[Evaluation of patients with long covid in the canarian population: study protocol.]

The current COVID-19 pandemic has generated a relevant changes in the normal development of human performance. Some changes detected in SARS-CoV-2 infected people have to do with possible effects of the infection in the bio-psycho-social sphere. The population in the Autonomous Community of the Canary Islands has not been oblivious to it and, therefore, a need demanded by society has roared. A multicentre observational study will be carried out to assess the physical and functional status of people from the Canary Islands who, after being infected with the SARS-CoV-2 virus, suffer sequelae that persist after twelve weeks of infection. With help from the Official Association of Physiotherapists of the Canary Islands a call will be made to the population. This association will oversee the dissemination of the information and will recruit among its members the collaborating/evaluating physiotherapists, also ensuring the protection and preservation of the data to be collected. People meeting the established criteria will be referred to the more accessible collaborating centre of the canarian community, where, after a preliminary interview, participating patients will self-complete scientifically validated questionnaires, and will be subjected to different validated tests to evaluate their physical and functional status. Patients will be individually informed of the results of their evaluation, and they will receive a dossier with individualized recommendations. After this evaluation, a follow-up of the participants for up to 6 months is anticipated. Data will be recorded, analysed, and interpreted, and the results will be disseminated through conventional means of communication to society and also by attempting publication in scientific journals.

Higher SARS-CoV-2 detection of oropharyngeal compared with nasopharyngeal or saliva specimen for molecular testing: a multicentre randomised comparative accuracy study.

BACKGROUND: Testing is critical for detecting SARS-CoV-2 infection, but the best sampling method remains unclear. OBJECTIVES: To determine whether nasopharyngeal swab (NPS), oropharyngeal swab (OPS) or saliva specimen collection has the highest detection rate for SARS-CoV-2 molecular testing. METHODS: We conducted a randomised clinical trial at two COVID-19 outpatient test centres where NPS, OPS and saliva specimens were collected by healthcare workers in different orders for reverse transcriptase PCR testing. The SARS-CoV-2 detection rate was calculated as the number positive by a specific sampling method divided by the number in which any of the three sampling methods was positive. As secondary outcomes, test-related discomfort was measured with an 11-point numeric scale and cost-effectiveness was calculated. RESULTS: Among 23 102 adults completing the trial, 381 (1.65%) were SARS-CoV-2 positive. The SARS-CoV-2 detection rate was higher for OPSs, 78.7% (95% CI 74.3 to 82.7), compared with NPSs, 72.7% (95% CI 67.9 to 77.1) (p=0.049) and compared with saliva sampling, 61.9% (95% CI 56.9 to 66.8) (p<0.001). The discomfort score was highest for NPSs, at 5.76 (SD, 2.52), followed by OPSs, at 3.16 (SD 3.16) and saliva samples, at 1.03 (SD 18.8), p<0.001 between all measurements. Saliva specimens were associated with the lowest cost, and the incremental costs per detected SARS-CoV-2 infection for NPSs and OPSs were US$3258 and US$1832, respectively. CONCLUSIONS: OPSs were associated with higher SARS-CoV-2 detection and lower test-related discomfort than NPSs for SARS-CoV-2 testing. Saliva sampling had the lowest SARS-CoV-2 detection but was the least costly strategy for mass testing. TRIAL REGISTRATION NUMBER: NCT04715607.

Wearable technology for health monitoring during pregnancy: an observational cross-sectional survey study.

PURPOSE: To evaluate how women of child-bearing age perceive the use of remote fetal ECG monitoring technologies. Telemedicine has advanced to the forefront of healthcare delivery, including maternal-fetal medicine. Smart wearable electrocardiogram (ECG) devices can enable pregnant women to monitor their health and that of their fetuses. Such technology would be a logical extension of the telemedicine ecosystem. METHODS: We conducted an observational cross-sectional study via online surveying in the United States. Study participants were recruited using the SurveyMonkey Audience Polling system and responded virtually. In all, the sample consisted of 507 women, aged 18-45 from 45 states, who are expecting to become pregnant in the next five years. Women were asked to identify their willingness to use a wearable ECG device the size of a patch-sized large band-aid on their abdomen. Ten binary or multiple-choice questions were used to gauge population interest and related demographics toward the usage of a wearable ECG device. RESULTS: Of the 507 participants, 461 (91%) women expressed an acceptance of wearable ECG technology throughout the pregnancy as a mechanism for increased frequency of monitoring of maternal and fetal health outside the hospital. 395 (78%) women demonstrated a willingness to wear devices day and night or at least during sleep and 213 (42%) of the women would spend up to $200 on such a device. CONCLUSION: Even though conducted prior to the COVID-19 pandemic, this study clearly indicates a high degree of readiness of prospective pregnant women for telemedicine with continuous health monitoring of the mother-fetus dyad.

