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Alcantara M, Ngo M, de la Cruz J, Menon D, Barnett-Tapia C, Katzberg H, Bril V. Temporal Dispersion and Duration of the Distal Compound Muscle Action Potential Do Not Distinguish Diabetic Sensorimotor Polyneuropathy From Chronic Inflammatory Demyelinating Polyneuropathy. Front Neurol 2022; 13:872762. [PMID: 35557614 PMCID: PMC9087194 DOI: 10.3389/fneur.2022.872762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveTo investigate the contribution of duration and temporal dispersion (TD) of the distal compound muscle action potential (CMAP) in discriminating chronic inflammatory demyelinating polyneuropathy (CIDP) from diabetic sensorimotor polyneuropathy (DSP) and from CIDP+DSP.MethodsWe performed a retrospective review of patients diagnosed with CIDP, DSP and CIDP+DSP (responsive to immunotherapy) and examined differences in CMAP duration and TD at baseline.ResultsWe included 59 subjects: 17 CIDP, 21 DSP and 21 CIDP+DSP. Of these, 16 (94.1%) CIDP, 18 (85.7%) CIDP+DSP and 1 (4.7%) DSP fulfilled the 2010 EFNS/PNS criteria for definite CIDP. There was no difference in CMAP duration or TD in all nerves (compound outcome) or in individual motor nerves. Patients with CIDP/CIDP+DSP had more conduction blocks, slower conduction velocities and more prolonged F wave latencies than those with DSP.ConclusionMeasures of CMAP duration and TD were not helpful in distinguishing CIDP, DSP or CIDP+DSP patients; however, parameters such as F-wave latencies, conduction blocks or the number of demyelinating parameters were useful in this separation.SignificanceThere are no definite nerve conduction criteria to distinguish patients with CIDP+DSP from DSP alone. Further studies focusing on measures of demyelination may provide stronger evidence to guide treatment decisions in CIDP + DSP patients.
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Affiliation(s)
- Monica Alcantara
- Ellen and Martin Prosserman Centre for Neuromuscular Diseases, Toronto General Hospital, University Health Network (UHN), Toronto, ON, Canada
| | - Mylan Ngo
- Ellen and Martin Prosserman Centre for Neuromuscular Diseases, Toronto General Hospital, University Health Network (UHN), Toronto, ON, Canada
| | - James de la Cruz
- Ellen and Martin Prosserman Centre for Neuromuscular Diseases, Toronto General Hospital, University Health Network (UHN), Toronto, ON, Canada
| | - Deepak Menon
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Carolina Barnett-Tapia
- Ellen and Martin Prosserman Centre for Neuromuscular Diseases, Toronto General Hospital, University Health Network (UHN), Toronto, ON, Canada
| | - Hans Katzberg
- Ellen and Martin Prosserman Centre for Neuromuscular Diseases, Toronto General Hospital, University Health Network (UHN), Toronto, ON, Canada
| | - Vera Bril
- Ellen and Martin Prosserman Centre for Neuromuscular Diseases, Toronto General Hospital, University Health Network (UHN), Toronto, ON, Canada
- *Correspondence: Vera Bril
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Doneddu PE, Cocito D, Manganelli F, Fazio R, Briani C, Filosto M, Benedetti L, Bianchi E, Jann S, Mazzeo A, Antonini G, Cosentino G, Marfia GA, Cortese A, Clerici AM, Carpo M, Schenone A, Siciliano G, Luigetti M, Lauria G, Rosso T, Cavaletti G, Beghi E, Liberatore G, Santoro L, Spina E, Peci E, Tronci S, Ruiz M, Cotti Piccinelli S, Verrengia EP, Gentile L, Leonardi L, Mataluni G, Piccolo L, Nobile-Orazio E. Frequency of diabetes and other comorbidities in chronic inflammatory demyelinating polyradiculoneuropathy and their impact on clinical presentation and response to therapy. J Neurol Neurosurg Psychiatry 2020; 91:1092-1099. [PMID: 32868387 DOI: 10.1136/jnnp-2020-323615] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 08/01/2020] [Accepted: 08/06/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To determine the prevalence of different comorbidities in chronic inflammatory demyelinating polyradiculoneuropathy (CIDP), and their impact on outcome, treatment choice and response. METHODS Using a structured questionnaire, we collected information on comorbidities from 393 patients with CIDP fulfilling the European Federation of Neurological Societies and Peripheral Nerve Society criteria included in the Italian CIDP database. RESULTS One or more comorbidities were reported by 294 patients (75%) and potentially influenced treatment choice in 192 (49%) leading to a less frequent use of corticosteroids. Response to treatment did not differ, however, from that in patients without comorbidities. Diabetes (14%), monoclonal gammopathy of undetermined significance (MGUS) (12%) and other immune disorders (16%) were significantly more frequent in patients with CIDP than expected in the general European population. Patients with diabetes had higher disability scores, worse quality of life and a less frequent treatment response compared with patients without diabetes. Patients with IgG-IgA or IgM MGUS had an older age at CIDP onset while patients with other immune disorders had a younger age at onset and were more frequently females. IgM MGUS was more frequent in patients with motor CIDP than in patients with typical CIDP. CONCLUSIONS Comorbidities are frequent in patients with CIDP and in almost 50% of them have an impact on treatment choice. Diabetes, MGUS and other immune diseases are more frequent in patients with CIDP than in the general population. Only diabetes seems, however, to have an impact on disease severity and treatment response possibly reflecting in some patients a coexisting diabetic neuropathy.
