Literature DB >> 7564086

Chronic renal allograft rejection can be predicted by area under the serum creatinine versus time curve (AUCCr).

S Yilmaz1, A Yilmaz, P Häyry.   

Abstract

Acute rejection is the most important single risk factor for chronic renal allograft rejection. Numerical quantitation of rejection episodes does not take into account the intensity and length of these episodes, both of which may contribute to the severity of chronic rejection. We propose a single numerical parameter for the frequency, intensity and length of acute rejections, the "Area Under the Serum Creatinine versus Time Curve" (AUCCr) using renal allografts between inbred rat strains. Twenty-seven renal transplantations were performed from the DA to WF rat strain. The rats were immunosuppressed with 5 mg/kg body weight of CyA injected s.c. for 1, 2, 3 and 12 weeks, resulting in differing numbers (0-4) of biopsy-confirmed acute rejections of varying intensity (s-cre: 100-448 mumol/L) and length (3-24 days), all of which were reversed with additional CyA treatment. The intensity of chronic changes in graft histology was quantitated using the "Chronic Allograft Damage Index" (CADI). End-point transplant function was quantitated as level of serum creatinine at sacrifice. The AUCCr from 0 to 3 weeks (AUCCr0-3), encompassing the recovery period after operation, free of rejections, did not correlate with the CADI (r = 0.230, P = 0.249). All AUCCr from 3 weeks onwards correlated with the CADI. The best correlation with the CADI was obtained with AUCCr from 3 to 12 weeks (AUCCr3-12) (r = 0.922, P = 0.0001). This interval coincides with the timing of all acute rejection episodes. AUCCr3-12 correlated equally well to end-point transplant function (r = 0.890, P = 0.0001).(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 7564086     DOI: 10.1038/ki.1995.291

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  5 in total

1.  Chronic allograft failure in human renal transplantation: a multivariate risk factor analysis.

Authors:  A J McLaren; S V Fuggle; K I Welsh; D W Gray; P J Morris
Journal:  Ann Surg       Date:  2000-07       Impact factor: 12.969

2.  Perioperative risk factors of progressive chronic kidney disease following liver transplantation: analyses of a 10-year follow-up single-center cohort.

Authors:  Kyungho Lee; Junseok Jeon; Jong Man Kim; Gaabsoo Kim; Kyunga Kim; Hye Ryoun Jang; Jung Eun Lee; Jae-Won Joh; Suk-Koo Lee; Wooseong Huh
Journal:  Ann Surg Treat Res       Date:  2020-06-29       Impact factor: 1.859

Review 3.  Pathogenesis and management of chronic allograft nephropathy.

Authors:  Serdar Yilmaz; Aylin Sar
Journal:  Drugs       Date:  2008       Impact factor: 9.546

4.  The impact of slow graft function on graft outcome is comparable to delayed graft function in deceased donor kidney transplantation.

Authors:  Jung-Ho Shin; Eun Hee Koo; Sung Hae Ha; Ji Hyeon Park; Hye Ryoun Jang; Jung Eun Lee; Jae-Berm Park; Sung Joo Kim; Sin-Ho Jung; Yoon-Goo Kim; Dae Joong Kim; Ha Young Oh; Wooseong Huh
Journal:  Int Urol Nephrol       Date:  2015-11-18       Impact factor: 2.370

Review 5.  Experimental rat models of chronic allograft nephropathy: a review.

Authors:  Badri Shrestha; John Haylor
Journal:  Int J Nephrol Renovasc Dis       Date:  2014-07-23
  5 in total

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