Category: Overlapping Illnesses

Inflammation during early post-acute COVID-19 is associated with reduced exercise capacity and Long COVID symptoms after 1 year

Abstract:

Background: Mechanisms underlying persistent cardiopulmonary symptoms following SARS-CoV-2 infection (post-acute sequelae of COVID-19 “PASC” or “Long COVID”) remain unclear. The purpose of this study was to elucidate the pathophysiology of cardiopulmonary PASC using multimodality cardiovascular imaging including cardiopulmonary exercise testing (CPET), cardiac magnetic resonance imaging (CMR) and ambulatory rhythm monitoring.

Methods: We performed CMR, CPET, and ambulatory rhythm monitoring among adults > 1 year after PCR-confirmed SARS-CoV-2 infection in the UCSF Long-Term Impact of Infection with Novel Coronavirus cohort (LIINC; NCT04362150 ) and correlated findings with previously measured biomarkers. We used logistic regression to estimate associations with PASC symptoms (dyspnea, chest pain, palpitations, and fatigue) adjusted for confounders and linear regression to estimate differences between those with and without symptoms adjusted for confounders.

Results: Out of 120 participants in the cohort, 46 participants (unselected for symptom status) had at least one advanced cardiac test performed at median 17 months following initial SARS-CoV-2 infection. Median age was 52 (IQR 42-61), 18 (39%) were female, and 6 (13%) were hospitalized for severe acute infection. On CMR (n=39), higher extracellular volume was associated with symptoms, but no evidence of late-gadolinium enhancement or differences in T1 or T2 mapping were demonstrated. We did not find arrhythmias on ambulatory monitoring. In contrast, on CPET (n=39), 13/23 (57%) with cardiopulmonary symptoms or fatigue had reduced exercise capacity (peak VO 2 <85% predicted) compared to 2/16 (13%) without symptoms (p=0.008). The adjusted difference in peak VO 2 was 5.9 ml/kg/min lower (-9.6 to -2.3; p=0.002) or -21% predicted (-35 to -7; p=0.006) among those with symptoms. Chronotropic incompetence was the primary abnormality among 9/15 (60%) with reduced peak VO 2 . Adjusted heart rate reserve <80% was associated with reduced exercise capacity (OR 15.6, 95%CI 1.30-187; p=0.03). Inflammatory markers (hsCRP, IL-6, TNF-α) and SARS-CoV-2 antibody levels measured early in PASC were negatively correlated with peak VO 2 more than 1 year later.

Conclusions: Cardiopulmonary symptoms and elevated inflammatory markers present early in PASC are associated with objectively reduced exercise capacity measured on cardiopulmonary exercise testing more than 1 year following COVID-19. Chronotropic incompetence may explain reduced exercise capacity among some individuals with PASC.

Clinical perspective: What is New? Elevated inflammatory markers in early post-acute COVID-19 are associated with reduced exercise capacity more than 1 year later. Impaired chronotropic response to exercise is associated with reduced exercise capacity and cardiopulmonary symptoms more than 1 year after SARS-CoV-2 infection. Findings on ambulatory rhythm monitoring point to perturbed autonomic function, while cardiac MRI findings argue against myocardial dysfunction and myocarditis.

Clinical implications: Cardiopulmonary testing to identify etiologies of persistent symptoms in post-acute sequalae of COVID-19 or “Long COVID” should be performed in a manner that allows for assessment of heart rate response to exercise. Therapeutic trials of anti-inflammatory and exercise strategies in PASC are urgently needed and should include assessment of symptoms and objective testing with cardiopulmonary exercise testing.