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Affiliation(s)
- Pietro Emiliano Doneddu
- Neuromuscular and Neuroimmunology Service, Humanitas Clinical and Research Center - IRCCS, Rozzano, Italy
| | - Dario Cocito
- Divisione di Riabilitazione Neuromotoria, Istituti Clinici Scientifici Maugeri - Presidio Sanitario Major, Torino, Italy
| | - Fiore Manganelli
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University Federico II of Naples, Naples, Italy
| | - Raffaella Fazio
- Department of Neurology, San Raffaele Hospital Institute of Experimental Neurology, Milano, Lombardia, Italy
| | - Chiara Briani
- Department of Neuroscience, University of Padua, Padova, Italy
| | | | - Luana Benedetti
- Department of Neurology, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Elisa Bianchi
- Laboratorio di Malattie Neurologiche, IRCCS-Istituto Mario Negri, Milano, Italy
| | - Stefano Jann
- Department of Neuroscience, Niguarda Ca' Granda Hospital, Milano, Italy
| | - Anna Mazzeo
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Messina, Messina, Italy
| | - Giovanni Antonini
- Department of Neurology Mental Health and Sensory Organs (NESMOS), 'Sapienza' University of Rome, Sant' Andrea Hospital, Roma, Italy
| | - Giuseppe Cosentino
- Department of Neurology, University of Pavia, IRCCS Mondino Foundation, Pavia, Italy
| | | | - Andrea Cortese
- Department of Neurology, University of Pavia, IRCCS Mondino Foundation, Pavia, Italy
| | | | - Marinella Carpo
- Department of Neurology, ASST Bergamo Ovest-Ospedale Treviglio, Treviglio, Italy
| | - Angelo Schenone
- Department of Neuroscience, Rehabilitation, Ophtalmology, Genetics, Maternal and Child Health, University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy
| | - Gabriele Siciliano
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Marco Luigetti
- UOC Neurologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.,Dipartimento di scienze dell'invecchiamento, neurologiche, ortopediche e della testa-collo, Universita Cattolica del Sacro Cuore Sede di Roma, Roma, Italy
| | - Giuseppe Lauria
- Unit of Neuroalgology, Foundation IRCCS Carlo Besta Neurological Institute, Milano, Italy.,Department of Biomedical and Clinical Sciences 'Luigi Sacco', University of Milan, Milano, Italy
| | - Tiziana Rosso
- UOC Neurologia-Castelfranco Veneto, ULSS2 Marca Trevigiana, Treviso, Italy
| | - Guido Cavaletti
- School of Medicine and Surgery and Experimental Neurology Unit, Universita degli Studi di Milano-Bicocca, Milano, Italy
| | - Ettore Beghi
- Laboratorio di Malattie Neurologiche, IRCCS-Istituto Mario Negri, Milano, Italy
| | - Giuseppe Liberatore
- Neuromuscular and Neuroimmunology Service, Humanitas Clinical and Research Center - IRCCS, Rozzano, Italy
| | - Lucio Santoro
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University Federico II of Naples, Naples, Italy
| | - Emanuele Spina
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University Federico II of Naples, Naples, Italy
| | - Erdita Peci
- Department of Neuroscience, University of Turin, Torino, Italy
| | - Stefano Tronci
- Department of Neurology, San Raffaele Hospital Institute of Experimental Neurology, Milano, Lombardia, Italy
| | - Marta Ruiz
- Department of Neuroscience, University of Padua, Padova, Italy
| | | | | | - Luca Gentile
- Department of Clinical and Experimental Medicine, Unit of Neurology, University of Messina, Messina, Italy
| | - Luca Leonardi
- Department of Neurology Mental Health and Sensory Organs (NESMOS), 'Sapienza' University of Rome, Sant' Andrea Hospital, Roma, Italy
| | - Giorgia Mataluni
- Department of Systems Medicine, Univeristy of Roma Tor Vergata, Rome, Italy
| | - Laura Piccolo
- Department of Neurology, University of Pavia, IRCCS Mondino Foundation, Pavia, Italy
| | - Eduardo Nobile-Orazio
- Neuromuscular and Neuroimmunology Service, Humanitas Clinical and Research Center - IRCCS, Rozzano, Italy .,Department of Medical Biotechnology and Translational Medicine, University of Milan, Milano, Lombardia, Italy
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Baek SH, Hong YH, Choi SJ, Ahn SH, Park KH, Shin JY, Sung JJ. Electrodiagnostic data-driven clustering identifies a prognostically different subgroup of patients with chronic inflammatory demyelinating polyneuropathy. J Neurol Neurosurg Psychiatry 2019; 90:674-680. [PMID: 30904899 DOI: 10.1136/jnnp-2018-319758] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 12/25/2018] [Accepted: 01/04/2019] [Indexed: 11/04/2022]
Abstract
