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. Author manuscript; available in PMC: 2017 Oct 12.
Published in final edited form as: Fatigue. 2016 Oct 12;4(4):195–207. doi: 10.1080/21641846.2016.1236588

Mortality in Patients with Myalgic Encephalomyelitis and Chronic Fatigue Syndrome

Stephanie L McManimen 1, Andrew R Devendorf 1, Abigail A Brown 1, Billie C Moore 1, James H Moore 1, Leonard A Jason 1
PMCID: PMC5218818  NIHMSID: NIHMS838204  PMID: 28070451

Abstract

Background

There is a dearth of research examining mortality in individuals with myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS). Some studies suggest there is an elevated risk of suicide and earlier mortality compared to national norms. However, findings are inconsistent as other researchers have not found significant increases in all-cause mortality for patients.

Objective

This study sought to determine if patients with ME or CFS are reportedly dying earlier than the overall population from the same cause.

Methods

Family, friends, and caregivers of deceased individuals with ME or CFS were recruited through social media, patient newsletters, emails, and advocate websites. This study analyzed data including cause and age of death for 56 individuals identified as having ME or CFS.

Results

The findings suggest patients in this sample are at a significantly increased risk of earlier all-cause (M = 55.9 years) and cardiovascular-related (M = 58.8 years) mortality, and they had a directionally lower mean age of death for suicide (M = 41.3 years) and cancer (M =66.3 years) compared to the overall U.S. population [M = 73.5 (all-cause), 77.7 (cardiovascular), 47.4 (suicide), and 71.1 (cancer) years of age].

Conclusions

The results suggest there is an increase in risk for earlier mortality in patients with ME and CFS. Due to the small sample size and over-representation of severely ill patients, the findings should be replicated to determine if the directional differences for suicide and cancer mortality are significantly different from the overall U.S. population.

Keywords: myalgic encephalomyelitis, chronic fatigue syndrome, mortality, suicide, cardiovascular


Myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS) are controversial and complicated illnesses [1]. Although many case definitions exist, ME and CFS are characterized by a variety of symptoms including post-exertional malaise; neurocognitive impairment; sleep dysfunction; and immunological, autonomic, and gastrointestinal issues [25]. Most patients with ME and CFS experience functional impairment that prevents them from completing normal daily activities, with approximately 25% of patients housebound at any given time [6,7]. However, few studies have examined whether ME and CFS increases the risk of mortality in patients, and the studies that have reported conflicting results[8].

Smith et al. [9]found that individuals with CFS were not at an increased risk of all-cause mortality or suicide. However, this sample was collected from a tertiary setting, which may have excluded more severely ill individuals that could not attend a clinic due to being housebound. Contrastingly, Jason et al. [10] found mean ages of death from a memorial list of patients were considerably lower than national norms when considering the leading causes of death for these individuals: heart disease, cancer, and suicide. Recently, Roberts et. [11] found no differences in age-standardized and gender-standardized mortality ratios for all-cause mortality and or cancer-specific mortality. The Roberts et al. study included wide diagnostic criteria, with one definition only requiring 6 months of fatigue, which could encompass many individuals that do not have ME and CFS [12]. These lax criteria may explain why they were unable to find an increased risk of all-cause and cancer-specific mortality. However, Roberts et al. [11] did find an increased suicide-related mortality in patients compared to the general population, but it is unclear which case definition those patients met. It is possible some of the Roberts et al. patients that died by suicide only met the widest criteria used (i.e. 6 months of fatigue), which could have included some with primary major depressive disorder, which is a major limitation of the study. In a study in Spain by Jiménez-Ortiz [13], there was also an increased risk of suicide in a patient population.

There are many reasons why ME or CFS could increase the risk of mortality. Severely affected patients have displayed lower stroke volume and cardiac outputs when compared to controls and less ill patients [14,15]. Hollingsworth et al. [16] found left ventricular mass in patients to be reduced by 23%. This reduced cardiac volume was associated with the plasma volume but not the length of illness, suggesting that deconditioning is unlikely to be the cause of these abnormalities [17]. Additionally, it has been found that patients have a higher heart rate and reduced heart rate variability during sleep, a risk factor of coronary heart disease and death [1820].

ME and CFS may also lead to lower systolic, diastolic, and mean arterial pressure, which are implicated in early signs of coronary dysfunction [21,22]. Hollingsworth et al. [23] found patients had a greater left ventricular work index while standing compared to controls, suggesting that patients’ hearts were working harder while standing. As a result of lower cardiac output, patients are prone to orthostatic intolerance (OI), a condition in which symptoms worsen upon standing [24]. When assessing blood volume and cardiac function, research has found patients who experience OI have lower blood volume and blood pressure variability compared to controls [25,26]. Altogether, these findings may explain the increase in cardiovascular-related mortality from Jason et al. study [10].

Pain may also contribute to an increased risk of death. Prior research has linked chronic pain to an increased risk of suicide [27]. Fibromyalgia, an illness characterized by widespread pain, has been found to increase the risk of suicide [2830]. Several studies have shown a direct link between the severity of pain and an increased risk of suicide after controlling for psychiatric diagnoses in other illnesses [31,32]. This is of concern as patients with ME and CFS have been found to have lower pain thresholds [33].

Concurrent with the physical risk factors of mortality, patients experience many secondary impacts of this illness including stigma from family, friends, and healthcare providers compared to other chronic illness groups [3436]. Patients are often delegitimized and socially isolated because of the invisible nature of the illness [37]. Patients also face significant changes in their quality of life (QOL), which have led to feelings of failure, loss, worthlessness, and insignificance [38]. Hvidberg et al. [39] found that the health-related QOL for patients with ME and CFS was substantially lower than patients with other conditions including: depression, schizophrenia, chronic renal failure, and various forms of cancer. In a severely affected Norwegian sample, approximately 75% of patients were housebound or bedridden most of the time [40]. Additionally, Nacul et al. [41] found both patients and their caregivers had significantly lower scores on the SF-36, a measure of disability, compared to the general population. Thus, this illness not only has major effects on the patients but has substantial deleterious effects on their caregivers, many of whom are family members.

