Acute and post-acute sequelae of SARS-CoV-2 infection: a review of risk factors and social determinants

Abstract:

SARS-CoV-2 infection leading to Coronavirus Disease 2019 (COVID-19) has caused more than 762 million infections worldwide, with 10-30% of patients suffering from post-acute sequelae of SARS-CoV-2 infections (PASC). Initially thought to primarily affect the respiratory system, it is now known that SARS-CoV-2 infection and PASC can cause dysfunction in multiple organs, both during the acute and chronic stages of infection.

There are also multiple risk factors that may predispose patients to worse outcomes from acute SARS-CoV-2 infection and contribute to PASC, including genetics, sex differences, age, reactivation of chronic viruses such as Epstein Barr Virus (EBV), gut microbiome dysbiosis, and behavioral and lifestyle factors, including patients’ diet, alcohol use, smoking, exercise, and sleep patterns.

In addition, there are important social determinants of health, such as race and ethnicity, barriers to health equity, differential cultural perspectives and biases that influence patients’ access to health services and disease outcomes from acute COVID-19 and PASC.

Here, we review risk factors in acute SARS-CoV-2 infection and PASC and highlight social determinants of health and their impact on patients affected with acute and chronic sequelae of COVID-19.

Source: Wang C, Ramasamy A, Verduzco-Gutierrez M, Brode WM, Melamed E. Acute and post-acute sequelae of SARS-CoV-2 infection: a review of risk factors and social determinants. Virol J. 2023 Jun 16;20(1):124. doi: 10.1186/s12985-023-02061-8. PMID: 37328773; PMCID: PMC10276420. https://virologyj.biomedcentral.com/articles/10.1186/s12985-023-02061-8 (Full text)

Pre-existing allergic diseases as risk factors for long-term Long-COVID symptoms: a systematic review of prospective cohort studies

Abstract:

Background: The role of allergy as risk factor for Long-COVID (LC) is unclear. We aimed to systematically review and appraise the epidemiological evidence on allergic diseases as risk factors for LC (PROSPERO: CRD42023391245).
Methods: We examined literature for prospective cohort studies with a follow-up duration of 12 months for LC symptoms, published within the timeframe from January 2020 and January 2023 that recruited individuals with confirmed SARS-CoV-2 infection and information on pre-existing allergic diseases. Risk of bias and certainty of evidence were assessed (GRADE). Random effects meta-analyses were used to pool unadjusted ORs within homogeneous data subsets.
Results: We identified 13 studies (participants range = 39 – 1,950), all of which were associated with high risk of bias. Four of these studies did not provide data to calculate ORs. Significant associations were observed between increased LC incidences and pre-existing asthma measured in hospital-based populations ( n = 6) and pre-existing rhinitis ( n = 3) ( OR = 1.94; 95% CI [1.08, 3.50]; OR = 1.96; 95% CI [1.61, 2.39]), respectively. However, the level of certainty regarding these exposure outcome associations was very low.
Conclusion: Findings show that allergies may increase the risk of LC, although the reliability of this evidence is tenuous.
Source: Doreen Wolff, Karl Philipp Drewitz, Angela Ulrich, et al. Pre-existing allergic diseases as risk factors for long-term Long-COVID symptoms: a systematic review of prospective cohort studies. Authorea. June 14, 2023. DOI: 10.22541/au.168670123.38714309/v1 https://d197for5662m48.cloudfront.net/documents/publicationstatus/141144/preprint_pdf/5f547b44a0ff27aa14957c16c0561b73.pdf (Full text)

Natural history of long-COVID

Abstract:

Previous studies on the natural history of long-COVID have been few and selective. Without comparison groups, disease progression cannot be differentiated from symptoms originating from other causes. The Long-COVID in Scotland Study (Long-CISS) is a Scotland-wide, general population cohort of adults who had laboratory-confirmed SARS-CoV-2 infection matched to PCR-negative adults. Serial, self-completed, online questionnaires collected information on pre-existing health conditions and current health six, 12 and 18 months after index test.

Of those with previous symptomatic infection, 35% reported persistent incomplete/no recovery, 12% improvement and 12% deterioration. At six and 12 months, one or more symptom was reported by 71.5% and 70.7% respectively of those previously infected, compared with 53.5% and 56.5% of those never infected. Altered taste, smell and confusion improved over time compared to the never infected group and adjusted for confounders. Conversely, late onset dry and productive cough, and hearing problems were more likely following SARS-CoV-2 infection.

