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Abstract Number: 1826

A Renal Activity Index May Predict Histological Activity in Lupus Nephritis in Children

Khalid Abulaban1, Michael Bennett2, Marisa Klein-Gitelman3, Stacy P. Ardoin4, Kelly A. Rouster-Stevens5, Lori B. Tucker6, Kasha Wiley7, Shannen Nelson8, Karen Onel9, Nora G. Singer10, Kathleen M. O'Neil11, Elizabeth Brooks12, B Anne Eberhard13, Lawrence K. Jung14, Lisa F. Imundo15, Tracey Wright16, David Witte17, Jun Ying18, Prasad Devarajan2 and Hermine I. Brunner19, 1Pediatric Rheumatology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 2Nephrology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 3Anne & Robert H Lurie Childrens Hospital of Chicago, Chicago, IL, 4Pediatric & Adult Rheumatology, Ohio State University College of Medicine, Columbus, OH, 5Pediatrics, Emory University School of Medicine, Atlanta, GA, 6Rheumatology, BC Children's Hospital and University of British Columbia, Vancouver, BC, Canada, 7Rheumatology, Cincinnati Children's Hospital Medical Center, c, OH, 8Rheumatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 9Pediatric Rheumatology, University of Chicago Hospitals, Chicago, IL, 10Medicine, Division of Rhuematology, Division of Rheumatology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, OH, 11Division of Pediatric Rheumatology, Riley Hospital for Children, Indianapolis, IN, 12Rheumatology, Univ Hospitals of Cleveland, Cleveland, OH, 13Pediatrics/Rheumatology, Cohen Children's Medical Center, Lake Success, NY, 14Pediatric Rheumatology, Children's National Medical Center, Washington, DC, 15Assoociate Professor of Pediatrics in Medicine - Rheumatoology, Columbia University Medical Center, New York, NY, 16Pediatrics/Rheumatology, UT Southwestern Medical Center, Dallas, TX, 17Rheumatology, Cincinnati Children's Hospital, Cincinnati, OH, 18University of Cincinnati, Cincinnati, OH, 19Cincinnati Children's Hospital Medical Center, Cincinnati, OH

Meeting: 2014 ACR/ARHP Annual Meeting

Keywords: Lupus nephritis

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Session Information

Title: Pediatric Rheumatology - Clinical and Therapeutic Aspects: Pediatric Systemic Lupus Erythematosus

Session Type: Abstract Submissions (ACR)

Background/Purpose Lupus Nephritis (LN) occurs in up to 80% of childhood-onset Systemic Lupus Erythematosus (cSLE) and it has a worse prognosis than adults. The current gold standard for diagnosing LN and assessing its activity is a kidney biopsy interpreted using the International Societies for Nephrology & Renal Pathology (ISN/RPS) classification. Kidney biopsies are invasive and too costly to assess the course of LN. The objective of this study is to develop and initially validate for Children a Renal Activity Index (C-RAI) to non-invasively monitor LN activity, considering both traditional measures of LN (LN-TM) and recently discovered renal biomarkers (RBM).

Methods In this ongoing prospective study, 83 children with LN were studied at the time of the kidney biopsy; LN-TM [GFR, complements, anti-dsDNA antibodies, urinary protein/creatinine ratio], clinical indices [Systemic Lupus International Collaborating Clinics Renal Activity Score (SLICC-RAS), renal domain score of BILAG (BILAG-R) and SLEDAI (SLEDAI-R)] were all obtained, and the RBM (Table 1) were measured. Histological findings were rated by a single nephropathologist who provided ISN/RPS class, NIH Glomerular Activity Index (GLAI; range 0-24) and Tubulointerstitial Activity Index (TIAI; range = 0-21) scores (Criterion Standards). Prior to statistical analysis, RBM levels were normalized by urine creatinine and logarithmically transformed. LN-TM, RBM and clinical indices that showed significance in univariate analysis at a p-value<0.10 were considered in stepwise multivariate logistical regression models as C-RAI candidate predictors, using the GLAI and TIAI as dependent variable (outcome). The accuracy of the C-RAI of predicting and discriminating LN activity was assessed by receiver-operating characteristic curve (ROC) analysis.

Results Means and percentages of the values of LN-TM, clinical indices and RBM levels are summarized inTable1. Based on multivariate logistical regression modeling, histological activity measurement does not necessitate consideration of clinical indices but rather select LN-TM and RBM. Levels of C3, NGAL, CP, MCP1 and TF were found to be  candidate C-RAI’s for predicting high LN activity (GLAI>10) with outstanding  accuracy [area under the ROC curve (AUC) = 0.9]. NGAL and HPX were excellent predictors of high interstitial inflammation with active LN (TIAI > 5; AUC = 0.88) (Figure1).

Conclusion C3 level, NGAL, CP, MCP1, TF, and HPX are good potential components for C-RAI to measure histological LN activity in the glomeruli and interstitium. Confirmation in a larger data set is required.

