Tag: long covid vs ME/CFS

Machine learning algorithms for detection of visuomotor neural control differences in individuals with PASC and ME

Abstract:

The COVID-19 pandemic has affected millions worldwide, giving rise to long-term symptoms known as post-acute sequelae of SARS-CoV-2 (PASC) infection, colloquially referred to as long COVID. With an increasing number of people experiencing these symptoms, early intervention is crucial. In this study, we introduce a novel method to detect the likelihood of PASC or Myalgic Encephalomyelitis (ME) using a wearable four-channel headband that collects Electroencephalogram (EEG) data. The raw EEG signals are processed using Continuous Wavelet Transform (CWT) to form a spectrogram-like matrix, which serves as input for various machine learning and deep learning models. We employ models such as CONVLSTM (Convolutional Long Short-Term Memory), CNN-LSTM, and Bi-LSTM (Bidirectional Long short-term memory). Additionally, we test the dataset on traditional machine learning models for comparative analysis.

Our results show that the best-performing model, CNN-LSTM, achieved an accuracy of 83%. In addition to the original spectrogram data, we generated synthetic spectrograms using Wasserstein Generative Adversarial Networks (WGANs) to augment our dataset. These synthetic spectrograms contributed to the training phase, addressing challenges such as limited data volume and patient privacy. Impressively, the model trained on synthetic data achieved an average accuracy of 93%, significantly outperforming the original model.

These results demonstrate the feasibility and effectiveness of our proposed method in detecting the effects of PASC and ME, paving the way for early identification and management of the condition. The proposed approach holds significant potential for various practical applications, particularly in the clinical domain. It can be utilized for evaluating the current condition of individuals with PASC or ME, and monitoring the recovery process of those with PASC, or the efficacy of any interventions in the PASC and ME populations. By implementing this technique, healthcare professionals can facilitate more effective management of chronic PASC or ME effects, ensuring timely intervention and improving the quality of life for those experiencing these conditions.

Source: Harit Ahuja, Smriti Badhwar, Heather Edgell, Lauren E. Sergio, Marin Litoiu. Machine learning algorithms for detection of visuomotor neural control differences in individuals with PASC and ME. Front. Hum. Neurosci. Sec. Brain-Computer Interfaces, Volume 18 – 2024 | doi: 10.3389/fnhum.2024.1359162 https://www.frontiersin.org/articles/10.3389/fnhum.2024.1359162/full (Full text)

Attenuating Post-exertional Malaise in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long-COVID: Is Blood Lactate Monitoring the Answer?

Highlights:

  • Lactate monitoring has the potential to extend beyond applied sports settings and could be used to monitor the physiologic and pathophysiological responses to external and internal stimuli in chronic disease areas such as Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Post-Covid syndrome or Long Covid.
  • It is applicable due to the recurrent, episodic and often disabling post-exertional symptom exacerbation (PESE) otherwise referred to as post-exertional malaise (PEM) which is a characteristic symptom of ME/CFS and Long Covid that can last for days and/or weeks.
  • Lactate monitoring presents an opportunity to support those living with ME/CFS and Long COVID, by allowing patients and practitioners to determine the intensity and anaerobic contribution to everyday tasks which could aid the development of pacing strategies that prevent PEM/PESE.

Source: Faghy PMA, Ashton DRE, McNeils MR, Arena R, Duncan DR. Attenuating Post-exertional Malaise in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long-COVID: Is Blood Lactate Monitoring the Answer? Curr Probl Cardiol. 2024 Mar 30:102554. doi: 10.1016/j.cpcardiol.2024.102554. Epub ahead of print. PMID: 38561114. https://www.sciencedirect.com/science/article/abs/pii/S0146280624001932

Health outcomes for Long COVID are comparable with ME/CFS

Press Release: Griffith News

People with Long COVID in Australia have poor health outcomes that are comparable with another emerging disease known as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), new Griffith University research has discovered.

