Prevalence of Fibromyalgia and Chronic Fatigue Syndrome among Individuals with Irritable Bowel Syndrome: An Analysis of United States National Inpatient Sample Database

Abstract:

Background and Aim: Irritable bowel syndrome (IBS) is a functional gastrointestinal disorder associated with other somatic disorders. We studied the prevalence and predictors of fibromyalgia and chronic fatigue syndrome (CFS) in IBS patients.
Methods: We used the National Inpatient Sample and included hospitalization of individuals with IBS, using ICD-10 codes, from 2016–2019. The prevalence and predictors of fibromyalgia and CFS in IBS patients were studied. Univariate and multivariate patient- and hospital-level regression models were used to calculate the adjusted odds of fibromyalgia and CFS in the IBS patient population.
Results: Of 1,256,325 patients with an ICD-10 code of IBS included in the study, 10.73% (134,890) also had ICD-10 codes for fibromyalgia and 0.42% (5220) for CFS. The prevalence of fibromyalgia and CFS was significantly higher in IBS patients (adjusted odds ratio (AOR) 5.33, 95% confidence interval (CI) 5.24–5.41, p < 0.001, and AOR 5.40, 95% CI 5.04–5.78, p < 0.001, respectively) compared to the general adult population without IBS. IBS-diarrhea, IBS-constipation, and IBS-mixed types were independently associated with increased odds of fibromyalgia and CFS. Increasing age (AOR 1.02, 95% CI 1.01–1.04, p 0.003; AOR 1.02, 95% CI 1.01–1.03, p 0.001), female gender (AOR 11.2, 95% CI 11.1–11.4, p < 0.001; AOR 1.86, 95% CI 1.78–1.93, p < 0.001) and white race (AOR 2.04, 95% CI 1.95–2.12, p < 0.001; AOR 1.69, 95% CI 1.34–2.13, p < 0.001) were independent predictors of increased odds of fibromyalgia and CFS, respectively.
Conclusions: It appears that IBS is associated with an increased prevalence of somatic disorders such as fibromyalgia and CFS.
Source: Tarar ZI, Farooq U, Nawaz A, Gandhi M, Ghouri YA, Bhatt A, Cash BD. Prevalence of Fibromyalgia and Chronic Fatigue Syndrome among Individuals with Irritable Bowel Syndrome: An Analysis of United States National Inpatient Sample Database. Biomedicines. 2023; 11(10):2594. https://doi.org/10.3390/biomedicines11102594 https://www.mdpi.com/2227-9059/11/10/2594 (Full text)

Bayesian Statistics Improves Biological Interpretability of Metabolomics Data from Human Cohorts

Abstract:

Univariate analyses of metabolomics data currently follow a frequentist approach, using p-values to reject a null hypothesis. We here propose the use of Bayesian statistics to quantify evidence supporting different hypotheses and discriminate between the null hypothesis versus the lack of statistical power.

We used metabolomics data from three independent human cohorts that studied the plasma signatures of subjects with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The data are publicly available, covering 84-197 subjects in each study with 562-888 identified metabolites of which 777 were common between the two studies and 93 were compounds reported in all three studies. We show how Bayesian statistics incorporates results from one study as “prior information” into the next study, thereby improving the overall assessment of the likelihood of finding specific differences between plasma metabolite levels.

Using classic statistics and Benjamini-Hochberg FDR-corrections, Study 1 detected 18 metabolic differences and Study 2 detected no differences. Using Bayesian statistics on the same data, we found a high likelihood that 97 compounds were altered in concentration in Study 2, after using the results of Study 1 as the prior distributions. These findings included lower levels of peroxisome-produced ether-lipids, higher levels of long-chain unsaturated triacylglycerides, and the presence of exposome compounds that are explained by the difference in diet and medication between healthy subjects and ME/CFS patients.

Although Study 3 reported only 92 compounds in common with the other two studies, these major differences were confirmed. We also found that prostaglandin F2alpha, a lipid mediator of physiological relevance, was reduced in ME/CFS patients across all three studies. The use of Bayesian statistics led to biological conclusions from metabolomic data that were not found through frequentist approaches. We propose that Bayesian statistics is highly useful for studies with similar research designs if similar metabolomic assays are used.

