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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 4 of 4 Research Studies DisplayedMoza R, Truong DT, Lambert LM
Poor weight recovery between stage 1 palliation and hospital discharge for infants with single ventricle physiology: an analysis of the NPC-QIC Phase II dataset.
The purpose of this study was to investigate change in weight-for-age z-scores (WAZ) and risk factors for impaired weight gain between stage 1 palliation (S1P) for single ventricle physiology and discharge. Data from the National Pediatric Cardiology Quality Improvement Collaborative Phase II database was analysed. Findings showed that nearly all infants lost weight after S1P, with little recovery by hospital discharge. At discharge, three-quarters of the infants were at-risk for impaired weight gain or had failure to thrive. Most risk factors associated with change in WAZ were unmodifiable or surrogates of disease severity.
AHRQ-funded; HS021114.
Citation: Moza R, Truong DT, Lambert LM .
Poor weight recovery between stage 1 palliation and hospital discharge for infants with single ventricle physiology: an analysis of the NPC-QIC Phase II dataset.
J Pediatr 2021 Jul;234:20-26.e2. doi: 10.1016/j.jpeds.2021.03.035..
Keywords: Newborns/Infants, Centers for Education and Research on Therapeutics (CERTs), Heart Disease and Health, Cardiovascular Conditions, Health Status, Risk
Angraal S, Mortazavi BJ, Gupta A
Machine learning prediction of mortality and hospitalization in heart failure with preserved ejection fraction.
This study developed models to predict the risk of death and hospitalization in patients with heart failure (HF) with preserved ejection fraction (HFpEF). Data was used from the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist) clinical trial. Five methods: logistic regression with a forward selection of variables; logistic regression with a lasso regularization for variable selection; random forest (RF); gradient descent boosting; and support vector machine, were used to train models for assessing risks of mortality and HF hospitalization through 3 years of follow-up and were validated using 5-fold cross-validation. RF was found to be the best performing model for predicting mortality and HF hospitalization. Blood urea nitrogen levels, body mass index, and Kansas City Cardiomyopathy Questionnaire (KCCQ) subscale scores were strongly associated with mortality, while hemoglobin level, blood urea nitrogen, time since previous HF hospitalization, and KCCQ scores were the most significant predictors of HF hospitalization.
AHRQ-funded; HS023000.
Citation: Angraal S, Mortazavi BJ, Gupta A .
Machine learning prediction of mortality and hospitalization in heart failure with preserved ejection fraction.
JACC Heart Fail 2020 Jan;8(1):12-21. doi: 10.1016/j.jchf.2019.06.013..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Mortality, Hospitalization, Risk, Health Status, Health Information Technology (HIT)
Sterling MR, Lin FR, Jannat-Khah DP
Hearing loss among older adults with heart failure in the United States: data from the National Health and Nutrition Examination Survey.
The researchers examined the prevalence and correlates of hearing loss among older adults with and without heart failure (HF) in the United States. Overall, 75 percent of adults 70 years or older with HF have hearing loss. Although hearing loss was more common among adults with HF compared with those without it, HF was not independently associated with hearing loss after accounting for demographic and clinical characteristics.
AHRQ-funded; HS000066.
Citation: Sterling MR, Lin FR, Jannat-Khah DP .
Hearing loss among older adults with heart failure in the United States: data from the National Health and Nutrition Examination Survey.
JAMA Otolaryngol Head Neck Surg 2018 Mar;144(3):273-75. doi: 10.1001/jamaoto.2017.2979.
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Keywords: Elderly, Health Status, Heart Disease and Health, Risk
Dreyer RP, Sciria C, Spatz ES
Young women with acute myocardial infarction: current perspectives.
The purpose of this cardiovascular perspective piece is to review recent studies of acute myocardial infarction (AMI) in young women. More specifically, it emphasizes differences in the epidemiology, diagnosis, and management of AMI in young women (when compared with men) across the continuum of care, including their pre-AMI, in-hospital, and post-AMI periods, and highlights gaps in knowledge and outcomes that can inform the next generation of research.
AHRQ-funded; HS023000.
Citation: Dreyer RP, Sciria C, Spatz ES .
Young women with acute myocardial infarction: current perspectives.
Circ Cardiovasc Qual Outcomes 2017 Feb;10(2). doi: 10.1161/circoutcomes.116.003480.
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Keywords: Cardiovascular Conditions, Health Status, Heart Disease and Health, Risk