Source: Durstenfeld MS, Peluso MJ, Kaveti P, Hill C, Li D, Sander E, Swaminathan S, Arechiga VM, Sun K, Ma Y, Zepeda V, Lu S, Goldberg SA, Hoh R, Chenna A, Yee BC, Winslow JW, Petropoulos CJ, Win S, Kelly JD, Glidden DV, Henrich TJ, Martin JN, Lee YJ, Aras MA, Long CS, Grandis DJ, Deeks SG, Hsue PY. Inflammation during early post-acute COVID-19 is associated with reduced exercise capacity and Long COVID symptoms after 1 year. medRxiv [Preprint]. 2022 Jun 1:2022.05.17.22275235. doi: 10.1101/2022.05.17.22275235. PMID: 35677073; PMCID: PMC9176659. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9176659/ (Full text)

Autonomic function testing in long-COVID syndrome patients with orthostatic intolerance

Abstract:

The association between dysautonomia and long-COVID syndrome has gained considerable interest. This study retrospectively characterized the findings of autonomic reflex screen (ARS) in long-COVID patients presenting with orthostatic intolerance (OI). Fourteen patients were identified. All patients had normal cardiovagal function and 2 patients had abnormal sudomotor function. The head-up tilt table (HUTT) was significantly abnormal in 3 patients showing postural orthostatic tachycardia syndrome (POTS). CASS ranged from 0 to 2. The most common clinical scenario was symptoms of orthostatic intolerance without demonstrable HUTT orthostatic tachycardia or orthostatic hypotension (OH) (n = 8, 57 %). In our case series, most long-COVID patients presenting to our laboratory with OI had no significant HUTT abnormalities; only 3 patients met the criteria for POTS.

Source: Eldokla AM, Ali ST. Autonomic function testing in long-COVID syndrome patients with orthostatic intolerance. Auton Neurosci. 2022 Jun 2;241:102997. doi: 10.1016/j.autneu.2022.102997. Epub ahead of print. PMID: 35679657. https://pubmed.ncbi.nlm.nih.gov/35679657/

Long COVID in the long run – 23 months follow-up study of persistent symptoms

Abstract:

Symptoms of long COVID were found in 38% of 170 patients followed median 22.6 months. 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: Gunnhild Helmsdal, Katrin Dahl Hanusson, Marnar Fríðheim Kristiansen, Billa Mouritsardóttir Foldbo, Marjun Eivindardóttir Danielsen, Bjarni á Steig, Shahin Gaini, Marin Strøm, Pál Weihe, Maria Skaalum Petersen, Long COVID in the long run – 23 months follow-up study of persistent symptoms, Open Forum Infectious Diseases, 2022;, ofac270, https://doi.org/10.1093/ofid/ofac270 (Full text available as PDF file)

The relevance of headache as an onset symptom in COVID-19: a network analysis of data from the LONG-COVID-EXP-CM multicentre study

To the Editor,

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus primary affects the respiratory system; however, a multiorganic affection is evident. Neurological symptoms are frequent at the acute- and post-acute phases after infection [1]. Headache is a neurological symptom experienced as a COVID-19-onset symptom associated with a more benign course of the disease [2]; however, it has been also associated with a higher prevalence of post-COVID headache [3].

During the acute COVID-19 phase, headache often co-exists with other neurological symptoms, e.g., anosmia or ageusia [4]. The presence of anosmia as an onset symptom is also associated with lower mortality rate and a less severe disease, although it seems that patients with anosmia and ageusia represent a different group than those with headache [5]. In this letter, we applied a network analysis to determine the relevance of COVID-19-onset symptoms, including headache, as well as pre-existing medical co-morbidities in a sample of previously hospitalised COVID-19 patients.

The LONG-COVID-EXP-CM is a multicentre cohort study including individuals with a diagnosis of SARS-CoV-2 infection by RT-PCR technique and/or radiological findings hospitalised during the first wave of the pandemic in five hospitals of Madrid (Spain). Among all patients hospitalised during the first wave, a sample of 400 from each hospital was randomly selected. The Ethics Committee of all the hospitals approved the study (HCSC20/495E, HSO25112020, HUFA20/126, HUIL/092-20, HUF/EC1517). Verbal informed consent was obtained from participants for the use of their data in this analysis. Demographic data, pre-existing medical comorbidities, COVID-19 symptoms at hospital admission, days at hospital, and intensive care unit (ICU) admission were collected from hospital records.