Financial pressures exacerbate these experiences[42]. Taylor and Kielhofner [43] found that in studies reporting work status and job loss, up to 69% of patients were unemployed and as high as 89% of patients had suffered job loss due to the debilitating nature of this illness. Yet, patients generally must continue paying their ordinary housing and food, as well as medical expenses, which may not be covered by health insurance.

Because there is no definitive treatment approach and no FDA-approved drug, some patients may feel hopeless, believing they will never reach a full recovery [38,44,45]. Altogether, these circumstances compound the illness experience of patients and significantly decrease their QOL [46]. These findings suggest that some patients experience hopelessness about the prognosis of the illness, and some feel as though they are a burden to their caregivers, both factors are associated with an increased risk of suicide [47].

This study aimed to learn more about the relationship between mortality and ME and CFS. Unlike previous studies that utlized a database of deceased individuals, this study relied on self-reports from the caregivers, friends and family members of individuals who had ME or CFS and died. For the reasons cited above, we predicted that deceased individuals who had ME and CFS would have a lower mean age of death compared to national norms.

Method

Following approval from DePaul University’s Institutional Review Board, 56 participants were recruited through a variety of means including postings on social media, emails, patient advocate news websites, and newsletters for patient organizations. All participants were recruited to complete a survey asking a variety of questions about an individual who is deceased that they knew well and had been diagnosed with ME or CFS. The questionnaire was hosted online using Research Electronic Data Capture (REDCap) [48]. Participants answered questions assessing their familiarity with the aspects of the patient’s illness, how involved they were in the patient’s life, and how caring for the individual affected their own life. The participants were either family, friends, or caregivers of the patient. For brevity, all participants will be referred to as caregivers.

Symptomatology for the deceased individual was assessed using symptoms from the DePaul Symptom Questionnaire in addition to new symptoms (e.g. hypoglycemia) [49]. The questions were modified from the 5-point Likert scale to a 4-option question as follows: major problem, minor problem, not a symptom, and do not know. Additional questions assessed the onset of the illness, management of work and family life, and functional status. Participants also indicated if the patient had a caregiver, where the patient was living (e.g. nursing home), and if the patient was under the care of a medical professional. Finally, participants indicated the immediate cause of death, if it was recorded as being attributable to the illness, if they believed it was a direct result of the patient having the illness and why. Due to the small sample size, non-parametric tests were used to determine differences in demographics between deceased individuals by cause of death. Patients with missing data were excluded on an analysis-by-analysis basis.

Results

Data was collected for 56 individuals who were deceased and that had been diagnosed with ME or CFS. As shown in Table 1, the majority of the deceased were female (66.1%) with the remaining 33.9% male. Almost all (98.3%) were Caucasian/White, with just one person (1.7%) that was Asian or Pacific Islander. There was only one person (1.7%) of Latino or Hispanic origin. Regarding marital status, 46.6% were married, in a civil union, or living with a partner; 29.3% were never married at the time of their death; 24.1% were divorced, widowed, or separated. For education, 33.3% had completed high school or less; 22.8% completed some college; 22.8% had a standard college degree; and 21.1% had a graduate degree. There was a significant effect of marital status within the top three causes of death, p < .05, with those that died by suicide being more likely to have never been married compared to those that died from cardiovascular problems or cancer. However, that could be a result of the small sample size. There were no significant differences in gender, ethnicity, race, or education level between the top three causes of death (p > .05).

Table 1.

Demographic characteristics of the top three causes of death and the overall sample

Suicide Cardiovascular Problems Cancer Total Sample

(N = 15) (N = 13) (N = 10) (N = 56)

% (n) % (n) % (n) % (n)
Gender
 Male 53.3 (8) 23.1 (3) 20.0 (2) 32.1 (18)
 Female 46.7 (7) 76.9 (10) 80.0 (8) 67.9 (38)
Race
 White 93.3 (14) 100.0 (13) 100.0 (10) 98.2 (55)
 Asian or Pacific Islander 6.7 (1) 0.0 (0) 0.0 (0) 1.8 (1)
Ethnicity
 Non-Hispanic 100.0 (15) 92.3 (12) 100.0 (9) 98.1 (53)
 Hispanic 0.0 (0) 7.7 (1) 0.0 (0) 1.8 (1)
Education Level
 High School or Less 21.4 (3) 30.8 (4) 30.0 (3) 32.7 (18)
 Partial College 42.9 (6) 7.7 (1) 10.0 (1) 23.6 (13)
 College Degree 14.3 (2) 46.2 (6) 20.0 (2) 23.6 (13)
 Graduate Degree 21.4 (3) 15.4 (2) 40.0 (4) 20.0 (11)
Marital Status
 Married 20.0 (3) 61.5 (8) 50.0 (5) 44.6 (25)
 Separated, Widowed, Divorced 20.0 (3) 23.1 (3) 40.0 (4) 25.0 (14)
 Never Married 60.0 (9) 15.4 (2) 10.0 (1) 30.4 (17)

Table 2 shows the number and percentages for each cause of death. As shown in the table, suicide was the most frequent cause of death, listed for 26.8% (n = 15) of the sample. The top three causes (cardiovascular problems, cancers, and suicide) constituted 67.9% of the overall sample. The “Other” category is composed of causes of death that did not fall into any of the other categories.

Table 2.

Causes of death in patients with ME and CFS (N = 56)

n %
Suicide 15 26.8
Cardiovascular Problems 13 23.2

Heart Disease 6 10.3
Stroke 4 6.9
Pulmonary Embolism 2 3.4
Aortic Dissection 1 2.6

Cancer 10 17.9
Influenza, Pneumonia, or Infection 9 16.1
Other 6 10.7
Accidents / Homicide 3 5.4

Table 3 displays the means and standard deviations for age of death in the top three causes and all-cause mortality in patients compared to the overall U.S. population [50]. There was a significant difference, p < .0001, for age of death between the patients and the overall U.S. population for all-cause mortality, the top three causes within the patient population, and cardiovascular problems. Suicide and cancer did not reach statistical significance, but this could be a result of the small sample size for the patient population. There is an overall trend of patients with ME and CFS dying at an earlier age than the general U.S. population.

