Tag: long Covid

Case Report of Improvement in Long-COVID Symptoms in an Air Force Medic Treated With Transcranial Magnetic Stimulation Using Electro-Magnetic Brain Pulse Technique

Abstract:

Long-coronavirus disease (COVID) is an ill-defined set of symptoms persisting in patients following infection with COVID-19 that range from any combination of persistent breathing difficulties to anosmia, impaired attention, memory, fatigue, or pain. Recently, noninvasive transcutaneous electrical brain stimulation techniques have been showing early signs of success in addressing some of these complaints. We postulate that the use of a stimulation technique with transcranial magnetic stimulation may also similarly be effective.

A 36-year-old male suffering from symptoms of dyspnea, anosmia, and “brain fog” for 2 years following coronavirus infection was treated with 10 sessions of Electro-Magnetic Brain Pulse (EMBP®), a personalized transcranial magnetic stimulation protocol guided by the patient’s electroencephalograph (EEG). At the conclusion of the treatment, the patient had improvements in mood, sense of smell, and brain fogging. Dyspnea also decreased with a gain of 11% forced expiratory volume 1/forced vital capacity.

A high-sensitivity athletic training cognitive test showed an overall 27% increase in aggregate score. A significant portion of this was attributed to changes in visual clarity and decision-making speed. Post-treatment EEG showed a shift from predominantly delta waves to more synchronized alpha wave patterns during the resting state. Brain stimulation techniques appear to be showing early signs of success with long-COVID symptoms.

This is the first case describing the use of a magnetic stimulation technique with quantitative test results and recorded EEG changes. Given the early success in this patient with cognition, dyspnea, and anosmia, this noninvasive treatment modality warrants further research.

Source: Zhang JX, Zhang JJ. Case Report of Improvement in Long-COVID Symptoms in an Air Force Medic Treated With Transcranial Magnetic Stimulation Using Electro-Magnetic Brain Pulse Technique. Mil Med. 2023 Jun 2:usad182. doi: 10.1093/milmed/usad182. Epub ahead of print. PMID: 37267198. https://academic.oup.com/milmed/advance-article/doi/10.1093/milmed/usad182/7189756 (Full text)

Use of latent class analysis and patient reported outcome measures to identify distinct long COVID phenotypes: A longitudinal cohort study

Abstract:

Objectives: We sought to 1) identify long COVID phenotypes based on patient reported outcome measures (PROMs) and 2) determine whether the phenotypes were associated with quality of life (QoL) and/or lung function.

Methods: This was a longitudinal cohort study of hospitalized and non-hospitalized patients from March 2020 to January 2022 that was conducted across 4 Post-COVID Recovery Clinics in British Columbia, Canada. Latent class analysis was used to identify long COVID phenotypes using baseline PROMs (fatigue, dyspnea, cough, anxiety, depression, and post-traumatic stress disorder). We then explored the association between the phenotypes and QoL (using the EuroQoL 5 dimensions visual analogue scale [EQ5D VAS]) and lung function (using the diffusing capacity of the lung for carbon monoxide [DLCO]).

Results: There were 1,344 patients enrolled in the study (mean age 51 ±15 years; 780 [58%] were females; 769 (57%) were of a non-White race). Three distinct long COVID phenotypes were identified: Class 1) fatigue and dyspnea, Class 2) anxiety and depression, and Class 3) fatigue, dyspnea, anxiety, and depression. Class 3 had a significantly lower EQ5D VAS at 3 (50±19) and 6 months (54 ± 22) compared to Classes 1 and 2 (p<0.001). The EQ5D VAS significantly improved between 3 and 6 months for Class 1 (median difference of 6.0 [95% CI, 4.0 to 8.0]) and Class 3 (median difference of 5.0 [95% CI, 0 to 8.5]). There were no differences in DLCO between the classes.

Conclusions: There were 3 distinct long COVID phenotypes with different outcomes in QoL between 3 and 6 months after symptom onset. These phenotypes suggest that long COVID is a heterogeneous condition with distinct subpopulations who may have different outcomes and warrant tailored therapeutic approaches.

Source: Wong AW, Tran KC, Binka M, Janjua NZ, Sbihi H, Russell JA, Carlsten C, Levin A, Ryerson CJ. Use of latent class analysis and patient reported outcome measures to identify distinct long COVID phenotypes: A longitudinal cohort study. PLoS One. 2023 Jun 2;18(6):e0286588. doi: 10.1371/journal.pone.0286588. PMID: 37267379; PMCID: PMC10237387. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237387/ (Full text)

Persistent serum protein signatures define an inflammatory subcategory of long COVID

Abstract:

Long COVID or post-acute sequelae of SARS-CoV-2 (PASC) is a clinical syndrome featuring diverse symptoms that can persist for months following acute SARS-CoV-2 infection. The aetiologies may include persistent inflammation, unresolved tissue damage or delayed clearance of viral protein or RNA, but the biological differences they represent are not fully understood. Here we evaluate the serum proteome in samples, longitudinally collected from 55 PASC individuals with symptoms lasting ≥60 days after onset of acute infection, in comparison to samples from symptomatically recovered SARS-CoV-2 infected and uninfected individuals.