The network included 28 nodes linked by edges weighted by partial correlation coefficients. The dataset as well as the related two vectors specifying the type (“g” for Gaussian, “p” for Poisson, “c” for categorical) and the number of levels (or categories) for each variable is provided. The mgm was estimated for order = 2 to only take pairwise interactions into account, using least absolute shrinkage and selection operator (LASSO, ℓ1-regularisation) that seeks to maximise specificity (to include as few false positives as possible) with rule = “AND” (which specifies whether the two estimates for an edge are combined with an “AND” or an “OR” rule). Since not all nodes in a network are equally important, centrality was assessed by calculating strength centrality (defined as the sum of weights of edges), betweenness centrality (defined as the total number of shortest paths that pass through the target node, moderated by the total number of shortest paths existing between any couple of nodes in the graph) and closeness centrality (defined as the inverse sum of the distances of shortest of the target node from all other nodes in the network).

Two thousand (n = 2000) patients were randomly selected and invited to participate. A total of 1969 (age:61 ± 16 years, 46.4% women) were included. The most common symptoms at hospital admission were fever (74.6%), dyspnoea (31.5%), myalgia (30.7%) and cough (27.9%). The network identified one group of variables grouping all COVID-19-onset symptoms at hospitalisation, and a second one grouping all pre-existing medical co-morbidities (Fig. 1). Multiple positive correlations between the variables in each group were found. The highest correlation (ρρ:5.87) in the medical co-morbidity group was between asthma (node 9) and rheumatological diseases (node 13). Within the COVID-19-onset symptoms group, headache (node 20) had several high correlations with fever (node 16, ρρ:5.981), dyspnoea (node 17, ρρ:5.617), anosmia (node 22, ρρ:5.2276 and ageusia (node 23, ρρ:4.660). No correlations between both groups of variables were seen. In the group of COVID-19-onset symptoms, headache was the node showing the highest strength centrality, highest betweenness centrality and highest closeness centrality (node 20, Fig. 2).

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Source: Fernández-de-las-Peñas, C., Varol, U., Gómez-Mayordomo, V. et al. The relevance of headache as an onset symptom in COVID-19: a network analysis of data from the LONG-COVID-EXP-CM multicentre study. Acta Neurol Belg (2022). https://doi.org/10.1007/s13760-022-01998-x  https://link.springer.com/article/10.1007/s13760-022-01998-x (Full text)

A systematic review and meta-analysis of long term physical and mental sequelae of COVID-19 pandemic: call for research priority and action

Abstract:

The long-term physical and mental sequelae of COVID-19 are a growing public health concern, yet there is considerable uncertainty about their prevalence, persistence and predictors. We conducted a comprehensive, up-to-date meta-analysis of survivors’ health consequences and sequelae for COVID-19. PubMed, Embase and the Cochrane Library were searched through Sep 30th, 2021. Observational studies that reported the prevalence of sequelae of COVID-19 were included. Two reviewers independently undertook the data extraction and quality assessment.

Of the 36,625 records identified, a total of 151 studies were included involving 1,285,407 participants from thirty-two countries. At least one sequelae symptom occurred in 50.1% (95% CI 45.4-54.8) of COVID-19 survivors for up to 12 months after infection. The most common investigation findings included abnormalities on lung CT (56.9%, 95% CI 46.2–67.3) and abnormal pulmonary function tests (45.6%, 95% CI 36.3–55.0), followed by generalized symptoms, such as fatigue (28.7%, 95% CI 21.0–37.0), psychiatric symptoms (19.7%, 95% CI 16.1–23.6) mainly depression (18.3%, 95% CI 13.3–23.8) and PTSD (17.9%, 95% CI 11.6–25.3), and neurological symptoms (18.7%, 95% CI 16.2–21.4), such as cognitive deficits (19.7%, 95% CI 8.8–33.4) and memory impairment (17.5%, 95% CI 8.1–29.6).

