Evidence map›Paper›PMID 40330362›Full record

ArticleCureus2025

Correlation Between Thyroid Hormone Profiles and Kidney Disease: Improving Global Outcomes (KDIGO) Risk Categories in Diabetic Kidney Disease Patients.

Kashif Abdullah, Anjum Shahzad, Seemab Javaid, Muhammad Albaz Khan Chandia, Muhammad Jamil, Adnan Ahmad Zafar, Alia Mirghani Ahmed Mirghani, Muhammad Irfan Jamil, Adeel Ahmed

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Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kashif AbdullahNephrology, Chelsea and Westminster Hospital NHS Foundation Trust, London, GBR.
Anjum ShahzadNephrology, Lahore General Hospital, Lahore, PAK.
Seemab JavaidNephrology, Sir Ganga Ram Hospital, Lahore, PAK.
Muhammad Albaz Khan ChandiaInternal Medicine, Nishtar Medical University, Multan, PAK.
Muhammad JamilInternal Medicine, Nishtar Medical University, Multan, PAK.
Adnan Ahmad ZafarNephrology, Islam Medical & Dental College, Sialkot, PAK.
Alia Mirghani Ahmed MirghaniPathology, University of Gezira, Wad Madani, SDN.
Muhammad Irfan JamilNephrology, Lahore General Hospital, Lahore, PAK.
Adeel AhmedMedicine, Lahore General Hospital, Lahore, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim Thyroid dysfunction is commonly observed in individuals with diabetic kidney disease (DKD) and may influence disease progression. This study aimed to investigate the relationship between thyroid hormone profiles and Kidney Disease: Improving Global Outcomes (KDIGO) risk stratification in patients with DKD. Methods A cross-sectional analysis was conducted on 350 patients diagnosed with DKD, recruited from the nephrology outpatient department at Lahore General Hospital between December 2023 and June 2024. Participants were selected through consecutive sampling and categorized according to KDIGO risk levels. Thyroid hormones, including free triiodothyronine (FT3), free thyroxine (FT4), and thyroid-stimulating hormone (TSH), were assessed alongside renal and metabolic markers such as estimated glomerular filtration rate (eGFR), albumin-to-creatinine ratio (ACR), serum creatinine, glycated hemoglobin (HbA1c), and duration of diabetes. Results Among the 350 DKD patients, 195 (55.7%) were euthyroid, 71 (20.3%) had overt hypothyroidism, 64 (18.3%) had subclinical hypothyroidism, and 20 (5.7%) had hyperthyroidism. The prevalence of thyroid dysfunction increased with KDIGO risk, showing significant variation across groups (p = 0.005). FT3 levels declined significantly from 4.15 ± 0.52 pmol/L in the low-risk group to 3.66 ± 0.73 pmol/L in the very high-risk group (F = 13.08, p < 0.001). FT4 levels also showed a significant decrease (p = 0.003), while TSH levels increased progressively (p = 0.001). FT3 was positively correlated with eGFR (r = 0.277, p < 0.001) and negatively correlated with ACR (r = -0.185, p = 0.001) and serum creatinine (r = -0.277, p < 0.001). FT4 showed a weaker positive correlation with eGFR (r = 0.150) and inverse correlations with ACR and creatinine (p < 0.05). TSH was negatively associated with eGFR (r = -0.191, p < 0.001) and positively associated with creatinine (r = 0.191, p < 0.001). Conclusions This study highlights a strong association between thyroid dysfunction and the severity of DKD. As KDIGO risk increased, FT3 and FT4 levels declined while TSH levels rose. These thyroid hormone alterations were significantly correlated with key renal markers, suggesting their potential utility in monitoring renal function in DKD patients.

Indexed as

chronic kidney disease (ckd)diabetic kidney disease (dkd)kidney disease: improving global outcomes (kdigo) classificationthyroid disorderthyroid-stimulating hormone

Identifiers

PMID40330362
PMCPMC12053021

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