Category: Epidemiology

The SARS-CoV-2 receptor angiotensin-converting enzyme 2 (ACE2) in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: a meta-analysis of public DNA methylation and gene expression data

Abstract:

People with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) often report a high frequency of viral infections and flu-like symptoms during their disease course. Since this reporting is in line with different immunological abnormalities and altered gene expression profiles observed in the disease, we aimed to explore whether the expression of the human angiotensin-converting enzyme-2 (ACE2), the major cell entry receptor for SARS-CoV-2, is also altered in this neglected clinical population. In particular, a low expression of ACE2 is usually indicative of a high risk of developing COVID-19.

We then performed a meta-analysis of public data on CpG DNA methylation and gene expression of this enzyme and its homologous ACE protein in peripheral blood mononuclear cells and related subsets. We found that patients with ME/CFS have decreased methylation levels of four CpG probes in the ACE locus (cg09920557, cg19802564, cg21094739, and cg10468385) and of another probe in the promoter region of the ACE2 gene (cg08559914). We also found a decreased expression of ACE2 but not of ACE in patients with ME/CFS when compared to healthy controls.

Accordingly, in newly collected data, we found evidence for a higher proportion of samples with an ACE2 expression below the limit of detection in patients with ME/CFS than in healthy controls. Altogether, patients with ME/CFS could be at a higher COVID-19 risk when infected by SARS-CoV-2. To further support this conclusion, similar research should be conducted for other human cell entry receptors and other cell types, namely, those mainly targeted by the virus.

Source: Malato J, Sotzny F, Bauer S, Freitag H, Fonseca A, Grabowska AD, Graça L, Cordeiro C, Nacul L, Lacerda EM, Castro-Marrero J, Scheibenbogen C, Westermeier F, Sepúlveda N. The SARS-CoV-2 receptor angiotensin-converting enzyme 2 (ACE2) in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: a meta-analysis of public DNA methylation and gene expression data. Heliyon. 2021 Jul 29;7(8):e07665. doi: 10.1016/j.heliyon.2021.e07665. Epub ahead of print. PMID: 34341773; PMCID: PMC8320404. https://pubmed.ncbi.nlm.nih.gov/34341773/

COVID-19 and post-infectious myalgic encephalomyelitis/chronic fatigue syndrome: a narrative review

Abstract:

Coronavirus disease 2019 (COVID-19) is a viral infection which can cause a variety of respiratory, gastrointestinal, and vascular symptoms. The acute illness phase generally lasts no more than 2–3 weeks. However, there is increasing evidence that a proportion of COVID-19 patients experience a prolonged convalescence and continue to have symptoms lasting several months after the initial infection.

A variety of chronic symptoms have been reported including fatigue, dyspnea, myalgia, exercise intolerance, sleep disturbances, difficulty concentrating, anxiety, fever, headache, malaise, and vertigo. These symptoms are similar to those seen in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), a chronic multi-system illness characterized by profound fatigue, sleep disturbances, neurocognitive changes, orthostatic intolerance, and post-exertional malaise. ME/CFS symptoms are exacerbated by exercise or stress and occur in the absence of any significant clinical or laboratory findings.

The pathology of ME/CFS is not known: it is thought to be multifactorial, resulting from the dysregulation of multiple systems in response to a particular trigger. Although not exclusively considered a post-infectious entity, ME/CFS has been associated with several infectious agents including Epstein–Barr Virus, Q fever, influenza, and other coronaviruses. There are important similarities between post-acute COVID-19 symptoms and ME/CFS. However, there is currently insufficient evidence to establish COVID-19 as an infectious trigger for ME/CFS. Further research is required to determine the natural history of this condition, as well as to define risk factors, prevalence, and possible interventional strategies.

Source: Poenaru S, Abdallah SJ, Corrales-Medina V, Cowan J. COVID-19 and post-infectious myalgic encephalomyelitis/chronic fatigue syndrome: a narrative review. Therapeutic Advances in Infectious Disease. January 2021. doi:10.1177/20499361211009385 https://journals.sagepub.com/doi/full/10.1177/20499361211009385 (Full article)

Systematic Review of the Epidemiological Burden of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Across Europe: Current Evidence and EUROMENE Research Recommendations for Epidemiology

Abstract:

This review aimed at determining the prevalence and incidence of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) in Europe. We conducted a primary search in Scopus, PubMed and Web of Science for publications between 1994 and 15 June 2019 (PROSPERO: CRD42017078688). Additionally, we performed a backward-(reference lists) and forward-(citations) search of the works included in this review. Grey literature was addressed by contacting all members of the European Network on ME/CFS (EUROMENE). Independent reviewers searched, screened and selected studies, extracted data and evaluated the methodological and reporting quality. For prevalence, two studies in adults and one study in adolescents were included. Prevalence ranged from 0.1% to 2.2%. Two studies also included incidence estimates.

