Literature DB >> 19818158

Chronic fatigue syndrome: identifying zebras amongst the horses.

Samuel B Harvey1, Simon Wessely.   

Abstract

There are currently no investigative tools or physical signs that can confirm or refute the presence of chronic fatigue syndrome (CFS). As a result, clinicians must decide how long to keep looking for alternative explanations for fatigue before settling on a diagnosis of CFS. Too little investigation risks serious or easily treatable causes of fatigue being overlooked, whilst too many increases the risk of iatrogenic harm and reduces the opportunity for early focused treatment. A paper by Jones et al published this month in BMC Medicine may help clinicians in deciding how to undertake such investigations. Their results suggest that if clinicians look for common psychiatric and medical conditions in those complaining of prolonged fatigue, the rate of detection will be higher than previously estimated. The most common co-morbid condition identified was depression, suggesting a simple mental state examination remains the most productive single investigation in any new person presenting with unexplained fatigue. Currently, most diagnostic criteria advice CFS should not be diagnosed when an active medical or psychiatric condition which may explain the fatigue is identified. We discuss a number of recent prospective studies that have provided valuable insights into the aetiology of chronic fatigue and describe a model for understanding chronic fatigue which may be equally relevant regardless of whether or not an apparent medical cause for fatigue can be identified. See the associated research paper by Jones et al: http://www.biomedcentral.com/1741-7015/7/57.

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Year:  2009        PMID: 19818158      PMCID: PMC2766380          DOI: 10.1186/1741-7015-7-58

Source DB:  PubMed          Journal:  BMC Med        ISSN: 1741-7015            Impact factor:   8.775


