Dataset Information

Diabetic phenotype and prognosis of patients with heart failure and preserved ejection fraction in a real life cohort.

ABSTRACT:

Background

Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome, with several underlying etiologic and pathophysiologic factors. The presence of diabetes might identify an important phenotype, with implications for therapeutic strategies. While diabetes is associated with worse prognosis in HFpEF, the prognostic impact of glycemic control is yet unknown. Hence, we investigated phenotypic differences between diabetic and non-diabetic HFpEF patients (pts), and the prognostic impact of glycated hemoglobin (HbA1C).

Methods

We prospectively enrolled 183 pts with HFpEF (78?±?9 years, 38% men), including 70 (38%) diabetics (type 2 diabetes only). They underwent 2D echocardiography (n?=?183), cardiac magnetic resonance (CMR) (n?=?150), and were followed for a combined outcome of all-cause mortality and first HF hospitalization. The prognostic impact of diabetes and glycemic control were determined with Cox proportional hazard models, and illustrated by adjusted Kaplan Meier curves.

Results

Diabetic HFpEF pts were younger (76?±?9 vs 80?±?8 years, p?=?0.002), more obese (BMI 31?±?6 vs 27?±?6 kg/m², p?=?0.001) and suffered more frequently from sleep apnea (18% vs 7%, p?=?0.032). Atrial fibrillation, however, was more frequent in non-diabetic pts (69% vs 53%, p?=?0.028). Although no echocardiographic difference could be detected, CMR analysis revealed a trend towards higher LV mass (66?±?18 vs 71?±?14 g/m², p?=?0.07) and higher levels of fibrosis (53% vs 36% of patients had ECV by T1 mapping?>?33%, p?=?0.05) in diabetic patients. Over 25?±?12 months, 111 HFpEF pts (63%) reached the combined outcome (24 deaths and 87 HF hospitalizations). Diabetes was a significant predictor of mortality and hospitalization for heart failure (HR: 1.72 [1.1-2.6], p?=?0.011, adjusted for age, BMI, NYHA class and renal function). In diabetic patients, lower levels of glycated hemoglobin (HbA1C?ConclusionOur study highlights phenotypic features characterizing diabetic patients with HFpEF. Notably, they are younger and more obese than their non-diabetic counterpart, but suffer less from atrial fibrillation. Although diabetes is a predictor of poor outcome in HFpEF, intensive glycemic control (HbA1C?

SUBMITTER: Lejeune S

PROVIDER: S-EPMC7893869 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Diabetic phenotype and prognosis of patients with heart failure and preserved ejection fraction in a real life cohort.

Lejeune Sibille S Roy Clotilde C Slimani Alisson A Pasquet Agnès A Vancraeynest David D Vanoverschelde Jean-Louis JL Gerber Bernhard L BL Beauloye Christophe C Pouleur Anne-Catherine AC

Cardiovascular diabetology 20210219 1

<h4>Background</h4>Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome, with several underlying etiologic and pathophysiologic factors. The presence of diabetes might identify an important phenotype, with implications for therapeutic strategies. While diabetes is associated with worse prognosis in HFpEF, the prognostic impact of glycemic control is yet unknown. Hence, we investigated phenotypic differences between diabetic and non-diabetic HFpEF patients (pts), and ...[more]

