TY - JOUR
T1 - Scoliosis Research Society-22r and Ceiling Effects
T2 - Limited Capabilities for Precision Medicine with Adolescent Idiopathic Scoliosis
AU - Harms Study Group
AU - Stone, Lauren E.
AU - Ames, Christopher P.
AU - Pellise, Ferran
AU - Newton, Peter O.
AU - Upasani, Vidyadhar V.
AU - Kelly, Michael P.
AU - Buckland, Aaron
AU - Samdani, Amer
AU - Jain, Amit
AU - Lonner, Baron
AU - Roye, Benjamin
AU - Yaszay, Burt
AU - Reilly, Chris
AU - Hedequist, Daniel
AU - Sucato, Daniel
AU - Clements, David
AU - Miyanji, Firoz
AU - Shufflebarger, Harry
AU - Flynn, Jack
AU - Asghar, John
AU - Mac Thiong, Jean Marc
AU - Pahys, Joshua
AU - Harms, Juergen
AU - Bachmann, Keith
AU - Lenke, Lawrence
AU - Karol, Lori
AU - Abel, Mark
AU - Erickson, Mark
AU - Glotzbecker, Michael
AU - Kelly, Michael
AU - Vitale, Michael
AU - Marks, Michelle
AU - Gupta, Munish
AU - Fletcher, Nicholas
AU - Larson, Noelle
AU - Cahill, Patrick
AU - Sponseller, Paul
AU - Gabos, Peter
AU - Newton, Peter
AU - Sturm, Peter
AU - Betz, Randal
AU - Parent, Stefan
AU - George, Stephen
AU - Hwang, Steven
AU - Shah, Suken
AU - Garg, Sumeet
AU - Errico, Tom
AU - Upasani, Vidyadhar
N1 - Publisher Copyright:
© 2024 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - Study Design. Retrospective registry analysis. Objective. To examine predictions of individual Scoliosis Research Society-22r (SRS-22r) questions one year after surgery for adolescent idiopathic scoliosis (AIS). Summary of Background Data. A precision-medicine approach to AIS surgery will inform patients of the likelihood of achieving particular results from surgery, specifically individual responses to the SRS-22r questionnaire. Methods. A multicenter AIS registry was queried for surgical AIS patients treated between 2002 and 2020. Preoperative data collected included standard demographic data, deformity descriptive data, and SRS-22r scores. Postoperative one-year SRS-22r scores were modeled using ordinal logistic regression. The highest probability was the most likely response. Model performance was examined by c-statistics, where c>0.8 was considered excellent. Ceiling effects were measured by the proportion of patients reporting "5"to each question. Results. A total of 3251 patients contributed data to the study; mean age 14.4 (±2.2) years, female 2631 (81%), major thoracic coronal curve 53°, mean lumbar 41°. C-statistic values ranged from 0.6 (poor) to 0.8 (excellent), evidence of varied predictive capabilities. Q17 ("days off work/school,"c = 0.84, ceiling achieved 75%) and Q15 ("financial difficulties,"c = 0.86, ceiling achieved 82%) had the greatest predictive capabilities while Q11 ("pain medication,"c=0.73, ceiling achieved 67%), Q10 ("appearance,"c=0.72, ceiling achieved 35%), and Q19 ("attractive,"c=0.69, ceiling achieved 37%) performed poorly. Conclusions. Prediction of individual SRS-22r item responses, perhaps most germane to AIS treatment, was poor. The prediction of less relevant outcomes, where ceiling effects are present, was greater as the models chose "5"for all responses. These ceiling effects may limit discrimination and hamper efforts at personalized outcome predictions.
AB - Study Design. Retrospective registry analysis. Objective. To examine predictions of individual Scoliosis Research Society-22r (SRS-22r) questions one year after surgery for adolescent idiopathic scoliosis (AIS). Summary of Background Data. A precision-medicine approach to AIS surgery will inform patients of the likelihood of achieving particular results from surgery, specifically individual responses to the SRS-22r questionnaire. Methods. A multicenter AIS registry was queried for surgical AIS patients treated between 2002 and 2020. Preoperative data collected included standard demographic data, deformity descriptive data, and SRS-22r scores. Postoperative one-year SRS-22r scores were modeled using ordinal logistic regression. The highest probability was the most likely response. Model performance was examined by c-statistics, where c>0.8 was considered excellent. Ceiling effects were measured by the proportion of patients reporting "5"to each question. Results. A total of 3251 patients contributed data to the study; mean age 14.4 (±2.2) years, female 2631 (81%), major thoracic coronal curve 53°, mean lumbar 41°. C-statistic values ranged from 0.6 (poor) to 0.8 (excellent), evidence of varied predictive capabilities. Q17 ("days off work/school,"c = 0.84, ceiling achieved 75%) and Q15 ("financial difficulties,"c = 0.86, ceiling achieved 82%) had the greatest predictive capabilities while Q11 ("pain medication,"c=0.73, ceiling achieved 67%), Q10 ("appearance,"c=0.72, ceiling achieved 35%), and Q19 ("attractive,"c=0.69, ceiling achieved 37%) performed poorly. Conclusions. Prediction of individual SRS-22r item responses, perhaps most germane to AIS treatment, was poor. The prediction of less relevant outcomes, where ceiling effects are present, was greater as the models chose "5"for all responses. These ceiling effects may limit discrimination and hamper efforts at personalized outcome predictions.
KW - adolescent idiopathic scoliosis
KW - precision medicine
KW - self-image
KW - SRS-22r
UR - https://www.scopus.com/pages/publications/85203019252
UR - https://www.scopus.com/pages/publications/85203019252#tab=citedBy
U2 - 10.1097/BRS.0000000000004993
DO - 10.1097/BRS.0000000000004993
M3 - Article
C2 - 38501486
AN - SCOPUS:85203019252
SN - 0362-2436
VL - 50
SP - 34
EP - 39
JO - Spine
JF - Spine
IS - 1
ER -