Our analysis indicates heterogeneity in PASC and identified subsets with distinct signatures of persistent inflammation. Type II interferon signaling and canonical NF-κB signaling (particularly associated with TNF), appear to be the most differentially enriched signaling pathways, distinguishing a group of patients characterized also by a persistent neutrophil activation signature.

These findings help to clarify biological diversity within PASC, identify participants with molecular evidence of persistent inflammation, and highlight dominant pathways that may have diagnostic or therapeutic relevance, including a protein panel that we propose as having diagnostic utility for differentiating inflammatory and non-inflammatory PASC.

Source: Talla, A., Vasaikar, S.V., Szeto, G.L. et al. Persistent serum protein signatures define an inflammatory subcategory of long COVID. Nat Commun 14, 3417 (2023). https://doi.org/10.1038/s41467-023-38682-4 https://www.nature.com/articles/s41467-023-38682-4 (Full text)

New-onset type 1 diabetes in children and adolescents as postacute sequelae of SARS-CoV-2 infection: A systematic review and meta-analysis of cohort studies

Abstract:

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children and adolescents may increase risk for a variety of post-acute sequelae including new-onset type 1 diabetes mellitus (T1DM). Therefore, this meta-analysis aims to estimate the risk of developing new-onset type 1 diabetes in children and adolescents as post-acute sequelae of SARS-CoV-2 infection.

PubMed/MEDLINE, CENTRAL, and EMBASE were systematically searched up to March 20, 2023. A systematic review and subsequent meta-analyses were performed to calculate the pooled effect size, expressed as risk ratio (RR) with corresponding 95% confidence interval (CI) of each outcome based on a one-stage approach and the random-effects estimate of the pooled effect sizes of each outcome were generated with the use of the DerSimonian-Laird method. Eight reports from seven studies involving 11 220 530 participants (2 140 897 patients with a history of diagnosed SARS-CoV-2 infection and 9 079 633 participants in the respective control groups) were included. The included studies reported data from four U.S. medical claims databases covering more than 503 million patients (IQVIA, HealthVerity, TriNetX, and Cerner Real-World Data), and three national health registries for all children and adolescents in Norway, Scotland, and Denmark.

It was shown that the risk of new-onset T1DM following SARS-CoV-2 infection in children and adolescents was 42% (95% CI 13%-77%, p = 0.002) higher compared with non-COVID-19 control groups. The risk of developing new-onset T1DM following SARS-CoV-2 infection was significantly higher (67%, 95% CI 32 %-112%, p = 0.0001) in children and adolescents between 0 and 11 years, but not in those between 12 and 17 years (RR = 1.10, 95% CI 0.54-2.23, p = 0.79). We also found that the higher risk for developing new-onset T1DM following SARS-CoV-2 infection only exists in studies from the United States (RR = 1.70, 95% CI 1.37-2.11, p = 0.00001) but not Europe (RR = 1.02, 95% CI 0.67-1.55, p = 0.93). Furthermore, we found that SARS-CoV-2 infection was associated with an elevation in the risk of diabetic ketoacidosis (DKA) in children and adolescents compared with non-COVID-19 control groups (RR = 2.56, 95% CI 1.07-6.11, p = 0.03).

Our findings mainly obtained from US medical claims databases, suggest that SARS-CoV-2 infection is associated with higher risk of developing new-onset T1DM and diabetic ketoacidosis in children and adolescents. These findings highlight the need for targeted measures to raise public health practitioners and physician awareness to provide intervention strategies to reduce the risk of developing T1DM in children and adolescents who have had COVID-19.

Source: Rahmati M, Yon DK, Lee SW, Udeh R, McEVoy M, Kim MS, Gyasi RM, Oh H, López Sánchez GF, Jacob L, Li Y, Koyanagi A, Shin JI, Smith L. New-onset type 1 diabetes in children and adolescents as postacute sequelae of SARS-CoV-2 infection: A systematic review and meta-analysis of cohort studies. J Med Virol. 2023 Jun;95(6):e28833. doi: 10.1002/jmv.28833. PMID: 37264687. https://onlinelibrary.wiley.com/doi/10.1002/jmv.28833

Long COVID Clinical Phenotypes Up to Six Months After Infection Identified by Latent Class Analysis of Self-Reported Symptoms

Abstract:

Background: The prevalence, incidence, and interrelationships of persistent symptoms after SARS-CoV-2 infection (Long COVID) vary. There are limited data on specific phenotypes of persistent symptoms. Using latent class analysis (LCA) modeling, we sought to identify whether specific phenotypes of COVID-19 were present three months and six months after acute infection.

