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Not yet recruiting NCT07648342

Evaluation of Pupillometry as a Predictor of Pain Intensity Upon Withdrawal of Sedation in the Postoperative Period Following Cardiac Surgery: A Prospective Cohort Study

Observational Patient Scheduled for Surgery

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Pupilometry, VAS.
Who it may be relevant to
Registry conditions: Patient Scheduled for Surgery. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
France
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Overview

Postoperative pain is a significant issue following surgery, and pain that is either inadequately treated or, conversely, overtreated can increase morbidity. For example, severe chest pain following cardiac or pulmonary surgery impairs the patient's respiratory rehabilitation, which can lead to fluid retention and, consequently, pneumonia. Conversely, overtreatment through excessive use of opioids can cause drowsiness and respiratory depression. Currently, planning postoperative pain management for intubated, ventilated, and sedated patients relies on indirect signs of pain assessed using scales, and on the clinician's subjective judgment. It is only after sedation is discontinued that the actual level of pain can be assessed, once the patient becomes communicative, which then allows analgesic treatment to be adjusted to the pain. This approach inevitably results in a period of discomfort and pain for the patient. In addition to semi-quantitative and subjective scales, a number of analgesia monitoring tools have been developed. Among these, the use of pupillometry and the Pupillary Pain Index (PPI) during surgeries (gynecological, pediatric, cardiac) has been associated with a reduction in intraoperative opioid doses and a decrease in postoperative pain. In our department, pupillometry is routinely used to assess analgesia in intubated, ventilated, and sedated patients undergoing painful procedures. This method is integrated into standard care in the operating room in accordance with the PUCCAR study algorithm, as well as in the intensive care unit according to a specific departmental protocol, in addition to standard assessment scores. We hypothesize that performing pupillometry with a PPI score is predictive of pain intensity at extubation. If our hypothesis is confirmed, this would allow us to tailor analgesic management for each patient prior to discontinuing sedation.

Interventions

  • Other Pupilometry
    Conducting pupillometry with a PPI score upon discontinuation of sedation in the intensive care unit
  • Other VAS
    Measurement of pain intensity using the visual analog scale (VAS ou EVA)

Primary outcome measures

  • Pain assessment using a visual analog scale [Time frame: Immediately after surgery]

Eligibility criteria

Inclusion criteria

  • A person who has given verbal consent
  • An adult patient
  • A patient scheduled for heart surgery

Exclusion criteria

  • A person who is not enrolled in or eligible for a social security program
  • A person subject to a legal protective measure (guardianship, conservatorship)
  • Person subject to a judicial safeguard measure
  • Pregnant, laboring, or breastfeeding woman
  • Adult who is legally incapacitated or unable to give consent
  • Minor
  • Patient with preoperative cognitive impairment (MMS)

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Study design

Observational model
Cohort

Study locations

France · 1 center
  • Chu Dijon Bourogne — Dijon

Identifiers

NCT: NCT07648342 · BERTHOUD 2026

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