Fibromyalgia: one year in review 2022.

Fibromyalgia syndrome (FM) is a chronic widespread pain syndrome characterised by fatigue, sleep disturbances and many idiopathic pain symptoms. The aim of this review is to describe and summarise the most recent findings concerning the diagnosis, aetiopathogenesis and treatment of fibromyalgia syndrome published between January 2021 and January 2022 and appearing on PubMed database. In particular, last year's literature focused on the impact of COVID-19 pandemic on FM patients, on new aetiopathogenetic horizons and the last conclusions about pharmacological and non-pharmacological interventions.

The effect of novel coronavirus disease-2019 (COVID-19) on fibromyalgia syndrome.

OBJECTIVES: Fibromyalgia syndrome (FM) is a complex disease that is mainly characterised by chronic widespread pain, fatigue and sleep disturbances and may be precipitated or worsened by many stressors. The aim of this study was to observe the behaviour of FM symptoms during the course of coronavirus disease 2019 (COVID-19). METHODS: Patients who had been diagnosed as having FM for ≥3 months were recruited between February and May 2020. The collected data were age, sex, educational level and marital status; height and weight; and the scores of the revised Fibromyalgia Impact Questionnaire (FIQR), the modified Fibromyalgia Assessment Status 2019 (FASmod), and the Polysymptomatic Distress Scale (PDS). The patients were divided into those with or without concomitant COVID-19 infection. RESULTS: Eight hundred and ninety-seven (93%) of the 965 patients (881 women [91.3%] and 84 men [8.7%]) were followed up on an outpatient basis because of FM and 68 (7.0%) were either followed up as out-patients or hospitalised because of COVID-19. There was no difference in the sociodemographic data of the two groups, but there were statistically significant between-group differences in the results of the clinimetric tests. The major differences between the score of the items (those with the greatest disease impact) were the following related symptoms: sleep quality (FIQR15), fatigue/energy (FIQR13), pain (FIQR12), stiffness (FIQR14). CONCLUSIONS: The mean total and subdomain scores of all the tests were significantly higher in the patients with COVID-19, which suggests that global FM symptoms are more severe in patients with infection. Further studies of the post-COVID19 patients are being carried out in order to discover whether the worsened symptomatology continues because of their hypersensitised state.

Vaccination against SARS-CoV-2 in patients with rheumatic diseases: doubts and perspectives.

Since January 2020, the whole world has been facing the worst epidemic for a century. SARS-CoV- 2 infection has so far caused more than one million deaths, with the only measures capable of containing the spread of the virus being social distancing, frequent hand washing, and the wearing of masks. Vaccine development was urgently needed and there are now more than 90 candidate vaccines being developed using different technologies. The European Medicines Agency has recently approved a second mRNA-based vaccine, but the introduction of vaccines has raised some doubts about patients with rheumatic disease, who are at high risk of infection because of disease activity and the therapies used to treat it. The aim of this study was to investigate how vaccines may interact with the immune system and treatment of such patients, and how to monitor the post-vaccine antibody titres and T cell responses in order to assess their efficacy and safety.

Predicting Severe/Critical Outcomes in Patients With SARS-CoV2 Pneumonia: Development of the prediCtion seveRe/crItical ouTcome in COVID-19 (CRITIC) Model.

Objective: To create a prediction model of the risk of severe/critical disease in patients with Coronavirus disease (COVID-19). Methods: Clinical, laboratory, and lung computed tomography (CT) severity score were collected from patients admitted for COVID-19 pneumonia and considered as independent variables for the risk of severe/critical disease in a logistic regression analysis. The discriminative properties of the variables were analyzed through the area under the receiver operating characteristic curve analysis and included in a prediction model based on Fagan's nomogram to calculate the post-test probability of severe/critical disease. All analyses were conducted using Medcalc (version 19.0, MedCalc Software, Ostend, Belgium). Results: One hundred seventy-one patients with COVID-19 pneumonia, including 37 severe/critical cases (21.6%) and 134 mild/moderate cases were evaluated. Among all the analyzed variables, Charlson Comorbidity Index (CCI) was that with the highest relative importance (p = 0.0001), followed by CT severity score (p = 0.0002), and age (p = 0.0009). The optimal cut-off points for the predictive variables resulted: 3 for CCI [sensitivity 83.8%, specificity 69.6%, positive likelihood ratio (+LR) 2.76], 69.9 for age (sensitivity 94.6%, specificity 68.1, +LR 2.97), and 53 for CT severity score (sensitivity 64.9%, specificity 84.4%, +LR 4.17). Conclusion: The nomogram including CCI, age, and CT severity score, may be used to stratify patients with COVID-19 pneumonia.

