Abstract:
Analysis and clinical determinants of post-COVID-19 syndrome in the Lombardy region: evidence from a longitudinal cohort study
Abstract:
Objective: To define macro symptoms of long COVID and to identify predictive factors, with the aim of preventing the development of the long COVID syndrome.
Design: A single-centre longitudinal prospective cohort study conducted from May 2020 to October 2022.
Setting: The study was conducted at Luigi Sacco University Hospital in Milan (Italy). In May 2020, we activated the ARCOVID (Ambulatorio Rivalutazione COVID) outpatient service for the follow-up of long COVID.
Participants: Hospitalised and non-hospitalised patients previously affected by COVID-19 were either referred by specialists or general practitioners or self-referred.
Intervention: During the first visit, a set of questions investigated the presence and the duration of 11 symptoms (palpitations, amnesia, headache, anxiety/panic, insomnia, loss of smell, loss of taste, dyspnoea, asthenia, myalgia and telogen effluvium). The follow-up has continued until the present time, by sending email questionnaires every 3 months to monitor symptoms and health-related quality of life.
Primary and secondary outcome measures: Measurement of synthetic scores (aggregation of symptoms based on occurrence and duration) that may reveal the presence of long COVID in different clinical macro symptoms. To this end, a mixed supervised and empirical strategy was adopted. Moreover, we aimed to identify predictive factors for post-COVID-19 macro symptoms.
Results: In the first and second waves of COVID-19, 575 and 793 patients (respectively) were enrolled. Three different post-COVID-19 macro symptoms (neurological, sensorial and physical) were identified. We found significant associations between post-COVID-19 symptoms and (1) the patients’ comorbidities, and (2) the medications used during the COVID-19 acute phase. ACE inhibitors (OR=2.039, 95% CI: 1.095 to 3.892), inhaled steroids (OR=4.08, 95% CI: 1.17 to 19.19) and COVID therapies were associated with increased incidence of the neurological macro symptoms. Age (OR=1.02, 95% CI: 1.01 to 1.04), COVID-19 severity (OR=0.42, 95% CI: 0.21 to 0.82), number of comorbidities (OR=1.22, 95% CI: 1.01 to 1.5), metabolic (OR=2.52, 95% CI: 1.25 to 5.27), pulmonary (OR=1.87, 95% CI: 1.10 to 3.32) and autoimmune diseases (OR=4.57, 95% CI: 1.57 to 19.41) increased the risk of the physical macro symptoms.
Conclusions: Being male was the unique protective factor in both waves. Other factors reflected different medical behaviours and the impact of comorbidities. Evidence of the effect of therapies adds valuable information that may drive future medical choices.
Source: Borgonovo F, Lovaglio PG, Mariani C, Berta P, Cossu MV, Rizzardini G, Vittadini G, Capetti AF. Analysis and clinical determinants of post-COVID-19 syndrome in the Lombardy region: evidence from a longitudinal cohort study. BMJ Open. 2024 Feb 6;14(2):e075185. doi: 10.1136/bmjopen-2023-075185. PMID: 38320835; PMCID: PMC10860093. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10860093/ (Full text)
High Prevalence of Long COVID in Common Variable Immunodeficiency: An Italian Multicentric Study
Abstract:
The long-term effects of SARS-CoV-2 infection represent a relevant global health problem. Long COVID (LC) is defined as a complex of signs and symptoms developed during or after SARS-CoV-2 infection and lasting > 12 weeks. In common variable immunodeficiency (CVID) patients, we previously reported higher risk of hospitalization and death during SARS-CoV-2 infection, as well as prolonged swab positivity and frequent reinfections.
The aim of the present study was to assess the risk of LC in an Italian cohort of CVID patients. We used a translated version of the survey proposed by Centers for Disease Control and Prevention (CDC) to collect data on LC. In the enrolled cohort of 175 CVID patients, we found a high prevalence of LC (65.7%). The most frequent LC symptoms were fatigue (75.7%), arthralgia/myalgia (48.7%), and dyspnea (41.7%). The majority of patients (60%) experienced prolonged symptoms, for at least 6 months after infection.
In a multivariate analysis, the presence of complicated phenotype (OR 2.44, 95% CI 1.88-5.03; p = 0.015), obesity (OR 11.17, 95% CI 1.37-90.95; p = 0.024), and female sex (OR 2.06, 95% CI 1.09-3.89; p = 0.024) significantly correlated with the development of LC.
In conclusion, in this multicenter observational cohort study, we demonstrated that CVID patients present an increased prevalence of LC when compared to the general population. Improved awareness on the risk of LC in CVID patients could optimize management of this new and alarming complication of SARS-CoV-2 infection.
