Sub-typing daily fatigue progression in chronic fatigue syndrome

Abstract:

BACKGROUND: Activity logs involve patients writing down their activities and symptoms over 1 or more days. Aims This study sought to classify daily fatigue patterns among patients with chronic fatigue syndrome (CFS) using activity logs.

METHOD: Fatigue intensity was self-reported every 30 min in a sample of 90 patients with CFS over 1 day. A cluster analysis using fatigue intensity, variability and slope was conducted.

RESULTS: Three clusters emerged involving patients with different trajectories. One group evidenced high fatigue intensity, low variability, and fatigue intensity stayed the same over time. A second group had moderate fatigue intensity, high variability, and fatigue intensity decreased over time. A third group had moderate fatigue intensity, high variability, but fatigue intensity increased over time. The three clusters of patients differed on measures of actigraphy, pain and immune functioning.

CONCLUSIONS: Activity logs can provide investigators and clinicians with valuable sources of data for understanding patterns of fatigue and activity among patients with CFS.

 

Source: Jason LA, Brown MM. Sub-typing daily fatigue progression in chronic fatigue syndrome. J Ment Health. 2013 Feb;22(1):4-11. doi: 10.3109/09638237.2012.670879. Epub 2012 May 1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3889482/ (Full article)

 

Subjective sleep quality and daytime sleepiness in a large sample of patients with chronic fatigue syndrome (CFS)

Abstract:

Chronic fatigue syndrome (CFS) is characterised by incapacitating fatigue in combination with a number of minor criteria, including unrefreshing sleep without further specifications, in the absence of psychiatric and internal disease. As little data exist on subjective sleep quality and daytime sleepiness, these parameters were assessed in a large sample of CFS patients.

Consecutive patients with a diagnosis of CFS in a tertiary referral centre filled out the Fatigue Questionnaire (FQ), Medical Outcomes Study 36-Item Short Form Health Survey (MOS SF-36), Epworth Sleepiness Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI). Inclusion comprised 415 individuals (mean age 40.5 yr, SD 7.9, range 18-64; 86% female). Mean FQ (26.90; SD 4.04), mean Global Physical Health from the MOS SF-36 (29.30; SD 12.25) and Global Mental Health from the MOS SF-36 (49.62; SD 18.31) scores corresponded with literature data for similar CFS samples. High mean ESS (10.51; SD 5.52) and global PSQI (10.17; SD 4.02) were observed. No significant relationship was found between ESS and global PSQI.

In contrast, regression analysis demonstrated a significant cubic relation between ESS and ‘PSQI without daytime dysfunction’. A subgroup (n=69) with an insomnia-like phenotype low ESS (<5), high PSQI (mean 11.51; SD 3.86) was observed. The assessment of subjective sleep quality and daytime sleepiness in a large sample of CFS patients indicated high mean PSQI and ESS values. ESS and ‘PSQI without daytime dysfunction’ were inversely related at the spectral ends of ESS. A distinct subgroup with clinical features of insomnia was identified.

 

Source: Mariman A, Vogelaers D, Hanoulle I, Delesie L, Pevernagie D. Subjective sleep quality and daytime sleepiness in a large sample of patients with chronic fatigue syndrome (CFS). Acta Clin Belg. 2012 Jan-Feb;67(1):19-24. https://www.ncbi.nlm.nih.gov/pubmed/22480034

 

Small heart with low cardiac output for orthostatic intolerance in patients with chronic fatigue syndrome

Abstract:

BACKGROUND: The etiology of chronic fatigue syndrome (CFS) is unknown. Orthostatic intolerance (OI) is common in CFS patients. Recently, small heart with low cardiac output has been postulated to be related to the genesis of both CFS and OI.

HYPOTHESIS: Small heart is associated with OI in patients with CFS.

METHODS: Study CFS patients were divided into groups of 26 (57%) CFSOI(+) and 20 (43%) CFSOI(-) according to the presence or absence of OI. In addition, 11 OI patients and 27 age- and sex-matched control subjects were studied. Left ventricular (LV) dimensions and function were determined echocardiographically.