Source: Brydges C, Che X, Lipkin WI, Fiehn O. Bayesian Statistics Improves Biological Interpretability of Metabolomics Data from Human Cohorts. Metabolites. 2023 Aug 31;13(9):984. doi: 10.3390/metabo13090984. PMID: 37755264; PMCID: PMC10535181. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535181/ (Full text)

Understanding, diagnosing, and treating Myalgic encephalomyelitis/chronic fatigue syndrome – State of the art: Report of the 2nd international meeting at the Charité fatigue center

Abstract:

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a devastating disease affecting millions of people worldwide. Due to the 2019 pandemic of coronavirus disease (COVID-19), we are facing a significant increase of ME/CFS prevalence. On May 11th to 12th, 2023, the second international ME/CFS conference of the Charité Fatigue Center was held in Berlin, Germany, focusing on pathomechanisms, diagnosis, and treatment.

During the two-day conference, more than 100 researchers from various research fields met on-site and over 700 attendees participated online to discuss the state of the art and novel findings in this field. Key topics from the conference included: the role of the immune system, dysfunction of endothelial and autonomic nervous system, and viral reactivation. Furthermore, there were presentations on innovative diagnostic measures and assessments for this complex disease, cutting-edge treatment approaches, and clinical studies.

Despite the increased public attention due to the COVID-19 pandemic, the subsequent rise of Long COVID-19 cases, and the rise of funding opportunities to unravel the pathomechanisms underlying ME/CFS, this severe disease remains highly underresearched. Future adequately funded research efforts are needed to further explore the disease etiology and to identify diagnostic markers and targeted therapies.

Source: Steiner S, Fehrer A, Hoheisel F, Schoening S, Aschenbrenner A, Babel N, Bellmann-Strobl J, Finke C, Fluge Ø, Froehlich L, Goebel A, Grande B, Haas JP, Hohberger B, Jason LA, Komaroff AL, Lacerda E, Liebl M, Maier A, Mella O, Nacul L, Paul F, Prusty BK, Puta C, Riemekasten G, Ries W, Rowe PC, Sawitzki B, Shoenfeld Y, Schultze JL, Seifert M, Sepúlveda N, Sotzny F, Stein E, Stingl M, Ufer F, Veauthier C, Westermeier F, Wirth K, Wolfarth B, Zalewski P, Behrends U, Scheibenbogen C. Understanding, diagnosing, and treating Myalgic encephalomyelitis/chronic fatigue syndrome – State of the art: Report of the 2nd international meeting at the Charité fatigue center. Autoimmun Rev. 2023 Sep 22:103452. doi: 10.1016/j.autrev.2023.103452. Epub ahead of print. PMID: 37742748. https://www.sciencedirect.com/science/article/abs/pii/S1568997223001866

Long-term health outcomes of Q-fever fatigue syndrome patients

Summary:

This study determined long-term health outcomes (≥10 years) of Q-fever fatigue syndrome (QFS). Longterm health complaints, health-related quality of life (HRQL), health status, energy level, fatigue, post exertional malaise, anxiety and depression were assessed. Outcomes and determinants were studied for the total sample and compared among age subgroups: young (<40y), middle-aged (≥40-<65y), and older
(≥65y) patients.

368 QFS patients were included. Participants reported a median number of 12.0 long-term health complaints. Their HRQL (median EQ-5D-5L index: 0.63) and health status (median EQ VAS: 50.0) were low, their level of fatigue was high, and many experienced post-exertional malaise complaints (98.9%). Young and middle-aged patients reported worse health outcomes compared to older patients, with both groups reporting a significantly worse health status, higher fatigue levels and anxiety, and more post-exertional malaise complaints; and middle-aged patients having a lower HRQL and a higher risk of depression.

Multivariate regression analyses confirmed that older age is associated with better outcomes, except for the number of health complaints. QFS has thus a considerable impact on patients’ health more than 10 years after infection. Young and middle-aged patients experience more long-term health consequences compared to older patients. Tailored healthcare is recommended to provide optimal care for each QFS patient.

Source: Spronk, I., Brus, I., Groot, A., Tieleman, P., Olde Loohuis, A., Haagsma, J., & Polinder, S. (2023). Long-term health outcomes of Q-fever fatigue syndrome patients. Epidemiology & Infection, 1-35. doi:10.1017/S0950268823001401 https://www.cambridge.org/core/journals/epidemiology-and-infection/article/longterm-health-outcomes-of-qfever-fatigue-syndrome-patients/99B3D80E172A66619C216506E020BB02 (Full text available as PDF file)

Bone marrow alterations in COVID-19 infection: The root of hematological problems

Abstract:

Introduction: The 2019 coronavirus disease (COVID-19) is a respiratory infection caused by the SARS-CoV-2 virus with a significant impact on the hematopoietic system and homeostasis. The effect of the virus on blood cells indicates the involvement of the bone marrow (BM) as the place of production and maturation of these cells by the virus and it reminds the necessity of investigating the effect of the virus on the bone marrow.

