Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/186586
Title: 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
Author: González Juanatey, Carlos
Anguita, Manuel
Barrios, Vivencio
Núñez Gil, Iván
Gómez-Doblas, Juan José
García-Moll, Xavier
Lafuente-Gormaz, Carlos
Rollán Gómez, Maria Jesús
Peral-Disdie, Vicente
Martínez-Dolz, Luis
Rodríguez Santamarta, Miguel
Viñolas-Prat, Xavier
Soriano-Colomé, Toni
Muñoz-Aguilera, Roberto
Plaza, Ignacio
Curcio-Ruigómez, Alejandro
Orts-Soler, Ernesto
Segovia, Javier
Maté, Claudia
Cequier Fillat, Àngel R.
Keywords: Tractament del llenguatge natural (Informàtica)
Diabetis
Avaluació de l'assistència mèdica
Natural language processing (Computer science)
Diabetes
Medical care evaluation
Issue Date: 10-Feb-2022
Publisher: Public Library of Science (PLoS)
Abstract: Introduction 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.
Note: Reproducció del document publicat a: https://doi.org/10.1371/journal.pone.0263277
It is part of: PLoS One, 2022, vol. 17, num. 2, p. e0263277
URI: http://hdl.handle.net/2445/186586
Related resource: https://doi.org/10.1371/journal.pone.0263277
ISSN: 1932-6203
Appears in Collections:Articles publicats en revistes (Ciències Clíniques)
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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