Giselle Guerra, Luke Preczewski, Jeffrey J. Gaynor, Mahmoud Morsi, Marina M. Tabbara, Adela Mattiazzi, Rodrigo Vianna, Gaetano Ciancio
{"title":"1119例死亡供肾移植受者移植后一年内肾功能较差的多变量预测因素,特别关注个体KDRI成分和供者AKI的影响","authors":"Giselle Guerra, Luke Preczewski, Jeffrey J. Gaynor, Mahmoud Morsi, Marina M. Tabbara, Adela Mattiazzi, Rodrigo Vianna, Gaetano Ciancio","doi":"10.1111/ctr.70080","DOIUrl":null,"url":null,"abstract":"<p>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) (<i>p</i> < 0.000001), Longer StaticColdStorage Time (hr) (<i>p</i> < 0.000001), and Higher RecipientBMI (<i>p</i> ≤ 0.00003). Other significantly unfavorable characteristics included: Shorter DonorHeight (cm) (<i>p</i> ≤ 0.00001), Higher Natural Logarithm {Initial DonorCreatinine} (<i>p</i> ≤ 0.001), Longer MachinePerfusion Time (<i>p</i> ≤ 0.003), Greater DR Mismatches (<i>p</i> = 0.01), DonorHypertension (<i>p</i> ≤ 0.004), Recipient HIV+ (<i>p</i> ≤ 0.006), DCD Kidney (<i>p</i> = 0.002), Cerebrovascular DonorDeath (<i>p</i> = 0.01), and DonorDiabetes (<i>p</i> = 0.01). Variables not selected into any model included DonorAKI Stage (<i>p</i> ≥ 0.24), Any DonorAKI (<i>p</i> ≥ 0.04), and five KDRI components: two DonorAge splines at 18 years (<i>p</i> ≥ 0.52) and 50 years (<i>p</i> ≥ 0.28), BlackDonor (<i>p</i> ≥ 0.08), DonorHCV+ (<i>p</i> ≥ 0.06), and DonorWeight spline at 80 kg (<i>p</i> ≥ 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.</p>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"39 4","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ctr.70080","citationCount":"0","resultStr":"{\"title\":\"Multivariable Predictors of Poorer Renal Function Among 1119 Deceased Donor Kidney Transplant Recipients During the First Year Post-Transplant, With a Particular Focus on the Influence of Individual KDRI Components and Donor AKI\",\"authors\":\"Giselle Guerra, Luke Preczewski, Jeffrey J. Gaynor, Mahmoud Morsi, Marina M. Tabbara, Adela Mattiazzi, Rodrigo Vianna, Gaetano Ciancio\",\"doi\":\"10.1111/ctr.70080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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) (<i>p</i> < 0.000001), Longer StaticColdStorage Time (hr) (<i>p</i> < 0.000001), and Higher RecipientBMI (<i>p</i> ≤ 0.00003). Other significantly unfavorable characteristics included: Shorter DonorHeight (cm) (<i>p</i> ≤ 0.00001), Higher Natural Logarithm {Initial DonorCreatinine} (<i>p</i> ≤ 0.001), Longer MachinePerfusion Time (<i>p</i> ≤ 0.003), Greater DR Mismatches (<i>p</i> = 0.01), DonorHypertension (<i>p</i> ≤ 0.004), Recipient HIV+ (<i>p</i> ≤ 0.006), DCD Kidney (<i>p</i> = 0.002), Cerebrovascular DonorDeath (<i>p</i> = 0.01), and DonorDiabetes (<i>p</i> = 0.01). Variables not selected into any model included DonorAKI Stage (<i>p</i> ≥ 0.24), Any DonorAKI (<i>p</i> ≥ 0.04), and five KDRI components: two DonorAge splines at 18 years (<i>p</i> ≥ 0.52) and 50 years (<i>p</i> ≥ 0.28), BlackDonor (<i>p</i> ≥ 0.08), DonorHCV+ (<i>p</i> ≥ 0.06), and DonorWeight spline at 80 kg (<i>p</i> ≥ 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. 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Multivariable Predictors of Poorer Renal Function Among 1119 Deceased Donor Kidney Transplant Recipients During the First Year Post-Transplant, With a Particular Focus on the Influence of Individual KDRI Components and Donor AKI
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.
期刊介绍:
Clinical Transplantation: The Journal of Clinical and Translational Research aims to serve as a channel of rapid communication for all those involved in the care of patients who require, or have had, organ or tissue transplants, including: kidney, intestine, liver, pancreas, islets, heart, heart valves, lung, bone marrow, cornea, skin, bone, and cartilage, viable or stored.
Published monthly, Clinical Transplantation’s scope is focused on the complete spectrum of present transplant therapies, as well as also those that are experimental or may become possible in future. Topics include:
Immunology and immunosuppression;
Patient preparation;
Social, ethical, and psychological issues;
Complications, short- and long-term results;
Artificial organs;
Donation and preservation of organ and tissue;
Translational studies;
Advances in tissue typing;
Updates on transplant pathology;.
Clinical and translational studies are particularly welcome, as well as focused reviews. Full-length papers and short communications are invited. Clinical reviews are encouraged, as well as seminal papers in basic science which might lead to immediate clinical application. Prominence is regularly given to the results of cooperative surveys conducted by the organ and tissue transplant registries.
Clinical Transplantation: The Journal of Clinical and Translational Research is essential reading for clinicians and researchers in the diverse field of transplantation: surgeons; clinical immunologists; cryobiologists; hematologists; gastroenterologists; hepatologists; pulmonologists; nephrologists; cardiologists; and endocrinologists. It will also be of interest to sociologists, psychologists, research workers, and to all health professionals whose combined efforts will improve the prognosis of transplant recipients.