Showing posts with label leonard jason. Show all posts
Showing posts with label leonard jason. Show all posts

Wednesday, March 19, 2014

ME/CFS Mortality Study: Research Participants Needed


Dr. Leonard Jason is a highly respected researcher in the field of ME/CFS. He is the only person in the U.S., to date, who has done epidemiological research on mortality in ME/CFS. 

He is now conducting a further investigation of mortality in the patient population. This research is badly needed because the disease is usually described as "benign" - that is, non-fatal.




Were you familiar with someone who had been diagnosed with myalgic encephalomyelitis (ME) or chronic fatigue syndrome (CFS) and has since passed away?

Researchers at DePaul University are looking to investigate issues related to ME and CFS mortality by hearing directly from surviving family members, friends, and/or caregivers of individuals who had ME or CFS and are now deceased.

Participation in this study is voluntary. We understand that this is a sensitive topic and that it might be emotionally difficult for some individuals to participate.

However, we believe the information we will obtain from this study has the potential to lead to a better understanding of ME and CFS mortality. The medical community and relevant government agencies need to be informed of the frequency and circumstances of deaths resulting from or associated with having ME or CFS. The purpose of this study is to document the severity and consequences of ME and CFS.

If you know someone who passed away after being sick with ME or CFS, please participate in this important survey. If you can distribute this request for study participants to all whom you know in the ME and CFS communities, please do so. This research can help to make the disease(s) of ME and CFS less invisible for patients and their loved ones.

Participants will be asked to complete a confidential online survey and will be given the opportunity to volunteer for an additional in-person or phone interview. The online survey portion is expected to take up to 1 hour of a participant’s time. Participants must be at least 18 years old.

DePaul University has published many studies of ME and CFS and is a well respected source of information about the disease.
____________________

If you are interested in participating, please use this link to access the survey here.

If you have any questions, you can contact Abby Brown at

773-325-1164773-325-1164 or at DePaulMECFSResearch@gmail.com

DePaul University, Center for Community Research
990 West Fullerton Avenue, Suite 3100
Chicago, IL 60614

Sunday, February 2, 2014

Definitions, Shmefinitions - Leonard Jason's Team Leaves Them All in the Dust

While the arguments surrounding the quest for the One and Only True Case Definition continue unabated, Leonard Jason and his crew have quietly developed an instrument that will not only diagnose ME/CFS with 90% accuracy, but can easily be used by anyone researching the illness to establish a patient cohort.

Last April a paper was published in an obscure journal that may have profound implications for the ME/CFS community. The paper was titled "Identifying Defining Aspects of Chronic Fatigue Syndrome via Unsupervised Machine Learning and Feature Selection" and it appeared in the International Journal of Machine Learning and Computing. Perhaps it is unfair to characterize this journal as obscure, as it is probably well known to computer science majors everywhere. It is obscure, however, to the IOM ... and to physicians, and to clinical researchers, and to pharma, and to anyone not in the computer science loop.

The reason this paper is so important, and why it can potentially put an end to the case definition war, is that the researchers have produced an instrument that not only will predict ME/CFS with greater accuracy than all existing case definitions, but can be used by anybody - physicians, researchers, people designing studies for pharma, the CDC, HHS, and even patients themselves.

How did they do it?

What the research team did was employ a computer algorithm normally used for data mining and clustering to sift through the answers on Jason's DePaul Symptom Questionnaire (DSQ). The DSQ contains 54 ME/CFS symptoms, which patients rank by frequency and severity. (These are the two parameters not included in the Fukuda definition, and which Lily Chu correctly insisted be included in any definition produced by the IOM.)

They then allowed the algorithm to crunch the data. Fifteen symptoms were prominent:


These symptoms can be grouped into fatigue, PEM, neurocognitive impairment, sleep disorder, and pain. Noticeably absent was depression - the singlemost confounding condition for research studies that rely on fatigue to establish a cohort. Only eleven of these symptoms were required to make an accurate diagnosis.

Modestly, the researchers proposed that their findings "hold promise for the development of an empirical CFS case definition as an accurate diagnostic tool." They suggest that "future work should focus on extending these findings to standardized criteria that can be easily implemented in a clinical setting."

The beauty of this elegant instrument is that by adjusting for symptoms that are prominent among some, but not all, people with ME/CFS, it can also be used to identify subgroups.

Without a doubt, other clinical features of this disease that are revealed by immune system, endocrine system, and nervous system tests will have to be added, as well as other objective, measurable abnormalities such as the two-day CPET. But so far, this "unsupervised machine learning and feature selection" tool is the best jumping-off point that has been developed.

Now, I believe, would be a good time for those seeking to devise an accurate case definition for ME/CFS to enter into the 21st century.

Read the full study HERE.
____________________

Citation: Samuel P. Watson, Amy S. Ruskin, Valerie Simonis, Leonard A. Jason, Madison Sunnquist, and Jacob D. Furst, "Identifying Defining Aspects of Chronic Fatigue Syndrome via Unsupervised Machine Learning and Feature Selection," International Journal of Machine Learning and Computing vol.4, no. 2, pp. 133-138, 2014.

Sunday, January 26, 2014

Diseases can stigmatize

Below is a post which appeared on the OUP blog last week.  Leonard Jason is a professor of psychology at DePaul University in Chicago, Illinois, where he also directs the Center for Community Research.

Since the mid-1990s, Dr. Jason has published more than 60 papers on ME/CFS. Dr. Jason is best known for his epidemiological studies of the disease, for which he has received many honors and awards.



Diseases can stigmatize

By Leonard A. Jason, Oxford University Press Blog, January 21, 2014

Names of diseases have never required scientific accuracy (e.g. malaria means bad air, lyme is a town, and ebola is a river). But some disease names are offensive, victim-blaming, and stigmatizing. Multiple sclerosis was once called hysterical paralysis when people believed that this disease was caused by stress linked with oedipal fixations. AIDS was initially called “Gay Men’s disease” when it was considered a disease only affecting white gay men. Fortunately, when these disease names were changed, those afflicted with Multiple Sclerosis and AIDS experienced less stigma. Inspired patient activists from around the world are currently engaged in another major effort to rename chronic fatigue syndrome (CFS). It is a political struggle to alleviate some of the stigma caused by the language of scientists at the CDC 25 years ago.

Chronic fatigue syndrome is an illness as debilitating as Type II diabetes mellitus, congestive heart failure, multiple sclerosis, and end-stage renal disease. Yet 95% of individuals seeking medical treatment for CFS reported feelings of estrangement; 85% of clinicians view CFS as a wholly or partially psychiatric disorder; and hundreds of thousands of patients cannot find a single knowledgeable and sympathetic physician to take care of them. Patients believe that the name CFS has contributed to health care providers as well as the general public having negative attitudes towards them. They feel that the word “fatigue” trivializes their illness, as fatigue is generally regarded as a common symptom experienced by many otherwise healthy individuals. Activists add, that if bronchitis or emphysema were called chronic cough syndrome, the results would be a trivialization of those illnesses.

Powerful vested forces have opposed changes. In the late 1990s and early 2000s, when I mentioned over the years that patients were stigmatized by the term chronic fatigue syndrome, I was explicitly told it was reckless and irresponsible to change the name. This was despite the fact that patients wanted more medical-sounding name, and our research group had found that a more medical-sounding term like myalgic encephalopathy (ME) was more likely to influence participants to attribute a physiological cause to the illness.

Over the last decade, patient demands for change have grown louder. New names have occurred for several patient organizations (e.g. the Patient Alliance for Neuroendocrineimmune Disorders Organization for Research and Advocacy and the Myalgic Encephalomyelitis Society of America) and research/clinical settings (Whittemore/Peterson Institute for Neuro-Immune Disease). Even the federal government has begun to use the term ME/CFS, and the organization of researchers changed their name to the International Association of CFS/ME. Ultimately, many activist groups want the term myalgic encephalomyelits to replace CFS. Bringing about a name change is a complicated endeavor, and small variations of language can have significant consequences among the stakeholders.

In addition to this effort to rename chronic fatigue syndrome, there is considerable patient activism to change the case definition, which was arrived at by consensus at the CDC rather than through empirical methods. Patients report and surveys confirm that core symptoms of the illness include post-exertional malaise, memory/concentration problems, or unrefreshing sleep. Yet these fundamental symptoms are not required within the current case definition. Patients want the current case definition to be replaced with one that requires these types of fundamental symptoms. If laboratories in different settings identify samples that are not homogenous, then consistent biological markers will not be found, and then many will continue to believe the illness is one of a psychogenic nature, just as once occurred for multiple sclerosis. Clearly, issues concerning reliability of clinical diagnosis are complex and have important research and practical implications. In order to progress the search for biological markers and effective treatments, essential features of this illness need to be empirically identified to increase the probability that individuals included in samples have the same underlying illness.

If progress is to be made on both the name change and an empirical case definition, key gatekeepers including the patients, scientists, clinicians, and government officials will need to work collaboratively and in a transparent way to build a consensus for change. Considerable activity is currently ongoing at the federal level on these critical issues, but only through open communications and the building of trust will there be the possibility of overcoming the past 25 years, which have been marked by feelings of anger and hostility due to being excluded from the decision-making process.
Related Posts Plugin for WordPress, Blogger...