Skolka, Michael P

ABSTRACT Objectives T‐cell large granular lymphocytic leukemia (T‐LGLL), reported in up to 58% of inclusion body myositis (IBM) patients, is a rare leukemia of cytotoxic or less commonly helper T cells. The range of myopathies in T‐LGLL and the impact of coexisting T‐LGLL in IBM are not well understood. Our objectives are to investigate the spectrum of myopathies in patients with T‐LGLL and compare the clinical, serological, pathological, and transcriptomic features of IBM patients with and without T‐LGLL. Methods We reviewed two Mayo Clinic cohorts: (1) T‐LGLL patients evaluated for myopathies (2003–2018), and (2) IBM patients tested for T‐LGLL via T‐cell receptor gene rearrangement or flow cytometry (2016–2022). We also compared transcriptomic profiles of IBM muscle biopsies with and without T‐LGLL. Results Of 447 T‐LGLL patients, 13 (2.9%) had myopathies, IBM being the most common ( n = 7). Of 43 IBM patients, 9 (20.9%) had T‐LGLL, with 5 diagnosed prior to the onset of weakness. Clinical and pathological features were largely similar between IBM patients with and without T‐LGLL, except for milder finger flexor weakness and more frequent neutropenia (55.6% vs. 0%, p < 0.001) in the T‐LGLL group. However, transcriptomic analysis of muscle tissues revealed a more immunologically active profile, with upregulation of T‐cell and macrophage markers, elevated levels of IFN‐γ gene and IFN‐γ–inducible genes, heightened cytokine activity, and enhanced immunoglobulin production in IBM patients with T‐LGLL. Interpretation IBM is the most common myopathy in T‐LGLL patients. While clinico‐sero‐pathological features were largely similar, transcriptomic differences suggest IBM with T‐LGLL may represent a distinct, more immune‐driven subtype.

ABSTRACT Background and Aims Chronic inflammatory demyelinating polyradiculoneuropathy ( CIDP ) is a common, treatable, autoimmune, neuropathy frequently misdiagnosed. The complex electrodiagnostic ( EDX ) criteria required for diagnosis are challenging to apply in routine practice. This study evaluates the effectiveness of a machine‐assisted EDX tool in real‐time identification of demyelinating nerve conduction studies ( NCS ) stipulated by 2021‐ EAN / PNS CIDP criteria in conjunction with an online CIDP clinical probability calculator. Methods We prospectively evaluated 100 consecutive patients with referral or EDX diagnosis of polyradiculoneuropathy beginning January 1, 2024. Fifty patients were included, each from Jacksonville and Rochester Mayo Clinics. Routine electromyography ( EMG ) reports were compared to a machine‐assisted support tool applying 2021‐ EAN / PNS CIDP EDX criteria to NCS assessing demyelination. The EDX ‐assistant performance was compared to the final clinical diagnosis and our previously reported online CIDP clinical prediction tool ( https://news.mayocliniclabs.com/cidp‐calculator/ ). Results Among 100 patients (60% male; median age 64), 30 had a final clinical CIDP diagnosis with 29 having intravenous immunoglobulin follow‐up; 27 (93%) improved and 2 (7%) stabilized. Routine EMGs reported demyelination in 14 of 30 (47%), with 46% sensitivity and 79% specificity. The EDX ‐assistant identified CIDP demyelination in 28 of 30 (93%), with 93% sensitivity and 57% specificity. The clinical calculator detected CIDP in 30 of 30 (100%) with 86% specificity, increasing to 94% after excluding false positives lacking demyelinating features on the EDX tool. Interpretation A real‐time machine‐assisted EDX support tool, used with a clinical web‐based calculator, streamlines CIDP assessment by improving standardized identification of 2021‐EAN/PNS CIDP demyelinating NCS criteria and aiding clinical decisions.

ABSTRACTAimTo report a novel case of biopsy‐proven, mass spectrometry‐confirmed, wild‐type transthyretin amyloidosis (ATTRwt) in nerve.MethodsThe patient was identified and evaluated in the peripheral nerve clinic. Our nerve laboratory's pathology database and the literature were searched for prior evidence of pathologically confirmed cases of ATTRwt.ResultsA 94‐year‐old man with a history of lumbar spinal stenosis presented to the neurology clinic with subacute‐on‐chronic progressive, upper limb predominant weakness along with numbness and tingling paresthesia. Electromyography (EMG) revealed multiple mononeuropathies involving the right median nerve at the wrist, right ulnar nerve, and right distal radial nerve superimposed upon an axonal predominant peripheral neuropathy along with multilevel lumbosacral radiculopathies. Extensive serology for causes of neuropathy and multiple mononeuropathies returned unremarkable. A diagnostic right superficial radial nerve biopsy was performed and showed congophilic material within a small epineurial vessel wall in the nerve tissue. Amyloid typing by mass spectrometry was performed and revealed ATTRwt. TTR gene sequencing returned normal. The patient was diagnosed with ATTRwt neuropathy and started on diflunisal therapy for neuropathy treatment.ConclusionThis case confirms the presence of ATTRwt deposition directly in nerve tissue as the likely cause of the patient's large fiber and multiple mononeuropathies, expanding our current understanding of ATTRwt‐associated disease. Proving the direct association of ATTRwt and neuropathy may open up amyloid‐specific treatments for this disease.

