Tag: fatigue

Brain FADE syndrome: the final common pathway of chronic inflammation in neurological disease

Abstract:

Importance: While the understanding of inflammation in the pathogenesis of many neurological diseases is now accepted, this special commentary addresses the need to study chronic inflammation in the propagation of cognitive Fog, Asthenia, and Depression Related to Inflammation which we name Brain FADE syndrome. Patients with Brain FADE syndrome fall in the void between neurology and psychiatry because the depression, fatigue, and fog seen in these patients are not idiopathic, but instead due to organic, inflammation involved in neurological disease initiation.

Observations: A review of randomized clinical trials in stroke, multiple sclerosis, Parkinson’s disease, COVID, traumatic brain injury, and Alzheimer’s disease reveal a paucity of studies with any component of Brain FADE syndrome as a primary endpoint. Furthermore, despite the relatively well-accepted notion that inflammation is a critical driving factor in these disease pathologies, none have connected chronic inflammation to depression, fatigue, or fog despite over half of the patients suffering from them.

Conclusions and relevance: Brain FADE Syndrome is important and prevalent in the neurological diseases we examined. Classical “psychiatric medications” are insufficient to address Brain FADE Syndrome and a novel approach that utilizes sequential targeting of innate and adaptive immune responses should be studied.

Source: Khalid A. Hanafy, Tudor G. Jovin. Brain FADE syndrome: the final common pathway of chronic inflammation in neurological disease. Front. Immunol., 17 January 2024, Sec. Inflammation, Volume 15 – 2024 | https://doi.org/10.3389/fimmu.2024.1332776 https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1332776/full (Full text)

The role of clinical neurophysiology in the definition and assessment of fatigue and fatigability

Highlights:

  • Though a common symptom, fatigue is difficult to define and investigate, and occurs in a wide variety of disorders, with differing pathological causes.
  • This review aims to guide clinicians in how to approach fatigue and to suggest that neurophysiological tests may allow an understanding of its origin and severity.
  • The effectiveness of neurophysiological tests as cost-effective objective biomarkers for the assessment of fatigue has been summarised.

Abstract

Though a common symptom, fatigue is difficult to define and investigate, occurs in a wide variety of neurological and systemic disorders, with differing pathological causes. It is also often accompanied by a psychological component. As a symptom of long-term COVID-19 it has gained more attention.

In this review, we begin by differentiating fatigue, a perception, from fatigability, quantifiable through biomarkers. Central and peripheral nervous system and muscle disorders associated with these are summarised. We provide a comprehensive and objective framework to help identify potential causes of fatigue and fatigability in a given disease condition. It also considers the effectiveness of neurophysiological tests as objective biomarkers for its assessment. Among these, twitch interpolation, motor cortex stimulation, electroencephalography and magnetencephalography, and readiness potentials will be described for the assessment of central fatigability, and surface and needle electromyography (EMG), single fibre EMG and nerve conduction studies for the assessment of peripheral fatigability.

The purpose of this review is to guide clinicians in how to approach fatigue, and fatigability, and to suggest that neurophysiological tests may allow an understanding of their origin and interactions. In this way, their differing types and origins, and hence their possible differing treatments, may also be defined more clearly.

Source: Tankisi H, Versace V, Kuppuswamy A, Cole J. The role of clinical neurophysiology in the definition and assessment of fatigue and fatigability. Clin Neurophysiol Pract. 2023 Dec 18;9:39-50. doi: 10.1016/j.cnp.2023.12.004. PMID: 38274859; PMCID: PMC10808861. https://www.sciencedirect.com/science/article/pii/S2467981X23000367 (Full text)

A randomized open-label clinical trial on the effect of Amantadine on post Covid 19 fatigue

Abstract:

Many COVID-19 survivors experience lingering post-COVID-19 symptoms, notably chronic fatigue persisting for months after the acute phase. Despite its prevalence, limited research has explored effective treatments for post-COVID-19 fatigue. This randomized controlled clinical trial assessed the impact of Amantadine on patients with post-COVID-19 fatigue.

The intervention group received Amantadine for two weeks, while the control group received no treatment. Fatigue levels were assessed using the Visual Analog Fatigue Scale (VAFS) and Fatigue Severity Scale (FSS) questionnaires before and after the trial. At the study’s onset, VAFS mean scores were 7.90 ± 0.60 in the intervention group and 7.34 ± 0.58 in the control group (P-value = 0.087). After two weeks, intervention group scores dropped to 3.37 ± 0.44, significantly lower than the control group’s 5.97 ± 0.29 (P-value < 0.001). Similarly, FSS mean scores at the trial’s commencement were 53.10 ± 5.96 in the intervention group and 50.38 ± 4.88 in the control group (P-value = 0.053). At the trial’s end, intervention group scores decreased to 28.40 ± 2.42, markedly lower than the control group’s 42.59 ± 1.50 (P-value < 0.001).

