Construction of Perioperative Medical Data Platform and Its Typical Practice to Predict Postoperative Acute Moderate to Severe Pain With Machine Learning Models

NCT05569460 | Unknown

• 1 other identifier: Guangdong2nd
• Study Type: observational
• Target: 6,500
• Locations: 1 country
• Sites: 1

Brief Summary

Data intelligence platform was widely used to facilitate the process of clinical research. However, a platform that integrates natural language processing (NLP) and machine learning (ML) algorithms has not been reported in perioperative medical management.

Conditions

Anesthesia; Acute Pain; Risk Reduction

Keywords

Data Platform; Machine Learning; Postoperative Acute Pain

Outcome Measures

Primary Outcomes (1)

• Area under the curve

  It measures the prediction effect of the algorithm model

  April 2020 to May 2021

Study Arms (2)

Numeric Rating Scale (NRS) score after surgery <4

Other: No intervention

Numeric Rating Scale (NRS) score after surgery ≥ 4

Other: No intervention

Interventions

No intervention OTHER

No intervention

Numeric Rating Scale (NRS) score after surgery <4; Numeric Rating Scale (NRS) score after surgery ≥ 4

Eligibility Criteria

• Age: 18 Years - 80 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Pain assessment was used by Numeric Rating Scale (NRS) score after surgery.

You may qualify if:

• Patients were included if they were above 18 years old, undergoing non-local anesthesia surgery.

You may not qualify if:

• The basic information such gender, age, height, weight, and body mass index (BMI) were missing.
• Patients undergoing day surgery, with a history of multiple operations, or entering ICU after surgery, and losing the NRS score during movement at 24h after surgery.

Sponsors & Collaborators

• Guangdong Second Provincial General Hospital: lead

Study Sites (1)

Guangdong Second Provincial General Hospital

Guangzhou, China

RECRUITING

MeSH Terms

Conditions

Acute Pain; Risk Reduction Behavior; Pain, Postoperative

Condition Hierarchy (Ancestors)

Pain; Neurologic Manifestations; Signs and Symptoms; Pathological Conditions, Signs and Symptoms; Behavior; Postoperative Complications; Pathologic Processes

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: associate chief physician

Study Record Dates

• First Submitted: October 3, 2022
• First Posted: October 6, 2022
• Study Start: October 1, 2022
• Primary Completion: October 1, 2023
• Study Completion: December 1, 2023
• Last Updated: October 6, 2022

Record last verified: 2022-10

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)