Subgroup analysis showed that participants with a higher risk of long-term sequelae were older, mostly male, living in a high-income country, with more severe status at acute infection. Individuals with severe infection suffered more from PTSD, sleep disturbance, cognitive deficits, concentration impairment, and gustatory dysfunction. Survivors with mild infection had high burden of anxiety and memory impairment after recovery.

Our findings suggest that after recovery from acute COVID-19, half of survivors still have a high burden of either physical or mental sequelae up to at least 12 months. It is important to provide urgent and appropriate prevention and intervention management to preclude persistent or emerging long-term sequelae and to promote the physical and psychiatric wellbeing of COVID-19 survivors.

Source: Zeng N, Zhao YM, Yan W, Li C, Lu QD, Liu L, Ni SY, Mei H, Yuan K, Shi L, Li P, Fan TT, Yuan JL, Vitiello MV, Kosten T, Kondratiuk AL, Sun HQ, Tang XD, Liu MY, Lalvani A, Shi J, Bao YP, Lu L. A systematic review and meta-analysis of long term physical and mental sequelae of COVID-19 pandemic: call for research priority and action. Mol Psychiatry. 2022 Jun 6:1–11. doi: 10.1038/s41380-022-01614-7. Epub ahead of print. PMID: 35668159; PMCID: PMC9168643. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168643/ (Full text)

Is post-COVID syndrome an autoimmune disease?

Abstract:

Introduction: Post-COVID syndrome (PCS) is recognized as a new entity in the context of SARS-CoV-2 infection. Though its pathogenesis is not completely understood, persistent inflammation from acute illness and the development of autoimmunity play a critical role in its development.

Areas covered: The mechanisms involved in the emergence of PCS, their similarities with post-viral and post-care syndromes, its inclusion in the spectrum of autoimmunity and possible targets for its treatment.

Expert opinion: An autoimmune phenomenon plays a major role in most causative theories explaining PCS. There is a need for both PCS definition and classification criteria (including severity scores). Longitudinal and controlled studies are necessary to better understand this new entity, and to find what additional factors participate into its development. With the high prevalence of COVID-19 cases worldwide, together with the current evidence on latent autoimmunity in PCS, we may observe an increase of autoimmune diseases (ADs) in the coming years. Vaccination’s effect on the development of PCS and ADs will also receive attention in the future. Health and social care services need to develop a new framework to deal with PCS.

Source: Anaya JM, Herrán M, Beltrán S, Rojas M. Is post-COVID syndrome an autoimmune disease? Expert Rev Clin Immunol. 2022 Jun 14:1-14. doi: 10.1080/1744666X.2022.2085561. Epub ahead of print. PMID: 35658801. https://pubmed.ncbi.nlm.nih.gov/35658801/

Comprehensive clinical assessment identifies specific neurocognitive deficits in working-age patients with long-COVID

Abstract:

Introduction: There have been more than 425 million COVID-19 infections worldwide. Post-COVID illness has become a common, disabling complication of this infection. Therefore, it presents a significant challenge to global public health and economic activity.

Methods: Comprehensive clinical assessment (symptoms, WHO performance status, cognitive testing, CPET, lung function, high-resolution CT chest, CT pulmonary angiogram and cardiac MRI) of previously well, working-age adults in full-time employment was conducted to identify physical and neurocognitive deficits in those with severe or prolonged COVID-19 illness.

Results: 205 consecutive patients, age 39 (IQR30.0-46.7) years, 84% male, were assessed 24 (IQR17.1-34.0) weeks after acute illness. 69% reported ≥3 ongoing symptoms. Shortness of breath (61%), fatigue (54%) and cognitive problems (47%) were the most frequent symptoms, 17% met criteria for anxiety and 24% depression. 67% remained below pre-COVID performance status at 24 weeks. One third of lung function tests were abnormal, (reduced lung volume and transfer factor, and obstructive spirometry). HRCT lung was clinically indicated in <50% of patients, with COVID-associated pathology found in 25% of these. In all but three HRCTs, changes were graded ‘mild’. There was an extremely low incidence of pulmonary thromboembolic disease or significant cardiac pathology. A specific, focal cognitive deficit was identified in those with ongoing symptoms of fatigue, poor concentration, poor memory, low mood, and anxiety. This was notably more common in patients managed in the community during their acute illness.

