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Published on: June 18, 2020
The ISKDC classification and a new semiquantitative classification for predicting outcomes of Henoch-Schönlein
Mikael Koskela1, Elisa Ylinen2, Elli-Maija Ukonmaanaho3
1Department of Pediatric Nephrology and Transplantation, Children's Hospital, Helsinki University Hospital and University of Helsinki, PO Box 281, 00029, Helsinki, Finland. mikael.koskela@helsinki.fi.
Background:
Histological findings from primary kidney biopsies were correlated with patient outcomes in a national cohort of paediatric Henoch-Schönlein nephritis (HSN) patients.
Methods:
Primary kidney biopsies from 53 HSN patients were re-evaluated using the ISKDC (International Study of Kidney Disease in Children) classification and a modified semiquantitative classification (SQC) that scores renal findings and also takes into account activity, chronicity and tubulointerstitial indices. The ISKDC and SQC classifications were evaluated comparatively in four outcome groups: no signs of renal disease (outcome A, n = 27), minor urinary abnormalities (outcome B, n = 18), active renal disease (outcome C, n = 3) and renal insufficiency, end-stage renal disease or succumbed due to HSN (outcome D, n = 5). For the receiver operating characteristic and logistic regression analyses, outcomes A and B were considered to be favourable and outcomes C and D to be unfavourable. The median follow-up time was 7.3 years.
Results:
The patients with an unfavourable outcome (C and D), considered together due to low patient numbers, had significantly higher total biopsy SQC scores and activity indices than those who had a favourable one (groups A and B). The chronicity and tubulointerstitial indices differed significantly only between group C + D and group A. The difference in areas under the curve between the total biopsy SQC scores and ISKDC findings was 0.15 [p = 0.04, normal-based 95% confidence interval (CI) 0.007-0.29, bias-controlled 95% CI -0.004 to 0.28].
Conclusions:
Our results suggest that the modified SQC is more sensitive than ISKDC classification for predicting the outcome in HSN cases.
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