Table 3.

Means and standard deviations for age of death of the patients in the sample and the U.S.

Patients with ME and CFS U.S. Population (2014)

M (SD) M (SD)
All-Causes 55.9 (18.8) 73.5 (17.6) ***
Top Three Causes of Death 53.9 (17.1) 74.0 (3.2) ***

Suicide 41.3 (13.8) 47.4 (18.4)
Cardiovascular Problems 58.8 (15.5) 77.7 (14.6) ***
Cancer 66.3 (10.5) 71.1 (13.5)
***

p < .0001

Table 4 displays symptomatology characteristics for the top three causes and all-cause mortality in patients. Symptom data refers to the percentages of caregivers that reported the deceased experienced that symptom as a “major problem.” There was no statistical significance between suicide, cardiovascular, and cancer mortality for any of the additional illness characteristics. However, it is important to note that these rates of symptoms considered to be major problems are high, making this a very impaired group of patients. Almost half of this sample (48.2%, n = 27) was bedbound; 37.5% (n = 21) were homebound; 7.1% (n = 4) could work part-time; 7.1% (n = 4) could work full-time. This indicates that the current sample was more impaired than the general population of patients with ME or CFS, as several studies suggest that about 25% of patients are bedbound [6,7]. Additionally, 96.2% of the deceased were under the care of a medical professional at the time of death. There was no significant differences between the top three causes, but 93.3% of those that died by suicide and 100% of those that died by cardiovascular issues or cancer were under the care of a medical professional. Most of the caregivers (83.7%) attributed the patient’s cause of death to ME or CFS. Although it was not significantly different, rates of caregiver attribution differed by cause of death as follows: 92.9% for suicide, 91.7% for cardiovascular, and 62.5% for cancer.

Table 4.

Illness characteristics by cause of death (N = 56)

Suicide (n = 15) Cardiovascular (n = 13) Cancer (n = 10) Overall (N = 56)
Symptom Data (Major Problem) %(n) %(n) % (n) %(n)

 Fatigue 100.0(14) 100.0(12) 90.0 (9) 96.3(52)
 Physically Exhausted after Mild Effort 100.0(15) 100.0(12) 90.0 (9) 96.3(52)
 Unrefreshing Sleep 100.0(13) 100.0(10) 90.0 (9) 93.9(46)
 Needing to Nap Daily 72.7(8) 90.9(10) 90.0 (9) 87.0(40)
 Mentally Exhausted after Mild Effort 93.3(14) 100.0(12) 40.0 (4) 85.2(46)
 Pain or Aching in Muscles 92.9(13) 91.7(11) 66.7 (6) 84.0(42)
 Problems Falling Asleep 80.0(8) 80.0(8) 75.0 (6) 78.6(33)
 Muscle Weakness 66.7(8) 90.9(10) 66.7 (6) 77.1(37)
 Intolerant of Extreme Temperatures 85.7(6) 77.8(7) 55.6 (5) 77.1(27)
 Joint Pain / Stiffness 72.7(8) 80.0(8) 50.0 (4) 76.2(32)
 Difficulty Paying Attention 90.9(10) 72.7(8) 50.0 (5) 73.9(34)
 Headaches 90.9(10) 81.8(9) 55.6 (5) 73.8(31)
 Problems Staying Asleep 80.0(8) 80.0(8) 50.0 (5) 72.7(32)
 Sensitivity to Noise 90.9(10) 60.0(6) 44.4 (4) 72.1(31)
 Problems Remembering Things 81.8(9) 75.0(9) 50.0 (5) 70.8(34)
 Sensitivity to Bright Lights 90.9(10) 60.0(6) 33.3 (3) 70.5(31)
 Only able to Focus on One Thing at a Time 88.9(8) 72.7(8) 44.4 (4) 70.5(31)
Difficulty Expressing Thoughts 77.8(7) 66.7(8) 40.0 (4) 66.0(31)
Feeling Unsteady on His/Her Feet 60.0(6) 70.0(7) 50.0 (5) 63.8(30)
Irritable Bowel Problems 62.5(5) 72.7(8) 37.5 (3) 60.0(24)

Discussion

Causes of death in a sample of individuals with ME and CFS were provided by caregivers through an online questionnaire. Similar to Jason et al., approximately two-thirds of the sample reportedly died from suicide, cardiovascular problems, and cancer10. Unsurprisingly, more of the deceased individuals reported on were female, as this illness tends to disproportionately affect women [51,52]. Interestingly, as shown in Table 1, more males than females were reported to have died by suicide in this study (53.33% male and 46.67% female), which was the only cause of death to display this pattern.

It should be noted that individuals with ME and CFS are reportedly dying at a younger age compared to the overall population. However, only all-cause and cardiovascular-related mortality reached statistical significance. The all-cause mean age of death for this sample was 55.9 years. This is compared to the mean of 73.5 years for the US population [50]. Most strikingly, individuals in this sample died of cardiovascular problems at an average age of 58.8. The average age of death for cardiovascular problems in the United States is 77.7, a stark contrast from the average age found in patients in this sample and the prior study [10,50]. In the current study, the mean age of death for cancer was 66.3 versus the mean age of death for cancer in the United States of 71.1. Individuals that died by suicide were at a mean age of 41.3 years as opposed to 47.4, the average age of death from suicide in the United States. These differences suggest that, although the mean age of death differs significantly depending on the cause, ME and CFS may increase the likelihood of all causes and cardiovascular mortality.

