Prediction of Chronic Pain in Cardiac Surgery: Evaluation by Algocartography Predict-ALGOCARTE (Predict-ALGOCA)

March 11, 2026 updated by: Hospices Civils de Lyon

Prediction of Chronic Pain in Cardiac Surgery: Evaluation by Algocartography

Sternotomy results in chronic postoperative pain in 30-55% of subjects. Few studies have been published on chronic pain in cardiac surgery, but there appears to be a relationship between the area of peri-scar hyperalgesia, which is indicative of postoperative hyperalgesia, and the occurrence of persistent pain 6 months after surgery. The aim of this study was therefore to assess whether the area of the postoperative hyperalgesia zone predicts chronic pain at 3 months post-surgery in cardiac surgery. To define the area of hyperalgesia at Day 2, pain mapping (algocartography) will be performed in patients who have had a sternotomy in cardiac surgery, together with pain assessment using the Simple Digital Pain Scale. Von Frey filaments of different sizes will be used for mapping. At Day 90, additional quality-of-life questionnaires will be carried out to check whether chronic pain is still present. A simple numerical scale (ENS) assessment at rest and during activity, and a record of pain-relieving treatments related to the surgery will also be carried out during this call.

The investigators hypothesize that the area of the zone of hyperalgesia assessed at Day 2 predicts the occurrence of chronic pain at 3 months.

Study Overview

Study Type

Observational

Enrollment (Actual)

84

Contacts and Locations

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

Study Locations

    • France
      • Bron, France, France, 69677
        • Service Anesthésie réanimation Hôpital Louis Pradel, Groupement Hospitalier Est Adresse 28 av. de Doyen Lépine 69677 BRON Cedex

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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

This study focuses on adult patients undergoing scheduled cardiac surgery via sternotomy.

84 patients required for the study Only patients operated at Hopital Louis Pradel will be included

Description

Inclusion Criteria:

  • Scheduled surgery
  • Conventional cardiac surgery by sternotomy: valve repair or replacement, coronary, thoracic aortic or combined surgery
  • Age over 18
  • No opposition from patient
  • Patient affiliated to a social security

Exclusion Criteria:

  • Emergency surgery
  • Patient refusal
  • Redux surgery
  • Patients under guardianship
  • History of drug addiction
  • Preoperative opioid treatment
  • Morbid obesity (body mass index >30kg/m2)
  • Pregnant or breast-feeding women
  • Patients taking part in another clinical study likely to interfere with the results of the present study.

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Adult patients undergoing scheduled sternotomy cardiac surgery
Cohort, cardiac surgery patients who develop chronic pain Chronic post-surgical pain is defined as pain localized to the surgical site, with no other attributable cause, that persists for more than three months after surgery and has an impact on quality of life.
sleep quality assessment using the PROMIS (Patient-Reported Outcomes Measurement Information System) item Bank score
assessment of emotional state using the Neuropathic Pain Symptom Inventory score (NPSI)
To assess whether pain measured by a Numercial rating scale (NRS) predicts chronic postoperative pain.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Evaluate whether the area of postoperative hyperalgesia predicts chronic pain at 3 months postoperatively in cardiac surgery.
Time Frame: 2 days after surgery
To define the zone of hyperalgesia on Day 2, pain mapping will be carried out in patients who had a sternotomy in cardiac surgery. To this end, Von Frey filaments of different calibers will be used. Depending on the filament used and the discomfort or pain felt in different areas, we can construct a pain intensity map (or algocartography). To define chronic pain, we will use the NRS (Numerical Rating Scale) to measure pain. The gold standard is the occurrence of chronic postoperative pain defined by NRS > 3
2 days after surgery
Evaluate whether the area of postoperative hyperalgesia predicts chronic pain at 3 months postoperatively in cardiac surgery
Time Frame: 90 days after surgery
To define the zone of hyperalgesia on Day 2, pain mapping will be carried out in patients who had a sternotomy in cardiac surgery. To this end, Von Frey filaments of different calibers will be used. Depending on the filament used and the discomfort or pain felt in different areas, we can construct a pain intensity map (or algocartography). To define chronic pain, we will use the NRS (Numerical Rating Scale) to measure pain. The gold standard is the occurrence of chronic postoperative pain defined by NRS > 3
90 days after surgery