RESULTS: The mean values of cardiothoracic ratio, systemic systolic and diastolic pressures, LV end-diastolic dimension, LV end-systolic dimension, stroke volume index, cardiac index, and LV mass index were all significantly smaller in CFSOI(+) patients than in CFSOI(-) patients and healthy controls, and also in OI patients than in controls. A smaller LV end-diastolic dimension (<40 mm) was significantly (P<0.05) more prevalently noted in CFSOI(+) (54%) and OI (45%) than in CFSOI(-) (5%) and controls (4%). A lower cardiac index (<2 L/min/mm(2)) was more prevalent in CFSOI(+) (65%) than in CFSOI(-) (5%, P<0.01), OI (27%), and controls (11%, P<0.01).

CONCLUSIONS: A small size of LV with low cardiac output was noted in OI, and its degree was more pronounced in CFSOI(+). A small heart appears to be related to the genesis of OI and CFS via both cerebral and systemic hypoperfusion. CFSOI(+) seems to constitute a well-defined and predominant subgroup of CFS.

© 2011 Wiley Periodicals, Inc.

 

Source: Miwa K, Fujita M. Small heart with low cardiac output for orthostatic intolerance in patients with chronic fatigue syndrome. Clin Cardiol. 2011 Dec;34(12):782-6. doi: 10.1002/clc.20962. Epub 2011 Nov 28. http://onlinelibrary.wiley.com/doi/10.1002/clc.20962/full (Full article)

 

Sleep-stage dynamics in patients with chronic fatigue syndrome with or without fibromyalgia

Abstract:

STUDY OBJECTIVES: Chronic fatigue syndrome (CFS) and fibromyalgia (FM) are medically unexplained conditions that often have overlapping symptoms, including sleep-related complaints. However, differences between the 2 conditions have been reported, and we hypothesized that dynamic aspects of sleep would be different in the 2 groups of patients.

PARTICIPANTS: Subjects were 26 healthy control subjects, 14 patients with CFS but without FM (CFS alone), and 12 patients with CFS and FM (CFS+FM)-all women.

MEASUREMENTS AND RESULTS: We studied transition probabilities and rates between sleep stages (waking, rapid eye movement [REM] sleep, stage 1 [S1], stage 2 [S2], and slow-wave sleep [SWS]) and duration distributions of each sleep stage. We found that the probability of transition from REM sleep to waking was significantly greater in subjects with CFS alone than in control subjects, which may be the specific sleep problem for people with CFS alone. Probabilities of (a) transitions from waking, REM sleep, and S1 to S2 and (b) those from SWS to waking and S1 were significantly greater in subjects with CFS+FM than in control subjects; in addition, rates of these transitions were also significantly increased in subjects with CFS+FM. Result (a) might indicate increased sleep pressure in subjects with CFS+FM whereas result (b) may be the specific sleep problem of subjects with CFS+FM. We also found that shorter durations of S2 sleep are specific to patients with CFS+FM, not to CFS alone.

CONCLUSIONS: These results suggest that CFS and FM may be different illnesses associated with different problems of sleep regulation.

 

Source: Kishi A, Natelson BH, Togo F, Struzik ZR, Rapoport DM, Yamamoto Y. Sleep-stage dynamics in patients with chronic fatigue syndrome with or without fibromyalgia. Sleep. 2011 Nov 1;34(11):1551-60. doi: 10.5665/sleep.1396. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3198210/ (Full article)

 

Symptom fluctuations and daily physical activity in patients with chronic fatigue syndrome: a case-control study

Abstract:

OBJECTIVES: To compare the activity pattern of patients with chronic fatigue syndrome (CFS) with healthy sedentary subjects and examine the relationship between the different parameters of performed activity (registered by an accelerometer device) and symptom severity and fluctuation (registered by questionnaires) in patients with CFS.

DESIGN: Case-control study. Participants were asked to wear an accelerometer device on the nondominant hand for 6 consecutive days. Every morning, afternoon, and evening patients scored the intensity of their pain, fatigue, and concentration difficulties on a visual analog scale.

SETTING: Patients were recruited from a specialized chronic fatigue clinic in the university hospital, where all subjects were invited for 2 appointments (for questionnaire and accelerometer adjustments). In between, activity data were collected in the subject’s normal home environment.

PARTICIPANTS: Female patients (n=67) with CFS and female age-matched healthy sedentary controls.

INTERVENTIONS: Not applicable.