In this study, we report the safety, tolerability, and substantial fatigue-relieving effects of Amantadine in post-COVID-19 fatigue. The intervention demonstrates a statistically significant reduction in fatigue levels, suggesting Amantadine’s potential as an effective treatment for this persistent condition.

Source: Harandi, A.A., Pakdaman, H., Medghalchi, A. et al. A randomized open-label clinical trial on the effect of Amantadine on post Covid 19 fatigue. Sci Rep 14, 1343 (2024). https://doi.org/10.1038/s41598-024-51904-z https://www.nature.com/articles/s41598-024-51904-z (Full text)

Frequency and characteristics of chronic fatigue syndrome in multiple sclerosis patients at a university hospital in Eastern Saudi Arabia

Abstract:

BACKGROUND: Multiple sclerosis (MS) is a chronic, inflammatory demyelinating disease that affects various parts of the central nervous system. Fatigue, a common symptom, transient, prolonged, or chronic experienced by individuals with MS, can significantly impact daily functioning. It can be associated with underlying pathological processes or can have an idiopathic cause, such as chronic fatigue syndrome (CFS). The study aimed to assess the presence and etiology of fatigue in MS patients and its relationship with CFS.

MATERIALS AND METHODS: This cross-sectional study was conducted in the Eastern Province of Saudi Arabia. Data were collected using a questionnaire from a sample of 225 MS patients receiving care at our university hospital. The questionnaire included the Centers for Disease Control and Prevention (CDC) criteria for diagnosing CFS and the Expanded Disability Status Scale to evaluate fatigue in MS patients.

RESULTS: Of the total of 225 MS patients who participated in this study, 87.1% were diagnosed with relapsing-remitting MS, 6.7% with primary progressive MS, 3.6% with clinically isolated syndrome, and 2.7% with secondary progressive MS. About 53% had experienced fatigue that persisted for over 6 months. Analysis of CFS diagnosis revealed that 7.3% of patients met both CDC criteria and self-reported answers while 17.5% reported having CFS despite not meeting the CDC criteria. These findings highlight a significant lack of agreement between patient-reported diagnoses and established criteria, indicating poor agreement (P = 0.028).

CONCLUSION: The study found an association between CFS and MS, and a significant impact on daily functioning. The study revealed lack of agreement between patient-reported diagnoses and established criteria for CFS. This emphasizes the need for a standardized approach to diagnosis and evaluation of fatigue in MS patients.

Source: AlAmri, Abdullah S.; AlShamrani, Foziah J.; AlMohish, Noor M.; Zafar, Azra S.; Alnaaim, Saud A.1; Alazman, Hatem A.; Al-Ghanimi, Ibrahim A.2; AlNahdi, Abdullah A.; AlDawsari, Fahad A.; AlMatrafi, Shahad B.3; Alzahrani, Ghaida R.3; Alnamlah, Muna S.; Alkhalifa, Rawan A.. Frequency and characteristics of chronic fatigue syndrome in multiple sclerosis patients at a university hospital in Eastern Saudi Arabia. Journal of Family and Community Medicine 31(1):p 63-70, Jan–Mar 2024. | DOI: 10.4103/jfcm.jfcm_73_23 https://journals.lww.com/jfcm/fulltext/2024/31010/frequency_and_characteristics_of_chronic_fatigue.9.aspx (Full text)

Acupoint massage at Shenque (CV 8) for chronic fatigue syndrome: a randomized controlled trial

Abstract:

in English, Chinese

Objectives: To observe the clinical efficacy of acupoint massage at Shenque (CV 8) for chronic fatigue syndrome (CFS).

Methods: A total of 71 patients with CFS were randomized into an observation group (36 cases, 2 cases were eliminated, 3 cases dropped out) and a control group (35 cases). Using a specially made massage instrument, acupoint massage was adopted at the the five points of Shenque (CV 8), i.e. the center and the upper, lower, left, and right parts of the inner wall. The manipulation was given 10 min a time, once every 2 days, 3 times a week for 4 weeks continuously. No intervention was delivered in the control group. Before and after treatment, the scores of fatigue scale-14 (FS-14) and Pittsburgh sleep quality index (PSQI) were observed, and the clinical efficacy was evaluated in the both groups.

