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Ni S, Xu P, Zhang K, Zou H, Luo H, Liu C, Li Y, Li Y, Wang D, Zhang R, Zu R. A novel prognostic model for malignant patients with Gram-negative bacteremia based on real-world research. Sci Rep 2022; 12:11644. [PMID: 35804024 PMCID: PMC9270414 DOI: 10.1038/s41598-022-15126-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 06/20/2022] [Indexed: 11/20/2022] Open
Abstract
Gram-negative bacteremia (GNB) is a common complication in malignant patients. Identifying risk factors and developing a prognostic model for GNB might improve the survival rate. In this observational and real-world study, we retrospectively analyzed the risk factors and outcomes of GNB in malignant patients. Multivariable regression was used to identify risk factors for the incidence of GNB, while Cox regression analysis was performed to identify significant prognostic factors. A prognostic model was constructed based on Cox regression analysis and presented on a nomogram. ROC curves, calibration plots, and Kaplan–Meier analysis were used to estimate the model. It comprised 1004 malignant patients with Bloodstream infection (BSI) in the study cohort, 65.7% (N = 660) acquired GNB. Multivariate analysis showed gynecologic cancer, hepatobiliary cancer, and genitourinary cancer were independent risk factors related to the incidence of GNB. Cox regression analysis raised that shock, admission to ICU before infection, pulmonary infection, higher lymphocyte counts, and lower platelet counts were independent risk factors for overall survival (OS). The OS was significantly different between the two groups classified by optimal cut-off value (log-rank, p < 0.001). Above all, a nomogram was created based on the prognostic model, which was presented on a website freely. This real-world study was concentrated on the malignant patients with GNB and proved that shock, admission to ICU before infection, pulmonary infection, higher lymphocyte counts, and lower platelet counts were related to the death of these patients. And a prognostic model was constructed to estimate the risk score of mortality, further to reduce the risk of death.
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Affiliation(s)
- Sujiao Ni
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Pingyao Xu
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Kaijiong Zhang
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Haiming Zou
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Huaichao Luo
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Chang Liu
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Yuping Li
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Yan Li
- Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Dongsheng Wang
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
| | - Renfei Zhang
- Department of Clinical Laboratory, The Third Hospital of Mianyang (Sichuan Mental Health Center), Mianyang, Sichuan, China.
| | - Ruiling Zu
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
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Zhan Y, Chen P, Chen J, Wang H, Xu Z, Chen Y. Allocation of the ICU wards according to the patient's infection condition: a measure to improve antibiotic resistance. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2020; 24:472. [PMID: 32727621 PMCID: PMC7391594 DOI: 10.1186/s13054-020-03192-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 07/20/2020] [Indexed: 11/18/2022]
Affiliation(s)
- Yefei Zhan
- Department of Intensive Care Unit, Hwa Mei Hospital, University of Chinese Academy of Sciences, No.41, Northwest Street, Ningbo, 315010, Zhejiang, China.,Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China
| | - Peifu Chen
- Department of Intensive Care Unit, Hwa Mei Hospital, University of Chinese Academy of Sciences, No.41, Northwest Street, Ningbo, 315010, Zhejiang, China.,Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China
| | - Jieqiong Chen
- Department of Intensive Care Unit, Hwa Mei Hospital, University of Chinese Academy of Sciences, No.41, Northwest Street, Ningbo, 315010, Zhejiang, China.,Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China
| | - Hua Wang
- Department of Intensive Care Unit, Hwa Mei Hospital, University of Chinese Academy of Sciences, No.41, Northwest Street, Ningbo, 315010, Zhejiang, China.,Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China
| | - Zhaojun Xu
- Department of Intensive Care Unit, Hwa Mei Hospital, University of Chinese Academy of Sciences, No.41, Northwest Street, Ningbo, 315010, Zhejiang, China. .,Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China.
| | - Yu Chen
- Department of Intensive Care Unit, Hwa Mei Hospital, University of Chinese Academy of Sciences, No.41, Northwest Street, Ningbo, 315010, Zhejiang, China. .,Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China.
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