Abstract:
Category: Overlapping Illnesses
Autoantigen profiling reveals a shared post-COVID signature in fully recovered and Long COVID patients
Abstract:
Some individuals do not return to baseline health following SARS-CoV-2 infection, leading to a condition known as Long COVID. The underlying pathophysiology of Long COVID remains unknown. Given that autoantibodies have been found to play a role in severity of COVID infection and certain other post-COVID sequelae, their potential role in Long COVID is important to investigate. Here we apply a well-established, unbiased, proteome-wide autoantibody detection technology (PhIP-Seq) to a robustly phenotyped cohort of 121 individuals with Long COVID, 64 individuals with prior COVID-19 who reported full recovery, and 57 pre-COVID controls.
While a distinct autoreactive signature was detected which separates individuals with prior COVID infection from those never exposed to COVID, we did not detect patterns of autoreactivity that separate individuals with Long COVID relative to individuals fully recovered from SARS-CoV-2 infection. These data suggest that there are robust alterations in autoreactive antibody profiles due to infection; however, no association of autoreactive antibodies and Long COVID was apparent by this assay.
Source: Bodansky A, Wang CY, Saxena A, Mitchell A, Takahashi S, Anglin K, Huang B, Hoh R, Lu S, Goldberg SA, Romero J, Tran B, Kirtikar R, Grebe H, So M, Greenhouse B, Durstenfeld MS, Hsue PY, Hellmuth J, Kelly JD, Martin JN, Anderson MS, Deeks SG, Henrich TJ, DeRisi JL, Peluso MJ. Autoantigen profiling reveals a shared post-COVID signature in fully recovered and Long COVID patients. medRxiv [Preprint]. 2023 Feb 9:2023.02.06.23285532. doi: 10.1101/2023.02.06.23285532. PMID: 36798288; PMCID: PMC9934805. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934805/ (Full text)
Impact of COVID-19 vaccination in post-COVID cardiac complications
Abstract:
Background: After the acute infection, COVID-19 can produce cardiac complications as well as long-COVID persistent symptoms. Although vaccination against COVID-19 represented a clear reduction in both mortality and ICU admissions, there is very little information on whether this was accompanied by a decrease in the prevalence of post-COVID cardiac complications. The aim of this study was to analyze the relationship between COVID-19 vaccination and the prevalence of post-COVID cardiac injury assessed by echocardiogram, and long-COVID persistent cardiac symptoms.
Methods: All patients who consulted for post-COVID evaluation 14 days after discharge from acute illness were included. Patients with heart disease were excluded. The relationship between complete vaccination scheme (at least two doses applied with 14 days or more since the last dose) and pathological echocardiographic findings, as well as the relationship of vaccination with persistent long-COVID symptoms, were evaluated by multivariate analysis, adjusting for age, sex and clinical variables that would have shown significant differences in univariate analysis.
Results: From 1883 patients, 1070 patients (56.8%) suffered acute COVID-19 without a complete vaccination scheme. Vaccination was associated with lower prevalence of cardiac injury (1.35% versus 4.11%, adjusted OR 0.33; 95% CI 0.17-0.65, p=0.01). In addition, vaccinated group had a lower prevalence of persistent long-COVID symptoms compared to unvaccinated patients (10.7% versus 18.3%, adjusted OR 0.52; 95% CI 0.40-0.69, p<0.001).
Conclusion: Vaccination against COVID-19 was associated with lower post-COVID cardiac complications and symptoms, reinforcing the importance of fully vaccinating the population.