Conclusion: Despite low rates of residual cardiopulmonary pathology, in this cohort, with low rates of premorbid illness, there is a high burden of symptoms and failure to regain pre-COVID performance 6-months after acute illness. Cognitive assessment identified a specific deficit of the same magnitude as intoxication at the UK drink driving limit or the deterioration expected with 10 years ageing, which appears to contribute significantly to the symptomatology of long-COVID.

Source: Holdsworth DA, Chamley R, Barker-Davies R, O’Sullivan O, Ladlow P, Mitchell JL, Dewson D, Mills D, May SLJ, Cranley M, Xie C, Sellon E, Mulae J, Naylor J, Raman B, Talbot NP, Rider OJ, Bennett AN, Nicol ED. Comprehensive clinical assessment identifies specific neurocognitive deficits in working-age patients with long-COVID. PLoS One. 2022 Jun 10;17(6):e0267392. doi: 10.1371/journal.pone.0267392. PMID: 35687603; PMCID: PMC9187094. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187094/ (Full text)

Increased risks of cancer and autoimmune disease among the first-degree relatives of patients with myalgic encephalomyelitis (ME)/chronic fatigue syndrome (CFS)

Background: Myalgic encephalomyelitis (ME)/chronic fatigue syndrome (CFS) is a disabling multi-system complex disorder with prevalence of 875 per 100,000 (up to 3.4 million people) in the United States. There are no known etiologic or risk factors and no approved treatments for ME/CFS. We conducted a molecular epidemiologic study to test the hypothesis that ME/CFS may be an autoimmune disease (AID) and explore the link between ME/CFS and cancer, specifically hematologic malignancies.Methods: Our clinic-based study involved carefully selected cases with confirmed diagnosis of ME/CFS (n=59) and healthy controls (n=54) frequency matched to cases on age, gender and ethnicity. During structured interviews, detailed multi-generation pedigrees, epidemiologic and medical questionnaires, and biospecimen were obtained on all subjects. Statistical analysis of pedigree data involved comparison of cases and controls with respect to the prevalence and cumulative incidence of AID and cancer among their first-degree relatives. For unadjusted analysis, risk ratios, 95% confidence intervals (CI), and p-values were calculated. For age-adjusted analyses, cumulative incidence estimates were compared using the log-rank test.

Results: The prevalence of AID was significantly higher among the first-degree relatives of cases compared to those of controls (OR=5.30; 95%CI: 1.83-15.38; p=0.001). The prevalence of AID among mothers was 14% for cases and 1.9% for controls (p=0.03). 11.2% of the first-degree relatives of cases had an AID compared to 3.1% of the relatives of controls (prevalence ratio=3.71; 95% CI: 1.74-7.88; p=0.0007). The cumulative incidence of AID among the first-degree relatives of ME/CFS cases was 9.4% compared to 2.7% for those of the controls (p=0.0025). First-degree relatives of ME/CFS cases had a significantly higher prevalence of any cancer compared to the relatives of unrelated controls (OR=4.06, 95%CI: 1.84-8.96, p=0.0005). Age-adjusted analysis revealed significantly higher (p=0.03) cumulative incidence of any cancer among the first-degree relatives of cases (20%) compared to the relatives of controls (15.4%). The cumulative incidence of hematologic cancers was also significantly higher among the relatives of cases (p<0.05).

Conclusions: We found statistically significant increased risks of AID and cancer among the first-degree relatives of ME/CFS cases. Our findings implicate immune dysregulation as an underlying mechanism, providing etiologic clues and leads for prevention. Given symptomatic similarities between ‘long COVID’ and ME/CFS, it is predicted that there will be a significant increase in incidence of ME/CFS as the result of COVID-19 pandemic. Our findings may enable defining a subset of COVID-19 patients who could be at risk of developing ME/CFS, and who may benefit from treatments used for certain AIDs.

