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1.
BMC Infect Dis ; 23(1): 197, 2023 Mar 31.
Article in English | MEDLINE | ID: mdl-37003990

ABSTRACT

BACKGROUND: Shortly after the Coronavirus disease 2019 (COVID-19) pandemic, a considerable number of recovered patients reported persisting symptoms, especially neuropsychological manifestations, which were later named post-COVID syndrome (PCS). Immune dysregulation was suggested as one of the main mechanisms for PCS. Fluvoxamine, a selective serotonin reuptake inhibitor (SSRI) that is mostly used to treat depression, anxiety disorders, and obsessive-compulsive disorder, has been suggested as an anti-COVID drug due to its anti-inflammatory effects, mainly through the sigma-1 receptor. Therefore, we aimed to evaluate fluvoxamine's effect on PCS neuropsychiatric symptoms. METHOD: In this double-blind randomized clinical trial, we included confirmed mild to moderate COVID-19 outpatients using polymerase chain reaction (PCR) by an infectious disease specialist. The presence of severe COVID-19 symptoms was evaluated by the infectious disease specialist and included dyspnea, SpO2 < 94% on room air, PaO2/FiO2 < 300 mm Hg, a respiratory rate > 30 breaths/min, and lung infiltrates > 50%. Then we performed permuted block randomization and assigned patients 1:1 into two groups to either receive fluvoxamine 100 mg tablet or a placebo daily for 10 days. Eligible patients were evaluated after 12 weeks for the presence of fatigue, as the primary, and other PCS symptoms as secondary outcomes. RESULTS: We screened a total of 486 patients from March to June 2022. After 12 weeks, 42 patients receiving fluvoxamine and 43 patients receiving Placebo were evaluated for PCS. Patients had a mean age of 38.5 ± 14.1 and 48% of them were women. Fatigue was significantly lower in the fluvoxamine group (p-value 0.026). No significant differences were observed in other symptoms. CONCLUSION: We concluded that taking fluvoxamine during active COVID-19 can reduce the chance of fatigue but the advantage of fluvoxamine was not observed for other symptoms. Further studies are necessary to confirm these preliminary results.


Subject(s)
COVID-19 , Communicable Diseases , Humans , Female , Young Adult , Adult , Middle Aged , Male , Fluvoxamine/therapeutic use , Fluvoxamine/pharmacology , COVID-19 Drug Treatment , Selective Serotonin Reuptake Inhibitors/therapeutic use , Communicable Diseases/drug therapy , Double-Blind Method , Treatment Outcome
2.
Med Clin (Engl Ed) ; 160(5): 187-192, 2023 Mar 10.
Article in English | MEDLINE | ID: mdl-36883067

ABSTRACT

Background: Multiple sclerosis (MS) is an immune-mediated disease that has been related to several risk factors such as various viral infections. We carried out this study in order to establish a relationship between COVID-19 infection and MS severity. Methods: In a case-control study, we recruited patients with relapsing-remitting multiple sclerosis (RRMS). Patients were divided into two groups based on positive COVID-19 PCR at the end of the enrollment phase. Each patient was prospectively followed for 12 months. Demographical, clinical, and past medical history were collected during routine clinical practice. Assessments were performed every six months; MRI was performed at enrollment and 12 months later. Results: Three hundred and sixty-two patients participated in this study. MS patients with COVID-19 infection had significantly higher increases in the number of MRI lesions (p: 0.019, OR(CI): 6.37(1.54-26.34)) and EDSS scores (p: 0.017), but no difference was found in total annual relapses or relapse rates. COVID-19 infections were positively correlated with EDSS progression (p: 0.02) and the number of new MRI lesions (p: 0.004) and predicted the likelihood of the number of new MRI lesions by an odds of 5.92 (p: 0.018). Conclusion: COVID-19 may lead to higher disability scores in the RRMS population and is associated with developing new Gd-enhancing lesions in MRI imaging. However, no difference was observed between the groups regarding the number of relapses during follow-up.


Antecedentes: La esclerosis múltiple (EM) es una enfermedad inmunomediada que se ha relacionado con varios factores de riesgo, como diversas infecciones virales. Realizamos este estudio para establecer una relación entre la infección por COVID-19 y la gravedad de la EM. Métodos: En un estudio de casos y controles, reclutamos pacientes con esclerosis múltiple remitente-recurrente (EMRR). Los pacientes se dividieron en dos grupos según la PCR positiva para COVID-19 al final de la fase de inscripción. Cada paciente fue seguido prospectivamente durante 12 meses. Los antecedentes demográficos, clínicos y médicos anteriores se recogieron durante la práctica clínica habitual. Las evaluaciones se realizaron cada 6 meses. La resonancia magnética se realizó en el momento de la inscripción y 12 meses después. Resultados: Trescientos sesenta y dos pacientes participaron en este estudio. Los pacientes con EM con infección por COVID-19 tuvieron aumentos significativamente más altos en el número de lesiones de resonancia magnética (p = 0,019; OR = 6,37 [IC 95%: 1,54-26,34]) y puntajes EDSS (p = 0,017), pero no se encontraron diferencias en el total de recaídas anuales o en las tasas de recaída. Las infecciones por COVID-19 se correlacionaron positivamente con la progresión de EDSS (p = 0,02) y la cantidad de nuevas lesiones en la resonancia magnética (p = 0,004) y predijeron la probabilidad de la cantidad de nuevas lesiones en la resonancia magnética con una probabilidad de 5,92 (p = 0,018). Conclusión: COVID-19 puede conducir a puntajes de discapacidad más altos en la población de EMRR y está asociado con el desarrollo de nuevas lesiones realzadas con Gd en imágenes de resonancia magnética. Sin embargo, no se observó diferencia entre los grupos en cuanto al número de recaídas durante el seguimiento.

