北京大学学报(医学版) ›› 2025, Vol. 57 ›› Issue (2): 284-290. doi: 10.19723/j.issn.1671-167X.2025.02.010

• 论著 • 上一篇    下一篇

链球菌感染与过敏性紫癜肾炎患儿肾损害的相关性

王紫薇1, 李闵1, 高慧1,2, 邓芳1,2,3,*()   

  1. 1. 安徽医科大学第一附属医院儿科,合肥 230032
    2. 出生人口健康教育部重点实验室,合肥 230032
    3. 安徽省立儿童医院儿童肾脏内科,合肥 230051
  • 收稿日期:2021-08-04 出版日期:2025-04-18 发布日期:2025-04-12
  • 通讯作者: 邓芳 E-mail:doczhhxyy@yeah.net
  • 基金资助:
    安徽省重点研究与开发计划(202004j07020028)

Correlation between streptococcal infection and renal damage in children with Henoch-Schönlein purpura nephritis

Ziwei WANG1, Min LI1, Hui GAO1,2, Fang DENG1,2,3,*()   

  1. 1. Department of Pediatrics, the First Affiliated Hospital of Anhui Medical University, Hefei 230032, China
    2. Key Laboratory of Ministry of Education for Birth Population Health, Hefei 230032, China
    3. Department of Nephrology, Anhui Provincial Children's Hospital, Hefei 230051, China
  • Received:2021-08-04 Online:2025-04-18 Published:2025-04-12
  • Contact: Fang DENG E-mail:doczhhxyy@yeah.net
  • Supported by:
    the Key Research and Development Projects of Anhui Province(202004j07020028)

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摘要:

目的: 探讨链球菌(Streptococcus)感染是否有可能加重过敏性紫癜肾炎患儿的肾损害及可能机制。方法: 回顾性分析2015年7月至2019年12月在安徽医科大学第一附属医院确诊为过敏性紫癜肾炎的485例儿童的临床资料。根据出院诊断是否合并链球菌感染分为两组, 合并链球菌感染组(实验组)91例患儿, 对照组394例患儿。通过人工神经网络初步挑选合适的测试项目, 再采用SPSS 23.0统计软件进行数据分析。结果: 两组患儿在尿蛋白、肝肾功能、免疫球蛋白和补体的检测项目上的差异均有统计学意义, 其中抗链球菌溶血素O与IgG(Spearman r=-0.328)、纤维蛋白降解产物(Spearman r=-0.207)、总蛋白(Spearman r=-0.202)和球蛋白(Spearman r=-0.223)均呈轻度相关性。两组患儿在平均年龄(P=0.001)、IgG(P<0.001)、纤维蛋白降解产物(P=0.019)、血清总蛋白(P<0.001)、球蛋白(P<0.001)、IgA(P<0.001)、IgM(P=0.003)、补体C3(P=0.016)、补体C4(P=0.002)、白蛋白/球蛋白比例(P=0.007)、血清碱性磷酸酶(P=0.036)和估计肾小球滤过率(estimated glomerular filtration rate, eGFR, P=0.039)的平均水平上差异均有统计学意义。为研究过敏性紫癜肾炎患儿肾损伤的危险因素, 将抗链球菌溶血素O、年龄、免疫球蛋白和补体作为自变量, 尿蛋白检测参数和肝肾功能作为因变量做Logistic回归分析, 年龄≤10岁和低补体血症可能是过敏性紫癜肾炎患儿加重肾损害的危险因素。结论: 链球菌感染可能会加重过敏性紫癜肾炎患儿的肾损害, 其中低补体血症、炎症、纤维蛋白溶解和凝血异常可能起重要作用。合并链球菌感染的患儿临床上应及时进行抗感染治疗, 出院后应定期随访。

关键词: 过敏性紫癜肾炎, 链球菌感染, 肾损害, 儿童

Abstract:

