Author Of 4 Presentations
LB1169 - Psychological consequences of COVID-19 pandemic in Italian MS patients: a surprising resilience (ID 1668)
Abstract
Background
Italy was strongly hit by COVID-19 pandemic, therefore the Italian Government decreed urgent measures promoting social distancing in order to limit the spread of the virus. In fact, since March 11th, all not indispensable work, social, sporting, retail and recreational activities were suspended or, where possible, converted to the so-called smart-working. Fear of getting sick from COVID-19, government’s lockdown and the imposed social distancing might have an impact on anxiety, depression and quality of life (QoL) in people with Multiple Sclerosis (pwMS).
Objectives
The aim of our study was to investigate anxiety, depression and QoL changes in pwMS during SARS-CoV-2 outbreak and lockdown in Italy.
Methods
Sixty-seven pwMS with a previous (less than 6 months) neuropsychological evaluation before SARS-CoV-2 outbreak (T0) were re-evaluated at the time of the outbreak and lockdown in Italy (T1). They underwent a clinical and neurological evaluation (at T0) and completed the State-Trait Anxiety Inventory (STAI-Y1), the Beck Depression Inventory second edition (BDI-II), and Multiple Sclerosis Quality of Life-54 (MsQoL-54) at T0 and T1. Bonferroni correction for multiple comparisons was applied.
Results
BDI-II and STAI-Y1 scores did not change between T0 and T1, whereas the satisfaction on sexual function subscale of MsQoL-54 was significantly higher at T1 (p<0.001).
Conclusions
Despite the tight Italian lockdown due to the COVID-19 pandemic and the fear of getting sick, we did not observe a relevant negative impact on anxiety, depression and QoL of our sample of pwMS. Contrariwise, we were even able to detect some positive effects on specific aspects of QoL, such as sexual satisfaction.
P0544 - Atrophy of different cortical and subcortical compartments contributes to explain clinical disability in patients with MS: a multicenter study (ID 1082)
Abstract
Background
In MS, neurodegenerative processes involve several cortical and subcortical structures of the central nervous system.
Objectives
To perform a multiparametric assessment of cortical, deep grey matter (DGM), cerebellar and cervical cord atrophy to characterize MS phenotypes and to explain patients’ disability.
Methods
3T brain and cervical cord T2- and 3D T1-weigthed images were acquired from 198 MS patients (139 relapsing-remitting [RR] MS, 59 progressive [P] MS) and 67 healthy controls (HC) at three European sites. Cortical thickness (CTh), DGM volumes, cerebellar volumes and cervical cord cross-sectional area (CSA) were compared between MS patients and HC and across clinical phenotypes. In patients, sex-, age-, and site-corrected stepwise linear regression models investigated the association of brain and cord lesion burden and cortical, DGM, cerebellar and cervical cord atrophy with clinical disability.
Results
Compared to HC, MS patients had widespread atrophy in all cortical lobes, DGM nuclei and cerebellar lobules, as well as reduced cord CSA. Similar results were observed in RRMS patients vs HC, except for the left superior parietal lobule and left frontal pole (p=range from <0.001 to 0.04). In PMS patients, additional cortical atrophy vs RRMS was identified in all investigated lobes (p=range from <0.001 to 0.03), except for selected cingulate, parietal and occipital regions. At the univariate analysis, in MS patients higher disability was associated with more severe cortical, DGM, cerebellar and cervical cord atrophy (p=range<0.00-0.047). The multivariate model retained cerebellar and cervical cord atrophy as significant predictors of higher EDSS score (R2=0.45, p<0.001) as well as of pyramidal (R2=0.42, p<0.001), sensory (R2=0.28, p<0.001) and cerebellar (R2=0.50, p<0.001) functional system scores.
Conclusions
Abnormalities of regional CTh, DGM volume, volume of the cerebellar lobules and cervical cord CSA characterized the main MS clinical phenotypes. Atrophy within the cerebellum and cervical cord was crucial for explaining clinical disability, mainly within sensorimotor domains.
P0557 - Characterizing 1-year development of cervical cord atrophy across different MS phenotypes: a voxel-wise, multicenter analysis (ID 1115)
Abstract
Background
In multiple sclerosis (MS) the cervical spinal cord is often affected by demyelination and neuro-axonal injury, leading to irreversible tissue loss.
