ArticleBMC nephrology2022
Prediction model of renal function recovery for primary membranous nephropathy with acute kidney injury.
Article in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- A preliminary nomogram model for predicting relapse of patients with primary membranous nephropathy.Renal failure · 2023Trial
- Title-effectiveness and safety of Danshen injection for acute kidney injury in primary nephrotic syndrome.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2026Article
- A dynamic online nomogram for predicting renal outcomes of idiopathic membranous nephropathy.BMC medical informatics and decision making · 2024Article
- Expression of SIRT6 and VNN1 in children with primary nephrotic syndrome and their correlation with acute kidney injury.American journal of translational research · 2024Article
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Authors and funding
5 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesThe clinical and pathological impact factors for renal function recovery in acute kidney injury (AKI) on the progression of renal function in primary membranous nephropathy (PMN) with AKI patients have not yet been reported, we sought to investigate the factors that may influence renal function recovery and develop a nomogram model for predicting renal function recovery in PMN with AKI patients.
methodsTwo PMN with AKI cohorts from the Nephrology Department, the First Affiliated Hospital of Wenzhou Medical University during 2012-2018 and 2019-2020 were included, i.e., a derivation cohort during 2012-2018 and a validation cohort during 2019-2020. Clinical characteristics and renal pathological features were obtained. The outcome measurement was the recovery of renal function within 12 months. Lasso regression was used for clinical and pathological features selection. Prediction model was built and nomogram was plotted. Model evaluations including calibration curves were performed.
resultRenal function recovery was found in 72 of 124 (58.1%) patients and 41 of 72 (56.9%) patients in the derivation and validation cohorts, respectively. The prognostic nomogram model included determinants of sex, age, the comorbidity of hypertensive nephropathy, the stage of glomerular basement membrane and diuretic treatment with a reasonable concordance index of 0.773 (95%CI,0.716-0.830) in the derivation cohort and 0.773 (95%CI, 0.693-0.853) in the validation cohort. Diuretic use was a significant impact factor with decrease of renal function recovery in PMN with AKI patients.
conclusionThe predictive nomogram model provides useful prognostic tool for renal function recovery in PMN patients with AKI.
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