Use of Critical-Care Pain Observation Tool and Bispectral Index for Detection of Pain in Brain Injured Patients
NCT03368326 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 400
Last updated 2017-12-11
Summary
Brain injured patients are at high risk of pain due to the illness itself and a variety of nociceptive procedures in intensive care unit. Since the disorder of consciousness, speech, and movement, it is usually difficult for them to self-report the presence of pain reliably. The Critical-Care Pain observation Tool (CPOT) has been recommended for clinical use in the critically ill patients when self-report pain is unavailable. Besides, it seems that the bispectral index (BIS), a quantified electroencephalogram instrument, can be used for pain assessment along with the CPOT tool in some nonverbal critical ill patients (e.g., intubated and deep sedation). However, the validity and reliability of CPOT and BIS for pain assessment in brain injured patients are still uncertain so far. So the aim of this research is to investigate the value of CPOT and BIS for pain evaluation in this specific patient group.
Conditions
- Intensive Care
- Brain Injuries
Interventions
- DIAGNOSTIC_TEST
-
Critical-Care Pain Observation Tool (CPOT)
The CPOT includes 4 behaviors: (1) facial expression, (2) body movements, (3) compliance with the ventilator, and (4) muscle tension. Each behavior is rated from 0 to 2 for a possible total score ranging from 0 to 8.
Sponsors & Collaborators
-
Capital Medical University
lead OTHER
Principal Investigators
-
Jian-Xin Zhou, MD · Intensive care unit, Beijing Tiantan Hospital, Capital Medical University
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2015-06-09
- Primary Completion
- 2017-10-10
- Completion
- 2017-10-10
Countries
- China
Study Locations
More Related Trials
-
Nurse-led Pain Management in Adult ICU
NCT05488834 ·Status: COMPLETED ·Phase: NA
-
Pain Assessment in the Intensive Care Unit
NCT01628185 ·Status: COMPLETED
-
Incidence of Inadequate Pain Treatment in Ventilated Critically Ill Surgical Patients
NCT03641911 ·Status: COMPLETED
-
Parameters Analysis in Neurosurgical Critical Patients Through Big Data Acquisition
NCT03087981 ·Status: UNKNOWN
-
Critical Care Ultrasound Oriented Shock Treatment in ICU
NCT03093987 ·Status: COMPLETED ·Phase: NA
-
Fluid Responsiveness Tests in Critically Ill Patients During Admission to the Intensive Care Unit
NCT06729268 ·Status: COMPLETED
-
Fluid Responsiveness Predicted by PtcO2 in Critically Ill Patients
NCT02083757 ·Status: COMPLETED
-
Prevalence and Outcome of Hypermetabolism in Initial Prevalence and Outcome of Hypermetabolism in Initial Phase of Intensive Care Unit Patient: a Prospective Observational Study
NCT02002676 ·Status: UNKNOWN
-
The Early Prediction of Sepsis in ICU
NCT05088850 ·Status: UNKNOWN
-
Cerebral Oxygen Challenge of Passive Leg Raising Test in Sepsis
NCT03523169 ·Status: COMPLETED
-
The CCUS Based Characteristic of Hemodynamic and Lung Pathology in Early Stage of Shock in ICU: The Epidemic and Prognostic Value
NCT03082326 ·Status: COMPLETED
-
Neurocognitive Outcomes for ICU Patients With Acute Kidney Injury
NCT04722939 ·Status: RECRUITING
-
Constructing a Model of Pupillary Parameters in Predicting Delirium Among Critically Ill Patients in the Intensive Unit
NCT06187792 ·Status: RECRUITING
-
Intensive Care Unit Risk Score
NCT04661735 ·Status: RECRUITING
-
Pain Measurement and Pain Management in the Intensive Care Unit(ICU)
NCT00773045 ·Status: COMPLETED
-
Long-term Outcomes of Critical Illness Survivors
NCT03940755 ·Status: UNKNOWN
-
Impact of Comprehensive Rehabilitation Nursing Combined With Refined Airway Management and Nutritional Support on Prognosis and Care Delivery Models in Critically Ill Patients
NCT07025941 ·Status: COMPLETED ·Phase: NA
-
Clinical Empirical Research of ARDS
NCT05922826 ·Status: RECRUITING
-
Machine Learning-based Longitudinal Study of Post-ICU Syndrome Development Trajectory in Critically Ill Patients and Construction of Clinical Early Warning Models: a Research Protocol for Longitudinal Study
NCT06427265 ·Status: RECRUITING
-
The Impact of a Bundle of Preventive Measures for Post-intensive Care Syndrome on the Outcome of Critically Ill Patients
NCT03398707 ·Status: COMPLETED
-
Machine Learning Predictive Models for Sepsis Risk in ICU Patients With Intracerebral Hemorrhage
NCT06326385 ·Status: NOT_YET_RECRUITING
-
Quality Improvement Intervention to Promote Early Mobilization in Trauma ICU
NCT04203953 ·Status: COMPLETED
-
Current Situation and Analysis of ICU Management for Severe Trauma Patients in China
NCT04944537 ·Status: UNKNOWN
-
SOFA and APACHE II Scoring Systems for Predicting Outcome of Neurological Patients Admitted in a Tertiary Hospital Intensive Care Unit
NCT06111677 ·Status: COMPLETED
-
A New Approach in Intensive Care Unit Consciousness Assessment: FIVE Score
NCT06036732 ·Status: UNKNOWN