Can high-sensitive troponin levels within the normal range predict positivity in treadmill test?
Mustafa Yilmaz1, Adem Atici2, Mehmet Rasih Sonsöz3
1Cardiology Department, Bağcilar Medipol Mega University Hospital.
Insights
High levels of high-sensitivity troponin T (hsTnT) effectively predict positive treadmill tests in patients with suspected stable ischemic heart disease (SIHD). Measuring hsTnT before the test improves diagnostic accuracy and is a cost-effective method.
Area of Science:
- Cardiology
- Diagnostic Medicine
- Biomarker Research
Background:
- Stable ischemic heart disease (SIHD) diagnosis often relies on treadmill testing.
- Predictive biomarkers for treadmill test positivity in SIHD are crucial for early diagnosis.
Purpose of the Study:
- To investigate if high-sensitivity troponin T (hsTnT) levels predict a positive treadmill test in patients with suspected SIHD.
- To assess the utility of hsTnT as a pre-test predictor for SIHD.
Main Methods:
- 366 patients with suspected SIHD underwent treadmill testing (Bruce protocol).
- Serum hsTnT levels were measured before the treadmill test.
- Binary logistic regression and ROC curve analysis were used to evaluate predictors.
Main Results:
- 97 out of 366 patients had positive treadmill tests.
- Significantly higher hsTnT levels were observed in patients with positive treadmill tests.
- hsTnT, pretest probability, METs, THR, and DTS were independent predictors of a positive treadmill test (AUC: 0.945).
Conclusions:
- Elevated pretest hsTnT levels are significant predictors of a positive treadmill test in suspected SIHD.
- Incorporating hsTnT measurements can enhance the sensitivity and specificity of treadmill tests.
- hsTnT measurement is a cost-effective and accessible tool for pre-treadmill assessment in SIHD.
Background:
This study aimed to determine whether a high level of high-sensitivity troponin T (hsTnT) predicts a positive treadmill test in patients with suspected stable ischemic heart disease (SIHD).
Methods:
In all, 366 patients with suspected SIHD were included in the study. We measured the serum hsTnT levels before the treadmill test. The treadmill test was performed according to the Bruce protocol.
Results:
Of the 366 patients, 97 had positive treadmill tests. The hsTnT levels were significantly higher in the positive group than in the negative group. In the binary logistic regression analysis, hsTnT, pretest probability, metabolic equivalents (METs), target heart rate (THR) percentage, and Duke treadmill score (DTS) were independent predictors of a positive treadmill test [hsTnT odds ratio (OR): 2.178, P < 0.001; pretest probability OR: 1.036, P = 0.007; METs OR: 0.755, P = 0.008; THR OR: 0.773, P < 0.001; DTS OR: 2.661, P = 0.012]. In the receiver operating characteristic (ROC) curve analysis, the area under the curve (AUC) value of the model with the combined parameters of hsTnT, pretest probability, METs, THR, and DTS was statistically significant in predicting a positive treadmill test [combined model AUC: 0.945 (0.922-0.968), P < 0.001].
Conclusions:
In sum, high pretest hsTnT levels predicted a positive treadmill test in patients with suspected SIHD. Analysis of the hsTnT levels before the treadmill test can increase the sensitivity and specificity of the treadmill test. The methods for measuring hsTnT levels are cheap and easily accessible and can be used before the treadmill test in patients with suspected SIHD.
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