目的:探讨在原发性高血压患者中,单核细胞绝对值与高密度脂蛋白胆固醇比值(MHR)、中性粒细胞绝对值与淋巴细胞绝对值比值(NLR)及血小板计数与淋巴细胞绝对值的比值(PLR)是否可以预测患病风险。方法:选择了2024年1月1日至2024年3月31日...目的:探讨在原发性高血压患者中,单核细胞绝对值与高密度脂蛋白胆固醇比值(MHR)、中性粒细胞绝对值与淋巴细胞绝对值比值(NLR)及血小板计数与淋巴细胞绝对值的比值(PLR)是否可以预测患病风险。方法:选择了2024年1月1日至2024年3月31日期间在内蒙古自治区人民医院就诊的120名原发性高血压患者作为实验组,同时选取了我院就诊的30例患者为对照组。通过比较两组的一般指标及血清学指标,利用Spearman相关性分析、单因素和多因素Logistic回归分析评估NLR、MHR、PLR与原发性高血压之间的相关性,并绘制了受试者操作特征曲线(ROC)以预测患病风险。结果:实验组在白细胞计数、中性粒细胞绝对值、红细胞计数、血红蛋白含量、血小板计数、甘油三酯、总胆固醇、高密度脂蛋白、低密度脂蛋白胆固醇、NLR、MHR等指标均值高于对照组(P Logistic回归分析表明,MHR及NLR均为原发性高血压发病的独立危险因素。MHR与NLR预测原发性高血压曲线下面积(AUC)分别达到0.755和0.652,两者联合预测AUC为0.813,灵敏度75.0%,特异度83.0%。结论:MHR联合NLR作为新型炎症指标,可用于原发性高血压患病风险的预测。Objective: To investigate whether the ratio of monocyte to high-density lipoprotein cholesterol, neutrophil to lymphocyte, and platelet count to lymphocyte can predict the risk of disease in patients with essential hypertension. Method: A total of 120 patients with primary hypertension who visited the People’s Hospital of Inner Mongolia Autonomous Region from January 1, 2024, to March 31, 2024, were selected as the experimental group, while the control group included 30 healthy patients admitted during the same period. A comparison of the general information and blood test results was conducted for both groups. The relationship between the variables (NLR, MHR, PLR and essential hypertension) was assessed using Spearman correlation analysis, as well as univariate and multivariate logistic regression analysis. Receiver operating characteristic curves were used to predict the risk of hypertension. Results: The experimental group exhibited significantly elevated levels of white blood cells, absolute neutrophils, red blood cells, hemoglobin, platelets, triglycerides, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, NLR, and MHR compared to the control group (P logistic regression revealed that MHR and NLR were identified as significant independent risk factors for hypertension. The area under the curve (AUC) for MHR and NLR in predicting essential hypertension risk were 0.755 and 0.652, respectively. When combined, The area under the curve (AUC) increased to 0.813, with a sensitivity of 75% and a specificity of 83%. Conclusion: This suggests that the combination of MHR and NLR could serve as a novel inflammatory indicator for forecasting hypertension risk.展开更多
文摘目的:探讨在原发性高血压患者中,单核细胞绝对值与高密度脂蛋白胆固醇比值(MHR)、中性粒细胞绝对值与淋巴细胞绝对值比值(NLR)及血小板计数与淋巴细胞绝对值的比值(PLR)是否可以预测患病风险。方法:选择了2024年1月1日至2024年3月31日期间在内蒙古自治区人民医院就诊的120名原发性高血压患者作为实验组,同时选取了我院就诊的30例患者为对照组。通过比较两组的一般指标及血清学指标,利用Spearman相关性分析、单因素和多因素Logistic回归分析评估NLR、MHR、PLR与原发性高血压之间的相关性,并绘制了受试者操作特征曲线(ROC)以预测患病风险。结果:实验组在白细胞计数、中性粒细胞绝对值、红细胞计数、血红蛋白含量、血小板计数、甘油三酯、总胆固醇、高密度脂蛋白、低密度脂蛋白胆固醇、NLR、MHR等指标均值高于对照组(P Logistic回归分析表明,MHR及NLR均为原发性高血压发病的独立危险因素。MHR与NLR预测原发性高血压曲线下面积(AUC)分别达到0.755和0.652,两者联合预测AUC为0.813,灵敏度75.0%,特异度83.0%。结论:MHR联合NLR作为新型炎症指标,可用于原发性高血压患病风险的预测。Objective: To investigate whether the ratio of monocyte to high-density lipoprotein cholesterol, neutrophil to lymphocyte, and platelet count to lymphocyte can predict the risk of disease in patients with essential hypertension. Method: A total of 120 patients with primary hypertension who visited the People’s Hospital of Inner Mongolia Autonomous Region from January 1, 2024, to March 31, 2024, were selected as the experimental group, while the control group included 30 healthy patients admitted during the same period. A comparison of the general information and blood test results was conducted for both groups. The relationship between the variables (NLR, MHR, PLR and essential hypertension) was assessed using Spearman correlation analysis, as well as univariate and multivariate logistic regression analysis. Receiver operating characteristic curves were used to predict the risk of hypertension. Results: The experimental group exhibited significantly elevated levels of white blood cells, absolute neutrophils, red blood cells, hemoglobin, platelets, triglycerides, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, NLR, and MHR compared to the control group (P logistic regression revealed that MHR and NLR were identified as significant independent risk factors for hypertension. The area under the curve (AUC) for MHR and NLR in predicting essential hypertension risk were 0.755 and 0.652, respectively. When combined, The area under the curve (AUC) increased to 0.813, with a sensitivity of 75% and a specificity of 83%. Conclusion: This suggests that the combination of MHR and NLR could serve as a novel inflammatory indicator for forecasting hypertension risk.
