Noncommunicable Disease (NCD) Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan.
Department of Family Medicine and Community Health, Duke University, Durham, North Carolina, USA.
Nephrology (Carlton). 2024 Feb;29(2):65-75. doi: 10.1111/nep.14250. Epub 2023 Oct 23.
Among patients with Immunoglobulin A (IgA) nephropathy, we aimed to identify trajectory patterns stratified by the magnitude of haematuria and proteinuria using repeated urine dipstick tests, and assess whether the trajectories were associated with kidney events.
Using a nationwide multicentre chronic kidney disease (CKD) registry, we analysed data from 889 patients with IgA nephropathy (mean age 49.3 years). The primary outcome was a sustained reduction in eGFR of 50% or more from the index date and thereafter. During follow-up (median 49.0 months), we identified four trajectories (low-stable, moderate-decreasing, moderate-stable, and high-stable) in both urine dipstick haematuria and proteinuria measurements, respectively.
In haematuria trajectory analyses, compared to the low-stable group, the adjusted hazard ratios (HRs) (95% confidence interval [CI]) for kidney events were 2.59 (95% CI, 1.48-4.51) for the high-stable, 2.31 (95% CI, 1.19-4.50) for the moderate-stable, and 1.43 (95% CI, (0.72-2.82) for the moderate-decreasing groups, respectively. When each proteinuria trajectory group was subcategorized according to haematuria trajectories, the proteinuria group with high-stable and with modest-stable haematuria trajectories had approximately 2-times higher risk for eGFR reduction ≥50% compared to that with low-stable haematuria trajectory.
Assessments of both haematuria and proteinuria trajectories using urine dipstick could identify high-risk IgA nephropathy patients.
在免疫球蛋白 A(IgA)肾病患者中,我们旨在使用重复尿试纸检测,根据血尿和蛋白尿的严重程度确定轨迹模式,并评估轨迹是否与肾脏事件相关。
利用全国多中心慢性肾脏病(CKD)登记处,我们分析了 889 名 IgA 肾病患者(平均年龄 49.3 岁)的数据。主要结局是自指数日期起 eGFR 持续下降 50%或更多,此后持续下降。在随访期间(中位数 49.0 个月),我们分别在尿试纸血尿和蛋白尿测量中确定了四个轨迹(低稳定、中降低、中稳定和高稳定)。
在血尿轨迹分析中,与低稳定组相比,高稳定组、中稳定组和中降低组发生肾脏事件的调整后危险比(HR)(95%置信区间[CI])分别为 2.59(95%CI,1.48-4.51)、2.31(95%CI,1.19-4.50)和 1.43(95%CI,0.72-2.82)。当根据血尿轨迹将每个蛋白尿轨迹组细分时,具有高稳定和中稳定血尿轨迹的蛋白尿组发生 eGFR 降低≥50%的风险约为具有低稳定血尿轨迹的组的 2 倍。
使用尿试纸评估血尿和蛋白尿轨迹可以识别高风险 IgA 肾病患者。