneficial effects of the SGLT2 inhibitor dapagliflozin in terms of reducing the risk of worsening HF or CV-related death in patients with established HF and a reduced ejection fraction, regardless of the presence or absence of DM. As per the American College of Cardiology/American Heart Association (ACC/AHA), patients with DM have at least stage A HF; thus, early identification of patients at higher risk and prompt intervention with medical treatments may not only provide symptomatic relief but also delay the development of HF. In view of the scarce epidemiological data regarding the classification of HF stages among diabetics and the fact that imaging and circulating biomarkers could be of significant prognostic value, there is an eminent need for comprehensive phenotypic characterization of high-risk patients that could provide valuable insight to support the optimal care transition and timely referral of patients with unrecognized HF who fit a particular profile to HF specialists for appropriate diagnostic evaluation and planning of optimal treatment and follow-up care. In light of the above, this epidemiological study aims to generate novel real-world data on the prevalence and evolution of HF stages as well as to explore potential determinants of the development of symptomatic HF, among patients diagnosed with type 2 DM (T2DM) in the past 5 years who are at high CV risk, in Greece. This study, complemented with cardiac imaging and circulating biomarkers data, could provide the necessary data for the creation of an algorithm for the selection of a high-risk population that could draw a greater benefit from medical interventions. Furthermore, the study will attempt to measure the burden of HF- and CV-related healthcare resource utilisation (HCRU) by HF stage and to capture the impact of symptomatic HF on patient-perceived health status. Objectives and Hypotheses: The study is not planned to reject or affirm any formal statistical hypothesis. It is noted that the term 'overall study population' used in the objectives below encompasses high CV risk T2DM patients undiagnosed with HF at study enrollment who fulfil the study eligibility criteria. Primary Objective The primary objective of this study is to estimate the prevalence of previously undiagnosed, symptomatic (clinically overt) HF and to determine the distribution of HF stages (as defined by the ACC/AHA classification) in the overall study population and by New York Heart Association (NYHA) functional classification. Secondary Objectives To assess the evolution of HF stages and of the severity of functional limitation imposed by HF (as assessed by NYHA classification) over the 2-year observation period in the overall study population and by HF stage at enrollment. To estimate the incidence of symptomatic HF over the 2-year observation period in the study subpopulation with preclinical HF (Stages A and B) at enrollment. To estimate the rate of progression from asymptomatic left ventricular dysfunction (Stage B) at enrollment to symptomatic HF, in the study subpopulation with HF Stage B at enrollment. To characterize the baseline clinical, biochemical and echocardiographic profile in the overall study population and by HF stage at enrollment. To capture the patient-perceived impact of HF on health status (symptoms, function, and quality of life) and to measure the change in health status from enrollment at 6 and 24 months post-enrollment using the short version of the HF-specific Kansas City Cardiomyopathy Questionnaire (KCCQ-12) in the study subpopulation diagnosed with symptomatic HF (Stage C) at enrollment. To assess the HF- and CV-related HCRU in terms of inpatient and outpatient healthcare encounters and use of medical procedures/interventions/tests over the 2-year observation period in the overall study population and by HF stage at enrollment. Exploratory Objectives To identify which baseline clinical, echocardiographic and biochemical parameters of interest are associated with the HF stage at enrollment and to determine potential predictors of symptomatic HF. To identify baseline clinical, echocardiographic and biochemical parameters that are associated with progression from preclinical to symptomatic HF, in the study subpopulation with preclinical HF at enrollment. To explore whether the change in NT-proBNP level from enrollment to 6 months can serve as a possible predictor for HF- and CV-related morbidity and mortality outcomes in the overall study population. To identify number of patients who experience an acute kidney injury event To explore changes in eGFR during the study observation period Methods: Study design: This is an epidemiological, single-country, multicenter, 2-year prospective cohort study based on both primary and secondary data collection, which will include a representative sample of 300 eligible T2DM patients managed in real-life settings in Greece. A cross-sectional approach will be applied for addressing the primary objective of the study (prevalence of HF) and for determining potential predictors associated with HF stage and the presence of symptomatic HF at enrollment, whereas the prospective cohort phase will capture the 2-year incidence rate of progression to symptomatic HF as well the long-term outcomes of interest. ?he study will be conducted and reported as per the Good Pharmacoepidemiology Practice and the local rules and regulations. The study will be carried out by approximately 8 cardiology departments that are HF centers of excellence. In addition, aiming at facilitating recruitment, a referral network will be formed comprising endocrinologists, diabetologists, internists and general practitioners treating DM and practicing at the private healthcare sector or at public health facilities. The overall study duration is expected to be 32 months, including an 8-month recruitment period and a 24-month observation period per patient. ?ach patient will be followed for up to 24 months, or until death, withdrawal of consent, or physician's decision for patient withdrawal, whichever occurs earlier. Follow-up visit frequency will be determined by the participating Investigators, however study-related data will be collected at enrollment and at 6-, 12-, 18-, and 24-month data collection timepoints post-enrollment. Data collection at enrollment, and at 6 and 24 months post-enrollment will be performed in the context of on-site routine clinical visits at the hospital sites whereas data collection at 12 and 18 months will be performed through telephone contacts. Data Source(s): Data collection will be carried through a web-based data capture system (eCRF). Primary data -which will be obtained at enrollment and prospectively during the study visits/contacts as performed per standard clinical practice or through patient self-report- will mainly be employed. Data regarding the patient-perceived health status will be collected through completion of the KCCQ-12 instrument at enrollment and at 6 and 24 months post-enrollment. Data regarding the patient's medical, DM- and CV-related history will be abstracted from patients' medicals records and patient self-report, where applicable. Clinical decisions concerning the optimum diabetes, HF and CV risk management strategy for a particular patient are taken independently of and/or prior to any decision by the physician to invite a patient to participate in the study. The medications administered for T2DM, HF, CV diseases and any underlying CV risk factors will be recorded and presented only by drug classes.

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