Evidence map›Paper›PMID 40524307›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2025

A prognostic model of immunoglobulin A nephropathy using artificial neural network: a retrospective study based on integrated Chinese and Western Medicine.

Chen Hongyu, Zheng Xinyi, Wang Zeng, Ding Xiaoyu, X U Luhuan, Zhu Qin

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Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Chen HongyuDepartment of Nephrology (Key Laboratory of Zhejiang Province, Management of Kidney Disease), Hangzhou TCM Hopspital Affiliated to Zhejiang Chinese Medical University, Hangzhou 310007, China.
Zheng XinyiDepartment of Nephrology (Key Laboratory of Zhejiang Province, Management of Kidney Disease), Hangzhou TCM Hopspital Affiliated to Zhejiang Chinese Medical University, Hangzhou 310007, China.
Wang ZengDepartment of Nephrology (Key Laboratory of Zhejiang Province, Management of Kidney Disease), Hangzhou TCM Hopspital Affiliated to Zhejiang Chinese Medical University, Hangzhou 310007, China.
Ding XiaoyuDepartment of Nephrology (Key Laboratory of Zhejiang Province, Management of Kidney Disease), Hangzhou TCM Hopspital Affiliated to Zhejiang Chinese Medical University, Hangzhou 310007, China.
X U LuhuanDepartment of Nephrology (Key Laboratory of Zhejiang Province, Management of Kidney Disease), Hangzhou TCM Hopspital Affiliated to Zhejiang Chinese Medical University, Hangzhou 310007, China.
Zhu QinDepartment of Nephrology (Key Laboratory of Zhejiang Province, Management of Kidney Disease), Hangzhou TCM Hopspital Affiliated to Zhejiang Chinese Medical University, Hangzhou 310007, China.

Funding

Health Commission of Hangzhou city: Study on Prognosis Model of IgA Nephropathy Combined with Chinese and Western Medicine based on Artificial Neural Network A20210083Medical Scientific Research Foundation of Zhejiang Province: Study on the Mechanism of Asiaticoside Mediate DHCR24/LXR Signaling Axis to Regulate Macrophage Innate Immune Response in Diabetic Kidney Disease 2023RC242Natural Science Foundation-funded Project: Study on the Mechanism of Compound Centella Asiatica Mediate 24-dehydrocholesterol Reductase/Liver X Receptors (DHCR24/LXR) Signaling Axis to Regulate Macrophage Activation and Alleviate Microinflammation in Diabetic Kidney Disease 82205008Zhejiang Chinese Medical University Research Foundation: Study on Wang Yongjun's Clinical Decision Model for Diagnosis and Treatment of Diabetic Nephropathy based on Graph Convolutional Neural Network 2022FSYYZZ14Zhejiang Traditional Medicine and Technology Program: Chen Hongyu's Academic Thought and Clinical Experience in the Diagnosis and Treatment of Diabetic Nephropathy by Knowledge Map 2023ZF137
6 · The paper itself

Abstract

objectiveTo establish and evaluate a prognostic model of immunoglobulin A nephropathy (IgAN) based on integrated Chinese and Western Medicine.

methodsRetrospective analysis from 1/1/2013 to 12/31/2015 was performed on 735 patients who were diagnosed with IgAN. In addition, 105 external data sets from 1/1/2016 to 12/31/2018 were used to verify the constructed model. The end point was entry into end-stage renal disease or a doubling of serum creatinine (Scr) level from baseline. Kaplan-Meier curve survival analysis and multivariable Cox regression analysis were used to find independent prognostic factors. MATLAB 2018b and artificial neural network (ANN) were used to construct prognostic risk factor prediction models each for Traditional Chinese Medicine (TCM), Western Medicine, and integrated TCM and Western Medicine. The ANN model incorporated WANG Yongjun's new five-type syndrome differentiation for IgAN. The prediction efficiencies of the three models were compared using the confusion matrix and the area under thecurve (AUC).

resultsPatients from 1/1/2013 to 12/31/2015 were followed for a mean of (46 ± 19) months. The 5-year median overall renal survival time was 58.6 months, and a total of 40 patients (5.4%) entered the endpoint. Ratio of males to females was 1.48:1. Median age of patients undergoing renal puncture was 35 years. Median 24-hour urinary protein was 0.55 g and 37 patients (5.0%) had pronounced proteinuria (24-hour urine protein ≥ 3.5 g). Median serum creatinine was 76 μmol/L and mean estimated glomerular filtration rate was (90 ± 33) mL/min per 1.73 m

conclusionsANN can be used to successfully construct a 5-year prediction model of IgAN after renal puncture. The efficiency of this model, which combines TCM and Western Medicine factors based on Wang's new five-type syndrome differentiation, exceeds that of Western Medicine factors or TCM factors alone in data from this single-center retrospective study.

Indexed as

Glomerulonephritis, IGANeural Networks, ComputerAdolescentAdultDrugs, Chinese HerbalFemaleHumansMaleMedicine, Chinese TraditionalMiddle AgedPrognosisRetrospective StudiesYoung AdultDrugs, Chinese Herbalconvolutional neural networksglomerulonephritis, IGAMedicine, Chinese TraditionalSupporting informationprognosis

Identifiers

PMID40524307
PMCPMC12134308

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