Citations 35

Duration Of Delayed Graft Function And Its Impact On Graft Outcomes In Deceased Donor Kidney Transplantation Running Head: Impact of Duration of Delayed Graft Function

No container title available | February 9, 2022 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-1277907/v1

Abstract Background. There is controversy regarding the impact of delayed graft function (DGF) on kidney transplant outcomes. We hypothesize that the duration of DGF, rather than DGF itself, is associated with long-term kidney graft function.Methods. We analyzed all deceased donor kidney transplants (DDKT) done at our center between 2008 to 2020 with DGF to determine factors associated with DGF duration as well as the impact of DGF duration on 1) acute rejection, BKV infection, progression of fibrosis on protocol biopsy, and death censored graft survival 2) resource utilization, including hospital length of stay and readmissions. DGF duration was assessed at three 14-day intervals: <14 DGF days, 14-27 DGF days, >28 DGF days.Results. There were 1714 DDKT were included, 59.4% (n=1018) had DGF. The median DGF duration was 10 days IQR (6,15). The majority of recipients (95%) had resolution of DGF within 28 days. Donor factors associated with DGF days were longer cold ischemia time, donor on inotropes, older age, donation after circulatory death, higher terminal creatinine, and hypertension. Recipient factors associated with increased DGF duration included male sex, length on dialysis before transplant, and higher body mass index. There were no differences in acute rejection events or interstitial fibrosis progression by 4 months when comparing DGF days. The median length of stay was 3 days. However, readmissions increased with increasing DGF duration. Death-censored graft survival was not associated with the length of DGF except when DGF lasted >28 days. Conclusions. Inferior graft survival was observed only in recipients of DDKT with DGF lasting beyond 28 days. DGF lasting <28 days had no impact on graft survival. Duration of DGF, rather than DGF itself, is associated with graft survival. Trial Registration. Retrospective study approved by Mayo Clinic IRB.
VO2peak prior to transplant differentiates survival post kidney transplant

Clinical Transplantation | October 22, 2021 | Volume: 36 | Issue: 2 | Pages: No page available

10.1111/ctr.14517 | PMID 34679190

AbstractThe OPTN/UNOS utilizes the calculated estimated posttransplant survival (EPTS) score as the measure of post‐kidney transplant survival to guide allocation of deceased donor kidney transplantation. This score does not include any metric of functional capacity. Peak oxygen uptake (VO2peak), is an established predictor of survival among both the general and diseased populations. We assessed the association and discriminative capacity of VO2peak and that of EPTS score and all‐cause mortality post‐kidney transplant. Additionally, we assessed the “mortality risk” lower VO2peak conferred on those patients with low EPTS score. Among a cohort of 293 transplant recipients with at least 3‐years post‐transplant follow‐up, the median VO2peak was 15.0 ml/Kg/min. Lower pre‐transplant VO2peak and higher EPTS score conferred higher risk of post‐transplant mortality. Among the cohort of “low‐risk” patients (patients with EPTS score < 50) those with lower VO2peak had significantly higher risk of mortality (log rank p = 0.045). In fact, the mortality risk among those with low‐EPTS (< 50) and low VO2peak < 12 ml/Kg/min was equivalent to those with high EPTS (> 80) score. We concluded functional capacity as defined by VO2peak is an important reflection of post‐transplant survival. VO2peak is able to identify those with low EPTS who have similar survival to that of high EPTS phenotype.
Successful outcomes with transplanting kidneys from deceased donors with acute kidney injuryon temporary renal replacement therapy

Clinical Transplantation | September 13, 2021 | Volume: 35 | Issue: 12 | Pages: No page available