Prevalence and duration of anti-SARS-CoV-2 antibodies in healthcare workers

Introduction. Knowledge of the seroprevalence and duration of antibodies against SARS-CoV-2 was needed in the early phases of the COVID-19 pandemic and is still necessary for policy makers and healthcare professionals. This information allows us to better understand the risk of reinfection in previously infected individuals. Methods. We investigated the prevalence and duration of detectable antibodies against SARS-CoV-2 in sequentially collected samples from 379 healthcare professionals. Results. SARS-CoV-2 seroprevalence at inclusion was 5.3% (95% confidence interval (CI): 3.3-8.0%) and 25% of seropositive participants reverted during follow-up. At the end of follow-up, the calculated probability of having detectable antibodies among former seropositive participants was 72.2% (95% CI: 54.2-96.2%). Conclusion. Antibodies against SARS-CoV-2 were detectable in a subset of infected individuals for a minimum of 39 weeks.

Use of a device-based remote management heart failure care pathway is associated with reduced hospitalization and improved patient outcomes: TriageHF Plus real-world evaluation

Background: Heart failure (HF) is a leading cause of hospital admission. However, prompt identification of worsening HF using implantable device data and proactive intervention may reduce hospitalizations. The validated TriageHF algorithm in enabled ICD/CRT devices uses sensor data to risk stratify patients for HF hospitalization in the next 30 days. TriageHF Plus is a novel device-based HF care pathway (DHFP) that uses high risk status as the trigger for remote intervention (see Figure 1 for pathway overview). Outcomes after DHFP implementation in a clinical setting have not been examined. Purpose(s): To evaluate the impact of TriageHF Plus clinical pathway on hospitalisation rates. Method(s): A prospective, multi-center evaluation comparing monthly hospitalization rates for patients enrolled in a DHFP with a concurrent standard of care (SoC) cohort and characterizing staffing resources necessary to implement the DHFP. The DHFP cohort received telephonic assessment and guideline-directed clinical care upon transition to high-risk status. Propensity scores (PS) were applied to DHFP and SoC cohorts to allow unbiased comparison. A negative binomial model was fitted to the monthly number of all-cause hospitalizations with treatment group (DHFP vs. SoC) as a covariate, using PS as weights. Result(s): Between 09/11/2019 and 06/24/2021, 758 patients were included in the study (443 DHFP, 315 SoC). Proportion CRT 76%/ 89% and LVEF <50% 78%/ 66% for DHFP/ SoC, respectively. 196 high risk transmissions prompted telephone assessment, with successful contact in 182;of which, 79 (43%) identified an explanatory acute medical issue. A secondary intervention was undertaken in 44/79 (56%). High risk transmissions took on average 19 minutes per clinical assessment (initial telephone triage and 30 day follow up). The rate of hospitalizations was 58% lower in the DHFP group, compared with SoC, after PS adjustment (IRR 0.42, 95% CI: 0.23, 0.76, p=0.004), see Figure 2. Sensitivity analyses showed Covid-19 had little effect on results. Conclusion(s): This is the first prospective, real-world evaluation of a device-based HF care pathway to report a reduction in hospitalizations and does so with minimal staffing time. Integrated into existing HF services, device-based remote monitoring of HF patients can improve outcomes. (Figure Presented) .

Use of a device-based remote management heart failure care pathway is associated with reduced hospitalization and improved patient outcomes: TriageHF Plus real-world evaluation

Background: Heart failure (HF) is a leading cause of hospital admission. However, prompt identification of worsening HF using implantable device data and proactive intervention may reduce hospitalizations.The validated TriageHF algorithm in enabled ICD/CRT devices uses sensor data to risk stratify patients for HF hospitalization in the next 30 days. TriageHF Plus is a novel device-based HF care pathway (DHFP) that uses "high” risk status as the trigger for remote intervention (see Figure 1 for pathway overview). Outcomes after DHFP implementation in a clinical setting have not been examined. Purpose: To evaluate the impact of TriageHF Plus clinical pathway on hospitalisation rates. Methods: A prospective, multi-center evaluation comparing monthly hospitalization rates for patients enrolled in a DHFP with a concurrent standard of care (SoC) cohort and characterizing staffing resources necessary to implement the DHFP. The DHFP cohort received telephonic assessment and guideline-directed clinical care upon transition to high-risk status. Propensity scores (PS) were applied to DHFP and SoC cohorts to allow unbiased comparison. A negative binomial model was fitted to the monthly number of all-cause hospitalizations with treatment group (DHFP vs. SoC) as a covariate, using PS as weights. Results: Between 09/11/2019 and 06/24/2021, 758 patients were included in the study (443 DHFP, 315 SoC). Proportion CRT 76%/ 89% and LVEF <50% 78%/ 66% for DHFP/ SoC, respectively.196 high risk transmissions prompted telephone assessment, with successful contact in 182;of which, 79 (43%) identified an explanatory acute medical issue. A secondary intervention was undertaken in 44/79 (56%). High risk transmissions took on average 19 minutes per clinical assessment (initial telephone triage and 30 day follow up). The rate of hospitalizations was 58% lower in the DHFP group, compared with SoC, after PS adjustment (IRR 0.42, 95% CI: 0.23, 0.76, p=0.004), see Figure 2. Sensitivity analyses showed Covid-19 had little effect on results. Conclusions: This is the first prospective, real-world evaluation of a device-based HF care pathway to report a reduction in hospitalizations and does so with minimal staffing time. Integrated into existing HF services, device-based remote monitoring of HF patients can improve outcomes. Funding Acknowledgement: Type of funding sources: Private company. Main funding source(s): MedtronicFigure 1. Pathway OverviewFigure 2. Outcomes

Nucleolin mediates SARS-CoV-2 replication and viral-induced apoptosis of host cells.

Host-oriented antiviral therapeutics are promising treatment options to combat COVID-19 and its emerging variants. However, relatively little is known about the cellular proteins hijacked by SARS-CoV-2 for its replication. Here we show that SARS-CoV-2 induces expression and cytoplasmic translocation of the nucleolar protein, nucleolin (NCL). NCL interacts with SARS-CoV-2 viral proteins and co-localizes with N-protein in the nucleolus and in stress granules. Knockdown of NCL decreases the stress granule component G3BP1, viral replication and improved survival of infected host cells. NCL mediates viral-induced apoptosis and stress response via p53. SARS-CoV-2 increases NCL expression and nucleolar size and number in lungs of infected hamsters. Inhibition of NCL with the aptamer AS-1411 decreases viral replication and apoptosis of infected cells. These results suggest nucleolin as a suitable target for anti-COVID therapies.

The SARS-CoV-2 spike protein binds and modulates estrogen receptors.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) protein binds angiotensin-converting enzyme 2 as its primary infection mechanism. Interactions between S and endogenous proteins occur after infection but are not well understood. We profiled binding of S against >9000 human proteins and found an interaction between S and human estrogen receptor α (ERα). Using bioinformatics, supercomputing, and experimental assays, we identified a highly conserved and functional nuclear receptor coregulator (NRC) LXD-like motif on the S2 subunit. In cultured cells, S DNA transfection increased ERα cytoplasmic accumulation, and S treatment induced ER-dependent biological effects. Non-invasive imaging in SARS-CoV-2-infected hamsters localized lung pathology with increased ERα lung levels. Postmortem lung experiments from infected hamsters and humans confirmed an increase in cytoplasmic ERα and its colocalization with S in alveolar macrophages. These findings describe the discovery of a S-ERα interaction, imply a role for S as an NRC, and advance knowledge of SARS-CoV-2 biology and coronavirus disease 2019 pathology.

Oral Presentation: Performance of an Artificial Intelligence System Tool for the Detection of ADRs from Patients' Reports During the Covid-19 Vaccination Campaign