Source: Parodi JB, Indavere A, Bobadilla Jacob P, Toledo GC, Micali RG, Waisman G, Masson W, Epstein ED, Huerin MS. Impact of COVID-19 vaccination in post-COVID cardiac complications. Vaccine. 2023 Feb 17;41(8):1524-1528. doi: 10.1016/j.vaccine.2023.01.052. Epub 2023 Jan 27. PMID: 36725436; PMCID: PMC9885297. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885297/ (Full text)
Correlates of long-COVID-19: the role of demographics, chronic illness, and psychiatric diagnosis in an urban sample
Abstract:
Long-COVID-19 symptoms are an emerging public health issue. This study sought to investigate demographics, chronic illness, and probable psychiatric diagnoses as correlates for long-COVID-19 in an urban adult sample. Self-report Qualtrics surveys were sent to students across City University of New York (CUNY) campuses in New York City in Winter 2021-2022. Binary logistic regressions were used to assess the relation of a range of factors with endorsement of long-COVID-19. Results demonstrated that Latinx participants endorsed higher odds of long-COVID-19, as compared to non-Latinx white participants.
Participants who endorsed having a prior chronic illness and those who met the cut-off for probable psychiatric diagnoses all endorsed higher odds of long-COVID-19. Long-COVID-19 may be more likely among specific subpopulations and among persons with other ongoing physical and mental illness.
Source: Schulder T, Rudenstine S, Ettman CK, Galea S. Correlates of long-COVID-19: the role of demographics, chronic illness, and psychiatric diagnosis in an urban sample. Psychol Health Med. 2023 Feb 8:1-13. doi: 10.1080/13548506.2023.2177684. Epub ahead of print. PMID: 36752386. https://pubmed.ncbi.nlm.nih.gov/36752386/
Protective effect of COVID-19 vaccination against long COVID syndrome: A systematic review and meta-analysis
Abstract:
Background: The relationship between coronavirus disease 2019 (COVID-19) vaccination and long COVID has not been firmly established. We conducted a systematic review and meta-analysis to evaluate the association between COVID-19 vaccination and long COVID.
Methods: PubMed and EMBASE databases were searched on September 2022 without language restrictions (CRD42022360399) to identify prospective trials and observational studies comparing patients with and without vaccination before severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. We also included studies reporting symptomatic changes of ongoing long COVID following vaccination among those with a history of SARS-CoV-2 infection. Odds ratios (ORs) for each outcome were synthesized using a random-effects model. Symptomatic changes after vaccination were synthesized by a one-group meta-analysis.
Results: Six observational studies involving 536,291 unvaccinated and 84,603 vaccinated (before SARS-CoV-2 infection) patients (mean age, 41.2-66.6; female, 9.0-67.3%) and six observational studies involving 8,199 long COVID patients (mean age, 40.0 to 53.5; female, 22.2-85.9%) who received vaccination after SARS-CoV-2 infection were included. Two-dose vaccination was associated with a lower risk of long COVID compared to no vaccination (OR, 0.64; 95% confidence interval [CI], 0.45-0.92) and one-dose vaccination (OR, 0.60; 95% CI, 0.43-0.83). Two-dose vaccination compared to no vaccination was associated with a lower risk of persistent fatigue (OR, 0.62; 95% CI, 0.41-0.93) and pulmonary disorder (OR, 0.50; 95% CI, 0.47-0.52). Among those with ongoing long COVID symptoms, 54.4% (95% CI, 34.3-73.1%) did not report symptomatic changes following vaccination, while 20.3% (95% CI, 8.1-42.4%) experienced symptomatic improvement after two weeks to six months of COVID-19 vaccination.
Conclusions: COVID-19 vaccination before SARS-CoV-2 infection was associated with a lower risk of long COVID, while most of those with ongoing long COVID did not experience symptomatic changes following vaccination.
Source: Watanabe A, Iwagami M, Yasuhara J, Takagi H, Kuno T. Protective effect of COVID-19 vaccination against long COVID syndrome: A systematic review and meta-analysis. Vaccine. 2023 Feb 8:S0264-410X(23)00134-2. doi: 10.1016/j.vaccine.2023.02.008. Epub ahead of print. PMID: 36774332; PMCID: PMC9905096. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905096/ (Full text)
A machine learning approach identifies distinct early-symptom cluster phenotypes which correlate with hospitalization, failure to return to activities, and prolonged COVID-19 symptoms
Abstract:
Background: Accurate COVID-19 prognosis is a critical aspect of acute and long-term clinical management. We identified discrete clusters of early stage-symptoms which may delineate groups with distinct disease severity phenotypes, including risk of developing long-term symptoms and associated inflammatory profiles.
