Analysis of In-Hospital Mortality Risk Factors and Establishment of a Nomogram Prediction Model for Patients with Stage 5 CKD in the Intensive Care Unit (ICU)
Background: Patients with stage 5 chronic kidney disease (CKD5) have a high risk of mortality. ICU patients have lots of abnormal results. Defining the risk factors for in-hospital mortality in ICU CKD5 patients will help doctors pay more attention to the most important factors and intervene in a timely manner. In this study, we analyzed the risk factors related to in-hospital mortality and drew the nomogram to predict in-hospital mortality in CKD5 non-dialysis (CKD 5ND) patients. Methods: According to the diagnosis code, 495 CKD 5ND patients were selected from the MIMIC-IV database. The differences between the survival group and the death group were analyzed by two independent samples t-test, rank-sum test, or chi-square test. The nomograms to predict the risk of in-hospital mortality in CKD 5ND patients were established respectively. In order to evaluate the nomogram, ROC curve, calibration curve, and DCA curve were used. Boostrap-resampling was used for internal verification. eICU patients were used for external verification. And the predictive performance of the nomogram was compared with commonly scores. Results: There were 1439 CKD5 patients in the MIMIC-IV database, including 495 non-dialysis patients. There were 425 CKD5 ND patients in the survival group and 70 patients in the death group. Age, SBP, WBC, RDW, and BUN/Scr were the correlation factors for in-hospital mortality in CKD5 ND patients. Internal and external validation showed that the CKD5 ND patients nomogram prediction model had good calibration, clinical benefit, and discrimination (training set AUC=0.832, validation set AUC=0.770). The predictive ability of nomogram was better than the three commonly used scores. Conclusion: The nomogram prediction model predicting in-hospital mortality of CKD5 ND patients has good discrimination, calibration, and clinical value, which are established by Age, SBP, WBC, RDW, and BUN/Scr.
Authors
- Fanna Liu (ORCID: https://orcid.org/0000-0003-4687-4929)
Institutions
- Guangzhou Chemistry (China) (CN)
Publication Details
- Journal
- Journal of the American Society of Nephrology
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1681/asn.202456q8470x
- Primary Topic
- Pharmacy and Medical Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00