Method: To investigate the effects of COVID-19 infection in BM, we reviewed literature from the Google Scholar search engine and PubMed database up to 2022 using the terms “COVID-19; SARS-CoV-2; Bone marrow; Thrombocytopenia; Hemophagocytosis; Pancytopenia and Thrombocytopenia.

Results: Infection with the SARS-CoV-2 virus is accompanied by alterations such as single-line cytopenia, pancytopenia, hemophagocytosis, and BM necrosis. The presence of factors such as cytokine release syndrome, the direct effect of the virus on cells through different receptors, and the side effects of current treatments such as corticosteroids are some of the important mechanisms in the occurrence of these alterations.

Conclusion: To our knowledge, this review is the first study to comprehensively investigate BM alterations caused by SAR-CoV-2 virus infection. The available findings show that the significant impact of this viral infection on blood cells and the clinical consequences resulting from them are deeper than previously thought and it may be rooted in the changes that the virus causes in the BM of patients.

Source: Zeylabi F, Nameh Goshay Fard N, Parsi A, Pezeshki SMS. Bone marrow alterations in COVID-19 infection: The root of hematological problems. Curr Res Transl Med. 2023 Jul 25;71(3):103407. doi: 10.1016/j.retram.2023.103407. Epub ahead of print. PMID: 37544028. https://www.sciencedirect.com/science/article/abs/pii/S2452318623000314 (Full text)

Association Between Chronic Fatigue Syndrome/Myalgic Encephalomyelitis and Cardiovascular Disease

Abstract:

Background: Chronic Fatigue Syndrome or Myalgic Encephalomyelitis (CFS/ME) is a medical condition characterized by severe and prolonged fatigue that is not relieved by rest or attributed to any underlying medical or psychological condition. Individuals with CFS/ME are considered to have an increased risk of a wide range of comorbid conditions, including cardiovascular disease (CVD). The association between CFS/ME and CVD is not fully understood.

Objective: To determine the prevalence of CFS/ME in a sample population and examine its association with CVD.

Methods: Data was analyzed from the 2021 National Health Interview Survey (NHIS). Information on sociodemographic factors, CVD risk factors, and history of CFS/ME and CVD were collected. Multivariate logistic regression model was used to determine the association between CFS/ME and CVD, adjusting for traditional CVD risk factors (age, sex, race, hypertension, diabetes, dyslipidemia, smoking, and body mass index (BMI).

Results: Median age of participants was 53 years, and majority of participants were female (53.9%). Prevalence of CFS/ME was 1.4%. A history of CFS/ME was significantly associated with CVD (aOR: 3.13, 95%CI: 2.37, 4.15, p-value: <0.001) after adjusting for traditional CVD risk factors.

Conclusion: A history of CFS/ME was independently associated with CVD after adjusting for traditional CVD risk factors. Patients with CFS/ME need close evaluation for CVD. Further studies are needed to better understand the relationship between CFS/ME and CVD.

Source: Mawulorm KI Denu, Ritika Revoori, Cherita Eghan, Fredrick Larbi Kwapong, Andrew Hillman, Cornelius A Normeshie, Kofi Poku Berko, Emily L. Aidoo. Association Between Chronic Fatigue Syndrome/Myalgic Encephalomyelitis and Cardiovascular Disease. BMC Archives of Publis Health. https://doi.org/10.21203/rs.3.rs-3332913/v1 (Full text)

Long COVID: Clinical Findings, Pathology, and Endothelial Molecular Mechanisms

Abstract:

Persistence of COVID-19 symptoms may follow SARS-CoV-2 infection. The incidence of long COVID increases with the severity of acute disease, but even mild disease can be associated with sequelae. The symptoms vary widely with fatigue, shortness of breath, and cognitive dysfunction being the most common. Abnormalities of multiple organs have been documented and histopathology has revealed widespread microthrombi. Elevated levels of complement are present in acute COVID-19 patients and may persist at lower levels in long COVID. Evidence supports complement activation with endotheliopathy associated disease as the molecular mechanism causing both acute and long COVID.

