US deceased kidney transplantation: Estimated GFR, donor age and KDPI association with graft survival.

BACKGROUND: Despite a significant shortage of kidneys for transplantation in the US, kidneys from older deceased donors are infrequently transplanted. This is primarily over concern of graft quality and transplant durability. METHODS: The US national transplant database (2000-2018) was assessed for deceased donor kidney transplant patient and graft survival, graft durability and stratified by donor age (<65 years>), Kidney Donor Profile Index (KDPI) and estimated glomerual filtration rate (GFR) one year post-transplantation (eGFR-1) were calculated. FINDINGS: Recipients of kidneys transplanted from deceased donors >65 years had a lower eGFR-1, (median 39 ml/min) than recipients of younger donor kidneys (median 54 ml/min). However, death-censored graft survival, stratified by eGFR-1, demonstrated similar survival, irrespective of donor age or KDPI. The durability of kidney survival decreases as the achieved eGFR-1 declines. KDPI has a poor association with eGFR-1 and lesser for graft durability. While recipients of kidneys > 65 years had a higher one year mortality than younger kidney recipients, recipients of kidneys > 65 years and an eGFR-1 <30 ml/min, had a lower survival than an untransplanted waitlist cohort (p<0.001). INTERPRETATION: The durability of kidney graft survival after transplantation was associated with the amount of kidney function gained through the transplant (eGFR-1) and the rate of graft loss (return to dialysis) was not significantly associated with donor age. 24.9% of recipients of older donor kidneys failed to achieve sufficient eGFR-1 providing a transplant survival benefit. While there is significant benefit from transplanting older kidneys, better decision-making tools are required to avoid transplanting kidneys that provide insufficient renal function. FUNDING: None.

Informed Clustering of Donation Service Areas for Improved Benchmarking.

The donation community continuously strives to collaborate and share effective practices to further the mission of saving and healing lives. Donation service areas in which the Organ Procurement Organizations (OPOs) work are multifaceted in their demographics, inciting the Organ Procurement and Transplantation Network to consider a more holistic and objective measure of similarity rather than the size of population alone or locational proximity alone. This would allow OPOs, as a part of their quality improvement efforts, to learn from and mentor other organizations that are dealing with similar challenges. By incorporating multiple informative characteristics together, we can distinguish those likenesses only revealed by taking into account multiple factors simultaneously. We used statistical approaches that take many characteristics of interest describing a donation service area and purposely excluded performance measures that an OPO may be able to influence by their own practices. Unsupervised learning methods combined the original characteristics into a smaller number of new variables, eliminating correlation and overlap in information from the original characteristics, and clustered donation service areas based on the general characteristics and population of the area. This analysis is a first step in providing a different perspective for OPOs to learn from other organizations that may face similar challenges, as well as to share best practices and open new lines of communication.

Association between changes in Membership and Professional Standards Committee review criteria and use of higher-risk kidneys for transplant.

The Organ Procurement and Transplantation Network's Membership and Professional Standards Committee implemented an operational rule on March 1, 2017, intended to increase the number of kidneys transplanted from donors with kidney donor profile index (KDPI) ≥ 85% into recipients with poor estimated posttransplant survival (≥ 80%). Using data from the Scientific Registry of Transplant Recipients, ordinal and logistic regressions estimated, respectively, differences in kidney yield (number of transplanted kidneys per recovered donor) and offer acceptance practices before and after implementation. We included donors recovered January 1, 2016-February 28, 2018. The odds of higher kidney yield for donors with KDPI ≥ 85% were 27% higher after implementation (odds ratio, 1.06 1.271.53 ), but odds were also 20% higher for donors with KDPI < 85% (1.04 1.201.38 ). Thus, kidney yield was higher for all donors, with a slightly larger difference for donors with KDPI ≥ 85%. Additionally, the difference in offer acceptance before and after implementation was similar regardless of KDPI (KDPI < 85%, 0.97 1.021.07 ; KDPI ≥ 85%, 0.95 1.041.14 ). In the first year after implementation, kidney yield increased for donors with KDPI < and ≥ 85%. Thus, kidney yield from higher KDPI donors may have increased without the operational rule.

The Collaborative Innovation and Improvement Network (COIIN): Effect on donor yield, waitlist mortality, transplant rates, and offer acceptance.