3.
Med Clin (Barc) ; 160(5): 187-192, 2023 03 10.
Article in English, Spanish | MEDLINE | ID: mdl-36089420

ABSTRACT

BACKGROUND: Multiple sclerosis (MS) is an immune-mediated disease that has been related to several risk factors such as various viral infections. We carried out this study in order to establish a relationship between COVID-19 infection and MS severity. METHODS: In a case-control study, we recruited patients with relapsing-remitting multiple sclerosis (RRMS). Patients were divided into two groups based on positive COVID-19 PCR at the end of the enrollment phase. Each patient was prospectively followed for 12 months. Demographical, clinical, and past medical history were collected during routine clinical practice. Assessments were performed every six months; MRI was performed at enrollment and 12 months later. RESULTS: Three hundred and sixty-two patients participated in this study. MS patients with COVID-19 infection had significantly higher increases in the number of MRI lesions (p: 0.019, OR(CI): 6.37(1.54-26.34)) and EDSS scores (p: 0.017), but no difference was found in total annual relapses or relapse rates. COVID-19 infections were positively correlated with EDSS progression (p: 0.02) and the number of new MRI lesions (p: 0.004) and predicted the likelihood of the number of new MRI lesions by an odds of 5.92 (p: 0.018). CONCLUSION: COVID-19 may lead to higher disability scores in the RRMS population and is associated with developing new Gd-enhancing lesions in MRI imaging. However, no difference was observed between the groups regarding the number of relapses during follow-up.


Subject(s)
COVID-19 , Multiple Sclerosis, Relapsing-Remitting , Multiple Sclerosis , Humans , Multiple Sclerosis/diagnostic imaging , Case-Control Studies , COVID-19/diagnostic imaging , Multiple Sclerosis, Relapsing-Remitting/diagnostic imaging , Magnetic Resonance Imaging , Recurrence , Disease Progression
4.
J Child Neurol ; 35(7): 448-455, 2020 06.
Article in English | MEDLINE | ID: mdl-32156188

ABSTRACT

INTRODUCTION: Guillain-Barré syndrome is an immune-mediated peripheral neuropathy characterized by different clinical manifestations. We aimed to describe the clinical features, seasonal distribution, subtypes, and electrodiagnostic characteristics of Iranian children with Guillain-Barré syndrome. METHODS: In this prospective study, a total of 30 children with Guillain-Barré syndrome were evaluated. All demographic features were collected and electrodiagnostic study was assessed. RESULTS: Twelve participants were diagnosed with acute inflammatory demyelinating polyradiculoneuropathy and 18 patients were identified with acute motor axonal neuropathy. The initial findings showed that a significant number of patients (23 cases, P = .003) resided in rural areas. Our results showed a higher incidence of Guillain-Barré syndrome in summer and autumn months. No significant difference was observed between the seasonal distribution of acute inflammatory demyelinating polyradiculoneuropathy and acute motor axonal neuropathy subtypes. Antecedent history of pulmonary infections was recorded in 14 children with Guillain-Barré syndrome. Electrophysiological findings revealed a pattern of prolonged F wave latency with reduced persistency, absence of sensory nerve action potential, reduced compound muscle action potential amplitude, prolonged distal motor latency, reduced nerve conduction velocity, and abnormal temporal dispersion or conduction block in most patients with acute inflammatory demyelinating polyradiculoneuropathy. However, reduced compound muscle action potential amplitude, F wave with normal latency and reduced persistency, normal sensory nerve action potential amplitude, normal distal latency, normal sensory nerve conduction velocity, and conduction block or temporal dispersion were observed in most acute motor axonal neuropathy patients. CONCLUSION: The data support a correlation between Guillain-Barré syndrome incidence with seasonal variation and living area. Further studies should assess the Guillain-Barré syndrome features in pediatric population.


Subject(s)
Electrodiagnosis/methods , Guillain-Barre Syndrome/diagnosis , Guillain-Barre Syndrome/pathology , Child , Child, Preschool , Female , Humans , Iran , Male , Prospective Studies , Rural Population/statistics & numerical data , Seasons
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