Clinical trial NCT02190682: Data Collection for Prediction of Postoperative Chronic Pain for a Software
Official title: Data Collection for Prediction of Postoperative Chronic Pain for Establishing a Software by Using Data Mining Technology
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Chronic Postoperative Pain
Keywords: postoperative
chronic
pain
software
Lead sponsor: Istanbul University
Sponsor class: OTHER
Collaborators: name: The Scientific and Technological Research Council of Turkey
First posted: 2014-07-15
Enrollment: 733
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: CASE_ONLY
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: all cases undergoing surgery

Brief 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.

Eligibility criteria: Inclusion Criteria:

* all cases operated in one month period

Exclusion Criteria:

* cases who cannot be followed for 2 months

Primary outcomes:
measure: Incidence of postoperative chronic pain
timeFrame: postoperative 3 months
Secondary outcomes:
measure: preparation of software for the prediction of postoperative chronic pain
timeFrame: 8 months
Other outcomes:
Locations:
city: Istanbul
country: Turkey
facility: Istanbul University Cerrahpasa Medical Faculty
city: Istanbul
country: Turkey
facility: Bezm-i Alem University
city: Istanbul
country: Turkey
facility: Istanbul Research and Training Hospital
city: Istanbul
country: Turkey
facility: Istanbul University Cardiology Institute
city: Istanbul
country: Turkey
facility: Istanbul University Informatics Department
city: Izmir
country: Turkey
facility: Tepecik Research and Training Hospital
Study officials:
affiliation: Istanbul University Cerrahpaşa Medical Faculty
name: Pervin Bozkurt Sutaş, Prof. Dr
role: STUDY_DIRECTOR
References:
citation: Sutaş Bozkurt, A. P., Özen, Z., Kartal, E., Emre, İ. E., Selçukcan Erol, Ç., Koçoğlu, F. Ö., Güngör, G., Güneyli, H. C., Başaranoğlu, G., Ünlüsoy, E. Ö., Uğur, H. Ö., Buluç Bulğen, S., Çolakoğlu, N., Sayılgan, C., Pekel, A. F., Pişmişoğlu, H., Salihoğlu, Z., Yüceyar, L., Karaca, S., … Bakan, N. (2018). Analysis of the incidence and predictive factors of chronic postoperative pain in adult population. The Journal of Tepecik Education and Research, 28(2), 89-94. https://doi.org/10.5222/terh.2018.089