Trajectories of glomerular filtration rate and progression to end stage kidney disease after kidney transplantation

被引:37
|
作者
Raynaud, Marc [1 ]
Aubert, Olivier [1 ,2 ]
Reese, Peter P. [1 ,3 ]
Bouatou, Yassine [1 ]
Naesens, Maarten [4 ]
Kamar, Nassim [5 ]
Bailly, Elodie [6 ]
Giral, Magali [7 ]
Ladriere, Marc [8 ]
Le Quintrec, Moglie [9 ]
Delahousse, Michel [10 ]
Juric, Ivana [11 ]
Basic-Jukic, Nikolina [11 ]
Gupta, Gaurav [12 ]
Akalin, Enver [13 ]
Yoo, Daniel [1 ]
Chin, Chen-Shan [14 ]
Proust-Lima, Cecile [15 ]
Bohmig, Georg [16 ]
Oberbauer, Rainer [17 ]
Stegall, Mark D. [18 ]
Bentall, Andrew J. [18 ]
Jordan, Stanley C. [19 ]
Huang, Edmund [19 ]
Glotz, Denis [1 ,20 ]
Legendre, Christophe [1 ,2 ]
Montgomery, Robert A. [21 ]
Segev, Dorry L. [22 ]
Empana, Jean-Philippe [1 ]
Grams, Morgan E. [23 ]
Coresh, Josef [23 ]
Jouven, Xavier [1 ]
Lefaucheur, Carmen [1 ,20 ]
Loupy, Alexandre [1 ,2 ]
机构
[1] Univ Paris, Paris Translat Res Ctr Organ Transplantat, INSERM, PARCC, Paris, France
[2] Hop Necker Enfants Malad, AP HP, Kidney Transplant Dept, Paris, France
[3] Univ Penn, Sch Med, Renal Electrolyte & Hypertens Div, Philadelphia, PA 19104 USA
[4] Katholieke Univ Leuven, Dept Microbiol Immunol & Transplantat, Leuven, Belgium
[5] Univ Paul Sabatier, INSERM, Dept Nephrol & Organ Transplantat, CHU Rangueil & Purpan, Toulouse, France
[6] Bretonneau Hosp, Nephrol & Immunol Dept, Tours, France
[7] Ctr Hosp Univ Nantes, Dept Nephrol, Nantes, France
[8] Univ Lorraine, Nephrol Dialysis Transplantat Dept, Ctr Hosp Univ, Nancy, France
[9] Ctr Hosp Univ, Dept Nephrol, Montpellier, France
[10] Foch Hosp, Dept Transplantat Nephrol & Clin Immunol, Suresnes, France
[11] Univ Zagreb, Univ Hosp Ctr Zagreb, Sch Med, Dept Nephrol Arterial Hypertens Dialysis & Transp, Zagreb, Croatia
[12] Virginia Commonwealth Univ, Sch Med, Dept Internal Med, Div Nephrol, Richmond, VA USA
[13] Albert Einstein Coll Med, Renal Div Montefiore Med Ctr, Kidney Transplantat Program, Bronx, NY 10467 USA
[14] DNAnexus, Deep Learning Med & Genom, San Francisco, CA USA
[15] INSERM, U1219, Populat Hlth Res Ctr, Bordeaux, France
[16] Gen Hosp Vienna, Dept Med 3, Div Nephrol & Dialysis, Vienna, Austria
[17] Med Univ Vienna, Nephrol, Vienna, Austria
[18] Mayo Clin, William J von Liebig Ctr Transplantat & Clin Rege, Rochester, MN USA
[19] Cedars Sinai Med Ctr, Comprehens Transplant Ctr, Div Nephrol, Dept Med, Los Angeles, CA 90048 USA
[20] St Louis Hosp, AP HP, Kidney Transplant Dept, Paris, France
[21] NYU, Langone Transplant Inst, New York, NY USA
[22] Johns Hopkins Univ, Sch Med, Dept Surg, Baltimore, MD 21205 USA
[23] Johns Hopkins Med Inst, George W Comstock Ctr Publ Hlth Res & Prevent, Baltimore, MD 21205 USA
关键词
end-stage renal disease; glomerular filtration rate; kidney function; kidney transplantation; mortality; trajectories; ANTIBODY-MEDIATED REJECTION; RANDOMIZED-TRIAL; CYCLOSPORINE; DISABILITY; SIROLIMUS; OUTCOMES; FAILURE; DECLINE; RISK; TIME;
D O I
10.1016/j.kint.2020.07.025
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Although the gold standard of monitoring kidney transplant function relies on glomerular filtration rate (GFR), little is known about GFR trajectories after transplantation, their determinants, and their association with outcomes. To evaluate these parameters we examined kidney transplant recipients receiving care at 15 academic centers. Patients underwent prospective monitoring of estimated GFR (eGFR) measurements, with assessment of clinical, functional, histological and immunological parameters. Additional validation took place in seven randomized controlled trials that included a total of 14,132 patients with 403,497 eGFR measurements. After a median follow-up of 6.5 years, 1,688 patients developed end-stage kidney disease. Using unsupervised latent class mixed models, we identified eight distinct eGFR trajectories. Multinomial regression models identified seven significant determinants of eGFR trajectories including donor age, eGFR, proteinuria, and several significant histological features: graft scarring, graft interstitial inflammation and tubulitis, microcirculation inflammation, and circulating anti-HLA donor specific antibodies. The eGFR trajectories were associated with progression to end stage kidney disease. These trajectories, their determinants and respective associations with end stage kidney disease were similar across cohorts, as well as in diverse clinical scenarios, therapeutic eras and in the seven randomized control trials. Thus, our results provide the basis for a trajectory-based assessment of kidney transplant patients for risk stratification and monitoring.
引用
收藏
页码:186 / 197
页数:12
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