Methods: This was a multicenter, prospective study of symptomatic adults tested for SARS-CoV-2 with prospectively collected data on general symptoms and fatigue-related symptoms up to six-months post-diagnosis. Using LCA, we identified symptomatically homogenous groups among participants with COVID-19 (COVID-positive) and among others without COVID-19 (COVID-negative) at each time period for both general and fatigue-related symptoms.

Results: Among 5,963 baseline participants (4,504 COVID-positive and 1,459 COVID-negative), 4,056 had three-month and 2,856 had six-month data at the time of analysis. We identified four distinct phenotypes of post-COVID conditions at three- and six-months for both general and fatigue-related symptoms; minimal symptom groups represented 70% of participants at three and six months. When compared with the COVID-negative cohort, COVID-positive participants had higher occurrence of loss of taste and smell, as well cognition problems. There was substantial class-switching over time; those in one symptom class at three months were equally likely to remain or enter a new phenotype at six months.

Conclusions: We identified distinct classes of post-COVID phenotypes for general and fatigue-related symptoms. Most participants had minimal or no symptoms at three and six months follow-up. Significant proportions of participants changed symptom groups over time, suggesting that symptoms present during the acute illness may differ from prolonged symptoms and that post-COVID conditions may have a more dynamic nature than previously recognized.

Source: Michael Gottlieb, MD and others, Long COVID Clinical Phenotypes Up to Six Months After Infection Identified by Latent Class Analysis of Self-Reported Symptoms, Open Forum Infectious Diseases, 2023;, ofad277, https://doi.org/10.1093/ofid/ofad277 (Full text available as PDF file)

The relevance of pacing strategies in managing symptoms of post-COVID-19 syndrome

Abstract:

Background: Post-COVID-19 syndrome (PCS) shares many features with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). PCS represents a major health issue worldwide because it severely impacts patients’ work activities and their quality of life. In the absence of treatment for both conditions and given the beneficial effect of pacing strategies in ME/CFS, we conducted this study to assess the effectiveness of pacing in PCS patients.

Methods: We retrospectively included patients meeting the World Health Organization definition of PCS who attended the Internal Medicine Department of Angers University Hospital, France between June 2020 and June 2022, and were followed up until December 2022. Pacing strategies were systematically proposed for all patients. Their medical records were reviewed and data related to baseline and follow-up assessments were collected. This included epidemiological characteristics, COVID-19 symptoms and associated conditions, fatigue features, perceived health status, employment activity, and the degree of pacing adherence assessed by the engagement in pacing subscale (EPS). Recovery was defined as the ability to return to work, and improvement was regarded as the reduction of the number and severity of symptoms.

Results: A total of 86 patients were included and followed-up for a median time of 10 [6-13] months. Recovery and improvement rates were 33.7% and 23.3%, respectively. The EPS score was the only variable significantly associated with recovery on multivariate analysis (OR 40.43 [95% CI 6.22-262.6], p < 0.001). Patients who better adhered to pacing (high EPS scores) experienced significantly higher recovery and improvement rates (60-33.3% respectively) than those with low (5.5-5.5% respectively), or moderate (4.3-17.4% respectively) scores.

Conclusion: Our findings demonstrated that pacing is effective in the management of patients with PCS, and that high levels of adherence to pacing are associated with better outcomes.

Source: Ghali A, Lacombe V, Ravaiau C, Delattre E, Ghali M, Urbanski G, Lavigne C. The relevance of pacing strategies in managing symptoms of post-COVID-19 syndrome. J Transl Med. 2023 Jun 8;21(1):375. doi: 10.1186/s12967-023-04229-w. PMID: 37291581; PMCID: PMC10248991. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248991/ (Full text)

Analysis of tumor progression among patients with glioma after COVID-19 infection

Background: As of January 2023, there have been 6.7 million worldwide deaths attributed to SARS-CoV-2 COVID-19, which has impacted outcomes and medical care for all patients. Relatively little is known about the direct effects mediated by the virus on CNS tumor biology, despite the fact that viral neurotropism is well described, various coronavirus receptors have been observed in glioblastoma (GBM) tissues, and differential monocytic infiltration has been proposed to dysregulate the immune microenvironment. We detected a trend of rapid progression following COVID-19 infection among several patients with primary brain tumor patients and sought to systematically evaluate the pace of progression among infected patients in our institution.

