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December 8, 2025BloodOpen Access

Assessing replicability in chronic kidney disease severity scoring classifications using the sickle cell outcome grading system

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Authors

SLSophie Lanzkron

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Overview

This analysis demonstrates the feasibility of SCOGS for chronic kidney disease in sickle cell anemia, suggesting improvements in data scoring could enhance assessments.

Key Points

  • To assess the feasibility of the Sickle Cell Outcomes Grading System (SCOGS) for classifying chronic kidney disease (CKD) in sickle cell patients.
  • Applied SCOGS classification to CKD across two large registries: GRNDaD and SCCRIP.
  • Evaluated scoring feasibility based on availability of eGFR and microalbumin measurements.
  • Analyzed both cohorts for CKD grade distributions.
  • In SCCRIP, 61.7% of patients met inclusion criteria; only 21.3% were scorable.
  • In GRNDaD, 46.6% met criteria; 16% were scored, indicating difficulties in scoring due to missing data.
  • Both cohorts showed similar CKD grade distributions, with barriers primarily related to unavailable microalbumin data.

Cite This Study

Sophie Lanzkron (2025) studied this question.

synapsesocial.com/papers/69362f6e4fa91c937236e13chttps://doi.org/10.1182/blood-2025-4749
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Machine learning replicates and extends clinician-informed disease severity grading classification for acute pain and CKD in sickle cell disease2025
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  3. 3KDIGO-Defined Kidney Dysfunction Predicts Long-Term Outcomes in a Multi-Center Cohort of Adults with Sickle Cell Disease2025 · 5 citations
  4. 4Kidney failure risk equation and early renal risk in adults with sickle cell disease: comparison with KDIGO classification using measured GFR2026
  5. 5Explainable AI-based prediction of chronic kidney disease as a long-term outcome of sickle cell disease in a large, multi-site observational data cohort2025