Source: Villa A, Milito C, Deiana CM, Gambier RF, Punziano A, Buso H, Bez P, Lagnese G, Garzi G, Costanzo G, Giannuzzi G, Pagnozzi C, Dalm VASH, Spadaro G, Rattazzi M, Cinetto F, Firinu D. High Prevalence of Long COVID in Common Variable Immunodeficiency: An Italian Multicentric Study. J Clin Immunol. 2024 Feb 6;44(2):59. doi: 10.1007/s10875-024-01656-2. PMID: 38319477; PMCID: PMC10847195. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10847195/ (Full text)
From Viral Infection to Autoimmune Reaction: Exploring the Link between Human Herpesvirus 6 and Autoimmune Diseases
Abstract:
Mixed methods system for the assessment of post-exertional malaise in myalgic encephalomyelitis/chronic fatigue syndrome: an exploratory study
Abstract:
Background A central feature of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is post-exertional malaise (PEM), which is an acute worsening of symptoms after a physical, emotional and/or mental exertion. Dynamic measures of PEM have historically included scaled questionnaires, which have not been validated in ME/CFS. To enhance our understanding of PEM and how best to measure it, we conducted semistructured qualitative interviews (QIs) at the same intervals as visual analogue scale (VAS) measures after a cardiopulmonary exercise test (CPET).
Methods Ten ME/CFS and nine healthy volunteers participated in a CPET. For each volunteer, PEM symptom VAS (12 symptoms) and semistructured QIs were administered at six timepoints over 72 hours before and after a single CPET. QI data were used to plot the severity of PEM at each time point and identify the self-described most bothersome symptom for each ME/CFS volunteer. Performance of QI and VAS data was compared with each other using Spearman correlations.
Results Each ME/CFS volunteer had a unique PEM experience, with differences noted in the onset, severity, trajectory over time and most bothersome symptom. No healthy volunteers experienced PEM. QI and VAS fatigue data corresponded well an hour prior to exercise (pre-CPET, r=0.7) but poorly at peak PEM (r=0.28) and with the change from pre-CPET to peak (r=0.20). When the most bothersome symptom identified from QIs was used, these correlations improved (r=0.0.77, 0.42. and 0.54, respectively) and reduced the observed VAS scale ceiling effects.
Conclusion In this exploratory study, QIs were able to capture changes in PEM severity and symptom quality over time, even when VAS scales failed to do so. Measurement of PEM can be improved by using a quantitative–qualitative mixed model approach.
Source: , et al. Mixed methods system for the assessment of post-exertional malaise in myalgic encephalomyelitis/chronic fatigue syndrome: an exploratory study.
Restrained memory CD8+ T cell responses favors viral persistence and elevated IgG responses in patients with severe Long COVID
Abstract:
During the COVID-19 pandemic it was widely described that certain individuals infected by SARS-CoV-2 experience persistent disease signs and symptoms, Long COVID, which in some cases is very severe with life changing consequences. To maximize our chances of identifying the underpinnings of this illness, we have focused on 121 of the most severe cases from >1000 patients screened in specialized clinics in Sweden and Belgium. We restricted this study to subjects with objective measures of organ damage or dysfunction, >3 months following a verified, but mild-to-moderate SARS-CoV-2 infection.
By performing systems-level immunological testing and comparisons to controls fully convalescent following a similar mild/moderate COVID-19 episode, we identify elevated serological responses to SARS-CoV-2 in severe Long COVID suggestive of chronic antigen stimulation. Persistent viral reservoirs have been proposed in Long COVID and using multiple orthogonal methods for detection of SARS-CoV-2 RNA and protein in plasma we identify a subset of patients with detectable antigens, but with minimal overlap across assays, and no correlation to symptoms or immune measurements.
Elevated serologic responses to SARS-CoV-2 on the other hand were inversely correlated with clonally expanded memory CD8+ T cells, indicating that restrained clonal expansion enables viral persistence, chronic antigen exposure and elevated IgG responses, even if antigen-detection in blood is not universally possible.
Source: Lucie Rodriguez, Ziyang Tan, Tadepally Lakshmikanth, Jun Wang, Hugo Barcenilla, Zoe Swank, Fanglei Zuo, Hassan Abolhassani, Ana Jimena Pavlovitch-Bedzyk, Chunlin Wang, Laura Gonzalez, Constantin Habimana Mugabo, Anette Johnsson, Yang Chen, Anna James, Jaromir Mikes, Linn Kleberg, Christopher Sundling, Mikael Björnson, Malin Nygren Bonnier, Marcus Ståhlberg, Michael Runold, Sophia Björkander, Erik Melén, Isabelle Meyts, Johan Van Weyenbergh, Qian-Pan Hammarström, Mark M Davis, David R. Walt, Nils Landegren, COVID Human Genetic Effort, Alessandro Aiuti, Giorgio Casari, Jean-Laurent Casanova, Marc Jamoulle, Judith Bruchfeld, Petter Brodin. Restrained memory CD8+ T cell responses favors viral persistence and elevated IgG responses in patients with severe Long COVID.
Improving Quality of Life in Chronic Fatigue Syndrome using Antioxidant Complex Twendee M®.
