Persistent Post-Surgical Pain - A Model for the Study of Chronic Pain

Schedule

Start 2 November, 2019, 8 AM

End 4 30 PM

Location

1280 Main Street West

Hamilton

Ontario

Canada

The University Club of McMaster Alumni Memorial Hall - Building #8

Contact Info

Cheryl Bogie, CHSE Coordinator

Phone: 905-525-9140 ext. 22990

E-Mail: bogie@mcmaster.ca

Website



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Target Audience 

Clinical Researchers, Basic Scientists, Behavioural Scientists, Rehabilitation Scientists, Residents, Students and Other Healthcare Professionals.

Learning Objectives

By attending this activity, participants will be able to:

  • Identify implications, indications and interpretation of persistent post-surgical pain
  • Discuss the concept of and difficulties surrounding the study of persistent post-surgical pain
  • Review cutting edge evidence as it relates to persistent post-surgical pain and acquire knowledge in this area
Accreditation Statements

McMaster University, Continuing Health Sciences Education Program (CHSE) is fully accredited by the Committee on Accreditation of Continuing Medical Education (CACME) to provide CFPC Mainpro+ and RCPSC Maintenance of Certification (MOC) study credits for Continuing Medical Education.

This activity is an Accredited Group Learning Activity (Section 1) as defined by the Maintenance of Certification program of The Royal College of Physicians and Surgeons of Canada and approved by McMaster University, Continuing Health Sciences Education Program for up to 6.0 MOC Section 1 hours.

“Through an agreement between The Royal College of Physicians and Surgeons of Canada and The American Medical Association, physicians may convert Royal College MOC credits to AMA PRA Category 1 Credits™. Information on the process to convert Royal College MOC credit to AMA credit can be found at www.ama-assn.org/go/internationalcme

*Each healthcare provider should claim only those hours of credit that he/she actually spent in the educational activity.

Session Specific Learning Objectives:

 

Exploring Clinical Research Avenues Other than RCTs to Improve Pain Management: A Priority
By attending this activity, participants will be able to: 

  • Identify the limitations of Randomized Controlled Trials in the context of a personalized medicine approach.
  • Recognize how prospective patient registries integrated into the day-to-day clinical practice can be valuable research tools to study various aspects of chronic pain and its management.
  • Recognize the clinical usefulness of analytic methods focusing on intern individual variability. 


What’s New In Chronic Pain Pathophysiology
By attending this activity, participants will be able to: 

  • Utilize up-to-date information/data in an effort to promote patient-centered, interdisciplinary care that is compassionate, well informed, and individualized to every patient who is experiencing chronic pain.


Can Brain Imaging Be Used To Predict Chronic Pain Relief after Treatment?
By attending this activity, participants will be able to: 

  • Understand the concept of the dynamic pain connectome.
  • Understands how functional and structure MRI, and MEG can be used to examine brain connectivity.
  • Understand how individual variability in the dynamic pain connectome as identified using brain imaging and behavioural measures may predict treatment outcomes for chronic pain.


Mechanisms of Transition from Acute to Chronic Postsurgical Pain
By attending this activity, participants will be able to: 

  • Recognize early patterns of acute recovery that place youth at risk for chronic postsurgical pain (CPSP).
  • Understand pain processing phenotypes which place children at risk for development of chronic postsurgical pain
  • Discuss ongoing research examining mechanisms underlying the transition from acute to CPSP.


Predictors of Persistent Pain following Total Knee Arthroplasty: A Systematic Review and Meta-Analysis
By attending this activity, participants will be able to: 

  • Define the population that has been enrolled in studies exploring predictors of persistent pain after total knee replacement.
  • Describe the factors, and categories of factors, associated with development of persistent post-surgical pain (PPSP) after total knee arthroplasty TKA.
  • Recognize modifiable vs non-modifiable predictors for PPSP after TKA.
  • Describe the certainty of evidence for each pooled predictor associated with PPSP after TKA.


The Effect of Gonadectomy on Cannabidiol-Mediated Amelioration of Nociception in a Preclinical Model of Post-Surgical Neuropathic Pain
By attending this activity, participants will be able to: 

  • Identify the design of the project that was presented, focused on determining preclinical, whether sex hormones alter the efficacy of cannabinoids during treatment of neuropathic pain.


Managing Pediatric Post-Surgical Pain
By attending this activity, participants will be able to: 

  • Understand the impact of pediatric postsurgical pain.
  • Identify predictors of pediatric postsurgical pain.


Investigating the Effects of THC/CBD on ASD Risk Genes with Pain Comorbidities
By attending this activity, participants will be able to: 

  • Identify ASD-risk genes that have comorbid pain phenotypes in the clinic.
  • Recognize how CBD and THC derivatives will help to screen human isogenic lines.


In-process Monitoring Evaluation of SMArTVIEW: A Remote Automated Monitoring and Virtual Hospital-to-Home Recovery Support Program to Improve Surgical Outcomes in Patients Undergoing Major Cardiac and Vascular Surgery
By attending this activity, participants will be able to: 

  • Recognize and have an understanding of the SMArTVIEW intervention and SMArTVIEW nursing role.
  • Determine how postoperative pain is addressed and managed in the SMArTVIEW intervention.


Role of Cannabidiolic Acid – Methyl Ester (CBDA-ME) in Preclinical Model or Peripheral Neuropathy
By attending this activity, participants will be able to: 

  • Recognize the mechanism(s) of Cannabinoids in chronic pain.


Predictors of Outcomes Post Lumbar Spinal Stenosis Surgery
By attending this activity, participants will be able to: 

  • Identify predictors of postsurgical outcomes and recall a new mathematical model to address prognostic questions.