000135917 001__ 135917
000135917 005__ 20240627150548.0
000135917 0247_ $$2doi$$a10.3390/jcm13102887
000135917 0248_ $$2sideral$$a138949
000135917 037__ $$aART-2024-138949
000135917 041__ $$aeng
000135917 100__ $$aRuiz-Belmonte, Lara M.$$uUniversidad de Zaragoza
000135917 245__ $$aPredictive score for advanced colorectal neoplasia based on cardiovascular and colorectal cancer risk factors
000135917 260__ $$c2024
000135917 5060_ $$aAccess copy available to the general public$$fUnrestricted
000135917 5203_ $$aBackground and Aims: Cardiovascular disease and colorectal cancer (CRC) are significant health problems and share some risk factors. The aim of our study was to develop and validate a predictive score for advanced colorectal neoplasia (CRN) based on risk factors for cardiovascular disease and CRC. Materials and Methods: A cross-sectional study comprising a derivation cohort and an external validation cohort of 1049 and 308 patients, respectively. A prediction score for advanced CRN (CRNAS: Colorectal Neoplasia Advanced Score) was developed from a logistic regression model, comprising sex, age, first-degree family history for CRC, systolic and diastolic blood pressure, total cholesterol, HDL cholesterol, body mass index, diabetes, smoking, and antihypertensive treatment. Other cardiovascular risk scores (Framingham–Wilson, REGICOR, SCORE, and FRESCO) were also used to predict the risk of advanced CRN. The discriminatory capacity of each score was evaluated using the area under the curve (AUC). Results: CRN were found in 379 subjects from the derivation cohort (36%), including 228 patients (22%) with an advanced CRN. Male sex, age, diabetes, and smoking were identified as independent risk factors for advanced CRN. The newly created score (CRNAS) showed an AUC of 0.68 (95% CI: 0.64–0.73) for advanced CRN, which was better than cardiovascular risk scores (p < 0.001). In the validation cohort, the AUC of CRNAS for advanced CRN was 0.67 (95% CI: 0.57–0.76). Conclusions: The newly validated CRNAS has a better discriminatory capacity to predict advanced CRN than cardiovascular scores. It may be useful for selecting candidates for screening colonoscopy, especially in those with cardiovascular risk factors.
000135917 536__ $$9info:eu-repo/grantAgreement/ES/IISAragón/GIIS-027
000135917 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000135917 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000135917 700__ $$aCarrera-Lasfuentes, Patricia
000135917 700__ $$0(orcid)0000-0002-3312-7759$$aCebollada-Solanas, Alberto
000135917 700__ $$aScarpignato, Carmelo
000135917 700__ $$0(orcid)0000-0001-5932-2889$$aLanas, Ángel$$uUniversidad de Zaragoza
000135917 700__ $$0(orcid)0000-0002-3545-2707$$aGargallo-Puyuelo, Carla J.$$uUniversidad de Zaragoza
000135917 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000135917 773__ $$g13, 10 (2024), 2887 [12 pp.]$$pJ. clin.med.$$tJournal of Clinical Medicine$$x2077-0383
000135917 8564_ $$s798670$$uhttps://zaguan.unizar.es/record/135917/files/texto_completo.pdf$$yVersión publicada
000135917 8564_ $$s2661359$$uhttps://zaguan.unizar.es/record/135917/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000135917 909CO $$ooai:zaguan.unizar.es:135917$$particulos$$pdriver
000135917 951__ $$a2024-06-27-13:20:37
000135917 980__ $$aARTICLE