Tag: Jason

Do diagnostic criteria for ME matter to patient experience with services and interventions? Key results from an online RDS survey targeting fatigue patients in Norway

Abstract:

Public health and welfare systems request documentation on approaches to diagnose, treat, and manage myalgic encephalomyelitis and assess disability-benefit conditions. Our objective is to document ME patients’ experiences with services/interventions and assess differences between those meeting different diagnostic criteria, importantly the impact of post-exertional malaise.

We surveyed 660 fatigue patients in Norway using respondent-driven sampling and applied validated DePaul University algorithms to estimate Canadian and Fukuda criteria proxies. Patients on average perceived most interventions as having low-to-negative health effects. Responses differed significantly between sub-groups for some key interventions. The PEM score was strongly associated with the experience of most interventions. Better designed and targeted interventions are needed to prevent harm to the patient group.

The PEM score appears to be a strong determinant and adequate tool for assessing patient tolerance for certain interventions. There is no known treatment for ME, and “do-no-harm” should be a guiding principle in all practice.

Source: Kielland A, Liu J, Jason LA. Do diagnostic criteria for ME matter to patient experience with services and interventions? Key results from an online RDS survey targeting fatigue patients in Norway. J Health Psychol. 2023 Apr 28:13591053231169191. doi: 10.1177/13591053231169191. Epub ahead of print. PMID: 37114822. https://journals.sagepub.com/doi/10.1177/13591053231169191 (Full text)

Health outcomes of sensory hypersensitivities in myalgic encephalomyelitis/chronic fatigue syndrome and multiple sclerosis

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a poorly understood chronic illness with many case definitions that disagree on key symptoms, including hypersensitivities to noise and lights. The aim of the current study was to understand the prevalence rates and characteristics of these symptoms amongst people with ME/CFS and to compare them to people with another chronic illness, multiple sclerosis (MS).

International datasets consisting of 2,240 people with either ME/CFS or MS have completed the DePaul Symptom Questionnaire (DSQ) and the Short Form Health Survey Questionnaire (SF-36). Hypersensitivities to noise and lights were indicated from items on the DSQ, and participants were analyzed against DSQ and SF-36 subscales through a multivariate analysis of covariance.

There were significantly higher percentages of people with hypersensitivities in the ME/CFS sample compared to the MS sample. Regardless of illness, participants that exhibited both hypersensitivities reported greater symptomology than those without hypersensitivities. Healthcare providers and researchers should consider these symptoms when developing treatment plans and evaluating ME/CFS case diagnostic criteria.

Source: Maeda KI, Islam MF, Conroy KE, Jason L. Health outcomes of sensory hypersensitivities in myalgic encephalomyelitis/chronic fatigue syndrome and multiple sclerosis. Psychol Health Med. 2023 Mar 28:1-12. doi: 10.1080/13548506.2023.2195670. Epub ahead of print. PMID: 36977713. https://pubmed.ncbi.nlm.nih.gov/36977713/

Predictors of impaired functioning among long COVID patients

Abstract:

Background: There is limited information on what acute factors predict more long-term symptoms from COVID-19.

Objective: Our objective was to conduct an exploratory factor analysis of self-reported symptoms at two time points of Long COVID-19.

Methods: Data from patients with Long COVID-19 were collected at the initial two weeks of contracting SARS CoV-2 and the most recent two weeks, with a mean duration of 21.7 weeks between the two-time points. At time point 2, participants also complete the Coronavirus Impact Scale (CIS), measuring how the COVID-19 pandemic affected various dimensions of their lives (e.g., routine, access to medical care, social/family support, etc.).

Results: At time 1, a three-factor model emerged consisting of Cognitive Dysfunction, Autonomic Dysfunction and Gastrointestinal Dysfunction. The analysis of time 2 resulted in a three-factor model consisting of cognitive dysfunction, autonomic dysfunction, and post-exertional malaise. Using factor scores from time 1, the Autonomic Dysfunction and the Gastrointestinal Dysfunction factor scores significantly predicted the CIS summary score at time two. In addition, the same two factor scores at time 1 predicted the occurrence of myalgic encephalomyelitis/chronic fatigue syndrome at time 2.

Conclusion: As Cognitive and Autonomic Dysfunction emerged as factors for both time points, suggesting health care workers might want to pay particular attention to these factors that might be related to later symptoms and difficulties with returning to pre-illness family life and work functioning.

Source: Jason LA, Dorri JA. Predictors of impaired functioning among long COVID patients. Work. 2023 Mar 8. doi: 10.3233/WOR-220428. Epub ahead of print. PMID: 36911958. https://content.iospress.com/articles/work/wor220428 (Full text)

Adults with ME/CFS report surprisingly high rates of youth symptoms: A qualitative analysis of patient blog commentary

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic illness that impacts pediatric populations.

Objective: The current study aimed to better understand adult perceptions of their experiences leading up to their diagnosis of ME/CFS.

Method: Patients provided data regarding symptoms of ME/CFS they may have experienced during childhood through a popular community blog forum, with participants interacting via blog comments in real-time and across various geographical locations.

Results: Descriptive analyses indicated that roughly 43% of adult survey participants reported having developed ME/CFS prior to age 18. A standard content analysis of patient blog commentary revealed several themes, such as poor mental health, family pattern/history, healthy childhood preceding sick adulthood, feeling misunderstood, lack of clarity until adulthood, sharing of resources, poor school functioning, isolation/poor social supports, and coping mechanisms.

Conclusion: There are unique benefits and insights that can be used by investigators who collaborate with patient organizations as a means of better understanding ME/CFS illness severity, presentation, and lived experiences.

Source: Johnson M, Torres C, Watts-Rich H, Jason L. Adults with ME/CFS report surprisingly high rates of youth symptoms: A qualitative analysis of patient blog commentary. Work. 2023 Mar 9. doi: 10.3233/WOR-220484. Epub ahead of print. PMID: 36911960. https://content.iospress.com/articles/work/wor220484 (Full text)

Using Data Mining and Time Series to Investigate ME and CFS Naming Preferences

Abstract:

There have been numerous iterations of naming convention specified for Myalgic Encephalomyelitis (ME) and Chronic Fatigue Syndrome (CFS). As health care turns to “big data” analytics to gain insights, the Google Trends database was mined to ascertain worldwide trends of public interest in several ME- and CFS-related search categories between 2004 and 2019.
Time series analysis revealed that though “Chronic Fatigue Syndrome” remains the predominant search category in the ME and CFS field, the interest index declined at a rate of 2.77 per month during the 15-year study period. In the same time period, the interest index in “ME/CFS Hybrid” terms increased at a rate of 3.20 per month. Potential causal mechanisms for these trends and implications for patient sentiment analysis are discussed.
Source: Bhatia, S., & Jason, L. A. (2023). Using Data Mining and Time Series to Investigate ME and CFS Naming Preferences. Journal of Disability Policy Studies, 0(0). https://doi.org/10.1177/10442073231154027

An Exploratory Factor Analysis of Long Covid

Abstract:
An exploratory factor analysis (EFA) can provide a window into the latent dimensions of a disease, such as Long COVID.
Discovering the latent factors of Long COVID enables researchers and clinicians to better conceptualize, study and treat
this disease.
In this study, participants were recruited from social media sites dedicated to COVID and Long COVID. Among the 480 participants, those who completed at least 90% of the survey, reported symptoms for two or more months since COVID-19 symptom onset, and had not been hospitalized for COVID were used in the EFA. The mean duration since initial symptom onset was 74.0 (37.3) weeks.
A new questionnaire called The DePaul Symptom Questionnaire-COVID was used to assess self-reports of the frequency and severity of 38 Long COVID symptoms experienced over the most recent month. The most burdensome symptoms were “Symptoms that get worse after physical or mental activities (also known as Post-Exertional Malaise),” “Fatigue/extreme tiredness,” “Difficulty thinking and/or concentrating,” “Sleep problems,” and “Muscle aches.” The EFA resulted in a three-factor model with factors labeled General, PEM/Fatigue/Cognitive Dysfunction, and Psychological, consisting of 16, 6, and 3 items respectively (25 items in total).
The reliability of the items in the EFA was .90 using a split-half reliability test. Finally, participant self-reported level of
functional impairment was analyzed across the three EFA factors. Interpretations and applications to research and
practice are provided.
Source: Joseph A. Dorri1 and Leonard A. Jason. An exploratory factor analysis of long covid. Central Asian Journal of Medical Hypotheses and Ethics. 2/14/23 https://www.researchgate.net/publication/368502945_AN_EXPLORATORY_FACTOR_ANALYSIS_OF_LONG_COVID (Full text)

