IgA肾病患者不同慢性肾脏病分期中的肾损伤指标变化分析

Renal injury indices in IgA nephropathy patients with different stages of chronic kidney disease

  • 摘要:
      背景  慢性肾脏病(chronic kidney disease,CKD)不同分期与其治疗及预后存在密切关系,常见肾损伤指标随CKD分期变化的表达情况鲜有研究。
      目的  探讨尿液α1微球蛋白(α1-microglobulin,α1-MG)、血清β2微球蛋白(β2-microglobulin,β2-MG)、胱抑素C(cystatin C,CysC)、血尿素氮(blood urea nitrogen,BUN)和血清肌酐(serum creatinine,Scr)在IgA肾病不同CKD分期的表达情况。
      方法   病例组选择2019年10月- 2020年10月于解放军总医院第一医学中心肾内科病理诊断为IgA肾病的CKD患者120例,G1 ~ G5每个分期20例,健康对照组40例。分别对各组的α1-MG、β2-MG、CysC、BUN和Scr水平进行检测,对病例组各指标随CKD分期进展的变化进行相关性分析。
      结果  病例组男性68例,女性52例,年龄21 ~ 78(47.3±15.2)岁;对照组男性22例,女性18例,年龄24 ~ 77(43.5±15.8)岁。两组性别、年龄构成差异无统计学意义(P>0.05)。病例组G1 ~ G5各期尿液α1-MG均高于对照组(P<0.05);相邻分期间比较,G5较G4升高,差异有统计学意义(P<0.05)。病例组G1 ~ G5各期血清β2-MG均高于对照组(P<0.05);相邻分期间比较,G3a较G2、G3b较G3a、G4较G3b、G5较G4均升高,差异有统计学意义(P均<0.01)。病例组G1 ~ G5各期CysC均高于对照组(P<0.05);相邻分期间比较,G2较G1、G3a较G2、G3b较G3a、G4较G3b、G5较G4均升高,差异有统计学意义(P均<0.01)。病例组G2 ~ G5期BUN和Scr均高于对照组(P<0.05);相邻分期间比较G2较G1、G3a较G2、G3b较G3a、G4较G3b,G5较G4均升高,差异有统计学意义(P均<0.01)。Pearson相关性分析显示,尿液α1-MG、血清β2-MG、CysC、BUN、Scr与估算肾小球滤过率均呈负相关(r=-0.611、-0.651、-0.722、-0.717、-0.679,P均<0.05),相关性较高。
      结论  在CKD发展进程中,尿液α1-MG、血清β2-MG、CysC、BUN 和 Scr能够作为疾病发展和治疗的评价指标,尤其是CysC,在各分期中差异均有统计学意义,是5个指标中最理想的一个。新的CKD分期将G3分为G3a和G3b是合理的。

     

    Abstract:
      Background   Different stages of chronic kidney disease (CKD) is closely associated with its treatment and prognosis, but few studies have explored the changes of renal injury indices in different CKD stages.
      Objective   To investigate the expression levels of urine α1-microglobulin (α1-MG), serum β2-microglobulin (β2-MG), cystatin C (CysC), blood urea nitrogen (BUN), and serum creatinine (SCr) in different CKD stages of IgA nephropathy.
      Methods  From October 2019 to October 2020, 120 CKD patients who were diangosed with IgA nephropathy based on pathological results in the department of nephrology, the First Medical Center of Chinese PLA General Hospital, were enrolled as case group, and according to the CKD stage, they were further divided into G1, G2, G3, G4, and G5 subgroups, with 20 patients in each subgroup. Another 40 healthy individuals were enrolled as healthy control group. The levels of α1-MG, β2-MG, CysC, BUN, and SCr were measured for each group, and the correlation of each index with CKD stage (estimated glomerular filtration rate eGFR) was analyzed for the case group.
      Results   In the case group, there were 68 male patients and 52 female patients, with a mean age of 47.3±15.2 years (range 21-78 years), and in the control group, there were 22 male individuals and 18 female individuals, with a mean age of 43.5±15.8 years (range 24-77 years). There were no significant differences in sex composition and age composition between the two groups (P>0.05). All subgroups of the case group had a significantly higher level of urine α1-MG than the control group (P<0.05), and comparison between subgroups showed that the G5 subgroup had a significant increase than the G4 group (P<0.05). All subgroups of the case group had a significantly higher serum level of β2-MG than the control group (P<0.05), and comparison between subgroups showed that the G3a, G3b, G4, and G5 subgroup had a significantly higher level than the G2, G3a, G3b, and G4 subgroups, respectively (all P<0.01). All subgroups of the case group had a significantly higher level of CysC than the control group (P<0.05), and comparison between subgroups showed that the G2, G3a, G3b, G4, and G5 subgroups had a significantly higher level than the G1, G2, G3a, G3b, and G4 subgroups, respectively (all P<0.01). The G2, G3, G4, and G5 subgroups of the case group had significantly higher levels of BUN and SCr than the control group (P<0.05), and comparison between subgroups showed that the G2, G3a, G3b, G4, and G5 subgroups were significantly higher than the G1, G2, G3a, G3b, and G4 subgroups, respectively (all P<0.01). Pearson correlation analysis showed that urine α1-MG, serum β2-MG, CysC, BUN, and SCr were negatively correlated with eGFR (r = -0.611, -0.651, -0.722, -0.717, and -0.679, all P<0.05).
      Conclusion   During the progression of CKD, urine α1-MG, serum β2-MG, CysC, BUN, and SCr can be used as the evaluation indices for disease progression and treatment, especially CysC, which shows a significant difference between stages and is thus the most ideal index among the five indices. It is reasonable to classify stage G3 into stages G3a and G3b in the new staging system.

     

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