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Etiology-specific variation in survival following non-traumatic spinal cord injury: a causal inference approach using data from a population-based cohort
STUDY DESIGN: Observational, population-based cohort study. OBJECTIVES: To evaluate the origin and contribution to excess of survival differences following non-traumatic spinal cord injury (NTSCI) using etiology as proxy for variation in underlying health condition. SETTING: Specialized rehabilitati...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943420/ https://www.ncbi.nlm.nih.gov/pubmed/32948845 http://dx.doi.org/10.1038/s41393-020-00554-9 |
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author | Buzzell, Anne Chamberlain, Jonviea D. Eriks-Hoogland, Inge Jordan, Xavier Schubert, Martin Zwahlen, Marcel Brinkhof, Martin W. G. |
author_facet | Buzzell, Anne Chamberlain, Jonviea D. Eriks-Hoogland, Inge Jordan, Xavier Schubert, Martin Zwahlen, Marcel Brinkhof, Martin W. G. |
author_sort | Buzzell, Anne |
collection | PubMed |
description | STUDY DESIGN: Observational, population-based cohort study. OBJECTIVES: To evaluate the origin and contribution to excess of survival differences following non-traumatic spinal cord injury (NTSCI) using etiology as proxy for variation in underlying health condition. SETTING: Specialized rehabilitation centers in Switzerland. METHODS: Medical record data collected by the Swiss Spinal Cord Injury cohort (SwiSCI) study were linked with mortality information from the Swiss National Cohort. Considering contemporary theory and empirical evidence, a directed acyclic graph (DAG) was developed to formally evaluate causal differences among NTSCI etiologies, relative to traumatic SCI (TSCI). Statistical inference was contingent on hazard ratios (HRs) and marginal survival differences, derived using flexible parametric modeling. RESULTS: 3643 individuals (NTSCI = 1357; TSCI = 2286) diagnosed with SCI between 1990 and 2011 were included, contributing a cumulative 41,344 person-years and 1323 deaths. Test statistics confirmed DAG-dataset consistency. As compared to TSCI, mortality was elevated in all NTSCI etiological groups; malignant etiologies had the highest HRs (10; 95% CI, 8.0 to 14) followed by infection (2.6; 1.8 to 3.6) and vascular (2.5; 2.0 to 3.2) etiology groups. At the attained age of 55, the estimated reduction in survival among non-malignant etiologies was 9.4% (5.8 to 13) at 5 years and 17% (11 to 23) at 20 years. CONCLUSIONS: Causal differences in survival among NTSCI etiological groups are likely a result of chronic variation in health conditions. This study supports the development of long-term interdisciplinary management and policy for individuals with NTSCI, specific to etiology. |
format | Online Article Text |
id | pubmed-7943420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79434202021-03-28 Etiology-specific variation in survival following non-traumatic spinal cord injury: a causal inference approach using data from a population-based cohort Buzzell, Anne Chamberlain, Jonviea D. Eriks-Hoogland, Inge Jordan, Xavier Schubert, Martin Zwahlen, Marcel Brinkhof, Martin W. G. Spinal Cord Article STUDY DESIGN: Observational, population-based cohort study. OBJECTIVES: To evaluate the origin and contribution to excess of survival differences following non-traumatic spinal cord injury (NTSCI) using etiology as proxy for variation in underlying health condition. SETTING: Specialized rehabilitation centers in Switzerland. METHODS: Medical record data collected by the Swiss Spinal Cord Injury cohort (SwiSCI) study were linked with mortality information from the Swiss National Cohort. Considering contemporary theory and empirical evidence, a directed acyclic graph (DAG) was developed to formally evaluate causal differences among NTSCI etiologies, relative to traumatic SCI (TSCI). Statistical inference was contingent on hazard ratios (HRs) and marginal survival differences, derived using flexible parametric modeling. RESULTS: 3643 individuals (NTSCI = 1357; TSCI = 2286) diagnosed with SCI between 1990 and 2011 were included, contributing a cumulative 41,344 person-years and 1323 deaths. Test statistics confirmed DAG-dataset consistency. As compared to TSCI, mortality was elevated in all NTSCI etiological groups; malignant etiologies had the highest HRs (10; 95% CI, 8.0 to 14) followed by infection (2.6; 1.8 to 3.6) and vascular (2.5; 2.0 to 3.2) etiology groups. At the attained age of 55, the estimated reduction in survival among non-malignant etiologies was 9.4% (5.8 to 13) at 5 years and 17% (11 to 23) at 20 years. CONCLUSIONS: Causal differences in survival among NTSCI etiological groups are likely a result of chronic variation in health conditions. This study supports the development of long-term interdisciplinary management and policy for individuals with NTSCI, specific to etiology. Nature Publishing Group UK 2020-09-18 2021 /pmc/articles/PMC7943420/ /pubmed/32948845 http://dx.doi.org/10.1038/s41393-020-00554-9 Text en © The Author(s) 2020, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Buzzell, Anne Chamberlain, Jonviea D. Eriks-Hoogland, Inge Jordan, Xavier Schubert, Martin Zwahlen, Marcel Brinkhof, Martin W. G. Etiology-specific variation in survival following non-traumatic spinal cord injury: a causal inference approach using data from a population-based cohort |
title | Etiology-specific variation in survival following non-traumatic spinal cord injury: a causal inference approach using data from a population-based cohort |
title_full | Etiology-specific variation in survival following non-traumatic spinal cord injury: a causal inference approach using data from a population-based cohort |
title_fullStr | Etiology-specific variation in survival following non-traumatic spinal cord injury: a causal inference approach using data from a population-based cohort |
title_full_unstemmed | Etiology-specific variation in survival following non-traumatic spinal cord injury: a causal inference approach using data from a population-based cohort |
title_short | Etiology-specific variation in survival following non-traumatic spinal cord injury: a causal inference approach using data from a population-based cohort |
title_sort | etiology-specific variation in survival following non-traumatic spinal cord injury: a causal inference approach using data from a population-based cohort |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943420/ https://www.ncbi.nlm.nih.gov/pubmed/32948845 http://dx.doi.org/10.1038/s41393-020-00554-9 |
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