ME/CFS: Activity Patterns and Autonomic Dysfunction

November 1, 2016 updated by: Stony Brook University
The purpose of this study is to identify daily activity patterns, negative life events and autonomic abnormalities that may be related to non-improvement in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). For both naturalistic studies and behavioral intervention trials, roughly 50% of patients report worsening or unchanged illness. The proposed four year study would be the first to look at the relation between illness non-improvement, patient activities at home and autonomic function. Our long-range goal is to identify physiological signals and activity patterns that predict non-improvement and relapse and develop a self-management program that prescribes improvement-linked behaviors and discourages non-improvement activities.

Study Overview

Status

Unknown

Detailed Description

Given the enduring debilitation and poor quality of life in ME/CFS, this study proposes to identify important activity patterns (e.g., push-crash), negative life events and autonomic dysfunction that may be associated with non-improvement. This will be accomplished with weekly online diaries, objective measures (actigraphy, heart rate monitors) and semi-structured phone interviews. Non-improvement is a rarely studied, but commonly reported outcome in this illness. For both naturalistic studies and behavioral intervention trials, roughly 50% of ME/CFS patients report worsening or unchanged illness. Also, the patient's self-management efforts may (paradoxically) produce symptom worsening and contribute to illness non-improvement. Non-improvement may also have biological relevance because activity limitations and sleep disruption in ME/CFS have both been associated with autonomic dysregulation (reduced heart rate variability). This (R01) prospective observational six month study of both daily and weekly in vivo assessments would be the first to look at non-improvement in relation to ongoing patient activities and autonomic function.

Specific Aim 1: To assess the relation between non-improvement and prospectively assessed activity patterns and life events. Hypothesis 1: Non-improvement will be significantly associated with these dimensional variables: (a) illness-exacerbating activity patterns (e.g., "push-crash") reported on home web diaries; (b) daily hassles assessed in web diaries; and (c) negative life events reported in phone interviews.

Specific Aim 2: To assess the relation between improvement and prospectively assessed activity patterns and life events. Hypothesis 2: Improvement will be significantly associated with: (a) illness-moderating activity patterns (e.g., healthy pacing) reported on home web diaries; (b) daily uplifts assessed in web diaries; and (c) positive life events assessed in phone interviews.

Specific Aim 3: To assess the relation between activity patterns and symptoms. Hypothesis 3: (a) the "push-crash" pattern will predict greater actigraphy variability and symptom variability; (b) the "limiting activity" pattern will be associated with very low actigraphy counts and high symptom severity; and (c) a healthier "pacing" pattern will be associated with moderate variability of actigraphy and symptoms.

Our secondary aim hypothesizes that autonomic dysregulation (reduced heart rate variability [HRV]) will be characteristic of both non-improvers and patients with a limiting activity pattern as compared to improvers and those with a healthy pacing pattern. The long-range goal is to develop a new self-management protocol that more clearly identifies non-improvement activities and how they can be changed. An important aspect of this new self-management protocol would be to identify early signals of impending relapse, particularly HRV status, via home-use portable devices that could be utilized by patients and their doctors as a warning to modify non-improvement activities, e.g., excessive activity or exercise, to prevent behavioral collapse into inactivity.

Study Type

Observational

Enrollment (Anticipated)

150

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

16 years to 63 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with a diagnosed chronic fatigue syndrome

Description

Inclusion Criteria:

Fukuda-based ME/CFS symptoms including:

  • six months of unexplained, debilitating fatigue
  • 4/8 secondary symptoms impaired memory or concentration unrefreshing sleep sore throats headache muscle pain joint pain tender lymph nodes post-exertional malaise

Exclusion Criteria:

Medical: fatigue clearly attributable to self-report medical conditions.

Psychiatric any psychosis alcohol/ substance abuse within two years prior or after illness onset. depression with melancholic/psychotic features within 5 years of onset .

Two other exclusionary criteria:

  • patients not dose-stabilized for at least 3 months on antidepressants ;
  • patients at risk of suicide or need of urgent psychiatric treatment.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Chronic fatigue syndrome
Participants with chronic fatigue syndrome

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Global Impression of Change Rating
Time Frame: six months
Validated Self-report rating via interview
six months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Fred Friedberg, PhD, Stony Brook University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

June 1, 2016

Primary Completion (Anticipated)

December 1, 2019

Study Completion (Anticipated)

May 1, 2020

Study Registration Dates

First Submitted

October 26, 2016

First Submitted That Met QC Criteria

October 26, 2016

First Posted (Estimate)

October 28, 2016

Study Record Updates

Last Update Posted (Estimate)

November 3, 2016

Last Update Submitted That Met QC Criteria

November 1, 2016

Last Verified

November 1, 2016

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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