Tag: long covid vs ME/CFS

Blood parameters differentiate post COVID-19 condition from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Fibromyalgia

Abstract:

Post-COVID-19 condition, such as Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Fibromyalgia (FM), are characterized by fatigue, pain, shortness of breath, sleep disturbances, cognitive dysfunction and other symptoms, heavily impacting on patients daily functioning. Moreover, over half of patients end up fulfilling ME/CFS and/or FM clinical criteria after a few months of SARS-CoV-2 infection.

Expression of the toxic human endogenous retrovirus (HERV)-W ENV protein can be induced by viral infection and HERV-W detection was correlated with acute COVID-19 severity and found significantly expressed in post-COVID-19 condition. This study shows that HERV-W ENV may also be present in prepandemic cases of ME/CFS, FM or co-diagnosed with both clinical criteria, suggesting viral participation in these chronic diseases.

To learn whether associated antiviral mechanisms may also show differing patterns of immunological responses, we measured IgM, IgG, IgA and IgE antibody isotypes against SARS-CoV-2 spike and nucleocapsid antigens, the levels of IL-6, IL-8, IL-10, IFNγ and TNFα cytokines, the level of NfL, a neural damage biomarker, as well as some blood cell markers potentially related with fatigue.

Importantly, some of the measured variables showed a capacity to discriminate post-COVID-19 condition cases from all other participants, with 100 % sensitivity and up to 71.9 % specificity providing a new tool for a differential diagnosis between diseases or syndromes with so many overlapping clinical symptoms. Interestingly, the detected markers showed moderate-to-strong correlations with patient symptoms pointing at novel therapeutic opportunities.

Source: Giménez-Orenga K, Pierquin J, Brunel J, Charvet B, Martín-Martínez E, Lemarinier M, Fried S, Lucas A, Perron H, Oltra E. Blood parameters differentiate post COVID-19 condition from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Fibromyalgia. Brain Behav Immun Health. 2025 Jul 4;48:101058. doi: 10.1016/j.bbih.2025.101058. PMID: 40726775; PMCID: PMC12302357. https://pmc.ncbi.nlm.nih.gov/articles/PMC12302357/ (Full text)

Comparing DNA Methylation Landscapes in Peripheral Blood from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID Patients

Abstract:

Post-viral conditions, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Long COVID (LC), share > 95% of their symptoms, but the connection between disturbances in their underlying molecular biology is unclear. This study investigates DNA methylation patterns in peripheral blood mononuclear cells (PBMC) from patients with ME/CFS, LC, and healthy controls (HC).

Reduced Representation Bisulphite Sequencing (RRBS) was applied to the DNA of age- and sex-matched cohorts: ME/CFS (n = 5), LC (n = 5), and HC (n = 5). The global DNA methylomes of the three cohorts were similar and spread equally across all chromosomes, except the sex chromosomes, but there were distinct minor changes in the exons of the disease cohorts towards more hypermethylation.

A principal component analysis (PCA) analysing significant methylation changes (p < 0.05) separated the ME/CFS, LC, and HC cohorts into three distinct clusters. Analysis with a limit of >10% methylation difference and at p < 0.05 identified 214 Differentially Methylated Fragments (DMF) in ME/CFS, and 429 in LC compared to HC. Of these, 118 DMFs were common to both cohorts. Those in promoters and exons were mainly hypermethylated, with a minority hypomethylated. There were rarer examples with either no change in methylation in ME/CFS but a change in LC, or a methylation change in ME/CFS but in the opposite direction in LC. The differential methylation in a number of fragments was significantly greater in the LC cohort than in the ME/CFS cohort.

Our data reveal a generally shared epigenetic makeup between ME/CFS and LC but with specific, distinct changes. Differences between the two cohorts likely reflect the stage of the disease from onset (LC 1 year vs. ME/CFS 12 years), but specific changes imposed by the SARS-CoV-2 virus in the case of the LC patients cannot be discounted. These findings provide a foundation for further studies with larger cohorts at the same disease stage and for functional analyses to establish clinical relevance.

