Division of Nephrology , Department of Internal Medicine , Icahn School of Medicine at Mount Sinai , Manhattan , New York.
Department of Obstetrics and Gynecology , University of Washington , Seattle , Washington.
Kidney360. 2023 Sep 1;4(9):e1257-e1264. doi: 10.34067/KID.0000000000000226. Epub 2023 Aug 3.
Among adults with diabetes and CKD, biomarkers of kidney tubule health were associated with a greater risk of death, independent of eGFR, albuminuria, and additional risk factors. Higher urine levels of YKL-40 and KIM-1 were associated with a greater risk of death. For cause-specific death, UMOD was independently and inversely associated with the risk of cardiovascular death.
Kidney disease assessed by serum creatinine and albuminuria are strongly associated with mortality in diabetes. These markers primarily reflect glomerular function and injury. Urine biomarkers of kidney tubule health were recently associated with the risk of kidney failure in persons with CKD and diabetes. Associations of these biomarkers with risk of death are poorly understood.
In 560 persons with diabetes and eGFR ≤60 ml/min per 1.73 m from the Reasons for Geographic and Racial Differences in Stroke study (47% male, 53% Black), we measured urine biomarkers of kidney tubule health at baseline: monocyte chemoattractant protein-1 (MCP-1), alpha-1-microglobulin, kidney injury molecule-1 (KIM-1), EGF, chitinase-3-like protein 1 (YKL-40), and uromodulin (UMOD). Cox proportional hazards regression was used to examine the associations of urine biomarkers with all-cause and cause-specific mortality in nested models adjusted for urine creatinine, demographics, mortality risk factors, eGFR, and urine albumin.
The mean (SD) age was 70 (9.6) years, and baseline eGFR was 40 (3) ml/min per 1.73 m. There were 310 deaths over a mean follow-up of 6.5 (3.2) years. In fully adjusted models, each two-fold higher urine concentration of KIM-1 and YKL-40 were associated with all-cause mortality (hazard ratio [HR] 1.15, 95% confidence interval [CI], 1.01 to 1.31 and 1.13, 95% CI, 1.07 to 1.20, respectively). When examining cause-specific mortality, higher UMOD was associated with a lower risk of cardiovascular death (adjusted HR per two-fold higher concentration 0.87, 95% CI, 0.77 to 0.99), and higher MCP-1 was associated with higher risk of cancer death (HR per two-fold higher concentration 1.52, 95% CI, 1.05 to 2.18).
Among persons with diabetes and CKD, higher urine KIM-1 and YKL-40 were associated with a higher risk of all-cause mortality independently of established risk factors. Urine UMOD and MCP-1 were associated with cardiovascular and cancer-related death, respectively.
在患有糖尿病和 CKD 的成年人中,肾脏小管健康的生物标志物与死亡风险增加相关,独立于 eGFR、白蛋白尿和其他危险因素。尿液中 YKL-40 和 KIM-1 的水平较高与死亡风险增加相关。对于特定原因的死亡,UMOD 与心血管死亡风险呈负相关。
血清肌酐和白蛋白尿评估的肾脏疾病与糖尿病患者的死亡率密切相关。这些标志物主要反映肾小球功能和损伤。最近,肾脏小管健康的尿液生物标志物与 CKD 和糖尿病患者的肾衰竭风险相关。这些生物标志物与死亡风险的关联尚不清楚。
在 Reasons for Geographic and Racial Differences in Stroke 研究中,我们从 560 名 eGFR ≤60 ml/min/1.73 m² 的患有糖尿病的成年人(47%为男性,53%为黑人)中测量了基线时尿液中的肾脏小管健康生物标志物:单核细胞趋化蛋白-1(MCP-1)、α-1-微球蛋白、肾脏损伤分子-1(KIM-1)、EGF、几丁质酶-3 样蛋白 1(YKL-40)和尿调素(UMOD)。使用 Cox 比例风险回归模型,在嵌套模型中调整尿液肌酐、人口统计学、死亡风险因素、eGFR 和尿液白蛋白后,研究尿液生物标志物与全因和特定原因死亡率之间的关系。
平均(SD)年龄为 70(9.6)岁,基线 eGFR 为 40(3)ml/min/1.73 m²。平均随访 6.5(3.2)年后,发生 310 例死亡。在完全调整的模型中,KIM-1 和 YKL-40 的尿液浓度每增加两倍,全因死亡率的风险分别增加 1.15(95%CI,1.01 至 1.31)和 1.13(95%CI,1.07 至 1.20)。当检查特定原因的死亡率时,较高的 UMOD 与较低的心血管死亡风险相关(每增加两倍浓度的调整 HR 为 0.87,95%CI,0.77 至 0.99),而较高的 MCP-1 与癌症死亡风险增加相关(每增加两倍浓度的 HR 为 1.52,95%CI,1.05 至 2.18)。
在患有糖尿病和 CKD 的人群中,尿液 KIM-1 和 YKL-40 升高与全因死亡率增加相关,独立于已确定的危险因素。尿液 UMOD 和 MCP-1 分别与心血管和癌症相关的死亡相关。