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Abstract：
BACKGROUND: The incidence of coronary heart disease (CHD) in youth is rapidly increasing but difficultly recognized in the early stage.
RESULTS: In 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.
CONCLUSIONS: SII 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.
RESULTS: In 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.
CONCLUSIONS: SII 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.
摘要：
背景：青年冠心病（CHD）的发病率正在迅速增加，但在早期阶段很难被识别。
结果：在这项回顾性研究中，纳入了194名45岁以下的CHD患者，这些患者先前有胸痛症状，以及170名非CHD患者，并收集了人口统计学数据。年轻冠心病患者的全身炎症指数（SII）和全身炎症反应指数（SIRI）升高（p<001）。Spearman相关分析显示,SII和SIRI均与HDL呈负相关,与高血压呈正相关,Gensini得分,和hsTnI。Logistic回归分析显示，SII和SIRI与有胸痛症状的青年冠心病的存在独立相关。年轻冠心病患者SII模型的ROC曲线下面积(AUC)为0.805(0.728-0.869),敏感性和特异性分别为0.65和0.823。同时,SIRI模型的AUC为0.812（0.739-0.872），敏感性和特异性分别为0.673和0.8022。SII和SIRI模型的校准曲线均与实际曲线吻合良好。两种模型的决策曲线表明了它们的临床实用性。
结论：SII和SIRI是年轻人冠心病的独立危险因素，可以快速有效地识别先前经历过胸痛症状的年轻人中的冠心病患者。
结果：在这项回顾性研究中，纳入了194名45岁以下的CHD患者，这些患者先前有胸痛症状，以及170名非CHD患者，并收集了人口统计学数据。年轻冠心病患者的全身炎症指数（SII）和全身炎症反应指数（SIRI）升高（p<001）。Spearman相关分析显示,SII和SIRI均与HDL呈负相关,与高血压呈正相关,Gensini得分,和hsTnI。Logistic回归分析显示，SII和SIRI与有胸痛症状的青年冠心病的存在独立相关。年轻冠心病患者SII模型的ROC曲线下面积(AUC)为0.805(0.728-0.869),敏感性和特异性分别为0.65和0.823。同时,SIRI模型的AUC为0.812（0.739-0.872），敏感性和特异性分别为0.673和0.8022。SII和SIRI模型的校准曲线均与实际曲线吻合良好。两种模型的决策曲线表明了它们的临床实用性。
结论：SII和SIRI是年轻人冠心病的独立危险因素，可以快速有效地识别先前经历过胸痛症状的年轻人中的冠心病患者。
