全身炎症反应指数和全身炎症综合指数预测高血压患者颈动脉硬化的价值

Value of systemic inflammation response index and aggregate index of systemic inflammation in predicting carotid atherosclerosis in patients with hypertension

  • 摘要:
    目的 探讨高血压患者全身炎症反应指数(SIRI)和全身炎症综合指数(AISI)与颈动脉硬化风险的相关性。
    方法 回顾性选取254例高血压患者为研究对象。依据是否并发颈动脉硬化将其分为颈动脉硬化组(n=158)和非颈动脉硬化组(n=96), 并依据颈动脉狭窄程度的不同进一步将颈动脉硬化组分为轻度颈动脉狭窄组(n=59)、中度颈动脉狭窄组(n=52)、重度颈动脉狭窄组(n=47)。收集各组患者临床资料,比较患者SIRI和AISI水平; 采用Spearman秩相关分析观察SIRI和AISI与高血压患者并发颈动脉硬化的相关性; 采用Logistic回归分析筛选高血压患者并发颈动脉硬化的独立影响因素; 采用受试者工作特征(ROC)曲线分析SIRI和AISI对高血压患者并发颈动脉硬化的预测价值。
    结果 颈动脉硬化组有糖尿病史的患者占比、中性粒细胞计数、单核细胞计数高于非颈动脉硬化组,淋巴细胞计数低于非颈动脉硬化组,差异有统计学意义(P < 0.05)。与非颈动脉硬化组相比,颈动脉硬化组患者SIRI和AISI水平升高,差异均有统计学意义(P < 0.05)。与非颈动脉硬化组比较,轻度颈动脉狭窄组、中度颈动脉狭窄组、重度颈动脉狭窄组SIRI和AISI升高,差异有统计学意义(P < 0.05), 且SIRI和AISI水平随颈动脉狭窄程度增加而逐渐升高。Spearman秩相关分析结果显示,高血压患者SIRI和AISI与颈动脉硬化和颈动脉狭窄程度均呈正相关(P < 0.001)。多因素Logistic回归分析结果发现,有糖尿病史(OR=3.892, 95%CI: 1.109~13.650)、高中性粒细胞水平(OR=3.461, 95%CI: 1.707~7.018)、高AISI(OR=1.079, 95%CI: 1.052~1.106)、高SIRI(OR=25.912, 95%CI: 2.903~231.260)均为高血压患者并发颈动脉硬化的独立危险因素(P < 0.05)。SIRI和AISI指标联合预测的曲线下面积(AUC)大于SIRI单独预测的AUC, 差异有统计学意义(P < 0.05)。
    结论 SIRI和AISI与高血压患者并发颈动脉硬化风险呈正相关,且SIRI与AISI联合预测的价值优于单一指标。

     

    Abstract:
    Objective To investigate the correlations of the systemic inflammation response index (SIRI) and the aggregate index of systemic inflammation (AISI) with the risk of carotid atherosclerosis in patients with hypertension.
    Methods A total of 254 patients with hypertension were retrospectively selected as the study subjects. They were divided into carotid atherosclerosis group (n=158) and non-carotid atherosclerosis group (n=96) based on the presence of carotid atherosclerosis. The carotid atherosclerosis group was further categorized into mild (n=59), moderate (n=52), and severe (n=47) carotid stenosis subgroups according to the degree of carotid stenosis. Clinical data of patients in each group were collected, and the levels of SIRI and AISI were compared. Spearman rank correlation analysis was used to evaluate the correlation between SIRI, AISI, and the presence of carotid atherosclerosis in patients with hypertension. Logistic regression analysis was performed to identify independent risk factors for carotid atherosclerosis in patients with hypertension. Receiver operating characteristic (ROC) curve analysis was employed to assess the predictive value of SIRI and AISI for carotid atherosclerosis in patients with hypertension.
    Results The proportion of patients with a history of diabetes, neutrophil count, and monocyte count were higher in the carotid atherosclerosis group than in the non-carotid atherosclerosis group, while the lymphocyte count was lower, with statistically significant differences (P < 0.05). Compared with the non-carotid atherosclerosis group, the levels of SIRI and AISI were elevated in the carotid atherosclerosis group, with statistically significant differences (P < 0.05). Similarly, the mild, moderate, and severe carotid stenosis subgroups showed higher SIRI and AISI levels compared with the non-carotid atherosclerosis group, with statistically significant differences (P < 0.05). Moreover, the levels of SIRI and AISI gradually increased with the severity of carotid stenosis. Spearman rank correlation analysis revealed positive correlations between SIRI, AISI, and both carotid atherosclerosis and the degree of carotid stenosis in patients with hypertension (P < 0.001). Multivariate Logistic regression analysis identified a history of diabetes (OR=3.892, 95%CI, 1.109 to 13.650), high neutrophil levels (OR=3.461, 95%CI, 1.707 to 7.018), high AISI (OR=1.079, 95%CI, 1.052 to1.106), and high SIRI (OR=25.912, 95%CI, 2.903 to 231.260) as independent risk factors for carotid atherosclerosis in patients with hypertension (P < 0.05). The area under the curve (AUC) for combined prediction of SIRI and AISI was higher than that for SIRI alone, with a statistically significant difference (P < 0.05).
    Conclusion SIRI and AISI are positively correlated with the risk of carotid atherosclerosis in patients with hypertension. The combined predictive value of SIRI and AISI is superior to that of either index alone.

     

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