Erschienen in:
14.02.2017 | Original Article
The ISKDC classification and a new semiquantitative classification for predicting outcomes of Henoch–Schönlein purpura nephritis
verfasst von:
Mikael Koskela, Elisa Ylinen, Elli-Maija Ukonmaanaho, Helena Autio-Harmainen, Päivi Heikkilä, Jouko Lohi, Outi Jauhola, Jaana Ronkainen, Timo Jahnukainen, Matti Nuutinen
Erschienen in:
Pediatric Nephrology
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Ausgabe 7/2017
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Abstract
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.