Postinfectious and chronic fatigue syndromes: clinical experience from a tertiary-referral centre in Norway

Abstract:

BACKGROUND: We aimed to compare patients reporting acute infection with those reporting no infection at onset of chronic fatigue syndrome (CFS).

PATIENTS AND METHODS: This study includes 873 patients with CFS referred to a tertiary centre on average 4.8 years after symptom onset. Assessment was by both observer query and self-reports. Antibody analyses against infectious agents including Epstein-Barr virus and enterovirus were performed in a majority of patients.

RESULTS: Females comprised 75.3% of the patient group, and the mean age was 33 years. Initial infection was reported by 77%. There was no difference as to antibody analyses. Logistic regression showed that initial infection was independently associated with acute onset of fatigue, improvement of fatigue at referral, and the following symptoms at referral: fever, tender lymph nodes, and myalgia.

CONCLUSION: CFS patients with initial infection as a precipitating factor more often report acute onset of fatigue, more frequent accompanying symptoms, and more frequent improvement on referral than do patients without initial infection.

 

Source: Naess H, Sundal E, Myhr KM, Nyland HI. Postinfectious and chronic fatigue syndromes: clinical experience from a tertiary-referral centre in Norway. In Vivo. 2010 Mar-Apr;24(2):185-8. https://www.ncbi.nlm.nih.gov/pubmed/20363992

 

Serum Cytokine Levels in Postinfective Fatigue Syndrome

TO THE EDITOR—Previous studies have sought evidence for a role of abnormal cytokine activity in patients with chronic fatigue syndrome and have had conflicting results [1–3]. These ambiguous results may reflect heterogeneity in groups of patients considered to have chronic fatigue syndrome and variations in assay systems.

We established postinfective fatigue syndrome as the only well-characterized model of the onset and evolution of chronic fatigue syndrome in a prospective cohort of individuals followed up from the onset of acute infection (Dubbo Infection Outcomes Study [DIOS]) [4]. Longitudinally collected clinical data and blood samples from participants in DIOS provide a unique opportunity for nested case-control studies examining the pathophysiology of chronic fatigue syndrome.

We previously reported the lack of association between cytokine production from cultured peripheral blood mononuclear cells and the postinfective fatigue syndrome- related illness in participants in DIOS [5]. We now report a masked analysis of a longitudinal case-control series from DIOS that extended the number of cytokines tested and focused on serum levels.

Twenty patients with acute infection were selected, including 5 patients with serologically confirmed acute Epstein-Barr virus (EBV) infection followed by postinfective fatigue syndrome lasting ⩾6 months, 5 patients with acute infection (not primary EBV but seropositive for EBV) followed by postinfective fatigue syndrome, and 10 matched control subjects with acute EBV infection followed by prompt recovery. Serum samples and clinical data from baseline and from 3–6 months and 9–12 months after onset of infection were analyzed. Serum samples were coded according to case-control status before transfer to the cytokine analysis laboratory.

Thirty-five analytes were measured in serum samples with use of amultiplex immunoassay, including the chemokines leptin, epithelial cell-derived neutrophil-activating peptide 78, eotaxin, growth-regulated oncogene α, interleukin (IL)-8, interferon (IFN)-inducible protein 10, monocyte chemotactic protein 3, monokine induced by gamma IFN, macrophage inflammatory protein 1α, macrophage inflammatory protein 1β, and regulated upon activation normal T cell expressed and secreted; the cytokines IFN-γ, IL-1α, IL-1β, IL-1Ra, IL-4, IL-5, IL-6, IL-7, IL-2, IL-10, IL-12p40, IL-12p70, IL-13, IL-15, IL-17, IL-17F, tumor necrosis factor α, tumor necrosis factor β; and the growth factors nerve growth factor, plate-let-derived growth factor β, transforming growth factor β, vascular endothelial growth factor, fibroblast growth factor β, granulocyte colony-stimulating factor, and granulocyte-macrophage colony-stimulating factor.