Abstract:
Chronic fatigue syndrome: number of patients is expected to double due to long-term effects of the COVID-19 pandemic
Press Release:
Up to 80,000 people in Austria are estimated to suffer from chronic fatigue syndrome, also known as ME/CFS or myalgic encephalomyelitis/chronic fatigue syndrome. The number of ME/CFS patients is expected to rise drastically due to long-term effects of the COVID-19 pandemic. However, research in the field has neither identified mechanisms of disease onset nor causal treatment approaches. Scientists at MedUni Vienna have now identified possible biomarkers that could improve the diagnosis and treatment of long-lasting and debilitating fatigue. The study has recently been published in the Journal of Clinical Medicine.
The study by Eva Untersmayr-Elsenhuber and her team from MedUni Vienna’s Center for Pathophysiology, Infectiology and Immunology builds on earlier research on immune disorders and the intestinal barrier function in patients with ME/CFS. It is well known that ME/CFS patients often differ greatly in the clinical manifestations of their disease. However, despite intensive research, there is still no measurable parameter (biomarker) that clearly indicates the disease.
As the MedUni Vienna research team shows, ME/CFS patients can be divided into subgroups based on the function of their immune system. The study was able to identify various biomarkers in the patients that indicate immune system disorders or reduced intestinal barrier function. As a result, differences relevant to clinical care were identified in ME/CFS patients that would have remained undetected without the previous immunological stratification of the ME/CFS patient group. “In our study, we see that the immunological evaluation of ME/CFS patients is of crucial importance. Patients suffering from immunodeficiencies are characterised by an altered innate immune function. In ME/CFS patients with an intact immune system, the intestinal barrier function was reduced,” explains the study’s principal investigator Eva Untersmayr-Elsenhuber. According to the researchers, this not only provides a more detailed insight in different disease mechanisms, but also indicates that depending on the patient’s immune competence, some treatment approaches might be more suitable than others.
The next step will be to review the study results on a larger scale. In order to advance research in the field, the first ME/CFS Biobank in Austria is currently being set up at MedUni Vienna with the support of the WE&ME Foundation. “ME/CFS Biobank Austria” collects human samples, which will be made available for future research projects. Untersmayr-Elsenhuber: “To ensure that ME/CFS research can take place quickly and transnationally in the future, we have been coordinating with research groups in the UK, the Netherlands and Germany from the outset.”
25 per cent of those affected are bedridden
ME/CFS is a severe multisystemic disease that often leads to a high degree of disability. 60 per cent of patients are unable to work full-time and 25 per cent are bedridden. The exact causes of the disease are still unclear. As diagnosis is difficult due to the lack of biomarkers, the number of people affected cannot be precisely quantified. According to current studies, between 26,000 and 80,000 people in Austria suffer from chronic fatigue. Due to Covid-19, this number could double in the next few years. The links between infection with SARS-CoV-2 and ME/CFS are also the subject of intensive research.
JOURNAL
Journal of Clinical Medicine
ARTICLE TITLE
Immunological Patient Stratification in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
ARTICLE PUBLICATION DATE
3-Jan-2024
Inheriting discriminatory socio-political landscapes as ‘undeserving’ disabled people: The legacy of common health problems and the future for long COVID
Abstract:
Gut microbiota composition is altered in postural orthostatic tachycardia syndrome and post-acute COVID-19 syndrome
Abstract:
Postural Orthostatic Tachycardia Syndrome (POTS) reflects an autonomic dysfunction, which can occur as a complication to COVID-19. Our aim was to examine gastrointestinal symptoms and gut microbiota composition in patients with POTS and post-acute COVID-19 syndrome (PACS), compared with controls. POTS patients (n = 27), PACS patients (n = 32) and controls (n = 39) delivered fecal samples and completed a 4-day food diary, irritable bowel syndrome-severity scoring system (IBS-SSS), and visual analog scale for IBS (VAS-IBS).
A total of 98 DNA aliquots were sequenced to an average depth of 28.3 million (M) read pairs (Illumina 2 × 150 PE) per sample. Diversity and taxonomic levels of the microbiome, as well as functional abundances were calculated for POTS and PACS groups, then compared with controls. There were several differences in taxonomic composition between POTS and controls, whereas only the abundance of Ascomycota and Firmicutes differed between PACS and controls. The clinical variables total IBS-SSS, fatigue, and bloating and flatulence significantly correlated with multiple individual taxa abundances, alpha diversity, and functional abundances.
We conclude that POTS, and to a less extent PACS, are associated with differences in gut microbiota composition in diversity and at several taxonomic levels. Clinical symptoms are correlated with both alpha diversity and taxonomic and functional abundances.
Source: Hamrefors V, Kahn F, Holmqvist M, Carlson K, Varjus R, Gudjonsson A, Fedorowski A, Ohlsson B. Gut microbiota composition is altered in postural orthostatic tachycardia syndrome and post-acute COVID-19 syndrome. Sci Rep. 2024 Feb 9;14(1):3389. doi: 10.1038/s41598-024-53784-9. PMID: 38336892; PMCID: PMC10858216. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10858216/ (Full text)