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Spinal Cord Injury: The Global Incidence, Prevalence, and Disability From the Global Burden of Disease Study 2019
A retrospective cohort study. OBJECTIVE. The authors aimed to estimate the incidence, prevalence and years lived with disability (YLDs) of spinal cord injury (SCI) by location, sex, age, injury site and socio-demographic index (SDI) based on the data of the Global Burden of Disease Study (GBD) 2019....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554757/ https://www.ncbi.nlm.nih.gov/pubmed/35857624 http://dx.doi.org/10.1097/BRS.0000000000004417 |
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author | Ding, Weizhong Hu, Shian Wang, Pengju Kang, Honglei Peng, Renpeng Dong, Yimin Li, Feng |
author_facet | Ding, Weizhong Hu, Shian Wang, Pengju Kang, Honglei Peng, Renpeng Dong, Yimin Li, Feng |
author_sort | Ding, Weizhong |
collection | PubMed |
description | A retrospective cohort study. OBJECTIVE. The authors aimed to estimate the incidence, prevalence and years lived with disability (YLDs) of spinal cord injury (SCI) by location, sex, age, injury site and socio-demographic index (SDI) based on the data of the Global Burden of Disease Study (GBD) 2019. SUMMARY OF BACKGROUND DATA. GBD 2019 estimates the burden of 369 diseases and injuries worldwide in 2019 and the temporal trends in the past 30 years. SCI is estimated as a result of injury from various causes. METHODS. A Bayesian meta-regression tool, DisMod-MR2.1, was used to produce the estimates. Estimated annual percentage change (EAPC) was calculated based on a linear regression mode of the age standardized rates and the calendar year to represent the temporal trends of the age standardized rates. Spearman rank order correlation was used to determine the correlation between SDI and the incidence and burden of SCI. RESULTS. Globally, there were 0.9 [95% uncertainty interval (UI), 0.7 to 1.2] million incident cases, 20.6 (95% UI, 18.9–23.6) million prevalent cases and 6.2 (95% UI, 4.5–8.2) million YLDs of total SCI in 2019. The ASPR increased (EAPC, 0.1; 95% confidence interval, −0.01 to 0.2), while the age standardized incidence rate (ASIR) (EAPC, −0.08; 95% UI, −0.24 to 0.09) and age standardized YLD rate (ASYR) (EAPC, −0.08; 95% confidence interval, −0.24 to 0.09) decreased. Males had higher ASIR and ASYR, and the rate of incidence, prevalence and YLD increased with age. Spinal injuries at neck level caused higher ASYR than injuries below neck level. A positive correlation existed between SDI and ASIR (ρ=0.1626, P<0.05), while a negative correlation was observed between SDI and EAPC of ASYR (ρ=−0.2421, P<0.01). CONCLUSION. Conclusively, the incidence and burden of SCI has increased over the last 30 years. Males and the elderly were affected to a greater degree than females and younger individuals. LEVEL OF EVIDENCE. Level III. |
format | Online Article Text |
id | pubmed-9554757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-95547572022-10-19 Spinal Cord Injury: The Global Incidence, Prevalence, and Disability From the Global Burden of Disease Study 2019 Ding, Weizhong Hu, Shian Wang, Pengju Kang, Honglei Peng, Renpeng Dong, Yimin Li, Feng Spine (Phila Pa 1976) Epidemiology A retrospective cohort study. OBJECTIVE. The authors aimed to estimate the incidence, prevalence and years lived with disability (YLDs) of spinal cord injury (SCI) by location, sex, age, injury site and socio-demographic index (SDI) based on the data of the Global Burden of Disease Study (GBD) 2019. SUMMARY OF BACKGROUND DATA. GBD 2019 estimates the burden of 369 diseases and injuries worldwide in 2019 and the temporal trends in the past 30 years. SCI is estimated as a result of injury from various causes. METHODS. A Bayesian meta-regression tool, DisMod-MR2.1, was used to produce the estimates. Estimated annual percentage change (EAPC) was calculated based on a linear regression mode of the age standardized rates and the calendar year to represent the temporal trends of the age standardized rates. Spearman rank order correlation was used to determine the correlation between SDI and the incidence and burden of SCI. RESULTS. Globally, there were 0.9 [95% uncertainty interval (UI), 0.7 to 1.2] million incident cases, 20.6 (95% UI, 18.9–23.6) million prevalent cases and 6.2 (95% UI, 4.5–8.2) million YLDs of total SCI in 2019. The ASPR increased (EAPC, 0.1; 95% confidence interval, −0.01 to 0.2), while the age standardized incidence rate (ASIR) (EAPC, −0.08; 95% UI, −0.24 to 0.09) and age standardized YLD rate (ASYR) (EAPC, −0.08; 95% confidence interval, −0.24 to 0.09) decreased. Males had higher ASIR and ASYR, and the rate of incidence, prevalence and YLD increased with age. Spinal injuries at neck level caused higher ASYR than injuries below neck level. A positive correlation existed between SDI and ASIR (ρ=0.1626, P<0.05), while a negative correlation was observed between SDI and EAPC of ASYR (ρ=−0.2421, P<0.01). CONCLUSION. Conclusively, the incidence and burden of SCI has increased over the last 30 years. Males and the elderly were affected to a greater degree than females and younger individuals. LEVEL OF EVIDENCE. Level III. Lippincott Williams & Wilkins 2022-11-01 2022-06-30 /pmc/articles/PMC9554757/ /pubmed/35857624 http://dx.doi.org/10.1097/BRS.0000000000004417 Text en © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Epidemiology Ding, Weizhong Hu, Shian Wang, Pengju Kang, Honglei Peng, Renpeng Dong, Yimin Li, Feng Spinal Cord Injury: The Global Incidence, Prevalence, and Disability From the Global Burden of Disease Study 2019 |
title | Spinal Cord Injury: The Global Incidence, Prevalence, and Disability From the Global Burden of Disease Study 2019 |
title_full | Spinal Cord Injury: The Global Incidence, Prevalence, and Disability From the Global Burden of Disease Study 2019 |
title_fullStr | Spinal Cord Injury: The Global Incidence, Prevalence, and Disability From the Global Burden of Disease Study 2019 |
title_full_unstemmed | Spinal Cord Injury: The Global Incidence, Prevalence, and Disability From the Global Burden of Disease Study 2019 |
title_short | Spinal Cord Injury: The Global Incidence, Prevalence, and Disability From the Global Burden of Disease Study 2019 |
title_sort | spinal cord injury: the global incidence, prevalence, and disability from the global burden of disease study 2019 |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554757/ https://www.ncbi.nlm.nih.gov/pubmed/35857624 http://dx.doi.org/10.1097/BRS.0000000000004417 |
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