Abstract:
Category: Overlapping Illnesses
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)
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.
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)
Neuroinflammatory imaging markers in white matter: insights into the cerebral consequences of post-acute sequelae of COVID-19 (PASC)
Abstract:
Symptoms of coronavirus disease 2019 (COVID-19) can persist for months or years after infection, a condition called Post-Acute Sequelae of COVID-19 (PASC). Whole-brain white matter and cortical gray matter health were assessed using multi-shell diffusion tensor imaging. Correlational tractography was utilized to dissect the nature and extent of white matter changes.
In this study of 42 male essential workers, the most common symptoms of Neurological PASC (n = 24) included fatigue (n = 19) and headache (n = 17). Participants with neurological PASC demonstrated alterations to whole-brain white matter health when compared to controls made up of uninfected, asymptomatic, or mildly infected controls (n = 18). Large differences were evident between PASC and controls in measures of fractional anisotropy (Cohen’s D=-0.54, P = 0.001) and cortical isotropic diffusion (Cohen’s D = 0.50, P = 0.002).
Symptoms were associated with white matter fractional anisotropy (fatigue: rho = -0.62, P < 0.001; headache: rho = -0.66, P < 0.001), as well as nine other measures of white and gray matter health. Brain fog was associated with improved cerebral functioning including improved white matter isotropic diffusion and quantitative anisotropy.
This study identified changes across measures of white and gray matter connectivity, neuroinflammation, and cerebral atrophy that were interrelated and associated with differences in symptoms of PASC. These results provide insights into the long-term cerebral implications of COVID-19.
Source: Sean Clouston, Chuan Huang, Jia Ying et al. Neuroinflammatory imaging markers in white matter: insights into the cerebral consequences of post-acute sequelae of COVID-19 (PASC), 19 January 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-3760289/v1] https://www.researchsquare.com/article/rs-3760289/v1 (Full text)
Altered mitochondrial respiration in peripheral blood mononuclear cells of post-acute sequelae of SARS-CoV-2 infection
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Peripheral blood mononuclear cells (PBMC) mitochondrial respiration was measured ex vivo from participants without a history of COVID (n = 19), with a history of COVID and full recovery (n = 20), and with PASC (n = 20). Mean mitochondrial basal respiration, ATP-linked respiration, maximal respiration, spare respiration capacity, ATP-linked respiration, and non-mitochondrial respiration were highest in COVID + PASC+ (p ≤ 0.04). Every unit increase in non-mitochondrial respiration, ATP-linked respiration, basal respiration, spare respiration capacity, and maximal respiration increased the predicted odds of PASC between 1 % and 6 %. Mitochondrial dysfunction in PBMCs may be contributing to the etiology of PASC.
Source: Dirajlal-Fargo S, Maison DP, Durieux JC, Andrukhiv A, Funderburg N, Ailstock K, Gerschenson M, Mccomsey GA. Altered mitochondrial respiration in peripheral blood mononuclear cells of post-acute sequelae of SARS-CoV-2 infection. Mitochondrion. 2024 Feb 8:101849. doi: 10.1016/j.mito.2024.101849. Epub ahead of print. PMID: 38341012. https://www.sciencedirect.com/science/article/pii/S1567724924000072 (Full text)
Does Pre-existing Diabetes Correlate with Long COVID-19 in Europe? Evidence from the Analysis of the Survey of Health, Ageing and Retirement in Europe’s Corona Surveys
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Background. A substantial proportion of those infected with COVID-19 are presenting with persistent symptoms, referred to as long COVID-19. Emerging evidence suggests that the presence of pre-existing chronic conditions, such as diabetes, may increase the risk of long COVID-19. Objectives. To investigate whether having pre-existing diabetes increases the risk of developing long COVID-19 in the population of middle-aged and older adults (≥50 years old) in Europe, while assessing if this relationship can be accounted for or is modified by the known long COVID-19 and diabetes risk factors (age, sex, hospitalization, pre-existing hypertension, and weight status).