Source: Peppercorn K, Sharma S, Edgar CD, Stockwell PA, Rodger EJ, Chatterjee A, Tate WP. Comparing DNA Methylation Landscapes in Peripheral Blood from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID Patients. Int J Mol Sci. 2025 Jul 10;26(14):6631. doi: 10.3390/ijms26146631. PMID: 40724879. https://www.mdpi.com/1422-0067/26/14/6631 (Full text)

Growing recognition of post-acute infection syndromes

Commentary:
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID affect large numbers of people, and constitute a substantial burden to the U.S. and global economies. The article by Eckey et al., in this issue of PNAS (1), adds to the growing evidence that the two illnesses have much in common. Moreover, the illnesses may represent just two examples of an even larger, recently recognized class of illness: post-acute infection syndromes (PAIS) (2).
ME/CFS
This illness first attracted attention in the 1980s. Typically, people suffering from ME/CFS previously have been healthy, and then develop a flu-like illness. While that illness appears initially not unlike previous transient illnesses, and while the respiratory symptoms and fever usually improve, people are left with a severe, persisting fatigue, cognitive problems, worsened symptoms following physical or mental exertion or upright posture, as well as unrefreshing sleep, an illness that can last for years (3, 4). The symptoms are not relieved by rest, and greatly impair a person’s ability to function at work and at home. Some individuals are homebound, some largely bedbound. People with ME/CFS often say, in so many words, “I am no longer the person I was.”
In the 1980s, some scientists suspected that a novel human pathogen was causing the illness. Such speculation seemed reasonable, since a novel virus recently had been discovered to cause the AIDS. However, no single, novel pathogen has emerged as the cause of ME/CFS.
Moreover, the standard laboratory tests that were performed in the 1980s generally came back “normal,” leading some to believe there were no underlying biological abnormalities to explain the symptoms. However, over the past 40 y, thousands of studies have identified many underlying abnormalities involving the brain, immune system, energy metabolism, redox imbalance, vascular injury, and gut microbiota (4–9). The symptoms of the illness are, indeed, accompanied by objective abnormalities.
Despite the fact that—in the United States, alone—the illness is estimated to affect up to 3.1 million people, and to generate direct and indirect expenses of approximately $36 to 51 billion annually (3, 10), relatively few investigators have sought to study the illness: the initial skepticism about whether the illness had a biological basis may have created a lingering stigma. That skepticism faded, to some degree, following publication in 2015 of a report from the U.S. National Academies of Science, Engineering and Medicine highlighting the importance of the problem (3).
Long COVID
Then, along came the COVID-19 pandemic. It was predicted that the pandemic would greatly increase the number of people with an ME/CFS-like illness (11), and that has proved to be the case. Many who have “recovered” from acute COVID-19, even from mild cases, have developed a persisting illness (called “long COVID”) with symptoms much like ME/CFS. The cumulative global incidence of long COVID may be as high as 400 million individuals (5, 8), and the costs to the U.S. and global economy (not including the direct costs of healthcare) may be several trillion dollars in the next 5 to 10 y (8, 12).
Comparing ME/CFS and Long COVID
The similarity of the symptoms seen in ME/CFS and long COVID is underscored by the report from Eckey et al. (1). The study involved a survey of nearly 4,000 people with these illnesses. Participants recorded the prevalence and severity of a large number of symptoms, comorbid illnesses, and responses to different treatments.
The authors recognize that such a survey has important limitations. The diagnoses of ME/CFS, long COVID, and comorbid illnesses were self-reported, and not determined by protocol-directed objective testing—although such testing often had been performed by their doctors. Likewise, the responses to different treatments were self-reported, not the results of randomized, placebo-controlled trials. Nevertheless, the large number of study subjects, and the consistency of their responses, suggests that their responses are valid.
Symptoms.
As seen in figure 1 of the report by Eckey et al. (1), the frequency of each of the symptoms is very similar in both illnesses. At the same time, there may be subgroups of people with both ME/CFS and long COVID in whom different symptoms are predominant: it is possible that these subgroups have different underlying pathophysiology, responses to treatments, and prognosis.
Underlying Pathophysiology.
Of course, the fact that the symptoms and symptom frequency are similar does not necessarily mean the two illnesses share an underlying pathophysiology. Nevertheless, it appears that they do. A detailed analysis of the underlying biological abnormalities seen in both illnesses reveals a striking similarity (6).
Comorbid Diseases.
The survey conducted by Eckey et al., addressed two other dimensions by which to compare the two illnesses. First, the survey found that people with the two illnesses frequently had the same comorbid conditions, particularly postural orthostatic tachycardia syndrome (POTS), migraine, dysautonomia, anxiety and depression, mast cell activation syndrome (MCAS), Ehlers–Danlos syndrome (EDS)/joint hypermobility, and attention deficit disorder (ADD) (1).