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Assess whether pain measured by a NRS predicts chronic postoperative pain.
Time Frame: 48 first hours after surgery
AUC of the ability of pain intensity assessment by NRS in the immediate postoperative period (first 48 hours) to predict the occurrence of chronic postoperative pain, and correlation test.
48 first hours after surgery
assess whether total morphine consumption at 3 days predicts chronic postoperative pain
Time Frame: 48 hours after surgery
AUC ROC of the capacity of cumulative morphine consumption at day 3 to predict the onset of chronic postoperative pain, and correlation test
48 hours after surgery
Evaluate the relationship between the area of the zone of hyperalgesia by mapping the second day and postoperative morphine consumption 3 days after surgery
Time Frame: During 48 first hours after surgery
AUC ROC of the area of hyperalgesia at day 2 (area of hyperalgesia) to predict postoperative morphine consumption and correlation test
During 48 first hours after surgery
Evaluate the area of the hyperalgesia zone by mapping 2 days after surgery to predict the use of analgesics at 3 months postoperatively
Time Frame: 2 days after surgery
AUC ROC of hyperalgesia area capacity at day 2 (hyperalgesia area surface), to predict analgesic consumption at 3 months and correlation test.
2 days after surgery
assess the relationship between the area of hyperalgesia by mapping 2 days after surgery and sleep quality at 3 months postoperatively.
Time Frame: 2 days after surgey
AUC ROC of hyperalgesia area capacity at day (hyperalgesia area surface), to predict sleep quality (PROMIS item BANK scale)
2 days after surgey
assess the relationship between the area of hyperalgesia by mapping 2 days after surgery and sleep quality at 3 months postoperatively.
Time Frame: 90 days after surgey
AUC ROC of hyperalgesia area capacity at day (hyperalgesia area surface), to predict sleep quality (PROMIS item BANK scale)
90 days after surgey
Evaluate the area of the zone of hyperalgesia by mapping 2days after surgery to predict neuropathic pain at 3 months postoperatively
Time Frame: 2 days after surgey
AUC ROC of hyperalgesia area capacity at day 2 (areas of high pain intensity and hyperalgesia area surface), to predict neuropathic pain (NPSI: neuropathic pain symptom inventory) and correlation test.
2 days after surgey
Evaluate the area of the zone of hyperalgesia by mapping 2days after surgery to predict neuropathic pain at 3 months postoperatively
Time Frame: 90 days after
AUC ROC of hyperalgesia area capacity at day 2 (areas of high pain intensity and hyperalgesia area surface), to predict neuropathic pain (NPSI: neuropathic pain symptom inventory) and correlation test
90 days after
Assessing whether preoperative anxiety predicts chronic postoperative pain
Time Frame: 1 to 2 days before surgey
AUC ROC of the ability of preoperative anxiety to predict the occurrence of chronic postoperative pain, and correlation test.
1 to 2 days before surgey

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Judit JORDANA BOFILL, PI-nurse, Service d'Anesthésie Réanimation Hôpital Louis Pradel, Groupement Hospitalier Est 28 av. du Doyen Lépine

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 (Actual)

November 27, 2024

Primary Completion (Actual)

February 27, 2026

Study Completion (Actual)

February 27, 2026

Study Registration Dates

First Submitted

November 6, 2024

First Submitted That Met QC Criteria

November 7, 2024

First Posted (Actual)

November 8, 2024

Study Record Updates

Last Update Posted (Actual)

March 12, 2026

Last Update Submitted That Met QC Criteria

March 11, 2026

Last Verified

March 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

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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