PhD student Breanna Weigel from Griffith’s National Centre for Neuroimmunology and Emerging Diseases (NCNED) will be presenting the findings in Singapore this month at the International Public Health Conference.

Ms Weigel said the study found people with Long COVID have the same health outcomes as ME/CFS over a 12-month period.

“Quality of life and disability scores were significantly poorer for both Long COVID and ME/CFS when compared with healthy people,” she said.

“However, there were no differences between ME/CFS and Long COVID groups which indicates considerable reductions in functional capacity and health and well-being among people living with these illnesses.”

The research found only a few differences in more than 25 different symptoms between Long COVID and ME/CFS participants.

Importantly, both ME/CFS and Long COVID groups had comparable prevalence with the severity of their illness.

Both groups over time had the same symptom presentation of significantly impaired cognition, mobility, bodily pain, and post-exertional malaise (PEM) which means symptoms get worse after physical or mental activity.

PEM is very disabling and causes changes in symptoms and a further reduction in ability to do everyday activities.

Director of the NCNED, Professor Sonya Marshall-Gradisnik, said: “This research highlighted the continued impact of Long COVID on peoples’ lives, which is especially poignant as today we recognise International Long COVID Awareness Day.”

“The research forms one of many Long COVID investigations and clinical trials being undertaken at the national centre where it is hoped these findings will provide pathways for those with Long COVID.

“We are uniquely positioned nationally as we are the only centre to undertake scientific laboratory and MRI research in Long COVID and ME/CFS in tandem, and monitor the health and economic impact of the patients.

“At the national centre we also undertake clinical trials and contribute to best practice guidelines such as the recently published guidelines in the British Medical Journal for ME.”

Dr Natalie Eaton-Fitch, who was an undergraduate student at Griffith University and is now an emerging researcher at the NCNED said: “Researchers are very fortunate to have wonderful opportunities at all stages of their careers and to know research can make a real-world difference for people.”

Ms Weigel’s work builds upon the Issues Brief she did in collaboration with the Deeble Institute that reported how patient experiences can guide the development of Long COVID health policy.

 

Unravelling shared mechanisms: insights from recent ME/CFS research to illuminate long COVID pathologies

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic illness often triggered by an initiating acute event, mainly viral infections. The transition from acute to chronic disease remains unknown, but interest in this phenomenon has escalated since the COVID-19 pandemic and the post-COVID-19 illness, termed ‘long COVID’ (LC). Both ME/CFS and LC share many clinical similarities.

Here, we present recent findings in ME/CFS research focussing on proposed disease pathologies shared with LC. Understanding these disease pathologies and how they influence each other is key to developing effective therapeutics and diagnostic tests. Given that ME/CFS typically has a longer disease duration compared with LC, with symptoms and pathologies evolving over time, ME/CFS may provide insights into the future progression of LC.

Source: Annesley SJ, Missailidis D, Heng B, Josev EK, Armstrong CW. Unravelling shared mechanisms: insights from recent ME/CFS research to illuminate long COVID pathologies. Trends Mol Med. 2024 Mar 4:S1471-4914(24)00028-5. doi: 10.1016/j.molmed.2024.02.003. Epub ahead of print. PMID: 38443223. https://www.sciencedirect.com/science/article/pii/S1471491424000285 (Full text)

People with Long Covid and ME/CFS Exhibit Similarly Impaired Dexterity and Bimanual Coordination: A Case-Case-Control Study

Abstract:

Purpose: Dexterity and bimanual coordination had not previously been compared between people with long COVID and people with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). Therefore, this study determined dexterity and bimanual coordination in people with long COVID (∼16 month illness duration; n=21) and ME/CFS (∼16 year illness duration; n=20), versus age-matched healthy controls (n=20).

Methods: Dexterity, and bimanual coordination was determined using the Purdue pegboard test.