ABSTRACTBackground and AimsNerve conduction studies (NCS) are integral to diagnosing chronic inflammatory demyelinating polyradiculoneuropathy (CIDP), but their role in predicting treatment outcomes remains underexplored. This study evaluates NCS changes at first follow‐up (first NCS changes) as predictors of treatment success in CIDP, focusing on their correlation with clinical outcomes over time.MethodsNewly diagnosed CIDP patients meeting the 2021 EAN/PNS criteria were retrospectively evaluated. Baseline and first follow‐up NCS parameters were compared with clinical outcomes, assessed by the Neuropathy Impairment Score (NIS) and Inflammatory Neuropathy Cause and Treatment (INCAT) disability score. All patients received first‐line immunotherapy (intravenous immunoglobulin, corticosteroids, or plasma exchange).ResultsOf 39 treated patients, 26 (66.7%) were responders based on improving NIS trends, while 13 (33.3%) were nonresponders. Responders showed significant improvements at the first follow‐up in fibular compound muscle action potential (CMAP) amplitude, ulnar CMAP amplitude, summated CMAP amplitudes, and fibular motor conduction velocity. Changes in fibular CMAP amplitude consistently correlated with NIS (R = −0.8 to −0.6, p ≤ 0.004) and INCAT disability score improvements (R = −0.6 to −0.3, p ≤ 0.032) across all follow‐up intervals up to 60 months. Ulnar and summated CMAP amplitude changes also correlated with clinical outcomes, though their associations were less sustained than those of fibular CMAP amplitude.InterpretationThe first change in fibular CMAP amplitude is a reliable biomarker for predicting CIDP treatment response, with ulnar and summated CMAP amplitudes as alternatives when the fibular response is absent. Our findings highlight the utility of first NCS changes in monitoring and predicting treatment outcomes in CIDP.

Abstract Objectives IBM is characterized by slowly progressive muscle weakness making it challenging to detect significant changes in weakness during a clinical trial. Trial participants receiving placebo may behave differently from in natural history studies. We aimed to quantify the change in muscle strength and IBM Functional Rating Scale (IBMFRS) of IBM patients receiving placebo during clinical trials. Methods Several databases were searched. Randomized, double-blinded, placebo-controlled trials without treatment intervention on the placebo group were included. Standardized mean differences (SMD) for change in muscle strength and mean differences for IBMFRS were used to calculate pooled effects, using DerSimonian-Laird continuous random effect models. Meta-regression determined change in muscle strength. Heterogeneity was evaluated using the I2 indicator. Results Eleven eligible trials were identified with 257 participants receiving placebo and a low risk of bias per the Cochrane Collaboration Risk of Bias 2 (RoB2) tool. Participants receiving placebo on average had a measurable decline in muscle strength with a mean effect size of –0.398 (95% CI –0.652, –0.144) (P = 0.002). SMD changed by –0.009 (–0.016, –0.002) points per week (P = 0.015). Manual muscle testing was associated with higher heterogeneity (I2 = 67.68%) compared with quantitative muscle testing (I2 = 0%). Only three studies reported IBMFRS results. The pooled change in IBMFRS at 12 months was –2.189 points (–3.893, –0.485) on this 0 to 40-point scale (P = 0.012), with relatively high heterogeneity. Conclusion Participants with IBM displayed a measurable decline in their muscle strength and IBMFRS during clinical trials, in keeping with the disease’s slowly progressive nature. These estimates can inform sample size calculations in future studies.

ABSTRACTBackground and AimsChronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is difficult to distinguish from mimicking disorders, with misdiagnosis resulting in IVIG overutilization. We evaluate a clinical‐electrophysiological model to facilitate CIDP versus mimic neuropathy prediction.MethodsUsing the European Academy of Neurology/Peripheral Nerve Society (EAN/PNS) 2021 CIDP guidelines we derived 26 clinical and 144 nerve conduction variables. The model was generated and validated utilizing total CIDP (n = 129) and mimics (n = 309); including (1) IgG4‐nodopathies; (2) POEMS (polyneuropathy–organomegaly–endocrinopathy–monoclonal protein‐skin changes); (3) anti‐myelin‐associated‐glycoprotein; (4) paraneoplastic; (5) Waldenström B‐cell lymphoma; (6) diabetic neuropathies; (7) amyloidosis; (8) Charcot–Marie–Tooth; (9) motor neuropathies/neuronopathies; and (10) idiopathic‐inflammatory‐myopathies.ResultsWe analyzed 9282 clinical and 51 408 electrophysiological data points. Univariate analysis identified 11 of 26 clinical variables with significant odds ratios. A multivariate regression model using four clinical and two electrophysiologic variables achieved 93% area‐under‐curve (95% CI 91–95): progression over 8 weeks (OR 40.66, 95% CI 5.31–311.36), absent autonomic involvement (OR 17.82, 95% CI 2.93–108.24), absent muscle atrophy (OR 16.65, 95% CI 3.27–84.73), proximal weakness (OR 3.63, 95% CI 1.58–8.33), ulnar motor conduction velocity slowing < 35.7 m/s (OR 5.21, 95% CI 2.13–12.76), and ulnar motor conduction block (OR 13.37, 95% CI 2.47–72.40). A web‐based probability calculator (https://news.mayocliniclabs.com/cidp‐calculator/) was developed, with 100% sensitivity and 68% specificity at a 92% probability threshold. Specificity improved to 93% when considering “red flags,” electrophysiologic criteria, and laboratory testing.InterpretationA probability calculator using clinical electrophysiological variables assists CIDP differentiation from mimics, with scores below 92% unlikely to have CIDP. The highest specificity is achieved by considering clinical “red flags,” electrophysiologic demyelination, and laboratory testing.