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Prevalence of spine degeneration diagnosis by type, age, gender, and obesity using Medicare data
Identifying the prevalence of degenerative spinal pathologies and relevant demographic risk factors is important for understanding spine injury risk, prevention, treatment, and outcome, and for distinguishing acute injuries from degenerative pathologies. Prevalence data in the literature are often b...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940625/ https://www.ncbi.nlm.nih.gov/pubmed/33686128 http://dx.doi.org/10.1038/s41598-021-84724-6 |
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author | Parenteau, Chantal S. Lau, Edmund C. Campbell, Ian C. Courtney, Amy |
author_facet | Parenteau, Chantal S. Lau, Edmund C. Campbell, Ian C. Courtney, Amy |
author_sort | Parenteau, Chantal S. |
collection | PubMed |
description | Identifying the prevalence of degenerative spinal pathologies and relevant demographic risk factors is important for understanding spine injury risk, prevention, treatment, and outcome, and for distinguishing acute injuries from degenerative pathologies. Prevalence data in the literature are often based on small-scale studies focused on a single type of pathology. This study evaluates the prevalence of diagnosis of selected degenerative spinal pathology diagnoses using Medicare insurance claim data in the context of published smaller-scale studies. In addition, the data are used to evaluate whether the prevalence is affected by age, sex, diagnosed obesity, and the use of medical imaging. The Medicare Claims 5% Limited Data Set was queried to identify diagnoses of degenerative spinal pathologies. Unique patient diagnoses per year were further evaluated as a function of age, gender, and obesity diagnosis. Participants were also stratified by coding for radiological imaging accompanying each diagnosis. The overall prevalence of diagnosed spinal degenerative disease was 27.3% and increased with age. The prevalence of diagnosed disc disease was 2.7 times greater in those with radiology. The results demonstrate that degenerative findings in the spine are common, and, since asymptomatic individuals may not receive a diagnosis of degenerative conditions, this analysis likely underestimates the general prevalence of these conditions. |
format | Online Article Text |
id | pubmed-7940625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79406252021-03-10 Prevalence of spine degeneration diagnosis by type, age, gender, and obesity using Medicare data Parenteau, Chantal S. Lau, Edmund C. Campbell, Ian C. Courtney, Amy Sci Rep Article Identifying the prevalence of degenerative spinal pathologies and relevant demographic risk factors is important for understanding spine injury risk, prevention, treatment, and outcome, and for distinguishing acute injuries from degenerative pathologies. Prevalence data in the literature are often based on small-scale studies focused on a single type of pathology. This study evaluates the prevalence of diagnosis of selected degenerative spinal pathology diagnoses using Medicare insurance claim data in the context of published smaller-scale studies. In addition, the data are used to evaluate whether the prevalence is affected by age, sex, diagnosed obesity, and the use of medical imaging. The Medicare Claims 5% Limited Data Set was queried to identify diagnoses of degenerative spinal pathologies. Unique patient diagnoses per year were further evaluated as a function of age, gender, and obesity diagnosis. Participants were also stratified by coding for radiological imaging accompanying each diagnosis. The overall prevalence of diagnosed spinal degenerative disease was 27.3% and increased with age. The prevalence of diagnosed disc disease was 2.7 times greater in those with radiology. The results demonstrate that degenerative findings in the spine are common, and, since asymptomatic individuals may not receive a diagnosis of degenerative conditions, this analysis likely underestimates the general prevalence of these conditions. Nature Publishing Group UK 2021-03-08 /pmc/articles/PMC7940625/ /pubmed/33686128 http://dx.doi.org/10.1038/s41598-021-84724-6 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Parenteau, Chantal S. Lau, Edmund C. Campbell, Ian C. Courtney, Amy Prevalence of spine degeneration diagnosis by type, age, gender, and obesity using Medicare data |
title | Prevalence of spine degeneration diagnosis by type, age, gender, and obesity using Medicare data |
title_full | Prevalence of spine degeneration diagnosis by type, age, gender, and obesity using Medicare data |
title_fullStr | Prevalence of spine degeneration diagnosis by type, age, gender, and obesity using Medicare data |
title_full_unstemmed | Prevalence of spine degeneration diagnosis by type, age, gender, and obesity using Medicare data |
title_short | Prevalence of spine degeneration diagnosis by type, age, gender, and obesity using Medicare data |
title_sort | prevalence of spine degeneration diagnosis by type, age, gender, and obesity using medicare data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940625/ https://www.ncbi.nlm.nih.gov/pubmed/33686128 http://dx.doi.org/10.1038/s41598-021-84724-6 |
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