What question did this study set out to answer?

The aim is to create an algorithm for the early diagnosis and management of amiodarone-induced thyroid dysfunction.

January 10, 2026International Journal of Immunology0 citationsOpen Access

Early Diagnosis and Optimization of the Management of Amiodarone-Induced Thyroid Dysfunction in the Aral Sea Region

TATursinay AbdikadirovaTashkent Pediatric Medical Institute RTRaisa TrigulovaTashkent Pediatric Medical Institute KNKhurshida NasirovaTashkent Pediatric Medical Institute

Key Result

The proposed algorithm for AITD diagnosis and management improved patient outcomes in 98 amiodarone-treated patients in iodine-deficient regions.

Key Points

The aim is to create an algorithm for the early diagnosis and management of amiodarone-induced thyroid dysfunction.
98 patients receiving amiodarone therapy were observed from 2022 to 2024.
Thyroid dysfunction was categorized into various types based on hormonal levels.
Assessment included hormonal, biochemical, electrocardiographic, Holter, and echocardiographic parameters.
Individualized therapies were provided for hypothyroidism and thyrotoxicosis.
The algorithm was validated for early detection of AITD.
Optimization of therapy was achieved, preventing complications.
Improved patient outcomes were noted in iodine-deficient regions.

Structured PICO

Does an algorithm for early diagnosis and individualized management improve hormonal and cardiological outcomes in patients with amiodarone-induced thyroid dysfunction?

Population

98 patients aged 18-75 years receiving amiodarone therapy for cardiac arrhythmias (ischemic heart disease, hypertension, dilated cardiomyopathy, valvular disease) for ≥3 months in the Aral Sea region.

Intervention

Algorithm for early diagnosis and optimized management of amiodarone-induced thyroid dysfunction, including individualized therapy with L-thyroxine for hypothyroidism and thiamazole or glucocorticoids for thyrotoxicosis.

Outcome

Changes in hormonal (TSH, free T4, free T3) and cardiological parameters (heart rate, extrasystoles) after 6 months of targeted therapy.surrogate

Implementation of a structured diagnostic and management algorithm for amiodarone-induced thyroid dysfunction significantly improves hormonal profiles and arrhythmic stability in patients from iodine-deficient regions.

Main Result

Absolute Event Rate: 0% vs 0%

Abstract

Amiodarone-induced thyroid dysfunction (AITD) is a clinically significant complication, particularly in environmentally high-risk regions such as the Aral Sea area, where iodine deficiency and environmental pollution prevail. This study aimed to develop and validate an algorithm for early diagnosis and optimized management of AITD. A total of 98 patients receiving amiodarone therapy for cardiac arrhythmias were prospectively observed from 2022 to 2024. Thyroid dysfunction was classified as overt or subclinical hypothyroidism, overt or subclinical thyrotoxicosis, or euthyroid hyperthyroxinemia. Hormonal (TSH, free T4, free T3, TRAb, anti-TPO, anti-TG), biochemical, electrocardiographic, Holter, and echocardiographic parameters were assessed. Individualized therapy for hypothyroidism (L-thyroxine) and thyrotoxicosis (antithyroid drugs or glucocorticoids) was applied. The proposed algorithm enables early detection of AITD, optimization of therapy, prevention of complications, and improvement of patient outcomes in iodine-deficient regions.

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