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2017 ; 18
(1
): 201
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gab.com Text
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English Wikipedia
Membranous nephropathy: a retrospective observational study of membranous
nephropathy in north east and central London
#MMPMID28637442
Gupta S
; Connolly J
; Pepper RJ
; Walsh SB
; Yaqoob MM
; Kleta R
; Ashman N
BMC Nephrol
2017[Jun]; 18
(1
): 201
PMID28637442
show ga
BACKGROUND: Membranous nephropathy (MN) is the leading cause of nephrotic
syndrome in adults. MN is a clinically heterogeneous disease and it is difficult
to accurately predict outcomes (including end stage renal failure) at
presentation and whom to treat with potentially toxic therapies. We aimed to
identify factors predicting outcome in MN in our cohort from two large tertiary
London units by undertaking a retrospective data analysis of 148 biopsy-proven MN
patients from North East and Central London between 1995 and 2015. METHODS:
Review of clinical and biochemistry databases. RESULTS: Surprisingly, patients
that reached end stage renal failure (ESRF) had a less severe nephrosis compared
to those that did not develop ESRF; serum albumin 33 g/L (3.3 g/dL) versus 24 g/L
(2.4 g/dL), p = 0.002 and urinary protein creatinine ratio (uPCR) 550 mg/mmol
(5500 mg/g) versus 902 mg/mmol (9020 mg/g), p = 0.0124. The correlation with ESRF
was strongest with the presenting creatinine; 215 ?mol/L (2.43 mg/dL) compared to
81 ?mol/L (0.92 mg/dL), p < 0.0001. Patients presenting with creatinine of
>120 ?mol/L (1.36 mg/dL; corresponding to an eGFR of ?60 ml/min in non-Black
males) had an increased rate of ESRF and a faster decline. Other traditional risk
factors for progression were not significantly associated with ESRF. Black
patients presented with higher serum creatinine but no statistically significant
difference in the estimated glomerular filtration rate, a higher rate of
progression to ESRF and had a poorer response to treatment. CONCLUSIONS: This
ethnically diverse cohort does not demonstrate the traditional risk profile
associated with development of ESRF. Thus, careful consideration of therapeutic
options is crucial, as current risk modelling cannot accurately predict the risk
of ESRF. Further studies are required to elucidate the role of antibodies and
risk genes.