All of the study groups were predominantly female and were matched for both sex distribution (by χ2 test, P = .670) and age (by analysis of variance, P = .597). Cytokine data were analyzed by 2-way analysis of variance examining the effects of time and type of case (EBV postinfective fatigue syndrome, non-EBV postinfective fatigue syndrome, or control) and by Spearman’s correlation between symptom scores and cytokine levels. Because of the number of parameters tested, a conservative threshold for statistical significance (P < .005) was used. Results are shown in Table 1

You can read the rest of this article here: http://cid.oxfordjournals.org/content/50/2/278.full

 

Source: Cameron B, Hirschberg DL, Rosenberg-Hassan Y, Ablashi D, Lloyd AR. Serum cytokine levels in postinfective fatigue syndrome. Clin Infect Dis. 2010 Jan 15;50(2):278-9. doi: 10.1086/649546. http://cid.oxfordjournals.org/content/50/2/278.full (Full article)

 

Post-infective and chronic fatigue syndromes precipitated by viral and non-viral pathogens: prospective cohort study

Abstract:

OBJECTIVE: To delineate the risk factors, symptom patterns, and longitudinal course of prolonged illnesses after a variety of acute infections.

DESIGN: Prospective cohort study following patients from the time of acute infection with Epstein-Barr virus (glandular fever), Coxiella burnetii (Q fever), or Ross River virus (epidemic polyarthritis).

SETTING: The region surrounding the township of Dubbo in rural Australia, encompassing a 200 km geographical radius and 104,400 residents.

PARTICIPANTS: 253 patients enrolled and followed at regular intervals over 12 months by self report, structured interview, and clinical assessment.

OUTCOME MEASURES: Detailed medical, psychiatric, and laboratory evaluations at six months to apply diagnostic criteria for chronic fatigue syndrome. Premorbid and intercurrent illness characteristics recorded to define risk factors for chronic fatigue syndrome. Self reported illness phenotypes compared between infective groups.

RESULTS: Prolonged illness characterised by disabling fatigue, musculoskeletal pain, neurocognitive difficulties, and mood disturbance was evident in 29 (12%) of 253 participants at six months, of whom 28 (11%) met the diagnostic criteria for chronic fatigue syndrome. This post-infective fatigue syndrome phenotype was stereotyped and occurred at a similar incidence after each infection. The syndrome was predicted largely by the severity of the acute illness rather than by demographic, psychological, or microbiological factors.

CONCLUSIONS: A relatively uniform post-infective fatigue syndrome persists in a significant minority of patients for six months or more after clinical infection with several different viral and non-viral micro-organisms. Post-infective fatigue syndrome is a valid illness model for investigating one pathophysiological pathway to chronic fatigue syndrome.

 

Source: Hickie I, Davenport T, Wakefield D, Vollmer-Conna U, Cameron B, Vernon SD, Reeves WC, Lloyd A; Dubbo Infection Outcomes Study Group. Post-infective and chronic fatigue syndromes precipitated by viral and non-viral pathogens: prospective cohort study. BMJ. 2006 Sep 16;333(7568):575. Epub 2006 Sep 1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1569956/ (Full article)

 

Variation in immune response genes and chronic Q fever. Concepts: preliminary test with post-Q fever fatigue syndrome

Abstract:

Acute primary Q fever is followed by various chronic sequelae. These include subacute Q fever endocarditis, granulomatous reactions in various organs or a prolonged debilitating post-infection fatigue syndrome (QFS). The causative organism, Coxiella burnetii, persists after an initial infection. The differing chronic outcomes may reflect variations within cytokine and accessory immune control genes which affect regulation of the level of persistence. As a preliminary test of the concept we have genotyped QFS patients and controls for gene variants spanning 15 genes and also examined HLA-B and DR frequencies. QFS patients exhibited a significantly increased frequency of HLA-DR-11 compared with controls and also significant differences in allelic variant frequencies within the NRAMP, and IFN gamma genes. These results indicate a possible genetic role in the expression of overt chronic Q fever. Further studies will be undertaken to increase sample sizes, to survey other forms of chronic Q fever and to examine Q fever patients who have recovered without sequelae.

