A novel web-based calculator to predict 30-day all-cause in-hospital mortality for 7,202 elderly patients with heart failure in ICUs: a multicenter retrospective cohort study in the United States.
Autor: | Wang Z; Artificial Intelligence Laboratory, Pharnexcloud Digital Technology (Chengdu) Co. Ltd., Chengdu, China., Huang J; Graduate School, Guangxi University of Chinese Medicine, Nanning, China., Zhang Y; College of Medical Informatics, Chongqing Medical University, Chongqing, China.; Medical Data Science Academy, Chongqing Medical University, Chongqing, China., Liu X; College of Medical Informatics, Chongqing Medical University, Chongqing, China., Shu T; Department of Cardiology, Daping Hospital, The Third Military Medical University (Army Medical University), Chongqing, China., Duan M; College of Medical Informatics, Chongqing Medical University, Chongqing, China.; Medical Data Science Academy, Chongqing Medical University, Chongqing, China., Wang H; College of Medical Informatics, Chongqing Medical University, Chongqing, China., Yin C; Faculty of Medicine, Macau University of Science and Technology, Macau, Macau SAR, China., Cao J; Department of Medical Quality Control, The First People's Hospital of Zigong City, Zigong, China. |
---|---|
Jazyk: | angličtina |
Zdroj: | Frontiers in medicine [Front Med (Lausanne)] 2023 Sep 15; Vol. 10, pp. 1237229. Date of Electronic Publication: 2023 Sep 15 (Print Publication: 2023). |
DOI: | 10.3389/fmed.2023.1237229 |
Abstrakt: | Background and Aims: Heart failure (HF) is a significant cause of in-hospital mortality, especially for the elderly admitted to intensive care units (ICUs). This study aimed to develop a web-based calculator to predict 30-day in-hospital mortality for elderly patients with HF in the ICU and found a relationship between risk factors and the predicted probability of death. Methods and Results: Data ( N = 4450) from the MIMIC-III/IV database were used for model training and internal testing. Data ( N = 2,752) from the eICU-CRD database were used for external validation. The Brier score and area under the curve (AUC) were employed for the assessment of the proposed nomogram. Restrictive cubic splines (RCSs) found the cutoff values of variables. The smooth curve showed the relationship between the variables and the predicted probability of death. A total of 7,202 elderly patients with HF were included in the study, of which 1,212 died. Multivariate logistic regression analysis showed that 30-day mortality of HF patients in ICU was significantly associated with heart rate (HR), 24-h urine output (24h UOP), serum calcium, blood urea nitrogen (BUN), NT-proBNP, SpO Conclusion: Decreased temperature, decreased SpO Competing Interests: ZW was employed by the Pharnexcloud Digital Technology (Chengdu) Co. Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Wang, Huang, Zhang, Liu, Shu, Duan, Wang, Yin and Cao.) |
Databáze: | MEDLINE |
Externí odkaz: |