Introduction: During the recent covid-19 vaccination campaign, the number of ICSRs reported by patients and professionals has dramatically increased, reaching up to almost 1 M declarations only in Europe (EMA numbers). To deal with such growing amount of data, Synapse Medicine-, in collaboration with The French National Agency for Medicines and Health Products Safety (ANSM), have developed an artificial intelligence (AI) tool, the Medication Shield, which, based on a natural language processing algorithm, is able to detect ADRs from patients' reports and to code them into an appropriate MedDRA preferred term (PT). Before the covid-19 pandemic, this system was successful in detecting ADRs from the patient reports declared through the French web national reporting system (1, 2). However, how it behaves in conditions of higher reporting flow rate is unknown at present. Objective(s): To evaluate the performance of the Medication Shield in detecting vaccine-related ADRs from patients' ICSRs declared across the covid-19 vaccination campaign. Method(s): A machine learning (ML) pipeline composed by a light Gradient Boosting Machine ensemble model was employed to detect and code covid-19 vaccine-related ADRs from patients' ICSRs declared through the web reporting system during the vaccination campaign (Jan 2021-Apr 2022). The encoding of regional pharmacovigilance centers was employed as the reference ground truth to train the algorithm in a supervised manner. Moreover, a panel of three pharmacologists, with significant experience in ADRs encoding, was set-up to perform a case-by-case analysis of 200 hundreds reports for which the algorithm provided improper encoding. Result(s): Overall, 65.191 ICSRs were extracted and used to train our ML algorithm. Of this, 54.987 were employed to validate the system. Importantly, almost 86% of the ICSRs were related to covid vaccines. Because the percentage of newly reported ADRs increased over time and was higher for vaccine than not-vaccine related reports, we split the training and validation sets in batches with similar ADRs distribution. Performance evaluation is currently under process. Initial feedbacks from the analysis performed by the experts are showing an uneven distribution of false positive and false negative across samples. Results from the other experts are needed to confirm this finding. Conclusion(s): The core findings of this study will be gathered in the forthcoming weeks and be ready for the ISoP meeting in September. This work will provide new insights about the effectiveness of deploying AI as a support to treat real world data in a context of sanitary crisis.

CARLoquium 2022

The Chiropractic Academy for Research Leadership (CARL) is an innovative program that provides mentorship, training, and leadership opportunities to the next generation of chiropractic researchers through an open application process. The first CARLoquium was launched by in 2021 by the CARL Fellows as a means to meet and disseminate research findings from the chiropractic community during the COVID-19 pandemic with the second CARLoquium held virtually in March 2022. To date, the conference has featured numerous keynote speakers, hundreds of s and continues to provide a cost-effective avenue for our researcher community to gather.

The economic crisis during the COVID-19 pandemic has a negative effect on tax compliance: Results from a scenario study in Austria.

In a scenario study with 1200 Austrian taxpayers, we examined how tax compliance is affected by the economic crisis related to the COVID-19 pandemic. Moreover, we investigated the potential of trust in government, attitude towards taxes, and justice perceptions in mitigating potential effects. The results suggest a strong effect of the economic environment on tax compliance. Specifically, tax compliance was lower in scenarios where the pandemic had a negative effect on the economy than in scenarios with no negative effect. However, for individuals with a positive attitude towards taxes, compliance was not lower in a negative economic environment than in pre-COVID-19 times. Moreover, we found that taxpayers who were not affected economically, taxpayers with a positive attitude towards taxes, and taxpayers with a low propensity to take risks generally indicated higher levels of tax compliance. Exploratory analyses indicate that taxpayers who change their compliance behavior in response to the economic environment are, on average, younger, less educated, more strongly affected economically, and more uncertain about their current economic situation than taxpayers with stable compliance levels. Policy interventions should target these groups to strengthen tax compliance in times of crisis.

Oral Presentation: Performance of an Artificial Intelligence System Tool for the Detection of ADRs from Patients' Reports During the Covid-19 Vaccination Campaign: An International Journal of Medical Toxicology and Drug Experience

