Low muscle mass and early hospital readmission post-kidney transplantation

Author(s):  
Limy Wong ◽  
Annette B. Kent ◽  
Darren Lee ◽  
Matthew A. Roberts ◽  
Lawrence P. McMahon
2012 ◽  
Vol 12 (12) ◽  
pp. 3283-3288 ◽  
Author(s):  
M. A. McAdams-DeMarco ◽  
M. E. Grams ◽  
E. C. Hall ◽  
J. Coresh ◽  
D. L. Segev

2014 ◽  
Vol 14 (2) ◽  
pp. 397-403 ◽  
Author(s):  
M. A. McAdams-DeMarco ◽  
M. E. Grams ◽  
E. King ◽  
N. M. Desai ◽  
D. L. Segev

2016 ◽  
Vol 31 (suppl_1) ◽  
pp. i57-i58
Author(s):  
Winnie Chan ◽  
Jos Bosch ◽  
Okdeep Kaur ◽  
Anna Phillips ◽  
Richard Borrows

2013 ◽  
Vol 13 (8) ◽  
pp. 2091-2095 ◽  
Author(s):  
M. A. McAdams-DeMarco ◽  
A. Law ◽  
M. L. Salter ◽  
E. Chow ◽  
M. Grams ◽  
...  

2018 ◽  
Vol 102 (4) ◽  
pp. e171-e179 ◽  
Author(s):  
Kyla L. Naylor ◽  
Gregory A. Knoll ◽  
Britney Allen ◽  
Alvin H. Li ◽  
Amit X. Garg ◽  
...  

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S931-S931
Author(s):  
Evelyn Villacorta ◽  
Luis Acosta ◽  
Thein Myint ◽  
Nicole Leedy ◽  
Ana Lia Castellanos ◽  
...  

Abstract Background Sarcopenia (reduced skeletal muscle mass) has been associated with serious infection in liver transplant recipients. We analyzed the association of sarcopenia and early post-surgical infections in kidney transplant recipients. Methods Retrospective cohort study of 125 patients underwent kidney transplantation from 2010 to 2014 at University of Kentucky Medical Center. Sarcopenia was diagnosed by measuring the skeletal muscle mass on computed tomography imaging obtained during the pre-transplant evaluation using SliceOmatic 5.0 software at L3 level (≤ 52.4 cm2/m2 in males and ≤ 38.5 cm2/m2 in females). Early post-transplant infections were confirmed by positive culture from blood, urine, and/or peritoneal fluid within 30 days after kidney transplantation. A generalized linear model (GLM) was used to identify variables predictive of post- surgical infection and Risk Ratio (RR) was obtained, with a P-value of < 0.05. The statistical analysis was performed with STATA version 12.0 (College Station, Texas). Results Among 125 patients, 52 (41.6%) were identified with sarcopenia, 110 (88.0%) patients were white, 76 (60.8%) male, with a median age of 56 (range 20–72) at the time of transplant. Diabetes was reported in 50 (40.0%) patients, obesity in 64 (51.6%) patients and smoking in 43 (34.6%) patients. Six (4.8%) patients had graft failure. Infections were identified in 22 (17.6%) patients, more than one source of infection was reported in 4 (3.2%) cases. The most common infections were urinary tract infection in 13 (10.4%) patients and bacteremia in 5 (4.0%) patients. The median time to development of infection was 9 days (range 1–27). In the bivariate analysis, sarcopenia was associated with high risk of post-surgical infections (RR 2.45; 95% CI 1.10–5.44). In multivariable analysis, sarcopenia was a significant independent predictor of infection (RR 2.58; 95% CI 1.20–5.52). None associations were found with other variables; age over 40 years, male sex, smoking, obesity and diabetes. Conclusion Our study suggested that sarcopenia was associated with an increased risk of early post-surgical infection in kidney transplant recipients. Disclosures All authors: No reported disclosures.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Yiman Wang ◽  
Martin Heemskerk ◽  
Aiko De Vries ◽  
Wieneke Michels ◽  
Friedo W Dekker