The Organ Procurement and Transplantation Network implemented the Collaborative Improvement and Innovation Network (COIIN) to improve the use of donors with kidney donor profile index >50%. COIIN recruited 2 separate cohorts of kidney transplant programs. Cohort A included 19 programs of 44 applicants (January 1, 2017, to September 30, 2017), and cohort B included 39 programs of 47 applicants (October 1, 2017, to June 30, 2018). We investigated the effect of COIIN on kidney yield (number of kidneys transplanted from donors from whom any organ was recovered), offer acceptance, deceased donor transplant rates, and waitlist mortality rates for January 1, 2016, to March 31, 2019. COIIN did not notably affect kidney yield or waitlist mortality rates. Cohort A, but not cohort B, had significantly higher deceased donor transplant and offer acceptance rates during its intervention period than programs not in COIIN (adjusted transplant rate ratio: cohort A, 1.08 1.171.27 , cohort B, 0.94 1.011.08 ; adjusted offer acceptance ratio: cohort A, 1.08 1.181.29 , cohort B, 0.93 1.001.08 ). Thus, COIIN improved the use of kidneys at programs in cohort A but not at those in cohort B. Further research is necessary to understand the different effects for cohorts A and B, and further monitoring of posttransplant outcomes is required.

C-peptide levels do not correlate with pancreas allograft failure: Multicenter retrospective analysis and discussion of the new OPT definition of pancreas allograft failure.

The OPTN Pancreas Transplantation Committee performed a multicenter retrospective study to determine if undetectable serum C-peptide levels correspond to center-reported pancreas graft failures. C-peptide data from seven participating centers (n = 415 graft failures for transplants performed from 2002 to 2012) were analyzed pretransplant, at graft failure, and at return to insulin. One hundred forty-nine C-peptide values were submitted at pretransplant, 94 at return to insulin, and 233 at graft failure. There were 77 transplants with two available values (at pretransplant and at graft failure). For recipients in the study with pretransplant C-peptide <0.75 ng/mL who had a posttransplant C-peptide value available (n = 61), graft failure was declared at varying levels of C-peptide. High C-peptide values at graft failure were not explained by nonfasting testing or by individual center bias. Transplant centers declare pancreas graft failure at varying levels of C-peptide and do not consistently report C-peptide data. Until February 28, 2018, OPTN did not require reporting of posttransplant C-peptide levels and it appears that C-peptide levels are not consistently used for evaluating graft function. C-peptide levels should not be used as the sole criterion for the definition of pancreas graft failure.

The predictive value of childhood blood pressure values for adult elevated blood pressure.

Because of the paucity of serial blood pressure data on the same individuals, little is known about the accuracy of elevated blood pressure (BP) in childhood for predicting hypertension (HBP) later in life. The availability of long-term serial BP data from the Fels Longitudinal Study (FLS) presents the opportunity to link HBP in adulthood directly to BP measured decades earlier in the same individuals as children. We analyzed serial data from 965 men and 1114 women in the FLS. We used an autoregressive-moving average (1, 1) [ARMA (1, 1)] longitudinal model to predict adult HBP from childhood values. For 15-year-old boys with SBP 15 mmHg and 30 mmHg above the average SBP of 90 mmHg, the probabilities of having HBP at age 35 are 0.18 and 0.33, respectively. The corresponding probabilities for 15-year-old girls are only 0.04 and 0.08. This striking sex difference in risk of HBP at age 35 between 15-year-old boys and girls indicates that the risk of developing HBP in women is low regardless of their childhood blood pressure at any age from 2 to 17 years. Men are about 4.25 times more likely to have HBP at age 35 than women over a range of SBP of 90 - 140 mmHg at age 15. The ARMA (1, 1) model allows the identification of boys at risk for HBP as adult men.

Measuring medical students' orientation toward lifelong learning: a psychometric evaluation.

BACKGROUND: The principle of lifelong learning is pervasive in regulations governing medical education and medical practice; yet, tools to measure lifelong learning are lagging in development. This study evaluates the Jefferson Scale of Physician Lifelong Learning (JeffSPLL) adapted for administration to medical students. METHOD: The Jefferson Scale of Physician Lifelong Learning-Medical Students (JeffSPLL-MS) was administered to 732 medical students in four classes. Factor analysis and t tests were performed to investigate its construct validity. RESULTS: Maximum likelihood factor analysis identified a three-factor solution explaining 46% of total variance. Mean scores of clinical and preclinical students were compared; clinical students scored significantly higher in orientation toward lifelong learning (P < .001). CONCLUSIONS: The JeffSPLL-MS presents findings consistent with key concepts of lifelong learning. Results from use of the JeffSPLL-MS may reliably inform curriculum design and education policy decisions that shape the careers of physicians.