BACKGROUND AND AIMS The aim of this study was to assess predictors of renal involvement and other factors secondary to FMF in renal and overall survival. METHOD We prospectively studied 57 Algerian patients admitted to our nephrology department from January 2012 to January 2021. The diagnosis of nephropathy was suspected clinically and biologically and confirmed histologically. The search for mutations in the MEFV gene was carried out in all our patients. The patients were divided into two

more »

... s according to their evolution: G1 (patients on dialysis) and G2 (patients not on dialysis). RESULTS G1 presents compared to G2 a presence of patients with more men with (P = 1015 × 10−2) but the difference is not significant, consanguinity (P < 4998 × 10−3), later age of onset of FMF (P < 1116 × 10−4), triggers for renal damage (P < 3907 × 10−2), later age of onset of nephropathy (P < 4199 × 10−2), higher C-reactive protein (P < 2561 × 10−2), AA amyloidosis (P < 11.0 × 10−7), higher percentage of sclerosis glomeruli >50% (P < 2052 × 10−4), rapidly progressive glomerulonephritis (P < 1.0 × 10−7), higher proteinuria (P < 1.0 × 10−7), higher serum creatinine (P < 01.15 × 10−5), higher homozygous and/or compound heterozygous at the different gene mutations (P < 3.815 × 10−6) and a higher number of deaths (P < 3.394 × 10−5). The renal and overall survival analysis of the Kaplan–Meier survival analysis curve was significantly different in multivariate analysis (log rank, P < .0001). CONCLUSION There are predictive factors specific to renal injury and FMF that predict renal and overall survival in these patients.