Introduction: During the recent covid-19 vaccination campaign, the number of ICSRs reported by patients and professionals has dramatically increased, reaching up to almost 1 M declarations only in Europe (EMA numbers). To deal with such growing amount of data, Synapse Medicine®, in collaboration with The French National Agency for Medicines and Health Products Safety (ANSM), have developed an artificial intelligence (AI) tool, the Medication Shield, which, based on a natural language processing algorithm, is able to detect ADRs from patients' reports and to code them into an appropriate MedDRA preferred term (PT). Before the covid-19 pandemic, this system was successful in detecting ADRs from the patient reports declared through the French web national reporting system (1, 2). However, how it behaves in conditions of higher reporting flow rate is unknown at present. Objective: To evaluate the performance of the Medication Shield in detecting vaccine-related ADRs from patients' ICSRs declared across the covid-19 vaccination campaign. Methods: A machine learning (ML) pipeline composed by a light Gradient Boosting Machine ensemble model was employed to detect and code covid-19 vaccine-related ADRs from patients' ICSRs declared through the web reporting system during the vaccination campaign (Jan 2021-Apr 2022). The encoding of regional pharmacovigilance centers was employed as the reference ground truth to train the algorithm in a supervised manner. Moreover, a panel of three pharmacologists, with significant experience in ADRs encoding, was set-up to perform a case-by-case analysis of 200 hundreds reports for which the algorithm provided improper encoding. Results: Overall, 65.191 ICSRs were extracted and used to train our ML algorithm. Of this, 54.987 were employed to validate the system. Importantly, almost 86% of the ICSRs were related to covid vaccines. Because the percentage of newly reported ADRs increased over time and was higher for vaccine than not-vaccine related reports, we split the training and validation sets in batches with similar ADRs distribution. Performance evaluation is currently under process. Initial feedbacks from the analysis performed by the experts are showing an uneven distribution of false positive and false negative across samples. Results from the other experts are needed to confirm this finding. Conclusion: The core findings of this study will be gathered in the forthcoming weeks and be ready for the ISoP meeting in September. This work will provide new insights about the effectiveness of deploying AI as a support to treat real world data in a context of sanitary crisis.

Automated analysis of limited echocardiograms: Feasibility and relationship to outcomes in COVID-19.

Background: As automated echocardiographic analysis is increasingly utilized, continued evaluation within hospital settings is important to further understand its potential value. The importance of cardiac involvement in patients hospitalized with COVID-19 provides an opportunity to evaluate the feasibility and clinical relevance of automated analysis applied to limited echocardiograms. Methods: In this multisite US cohort, the feasibility of automated AI analysis was evaluated on 558 limited echocardiograms in patients hospitalized with COVID-19. Reliability of automated assessment of left ventricular (LV) volumes, ejection fraction (EF), and LV longitudinal strain (LS) was assessed against clinically obtained measures and echocardiographic findings. Automated measures were evaluated against patient outcomes using ROC analysis, survival modeling, and logistic regression for the outcomes of 30-day mortality and in-hospital sequelae. Results: Feasibility of automated analysis for both LVEF and LS was 87.5% (488/558 patients). AI analysis was performed with biplane method in 300 (61.5%) and single plane apical 4- or 2-chamber analysis in 136 (27.9%) and 52 (10.7%) studies, respectively. Clinical LVEF was assessed using visual estimation in 192 (39.3%), biplane in 163 (33.4%), and single plane or linear methods in 104 (21.2%) of the 488 studies; 29 (5.9%) studies did not have clinically reported LVEF. LV LS was clinically reported in 80 (16.4%). Consistency between automated and clinical values demonstrated Pearson's R, root mean square error (RMSE) and intraclass correlation coefficient (ICC) of 0.61, 11.3% and 0.72, respectively, for LVEF; 0.73, 3.9% and 0.74, respectively for LS; 0.76, 24.4ml and 0.87, respectively, for end-diastolic volume; and 0.82, 12.8 ml, and 0.91, respectively, for end-systolic volume. Abnormal automated measures of LVEF and LS were associated with LV wall motion abnormalities, left atrial enlargement, and right ventricular dysfunction. Automated analysis was associated with outcomes, including survival. Conclusion: Automated analysis was highly feasible on limited echocardiograms using abbreviated protocols, consistent with equivalent clinically obtained metrics, and associated with echocardiographic abnormalities and patient outcomes.

Responsible behavior in relations with third parties as a driver of business performance in times of economic crisis

Due to the significant contraction in economic activity and employment throughout the world caused by Covid-19, it is especially pertinent to continue advancing in the study of the effect that the implementation of socially responsible practices has on profitability. Thus, in this empirical research, carried out with a sample of 6,186 companies, it is intended to deepen the existing relationship between the effort made by the Spanish business fabric within the manufacturing sector in social responsibility policies and the results obtained in its financial indicators. For this, we focus on the relationships that the company maintains with its external stakeholders, the community, with human resources and policies related to quality management, and we analyze how they contribute to improving the company's economic profitability (ROA), using a dashboard of data. The results show that the implementation of collaboration policies to increase and improve relationships with suppliers, competitors and institutions has a significant positive effect on increasing ROA. However, collaboration with clients had a negative impact on ROA. In addition, the application of human resources practices aimed at improving relations with employees and the implementation of quality policies also have a positive and relevant impact on ROA © Universidade de Santiago de Compostela.

