## Abstract ## Objective To assess the degree to which physicians agree with each other and with ratings obtained with 3 existing responder indices, in rating the response to treatment of lupus nephritis. ## Methods Lupus nephritis patient medical records from 125 pairs of visits (6 months apart
Systemic lupus international collaborating clinics renal activity/response exercise: Development of a renal activity score and renal response index
✍ Scribed by Michelle Petri; Nuntana Kasitanon; Shin-Seok Lee; Kimberly Link; Laurence Magder; Sang-Cheol Bae; John G. Hanly; David A. Isenberg; Ola Nived; Gunnar Sturfelt; Ronald van Vollenhoven; Daniel J. Wallace; Graciela S. Alarcón; Dwomoa Adu; Carmen Avila-Casado; Sasha R. Bernatsky; Ian N. Bruce; Ann E. Clarke; Gabriel Contreras; Derek M. Fine; Dafna D. Gladman; Caroline Gordon; Kenneth C. Kalunian; Michael P. Madaio; Brad H. Rovin; Jorge Sanchez-Guerrero; Kristjan Steinsson; Cynthia Aranow; James E. Balow; Jill P. Buyon; Ellen M. Ginzler; Munther A. Khamashta; Murray B. Urowitz; Mary Anne Dooley; Joan T. Merrill; Rosalind Ramsey-Goldman; Josef Font; James Tumlin; Thomas Stoll; Asad Zoma
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 58 KB
- Volume
- 58
- Category
- Article
- ISSN
- 0004-3591
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✦ Synopsis
Abstract
Objective
To develop a measure of renal activity in systemic lupus erythematosus and use it to develop a renal response index.
Methods
Abstracted data from the medical records of 215 patients with lupus nephritis were sent to 8 nephrologists and 29 rheumatologists for rating. Seven nephrologists and 22 rheumatologists completed the ratings. Each physician rated each patient visit with respect to renal disease activity (none, mild, moderate, or severe). Using the most commonly selected rating for each patient as the gold standard, stepwise regression modeling was performed to identify the variables most related to renal disease activity, and these variables were then used to create an activity score. This activity score could then be applied to 2 consecutive visits to define a renal response index.
Results
The renal activity score was computed as follows: proteinuria 0.5–1 gm/day (3 points), proteinuria >1–3 gm/day (5 points), proteinuria >3 gm/day (11 points), urine red blood cell count >10/high‐power field (3 points), and urine white blood cell count >10/high‐power field (1 point). The chance‐adjusted agreement between the renal response index derived from the activity score applied to the paired visits and the plurality physician response rating was 0.69 (95% confidence interval 0.59–0.79).
Conclusion
Ratings derived from this index for rating of renal response showed reasonable agreement with physician ratings in a pilot study. The index will require further refinement, testing, and validation. A data‐driven approach to create renal activity and renal response indices will be useful in both clinical care and research settings.
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