Results: After treatment, the physical fatigue and mental fatigue scores, as well as the total score of FS-14 were decreased compared with those before treatment in the observation group (P<0.001); the above scores in the observation group were lower than those in the control group (P<0.001). After treatment, excepted for the sleep time and hypnotic scores, the remaining item scores and the total score of PSQI were decreased compared with those before treatment in the observation group (P<0.05); the each item score and the total score of PSQI were lower than those in the control group (P<0.05). The total effective rate in the observation group was superior to that in the control group (P<0.01).

Conclusions: Acupoint massage at Shenque (CV 8) can effectively improve the fatigue state and sleep quality in patients with chronic fatigue syndrome.

Source: Li Z, Ji R, Yan C, Chen Y, Cao Z, Wang J. Acupoint massage at Shenque (CV 8) for chronic fatigue syndrome: a randomized controlled trial. Zhongguo Zhen Jiu. 2023 Jan 12;44(1):67-70. English, Chinese. doi: 10.13703/j.0255-2930.20230307-0002. PMID: 38191162. https://pubmed.ncbi.nlm.nih.gov/38191162/

Post Viral Pain, Fatigue, and Sleep Disturbance Syndromes: Current knowledge and Future Directions

Abstract:

Post-viral pain syndrome, also known as post-viral syndrome (PVS), is a complex condition characterized by persistent pain, fatigue, musculoskeletal pain, neuropathic pain, neurocognitive difficulties, and sleep disturbances1,2 that can occur after an individual has recovered from a viral infection. Much remains unknown regarding the pathophysiology of post-viral syndromes and few studies have provided a comprehensive summary of the condition, agents that cause it, and successful treatment modalities.

With the COVID-19 pandemic continuing to affect millions of people worldwide, the need for understanding the etiology of post-viral illness and how to help individuals cope with the sequalae is paramount.2 This narrative review provides a summary of the sequelae of post-viral syndromes, viral agents that cause it, the pathophysiology, treatment, and future considerations for research and targeted therapies.

Source: Caleb Tackey, P. Maxwell Slepian, Hance Clarke & Nimish Mittal (2023) Post Viral Pain, Fatigue, and Sleep Disturbance Syndromes: Current knowledge and Future Directions, Canadian Journal of Pain, DOI: 10.1080/24740527.2023.2272999 https://www.tandfonline.com/doi/full/10.1080/24740527.2023.2272999 (Full text)

Integrated ‘omics analysis for the gut microbiota response to moxibustion in a rat model of chronic fatigue syndrome

Abstract:

Objective: To observe the efficacy of moxibustion in the treatment of chronic fatigue syndrome (CFS) and explore the effects on gut microbiota and metabolic profiles.

Methods: Forty-eight male Sprague-Dawley rats were randomly assigned to control group (Con), CFS model group (Mod, established by multiple chronic stress for 35 d), MoxA group (CFS model with moxibustion Shenque (CV8) and Guanyuan (CV4), 10 min/d, 28 d) and MoxB group (CFS model with moxibustion Zusanli (ST36), 10 min/d, 28 d).

Open-field test (OFT) and Morris-water-maze test (MWMT) were determined for assessment the CFS model and the therapeutic effects of moxibustion.16S rRNA gene sequencing analysis based gut microbiota integrated untargeted liquid chromatograph-mass spectrometer (LC-MS) based fecal metabolomics were executed, as well as Spearman correlation analysis, was utilized to uncover the functional relevance between the potential metabolites and gut microbiota.

Results: The results of our behavioral tests showed that moxibustion improved the performance of CFS rats in the OFT and the MWMT. Microbiome profiling analysis revealed that the gut microbiomes of CFS rats were less diverse with altered composition, including increases in pro-inflammatory species (such as Proteobacteria) and decreases in anti-inflammatory species (such as Bacteroides, Lactobacillus, Ruminococcus, and Prevotella). Moxibustion partially normalized these changes in the gut microbiota.

Furthermore, CFS was associated with metabolic disorders, which were effectively ameliorated by moxibustion. This was demonstrated by the normalization of 33 microbiota-related metabolites, including mannose (P = 0.001), aspartic acid (P = 0.009), alanine (P = 0.007), serine (P = 0.000), threonine (P = 0.027), methionine (P = 0.023), 5-hydroxytryptamine (P = 0.008), alpha-linolenic acid (P = 0.003), eicosapentaenoic acid (P = 0.006), hypoxanthine (P = 0.000), vitamin B6 (P = 0.000), cholic acid (P = 0.013), and taurocholate (P = 0.002).

Correlation analysis showed a significant association between the perturbed fecal microbiota and metabolite levels, with a notable negative relationship between LCA and Bacteroides.