In conclusion, studies on the prevalence and incidence of ME/CFS in Europe were scarce. Our findings point to the pressing need for well-designed and statistically powered epidemiological studies. To overcome the shortcomings of the current state-of-the-art, EUROMENE recommends that future research is better conducted in the community, reviewing the clinical history of potential cases, obtaining additional objective information (when needed) and using adequate ME/CFS case definitions; namely, the Centers for Disease Control & Prevention−1994, Canadian Consensus Criteria, or Institute of Medicine criteria

Source: Estévez-López F, Mudie K, Wang-Steverding X, et al. Systematic Review of the Epidemiological Burden of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Across Europe: Current Evidence and EUROMENE Research Recommendations for Epidemiology. J Clin Med. 2020;9(5):E1557. Published 2020 May 21. doi:10.3390/jcm9051557 (Full article) https://www.mdpi.com/2077-0383/9/5/1557

The Relationship Between Chronic Fatigue Syndrome, Burnout, Job Satisfaction, Social Support And Age Among Academics At A Tertiary Institution

Abstract:

OBJECTIVES: Over the last 20 years, tertiary institutions have been subjected to several changes. This has resulted in increased workloads for academics. Some academics have started to experience symptoms that are related to chronic fatigue syndrome and burnout. Researchers, however, cannot agree whether the 2 syndromes are two sides of the same coin or actually 2 separate constructs. This study that was conducted at a tertiary institution in South Africa therefore aimed to determine if these constructs accounted for the evidence of the same syndrome within an academic setting or if they were 2 separate, distinguishable constructs. However, since job satisfaction and social support play a role in the poor physical and psychological health experienced by individuals with chronic fatigue syndrome or burnout, it was decided to also include these 2 constructs into the investigation. Age was also incorporated because it had dissimilar relationships with burnout and chronic fatigue syndrome.

MATERIAL AND METHODS: The participants completed the following questionnaires via an online survey: The Centers for Disease Control and Prevention Chronic Fatigue Syndrome Symptom Inventory, the Oldenburg Burnout Inventory, the Overall Job Satisfaction Scale and the Social Support Scale. The data was used for constructing a structural equation model.

RESULTS: Job satisfaction was found to be a strong predictor of burnout. The number of symptoms indicative of chronic fatigue syndrome reported by the participants proved to be a relatively strong significant predictor of burnout. Age did not yield any significant relationship with any of the constructs.

CONCLUSIONS: The results indicated that chronic fatigue and burnout should be perceived as 2 distinguishable constructs in the academic context. It should be noted, however, that some overlap exists between them.

This work is available in Open Access model and licensed under a CC BY-NC 3.0 PL license.

Source: Coetzee N, Maree DJF, Smit BN. The Relationship Between Chronic Fatigue Syndrome, Burnout, Job Satisfaction, Social Support And Age Among Academics At A Tertiary Institution. Int J Occup Med Environ Health. 2019 Feb 27;32(1):75-85. doi: 10.13075/ijomeh.1896.01274. Epub 2019 Feb 20. http://ijomeh.eu/The-relationship-between-chronic-fatigue-syndrome-burnout-job-satisfaction-social,91021,0,2.html (Full article)

Prevalence and characteristics of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) in Poland: a cross-sectional study

Abstract:

OBJECTIVES: The aim of this study was to estimate the prevalence of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) and describe illness characteristics in a community population in Poland.

DESIGN: cross-sectional study.

SETTING: Poland.

PARTICIPANTS: Of the cohort of 1400 who self-presented with fatigue only 69 subsequently were confirmed as having CFS/ME using the Fukuda criteria.

MAIN OUTCOME MEASURES: Participants completed the following screening symptom assessment tools: Chalder Fatigue Scale, Hospital Anxiety and Depression Scale (HADS), Epworth Sleepiness Scale (ESS), Composite Autonomic Symptom Score 31 (COMPASS 31), Quality of Life Scale (QOLS). Haemodynamic and autonomic parameters were automatically measured at rest with a Task Force Monitor.

