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Mu F, Cui C, Tang M, Guo G, Zhang H, Ge J, Bai Y, Zhao J, Cao S, Wang J, Guan Y. Analysis of a machine learning-based risk stratification scheme for acute kidney injury in vancomycin. Front Pharmacol 2022; 13:1027230. [PMID: 36506557 PMCID: PMC9730034 DOI: 10.3389/fphar.2022.1027230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/11/2022] [Indexed: 11/25/2022] Open
Abstract
Vancomycin-associated acute kidney injury (AKI) continues to pose a major challenge to both patients and healthcare providers. The purpose of this study is to construct a machine learning framework for stratified predicting and interpreting vancomycin-associated AKI. Our study is a retrospective analysis of medical records of 724 patients who have received vancomycin therapy from 1 January 2015 through 30 September 2020. The basic clinical information, vancomycin dosage and days, comorbidities and medication, laboratory indicators of the patients were recorded. Machine learning algorithm of XGBoost was used to construct a series risk prediction model for vancomycin-associated AKI in different underlying diseases. The vast majority of sub-model performed best on the corresponding sub-dataset. Additionally, the aim of this study was to explain each model and to explore the influence of clinical variables on prediction. As the results of the analysis showed that in addition to the common indicators (serum creatinine and creatinine clearance rate), some other underappreciated indicators such as serum cystatin and cumulative days of vancomycin administration, weight and age, neutrophils and hemoglobin were the risk factors for cancer, diabetes mellitus, heptic insufficiency respectively. Stratified analysis of the comorbidities in patients with vancomycin-associated AKI further confirmed the necessity for different patient populations to be studied.
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Affiliation(s)
- Fei Mu
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Chen Cui
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Meng Tang
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Guiping Guo
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Haiyue Zhang
- Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, Xi’an, China
| | - Jie Ge
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Yujia Bai
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Jinyi Zhao
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Shanshan Cao
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Jingwen Wang
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China,*Correspondence: Jingwen Wang, ; Yue Guan,
| | - Yue Guan
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China,*Correspondence: Jingwen Wang, ; Yue Guan,
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Kim JY, Yee J, Yoon HY, Han JM, Gwak HS. Risk factors for vancomycin‐associated acute kidney injury: a systematic review and meta‐analysis. Br J Clin Pharmacol 2022; 88:3977-3989. [DOI: 10.1111/bcp.15429] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 05/18/2022] [Accepted: 05/29/2022] [Indexed: 11/30/2022] Open
Affiliation(s)
- Jee Yun Kim
- College of Pharmacy and Graduate School of Pharmaceutical Sciences Ewha Womans University Seoul Republic of Korea
- Department of Pharmacy Catholic Kwandong University International St. Mary’s Hospital Incheon Republic of Korea
| | - Jeong Yee
- College of Pharmacy and Graduate School of Pharmaceutical Sciences Ewha Womans University Seoul Republic of Korea
| | - Ha Young Yoon
- College of Pharmacy and Graduate School of Pharmaceutical Sciences Ewha Womans University Seoul Republic of Korea
| | - Ji Min Han
- College of Pharmacy Chungbuk National University Cheongju‐si Chungcheongbuk‐do Republic of Korea
| | - Hye Sun Gwak
- College of Pharmacy and Graduate School of Pharmaceutical Sciences Ewha Womans University Seoul Republic of Korea
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