Literature DB >> 9267712

Risk factors for prolonged hospitalization after kidney transplants.

A J Matas1, K J Gillingham, B A Elick, D L Dunn, R W Gruessner, W D Payne, D E Sutherland, J S Najarian.   

Abstract

A major variable in the cost of kidney transplants is the length of initial hospitalization. Using multivariate analysis, we studied risk factors for hospital stay > 10 d post-transplant. Between 1 January 1985 and 31 August 1995 a total of 1588 patients underwent first or second kidney transplants at the University of Minnesota. Antibody was used for 1 wk in cadaver donor recipients and for 2 wk in pediatric recipients (resulting in a long stay for all pediatric recipients). Adult living related donor recipients were immunosuppressed with triple therapy. Donor risk factors studied were age (< 15, 15-50, > 50 yr) and,- for cadaver recipients, preservation time (< 12, 12-18, 18-24, 24-30, > 30 h) and cause of death (trauma, cerebrovascular accident, or cardiac). Recipient risk factors studied were age (< 18, 18-55, > 55 yr); sex; transplant number; antigen mismatch; peak PRA; PRA at transplant (< 11, 11-50, > 50); diabetic status; pretransplant dialysis (vs. pre-emptive transplant); pretransplant cardiac, peripheral vascular, or respiratory disease; and delayed graft function (DGF) (dialysis in the first week vs. no dialysis). Risk factors were analyzed separately for living donor and cadaver donor recipients. For cadaver donor recipients, DGF was the major risk factor (p < 0.0001); others were age 55 yr (p = 0.03) and diabetes (p = 0.02). For living donor recipients, DGF was also a risk factor (p = 0.003); others were diabetes (p = 0.01), retransplant (p = 0.006), PRA at transplant > 50 (p < 0.0001), age > 55 yr (p = 0.02), pretransplant respiratory disease (p = 0.005), and pretransplant dialysis (p = 0.005). Because DGF was the major risk factor for a prolonged stay, we then studied risk factors for DGF using multivariate analysis. For cadaver donor recipients, risk factors were recipient weight > 90 kg (p = 0.004), preservation time 24 h (p = 0.03), PRA at transplant > 50 (p = 0.03), and donor age < 15 or > 50 yr (p = 0.002). For living donor recipients, risk factors were recipient age < 18 yr (p = 0.01), donor age > 50 yr (p = 0.03), female sex (p = 0.05), pretransplant respiratory disease (p = 0.1), pretransplant peripheral vascular disease (p = 0.05), and recipient weight > 90 kg (p = 0.1). From our data, a profile emerged of recipients likely to have a longer hospital stay. Important variables, either simultaneous with or related to DGF, include donor and recipient age, diabetes, pretransplant recipient weight, PRA at transplant, preservation time, and pretransplant respiratory or peripheral vascular disease.

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Year:  1997        PMID: 9267712

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  10 in total

1.  Targeted donor complement blockade after brain death prevents delayed graft function in a nonhuman primate model of kidney transplantation.

Authors:  Juan S Danobeitia; Tiffany J Zens; Peter J Chlebeck; Laura J Zitur; Jose A Reyes; Michael J Eerhart; Jennifer Coonen; Saverio Capuano; Anthony M D'Alessandro; Jose R Torrealba; Daniel Burguete; Kevin Brunner; Edwin Van Amersfoort; Yolanda Ponstein; Cees Van Kooten; Ewa Jankowska-Gan; William Burlingham; Jeremy Sullivan; Arjang Djamali; Myron Pozniak; Yucel Yankol; Luis A Fernandez
Journal:  Am J Transplant       Date:  2020-02-20       Impact factor: 8.086

2.  Shortened length of stay improves financial outcomes in living donor kidney transplantation.

Authors:  Manuel Villa; Eric Siskind; Emil Sameyah; Asha Alex; Mark Blum; Richard Tyrell; Melissa Fana; Marni Mishler; Andrew Godwin; Michael Kuncewitch; Mohini Alexander; Ezra Israel; Madhu Bhaskaran; Kellie Calderon; Kenar D Jhaveri; Mala Sachdeva; Alessandro Bellucci; Joseph Mattana; Steven Fishbane; Gene Coppa; Ernesto Molmenti
Journal:  Int J Angiol       Date:  2013-06

3.  "Nature versus nurture" study of deceased-donor pairs in kidney transplantation.

Authors:  Daniel W Louvar; Na Li; Jon Snyder; Yi Peng; Bertram L Kasiske; Ajay K Israni
Journal:  J Am Soc Nephrol       Date:  2009-04-23       Impact factor: 10.121

4.  Frailty, Length of Stay, and Mortality in Kidney Transplant Recipients: A National Registry and Prospective Cohort Study.

Authors:  Mara A McAdams-DeMarco; Elizabeth A King; Xun Luo; Christine Haugen; Sandra DiBrito; Ashton Shaffer; Lauren M Kucirka; Niraj M Desai; Nabil N Dagher; Bonnie E Lonze; Robert A Montgomery; Jeremy Walston; Dorry L Segev
Journal:  Ann Surg       Date:  2017-12       Impact factor: 12.969

Review 5.  Hyperglycemia and Diabetes Mellitus Following Organ Transplantation.

Authors:  Rodolfo J Galindo; Amisha Wallia
Journal:  Curr Diab Rep       Date:  2016-02       Impact factor: 4.810

6.  Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods.

Authors:  Alexander Decruyenaere; Philippe Decruyenaere; Patrick Peeters; Frank Vermassen; Tom Dhaene; Ivo Couckuyt
Journal:  BMC Med Inform Decis Mak       Date:  2015-10-14       Impact factor: 2.796

7.  Influence of Cold Ischemia Time in Kidney Transplants From Small Pediatric Donors.

Authors:  Liise K Kayler; Michelle Lubetzky; Xia Yu; Patricia Friedmann
Journal:  Transplant Direct       Date:  2017-06-27

8.  Surgical Factors Associated with Prolonged Hospitalization after Reconstruction for Oncological Spine Surgery.

Authors:  Hannah M Carl; Devin Coon; Nicholas A Calotta; Rachel Pedreira; Justin M Sacks
Journal:  Plast Reconstr Surg Glob Open       Date:  2017-04-07

9.  Association of Dialysis Duration With Outcomes After Kidney Transplantation in the Setting of Long Cold Ischemia Time.

Authors:  Keisha Bonner; Gaurang Joshi; Rachel Seibert; Liise K Kayler
Journal:  Transplant Direct       Date:  2018-12-17

10.  Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study.

Authors:  Sameera Senanayake; Adrian Barnett; Nicholas Graves; Helen Healy; Keshwar Baboolal; Sanjeewa Kularatna
Journal:  F1000Res       Date:  2019-10-29
  10 in total

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