UNASSIGNED: We obtained data from patients between 2017 and 2019, and matched healthy elderly subjects based on gender and age. Data collected for all subjects included annual measurements of fast blood glucose (GLU), glycated hemoglobin (HbA1c), low-density lipoprotein cholesterol (LDL-c), blood albumin (ALB), blood uric acid (UA), urine protein (UP), and systolic blood pressure (SBP). Additionally, information on coexisting diseases was gathered. The Full Age Spectrum (FAS) equation was used to calculate eGFR.
UNASSIGNED: A total of 162 patients with complete 3-year renal dynamic imaging were included, including 84 patients in the kidney disease group (K group) and 78 patients in the non-kidney disease group (NK group). Ninety individuals were selected as the healthy group (H group). The annual decline rate in the K group was the fastest, which exceeded 5mL/min/1.73m2 (P < 0.05). Group (K group: β=-40.31, P<0.001; NK group: β=-26.96, P<0.001), ALB (β=-0.38, P=0.038) and HbA1c (β=1.36, P=0.029) had a significant negative impact on the eGFR changes. For participants who had negative proteinuria: K group had the most significant annual eGFR decline.
UNASSIGNED: The presence of kidney disease, along with proteinuria nor not, can lead to a marked acceleration in kidney function decline in elderly. We categorize elderly individuals with an annual eGFR decline of more than 5 mL/min/1.73m2 as the \"kidney accelerated aging\" population.
■我们从2017年至2019年的患者中获得了数据,并根据性别和年龄对健康的老年受试者进行了匹配。收集的所有受试者的数据包括每年的快速血糖(GLU)测量,糖化血红蛋白(HbA1c),低密度脂蛋白胆固醇(LDL-c),血白蛋白(ALB),血尿酸(UA),尿蛋白(UP),收缩压(SBP)。此外,收集了有关共存疾病的信息。全年龄谱(FAS)方程用于计算eGFR。
■共纳入162例完成3年肾动态显像的患者,其中肾脏疾病组(K组)84例,非肾脏疾病组(NK组)78例。选择90例作为健康组(H组)。K组的年下降速度最快,超过5mL/min/1.73m2(P<0.05)。组(K组:β=-40.31,P<0.001;NK组:β=-26.96,P<0.001),ALB(β=-0.38,P=0.038)和HbA1c(β=1.36,P=0.029)对eGFR变化有显著的负面影响。对于蛋白尿阴性的参与者:K组的eGFR年度下降最显著。
■肾脏疾病的存在,伴随着蛋白尿也不是,可导致老年人肾功能明显加速下降。我们将每年eGFR下降超过5mL/min/1.73m2的老年人归类为“肾脏加速衰老”人群。