肾病综合征患者血脂代谢紊乱与血胆红素和蛋白代谢指标的相关性分析

目的:研究肾病综合征(NS)患者血脂代谢紊乱与血胆红素和蛋白代谢指标的相关性。方法:纳入我院从2017年5月～2019年5月收治的NS患者50例进行研究,记作病变组,另取同期于我院进行体检的健康人员50例作为健康组。检测两组血脂代谢相关指标甘油三酯(TG)、总胆固醇(TC)、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C)、载脂蛋白A1(ApoA1)、载脂蛋白B(ApoB)]、血胆红素相关指标总胆红素(TBIL)、直接胆红素(DBIL)以及间接胆红素(IBIL)]以及蛋白代谢相关指标血清总蛋白(TP)、血清清蛋白(ALB)、尿微量清蛋白(UALB)]水平并进行对比,予以Pearson相关性分析各指标之间的相关性。结果:病变组TG、TC、LDL-C、ApoA1、ApoB水平均显著高于健康组,而HDL-C水平显著低于健康组(均P0.05)。病变组TBIL、DBIL、IBIL水平均显著低于健康组(均P0.05)。病变组TP、ALB水平均显著低于健康组,而UALB水平显著高于健康组(均P0.05)。经Pearson相关性分析可得:NS患者TG、TC、LDL-C、ApoA1、ApoB与TBIL、DBIL、IBIL、TP、ALB均呈负相关(均P0.05);TG、TC、LDL-C、ApoA1、ApoB与UALB均呈正相关(均P0.05);HDL-C与TBIL、DBIL、IBIL、TP、ALB均呈正相关(均P0.05);HDL-C与UALB呈负相关(均P0.05)。结论:NS患者血脂代谢紊乱和血胆红素、蛋白代谢指标密切相关,血胆红素、蛋白代谢指标可能参与了NS患者血脂代谢紊乱的机制。

Correlation Analysis of Dyslipidemia with Bilirubin and Protein Metabolism in Patients with Nephrotic Syndrome

ABSTRACT Objective: To study the correlation between dyslipidemia with bilirubin and protein metabolism in patients with nephrotic syndrome (NS). Methods: 50 patients with NS who were admitted to our hospital from May 2017 to May 2019 were included in the study, and they were recorded as pathological group. In addition, 50 healthy patients who underwent physical examination in our hospital during the same period were selected as the health group. The blood lipid metabolism related indicators triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB)], blood bilirubin related indicators the total bilirubin (TBIL), direct bilirubin (DBIL) and indirect bilirubin (IBIL)] and protein metabolism related indicators serum total protein (TP), serum albumin (ALB), urine trace albumin (UALB)] levels were detected and compared, Pearson correlation analysis of the correlation between the indicators. Results: TG, TC, LDL-C, ApoA1 and ApoB levels in the pathological group were significantly higher than those in the healthy group, while HDL-C levels were significantly lower than those in the healthy group (all P<0.05). The levels of TBIL, DBIL and IBIL in the pathological group were significantly lower than those in the healthy group (all P<0.05). TP and ALB levels in the pathological group were significantly lower than those in the healthy group, while UALB levels were significantly higher than those in the healthy group (all P<0.05). According to Pearson correlation analysis, TG, TC, LDL-C, ApoA1 and ApoB were negatively correlated with TBIL, DBIL, IBIL, TP and ALB in patients with NS (all P<0.05). TG, TC, LDL-C, ApoA1, ApoB were positively correlated with UALB (all P<0.05). HDL-C were positively correlated with TBIL, DBIL, IBIL, TP and ALB (all P<0.05). There was a negative correlation between HDL-C and UALB (all P<0.05). Conclusion: The dyslipidemia of patients with NS is closely related to the blood bilirubin and protein metabolism index, the blood bilirubin and protein metabolism index may be involved in the mechanism of dyslipidemia in NS patients.