Can Risk Scores Help Predict if Chronic Pain Will Spread?
/By Pat Anson, PNN Editor
The term “biopsychosocial” is a bit of a dirty word in the pain community. Many patients feel that studying the biological, psychological and social factors involved in chronic pain trivializes their physical pain by linking it to anxiety, fatigue, trauma and other stressful life experiences – suggesting the pain is “all in your head.”
But researchers at McGill University in Montreal think biopsychosocial risk factors play a key role in determining the severity and spread of chronic pain to other parts of the body. And that could lead to better ways of treating and preventing pain.
"By identifying common biopsychosocial factors associated with chronic pain, health care professionals could better personalize treatment plans and improve patient outcomes," said co-author Etienne Vachon-Presseau, PhD, Assistant Professor in the Faculty of Dental Medicine and Oral Health Sciences at McGill University.
Using data from the UK Biobank, a large biomedical database in the United Kingdom, McGill researchers analyzed nine years of health data for nearly 50,000 people who reported a common pain condition such as osteoarthritis, migraine, fibromyalgia and spinal disc degeneration. By the end of the study period, nearly half of the participants (44%) reported their pain had spread to more than one body site.
Why did some people develop chronic overlapping pain conditions (COPCs), while others did not?
To find out, the research team dug deeper into the data, using machine learning algorithms to study 99 different physical, psychological, demographic and sociological factors about the participants, such as their education, mental health, substance use, and socioeconomic status.
The study findings, published in Nature Medicine, identified the biggest risk factors associated with COPC: depression/anxiety, insomnia, neuroticism (feeling fed-up), fatigue, stressful life events, and a body mass index (BMI) above 30.
“Our findings suggest that the biopsychosocial model not only shapes pain experience and maintenance, but also predisposes the development of new pain sites, a phenomenon we refer to as the ‘spreading’ of pain sites,” researchers reported. “Furthermore, we found that the pain site co-occurrence was not random, with a strong dependence between proximal pain sites, shown from either acute or chronic pain sites and from correlations between pain intensity ratings. Thus, biopsychosocial risk scores developed for headache will also moderately predict knee pain and vice versa.”
Based on those findings, the McGill team developed a pain risk score that utilizes six simple questions:
Risk of Pain Spreading Screen
Do you have difficulty falling asleep at night or do you wake up in the middle of the night?
Do you often feel ‘fed-up’?
Over the past 2 weeks, how often have you felt tired or had little energy?
Have you ever seen a GP or psychiatrist for nerves, anxiety, tension or depression?
In the last two years, have you experienced a serious illness, assault, death of a spouse/partner or close relative, separation/divorce, or financial difficulties?
Is your BMI over 30?
McGill researchers say their questionnaire will help providers quickly assess the risk of a pain patient developing more severe pain and how the pain might spread across their body.
“Our model predicted chronic pain spreading across multiple body sites in nearly 50,000 out-of-sample individuals,” researchers said. “We showed that high sensitivity and specificity could still be obtained for certain chronic pain conditions using only six questions. The ability to predict chronic pain, particularly COPCs and its severe forms, with minimal effort has the potential to benefit both research and clinical practice.”