Methods. A population-based longitudinal prospective study involving a sample of respondents aged 50 years and older () with probable or confirmed COVID-19 infection from 27 countries that participated in both waves 7 and 8 of the Survey of Health, Ageing and Retirement in Europe and its 2020 and 2021 Corona Surveys. Logistic regression modeling was performed.
Results. Overall, 66.8% of the respondents affected by COVID-19 infection reported at least one long COVID-19 symptom; 55.2% were female, and the average age was 64.6 years; 13.2% had pre-existing diabetes. Respondents with pre-existing diabetes had significantly higher odds of developing long COVID-19, compared to those without diabetes (; 95% ). This relationship remained significant (; 98% ) after adjusting for sex ( for females; 95% ), hospitalization for COVID-19 illness (; 95% ), pre-existing hypertension (; 95% ), and overweight (; 95% ) and obese (; 95% ) weight status. The effect of pre-existing diabetes on the risk of long COVID-19 is moderated by age; it was highest at the age of 50 (; 95% ), and then, it declined with age.
Conclusions. There is a relationship between pre-existing diabetes and long COVID-19, even after controlling for literature-based confounding factors, with age having a moderating effect on this relationship.
Source: Sarah Cuschieri, Piotr Wilk, “Does Pre-existing Diabetes Correlate with Long COVID-19 in Europe? Evidence from the Analysis of the Survey of Health, Ageing and Retirement in Europe’s Corona Surveys”, Journal of Diabetes Research, vol. 2024, Article ID 7459628, 7 pages, 2024. https://doi.org/10.1155/2024/7459628 https://www.hindawi.com/journals/jdr/2024/7459628/ (Full text)
How does post COVID differ from other post-viral conditions in childhood and adolescence (0-20 years old)? A systematic review
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Background: Post Coronavirus disease (COVID) and other post-viral infection syndromes present an overlap of pathogenesis, onset, progression, and symptom profile. We aimed to systematically describe studies on post-viral conditions and determine the entity of post COVID compared to other post-viral conditions in children.
Methods: We conducted a systematic search of the Embase, MEDLINE, Cochrane Library, and GoogleScholar databases (January 1946-3 November 2023), according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. The main outcomes were differences in condition duration, symptom type, and development of chronic symptoms. This systematic review was registered on PROSPERO (CRD42023401789).
Findings: 35/5051 studies were included, with 42,934 children, adolescents and young adults (0-20 years old) overall. Twenty-eight studies focused on post COVID symptoms, followed by five papers on Respiratory Syncytial Virus (RSV) and Rhinovirus, one study on Epstein-Barr Virus (EBV), and one on gastrointestinal viruses. Studies on post COVID mainly reported data on older children/adolescents, describing long-lasting symptoms, including fatigue, neurologic, cardiorespiratory, musculoskeletal, mental health, and gastrointestinal symptoms. The maximum described symptoms duration was eighteen months, with an average follow-up of seven months. The development of chronic symptoms was reported by 30 studies (93.8%) for 10,473/28,474 patients (36.8%). Recovery was achieved in 18,001/28,474 cases (63.2%). The study on EBV reported persistent fatigue in adolescents for a similar duration (6 months, 46% chronic). Studies on RSV and Rhinovirus were mainly done in children under three years, with development of recurrent wheezing (up to 3 years).
Interpretation: Post-viral fatigue was a shared feature between post COVID and post EBV conditions. A better understanding of post COVID as a unique condition, sharing features with other post-viral syndromes, is needed. The healthcare burden and socio-economic consequences for children and their families warrant further investigation and development of appropriate healthcare management plans. The foremost requirement is the establishment of consistent and shareable definitions, as well as a consensus on outcomes, to effectively evaluate follow-up and quantify the burden of different viral infections.
Source: Minotti C, McKenzie C, Dewandel I, Bekker C, Sturniolo G, Doni D, Giaquinto C, Van Der Zalm MM, Donà D. How does post COVID differ from other post-viral conditions in childhood and adolescence (0-20 years old)? A systematic review. EClinicalMedicine. 2024 Feb 2;68:102436. doi: 10.1016/j.eclinm.2024.102436. PMID: 38333536; PMCID: PMC10850405. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10850405/ (Full text)