Abstract Background and Aims Hospital readmission after kidney transplantation remains a burden not only for the kidney transplant recipients (KTRs) but also for the healthcare system. Therefore, it can also indicate the quality of care. The causes of hospital readmission in KTRs mainly include problematic graft function and complications caused by the invasive procedure or immunosuppressive regime. In the Netherlands, almost 1000 kidney transplantations are performed annually with an aging recipient population. In spite of the benefit of living donor transplantation, roughly half of the patients will receive a graft from a donor donating after cardiac death(DCD) or brain death(DBD). From 2000 to 2017 the DCD procedure accounted for 43% of all deceased donors in the Netherlands, which is the highest worldwide. With this analysis, we aim to investigate the effect of donor type on 3-month hospital readmission after kidney transplantation and also investigate this effect in different age groups. Method Our study was conducted with data abstracted from the Netherlands Organ Transplant Registry (NOTR). We retrieved data for all first-time KTRs over 18 years old from 1st Jan 2016 to 31st Dec 2018. A multivariate logistic regression model with multiple imputation for missing values was used to estimate the hazard ratio (HR) of post-transplant 3-month hospital readmission for different donor types and control for confounding. KTRs with living or deceased donors and KTRs with DCD or DBD donors were compared, respectively. Subgroup group analysis was conducted to investigate the effect of different donor types on 3-month hospital readmission within different recipient age groups( age below 65 vs 65 years or older). Results Among 1917 first-time KTRs surviving 3 months with a functioning graft, 941 (49,1%) had no hospital readmission, 371 (19,4%) had one readmission in this period, and 244 (12,7%) had two or more readmissions (361 (18,8%) with missingness in readmission). Within the cohort, 1163(60,7%) received a graft from a living donor, 281(14,7%) from DBD donors and 473(24,7%) from DCD donors. 259(23,3,%) recipients with living donor kidney transplantation were 65 years old or older while it is 104 (43,3%) for recipients with DBD donors and 172(41,5%) for recipients with DCD donors. KTRs with living donors were at lower risk of 3-month hospital readmission after transplantation compared to those with deceased donors (HR, 0,77; 95%CI, 0,61 to 0,95). The difference was consistent in KTRs under 65 years old (HR, 0,70; 95%CI, 0,53 to 0,92) but disappeared in KTRs above 65 years old(HR, 0,90; 95%CI: 0,60 to 1,35) in subgroup analysis. KTRs with DCD and DBD donors had a similar risk of 3-month hospital readmission. Conclusion Kidney transplant recipients younger than 65 years of age with a living donor have a lower risk of post-transplant 3-month hospital readmission compared to those with a deceased donor. KTRs at an age of 65 or above KTRs with either a DCD or DBD donor are similar with regard to 3-month hospital readmission across different age groups.


Author(s):  
Mahmoud Tavakkoli ◽  
Amir Yarahmadi ◽  
Mahin Ghorban Sabbagh ◽  
Mona Najaf Najafi ◽  
Milad Tavakoli ◽  
...  

Background and Purpose: Hospital readmission after kidney transplantation is a real challenge for both patients and healthcare systems. Assessment of the risk factors of readmission after kidney transplantation is vital and can reduce morbidity and cost in transplant recipients and donors. The aim of the current study was to determine the risk factors of hospital readmission in patients undergoing kidney transplantation in Montaserieh Hospital of Mashhad, northeast of Iran. Materials and Methods: This retrospective study included 523 first kidney transplant patients between January 2013 and March 2019 from the Montaserieh Hospital Information System (HIS) of Mashhad, Iran. Every-time readmission was the study primary outcome. Donors and recipient's demographic data, recipient's comorbidities, reasons for end-stage renal disease (ESRD), panel reactive antibody (PRA) status, dialysis parameters, cold ischemic time, and delayed graft function (DGF) were the potential risk factors. Statistical analysis was done using Chi-square and Student's t-test. Results: Data from 523 patients were assessed for potential eligibility. Based on the exclusion criteria, data from 479 patients were included in the final analysis. 174 (36.3%) patients were never readmitted, and 305 (63.7%) were readmitted at least once post-discharge. 39 (12.8%) were readmitted within the first-month post-discharge. Older age, sex, higher prevalence of comorbidities, diabetes and hypertension, duration of primary disease before transplantation, hemodialysis and duration of pre-transplant dialysis, mean pre-transplant platelet count, intraoperative complications, increased cold ischemic time, and delayed graft function were associated with a higher prevalence of readmission (p<0.05). Conclusion Our results showed that different independent variables and patients' comorbidities were important risk factors for readmission after kidney transplantation. Early prediction of these risk factors could result in prevention from readmission in patients undergoing kidney transplantation.


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