Commentary

Medical students are often told that the sound of approaching hooves is more likely to herald the arrival of horses than zebras. The metaphor reinforces the idea that in medicine common things happen commonly and that clinicians should avoid spending too much time chasing rare or unlikely diagnoses. Fatigue is a very common clinical problem with many possible causes [1,2]. Some causes of fatigue are common 'horses' such as anaemia, viral infections, sleep deprivation, diabetes and depression. However, potential 'zebras' such as malignancy or auto-immune disorders may also present with fatigue. Even with extensive investigations, the underlying aetiology of an individual's fatigue in many cases remains unknown. Over recent decades there has been increasing recognition of a group of individuals with severe, persistent, and unexplained fatigue [3]. Such persistent fatigue has, at times, been seen as an illness of modern life, although there is good evidence to show that chronic fatigue has been a common problem since at least the 19th century, but under different diagnostic labels, such as neurasthenia [4,5]. Some, but by no means all, of these individuals fulfil the current criteria for chronic fatigue syndrome (CFS), which requires that persisting or relapsing fatigue be present for at least 6 months, is not relieved by rest, is not explained by medical or psychiatric conditions and is accompanied by a range of cognitive and somatic symptoms [6]. Here, we discuss a paper by Jones et al. published this month in BMC Medicine [7], as well as recent prospective studies that provide valuable insights into the aetiology and contribute to a model for understanding chronic fatigue. At present, and despite much effort, there are no investigative tools or physical signs that can confirm the presence of CFS and it remains a diagnosis of exclusion [8]. As a result, clinicians must decide how long to keep looking for alternative explanations for fatigue before settling on a diagnosis of CFS. There are numerous cautionary tales of individuals who have suffered from delayed or missed diagnoses of serious illnesses due to under investigating of fatigue [9]. Yet if the search for unlikely 'zebra' causes of fatigue goes on too long, the risk of iatrogenic harm increases and the opportunity for early focused treatment of CFS may be lost [10]. Studies based in specialized clinics have suggested that yields from detailed investigations of those with prolonged fatigue are low, with only 5% of laboratory tests revealing an underlying cause [11]. However, fatigued patients seen in specialized clinics differ from those seen in other settings [12], with some reports suggesting higher yields from investigations may be possible in primary care [13]. The recently published VAMPIRE study based in Dutch primary care found that 8% of patients presenting with fatigue had a blood test detectable somatic illness diagnosed over a 1-year follow-up period, with the vast majority of the disorders identified from a very limited set of simple blood tests (haemoglobin, erythrocyte sedimentation rate, glucose and thyroid-stimulating hormone) [14]. The UK-based National Institute of Health and Clinical Excellence guidelines on the diagnosis and management of CFS recommend a slightly more conservative approach, with a more extensive list of blood and urine investigations suggested (Appendix) [8]. Such lists of physical investigations should not detract from the need to consider psychological causes of fatigue. Depression is very common amongst those with fatigue [4,15], with recent studies using the British birth cohorts showing over 70% of adults reporting CFS have evidence of psychiatric disorder prior to their fatigue symptoms beginning [16]. A clinician assessing a patient in the community with apparent CFS may well ask 'If I look, how likely am I to find a contributing medical or psychiatric cause for the fatigue, and what difference will this make?' A paper by Jones et al. [7] may help to answer these questions. Using random telephone surveys, 904 people who met the criteria for CFS were identified. On telephone history alone they were able to identify a potential cause of the fatigue in 441 (48%). When the remaining cases were seen for a physical examination, psychiatric interview and laboratory screening, potential medical or psychiatric causes of fatigue were identified in a further 49%. Not surprisingly, the most common co-morbid conditions identified were depression, followed by bipolar affective disorder, thyroid disease, substance misuse and diabetes. Obesity, already known to be associated with a number of these conditions [17-19], increased the chances of a medical or psychiatric cause being identified. These results are very similar to a Dutch study published earlier this year, which found concomitant diseases which could cause fatigue in 55.5% of those reporting chronic fatigue lasting more than 6 months [20]. Based on these findings, clinicians should feel encouraged that, if they look for common psychiatric and medical conditions in those complaining of prolonged fatigue, the rate of detection will be higher than previously thought. Thus, current recommendations advising a range of simple investigations (Appendix) for those with persistent fatigue seem well placed. Jones et al. did find some 'zebras' but, as expected, these were relatively rare. A simple mental state examination appears to remain the most productive single investigation in any new person presenting with unexplained fatigue [21]. The identification of potentially treatable causes of fatigue has obvious clinical importance. However, Jones et al.'s findings also raise questions about the nature of chronic fatigue. Currently, most diagnostic criteria suggest CFS should not be diagnosed when an active medical or psychiatric condition is identified which may explain the fatigue [6]. This implies that the aetiology of 'unexplained' CFS is different to that of the 'explained' fatigue seen in those with a diagnosed medical condition. While we are yet to fully understand the causes of CFS, a number of prospective studies have given us some knowledge of those at high risk, and which pathways to fatigue seem to be important [16,19,22-25]. Based on these findings, a model of the aetiology of CFS can be constructed, as demonstrated in Figure 1. This suggests that CFS results from a combination of pre-morbid risk, followed by an acute event leading to fatigue, and then a pattern of behavioural and biological responses contributing to a prolonged severe fatigue syndrome [26]. Based on this model, the initial cause of the fatigue has a limited impact on the eventual course of the illness. Rather, it is the maintaining factors, such as dramatic fluctuations in levels of activity (so called 'boom and bust' cycles), that need to be addressed if recovery is to occur [27,28]. This model has been developed from research focused on the 'unexplained' fatigue of CFS. However, there is emerging evidence which suggests that it may be appropriate to extend it to encompass fatigue with an apparent medical cause. There are numerous examples of studies demonstrating that the fatigue associated with clear 'physical' illnesses is more closely associated with behavioural and psychological factors than with the severity of the underlying illness. For example, fatigue in HIV-infected patients is more strongly associated with psychological factors than with measures of HIV disease progression or the use of highly active antiretroviral drugs [29]. There is also evidence that behaviourally focused interventions are some of the most effective ways of reducing fatigue, even when there is a clear underlying cause, such as rheumatoid arthritis, multiple sclerosis or cancer [30,31]. Thus, it may be that the divide between fatigue secondary to diagnosed medical problems and CFS may be need to be made more permeable, with some relaxing of the exclusion criteria in diagnostic guidelines for CFS. This may allow a greater use of evidence-based treatments developed for treating CFS amongst those with an apparent medical or psychiatric cause of their fatigue.
Figure 1

Proposed model for understanding the aetiology of chronic fatigue syndrome (CFS) [10,16,19,22-28,32-34].

Proposed model for understanding the aetiology of chronic fatigue syndrome (CFS) [10,16,19,22-28,32-34].

Abbreviations

CFS: chronic fatigue syndrome.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

The authors contributed equally to the writing of this article

Appendix

Investigations recommended by the UK National Institute of Clinical Excellence to exclude medical causes of chronic fatigue ([8])

Tests that should usually be done: • urinalysis for protein, blood and glucose • full blood count urea and electrolytes • liver function • thyroid function • erythrocyte sedimentation rate or plasma viscosity • C-reactive protein • random blood glucose • serum creatinine • screening blood tests for gluten sensitivity • serum calcium • creatine kinase • assessment of serum ferritin levels (children and young people only). Additional serology tests that should only be done if the history suggests the possibility of a recent infection: • chronic bacterial infections, such as borreliosis • chronic viral infections, such as HIV or hepatitis B or C • acute viral infections, such as infectious mononucleosis (use heterophile antibody tests) • latent infections, such as toxoplasmosis, Epstein-Barr virus or cytomegalovirus.