RESULTS: In 1308, from 1400 (93%) individuals who identified themselves as fatigued, recognised chronic conditions were identified, for example, neurological (n=280, 21.5%), neurodegenerative (n=200, 15%), psychiatric (n=654, 50%) and immunologic (n=174, 13.5%) disorders. The remaining 69 participants (mean age 38.3±8.5) met the Fukuda defintion for CFS/ME and had baseline objective assessment. The majority had experienced symptoms for over 2 years with 37% having symptoms for 2-5 years and 21.7% for more than 10 years. The COMPASS 31 indicated that 50% have symptoms consistent with orthostatic intolerance. About 43/69 (62%) had Epworth sleepiness scores ≥10, ie, consistent with excessive daytime sleepiness, 26/69 (38%) had significant anxiety and 22/69 (32%) depression measured by HADS A & D. Quality of life is significantly impaired in those with Fukuda criteria CFS (QLS score 64±11) with significant negative relationships between quality of life and fatigue (p<0.0001), anxiety (p=0.0009), depression (p<0.0001) and autonomic symptoms (p=0.04).

CONCLUSION: This is the first study to summarise illness characteristics of Polish CFS/ME patients. Our study has confirmed that fatigue is a common and under-recognised symptom affecting the Polish population.

Source: Słomko J, Newton JL, Kujawski S, Tafil-Klawe M, Klawe J, Staines D, Marshall-Gradisnik S, Zalewski P. Prevalence and characteristics of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) in Poland: a cross-sectional study. BMJ Open. 2019 Mar 7;9(3):e023955. doi: 10.1136/bmjopen-2018-023955. https://bmjopen.bmj.com/content/9/3/e023955.long (Full study)

Epidemiology of paediatric chronic fatigue syndrome in Australia

Abstract:

OBJECTIVE: To estimate the paediatrician-diagnosed incidence of chronic fatigue syndrome (CFS) in Australia, and describe demographic and clinical features, as well as approaches to diagnosis and management.

METHODS: The Australian Paediatric Surveillance Unit facilitates monthly national surveillance of uncommon conditions seen by paediatricians. Data from young people aged <18 years diagnosed with CFS were collected. Incidence was estimated based on new cases reported from April 2015 to April 2016.

RESULTS: A total of 164 cases of newly diagnosed CFS in young people aged 4-17 years were identified for inclusion. The estimated national incidence for children aged 4-9 years was 0.25 per 100 000 per annum. In children aged 10-17 years, the estimated incidence of paediatrician-diagnosed cases for Victoria (17.48 per 100 000) was substantially greater than other Australian states (range 1.31-5.51 per 100 000). Most cases were female and Caucasian, most commonly presenting after an infectious illness with symptoms gradual in onset. The majority were diagnosed at least 13 months after symptom onset. Symptoms, associations, investigations and management strategies were highly variable.

CONCLUSIONS: Current findings suggest that, consistent with other countries, the Australian incidence of CFS in children aged <10 years is very low. In contrast, the national incidence of CFS in older children and adolescents (aged 10-17 years) is more unclear, with marked variability between geographical regions apparent. This may be due to variation in service accessibility and clinician understanding of CFS. Accordingly, national initiatives to improve equity of care for children with CFS may be required.

© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Source: Knight S, Elders S, Rodda J, Harvey A, Lubitz L, Rowe K, Reveley C, Hennel S, Towns S, Kozlowska K, Payne DN, Marshall-Gradisnik S, Scheinberg A. Epidemiology of paediatric chronic fatigue syndrome in Australia. Arch Dis Child. 2019 Feb 23. pii: archdischild-2018-316450. doi: 10.1136/archdischild-2018-316450. [Epub ahead of print] https://www.ncbi.nlm.nih.gov/pubmed/30798255

Onset Patterns and Course of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Abstract:

Background: Epidemiologic studies of myalgic encephalomyelitis/ chronic fatigue syndrome (ME/CFS) have examined different aspects of this disease separately but few have explored them together.

Objective: Describe ME/CFS onset and course in one United States-based cohort.

Methods: One hundred and fifty subjects fitting Fukuda 1994 CFS criteria completed a detailed survey concerning the initial and subsequent stages of their illness. Descriptive statistics, graphs, and tables were used to illustrate prevalence and patterns of characteristics.

Results: The most common peri-onset events reported by subjects were infection-related episodes (64%), stressful incidents (39%), and exposure to environmental toxins (20%). For 38% of subjects, more than 6 months elapsed from experiencing any initial symptom to developing the set of symptoms comprising their ME/CFS. Over time, the 12 most common symptoms persisted but declined in prevalence, with fatigue, unrefreshing sleep, exertion-related sickness, and flu-like symptoms declining the most (by 20–25%). Conversely, cognitive symptoms changed the least in prevalence, rising in symptom ranking. Pregnancy, menopause, and menstrual cycles exacerbated many women’s symptoms. Fatigue-related function was not associated with duration of illness or age; during the worst periods of their illness, 48% of subjects could not engage in any productive activity. At the time of survey, 47% were unable to work and only 4% felt their condition was improving steadily with the majority (59%) describing a fluctuating course. Ninety-seven percent suffered from at least one other illness: anxiety (48%), depression (43%), fibromyalgia (39%), irritable bowel syndrome (38%), and migraine headaches (37%) were the most diagnosed conditions. Thirteen percent came from families where at least one other first-degree relative was also afflicted, rising to 27% when chronic fatigue of unclear etiology was included.

