Body Mass Index and Kidney Donor Profile Index as Prognostic Markers of the Outcome of Renal Transplantation

BackgroundThe aim of this study was to determine the effects of Kidney Donor Profile Index (KDPI) and body mass index (BMI) of the deceased donor on the kidney allograft outcome 1 year after transplantation.MethodsWe retrospectively studied 98 deceased kidney allograft donors with a mean age of 56 ± 12 years. The donors were divided into 5 groups according to their BMI: Normal ΒΜΙ = 25 (n = 25); ΒΜΙ 25 to 29 = Overweight (n = 33); ΒΜΙ 30 to 34.9 = Obese class I (n = 19); ΒΜΙ 35 to 39 = Obese class ΙΙ (n = 11); and ΒΜΙ >40 = Obese class III (n = 10). We examined the impact of the deceased donor's BMI and KDPI on delayed graft function (DGF) and estimated renal glomerular filtration rate (eGFR) (measured by the Chronic Kidney Disease Epidemiology Collaboration equation) 1 year after transplantation.ResultsDonor BMI significantly increased the prevalence of DGF (P = .031), and it was associated with higher cold ischemia time (P = .021). However, there was no significant association between the aforementioned BMI groups and 1-year eGFR (P = 0.57), as deceased grafts from donors with increased BMI (BMI > 40) gained sufficient renal function during the first year of transplantation. Moreover, high KDPI was associated not only with DGF (P = .015), but also with decreased values of eGFR (P = .033).ConclusionIn this population, we identified no significant association between donor BMI and long-term clinical outcomes in deceased donor kidney transplants. KDPI, and not ΒΜΙ, of the deceased donor seems to be a good prognostic factor of renal function at the end of the first year after kidney transplant, whereas high BMI and high KDPI markedly induce DGF.     

Total Cell-Free DNA as a Noninvasive Biomarker of a Delayed Graft Function After Kidney Transplantation From Donors After Cardiac Death

BackgroundBecause of the organ shortage, donation after cardiac death (DCD) kidney transplantation (KTx) is an alternative way of achieving KTx using brain-dead donors (BDs). Although the prognosis of DCD-KTx is improving, the graft suffers from delayed graft function (DGF), the management of which is essential. With progress in understanding the characteristics of cell-free DNA (CF-DNA), we consider plasma total CF-DNA (tCF-DNA) to be a useful biomarker for predicting DGF in DCD-KTx.Study Design and MethodConsecutive patients from living donors (LDs; n = 9), BDs (n = 8), or DCD donors (n = 13) were enrolled. Plasma samples were collected after KTx and on postoperative days 3 and 5. CF-DNA was isolated, and tCF-DNA was quantified using the TapeStation 2200 software program.ResultsThe tCF-DNA levels after BD-KTx and DCD-KTx were higher than those after LD-KTx (LD, 78 ± 27 (ng/mL); BD, 99 ± 20; DCD, 150 ± 23); the difference between DCD-KTx and LD-KTx was statistically significant (P < .05). The tCF-DNA levels declined at postoperative day 5 (LD, 45 ± 10; BD, 51 ± 11; DCD, 66 ± 13). tCF-DNA levels were significantly increased in patients with DGF after KTx (DGF, 139 ± 22; immediate function, 91 ± 18; P < .05). The tCF-DNA level was correlated with the duration of DGF (r = 0.5825, P < .05).ConclusionAlthough the mechanism underlying DNA release from transplanted grafts into the recipient circulation remains unclear, cell death by apoptosis or necrosis and the active secretion of the immune system may play important roles in DGF. These data suggest that monitoring tCF-DNA may help predict graft recovery after DCD-KTx.     

