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343 The Influence of Dynamic Data in Adult Spinal Deformity Surgery Planning and Patient Candidacy: A Preliminary Study

OBJECTIVES/GOALS: Adult spinal deformity is commonly treated by spine surgeons. Patient treatment planning and surgical candidacy are dependent on static measurements and inconsistent heuristics which lead to high complication rates and poor outcomes. This study tests the role of supplemental longit...

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Autores principales: Fuleihan, Antony, Haas, Evan, Khalsa, Siri, Williams, John, Yazdi, Youseph, Theodore, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129535/
http://dx.doi.org/10.1017/cts.2023.387
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author Fuleihan, Antony
Haas, Evan
Khalsa, Siri
Williams, John
Yazdi, Youseph
Theodore, Nicholas
author_facet Fuleihan, Antony
Haas, Evan
Khalsa, Siri
Williams, John
Yazdi, Youseph
Theodore, Nicholas
author_sort Fuleihan, Antony
collection PubMed
description OBJECTIVES/GOALS: Adult spinal deformity is commonly treated by spine surgeons. Patient treatment planning and surgical candidacy are dependent on static measurements and inconsistent heuristics which lead to high complication rates and poor outcomes. This study tests the role of supplemental longitudinal and dynamic patient data in improving surgical planning. METHODS/STUDY POPULATION: Ten adult spinal deformity surgeons at Johns Hopkins Hospital were interviewed for 30 minutes by the study team. The script was reviewed by the institutional review board to alleviate any risk of bias. Two patient sets were curated utilizing previously treated, anonymized patient data sets from a non-surveyed practitioner. Each patient set was coupled with relevant radiographic imaging (MRIs, CTs, and plain radiographs) and pertinent clinical information that is collected in a standard clinic visit. Surgeons were presented with a patient and asked to note their specific surgical plan. Subsequently, surgeons were presented with four sets of supplemental dynamic spine data and asked to note their surgical plan for each set. Shaprio-Wilks and Mann-Whitney U tests were used to assess data normality and nonnormality. RESULTS/ANTICIPATED RESULTS: Preliminary data has shown inconsistency in both surgical selection and surgical type amongst physicians when presented with initial clinical findings and radiographic reports for base patient cases. There was minimal consensus among surgeons on the number of levels fused and interbody spacer usage. Early results show that dynamic spine data may be beneficial in creating consistency between surgeons, despite inter-surgeon variability in surgical planning without this data. Posture, pain location, pain severity, and quantified activity throughout the day have been referenced as the most useful dynamic spine data to consider. Amongst all providers, the availability of dynamic spine data resulted in a change in surgical planning. DISCUSSION/SIGNIFICANCE: Recent publications have shown that spine surgery patient candidacy and surgical planning are dependent on heuristics. This has led to inconsistencies amongst surgeon preferences and increases in improper patient selection for procedures. Incorporating longitudinal dynamic data may lead to increased consistency and improved patient outcomes.
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spelling pubmed-101295352023-04-26 343 The Influence of Dynamic Data in Adult Spinal Deformity Surgery Planning and Patient Candidacy: A Preliminary Study Fuleihan, Antony Haas, Evan Khalsa, Siri Williams, John Yazdi, Youseph Theodore, Nicholas J Clin Transl Sci Precision Medicine/Health OBJECTIVES/GOALS: Adult spinal deformity is commonly treated by spine surgeons. Patient treatment planning and surgical candidacy are dependent on static measurements and inconsistent heuristics which lead to high complication rates and poor outcomes. This study tests the role of supplemental longitudinal and dynamic patient data in improving surgical planning. METHODS/STUDY POPULATION: Ten adult spinal deformity surgeons at Johns Hopkins Hospital were interviewed for 30 minutes by the study team. The script was reviewed by the institutional review board to alleviate any risk of bias. Two patient sets were curated utilizing previously treated, anonymized patient data sets from a non-surveyed practitioner. Each patient set was coupled with relevant radiographic imaging (MRIs, CTs, and plain radiographs) and pertinent clinical information that is collected in a standard clinic visit. Surgeons were presented with a patient and asked to note their specific surgical plan. Subsequently, surgeons were presented with four sets of supplemental dynamic spine data and asked to note their surgical plan for each set. Shaprio-Wilks and Mann-Whitney U tests were used to assess data normality and nonnormality. RESULTS/ANTICIPATED RESULTS: Preliminary data has shown inconsistency in both surgical selection and surgical type amongst physicians when presented with initial clinical findings and radiographic reports for base patient cases. There was minimal consensus among surgeons on the number of levels fused and interbody spacer usage. Early results show that dynamic spine data may be beneficial in creating consistency between surgeons, despite inter-surgeon variability in surgical planning without this data. Posture, pain location, pain severity, and quantified activity throughout the day have been referenced as the most useful dynamic spine data to consider. Amongst all providers, the availability of dynamic spine data resulted in a change in surgical planning. DISCUSSION/SIGNIFICANCE: Recent publications have shown that spine surgery patient candidacy and surgical planning are dependent on heuristics. This has led to inconsistencies amongst surgeon preferences and increases in improper patient selection for procedures. Incorporating longitudinal dynamic data may lead to increased consistency and improved patient outcomes. Cambridge University Press 2023-04-24 /pmc/articles/PMC10129535/ http://dx.doi.org/10.1017/cts.2023.387 Text en © The Association for Clinical and Translational Science 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
spellingShingle Precision Medicine/Health
Fuleihan, Antony
Haas, Evan
Khalsa, Siri
Williams, John
Yazdi, Youseph
Theodore, Nicholas
343 The Influence of Dynamic Data in Adult Spinal Deformity Surgery Planning and Patient Candidacy: A Preliminary Study
title 343 The Influence of Dynamic Data in Adult Spinal Deformity Surgery Planning and Patient Candidacy: A Preliminary Study
title_full 343 The Influence of Dynamic Data in Adult Spinal Deformity Surgery Planning and Patient Candidacy: A Preliminary Study
title_fullStr 343 The Influence of Dynamic Data in Adult Spinal Deformity Surgery Planning and Patient Candidacy: A Preliminary Study
title_full_unstemmed 343 The Influence of Dynamic Data in Adult Spinal Deformity Surgery Planning and Patient Candidacy: A Preliminary Study
title_short 343 The Influence of Dynamic Data in Adult Spinal Deformity Surgery Planning and Patient Candidacy: A Preliminary Study
title_sort 343 the influence of dynamic data in adult spinal deformity surgery planning and patient candidacy: a preliminary study
topic Precision Medicine/Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129535/
http://dx.doi.org/10.1017/cts.2023.387
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