Results: The main findings of the present investigation were that people with ME/CFS and people with long COVID were generally comparable for Purdue pegboard tests (p>0.556 and d<0.36 for pairwise comparisons). It is worth noting however, that both these patient groups performed poorer in the Perdue pegboard test than healthy controls (p<0.169 and d>0.40 for pairwise comparisons).

Conclusions: These data suggest that both people with long COVID and people with ME/CFS have similarly impaired dexterity, and bimanual coordination. Therefore, there is an urgent need for interventions to target dexterity and bimanual coordination in people with ME/CFS, and given the current pandemic, people with long COVID.

Source: Sanal-Hayes NEM, Hayes LD, Mclaughlin M, Berry ECJ, Sculthorpe NF. People with Long Covid and ME/CFS Exhibit Similarly Impaired Dexterity and Bimanual Coordination: A Case-Case-Control Study. Am J Med. 2024 Feb 23:S0002-9343(24)00091-3. doi: 10.1016/j.amjmed.2024.02.003. Epub ahead of print. PMID: 38403179. https://www.amjmed.com/article/S0002-9343(24)00091-3/fulltext (Full text)

A pilot study on the immune cell proteome of long COVID patients shows changes to physiological pathways similar to those in myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Of those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), ~ 10% develop the chronic post-viral debilitating condition, long COVID (LC). Although LC is a heterogeneous condition, about half of cases have typical post-viral fatigue with onset and symptoms that are very similar to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). A key question is whether these conditions are closely related. ME/CFS is a post-stressor fatigue condition that arises from multiple triggers.

To investigate the pathophysiology of LC, a pilot study of patients (n = 6) and healthy controls (n = 5) has used quantitative proteomics to discover changes in peripheral blood mononuclear cell (PBMC) proteins. A principal component analysis separated all long COVID patients from healthy controls. Analysis of 3131 proteins identified 162 proteins differentially regulated, of which 37 were related to immune functions, and 21 to mitochondrial functions.

Markov cluster analysis identified clusters involved in immune system processes, and two aspects of gene expression-spliceosome and transcription. These results were compared with an earlier dataset of 346 differentially regulated proteins in PBMC’s from ME/CFS patients (n = 9) analysed by the same methodology. There were overlapping protein clusters and enriched molecular pathways particularly in immune functions, suggesting the two conditions have similar immune pathophysiology as a prominent feature, and mitochondrial functions involved in energy production were affected in both conditions.

Source: Peppercorn, K., Edgar, C.D., Kleffmann, T. et al. A pilot study on the immune cell proteome of long COVID patients shows changes to physiological pathways similar to those in myalgic encephalomyelitis/chronic fatigue syndrome. Sci Rep 13, 22068 (2023). https://doi.org/10.1038/s41598-023-49402-9 https://www.nature.com/articles/s41598-023-49402-9 (Full text)

Fatigue and symptom-based clusters in post COVID-19 patients: a multicentre, prospective, observational cohort study

Abstract:

Background: In the Netherlands, the prevalence of post COVID-19 condition is estimated at 12.7% at 90-150 days after SARS-CoV-2 infection. This study aimed to determine the occurrence of fatigue and other symptoms, to assess how many patients meet the Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) criteria, to identify symptom-based clusters within the P4O2 COVID-19 cohort and to compare these clusters with clusters in a ME/CFS cohort.

Methods: In this multicentre, prospective, observational cohort in the Netherlands, 95 post COVID-19 patients aged 40-65 years were included. Data collection at 3-6 months after infection included demographics, medical history, questionnaires, and a medical examination. Follow-up assessments occurred 9-12 months later, where the same data were collected. Fatigue was determined with the Fatigue Severity Scale (FSS), a score of ≥ 4 means moderate to high fatigue. The frequency and severity of other symptoms and the percentage of patients that meet the ME/CFS criteria were assessed using the DePaul Symptom Questionnaire-2 (DSQ-2). A self-organizing map was used to visualize the clustering of patients based on severity and frequency of 79 symptoms. In a previous study, 337 Dutch ME/CFS patients were clustered based on their symptom scores. The symptom scores of post COVID-19 patients were applied to these clusters to examine whether the same or different clusters were found.