The most frequent cause of death was suicide, occurring among 26.8% of patients in the sample. Roberts et al. [11] found a seven-fold increased risk of mortality as a result of suicide in a population of individuals with this illness in the United Kingdom; as a result of these findings, the authors suggested this result highlighted the importance of screening for psychiatric comorbidities. Kapur and Webb [53] incorrectly interpreted that this increased rate of suicide was due to depression and suggested treating the depression would help lower the suicide risk. However, the authors failed to note that 60% of the patients in the Roberts et al. [11] study that died by suicide did not have a depression diagnosis. Therefore, although depression may influence suicidal ideation, it would be incorrect to attribute all suicide-related death in ME and CFS to untreated depression as other factors in the patient’s life may also influence suicidal ideation or the development of symptoms of depression.

Many studies have shown there are distinct differences between depression and ME or CFS. Compared to patients with depression, patients with ME and CFS have shown significantly lower scores on the SF-36, a different degree of disability and pattern of impairment [54]; different reporting of widespread body pain [55]; distinct brain physiology [56]; and differences in white matter volume [57]. These differences suggest that, although some patients also suffer from depression, as do some patients with other serious illnesses, ME and CFS are different from solely psychiatric illnesses such as major depressive disorder [58]. Thus, alternative reasons should be considered for why some patients experience suicidal ideation instead of treating these thoughts as a result of an untreated mood disorder.

As stated, several factors may contribute to an individual with ME or CFS having suicidal thoughts or actions and the development of depression-like symptoms including: lack of treatment options and low recovery rates [5961]; increased levels of pain and disability [33,41]; greatly diminished quality of life [39,41,54]; stigma and the beliefs sometimes held by family, friends, and even physicians that the illness is not real or is just depression [6265]; job loss and subsequent poverty [66,67]; and social and familial isolation [68,69]. McInnis et al. [70] found that patients with ME and CFS experience unsupportive social interactions significantly more often than healthy individuals or patients with more legitimized autoimmune illnesses (i.e. rheumatoid arthritis, lupus erythematosus, and multiple sclerosis) so they are experiencing people telling them that they are overreacting or are emotionally and physically abandoning the patient.

Recently, Jiménez-Ortiz [13] attempted to clarify the circumstances surrounding the risk of suicide and depression in people affected by ME and CFS in Spain. The study found a 12.75% risk of suicide in the patient population compared to a risk in the general Spanish population of 2.3%. Additionally, the incidence of depression, a risk factor for suicide, among the patients was 57.25% compared to just 4% of the general population. Findings suggested that a lack of medical care, not being listened to by physicians, needing daily support from family, and not having the ability to earn a living outside of the home were all factors that contributed to an increased risk of suicide in these patients. There were also several factors found to contribute to risk for depression and hopelessness in patients: improper treatment by medical professionals, job loss, loss of friendships, and being sent for psychological or psychiatric treatment. This is the first study to assess external factors that may increase the risk of suicide or the development of depression in a patient with ME or CFS. Unfortunately, the current study and others like it [10,11] did not assess the reasons why these patients died by suicide because the data were collected after death. Future research should investigate these factors similar to the Jiménez-Ortiz [13] study that may be influencing suicidal ideation and their relationship with depression in patients instead of attempting a psychological autopsy and attributing it to depression. The findings of such research might be instrumental in efforts directed to reducing stigma and providing better medical care, daily support from family, and economic resources that might reduce suicidal ideation and action. In addition, the findings of such research would help determine how these severely impacted individuals may be helped by multidisciplinary health care settings better attending to their needs.

An additional 23.2% of individuals in this sample died as a result of cardiovascular problems. Prior research show various cardiovascular issues in patients with ME and CFS, which could explain why almost one quarter of this sample died as a result of these problems. Streeten et al. [71] found that patients had significant decreases in circulating erythrocyte volume. This results in the patient becoming anemic similar to primary autonomic failure.This finding is significant as anemia has been linked to an increased risk of mortality in several chronic conditions including kidney disease, congestive heart failure, and chronic obstructive pulmonary disorder [72,73]. Additionally, Richards et al. [74] found an increase of methemoglobin, which is unable to bind oxygen and is evidence of oxidative damage, in patients and an increased amount of stomatocytes (concaved erythrocytes due to membrane damage) in their blood compared to controls. These results indicate there are serious deficiencies in the cardiovascular system in patients, which could make them more susceptible to earlier mortality related to the cardiovascular system.

Another 17.9% of patients died as a result of cancer. Immune abnormalities and chronic manifestations of infections have been reported in CFS and ME [75]. Additionally, viruses such as the Epstein-Barr virus (EBV) have been implicated in the development of CFS [75]. Some of the infections thought to play a role in the etiology of this illness and immune-related conditions are also associated with the development of certain cancers through immunological abnormalities and infections [7779]. For example, Chang et al. [80] found an association between CFS and non-Hodgkin lymphoma (NHL).

In addition to the reported earlier ages of death, caregivers are frequently attributing the death to ME or CFS. The majority of caregivers (83.7%) believed that ME or CFS should be implicated in the patient’s death. This is disproportionate with the reported mortality rate. The National Institutes of Health (NIH) reported that only 16 patients died as a result of ME or CFS in 2014 [81]. The low mortality rate could be a result of this rate being based on the ICD-10 code for postviral fatigue syndrome [82]. Additionally, it is possible that ME or CFS is not listed when the primary cause of death is more apparent, such as with cancer.

Limitations

This study has several limitations. Most notably, these results are based on a caregiver’s knowledge of the patient’s cause of death. There was no confirmation of cause of death other than the self-report provided by the participant. Since the study was conducted after the patients died, we were unable to medically confirm the diagnosis of cancer, depression, or other health issues reported by the caregivers. Thus, inaccurate information may have been provided. A longitudinal, prospective study would provide the most accurate depiction of cause of death for patients. Jason et al. found a higher incidence of death than expected in a ten-year follow-up of an epidemiological study [83]. In the ten years following wave one of the study, 12.5% of the patients in the CFS group had died compared to just 10.6% of the control group. The patients in this sample had died of septicemia or cancer at ages younger than is expected in the general population.

