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TUESDAY, Sept. 15, 2020 (HealthDay News) — A score based on seven variables can accurately predict the probability of poorly controlled pain after elective spine surgery, according to a study published online Sept. 15 in the Journal of Neurosurgery: Spine<\/i>.<\/p>\n
Michael M.H. Yang, M.D., from the University of Calgary in Alberta, Canada, and colleagues conducted a retrospective study in adults undergoing elective cervical or thoracolumbar spine surgery. A prediction model was developed based on 25 candidate variables. The model was transformed into an eight-tier risk-based score, which was simplified into a three-tier Calgary Postoperative Pain After Spine Surgery (CAPPS) score.<\/p>\n
The researchers found that in the first 24 hours after surgery, 57 percent of 1,300 spine surgery patients experienced poorly controlled pain. The prediction model incorporated seven significant variables: younger age, female sex, preoperative daily use of opioid medication, higher preoperative neck or back pain intensity, higher Patient Health Questionnaire-9 depression score, surgery involving \u22653 motion segments, and fusion surgery. The model had good discrimination (C-statistic, 0.74) and calibration (Hosmer-Lemeshow goodness-of-fit) for predicting outcome. The probability of experiencing poorly controlled pain was 32, 63, and 85 percent, respectively, in low-, high-, and extreme-risk groups stratified using the CAPPS score; these results were mirrored by observed incidence rates of 37, 62, and 81 percent, respectively, in the validation cohort.<\/p>\n
“This score can be used to facilitate preoperative patient education and the development of personalized clinical care pathways to improve postoperative acute pain outcomes,” the authors write.<\/p>\n
Two authors disclosed financial ties to the medical device industry.<\/p>\n
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