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Triiodothyronine levels for risk stratification of patients with chronic heart failure
Alessandro Pingitore1, Patrizia Landi, Maria Chiara Taddei
1Institute of Clinical Physiology, C.N.R., Pisa, Italy. pingi@ifc.cnr.it
Insights
Low triiodothyronine (T3) levels are a significant independent predictor of mortality in chronic heart failure patients. This finding offers valuable prognostic information beyond traditional clinical assessments.
Area of Science:
- Cardiology
- Endocrinology
- Clinical Medicine
Background:
- Chronic heart failure (CHF) is a complex condition with significant mortality.
- Prognostic assessment in CHF typically relies on clinical and functional parameters.
- The role of thyroid hormones, specifically triiodothyronine (T3), in CHF prognosis requires further elucidation.
Purpose of the Study:
- To investigate the utility of triiodothyronine (T3) concentrations as an adjunct to existing parameters for estimating prognosis in patients with chronic heart failure.
- To determine if T3 levels provide independent prognostic value in CHF.
Main Methods:
- A cohort of 281 patients with dilated cardiomyopathy (postischemic or nonischemic) was studied.
- Total and free T3 concentrations were measured alongside traditional clinical and functional cardiac parameters.
- Multivariate logistic regression models were employed to predict all-cause and cardiac mortality.
Main Results:
- Lower ejection fraction, total T3, and free T3 levels were observed in patients who died compared to survivors.
- Ejection fraction and total T3 levels independently predicted all-cause mortality.
- Ejection fraction and free T3 levels also independently predicted all-cause mortality in an alternative model.
- Male sex, ejection fraction, and total T3 levels were independent predictors of cardiac mortality.
Conclusions:
- Low triiodothyronine (T3) levels serve as an independent predictor of mortality in patients diagnosed with chronic heart failure.
- T3 concentrations provide incremental prognostic information that complements conventional clinical and functional cardiac assessments.
- These findings highlight the potential of T3 measurement in refining risk stratification for CHF patients.
Purpose:
We sought to explore the use of triiodothyronine (T(3)) concentrations as an adjunct to clinical and functional parameters when estimating prognosis in patients with chronic heart failure.
Methods:
We enrolled 281 patients with postischemic (n = 153) or nonischemic (n = 128) dilated cardiomyopathy. Total and free T(3) concentrations, and traditional clinical and functional cardiac parameters, were measured 2 to 5 days after hospital admission. A multivariate model was utilized to predict all-cause and cardiac mortality.
Results:
All-cause mortality was 23% (n = 64) after a mean (+/-SD) of 12 +/- 7 months of follow-up; 47 (73%) of the patients died from cardiac causes. The mean ejection fraction was lower in those patients who died than in those who survived (26% +/- 8% vs. 31% +/- 8%, P < 0.001), as were levels of total T(3) (1.0 +/- 0.4 nmol/L vs. 1.3 +/- 0.3 nmol/L, P < 0.001) and free T(3) (3.2 +/- 1.4 pmol/L vs. 3.7 +/- 1.0 pmol/L, P < 0.001). In a multivariate model, ejection fraction (odds ratio [OR] = 2.0 per 10% decrease; 95% confidence interval [CI]: 1.4 to 2.8 per 10% decrease; P < 0.001) and total T(3) level (OR = 0.3 per 1-nmol/L increase; 95% CI: 0.1 to 0.5 per 1-nmol/L increase; P < 0.001) were the only independent predictors of all-cause mortality. In an alternative model using free T(3) levels, ejection fraction (OR = 1.9; 95% CI: 1.4 to 2.7; P < 0.001) and free T(3) level (OR = 0.6 per 1 pmol/L; 95% CI: 0.5 to 0.8 per 1 pmol/L; P <0.02) were associated with all-cause mortality. When we considered cardiac mortality alone, male sex (OR = 3.5; 95% CI: 1.7 to 13; P < 0.04), ejection fraction (OR = 1.7; 95% CI: 1.2 to 2.5; P < 0.006), and total T(3) level (OR = 0.3; 95% CI: 0.2 to 0.7; P < 0.002) were independent predictors with the multivariate model.
Conclusion:
Low T(3) levels are an independent predictor of mortality in patients with chronic heart failure, adding prognostic information to conventional clinical and functional cardiac parameters.
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