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Pain assessment in intensive care patients is a constant challenge. Approximately 50% to 80% of patients report pain at rest or during medical or nursing interventions (for example endotracheal suctioning, mobilization and rehabilitation, presence and care of invasive inputs, etc.). Obstacles to pain assessment and management are most often due to interference with communication due to impaired consciousness, airway support and connection to artificial pulmonary ventilation, or the effect of administered medication.
Patients in intensive care are prone to delirium. Delirium can compromise patients' ability to verbalise pain for a variety of reasons (e.g. due to impaired attention, memory, thinking and language barriers). Also, pain and inadequate analgesia are risk factors for delirium.
Pupillary reflex changes and their identification by automated pupillometry have yielded positive results regarding nociception assessment in adult and pediatric patients and in perioperative and postoperative care. At the same time, the response of these patients to opioid administration was investigated. The aim was to improve their analgesia.
The aim of this study is to find out whether, there is an association between automated pupillometry and selected objective pain measurement scales in The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) positive patients after surgery.
Periodically after 6 hours, the incidence of delirium will be assessed using the CAM ICU questionnaire. Subsequently, the incidence of pain will be assessed using 3 valid scales. The Visual Analogue Scale (VAS), the Behavioral Pain Scale (BPS) and the Critical Care Observational Tool (CPOT) will be used. Finally, automated pupillometry will be measured. The measurement values will be entered in the record sheet. Information about the medications administered and the patient's vital signs will also be recorded.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| surgical ICU patients | All surgical patients on the inpatient ward in the Department of Anesthesiology and Intensive Care |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| automated pupillometry | Device | Automated pupillometry every 6 hours |
| |
| Measure | Description | Time Frame |
|---|---|---|
| pupillometry parameters and objective pain scales | correlation of pupillometry parameters and objective pain scales | up to 4 weeks |
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Inclusion Criteria:
Exclusion Criteria:
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surgical patinets admited to the ICU
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| Name | Affiliation | Role |
|---|---|---|
| Patrik Mica, MSc | St. Anne's University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| St. Anne's University Hospital in Brno | Brno | Czech Republic | 60200 | Czechia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34504855 | Background | Alvarez EA, Parada FJ. Association of Pain During the Evaluation of Delirium in Intensive Care Unit Patients. Front Med (Lausanne). 2021 Aug 24;8:722001. doi: 10.3389/fmed.2021.722001. eCollection 2021. No abstract available. | |
| 30538536 | Background | Azevedo-Santos IF, DeSantana JM. Pain measurement techniques: spotlight on mechanically ventilated patients. J Pain Res. 2018 Nov 21;11:2969-2980. doi: 10.2147/JPR.S151169. eCollection 2018. |
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| ID | Term |
|---|---|
| D003693 | Delirium |
| D010149 | Pain, Postoperative |
| D010146 | Pain |
| ID | Term |
|---|---|
| D003221 | Confusion |
| D019954 | Neurobehavioral Manifestations |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
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| ID | Term |
|---|---|
| D010147 | Pain Measurement |
| ID | Term |
|---|---|
| D009460 | Neurologic Examination |
| D010808 | Physical Examination |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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| questionnaire |
| Diagnostic Test |
CAM ICU questionnaire will be used for delirium screening the incidence of pain will be assessed using 3 valid scales. The Visual Analogue Scale (VAS), the Behavioral Pain Scale (BPS) and the Critical Care Observational Tool (CPOT) will be used. questionnaires will be done the same time as pupillometry |
|
| 31195076 | Background | Fischer T, Hosie A, Luckett T, Agar M, Phillips J. Strategies for Pain Assessment in Adult Patients With Delirium: A Scoping Review. J Pain Symptom Manage. 2019 Sep;58(3):487-502.e11. doi: 10.1016/j.jpainsymman.2019.05.020. Epub 2019 Jun 10. |
| 27162683 | Background | Rijkenberg S, van der Voort PH. Can the critical-care pain observation tool (CPOT) be used to assess pain in delirious ICU patients? J Thorac Dis. 2016 May;8(5):E285-7. doi: 10.21037/jtd.2016.03.32. No abstract available. |
| 32093710 | Background | Favre E, Bernini A, Morelli P, Pasquier J, Miroz JP, Abed-Maillard S, Ben-Hamouda N, Oddo M. Neuromonitoring of delirium with quantitative pupillometry in sedated mechanically ventilated critically ill patients. Crit Care. 2020 Feb 24;24(1):66. doi: 10.1186/s13054-020-2796-8. |
| 34730216 | Background | Tosi F, Gatto A, Capossela L, Ferretti S, Mancino A, Curatola A, Chiaretti A, Pulitano S. Role of the pupillometer in the assessment of pain in the sedation of pediatric patients. Eur Rev Med Pharmacol Sci. 2021 Oct;25(20):6349-6355. doi: 10.26355/eurrev_202110_27008. |
| 25993266 | Background | Lukaszewicz AC, Dereu D, Gayat E, Payen D. The relevance of pupillometry for evaluation of analgesia before noxious procedures in the intensive care unit. Anesth Analg. 2015 Jun;120(6):1297-300. doi: 10.1213/ANE.0000000000000609. |
| 42328550 | Derived | Mica P, Lukes M, Pokorna A, Hruda J, Olson L, Svoboda M, Cundrle I. Automated pupillometry for detection of delirium in surgical intensive care patients. Front Med (Lausanne). 2026 Jun 4;13:1822468. doi: 10.3389/fmed.2026.1822468. eCollection 2026. |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D011183 | Postoperative Complications |
| D010335 | Pathologic Processes |