
AbstractBackgroundThe incidence of coronary heart disease (CHD) in youth is rapidly increasing but difficultly recognized in the early stage.Methods and ResultsIn this retrospective study, 194 CHD patients under the age of 45 who previously experienced chest pain symptoms and 170 non‐CHD patients were included and demographic data were collected. Systemic inflammation index (SII) and systemic inflammation response index (SIRI) were increased in young CHD patients (p < 001). Spearman's correlation analysis showed that both SII and SIRI were negatively correlated with HDL and positively correlated with hypertension, Gensini score, and hsTnI. Logistic regression analysis indicated that SII and SIRI were independently associated with the presence of CHD in youth with chest pain symptoms. The area under the ROC curve (AUC) of the SII model for young CHD patients was 0.805 (0.728−0.869), and the sensitivity and specificity were 0.65 and 0.823, respectively. Meanwhile, the AUC for the SIRI model was 0.812 (0.739−0.872), and the sensitivity and specificity were 0.673 and 0.8022. The calibration curves of both SII and SIRI models are in good agreement with the actual curves. And the decision curves of both models indicated their clinical practicality.ConclusionSII and SIRI are independent risk factors for CHD in young adults, which can quickly and effectively identify CHD patients among young adults who have previously experienced chest pain symptoms.
young adults, Male, Inflammation, Adult, Chest Pain, Adolescent, systemic inflammation response index, Coronary Disease, RC581-607, Young Adult, ROC Curve, Risk Factors, systemic inflammation index, Humans, Original Article, Female, coronary heart disease, Immunologic diseases. Allergy, Biomarkers, Retrospective Studies
young adults, Male, Inflammation, Adult, Chest Pain, Adolescent, systemic inflammation response index, Coronary Disease, RC581-607, Young Adult, ROC Curve, Risk Factors, systemic inflammation index, Humans, Original Article, Female, coronary heart disease, Immunologic diseases. Allergy, Biomarkers, Retrospective Studies
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