Incidence,Risk Factors,and Outcomes of Delayed Graft Function in Deceased Donor Kidney Transplantation

ObjectiveDelayed graft function (DGF) is the most significant complication of a cadaveric kidney transplant. We aim to evaluate the predictable risk factors of DGF and its effects on the recipient and graft survival.MethodFrom January 2014 to December 2017, the medical records from 62 patients who received a kidney transplant from a deceased donor were retrospectively reviewed. We classified recipients into 2 groups. The risk factors of DGF associated with donor, recipient, and transplant procedures were analyzed. DGF's effects on the graft survival were examined.ResultsThe incidence rate of DGF was 43.5%. Older ages of donors, marginal donors (n = 15), length of stay in the intensive care unit, and terminal serum creatinine concentrations were observed to be statistically significant compared to recipients without DGF (P < .5). The ratio of serum creatinine concentrations before/after brain death was found to be significant for the groups with DGF (P < .05). Cold ischemia time (CIT) was examined as the most significant risk factor on DGF (P = .001). One-year patient survival rates were 94.5% and 92.3%, and graft survival rates were 92.1% and 87.5% (P = .05), respectively, for the groups with and without DGF.ConclusionOlder ages of donors, occurrence of acute kidney injury, its grade just before harvesting, and long duration of CIT are the most important risk factors for DGF. Brain death management, shortening the time between brain death and harvesting, and also shortening the duration of CIT can decrease the risk of DGF and can increase the graft survival.     

Retrospective Analysis of the Kidney Donor Profile Index to Predict Patient and Graft Survival at 5 Years Posttransplantation in a Colombian Cohort

BackgroundThe Kidney Donor Profile Index (KDPI) has been used to predict patient and graft outcomes in deceased donor kidney transplantation. We aimed to evaluate the impact of KDPI on transplantation major outcomes applied to a Colombian cohort.MethodsWe retrospectively assessed 260 adult patients who underwent kidney transplantation (KT) from January 2011 to June 2014 at our center and compared their KDPIs with graft and patient outcomes at 5 years posttransplantation. Kaplan-Meier survival method and Cox analysis were fitted to analyze the impact of the 3 KDPI categories on graft and patient outcomes.ResultsA total of 18.4% of transplants were from donors with a KDPI ≥75%. There was a significant decrement in renal function with increasing KDPI at 5 years posttransplantation (P < .05). The final model indicates that donor diabetes was associated with elevated risk for graft loss (hazard ratio [HR], 6.5; 95% confidence interval [CI] 1.35-31.8; P = .019) at 5 years posttransplantation. Recipient age (HR, 2.3; 95% CI, 1.1-4.5; P = .001), diabetes status (HR, 2.17; CI, 1.04-5.5; P = .003), dialysis duration (HR, 1.08; 95% CI, 1.00-1.16; P = .003), and operating room time (HR, 1.47; 95% CI, 1.02-2.12; P = .003) were associated with elevated risk for death at 5 years posttransplantation. KDPI categories were not significantly associated with graft loss or death.ConclusionsWe found limited KDPI power to predict graft and patient survival when applied to a Latin American population in Colombia. Our findings highlight the importance of analyzing the application of KDPI in different populations. Therefore, our findings may not be generalizable to other regions outside of Colombia.     

Rate,Factors, and Outcome of Delayed Graft Function After Kidney Transplantation of Deceased Donors

BackgroundDelayed graft function (DGF) is a frequent complication after kidney transplantation affecting long-term outcome.Patients and methodsA total of 525 consecutive recipients (age 54.2 ± 13.4 years, 33% female) of kidneys from deceased donors transplanted between 2005 and 2012 were retrospectively examined. DGF was defined as the need of dialysis within the first week after transplantation.ResultsDGF developed in 21.1% (n = 111). Factors associated with DGF (P ≤ .035, respectively) were recipient body mass index, C-reactive protein of the recipient, residual diuresis, cold ischemia time, donor age, and diuresis in the first hour after transplantation. Median duration of DGF was 16 (2-66) days. Patients after DGF had a significantly lower GFR compared with recipients without DGF either after 3 (32.9 ± 16.5 vs 46.3 ± 18.4 mL/min/1.73 m²) or after 12 months (38.9 ± 19.3 vs 48.6 ± 20.4 mL/min/1.73 m², P < .001, resp.). During DGF, 12.4% developed BANFF II and 18.0% BANFF I rejection, 20.2% had signs of transplant glomerulitis (first biopsy), and 16.2% (n = 18) remained on dialysis.ConclusionDGF affects 1 out of 5 kidney transplants from deceased donors. Minimizing modifiable risk factors, in particular immunologic risk, may ameliorate the incidence and outcome of DGF. The outcome of DGF depends mainly on the diagnosis of any rejection and worsens upon detection of transplant glomerulitis and pronounced interstitial fibrosis and tubular atrophy (IFTA).     

