Tag: multiple sclerosis

Neuropsychological impairments in chronic fatigue syndrome, multiple sclerosis, and depression

Abstract:

To examine the degree and nature of cognitive impairments in chronic fatigue syndrome, a comprehensive neuropsychological battery was given to patients with chronic fatigue syndrome, multiple sclerosis, depressed patients, and healthy controls. The battery included tests of attention and concentration, information processing speed, verbal and visual memory, intellectual ability, and concept formation. Measures of depression and anxiety were also obtained.

The chronic fatigue syndrome group did not differ from the depressed group in overall neuropsychological performance, but differed from the multiple sclerosis and control groups. The most significant impairment was in information processing speed in the chronic fatigue syndrome group. Depression and anxiety were not related to neuropsychological performance. The influence of reduced information processing on other areas of cognition is discussed.

 

Source: DeLuca J, Johnson SK, Beldowicz D, Natelson BH. Neuropsychological impairments in chronic fatigue syndrome, multiple sclerosis, and depression. J Neurol Neurosurg Psychiatry. 1995 Jan;58(1):38-43. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1073266/ (Full article)

 

Fatigue secondary to chronic illness: postpolio syndrome, chronic fatigue syndrome, and multiple sclerosis

Abstract:

Estimates of the percentage of patients with postpolio syndrome, chronic fatigue syndrome, and multiple sclerosis who experience fatigue range from approximately 75% to 100%. In this study we describe the severity of fatigue and its impact on subjects with these three diagnoses.

The Fatigue Severity Scale, the Human Activity Profile, and the Nottingham Health Profile were used to measure fatigue, activity, and health status respectively of each diagnostic group as well as a control group. Using a Kruskal-Wallis one-way analysis of variance followed by a Bonferroni-adjusted Mann Whitney U test all diagnostic groups reported significantly higher levels (p = .0000 to p = .002) of fatigue and lower perceived health status than the control group.

Subjects with chronic fatigue and multiple sclerosis also had significantly reduced activity levels (p = .002 to p = .01) compared with the control group. Further attention should be directed toward understanding the relationship between fatigue and ability to engage in activities as well as strategies for remediation and/or compensation of the fatigue.

 

Source: Packer TL, Sauriol A, Brouwer B. Fatigue secondary to chronic illness: postpolio syndrome, chronic fatigue syndrome, and multiple sclerosis. Arch Phys Med Rehabil. 1994 Oct;75(10):1122-6. http://www.ncbi.nlm.nih.gov/pubmed/7944918

 

Cognitive functioning and depression in patients with chronic fatigue syndrome and multiple sclerosis

Abstract:

OBJECTIVE: To assess cognitive function in patients with chronic fatigue syndrome (CFS) and multiple sclerosis (MS) and to evaluate the role of depressive symptoms in cognitive performance.

DESIGN: Case-control. All subjects were given a neuropsychological battery, self-report measures of depression and fatigue, and a global cognitive impairment rating by a neuropsychologist “blinded” to clinical diagnosis. Patients with MS and CFS were additionally evaluated with a Structured Clinical Interview for DSM-III-R (Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition) disorders.

SETTING: Institutional and private neurological practices and the community at large.

PATIENTS: Twenty patients with CFS diagnosed in accord with the Centers for Disease Control and Prevention-revised criteria who had cognitive complaints; 20 patients with clinically definite MS who were ambulatory and were matched for fatigue severity, age, and education to CFS subjects; and 20 age- and education-matched healthy controls.

RESULTS: Patients with CFS had significantly elevated depression symptoms compared with patients with MS and healthy controls (P < .001) and had a greater lifetime prevalence of depression and dysthymia compared with MS subjects. Patients with CFS, relative to controls, performed more poorly on the Digit Symbol subtest (P = .023) and showed a trend for poorer performance on logical memory (P = .087). Patients with MS compared with controls had more widespread differences of greater magnitude on the Digit Span (P < .004) and Digit Symbol (P < .001), Trail Making parts A (P = .022) and B (P = .037), and Controlled Oral Word Association (P = .043) tests. Patients with MS also showed a trend of poorer performance on the Booklet Category Test (P = .089). When patients with CFS and MS were directly compared, MS subjects had lower scores on all measures, but the differences reached significance only for the Digit Span measure of attention (P = .035).

