12 research outputs found

    Effect of a patient engagement tool on positive airway pressure adherence: analysis of a German healthcare provider database

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    Objective/background: This study investigated the addition of a real-time feedback patient engagement tool on positive airway pressure (PAP) adherence when added to a proactive telemedicine strategy. Patients/methods: Data from a German healthcare provider (ResMed Healthcare Germany) were retrospectively analyzed. Patients who first started PAP therapy between 1 September 2009 and 30 April 2014, and were managed using telemedicine (AirViewℱ; proactive care) or telemedicine + patient engagement tool (AirViewℱ + myAirℱ; patient engagement) were eligible. Patient demographics, therapy start date, sleep- disordered breathing indices, device usage hours, and therapy termination rate were obtained and compared between the two groups. Results: The first 500 patients managed by telemedicine-guided care and a patient engagement tool were matched with 500 patients managed by telemedicine-guided care only. The proportion of nights with device usage ≄4 h was 77 ± 25% in the patient engagement group versus 63 ± 32% in the proactive care group (p < 0.001). Therapy termination occurred less often in the patient engagement group (p < 0.001). The apnea-hypopnea index was similar in the two groups, but leak was significantly lower in the patient engagement versus proactive care group (2.7 ± 4.0 vs 4.1 ± 5.3 L/min; p < 0.001). Conclusions: Addition of a patient engagement tool to telemonitoring-guided proactive care was associated with higher device usage and lower leak. This suggests that addition of an engagement tool may help improve PAP therapy adherence and reduce mask leak

    Determining the prevalence and predictors of sleep disordered breathing in patients with chronic heart failure: rationale and design of the SCHLA-HF registry

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    BACKGROUND: The objective of the SCHLA-HF registry is to investigate the prevalence of sleep-disordered breathing (SDB) in patients with chronic heart failure with reduced left ventricular systolic function (HF-REF) and to determine predictors of SDB in such patients. METHODS: Cardiologists in private practices and in hospitals in Germany are asked to document patients with HF-REF into the prospective SCHLA-HF registry if they meet predefined inclusion and exclusion criteria. Screening was started in October 2007 and enrolment was completed at the end of May 2013. After enrolment in the registry, patients are screened for SDB. SDB screening is mainly undertaken using the validated 2-channel ApneaLinkℱ device (nasal flow and pulse oximetry; ResMed Ltd., Sydney, Australia). Patients with a significant number of apneas and hypopneas per hour recording time (AHI ≄15/h) and/or clinical symptoms suspicious of SDB will be referred to a cooperating sleep clinic for an attended in-lab polysomnography with certified scoring where the definite diagnosis and, if applicable, the differentiation between obstructive and central sleep apnea will be made. Suggested treatment will be documented. DISCUSSION: Registries play an important role in facilitating advances in the understanding and management of cardiovascular disease. The SCHLA-HF registry will provide consistent data on a large group of patients with HF-REF that will help to answer questions on the prevalence, risk factors, gender differences and stability of SDB in these patients by cross-sectional analyses. Further insight into the development of SDB will be gained by extension of the registry to include longitudinal data

    Predictors of positive airway pressure therapy termination in the first year: analysis of big data from a German homecare provider

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    Abstract Background There is a lack of robust data about factors predicting continuation (or termination) of positive airway pressure therapy (PAP) for sleep apnea. This analysis of big data from a German homecare provider describes patients treated with PAP, analyzes the therapy termination rate over the first year, and investigates predictive factors for therapy termination. Methods Data from a German homecare service provider were analyzed retrospectively. Patients who had started their first PAP therapy between September 2009 and April 2014 were eligible. Patient demographics, therapy start date, and the date of and reason for therapy termination were obtained. At 1 year, patients were classified as having compliance-related therapy termination or remaining on therapy. These groups were compared, and significant predictors of therapy termination determined. Results Of 98,329 patients included in the analysis, 11,702 (12%) terminated PAP therapy within the first year (after mean 171 ± 91 days). There was a U-shaped relationship between therapy termination and age; therapy termination was higher in the youngest (< 30 years, 15.5%) and oldest (≄ 80 years, 19.8%) patients, and lower in those aged 50–59 years (9.9%). Therapy termination was significantly more likely in females versus males (hazard ratio 1.48, 95% confidence interval 1.42–1.54), in those with public versus private insurance (1.75, 1.64–1.86) and in patients whose first device was automatically adjusting or fixed-level continuous positive airway pressure versus bilevel or adaptive servo-ventilation (1.28, 1.2–1.38). Conclusions This analysis of the largest dataset investigating PAP therapy termination identified a number of predictive factors. These can help health care providers chose the most appropriate PAP modality, identify specific patient phenotypes at higher risk of stopping PAP and target interventions to support ongoing therapy to these groups, as well as allow them to develop a risk stratification tool

    Prevalence and Predictors of Sleep-Disordered Breathing in Patients With Stable Chronic Heart Failure