Higher Renal Allograft Function in Deceased-Donor Kidney Transplantation Rather Than in Living-Related Kidney Transplantation

Objectives

To compare the clinical outcome of kidney transplantation from living-related and deceased donors.

Outcomes of Delayed Graft Function in Kidney Transplant Recipients Stratified by Histologic Biopsy Findings

Delayed graft function (DGF) after kidney transplantation is associated with an increased risk of graft failure. We studied the histologic findings among adult kidney transplant recipients transplanted between January 2000 and June 2015 who had DGF and had a kidney biopsy within 14 days of transplant. Death censored graft failure (DCGF) and death at 1 and 3 years after transplant were examined. A total of 269 transplant recipients fulfilled our selection criteria, of which 152 (56.51%) had acute tubular necrosis (ATN), 44 (16.4%) had acute rejection (AR), mainly T-cell mediated rejection (n = 31), 35 (13%) had ATN with AR (mainly T-cell mediated rejection, n = 26), and 38 (14.1%) had other pathology. Compared with those with ATN alone, kidney transplant recipients with AR alone had a significantly higher risk of DCGF at 1 year post transplant (adjusted hazard ratio = 3.70; 95% confidence interval 1.5-9.5; P = .006). Those with AR alone had an increased risk of DCGF at 3 years post transplant (hazard ratio = 3.10; 95% confidence interval 1.3-8.5; P = .01) in crude analyses. There was no association between DGF etiology and mortality. Early renal biopsy can be used to distinguish AR, which has protocolized treatments, from other etiologies. This could potentially alter allograft survival within 1 year of transplant complicated by DGF.     

Impact of cold ischemia time on the outcomes of kidneys with Kidney Donor Profile Index ≥85%: mate kidney analysis ‐ a retrospective study

The new kidney allocation system recommends local and regional sharing of deceased donor kidneys (DDK) with 86–100% Kidney Donor Profile Index (KDPI) to minimize discard. Regional sharing can increase cold ischemia time (CIT) which may negatively impact transplant outcomes. Using a same donor mate kidney model, we aimed to define a CIT that should be targeted to optimize outcomes. Using Organ Procurement and Transplant Network/United Network for Organ Sharing database, we identified recipients of DDK from 2000 to 2013 with ≥85% KDPI. From this cohort, three groups of mate kidney recipients were identified based on CIT: group 1 (≥24 vs. ≥12 to <24 h), group 2 (≥24 vs. <12 h), and group 3 (≥12 to <24 vs. <12 h). Adjusted delayed graft function (DGF), and graft and patient survivals were compared for mate kidneys. DGF risk was significantly lower for patients with CIT <12 vs. ≥24 h in group 2 (adjusted OR: 0.25, 95% CI: 0.12–0.57, P < 0.001) while trending lower for CIT ≥12 to <24 vs. ≥24 h in group 1 (adjusted OR: 0.78, 95% CI: 0.59–1.03, P = 0.08) and CIT <12 vs. ≥12 to <24 h in group 3 (adjusted OR: 0.74, 95% CI: 0.55–1.0, P = 0.05). Adjusted graft and patient survivals were similar between mate kidneys in all groups. Minimizing CIT improves outcomes with regional sharing of marginal kidneys.     