Pre-publication history

The pre-publication history for this paper can be accessed here:
  31 in total

1.  Fatigue among HIV-infected patients in the era of highly active antiretroviral therapy.

Authors:  M Henderson; F Safa; P Easterbrook; M Hotopf
Journal:  HIV Med       Date:  2005-09       Impact factor: 3.180

2.  The low yield of physical examinations and laboratory investigations of patients with chronic fatigue.

Authors:  T J Lane; D A Matthews; P Manu
Journal:  Am J Med Sci       Date:  1990-05       Impact factor: 2.378

3.  A comparison of the characteristics of chronic fatigue syndrome in primary and tertiary care.

Authors:  R Euba; T Chalder; A Deale; S Wessely
Journal:  Br J Psychiatry       Date:  1996-01       Impact factor: 9.319

4.  Patients with a self diagnosis of myalgic encephalomyelitis.

Authors:  S J Hurel; B Abuiasha; P H Baylis; P E Harris
Journal:  BMJ       Date:  1995-07-29

5.  The chronic fatigue syndrome: a comprehensive approach to its definition and study. International Chronic Fatigue Syndrome Study Group.

Authors:  K Fukuda; S E Straus; I Hickie; M C Sharpe; J G Dobbins; A Komaroff
Journal:  Ann Intern Med       Date:  1994-12-15       Impact factor: 25.391

6.  Cognitive behavior therapy for chronic fatigue syndrome: a randomized controlled trial.

Authors:  A Deale; T Chalder; I Marks; S Wessely
Journal:  Am J Psychiatry       Date:  1997-03       Impact factor: 18.112

7.  Old wine in new bottles: neurasthenia and 'ME'.

Authors:  S Wessely
Journal:  Psychol Med       Date:  1990-02       Impact factor: 7.723

8.  Premorbid predictors of chronic fatigue.

Authors:  Kenji Kato; Patrick F Sullivan; Birgitta Evengård; Nancy L Pedersen
Journal:  Arch Gen Psychiatry       Date:  2006-11

9.  Chronic fatigue syndrome: a cognitive approach.

Authors:  C Surawy; A Hackmann; K Hawton; M Sharpe
Journal:  Behav Res Ther       Date:  1995-06

10.  Incidence, risk and prognosis of acute and chronic fatigue syndromes and psychiatric disorders after glandular fever.

Authors:  P D White; J M Thomas; J Amess; D H Crawford; S A Grover; H O Kangro; A W Clare
Journal:  Br J Psychiatry       Date:  1998-12       Impact factor: 9.319

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  12 in total

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Authors:  Samuel B Harvey; Simon Wessely
Journal:  Int J Behav Med       Date:  2013-06

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Review 3.  Chronic fatigue syndrome: Harvey and Wessely's (bio)psychosocial model versus a bio(psychosocial) model based on inflammatory and oxidative and nitrosative stress pathways.

Authors:  Michael Maes; Frank N M Twisk
Journal:  BMC Med       Date:  2010-06-15       Impact factor: 8.775

4.  A randomized controlled trial of qigong exercise on fatigue symptoms, functioning, and telomerase activity in persons with chronic fatigue or chronic fatigue syndrome.

Authors:  Rainbow T H Ho; Jessie S M Chan; Chong-Wen Wang; Benson W M Lau; Kwok Fai So; Li Ping Yuen; Jonathan S T Sham; Cecilia L W Chan
Journal:  Ann Behav Med       Date:  2012-10

5.  Chronic fatigue syndrome in the media: a content analysis of newspaper articles.

Authors:  Ann Kristen Knudsen; Anne Nagelgaard Omenås; Samuel B Harvey; Camilla Ms Løvvik; Linn V Lervik; Arnstein Mykletun
Journal:  JRSM Short Rep       Date:  2011-05-25

6.  Determinants of fatigue and stress.

Authors:  Rüya D Kocalevent; Andreas Hinz; Elmar Brähler; Burghard F Klapp
Journal:  BMC Res Notes       Date:  2011-07-20

7.  Alternative diagnoses to chronic fatigue syndrome in referrals to a specialist service: service evaluation survey.

Authors:  Anoop Devasahayam; Tara Lawn; Maurice Murphy; Peter D White
Journal:  JRSM Short Rep       Date:  2012-01-12

8.  Comparison of chronic fatigue syndrome/myalgic encephalopathy with other disorders: an observational study.

Authors:  Ak Knudsen; Lv Lervik; Sb Harvey; Cms Løvvik; An Omenås; A Mykletun
Journal:  JRSM Short Rep       Date:  2012-05-21

9.  Effects of qigong exercise on fatigue, anxiety, and depressive symptoms of patients with chronic fatigue syndrome-like illness: a randomized controlled trial.

Authors:  Jessie S M Chan; Rainbow T H Ho; Chong-Wen Wang; Lai Ping Yuen; Jonathan S T Sham; Cecilia L W Chan
Journal:  Evid Based Complement Alternat Med       Date:  2013-07-31       Impact factor: 2.629

10.  Striking the balance with epistemic injustice in healthcare: the case of Chronic Fatigue Syndrome/Myalgic Encephalomyelitis.

Authors:  Eleanor Alexandra Byrne
Journal:  Med Health Care Philos       Date:  2020-09
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