Predicting poor postoperative acute pain outcome in adults: an international, multicentre database analysis of risk factors in 50, 005 patients. (27th July 2020)
- Record Type:
- Journal Article
- Title:
- Predicting poor postoperative acute pain outcome in adults: an international, multicentre database analysis of risk factors in 50, 005 patients. (27th July 2020)
- Main Title:
- Predicting poor postoperative acute pain outcome in adults: an international, multicentre database analysis of risk factors in 50, 005 patients
- Authors:
- Schnabel, Alexander
Yahiaoui-Doktor, Maryam
Meissner, Winfried
Zahn, Peter Konrad
Pogatzki-Zahn, Esther Miriam - Abstract:
- Abstract : Supplemental Digital Content is Available in the Text. Eight risk factors were identified in a large international database. Patients with 3 or more risk factors are at higher risk for poor pain outcome. Abstract: Background: The aim of this study was to determine simple risk factors for severe pain intensity (≥7 points on a numeric rating scale [NRS]), to analyse their relation to other patient-reported outcome measures and to develop a simple prediction model. Methods: We used data from 50, 005 patients from the PAIN-OUT project. Within a first data set (n = 33, 667), relevant risk factors were identified by logistic binary regression analysis, assessed for additional patient-reported outcome measures beyond pain intensity and summed up for developing a simple risk score. Finally, sum of factors was plotted against postoperative pain outcomes within a validation data set (n = 16, 338). Results: Odds ratios (OR) for the following risk factors were identified: younger age (<54 years, OR: 1.277), preoperative chronic pain at the site of surgery (OR: 1.195), female sex (OR: 1.433), duration of surgery (>90 minutes, OR: 1.308), preoperative opioid intake (OR: 1.250), feeling anxious (OR: 1.239) and feeling helpless due to pain (OR: 1.198), and the country of the recruiting centre (OR: 1.919). Patients with ≥3 risk factors had more severe pain intensity scores, spent a longer time in severe pain, and wished to have received more pain treatment ( P < 0.001). A simpleAbstract : Supplemental Digital Content is Available in the Text. Eight risk factors were identified in a large international database. Patients with 3 or more risk factors are at higher risk for poor pain outcome. Abstract: Background: The aim of this study was to determine simple risk factors for severe pain intensity (≥7 points on a numeric rating scale [NRS]), to analyse their relation to other patient-reported outcome measures and to develop a simple prediction model. Methods: We used data from 50, 005 patients from the PAIN-OUT project. Within a first data set (n = 33, 667), relevant risk factors were identified by logistic binary regression analysis, assessed for additional patient-reported outcome measures beyond pain intensity and summed up for developing a simple risk score. Finally, sum of factors was plotted against postoperative pain outcomes within a validation data set (n = 16, 338). Results: Odds ratios (OR) for the following risk factors were identified: younger age (<54 years, OR: 1.277), preoperative chronic pain at the site of surgery (OR: 1.195), female sex (OR: 1.433), duration of surgery (>90 minutes, OR: 1.308), preoperative opioid intake (OR: 1.250), feeling anxious (OR: 1.239) and feeling helpless due to pain (OR: 1.198), and the country of the recruiting centre (OR: 1.919). Patients with ≥3 risk factors had more severe pain intensity scores, spent a longer time in severe pain, and wished to have received more pain treatment ( P < 0.001). A simple risk score was created with 4 risk factors showing a moderate prediction level. Conclusions: Patients with ≥3 risk factors are at higher risk for poor postoperative acute pain outcome after surgery. Future studies using this score might show that preventive strategies might decrease pain intensity, pain-related postoperative dysfunction, and the development of chronic pain. … (more)
- Is Part Of:
- Pain reports. Volume 5:Number 4(2020)
- Journal:
- Pain reports
- Issue:
- Volume 5:Number 4(2020)
- Issue Display:
- Volume 5, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 5
- Issue:
- 4
- Issue Sort Value:
- 2020-0005-0004-0000
- Page Start:
- e831
- Page End:
- Publication Date:
- 2020-07-27
- Subjects:
- Risk factors -- Postoperative pain -- Risk prediction -- Database analysis -- Chronification of pain
- Journal URLs:
- http://journals.lww.com/pages/default.aspx ↗
- DOI:
- 10.1097/PR9.0000000000000831 ↗
- Languages:
- English
- ISSNs:
- 2471-2531
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24841.xml