Symptom-based clusters in people with ME/CFS: an illustration of clinical variety in a cross-sectional cohort

Abstract:

Background: Myalgic encephalomyelitis (ME)/chronic fatigue syndrome (CFS) is a complex, heterogenous disease. It has been suggested that subgroups of people with ME/CFS exist, displaying a specific cluster of symptoms. Investigating symptom-based clusters may provide a better understanding of ME/CFS. Therefore, this study aimed to identify clusters in people with ME/CFS based on the frequency and severity of symptoms.

Methods: Members of the Dutch ME/CFS Foundation completed an online version of the DePaul Symptom Questionnaire version 2. Self-organizing maps (SOM) were used to generate symptom-based clusters using severity and frequency scores of the 79 measured symptoms. An extra dataset (n = 252) was used to assess the reproducibility of the symptom-based clusters.

Results: Data of 337 participants were analyzed (82% female; median (IQR) age: 55 (44–63) years). 45 clusters were identified, of which 13 clusters included ≥ 10 patients. Fatigue and PEM were reported across all of the symptom-based clusters, but the clusters were defined by a distinct pattern of symptom severity and frequency, as well as differences in clinical characteristics. 11% of the patients could not be classified into one of the 13 largest clusters. Applying the trained SOM to validation sample, resulted in a similar symptom pattern compared the Dutch dataset.

Conclusion: This study demonstrated that in ME/CFS there are subgroups of patients displaying a similar pattern of symptoms. These symptom-based clusters were confirmed in an independent ME/CFS sample. Classification of ME/CFS patients according to severity and symptom patterns might be useful to develop tailored treatment options.

Source: Vaes, A.W., Van Herck, M., Deng, Q. et al. Symptom-based clusters in people with ME/CFS: an illustration of clinical variety in a cross-sectional cohort. J Transl Med 21, 112 (2023). https://doi.org/10.1186/s12967-023-03946-6 https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-023-03946-6 (Full text)

Improvement of Long COVID symptoms over one year

Abstract:

Importance: Early and accurate diagnosis and treatment of Long COVID, clinically known as post-acute sequelae of COVID-19 (PASC), may mitigate progression to chronic diseases such as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Our objective was to determine the utility of the DePaul Symptom Questionnaire (DSQ) to assess the frequency and severity of common symptoms of ME/CFS, to diagnose and monitor symptoms in patients with PASC.

Methods: This prospective, observational cohort study enrolled 185 people that included 34 patients with PASC that had positive COVID-19 test and persistent symptoms of >3 months and 151 patients diagnosed with ME/CFS. PASC patients were followed over 1 year and responded to the DSQ at baseline and 12 months. ME/CFS patients responded to the DSQ at baseline and 1 year later. Changes in symptoms over time were analyzed using a fixed-effects model to compute difference-in-differences estimates between baseline and 1-year follow-up assessments.

Participants: Patients were defined as having PASC if they had a previous positive COVID-19 test, were experiencing symptoms of fatigue, post-exertional malaise, or other unwellness for at least 3 months, were not hospitalized for COVID-19, had no documented major medical or psychiatric diseases prior to COVID-19, and had no other active and untreated disease processes that could explain their symptoms. PASC patients were recruited in 2021. ME/CFS patients were recruited in 2017.

Results: At baseline, patients with PASC had similar symptom severity and frequency as patients with ME/CFS and satisfied ME/CFS diagnostic criteria. ME/CFS patients experienced significantly more severe unrefreshing sleep and flu-like symptoms. Five symptoms improved significantly over the course of 1 year for PASC patients including fatigue, post-exertional malaise, brain fog, irritable bowel symptoms and feeling unsteady. In contrast, there were no significant symptom improvements for ME/CFS patients.

