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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Events (1)
- Cardiovascular Conditions (4)
- Electronic Health Records (EHRs) (1)
- Health Information Technology (HIT) (1)
- (-) Heart Disease and Health (7)
- Hospital Readmissions (1)
- Human Immunodeficiency Virus (HIV) (1)
- Mortality (1)
- Outcomes (1)
- Patient-Centered Healthcare (1)
- Patient Safety (1)
- Racial and Ethnic Minorities (1)
- (-) Risk (7)
- Stroke (1)
- Surgery (2)
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 7 of 7 Research Studies DisplayedSalinas JL, Rentsch C, Marconi VC
Baseline, time-updated, and cumulative HIV care metrics for predicting acute myocardial infarction and all-cause mortality.
The researchers studied prediction rates of myocardial infarction in those with HIV. They found that the Veterans Aging Cohort Study (VACS) Index provided better acute myocardial infarction and mortality prediction than CD4 count and HIV-1 RNA, concluding that current health determines risk more accurately than prior history.
AHRQ-funded; HS018372.
Citation: Salinas JL, Rentsch C, Marconi VC .
Baseline, time-updated, and cumulative HIV care metrics for predicting acute myocardial infarction and all-cause mortality.
Clin Infect Dis 2016 Dec 1;63(11):1423-30. doi: 10.1093/cid/ciw564.
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Keywords: Human Immunodeficiency Virus (HIV), Mortality, Heart Disease and Health, Risk
Kabra R, Girotra S, Vaughan Sarrazin M
Refining stroke prediction in atrial fibrillation patients by addition of African-American ethnicity to CHA2DS2-VASc score.
The authors hypothesized that the addition of African-American ethnicity to the CHA2DS2-VASc score might improve stroke prediction in patients with atrial fibrillation (AF). They found that, in patients over age 65 with newly diagnosed AF, the addition of ethnicity to CHA2DS2-VASc score significantly improved stroke prediction.
AHRQ-funded; HS023104.
Citation: Kabra R, Girotra S, Vaughan Sarrazin M .
Refining stroke prediction in atrial fibrillation patients by addition of African-American ethnicity to CHA2DS2-VASc score.
J Am Coll Cardiol 2016 Aug 2;68(5):461-70. doi: 10.1016/j.jacc.2016.05.044.
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Keywords: Stroke, Heart Disease and Health, Racial and Ethnic Minorities, Risk, Cardiovascular Conditions
Bangalore S, Guo Y, Samadashvili Z
Revascularization in patients with multivessel coronary artery disease and severe left ventricular systolic dysfunction: everolimus-eluting stents versus coronary artery bypass graft surgery.
This study compared outcomes for patients with multivessel disease and severe left ventricular systolic dysfunction (ejection fraction </=35%) who underwent either percutaneous coronary intervention (PCI) with everolimus-eluting stent or coronary artery bypass graft surgery (CABG). It found that PCI with everolimus-eluting stent had comparable long-term survival in comparison with CABG. PCI was associated with higher risk of myocardial infarction (in those with incomplete revascularization) and repeat revascularization.
AHRQ-funded; HS023683.
Citation: Bangalore S, Guo Y, Samadashvili Z .
Revascularization in patients with multivessel coronary artery disease and severe left ventricular systolic dysfunction: everolimus-eluting stents versus coronary artery bypass graft surgery.
Circulation 2016 May 31;133(22):2132-40. doi: 10.1161/circulationaha.115.021168.
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Keywords: Cardiovascular Conditions, Heart Disease and Health, Surgery, Outcomes, Risk
O'Donoghue ML, Morrow DA, Cannon CP
Multimarker risk stratification in patients with acute myocardial infarction.
In this study, the investigators examined multimarker risk stratification in patients with acute myocardial infarction. They found that in patients with ST-elevation MI, a multimarker strategy that combines biomarkers across pathobiological axes of myocardial stress, myocyte necrosis, and inflammation provided incremental prognostic information for prediction of cardiovascular death or heart failure.
AHRQ-funded; HS023000.
Citation: O'Donoghue ML, Morrow DA, Cannon CP .
Multimarker risk stratification in patients with acute myocardial infarction.
J Am Heart Assoc 2016 May 20;5(5). doi: 10.1161/jaha.115.002586..
Keywords: Cardiovascular Conditions, Heart Disease and Health, Risk
Holcomb CN, Graham LA, Richman JS
The incremental risk of coronary stents on postoperative adverse events: a matched cohort study.
The objective of this study was to determine the incremental risk of coronary stents on adverse events in surgical patients and whether it varies over time from stent placement. It concluded that surgery after coronary stent placement is associated with an approximate 2 percent absolute risk for postoperative heart attack but no difference in mortality compared with nonstented matched controls.
AHRQ-funded; HS013852.
Citation: Holcomb CN, Graham LA, Richman JS .
The incremental risk of coronary stents on postoperative adverse events: a matched cohort study.
Ann Surg 2016 May;263(5):924-30. doi: 10.1097/sla.0000000000001246..
Keywords: Adverse Events, Risk, Surgery, Patient Safety, Heart Disease and Health, Cardiovascular Conditions
Taslimitehrani V, Dong G, Pereira NL
Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function.
The authors proposed to apply a classification algorithm, Contrast Pattern Aided Logistic Regression (CPXR(Log)) with the probabilistic loss function, to develop and validate prognostic risk models to predict 1, 2, and 5 year survival in heart failure (HF). They found that the new loss function used in the algorithm outperforms other functions used in previous studies and that HF is a highly heterogeneous disease (different subgroups of patients require different types of considerations with their diagnosis and treatment). They concluded that logistic risk models often make systematic prediction errors and that it is prudent to use subgroup based prediction models such as those given by CPXR(Log) when investigating heterogeneous diseases.
AHRQ-funded; HS023077.
Citation: Taslimitehrani V, Dong G, Pereira NL .
Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function.
J Biomed Inform 2016 Apr;60:260-9. doi: 10.1016/j.jbi.2016.01.009.
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Keywords: Electronic Health Records (EHRs), Heart Disease and Health, Health Information Technology (HIT), Risk
O'Connor M, Murtaugh CM, Shah S
Patient characteristics predicting readmission among individuals hospitalized for heart failure.
The authors conducted a literature review to identify heart failure patient characteristics, measured before discharge, that contribute to variation in hospital readmission rates. They found that no single patient characteristic stood out as a key contributor.
AHRQ-funded; HS020257.
Citation: O'Connor M, Murtaugh CM, Shah S .
Patient characteristics predicting readmission among individuals hospitalized for heart failure.
Med Care Res Rev 2016 Feb;73(1):3-40. doi: 10.1177/1077558715595156.
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Keywords: Heart Disease and Health, Patient-Centered Healthcare, Hospital Readmissions, Risk