Predicting mortality and
non-fatal cardiovascular events in patients with stable coronary heart disease
Panakhova D.Z., Mammaev S.N.
Objective. The aim of the study was to identify the factors,
associated with poor prognosis in patients with stable coronary heart disease
(CHD), and to build a statistically validated model for predicting the risk of
mortality and non-fatal cardiovascular events (CVEs) in patients with stable
CHD.
Methods. This retrospective observational cohort study
included 85 patients, admitted to the Dagestan Center of Cardiology and
Cardiovascular Surgery for planned inpatient treatment from 01.01.2015 to
31.12.2017 and with a giagnosis of stable exertional angina. The data were collected from patients’
medical records and their long-term outcomes were consequently verified.
Simultaneously, a telephone contact was established with enrolled patients to
ascertain vital status and to record cardiovascular events. The patients were
invited for reassessment, which included clinical and anamnestic data,
laboratory and instrumental diagnostics. For the prognostic model, binary
logistic regression was used to evaluate the impact of certain factors on the
probability of adverse outcomes development.
Results. Over the 4-year period of observation, 5.9%
(5 people) of 85 patients died. In 84.7% (72 patients) of all cases,
admission due to CHD worsening was registered. In 15.3% of patients (13
people), the primary composite endpoint, which included all-cause mortality and
CVE development, was reached. The prognostic model for evaluation of
probability of reaching the primary endpoint, depending on the influence of
variable factors was built. The most significant factors included: hematocrit,
echocardiographic left atrial volume, and coronographic
chronic occlusion of the left circumflex artery. The obtained model was proven
statistically significant (p<0,01), and had high
sensitivity (85.7%) and specificity (97.4%).
Conclusion. In this study, certain factors that contribute to the
risk of death and non-fatal CVEs in patients with stable CHD were identified.
This allowed for the development of a prognostic model to estimate these risks
and facilitate the further implementation of secondary prevention measures in
clinical practice.
Keywords: coronary heart disease, stable exertional
angina, cardiovascular events, life expectancy, survival.
For citation: Panakhova D.Z., Mammaev S.N. Predicting mortality and non-fatal
cardiovascular events in patients with stable coronary heart disease. International
Journal of Heart and Vascular
Diseases. 2026; 14(49):20-27. DOI:
10.24412/2311-1623-2026-49-25-34