Post-COVID syndrome (PCS) is a medical condition characterized by the persistence of a wide range of symptoms after acute infection by SARS-CoV-2. The work capacity consequences of this disorder have scarcely been studied. We aimed to analyze the factors associated with occupational status in patients with PCS. This cross-sectional study involved 77 patients with PCS on active work before SARS-CoV-2 infection. Patients were evaluated 20.71 ± 6.50 months after clinical onset. We conducted a survey on occupational activity and cognitive and clinical symptoms. The association between occupational activity and fatigue, depression, anxiety, sleep quality, and cognitive testing was analyzed. Thirty-eight (49.4%) patients were working, and thirty-nine (50.6%) patients were not. Of those not working at the moment of the assessment, 36 (92.3%) patients were on sick leave. In 63 patients (81.8% of the sample), sick leave was needed at some point due to PCS. The mean duration of sick leave was 12.07 ± 8.07 months. According to the patient’s perspective, the most disabling symptoms were cognitive complaints (46.8%) and fatigue (31.2%). Not working at the moment of the assessment was associated with higher levels of fatigue and lower cognitive performance in the Stroop test. No association was found between occupational status with depression and anxiety questionnaires. Our study found an influence of PCS on work capacity. Fatigue and cognitive issues were the most frequent symptoms associated with loss of work capacity.

In recent decades, the elderly population has increased at higher rates than any other population group, resulting in an increase in age-related diseases such as neurodegenerative and cognitive impairment. To address this global health problem, it is necessary to search for new dietary strategies that can prevent the main neurocognitive problems associated with the ageing process. Therefore, the aim of the present study was to analyze the effect of cocoa flavanols and red berry anthocyanins on brain-derived neurotrophic factor (BDNF) and nerve growth factor receptor (NGF-R) and to stablish the possible improvement in cognitive performance by using a battery of neurocognitive tests that included the Verbal Learning Test Spain-Complutense, the Spatial Recall Test 10/36 BRB-N, the Wechsler Adult Intelligence Scale III and IV, the STROOP Task and the Tower of London Test. A randomized, double-blind, parallel-group study was performed in 60 healthy volunteers between 50 and 75 years old who consumed a cocoa powder, a red berries mixture or a combination of both for 12 weeks. After the intervention, we observed a reduction in the time needed to start (p = 0.031) and finish (p = 0.018) the neurocognitive test known as the Tower of London in all groups, but the decrease in time to finish the task was more pronounced in the intervention with the combination of cocoa-red berries group. We failed to show any significant difference in BDNF and NGF-R sera levels. However we found a negative correlation between BDNF and the number of movements required to finish the TOL in women (p = 0.044). In conclusion, our study showed an improvement in executive function, without any change in neurotrofin levels, for all intervention arms.

Fatigue is one of the most disabling symptoms in several neurological disorders and has an important cognitive component. However, the relationship between self-reported cognitive fatigue and objective cognitive assessment results remains elusive. Patients with post-COVID syndrome often report fatigue and cognitive issues several months after the acute infection. We aimed to develop predictive models of fatigue using neuropsychological assessments to evaluate the relationship between cognitive fatigue and objective neuropsychological assessment results. We conducted a cross-sectional study of 113 patients with post-COVID syndrome, assessing them with the Modified Fatigue Impact Scale (MFIS) and a comprehensive neuropsychological battery including standardized and computerized cognitive tests. Several machine learning algorithms were developed to predict MFIS scores (total score and cognitive fatigue score) based on neuropsychological test scores. MFIS showed moderate correlations only with the Stroop Color–Word Interference Test. Classification models obtained modest F1-scores for classification between fatigue and non-fatigued or between 3 or 4 degrees of fatigue severity. Regression models to estimate the MFIS score did not achieve adequate R² metrics. Our study did not find reliable neuropsychological predictors of cognitive fatigue in the post-COVID syndrome. This has important implications for the interpretation of fatigue and cognitive assessment. Specifically, MFIS cognitive domain could not properly capture actual cognitive fatigue. In addition, our findings suggest different pathophysiological mechanisms of fatigue and cognitive dysfunction in post-COVID syndrome.

