Exercise training improves exercise capacity and physical dimensions of QoL in HFpEF. This benefit is associated with atrial reverse remodeling and improved left ventricular diastolic function. (Exercise Training in Diastolic Heart Failure-Pilot Study: A Prospective, Randomised, Controlled Study to Determine the Effects of Physical Training on Exercise Capacity and Quality of Life [Ex-DHF-P]; ISRCTN42524037).
Background and Purpose-Diagnosis of paroxysmal atrial fibrillation is difficult but highly relevant in patients presenting withcerebral ischemia yet free from atrial fibrillation on admission. Early initiation and prolongation of continuous Holter monitoring may improve diagnostic yield compared with the standard of care including a 24-hour Holter recording. Methods-In the observational Find-AF trial (ISRCTN 46104198), consecutive patients presenting with symptoms of cerebral ischemia were included. Patients free from atrial fibrillation at presentation received 7-day Holter monitoring. Results-Two hundred eighty-one patients were prospectively included. Forty-four (15.7%) had atrial fibrillation documented by routine electrocardiogram on admission. All remaining patients received Holter monitors at a median of 5.5 hours after presentation. In those 224 patients who received Holter monitors but had no previously known paroxysmal atrial fibrillation, the detection rate with early and prolonged (7 days) Holter monitoring (12.5%) was significantly higher than for any 24-hour (mean of 7 intervals: 4.8%, Pϭ0.015) or any 48-hour monitoring interval (mean of 6 intervals: 6.4%, Pϭ0.023). Of those 28 patients with new atrial fibrillation on Holter monitoring, 15 (6.7%) had been discharged without therapeutic anticoagulation after routine clinical care (ie, with data from 24-hour Holter monitoring only). Detection rates were 43.8% or 6.3% for short supraventricular runs of Ն10 beats or prolonged episodes (Ͼ5 hours) of atrial fibrillation, respectively. Diagnostic yield appeared to be only slightly and not significantly increased during the first 3 days after the index event. Conclusions-Prolongation of Holter monitoring in patients with symptoms of cerebral ischemic events increases the rate of detection of paroxysmal atrial fibrillation up to Day 7, leading to a relevant change in therapy in a substantial number of patients. Early initiation of monitoring does not appear to be crucial. Hence, prolonged Holter monitoring (Ն7 days) should be considered for all patients with unexplained cerebral ischemia. (Stroke. 2010;41:2884-2888.)
Aims/hypothesisHyperglycaemia and insulin resistance have been linked to diastolic dysfunction experimentally. We investigated the association between glucose metabolism and diastolic function along the whole spectrum of glucose metabolism states.MethodsIn the observational Diagnostic Trial on Prevalence and Clinical Course of Diastolic Dysfunction and Diastolic Heart Failure (DIAST-CHF) study, patients with risk factors for heart failure were included. We analysed data including comprehensive echocardiography from a subgroup of patients classified by OGTT and history as normal (n = 343), prediabetic (n = 229) and non-insulin treated (n = 335) or insulin-treated (n = 178) type 2 diabetic.ResultsWhile ejection fraction did not differ, markers of diastolic function significantly worsened across groups. Prediabetes represented an intermediate between normal glucose metabolism and diabetes with regard to echocardiography changes. Prevalence and severity of diastolic dysfunction increased significantly (p < 0.001) along the diabetic continuum. Glucose metabolism status was significantly associated with prevalence of diastolic dysfunction on multivariate logistic regression analysis. In the whole cohort, HbA1c correlated with early diastolic mitral inflow velocity (E):early diastolic tissue Doppler velocity at mitral annulus (e′) ratio (E:e′) (r = 0.20, p < 0.001). HbA1c was significantly associated with E:e′ on multivariate analysis. Similarly, glucose metabolism status was significantly associated with E:e′ on multivariate analysis. The distance walked in 6 min decreased along the diabetic spectrum and was significantly correlated with E:e′ and grade of diastolic dysfunction.Conclusions/interpretationGlucose metabolism is associated with diastolic dysfunction across the whole spectrum. Our data extend previous observations into the prediabetic and normal range, and may be relevant to preventive approaches, as no effective treatment has been identified for diastolic heart failure once established.