Conclusions: In this study, we demonstrated that moxibustion has an antifatigue-like effect. The results from the 16S rRNA gene sequencing and metabolomics analysis suggest that the therapeutic effects of moxibustion on CFS are related to the regulation of gut microorganisms and their metabolites. The increase in Bacteroides and decrease in LCA may be key targets for the moxibustion treatment of CFS.

Source: Chaoran LI, Yan Y, Chuwen F, Heng LI, Yuanyuan QU, Yulin W, Delong W, Qingyong W, Jing G, Tianyu S, Xiaowei S, Xue W, Yunlong H, Zhongren S, Tiansong Y. Integrated ‘omics analysis for the gut microbiota response to moxibustion in a rat model of chronic fatigue syndrome. J Tradit Chin Med. 2023 Oct;43(6):1176-1189. doi: 10.19852/j.cnki.jtcm.20231018.004. PMID: 37946480; PMCID: PMC10623263. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623263/ (Full text)

Fatigue in post COVID-19 patients: the P4O2 COVID-19 study

Abstract:

Background: Some patients do not fully recover after COVID-19 and have symptoms occurring 3 months after acute illness, lasting for >2 months, defined as post COVID-19. Fatigue seems most present in post COVID-19 and part of the patients might develop symptoms similar to chronic fatigue syndrome.

Aim: To determine the occurrence of fatigue and other symptoms in post COVID-19 patients.

Methods: In the prospective P4O2 COVID-19 cohort, post COVID-19 patients aged 40-65 years were recruited from outpatient post-COVID clinics in 5 Dutch hospitals between May 2021-September 2022. At 3-6 months post-COVID, patients completed the Fatigue Severity Scale (FSS). If the FSS score was ≥4 (the cut-off for severe fatigue), patients also completed the DePaul Symptom Questionnaire version 2 (DSQ-2). The FSS ranges from 1-7 and a higher score means more fatigued. The DSQ-2 rates frequency and severity of 79 symptoms on a 5-point Likert scale. Binary thresholds (if scored ≥2 on both severity and frequency, the threshold is met and the symptom is present) were calculated.

Results: The mean age of the 78 included patients was 53.9±6.2 and 51.7% were male. Median (IQR) FSS score was 5.6 (4.2-6.3) and 66 patients (84.6%) had a score ≥4. According to the DSQ-2 (n=61), patients reported a median (IQR) of 16 (8-23) symptoms. The majority of the patients experienced fatigue (85%). Furthermore, post-exertional malaise (PEM) (40%), sleep-related problems (37%), pain (21%) and neurocognitive problems (23%) were frequently reported.

Conclusion: The occurrence of severe fatigue 3-6 months after COVID-19 was 84.6% in our cohort. Patients with severe fatigue also frequently reported PEM, sleep related problems, pain and neurocognitive problems.

Source: Merel E.B. Cornelissen, Lizan D. Bloemsma, Nadia Baalbaki, Somayeh Bazdar, Jelle M. Blankestijn, Inés Beekers, Rosanne J.H.C.G. Beijers, Joop P. Van Den Bergh, Debbie Gach, J.J. Miranda Geelhoed, Sebastiaan Holverda, Laura Houweling, John J. Jacobs, Renée Jonker, Ivo Van Der Lee, Paulien M.A. Linders, Lieke C.E. Noij, Esther J. Nossent, Marianne A. Van De Pol, Daphne W. Schaminee, Annemie M.W.J. Schols, Lisanne T. Schuurman, Brigitte Sondermeijer, Anouk W. Vaes, Els J.M. Weersink, Yolanda De Wit-Van Wijck, Martijn A. Spruit, Anke H. Maitland-Van Der Zee. Fatigue in post COVID-19 patients: the P4O2 COVID-19 study. European Respiratory Journal 2023 62: PA4574; DOI: 10.1183/13993003.congress-2023.PA4574 https://erj.ersjournals.com/content/62/suppl_67/PA4574.abstract

Fatigue, chronic fatigue syndrome and migraine: Intersecting the lines through a cross-sectional study in patients with episodic and chronic migraine

Abstract:

Objectives: Fatigue is a common symptom occurring in a variety of disorders. Chronic fatigue syndrome (CFS) is characterized by debilitating fatigue as the core symptom. The risk of CFS is nearly 1.5 times higher in migraine while headaches have been reported in 59% of cases with CFS. However, details of its occurrence and severity remain largely unexplored.

The primary objective of our study was to determine the occurrence and severity of fatigue and CFS in patients with episodic and chronic migraine. The secondary objectives were to define their relationship with other common comorbidities.