Conclusion and relevance: There were considerable similarities between patients with PASC and ME/CFS at baseline. However, symptoms improved for PASC patients over the course of a year but not for ME/CFS patients. PASC patients with significant symptom improvement no longer met ME/CFS clinical diagnostic criteria. These findings indicate that the DSQ can be used to reliably assess and monitor PASC symptoms.

Source: Oliveira CR, Jason LA, Unutmaz D, Bateman L, Vernon SD. Improvement of Long COVID symptoms over one year. Front Med (Lausanne). 2023 Jan 9;9:1065620. doi: 10.3389/fmed.2022.1065620. PMID: 36698810; PMCID: PMC9868805. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868805/ (Full text)

Converging Evidence of Similar Symptomatology of ME/CFS and PASC Indicating Multisystemic Dyshomeostasis

Abstract:

The purpose of this article is to review the evidence of similar symptomatology of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and post-acute sequelae of SARS-CoV-2 infection (PASC).
Reanalysis of data from a study by Jason comparing symptom reports from two groups of ME/CFS and PASC patients shows a notably similar symptomatology. Symptom scores of the PASC group and the ME/CFS group correlated 0.902 (p < 0.0001) across items. The hypothesis is presented that ME/CFS and PASC are caused by a chronic state of multisystemic disequilibrium including endocrinological, immunological, and/or metabolic changes.
The hypothesis holds that a changed set point persistently pushes the organism towards a pathological dysfunctional state which fails to reset. To use an analogy of a thermostat, if the ‘off switch’ of a thermostat intermittently stops working, for periods the house would become warmer and warmer without limit. The hypothesis draws on recent investigations of the Central Homeostasis Network showing multiple interconnections between the autonomic system, central nervous system, and brain stem.
The hypothesis helps to explain the shared symptomatology of ME/CFS and PASC and the unpredictable, intermittent, and fluctuating pattern of symptoms of ME/CFS and PASC. The current theoretical approach remains speculative and requires in-depth investigation before any definite conclusions can be drawn.
Source: Marks DF. Converging Evidence of Similar Symptomatology of ME/CFS and PASC Indicating Multisystemic Dyshomeostasis. Biomedicines. 2023; 11(1):180. https://doi.org/10.3390/biomedicines11010180 https://www.mdpi.com/2227-9059/11/1/180 (Full text)

Pediatric Post-Acute Sequelae of SARS-CoV-2 infection

Abstract:

Aim: Youth who have not recovered from COVID-19 have been referred to as having Post-Acute Sequelae of SARS-CoV-2 Infection (PASC). The goal of this study was to better understand which symptoms persisted since onset of infection and how these symptoms compare to symptoms experienced by those with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).

Method: A sample of 19 parents who had a child with PASC were recruited using social media to fill out a questionnaire detailing symptoms at two time points. The first time point included their child’s current symptoms and the second captured symptoms at initial infection. These participants were compared to a sample of 19 youth with ME/CFS.

Results: Findings indicated significant decreases among several immune, neuroendocrine, pain, post-exertional malaise (PEM), and COVID-19 Centers for Disease Control and Prevention (CDC) domain symptoms from time of acute infection to time of current reporting. Fatigue remained at a high level as did several symptoms within the sleep and PEM domains. Participants with ME/CFS had overall worse symptomatology when compared to participants with PASC, especially in the neurocognitive domain.

Conclusion: Most symptoms of those with PASC decline over time, but several remain at high levels, including fatigue. These findings are helpful in better understanding common symptom presentation profiles for youth with PASC and can be used to more adequately tailor diagnostic criteria and treatment strategies for youth.

Source: Leonard A. Jason, Madeline Johnson & Chelsea Torres (2023) Pediatric Post-Acute Sequelae of SARS-CoV-2 infection, Fatigue: Biomedicine, Health & Behavior, DOI: 10.1080/21641846.2022.2162764 https://www.tandfonline.com/doi/abs/10.1080/21641846.2022.2162764