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    OBJECTIVES This prospective study investigated the prevalence of sleep-disordered breathing (SDB) and its predictors in patients with stable chronic heart failure (HF). BACKGROUND SDB is increasingly recognized as being important in patients with HF. METHODS The multicenter SchlaHF (Sleep-Disordered Breathing in Heart Failure) registry provides demographic and clinical data on chronic, stable, symptomatic patients with HF (New York Heart Association functional class >= II; left ventricular rejection fraction 50 to 60, >60 to 70, >70 to 80, and >80 years, respectively). Risk factors for SDB were body mass index (per 5 units; odds ratio [OR]: 1.29; 95% confidence interval [CI]: 1.22 to 1.36), left ventricular rejection fraction (per 5% decrement from 45%; OR: 1.10; 95% CI: 1.06 to 1.14), age (per 10-year difference to 60 years; OR: 1.41; 95% CI: 1.34 to 1.49), atrial fibrillation (OR: 1.19; 95% CI: 1.06 to 1.34), and male sex (OR: 1.90; 95% CI: 1.67 to 2.17). CONCLUSIONS SchlaHF registry data demonstrate a high prevalence of SDB in a representative population of stable patients with chronic HF receiving contemporary medical management. Male sex, age, body mass index, and the severity of both symptoms and left ventricular dysfunction were clinical predictors for prevalent SOB. (Prevalence, Clinical Characteristics and Type of Sleep-disordered Breathing in Patients With Chronic, Symptomatic, Systolic Heart Failure; NCT01500759) (C) 2016 by the American College of Cardiology Foundation

    Prevalence and predictors of sleep-disordered breathing in chronic heart failure: the SchlaHF-XT registry

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    Aims Heart failure with preserved ejection fraction (HFpEF) is a condition with increasing prevalence. Sleep-disordered breathing (SDB) is an important co-morbidity in HFpEF. The SchlaHF-XT registry evaluated the sex-specific prevalence and predictors of SOB, including obstructive (OSA) and central sleep apnoea, in patients with HFpEF compared with heart failure with mildly reduced (HFmrEF) or reduced (HFrEF) ejection fraction. Methods and results Consecutive adults with chronic heart failure treated according to current guidelines were enrolled. The presence of moderate-to-severe SDB (apnoea-hypopnoea index >= 15/h) was determined using Type 3 polygraphic devices. Of 3289 patients included, 2032 had HFpEF, 559 had HFmrEF, and 698 had HFrEF, of whom 34, 21, 23, and 42%, respectively, were female. Prevalence of SDB in HFpEF was high, but significantly lower than in HFmrEF or HFrEF (36% vs. 41 and 48%, respectively). Rates of SDB in males and females were 41 and 28% in HFpEF, 44 and 30% in HFmrEF, and 50 and 40% in HFrEF. The proportion of males and females with SDB who had OSA was significantly greater in those with HFpEF vs. HFrEF. Male sex, older age, higher body mass index, and New York Heart Association functional Class III/IV were significant predictors of moderate-to-severe SDB in HFpEF patients. Conclusions Prevalence of SDB in HFpEF was high, but lower than in patients with HFmrEF or HFrEF. Moderate-to-severe SDB occurred more frequently in males than in females across the whole spectrum of heart failure. In both sexes, the proportion of OSA in SDB patients with HFpEF was higher than in those with HFrEF

    Phenotyping of Sleep‐Disordered Breathing in Patients With Chronic Heart Failure With Reduced Ejection Fraction—the SchlaHF Registry

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    Background-Different sleep-disordered breathing (SDB) phenotypes, including coexisting obstructive and central sleep apnea (OSA-CSA), have not yet been characterized in a large sample of patients with heart failure and reduced ejection fraction (HFrEF) receiving guideline-based therapies. Therefore, the aim of the present study was to determine the proportion of OSA, CSA, and OSA-CSA, as well as periodic breathing, in HFrEF patients with SDB. Methods and Results-The German SchlaHF registry enrolled patients with HFrEF receiving guideline-based therapies, who underwent portable SDB monitoring. Polysomnography (n=2365) was performed in patients with suspected SDB. Type of SDB (OSA, CSA, or OSA-CSA), the occurrence of periodic breathing (proportion of Cheyne-Stokes respiration >= 20%), and blood gases were determined in 1557 HFrEF patients with confirmed SDB. OSA, OSA-CSA, and CSA were found in 29%, 40%, and 31% of patients, respectively; 41% showed periodic breathing. Characteristics differed significantly among SDB groups and in those with versus without periodic breathing. There was a relationship between greater proportions of CSA and the presence of periodic breathing. Risk factors for having CSA rather than OSA were male sex, older age, presence of atrial fibrillation, lower ejection fraction, and lower awake carbon dioxide pressure (PCO2). Periodic breathing was more likely in men, patients with atrial fibrillation, older patients, and as left ventricular ejection fraction and awake PCO2 decreased, and less likely as body mass index increased and minimum oxygen saturation decreased. Conclusions-SchlaHF data show that there is wide interindividual variability in the SDB phenotype of HFrEF patients, suggesting that individualized management is appropriate
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