Development and validation of a prediction score system in lupus nephritis

Area of Science:

• Nephrology
• Rheumatology
• Internal Medicine

Background:

• End-stage renal disease (ESRD) risk in lupus nephritis (LN) is not well-defined.
• Accurate risk assessment is crucial for managing LN patients and preventing kidney failure.

Purpose of the Study:

• To develop and validate a prediction rule for estimating individual ESRD risk in LN patients.
• To utilize clinical and pathological data for improved risk stratification.

Main Methods:

• Retrospective analysis of 599 LN patients diagnosed by renal biopsy.
• Random division into derivation (n=379) and validation (n=220) cohorts.
• Cox proportional hazard model used to identify independent risk factors for ESRD.

Main Results:

• The prediction model identified cellular crescents, active index >20, glomerular sclerosis, fibrous crescents, interstitial fibrosis, chronic index >5, nephrotic syndrome, and eGFR <45 mL/min as independent risk factors.
• The developed prediction rule was validated in the validation cohort, showing its utility in predicting ESRD progression.
• 26.5% of patients in the derivation cohort and 21.5% in the validation cohort progressed to ESRD.

Conclusions:

• A novel prediction rule integrating clinical and pathological factors for ESRD risk in LN patients has been developed and validated.
• This tool can aid clinicians in assessing individual patient risk and guiding treatment strategies.
• Further research may refine this rule for broader clinical application in lupus nephritis management.