Epidemiology of Myalgic Encephalomyelitis among individuals with self-reported Chronic Fatigue Syndrome in British Columbia, Canada, and their health-related quality of life

Abstract:

Background: There is no accurate data on the epidemiology of Myalgic Encephalomyelitis/ Chronic Fatigue Syndrome (ME/CFS) in Canada. The aims of the study were to describe the epidemiology of confirmed ME/CFS cases and their health-related quality of life (HRQoL).

Methods: This is a cross-sectional study with British Columbia Generations Project (BCGP) participants who self-reported having CFS and population-based controls with no fatiguing illness. Participants completed the Symptoms Assessment Questionnaire, RAND 36-item Health Survey, and Phenotyping Questionnaire Short-form. These assessments enabled the identification and characterization of confirmed cases of ME/CFS. Those with self-reported diagnoses who did not meet study diagnosis of ME/CFS were subcategorized as non-ME/CFS cases.

Results: We included 187 participants, 45.5% (n=85) self-reported cases and 54.5% (n=102) controls; 34% (n=29) of those who self-reported ME/CFS fulfilled diagnostic criteria for ME/CFS. The population prevalence rates were 1.1% and 0.4% for self-reported and confirmed ME/CFS cases respectively. Participants displayed significantly lower scores in all eight SF-36 domains compared to the other groups. Mental component scores were similar between ME/CFS and non-ME/CFS groups. The main risk factor for low HRQoL scores was fatigue severity (β = -0.6, p<0.001 for physical health; β = -0.7, p<0.001 for mental health).

Conclusions: The majority of self-reported cases do not meet diagnostic criteria for ME/CFS, suggesting that self-reported CFS may not be a reliable indicator for a true ME/CFS diagnosis. HRQoL indicators were consistently lower in ME/CFS and non-ME/CFS cases compared to controls, with ME/CFS cases having lower scores in most domains. Having higher symptom severity scores and perceived poorer health were the significant affecting factors of lower HRQoL. Although self-report can be used as screening to identify cases in populations, we suggest studies of ME/CFS should include appropriate medically confirmed clinical diagnosis for validity. Further large-scale population-based studies with simultaneous medical assessment are suggested to further characterize validity parameters of self-reported diagnosis.

Source:Enkhzaya Chuluunbaatar-LussierMelody TsaiTravis BoulterCarola MunozKathleen KerrLuis Nacul. Epidemiology of Myalgic Encephalomyelitis among individuals with self-reported Chronic Fatigue Syndrome in British Columbia, Canada, and their health-related quality of life. 

Predictors of Chronic Fatigue Syndrome and Mood Disturbance After Acute Infection

Abstract:

Prospective cohort studies following individuals from acute infections have documented a prevalent post-infective fatigue state meeting diagnostic criteria for chronic fatigue syndrome (CFS) – that is, a post-infective fatigue syndrome (PIFS). The Dubbo Infection Outcomes Study (DIOS) was a prospective cohort following individuals from acute infection with Epstein-Barr virus (EBV), Ross River virus (RRV), or Q fever through to assessment of caseness for CFS designated by physician and psychiatrist assessments at 6 months. Previous studies in DIOS have revealed that functional genetic polymorphisms in both immunological (pro- and anti-inflammatory cytokines) and neurological (the purinergic receptor, P2X7) genes are associated with both the severity of the acute infection and subsequent prolonged illness.

Principal components analysis was applied to self-report data from DIOS to describe the severity and course of both the overall illness and concurrent mood disturbance. Associations between demographics and acute infection characteristics, with prolonged illness course as well as the PIFS outcome were examined using multivariable statistics. Genetic haplotype-driven functional variations in the neuropeptide Y (NPY) gene previously shown to be associated with brain responses to stress, and to trait anxiety were also examined as predictors.

The sample included 484 subjects (51% female, median age 32, IQR 19-44), of whom 90 (19%) met diagnostic criteria for CFS at 6 months. Participants with greater overall illness severity and concurrent mood disturbance in the acute illness had a more prolonged illness severity (HR = 0.39, 95% CI: 0.34-0.46, p < 0.001) and mood disturbance (HR = 0.36, 95% CI: 0.30-0.42, p < 0.001), respectively. Baseline illness severity and RRV infection were associated with delayed recovery.