Source: Hastie, C.E., Lowe, D.J., McAuley, A. et al. Natural history of long-COVID in a nationwide, population cohort study. Nat Commun 14, 3504 (2023). https://doi.org/10.1038/s41467-023-39193-y https://www.nature.com/articles/s41467-023-39193-y (Full text)

Prolonged T-cell activation and long COVID symptoms independently associate with severe COVID-19 at 3 months

Abstract:

COVID-19 causes immune perturbations which may persist long-term, and patients frequently report ongoing symptoms for months after recovery. We assessed immune activation at 3-12 months post hospital admission in 187 samples from 63 patients with mild, moderate or severe disease and investigated whether it associates with long COVID.

At 3 months, patients with severe disease displayed persistent activation of CD4+ and CD8+ T-cells, based on expression of HLA-DR, CD38, Ki67 and granzyme B, and elevated plasma levels of IL-4, IL-7, IL-17 and TNF-α compared to mild and/or moderate patients. Plasma from severe patients at 3 months caused T-cells from healthy donors to upregulate IL-15Rα, suggesting that plasma factors in severe patients may increase T-cell responsiveness to IL-15-driven bystander activation.

Patients with severe disease reported a higher number of long COVID symptoms which did not however, correlate with cellular immune activation/pro-inflammatory cytokines after adjusting for age, sex and disease severity. Our data suggests that long COVID and persistent immune activation may correlate independently with severe disease.

Source: Marianna Santopaolo, Michaela Gregorova, Fergus Hamilton, David Arnold, Anna Long, Aurora Lacey, Alice Halliday, Holly Baum, Kristy Hamilton, Rachel Milligan, Elizabeth Oliver, Olivia Pearce, Lea Knezevic, Begonia Morales Aza, Alice Milne, Emily Milodowski, Eben Jones, Rajeka Lazarus, Anu Goenka, Adam Finn, Nicholas Maskell, Andrew D Davidson, Kathleen Gillespie, Linda Wooldridge, Laura Rivino (2023) Prolonged T-cell activation and long COVID symptoms independently associate with severe COVID-19 at 3 months eLife 12:e85009 https://doi.org/10.7554/eLife.85009 https://elifesciences.org/articles/85009

Comprehensive profiling of the human intestinal DNA virome and prediction of disease-associated bacterial hosts in severe Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a disabling disorder of unknown etiology with severely affected patients being house- and/or bedbound. A historical association with chronic virus infection and subsequent recent reports correlating intestinal microbial dysbiosis with disease pathology prompted us to analyze the intestinal virome in a small cohort of severely-affected ME/CFS patients and same household healthy controls (SHHC).

Datasets from whole metagenomic sequencing (WMS) and sequencing of virus-like particles (VLP)-enriched metagenomes from the same fecal sample yielded diverse, high-quality vOTUs with high read coverage and high genome completeness. The core intestinal virome was largely composed of tailed phages in the class Caudoviricetes with no significant differences in alpha diversity between ME/CFS and SHHC groups. However, the WMS dataset had a higher Shannon measure than the VLP dataset (p < 0.0001), with VLP- and WMS-derived sequences indicating differential abundances within several viral families and different viral compositions in beta diversity.

This confirms that combining different isolation methodologies identifies a greater diversity of viruses including extracellular phages and integrated prophages. DNA viromes and bacteriomes from ME/CFS and SHHC groups were comparable with no differences in any alpha or beta diversity measures. One vOTU derived from the VLP-derived dataset was assigned to ssDNA human virus smacovirus 1. Using an in-silico approach to predict cohort-based bacterial hosts, we identified members of the Anaerotruncus genus interacting with unique viruses present in ME/CFS microbiomes; this may contribute to the GI microbial dysbiosis described in ME/CFS patients.

