The objective of this study was to identify early clinical, biochemical and electrophysiological prognostic factors of disability in CIDP. We evaluated a dataset from 60 CIDP patients that included sex, age of onset, type of onset, phenotype, disease duration, response to treatment, disability at the time of diagnosis assessed using the modified Rankin Scale (baseline mRS), cerebrospinal fluid protein levels and electrophysiological data. All patients had clinical assessment of disability through the mRS within the last 6 months (last mRS) before enrollment in the study. Stepwise forward logistic regression model was applied to evaluate the impact of clinical, biochemical and electrophysiological parameters on the last mRS, considered as binary outcome (absence or presence of severe disability, i.e., <4/≥4 mRS). Moreover, we used Spearman's rank correlation coefficient to evaluate the relationship between disease duration and last mRS. We observed a significant relationship between last mRS and baseline mRS [p = 0.015, z = 2.44, OR 5.15 (CI 1.38-19.22)] and age of onset [p = 0.017, z = 2.39, OR 1.13 (CI 1.02-1.27) per additional year of age of onset]. There was no correlation between disease duration and last mRS. Our data suggest that a worse clinical status at the beginning of disease and an older age at onset may be negative prognostic factors of long-term disability independent from disease duration.

Early predictive factors of disability in CIDP / Spina, Emanuele; Topa, Antonietta; Iodice, Rosa; Tozza, Stefano; Ruggiero, Lucia; Dubbioso, Raffaele; Esposito, Marcello; Bruzzese, Dario; Santoro, Lucio; Manganelli, Fiore. - In: JOURNAL OF NEUROLOGY. - ISSN 0340-5354. - 264:9(2017), pp. 1939-1944. [10.1007/s00415-017-8578-9]

Early predictive factors of disability in CIDP

SPINA, EMANUELE;TOPA, ANTONIETTA;IODICE, ROSA;TOZZA, STEFANO;RUGGIERO, LUCIA;DUBBIOSO, RAFFAELE;ESPOSITO, MARCELLO;BRUZZESE, DARIO;SANTORO, LUCIO;MANGANELLI, FIORE
2017

Abstract

The objective of this study was to identify early clinical, biochemical and electrophysiological prognostic factors of disability in CIDP. We evaluated a dataset from 60 CIDP patients that included sex, age of onset, type of onset, phenotype, disease duration, response to treatment, disability at the time of diagnosis assessed using the modified Rankin Scale (baseline mRS), cerebrospinal fluid protein levels and electrophysiological data. All patients had clinical assessment of disability through the mRS within the last 6 months (last mRS) before enrollment in the study. Stepwise forward logistic regression model was applied to evaluate the impact of clinical, biochemical and electrophysiological parameters on the last mRS, considered as binary outcome (absence or presence of severe disability, i.e., <4/≥4 mRS). Moreover, we used Spearman's rank correlation coefficient to evaluate the relationship between disease duration and last mRS. We observed a significant relationship between last mRS and baseline mRS [p = 0.015, z = 2.44, OR 5.15 (CI 1.38-19.22)] and age of onset [p = 0.017, z = 2.39, OR 1.13 (CI 1.02-1.27) per additional year of age of onset]. There was no correlation between disease duration and last mRS. Our data suggest that a worse clinical status at the beginning of disease and an older age at onset may be negative prognostic factors of long-term disability independent from disease duration.
2017
Early predictive factors of disability in CIDP / Spina, Emanuele; Topa, Antonietta; Iodice, Rosa; Tozza, Stefano; Ruggiero, Lucia; Dubbioso, Raffaele; Esposito, Marcello; Bruzzese, Dario; Santoro, Lucio; Manganelli, Fiore. - In: JOURNAL OF NEUROLOGY. - ISSN 0340-5354. - 264:9(2017), pp. 1939-1944. [10.1007/s00415-017-8578-9]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/683052
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