Female gender and mood disturbance in the acute illness were associated with prolonged mood disturbance. Logistic regression showed that the odds of an individual being diagnosed with PIFS increased with greater baseline illness severity (OR = 2.24, 95% CI: 1.71-2.94, p < 0.001). There was no association between the NPY haplotypes with overall illness severity or mood disturbance either during the acute illness phase or with prolonged illness (p > 0.05). Severe acute infective illnesses predicted prolonged illness, prolonged mood disturbance and PIFS. These factors may facilitate early intervention to manage both PIFS and mood disturbances.

Source: Sandler CX, Cvejic E, Valencia BM, Li H, Hickie IB, Lloyd AR. Predictors of Chronic Fatigue Syndrome and Mood Disturbance After Acute Infection. Front Neurol. 2022 Jul 25;13:935442. doi: 10.3389/fneur.2022.935442. PMID: 35959390; PMCID: PMC9359311. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359311/ (Full text)

The epidemiology of post viral fatigue syndrome

Abstract:

The epidemiology of the post viral fatigue syndrome was studied for the years 1985-86. With a strict definition of the syndrome, it was found that there were many misconceptions about this illness. The sex incidence was nearly equal with a similar pattern of twin peaks at 25-29 years and 40-45 years. At diagnosis, 56% were ill for three to six months and only 9% for more than two years. It is estimated that this syndrome is more common than infectious mononucleosis.

Source: Ho-Yen DO. The epidemiology of post viral fatigue syndrome. Scott Med J. 1988 Dec;33(6):368-9. doi: 10.1177/003693308803300607. PMID: 2854300. https://pubmed.ncbi.nlm.nih.gov/2854300/

Post-infectious disease syndrome

Abstract:

Many post-infectious syndromes have been recognized in the last 50 years, some following viral infections and others closely related to bacterial disease. The occurrence of prolonged fatigue following an apparent viral illness of varying severity is also well documented. The lack of a recognizable precipitating cause and the tendency for epidemic fatigue to occur among hospital staff led many to believe that the illness may be psychogenic in origin. However, there is serological evidence that some cases may follow enterovirus infections or occasionally delayed convalescence from infectious mononucleosis. Much interesting work is currently in progress relating fatigue to persisting immunological abnormalities, and the development of molecular immunology makes this a most exciting field of research. This paper reviews the evidence for and against a definitive post-viral fatigue syndrome and examines the results of research carried out in the last 50 years.

Source: Bannister BA. Post-infectious disease syndrome. Postgrad Med J. 1988 Jul;64(753):559-67. doi: 10.1136/pgmj.64.753.559. PMID: 3074289; PMCID: PMC2428896.  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2428896/ (Full text)

Pale rider: the Spanish flu of 1918 and how it changed the world

Book Review:

Pale rider: The Spanish Flu of 1918 and How it Changed the World by Laura Spinney, Public Affairs; 1st edition (September 12, 2017)

Formerly Professor of Psychiatry, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India

The COVID-19 pandemic has changed life for humanity, nothing is “normal” anymore! In the last 100 years, there has not been any similar event. The common feeling among professionals, planners, press, politicians, and people is that “life will not be the same as we knew it, after the pandemic.” Understanding the likely impact of the pandemic and its consequences would be valuable to humanity in general and mental health professionals in particular. Against this current world-shaking event, it is natural to look for similar events in human history. In this, the 1918 flu is the closest event to understand a variety of aspects of the current pandemic. The book, Pale Rider: The Spanish Flu of 1918 and how it changed the world, is one of the best books in this field.[1] That many people are looking at the 1918 flu can be seen by the number of articles in the lay press that have focused on the 1918 flu.[2],[3],[4],[5],[6],[7] Even now, a new book was published as latest as July 23, 2020.[8],[9]

Nevertheless, the book, under review, has 21 chapters with attractive chapter titles such as Like a Thief in the Night; The Doctor’s Dilemma; The Wrath of God; Chalking Doors with Crosses; Good Samaritans; The Human Factor; The Green Shoots of Recovery; Alternate Histories; and Health Care for all and Melancholy Muse.