Simultaneous Improvement of Habitual Physical Activity and Life Quality in Kidney Transplant Recipients Involved in Structured Physical Activity Program

ObjectivesThe aim of the study was to compare the effects of a physical activity program on daily physical activity and quality of life in kidney transplant (KTx) recipients and in patients with chronic kidney disease (CKD).Materials and MethodsThe study group consisted of 24 KTx recipients and 15 patients with stage 3 to 4 CKD. Habitual physical activity was monitored for 72 hours. Individualized structured programs of increased physical activity were prepared based on baseline physical performance. The measurements were repeated after 1 and 3 months. Participants completed the 36-item Short Form Health Survey questionnaire and an International Physical Activity Questionnaire at baseline and after 1, 2, and 3 months.ResultsPhysical activity duration and total energy expenditure significantly increased after 3 months in both KTx recipients (from 126 ± 87 to 200 ± 132 min/d, P = .001, and from 1.73 ± 0.37 to 2.24 ± 0.59 cal/min, P < .001, respectively) and CKD patients (from 79 ± 78 to 129 ± 114 min/d, P < .001, and from 1.5 ± 0.5 to 1.92 ± 0.47 cal/min, P < .001, respectively). Short Form Health Survey total score and physical component scale score improved significantly in both groups. Mental component scale score increased significantly only in KTx patients.ConclusionIncreased physical activity induces similar beneficial effects on total and physical activity component of quality of life and habitual daily activity in CKD and KTx patients.     

Evaluation of the Correlation Between Responders and Non-Responders to the Second Coronavirus Disease Vaccination In Kidney Transplant Recipients: A Retrospective Single-Center Cohort Study

BackgroundThe immune response to COVID-19 vaccination in kidney transplant (KTx) recipients is significantly lower than that in healthy controls. We evaluated immune responses after the COVID-19 vaccine and their possible relationship with other cofactors in KTx recipients.MethodsThis retrospective single-center cohort study included 29 KTx recipients 2-8 weeks after receiving 2 doses of the Pfizer-BioNTech SARS-CoV-2 messenger RNA vaccine. Anti-SARS-CoV-2 spike (S) immunoglobulin (Ig)-G levels were evaluated to define cofactors influencing the immune response between the responder (anti-SARS-CoV-2 IgG level ≥0.8 U/mL) (n = 16) and nonresponder groups (anti-SARS-CoV-2 IgG level <0.8 U/mL) (n = 13). The kinetics of antibodies between 2 and 6 months after the second vaccination was also compared between the groups.ResultsKTx recipients with IgG levels ≥0.8 U/mL were younger (54 [interquartile range {IQR}, 46.5-61] years vs 65 [IQR, 55-71.5] years; P = .01), had been transplanted for a longer median time (1588 [IQR, 1382-4751] days vs 1034 [IQR, 548.5-1833] days; P = .02), and were more often treated with a lower mycophenolate mofetil dosage (765.6 ± 119.6 vs 1077 ± 76.9 mg; P = .04) than KTx recipients with IgG levels <0.8 U/mL. There was no significant difference in antibody titers between time periods after the second dose in the responder group. At the 6-month follow-up, a serologic response against the SARS-CoV-2 S was observed in 44.4% of KTx recipients in the nonresponder group.ConclusionsMore than 50% of KTx recipients developed a higher antibody response after the second dose of COVID-19 vaccination.     

A Randomized Controlled Trial of Envarsus Versus Immediate Release Tacrolimus in Kidney Transplant Recipients With Delayed Graft Function

BackgroundThe incidence of delayed graft function (DGF) among kidney transplant recipients (KTRs) in the United States continues to increase. The effect of immediate-release tacrolimus (tacrolimus) compared with extended-release tacrolimus (Envarsus) among recipients with DGF is unknown.MethodsThis was a single-center open-label randomized control trial among KTRs with DGF (ClinicalTrials. gov, NCT03864926). KTRs were randomized either to continue on tacrolimus or switch to Envarsus at a 1:1 ratio. Duration of DGF (study period), number of dialysis treatments, and need for adjustment of calcineurin inhibitor (CNI) doses during the study period were outcomes of interest.ResultsA total of 100 KTRs were enrolled, 50 in the Envarsus arm and 50 in the tacrolimus arm; of those, 49 in the Envarsus arm and 48 in the tacrolimus arm were included for analysis. There were no differences in the baseline characteristics, all P > .5, except donors in the Envarsus arm had higher body mass index (mean body mass index 32.9 ± 11.3 vs 29.4 ± 7.6 kg/m² [P = .007]) compared with the tacrolimus arm. The median duration of DGF (5 days vs 4 days, P = .71) and the number of dialysis treatments (2 vs 2, P = .83) were similar between the groups. However, the median number of CNI dose adjustments during the study period in the Envarsus group was significantly lower (3 vs 4, P = .002).ConclusionsEnvarsus patients had less fluctuation in the CNI level, requiring fewer CNI dose adjustments. However, there were no differences in the DGF recovery duration or number of dialysis treatments.     

