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Topics
- (-) Cardiovascular Conditions (6)
- Elderly (2)
- Health Information Technology (HIT) (2)
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- Heart Disease and Health (5)
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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.
Results
1 to 6 of 6 Research Studies DisplayedWehbe RM, Khan SS, Shah SJ
Predicting high-risk patients and high-risk outcomes in heart failure.
Identifying patients with heart failure at high risk for poor outcomes is important for patient care, resource allocation, and process improvement. Although numerous risk models exist to predict mortality, hospitalization, and patient-reported health status, they are infrequently used for several reasons, including modest performance, lack of evidence to support routine clinical use, and barriers to implementation. The authors discuss the potential of artificial to enhance the performance of risk prediction models.
AHRQ-funded; HS026385.
Citation: Wehbe RM, Khan SS, Shah SJ .
Predicting high-risk patients and high-risk outcomes in heart failure.
Heart Fail Clin 2020 Oct;16(4):387-407. doi: 10.1016/j.hfc.2020.05.002..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Risk, Hospitalization
Haynes SC, Tancredi DJ, Tong K
Association of adherence to weight telemonitoring with health care use and death: a secondary analysis of a randomized clinical trial.
This study examined if heart failure patients who had lower adherence to weight telemonitoring had higher hospitalization and death rates. This study was a post hoc secondary analysis of the Better Effectiveness After Transition-Heart Failure randomized clinical trial which included patients from 6 academic medical centers in California. Criteria for eligibility was if they were hospitalized for decompensated heart failure. Exclusion criteria included if they were discharged to a skilled nursing facility, were expected to improve because of a medical procedure, or did not have the cognitive or physical ability to participate. The trial compared a telemonitoring intervention with usual care for patients with heart failure after hospital discharge from October 12, 2011 to September 30, 2013. The cohort of 538 eligible participants had a mean age of 70.9, was 53.8% male and 50.7% white. Adherence got better from week to week, and they found that every increase in adherence by 1 day was associated with a 19% decrease in the rate of death the following week and an 11% decrease in the rate of hospitalization. However, weight adherence is unlikely to be a result of the telemonitoring intervention.
AHRQ-funded; HS019311.
Citation: Haynes SC, Tancredi DJ, Tong K .
Association of adherence to weight telemonitoring with health care use and death: a secondary analysis of a randomized clinical trial.
JAMA Netw Open 2020 Jul;3(7):e2010174. doi: 10.1001/jamanetworkopen.2020.10174..
Keywords: Telehealth, Health Information Technology (HIT), Patient Adherence/Compliance, Obesity: Weight Management, Obesity, Heart Disease and Health, Cardiovascular Conditions, Hospitalization
Fudim M, Kelly JP, Brophy TJ
Trends in treatment for patients hospitalized with heart failure with preserved ejection fraction before and after Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT).
This study examined treatment trends for patients hospitalized for heart failure with preserved ejection fraction (HFpEF) after the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) trial, which investigated spironolactone treatment vs placebo in HFpEF patients. This retrospective analysis looked at discharge prescribing data in the Get With The Guidelines-Heart Failure Registry among patients with left ventricular ejection fraction ≥50% discharged between 2009-2016. About 13% of the cohort of 142,201 patients were prescribed mineralocorticoid receptor antagonists (MRAs) at discharge. MRA prescribing increased modestly over time, but the TOPCAT trial did not seem to have an impact.
AHRQ-funded; HS021092.
Citation: Fudim M, Kelly JP, Brophy TJ .
Trends in treatment for patients hospitalized with heart failure with preserved ejection fraction before and after Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT).
Am J Cardiol 2020 Jun 1;125(11):1655-60. doi: 10.1016/j.amjcard.2020.02.038..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Stroke, Medication, Hospitalization, Inpatient Care, Practice Patterns
Basciotta M, Zhou W, Ngo L
Antipsychotics and the risk of mortality or cardiopulmonary arrest in hospitalized adults.
Investigators sought to evaluate the risk of death or nonfatal cardiopulmonary arrest in hospitalized adults exposed to antipsychotics. They found that, in hospitalized adults, typical antipsychotics were associated with increased mortality or cardiopulmonary arrest, whereas atypical antipsychotics were only associated with increased risk among adults age 65 years and older. They recommended that providers be thoughtful when prescribing antipsychotic medications, especially to older adults in settings where data regarding benefit are lacking.
AHRQ-funded; HS026215.
Citation: Basciotta M, Zhou W, Ngo L .
Antipsychotics and the risk of mortality or cardiopulmonary arrest in hospitalized adults.
J Am Geriatr Soc 2020 Mar;68(3):544-50. doi: 10.1111/jgs.16246..
Keywords: Medication, Risk, Hospitalization, Cardiovascular Conditions, Mortality, Elderly
Weerahandi H, Bao H, Herrin J
Home health care after skilled nursing facility discharge following heart failure hospitalization.
Heart failure (HF) readmission rates have plateaued despite scrutiny of hospital discharge practices. Many HF patients are discharged to skilled nursing facility (SNF) after hospitalization before returning home. Home healthcare (HHC) services received during the additional transition from SNF to home may affect readmission risk. In this study, the investigators examined whether receipt of HHC affects readmission risk during the transition from SNF to home following HF hospitalization.
AHRQ-funded; HS022882.
Citation: Weerahandi H, Bao H, Herrin J .
Home health care after skilled nursing facility discharge following heart failure hospitalization.
J Am Geriatr Soc 2020 Jan;68(1):96-102. doi: 10.1111/jgs.16179..
Keywords: Home Healthcare, Nursing Homes, Heart Disease and Health, Cardiovascular Conditions, Hospitalization, Hospital Readmissions, Transitions of Care, Elderly
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)