Open AccessAlgorithm for predicting cardiovascular events in low/moderate risk patients using traditional and new factors: data from 10-year follow-up study
Author(s) -
М Д Смирнова,
О Н Свирида,
Т.В. Фофанова,
З Н Бланкова,
Е. Б. Яровая,
Ф Т Агеев
Publication year - 2021
Publication title -
kardiovaskulârnaâ terapiâ i profilaktika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.158
H-Index - 16
eISSN - 2619-0125
pISSN - 1728-8800
DOI - 10.15829/1728-8800-2021-2799
Subject(s) - medicine , pulse wave velocity , confidence interval , unstable angina , blood pressure , myocardial infarction , cardiology , odds ratio , pulse pressure , stroke (engine) , mechanical engineering , engineering
Aim. To create an advanced algorithm for predicting cardiovascular events (CVE) in low/moderate risk patients using a complex of traditional and new factors. Material and methods. The study included 700 patients with Systematic Coronary Risk Evaluation (SCORE) 130 mmHg (odds ratio (OR), 1,9 (95% confidence interval (CI), 1,0-3,6)), hsCRP >2,3 mg/L (OR, cardio-ankle vascular index (CAVI) >8,05 (OR, 1,25 (95% CI, 1,0-1,6)). In patients with a combination of ≥2 lipid profile abnormalities, SBP >130 mm Hg, hsCRP >2,3 mg/L and pulse wave velocity >13 m/s, the probability of developing CVEs (including cardiovascular death) increases 3,55 times (95% CI, 1,32-7,67). Conclusion . Levels of pulse wave velocity, CAVI, urea and hsCRP should be considered as additional risk factors for CVE in patients with low/moderate risk, estimated using standard scales. Combinations of traditional and new risk factors demonstrate a cumulative effect.