Increased Rejection rates in kidney transplantations during the COVID‐19 Pandemic

Data reporting the experience with an optical mark page reader is presented (IBM 1231Ν1). Information from 52,000 persons was gathered in seven countries, decentrally coded and centrally processed. Reader performance rates (i.e. sheets read per hour, sheet rejection rates, reading error rates) and costs (coding, verification, reading, etc.) are given.

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Epidemiology, Risk Factors, and Outcomes of Opportunistic Infections after Kidney Allograft Transplantation in the Era of Modern Immunosuppression: A Monocentric Cohort Study

Journal of Clinical Medicine ◽

10.3390/jcm8050594 ◽

2019 ◽

Vol 8 (5) ◽

pp. 594 ◽

Cited By ~ 4

Author(s):

Philippe Attias ◽

Giovanna Melica ◽

David Boutboul ◽

Nathalie De Castro ◽

Vincent Audard ◽

...

Keyword(s):

Risk Factors ◽

Protective Factor ◽

Opportunistic Infections ◽

Control Group ◽

Kidney Allograft ◽

Extended Criteria Donor ◽

Allograft Transplantation ◽

Kidney Recipients ◽

Independent Risk Factors ◽

Kidney Transplantations

Epidemiology of opportunistic infections (OI) after kidney allograft transplantation in the modern era of immunosuppression and the use of OI prevention strategies are poorly described. We retrospectively analyzed a single-center cohort on kidney allograft adult recipients transplanted between January 2008 and December 2013. The control group included all kidney recipients transplanted in the same period, but with no OI. We analyzed 538 kidney transplantations (538 patients). The proportion of OI was 15% (80 and 72 patients). OI occurred 12.8 (6.0–31.2) months after transplantation. Viruses were the leading cause (n = 54, (10%)), followed by fungal (n = 15 (3%)), parasitic (n = 6 (1%)), and bacterial (n = 5 (0.9%)) infections. Independent risk factors for OI were extended criteria donor (2.53 (1.48–4.31), p = 0.0007) and BK viremia (6.38 (3.62–11.23), p < 0.0001). High blood lymphocyte count at the time of transplantation was an independent protective factor (0.60 (0.38–0.94), p = 0.026). OI was an independent risk factor for allograft loss (2.53 (1.29–4.95), p = 0.007) but not for patient survival. Post-kidney transplantation OIs were mostly viral and occurred beyond one year after transplantation. Pre-transplantation lymphopenia and extended criteria donor are independent risk factors for OI, unlike induction therapy, hence the need to adjust immunosuppressive regimens to such transplant candidates.

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Clinical impact of serum bilirubin levels on kidney transplant outcomes

Scientific Reports ◽

10.1038/s41598-021-86330-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Juhan Lee ◽

Eun Jin Kim ◽

Jae Geun Lee ◽

Beom Seok Kim ◽

Kyu Ha Huh ◽

...

Keyword(s):

Kidney Transplant ◽

Graft Failure ◽

Serum Bilirubin ◽

Graft Loss ◽

Multivariable Analysis ◽

Post Transplantation ◽

Transplant Outcomes ◽

Increased Risk ◽

All Cause Mortality ◽

Kidney Transplantations

AbstractSerum bilirubin, a potent endogenous antioxidant, has been associated with decreased risks of cardiovascular disease, diabetes, and kidney disease. However, the effects of serum bilirubin on kidney transplant outcomes remain undetermined. We analyzed 1628 patients who underwent kidney transplantations between 2003 and 2017. Patients were grouped into sex-specific quartiles according to mean serum bilirubin levels, 3–12 months post-transplantation. Median bilirubin levels were 0.66 mg/dL in males and 0.60 mg/dL in females. The intra-individual variability of serum bilirubin levels was low (9%). Serum bilirubin levels were inversely associated with graft loss, death-censored graft failure, and all-cause mortality, independent of renal function, donor status, and transplant characteristics. Multivariable analysis revealed that the lowest serum bilirubin quartile was associated with increased risk of graft loss (HR 2.64, 95% CI 1.67–4.18, P < 0.001), death-censored graft failure (HR 2.97, 95% CI 1.63–5.42, P < 0.001), and all-cause mortality (HR 2.07, 95% CI 1.01–4.22, P = 0.046). Patients with lower serum bilirubin were also at greater risk of rejection and exhibited consistently lower glomerular filtration rates than those with higher serum bilirubin. Serum bilirubin levels were significantly associated with transplantation outcomes, suggesting that bilirubin could represent a therapeutic target for improving long-term transplant outcomes.

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RISK FACTORS OF DELAYED GRAFT FUNCTION IN CADAVERIC KIDNEY TRANSPLANTATIONS: A MULTICENTER REPORT FROM CHINA.

Transplantation Journal ◽

10.1097/00007890-200607152-02642 ◽

2006 ◽

Vol 82 (Suppl 2) ◽

pp. 937-938

Author(s):

&NA;

Keyword(s):

Risk Factors ◽

Graft Function ◽

Delayed Graft Function ◽

Kidney Transplantations ◽

Cadaveric Kidney

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LONG-TERM GRAFT SURVIVAL AFTER UROLOGICAL COMPLICATIONS OF 695 KIDNEY TRANSPLANTATIONS

The Journal of Urology ◽

10.1016/s0022-5347(05)66234-9 ◽

2001 ◽

Vol 165 (6 Part 1) ◽

pp. 1884-1887 ◽

Cited By ~ 34

Author(s):

J. HERMAN van ROIJEN ◽

WIM J. KIRKELS ◽

ROBERT ZIETSE ◽

JOKE I. ROODNAT ◽

WILLEM WEIMAR ◽

...

Keyword(s):

Graft Survival ◽

Urological Complications ◽

Kidney Transplantations

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Comparison of anterior and posterior chamber implantation of iris claw lens in corneal transplant patients

European Eye Research ◽

10.14744/eer.2021.09719 ◽

2021 ◽

Vol 1 (1) ◽

Author(s):

Mine Esen Baris

Keyword(s):

Corneal Transplantation ◽

Posterior Chamber ◽

Corneal Transplant ◽

Complication Rates ◽

Transplant Patients ◽

Support Methods ◽

Iris Claw Lens ◽

Iris Claw ◽

Rejection Rates

INTRODUCTION: To compare the surgical outcomes of anterior chamber (AC) and posterior chamber (PC) implantation of iris claw lens (ICL) combined with penetrating corneal transplantation (P-CT), in eyes with no capsular support. METHODS: The records of 20 P-CT cases who underwent ICL implantation were retrospectively evaluated. The eyes were grouped according to the location of implantation; AC ICL and PC ICL. Pre- and post-surgical best-corrected visual acuity (BCVA), post-operative complications and graft rejection rates were compared between the two groups. Mean follow-up time was 28 (range, 12 and 76) months. RESULTS: ICLs were implanted during P-CT surgery in 14 (70%) eyes, and as a secondary procedure after P-CT in 6 (30%) eyes. ICLs were implanted in PC in 12 (60%) and in AC in 8 (40%) eyes. Mean preoperative BCVA was 0.064 (range, 0.001-0.02) in PC group and 0.02 (range, 0.001-0.1) in AC group (p=0.86). Mean postoperative BCVA was 0.17 (range, 0.0001-1.0) in PC group and 0.14 (range, 0.0001-0.4) in AC group (p=0.81). Glaucoma developed in 5 (41.6%) eyes with PC ICL. No eye with AC ICL developed glaucoma over time. DISCUSSION AND CONCLUSION: Both AC and PC ICL implantation provide favorable visual outcomes and complication rates in CT patients. However, PC implantation of ICL seems to increase glaucoma incidence.

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How to decrease the rejection rates: reasons of sample rejection and solutions

Turkish Journal of Biochemistry ◽

10.1515/tjb-2017-0346 ◽

2018 ◽

Vol 43 (1) ◽

pp. 98-100

Author(s):

Saadet Celik ◽

Tuncay Seyrekel ◽

Medeni Arpa

Keyword(s):

Information System ◽

Patient Safety ◽

Standard Deviation ◽

Staff Training ◽

Training Group ◽

Laboratory Information System ◽

Important Place ◽

Number Of Patients ◽

Rejection Rates

AbstractObjective:Sample rejection is an important step in the laboratory related with the patient safety. Periodical analysis of rejected samples is necessary to define the causes of rejection and follow-up the requirements for staff training. In this study, we aimed to put forth the efficiency of trainings by analyzing the amount of rejected samples in Yozgat State Hospital.Materials and methods:Taken from laboratory information system (LIS), rejected sample statistics related to 8 month-data before training was compared with 8-month data after training between 07.2015 and 10.2016 are examined. These datas were compared in itself and to each other. All statistical analyses were performed using the SPSS (V15).Results:Before training, the average number of patients for the analysis included months was 34,733 [standard deviation (SD)±4031], the number of rejected samples was 397.7 (SD±85.3) and the average rejection percentage was 1.13 (min-max: 1–1.29). The average number of patients for the after training months was 39,426 (SD±4779), the number of rejected samples was 343.2 (SD±57.7) and the average rejection percentage was 0.87 (min-max: 0.62–0.98), Rejected sample rates were significantly lower interms of statistics in the after-training group (p=0.0001).Conclusion:Staff training takes a very important place preventing these mistakes. As it can be seen in our study, training helps decreasing rejection rates. It is suggested to schedule more trainings in order to decrease the rates to lower degrees.

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