Source: Roxana Moslehi, Anil Kumar, Amiran Dzutsev. Increased risks of cancer and autoimmune disease among the first-degree relatives of patients with myalgic encephalomyelitis (ME)/chronic fatigue syndrome (CFS) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 34. https://aacrjournals.org/cancerres/article/82/12_Supplement/34/700144

 

“Long COVID” results after hospitalization for SARS-CoV-2 infection

Abstract:

Long-term sequelae of symptomatic infection caused by SARS-CoV-2 are largely undiscovered. We performed a prospective cohort study on consecutively hospitalized Sars-CoV-2 patients (March-May 2020) for evaluating COVID-19 outcomes at 6 and 12 months. After hospital discharge, patients were addressed to two follow-up pathways based on respiratory support needed during hospitalization. Outcomes were assessed by telephone consultation or ambulatory visit.

Among 471 patients, 80.9% received no respiratory support during hospitalization; 19.1% received non-invasive ventilation (NIV) or invasive mechanical ventilation (IMV). 58 patients died during hospitalization, therefore 413 were enrolled for follow-up. At 6 months, among 355 patients, the 30.3% had any symptoms, 18.0% dyspnea, 6.2% neurological symptoms. Fifty-two out of 105 had major damages in interstitial computed tomography images. NIV/IMV patients had higher probability to suffer of symptoms (aOR = 4.00, 95%CI:1.99-8.05), dyspnea (aOR = 2.80, 95%CI:1.28-6.16), neurological symptoms (aOR = 9.72, 95%CI:2.78-34.00). At 12 months, among 344, the 25.3% suffered on any symptoms, 12.2% dyspnea, 10.1% neurological symptoms. Severe interstitial lesions were present in 37 out of 47 investigated patients.

NIV/IMV patients in respect to no respiratory support, had higher probability of experiencing symptoms (aOR = 3.66, 95%CI:1.73-7.74), neurological symptoms (aOR = 8.96, 95%CI:3.22-24.90). COVID-19 patients showed prolonged sequelae up to 12 months, highlighting the need of follow-up pathways for post-COVID-19 syndrome.

Source: Rigoni M, Torri E, Nollo G, Donne LD, Rizzardo S, Lenzi L, Falzone A, Cozzio S. “Long COVID” results after hospitalization for SARS-CoV-2 infection. Sci Rep. 2022 Jun 10;12(1):9581. doi: 10.1038/s41598-022-13077-5. PMID: 35688830; PMCID: PMC9185134. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185134/ (Full text)

SARS-CoV-2 infection and persistence throughout the human body and brain

Abstract:

COVID-19 is known to cause multi-organ dysfunction1-3 in acute infection, with prolonged symptoms experienced by some patients, termed Post-Acute Sequelae of SARS-CoV-2 (PASC)4-5. However, the burden of infection outside the respiratory tract and time to viral clearance is not well characterized, particularly in the brain3,6-14.
We performed complete autopsies on 44 patients with COVID-19 to map and quantify SARS-CoV-2 distribution, replication, and cell-type specificity across the human body, including brain, from acute infection through over seven months following symptom onset. We show that SARS-CoV-2 is widely distributed, even among patients who died with asymptomatic to mild COVID-19, and that virus replication is present in multiple extrapulmonary tissues early in infection.
Further, we detected SARS-CoV-2 RNA in multiple anatomic sites, including regions throughout the brain, for up to 230 days following symptom onset. Despite extensive distribution of SARS-CoV-2 in the body, we observed a paucity of inflammation or direct viral cytopathology outside of the lungs. Our data prove that SARS-CoV-2 causes systemic infection and can persist in the body for months.
Source: Daniel Chertow, Sydney Stein, Sabrina Ramelli et al. SARS-CoV-2 infection and persistence throughout the human body and brain, 20 December 2021, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-1139035/v1] https://www.researchsquare.com/article/rs-1139035/v1 https://www.nature.com/articles/s41586-022-05542-y (Full text)