NCT02190682

Data Collection for Prediction of Postoperative Chronic Pain for a Software

Data Collection for Prediction of Postoperative Chronic Pain for Establishing a Software by Using Data Mining Technology

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 733 (actual)
• Sponsor: Istanbul University · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

Summary

Postoperative Persistent Pain (PPP) is reported with a high incidence in adults 11.5-47%. This high incidence effects quality of life of patients causes social-economical problems and arises medico-legal issues. This study will be undertaken for producing a database by the evaluation of surgeries in 4 hospitals located in Istanbul. This database will be used in establishing a software by using data mining technology in the prediction of PPP

Detailed description

All cases operated in 4 different hospitals in one month period will be included Exclusion criteria: cases who could not be followed up to 2 months postoperatively by telephone call. A questionnaire will be filled preoperatively for each case after obtaining informed case . All cases will be anesthetized and pain therapy will be applied according to anesthesiologist's own practice and pain relief will be evaluated and noted. All patients will be telephoned postoperatively for the pain level at 15,30,45 and 60th day. All the information will be uploaded to computer and a software will be prepared for prediction of postoperative chronic pain.

Conditions

• Chronic Postoperative Pain

Timeline

• Start date: 2014-10-01
• Primary completion: 2018-04-01
• Completion: 2018-04-30
• First posted: 2014-07-15
• Last updated: 2020-01-27

Locations

6 sites across 1 country: Turkey (Türkiye)