It is also unclear if this is an accurate representation of the overall population of patients. After the patient dies, it is possible that caregivers withdraw from the patient community since they may feel they no longer have a connection with surviving patients and caregivers. Thus, we might not have reached many caregivers who knew patients that died but were no longer in communication with the ME or CFS community. Additionally, this is a very impaired group of patients. Almost half of the patients reported on in this sample were bedbound, which is twice the rate found in prior literature [6,7]. However, it is possible the earlier mortality is related to illness severity and functional status. A longitudinal study would be able to better assess the relationship between illness severity and risk for earlier mortality. Thus, it is not possible to generalize these findings to the overall patient population. Despite these limitations, it is still important to note that there appears to be an increased risk of early mortality among the patients reported on in this sample.

Acknowledgments

Funding: This study was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (Grant No. HD072208).

References

  • 1.Afari N, Buchwald D. Chronic fatigue syndrome: a review. Am J Psychiatry. 2003;160:221–36. doi: 10.1176/appi.ajp.160.2.221. [DOI] [PubMed] [Google Scholar]
  • 2.Carruthers BM, Jain AK, De Meirleir KL, et al. Myalgic encephalomyelitis/chronic fatigue syndrome: clinical working case definition, diagnostic and treatment protocols. J Chronic Fatigue Syndr. 2003;11:7–115. [Google Scholar]
  • 3.Carruthers BM, van de Sande MI, De Meirleir KL, et al. Myalgic encephalomyelitis: international consensus criteria. J Intern Med. 2011;270:327–338. doi: 10.1111/j.1365-2796.2011.02428.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Fukuda K, Straus SE, Hickie I, Sharpe MC, Dobbins JG, Komaroff A. The chronic fatigue syndrome: a comprehensive approach to its definition and study. Ann Intern Med. 1994;121:953–959. doi: 10.7326/0003-4819-121-12-199412150-00009. [DOI] [PubMed] [Google Scholar]
  • 5.IOM (Institute of Medicine) Beyond myalgic encephalomyelitis/chronic fatigue syndrome: Redefining an illness. Washington, DC: The National Academies Press; 2015. [PubMed] [Google Scholar]
  • 6.Pendergrast T, Brown A, Sunnquist M, et al. Housebound versus nonhousebound patients with myalgic encephalomyelitis and chronic fatigue syndrome. Chronic Illn. 2016 doi: 10.1177/1742395316644770. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Pheby D, Saffron L. Risk factors for severe ME/CFS. Biol Med. 2009;1:50–74. [Google Scholar]
  • 8.Spotilla J. ME/CFS Mortality [Web log post] 2014 Available at http://www.occupycfs.com/2014/07/07/mecfs-mortality/
  • 9.Smith WR, Noonan C, Buchwald D. Mortality in a cohort of chronically fatigued patients. Psychol Med. 2006;36:1301–6. doi: 10.1017/S0033291706007975. [DOI] [PubMed] [Google Scholar]
  • 10.Jason LA, Corradi K, Gress S, Williams S, Torres-Harding S. Causes of death among patients with chronic fatigue syndrome. Health Care Women Int. 2006;27:615–626. doi: 10.1080/07399330600803766. [DOI] [PubMed] [Google Scholar]
  • 11.Roberts E, Wessely S, Chalder T, Chang CK, Hotopf M. Mortality of people with chronic fatigue syndrome: a retrospective cohort study in England and Wales from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Clinical Record Interactive Search (CRIS) Register. Lancet. 2016;387:1638–1643. doi: 10.1016/S0140-6736(15)01223-4. [DOI] [PubMed] [Google Scholar]
  • 12.Sharpe MC, Archard LC, Banatvala JE, et al. A report--chronic fatigue syndrome: guidelines for research. JRSM. 1991;84:118. doi: 10.1177/014107689108400224. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Jiménez-Ortiz JJ. Depresión y desesperanza en personas enfermas de Encefalomielitis Miálgica/Síndrome de Fatiga Crónica: Factores de riesgo y de protección. Available at http://uvadoc.uva.es/handle/10324/13868.2015.
  • 14.Peckerman A, LaManca JJ, Dahl KA, Chemitiganti R, Qureishi B, Natelson BH. Abnormal impedance cardiography predicts symptom severity in chronic fatigue syndrome. Am J Med Sci. 2003;326:55–60. doi: 10.1097/00000441-200308000-00001. [DOI] [PubMed] [Google Scholar]
  • 15.Miwa K. Cardiac dysfunction and orthostatic intolerance in patients with myalgic encephalomyelitis and a small left ventricle. Heart Vessel. 2015;30:484–489. doi: 10.1007/s00380-014-0510-y. [DOI] [PubMed] [Google Scholar]
  • 16.Hollingsworth KG, Hodgson T, Macgowan GA, Blamire AM, Newton JL. Impaired cardiac function in chronic fatigue syndrome measured using magnetic resonance cardiac tagging. J Intern Med. 2012;271:264–270. doi: 10.1111/j.1365-2796.2011.02429.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Newton JL, Finkelmeyer A, Petrides G, et al. Reduced cardiac volumes in chronic fatigue syndrome associated with plasma volume but not length of disease: a cohort study. Open Heart. 2016;3 doi: 10.1136/openhrt-2015-000381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Boneva RS, Decker MJ, Maloney EM, et al. Higher heart rate and reduced heart rate variability persist during sleep in chronic fatigue syndrome: a population-based study. Auton Neurosci. 2007;137:94–101. doi: 10.1016/j.autneu.2007.08.002. [DOI] [PubMed] [Google Scholar]
