Stefano Ziccardi

Dr. Stefano Ziccardi

Department of Neurosciences, Biomedicine and Movement, University of Verona, Verona, Veneto, Italy
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
17 May 2020 in Annals of Neurology
Verified
Journal Article
Closed access
PDF file
RMRoberta Magliozzi
Roberta Magliozzi
ASAntonio Scalfari
Antonio Scalfari
APAnna Isabella Pisani
Anna Isabella Pisani
SZStefano Ziccardi
Stefano Ziccardi
DMDamiano Marastoni
Damiano Marastoni
Massimiliano CalabreseMassimiliano Calabrese
Massimiliano Calabrese

1 April 2019 in Multiple Sclerosis and Related Disorders
Verified
Journal Article
Closed access
Marco PitteriMarco Pitteri
Marco Pitteri
HGHelen Genova
Helen Genova
JLJean Lengenfelder
Jean Lengenfelder
JDJohn DeLuca
John DeLuca
SZStefano Ziccardi
Stefano Ziccardi
Massimiliano CalabreseMassimiliano Calabrese
Massimiliano Calabrese

1 September 2019 in Multiple Sclerosis and Related Disorders
Verified
Journal Article
Closed access
TFTom A. Fuchs
Tom A. Fuchs
SZStefano Ziccardi
Stefano Ziccardi
MDMichael G. Dwyer
Michael G. Dwyer
LCLeigh Charvet
Leigh Charvet
ABAlexander Bartnik
Alexander Bartnik
RBRalph HB Benedict
Ralph HB Benedict

11 May 2020 in Journal of Neuroimaging
Verified
Journal Article
Closed access
PDF file
TFTom A. Fuchs
Tom A. Fuchs
SZStefano Ziccardi
Stefano Ziccardi
RBRalph H. B. Benedict
Ralph H. B. Benedict
ABAlexander Bartnik
Alexander Bartnik
AKAmy Kuceyeski
Amy Kuceyeski
MDMichael G. Dwyer
Michael G. Dwyer

19 February 2023 in European Journal of Neurology
Verified
Journal Article
Open access
SZStefano Ziccardi
Stefano Ziccardi
APAnna Isabella Pisani
Anna Isabella Pisani
GSGian Marco Schiavi
Gian Marco Schiavi
MGMaddalena Guandalini
Maddalena Guandalini
FCFrancesco Crescenzo
Francesco Crescenzo
Massimiliano CalabreseMassimiliano Calabrese
Massimiliano Calabrese
Background and purpose: Although cognitive impairment (CI) is frequent in multiple sclerosis (MS) patients, few studies (and with conflicting results) have evaluated early predictors of CI in the long term. We aimed at determining associations between early clinical/neuroradiological variables with reference to CI after 20 years of MS.Methods: We investigated in 170 MS patients the relationship between clinical/magnetic resonance imaging (MRI) data at diagnosis and cognitive status almost 20 years after MS onset. Among others, number and volume of both white matter lesions (WMLs) and cortical lesions (CLs) were evaluated at diagnosis and after 2 years. All MS patients were followed over time and underwent a comprehensive neuropsychological assessment at the end of study. Advanced statistical methods (unsupervised cluster analysis and random forest model) were conducted.Results: CI patients showed higher focal cortical pathology at diagnosis compared to cognitively normal subjects (p < 0.001). Volumes of both WMLs and CLs emerged as the MRI metrics most associated with long‐term CI. Moreover, number of CLs (especially ≥3) was also strongly associated with long‐term CI (≥3 CLs: odds ratio [OR] = 3.7, 95% confidence interval = 1.8–7.5, p < 0.001), more than number of WMLs; the optimal cutoff of three CLs (area under the curve = 0.67, specificity = 75%, sensitivity = 55%) was estimated according to the risk of developing CI.Conclusions: These results highlight the impact of considering both white and gray matter focal damage from early MS stages. Given the low predictive value of WML number and the poor clinical applicability of lesion volume estimation in the daily clinical context, the evaluation of number of CLs could represent a reliable prognostic marker of CI.

13 November 2019 in Brain Sciences
Verified
Journal Article
Open access
PDF file
Marco PitteriMarco Pitteri
Marco Pitteri
SZStefano Ziccardi
Stefano Ziccardi
CDCaterina Dapor
Caterina Dapor
MGMaddalena Guandalini
Maddalena Guandalini
Massimiliano CalabreseMassimiliano Calabrese
Massimiliano Calabrese
Cognitive functioning in multiple sclerosis (MS) patients is usually related to the classic, dichotomic classification of impaired vs. unimpaired cognition. However, this approach is far from mirroring the real efficiency of cognitive functioning. Applying a different approach in which cognitive functioning is considered as a continuous variable, we aimed at showing that even newly diagnosed relapsing–remitting MS (RRMS) patients might suffer from reduced cognitive functioning with respect to a matched group of neurologically healthy controls (HCs), even if they were classified as having no cognitive impairment (CI). Fifty newly diagnosed RRMS patients and 36 HCs were tested with an extensive battery of neuropsychological tests. By using Z-scores applied to the whole group of RRMS and HCs together, a measure of cognitive functioning (Z-score index) was calculated. Among the 50 RRMS patients tested, 36 were classified as cognitively normal (CN). Even though classified as CN, RRMS patients performed worse than HCs at a global level (p = 0.004) and, more specifically, in the domains of memory (p = 0.005) and executive functioning (p = 0.006). These results highlight that reduced cognitive functioning can be present early in the disease course, even in patients without an evident CI. The current classification criteria of CI in MS should be considered with caution.