Association of Alpha-Actinin-3 Polymorphism With Sarcopenia in Kidney Transplant Recipients

BackgroundSarcopenia is defined as the loss of skeletal muscle mass and function and is associated with increased mortality. Certain genetic polymorphisms represent risk factors used to assess the incidence of sarcopenia; however, few studies have evaluated the association between genetic polymorphisms and sarcopenia after kidney transplantation (KTx). We examined single-nucleotide polymorphisms (SNPs) in the genes involved in sarcopenia after KTx.MethodsSixty-five patients who underwent KTx were enrolled in this study. We used the psoas mass index (PMI; the cross-sectional area of the bilateral psoas muscle/height) as a surrogate marker for assessing the extent of sarcopenia. We determined the PMI before KTx and 1 year after KTx, and we identified 5 SNPs in 5 genes associated with sarcopenia in the general population. Finally, the link between the changes in PMI 1 year after KTx and each SNP was examined.ResultsThe median PMI before KTx and 1 year after KTx was 7.4 (4.6-13.2) and 7.0 (3.6-13.6), respectively. The PMI decreased in 43 patients (66.2%). The alpha-actinin-3 rs1815739 genotype was associated with changes in PMI; the distribution of CT+TT genotypes in the PMI decrease group was significantly higher than that of the CC genotype (odds ratio, 4.23; 95% CI 0.05-0.97; P = 0.025). Moreover, the T allele frequency was significantly higher in the PMI decrease group than in the PMI increase group (odds ratio, 2.34; 95% CI 0.18-0.950; P = 0.025).ConclusionThe alpha-actinin-3 rs1815739 genotype may represent a genetic risk factor for sarcopenia after KTx.     

Alemtuzumab Induction and Antibody-Mediated Rejection in Kidney Transplantation

BackgroundInduction therapy improves graft outcomes in kidney transplant recipients (KTRs). We aimed to compare the incidences of antibody-mediated rejection (AMR) and acute cellular rejection (ACR) as well as graft and patient outcomes in KTRs who underwent induction with alemtuzumab versus rabbit-antithymocyte globulin (r-ATG).MethodsThis was a single-center retrospective study involving patients who underwent kidney transplantation between January 2009 and December 2011 after receiving induction therapy with either alemtuzumab or r-ATG. Maintenance immunosuppression included tacrolimus and mycophenolate mofetil with early steroid withdrawal. Acute rejection was diagnosed using allograft biopsy.ResultsAmong the 108 study patients, 68 received alemtuzumab and 40 got r-ATG. There was a significantly higher incidence of AMR (15% vs 2.5%; P = .008) and similar incidence of ACR (4.4% vs 10%; P = .69) for alemtuzumab versus r-ATG groups. One-year serum creatinine levels (l.68 ± 0.8 mg/dL vs 1.79 ± 1.8 mg/dL; P = .66) as well as graft (91.1 ± 3.5% vs 94.5 ± 3.8%; P = .48) and patient (93.8 ± 3.0% vs 96.4 ± 3.5%; P = .92) survivals were similar for the alemtuzumab versus the r-ATG groups.ConclusionOur study showed a higher incidence of AMR and similar incidence of ACR in KTRs who underwent induction with alemtuzumab compared with those who received r-ATG and were maintained on tacrolimus and MMF. This was despite a lower HLA mismatch in the alemtuzumab group. One-year graft survival, patient survival, and allograft function were similar. Inadequate B-cell suppression by alemtuzumab as well as altered phenotypic and functional properties of repopulating B cells could be contributing to heightened risk of AMR in these patients.     

Effect of Delayed Graft Function on the Outcome and Allograft Survival of Kidney Transplanted Patients from a Deceased Donor

BackgroundIn kidney transplantation (KT), delayed graft function (DGF) is a significant early complication observed in the first week. The study aimed to investigate the impact of DGF on the outcome, allograft, and patient survival after KT with organs from deceased donors.MethodsThis retrospective study was conducted using 304 KT patients who received an organ from deceased donors from 2008 to 2018. The patients were divided into 2 groups, DGF positive (DGF⁺) and DGF negative (DGF^–). The database containing the clinical, laboratory, and immunologic information of donors and recipients was statistically analyzed using the SSPS program.ResultsIn this study, 189 (62.17%) were DGF⁺ and 115 (37.83%) were DGF^–. Until 6 months after KT, the estimate glomerular filtration rate was better in group DGF^–, but it was similar between the groups during 10-year follow-up. Graft losses were higher in DGF⁺ group than in the DGF^– (P = .046). The serum creatinine level was persistently higher in DGF⁺ group until the sixth month (P ≤ .05). Allograft survival rates were better in patients who were DGF^– (P = .033). Those who had DGF for more than 15 days had a worse graft survival (P = .003), but in 10 year follow-up, patient survival rates were similar (P = .705).ConclusionDGF⁺ patients were associated with dialysis time before KT, ischemia time, and the donors’ clinical status, such as age, organ quality, and serum creatinine. All these factors had a great impact on graft survival but not on patient survival.     

Procurement Biopsies Can Predict Unfavorable Outcomes in Kidneys With Low MAPI Score Values

BackgroundThere are few reports about the usefulness of Maryland Aggregate Pathology Index (MAPI) score in procurement biopsies. This study aimed to evaluate the association between histopathological analysis according to MAPI and unfavorable outcomes in the first year after kidney transplantation (KT).MethodsThis retrospective study included deceased-donor KT patients whose grafts were biopsied before transplantation and had low MAPI scores (<8) in frozen sections (FSs). Paraffin sections (PSs) were analyzed after KT. MAPI parameters were global glomerulosclerosis in more than 15% (2 patients), periglomerular fibrosis (4 patients), wall-lumen ratio of arteries >0.5 (2 patients), arteriolar hyalinosis (4 patients), and interstitial scar (3 patients). Multivariable models were used to analyze risk factors for delayed graft function (DGF), prolonged DGF, inferior renal function, and graft loss (P < .05).ResultsOne hundred fifty-nine KTs were included. Donors (n = 120) were predominantly men (70%) and young adults (37.68 ± 12.50 years old) who suffered a traumatic death (55.8%). Recipients were predominantly men (62.26%) and adults (45.70 ± 15.80 years old) with kidney disease of unknown etiology (39.6%). Low rates of agreement between FS and PS were observed for all MAPI criteria, with kappa values ranging from 0.28 to 0.51. Using FS, no histologic parameter was independently associated with outcomes. After adjustment, glomerulosclerosis was an independent risk factor for prolonged DGF (odds ratio = 6.18: 95% confidence interval, 1.27-30.18) and wall-lumen ratio >0.5 for inferior renal function at 1 year (odds ratio = 4.08; 95% confidence interval, 1.21-13.76).ConclusionProcurement biopsies can be useful to predict inferior outcomes even in kidneys with low MAPI scores.     

Donor Ethnicity and Kidney Transplant Outcomes in African Americans

BackgroundTransplantation of African American (AA) compared to non-AA donor kidneys is generally associated with inferior outcomes. It is unclear whether enhanced genetic risk associated with AA donor kidneys would be counterbalanced by favorable immunologic matching when AA donor kidneys are transplanted into AA recipients. We aimed to compare the outcomes of AA vs non-AA deceased-donor kidneys (DDKs) stratified by kidney donor profile index (KDPI) that were transplanted into AA recipients.MethodsUsing the Organ Procurement and Transplant Network/United Network for Organ Sharing database, we identified AA DDK recipients from 2000 to 2015 who received peri-operative induction followed by calcineurin inhibitor/mycophenolate mofetil maintenance. These patients were divided into 4 KDPI groups (0%-20%, 21%-50%, 51%-85%, and 86%-100%). Adjusted long-term graft and patient outcomes were compared between AA recipients of kidneys from AA vs non-AA donors in each KDPI category using a multivariable Cox model.ResultsAmong a total of 17,516 AA DDK transplant recipients, 3303 were in KDPI 0%-20% (AA donor = 239; non-AA donor = 3064), 5821 in KDPI 21%-50% (AA donor = 1414; non-AA donor = 4407), 6364 in KDPI 51%-85% (AA donor = 1619; non-AA donor = 4745), and 2028 in KDPI 86%-100% (AA donor = 932; non-AA donor = 1096) groups. Adjusted overall graft, death-censored graft, and patient survival were similar between AA recipients of AA vs non-AA donor kidneys across all KDPI groups.DiscussionOur study showed similar outcomes for transplanting AA vs non-AA deceased-donor kidneys into AA recipients despite the generally observed inferior outcomes associated with AA donor kidney transplantation.     

Outcomes of Older Patients in the Recent Era of Heart Kidney Transplantation

Background and ObjectiveVariable age thresholds are often used at transplant centers for simultaneous heart and kidney transplantation (HKT). We hypothesize that selected older recipients enjoy comparable outcome to younger recipients in the current era of HKT.MethodsWe performed a retrospective analysis of HKT outcomes in the United Network for Organ Sharing (UNOS) registry from 2006 to 2018, classifying patients by age at transplant as ≥ 65 or < 65 years. The primary outcome was patient death. Secondary outcomes included all-cause kidney graft failure and death-censored kidney allograft failure.ResultsOf 973 patients, 774 (80%) were younger than 65 years (mean 52 ± 10 years) and 199 (20%) were 65 years or older (mean 67 ± 2 years). The older HKT cohort had fewer blacks (22% vs 35%, P = .01) and women (12 vs 18%, P = .04). Fewer older patients received dialysis (30% vs 54%, P < .001) and mechanical support (36% vs 45%, P = .03) before HKT. Older recipients received organs from slightly older donors. The median follow-up time was shorter for patients 65 years or older than for the younger group (2.3 vs 3.3 years, P < .001). Patient survival was similar between the groups (mean 8.8 vs 9.8 years, P = .3), with the most common causes of death being cardiovascular (29%) and infectious complications (28%). There was no difference in all-cause kidney graft survival (mean 8.7 vs 9.3 years, P = .8). Most commonly, recipients died with a functional renal allograft (59.8%), and this occurred more commonly in older patients (81.4% vs 54.8%, P = .001). Cox proportional hazard modeling showed that higher donor age (hazard ratio [HR] 1.015, P = .01; HR 1.022, P = .02) and use of pre-transplant dialysis (HR 1.5, P = .004; HR 1.8, P = .006) increased the risk for both all-cause and death-censored kidney allograft failure, respectively.ConclusionsOur study showed that carefully selected older patients have outcomes similar to those of a younger cohort and argues for comprehensive evaluation of the recipients with age as part of comorbidity assessment rather than use of an arbitrary age threshold for candidacy.     

RIFLE Criteria for Acute Kidney Dysfunction Following Heart Transplantation: Incidence and Risk Factors