Changes in SpO2 on Room Air for 34 Severe COVID-19 Patients after Ivermectin-Based Combination Treatment: 62% Normalization within 24 Hours

The emergence of COVID-19 in March 2020 challenged Zimbabwe to respond with limited medical facilities and therapeutic options. Based on early clinical indications of efficacy for the macrocyclic lactone, Ivermectin (IVM), against COVID-19, IVM-based combination treatments were deployed to treat it. Oxygen saturation (SpO2) data were retrospectively analyzed for 34 severe, hypoxic COVID-19 patients all on room air (without supplemental oxygen). The patients, median age 56.5, were treated at clinics or at home between August 2020 and May 2021. All but three of these 34 patients had significantly increased SpO2 values within 24 h after the first IVM dose. The mean increase in SpO2 as a percentage of full normalization to SpO2 = 97 was 55.1% at +12 h and 62.3% at +24 h after the first IVM dose (paired t-test, p < 0.0000001). These results parallel similar sharp, rapid increases in SpO2, all on room air, for 24 mostly severe COVID-19 patients in the USA (California) who were given an IVM-based combination treatment. All patients in both of these critical series recovered. These rapid increases in SpO2 values after IVM treatment stand in sharp contrast to declines in SpO2 and associated pulmonary function through the second week following the onset of moderate or severe COVID-19 symptoms under standard care.

Prevalence and duration of anti-SARS-CoV-2 antibodies in healthcare workers

Introduction. Knowledge of the seroprevalence and duration of antibodies against SARS-CoV-2 was needed in the early phases of the COVID-19 pandemic and is still necessary for policy makers and healthcare professionals. This information allows us to better understand the risk of reinfection in previously infected individuals. Methods. We investigated the prevalence and duration of detectable antibodies against SARS-CoV-2 in sequentially collected samples from 379 healthcare professionals. Results. SARS-CoV-2 seroprevalence at inclusion was 5.3% (95% confidence interval (CI): 3.3-8.0%) and 25% of seropositive participants reverted during follow-up. At the end of follow-up, the calculated probability of having detectable antibodies among former seropositive participants was 72.2% (95% CI: 54.2-96.2%). Conclusion. Antibodies against SARS-CoV-2 were detectable in a subset of infected individuals for a minimum of 39 weeks.

Evaluation of the sense of smell and taste in patients with Neurofibromatosis Type 1

Objective The objective of this study was to determine if patients with Neurofibromatosis Type 1 (NF1) have an impaired sense of smell or taste. Neurofibromin, the NF1gene protein product is ubiquitous in the body and is especially associated with the development of neurogenetic structures. Lately enlarged olfactory bulbs have been described in patients with NF1. Until now, there is no study to evaluate the sense of smell and taste in patients with NF1. Method This study has been approved by the Hamburg Ethics committee. An evaluation of the sense of smell and taste was undertaken in 26 patients with NF1 using the Burghart Sniffin' Sticks. Three patients were excluded due to a prior infection with the Corona virus. As a control group the same examination was performed in healthy individuals (same sex/ same age as the NF1 patients) by the same examiner. Results Preliminary results show a normal sense of smell in patients with NF1. The morphologic finding of enlarged olfactory bulbs seem to have no functional equivalent. However, 8 out of 23 patients with NF1 had difficulties identifying at least one taste flavor. The data collection of the control group is still ongoing, thus far none of the study participants misidentified a taste flavor. A statistical significance is aimed at by increasing the case numbers.

Nursing care of patients with multiple sclerosis during the COVID-19 pandemic

Introduction: At the beginning of the SARS-CoV-2 pandemic, health centres were places where there was a high risk of infection, and during the period of lockdown face-to-face health care was substantially reduced, forcing rapid changes in the care of multiple sclerosis patients by the specialised nursing staff in the units and monographic consultations of this disease. Development: The experience of the nursing staff of multiple sclerosis units and monographic consultations, in 8 Spanish hospitals, is collected from the beginning of the pandemic and in later stages, and the adaptations that they made to continue caring for patients are specifically described. The scientific literature about how the SARS-CoV-2 has affected patients with multiple sclerosis is also reviewed, as well as the experiences of other multiple sclerosis teams in health centres in other countries. Conclusions: During the lockdown and in later stages, new forms and previously little used forms of care were applied to multiple sclerosis patients. The nursing staff kept contact with them by telephone and online, provided them with information about safety and behaviour in relation to COVID-19. Face-to-face visits, treatments and distribution of medication were adapted. Information was provided about how patients could receive psychosocial support and about how they could maintain their quality of life.