Between the first case recorded on March 4, 1918, and the last case sometime in March 1920, it killed 50–100 million people, or between 2.5% and 5% of the global population. In terms of a single event causing major loss of life, it surpassed the First World War (17 million dead) and the Second World War (60 million dead). India was specially affected and lost around 6% of its population, the greatest loss in absolute numbers of any country in the world (an estimate of 13–18 million). The book has a special focus on India,[1] presented through the lives of Mahatma Gandhi, Tagore, Munshi Premchand, and Nirala and its impact on the Independence struggle.

Mahatma Gandhi was affected by the gastric variety of flu. At Gandhi’s ashram, several prominent members of the Independence Movement were laid low with flu. Gandhi was too feverish to speak or read; he couldn’t shake a sense of doom: “All interest in living had ceased.” Interestingly, Gandhi’s reaction was: This protracted and first long illness in my life thus afforded me a unique opportunity to examine my principles and to test them. Rabindranath Tagore returned his knighthood as a reaction to the Jallianwala Bagh massacre, and observed that British were guilty of “the same kind of ignorance of the eternal laws which primitive people show when they hunt for some so-called witch to whom they ascribe the cause of their illness, while carrying the disease germs in their own blood.” Spinney observes that disease was a major preoccupation in the writing that emerged in the 1920s, where it dovetailed with ideas about the need to reform the caste system and throw off the yoke of British rule. Munshi Premchand became the self-styled “chronicler of village life” around 1918 when he was living in the United Provinces (Uttar Pradesh), where the Spanish flu claimed an estimated 2–3 million lives alone. Also living there at that time was the poet Nirala, who lost his wife and many other members of his family to the flu. He later recalled seeing the River Ganges “swollen with dead bodies.” This was the strangest time in my life. My family disappeared in the blink of an eye.

There are sections in the book describing the feelings of anxiety accompanying the acute phase of the disease, and reports of people killing themselves while delirious. Following recovery, some patients found themselves plunged into a lingering state of lassitude and despair. Norwegian epidemiologist Svenn-Erik Mamelund studied asylum records in his country from 1872 to 1929 and found that, every year, in which there was no pandemic of influenza, only a few cases were admitted of mental illness associated with flu. However, in each of the 6 years following the 1918 pandemic, the average number of such admissions was seven times higher than in those nonpandemic years (emphasis added). Mamelund speculates that the patients admitted in those 6 years were survivors of Spanish flu who were suffering from what today we would call “postviral or chronic fatigue syndrome.”

The book provides similar creative responses in a number of countries following the pandemic. The paragraph about controversies about the quarantine makes for contemporary reading: “Quarantine and other disease containment strategies place the interests of the collective over those of the individual. When the collective is very large, those strategies have to be imposed in a top-down fashion. But mandating a central authority to act in the interests of the collective potentially creates two kinds of problems. First, the collective may have competing priorities-the need to make money, or the need to raise an army-and deny or water-down the authority’s powers of enforcement. Second, the rights of individuals risk getting trampled on, especially if the authority abuses the measures placed at its disposal.”

One of the quotes from the book can portend what we can expect in the coming years in the country. Spinney notes, “The 1918 pandemic accelerated the pace of change in the first half of the twentieth century, and helped shape our modern world. It influenced the course of the First World War and arguably, contributed to the Second. It pushed India closer to Independence, South Africa closer to Apartheid, and Switzerland to the brink of Civil War. It ushered in universal healthcare and alternative medicine, our love of fresh air and our passion for sport, and it was probably responsible, at least in part, for the obsession of twentieth-century artists with all the myriad ways in which the human body can fail.”

The book made me realize that the current pandemic will bring about extensive changes. Against this expected “mental health tsunami,” there are three tasks for each one of us: firstly, to document the experiences of individuals, families, communities, and the government; secondly, to identify the social factors contributing to vulnerabilities and resilience, to guide corrective actions; and lastly, to utilize the opportunity of heightened awareness of societal-level issues, to work toward addressing the predisposing causes for higher mortality and morbidity such as inequalities, intolerances, inadequate health infrastructure, the weak welfare network to support the vulnerable, and decentralization of powers and plans to enhance community participation.