CONCLUSIONS: Patients with CFS compared with MS have more depressive symptoms but less cognitive impairment. Relative to controls, a subset of CFS subjects did poorly on tests of visuomotor search and on the logical memory measure of the Wechsler Memory Scale-revised. Poor performance of logical memory in CFS appears to be related to depression, while visuomotor deficits in CFS are unrelated. Cognitive deficits in patients with MS are more widespread compared with those in patients with CFS and are independent of depressive symptoms.

 

Source: Krupp LB, Sliwinski M, Masur DM, Friedberg F, Coyle PK. Cognitive functioning and depression in patients with chronic fatigue syndrome and multiple sclerosis. Arch Neurol. 1994 Jul;51(7):705-10. http://www.ncbi.nlm.nih.gov/pubmed/8018045

 

Neuropsychiatric status of patients with chronic fatigue syndrome: an overview

Abstract:

Chronic fatigue syndrome (CFS) is an illness that results in debilitating fatigue as well as rheumatological, infectious, and neuropsychiatric symptoms. The present paper is a brief overview of the neuropsychological and psychiatric research on CFS. Studies from our laboratory contrasting CFS with patients with multiple sclerosis, depression, and healthy controls are detailed. Our hypothesis of neuropsychological impairments in CFS is discussed.

 

Source: Deluca J, Johnson SK, Natelson BH. Neuropsychiatric status of patients with chronic fatigue syndrome: an overview. Toxicol Ind Health. 1994 Jul-Oct;10(4-5):513-22. http://www.ncbi.nlm.nih.gov/pubmed/7778111

 

Measuring the functional impact of fatigue: initial validation of the fatigue impact scale

Abstract:

The fatigue impact scale (FIS) was developed to improve our understanding of the effects of fatigue on quality of life. The FIS examines patients’ perceptions of the functional limitations that fatigue has caused over the past month. FIS items reflect perceived impact on cognitive, physical, and psychosocial functioning.

This study compared 145 patients referred for investigation of chronic fatigue (ChF) with 105 patients with multiple sclerosis (MS) and 34 patients with mild hypertension (HT). Internal consistency for the FIS and its three subscales was > .87 for all analyses. Fatigue impact was highest for the ChF group although the MS group’s reported fatigue also exceeded that of the HT group. Discriminant function analysis correctly classified 80.0% of the ChF group and 78.1% of the MS group when these groups were compared.

This initial validation study indicates that the FIS has considerable merit as a measure of patient’s attribution of functional limitations to symptoms of fatigue.

 

Source: Fisk JD, Ritvo PG, Ross L, Haase DA, Marrie TJ, Schlech. Measuring the functional impact of fatigue: initial validation of the fatigue impact scale. Clin Infect Dis. 1994 Jan;18 Suppl 1:S79-83. http://www.ncbi.nlm.nih.gov/pubmed/8148458

 

Sleep disturbance in chronic fatigue syndrome

Abstract:

Sleep and fatigue characteristics were evaluated in 72 patients who met major criteria for the chronic fatigue syndrome (CFS), 57 multiple sclerosis (MS) patients preselected for fatigue complaints, and 40 healthy controls.

Using previously validated rating scales, CFS patients had significant elevations in fatigue and sleep disturbance compared to the MS and healthy control groups. To confirm these subjective measures, polysomnography was carried out in a subgroup of CFS patients who included sleep disturbance as one of their symptoms on initial clinical interview.

In 10 of 16 (62.5%) polysomnography revealed clinically significant and potentially treatable sleep abnormalities. Their sleep disorders included periodic movement disorder (4), excessive daytime sleepiness (3), apnea (2), and narcolepsy (1).

We conclude that subjective sleep disturbance is common in CFS and some CFS patients may have objective sleep disorders.

 

Source: Krupp LB, Jandorf L, Coyle PK, Mendelson WB. Sleep disturbance in chronic fatigue syndrome. J Psychosom Res. 1993 May;37(4):325-31. http://www.ncbi.nlm.nih.gov/pubmed/8510058

 

Information processing efficiency in chronic fatigue syndrome and multiple sclerosis

Abstract:

OBJECTIVE: To compare the cognitive performance of subjects with chronic fatigue syndrome (CFS), multiple sclerosis (MS), and healthy controls. All subjects were matched for age, education, and verbal intelligence, as previous neuropsychological studies of CFS had not used appropriate control groups.

DESIGN: Case-control design. All subjects were given a neuropsychological battery and the test scores were compared among the groups.

SETTING: Subjects with CFS and subjects with MS were recruited from private and institutional practice and from the community. Healthy subjects were recruited from the community.

PATIENTS/OTHER PARTICIPANTS: Twelve subjects (all female) with CFS participated in the study. Chronic fatigue syndrome was diagnosed in these patients in accordance with the requirements outlined by the Centers for Disease Control as modified subsequently to not exclude patients with concurrent depression and/or anxiety. All subjects with CFS were referred for a neuropsychological examination to assess persistent cognitive complaints. Eleven subjects (10 female, one male) with the diagnosis of clinically stable MS were chosen from clinics and the community because of complaints of mild to moderate cognitive impairment. The subjects with MS and 11 healthy volunteers (10 female, one male) were matched to the group with CFS by age, education, and estimated verbal intelligence (based on the Vocabulary subtest of the Wechsler Adult Intelligence Scale-Revised). The subjects with MS had a mean Kurtzke Expanded Disability Status Scale score of 4.95 (SD, 1.95; range, 2.0 to 7.5). As a result of the matching procedure, there were no differences among the three groups in age (F[2,31] = 0.32), education (F[2,31] = 0.80), and verbal intelligence (F[2,31] = 0.31).

INTERVENTIONS: None.

MAIN OUTCOME MEASURES: These measures included the Beck Depression Inventory (BDI), the Paced Auditory Serial Addition Test (PASAT), Digit Span Test, and the Similarities Test of Verbal Abstract Reasoning.

RESULTS: The mean number of correctly identified responses collapsed across the four PASAT trials was significantly different across groups (F[2,31] = 4.03; P < .05). While the CFS and MS groups did not differ from each other, subjects with CFS (SEM, 124.2 +/- 6.4) and subjects with MS (SEM, 112.9 +/- 10.9) scored significantly below controls (SEM, 146.4 +/- 6.4) (Fisher’s Protected Least Significant Difference test; P < .05). There were significant differences among the three groups on mean Digit Span Test performance (F[2,31] = 5.5; P < .01). While the CFS and MS group did not differ significantly from each other, only the CFS group was significantly lower than control (Fisher’s Protected Least Significant Difference test; P < .05). Mean performance on the Similarities test did not differ among the three groups (F = 0.58). In addition, there were significant differences among the three groups in mean BDI scores (F[2,31] = 7.6; P < .01). The CFS and MS groups did not differ significantly from each other, and both groups showed a statistically significantly elevated mean BDI score relative to the control group (Fisher’s Protected Least Significant Difference test; P < .05). No significant correlations were found between BDI scores and PASAT total scores (CFS, r = -.21; MS, r = .13; control, r = .27), or between BDI and Digit Span Test (CFS, r = -.32; MS, r = -.40; control, r = -.19). Results of the PASAT and Digit Span Test were significantly correlated in the CFS group (r = .71; P < .01), but not in the MS (r = .06) or control groups (r = .49).