Methods: 1,273 SARS-CoV-2 positive U.S. Military Health System beneficiaries with quantitative symptom scores (FLU-PRO Plus) were included in this analysis. We employed machine-learning approaches to identify symptom clusters and compared risk of hospitalization, long-term symptoms, as well as peak CRP and IL-6 concentrations.
Results: We identified three distinct clusters of participants based on their FLU-PRO Plus symptoms: cluster 1 (“Nasal cluster”) is highly correlated with reporting runny/stuffy nose and sneezing, cluster 2 (“Sensory cluster”) is highly correlated with loss of smell or taste, and cluster 3 (“Respiratory/Systemic cluster”) is highly correlated with the respiratory (cough, trouble breathing, among others) and systemic (body aches, chills, among others) domain symptoms. Participants in the Respiratory/Systemic cluster were twice as likely as those in the Nasal cluster to have been hospitalized, and 1.5 times as likely to report that they had not returned-to-activities, which remained significant after controlling for confounding covariates (P < 0.01). Respiratory/Systemic and Sensory clusters were more likely to have symptoms at six-months post-symptom-onset (P = 0.03). We observed higher peak CRP and IL-6 in the Respiratory/Systemic cluster (P < 0.01).
Conclusions: We identified early symptom profiles potentially associated with hospitalization, return-to-activities, long-term symptoms, and inflammatory profiles. These findings may assist in patient prognosis, including prediction of long COVID risk.
Source: Epsi NJ, Powers JH, Lindholm DA, Mende K, Malloy A, Ganesan A, Huprikar N, Lalani T, Smith A, Mody RM, Jones MU, Bazan SE, Colombo RE, Colombo CJ, Ewers EC, Larson DT, Berjohn CM, Maldonado CJ, Blair PW, Chenoweth J, Saunders DL, Livezey J, Maves RC, Sanchez Edwards M, Rozman JS, Simons MP, Tribble DR, Agan BK, Burgess TH, Pollett SD; EPICC COVID-19 Cohort Study Group. A machine learning approach identifies distinct early-symptom cluster phenotypes which correlate with hospitalization, failure to return to activities, and prolonged COVID-19 symptoms. PLoS One. 2023 Feb 9;18(2):e0281272. doi: 10.1371/journal.pone.0281272. PMID: 36757946; PMCID: PMC9910657. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910657/ (Full text)
Symptom patterns and life with post-acute COVID-19 in children aged 8-17: a mixed methods studyprotocol
Abstract:
Background: While there is a substantial body of knowledge about acute COVID-19, less is known about long-COVID, where symptoms continue beyond four weeks.
Aim: This study aims to describe longer-term effects of COVID-19 infection in children and young people (CYP) and identify their needs in relation to long-COVID.
Design & setting: This study comprises an observational prospective cohort study and a linked qualitative study, identifying participants aged 8-17 years in the West Midlands of England.
Method: CYP will be invited to complete online questionnaires to monitor incidences and symptoms of Covid-19 over a 12-month period. CYP who have experienced long-term effects of COVID will be invited to interview, and those currently experiencing symptoms will be asked to document their experiences in a diary. Professionals who work with CYP will be invited to explore the impact of long-COVID on the wider experiences of CYP, in a focus group. Descriptive statistics will be used to describe the incidence and rates of resolution of symptoms, and comparisons made between exposed and non-exposed groups. Logistic regression models will be used to estimate associations between candidate predictors and the development of long-COVID, and linear regression will be used to estimate associations between candidate predictors. Qualitative data will be analysed thematically using the constant comparison method.
