双能X线吸收法测量的内脏脂肪面积与维持性血液透析患者冠状动脉钙化严重程度的关系OA
Relationship between visceral fat area measured by dual-energy X-ray absorptiometry and coronary artery calcification severity in maintenance hemodialysis patients
目的 探讨基于双能X线吸收法(DXA)测量的内脏脂肪面积(VFA)与维持性血液透析(MHD)患者冠状动脉钙化(CAC)严重程度的关系.方法 选取接受MHD治疗的283例患者作为研究对象,均接受DXA身体成分测量和冠状动脉钙化积分(CACS)评估.根据CACS的不同将患者分为低钙化程度组(CACS<100,n=107)和高钙化程度组(CACS≥100,n=176),比较2组患者的一般资料、实验室检查结果及身体成分参数.采用单因素及多因素Logistic回归模型分析MHD患者高钙化程度(CACS≥100)的影响因素;绘制受试者工作特征(ROC)曲线,计算曲线下面积(AUC),评估各独立影响因素对高钙化程度的预测效能.结果 高钙化程度组男性占比、平均年龄高于低钙化组,透析龄长于低钙化组,VFA、全身脂肪百分比、腹部脂肪与臀部脂肪比值(A/G)均高于低钙化程度组,差异有统计学意义(P<0.05).单因素Logistic回归分析显示,性别(OR=1.810,95%CI:1.103~2.971,P=0.019)、年龄(OR=1.067,95%CI:1.044~1.091,P<0.001)、透析龄(OR=1.011,95%CI:1.006~1.015,P<0.001)、VFA(OR=1.029,95%CI:1.021~1.036,P<0.001)、全身脂肪百分比(OR=1.132,95%CI:1.094~1.172,P<0.001)、A/G(OR=35.575,95%CI:13.173~96.074,P<0.001)均为 MHD 患者高钙化程度的影响因素;多因素Logistic回归分析显示,性别(OR=3.141,95%CI:1.231~8.015,P=0.017)、透析龄(OR=1.008,95%CI:1.003~1.013,P=0.003)、VFA(OR=1.016,95%CI:1.002~1.030,P=0.028)、全身脂肪百分比(OR=1.089,95%CI:1.015~1.167,P=0.017)均为MHD患者高钙化程度的独立影响因素.ROC曲线显示,VFA预测MHD患者高钙化程度的 AUC 为 0.827(95%CI:0.778~0.876,P<0.001),最佳临界值为 125.1 cm2,灵敏度为 71.6%,特异度为 80.4%;性别、透析龄、VFA、全身脂肪百分比联合预测的AUC升至0.861(95%CI:0.817~0.904),优于各单一指标.结论 基于DXA测量的VFA与MHD患者CAC严重程度呈正相关,VFA较大是高钙化程度(CACS≥100)的独立危险因素.采用DXA测量的VFA有望成为MHD患者心血管风险评估的新型辅助指标.
Objective To investigate the relationship between visceral fat area(VFA)measured by dual-energy X-ray absorptiometry(DXA)and coronary artery calcification(CAC)severity in ma-intenance hemodialysis(MHD)patients.Methods A total of 283 MHD patients who underwent DXA body composition assessment and coronary artery calcium score(CACS)evaluation were enrolled.Patients were divided into low calcification group(CACS<100,n=107)and high calcification group(CACS 100,n=176)according to CACS.General characteristics,laboratory results,and body composi-tion parameters were compared between the two groups.Univariate and multivariate Logistic regres-sion models were used to analyze influencing factors of high calcification degree(CACS ≥100).Re-ceiver operating characteristic(ROC)curves were plotted,and the area under the curve(AUC)was calculated to evaluate the predictive performance of independent influencing factors.Results The high calcification group had significantly higher male proportion,age,dialysis vintage,VFA,total body fat percentage,and trunk-to-hip fat ratio(A/G)than the low calcification group(P<0.05).Univariate Logistic regression analysis showed that sex(OR=1.810,95%CI,1.103 to 2.971,P=0.019),age(OR=1.067,95%CI,1.044 to 1.091,P<0.001),dialysis vintage(OR=1.011,95%CI,1.006 to 1.015,P<0.001),VFA(OR=1.029,95%CI,1.021 to 1.036,P<0.001),total body fat percentage(OR=1.132,95%CI,1.094 to 1.172,P<0.001),and A/G(OR=35.575,95%CI,13.173 to 96.074,P<0.001)were all influencing factors for high cal-cification degree.Multivariate Logistic regression analysis revealed that sex(OR=3.141,95%CI,1.231 to 8.015,P=0.017),dialysis vintage(OR=1.008,95%CI,1.003 to 1.013,P=0.003),VFA(OR=1.016,95%CI,1.002 to 1.030,P=0.028),and total body fat percentage(OR=1.089,95%CI,1.015 to 1.167,P=0.017)were independent influencing factors.ROC curve analysis showed that AUC of VFA in predicting high calcification degree was 0.827(95%CI,0.778 to 0.876,P<0.001),with an optimal cutoff value of 125.1 cm2,a sensitivity of 71.6%,and a specificity of 80.4%.The combined model of sex,dialysis vintage,VFA,and total body fat percentage achieved an AUC of 0.861(95%CI,0.817 to 0.904),and was better than any single indicator.Conclusion VFA measured by DXA is positively correlated with CAC severity in MHD patients.Elevated VFA is an independent risk factor for high calcification degree(CACS≥100).DXA-measured VFA may serve as a novel auxiliary indicator for cardiovascular risk assessment in MHD patients.
陈鹏辉;王峰
南京医科大学第二附属医院核医学科,江苏南京,210011南京医科大学附属南京医院/南京市第一医院核医学科,江苏南京,210006
医药卫生
双能X线吸收法维持性血液透析内脏脂肪面积冠状动脉钙化冠状动脉钙化积分心血管疾病Logistic回归模型受试者工作特征曲线
dual-energy X-ray absorptiometrymaintenance hemodialysisvisceral fat areacoronary artery calcificationcoronary artery calcium scorecardiovascular diseaselogistic regres-sion modelreceiver operating characteristic curve
《实用临床医药杂志》 2026 (10)
32-37,6
江苏省医学重点学科建设单位项目(JSDW202247)
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