Category: Diagnosis

Sub-typing CFS patients on the basis of ‘minor’ symptoms

Abstract:

The diagnosis of chronic fatigue syndrome (CFS), an illness characterized by medically unexplained fatigue, depends on a clinical case definition representing one or more pathophysiological mechanisms. To prepare for studies of these mechanisms, this study sought to identify subtypes of CFS.

In 161 women meeting 1994 criteria for CFS, principal components analysis of the 10 ‘minor’ symptoms of CFS produced three factors interpreted to indicate musculoskeletal, infectious and neurological subtypes. Extreme scores on one or more of these factors characterized about 2/3 of the sample. Those characterized by the neurological factor were at increased risk of reduced scores on cognitive tests requiring attention, working memory, long-term memory or rapid performance.

In addition, the neurological subtype was associated with reduced levels of function. Those characterized by the musculoskeletal factor were at increased risk for the diagnosis of fibromyalgia (chronic widespread pain and mechanical allodynia) and reduced physical function. Those characterized by the infectious factor were less likely to evidence co-occurring fibromyalgia, and showed lesser risk of functional impairment.

The prevalence of disability was increased in those with the highest scores on any of the subtypes, as well as in those with high scores on multiple factors. Depression and anxiety, while frequently present, were not more prevalent in any particular subtype, and did not increase with the severity of specific symptom reports. Results suggest that subtypes of CFS may be identified from reports of the minor diagnostic symptoms, and that these subtypes demonstrate construct validity.

 

Source: Janal MN, Ciccone DS, Natelson BH. Sub-typing CFS patients on the basis of ‘minor’ symptoms. Biol Psychol. 2006 Aug;73(2):124-31. Epub 2006 Feb 10. https://www.ncbi.nlm.nih.gov/pubmed/16473456

 

The act of diagnosis: pros and cons of labelling chronic fatigue syndrome

Abstract:

BACKGROUND: One of the many controversies surrounding chronic fatigue syndrome (CFS) is the possible impact of the diagnostic label: is it disabling or enabling? In this paper, we discuss the pros and cons of labelling CFS.

METHOD: A narrative synthesis of the literature.

RESULTS: Diagnosed CFS patients have a worse prognosis than fatigue syndrome patients without such a label. The ways in which CFS patients perceive themselves, label their symptoms and appraise stressors may perpetuate or exacerbate their symptoms, a process that involves psychological, psychosocial and cultural factors. Labels can also lead to conflicts with doctors who fear diagnosis might lead to worse outcomes. However, on the other hand, finding a label that fits one’s condition can provide meaning, emotional relief and recognition, whilst the denial of the diagnosis of CFS in those who have already reached their own conclusion can be very counter productive. The act of diagnosis therefore seems to be a trade-off between empowerment, illness validation and group support, contrasted with the risk of diagnosis as self-fulfilling prophecy of non-recovery.

CONCLUSIONS: The answer to the question of ‘to label or not to label’ may turn out to depend not on the label, but on what that label implies. It is acceptable and often beneficial to make diagnoses such as CFS, provided that this is the beginning, and not the end, of the therapeutic encounter.

 

Source: Huibers MJ, Wessely S. The act of diagnosis: pros and cons of labelling chronic fatigue syndrome. Psychol Med. 2006 Jul;36(7):895-900. Epub 2006 Jan 10. https://www.ncbi.nlm.nih.gov/pubmed/16403245

 

The prognosis of different fatigue diagnostic labels: a longitudinal survey

Abstract:

BACKGROUND: Several different diagnostic labels exist for the fatigue syndromes, including chronic fatigue syndrome (CFS), myalgic encephalomyelitis (ME) and postviral fatigue syndrome (PVFS). An allied condition is fibromyalgia. No study has examined prognostic differences across these different labels.

OBJECTIVE: To compare the prognoses of patients labelled with different fatigue syndromes in primary care.

METHODS: We performed a longitudinal survey, using electronic records from the General Practice Research Database. All 18,122 patients diagnosed by their GP with a fatigue syndrome from 1988-2001 with a minimum of one year of records after diagnosis were collated into four groups: CFS, ME, PVFS and fibromyalgia. CFS and ME were combined for the main analysis as no code for CFS was available until 1995. The length of illness was calculated as the interval between the diagnosis and the last recorded fatigue symptom, expressed as days per year, to account for differing lengths of record after diagnosis.