Section snippets

Prevalence and Definition: A review and meta-analysis of published results of long COVID studies suggest a global prevalence of the post COVID-19 condition of approximately 43% with a wide range of 9-81%.1 Using a population-representative survey epidemiologists have estimated the prevalence of long COVID in the United States to be 7.3%.2 In an effort to standardize the definition of long COVID the World Health Organization (WHO) established a Clinical Case Definition Working Group on the Post-COVID-19 Condition.3

Symptoms: The symptoms of long COVID are similar to those observed in patients following chronic critical illness and hospitalization in intensive care units.4 In the United Kingdom a retrospective matched cohort study was undertaken to determine symptoms beyond 12 weeks in non-hospitalized SARS-CoV-2 infected patients compared with uninfected patients.5 A cohort of 486,149 non-hospitalized adults with confirmed SARS-CoV-2 infection was compared to 1,944,580 propensity score-matched adults with no record

Evaluation and Testing: The previously referenced study of COVID patients 6 months after discharge from hospital in Wuhan, China enrolled patients in radiographic, pulmonary function, and blood testing.7 High resolution computerized tomography (HRCT) was performed on 390 patients and was abnormal in 52% not requiring supplemental oxygen and 54% of patients requiring supplemental oxygen. Lung diffusion impairment was noted in 22% of patients not requiring oxygen and up to 56% of patients requiring supplemental oxygen

Pathology and Histopathology: Autopsy data has contributed considerable information to our understanding of SARS-CoV-2 infection. A review of the histopathological findings in coronavirus disease 2019 reported diffuse alveolar damage (DAD), multiple organ microvasculitis, and lymphocytic infiltration with changes in immune organs and emphasized the observance of microthrombosis in numerous studies.18 An autopsy study from New York Presbyterian Hospital revealed macroscopic and/or microscopic thrombi in 84% patients.19

Complement, von Willebrand factor, and Endotheliopathy: A prospective study in the Netherlands was conducted to examine the role of complement as a component of the innate immune response to SARS-CoV-2 infection.29 Investigators found that complement factors C3a, C3c, and the terminal complement complex or membrane attack complex (MAC) were increased in COVID-19 patients compared to healthy controls. Furthermore, these complement factors were more increased in patients who were admitted to intensive care units, died, or experienced thromboembolic

Discussion: Long COVID or post acute sequelae of COVID-19 (PASC) is a frequent occurrence in patients recovering from acute SARS-CoV-2 infection. Estimates of the incidence vary widely with the more recent estimates trending below 10% in the United States. Changes in definition, increasing population immunity, treatment with antivirals and monoclonal antibodies, and newer variants may all play a role in the downward trend. The symptoms of long COVID are numerous and reflect the multi-organ nature of both…

Conclusion: The pathology and histopathology of COVID-19 patients has demonstrated the presence of widespread multi-organ microthrombi as a central feature of SARS-CoV-2 infection. Elevated levels of complement factors and von Willebrand factor have been found in COVID-19 patients and the degree of increases are directly related to the severity of disease and persistent high levels correlate with long COVID symptoms.39 Persisting symptoms following acute COVID-19 occur more often and are more debilitating

Source: Hawley HB. Long COVID: Clinical Findings, Pathology, and Endothelial Molecular Mechanisms. Am J Med. 2023 Sep 11:S0002-9343(23)00539-9. doi: 10.1016/j.amjmed.2023.08.008. Epub ahead of print. PMID: 37704072. https://www.sciencedirect.com/science/article/abs/pii/S0002934323005399

COVID-19 and Long COVID: Disruption of the Neurovascular Unit, Blood-Brain Barrier, and Tight Junctions

Abstract:

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), could affect brain structure and function. SARS-CoV-2 can enter the brain through different routes, including the olfactory, trigeminal, and vagus nerves, and through blood and immunocytes. SARS-CoV-2 may also enter the brain from the peripheral blood through a disrupted blood-brain barrier (BBB).
The neurovascular unit in the brain, composed of neurons, astrocytes, endothelial cells, and pericytes, protects brain parenchyma by regulating the entry of substances from the blood. The endothelial cells, pericytes, and astrocytes highly express angiotensin converting enzyme 2 (ACE2), indicating that the BBB can be disturbed by SARS-CoV-2 and lead to derangements of tight junction and adherens junction proteins. This leads to increased BBB permeability, leakage of blood components, and movement of immune cells into the brain parenchyma. SARS-CoV-2 may also cross microvascular endothelial cells through an ACE2 receptor–associated pathway.
The exact mechanism of BBB dysregulation in COVID-19/neuro-COVID is not clearly known, nor is the development of long COVID. Various blood biomarkers could indicate disease severity and neurologic complications in COVID-19 and help objectively diagnose those developing long COVID. This review highlights the importance of neurovascular and BBB disruption, as well as some potentially useful biomarkers in COVID-19, and long COVID/neuro-COVID.
Source: Kempuraj D, Aenlle KK, Cohen J, Mathew A, Isler D, Pangeni RP, Nathanson L, Theoharides TC, Klimas NG. COVID-19 and Long COVID: Disruption of the Neurovascular Unit, Blood-Brain Barrier, and Tight Junctions. Neuroscientist. 2023 Sep 11:10738584231194927. doi: 10.1177/10738584231194927. Epub ahead of print. PMID: 37694571. https://pubmed.ncbi.nlm.nih.gov/37694571/