Objective: To explore whether streptococcal infection may aggravate renal damage in children with Henoch-Schönlein purpura nephritis and its possible mechanism. Methods: In the study, 485 children diagnosed with Henoch-Schönlein purpura nephritis from July 2015 to December 2019 were selected to analyze their clinical data retrospectively. According to the diagnosis of discharge, whether it was combined with streptococcal infection, the children were divided into two groups. The experimental group contained 91 children with Henoch-Schönlein purpura nephritis combined with streptococcal infection, and there were 394 children who were not infected with Streptococcus in the control group. Suitable test items were preliminarily selected through artificial neural network, and then data analysis was performed through SPSS 23.0. Results: The children with Henoch-Schönlein purpura nephritis infected with streptococcus had statistically significant differences compared with the uninfected children in the test items of urine protein, liver and kidney function, immunoglobulin and complement. Anti-streptolysin O had mild correlation with IgG (Spearman r=-0.328), fibrin degradation products (Spearman r=-0.207), total protein (Spearman r=-0.202) and globulin (Spearman r=-0.223). Compared with the children who were not infected with streptococcus, the differences of the average levels of age (P=0.001), IgG (P < 0.001), fibrin degradation products (P=0.019), total protein (P < 0.001), globulin (P < 0.001), IgA (P < 0.001), IgM (P=0.003), complement 3 (P=0.016), complement 4 (P=0.002), albumin/globulin ratio (P=0.007), alkaline phosphatase (P=0.036), and estimated glomerular filtration rate (P=0.039) in the infected children were statistically significant. In order to explore the risk factors of kidney damage in the children with Henoch-Schönlein purpura nephritis, Logistic regression was performed using anti-streptolysin O, age, immunoglobulin and complement as independent variables, urine protein detection parameters, liver and kidney functions as dependent variables. Age ≤10 years old and hypocomplementemia might be risk factors for aggravating renal damage in the children with Henoch-Schönlein purpura nephritis. Conclusion: Streptococcal infections may aggravate renal damage in children with Henoch-Schönlein purpura nephritis, in which hypocomplementemia, inflammation, fibrinolysis and disorders of coagulation perhaps play an important role. Children with streptococcal infection should be treated with anti-infective treatment in time and necessarily, and followed up after discharge regularly.

Key words: Henoch-Schönlein purpura nephritis, Streptococcal infections, Renal damage, Child

中图分类号: 

  • R726.9

图1

人工神经网络模型"

表1

HSPN患儿的临床特征"

Feature Total(n=485) HSPN-ASO+(n=91) HSPN-ASO-(n=394) χ2/t P
Gender, n (%) 2.719 0.099
  Male 288 (59.38) 61 (67.03) 227 (57.61)
  Female 197 (40.62) 30 (32.97) 167 (42.39)
Age/years, ${\bar x}$±s 8.67±3.19 9.64±3.19 8.42±3.18 3.297 0.001
Purpura, n (%) 485 (100.00) 91 (100.00) 394 (100.00)
Joint pain/Edema, n (%) 97 (20.00) 24 (26.37) 73 (18.53) 2.804 0.094
Abdominal pain/Gastrointestinal reaction, n (%) 94 (19.38) 17 (18.68) 77 (19.51) 0.039 0.843
Kidney damage, n (%) 485 (100.00) 91 (100.00) 394 (100.00)

图2

不同测试项目的分类准确率"

表2

ASO和免疫球蛋白及补体的Mann-Whitney U检验、Spearman秩相关和人工神经网络分类准确率"

Items HSPN-ASO+ HSPN-ASO- Spearman r Classification accuracy/%
Number of cases 86 368
IgG/(g/L), ${\bar x}$±s 11.42±3.64* 8.49±2.70 -0.328# 66.356
IgA/(g/L), ${\bar x}$±s 2.40±0.84* 2.07±0.90 -0.157# 60.523
IgM/(g/L), ${\bar x}$±s 1.32±0.41* 1.21±0.52 -0.138# 57.475
IgE/(IU/L), ${\bar x}$±s 118.87±171.61 111.24±165.43 0.023 48.466
C3/(g/L), ${\bar x}$±s 1.12±0.25* 1.18±0.20 0.116# 58.443
C4/(g/L), ${\bar x}$±s 0.22±0.11* 0.25±0.09 0.142# 57.964

表3

ASO和尿蛋白检验相关性的Mann-Whitney U检验、Spearman秩相关和人工神经网络分类准确率"