RESULTS: Patients with CFS/ME combined had a worse prognosis (median length of illness 80 days per year; interquartile range 0-242) than fibromyalgia (51; 0-244) or PVFS 0 (0-108), a significant difference, P < 0.001. In a subgroup analysis, ME had a worse prognosis (median length of illness in days per year 106; interquartile range 0-259) than CFS (33; 0-170), P < 0.001, in spite of a better course before diagnosis. Secondary outcome measures were consistent with these results.

CONCLUSION: There were important differences in outcome between the various fatigue labels, with ME having the worst prognosis and PVFS the best. This could be an adverse effect of the label ME itself. Alternatively, patients who are destined to have a worse prognosis may preferentially attract the ME label. Our data support the first interpretation.

 

Source: Hamilton WT, Gallagher AM, Thomas JM, White PD. The prognosis of different fatigue diagnostic labels: a longitudinal survey. Fam Pract. 2005 Aug;22(4):383-8. Epub 2005 Apr 1. http://fampra.oxfordjournals.org/content/22/4/383.long (Full article)

 

Factors influencing the diagnosis of chronic fatigue syndrome

Abstract:

BACKGROUND: Most of what is believed about chronic fatigue syndrome (CFS) is based on clinic-based studies. These studies may not reflect CFS cases in the population.

METHODS: We used data from a population-based study of CFS to identify factors associated with receiving a CFS diagnosis. Wichita, Kan, residents were screened by random-digit dialing. Eligible individuals completed a telephone interview. Respondents meeting CFS criteria were invited for a clinical evaluation to confirm CFS. We analyzed all persons with confirmed CFS. The main outcomes of this study, prevalence and incidence of CFS, are published elsewhere. Herein, we present an exploratory analysis with previous CFS diagnosis as the outcome, predicted by demographic and symptom characteristics.

RESULTS: We confirmed CFS in 90 subjects; 14 (16%) had been previously diagnosed as having CFS. Persons in the middle- vs the higher-income group were more likely to have been diagnosed as having CFS (9 [29%] of 31 subjects vs 3 [8%] of 39 subjects; P = .03), as were those with sudden vs gradual fatigue onset (7 [41%] of 17 subjects vs 4 [6%] of 64 subjects; P < .01), those reporting tender lymph nodes (7 [33%] of 21 subjects vs 7 [10%] of 69 subjects; P = .02), and those reporting a sore throat (6 [35%] of 17 subjects vs 8 [11%] of 73 subjects; P = .02). Only 17 (21%) of 81 subjects had sudden fatigue onset, and tender lymph nodes (reported in 21 [23%] of 90 subjects) and a sore throat (reported in 17 [19%] of 90 subjects) were the least common symptoms.

CONCLUSION: Most cases of CFS in the population are unrecognized by the medical community; persons diagnosed as having CFS may be different from persons with CFS in the general population.

 

Source: Solomon L, Reeves WC. Factors influencing the diagnosis of chronic fatigue syndrome. Arch Intern Med. 2004 Nov 8;164(20):2241-5. http://www.ncbi.nlm.nih.gov/pubmed/15534161

 

Altered central nervous system signal during motor performance in chronic fatigue syndrome

Abstract:

OBJECTIVE: The purpose of this study was to determine whether brain activity of chronic fatigue syndrome (CFS) patients during voluntary motor actions differs from that of healthy individuals.

METHODS: Eight CFS patients and 8 age- and gender-matched healthy volunteers performed isometric handgrip contractions at 50% maximal voluntary contraction level. They first performed 50 contractions with a 10 s rest between adjacent trials–‘Non-Fatigue’ (NFT) task. Subsequently, the same number of contractions was performed with only a 5 s rest between trials–‘Fatigue’ (FT) task. Fifty-eight channels of surface EEG were recorded simultaneously from the scalp. Spectrum analysis was performed to estimate power of EEG frequency in different tasks. Motor activity-related cortical potential (MRCP) was derived by triggered averaging of EEG signals associated with the muscle contractions.

RESULTS: Major findings include: (i) Motor performance of the CFS patients was poorer than the controls. (ii) Relative power of EEG theta frequency band (4-8 Hz) during performing the NFT and FT tasks was significantly greater in the CFS than control group (P < 0.05). (iii) The amplitude of MRCP negative potential (NP) for the combined NFT and FT tasks was higher in the CFS than control group (P < 0.05) (iv) Within the CFS group, the NP was greater for the FT than NFT task (P<0.01), whereas no such difference between the two tasks was found in the control group.

CONCLUSIONS: These results clearly show that CFS involves altered central nervous system signals in controlling voluntary muscle activities, especially when the activities induce fatigue.

SIGNIFICANCE: Physical activity-induced EEG signal changes may serve as physiological markers for more objective diagnosis of CFS.

 

Source: Siemionow V, Fang Y, Calabrese L, Sahgal V, Yue GH. Altered central nervous system signal during motor performance in chronic fatigue syndrome. Clin Neurophysiol. 2004 Oct;115(10):2372-81. http://www.ncbi.nlm.nih.gov/pubmed/15351380

 

IgM serum antibodies to Epstein-Barr virus are uniquely present in a subset of patients with the chronic fatigue syndrome

Abstract:

BACKGROUND: A unique subset of patients with chronic fatigue syndrome (CFS) and IgM serum antibodies to cytomegalovirus (HCMV) non-structural gene products p52 and CM2 (UL 44 and UL 57) has been described.

PATIENTS AND METHODS: Fifty-eight CFS patients and 68 non-CFS matched controls were studied. Serum antibodies to EBV viral capsid antigen (VCA) IgM and EBV Early Antigen, diffuse (EA, D) as well HVCMV(V), IgM and IgG; VP (sucrose, density purified V); p52 and CM2 IgM serum antibodies were assayed.

RESULTS: Mean age of CFS patients was 44 years (75% women). Control patients were 9 years older (73% women). Serum EBV VCA IgM positive antibody titers were identified in 33 CFS patients (Group A subset EBV VCA IgM 62.3+/-8.3, neg. <20), but were not present in other CFS patients, (Group B subset EBV VCA IgM 6.8+/-0.7) controls (p<0.0001). EBV VCA IgM titers remained positive in CFS patients from Group A for 24-42 months.

CONCLUSION: Serum antibody to EBV VCA IgM may be a specific diagnostic test for a second subset of CFS patients.

 

Source: Lerner AM, Beqaj SH, Deeter RG, Fitzgerald JT. IgM serum antibodies to Epstein-Barr virus are uniquely present in a subset of patients with the chronic fatigue syndrome.  In Vivo. 2004 Mar-Apr;18(2):101-6. http://iv.iiarjournals.org/content/18/2/101.long (Full article)

 

Patterns of cardiovascular reactivity in disease diagnosis

Abstract:

BACKGROUND: Aberrations of cardiovascular reactivity (CVR), an expression of autonomic function, occur in a number of clinical conditions, but lack specificity for a particular disorder. Recently, a CVR pattern particular to chronic fatigue syndrome was observed.

AIM: To assess whether specific CVR patterns can be described for other clinical conditions.

METHODS: Six groups of patients, matched for age and gender, were evaluated with a shortened head-up tilt test: patients with chronic fatigue syndrome (CFS) (n = 20), non-CFS fatigue (F) (n = 15), neurally-mediated syncope (SY) (n = 21), familial Mediterranean fever (FMF) (n = 17), psoriatic arthritis (PSOR) (n = 19) and healthy subjects (H) (n = 20). A 10-min supine phase was followed by recording 600 cardiac cycles on tilt (5-10 min). Beat-to-beat heart rate (HR) and pulse transit time (PTT) were measured. Results were analysed using conventional statistics, recurrence plot analysis and fractal analysis.

RESULTS: Multivariate analysis evaluated independent predictors of the CVR in each patient group vs. all other groups. Based on these predictors, equations were determined for a linear discriminant score (DS) for each group. The best sensitivities and specificities of the DS, consistent with disease-related phenotypes of CVR, were noted in the following groups: CFS, 90.0% and 60%; SY, 93.3% and 62.5%; FMF, 90.1% and 75.4%, respectively.

DISCUSSION: Pathological disturbances may alter cardiovascular reactivity. Our data support the existence of disease-related CVR phenotypes, with implications for pathogenesis and differential diagnosis.

 

Source: Naschitz JE, Rosner I, Rozenbaum M, Fields M, Isseroff H, Babich JP, Zuckerman E, Elias N, Yeshurun D, Naschitz S, Sabo E. Patterns of cardiovascular reactivity in disease diagnosis. QJM. 2004 Mar;97(3):141-51. http://qjmed.oxfordjournals.org/content/97/3/141.long (Full article)

 

Chronic fatigue syndrome. The patient centred clinical method–a guide for the perplexed

Abstract:

BACKGROUND: Chronic fatigue states are common in general practice and over the past 20 years there has been considerable worldwide consensus developed on the criteria for chronic fatigue syndrome (CFS) also commonly known as myalgic encephalomyelitis (ME). Chronic fatigue syndrome is an illness characterised by the new onset of disabling fatigue, accompanied by cognitive, musculoskeletal and sleep symptoms. There are no specific diagnostic tests or biological markers and the diagnosis is made by ruling out other causes of fatigue. The pathophysiology of CFS is still unclear.

OBJECTIVE: This article discusses the application of the patient centred clinical method to the diagnosis and treatment of CFS.

DISCUSSION: There is no new breakthrough in the diagnosis or management of CFS in spite of much research and controversy. There is considerable evidence that the best place to manage CFS is in primary care under the care of the patient’s own general practitioner, but it has been suggested that doctors feel unable to deal with the problem. The patient centred clinical method offers a constructive guide to management. The author considers that the best hope for sufferers is self management guided by a supportive and helpful health professional, preferably the patient’s own GP.

 

Source: Murdoch JC. Chronic fatigue syndrome. The patient centred clinical method–a guide for the perplexed. Aust Fam Physician. 2003 Nov;32(11):883-7. http://www.ncbi.nlm.nih.gov/pubmed/14650782

 

The head-up tilt test in the diagnosis and management of chronic fatigue syndrome

Fatigue, as a symptom, refers to a sense of lethargy or loss of energy. Fatigue is common in infections, endocrine disorders, heart failure, chronic diseases of the lungs, liver or kidneys, malignancies, anemia, nutritional deficits, inflammatory arthritis, Parkinson’s disease, depression, anxiety states, effect of certain medications, or drug withdrawal [1]. Population-based studies show that fatigue is one of the most common somatic symptoms, with as much as 20± 30% of the population complaining of chronic fatigue [2]. Only a small fraction of these satisfy the clinical definition criteria for chronic fatigue syndrome [1].

You can read the rest of this article here: https://www.ima.org.il/FilesUpload/IMAJ/0/54/27402.pdf

 

Source: Naschitz JE, Sabo E, Dreyfuss D, Yeshurun D, Rosner I. The head-up tilt test in the diagnosis and management of chronic fatigue syndrome. Isr Med Assoc J. 2003 Nov;5(11):807-11. https://www.ima.org.il/FilesUpload/IMAJ/0/54/27402.pdf (Full article)

 

An investigation into the psychometric properties of the Hospital Anxiety and Depression Scale in individuals with chronic fatigue syndrome

Abstract:

The study sought to determine the psychometric properties of the Hospital Anxiety and Depression Scale (HADS) in individuals with chronic fatigue syndrome (CFS) assessed using a web-based data collection tool. Exploratory and confirmatory factor analyses were conducted on the HADS to determine its psychometric properties in 117 individuals with CFS. Seven models were tested to determine model fit to the data.

Internal reliability estimations of the anxiety and depression sub-scales were found to be acceptable, however, a three-factor model was found to provide a significantly better fit to the data when compared to the bi-dimensional two-factor structure previously assumed to underpin the HADS’ construct validity.

The clinical utility of the HADS in the assessment of anxiety and depression in CFS appears to be fundamentally compromised by the presence of a three-dimensional underlying factor structure. Future revision of the HADS is recommended if the instrument is to be used reliably to screen CFS patients.

 

Source: McCue P, Martin C, Buchanan T, Rodgers J, Scholey A. An investigation into the psychometric properties of the Hospital Anxiety and Depression Scale in individuals with chronic fatigue syndrome. Psychol Health Med. 2003 Nov;8(4):425-39. doi: 10.1080/1354850310001604568. http://www.ncbi.nlm.nih.gov/pubmed/21974733