Conclusion: This study will describe features and symptoms of long-COVID and explore the impact of long-COVID within the lives of CYP and their families, to provide better understanding of long-COVID and inform clinical practice.
Source: Faux-Nightingale A, Burton C, Twohig H, Blagojevic-Bucknall M, Carroll W, Chew-Graham CA, Dunn K, Gilchrist F, Helliwell T, Lawton O, Lawton S, Mallen C, Saunders B, van der Windt D, Welsh V. Symptom patterns and life with post-acute COVID-19 in children aged 8-17: a mixed methods studyprotocol. BJGP Open. 2023 Feb 9:BJGPO.2022.0149. doi: 10.3399/BJGPO.2022.0149. Epub ahead of print. PMID: 36759021. https://bjgpopen.org/content/early/2023/02/08/BJGPO.2022.0149 (Full text available as PDF file)
A case of post-COVID-19 myalgic encephalomyelitis/chronic fatigue syndrome characterized by post-exertional malaise and low serum acylcarnitine level
Abstract:
COVID-19 afflicts patients with acute symptoms and longer term sequelae. One of the sequelae is myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), which is often difficult to diagnose, having no established tests. In this article, we synthesize information from literature reviews on patients with ME/CSF that developed after recovery from COVID-19.
Source: Jinushi R, Nishiguchi S, Masuda S, Sasaki A, Koizumi K, Ryozawa S. A case of post-COVID-19 myalgic encephalomyelitis/chronic fatigue syndrome characterized by post-exertional malaise and low serum acylcarnitine level. Clin Case Rep. 2023 Feb 10;11(2):e6930. doi: 10.1002/ccr3.6930. PMID: 36789311; PMCID: PMC9913186. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913186/ (Full text)
As a doctor with long covid, I feel abandoned by the NHS
The covid-19 pandemic has thrown a spotlight on the treatment of NHS staff and their perceived value to their employers. As a recent episode of the BBC’s Panorama programme showed, many NHS staff now find themselves abandoned and in a precarious financial position after being infected with covid-19—most likely at work. The episode, “Forgotten Heroes of the Covid Front Line,” interviewed NHS staff struggling with the ongoing health effects of covid-19 infection, uncovering the stories of people who, despite being too sick to work, are facing reduced sick pay or losing their jobs. For some staff, this has already happened.
An estimated two million people in the UK have long covid,1 including many thousands of NHS workers, so why do we hear so little about it? As a doctor in the NHS who is one of those affected, I’m disappointed by the collective silence and the lack of protections and support mechanisms in place. NHS workers had to put their health and lives on the line when the virus broke out, with only a weekly clap to bolster them. Yet the public’s support hid underlying questions about the inadequacy of the personal protective equipment given to frontline workers in the UK and troubling attitudes to the risks we’d expose these people to.
UK guidance told healthcare workers that flimsy plastic aprons and masks we could see through were enough to protect us when clearly they weren’t. NHS staff had no choice but to continue working and caring for patients, so we carried on. I will never forget the fear in the eyes of those I cared for, and the dawning reality of the virus we were facing as cases continued to climb and more people were admitted to hospital.
I was relatively young, fit, and healthy when the pandemic began. I didn’t take any medications or have a pre-existing illness. I had nothing to worry about, I was told. But I was worried and wanted to protect my family. After coming home from a shift in the community covid hub, I’d strip off in the front porch, put my clothes straight in the washing machine, and shower. Of course, now that we understand more about the transmission of covid-19, I know why this wasn’t enough. Within a few weeks of working during the first wave of the pandemic, I was sick and stuck in bed, my oxygen levels dropping whenever I stood or walked.
Initially, I carried on working, struggling to manage a few hours here and there. One key feature of everyone I know with long covid is that we “pushed through” the initial stages of our illness, believing that we could get better by carrying on and ignoring our bodies. As a doctor, the system I worked in and the martyr complex instilled by medical culture enabled that view. In medicine, being ill, being human, and looking after ourselves is still too often seen as a kind of failure or weakness.