Results: According to the FSS, fatigue was reported by 75.9% of the patients at 3-6 months after infection and by 57.1% of the patients 9-12 months later. Post-exertional malaise, sleep disturbances, pain, and neurocognitive symptoms were also frequently reported, according to the DSQ-2. Over half of the patients (52.7%) met the Fukuda criteria for ME/CFS, while fewer patients met other ME/CFS definitions. Clustering revealed specific symptom patterns and showed that post COVID-19 patients occurred in 11 of the clusters that have been observed in the ME/CFS cohort, where 2 clusters had > 10 patients.

Conclusions: This study shows persistent fatigue and diverse symptomatology in post COVID-19 patients, up to 12-18 months after SARS-CoV-2 infection. Clustering showed that post COVID-19 patients occurred in 11 of the clusters that have been observed in the ME/CFS cohort.

Source: Cornelissen MEB, Bloemsma LD, Vaes AW, Baalbaki N, Deng Q, Beijers RJHCG, Noij LCE, Houweling L, Bazdar S, Spruit MA, Maitland-van der Zee AH; on behalf of the P4O2 Consortium. Fatigue and symptom-based clusters in post COVID-19 patients: a multicentre, prospective, observational cohort study. J Transl Med. 2024 Feb 21;22(1):191. doi: 10.1186/s12967-024-04979-1. PMID: 38383493. https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-024-04979-1 (Full text)

Chronic fatigue syndrome: number of patients is expected to double due to long-term effects of the COVID-19 pandemic

Press Release:

Up to 80,000 people in Austria are estimated to suffer from chronic fatigue syndrome, also known as ME/CFS or myalgic encephalomyelitis/chronic fatigue syndrome. The number of ME/CFS patients is expected to rise drastically due to long-term effects of the COVID-19 pandemic. However, research in the field has neither identified mechanisms of disease onset nor causal treatment approaches. Scientists at MedUni Vienna have now identified possible biomarkers that could improve the diagnosis and treatment of long-lasting and debilitating fatigue. The study has recently been published in the Journal of Clinical Medicine.

The study by Eva Untersmayr-Elsenhuber and her team from MedUni Vienna’s Center for Pathophysiology, Infectiology and Immunology builds on earlier research on immune disorders and the intestinal barrier function in patients with ME/CFS. It is well known that ME/CFS patients often differ greatly in the clinical manifestations of their disease. However, despite intensive research, there is still no measurable parameter (biomarker) that clearly indicates the disease.

As the MedUni Vienna research team shows, ME/CFS patients can be divided into subgroups based on the function of their immune system. The study was able to identify various biomarkers in the patients that indicate immune system disorders or reduced intestinal barrier function. As a result, differences relevant to clinical care were identified in ME/CFS patients that would have remained undetected without the previous immunological stratification of the ME/CFS patient group. “In our study, we see that the immunological evaluation of ME/CFS patients is of crucial importance. Patients suffering from immunodeficiencies are characterised by an altered innate immune function. In ME/CFS patients with an intact immune system, the intestinal barrier function was reduced,” explains the study’s principal investigator Eva Untersmayr-Elsenhuber. According to the researchers, this not only provides a more detailed insight in different disease mechanisms, but also indicates that depending on the patient’s immune competence, some treatment approaches might be more suitable than others.

The next step will be to review the study results on a larger scale. In order to advance research in the field, the first ME/CFS Biobank in Austria is currently being set up at MedUni Vienna with the support of the WE&ME Foundation. “ME/CFS Biobank Austria” collects human samples, which will be made available for future research projects. Untersmayr-Elsenhuber: “To ensure that ME/CFS research can take place quickly and transnationally in the future, we have been coordinating with research groups in the UK, the Netherlands and Germany from the outset.”