MAIN OUTCOME MEASURES: Accelerometry (average activity counts, peak activity counts, ratio peak/average, minutes spent per activity category) and symptom severity (intensity of pain, fatigue, and concentration difficulties).

RESULTS: Patients with CFS were less active, spent more time sedentary, and less time lightly active (P<.05). The course of the activity level during the registration period (P interaction>.05), peak activity, and the staggering of activities (ratio peak/average) on 1 day were not different between groups (P>.05). Negative correlations (-.242 varying to -.307) were observed for sedentary activity and the ratio with symptom severity and variation on the same and the next day. Light, moderate, and vigorous, as well as the average activity and the peak activity, were positively correlated (.242 varying to .421) with symptom severity and variation.

CONCLUSIONS: The more patients with CFS are sedentary and the better activity is dispersed, the fewer symptoms and variations they experience on the same and next day. Inversely, more symptoms and variability is experienced when patients were more active that day or the previous day. The direction of these relations cannot be determined in a cross-sectional study and requires further study.

Copyright © 2011 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

 

Source: Meeus M, van Eupen I, van Baarle E, De Boeck V, Luyckx A, Kos D, Nijs J. Symptom fluctuations and daily physical activity in patients with chronic fatigue syndrome: a case-control study. Arch Phys Med Rehabil. 2011 Nov;92(11):1820-6. doi: 10.1016/j.apmr.2011.06.023. https://www.ncbi.nlm.nih.gov/pubmed/22032215

 

Sleep-wake behavior in chronic fatigue syndrome

Abstract:

STUDY OBJECTIVES: Disturbances of the internal biological clock manifest as fatigue, poor concentration, and sleep disturbances-symptoms reminiscent of chronic fatigue syndrome (CFS) and suggestive of a role for circadian rhythm disturbance in CFS. We examined circadian patterns of activity, sleep, and cortisol secretion in patients with CFS.

DESIGN: Case-control study, 5-day behavioral observation.

SETTING: Natural setting/home environment

PARTICIPANTS: 15 patients with CFS and 15 healthy subjects of similar age, sex, body mass index (BMI), and activity levels.

INTERVENTIONS: N/A.

MEASUREMENTS: Self-report questionnaires were used to obtain medical history and demographic information and to assess health behaviors, somatic and psychological symptoms, and sleep quality. An actiwatch accelerometer recorded activity and sleep patterns over 5 days with concurrent activity and symptom logs. Diurnal salivary cortisol secretion was measured. Additionally, overnight heart rate monitoring and pain sensitivity assessment was undertaken.

RESULTS: Ratings of symptoms, disability, sleep disturbance, and pain sensitivity were greater in patients with CFS. No between-group differences were found in the pattern or amount of sleep, activity, or cortisol secretion. Afternoon activity levels significantly increased evening fatigue in patients but not control subjects. Low nocturnal heart rate variability was identified as a biological correlate of unrefreshing sleep.

CONCLUSIONS: We found no evidence of circadian rhythm disturbance in CFS. However, the role of autonomic activity in the experience of unrefreshing sleep warrants further assessment. The activity symptom-relationship modelled here is of clinical significance in the approach to activity and symptom management in the treatment of CFS.

 

Source: Rahman K, Burton A, Galbraith S, Lloyd A, Vollmer-Conna U. Sleep-wake behavior in chronic fatigue syndrome. Sleep. 2011 May 1;34(5):671-8. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3079947/ (Full article)

 

Migraine headaches in chronic fatigue syndrome (CFS): comparison of two prospective cross-sectional studies

Abstract:

BACKGROUND: Headaches are more frequent in Chronic Fatigue Syndrome (CFS) than healthy control (HC) subjects. The 2004 International Headache Society (IHS) criteria were used to define CFS headache phenotypes.

METHODS: Subjects in Cohort 1 (HC = 368; CFS = 203) completed questionnaires about many diverse symptoms by giving nominal (yes/no) answers. Cohort 2 (HC = 21; CFS = 67) had more focused evaluations. They scored symptom severities on 0 to 4 anchored ordinal scales, and had structured headache evaluations. All subjects had history and physical examinations; assessments for exclusion criteria; questionnaires about CFS related symptoms (0 to 4 scale), Multidimensional Fatigue Inventory (MFI) and Medical Outcome Survey Short Form 36 (MOS SF-36).