Materials and methods: 60 migraine patients (30 each, episodic [EM] and chronic migraine [CM]) were recruited from Neurology Outpatient Department, GIPMER a tertiary referral center in New Delhi, India. Patients’ headache severity was analyzed using the Headache impact test-6 (HIT-6) score while fatigue and other migraine accompaniments were assessed using Fatigue severity scale (FSS), Chalder fatigue scale, CDC diagnostic criteria for CFS, American College of Rheumatology Diagnostic Criteria for fibromyalgia, Hamilton Depression Scale, the Generalized Anxiety Disorder 7-Item Scale, and Epworth sleepiness Scale (ESS). Comparative analysis was further done among migraine patients with and without fatigue and CFS.

Results: The mean HIT-6 score was significantly higher in CM versus EM. The CM group had a higher mean FSS score (47.87 vs. 37.3 in EM; P = 0.004), a percentage of patients with severe fatigue (60% vs. 20% in EM; P = 0.004), and a higher percentage of patients with pathological fatigue (83.3% vs. 63.3% in EM; P = 0.04). Around 23.33% of CM patients fulfilled the criteria of CFS. Fatigue correlated positively with severity, frequency, attack duration and chronicity of the migraine episodes, along with depression, anxiety, and excessive daytime sleepiness.

Conclusion: Fatigue and related comorbid disorders are significantly more common in CM than in EM, expanding the morbidity of the condition and underscores the need to address these accompanying symptoms for devising a holistic treatment plan.

Source: Kumar H, Dhamija K, Duggal A, Khwaja GA, Roshan S. Fatigue, chronic fatigue syndrome and migraine: Intersecting the lines through a cross-sectional study in patients with episodic and chronic migraine. J Neurosci Rural Pract. 2023 Jul-Sep;14(3):424-431. doi: 10.25259/JNRP_63_2022. Epub 2023 Apr 20. PMID: 37692810; PMCID: PMC10483198. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483198/ (Full text)

The demographic features of fatigue in the general population worldwide: a systematic review and meta-analysis

Abstract:

Background: Fatigue is one of the most common subjective symptoms that impairs daily life and predict health-related events. This study aimed to estimate the prevalence of fatigue in the global population.

Methods: PubMed and the Cochrane Library were used to search for relevant articles from inception to December 31, 2021. Studies with prevalence data of fatigue in the general population were selected and reviewed by three authors independently and cross-checked. Regarding subgroups, adults (≥18 years), minors (<18 years), and specific occupation population (participants in each study being limited to a specific occupational group), and fatigue types and severity, meta-analysis was conducted to produce point estimates and 95% confidence intervals (95% CI).

Results: From the initial 3,432 studies, 91 studies accounting for 115 prevalence data points (623,624 participants) were finally selected. The prevalence of general fatigue (fatigue lasting < 6 months, or fatigue of unspecified duration) was 20.4% (95% CI, 16.7–25.0) in adults, 11.7% (95% CI, 5.2–26.6) in minors, and 42.3% (95% CI, 33.0–54.2) in specific occupations. Chronic fatigue (fatigue lasting more than 6 months) affected 10.1% (95% CI, 8.2–12.5) of adults, 1.5% (95% CI, 0.5–4.7) of minors, and 5.5% (95% CI, 1.4–21.6) of subjects in specific occupations. There was an overall female-predominant prevalence for all subgroup analyses, with a total odds ratio of 1.4 (95% CI, 1.3–1.6).

Regarding the severity and presence of medical causes, the total prevalence of moderate fatigue [14.6% (95% CI, 9.8–21.8)] was 2.4-fold that of severe fatigue [6.1% (95% CI, 3.4–11.0)], while unexplained fatigue (fatigue experienced by individuals without any underlying medical condition that can explain the fatigue) was ~2.7-fold that of explained fatigue (fatigue experienced by individuals with a medical condition that can explain the fatigue); as proportion of 40.0% of physical, 8.6% of mental, and 28.4% of mixed cause.

Conclusions: This study has produced the first comprehensive picture of global fatigue prevalence in the general population, which will provide vital reference data contributing to fatigue-related research, including the prevention of diseases.

Source: Yoon JH, Park NH, Kang YE, Ahn YC, Lee EJ, Son CG. The demographic features of fatigue in the general population worldwide: a systematic review and meta-analysis. Front Public Health. 2023 Jul 28;11:1192121. doi: 10.3389/fpubh.2023.1192121. PMID: 37575103; PMCID: PMC10416797. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416797/ (Full text)