Syndrome Differentiation of IgA Nephropathy Based on Clinicopathological Parameters: A Decision Tree Model
Joint Authors
He, Zhiren
Gu, Yanghui
Wang, Yu
Ji, Chunlan
Fan, Ping
Wang, Tao
Zou, Chuan
Liu, Xusheng
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Background.
IgA nephropathy is the most common cause of primary glomerulonephritis in China, and Traditional Chinese Medicine (TCM) is a vital treatment strategy.
However, not all doctors prescribing TCM medicine have adequate knowledge to classify the syndrome accurately.
Aim.
To explore the feasibility of differentiation of TCM syndrome types among IgA nephropathy patients based on clinicopathological parameters.
Materials and Methods.
The cross-sectional study enrolled 464 biopsy-proven IgA nephropathy adult patients from 2010 to 2016.
The demographic data, clinicopathological features, and TCM syndrome types were collected, and the decision tree models based on classification and regression tree were built to differentiate between the syndrome types.
Results.
370 patients of training dataset were 32 years old with serum creatinine of 79 μmol/L, estimated glomerular filtration rate (eGFR) of 97.2 mL/min/1.73 m2, and proteinuria of 1.0 g/day.
The scores of Oxford classifications were as follows: M1 = 97.6%, E1 = 14.6%, S1 = 50.0%, and T1 = 52.2%/T2 = 18.4%.
The decision trees without or with MEST scores achieved equal precision in training data.
However, the tree with MEST scores performed better in validation dataset, especially in classifying the syndrome of qi deficiency of spleen and kidney.
Conclusion.
A feasible method to deduce TCM syndromes of IgA nephropathy patients by common parameters in routine clinical practice was proposed.
The MEST scores helped in the differentiation of TCM syndromes with clinical data.
American Psychological Association (APA)
Gu, Yanghui& Wang, Yu& Ji, Chunlan& Fan, Ping& He, Zhiren& Wang, Tao…[et al.]. 2017. Syndrome Differentiation of IgA Nephropathy Based on Clinicopathological Parameters: A Decision Tree Model. Evidence-Based Complementary and Alternative Medicine،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1153313
Modern Language Association (MLA)
Gu, Yanghui…[et al.]. Syndrome Differentiation of IgA Nephropathy Based on Clinicopathological Parameters: A Decision Tree Model. Evidence-Based Complementary and Alternative Medicine No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1153313
American Medical Association (AMA)
Gu, Yanghui& Wang, Yu& Ji, Chunlan& Fan, Ping& He, Zhiren& Wang, Tao…[et al.]. Syndrome Differentiation of IgA Nephropathy Based on Clinicopathological Parameters: A Decision Tree Model. Evidence-Based Complementary and Alternative Medicine. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1153313
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153313