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Allen, Jeffrey A

0000-0001-8753-2680

Mayo Clinic

Department of Neurology, University of Minnesota, Minneapolis, Minnesota, USA.

Citations 2

Distinguishing Chronic Inflammatory Demyelinating Polyneuropathy From Mimic Disorders: The Role of Statistical Modeling
Swart, Grace , Lewis, Richard A. , Dubey, Divyanshu , Spies, Judith , Laughlin, Ruple S. , Santilli, Ashley R. , Rashed, Hebat‐Allah G, Mirman, Igal, Swart, Alexander , Berini, Sarah E. , Shouman, Kamal , Mauermann, Michelle L. , Mills, John R. , Dyck, P. James B. , Harmsen, William S. , Mandrekar, Jay , Dubey, Divyanshu , Rashed, Hebatallah R. , Skolka, Michael P , Allen, Jeffrey A , Thakolwiboon, Smathorn , Rashed, Hebatallah, Klein, Christopher J , Dubey, Divyanshu , Mauermann, Michelle L , Shelly, Shahar , Allen, Jeffrey A. , Niu, Zhiyv , Pinto, Marcus Vinícius , Klein, Christopher J.

Journal of the Peripheral Nervous System | January 13, 2025 | Volume: 30 | Issue: 1 | Pages: No page available

10.1111/jns.12682 Get It

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.
Editorial by concerned physicians: Unintended effect of the orphan drug act on the potential cost of 3,4-diaminopyridine
Burns, Ted M., Smith, Gordon, Allen, Jeffrey A. , Amato, Anthony A. , Arnold, W. David , Barohn, Richard J., Benatar, Michael , Bird, Shawn J. , Bromberg, Mark B. , Chahin, Nizar, Ciafaloni, Emma , Corse, Andrea M. , David, William S., Dimberg, Elliot L., Sousa, De , Donofrio, Peter D., Dyck, P. James B. , Engel, Andrew G. , Ensrud, Erik , Ferrante, Mark A., Freimer, Miriam , Gable, Karissa , Gibson, Summer, Gilchrist, James M. , Goldstein, Jonathan , Gooch, Clifton L. , Goodman, Brent P., Gorelov, Dmitri, Gospe, Sídney M. , Goyal, Namita , Guidon, Amanda C. , Guptill, Jeffrey T. , Gutmann, Laurie , Gutmann, Ludwig , Gwathmey, Kelly , Harati, Yadollah, Harper, C. Michel , Hehir, Michael K. , Hobson‐Webb, Lisa D., Howard, James F. , Jackson, Carlayne E. , Jones, Sarah , Juel, Vern C. , Kaminski, Henry J. , Kennelly, Kathleen D., Khella, Sami, Khoury, Julie, Kincaid, John C., Kissel, John T., Kolb, Noah , Lacomis, David , Larriviere, Daniel G., Lewis, Richard A. , Litchy, William J. , Logigian, Eric L. , Lou, Jau-Shin, MacGowen, Daniel J.L., Maselli, Ricardo A. , Massey, Janice M., Mauermann, Michelle L. , Mathews, Katherine D. , Meriggioli, Matthew N. , Moon, Joon-Shik, Mozaffar, Tahseen , Nations, Sharon , Ostrow, Lyle W. , Pascuzzi, Robert M. , Peltier, Amanda , Ruzhansky, Katherine , Ross, Mark A., Rubin, Devon I., Russell, James A., Sachs, George, Salajegheh, Mohammad, Saperstein, David , Scelsa, Stephen N. , Selcen, Duygu , Shaibani, Aziz , Silvestri, Nicholas J. , Singleton, J. Rob, Smith, Benn E., So, Yuen T., Solórzano, Guillermo, Sorenson, Eric J. , Srinivasen, Jayashri, Tavee, Jinny , Tawil, Rabi , Thaisetthawatkul, Pariwat , Thornton, Charles A. , Trivedi, Jaya , Vernino, Steven , Wang, Annabel K., Webb, Tyler A., Weiss, Michael D. , Windebank, Anthony J. , Wolfe, Gil I. , Crum, Brian A. , Dimberg, Elliot, Chahin, Nizar, Cohen, Jeffrey Allen , Johnson, Nicholas E , Karam, Chafic , Ladha, Shafeeq , Li, Yuebing , Miller, Robert G. , Nowak, Richard J. , Richman, David P. , Shieh, Perry B. , Kolb, Noah A , Mauermann, Michelle L , Gutmann, Laurie , Allen, Jeffrey A , Arnold, W David , Vernino, Steven , Kaminski, Henry

Muscle & Nerve | December 13, 2015 | Volume: 53 | Issue: 2 | Pages: 165-168

10.1002/mus.25009 Get It