Coronavirus disease 2019 in Latin American patients with multiple sclerosis

COVID-19 and the Nervous System from a Cuban Experience

Neuropsychiatric manifestations of viral infections (both per se and secondary to the neuroinflammatory reaction of the host) are mainly attributed to immunological reactions, so many aspects of their pathogenesis are still nuclear. Some novel therapeutic strategies are progressively emerging in which a vaccination may be having a particular impact on recovery and reduction of death. In this context, it is accepted that the SARS-CoV-2 virus is profoundly neurotropic and neuroinvasive, with various effects on the nervous system, although there is no complete understanding of the mechanism of neuroinvasion, brain injury, or short- or long-term neuropsychiatric sequelae. Therefore, it is necessary to understand the post-infectious manifestations of COVID-19 to guide the management of neuropsychiatric diseases. Thus, based on different research groups focused on this field, in this manuscript we summarize papers on COVID-19 and the nervous system (NS) published in a series of articles by Cuban authors. This review focuses on cognitive and affective emotional states, pathogenesis, biomarkers, clinical manifestations, and intervention strategies.

COVID-19 severity among patients with multiple sclerosis treated with cladribine: A systematic review and meta-analysis

BACKGROUND

The Coronavirus 19 pandemic has raised new relevant questions regarding the management of patients with multiple sclerosis (pwMS) treated with different immunosuppressive and immunomodulant drugs. In most COVID-19 outcomes analyses, due to the small available sample size, patients treated with cladribine were grouped with patients treated with other treatments.

METHODS

Three major databases (PubMed, Scopus and Web of Science) and the most recent MS congress libraries were searched for extracting original articles on COVID-19 and multiple sclerosis. The key inclusion criteria were the presence of data on pwMS treated with cladribine and with documented positivity for COVID-19. The quality of the included studies was evaluated using a modified version of the Dutch Cochrane center critical review checklist proposed by MOOSE. A common-effect meta-analysis was used for estimating the pooled proportion of patients with severe events (hospitalizations, pneumonia, ICU admissions and deaths) and heterogeneity was assessed by the I² statistic.

RESULTS

13 articles were included in the analysis and the median quality of the articles reached a level of 4. The selected studies included 5138 patients with COVID-19, of whom 107 (2.1%) were treated with cladribine. Pooled estimates of hospitalization and death were 9.36% and 0% for patients treated with cladribine, 14.98% and 2.66% for pwMS under other treatments.

CONCLUSION

These results indicate that pwMS treated with cladribine are not at a greater risk of developing a severe form of COVID-19.

REGISTRATION

The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO: CRD42022329464).

Signs and symptoms of Covid‐19 in patients with multiple sclerosis

Background and purpose

Clinical outcomes of multiple sclerosis (MS) patients affected by coronavirus disease 2019 (COVID‐19) have been thoroughly investigated, but a further analysis on main signs and symptoms and their risk factors still needs attention. The objective of this study was to group together and describe based on similarity the most common signs and symptoms of COVID‐19 in MS patients and identify all factors associated with their manifestation.

Method

Logistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number.

Results

From March 2020 to November 2021, data were collected from 1354 MS patients with confirmed infection of COVID‐19. Ageusia and anosmia was less frequent in older people (odds ratio [OR] 0.98; p = 0.005) and more in smoker patients (OR 1.39; p = 0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p = 0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p = 0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p = 0.008). Some disease‐modifying therapies were associated with greater frequencies of certain COVID‐19 symptoms (association between anti‐CD20 therapies and increment in the number of concomitant symptoms: OR 1.29; p = 0.05). Differences in frequencies between the three waves were found for flu‐like symptoms (G1, p = 0.024), joint or muscle pain (G2, p = 0.013) and ageusia and anosmia (G5, p < 0.001). All cases should be referred to variants up to Delta.

Conclusion

Several factors along with the choice of specific therapeutic approaches might have a different impact on the occurrence of some COVID‐19 symptoms.

COVID-19 infection and vaccination against COVID- 19: Impact on managing demyelinating CNS disorders in Southern India- Experience from a demyelinating disease registry

Background and objective

The impact of COVID-19 infection and the effect of COVID-19 vaccinations on patients with demyelinating central nervous system disease in low middle income countries (LMIC's) have not been reported in detail earlier. We sought to identify risk factors associated with COVID-19 infection and the role of vaccination in order to develop management guidelines relevant to our patients.

Methods

A total of 621 patients from our registry that included 297 MS and 324 non MS disorders (Aquaporin- 4 antibody positive [50], Myelin oligodendrocyte glycoprotein antibody positive [81], seronegative [162] and clinically isolated syndrome [31]) were contacted. COVID-19 infection and vaccination status were queried. Patients who self reported COVID-19 infection based on a positive RT PCR report were compared with non infected patients to identify factors associated with susceptibility for COVID-19 infection. Univariate and multivariate analysis of potential risk factors included demographic and clinical features, body mass index (BMI), presence of comorbidities, absolute lymphocyte count, treatment types and vaccination status.

