The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study
| Autor: | Jing-jing Zhang, Xiang-zhou Li, Jian-min Huang, Xin Tian, Li Zhao, Peng Xie |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Male
Nephrology China medicine.medical_specialty Correlation coefficient Renal function Chronic kidney disease (CKD) Asian modified CKD-EPI equation urologic and male genital diseases Machine Learning Sex Factors Asian People Glomerular filtration rate (GFR) Internal medicine Linear regression Statistics Humans Ensemble learning model Medicine Renal Insufficiency Chronic Radionuclide Imaging business.industry Research Age Factors Regression analysis Middle Aged medicine.disease Ensemble learning female genital diseases and pregnancy complications Diseases of the genitourinary system. Urology Cohort Regression Analysis Technetium Tc 99m Pentetate Female RC870-923 Radiopharmaceuticals business Glomerular Filtration Rate Kidney disease |
| Zdroj: | BMC Nephrology BMC Nephrology, Vol 22, Iss 1, Pp 1-8 (2021) |
| ISSN: | 1471-2369 |
| DOI: | 10.1186/s12882-021-02595-5 |
| Popis: | Objective To assess the clinical practicability of the ensemble learning model established by Liu et al. in estimating glomerular filtration rate (GFR) and validate whether it is a better model than the Asian modified Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in a cohort of Chinese chronic kidney disease (CKD) patients in an external validation study. Methods According to the ensemble learning model and the Asian modified CKD-EPI equation, we calculated estimated GFRensemble and GFRCKD-EPI, separately. Diagnostic performance of the two models was assessed and compared by correlation coefficient, regression equation, Bland–Altman analysis, bias, precision and P30 under the premise of 99mTc-diethylenetriaminepentaacetic acid (99mTc-DTPA) dual plasma sample clearance method as reference method for GFR measurement (mGFR). Results A total of 158 Chinese CKD patients were included in our external validation study. The GFRensemble was highly related with mGFR, with the correlation coefficient of 0.94. However, regression equation of GFRensemble = 0.66*mGFR + 23.05, the regression coefficient was far away from one, and the intercept was wide. Compared with the Asian modified CKD-EPI equation, the diagnostic performance of the ensemble learning model also demonstrated a wider 95% limit of agreement in Bland-Altman analysis (52.6 vs 42.4 ml/min/1.73 m2), a poorer bias (8.0 vs 1.0 ml/min/1.73 m2, P = 0.02), an inferior precision (18.4 vs 12.7 ml/min/1.73 m2, P 30 (58.9% vs 74.1%, P Conclusions Our study showed that the ensemble learning model cannot replace the Asian modified CKD-EPI equation for the first choice for GFR estimation in overall Chinese CKD patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink