The Improved Kidney Risk Score in ANCA-Associated Vasculitis for Clinical Practice and Trials

Author:

Bate Sebastian12ORCID,McGovern Dominic3456ORCID,Costigliolo Francesca78,Tan Pek Ghe910,Kratky Vojtech1112ORCID,Scott Jennifer13ORCID,Chapman Gavin B.14ORCID,Brown Nina1516,Floyd Lauren1517ORCID,Brilland Benoit18ORCID,Martín-Nares Eduardo19ORCID,Aydın Mehmet Fethullah20ORCID,Ilyas Duha1521ORCID,Butt Arslan16ORCID,Nic an Riogh Eithne13ORCID,Kollar Marek22,Lees Jennifer S.34ORCID,Yildiz Abdülmecit20,Hinojosa-Azaola Andrea19,Dhaygude Ajay17,Roberts Stephen A.12ORCID,Rosenberg Avi23ORCID,Wiech Thorsten24ORCID,Pusey Charles D.925,Jones Rachel B.56ORCID,Jayne David R.W.56ORCID,Bajema Ingeborg26,Jennette J. Charles27ORCID,Stevens Kate I.34ORCID,Augusto Jean Francois18ORCID,Mejía-Vilet Juan Manuel19ORCID,Dhaun Neeraj14ORCID,McAdoo Stephen P.925,Tesar Vladimir1112ORCID,Little Mark A.13ORCID,Geetha Duruvu28ORCID,Brix Silke R.12129ORCID

Affiliation:

1. Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, United Kingdom

2. Division of Population Health, Health Services Research, and Primary Care, Centre for Biostatistics, University of Manchester, Manchester, United Kingdom

3. Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, United Kingdom

4. School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom

5. Department of Medicine, University of Cambridge, Cambridge, United Kingdom

6. Department of Renal Medicine, Vasculitis Clinic, Addenbrooke's Hospital, Cambridge, United Kingdom

7. Division of Nephrology, Dialysis and Transplantation, University of Genova, Genova, Italy

8. Department of Internal Medicine and IRCCS Ospedale Policlinico San Martino, Genova, Italy

9. Imperial College Renal and Transplant Centre, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, United Kingdom

10. Renal Unit, Northern Health, Victoria, Australia

11. 1st Faculty of Medicine, Charles University, Prague, Czechia

12. Department of Nephrology, General University Hospital, Prague, Czechia

13. Trinity Kidney Centre, Trinity College Dublin, Dublin, Ireland

14. University/BHF Centre for Cardiovascular Science, University of Edinburgh and Department of Renal Medicine, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom

15. Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom

16. Renal Department, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, United Kingdom

17. Renal Department, Royal Preston Hospital, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, United Kingdom

18. Service de Néphrologie-Dialyse-Transplantation, CHU d’Angers, Angers, France

19. Departments of Immunology and Rheumatology, Nephrology and Mineral Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico

20. Division of Nephrology, Bursa Uludağ University School of Medicine, Bursa, Turkey

21. Renal, Transplantation and Urology Unit, Manchester University NHS Foundation Trust, Manchester, United Kingdom

22. Department of Pathology, Institute for Clinical and Experimental Medicine, Prague, Czechia

23. Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland

24. University Medical Center Hamburg-Eppendorf, Institute of Pathology, Hamburg, Germany

25. Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom

26. Department of Pathology, Groningen University Medical Center, Groningen, The Netherlands

27. Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

28. Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland

29. Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, United Kingdom

Abstract

Background Reliable prediction tools are needed to personalize treatment in ANCA-associated GN. A retrospective international longitudinal cohort was collated to revise the ANCA renal risk score. Methods The primary end point was ESKD with patients censored at last follow-up. Cox proportional hazards were used to reweight risk factors. Kaplan–Meier curves, Harrell's C statistic, receiver operating characteristics, and calibration plots were used to assess model performance. Results Of 1591 patients, 1439 were included in the final analyses, 2:1 randomly allocated per center to development and validation cohorts (52% male, median age 64 years). In the development cohort (n=959), the ANCA renal risk score was validated and calibrated, and parameters were reinvestigated modifying interstitial fibrosis and tubular atrophy allowing semiquantitative reporting. An additional cutoff for kidney function (K) was identified, and serum creatinine replaced GFR (K0: <250 µmol/L=0, K1: 250–450 µmol/L=4, K2: >450 µmol/L=11 points). The risk points for the percentage of normal glomeruli (N) and interstitial fibrosis and tubular atrophy (T) were reweighted (N0: >25%=0, N1: 10%–25%=4, N2: <10%=7, T0: none/mild or <25%=0, T1: ≥ mild-moderate or ≥25%=3 points), and four risk groups created: low (0–4 points), moderate (5–11), high (12–18), and very high (21). Discrimination was C=0.831, and the 3-year kidney survival was 96%, 79%, 54%, and 19%, respectively. The revised score performed similarly well in the validation cohort with excellent calibration and discrimination (n=480, C=0.821). Conclusions The updated score optimizes clinicopathologic prognostication for clinical practice and trials.

Funder

Wellcome Trust

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Nephrology,General Medicine

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