Response to Therapies.

Patients with the two illnesses also responded similarly to specific treatments. Remarkably, even at the level of specific symptoms, responses were similar in people with the two illnesses, and the drugs most effective against particular symptoms would be expected to improve those symptoms, adding credibility to the self-reported improvement (1). Thus, the study is consistent with others in finding similar symptoms in people with the two illnesses and, additionally, finds similar comorbidities and responses to treatment.

PAIS

ME/CFS and long COVID are not the only two illnesses that share very similar symptoms. Over the past century, there have been many reports of an illness with very similar symptoms following multiple different acute bacterial, viral, fungal, and protozoal infections; hence, the proposal to call all of these illnesses PAIS (2). Long COVID surely is a PAIS (since the inciting infectious agent is known), and myalgic encephalomyelitis/ chronic fatigue syndrome (ME/CFS) likely often is (even though the inciting agents often have not been pursued by physicians).

IACIs
PAIS, in turn, are one example of an even larger umbrella category, a group of disorders called IACIs (9, 13). As shown in Fig. 1, we distinguish three categories of IACIs: new organ injury from an infectious agent, such as the development of multiple sclerosis following primary infection with Epstein–Barr virus or duodenal ulcers caused by Helicobacter pylori; accelerated incidence of disease processes that had not yet become apparent before the time of an acute infection (including accelerated atherosclerosis and neurodegeneration post-COVID) (8, 14); and PAIS. Some observers use the term long COVID to include all three categories of illness following acute infection with SARS-CoV-2. We restrict the use of the term long COVID to just the PAIS that can follow SARS-CoV-2 infection.
Read the rest of this article here: https://www.pnas.org/doi/10.1073/pnas.2513877122
Source: A.L. Komaroff, Growing recognition of post-acute infection syndromes, Proc. Natl. Acad. Sci. U.S.A. 122 (29) e2513877122, https://doi.org/10.1073/pnas.2513877122 (2025). https://www.pnas.org/doi/10.1073/pnas.2513877122 (Full text)

Rate of 4.5% Post-COVID ME/CFS Onset Cited in Recent RECOVER Study is Based on Biased Cohort

Letter:

The recent paper by Vernon, et al.1 predicts that 4.5% of adult COVID sufferers in the United States experience subsequent onset of Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS). While the degree of ME/CFS onset is indeed significant, the figure of 4.5% cannot be justified from the provided data.

Vernon, et al. compute a male onset rate of 3.41% (107/3134, see Table 1 of paper) and a female onset rate of 4.91% (422/8600). They then take a weighted average based on the gender breakdown of their cohort, which is 27.7% male and 72.3% female, to arrive at 4.5% overall.

The problem here is that their cohort, which is nearly three-quarters female, is not representative of the adult gender prevalence of COVID in the United States. One can estimate the gender breakdown using the CDC Household Pulse Survey,2 which shows 61.6% of US adults having gotten COVID, 58.6% of males and 64.4% of females. These numbers are consistent with an assumed gender breakdown of the adult population of 48.3% male and 51.7% female, from which can be deduced an adult COVID breakdown of 46% male and 54% female, leading to an ME/CFS onset rate of 4.22%. While significant, this is less than the 4.5% published conclusion.

Source: Mirin AA. Rate of 4.5% Post-COVID ME/CFS Onset Cited in Recent RECOVER Study is Based on Biased Cohort. J Gen Intern Med. 2025 Jul 22. doi: 10.1007/s11606-025-09711-3. Epub ahead of print. PMID: 40696227.  https://link.springer.com/article/10.1007/s11606-025-09711-3 (Full text)

Brain and muscle chemistry in myalgic encephalitis/chronic fatigue syndrome (ME/CFS) and long COVID: a 7T magnetic resonance spectroscopy study

Abstract:

Myalgic encephalitis/chronic fatigue syndrome (ME/CFS) is a common debilitating medical condition, whose main symptoms – fatigue, post-exertional malaise and cognitive dysfunction – are also present in many cases of long COVID. Magnetic resonance spectroscopy (MRS) allows the insight into their pathophysiology through exploration of a range of biochemicals putatively relevant to aetiological processes, in particular mitochondrial dysfunction and energy metabolism.

