# Association Between Thyroid Hormone Levels and Disease Prognosis in Guillain–Barré Syndrome: A Retrospective Study

**Authors:** Yangrongzhuo Huang, Yuhan Li, Hailing Zhou, Juan Tang

PMC · DOI: 10.1002/hsr2.70818 · Health Science Reports · 2025-05-15

## TL;DR

This study found that low thyroid hormone levels are linked to worse outcomes in Guillain–Barré syndrome patients and are associated with inflammatory markers.

## Contribution

The study identifies thyroid hormone levels as independent risk factors for poor prognosis in GBS and explores their relationship with inflammatory markers.

## Key findings

- Reduced FT4 and T4 levels were significantly associated with poor prognosis in GBS patients.
- Thyroid hormones showed significant correlations with inflammatory markers like ESR, neutrophil count, and NLR.
- PLR was strongly correlated with NLR, and WBC count was highly correlated with neutrophil count.

## Abstract

Guillain–Barré syndrome (GBS) is an immune‐mediated neuropathy characterized by progressive sensory and motor dysfunction, often accompanied by abnormal inflammatory markers and thyroid hormone levels. However, the underlying mechanisms and their impact on prognosis remain incompletely understood. This study aimed to investigate the correlation between thyroid hormone levels and prognosis in GBS, analyze the association between thyroid hormone levels and inflammatory markers, and further explore potential mechanisms and clinical implications.

We retrospectively analyzed clinical data from 182 GBS patients admitted to the First Affiliated Hospital of Shihezi University between December 2019 and April 2024. Data included thyroid hormone levels and inflammatory markers (e.g., neutrophils, leukocytes). Functional status was assessed using the Hughes Functional Grading Scale (HFGS) within 3 months post‐discharge. Patients were stratified into two groups: HFGS score < 3 (good prognosis group, n = 66) and ≥ 3 (poor prognosis group, n = 116). Logistic regression identified prognostic risk factors, Receiver operating characteristic (ROC) curves determined cut‐off values for FT4 and T4, and correlation analyses evaluated relationships between thyroid hormone levels and inflammatory markers.

Reduced FT4 and T4 levels were significantly associated with poor prognosis in GBS patients (p < 0.05). Spearman correlation analysis demonstrated significant associations between thyroid hormones and inflammatory markers. FT3 exhibited negative correlations with erythrocyte sedimentation rate (ESR) (r = −0.342, p < 0.01) and neutrophil count (r = −0.205, p < 0.05), whereas FT4 was positively correlated with NLR (r = 0.219, p < 0.05) and T4 levels (r = 0.506, p < 0.01). T3 was inversely associated with neutrophil count (r = −0.220, p < 0.05). Among inflammatory markers, PLR showed a strong positive correlation with NLR (r = 0.671, p < 0.01), and WBC count was highly correlated with neutrophil count (r = 0.889, p < 0.01). These findings suggest a potential interplay between thyroid hormone regulation and systemic inflammatory responses.

This study suggests that low FT4 and T4 levels are independent risk factors for poor prognosis in GBS patients, with thyroid hormone levels exhibiting certain associations with inflammatory markers.

## Linked entities

- **Diseases:** Guillain–Barré syndrome (MONDO:0016218)

## Full-text entities

- **Genes:** TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, FAS (Fas cell surface death receptor) [NCBI Gene 355] {aka ALPS1A, APO-1, APT1, CD95, FAS1, FASTM}, TNFRSF1A (TNF receptor superfamily member 1A) [NCBI Gene 7132] {aka CD120a, FPF, TBP1, TNF-R, TNF-R-I, TNF-R55}, FASLG (Fas ligand) [NCBI Gene 356] {aka ALPS1B, APT1LG1, APTL, CD178, CD95-L, CD95L}
- **Diseases:** microbial infections (MESH:D015163), poliomyelitis (MESH:D011051), dysphagia (MESH:D003680), Motor and sensory deficits (MESH:D001289), sensory and motor dysfunction (MESH:C536988), nerve involvement (MESH:C564676), Hysterical paralysis (MESH:D010243), axonal damage (MESH:D001480), muscle weakness (MESH:D018908), Psychiatric (MESH:D001523), neurological diseases (MESH:D020271), diarrheal (MESH:D004403), dermatomyositis (MESH:D003882), bloating (MESH:C535647), subarachnoid hemorrhage (MESH:D013345), MD (MESH:D009461), axonal-demyelinating pathology (MESH:D003711), Hashimoto's thyroiditis (MESH:D050031), facial paralysis (MESH:D005158), cardiac arrhythmias (MESH:D001145), dysarthria (MESH:D004401), pulmonary (MESH:D008171), trauma (MESH:D014947), periodic paralysis (MESH:D010245), conditions (MESH:D020763), neuropathy (MESH:D009422), rhabdomyolysis (MESH:D012206), urinary/bowel dysfunction (MESH:D015212), gastrointestinal symptoms (MESH:D012817), ophthalmoplegia (MESH:D009886), thyroid storm (MESH:D013958), autoimmune polyradiculoneuropathy (MESH:D011129), numbness (MESH:D006987), post-infectious thyroiditis (MESH:D013969), SD (MESH:D012678), lymphocytopenia (MESH:D008231), diarrhea (MESH:D003967), immune (MESH:D007154), NLR (MESH:D015467), thyroid disorders (MESH:D013959), nerve conduction abnormalities (MESH:D054537), infection (MESH:D007239), GBS (MESH:D020275), wound infections (MESH:D014946), PE (MESH:D054219), Lyme disease (MESH:D008193), peripheral neuropathy (MESH:D010523), AD (MESH:D001342), neuroinflammatory (MESH:D000090862), myasthenia gravis (MESH:D009157), Inflammatory (MESH:D007249), constipation (MESH:D003248), Respiratory compromise (MESH:D012131), nausea (MESH:D009325), thyroid hormone abnormalities (MESH:C566454), encephalitis (MESH:D004660), Corynebacterium diphtheriae (MESH:D004165), pain (MESH:D010146)
- **Chemicals:** FT3 (-), T3 (MESH:D014284), T4 (MESH:D013974), ROS (MESH:D017382), ganglioside (MESH:D005732)
- **Species:** Homo sapiens (human, species) [taxon 9606], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12079770/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12079770/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC12079770/full.md

---
Source: https://tomesphere.com/paper/PMC12079770