  • 19.Dekker JM, Crow RS, Folsom AR, et al. Low heart rate variability in a 2-minute rhythm strip predicts risk of coronary heart disease and mortality from several causes The ARIC Study. Circ. 2000;102:1239–1244. doi: 10.1161/01.cir.102.11.1239. [DOI] [PubMed] [Google Scholar]
  • 20.Tsuji H, Venditti FJ, Manders ES, et al. Reduced heart rate variability and mortality risk in an elderly cohort. The Framingham Heart Study. Circ. 1994;90:878–883. doi: 10.1161/01.cir.90.2.878. [DOI] [PubMed] [Google Scholar]
  • 21.Newton JL, Sheth A, Shin J, et al. Lower ambulatory blood pressure in chronic fatigue syndrome. Psychosom Med. 2009;71:361–365. doi: 10.1097/PSY.0b013e31819ccd2a. [DOI] [PubMed] [Google Scholar]
  • 22.Treiber FA, Kamarck T, Schneiderman N, Sheffield D, Kapuku G, Taylor T. Cardiovascular reactivity and development of preclinical and clinical disease states. Psychosom Med. 2003;65:46–62. doi: 10.1097/00006842-200301000-00007. [DOI] [PubMed] [Google Scholar]
  • 23.Hollingsworth KG, Jones DE, Taylor R, Blamire AM, Newton JL. Impaired cardiovascular response to standing in chronic fatigue syndrome. Eur J Clin Invest. 2010;40:608–615. doi: 10.1111/j.1365-2362.2010.02310.x. [DOI] [PubMed] [Google Scholar]
  • 24.Low PA, Sandroni P, Joyner M, Shen WK. Postural tachycardia syndrome (POTS) J Cardiovasc Electrophysiol. 2009;20:352–358. doi: 10.1111/j.1540-8167.2008.01407.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Frith J, Zalewski P, Klawe JJ, et al. Impaired blood pressure variability in chronic fatigue syndrome—a potential biomarker. Qjm. 2012;105:831–838. doi: 10.1093/qjmed/hcs085. [DOI] [PubMed] [Google Scholar]
  • 26.Hurwitz BE, Coryell VT, Parker M, et al. Chronic fatigue syndrome: illness severity, sedentary lifestyle, blood volume and evidence of diminished cardiac function. Clin Sci. 2009;118:125–135. doi: 10.1042/CS20090055. [DOI] [PubMed] [Google Scholar]
  • 27.Hassett AL, Aquino JK, Ilgen MA. The risk of suicide mortality in chronic pain patients. Curr Pain Headache Rep. 2014;18:1–7. doi: 10.1007/s11916-014-0436-1. [DOI] [PubMed] [Google Scholar]
  • 28.Aaron LA, Burke MM, Buchwald D. Overlapping conditions among patients with chronic fatigue syndrome, fibromyalgia, and temporomandibular disorder. Arch Intern Med. 2000;160:221–227. doi: 10.1001/archinte.160.2.221. [DOI] [PubMed] [Google Scholar]
  • 29.Dreyer L, Kendall S, Danneskiold-Samsøe B, Bartels EM, Bliddal H. Mortality in a cohort of Danish patients with fibromyalgia: Increased frequency of suicide. Arthritis & Rheumatism. 2010;62:3101–3108. doi: 10.1002/art.27623. [DOI] [PubMed] [Google Scholar]
  • 30.Wolfe F, Hassett AL, Walitt B, Michaud K. Mortality in fibromyalgia: A study of 8,186 patients over thirty-five years. Arthritis Care Res. 2011;63:94–101. doi: 10.1002/acr.20301. [DOI] [PubMed] [Google Scholar]
  • 31.Ilgen MA, Zivin K, Austin KL, et al. Severe pain predicts greater likelihood of subsequent suicide. Suicide Life Threat Behav. 2010;40:597–608. doi: 10.1521/suli.2010.40.6.597. [DOI] [PubMed] [Google Scholar]
  • 32.Kikuchi N, Ohmori-Matsuda K, Shimazu T, et al. Pain and risk of completed suicide in Japanese men: a population-based cohort study in Japan (Ohsaki Cohort Study) J Pain Symptom Manage. 2009;37:316–324. doi: 10.1016/j.jpainsymman.2008.03.012. [DOI] [PubMed] [Google Scholar]
  • 33.Meeus M, Roussel NA, Truijen S, Nijs J. Reduced pressure pain thresholds in response to exercise in chronic fatigue syndrome but not in chronic low back pain: an experimental study. J Rehabil Med. 2010;42:884–890. doi: 10.2340/16501977-0595. [DOI] [PubMed] [Google Scholar]
  • 34.Deale A, Wessely S. Patients’ perceptions of medical care in chronic fatigue syndrome. Soc Sci Med. 2001;52:1859–1864. doi: 10.1016/s0277-9536(00)00302-6. [DOI] [PubMed] [Google Scholar]
  • 35.Edwards CR, Thompson AR, Blair A. An ‘overwhelming illness’ women’s experiences of learning to live with chronic fatigue syndrome/myalgic encephalomyelitis. J Health Psychol. 2007;12:203–214. doi: 10.1177/1359105307071747. [DOI] [PubMed] [Google Scholar]
  • 36.Lehman AM, Lehman DR, Hemphill KJ, Mandel DR, Cooper LM. Illness experience, depression, and anxiety in chronic fatigue syndrome. J Psychosom Res. 2002;52:461–465. doi: 10.1016/s0022-3999(02)00318-5. [DOI] [PubMed] [Google Scholar]
  • 37.Ware NC. Suffering and the social construction of illness: The delegitimation of illness experience in chronic fatigue syndrome. Med Anthropol Q. 1992;6:347–361. [Google Scholar]
  • 38.Dickson A, Knussen C, Flowers P. ‘That was my old life; it's almost like a past-life now’: Identity crisis, loss and adjustment amongst people living with Chronic Fatigue Syndrome. Psychol Health. 2008;23:459–476. doi: 10.1080/08870440701757393. [DOI] [PubMed] [Google Scholar]
  • 39.Hvidberg MF, Brinth LS, Olesen AV, Petersen KD, Ehlers L. The health-related quality of life for patients with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) PloS One. 2015;10:e0132421. doi: 10.1371/journal.pone.0132421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Bringsli GJ, Gilje AM, Getz Wold BK. The Norwegian ME Association National Survey: Abridged English version. Oslo, Norway: The Norwegian ME Association; 2014. [Google Scholar]