AimsHeart failure with normal ejection fraction (HFnEF) is an important clinical entity that remains incompletely understood. The novel biomarker growth differentiation factor 15 (GDF-15) is elevated in systolic heart failure (HFrEF) and is predictive of an adverse outcome. We investigated the clinical relevance of GDF-15 plasma levels in HFnEF.Methods and resultsA subgroup of patients from the ongoing DIAST-CHF observational trial, with a history of chronic heart failure (CHF) or positive Framingham criteria at presentation, was selected. Patients were classified as having either HFrEF (n = 86) or HFnEF (n = 142) and compared with healthy elderly controls (n = 188) from the same cohort. Growth differentiation factor 15 levels in HFnEF were significantly higher than in controls and similar to those in HFrEF. In multivariate analysis, factors significantly associated with GDF-15 levels were age, sex, estimated glomerular filtration rate (eGFR), presence of HFrEF and HFnEF. Growth differentiation factor 15 correlated with multiple echocardiographic markers of diastolic function and was associated with 6 min walk test performance and SF-36 physical score on multivariate analysis in all patients. When using a classification for HFnEF that did not employ N-terminal pro brain natriuretic peptide (NT-proBNP) as a diagnostic criterion, the diagnostic properties of GDF-15 for detecting HFnEF tended to be superior to those of NT-proBNP, and a combination significantly improved diagnostic accuracy.ConclusionGrowth differentiation factor 15 is elevated in HFnEF to a similar degree as in HFrEF. It is independently associated with impairment in exercise capacity and in physical components of quality of life. Diagnostic precision of GDF-15 is at least as good as that of NT-proBNP and combining both markers improves diagnostic accuracy.
BackgroundComorbidities negatively affect prognosis more strongly in heart failure with preserved (HFpEF) than with reduced (HFrEF) ejection fraction. Their comparative impact on physical impairment in HFpEF and HFrEF has not been evaluated so far.Methods and resultsThe frequency of 12 comorbidities and their impact on NYHA class and SF-36 physical functioning score (SF-36 PF) were evaluated in 1,294 patients with HFpEF and 2,785 with HFrEF. HFpEF patients had lower NYHA class (2.0 ± 0.6 vs. 2.4 ± 0.6, p < 0.001) and higher SF-36 PF score (54.4 ± 28.3 vs. 54.4 ± 27.7, p < 0.001). All comorbidities were significantly (p < 0.05) more frequent in HFrEF, except hypertension and obesity, which were more frequent in HFpEF (p < 0.001). Adjusting for age and gender, COPD, anemia, hyperuricemia, atrial fibrillation, renal dysfunction, cerebrovascular disease and diabetes had a similar (p for interaction > 0.05) negative effect in both groups. Obesity, coronary artery disease and peripheral arterial occlusive disease exerted a significantly (p < 0.05) more adverse effect in HFpEF, while hypertension and hyperlipidemia were associated with fewer (p < 0.05) symptoms in HFrEF only. The total impact of comorbidities on NYHA (AUC for prediction of NYHA III/IV vs. I/II) and SF-36 PF (r2) in multivariate analyses was approximately 1.5-fold higher in HFpEF, and also much stronger than the impact of a 10% decrease in ejection fraction in HFrEF or a 5 mm decrease in left ventricular end-diastolic diameter in HFpEF.ConclusionThe impact of comorbidities on physical impairment is higher in HFpEF than in HFrEF. This should be considered in the differential diagnosis and in the treatment of patients with HFpEF.
We investigated whether obstructive sleep apnoea (OSA) independently affects diastolic function in a primary care cohort of patients with cardiovascular risk factors.378 study participants with risk factors for diastolic dysfunction were prospectively included and a polygraphy was performed in all patients. Diastolic dysfunction was assessed by comprehensive echocardiography including tissue Doppler. Sleep apnoea was classified according to apnoea/ hypopnoea index (AHI) as none (AHI ,5 events?h ). Patients with central sleep apnoea (n514) and patients with previously diagnosed sleep apnoea (n512) were excluded. In the remaining 352 subjects, 21.6% had an AHI o15 events?h -1 . The prevalence of diastolic dysfunction increased with the severity of sleep apnoea from 44.8% (none) to 56.8% (mild) to 69.7% (moderate-to-severe sleep apnoea) (p50.002). The degree of diastolic dysfunction also increased with sleep apnoea severity (p50.004). In univariate regression analysis, age, desaturation index, AHI, cardiac frequency, angiotensin receptor 1 antagonist therapy, body mass index (BMI) and left ventricular mass were associated with diastolic dysfunction. In multivariate regression analysis, only age, BMI, AHI and cardiac frequency were independently associated with diastolic dysfunction.Moderate-to-severe OSA is independently associated with diastolic dysfunction in patients with classical risk factors for diastolic dysfunction.
Background and Purpose-We assessed whether echocardiography can predict paroxysmal atrial fibrillation (PAF) in patients with cerebral ischemia presenting in sinus rhythm. Methods-Within
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.