National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 1 of 1 Research Studies DisplayedPang PS, Fermann GJ, Hunter BR
TACIT (High Sensitivity Troponin T Rules Out Acute Cardiac Insufficiency Trial).
This study examined the use of high-sensitivity troponin assays to determine whether a patient presenting in the emergency department with chest pains is safe for discharge. An observational study called High Sensitivity Troponin T Rules Out Acute Cardiac Insufficiency Trial (TACIT) explored whether serial high-sensitivity troponin (hsTnT) might aid in making diagnosis of acute heart failure faster. The presence of hsTnT above the 99th percentile usually indicates acute heart failure. Patients in the cohort with hsTnT at or above the 99th percentile were older, more often male, less often black, and more likely to have chronic kidney disease. The study found no difference in risk for 90-day death or rehospitalization or return ED visits in the group with hsTnT above the 99th percentile than those with levels below the 99th percentile so hsTnT would not be considered useful.
AHRQ-funded; HS025411.
Citation: Pang PS, Fermann GJ, Hunter BR .
TACIT (High Sensitivity Troponin T Rules Out Acute Cardiac Insufficiency Trial).
Circ Heart Fail 2019 Jul;12(7):e005931. doi: 10.1161/circheartfailure.119.005931..
Keywords: Cardiovascular Conditions, Heart Disease and Health, Emergency Department, Risk, Shared Decision Making