Systematic review of the application of the Kidney Failure Risk Equation and Oxford classification in estimating prognosis in IgA Nephropathy.

Background: IgA nephropathy (IgAN) is the most common primary glomerulonephritis in the world and is an important cause of chronic kidney disease (CKD) and kidney failure. Outcomes are heterogeneous, and accurate risk stratification is important to identify the highest risk individuals for treatment and to help prevent disease progression. The Oxford classification (OC) is an internationally adopted standard for renal biopsy reporting in IgAN, which measures the degree of histological abnormalities and predicts prognosis.

'Was my kidney biopsy worth it?'-A qualitative phenomenological study of patient experiences and perceived barriers to kidney biopsy.

Background: Kidney biopsy is an important investigation in nephrology and facilitates the diagnosis of many conditions. It is an invasive procedure with the risk of significant complications, which limits its usage. There is minimal literature on how patients experience a kidney biopsy.

A formula-fed infant with profound dehydration, cerebral venous sinus thrombosis, and intracranial hemorrhage.

Background: Chronic food protein-induced enterocolitis syndrome (FPIES) is a cell-mediated gastrointestinal food hypersensitivity described almost exclusively in infants fed cow's milk or soy formula. A timely diagnosis is challenging due to a number of factors, including broad differential diagnoses, absence of specific biomarkers, and delayed symptom onset.

Objective: This report aimed to highlight how the severity of presentation can further impede a timely diagnosis in chronic FPIES.

Protocol for a systematic review of the application of the kidney failure risk equation and Oxford classification in estimating prognosis in IgA nephropathy.

Background: IgA nephropathy (IgAN) is a common cause of chronic kidney disease (CKD) and end-stage renal disease (ESRD). Outcomes are highly variable and predicting risk of disease progression at an individual level is challenging. Accurate risk stratification is important to identify individuals most likely to benefit from treatment.