Items HSPN-ASO+ HSPN-ASO- Spearman r Classification accuracy/%
Number of cases 25 105
Transferrin/(mg/L), ${\bar x}$±s 22.87±27.35 26.37±29.00 0.014 56.586
Retinol binding protein/(mg/L), ${\bar x}$±s 0.26±0.16 0.31±0.29 0.008 53.605
NAG/(U/L), ${\bar x}$±s 9.52±10.78 11.80±11.07 0.152 57.871
Albumin/(mg/L), ${\bar x}$±s 351.16±493.69 449.35±560.77 0.045 61.158
IgG/(mg/L), ${\bar x}$±s 40.77±86.83 43.17±84.61 0.091 59.135
FDP/(mg/L), ${\bar x}$±s 0.37±0.24* 0.25±0.18 -0.207# 61.960
Cystatin C/(mg/L), ${\bar x}$±s 0.15±0.09 0.20±0.13 0.155 64.374
Urine creatinine/(mmol/L), ${\bar x}$±s 8.17±4.15 9.32±4.47 0.105 53.544
β2-microglobulin/(mg/L), ${\bar x}$±s 0.40±0.24 0.52±0.48 0.007 60.343
α1-microglobulin/(mg/L), ${\bar x}$±s 8.02±9.09 9.00±10.22 0.096 58.065

表4

ASO和肝肾功能的Mann-Whitney U检验、Spearman秩相关和人工神经网络分类准确率"

Items HSPN-ASO+ HSPN-ASO- Spearman r Classification accuracy/%
Number of cases 59 288
Total protein/(g/L), ${\bar x}$±s 71.81±5.93* 68.03±6.78 -0.202# 60.029
ALB/(g/L), ${\bar x}$±s 43.11±3.60 42.29±4.51 -0.062 52.104
GLO/(g/L), ${\bar x}$±s 28.70±5.72* 25.71±3.76 -0.223# 61.887
ALB/GLO, ${\bar x}$±s 1.56±0.35* 1.67±0.25 0.145# 56.768
TBIL/(μmol/L), ${\bar x}$±s 10.03±4.09 9.39±3.74 -0.044 51.106
DBIL/(μmol/L), ${\bar x}$±s 3.39±1.48 3.14±1.42 -0.055 51.219
IBIL/(μmol/L), ${\bar x}$±s 6.65±2.83 6.26±2.58 -0.040 50.297
ALT/(U/L), ${\bar x}$±s 16.27±10.52 17.55±13.16 0.024 50.734
AST/(U/L), ${\bar x}$±s 20.42±8.10 19.99±6.67 -0.017 49.098
ALP/(U/L), ${\bar x}$±s 194.17±60.94* 178.39±70.48 -0.113# 54.103
GGT/(U/L), ${\bar x}$±s 12.59±7.44 13.35±7.96 0.043 50.228
LDH/(U/L), ${\bar x}$±s 229.07±45.96 244.68±71.08 0.064 52.202
PALB/(mg/L), ${\bar x}$±s 233.36±76.15 251.71±92.74 0.063 51.509
TBA/(μmol/L), ${\bar x}$±s 4.37±3.32 4.97±3.99 0.050 51.243
Urea/(mmol/L), ${\bar x}$±s 4.42±1.63 4.21±1.20 -0.031 49.655
CRE/(μmol/L), ${\bar x}$±s 45.15±15.30* 40.03±10.08 -0.135# 55.792
UA/(μmol/L), ${\bar x}$±s 270.75±90.38 248.99±73.39 -0.080 51.613
CYC/(mg/L), ${\bar x}$±s 1.00±0.31 0.96±0.19 -0.071 52.520
eGFR/[mL/(min·1.73 m2)], ${\bar x}$±s 171.59±23.49* 179.07±21.55 0.111# 55.245

表5

Logistic回归模型的统计分析结果"

Dependent variable Independent factors B SE Wald P OR 95%CI
α1-MG* IgE* 2.161 0.800 7.300 0.007 8.678 1.810-41.610
C3# 3.742 1.516 6.094 0.014 42.181 2.162-823.013
Total protein# C3# 2.436 0.743 10.747 0.001 11.429 2.664-49.044
ALP* Age≤10 years 0.743 0.349 4.527 0.033 2.102 1.060-4.167
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