25 per cent of those affected are bedridden

ME/CFS is a severe multisystemic disease that often leads to a high degree of disability. 60 per cent of patients are unable to work full-time and 25 per cent are bedridden. The exact causes of the disease are still unclear. As diagnosis is difficult due to the lack of biomarkers, the number of people affected cannot be precisely quantified. According to current studies, between 26,000 and 80,000 people in Austria suffer from chronic fatigue. Due to Covid-19, this number could double in the next few years. The links between infection with SARS-CoV-2 and ME/CFS are also the subject of intensive research.

JOURNAL

Journal of Clinical Medicine

DOI

10.3390/jcm13010275 

ARTICLE TITLE

Immunological Patient Stratification in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

ARTICLE PUBLICATION DATE

3-Jan-2024

Inheriting discriminatory socio-political landscapes as ‘undeserving’ disabled people: The legacy of common health problems and the future for long COVID

Abstract:

The UK government’s recent announcement that the highly controversial Work Capability Assessment (WCA) will likely be abolished leaves questions of what precisely will emerge in its place. This commentary revisits a construct central to the attempted justification of the WCA, that of ‘common health problems’, which may well continue to leave a legacy in delineating purported ‘deserving’ and ‘undeserving’ impairment, ill-health and related disability. After outlining the politically strategic application of this construct in social policy, concerns are raised for long Covid. In particular, the risk of long Covid following the trajectory of another post-infection diagnosis, myalgic encephalomyelitis / chronic fatigue syndrome, is discussed.
Source: Hunt, J. (2024). Inheriting discriminatory  socio-political landscapes as ‘undeserving’ disabled people: The legacy of common health problems and the future for long COVID. Critical Social Policy, 0(0). https://doi.org/10.1177/02610183241229050 https://journals.sagepub.com/doi/10.1177/02610183241229050 (Full text)

Repeated Hand Grip Strength is an Objective Marker for Disability and Severity of Key Symptoms in Post-COVID ME/CFS

Abstract:

Post-COVID Syndrome (PCS) refers to a diverse array of symptoms that persist beyond 3 months of the acute phase of a SARS-CoV-2 infection. The most frequent symptom is fatigue, which can manifest both mentally and physically. In this study, handgrip strength (HGS) parameters were determined as an objective measure of muscle fatigue and fatigability. HGS parameters were correlated with other frequent symptoms among 144 female PCS patients suffering from fatigue, exertional intolerance, and cognitive impairment.

Seventy-eight patients met the Canadian Consensus Criteria (CCC) for post-infectious myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The severity of disability and key symptoms were evaluated utilizing self-reported questionnaires.

Notably, patients diagnosed with ME/CFS exhibited a higher overall severity of symptoms, including lower physical function (p < 0.001), a greater degree of disability (p < 0.001), more severe fatigue (p < 0.001), post-exertional malaise (p < 0.001), and autonomic dysfunction (p = 0.004). While HGS was similarly impaired in both PCS and ME/CFS patients, the associations between HGS and the severity of symptoms and disability revealed striking differences.

We observed significant correlations of HGS parameters with physical function across all patients, but with the key symptoms PEM, fatigue, cognitive impairment, and autonomic dysfunction in ME/CFS patients only. This points to a common mechanism for these symptoms in the ME/CFS subtype, distinct from that in other types of PCS. Further HGS provides an objective marker of disease severity in ME/CFS.

Source: Anna Paffrath, Laura Kim, Claudia Kedor, Elisa Stein, Rebekka Rust, Helma Freitag, Uta Hoppmann, Leif G Hanitsch, Judith Bellmann-Strobl, Kirsten Wittke, Carmen Scheibenbogen, Franziska Sotzny. Repeated Hand Grip Strength is an Objective Marker for Disability and Severity of Key Symptoms in Post-COVID ME/CFS.
medRxiv 2024.01.25.24301776;  https://www.medrxiv.org/content/10.1101/2024.01.25.24301776v1 (Full text available as PDF file)