10.1111/ctr.14465 | PMID 34514643

AbstractBackground and objectivesWe aimed to determine outcomes with transplanting kidneys from deceased donors with severe acute kidney injury requiring acute renal replacement therapy (RRT).Materials and methodsA total of 172 recipients received a kidney from donors with acute kidney injury stage 3 (AKIN3) requiring RRT. We compared the study group to 528 recipients who received a kidney from donors with AKIN stage 3 not on RRT and 463 recipients who received < 85% Kidney Donor Profile Index (KDPI) AKIN stage 0 kidney.ResultsThe study group donors were younger compared to the 2 control groups. Despite higher DGF in the study group, the length of hospital stay and acute rejection were similar. Death censored graft survival (96% AKIN3‐RRT vs. 97%AKIN3 no RRT vs. 96% KDPI < 85% AKIN0,P = 0.26) and patient survival with functioning graft at 1 year (95% across all groups,P = 0.402) were similar. The estimated glomerular filtration rate were similar across the 3 groups after first month. Interstitial fibrosis and tubular atrophy score ≥ 2 on protocol biopsy at time 0, 4 and 12 months were similar. Primary nonfunction was rare and associated with high KDPI.ConclusionsTransplanting selected kidneys from deceased donors with AKIN3 requiring RRT is safe and has good outcomes.
Current State of Evidence on Kidney Transplantation: How Fragile Are the Results?

Transplantation | May 10, 2021 | Volume: 106 | Issue: 2 | Pages: 248-256

10.1097/tp.0000000000003805 | PMID 33966022

Background. The study aims is to use the fragility index (FI) to examine the strength of evidence of randomized controlled trials (RCTs) published in the last decade on kidney transplantation. Methods. We searched MEDLINE for studies on kidney transplantation. We included the RCTs that compared 2 groups with 1:1 randomization and reported significant P values (<0.05) for a dichotomous outcome and were published in the top 10 transplant journals. We calculated the FI; a calculation used to determine the minimum number of subjects needed to change from a nonevent to an event to make the study results nonsignificant (P ≥ 0.05). Results. Fifty-seven RCTs met our inclusion criteria. The median sample size was 100 participants in each arm, the median number of events was 16 (interquartile range, 8–30) in the intervention group. Among the included trials, 79% were industry-funded, 93% involved medications, and the majority were open label. The median FI was 3 (interquartile range, 1–11). In 43% of the trials, the number of patients reported lost to follow-up was higher than or equal to the FI. Only 4% of the RCTs imputed a value for the missing dichotomous outcome. Furthermore, the median number of subjects who discontinued the trial because of adverse effects was 21, which was greater than the FI in 60% of the RCTs. Conclusions. The arbitrary classification of results into “significant” and “nonsignificant” based on P value <0.05 should perhaps be interpreted with the help of other statistical parameters and FI is one of them.
Reporting and Handling of Missing Participant Data in Systematic Reviews of Kidney Transplant Studies

Transplantation | October 22, 2020 | Volume: 105 | Issue: 8 | Pages: 1708-1717

10.1097/tp.0000000000003503 | PMID 33093406

Background. Participant withdrawal from clinical trials occurs for various reasons, predominantly adverse effects or intervention inefficacy. Because these missing participant data can have implications for the validity, reproducibility, and generalizability of study results, when conducting a systematic review, it is important to collect and appropriately analyze missing data information to assess its effects on the robustness of the study results. Methods. In this methodologic survey of missing participant data reporting and handling in systematic reviews, we included meta-analyses that provided pooled estimates of at least 1 dichotomous intervention outcome of a randomized controlled trial performed in adult kidney transplant subjects. Results. Eighty-three systematic reviews (17 Cochrane and 66 non-Cochrane reviews) met the inclusion criteria. The most common intervention was drugs (80%), with the majority involving immunosuppressant drugs 55% (n = 46), followed by surgery in 14% (n = 12). The median follow-up duration was 12 months (maximum, 240 mo). Intention-to-treat or modified intention-to-treat analysis was reported in 24% (n = 20) of the reviews (76% of Cochrane and 10% of non-Cochrane). Overall, the majority of systematic reviews did not quantify (90% [n = 60] non-Cochrane and 29% [n = 5] Cochrane) or include the reasons for missing participant data (88% [n = 58] non-Cochrane and 24% [n = 4] Cochrane). Eleven percent (n = 9) handled missing participant data, 5% (n = 4) justified the analytical method(s) used to handle it, and 2% (n = 2) performed a sensitivity analysis for it. Conclusions. Systematic reviews of kidney transplantation provide inadequate information on missing participant data and usually do not handle or discuss the associated risk of bias with it.