Results

Sixty seven patients with MS and 27 with non MS disorders developed COVID-19 infection. Among them 81 patients had mild infection and remained quarantined at home. All 13 patients who needed hospitalization recovered. Vaccination status was known in 582 patients among whom 69.8% had completed or taken one dose of vaccine at the time of inquiry. Majority of treated patients (61.3%) were on nonspecific immunosuppressants. In univariate analysis, presence of ≥1 comorbidity was significantly associated with COVID-19 infection in both MS (p value 0.01, OR-2.28, 95%CI- 1.18–4.4) and non MS patients (p- 0.001, OR-4.4, 95% CI-1.88–10.24). In the latter, BMI ≥ 30 (p-0.04, OR-3.27, 95% CI- 0.98–10.87) and EDSS score ≥ 3 (p-0.02, OR- 2.59,95% CI- 1.08–6.23) were other significant associations. History of prior COVID-19 vaccination was associated with reduced frequency of COVID-19 infection among MS (p- 0.001,OR- 0.24,95% CI- 0.13–0.43) and non MS patients (p- 0.0001,OR-0.14, 95% CI- 0.058–0.35). In multivariate analysis presence of comorbidities significantly increased and prior vaccination significantly reduced frequency of COVID-19 infection for both MS and related disorders. Concurrent disease modifying treatments showed a trend for association with infection. In the unvaccinated group, patients on disease modifying treatment were significantly at risk of infection, 81.5% unvaccinated and treated versus 18.5% who were unvaccinated and untreated (p- 0.0001, OR-10.1, 95% CI-0.56–2.11).

Conclusion

Frequency and severity of COVID-19 infection was low among our patient cohort. Higher rate of infection in the treated group was significantly seen among unvaccinated patients. Our preliminary results suggests that in LMIC's, where “off label therapies” with inexpensive immunosuppressives are the main disease modifying drugs, mRNA vaccinations appear safe and effective against severe COVID-19 infection.

A multiparametric score for assessing the individual risk of severe Covid-19 among patients with Multiple Sclerosis

Background

Many risk factors for the development of severe forms of Covid-19 have been identified, some applying to the general population and others specific to Multiple Sclerosis (MS) patients. However, a score for quantifying the individual risk of severe Covid-19 in patients with MS is not available. The aim of this study was to construct such score and to evaluate its performance.

Methods

Data on patients with MS infected with Covid-19 in Italy, Turkey and South America were extracted from the Musc-19 platform. After imputation of missing values, data were separated into training data set (70%) and validation data set (30%). Univariable logistic regression models were performed in the training dataset to identify the main risk factors to be included in the multivariable logistic regression analyses. To select the most relevant variables we applied three different approaches: (1) multivariable stepwise, (2) Lasso regression, (3) Bayesian model averaging. Three scores were defined as the linear combination of the coefficients estimated in the models multiplied by the corresponding value of the variables and higher scores were associated to higher risk of severe Covid-19 course. The performances of the three scores were compared in the validation dataset based on the area under the ROC curve (AUC) and an optimal cut-off was calculated in the training dataset for the score with the best performance. The probability of showing a severe Covid-19 course was calculated based on the score with the best performance.

Results

3852 patients were included in the study (2696 in the training dataset and 1156 in the validation data set). 17% of the patients required hospitalization and risk factors for severe Covid-19 course were older age, male sex, living in Turkey or South America instead of living in Italy, presence of comorbidities, progressive MS, longer disease duration, higher Expanded Disability Status Scale, Methylprednisolone use and anti-CD20 treatment. The score with the best performance was the one derived using the Lasso selection approach (AUC= 0.72) and it was built with the following variables: age, sex, country, BMI, presence of comorbidities, EDSS, methylprednisolone use, treatment. An excel spreadsheet to calculate the score and the probability of severe Covid-19 is available at the following link: https://osf.io/ac47u/?view_only=691814d57b564a34b3596e4fcdcf8580.

Conclusions

The originality of this study consists in building a useful tool to quantify the individual risk for Covid-19 severity based on patient's characteristics. Due to the modest predictive ability and to the need of external validation, this tool is not ready for being fully used in clinical practice to make important decisions or interventions. However, it can be used as an additional instrument to identify high-risk patients and persuade them to take important measures to prevent Covid-19 infection (i.e. getting vaccinated against Covid-19, adhering to social distancing, and using of personal protection equipment).