I recommend it as an essential reading during the current pandemic period.

Source: Murthy R S. Pale rider: the spanish flu of 1918 and how it changed the world. Indian J Soc Psychiatry [serial online] 2020 [cited 2022 Jul 4];36, Suppl S1:189-90. Available from: https://www.indjsp.org/text.asp?2020/36/5/189/297158

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

 

Prevalence of fibromyalgia 10 years after infection with Giardia lamblia: a controlled prospective cohort study

Abstract:

Objectives: To investigate whether acute infection with Giardia lamblia is associated with fibromyalgia 10 years after infection and whether fibromyalgia is associated with irritable bowel syndrome (IBS) and chronic fatigue (CF) in this setting.

Methods: A cohort study was established after an outbreak of G. lamblia in Bergen, Norway, 2004. Laboratory-confirmed cases and a matched control group were followed for 10 years. The main outcome was fibromyalgia 10 years after giardiasis, defined by the 2016 revisions of the fibromyalgia diagnostic criteria using the Fibromyalgia Survey Questionnaire (FSQ).

Results: The prevalence of fibromyalgia was 8.6% (49/572) among Giardia exposed compared to 3.1% (21/673) in controls (p<0.001). Unadjusted odds for having fibromyalgia was higher for Giardia exposed compared to controls (odds ratio (OR): 2.91, 95% confidence interval (CI): 1.72, 4.91), but adjusted for IBS and CF it was not (OR: 1.05, 95% CI: 0.57, 1.95). Among participants without CF the odds for fibromyalgia was 6.27 times higher for participants with IBS than those without (95% CI: 3.31, 11.91) regardless of exposure. Among participants without IBS the odds for fibromyalgia was 4.80 times higher for those with CF than those without (95% CI: 2.75, 8.37).

Conclusions: We found a higher prevalence of fibromyalgia among Giardia exposed compared to controls 10 years after the acute infection. Fibromyalgia was strongly associated with IBS and CF, and the difference between the exposed and controls can be attributed to the high prevalence of IBS and CF among the Giardia exposed. Notably, this study was not designed to establish causality between Giardia exposure and the outcomes.

Source: Hunskar GS, Rortveit G, Litleskare S, Eide GE, Hanevik K, Langeland N, Wensaas KA. Prevalence of fibromyalgia 10 years after infection with Giardia lamblia: a controlled prospective cohort study. Scand J Pain. 2021 Oct 21;22(2):348-355. doi: 10.1515/sjpain-2021-0122. PMID: 34679267. https://www.degruyter.com/document/doi/10.1515/sjpain-2021-0122/html (Full text)

Treatments of chronic fatigue syndrome and its debilitating comorbidities: a 12-year population-based study

Abstract:

Background: This study aims to provide 12-year nationwide epidemiology data to investigate the epidemiology and comorbidities of and therapeutic options for chronic fatigue syndrome (CFS) by analyzing the National Health Insurance Research Database.

Methods: 6306 patients identified as having CFS during the 2000-2012 period and 6306 controls (with similar distributions of age and sex) were analyzed.

Result: The patients with CFS were predominantly female and aged 35-64 years in Taiwan and presented a higher proportion of depression, anxiety disorder, insomnia, Crohn’s disease, ulcerative colitis, renal disease, type 2 diabetes, gout, dyslipidemia, rheumatoid arthritis, Sjogren syndrome, and herpes zoster. The use of selective serotonin receptor inhibitors (SSRIs), serotonin norepinephrine reuptake inhibitors (SNRIs), Serotonin antagonist and reuptake inhibitors (SARIs), Tricyclic antidepressants (TCAs), benzodiazepine (BZD), Norepinephrine-dopamine reuptake inhibitors (NDRIs), muscle relaxants, analgesic drugs, psychotherapies, and exercise therapies was prescribed significantly more frequently in the CFS cohort than in the control group.

Conclusion: This large national study shared the mainstream therapies of CFS in Taiwan, we noticed these treatments reported effective to relieve symptoms in previous studies. Furthermore, our findings indicate that clinicians should have a heightened awareness of the comorbidities of CFS, especially in psychiatric problems.

