The development of a prediction model for acute pain transitioning into pain persisting for more than 3 months after a visit to the emergency department
- Conditions
- <p>Chronic pain Acute pain Emergency deparment Prediction model Factors of influence Predictors Netherlands Acute pijn Chronische pijn Spoedeisende Hulp Predictie model Voorspellend model Factoren van invloed Predictoren Nederland</p>10017322
- Registration Number
- NL-OMON22146
- Lead Sponsor
- Stichting Coolsingel Research fund
- Brief Summary
We included 1906 patients, of whom 825 participants completed 90 days of follow-up. Approximately 34.1% left the ED with an (V)NRS score =7, and 67.8% reported an (V)NRS score of =1 90 at days. Of all patients leaving the ED with an (V)NRS score =7, 76.5% developed chronic pain vs 63.2% of patients with (V)NRS score ,=7 (P , 0.01). After correction, this difference was borderline statistically significant with an odds ratio of 1.45 (95% confidence interval: 0.99–2.13, P 5 0.054). Various sensitivity analyses using a different (V)NRS at discharge and different definitions of chronic pain at 90 days showed a significant difference in the chronification of pain. Conclusion: This study suggests that pain intensity at discharge from the ED, regardless of the localization or cause of pain, increased the risk of developing chronic pain. By distinguishing patients at risk and providing an effective treatment, chronic pain and the associated burden of disease might be preventable. "
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- Not specified
- Target Recruitment
- 1906
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* Volwassenen; Patiënten > 17 jaar, |
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* Cognitieve beperkingen, analfabetisme en taalbarriére (niet kunnen begrijpen en of invullen van vragenlijsten die nodig zijn voor het participeren in de studie) |
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Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <br><tr><br><td>The primary objective is to develop and internally validate a prediction model for the transition to chronic pain (ongoing pain after 90 days) in patients with acute pain based on pre-defined predictors and patient characteristics.</td><br></tr><br><br>
- Secondary Outcome Measures
Name Time Method <br><tr><br><td>To determine the cumulative incidence of chronic pain in all patients visiting the emergency department with acute pain.</td><br></tr><br>><br>