Social Stigma in Children with Long COVID

Abstract:

There is growing evidence that adults with Long COVID suffer from different sets of stigmata related to their condition. In children with Long COVID, this aspect has never been investigated. This study aims to investigate if children with Long COVID also experience stigma.
Methods: Children with a previous SARS-CoV-2 infection evaluated at 3 month follow-ups in a pediatric post COVID unit were asked to fill in an online Long COVID Stigma Scale survey before they were assessed by a pediatrician. Doctors were unaware of children’s responses when they performed a diagnosis of Long COVID or full recovery from previous infection, according to the World Health Organization definition of pediatric Long COVID. Responses to the Stigma scale were then compared in the two cohorts of children.
Results: 224 patients responded to the questionnaire; 40 patients were diagnosed with Long COVID. Children with Long COVID significantly more frequently felt embarrassed about having Long COVID (p 0.035), felt embarrassed about having physical limitations (p < 0.001), felt they were valued less due to Long COVID (p 0.003), felt they were different from other peers due to Long COVID (p 0.033), felt significantly more frequently that people behaved differently towards them because they might be lying since the diagnosis of Long COVID (p 0.006), that they were less respected by others due to Long COVID (p 0.017), that other people thought that Long COVID is not a real disease (p 0.007), that other people thought that developing Long COVID is a sign of weakness (p 0.008), and that other people might judge them negatively due to their diagnosis of Long COVID (p < 0.001).
Conclusions: Children with Long COVID, similar to adults, are suffering from stigmata due to their condition. These data may have implication and should be used by the public, policy makers, and healthcare professionals regarding pediatric Long COVID.
Source: Buonsenso D, Camporesi A, Morello R, De Rose C, Fracasso M, Chieffo DPR, Valentini P. Social Stigma in Children with Long COVID. Children. 2023; 10(9):1518. https://doi.org/10.3390/children10091518 https://www.mdpi.com/2227-9067/10/9/1518 (Full text)

Analyzing the Interplay between COVID-19 Viral Load, Inflammatory Markers, and Lymphocyte Subpopulations on the Development of Long COVID

Abstract:

The global impact of the SARS-CoV-2 infection has been substantial, affecting millions of people. Long COVID, characterized by persistent or recurrent symptoms after acute infection, has been reported in over 40% of patients. Risk factors include age and female gender, and various mechanisms, including chronic inflammation and viral persistence, have been implicated in long COVID’s pathogenesis. However, there are scarce studies in which multiple inflammatory markers and viral load are analyzed simultaneously in acute infection to determine how they predict for long COVID at long-term follow-up. This study explores the association between long COVID and inflammatory markers, viral load, and lymphocyte subpopulation during acute infection in hospitalized patients to better understand the risk factors of this disease.
This longitudinal retrospective study was conducted in patients hospitalized with COVID-19 in northern Mexico. Inflammatory parameters, viral load, and lymphocyte subpopulation during the acute infection phase were analyzed, and long COVID symptoms were followed up depending on severity and persistence (weekly or monthly) and assessed 1.5 years after the acute infection.
This study analyzed 79 patients, among them, 41.8% presented long COVID symptoms, with fatigue being the most common (45.5%). Patients with long COVID had higher lymphocyte levels during hospitalization, and NK cell subpopulation levels were also associated with long COVID. ICU admission during acute COVID-19 was also linked to the development of long COVID symptoms.
Source: Rivera-Cavazos A, Luviano-García JA, Garza-Silva A, Morales-Rodríguez DP, Kuri-Ayache M, Sanz-Sánchez MÁ, Santos-Macías JE, Romero-Ibarguengoitia ME, González-Cantú A. Analyzing the Interplay between COVID-19 Viral Load, Inflammatory Markers, and Lymphocyte Subpopulations on the Development of Long COVID. Microorganisms. 2023; 11(9):2241. https://doi.org/10.3390/microorganisms11092241 https://www.mdpi.com/2076-2607/11/9/2241 (Full text)