A dynamic nomogram for predicting survival among diabetic patients on maintenance hemodialysis
Ying Chen and Yao Wang contributed equally to the study and Yi Shen and Li Yuan joined directly to the paper.
Funding information: Nantong Municipal Bureau of Science and Technology Project, Grant/Award Number: MS12017017-7; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China, Grant/Award Number: 81200490; Traditional Chinese Medicine Science and Technology Development Program of Jiangsu, Grant/Award Number: YB201985
Abstract
Introduction
Among maintenance hemodialysis (MHD) patients, ones with diabetes mellitus (DM) are known to have the worst outcome.
Methods
A total of 263 MHD patients were included, a dynamic nomogram was established based on multivariable Cox regression analysis.
Results
The median overall survival (OS) time was 46 months. The 1-, 3-, and 5-year OS rates were 90.9%, 70.5% and 53.9%, respectively. The multivariable Cox regression analysis indicated that DM duration, cardiovascular complication, baseline values before starting MHD for estimated glomerular filtration rate and serum phosphate were independent risk factors. The C-index of the dynamic nomogram was 0.745 and the calibration curves showed optimal agreement between the model prediction and actual observation for predicting survival probabilities.
Conclusions
Our study was the first to establish dynamic nomogram among diabetic MHD patients, the fast and convenient online tool can be used for individual risk estimation at the point of prognosis prediction.
CONFLICT OF INTEREST
No potential conflict of interest was reported by the author(s).
Open Research
DATA AVAILABILITY STATEMENT
The data supporting the conclusions of this article are included in the article and additional files. But The Affiliated Hospital of Nantong University and The First People's Hospital of Nantong do not allow data to be transferred or shared without their permission. Therefore they are partially available from the corresponding author on reasonable request (Email: [email protected]).