CONCLUSIONS: These results indicate that subjects with CSF and subjects with MS show significant impairment on a test of complex concentration when compared with appropriate controls. The data suggest that subjects with CFS and subjects with MS have difficulty on tasks that require the simultaneous processing of complex cognitive information. Selective impairment in information processing efficiency may lie at the root of other cognitive complaints made by patients with CFS.

 

Source: DeLuca J, Johnson SK, Natelson BH. Information Processing Efficiency in Chronic Fatigue Syndrome and Multiple Sclerosis.Arch Neurol. 1993;50(3):301-304. doi:10.1001/archneur.1993.00540030065016. http://archneur.jamanetwork.com/article.aspx?articleid=592247

 

A comparison of neuropsychiatric characteristics in chronic fatigue syndrome, multiple sclerosis, and major depression

Abstract:

Chronic fatigue syndrome (CFS), a controversial clinical entity characterized by severe fatigue and constitutional symptoms, has been associated with a variety of psychiatric disorders. To further understand the psychiatric profile of CFS, the authors compared patients with CFS, multiple sclerosis (MS), and major depression by using diagnostic interviews and self-report measures of Axis I disorders and personality disorders. CFS patients differed from patients with major depression, with significantly less depression and fewer personality disorders. Compared with MS patients, CFS patients did not differ with regard to personality disorders. However, they did have significantly more frequent current depression than MS patients, particularly following onset of their illness.

 

Source: Pepper CM, Krupp LB, Friedberg F, Doscher C, Coyle PK. A comparison of neuropsychiatric characteristics in chronic fatigue syndrome, multiple sclerosis, and major depression. J Neuropsychiatry Clin Neurosci. 1993 Spring;5(2):200-5. http://www.ncbi.nlm.nih.gov/pubmed/8508039

 

Fatigue syndromes: new thoughts and reinterpretation of previous data

Abstract:

Recently, the author has identified 19 patients who have complained of marked fatigue that had abnormal responses to copper test bracelets or necklaces. At this time, 8 have been shown to have at least one enzyme deficiency in the heme pathway. These patients have been diagnosed with multiple sclerosis, chronic fatigue syndrome and other non-specific diagnoses. A lengthy but still limited review of the literature was performed regarding the following conditions: multiple sclerosis (MS), hepatic porphyria (HP), chronic fatigue syndrome (CFS) and paralytic polio (PP). The text will focus on similar epidemiologies, laboratory findings and clinical courses. Copper as a common but not unique etiologic agent will be discussed; as will the heme pathway, a biologic process that may be disordered in all.

 

Source: Downey DC. Fatigue syndromes: new thoughts and reinterpretation of previous data. Med Hypotheses. 1992 Oct;39(2):185-90. http://www.ncbi.nlm.nih.gov/pubmed/1461185

 

Postviral syndrome

Note: This comment appeared in the Journal of the Royal Society of Medicine, Volume 83, October 1990 in reference to The diagnosis of postviral syndrome. [J R Soc Med. 1990]

 

Postviral syndrome Dr D J D Perrins writes (June 1990 JRSM, p 413) of the difficulty in making a definitive diagnosis of postviral syndrome (myalgic encephalomyelitis, ME) echoing the paper by Dr Bowman et aL (December 1988 JRSM, p 712) and goes on to affirm ‘the clinical pattern of ME has much in common with multiple sclerosis (1). No neurologist of experience would agree with this statement. Dr Perrins admits that some of the patients he himself reported upon may in fact have had MS. Seven out of 10 MS patients will tell you the diagnosis if you listen carefully (the late Henry Miller); ‘a blind neurologist is better than a deaf one’ (Mumenthaler, Berne). The clinical course of ME and MS is usually quite different, though occasional ‘difficult’ similarities may be met with.

You can read the rest of this comment here: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1292897/pdf/jrsocmed00131-0089b.pdf

 

Source:  E. J. Field. Postviral syndrome. J R Soc Med. 1990 Oct;83(10):675-6. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1292897/