Estimating Prevalence and Prognostic Impact of Sick Euthyroid Syndrome in Patients with Acute Heart Failure

Background: Non-thyroidal illness (NTI), also termed sick euthyroid syndrome (SES), represents transient alterations in thyroid hormone levels that occur during acute or critical illness. Typically, serum thyroid-stimulating hormone (TSH) remains within the normal range, while triiodothyronine (T3), thyroxine (T4), and reverse T3 (rT3) show characteristic fluctuations. Thyroid hormones play a crucial role in maintaining myocardial contractility, hence affecting cardiac function and overall prognosis of the patient. Aim: To estimate prevalence of sick euthyroid syndrome in patients admitted with acute heart failure and to assess its prognostic significance. Discussion: Morbidity of heart failure was assessed as a need for prolonged hospital stay and re-hospitalization as previous literature review showed that it was increased among low T3 subjects. However, such an association was not seen in our study. Conclusion: The prevalence of Sick euthyroid syndrome was found to be 22.3%. The mortality rate as well as re-hospitalization rate among our study subjects was very low, however statistical data showed a slightly more prolonged hospital stay among sick euthyroid subjects. Thyroid function assessment and its treatment whenever indicated is of paramount importance especially among heart failure subjects.

Authors

Publication Details

Journal
NATIONAL BOARD OF EXAMINATIONS JOURNAL OF MEDICAL SCIENCES
Published
2026-01-05
DOI
https://doi.org/10.61770/nbejms.2025.v04.i01.007
Primary Topic
Thyroid Disorders and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating Prevalence and Prognostic Impact of Sick Euthyroid Syndrome in Patients with Acute Heart Failure

Navpreet Kaur Batth, Deepak Sha K, Pulkit Jindal, Nithin C et al.
NATIONAL BOARD OF EXAMINATIONS JOURNAL OF MEDICAL SCIENCES
Thyroid Disorders and Treatments
article

Estimating Prevalence and Prognostic Impact of Sick Euthyroid Syndrome in Patients with Acute Heart Failure

Navpreet Kaur Batth, Deepak Sha K, Pulkit Jindal, Nithin C, Satarla Narendra, Sreena Sreedhar
article en

Abstract

Background: Non-thyroidal illness (NTI), also termed sick euthyroid syndrome (SES), represents transient alterations in thyroid hormone levels that occur during acute or critical illness. Typically, serum thyroid-stimulating hormone (TSH) remains within the normal range, while triiodothyronine (T3), thyroxine (T4), and reverse T3 (rT3) show characteristic fluctuations. Thyroid hormones play a crucial role in maintaining myocardial contractility, hence affecting cardiac function and overall prognosis of the patient. Aim: To estimate prevalence of sick euthyroid syndrome in patients admitted with acute heart failure and to assess its prognostic significance. Discussion: Morbidity of heart failure was assessed as a need for prolonged hospital stay and re-hospitalization as previous literature review showed that it was increased among low T3 subjects. However, such an association was not seen in our study. Conclusion: The prevalence of Sick euthyroid syndrome was found to be 22.3%. The mortality rate as well as re-hospitalization rate among our study subjects was very low, however statistical data showed a slightly more prolonged hospital stay among sick euthyroid subjects. Thyroid function assessment and its treatment whenever indicated is of paramount importance especially among heart failure subjects.

NATIONAL BOARD OF EXAMINATIONS JOURNAL OF MEDICAL SCIENCESVol. 4(1)
Good health and well-being
Openalex Percentile: Top 98%
Thyroid Disorders and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.