Methods: A single-institutional database of COVID-19 patients and an electronic medical record (EMR) search tool were used to identify a total cohort of 67 patients with glioma for retrospective analysis. This included 38 GBMs, 18 IDH-mutant gliomas, 5 ependymomas, 2 pilocytic astrocytomas, 1 diffuse midline glioma, 1 diffuse hemispheric glioma, and 1 ganglioglioma patients, each of whom had a documented COVID-19 infection between June 2020-December 2022. Hyperprogression was defined as tumor increase ≥40% compared to previous scan using RECIST size criteria.

Results: Thirty-nine (58%) patients experienced tumor progression following COVID-19 infection at a median of 34 days (range=1-734 days) after testing positive for COVID-19. Twenty-two (56%) had received COVID-19 vaccine before their infection and 5 (13%) had asymptomatic infections. Twenty-two patients had measurably increased tumor area by a median of 63% (range=10-2,900%), 18 of which constituted hyperprogression;16 patients developed multifocal disease, 8 developed new nodular enhancement, 3 developed leptomeningeal disease (LMD), and 2 experienced increased infiltrative disease alone. Ten patients’ presentation with new glioma was preceded by COVID-19 infection by a median of 31 days. GBM patients represented the majority of progression events, among whom 59% progressed within 60 days of documented infection (median 25 days). This subgroup of GBM with rapid progression within 60 days had a mOS from infection of 5.2 months; 89% had TERT promotor mutations and 42% had MGMT promoter methylation.

Conclusions: Glioma patients appear to have disease progression at an accelerated pace in the first two months after COVID-19 infection. This suggests that glioma patients should continue observing strict precautions to prevent infection and should be clinically monitored vigilantly after infection, with consideration for short interval imaging during treatment. These preliminary data warrant further investigation exploring changes of immune cell infiltration in the tumor microenvironment and the possible correlation between tumor progression and COVID-19.

Source: Tim Gregory, Stephanie Knight, Ashley Aaroe, Barbara Jane O’Brien, Chirag B Patel, Shiao-Pei S. Weathers, Nazanin Majd, Vinay K. Puduvalli, and Carlos Kamiya-Matsuoka. Analysis of tumor progression among patients with glioma after COVID-19 infection.
Journal of Clinical Oncology 2023 41:16_suppl, 2041-2041 https://ascopubs.org/action/showCitFormats?doi=10.1200/JCO.2023.41.16_suppl.2041

Long-COVID: A Chronic Fatigue Condition: Case Report

Abstract:

For the growing number of patients suffering from post-COVID-19 syndrome, there is little definitive guidance for treatment protocols or prognosis. Neurologic manifestations following acute COVID-19 infection are continually surfacing in the literature, with fatigue being the most common persistent symptom.

This case study follows a 44-year-old female experiencing debilitating fatigue and neurologic symptoms persisting after the resolution of an acute SARS-COV-2 infection. The complex medical history of this patient, including past Epstein-Barr Virus (EBV) infection and Myalgic Encephalomyelitis, commonly known as Chronic Fatigue Syndrome, suggests a potential predisposition for the development of neurologic long-COVID.

Through investigation of current research and treatment responses, this case report aims to gain an understanding of the complicated nature of this illness, and to propose treatments that address this specific subset of post-acute SARS-COV-2 sequelae.

Source: Lavelle , M., & Brusewitz , N. D. J. (2023). Long-COVID: A Chronic Fatigue Condition: Case Report. Journal of Complementary and Alternative Medical Research, 22(3), 1–7. https://doi.org/10.9734/jocamr/2023/v22i3457 http://stmlibrary.uk/id/eprint/2217/1/Lavelle2232023JOCAMR100443.pdf (Full text)

SARS-CoV-2 infection and viral fusogens cause neuronal and glial fusion that compromises neuronal activity

Abstract:

Numerous viruses use specialized surface molecules called fusogens to enter host cells. Many of these viruses, including the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), can infect the brain and are associated with severe neurological symptoms through poorly understood mechanisms.

We show that SARS-CoV-2 infection induces fusion between neurons and between neurons and glia in mouse and human brain organoids. We reveal that this is caused by the viral fusogen, as it is fully mimicked by the expression of the SARS-CoV-2 spike (S) protein or the unrelated fusogen p15 from the baboon orthoreovirus.

We demonstrate that neuronal fusion is a progressive event, leads to the formation of multicellular syncytia, and causes the spread of large molecules and organelles. Last, using Ca2+ imaging, we show that fusion severely compromises neuronal activity. These results provide mechanistic insights into how SARS-CoV-2 and other viruses affect the nervous system, alter its function, and cause neuropathology.

Source: Ramón Martínez-Mármol et al, SARS-CoV-2 infection and viral fusogens cause neuronal and glial fusion that compromises neuronal activity., Science Advances (2023). DOI: 10.1126/sciadv.adg2248. www.science.org/doi/10.1126/sciadv.adg2248 (Full text)