OBJECTIVE This study aimed to explore the correlations between electrodiagnostic (EDX) features in patients with chronic inflammatory demyelinating polyneuropathy (CIDP) and to investigate whether EDX data-driven clustering can identify a distinct subgroup regarding clinical phenotype and treatment response. METHODS We reviewed clinical and EDX data of 56 patients with definite CIDP fulfilling the 2010 European Federation of Neurological Societies and Peripheral Nerve Society criteria at two teaching hospitals. A hierarchical agglomerative clustering algorithm with complete linkage was used to partition the patients into subgroups with similar EDX features. A stepwise logistic regression analysis was performed to evaluate predictors of the long-term outcome. RESULTS EDX data-driven clustering partitioned the patients into two clusters, identifying a distinct subgroup characterised by coexistence of prominent conduction slowing and markedly reduced distally evoked compound muscle action potential (CMAP) amplitudes. This cluster of patients was significantly over-represented by an atypical subtype (distal acquired demyelinating symmetric polyneuropathy) compared with the other cluster (70% vs 26.1%, p=0.042). Furthermore, patients in this cluster invariably showed favourable long-term treatment outcome (100% vs 63%, p=0.023). In logistic regression analyses, the initial disability (OR 6.1, 95% CI 2.4 to 25.4), F-wave latency (OR 0.93, 95% CI 0.86 to 0.98) and distal CMAP duration (OR 0.96, 95% CI 0.91 to 0.99) were significant predictors of the poor long-term outcome. CONCLUSION Our results show that EDX data-driven clustering could differentiate a pattern of EDX features with prognostic implication in patients with CIDP. Reduced distally evoked CMAPs may not necessarily predict poor responses to treatment, and active treatment is warranted when prominent slowing of conduction is accompanied in the distal segments.
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Affiliation(s)
- Seol-Hee Baek
- Department of Neurology, Korea University Medical Center, Korea University College of Medicine, Seoul, Republic of Korea
| | - Yoon-Ho Hong
- Department of Neurology, Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Neuroscience Research Institute, Seoul National University Medical Research Council, Seoul, Republic of Korea
| | - Seok-Jin Choi
- Department of Neurology, Inha University Hospital, Incheon, Republic of Korea
| | - So Hyun Ahn
- Department of Neurology, Neuroscience Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kee Hong Park
- Department of Neurology, Gyeongsang National University Hospital, Jinju, Republic of Korea
| | - Je-Young Shin
- Department of Neurology, Neuroscience Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jung-Joon Sung
- Department of Neurology, Neuroscience Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
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Abstract
BACKGROUND High levels of uric acid (UA) are associated with various peripheral neuropathies. Furthermore, uric acid levels have been found to correlate with both the clinical and electrophysiological severity of diabetic sensorimotor polyneuropathy, mainly with sensory functions. OBJECTIVES To determine whether higher UA levels are associated negatively with nerve function in healthy subjects. METHODS A total of 126 healthy subjects recruited prospectively for another study were included. We extracted demographic data, body mass index (BMI), blood pressure, Toronto Clinical Neuropathy Score (TCNS), electrophysiological findings, vibration perception thresholds (VPT), and laboratory test results including UA, hemoglobin A1c (HbA1c), estimated glomerular filtration rate (eGFR), and lipid levels. RESULTS The mean age of the cohort was 56 ± 17 years with 56% females. Males had higher UA values compared with females. Univariate beta regression coefficient analysis between UA levels and demographic, clinical, electrophysiological, and laboratory findings showed significant positive correlations with male gender, components of the metabolic syndrome, and with VPT, while an inverse correlation was found with electrophysiological sensory parameters. A multivariate regression model showed positive correlations only with BMI, finger VPT, and triglycerides. CONCLUSION Higher UA levels correlate with lower sensory nerve function in healthy subjects, expanding the evidence of possible negative influence of UA on peripheral nerves, although a causative role has not yet established.
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