Guerra Giselle, Preczewski Luke, Gaynor Jeffrey J, Morsi Mahmoud, Tabbara Marina M, Mattiazzi Adela, Vianna Rodrigo, Ciancio Gaetano
Department of Medicine, Division of Nephrology, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
Executive Office Department, Miami Transplant Institute, Jackson Memorial Hospital, Miami, Florida, USA.
Clin Transplant. 2025 Apr;39(4):e70080. doi: 10.1111/ctr.70080.
Given our desire to reduce kidney transplant waiting times by utilizing more difficult-to-place ("higher-risk") DD kidneys, we wanted to better understand post-transplant renal function among 1119 adult DD recipients consecutively transplanted during 2016-2019. Stepwise linear regression of eGFR (CKD-EPI formula) at 3-, 6-, and 12-months post-transplant (considered as biomarkers for longer-term outcomes), respectively, was performed to determine the significant multivariable baseline predictors, using a type I error ≤ 0.01 to avoid spurious/weak associations. Three unfavorable characteristics were selected as highly significant in all three models: Older DonorAge (yr) (p < 0.000001), Longer StaticColdStorage Time (hr) (p < 0.000001), and Higher RecipientBMI (p ≤ 0.00003). Other significantly unfavorable characteristics included: Shorter DonorHeight (cm) (p ≤ 0.00001), Higher Natural Logarithm {Initial DonorCreatinine} (p ≤ 0.001), Longer MachinePerfusion Time (p ≤ 0.003), Greater DR Mismatches (p = 0.01), DonorHypertension (p ≤ 0.004), Recipient HIV+ (p ≤ 0.006), DCD Kidney (p = 0.002), Cerebrovascular DonorDeath (p = 0.01), and DonorDiabetes (p = 0.01). Variables not selected into any model included DonorAKI Stage (p ≥ 0.24), Any DonorAKI (p ≥ 0.04), and five KDRI components: two DonorAge splines at 18 years (p ≥ 0.52) and 50 years (p ≥ 0.28), BlackDonor (p ≥ 0.08), DonorHCV+ (p ≥ 0.06), and DonorWeight spline at 80 kg (p ≥ 0.03), indicating that DonorAKI and the weaker KDRI components have little, if any, prognostic impact on renal function during the first 12 months post-transplant. Additionally, biochemical determinations with skewed distributions such as DonorCreatinine are more accurately represented by natural logarithmic transformed values. In conclusion, one practical takeaway is that donor AKI may be ignored when evaluating DD risk.
鉴于我们希望通过利用更难找到(“高风险”)的扩大标准(DD)肾脏来缩短肾移植等待时间,我们希望更好地了解2016年至2019年期间连续接受移植的1119名成年DD受者的移植后肾功能。分别对移植后3个月、6个月和12个月时的估算肾小球滤过率(eGFR,CKD-EPI公式)进行逐步线性回归(将其视为长期结果的生物标志物),以确定显著的多变量基线预测因素,采用I型错误≤0.01以避免虚假/弱关联。在所有三个模型中,有三个不利特征被选为高度显著:供体年龄较大(岁)(p<0.000001)、静态冷缺血时间较长(小时)(p<0.000001)和受者体重指数较高(p≤0.00003)。其他显著不利特征包括:供体身高较短(厘米)(p≤0.00001)、初始供体肌酐的自然对数较高(p≤0.001)、机器灌注时间较长(p≤0.003)、供受者错配程度较大(p=0.01)、供体高血压(p≤0.004)、受者HIV阳性(p≤0.006)、DCD肾脏(p=0.002)、脑血管供体死亡(p=0.01)和供体糖尿病(p=0.01)。未被选入任何模型的变量包括供体急性肾损伤分期(p≥0.24)、任何供体急性肾损伤(p≥0.04)以及肾脏供体风险指数(KDRI)的五个组成部分:18岁时的两个供体年龄样条(p≥0.52)和50岁时的(p≥0.28)、黑人供体(p≥0.08)、供体丙肝病毒阳性(p≥0.06)以及80千克时的供体体重样条(p≥0.03),这表明供体急性肾损伤和较弱的KDRI组成部分对移植后前12个月的肾功能几乎没有预后影响(如果有影响也很小)。此外,像供体肌酐这样分布呈偏态的生化测定值,用自然对数转换后的值能更准确地表示。总之,一个实际的收获是,在评估DD风险时,供体急性肾损伤可能可以忽略。