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Search All Research Studies
Topics
- Cardiovascular Conditions (4)
- Chronic Conditions (1)
- Evidence-Based Practice (2)
- (-) Heart Disease and Health (4)
- Hospital Readmissions (1)
- Kidney Disease and Health (1)
- Outcomes (2)
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- (-) Transplantation (4)
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 4 of 4 Research Studies DisplayedMcKinney WT, Schaffhausen CR, Schladt D
Designing a patient-specific search of transplant program performance and outcomes: feedback from heart transplant candidates and recipients.
The Scientific Registry of Transplant Recipients provides transplant program-specific information, but it is unclear what patients and stakeholders need to know. Acceptance criteria for the candidate waitlist and donor organs vary by program and region, but there is no means to search for programs by the clinical profiles of recipients and donors. The authors examined variability in program-specific characteristics that could influence access to transplantation.
AHRQ-funded; HS026379; HS024527.
Citation: McKinney WT, Schaffhausen CR, Schladt D .
Designing a patient-specific search of transplant program performance and outcomes: feedback from heart transplant candidates and recipients.
Clin Transplant 2021 Feb;35(2):e14183. doi: 10.1111/ctr.14183..
Keywords: Transplantation, Surgery, Heart Disease and Health, Cardiovascular Conditions, Registries, Patient-Centered Outcomes Research, Evidence-Based Practice, Shared Decision Making
Miller PE, Pawar S, Vaccaro B
Predictive abilities of machine learning techniques may be limited by dataset characteristics: insights from the UNOS database.
This study compared using machine learning techniques to traditional prediction models for 1-year survival rates of heart transplant patients. The Unified Network for Organ Sharing (UNOS) was used to analyze data for adult patients undergoing cardiac transplantation from 1987 to 2014. The dataset was divided into 3 time periods based on geographic regions and major allocation adjustments. They used several different prediction methods including logistic regression, ridge regression, and regressions with LASSO (least absolute shrinkage and selection operator) and compared them with machine learning methodologies. There was no improvement found of 1-year survival predictions with machine learning compared to traditional prediction models.
AHRQ-funded; HS023000.
Citation: Miller PE, Pawar S, Vaccaro B .
Predictive abilities of machine learning techniques may be limited by dataset characteristics: insights from the UNOS database.
J Card Fail 2019 Jun;25(6):479-83. doi: 10.1016/j.cardfail.2019.01.018..
Keywords: Cardiovascular Conditions, Heart Disease and Health, Outcomes, Transplantation
Dunn T, Saeed MJ, Shpigel A
The association of preoperative cardiac stress testing with 30-day death and myocardial infarction among patients undergoing kidney transplantation.
This study examined whether the use of preoperative cardiac stress testing of patients undergoing kidney transplantation reduced 30-day- death and myocardial infarction post-transplantation. ESRD patients 40 years or older with primary Medicare insurance between 2006 and 2013 were identified using the United States Renal Data System. In a matched cohort of 17,304 patients, there was little difference in 30-day post-transplantation mortality and myocardial infarction between those receiving a stress test and those who did not.
AHRQ-funded; HS019455.
Citation: Dunn T, Saeed MJ, Shpigel A .
The association of preoperative cardiac stress testing with 30-day death and myocardial infarction among patients undergoing kidney transplantation.
PLoS One 2019 Feb;14(2):e0211161. doi: 10.1371/journal.pone.0211161..
Keywords: Transplantation, Kidney Disease and Health, Heart Disease and Health, Cardiovascular Conditions, Chronic Conditions, Risk, Surgery
Bachmann JM, Shah AS, Duncan MS
Cardiac rehabilitation and readmissions after heart transplantation.
Cardiac transplant recipients always are referred to cardiac rehabilitation (CR) after transplantation, and is associated with a lower 1-year readmission risk. This study’s objective was to determine rates of CR for heart transplant recipients in the US and also 1-year readmission rates using 2013-2014 Medicare data. Out of the 2,531 heart transplant patients in the US in 2013, about 24% received Medicare coverage and were included in the study. Rates of CR utilization was only, with only 55% participating in the program. Younger transplant patients ages 35 to 49 years were less likely to initiate CR than patients 65 and older. In all groups patients did not attend all 36 prescribed sessions, with a mean of 26.7 sessions attended. The 1-year readmission risk was 29% lower for CR participation patients.
AHRQ-funded; HS022990.
Citation: Bachmann JM, Shah AS, Duncan MS .
Cardiac rehabilitation and readmissions after heart transplantation.
J Heart Lung Transplant 2018 Apr;37(4):467-76. doi: 10.1016/j.healun.2017.0.017.
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Keywords: Transplantation, Surgery, Rehabilitation, Cardiovascular Conditions, Heart Disease and Health, Hospital Readmissions, Patient-Centered Outcomes Research, Outcomes, Evidence-Based Practice