Conclusions: This paper offers a broad epidemiologic overview of one ME/CFS cohort in the United States. While most of our findings are consistent with prior studies, we highlight underexamined aspects of this condition (e.g., the evolution of symptoms) and propose new interpretations of findings. Studying these aspects can offer insight and solutions to the diagnosis, etiology, pathophysiology, and treatment of this condition.

Source: Lily Chu, Ian J. Valencia, Donn W. Garvert and Jose G. Montoya. Onset Patterns and Course of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. Front. Pediatr., 05 February 2019. https://doi.org/10.3389/fped.2019.00012  https://www.frontiersin.org/articles/10.3389/fped.2019.00012/full (Full article)

Estimating Prevalence, Demographics and Costs of ME/CFS Using Large Scale Medical Claims Data and Machine Learning

Abstract:

Techniques of data mining and machine learning were applied to a large database of medical and facility claims from commercially insured patients to determine the prevalence, gender demographics, and costs for individuals with provider-assigned diagnosis codes for myalgic encephalomyelitis (ME) or chronic fatigue syndrome (CFS). The frequency of diagnosis was 519 – 1,038/100,000 with the relative risk of females being diagnosed with ME or CFS compared to males 1.238 and 1.178, respectively. While the percentage of women diagnosed with ME/CFS is higher than the percentage of men, ME/CFS is not a “woman’s disease.” Thirty-five to forty percent of diagnosed patients are men. Extrapolating from this frequency of diagnosis and based on the estimated 2017 population of the United States, a rough estimate for the number of patients who may be diagnosed with ME or CFS in the U.S. is 1.7 million to 3.38 million.

Patients diagnosed with CFS appear to represent a more heterogeneous group than those diagnosed with ME. A machine learning model based on characteristics of individuals diagnosed with ME was developed and applied, resulting in a predicted prevalence of 857/100,000 (p>0.01), or roughly 2.8 million in the U.S.

Average annual costs for individuals with a diagnosis of ME or CFS were compared with those for lupus (all categories) and multiple sclerosis (MS), and found to be 50% higher for ME and CFS than for lupus or MS, and three to four times higher than for the general insured population.

A separate aspect of the study attempted to determine if a diagnosis of ME or CFS could be predicted based on symptom codes in the insurance claims records. Due to the absence of specific codes for some core symptoms, we were unable to validate that the information in insurance claims records is sufficient to identify diagnosed patients or suggest that a diagnosis of ME or CFS should be considered based solely on looking for presence of those symptoms.

These results show that a prevalence rate of 857/100,000 for ME/CFS is not unreasonable; therefore, it is not a rare disease, but in fact a relatively common one.

Source: Ashley Valdez, Elizabeth E. Hancock, Seyi Adebayo, David Kiernicki, Daniel Proskauer, John R. Attewell, Lucinda Bateman, Alfred DeMaria, Jr, Charles W. Lapp, Peter C. Rowe and Charmian Proskauer. Estimating Prevalence, Demographics and Costs of ME/CFS Using Large Scale Medical Claims Data and Machine Learning. Front. Pediatr. | doi: 10.3389/fped.2018.00412  https://www.frontiersin.org/articles/10.3389/fped.2018.00412/full (Full article)

Predictors of chronic fatigue in adolescents six months after acute Epstein-Barr virus infection: a prospective cohort study

Abstract:

INTRODUCTION: Acute Epstein-Barr virus (EBV) infection is a trigger of chronic fatigue and Chronic Fatigue Syndrome (CFS). This study investigated baseline predictors of chronic fatigue six months after an acute EBV infection.

MATERIALS AND METHODS: A total of 200 adolescents (12-20 years old) with acute EBV infection were assessed for 149 possible baseline predictors and followed prospectively. We performed linear regression to assess possible associations between baseline predictors and fatigue (Chalder Fatigue Questionnaire total score) six months after the acute EBV infection. A total of 70 healthy controls were included for cross-sectional reference. This study is part of the CEBA-project (Chronic fatigue following acute Epstein-Barr virus infection in adolescents).

