<b>Raw data of Moderate to severe chronic arteriolar lesions is an independent risk factor for adverse renal outcomes in IgA nephropathy</b>

The impact of chronic arteriolar lesions on the prognosis of IgA nephropathy remains controversial. This data aims to explore the value of chronic arteriolar lesions of varying degrees in predicting the prognosis of IgA nephropathy patients and analyze the associated risk factors that contribute to the formation. A total of 574 cases were included in this study. According to the degree of chronic arteriolar lesions, the patients were divided into four groups: no lesion group, mild lesion group, moderate lesion group, and severe lesion group.Statistical analysis was performed using SPSS 26.0 software. Continuous variables were expressed as mean ± standard deviation for normally distributed variables or median and interquartile range for non-normally distributed variables. Comparisons between groups utilized either independent samples t-test or Mann-Whitney U test for two-group comparisons and a one-way analysis of variance (ANOVA) or the Kruskal-Wallis H test for three-group comparisons, with the Bonferroni test applied for multiple comparisons. Categorical variables were presented as frequency and percentages and analyzed using the χ2 test, Fisher's exact test, or Kruskal-Wallis test (if applicable). The cumulative incidence of reaching the composite endpoint was assessed using the Kaplan–Meier method and compared using the log-rank test. Univariate and multivariate Cox regression analyses were used to evaluate factors significantly associated with composite endpoints. Multivariable regression analysis was conducted for significant univariate factors, presenting the results as adjusted hazard ratios (aHR) with a 95% confidence interval (CI). Receiver operating characteristic curves (ROC) were plotted, and the area under the curve (AUC) was calculated. The optimal cut-off value was determined based on the maximum Youden index. Logistic regression analysis was utilized to identify the associated risk factors for moderate to severe chronic arteriolar lesions. Missing data were addressed using multiple imputation techniques. Continuous variables were imputed through linear regression models, while categorical variables were imputed using logistic regression models. The imputation process was repeated five times to ensure robustness.A significance level of α=0.05 was used, with P&lt;0.05 considered statistically significant. Analysis was conducted using anonymized data accessed on June 08, 2023, ensuring that only de-identified data were utilized for the study.This study has been approved by the Ethics Committee of Guangdong Provincial Hospital of Traditional Chinese Medicine (Approval No. YE2022-181-01), which is in line with the ethical principles of clinical research as well as the Declaration of Helsinki and International Ethical Guidelines for Research Involving Human Health, among other documents.慢性动脉病变对IgA肾病（IgA nephropathy）预后的影响尚存争议。本研究旨在探讨不同程度慢性动脉病变在预测IgA肾病患者预后中的价值，并分析其形成的相关危险因素。本研究共纳入574例病例，根据慢性动脉病变程度将患者分为四组：无病变组、轻度病变组、中度病变组及重度病变组。本研究采用SPSS 26.0统计软件开展数据分析。符合正态分布的连续变量以均值±标准差表示，非正态分布的连续变量以中位数及四分位间距表示。组间比较方面，两组比较采用独立样本t检验或曼-惠特尼U检验；三组及以上比较采用单因素方差分析（ANOVA）或克鲁斯卡尔-沃利斯H检验（Kruskal-Wallis H test），多重比较采用邦费罗尼校正检验。分类变量以频数与百分比形式呈现，采用χ²检验、费希尔确切概率法或克鲁斯卡尔-沃利斯检验（依适用情况）进行分析。采用卡普兰-迈耶法（Kaplan–Meier method）评估复合终点的累积发生率，并通过对数秩检验（log-rank test）进行组间比较。采用单因素及多因素Cox回归分析评估与复合终点显著相关的危险因素。针对单因素分析中具有统计学意义的变量开展多变量回归分析，结果以校正后风险比（aHR）及95%置信区间（CI）呈现。绘制受试者工作特征曲线（ROC），计算曲线下面积（AUC），基于约登指数最大值确定最佳截断值。采用Logistic回归分析识别中重度慢性动脉病变的相关危险因素。缺失数据采用多重插补法进行处理：连续变量通过线性回归模型插补，分类变量通过Logistic回归模型插补，重复插补五次以确保结果稳健性。本研究设定检验水准α=0.05，以P<0.05为差异具有统计学意义。分析所用数据为2023年6月8日获取的匿名化数据，本研究仅使用去标识化数据开展研究。本研究已通过广东省中医院伦理委员会批准（批准号：YE2022-181-01），符合临床研究伦理原则及《赫尔辛基宣言》、《涉及人类健康的国际研究伦理指南》等相关文件的伦理要求。