RESULTS: Demographics, trends for the number of diffuse “functional” symptoms present, and severity of CFS case designation criteria symptoms were equivalent between CFS subjects in Cohorts 1 and 2. HC had significantly fewer symptoms, lower MFI and higher SF-36 domain scores than CFS in both cohorts. Migraine headaches were found in 84%, and tension-type headaches in 81% of Cohort 2 CFS. This compared to 5% and 45%, respectively, in HC. The CFS group had migraine without aura (60%; MO; CFS+MO), with aura (24%; CFS+MA), tension headaches only (12%), or no headaches (4%). Co-morbid tension and migraine headaches were found in 67% of CFS. CFS+MA had higher severity scores than CFS+MO for the sum of scores for poor memory, dizziness, balance, and numbness (“Neuro-construct”, p = 0.002) and perceived heart rhythm disturbances, palpitations and noncardiac chest pain (“Cardio-construct”; p = 0.045, t-tests after Bonferroni corrections). CFS+MO subjects had lower pressure-induced pain thresholds (2.36 kg [1.95-2.78; 95% C.I.] n = 40) and a higher prevalence of fibromyalgia (47%; 1990 criteria) compared to HC (5.23 kg [3.95-6.52] n = 20; and 0%, respectively). Sumatriptan was beneficial for 13 out of 14 newly diagnosed CFS migraine subjects.

CONCLUSIONS: CFS subjects had higher prevalences of MO and MA than HC, suggesting that mechanisms of migraine pathogenesis such as central sensitization may contribute to CFS pathophysiology.

CLINICAL TRIAL REGISTRATION: Georgetown University IRB # 2006-481

TRIAL REGISTRATION: ClinicalTrials.gov NCT00810329 NCT00810329.

 

Source: Ravindran MK, Zheng Y, Timbol C, Merck SJ, Baraniuk JN. Migraine headaches in chronic fatigue syndrome (CFS): comparison of two prospective cross-sectional studies. BMC Neurol. 2011 Mar 5;11:30. doi: 10.1186/1471-2377-11-30. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3058027/ (Full article)

 

Sleep stage transitions in chronic fatigue syndrome patients with or without fibromyalgia

Abstract:

Chronic fatigue syndrome (CFS) and fibromyalgia (FM) are medically unexplained conditions that share considerable overlapping symptoms, including sleep-related complaints. However, differences between the two conditions have been reported, and we hypothesized that dynamic aspects of sleep, recently attracting scientific interests, would be different in the two groups of patients. We thus study transition probabilities between sleep stages of CFS patients with or without FM. Subjects were 26 healthy controls, 14 CFS patients without FM (CFS alone) and 12 CFS patients with FM (CFS+FM) – all women.

We studied transition probabilities between sleep stages (waking, REM sleep and Stage I, Stage II and slow-wave sleep (Stage III+IV)). We found that probabilities of transition from REM sleep to waking were significantly greater in CFS alone than in controls; we have reported previously this sleep disruption as the specific sleep problem for CFS alone [Kishi et al., 2008]. Probabilities of transitions from waking, REM sleep and Stage I to Stage II, and those from slow-wave sleep to Stage I, were significantly greater in CFS+FM than in controls; the former might indicate increased sleep pressure in CFS+FM and the latter may be the specific sleep problem of CFS+FM. These results suggest that CFS and FM are different illnesses associated with different problems of sleep regulation.

 

Source: Kishi A, Natelson BH, Togo F, Struzik ZR, Rapoport DM, Yamamoto Y. Sleep stage transitions in chronic fatigue syndrome patients with or without fibromyalgia. Conf Proc IEEE Eng Med Biol Soc. 2010;2010:5391-4. doi: 10.1109/IEMBS.2010.5626478. https://www.ncbi.nlm.nih.gov/pubmed/21096267

 

Fatigue severity remains stable over time and independently associated with orthostatic symptoms in chronic fatigue syndrome: a longitudinal study

Abstract:

OBJECTIVES: to examine fatigue variability over time in chronic fatigue syndrome (CFS) and the effect of other symptoms on its predictability.

DESIGN: longitudinal cohort study of patients with CFS (Fukuda criteria).

SETTING: specialist CFS clinical service.

