FindTrial
Sign In

Clinical study on risk factor analysis and prediction model construction of postoperative acute moderate to severe pain based on machine learning

Clinical study on risk factor analysis and prediction model construction of postoperative acute moderate to severe pain based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119355
Enrollment
Unknown
Registered
2026-02-26
Start date
2026-03-16
Completion date
Unknown
Last updated
2026-03-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Postoperative acute pain

Interventions

Observation group:none

Sponsors

Guangdong Second People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >=18 years old 2. Elective or emergency non-local anesthesia surgery (general anesthesia, spinal anesthesia, nerve block anesthesia or a combination thereof) 3. American Society of Anesthesiologists (ASA) classification I-III 4. Patient informed consent and signed informed consent form

Exclusion criteria

Exclusion criteria: 1. Surgery with only local infiltration anesthesia 2. Those who are directly transferred to the ICU after surgery and cannot conduct effective pain assessment within 24 hours 3. Have a history of severe communication impairment, cognitive dysfunction or mental illness 4. People who are addicted to opioids or analgesics for a long time 5. Pregnant or lactating women

Design outcomes

Primary

MeasureTime frame
NRS score;—

Countries

China

Contacts

Public ContactWang Yimin

Guangdong Second People's Hospital

vanmingo@163.com+86 137 1104 8179

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Mar 14, 2026