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[THE SYNDROME «LOW TRIIODOTHYRONINE» AND A COURSE A HEART FAILURE]
S Pyvovar1, Yu Rudyk1, T Lozyk1
1The Government Institution "L.T.Malaya Therapy National Institute of the National Academy of Medical Sciences of Ukraine", Kharkiv, Ukraine.
Insights
Low triiodothyronine syndrome (LT3S) in heart failure (HF) patients with post-infarction cardiosclerosis is linked to younger age and higher re-hospitalization risk. Serum T3f levels below 2.07 pmol/l indicate LT3S.
Area of Science:
- Cardiology
- Endocrinology
- Internal Medicine
Background:
- Heart failure (HF) is a complex condition often associated with other comorbidities.
- Post-infarction cardiosclerosis, a consequence of myocardial infarction, can lead to or exacerbate HF.
- Low triiodothyronine syndrome (LT3S) is observed in various critical illnesses, but its specific impact on HF post-myocardial infarction requires further investigation.
Purpose of the Study:
- To investigate the effect of low triiodothyronine syndrome (LT3S) on the clinical course of heart failure (HF) in patients with post-infarction cardiosclerosis.
- To establish diagnostic criteria for LT3S in this patient population.
- To identify predictors of re-hospitalization in HF patients with LT3S.
Main Methods:
- A biennial study involving 157 patients hospitalized with HF secondary to coronary heart disease and myocardial infarction.
- Standardized assessment including hemodynamic parameters, clinical and biochemical blood tests, and thyroid hormone levels (TSH, free T3, free T4, reverse T3).
- Statistical analysis to determine the diagnostic threshold for LT3S and develop a regression model for re-hospitalization risk.
Main Results:
- A serum free T3 (fT3) level ≤2.07 pmol/l was identified as a diagnostic marker for LT3S in HF patients with post-infarction cardiosclerosis.
- The prevalence of LT3S in hospitalized HF patients was 17.8%.
- Patients with LT3S were younger, exhibited larger left ventricular dimensions, reduced ejection fraction, and a significantly higher relative risk of re-hospitalization within 2 years (2.224 [1.363-3.630]).
- A regression model for HF re-hospitalization included weight, thyroxine and triiodothyronine concentrations, non-toxic goiter, height, total cholesterol, LDL cholesterol, and blood granulocytes. Risk increased with a model score ≥1.321 (sensitivity 93.78%, specificity 40.45%).
Conclusions:
- LT3S is a significant finding in HF patients with post-infarction cardiosclerosis, associated with distinct clinical characteristics.
- Serum fT3 levels serve as a reliable diagnostic indicator for LT3S in this cohort.
- LT3S is a strong predictor of HF decompensation and re-hospitalization, highlighting the importance of thyroid hormone assessment in managing these patients.
Abstract:
The study was aimed at investigation of the effect of the "low triiodothyronin syndrome" (LT3S) on the course of heart failure (HF) developed on the background of post-infarction cardiosclerosis. The biennial study included 157 patients with HF (with a myocardial infarction on the background of coronary heart disease). During hospitalization, a standardized assessment was carried out, hemodynamic parameters, clinical and biochemical blood tests, levels of thyroid hormones (thyroid stimulating hormone (TSH), free T3f and T4f, reverse T3r) were determined. Statistical analysis has shown that for the diagnosis of LT3S in patients with HF on the background of post-infarction cardiosclerosis, it is advisable to use serum T3f level, ≤2.07 pmol/l. The frequency of LT3S in patients with HF during hospitalization is 17.8%. Patients with LT3S are younger, have larger left ventricular size, lower ejection fraction, a high relative risk of re-hospitalization within 2 years due to decompensation of HF (2.224 [1.363-3.630]). A regression model of the re-hospitalization of patients with HF has been described, which included: weight, thyroxine and triiodothyronine concentrations, non-toxic goiter, growth, total cholesterol levels and LDL cholesterol, blood granulocyte content. It is shown that the risk of re-hospitalization of patients with HF due to decompensation of the disease increases when the equation of this model exceeds ≥1,321 (sensitivity - 93.78% and specificity - 40.45%, p=0.0001).
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