SUBJECTS: phase 1: 100 patients who participated in a study of CFS symptoms in 2005 were revisited in 2009. Phase 2: 25 patients completed fatigue diaries to address intra- and inter-day variability in perceived fatigue.

MAIN OUTCOME MEASURES: phase 1: subjects completed fatigue impact scale (FIS), Epworth sleepiness scale (ESS), orthostatic grading scale (OGS) and hospital anxiety and depression scale (HADS). Changes in variables represented the differences between 2005 and 2009. Phase 2: subjects rated fatigue on a scale of 0 (no fatigue) to 10 (severe fatigue) four times a day for 5 weeks.

RESULTS: symptom assessment tools were available in both 2005 and 2009 for 74% of patients. FIS and HADS depression (HAD-D) and anxiety (HAD-A) scores significantly improved during follow-up whereas ESS and OGS remained stable. FIS improved in 29/74 (39%) subjects, and by ≥ 10 points in 19 (26%). FIS worsened by ≥ 10 points in 33/74 (45%) subjects. On multivariate analysis, independent predictors of current fatigue (FIS in 2009) were FIS in 2005, HAD-D in 2009, OGS in 2009 and change in HAD-A. Reported fatigue was stable from week to week and from day to day. Patients reported higher fatigue in the morning (mean ± SD; 6.4 ± 2), becoming significantly lower at lunchtime (6.2 ± 2; P < 0.05) and increasing again to 7 ± 2 at bedtime.

CONCLUSIONS: current fatigue is independently associated with current autonomic symptom burden, current depression and change in anxiety during follow-up. These findings have implications for targeted symptom management in CFS.

 

Source: Jones DE, Gray J, Frith J, Newton JL. Fatigue severity remains stable over time and independently associated with orthostatic symptoms in chronic fatigue syndrome: a longitudinal study. J Intern Med. 2011 Feb;269(2):182-8. doi: 10.1111/j.1365-2796.2010.02306.x. Epub 2010 Nov 14. http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2796.2010.02306.x/full (Full article)

 

Pain physiology education improves pain beliefs in patients with chronic fatigue syndrome compared with pacing and self-management education: a double-blind randomized controlled trial

Abstract:

OBJECTIVE: To examine whether pain physiology education was capable of changing pain cognitions and pain thresholds in patients with chronic fatigue syndrome (CFS) and chronic widespread pain.

DESIGN: Double-blind randomized controlled trial.

SETTING: Specialized chronic fatigue clinic in university hospital.

PARTICIPANTS: A random sample of patients (N=48) with CFS patients (8 men, 40 women) experiencing chronic pain, randomly allocated to the control group (n=24) or experimental group (n=24). Two women in the experimental group did not complete the study because of practical issues (lack of time and restricted mobility).

INTERVENTIONS: One individual pain physiology education session (experimental) or 1 pacing and self-management education session (control).

MAIN OUTCOME MEASURES: Algometry, the Neurophysiology of Pain Test, and questionnaires evaluating pain cognitions-the Pain Coping Inventory, the Pain Catastrophizing Scale, and the Tampa Scale for Kinesiophobia-version CFS-were completed immediately before and immediately after the intervention.

RESULTS: After the intervention, the experimental group demonstrated a significantly better understanding of the neurophysiology of pain (P<.001) and a reduction of the Pain Catastrophizing Scale subscale “ruminating” (P=.009) compared with controls. For these variables, moderate to large Cohen d effect sizes were revealed (.79-2.53).

CONCLUSIONS: A 30-minute educational session on pain physiology imparts a better understanding of pain and brings about less rumination in the short term. Pain physiology education can be an important therapeutic modality in the approach of patients with CFS and chronic pain, given the clinical relevance of inappropriate pain cognitions.

Comment in: Educational programs for chronic fatigue syndrome need to take cognizance of the condition’s abnormal response to exercise. [Arch Phys Med Rehabil. 2011]

 

Source: Meeus M, Nijs J, Van Oosterwijck J, Van Alsenoy V, Truijen S. Pain physiology education improves pain beliefs in patients with chronic fatigue syndrome compared with pacing and self-management education: a double-blind randomized controlled trial. Arch Phys Med Rehabil. 2010 Aug;91(8):1153-9. doi: 10.1016/j.apmr.2010.04.020. https://www.ncbi.nlm.nih.gov/pubmed/20684894