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Validation of a Psychological Screening Algorithm for Predicting Spine Surgery Outcomes.
Ryan J Marek1, Andrew R Block2, Yossef S Ben-Porath1
11 Kent State University, Kent, OH, USA.
Presurgical psychological screening (PPS) effectively predicts spine surgery outcomes. Patients with an excellent prognosis showed the best results, while those with a fair to very poor prognosis had the worst outcomes.
Area of Science:
- Neurosurgery
- Psychology
- Orthopedics
Background:
- Psychological factors significantly influence spine surgery outcomes.
- Presurgical psychological screening (PPS) is crucial for assessing patient suitability.
- Existing screening methods aim to predict surgical success based on psychosocial risk factors.
Purpose of the Study:
- To evaluate a widely utilized presurgical psychological screening (PPS) algorithm.
- To determine the algorithm's effectiveness in predicting spine surgery results.
- To analyze the association between PPS components and surgical outcomes.
Main Methods:
- A cohort of 603 patients underwent PPS, including interviews, psychometric testing, and medical record review.
- A PPS algorithm categorized patients into five prognosis levels (Excellent to Poor).
- Categories were grouped into Excellent, Good, and Fair to Very Poor for analysis.
Main Results:
- Patients with an Excellent prognosis achieved superior surgical outcomes.
- Patients in the Fair to Very Poor prognosis group experienced the worst outcomes.
- Specific PPS algorithm components showed a modest association with reduced surgical results.
Conclusions:
- The PPS algorithm is a valuable tool for predicting spine surgery outcomes.
- Presurgical psychological assessment can identify patients likely to benefit most or least from surgery.
- Findings have implications for refining presurgical assessments in spine surgery candidates.
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