  • 41.Nacul LC, Lacerda EM, Campion P, et al. The functional status and well being of people with myalgic encephalomyelitis/chronic fatigue syndrome and their carers. BMC Pub Health. 2011;11:1. doi: 10.1186/1471-2458-11-402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Jason LA, Benton MC, Valentine L, Johnson A, Torres-Harding S. The economic impact of ME/CFS: individual and societal costs. Dyn Med. 2008;7:6. doi: 10.1186/1476-5918-7-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Taylor RR, Kielhofner GW. Work-related impairment and employment-focused rehabilitation options for individuals with chronic fatigue syndrome: A review. J Ment Health. 2005;14:253–267. [Google Scholar]
  • 44.Food and Drug Adminitration. The voice of the patient: Chronic fatigue syndrome and myalgic encephalomyelitis. 2013 Retrieved from: http://www.fda.gov/ForIndustry/UserFees/PrescriptionDrugUserFee/ucm368342.htm.
  • 45.Moore B. Public testimony: Billie Moore. Chronic Fatigue Syndrome Advisory Committee Meeting; Washington, D.C. 2012. [Google Scholar]
  • 46.Schoofs N, Bambini D, Ronning P, Bielak E, Woehl J. Death of a lifestyle: the effects of social support and healthcare support on the quality of life of persons with fibromyalgia and/or chronic fatigue syndrome. Orthop Nurs. 2004;23:364–374. doi: 10.1097/00006416-200411000-00005. [DOI] [PubMed] [Google Scholar]
  • 47.Van Orden KA, Witte TK, Cukrowicz KC, Braithwaite SR, Selby EA, Joiner TE. The interpersonal theory of suicide. Psychol Rev. 2010;117:575. doi: 10.1037/a0018697. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–81. doi: 10.1016/j.jbi.2008.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Jason L, Evans M, Porter N, et al. The development of a revised Canadian myalgic encephalomyelitis chronic fatigue syndrome case definition. Am J Biochem Biotechnol. 2010a;6:120–35. [Google Scholar]
  • 50.Centers for Disease Control and Prevention (CDC), National Center for Health Statistics. Underlying Cause of Death 1999–2014 on CDC WONDER Online Database, released 2015. [on June 20, 2016];Data are from the Multiple Cause of Death Files, 1999–2014, as compiled from data provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative Program. 2015 Accessed at: http://wonder.cdc.gov/ucd-icd10.html.
  • 51.Reyes M, Nisenbaum R, Hoaglin DC, et al. Prevalence and incidence of chronic fatigue syndrome in Wichita, Kansas. Arch Intern Med. 2003;163:1530–1536. doi: 10.1001/archinte.163.13.1530. [DOI] [PubMed] [Google Scholar]
  • 52.Jason LA, Richman JA, Rademaker AW, et al. A community-based study of chronic fatigue syndrome. Arch Intern Med. 1999;159:2129–2137. doi: 10.1001/archinte.159.18.2129. [DOI] [PubMed] [Google Scholar]
  • 53.Kapur N, Webb R. Suicide risk in people with chronic fatigue syndrome. Lancet. 2016;387:1596–1597. doi: 10.1016/S0140-6736(16)00270-1. [DOI] [PubMed] [Google Scholar]
  • 54.Komaroff AL, Fagioli LR, Doolittle TH, et al. Health status in patients with chronic fatigue syndrome and in general population and disease comparison groups. Am J Med. 1996;101:281–290. doi: 10.1016/S0002-9343(96)00174-X. [DOI] [PubMed] [Google Scholar]
  • 55.Morriss RK, Ahmed M, Wearden AJ, et al. The role of depression in pain, psychophysiological syndromes and medically unexplained symptoms associated with chronic fatigue syndrome. J Affect Disord. 1999;55:143–148. doi: 10.1016/s0165-0327(98)00218-3. [DOI] [PubMed] [Google Scholar]
  • 56.Duffy FH, McAnulty GB, McCreary MC, Cuchural GJ, Komaroff AL. EEG spectral coherence data distinguish chronic fatigue syndrome patients from healthy controls and depressed patients-a case control study. BMC Neurol. 2011;11:1. doi: 10.1186/1471-2377-11-82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Barnden LR, Crouch B, Kwiatek R, Burnet R, Del Fante P. Evidence in chronic fatigue syndrome for severity-dependent upregulation of prefrontal myelination that is independent of anxiety and depression. NMR in Biomed. 2015;28:404–413. doi: 10.1002/nbm.3261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Hawk C, Jason LA, Torres-Harding S. Differential diagnosis of chronic fatigue syndrome and major depressive disorder. Int J Beh Med. 2006;13:244–251. doi: 10.1207/s15327558ijbm1303_8. [DOI] [PubMed] [Google Scholar]
  • 59.Cairns R, Hotopf M. A systematic review describing the prognosis of chronic fatigue syndrome. Occupational Medicine. 2005;55:20–31. doi: 10.1093/occmed/kqi013. [DOI] [PubMed] [Google Scholar]
  • 60.Chambers D, Bagnall AM, Hempel S, Forbes C. Interventions for the treatment, management and rehabilitation of patients with chronic fatigue syndrome/myalgic encephalomyelitis: an updated systematic review. JRSM. 2006;99:506–520. doi: 10.1258/jrsm.99.10.506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Whiting P, Bagnall AM, Sowden AJ, Cornell JE, Mulrow CD, Ramírez G. Interventions for the treatment and management of chronic fatigue syndrome: a systematic review. JAMA. 2001;286:1360–1368. doi: 10.1001/jama.286.11.1360. [DOI] [PubMed] [Google Scholar]