Background/Objectives: Fatigue is a prevalent and debilitating symptom in Post-COVID Condition (PCC), fibromyalgia, and multiple sclerosis (MS). Although these conditions share clinical similarities, the underlying mechanisms of fatigue across these conditions may differ and remain poorly understood. This study aimed to compare the intensity and characteristics of fatigue in these three conditions to identify shared and distinct features. Methods: We conducted a cross-sectional study involving 429 participants: 219 with PCC, 112 with fibromyalgia, and 98 with MS. Participants completed a questionnaire specifically developed for the study via the Google Forms platform. This questionnaire was developed by a group of professionals in the hospital specializing in fatigue related to these three conditions, in collaboration with expert patients. The questionnaire was reported following the Checklist for Reporting Results of Internet E-Surveys (CHERRIES) recommendations. Results: Fatigue intensity was significantly higher in PCC and fibromyalgia compared to MS. Some differences in fatigue characteristics were observed: MS patients reported more fatigue in response to heat and a greater impact of mood on fatigue. Furthermore, delayed fatigue and reduced benefits from rest were more pronounced in both PCC and fibromyalgia. No significant differences were found regarding cognitive fatigue or difficulties in predicting the ability to perform activities. Conclusions: These results underscore some clinical characteristics in the intensity and quality of fatigue across PCC, fibromyalgia, and MS. These findings could suggest different mechanisms in the pathophysiology of the fatigue. Our study underscores the need for tailored diagnostic tools and interventions in managing fatigue in these three conditions.

Background: Radiologically isolated syndrome (RIS) is defined by MRI findings that are suggestive of multiple sclerosis (MS) in the absence of prior clinical demyelinating events. We aimed to compare the health-related quality of life (HRQoL) between RIS and relapsing–remitting MS (RRMS) after adjusting for fatigue, cognition, and psychological distress, and to contextualize generic HRQoL, relative to healthy controls. Methods: In this cross-sectional analysis of the baseline data, 30 RIS, 29 RRMS, and 30 healthy controls were analyzed. MS-specific HRQoL (patients only) was assessed with the Functional Assessment of Multiple Sclerosis (FAMS), and generic HRQoL (all participants) was assessed with the EuroQol-5D (EQ-5D) visual analogue scale and utility index. Multi-variable linear regression models with robust (HC3) standard errors were used, adjusting for demographics, fatigue impact, cognitive performance, and psychological distress. Results: The FAMS totals were similar in RIS vs. RRMS (median 167.5 vs. 164.0; p = 0.694) and remained non-different after adjustment (β= −2.37, 95% CI −10.18 to 5.44; p = 0.544). EQ-5D outcomes showed an unadjusted gradient across groups, but adjusted differences relative to RIS were not statistically significant. Greater fatigue impact was associated with poorer HRQoL across all models (all p < 0.001). Psychological distress was associated with lower FAMS (β = −14.53; p < 0.001) but not with EQ-5D outcomes. Conclusions: HRQoL in RIS was comparable to RRMS, and fatigue impact was the most consistent correlate of poorer HRQoL.

Background: Radiologically isolated syndrome (RIS) is defined by MRI findings suggestive of multiple sclerosis (MS) in the absence of prior clinical demyelinating events. We aimed to compare health-related quality of life (HRQoL) between RIS and relapsing–remitting MS (RRMS) after adjusting for fatigue, cognition, and psychological distress, and to contextualize generic HRQoL relative to healthy controls. Methods: Data from 30 RIS, 29 RRMS, and 30 healthy controls were analyzed. MS-specific HRQoL (patients only) was assessed with the Functional Assessment of Multiple Sclerosis (FAMS), and generic HRQoL (all participants) was assessed with the EuroQol-5D (EQ-5D) visual analogue scale and utility index. Multivariable linear regression with robust (HC3) standard errors adjusted for demographics, fatigue impact, cognitive performance, and psychological distress. Results: FAMS totals were similar in RIS vs RRMS (median 167.50 vs 164.0; p=0.694) and remained non-different after adjustment (β=−2.37, 95% CI −10.18 to 5.44; p=0.544). EQ-5D outcomes showed an unadjusted gradient across groups, but adjusted differences relative to RIS were not statistically significant. Greater fatigue impact was associated with poorer HRQoL across all models (all p < 0.001). Psychological distress was associated with lower FAMS (β = -14.53; p < 0.001) but not with EQ-5D outcomes. Conclusion: HRQoL in RIS was comparable to RRMS; fatigue impact was the most consistent correlate of poorer HRQoL.