24 patients with ME/CFS, 25 patients with long COVID and 24 healthy controls (HC) underwent brain (pregenual and dorsal anterior cingulate cortex, respectively, pgACC and dACC) and calf muscle MRS scanning at 7 Tesla, followed by a computerised cognitive assessment. Compared to HC, ME/CFS patients had elevated levels of lactate in both pgACC and dACC, while long COVID patients had lowered levels of total choline in dACC. By contrast, skeletal muscle metabolites at rest did not significantly differ between the groups.

The changes in lactate in ME/CFS are consistent with the presence of energetic stress and mitochondrial dysfunction. A reduction in total choline in long COVID is of interest in the context of the recently reported association between blood clots and ‘brain fog’, and earlier animal studies showing that choline might prevent intravascular coagulation.

Importantly, differences in findings between ME/CFS and long COVID suggest that the underlying neurobiological mechanisms, while leading to similar clinical presentations, may differ. An important implication is that patients with ME/CFS and those with fatigue in the course of long COVID should not be studied as a single group, at least until the mechanisms are better understood.

Source: Godlewska BR, Sylvester AL, Emir UE, Sharpley AL, Clarke WT, Williams SR, Gonçalves AJ, Raman B, Valkovič L, Cowen PJ. Brain and muscle chemistry in myalgic encephalitis/chronic fatigue syndrome (ME/CFS) and long COVID: a 7T magnetic resonance spectroscopy study. Mol Psychiatry. 2025 Jul 12. doi: 10.1038/s41380-025-03108-8. Epub ahead of print. PMID: 40652046. https://www.nature.com/articles/s41380-025-03108-8 (Full text)

Prevalence and severity of neurologic symptoms in Long-COVID and the role of pre-existing conditions, hospitalization, and mental health

Abstract:

Background: Long-COVID refers to ongoing, relapsing, or new symptoms present 30 or more days after Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. This study examined the prevalence and severity of neurologic symptoms at greater than 1 month following acute SARS-CoV-2 infection and the influence of pre-existing neurologic and psychiatric conditions, current depression and anxiety status, and hospitalization on the presence and severity of these symptoms.

Methods: This prospective cohort study recruited primarily self-referred Long-COVID participants with confirmed SARS-CoV-2 infection. Online questionnaires inquiring about pre-existing conditions, neurologic symptoms and their severity pre, during and post COVID-19, and current anxiety and depression screening were completed by 213 participants at a median time of 8 months after infection. Descriptive analyses and prevalence modeling were performed.

Results: The most frequent neurologic symptoms post COVID-19 were fatigue, concentration/memory difficulties, unrefreshed sleep, and dysarthria/word finding difficulties (73.2–86.4%). Neurologic symptoms were highly prevalent with significantly greater odds post COVID-19 compared to pre for all symptoms and higher prevalence at time periods farther from infection, including those implicit in fibromyalgia and myalgic encephalomyelitis/chronic fatigue syndrome. Several severe neurologic symptoms were significantly more prevalent post COVID-19. Moderate to severe anxiety (34%) and depression (27%) were observed post COVID-19. Preexisting neurologic or psychiatric conditions did not demonstrate any significant difference in neurologic symptom prevalence post COVID-19. Those who met criteria for moderate or severe anxiety post COVID-19 had a significant difference in prevalence of fatigue, sensitivity to touch and unrefreshed sleep. Similarly, fatigue, concentration/memory difficulty and unrefreshed sleep were more prevalent in moderate to severe depression. There were no significant differences in neurologic symptom prevalence in a hospitalized group when compared to non- hospitalized.

Conclusion: Long-COVID has a high burden of long lasting and severe neurological sequelae. These sequelae are independent of pre-existing self-reported neurologic and psychiatric conditions, as well as previous hospitalization. Current moderate to severe anxiety and depression status can impact fatigue, cognition, and sleep post COVID-19. Focus on the biological impact of SARS-CoV-2 on the nervous system will be essential in ameliorating the tremendous symptom burden left in the wake of the COVID-19 pandemic.