PMID: 33608002

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Project description:Heart failure (HF) with preserved ejection fraction (EF; HFpEF) accounts for 50% of HF cases, and its prevalence relative to HF with reduced EF continues to rise. In contrast to HF with reduced EF, large trials testing neurohumoral inhibition in HFpEF failed to reach a positive outcome. This failure was recently attributed to distinct systemic and myocardial signaling in HFpEF and to diversity of HFpEF phenotypes. In this review, an HFpEF treatment strategy is proposed that addresses HFpEF-specific signaling and phenotypic diversity. In HFpEF, extracardiac comorbidities such as metabolic risk, arterial hypertension, and renal insufficiency drive left ventricular remodeling and dysfunction through systemic inflammation and coronary microvascular endothelial dysfunction. The latter affects left ventricular diastolic dysfunction through macrophage infiltration, resulting in interstitial fibrosis, and through altered paracrine signaling to cardiomyocytes, which become hypertrophied and stiff because of low nitric oxide and cyclic guanosine monophosphate. Systemic inflammation also affects other organs such as lungs, skeletal muscle, and kidneys, leading, respectively, to pulmonary hypertension, muscle weakness, and sodium retention. Individual steps of these signaling cascades can be targeted by specific interventions: metabolic risk by caloric restriction, systemic inflammation by statins, pulmonary hypertension by phosphodiesterase 5 inhibitors, muscle weakness by exercise training, sodium retention by diuretics and monitoring devices, myocardial nitric oxide bioavailability by inorganic nitrate-nitrite, myocardial cyclic guanosine monophosphate content by neprilysin or phosphodiesterase 9 inhibition, and myocardial fibrosis by spironolactone. Because of phenotypic diversity in HFpEF, personalized therapeutic strategies are proposed, which are configured in a matrix with HFpEF presentations in the abscissa and HFpEF predispositions in the ordinate.

Project description:AIMS:The study aimed at investigating the use of guideline-recommended diagnostic tools and medication in patients with heart failure (HF) in specialty care in Southwest Finland. We also compared the characteristics of the diagnosed and undiagnosed patients as well as laboratory tests, procedures, and treatments in everyday clinical practice. METHODS AND RESULTS:Patients diagnosed with HF, cardiomyopathy, or hypertension-induced heart disease (n = 20 878, primary cohort) or not diagnosed with HF but having a record of elevated N-terminal pro-brain natriuretic peptide (NT-proBNP) (>125 ng/L, n = 24 321, secondary cohort) were included in the study from the specialty care patient register of the Hospital District of Southwest Finland during the years 2005-2017. Among patients with an International Classification of Diseases, Tenth Revision (ICD-10) code for HF, only 50% had ejection fraction (EF) data to be found by data mining from the electronic health records. Of these patients, 39% (n = 4042) had EF ? 40% [HF with reduced EF (HFrEF)] and 61% (n = 6347) had EF > 40%. Elevated NT-proBNP together with EF > 40% narrowed down the number to 4590 patients, a population defined as HF with preserved EF (HFpEF) patients. HFpEF patients were further stratified into HF with mildly reduced EF (HFmrEF; EF 41-50%, n = 1468) and EF > 50% patients (n = 3122) to compare clinical characteristics. NT-proBNP was higher within the HFrEF patients vs. HFpEF {4580 [inter-quartile range (IQR): 2065-9765] vs. 2900 [2065-9765] ng/L, P < 0.001}. Baseline co-morbidities differed between HFpEF and HFrEF groups. Further, HFpEF patients had more procedures and lab tests taken prior to diagnosis than had HFrEF patients. HFmrEF patients were found to resemble more HFrEF than EF > 50% patients. In 70% (n = 17 156) of patients in the secondary cohort, the NT-proBNP concentrations were >300 ng/L, median was 1090 (IQR 551-2558) ng/L and EF 58.4 ± 12.1% (n with EF available = 6845). Reduced EF was present in 6.8% of patients lacking HF diagnosis. CONCLUSIONS:Half of the patients with ICD-10 code for HF did not have EF data available after a visit at specialty care. In particular, the diagnosis of HFpEF seems challenging, reflected as an increase in procedures and laboratory test preceding diagnosis compared with those in HFrEF patients. Also, a large proportion of patients did not have HF diagnosis, yet they presented elevated NT-proBNP concentrations and clinical characteristics resembling those of HFpEF patients.

Dataset Information

Diabetic phenotype and prognosis of patients with heart failure and preserved ejection fraction in a real life cohort.

Background

Methods

Results

Publications

Diabetic phenotype and prognosis of patients with heart failure and preserved ejection fraction in a real life cohort.

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