Source: Leong KH, Yip HT, Kuo CF, Tsai SY. Treatments of chronic fatigue syndrome and its debilitating comorbidities: a 12-year population-based study. J Transl Med. 2022 Jun 11;20(1):268. doi: 10.1186/s12967-022-03461-0. PMID: 35690765. https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-022-03461-0  (Full study)

Who has long-COVID? A big data approach

Abstract:

Background Post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as long-COVID, have severely impacted recovery from the pandemic for patients and society alike. This new disease is characterized by evolving, heterogeneous symptoms, making it challenging to derive an unambiguous long-COVID definition. Electronic health record (EHR) studies are a critical element of the NIH Researching COVID to Enhance Recovery (RECOVER) Initiative, which is addressing the urgent need to understand PASC, accurately identify who has PASC, and identify treatments.

Methods Using the National COVID Cohort Collaborative’s (N3C) EHR repository, we developed XGBoost machine learning (ML) models to identify potential long-COVID patients. We examined demographics, healthcare utilization, diagnoses, and medications for 97,995 adult COVID-19 patients. We used these features and 597 long-COVID clinic patients to train three ML models to identify potential long-COVID patients among (1) all COVID-19 patients, (2) patients hospitalized with COVID-19, and (3) patients who had COVID-19 but were not hospitalized.

Findings Our models identified potential long-COVID patients with high accuracy, achieving areas under the receiver operator characteristic curve of 0.91 (all patients), 0.90 (hospitalized); and 0.85 (non-hospitalized). Important features include rate of healthcare utilization, patient age, dyspnea, and other diagnosis and medication information available within the EHR. Applying the “all patients” model to the larger N3C cohort identified 100,263 potential long-COVID patients.

Interpretation Patients flagged by our models can be interpreted as “patients likely to be referred to or seek care at a long-COVID specialty clinic,” an essential proxy for long-COVID diagnosis in the current absence of a definition. We also achieve the urgent goal of identifying potential long-COVID patients for clinical trials. As more data sources are identified, the models can be retrained and tuned based on study needs.

Source: Pfaff ER, Girvin AT, Bennett TD, Bhatia A, Brooks IM, Deer RR, Dekermanjian JP, Jolley SE, Kahn MG, Kostka K, McMurry JA, Moffitt R, Walden A, Chute CG, Haendel MA, The N3C Consortium. (2021). Who has long-COVID? A big data approach [preprint]. UMass Center for Clinical and Translational Science Supported Publications. https://doi.org/10.1101/2021.10.18.21265168. Retrieved from https://escholarship.umassmed.edu/umccts_pubs/253

Nationwide epidemiological characteristics of chronic fatigue syndrome in South Korea

Abstract:

Background: Chronic fatigue syndrome (CFS) is a long-term disabling illness accompanied by medically unexplained fatigue. This study aimed to explore the epidemiological characteristics of CFS in South Korea.

Methods: Using the nationwide medical records provided by the Korean Health Insurance Review & Assessment Service (HIRA), we analyzed the entire dataset for CFS patients diagnosed by physicians in South Korea from January 2010 to December 2020.

Results: The annual mean incidence of CFS was estimated to be 44.71 ± 6.10 cases per 100,000 individuals [95% CI: 40.57, 48.76], and the prevalence rate was 57.70 ± 12.20 cases per 100,000 individuals [95% CI: 49.40, 65.79]. These two rates increased by 1.53- and 1.94-fold from 2010 to 2020, respectively, and showed an increasing trend with aging and an approximately 1.5-fold female predominance.

Conclusions: This study is the first to report the nationwide epidemiological features of CFS, which reflects the clinical reality of CFS diagnosis and care in South Korea. This study will be a valuable reference for studies of CFS in the future.

Source: Lim EJ, Lee JS, Lee EJ, Jeong SJ, Park HY, Ahn YC, Son CG. Nationwide epidemiological characteristics of chronic fatigue syndrome in South Korea. J Transl Med. 2021 Dec 7;19(1):502. doi: 10.1186/s12967-021-03170-0. PMID: 34876158. https://pubmed.ncbi.nlm.nih.gov/34876158/