Source: Shen-Yuan Hsieh, George M Savva, Andrea Telatin, Sumeet K Tiwari, Mohammad A Tariq, Fiona Newberry, Katharine A Seton, Catherine Booth, Amolak S Bansal, Tom Wileman, Evelien Andriaenssens, Simon R Carding. Comprehensive profiling of the human intestinal DNA virome and prediction of disease-associated bacterial hosts in severe Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). medRxiv 2023.06.29.23291738; doi: https://doi.org/10.1101/2023.06.29.23291738 https://www.medrxiv.org/content/10.1101/2023.06.29.23291738v1

Acquiring a new understanding of illness and agency: a narrative study of recovering from chronic fatigue syndrome

Abstract:

Background: The condition known as chronic fatigue syndrome or myalgic encephalomyelitis (CFS/ME) is poorly understood. Simplified medical models tend to neglect the complexity of illness, contributing to a terrain of uncertainty, dilemmas and predicaments. However, despite pessimistic pictures of no cure and poor prognosis, some patients recover.

Purpose: This study’s purpose is to provide insight into people’s experiences of suffering and recovery from very severe CFS/ME and illuminate understanding of how and why changes became possible.

Methods: Fourteen former patients were interviewed about their experiences of returning to health. A narrative analysis was undertaken to explore participants’ experiences and understandings. We present the result through one participant’s story.

Results: The analysis yielded a common plotline with a distinct turning point. Participants went through a profound narrative shift, change in mindset and subsequent long-time work to actively pursue their own healing. Their narrative understandings of being helpless victims of disease were replaced by a more complex view of causality and illness and a new sense of self-agency developed.

Discussion: We discuss the illness narratives in relation to the disease model and its shortcomings, the different voices dominating the stories at different times in a clinically, conceptually, and emotionally challenging area.

Source: Bakken AK, Mengshoel AM, Synnes O, Strand EB. Acquiring a new understanding of illness and agency: a narrative study of recovering from chronic fatigue syndrome. Int J Qual Stud Health Well-being. 2023 Dec;18(1):2223420. doi: 10.1080/17482631.2023.2223420. PMID: 37307500; PMCID: PMC10262810. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262810/ (Full text)

Detecting anti-SARS-CoV-2 antibodies in urine samples: A noninvasive and sensitive way to assay COVID-19 immune conversion

Abstract:

Serum-based ELISA (enzyme-linked immunosorbent assay) has been widely used to detect anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies. However, to date, no study has investigated patient urine as a biological sample to detect SARS-CoV-2 virus-specific antibodies. An in-house urine-based ELISA was developed using recombinant SARS-CoV-2 nucleocapsid protein.

The presence of SARS-CoV-2 antibodies in urine was established, with 94% sensitivity and 100% specificity for the detection of anti-SARS-CoV-2 antibodies with the urine-based ELISA and 88% sensitivity and 100% specificity with a paired serum-based ELISA. The urine-based ELISA that detects anti-SARS-CoV-2 antibodies is a noninvasive method with potential application as a facile COVID-19 immunodiagnostic platform, which can be used to report the extent of exposure at the population level and/or to assess the risk of infection at the individual level.

Source: Ludolf F, Ramos FF, Bagno FF, Oliveira-da-Silva JA, Reis TAR, Christodoulides M, Vassallo PF, Ravetti CG, Nobre V, da Fonseca FG, Coelho EAF. Detecting anti-SARS-CoV-2 antibodies in urine samples: A noninvasive and sensitive way to assay COVID-19 immune conversion. Sci Adv. 2022 May 13;8(19):eabn7424. doi: 10.1126/sciadv.abn7424. Epub 2022 May 13. PMID: 35559681; PMCID: PMC9106288. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106288/ (Full text)

Altered Effective Connectivity of Resting-State Networks by Tai Chi Chuan in Chronic Fatigue Syndrome Patients: A Multivariate Granger Causality Study

Abstract:

Numerous evidence has shown that patients with chronic fatigue syndrome (CFS) have changes in resting brain functional connectivity, but there is no study on the brain network effect of Tai Chi Chuan intervention in CFS. To explore the influence of Tai Chi Chuan exercise on the causal relationship between brain functional networks in patients with CFS, 21 patients with CFS and 19 healthy controls were recruited for resting-state functional magnetic resonance imaging (rs-fMRI) scanning and 36-item Short-Form Health Survey (SF-36) scale assessment before and after 1month-long training in Tai Chi Chuan.

