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Analysis of data for comorbidity and survival in out-of-hospital cardiac arrest
The data presented in this article is supplementary to the research article titled ”Comorbidity and survival in out-of-hospital cardiac arrest” (Hirlekar et al., 2018). The data contains information of how Charlson Comorbidity Index (CCI) is calculated and coded from ICD-10 codes. Multivariable logi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6240633/ https://www.ncbi.nlm.nih.gov/pubmed/30480066 http://dx.doi.org/10.1016/j.dib.2018.11.010 |
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author | Hirlekar, Geir Jonsson, Martin Karlsson, Thomas Hollenberg, Jacob Albertsson, Per Herlitz, Johan |
author_facet | Hirlekar, Geir Jonsson, Martin Karlsson, Thomas Hollenberg, Jacob Albertsson, Per Herlitz, Johan |
author_sort | Hirlekar, Geir |
collection | PubMed |
description | The data presented in this article is supplementary to the research article titled ”Comorbidity and survival in out-of-hospital cardiac arrest” (Hirlekar et al., 2018). The data contains information of how Charlson Comorbidity Index (CCI) is calculated and coded from ICD-10 codes. Multivariable logistic regression was used in the analysis of association between comorbidity and return of spontaneous circulation. We present baseline characteristics of patients found in VF/VT. All patients with non-missing data on all baseline variables are analyzed separately. We compare the baseline characteristics of patients with and without complete data set. Analysis of when comorbidity was identified in relation to outcome is also shown. |
format | Online Article Text |
id | pubmed-6240633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62406332018-11-26 Analysis of data for comorbidity and survival in out-of-hospital cardiac arrest Hirlekar, Geir Jonsson, Martin Karlsson, Thomas Hollenberg, Jacob Albertsson, Per Herlitz, Johan Data Brief Medicine and Dentistry The data presented in this article is supplementary to the research article titled ”Comorbidity and survival in out-of-hospital cardiac arrest” (Hirlekar et al., 2018). The data contains information of how Charlson Comorbidity Index (CCI) is calculated and coded from ICD-10 codes. Multivariable logistic regression was used in the analysis of association between comorbidity and return of spontaneous circulation. We present baseline characteristics of patients found in VF/VT. All patients with non-missing data on all baseline variables are analyzed separately. We compare the baseline characteristics of patients with and without complete data set. Analysis of when comorbidity was identified in relation to outcome is also shown. Elsevier 2018-11-06 /pmc/articles/PMC6240633/ /pubmed/30480066 http://dx.doi.org/10.1016/j.dib.2018.11.010 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Medicine and Dentistry Hirlekar, Geir Jonsson, Martin Karlsson, Thomas Hollenberg, Jacob Albertsson, Per Herlitz, Johan Analysis of data for comorbidity and survival in out-of-hospital cardiac arrest |
title | Analysis of data for comorbidity and survival in out-of-hospital cardiac arrest |
title_full | Analysis of data for comorbidity and survival in out-of-hospital cardiac arrest |
title_fullStr | Analysis of data for comorbidity and survival in out-of-hospital cardiac arrest |
title_full_unstemmed | Analysis of data for comorbidity and survival in out-of-hospital cardiac arrest |
title_short | Analysis of data for comorbidity and survival in out-of-hospital cardiac arrest |
title_sort | analysis of data for comorbidity and survival in out-of-hospital cardiac arrest |
topic | Medicine and Dentistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6240633/ https://www.ncbi.nlm.nih.gov/pubmed/30480066 http://dx.doi.org/10.1016/j.dib.2018.11.010 |
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