Development and Validation of a Clinical Prediction Rule to Identify Preoperatively Patients With Acute Refractory Pain After Lumbar Spine Surgery
Ilse H. van de Wijgert, Kris C. P. Vissers, Martijn W. Heymans, Akkie Rood, Moniek de Goeij, Regina L. M. van Boekel, Miranda L. van Hooff · 2026
Read Development and Validation of a Clinical Prediction Rule to Identify Preoperatively Patients With Acute Refractory Pain After Lumbar Spine Surgery by Ilse H. van de Wijgert, Kris C. P. Vissers, Martijn W. Heymans, Akkie Rood, Moniek de Goeij, Regina L. M. van Boekel, Miranda L. van Hooff (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13669519.txt.
Description
Some back-surgery patients suffer severe pain right after the operation that standard painkillers barely touch. Ilse van de Wijgert and co-authors built a rule to flag such patients before surgery. They mined records of 1,156 lumbar surgery patients at a specialist Dutch hospital, testing 105 candidate factors, from pain history to anxiety and work attitudes. About one in five patients developed the stubborn pain pattern.
A sifting method kept thirteen factors, and a leaner model kept five. The fuller model's discrimination was modest, correctly ranking patients about sixty-nine percent of the time. The profile it produces can still help anaesthetists plan stronger cover for high-risk patients. The authors present the rule as a first step toward prevention rather than a finished tool.
Catalog record
| CREATOR | Ilse H. van de Wijgert, Kris C. P. Vissers, Martijn W. Heymans, Akkie Rood, Moniek de Goeij, Regina L. M. van Boekel, Miranda L. van Hooff |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |