OBJECTIVE: To investigate the causes of graft loss in kidney transplant recipients. METHODS: We retrospectively analyzed the clinical data of 135 recipients with graft loss after renal transplantation in the Eighth Medical Center of Chinese PLA General Hospital from January 1, 2002 to January 1, 2022. RESULTS: A total of 135 kidney transplant recipients experienced graft failure. The causes of graft loss included graft rejection (70 cases, 51.8%), death of the recipients with functional graft (37 cases, 27.4%), surgical complications (12 cases, 8.9%), drug toxicity (4 cases, 3.0%), carbapenem-resistant Klebsiella pneumoniae infection (4 cases, 3.0%), polyoma BK virus-related nephropathy (3 cases, 2.2%), primary nonfunctioning kidney (2 cases, 1.5%), recurrence of primary disease (2 cases, 1.5%), and prerenal acute renal failure (1 case, 0.7%). CONCLUSION The main cause of graft loss after renal transplantation is graft rejection, and the secondary cause is death of the recipient with functional graft, and other reasons can be rare.
Humans ; Graft Rejection ; Kidney Transplantation/adverse effects* ; Retrospective Studies

Kidney Transplantation/adverse effects* ; Magnetics ; Anastomosis, Surgical ; Magnetic Phenomena

With the rapid aging of the global population posing a serious problem, frailty, a non-specific state that reflects physiological senescence rather than aging in time, has become more widely addressed by researchers in various medical fields. A high prevalence of frailty is found among kidney transplant (KT) candidates and recipients. Therefore, their frailty has become a research hotspot in the field of transplantation. However, current studies mainly focus on the cross-sectional survey of the incidence of frailty among KT candidates and recipients and the relationship between frailty and transplantation. Research on the pathogenesis and intervention is scattered, and relevant review literature is scarce. Exploring the pathogenesis of frailty in KT candidates and recipients and determining effective intervention measures may reduce waiting list mortality and improve the long-term quality of life of KT recipients. Therefore, this review explains the pathogenesis and intervention measures for frailty in KT candidates and recipients to provide a reference for the formulation of effective intervention strategies.
Humans ; Frailty/epidemiology* ; Risk Factors ; Quality of Life ; Kidney Failure, Chronic ; Kidney Transplantation/adverse effects* ; Cross-Sectional Studies ; Transplant Recipients

Objective: To evaluate the short-and mid-term efficacy of pediatric kidney transplantation and the risk factors for kidney graft and recipient. Methods: The baseline data and postoperative complications of pediatric donors and recipients of 284 kidney transplants were retrospectively analyzed in the Department of Kidney Transplantation in the First Affiliated Hospital of Zhengzhou University from August 2010 to May 2021 and all subjects were followed up until December 31, 2021. According to the survival status of donors and recipients, they were divided into the graft-loss group and the graft-survival group, and the recipient death group and survival group, respectively. Univariate comparison between groups was performed by Log-rank test, and Cox proportional risk model was used to explore the independent risk factors for the graft and recipient survival. Results: Among the 284 children recipients, 184 cases (64.8%) were male and 100 cases(35.2%) were female, and 19 cases (6.7%) were living relative donor renal transplantation, 19 cases (6.7%) were preemptive transplantation, and 8 cases were secondary transplantation. The age of 284 recipients at the time of transplantation was 13.0 (9.0, 15.0) years, among whom 29 cases aged 0-6 years, 96 cases aged 7-11 years old, and 159 cases aged 12-18 years. The 1, 3, and 5 year survival rates were 92.3%, 88.9% and 84.8% for the kidney grafts, and were 97.1%, 95.6% and 94.4% for the recipients, respectively. Multivariate analysis showed postoperative acute rejection (HR=3.14, 95%CI 1.38-7.15, P=0.006) and perioperative vascular complications (HR=4.73, 95%CI 2.03-11.06, P<0.001) were independent risk factors for the survival of kidney graft. Postoperative infection (HR=14.23, 95%CI 3.45-58.72, P<0.001) was an independent risk factor for the postoperative mortality of recipients. Conclusions: Pediatric kidney transplantation shows a good short-and mid-term prognosis. Postoperative acute rejection and perioperative vascular complications are the risk factors for the survival of kidney graft, and postoperative infection is the risk factor affecting the survival of recipient.
Child ; Female ; Graft Rejection ; Graft Survival ; Humans ; Kidney Transplantation/adverse effects* ; Living Donors ; Male ; Postoperative Complications ; Prognosis ; Retrospective Studies ; Risk Factors

OBJECTIVES: After renal transplantation, patients need to take various immunosuppressant, but the drug compliance is poor. The theory of planned behavior suggests that the past medication behavior and subjective norms of individuals are closely related to medication compliance. This study aims to explore the change of medication compliance behavior and its influenting factors for renal transplantation patients at different stages. METHODS: This study was a prospective longitudinal study. The Basel Assessment of Adherence with Immunosuppressive Medication Scale (BAASIS), Medication Belief Scale, Social Support Scale and Quality of Life Scale were used to dynamically follow up renal transplantation patients at pre-operation and 1-month, 6-month, and 12-month after transplantation. RESULTS: A total of 300 patients completed the whole follow-up. The percentage of patients with good medication compliance was 97.60%, 87.30% and 84.30% at 1-month, 6-month and 12-month after transplantation respectively. The life quality of the patients was decreased at 6 months after the operation, and the patients with better self-reported life quality had poor medication compliance. After adjusting for demographic data, the risk of medication incompliance in patients with poor medication compliance before operation was 37.646 times than those with good compliance. Patients who did not use medication reminders had high risk (odds ratio=2.467) of drug non-adherence. The risk of drug non-adherence in patients with more postoperative misgivings was 1.265 times compared with that in patients with less postoperative misgivings. CONCLUSIONS The medication compliance decreases with the time of transplantation, but the medication compliance of patients with good self-reported life quality is poor. Medication concerns reduce the compliance behavior. Preoperative medication behavior has a significant predictive effect on postoperative behavior. Medication reminder is a protective factor for promoting compliance. Medical staff should pay more attention to preoperative medication belief, behaviors and reminder of using drug so as to provide precise intervention in the renal transplantation patients.
Humans ; Immunosuppressive Agents/therapeutic use* ; Kidney Transplantation/adverse effects* ; Longitudinal Studies ; Medication Adherence ; Prospective Studies ; Quality of Life

BACKGROUND: Although ABO-incompatible (ABOi) kidney transplantation (KT) has been performed successfully, a standard preconditioning regimen has not been established. Based on the initial antidonor ABO antibody titers, an individualized preconditioning regimen is developed, and this study explored the efficacy and safety of the regimen. METHODS: From September 1, 2014, to September 1, 2020, we performed 1668 consecutive living-donor KTs, including 100 ABOi and 1568 ABO-compatible (ABOc) KTs. ABOi KT recipients (KTRs) with a lower antibody titer (≤1:8) were administered oral immunosuppressive drugs (OIs) before KT, while patients with a medium titer (1:16) received OIs plus antibody-removal therapy (plasma exchange/double-filtration plasmapheresis), patients with a higher titer (≥1:32) were in addition received rituximab (Rit). Competing risk analyses were conducted to estimate the cumulative incidence of infection, acute rejection (AR), graft loss, and patient death. RESULTS: After propensity score analyses, 100 ABOi KTRs and 200 matched ABOc KTRs were selected. There were no significant differences in graft and patient survival between the ABOi and ABOc groups (P  = 0.787, P  = 0.386, respectively). After using the individualized preconditioning regimen, ABOi KTRs showed a similar cumulative incidence of AR (10.0% υs . 10.5%, P  = 0.346). Among the ABOi KTRs, the Rit-free group had a similar cumulative incidence of AR ( P  = 0.714) compared to that of the Rit-treated group. Multivariate competing risk analyses revealed that a Rit-free regimen reduced the risk of infection (HR: 0.31; 95% CI: 0.12-0.78, P  = 0.013). Notably, antibody titer rebound was more common in ABOi KTRs receiving a Rit-free preconditioning regimen ( P  = 0.013) than those receiving Rit. ABOi KTRs with antibody titer rebound had a 2.72-fold risk of AR (HR: 2.72, 95% CI: 1.01-7.31, P  = 0.048). ABOi KTRs had similar serum creatinine and estimated glomerular filtration rate compared to those of ABOc KTRs after the first year. CONCLUSIONS An individualized preconditioning regimen can achieve comparable graft and patient survival rates in ABOi KT with ABOc KT. Rit-free preconditioning effectively prevented AR without increasing the risk of infectious events in those with lower initial titers; however, antibody titer rebound should be monitored.
Humans ; Kidney Transplantation/adverse effects* ; Living Donors ; Kidney ; Immunosuppressive Agents/therapeutic use* ; Rituximab/therapeutic use* ; ABO Blood-Group System ; Graft Rejection ; Graft Survival

OBJECTIVES: To investigate the risk factors for acute kidney injury (AKI) after hematopoietic stem cell transplantation (HSCT) in children. METHODS: A retrospective analysis was performed on the medical data of 111 children who underwent HSCT from January 2018 to January 2020. A multivariate logistic regression analysis was used to identify the risk factors for AKI. The Kaplan-Meier survival analysis was used to compare the prognosis in children with different grades of AKI. RESULTS: Graft-versus-host disease (grade Ⅱ-Ⅳ) (OR=4.406, 95%CI: 1.501-12.933, P=0.007), hepatic veno-occlusive disease (OR=4.190, 95%CI: 1.191-14.740, P=0.026), and thrombotic microangiopathy (OR=10.441, 95%CI: 1.148-94.995, P=0.037) were closely associated with the development of AKI after HSCT. The children with stage Ⅲ AKI had a lower 1-year survival rate than those without AKI or with stage Ⅰ AKI or stage Ⅱ AKI (28.6%±12.1% vs 82.8%±5.2%/81.7%±7.4%/68.8%±11.6%; P<0.05). CONCLUSIONS Children with stage Ⅲ AKI after HSCT have a higher mortality rate. Graft-versus-host disease, hepatic veno-occlusive disease, and thrombotic microangiopathy are closely associated with the development of AKI after HSCT.
Child ; Humans ; Retrospective Studies ; Hematopoietic Stem Cell Transplantation/adverse effects* ; Graft vs Host Disease/complications* ; Risk Factors ; Acute Kidney Injury/therapy* ; Thrombotic Microangiopathies/complications*

BACKGROUND: The complement system plays an important role in the immune response to transplantation, and the diagnostic significance of peritubular capillary (PTC) C4d deposition (C4d+) in grafts is controversial. The study aimed to fully investigate the risk factors for PTC C4d+ and analyze its significance in biopsy pathology of kidney transplantation. METHODS: This retrospective study included 124 cases of kidney transplant with graft biopsy and donor-specific antibody (DSA) testing from January 2017 to December 2019 in a single center. The effects of recipient pathological indicators, eplet mismatch (MM), and DSAs on PTC C4d+ were examined using univariate and multivariate logistic regression analyses. RESULTS: In total, 35/124 (28%) were PTC C4d+, including 21 with antibody-mediated rejection (AMR), eight with renal tubular injury, three with T cell-mediated rejection, one with glomerular disease, and two others. Univariate analysis revealed that DSAs (P < 0.001), glomerulitis (P < 0.001), peritubular capillaritis (P < 0.001), and human leukocyte antigen (HLA) B eplet MM (P = 0.010) were the influencing factors of PTC C4d+. According to multivariate analysis, DSAs (odds ratio [OR]: 9.608, 95% confidence interval [CI]: 2.742-33.668, P < 0.001), glomerulitis (OR: 3.581, 95%CI: 1.246-10.289, P = 0.018), and HLA B eplet MM (OR: 1.166, 95%CI: 1.005-1.353, P = 0.042) were the independent risk factors for PTC C4d+. In receiver operating characteristic curve analysis, the area under the curve was increased to 0.831 for predicting PTC C4d+ when considering glomerulitis, DSAs, and HLA B eplet MM. The proportions of HLA I DSAs and PTC C4d+ in active antibody-mediated rejection were 12/17 and 15/17, respectively; the proportions of HLA class II DSAs and PTC C4d+ in chronic AMR were 8/12 and 7/12, respectively. Furthermore, the higher the PTC C4d+ score was, the more serious the urinary occult blood and proteinuria of recipients at the time of biopsy. CONCLUSIONS PTC C4d+ was mainly observed in AMR cases. DSAs, glomerulitis, and HLA B eplet MM are the independent risk factors for PTC C4d+.
Allografts ; Biopsy ; Complement C4b ; Graft Rejection ; HLA Antigens ; HLA-B Antigens ; Humans ; Kidney Transplantation/adverse effects* ; Peptide Fragments ; Retrospective Studies ; Risk Factors

Allografts ; COVID-19 ; China/epidemiology* ; Disease Outbreaks ; Humans ; Kidney Transplantation/adverse effects* ; SARS-CoV-2

BACKGROUND: Delayed graft function (DGF) is the main cause of renal function failure after kidney transplantation. This study aims at investigating the value of hypothermic machine perfusion (HMP) parameters combined with perfusate biomarkers on predicting DGF and the time of renal function recovery after deceased donor (DD) kidney transplantation. METHODS: HMP parameters, perfusate biomarkers and baseline characteristics of 113 DD kidney transplantations from January 1, 2019 to August 31, 2019 in the First Affiliated Hospital of Xi'an Jiaotong University were retrospectively analyzed using univariate and multivariate logistic regression analysis. RESULTS: In this study, the DGF incidence was 17.7% (20/113); The multivariate logistic regression results showed that terminal resistance (OR: 1.879, 95% CI 1.145-3.56) and glutathione S-transferase (GST)(OR = 1.62, 95% CI 1.23-2.46) were risk factors for DGF; The Cox model analysis indicated that terminal resistance was an independent hazard factor for renal function recovery time (HR = 0.823, 95% CI 0.735-0.981). The model combining terminal resistance and GST (AUC = 0.888, 95% CI: 0.842-0.933) significantly improved the DGF predictability compared with the use of terminal resistance (AUC = 0.756, 95% CI 0.693-0.818) or GST alone (AUC = 0.729, 95% CI 0.591-0.806). CONCLUSION According to the factors analyzed in this study, the combination of HMP parameters and perfusate biomarkers displays a potent DGF predictive value.
Biomarkers ; Delayed Graft Function ; Graft Survival ; Humans ; Kidney/physiology* ; Kidney Transplantation/adverse effects* ; Organ Preservation ; Perfusion ; Retrospective Studies ; Tissue Donors