Lower incidence of COVID-19 in patients with inflammatory bowel disease treated with non-gut selective biologic therapy.

BACKGROUND AND AIM: Since the outbreak of COVID-19, concerns have been raised as to whether inflammatory bowel disease (IBD) patients under biologic therapy may be more susceptible to the disease. This study aimed to determine the incidence and outcomes of COVID-19 in a large cohort of IBD patients on biologic therapy. METHODS: This observational retrospective multicenter study collected data about COVID-19 in IBD patients on biologic therapy in Italy, between February and May 2020. The main end-points were (i) to assess both the cumulative incidence and clinical outcome of COVID-19, according to different biologic agents and (ii) to compare them with the general population and a cohort IBD patients undergoing non-biologic therapies. RESULTS: Among 1816 IBD patients, the cumulative incidence of COVID-19 was 3.9 per 1000 (7/1816) with a 57% hospitalization rate and a 29% case-fatality rate. The class of biologic agents was the only risk factor of developing COVID-19 (P = 0.01). Non-gut selective agents were associated with a lower incidence of COVID-19 cases, related symptoms, and hospitalization (P < 0.05). Compared with the general population of Lombardy, an overall lower incidence of COVID-19 was observed (3.9 vs 8.5 per 1000, P = 0.03). Compared with 565 IBD patients on non-biologic therapies, a lower rate of COVID-19 symptoms was observed in our cohort (7.5% vs 18%, P < 0.001). CONCLUSIONS: Compared with the general population, IBD patients on biologic therapy are not exposed to a higher risk of COVID-19. Non-gut selective agents are associated with a lower incidence of symptomatic disease, supporting the decision of maintaining the ongoing treatment.

QT Interval Monitoring and Drugs Management During COVID-19 Pandemic.

While facing potentially high morbidity from COVID-19 without known effective therapies, the off-label use of several non-specific drugs has been advocated, including re-purposed anti- viral (e.g., remdesivir or the lopinavir/ritonavir combination), biologic agents (e.g., tocilizumab), and antimalarial drugs such as chloroquine and hydroxychloroquine, in association with or without azithromycin. Data regarding the effectiveness of these drugs in treating COVID-19 has been shown in some trials and clinical settings, but further randomised controlled trials are still being carried out. One of the main concerns regarding their widespread use, however, is their possible effects on the QT interval and arrhythmogenic potential. Some of these drugs have been associated with QT prolongation and Torsades de Point, a potentially lethal ventricular arrhythmia. The review aims to highlight the magnitude of this problem, to quickly refresh clinically impacting cornerstones of QT interval and TdP pathophysiology, to summarize the available evidence regarding the QT and arrhythmia impact of drugs used in different clinical settings in COVID-19 patients, and to help the physicians dealing with the knowledge needed in the everyday clinical duties in case of doubts regarding QT-induced arrhythmias in this time of emergency.

The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia.

The chest computed tomography (CT) characteristics of coronavirus disease 2019 (COVID-19) are important for diagnostic and prognostic purposes. The aim of this study was to investigate chest CT findings in COVID-19 patients in order to determine the optimal cut-off value of a CT severity score that can be considered a potential prognostic indicator of a severe/critical outcome.The CT findings were evaluated by means of a severity score that included the extent (0-4 grading scale) and nature (0-4 grading scale) of CT abnormalities. The images were evaluated at 3 levels bilaterally. A receiver operating characteristics (ROC) curve was used to identify the optimal score (Youden's index) predicting severe/critical COVID-19.The study involved 165 COVID-19 patients (131 men [79.4%] and 34 women [20.6%] with a mean age of 61.5 ±â€Š12.5 years), of whom 30 (18.2%) had severe/critical disease and 135 (81.8%) mild/typical disease. The most frequent CT finding was bilateral predominantly subpleural and basilar airspace changes, with more extensive ground-glass opacities than consolidation. CT findings of consolidation, a crazy-paving pattern, linear opacities, air bronchogram, and extrapulmonary lesions correlated with severe/critical COVID-19. The mean CT severity score was 63.95 in the severe/critical group, and 35.62 in the mild/typical group (P < .001). ROC curve analysis showed that a CT severity score of 38 predicted the development of severe/critical symptoms.A CT severity score can help the risk stratification of COVID-19 patients.

