Publications by authors named "Njal Gjaerde Lura"
Background: The establishment of the Oxford classification and newly developed prediction models have improved the prognostic information for immunoglobulin A nephropathy (IgAN). Considering new treatment options, optimizing prognostic information and improving existing prediction models are favorable.
Methods: We used random forest survival analysis to select possible predictors of end-stage kidney disease among 37 candidate variables in a cohort of 232 patients with biopsy-proven IgAN retrieved from the Norwegian Kidney Biopsy Registry.
Background: Recently, two immunoglobulin A (IgA) nephropathy-prediction tools were developed that combine clinical and histopathologic parameters. The International IgAN Prediction Tool predicts the risk for 50% declines in the estimated glomerular filtration rate or end-stage kidney disease up to 80 months after diagnosis. The IgA Nephropathy Clinical Decision Support System uses artificial neural networks to estimate the risk for end-stage kidney disease.
View Article and Find Full Text PDFBackground: The Oxford classification/MEST score is an established histopathologic scoring system for patients with IgA nephropathy (IgAN). The objective of this study was to derive a prognostic model for IgAN based on the MEST score and histopathologic features.
Methods: A total of 306 patients with biopsy-proven primary IgAN were included.
Background: Arachnoid cysts yield cognitive deficits that are normalized after surgical cyst decompression.
Objective: The present study aimed to investigate whether arachnoid cysts also affect symptoms of anxiety and depression, and if surgical cyst decompression leads to reduction of these symptoms.
Methods: Twenty-two adult patients (13 men and 9 women) with symptomatic temporal or frontal cysts were included in this questionnaire (Hospital Anxiety and Depression Scale [HADS])-based prospective study.