RESULTS: In the final multiple linear regression model, fatigue six months after acute EBV infection was significantly and independently predicted by the following baseline variables (regression coefficient B[95% CI]): Sensory sensitivity (0.8[0.09 to 1.6]), pain severity (0.2[0.02 to 0.3]), functional impairment (1000 steps/day) (-0.3[-0.5 to -0.08]), negative emotions (anxiety) (0.4[0.2 to 0.6]), verbal memory (correct word recognition) (1.7[0.1 to 3.3]), plasma C-reactive protein (2.8[1.1 to 4.4] for CRP values >0.86) and plasma Vitamin B12 (-0.005[-0.01 to -0.001]).

CONCLUSIONS: Development of fatigue after acute EBV infection is to a larger extent predicted by baseline variables related to symptoms and functions than to baseline variables reflecting infectious and immune processes.

TRIAL REGISTRATION: ClinicalTrials, ID: NCT02335437, ttps://clinicaltrials.gov/ct2/show/NCT02335437.

Copyright © 2018. Published by Elsevier Inc.

Source: Pedersen M, Asprusten TT, Godang K, Leegaard TM, Osnes LT, Skovlund E, Tjade T, Øie MG, Wyller VBB. Predictors of chronic fatigue in adolescents six months after acute Epstein-Barr virus infection: a prospective cohort study. Brain Behav Immun. 2018 Sep 24. pii: S0889-1591(18)30625-1. doi: 10.1016/j.bbi.2018.09.023. [Epub ahead of print] https://www.ncbi.nlm.nih.gov/pubmed/30261303

Incidence rates of Guillain Barré (GBS), chronic fatigue/systemic exertion intolerance disease (CFS/SEID) and postural orthostatic tachycardia syndrome (POTS) prior to introduction of human papilloma virus (HPV) vaccination among adolescent girls in Finland, 2002-2012

Abstract:

BACKGROUND: In Finland a vaccination programme against human papillomavirus (HPV) was introduced in November 2013 for girls aged 11-12 years with a catchup for girls 13-15 years. Allegations that HPV vaccine is causing Guillain Barré syndrome (GBS) and non-specific diagnostic entities, such as chronic fatigue syndrome/systemic exertion intolerance disease (CFS/SEID) and postural orthostatic tachycardia syndrome (POTS), continue to surface. We examined population register-based incidence rates of CFS/SEID, GBS and POTS to provide baseline data for future HPV vaccine safety evaluations.

METHODS: First diagnosis of CFS/SEID, GBS and POTS in girls aged 11-15 years were obtained from the National Hospital Discharge Register during 2002-2012. We considered the following ICD-10 codes: G93.3 for CFS; G61.0 for GBS and G90.9, G90.8, G93.3, I49.8 for POTS. We calculated incidence rates per 100,000 person-years with 95% confidence intervals (CI).

RESULTS: In total, 9 CFS/SEID, 19 GBS and 72 POTS cases were identified. The overall incidence rate was 0.53/100,000 (95% CI; 0.27-1.01) for CFS/SEID, 1.11 (95% CI; 0.71-1.74) for GBS and 4.21 (95%CI; 3.34-5.30) for POTS. Significant relative increase in annual incidence rate with a peak in 2012 was observed in CFS/SEID (33% (95% CI; 3.0-70.3: p=0.029) and POTS (16.5% (95% CI; 7.8-25.9: p<0.05), but not in GBS (5.4% (95% CI; -8.4-21.3: p=0.460).

CONCLUSIONS: Our findings provide baseline estimates of CFS/SEID, GBS and POTS incidences in Finland. However, rates based on register data should be interpreted with caution, especially for non-specific diagnostic entities for which internationally and even nationally agreed criteria are still being discussed. To assess the associations with HPV vaccine, methods using register linkage for cohort and self-controlled case series should be explored in addition to factors contributing to patients seeking care, treating physicians setting the diagnoses, and their preference of using of codes for these clinical entities.

Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Source: Skufca J, Ollgren J, Ruokokoski E, Lyytikäinen O, Nohynek H. Incidence rates of Guillain Barré (GBS), chronic fatigue/systemic exertion intolerance disease (CFS/SEID) and postural orthostatic tachycardia syndrome (POTS) prior to introduction of human papilloma virus (HPV) vaccination among adolescent girls in Finland, 2002-2012. Papillomavirus Res. 2017 Jun;3:91-96. doi: 10.1016/j.pvr.2017.03.001. Epub 2017 Mar 16. http://www.sciencedirect.com/science/article/pii/S2405852116300696?via%3Dihub (Full article)