COVID-19, cytokines and immunosuppression: what can we learn from severe acute respiratory syndrome?

A severe outbreak of coronavirus disease 2019 (COVID-19) emerged in China in December 2019, and spread so rapidly that more than 200,000 cases have so far been reported worldwide; on January 30, 2020, the WHO declared it the sixth public health emergency of international concern. The two previously reported coronavirus epidemics (severe acute respiratory syndrome [SARS] and Middle East respiratory syndrome [MERS]) share similar pathogenetic, epidemiological and clinical features as COVID-19. As little is currently known about SARS-CoV-2, it is likely that lessons learned from these major epidemics can be applied to the new pandemic, including the use of novel immunosuppressive drugs.

Prevalence of COVID infections in a population of rheumatic patients from Lombardy and Marche treated with biological drugs or small molecules: A multicentre retrospective study.

OBJECTIVE: The COVID-19 pandemic has raised questions about the management of systemic immunosuppressive treatments for rheumatic conditions. It is well known that rheumatic patients are at risk of developing infections because of their immunocompromised state. Moreover, drugs such as hydroxychloroquine or tocilizumab that are widely used to treat rheumatic diseases are now being used to treat COVID-19. The aim of this multicentre retrospective study of rheumatic patients in the Italian regions of Lombardy and Marche was to determine whether patients receiving biological or small molecules treatment are more susceptible to the development of COVID-19 than the general population. METHODS: The local registry data of 10,260 rheumatic patients being treated with bDMARDs or small molecules were evaluated from 15 March to 23 April 2020. The final analysis was based on the registry data relating to 7.204, telephone contacts and/or outpatient visits. RESULTS: Forty-seven of the 7.204 patients were diagnosed with COVID-19, seven of whom died; the patients who had symptoms resembling those of COVID-19 but had negative swabs were considered negative for the disease. The overall infection rate was 0.65, and the crude case fatality risk (CFR) in the patients with COVID-19 was 14.9%. There was no difference in the mortality rate among the patients receiving the different individual biological drugs or small molecules. CONCLUSIONS: Our findings suggest that the susceptibility of rheumatic patients to COVID-19 is the same as that of the general population, but confirm that age, disease duration, and the number of co-morbidities are associated with an increased risk of a severe form of the disease. It seems that immunosuppressants drugs do not effectively represent a risk factor for COVID- 19.

Chest CT features of coronavirus disease 2019 (COVID-19) pneumonia: key points for radiologists.

COVID-19 is an emerging infection caused by a novel coronavirus that is moving so rapidly that on 30 January 2020 the World Health Organization declared the outbreak a Public Health Emergency of International Concern and on 11 March 2020 as a pandemic. An early diagnosis of COVID-19 is crucial for disease treatment and control of the disease spread. Real-time reverse-transcription polymerase chain reaction (RT-PCR) demonstrated a low sensibility; therefore chest computed tomography (CT) plays a pivotal role not only in the early detection and diagnosis, especially for false negative RT-PCR tests, but also in monitoring the clinical course and in evaluating the disease severity. This paper reports the CT findings with some hints on the temporal changes over the course of the disease: the CT hallmarks of COVID-19 are bilateral distribution of ground glass opacities with or without consolidation in the posterior and peripheral lung, but the predominant findings in later phases include consolidations, linear opacities, "crazy-paving" pattern, "reversed halo" sign and vascular enlargement. The CT findings of COVID-19 overlap with the CT findings of other diseases, in particular the viral pneumonia including influenza viruses, parainfluenza virus, adenovirus, respiratory syncytial virus, rhinovirus, human metapneumovirus, etc. There are differences as well as similarities in the CT features of COVID-19 compared with those of the severe acute respiratory syndrome. The aim of this article is to review the typical and atypical CT findings in COVID-19 patients in order to help radiologists and clinicians to become more familiar with the disease.