Construction of a Prediction Model for the Mortality of Elderly Patients with Diabetic Nephropathy.

Abstract

To construct a prediction model for all-cause mortality in elderly diabetic nephropathy (DN) patients, in this cohort study, the data of 511 DN patients aged ≥65 years were collected and the participants were divided into the training set (n = 358) and the testing set (n = 153). The median survival time of all participants was 2 years. The data in the training set were grouped into the survival group (n = 203) or the death group (n = 155). Variables with P ≤ 0.1 between the two groups were selected as preliminary predictors and involved into the multivariable logistic regression model and the covariables were gradually adjusted. The receiver operator characteristic (ROC), Kolmogorov-Smirnov (KS), and calibration curves were plotted for evaluating the predictive performance of the model. Internal validation of the performance of the model was verified in the testing set. The predictive values of the model were also conducted in terms of people with different genders and ages or accompanied with chronic kidney disease (CKD) or cardiovascular diseases (CVD), respectively. In total, 216 (42.27%) elderly DN patients were dead within 2 years. The prediction model for the 2-year mortality of elderly patients with DN was established based on length of stay (LOS), temperature, heart rate, peripheral oxygen saturation (SpO2), serum creatinine (Scr), red cell distribution width (RDW), the simplified acute physiology score-II (SAPS-II), hyperlipidemia, and the Chronic Kidney Disease Epidemiology Collaboration equation for estimated glomerular filtration rate (eGFR-CKD-EPI). The AUC of the model was 0.78 (95% CI: 0.73-0.83) in the training set and 0.72 (95% CI: 0.63-0.80) in the testing set. The AUC of the model was 0.78 (95% CI: 0.65-0.91) in females and 0.78 (95%CI: 0.68-0.88) in patients ≤75 years. The AUC of the model was 0.74 (95% CI: 0.64-0.84) in patients accompanied with CKD. The model had good predictive value for the mortality of elderly patients with DN within 2 years. In addition, the model showed good predictive values for female DN patients, DN patients ≤75 years, and DN patients accompanied with CKD.

• Authors: Li Wang, Yan Lv
• Journal: Journal of healthcare engineering (J Healthc Eng) Vol. 2022 Pg. 5724050 ( 2022) ISSN: 2040-2309 [Electronic] England
• PMID: 36133909 (Publication Type: Journal Article)
• Copyright: Copyright © 2022 Li Wang and Yan Lv.

Chemical References

• Creatinine

Topics

• Aged
• Cohort Studies
• Creatinine
• Diabetes Mellitus
• Diabetic Nephropathies (complications)
• Female
• Glomerular Filtration Rate (physiology)
• Humans
• Male
• Renal Insufficiency, Chronic