Being a doctor was how I defined my life, but eventually I was unable to carry on working. Now I’m in constant pain. I struggle to sit, walk, or play with my children. Like thousands of other people, I face the stark reality of being left behind—thrown away because I am now disabled.
The contrast in the way that healthcare workers have been treated is stark: from being lauded as heroes when needed by the system and government to being abandoned if they can now no longer work in the way they once did. Where is the leadership from the top, insisting that we care for those who were harmed by covid while working?
NHS workers—from doctors to porters, cleaners to nurses—have held the service together with their goodwill for years. But the personal costs of this are often too great. Even before the pandemic, I frequently neglected my needs or personal life for work. I miscarried at work, and continued with my clinic, not even giving myself time for a brief cry in the toilet. I missed a friend’s funeral because they were not a “first degree relative.” The covid-19 pandemic, and the swell of recognition it prompted for the value of healthcare workers, should have helped us reset these priorities and provide more support for staff. Yet this opportunity hasn’t been taken up by the government or NHS employers and is typified in the response to staff with long covid.
Like many people with long covid, I struggle living in a world where covid-19 has been declared “over” even though I still have not recovered my former health and more people are falling ill all the time. NHS staff, especially those with long covid or other covid-19 sequelae, should be protected from further infections and not have to fear for our lives going to work nearly three years on. Research has shown that FFP3 masks reduce the risk of covid-19 infection2: those who wish to wear them should be given them and supported.
Staff with long covid still have a lot to contribute to the NHS, which is beset by workforce shortages, but they need compassion and understanding. Many workers with long covid are desperately trying to return to work, but they must be met with flexibility and support. Instead of setting rigid time frames, NHS trusts should work with us to use our skills. This will mean making reasonable adjustments where they can, such as offering reduced duties, shorter hours, or the opportunity to work from home where possible.
The NHS has needed to challenge the organisational attitude of “work first, person second” for a long time. It can make a start by providing workers with long covid with adequate sick pay or compensation and the support to work if they are able to. Many of these people are ill because they were trying to save other people’s lives, without looking after their own. To neglect them now because they can no longer provide the same level of productivity is shameful.
Source: BMJ 2023;380:p337 https://www.bmj.com/content/380/bmj.p337 (Full text)
Potential molecular mechanisms of chronic fatigue in long haul COVID and other viral diseases
Abstract:
Historically, COVID-19 emerges as one of the most devastating diseases of humankind, which creates an unmanageable health crisis worldwide. Until now, this disease costs millions of lives and continues to paralyze human civilization’s economy and social growth, leaving an enduring damage that will take an exceptionally long time to repair.
While a majority of infected patients survive after mild to moderate reactions after two to six weeks, a growing population of patients suffers for months with severe and prolonged symptoms of fatigue, depression, and anxiety. These patients are no less than 10% of total COVID-19 infected individuals with distinctive chronic clinical symptomatology, collectively termed post-acute sequelae of COVID-19 (PASC) or more commonly long-haul COVID. Interestingly, Long-haul COVID and many debilitating viral diseases display a similar range of clinical symptoms of muscle fatigue, dizziness, depression, and chronic inflammation.
In our current hypothesis-driven review article, we attempt to discuss the molecular mechanism of muscle fatigue in long-haul COVID, and other viral diseases as caused by HHV6, Powassan, Epstein-Barr virus (EBV), and HIV. We also discuss the pathological resemblance of virus-triggered muscle fatigue with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).
Source: Gottschalk CG, Peterson D, Armstrong J, Knox K, Roy A. Potential molecular mechanisms of chronic fatigue in long haul COVID and other viral diseases. Infect Agent Cancer. 2023 Feb 7;18(1):7. doi: 10.1186/s13027-023-00485-z. PMID: 36750846; PMCID: PMC9902840. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902840/ (Full text)