Evidence map›Paper›PMID 42164172›Full record

ArticleBMJ neurology open2026

Correlation of cerebrospinal fluid IL-6 as a marker of disease activity in patients with longitudinally extensive transverse myelitis.

Sangam Singh, Ajai Kumar Singh, Pradeep Kumar Maurya, Manish Kulshreshtha, Dinkar Kulshreshtha, Abdul Qavi

Abstract read
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Article in BMJ neurology open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sangam SinghNeurology, Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India.ORCID https://orcid.org/0009-0003-3052-2969
Ajai Kumar SinghNeurology, Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India.
Pradeep Kumar MauryaNeurology, Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India.
Manish KulshreshthaBiochemistry, Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India.
Dinkar KulshreshthaNeurology, Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India.
Abdul QaviNeurology, Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Longitudinally extensive transverse myelitis (LETM) is a severe inflammatory spinal cord disorder. It is commonly associated with neuromyelitis optica spectrum disorders and other autoimmune conditions like Sjögren syndrome, infectious and idiopathic aetiologies. Interleukin-6 (IL-6) is one of the key pro-inflammatory cytokines implicated in neuroinflammation and may serve as an important biomarker of disease activity. Objective: To evaluate the correlation between cerebrospinal fluid (CSF) IL-6 levels and disease activity in patients with LETM and to assess its prognostic value for short-term functional outcomes. Methods: In this prospective follow-up study conducted over 18 months, 41 patients with LETM and 21 controls with non-inflammatory neurological conditions were enrolled. Disease severity was assessed using the Expanded Disability Status Scale (EDSS) at admission and at 3-month follow-up. CSF IL-6 levels were analysed and correlated with clinical and radiological variables using Spearman correlation, receiver operating characteristic (ROC) analysis and multivariate regression. Results: Median CSF IL-6 levels were significantly higher in LETM patients than controls (11.26 vs 5.02 pg/mL; p<0.001). CSF IL-6 showed a moderate positive correlation with EDSS at admission (ρ=0.34, p=0.027) and follow-up (ρ=0.51, p<0.001). ROC analysis demonstrated fair predictive accuracy for severe disease (AUC=0.70), with a cut-off of approximately 7 pg/mL. Multivariate analysis identified CSF IL-6 as an independent predictor of disease severity. Conclusions: CSF IL-6 correlates with disease activity and disability in LETM and may serve as a useful biomarker for prognostication and treatment planning.

Indexed as

INFLAMMATIONMRIMULTIPLE SCLEROSISMYELOPATHYNEUROEPIDEMIOLOGY

Identifiers

PMID42164172
PMCPMC13185011

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