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Probability analysis of sequential SCFE (PASS score)

PURPOSE: The study aimed to develop a scoring system based on clinical and radiological findings to predict the risk of a sequential slipped capital femoral epiphysis (SCFE). METHODS: Paediatric patients with unilateral SCFE and at least two years of radiographic follow-up were screened for inclusio...

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Autores principales: Danino, Baruch, Singh, Satbir, Shi, Junxin, Yang, Jingzhen, Samora, Walter P., Iobst, Christopher A., Klingele, Kevin E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Editorial Society of Bone & Joint Surgery 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666801/
https://www.ncbi.nlm.nih.gov/pubmed/33204346
http://dx.doi.org/10.1302/1863-2548.14.200080
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author Danino, Baruch
Singh, Satbir
Shi, Junxin
Yang, Jingzhen
Samora, Walter P.
Iobst, Christopher A.
Klingele, Kevin E.
author_facet Danino, Baruch
Singh, Satbir
Shi, Junxin
Yang, Jingzhen
Samora, Walter P.
Iobst, Christopher A.
Klingele, Kevin E.
author_sort Danino, Baruch
collection PubMed
description PURPOSE: The study aimed to develop a scoring system based on clinical and radiological findings to predict the risk of a sequential slipped capital femoral epiphysis (SCFE). METHODS: Paediatric patients with unilateral SCFE and at least two years of radiographic follow-up were screened for inclusion. Medical records were reviewed for multiple variables including age, gender, body mass index (BMI), stability of SCFE, and time to sequential presentation. Radiographic analysis included triradiate physeal status, Risser staging, superior epiphyseal extension ratio (EER), posterior epiphyseal angle (PEA), posterior sloping angle (PSA) and slip severity. RESULTS: In total, 163 patients (88 male, 54%, 75 female, 46%) met inclusion criteria. Of those, 65 (40%) with a mean age of 11.9 ± 1.3 years developed sequential SCFE at a mean of 9.8 ± 6.4 months after the initial slip. Eight independent variables were statistically different (p < 0.05) between unilateral and sequential groups. Following multivariate analysis, Risser stage and triradiate status were no longer significant and did not influence the strength of the final model (overall area under the curve (AUC) = 0.954) and were consequently excluded. We developed the PASS score using three radiographic parameters using chosen cut-off values that were close to their maximized value and weighted the point value assigned to each parameter based on the strength of predictor. CONCLUSION: A PASS score of three or higher predicts a high probability of sequential SCFE with 95% confidence and may warrant prophylactic screw fixation. PASS score calculation can be used to predict a sequential SCFE and provide an objective method to determine the utility prophylactic screw fixation. LEVEL OF EVIDENCE: II
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spelling pubmed-76668012020-11-16 Probability analysis of sequential SCFE (PASS score) Danino, Baruch Singh, Satbir Shi, Junxin Yang, Jingzhen Samora, Walter P. Iobst, Christopher A. Klingele, Kevin E. J Child Orthop Original Clinical Article PURPOSE: The study aimed to develop a scoring system based on clinical and radiological findings to predict the risk of a sequential slipped capital femoral epiphysis (SCFE). METHODS: Paediatric patients with unilateral SCFE and at least two years of radiographic follow-up were screened for inclusion. Medical records were reviewed for multiple variables including age, gender, body mass index (BMI), stability of SCFE, and time to sequential presentation. Radiographic analysis included triradiate physeal status, Risser staging, superior epiphyseal extension ratio (EER), posterior epiphyseal angle (PEA), posterior sloping angle (PSA) and slip severity. RESULTS: In total, 163 patients (88 male, 54%, 75 female, 46%) met inclusion criteria. Of those, 65 (40%) with a mean age of 11.9 ± 1.3 years developed sequential SCFE at a mean of 9.8 ± 6.4 months after the initial slip. Eight independent variables were statistically different (p < 0.05) between unilateral and sequential groups. Following multivariate analysis, Risser stage and triradiate status were no longer significant and did not influence the strength of the final model (overall area under the curve (AUC) = 0.954) and were consequently excluded. We developed the PASS score using three radiographic parameters using chosen cut-off values that were close to their maximized value and weighted the point value assigned to each parameter based on the strength of predictor. CONCLUSION: A PASS score of three or higher predicts a high probability of sequential SCFE with 95% confidence and may warrant prophylactic screw fixation. PASS score calculation can be used to predict a sequential SCFE and provide an objective method to determine the utility prophylactic screw fixation. LEVEL OF EVIDENCE: II The British Editorial Society of Bone & Joint Surgery 2020-10-01 /pmc/articles/PMC7666801/ /pubmed/33204346 http://dx.doi.org/10.1302/1863-2548.14.200080 Text en Copyright © 2020, The author(s) http://creativecommons.org/licenses/by-nc/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (CC BY-NC 4.0) licence (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.
spellingShingle Original Clinical Article
Danino, Baruch
Singh, Satbir
Shi, Junxin
Yang, Jingzhen
Samora, Walter P.
Iobst, Christopher A.
Klingele, Kevin E.
Probability analysis of sequential SCFE (PASS score)
title Probability analysis of sequential SCFE (PASS score)
title_full Probability analysis of sequential SCFE (PASS score)
title_fullStr Probability analysis of sequential SCFE (PASS score)
title_full_unstemmed Probability analysis of sequential SCFE (PASS score)
title_short Probability analysis of sequential SCFE (PASS score)
title_sort probability analysis of sequential scfe (pass score)
topic Original Clinical Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666801/
https://www.ncbi.nlm.nih.gov/pubmed/33204346
http://dx.doi.org/10.1302/1863-2548.14.200080
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