Background and PurposeThere are few data regarding the occurrence of (RIFLE)-based acute kidney dysfunction (AKD) after heart transplantation (HT) and its risk factors. The aim of this study was to apply RIFLE criteria in patients who developed AKD following HT to compare patients with and without AKD and to determine incidence and risk factors of AKD.Patients and MethodsWe retrospectively analyzed the records of 65 patients who underwent HT between 2003 and 2012. We investigated 3 levels of renal dysfunction outlined in RIFLE criteria: risk (R), injury (I), and failure (F). Appropriate class was assigned comparing baseline creatinine level to peak levels in the first 7 days after HT. Perioperative variables of heart transplant recipients were collected.ResultsThe mean age at transplantation was 32.8 ± 16.6 years with 72.7% males. The incidence of AKD was 61%, risk occured in 18%, injury in 16%, and failure in 27% of the patients. Patients who had AKD were significantly older (37.9 ± 15.6 vs 24.6 ± 15.0 years: P = .008), had higher body mass index (24.7 ± 6.7 vs 18.6 ± 4.3; P = .002), and more frequently had history of hypertension (92% vs 8%; P = .011) and smoking (100% vs 0%; P = .008) when compared with those who did not have AKD. When compared with patients who did not develop AKD postoperatively, preoperative higher creatinine levels (1.1 ± 0.3 vs 0.8 ± 0.4; P = .025), intraoperative higher mean arterial pressures (99.2 ± 14.1 vs 89.0 ± 11.4 mm Hg; P = .011), a higher frequency of intraoperative acidosis (81% vs 19%; P = .041), higher lactate levels (5.1 ± 3.8 vs 2.8 ± 1.7 mmol/L; P = .038), and postoperative more frequent use of cyclosporine (91% vs 9%; P = .025) were seen in those who developed AKD. Logistic regression analysis revealed that age (odds ratio [OR], 1.057; 95% confidence interval [CI], 1.010–1.106; P = .018) and use of cyclosporine (OR, 0.099; 95% CI, 0.010–0.935; P = .043) were independent risk factors for AKD.ConclusionsOur results suggest that based on RIFLE criteria, AKD occur in more than half of HTs postoperatively. Older age and use of cyclosporine are associated with AKD following HT.     

Early technical pancreas failure in Simultaneous Pancreas–Kidney Recipients does not impact renal allograft outcomes

Early pancreas loss in simultaneous pancreas–kidney (SPK) transplants has been associated with longer perioperative recovery and reduced kidney allograft function. We assessed the impact of early pancreas allograft failure on transplant outcomes in a contemporary cohort of SPK patients (n = 218). Early pancreas allograft loss occurred in 12.8% (n = 28) of recipients. Delayed graft function (DGF) was more common (21.4% vs. 7.4%, p = 0.03) in the early pancreas loss group, but there were no differences in hospital length of stay (median 6.5 vs. 7.0, p = 0.22), surgical wound complications (p = 0.12), or rejection episodes occurring in the first year (p = 0.87). Despite differences in DGF, both groups had excellent renal function at 1 year post‐transplant (eGFR 64.1 ± 20.8 vs. 65.8 ± 22.9, p = 0.75). There were no differences in patient (HR 0.58, 95% CI 0.18–1.87, p = 0.26) or kidney allograft survival (HR 0.84, 95% CI 0.23–3.06, p = 0.77). One‐ and 2‐year protocol kidney biopsies were comparable between the groups and showed minimal chronic changes; the early pancreas loss group showed more cv changes at 2 years (p = 0.04). Current data demonstrate good outcomes and excellent kidney allograft function following early pancreas loss.     

Nutritional Parameters in Early and Late Kidney Transplantation

BackgroundKidney transplantation (KT) has the advantage of providing a better quality of life and freedom for the patient. However, nutritional changes can occur, with clinical repercussions. The aim of the study was to compare the nutritional status in the initial and late post-KT period.MethodsA cross-sectional study was conducted involving 169 outpatients post-KT. Clinical, demographic, biochemical, food intake, handgrip strength (HGS), and anthropometric data were collected from medical records for the first nutritional care after KT. Statistical tests were performed to compare the groups according to the time of KT: early (≤1 year) and late (>1 year). The level of significance adopted was 5%.ResultsThe median age of the patients was 46 years (range, 38-57), 50.3% were men, and it was observed that 66.9% underwent KT with a deceased donor. There was a higher prevalence of diabetes mellitus (42.6% vs 23.5%; P = .011), and higher body mass index (28.80 ± 7.26 vs 26.51 ± 6.62 kg/m²; P = .046), arm muscle circumference (25.84 ± 4.63 vs 24.09 ± 3.36 cm; P = .019), and HGS (26.97 ± 10.70 vs 20.21 ± 10.83 kg; P = .010) in patients with late KT. Linear regression analysis showed that at each log of time, there was an increase of 1.90 kg in HGS (P = .045) and 0.48 cm (P = .036) in mid-arm muscle circumference.ConclusionThe present study demonstrated that late kidney transplantation was associated with higher values of body mass index, mid-arm muscle circumference, and HGS.