Assessment of medical management in Coronary Type 2 Diabetic patients with previous percutaneous coronary intervention in Spain: a retrospective analysis of electronic health records using Natural Language Processing

dc.contributor.authorGonzález Juanatey, Carlos
dc.contributor.authorAnguita, Manuel
dc.contributor.authorBarrios, Vivencio
dc.contributor.authorNúñez Gil, Iván
dc.contributor.authorGómez-Doblas, Juan José
dc.contributor.authorGarcía-Moll, Xavier
dc.contributor.authorLafuente-Gormaz, Carlos
dc.contributor.authorRollán Gómez, María Jesús
dc.contributor.authorPeral-Disdie, Vicente
dc.contributor.authorMartínez-Dolz, Luis
dc.contributor.authorRodríguez Santamarta, Miguel
dc.contributor.authorViñolas-Prat, Xavier
dc.contributor.authorSoriano-Colomé, Toni
dc.contributor.authorMuñoz-Aguilera, Roberto
dc.contributor.authorPlaza, Ignacio
dc.contributor.authorCurcio-Ruigómez, Alejandro
dc.contributor.authorOrts-Soler, Ernesto
dc.contributor.authorSegovia, Javier
dc.contributor.authorMaté, Claudia
dc.contributor.authorCequier Fillat, Àngel R.
dc.date.accessioned2022-06-13T18:14:19Z
dc.date.available2022-06-13T18:14:19Z
dc.date.issued2022-02-10
dc.date.updated2022-06-13T18:14:19Z
dc.description.abstractIntroduction and objectives: Patients with type 2 diabetes (T2D) and stable coronary artery disease (CAD) previously revascularized with percutaneous coronary intervention (PCI) are at high risk of recurrent ischemic events. We aimed to provide real-world insights into the clinical characteristics and management of this clinical population, excluding patients with a history of myocardial infarction (MI) or stroke, using Natural Language Processing (NLP) technology. Methods: This is a multicenter, retrospective study based on the secondary use of 2014-2018 real world data captured in the Electronic Health Records (EHRs) of 1,579 patients (0.72% of the T2D population analyzed; n = 217,632 patients) from 12 representative hospitals in Spain. To access the unstructured clinical information in EHRs, we used the EHRead® technology, based on NLP and machine learning. Major adverse cardiovascular events (MACE) were considered: MI, ischemic stroke, urgent coronary revascularization, and hospitalization due to unstable angina. The association between MACE rates and the variables included in this study was evaluated following univariate and multivariate approaches. Results: Most patients were male (72.13%), with a mean age of 70.5±10 years. Regarding T2D, most patients were non-insulin-dependent T2D (61.75%) with high prevalence of comorbidi ties. The median (Q1-Q3) duration of follow-up was 1.2 (0.3-4.5) years. Overall, 35.66% of patients suffered from at least one MACE during follow up. Using a Cox Proportional Haz ards regression model analysis, several independent factors were associated with MACE during follow up: CAD duration (p < 0.001), COPD/Asthma (p = 0.021), heart valve disease (p = 0.031), multivessel disease (p = 0.005), insulin treatment (p < 0.001), statins treatment (p < 0.001), and clopidogrel treatment (p = 0.039). Conclusions: Our results showed high rates of MACE in a large real-world series of PCI-revascularized patients with T2D and CAD with no history of MI or stroke. These data represent a potential opportunity to improve the clinical management of these patients.
dc.format.extent17 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec722525
dc.identifier.issn1932-6203
dc.identifier.pmid35143527
dc.identifier.urihttps://hdl.handle.net/2445/186586
dc.language.isoeng
dc.publisherPublic Library of Science (PLoS)
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1371/journal.pone.0263277
dc.relation.ispartofPLoS One, 2022, vol. 17, num. 2, p. e0263277
dc.relation.urihttps://doi.org/10.1371/journal.pone.0263277
dc.rightscc-by (c) González Juanatey, Carlos et al., 2022
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceArticles publicats en revistes (Ciències Clíniques)
dc.subject.classificationTractament del llenguatge natural (Informàtica)
dc.subject.classificationDiabetis
dc.subject.classificationAvaluació de l'assistència mèdica
dc.subject.otherNatural language processing (Computer science)
dc.subject.otherDiabetes
dc.subject.otherMedical care evaluation
dc.titleAssessment of medical management in Coronary Type 2 Diabetic patients with previous percutaneous coronary intervention in Spain: a retrospective analysis of electronic health records using Natural Language Processing
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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