We extracted the resting brain networks using the independent component analysis (ICA) method, analyzed the changes of FC in these networks, conducted Granger causality analysis (GCA) on it, and analyzed the correlation between the difference causality value and the SF-36 scale. Compared to the healthy control group, the SF-36 scale scores of patients with CFS were lower at baseline. Meanwhile, the causal relationship between sensorimotor network (SMN) and default mode network (DMN) was weakened. ‘

The above abnormalities could be improved by Tai Chi Chuan training for 1 month. In addition, the correlation analyses showed that the causal relationship between SMN and DMN was positively correlated with the scores of Role Physical (RP) and Bodily Pain (BP) in CFS patients, and the change of causal relationship between SMN and DMN before and after training was positively correlated with the change of BP score.

The findings suggest that Tai Chi Chuan is helpful to improve the quality of life for patients with CFS. The change of Granger causality between SMN and DMN may be a readout parameter of CFS. Tai Chi Chuan may promote the functional plasticity of brain networks in patients with CFS by regulating the information transmission between them.

Source: Li Y, Wu K, Hu X, Xu T, Li Z, Zhang Y, Li K. Altered Effective Connectivity of Resting-State Networks by Tai Chi Chuan in Chronic Fatigue Syndrome Patients: A Multivariate Granger Causality Study. Front Neurol. 2022 Jun 3;13:858833. doi: 10.3389/fneur.2022.858833. PMID: 35720086; PMCID: PMC9203735. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203735/ (Full text)

Long COVID in the Long Run-23-Month Follow-up Study of Persistent Symptoms

Abstract:

Symptoms of long coronavirus disease (COVID) were found in 38% of 170 patients followed for a median of 22.6 months. The most prevalent symptoms were fatigue, affected taste and smell, and difficulties remembering and concentrating. Predictors for long COVID were older age and number of symptoms in the acute phase. Long COVID may take many months, maybe years, to resolve.

Source: Helmsdal G, Hanusson KD, Kristiansen MF, Foldbo BM, Danielsen ME, Steig BÁ, Gaini S, Strøm M, Weihe P, Petersen MS. Long COVID in the Long Run-23-Month Follow-up Study of Persistent Symptoms. Open Forum Infect Dis. 2022 Jun 6;9(7):ofac270. doi: 10.1093/ofid/ofac270. PMID: 35891696; PMCID: PMC9308378. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308378/ (Full text)

A comparison of pain, fatigue, and function between post–COVID-19 condition, fibromyalgia, and chronic fatigue syndrome: a survey study

Abstract

A growing number of individuals report prolonged symptoms following acute COVID-19 infection, known as post-COVID-19 condition (post-COVID-19).

While studies have emerged investigating the symptom sequelae of post-COVID-19, there has been limited investigation into the characterization of pain, fatigue, and function in these individuals, despite initial reports of a clinical phenotype similar to fibromyalgia (FMS) and chronic fatigue syndrome/myalgic encephalomyelitis (CFS).

This study aimed to characterize multiple symptom domains in individuals reporting post-COVID-19 and compare its clinical phenotype to those with FMS and CFS.

A total of 707 individuals with a single or comorbid diagnosis of post-COVID-19, FMS, and/or CFS completed multiple surveys assessing self-reported pain, fatigue, physical and cognitive function, catastrophizing, kinesiophobia, anxiety, depression, dyspnea, and sleep quality. In all three diagnoses, elevated pain, fatigue, anxiety, depression, catastrophizing, and kinesiophobia were reported.

Physical and cognitive function were similarly impacted among individuals with post-COVID-19, FMS, and CFS; however, individuals with post-COVID-19 reported lower pain and fatigue than FMS and CFS.

The comorbid diagnosis of post-COVID-19 with FMS and/or CFS further exacerbated pain, fatigue, and psychological domains when compared to post-COVID-19 alone.

In summary, individuals with post-COVID-19 report a symptom phenotype similar to FMS and CFS, negatively impacting cognitive and physical function, but with less severe pain and fatigue overall. These findings may help direct future investigations of the benefit of a biopsychosocial approach to the clinical management of post-COVID-19.

Source: Haider S, Janowski AJ, Lesnak JB, Hayashi K, Dailey DL, Chimenti R, Frey-Law LA, Sluka KA, Berardi G. A comparison of pain, fatigue, and function between post-COVID-19 condition, fibromyalgia, and chronic fatigue syndrome: a survey study. Pain. 2023 Feb 1;164(2):385-401. doi: 10.1097/j.pain.0000000000002711. Epub 2022 Jun 29. PMID: 36006296; PMCID: PMC9797623.  https://pubmed.ncbi.nlm.nih.gov/36006296/