  • 62.Dickson A, Knussen C, Flowers P. Stigma and the delegitimation experience: An interpretative phenomenological analysis of people living with chronic fatigue syndrome. Psychol Health. 2007;22:851–867. [Google Scholar]
  • 63.Jason LA, Taylor RR, Stepanek Z, Plioplys S. Attitudes regarding chronic fatigue syndrome: The importance of a name. J Health Psychol. 2001;6:61–71. doi: 10.1177/135910530100600105. [DOI] [PubMed] [Google Scholar]
  • 64.Jason LA, Richman JA. How science can stigmatize: the case of chronic fatigue syndrome. J Chronic Fatigue Syndr. 2007;14:85–103. [Google Scholar]
  • 65.Looper KJ, Kirmayer LJ. Perceived stigma in functional somatic syndromes and comparable medical conditions. J Psychosom Res. 2004;57:373–378. doi: 10.1016/j.jpsychores.2004.03.005. [DOI] [PubMed] [Google Scholar]
  • 66.Assefi NP, Coy TV, Uslan D, Smith WR, Buchwald D. Financial, occupational, and personal consequences of disability in patients with chronic fatigue syndrome and fibromyalgia compared to other fatiguing conditions. J Rheumatol. 2003;30:804–808. [PubMed] [Google Scholar]
  • 67.Reynolds KJ, Vernon SD, Bouchery E, Reeves WC. The economic impact of chronic fatigue syndrome. Cost Eff Resour Alloc. 2004;2:1. doi: 10.1186/1478-7547-2-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Schweitzer R, Kelly B, Foran A, Terry D, Whiting J. Quality of life in chronic fatigue syndrome. Soc Sci Med. 1995;41:1367–1372. doi: 10.1016/0277-9536(95)00124-p. [DOI] [PubMed] [Google Scholar]
  • 69.Ware NC. Toward a model of social course in chronic illness: the example of chronic fatigue syndrome. Cult Med Psychiatry. 1999;23:303–331. doi: 10.1023/a:1005577823045. [DOI] [PubMed] [Google Scholar]
  • 70.McInnis OA, Matheson K, Anisman H. Living with the unexplained: coping, distress, and depression among women with chronic fatigue syndrome and/or fibromyalgia compared to an autoimmune disorder. Anxiety Stress Coping. 2014;27:601–618. doi: 10.1080/10615806.2014.888060. [DOI] [PubMed] [Google Scholar]
  • 71.Streeten DH, Thomas D, Bell DS. The roles of orthostatic hypotension, orthostatic tachycardia, and subnormal erythrocyte volume in the pathogenesis of the chronic fatigue syndrome. Am J Med Sci. 2000;320:1–8. doi: 10.1097/00000441-200007000-00001. [DOI] [PubMed] [Google Scholar]
  • 72.Chambellan A, Chailleux T, Similowski T. Prognostic value of the hematocrit in patients with severe COPD receiving long term oxygen therapy. Chest. 2005;128:1201–1208. doi: 10.1378/chest.128.3.1201. [DOI] [PubMed] [Google Scholar]
  • 73.Go AS, Yang J, Ackerson LM, et al. Hemoglobin level, chronic kidney disease, and the risks of death and hospitalization in adults with chronic heart failure: the Anemia in Chronic Heart Failure: Outcomes and Resource Utilization (ANCHOR) Study. Circ. 2006;113:2713–2723. doi: 10.1161/CIRCULATIONAHA.105.577577. [DOI] [PubMed] [Google Scholar]
  • 74.Richards RS, Wang L, Jelinek H. Erythrocyte oxidative damage in chronic fatigue syndrome. Arch Med Res. 2007;38:94–98. doi: 10.1016/j.arcmed.2006.06.008. [DOI] [PubMed] [Google Scholar]
  • 75.Lorusso L, Mikhaylova SV, Capelli E, Ferrari D, Ngonga GK, Ricevuti G. Immunological aspects of chronic fatigue syndrome. Autoimmun Rev. 2009;8:287–291. doi: 10.1016/j.autrev.2008.08.003. [DOI] [PubMed] [Google Scholar]
  • 76.Devanur LD, Kerr JR. Chronic fatigue syndrome. J Clin Virol. 2006;37:139–150. doi: 10.1016/j.jcv.2006.08.013. [DOI] [PubMed] [Google Scholar]
  • 77.de Sanjose S, Benavente Y, Vajdic CM, et al. Hepatitis C and non-Hodgkin lymphoma among 4784 cases and 6269 controls from the International Lymphoma Epidemiology Consortium. Clin Gastroenterol Hepatol. 2008;6:451–458. doi: 10.1016/j.cgh.2008.02.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Erber E, Lim U, Maskarinec G, Kolonel LN. Common immune-related risk factors and incident non-Hodgkin lymphoma: the multiethnic cohort. Int J Cancer. 2009;125:1440–1445. doi: 10.1002/ijc.24456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Zhang Y, Holford TR, Leaderer B, et al. Blood transfusion and risk of non-Hodgkin's lymphoma in Connecticut women. Am J Epidemiol. 2004;160:325–330. doi: 10.1093/aje/kwh233. [DOI] [PubMed] [Google Scholar]
  • 80.Chang CM, Warren JL, Engels EA. Chronic fatigue syndrome and subsequent risk of cancer among elderly US adults. Cancer. 2012;118:5929–5936. doi: 10.1002/cncr.27612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Estimates of funding for various research, condition, and disease categories (RCDC) [Internet] Bethesda: National Institutes of Health; [updated 2016 February 10]. Available from: http://report.nih.gov/categorical_spending.aspx. [Google Scholar]
  • 82.World Health Organization (WHO) The ICD-10 classification of mental and behavioural disorders: Clinical descriptions and diagnostic guidelines. Geneva: World Health Organization; 1992. [Google Scholar]
  • 83.Jason LA, Porter N, Hunnell J, Rademaker A, Richman JA. CFS prevalence and risk factors over time. J Health Psychol. 2010b;16:445–456. doi: 10.1177/1359105310383603. [DOI] [PMC free article] [PubMed] [Google Scholar]

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