 

Source: Helbig KJ, Heatley SL, Harris RJ, Mullighan CG, Bardy PG, Marmion BP. Variation in immune response genes and chronic Q fever. Concepts: preliminary test with post-Q fever fatigue syndrome. Genes Immun. 2003 Jan;4(1):82-5. http://www.ncbi.nlm.nih.gov/pubmed/12595908

 

Predictions and associations of fatigue syndromes and mood disorders that occur after infectious mononucleosis

Abstract:

BACKGROUND: Certain infections can trigger chronic fatigue syndromes (CFS) in a minority of people infected, but the reason is unknown. We describe some factors that predict or are associated with prolonged fatigue after infectious mononucleosis and contrast these factors with those that predicted mood disorders after the same infection.

METHODS: We prospectively studied a cohort of 250 primary-care patients with infectious mononucleosis or ordinary upper-respiratory-tract infections until 6 months after clinical onset. We sought predictors of both acute and chronic fatigue syndromes and mood disorders from clinical, laboratory, and psychosocial measures.

FINDINGS: An empirically defined fatigue syndrome 6 months after onset, which excluded comorbid psychiatric disorders, was most reliably predicted by a positive Monospot test at onset (odds ratio 2.1 [95% CI 1.4-3.3]) and lower physical fitness (0.35 [0.15-0.8]). Cervical lymphadenopathy and initial bed rest were associated with, or predicted, a fatigue syndrome up to 2 months after onset. By contrast, mood disorders were predicted by a premorbid psychiatric history (2.3 [1.4-3.9]), an emotional personality score (1.21 [1.11-1.35]), and social adversity (1.7 [1.0-2.9]). Definitions of CFS that included comorbid mood disorders were predicted by a mixture of those factors that predicted either the empirically defined fatigue syndrome or mood disorders.

INTERPRETATION: The predictors of a prolonged fatigue syndrome after an infection differ with both definition and time, depending particularly on the presence or absence of comorbid mood disorders. The particular infection and its consequent immune reaction may have an early role, but physical deconditioning may also be important. By contrast, mood disorders are predicted by factors that predict mood disorders in general.

 

Source: White PD, Thomas JM, Kangro HO, Bruce-Jones WD, Amess J, Crawford DH, Grover SA, Clare AW. Predictions and associations of fatigue syndromes and mood disorders that occur after infectious mononucleosis. Lancet. 2001 Dec 8;358(9297):1946-54. http://www.ncbi.nlm.nih.gov/pubmed/11747919

 

Post-hepatitis syndrome revisited

Abstract:

To examine the role of acute hepatitis A and B infection in the aetiology of chronic fatigue syndrome and psychiatric morbidity we studied 40 patients with acute viral hepatitis A or B consecutively admitted to an infectious diseases unit and studied at least 6 months after recovery.

Liver function tests (LFT) had returned to normal in each case. Forty-seven patients with other infectious diseases, of which 12 were presumed viral, admitted immediately after each hepatitis patient during the same period acted as controls. The main outcome measures were scores on a fatigue and muscle pain questionnaire, general health questionnaire (GHQ-12) and supplementary questions.

The hepatitis cases scored significantly higher fatigue scores, GHQ-12 scores and muscle pain scores. Length of time since recovery from illness, age and sex were not confounding factors. Hepatitis cases were also less energetic, had greater weight change, had altered alcohol tolerance, had less exercise tolerance and felt less fit than the control group and compared with their premorbid state.

Hence fatigue is more common after recovery in patients hospitalized for hepatitis A and B up to 30 months post-infection compared with matched controls hospitalized for other infectious diseases. Hepatitis A and B infection is a risk factor for post-infection fatigue, intermittent fatigue, as well as for psychiatric morbidity.

 

Source: Berelowitz GJ, Burgess AP, Thanabalasingham T, Murray-Lyon IM, Wright DJ. Post-hepatitis syndrome revisited. J Viral Hepat. 1995;2(3):133-8. http://www.ncbi.nlm.nih.gov/pubmed/7493307