This prospective observational study aims to evaluate predictors of disease progression in patients with primary membranous nephropathy and to assess the performance of a prognostic nomogram in predicting renal outcomes in the Egyptian population.
Primary membranous nephropathy (pMN) is a leading cause of nephrotic syndrome in adults. Its clinical course is highly variable, ranging from spontaneous remission to progressive kidney function decline and end-stage kidney disease. Current prognostic assessment relies mainly on conventional clinical and laboratory parameters such as proteinuria, serum creatinine, estimated glomerular filtration rate (eGFR), and serum albumin. These markers have limited accuracy in predicting individual patient outcomes. Several prognostic nomograms have been developed by combining clinical, laboratory, and immunological variables. However, most of these models were derived from single-center cohorts and require external validation in different populations. This prospective observational study will evaluate clinical and laboratory predictors of disease progression in patients with biopsy-proven primary membranous nephropathy and assess the performance of a prognostic nomogram for predicting renal outcomes in patients attending Assiut University Hospitals.
Study Type
OBSERVATIONAL
Enrollment
128
Performance of the prognostic nomogram in predicting disease progression
Ability of the prognostic nomogram to predict disease progression in patients with primary membranous nephropathy, assessed by the area under the receiver operating characteristic curve (AUC).
Time frame: 6 months
Independent clinical and laboratory predictors of disease progression
Identification of independent clinical and laboratory predictors of disease progression in primary membranous nephropathy using multivariable analysis
Time frame: 6 months
Decline in estimated glomerular filtration rate (eGFR)
Change in estimated glomerular filtration rate (eGFR) from baseline, measured in mL/min/1.73 m².
Time frame: 6 months
Remission status
Proportion of patients achieving complete or partial remission according to KDIGO criteria
Time frame: 6 month
Validation of the prognostic nomogram
Validation of the predictive performance of the prognostic nomogram in the local patient population using discrimination and calibration metrics
Time frame: 6 months
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