Source: Huff Hanalise V. , Roberts Henry , Bartrum Elizabeth , Norato Gina , Grayson Nicholas , Fleig Katherine , Wilkerson Miciah J. , Stussman Barbara J. , Nath Avindra , Walitt Brian. Prevalence and severity of neurologic symptoms in Long-COVID and the role of pre-existing conditions, hospitalization, and mental health. Frontiers in Neurology, Volume 16 – 2025 https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1562084 10.3389/fneur.2025.1562084 ISSN:1664-2295 https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1562084/full (Full text)

Immune Signatures in Post-Acute Sequelae of COVID-19 (PASC) and Myalgia/Chronic Fatigue Syndrome (ME/CFS): Insights from the Fecal Microbiome and Serum Cytokine Profiles

Abstract:

While there are many postulates for the etiology of post-viral chronic fatigue and other symptomatology, little is known. We draw on our past experience of these syndromes to devise means which can expose the primary players of this malady in terms of a panoply participating biomolecules and the state of the stool microbiome.
Using databases established from a large dataset of patients at risk of colorectal cancer who were followed longitudinally over 3 decades, and a smaller database dedicated to building a Long PASC cohort (Post-Acute Sequelae of COVID-19), we were able to ascertain factors that predisposed patients to (and resulted in) significant changes in various biomarkers, i.e., the stool microbiome and serum cytokine levels, which we verified by collecting stool and serum samples.
There were significant changes in the stool microbiome with an inversion from the usual Bacillota and Bacteroidota species. Serum cytokines showed significant differences in MIP-1β versus TARC (CC chemokine ligand 17) in patients with either PASC or COVID-19 (p < 0.02); IL10 versus IL-12p70a (p < 0.02); IL-1b versus IL-6 (p < 0.01); MCP1 versus TARC (p < 0.03); IL-8 versus TARC (p < 0.002); and Eotaxin3 versus TARC (p < 0.004) in PASC. Some changes were seen solely in COVID-19, including MDC versus MIP-1α (p < 0.01); TNF-α versus IL-1-β (p < 0.06); MCP4 versus TARC (p < 0.0001). We also show correlates with chronic fatigue where an etiology was not identified.
These findings in patients with positive criteria for PASC show profound changes in the microbiome and serum cytokine expression. Patients with chronic fatigue without clear viral etiologies also have common associations, including a history of tonsillectomy, which evokes a likely immune etiology.
Source: Tobi, M., Chaudhari, D., Ryan, E. P., Rossi, N. F., Koka, O., Baxter, B., Tipton, M., Dutt, T. S., Tobi, Y., McVicker, B., & Angoa-Perez, M. (2025). Immune Signatures in Post-Acute Sequelae of COVID-19 (PASC) and Myalgia/Chronic Fatigue Syndrome (ME/CFS): Insights from the Fecal Microbiome and Serum Cytokine Profiles. Biomolecules, 15(7), 928. https://doi.org/10.3390/biom15070928 https://www.mdpi.com/2218-273X/15/7/928 (Full text)

A Mechanical Basis: Brainstem Dysfunction as a Potential Etiology of ME/CFS and Long COVID

Abstract:
The underlying pathologies driving post-acute infectious syndromes (e.g. myalgic encephalomyelitis / chronic fatigue syndrome, long COVID, etc) remain poorly understood. Given the extreme burden these illnesses impose on suffers, and the dramatic increase in cases following the COVID-19 pandemic, it is important to establish a deeper understanding of these pathologies.
We propose a model of how ME/CFS (and related illnesses), might emerge following a viral insult. Central to this hypothesis is the recognition that the core diagnostic features of ME/CFS involve bodily systems known to be governed by the brainstem. This is consistent with the growing literature suggesting that spinal and craniocervical pathologies are over-represented in people with ME/CFS and other post-infectious disorders.
We hypothesize that a non-trivial number of cases of ME/CFS and Long Covid (LC) may have a “mechanical basis.” We propose that an infectious insult may trigger an initial loss of connective tissue integrity in susceptible individuals (e.g. those with pre-existing hypermobility spectrum disorders), which in turn leads to instability at the craniocervical junction, and ultimately mechanical deformation of the brainstem. This ultimately causes widespread autonomic nervous system and immune system dysfunction due to aberrant signaling from the deformed nuclei.
This causal chain may also lead to a vicious cycle: if the dysregulation produced by the initial brainstem deformation leads to a deranged immune response or state of chronic hyper-inflammation, further expression of connective tissue degrading and remodeling factors such as MMPs and mast cells may be triggered. This could further degrade the connective tissues of the craniocervical junction and, in turn, increase mechanical deformation of the brainstem, leading to symptom exacerbation over time and leading to the chronic, lifelong presentation typical of ME/CFS.
Source: Wood, J., Varley, T., Hartman, J., Melia, N., Kaufman, D., & Falor, T. (2025). A Mechanical Basis: Brainstem Dysfunction as a Potential Etiology of ME/CFS and Long COVID. Preprints. https://doi.org/10.20944/preprints202506.0874.v1 https://www.preprints.org/manuscript/202506.0874/v1 (Full text)

