23 research outputs found

    Randomized trial of an education and support intervention to preventreadmission of patients with heart failure

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    AbstractObjectivesWe determined the effect of a targeted education and support intervention on the rate of readmission or death and hospital costs in patients with heart failure (HF).BackgroundDisease management programs for patients with HF including medical components may reduce readmissions by 40% or more, but the value of an intervention focused on education and support is not known.MethodsWe conducted a prospective, randomized trial of a formal education and support intervention on one-year readmission or mortality and costs of care for patients hospitalized with HF.ResultsAmong the 88 patients (44 intervention and 44 control) in the study, 25 patients (56.8%) in the intervention group and 36 patients (81.8%) in the control group had at least one readmission or died during one-year follow-up (relative risk = 0.69, 95% confidence interval [CI]: 0.52, 0.92; p = 0.01). The intervention was associated with a 39% decrease in the total number of readmissions (intervention group: 49 readmissions; control group: 80 readmissions, p = 0.06). After adjusting for clinical and demographic characteristics, the intervention group had a significantly lower risk of readmission compared with the control group (hazard ratio = 0.56, 95% CI: 0.32, 0.96; p = 0.03) and hospital readmission costs of $7,515 less per patient.ConclusionsA formal education and support intervention substantially reduced adverse clinical outcomes and costs for patients with HF

    Quality of life after aortic valve replacement with tissue and mechanical implants

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    AbstractObjectivesWe sought to determine whether changes in quality of life at 18 months following aortic valve replacement differ depending on the use of tissue valves or mechanical valves.MethodsWe prospectively studied 73 patients with tissue valve replacements and 53 patients with mechanical valve replacements performed from April 1998 through March 1999 at Yale-New Haven Hospital. Quality of life was measured at baseline and at 18 months using the Medical Outcomes Trust Short Form 36-Item Health Survey.ResultsBaseline unadjusted mean quality-of-life scores were lower in tissue valve recipients than in mechanical valve recipients and, for both groups, were generally lower than US population norms. At 18 months postoperatively, quality-of-life scores were greatly improved in both groups and were comparable to population norms (ie, within one-half a standard deviation). After adjusting for baseline quality of life, age, and other prognostic factors in an analysis of covariance, improvements in quality-of-life scores for tissue valve recipients versus mechanical valve recipients were similar. Of 10 (8 domains and 2 summary) scales examined, the only significant difference between the 2 groups was for the improvement in role limitations due to physical problems (Role Physical), which was more favorable in patients with mechanical valve implants (P = .04).ConclusionsThe use of tissue valve implants versus mechanical valve implants has little influence on improvement in quality of life at 18 months following aortic valve replacement. Thus, decisions about whether to choose a tissue valve or mechanical valve implant should depend upon other factors such as rates of complications and differences in the life span of the implants

    Telemonitoring for Patients With Chronic Heart Failure: A Systematic Review

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    Background Telemonitoring, the use of communication technology to remotely monitor health status, is an appealing strategy for improving disease management. Methods and Results We searched Medline databases, bibliographies, and spoke with experts to review the evidence on telemonitoring in heart failure patients. Interventions included: telephone-based symptom monitoring (n = 5), automated monitoring of signs and symptoms (n = 1), and automated physiologic monitoring (n = 1). Two studies directly compared effectiveness of 2 or more forms of telemonitoring. Study quality and intervention type varied considerably. Six studies suggested reduction in all-cause and heart failure hospitalizations (14% to 55% and 29% to 43%, respectively) or mortality (40% to 56%) with telemonitoring. Of the 3 negative studies, 2 enrolled low-risk patients and patients with access to high quality care, whereas 1 enrolled a very high-risk Hispanic population. Studies comparing forms of telemonitoring demonstrated similar effectiveness. However, intervention costs were higher with more complex programs (8383perpatientperyear)versuslesscomplexprograms(8383 per patient per year) versus less complex programs (1695 per patient per year). Conclusion The evidence base for telemonitoring in heart failure is currently quite limited. Based on the available data, telemonitoring may be an effective strategy for disease management in high-risk heart failure patients

    Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease.

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    Less than 3% of protein-coding genetic variants are predicted to result in loss of protein function through the introduction of a stop codon, frameshift, or the disruption of an essential splice site; however, such predicted loss-of-function (pLOF) variants provide insight into effector transcript and direction of biological effect. In >400,000 UK Biobank participants, we conduct association analyses of 3759 pLOF variants with six metabolic traits, six cardiometabolic diseases, and twelve additional diseases. We identified 18 new low-frequency or rare (allele frequency < 5%) pLOF variant-phenotype associations. pLOF variants in the gene GPR151 protect against obesity and type 2 diabetes, in the gene IL33 against asthma and allergic disease, and in the gene IFIH1 against hypothyroidism. In the gene PDE3B, pLOF variants associate with elevated height, improved body fat distribution and protection from coronary artery disease. Our findings prioritize genes for which pharmacologic mimics of pLOF variants may lower risk for disease

    Assessing the reliability of self-reported weight for the management of heart failure: application of fraud detection methods to a randomised trial of telemonitoring

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    Abstract Background Since clinical management of heart failure relies on weights that are self-reported by the patient, errors in reporting will negatively impact the ability of health care professionals to offer timely and effective preventive care. Errors might often result from rounding, or more generally from individual preferences for numbers ending in certain digits, such as 0 or 5. We apply fraud detection methods to assess preferences for numbers ending in these digits in order to inform medical decision making. Methods The Telemonitoring to Improve Heart Failure Outcomes trial tested an approach to telemonitoring that used existing technology; intervention patients (n = 826) were asked to measure their weight daily using a digital scale and to relay measurements using their telephone keypads. First, we estimated the number of weights subject to end-digit preference by dividing the weights by five and comparing the resultant distribution with the uniform distribution. Then, we assessed the characteristics of patients reporting an excess number of weights ending in 0 or 5, adjusting for chance reporting of these values. Results Of the 114,867 weight readings reported during the trial, 18.6% were affected by end-digit preference, and the likelihood of these errors occurring increased with the number of days that had elapsed since trial enrolment (odds ratio per day: 1.002, p < 0.001). At least 105 patients demonstrated end-digit preference (14.9% of those who submitted data); although statistical significance was limited, a pattern emerged that, compared with other patients, they tended to be younger, male, high school graduates and on more medications. Patients with end-digit preference reported greater variability in weight, and they generated an average 2.9 alerts to the telemonitoring system over the six-month trial period (95% CI, 2.3 to 3.5), compared with 2.3 for other patients (95% CI, 2.2 to 2.5). Conclusions As well as overshadowing clinically meaningful changes in weight, end-digit preference can lead to false alerts to telemonitoring systems, which may be associated with unnecessary treatment and alert fatigue. In this trial, end-digit preference was common and became increasingly so over time. By applying fraud detection methods to electronic medical data, it is possible to produce clinically significant information that can inform the design of initiatives to improve the accuracy of reporting. Trial registration ClinicalTrials.gov registration number NCT00303212 March 2006
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