Severe outcomes of COVID-19 among patients with multiple sclerosis under anti-CD-20 therapies: A systematic review and meta-analysis

Background

COVID-19 may spread through various ways ranging from asymptomatic to severe forms, until respiratory failure, critical conditions and death occurs. There is a particular concern for patients affected by multiple sclerosis, especially for those under disease-modifying treatments. Some studies have found an association between anti-CD20 therapies (especially rituximab) and severe COVID-19. However, results were not always clear and thus a systematic review was helpful.

Methods

A systematic literature search was performed independently by two authors on the main search tools considering as key inclusion criterion the presence of data on patients under ocrelizumab or rituximab positive to COVID-19. The quality of the included studies was evaluated based on a modified version of the Dutch Cochrane center critical review checklist proposed by MOOSE and in case of missing data an email was sent to the corresponding authors asking for missing information. After excluding case-reports, a random effects meta-analysis of proportions was conducted using the continuity correction and the I²statistic was calculated to measure heterogeneity.

Results

29 articles were included in the analysis and the median quality of the articles reached 4/5 after having integrated the additional details provided by the authors. The articles included 5173 patients, of whom 770 (14.8%) and 455 (8.8%) were, respectively, under ocrelizumab and rituximab. Pooled estimates of hospitalization, pneumonia and intensive care unit admission were 18.1%, 14.8% and 3.3%, respectively, while pooled estimate for death was 1.8% overall and 1.6% and 4.5%, respectively, for patients under ocrelizumab and rituximab.

Conclusion

Patients treated with rituximab seem to be at higher risk of severe COVID-19 outcomes compared to patients under other treatments.

Prevalence, severity, outcomes, and risk factors of COVID-19 in multiple sclerosis: An observational study in the Middle East

A cross-sectional hospital records-based study was conducted to evaluate the prevalence, severity, outcomes, and identify demographic and clinical risk factors of coronavirus disease (COVID-19) in patients with MS. The study was conducted at multiple clinics in Oman, Kuwait, and the United Arab Emirates (UAE) from March 2020 to February 2021. The association of patient demographics, MS disease characteristics, and use of disease-modifying therapies with outcomes of COVID-19 illness were evaluated using odds ratio. A total of 134 MS patients with COVID-19 (prevalence rate of 3.7%) having a median age of 35.5 years were analyzed in the study. A majority (126 [94.0%]) of patients had mild COVID-19 illness and 122 (91.0%) made a full recovery, while 1 (0.7%) patient died. The median EDSS score reported in the study was low (1.0). Univariate regression analysis showed high EDSS scores, progressive MS disease, and use of anti-CD20 therapy such as rituximab as risk factors for moderate to severe COVID-19 requiring hospitalization. Comorbidities were associated with a higher risk of non-recovery from COVID-19 in both univariate and multivariate analyses. Age, sex, smoking history, and duration of MS did not show a significant association with severity or adverse COVID-19 disease outcome. Identification of risk factors can aid in improving the treatment and monitoring of pwMS and COVID-19.

Design and Evaluation of a Smartphone Medical Guidance App for Outpatients of Large-Scale Medical Institutions: A Retrospective Observational Study

BACKGROUND

The greatest stressor for outpatients is the waiting time before an examination. If the patient is able to use their smartphone to check in with the reception, the patient can wait for their examination at any location, and the burden of waiting can be reduced.

OBJECTIVE

This study aimed to report the system design and post-introductory outcomes of the Tori RinRin (TR2) system that was developed to reduce outpatient burden imposed by wait times before examination.

METHODS

The TR2 system was introduced at Tottori University Hospital, a large medical facility that accepts a daily average of 1,500 outpatients. The system, which links the hospital's electronic medical record database with patients' mobile devices, has the following two functions: 1) GPS-based examination check-in processing and 2) sending appointment notification messages via a cloud notification service. In order to evaluate the usefulness of the TR2 system, we surveyed the utilization rate of the TR2 system among outpatient, implemented a user questionnaire and polling the average time required for patients to respond to call notifications about their turn.

RESULTS

The 3 months average of TR2 users 9 months after the TR 2 system introduction was 17.9% (81,066 of 14,536 patients). In an investigation of 363 subjects, the mean examination call message response time using the TR2 system was 31 seconds (median 14 seconds). Among 166 subjects who responded to a user survey, 86.7% (144 of 166 patients) said that the system help reduce the burden of waiting time.

CONCLUSIONS

The app allowed 17.9% of outpatients at a large medical facility to check in remotely and wait for examinations anywhere. Hence, it is effective in preventing the spread of infection, especially during pandemics such as the coronavirus disease. The app reported in this study is beneficial for large medical facilities striving to reduce outpatient burden imposed by wait times.

CLINICALTRIAL