  

 

Table1 Comparisons of LN biomarkers between NIH GLAI and  TIAI  classes

LN biomarkers

GLAI Score

TIAI Score

≤ 10

> 10

p

≤ 5

> 5

p

SLEDAI-R*

7.45 (6.06, 8.84)

11.93 (10.15, 13.70)

0.000

8.20 (6.75, 9.64)

11.43 (8.96, 13.90)

0.031

BILAG-R*

10.37 (9.52, 11.23)

11.56 (10.48, 12.63)

0.096

10.93 (10.02, 11.83)

10.86 (9.33, 12.38)

0.940

SLICC-RAS*

4.38 (2.75, 6.02)

7.58 (5.57, 9.58)

0.019

5.20 (3.47, 6.92)

5.92 (2.86, 8.98)

0.686

Protein/ Cr ratio*

1.79 (1.20, 2.67)

2.85 (1.74, 4.67)

0.156

1.98 (1.31, 2.97)

2.67 (1.31, 5.42)

0.474

Urine Protein*

185.74 (101.62, 339.49)

423.73 (206.08, 871.27)

0.106

185.43 (107.15, 320.90)

541.85 (221.27, 1,326.88)

0.076

GFR*

115.07 (97.38, 135.97)

75.53 (61.04, 93.47)

0.003

108.48 (94.32, 124.78)

69.64 (54.81, 88.48)

0.003

Serum Cr*

0.63 (0.55, 0.74)

0.99 (0.82, 1.20)

0.001

0.66 (0.58, 0.76)

1.06 (0.85, 1.33)

0.001

C3 level*

64.28 (53.79, 76.82)

41.94 (33.44, 52.60)

0.005

53.31 (43.72, 65.01)

52.35 (37.43, 73.22)

0.928

C3 (Low)**

47.62%

15.38%

0.010

30.00%

28.57%

0.920

C4 level*

9.95 (7.92, 12.50)

6.35 (4.80, 8.41)

0.018

7.63 (6.04, 9.64)

7.67 (5.17, 11.39)

0.982

C4 (Low)**

30.95%

14.81%

0.137

25.00%

21.43%

0.788

DSDNA (Positive)**

16.67%

8.00%

0.334

11.43%

9.09%

0.828

NGAL

0.25 (0.15, 0.43)

0.65 (0.36, 1.17)

0.027

0.30 (0.17, 0.50)

0.93 (0.35, 2.42)

0.052

CP

118 (64, 215)

334 (173, 645)

0.028

199 (108, 367)

266 (87, 813)

0.661

MCP1

5.88 (3.85, 8.97)

24.04 (15.16, 38.10)

0.000

8.99 (5.42, 14.91)

30.25 (12.01, 76.23)

0.033

AGP

561 (232, 1,359)

1,101 (397, 3,057)

0.337

593 (232, 1,516)

3,752 (402, 35,064)

0.153

TGFB*

0.42 (0.26, 0.69)

1.27 (0.86, 1.86)

0.004

0.73 (0.46, 1.17)

1.56 (0.83, 2.91)

0.083

ADI

0.09 (0.03, 0.23)

0.51 (0.17, 1.49)

0.023

0.11 (0.04, 0.28)

1.35 (0.22, 8.33)

0.024

HEPCIDIN

0.55 (0.26, 1.15)

0.66 (0.29, 1.47)

0.753

0.56 (0.26, 1.21)

0.70 (0.15, 3.28)

0.802

LPGDS

2.71 (1.56, 4.70)

5.74 (3.15, 10.48)

0.080

3.24 (1.84, 5.69)

8.04 (2.87, 22.51)

0.141

TF

0.09 (0.05, 0.15)

0.17 (0.10, 0.31)

0.083

0.11 (0.07, 0.19)

0.18 (0.07, 0.45)

0.395

VDBP

5.43 (2.26, 13.07)

6.19 (2.38, 16.14)

0.844

3.95 (1.72, 9.08)

30.18 (6.62, 137.64)

0.030

HPX

17.15 (9.01, 32.65)

35.64 (17.97, 70.70)

0.138

17.52 (9.76, 31.45)

109.68 (35.05, 343.16)

0.010

*: Values in the cells are mean (95% CI);
**: Values in the cells are %.

NGAL: neutrophil gelatinase associated lipocalin, MCP1: monocyte chemoattractant protein-1, CP: ceruloplasmin, AGP: alpha1-acid glycoprotein, TF: transferrin, LPDGS: lipocalin-like prostaglandin-D Synthase, ADI: adiponectin, HPX: hemopexin, TGFB: TGF-beta,  , VDBP: vitamin D binding protein.

 

 


Disclosure:

K. Abulaban,
None;

M. Bennett,
None;

M. Klein-Gitelman,
None;

S. P. Ardoin,
None;

K. A. Rouster-Stevens,
None;

L. B. Tucker,
None;

K. Wiley,
None;

S. Nelson,
None;

K. Onel,
None;

N. G. Singer,
None;

K. M. O’Neil,
None;

E. Brooks,
None;

B. A. Eberhard,
None;

L. K. Jung,
None;

L. F. Imundo,
None;

T. Wright,
None;

D. Witte,
None;

J. Ying,
None;

P. Devarajan,
None;

H. I. Brunner,

TMA and NIEHS,

9.

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