Using Electronic Health Records to Assess Depression and Cancer Comorbidities

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• dc.contributor.author Mayer, Miguel Ángel, 1960-ca
• dc.contributor.author Gutiérrez Sacristán, Albaca
• dc.contributor.author Leis Machín, Angela 1974-ca
• dc.contributor.author De La Peña, Santiagoca
• dc.contributor.author Sanz, Ferranca
• dc.contributor.author Furlong, Laura I., 1971-ca
• dc.date.accessioned 2017-07-06T07:44:28Z
• dc.date.available 2017-07-06T07:44:28Z
• dc.date.issued 2017
• dc.description.abstract Comorbid diseases are an important concern in oncology since they can affect the choice and effectiveness of treatment. What is particularly relevant is the fact that the diagnosis of depression in cancer patients has an important impact on the quality of life of these patients. Although there is no consensus about a specific relationship of depression with certain cancer types, some authors have proposed that depression constitutes a risk factor for cancer. The objective of this study is to identify the presence of comorbidities in a massive EHR system, between depression and the 10 most common cancers in women and men and to determine if there is a preferred temporal ordering in the co-occurrence of these diseases. All the cancers studied showed a significant co-occurrence with depression, more specifically, twice more frequent than what could be expected by chance. A preferred directionality was identified between some of the comorbid diseases, such as breast cancer followed by depression, and depression followed by either stomach cancer, colorectal cancer or lung cancer. Future work will address other potential factors that have an influence on the likelihood of suffering from depression in patients with cancer, such as drug therapies received, exposure to substance of abuse or other comorbidities.
• dc.description.sponsorship We received support from the IMI-JU under grant agreement no.115372 (EMIF), resources of which are composed of financial contribution from the EU-FP7 (FP7/2007-2013) and EFPIA companies in kind contribution, and from the EU H2020 Research & Innovation Programme 2014-2020 under grant agreements no. 634143 (MedBioinformatics: Creating medically-driven integrative bioinformatics applications focused on oncology, CNS disorders and their comorbidities).
• dc.format.mimetype application/pdfca
• dc.identifier.citation Mayer MA, Gutierrez Sacristan A, Leis Machin A, De La Peña S, Sanz F, Furlong LI. Using Electronic Health Records to Assess Depression and Cancer Comorbidities. Studies in Health Technology and Informatics. 2017;235:236-40. DOI: 10.3233/978-1-61499-753-5-236
• dc.identifier.doi http://dx.doi.org/10.3233/978-1-61499-753-5-236
• dc.identifier.issn 0926-9630
• dc.identifier.uri http://hdl.handle.net/10230/32513
• dc.language.iso eng
• dc.publisher IOS Pressca
• dc.relation.ispartof Studies in Health Technology and Informatics. 2017;235:236-40
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/115372
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/634143
• dc.rights © 2017 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). http://dx.doi.org/10.3233/978-1-61499-753-5-236.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/deed.en_US
• dc.subject.keyword Comorbidity
• dc.subject.keyword Electronic Health Records
• dc.subject.keyword Depression
• dc.subject.keyword Cancer
• dc.title Using Electronic Health Records to Assess Depression and Cancer Comorbiditiesca
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion