Application of a Clinical-electrophysiologic Model for Distinguishing Chronic Inflammatory Demyelinating Neuropathy (CIDP) in an Australian Cohort (P10-11.033)
Neurology | April 7, 2025 | Volume: 104 | Issue: 7_Supplement_1 | Pages: No page available
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.
Distinguishing Chronic Inflammatory Demyelinating Polyneuropathy From Mimic Disorders: The Role of Statistical Modeling
Journal of the Peripheral Nervous System | January 13, 2025 | Volume: 30 | Issue: 1 | Pages: No page available
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.
Distinctive clinical features in biopsy-proven nerve large-arteriole vasculitis and microvasculitis
Abstract Vasculitic neuropathy is caused by inflammatory destruction of nerve blood vessels resulting in nerve ischaemia. Nerve vasculitis can be divided into two categories based on vessel size: large-arteriole vasculitis (≥75 µm) and microvasculitis (<75 µm). Herein, we characterize the clinical features of nerve large-arteriole vasculitis in comparison to nerve microvasculitis. This is a retrospective cohort study of patients evaluated and biopsied at Mayo sites between 2001 and 2020. We collected clinical and histopathological data from patients whose nerve biopsies were either diagnostic or highly suggestive of nerve vasculitis. Two hundred and seventy-eight cases were identified: 125 cases of large-arteriole vasculitis and 153 cases of microvasculitis. Nerve large-arteriole vasculitis presented with a more acute (50.4% versus 26.8%) versus chronic onset (33.6% versus 57.5%) than nerve microvasculitis (P = 0.0001). Nerve microvasculitis had longer mean time to diagnosis (10.5 versus 4.3 months; P < 0.0001) and longer time to plateau (8.9 versus 3.5 months; P < 0.0001). Nerve large-arteriole vasculitis typically presented as distal asymmetric polyneuropathy (48.0%), whereas nerve microvasculitis typically presented as radiculoplexus neuropathy/polyradiculoneuropathy (more proximal involvement of shoulder and thigh) (43.8%) (P < 0.0001). Systemic autoimmune disease was more common in nerve large-arteriole vasculitis (70.4% versus 22.9%, odds ratio, 8.0; 95% confidence interval, 4.7–13.7; P < 0.0001). Nerve microvasculitis was significantly related to non-systemic vasculitis (71% versus 23%, odds ratio, 7.9; 95% confidence interval, 4.6–13.6; P < 0.0001). Nerve microvasculitis had more autonomic involvement (24.2% versus 7.2%, odds ratio, 4.1; 95% confidence interval, 1.9–8.9; P = 0.0002). Nerve large-arteriole vasculitis and nerve microvasculitis have different but overlapping clinical features. Nerve large-arteriole vasculitis usually presents with acute onset, distal asymmetric polyneuropathy, associated with other autoimmune diseases and systemic involvement. In contrast, nerve microvasculitis usually presents with a subacute/chronic onset, as radiculoplexus neuropathy/polyradiculopathy (distal and proximal pattern) with autonomic involvement, and is more often a form of non-systemic vasculitis.