Objectives
To use voxel-wise analysis to evaluate the distribution and changes over time of cervical cord atrophy in MS patients from a multicentre dataset acquired at 7 European sites.
Methods
Baseline and 1-year 3D T1-weighted cervical cord scans and clinical evaluation were obtained from 54 healthy controls (HC) and 110 MS patients (13 clinically isolated syndromes [CIS], 75 relapsing-remitting [RR] and 22 progressive [P]MS). A pipeline optimized for longitudinal analysis was used to co-register baseline and 1-year follow-up cervical cord scans to a cord template, obtained by averaging straightened HC images from all centers. Voxel-wise differences of cervical cord atrophy, their longitudinal changes and correlations with clinical variables were assessed using SPM12 and full factorial models (sex-, age-, center- and total cord volume-corrected).
Results
Compared to HC, MS patients exhibited significant (p<0.05, family-wise error [FWE] corrected) baseline cervical cord atrophy, mainly located in anterior, posterior and lateral cord regions at C1/C2, as well as in posterior regions between C4 and C6. While CIS patients showed a slight cord tissue expansion vs HC at posterior C4, RRMS presented significant clusters of cord atrophy vs CIS, mostly in lateral and posterior C2-C4 regions, and PMS showed widespread cord atrophy vs RRMS patients at C4-C5 and C7 levels. During the follow-up, a significant progression (p<0.05, FWE) of cord atrophy was detected in MS patients, predominantly in the posterior and lateral cord at C2, and between C4 and C6. Such pattern of cord atrophy progression was mainly driven by RRMS patients, while CIS patients did not show cord tissue loss at follow-up vs baseline, and PMS patients showed circumscribed tissue loss in posterior regions at C2 and C6. A strong relationship (p<0.05, FWE) was found between baseline clinical disability and baseline cord atrophy in the posterior and lateral cord at C2-C4. Also, baseline atrophy in the lateral cord at C3-C4 correlated with clinical disability at 1-year follow-up.
Conclusions
Voxel-wise analysis of cervical atrophy allowed to detect a differential involvement of cord levels and to characterize 1-year evolution of tissue loss across phenotypes. Cord atrophy was clinically relevant and contributed to explain follow-up clinical disability.
P0650 - The contribution of cortical lesions to fatigue and depression in relapsing remitting multiple sclerosis. (ID 1163)
Abstract
Background
Despite the high prevalence and debilitating nature of fatigue and depression in Relapsing-Remitting Multiple Sclerosis (RRMS), the underlying pathophysiology is still far from being fully understood. While several findings highlighted the contribution of white matter lesion load (WMLL) and brain atrophy, the role of cortical lesions (CL) has been only marginally assessed.
Objectives
To investigate: i) the contribution of CL volume to fatigue and depression; ii) the relative role of total CL volume (tCLV), intracortical lesion volume (ICLV) and juxtacortical lesion volume (JCLV).
Methods
Sixty-five RRMS patients underwent: i) clinical evaluation including the Expanded Disability Status Scale (EDSS), ii) assessment of fatigue and depression trough the Modified Fatigue Impact Scale (MFIS) and the Beck Depression Inventory (BDI), iii) a 3T–MRI protocol including Double-Echo (DE) and 3D–Double Inversion Recovery (DIR) imaging to identify WMLL and CL. Correlation analyses were run between WMLL, CL and MFIS, and BDI. A multiple linear regression model was applied to evaluate the contribution of CL to MFIS and BDI, controlling for clinico-demographic data and WMLL.
Results
The correlation analysis showed that tCLV and JCLV correlated with MFIS (rho= 0.31, p=0.007; rho= 0.28, p=0.01 rispectively) and BDI (rho= 0.24, p=0.03 and rho= 0.23, p=0.04, rispectively), while ICLV or WMLL did not correlate with neither MFIS nor BDI. Regression analysis did not reveal any CL volume as a significant predictor of fatigue or depression.
Conclusions
Although CL volume is not a significant independent predictor of fatigue and depression, our study shows a significant role of CL volume in determining these symptoms in RRMS.