A Multibiomarker Latent Class Analysis in Moderate to Advanced Heart Failure
نویسندگان
چکیده
منابع مشابه
Advanced heart failure: a call to action.
Despite improvements in medical therapy for heart failure, more than 250,000 people die in the United States as a result of heart failure each year. There are multiple risk factors and models that have been created to identify these people, yet there has not been a significant impact on outcomes or change in the therapies for these patients. The authors review the available therapies for patien...
متن کاملPredicting death due to progressive heart failure in patients with mild-to-moderate chronic heart failure.
OBJECTIVES The aim of this study was to explore the value of noninvasive predictors of death/mode of death in ambulant outpatients with chronic heart failure (HF). BACKGROUND Mortality in chronic HF remains high, with a significant number of patients dying of progressive disease. Identification of these patients is important. METHODS We recruited 553 ambulant outpatients age 63 +/- 10 years...
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Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملA New Approach to Detect Congestive Heart Failure Using Symbolic Dynamics Analysis of Electrocardiogram Signal
The aim of this study is to show that the measures derived from Electrocardiogram (ECG) signals many a time perform better than the same measures obtained from heart rate (HR) signals. A comparison was made to investigate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of ECG signals and HR signals, and thereby discriminate between normal and cong...
متن کاملA New Approach to Detect Congestive Heart Failure Using Symbolic Dynamics Analysis of Electrocardiogram Signal
The aim of this study is to show that the measures derived from Electrocardiogram (ECG) signals many a time perform better than the same measures obtained from heart rate (HR) signals. A comparison was made to investigate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of ECG signals and HR signals, and thereby discriminate between normal and cong...
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ژورنال
عنوان ژورنال: Journal of Cardiovascular Nursing
سال: 2020
ISSN: 0889-4655
DOI: 10.1097/jcn.0000000000000757