Concentrations of uremic bacterial metabolites in patients with post-COVID-19 syndrome

Abstract:

Post-COVID-19 syndrome (PCS) is characterized by persistent symptoms and reduced mental and physical performance following the acute phase of COVID-19. The underlying mechanisms remain unclear but may involve gut microbiota dysbiosis and immune-related changes in amino acid metabolism. This pilot study aimed to investigate whether specific bacterial uremic metabolites (BUM) are altered in patients with post-infectious syndromes and whether these alterations are associated with PCS symptoms.

We examined BUM in 25 PCS patients, 8 Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) patients, and 8 healthy controls (Ctrls). Concentrations of BUM were determined in second morning urine samples using mass spectrometry (Biovis Diagnostik, Limburg, Germany). Standardized questionnaires assesed physical, cognitive, psychological, and somatic symptoms and mental health status.

PCS and ME/CFS patients exhibited significantly higher scores for post-exertional malaise (PEM) and somatic symptom severity compared to healthy controls (p<0.001). Elevated BUM concentrations were found in 64% of PCS patients, compared to 37.5% of both healthy controls and ME/CFS patients. While overall BUM levels did not significantly differ between groups, heatmap clustering revealed distinct metabolic patterns.

Elevated tryptamine and 4-hydroxyphenylpropionic acid (HPHPA) and higher hippuric acid and trimethylamine concentrations, were exclusively analysed in patients with post-infectious syndromes. Our pilot study suggests that urine metabolomic analysis may be a useful approach for investigating the role of gut dysbiosis and BUM in patients with PCS.

Source: Brigo N, Mayr W, Taenzer M, Löffler-Ragg J, Schroll A, Engl S, Schütz B, Rappl P, Heine T, Weiss G, Kurz K. Concentrations of uremic bacterial metabolites in patients with post-COVID-19 syndrome. Front Cell Infect Microbiol. 2025 May 29;15:1582972. doi: 10.3389/fcimb.2025.1582972. PMID: 40510799; PMCID: PMC12159039. https://pmc.ncbi.nlm.nih.gov/articles/PMC12159039/ (Full text)

Long-COVID in children and their parents: A prospective cohort study

Abstract:

Background: Long-COVID is a significant global health concern, regardless of age. However, few reports have longitudinally evaluated the characteristics, prevalence, and risk factors of long-COVID in children.

Methods: Participants were Japanese children younger than 18 years hospitalized for COVID-19 between November 2021 and October 2022, along with their COVID-19 affected parents. During hospitalization and at 1-, 3-, and 6-month follow-ups, participants completed age-appropriate questionnaires on long-COVID symptoms. The quality of life (QOL) score was assessed in children older than 2 years. The prevalence of long-COVID symptoms by age group was compared. Multivariable logistic regression analysis was conducted to investigate risk factors affecting long-COVID. Analysis of covariance adjusted for potential confounders was conducted to determine which symptoms affect QOL score.

Results: Of 108 children enrolled, the prevalence of long-COVID was 44.9%, 37.8%, and 22.8% at 1, 3, and 6 months, respectively, after SARS-CoV-2 infection. There were no specific risk factors for long-COVID. Cough, fatigue, and sleep disturbance were the most common long-COVID symptoms, with sleep disturbance associated with a change in lower QOL score from admission at all three follow-ups (mean difference 9.25, 20.15, and 19.81; 95% CI, 1.58-16.91, 3.38-36.92, and 5.51-34.11). The prevalence of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) symptoms among 0-6 years was significantly lower than among 7-17 years and parents; there was no significant difference between 7 and 17 years and parents.

Conclusion: Even 6 months after SARS-CoV-2 infection, 22.8% of pediatric patients still had long-COVID symptoms. Some of these symptoms were similar to those of ME/CFS, potentially affecting children’s QOL.

Source: Iijima H, Funaki T, Kubota M. Long-COVID in children and their parents: A prospective cohort study. Pediatr Int. 2025 Jan-Dec;67(1):e70042. doi: 10.1111/ped.70042. PMID: 40351239. https://onlinelibrary.wiley.com/doi/full/10.1111/ped.70042 (Full text)