Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models
AbstractObjective To explore the correlation between neutrophil-to-lymphocyte ratio (NLR) and contrast-induced acute kidney injury (CI-AKI). To develop machine-learning (ML) methods based on NLR and other relevant high-risk factors to establish new and effective predictive models of CI-AKI. Methods:...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Renal Failure |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/0886022X.2023.2258983 |
| _version_ | 1797211820159664128 |
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| author | Fangfang Zhou Yi Lu Youjun Xu Jinpeng Li Shuzhen Zhang Yang Lin Qun Luo |
| author_facet | Fangfang Zhou Yi Lu Youjun Xu Jinpeng Li Shuzhen Zhang Yang Lin Qun Luo |
| author_sort | Fangfang Zhou |
| collection | DOAJ |
| description | AbstractObjective To explore the correlation between neutrophil-to-lymphocyte ratio (NLR) and contrast-induced acute kidney injury (CI-AKI). To develop machine-learning (ML) methods based on NLR and other relevant high-risk factors to establish new and effective predictive models of CI-AKI. Methods: The data of 2230 patients, who underwent elective vascular intervention, coronary angiography and percutaneous coronary intervention were retrospectively collected. The patients were divided into a CI-AKI group and a non-CI-AKI group. Logistic regression was used to analyze the correlation of NLR with CI-AKI and high-risk factors for CI-AKI, and logistic regression (LR), random forest (RF), gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), and naïve Bayes (NB) models based on NLR and the high-risk factors were established.Results A high NLR(>2.844) was an independent risk factor for CI-AKI (odds ratio = 2.304, p < 0.001). The area under the ROC curve (AUC) of the NB model was the largest (0.774), indicating that it had the best performance. NLR, serum creatinine concentration, fasting plasma glucose concentration, and use of β-blocker all accounted for a large proportion of the predictive performance of each model and were the four most important factors affecting the occurrence of CI-AKI.Conclusions There was a significant correlation between NLR and CI-AKI The NB model exhibited the best predictive performance out of the five ML models based on NLR exhibited the best predictive performance out of the five ML models. |
| first_indexed | 2024-03-08T11:50:34Z |
| format | Article |
| id | doaj.art-93195bc86e3d4759ab27a3dcabeb4508 |
| institution | Directory Open Access Journal |
| issn | 0886-022X 1525-6049 |
| language | English |
| last_indexed | 2024-04-24T10:32:34Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Renal Failure |
| spelling | doaj.art-93195bc86e3d4759ab27a3dcabeb45082024-04-12T14:34:28ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492023-12-0145210.1080/0886022X.2023.2258983Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive modelsFangfang Zhou0Yi Lu1Youjun Xu2Jinpeng Li3Shuzhen Zhang4Yang Lin5Qun Luo6Department of Nephrology, Ningbo NO.2 Hospital, Ningbo, PR ChinaDepartment of Nephrology, Ningbo NO.2 Hospital, Ningbo, PR ChinaDepartment of Nephrology, Ningbo NO.2 Hospital, Ningbo, PR ChinaNingbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, Zhejiang Province, PR ChinaDepartment of Nephrology, Ningbo NO.2 Hospital, Ningbo, PR ChinaHealth Management Center, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong Province, ChinaDepartment of Nephrology, Ningbo NO.2 Hospital, Ningbo, PR ChinaAbstractObjective To explore the correlation between neutrophil-to-lymphocyte ratio (NLR) and contrast-induced acute kidney injury (CI-AKI). To develop machine-learning (ML) methods based on NLR and other relevant high-risk factors to establish new and effective predictive models of CI-AKI. Methods: The data of 2230 patients, who underwent elective vascular intervention, coronary angiography and percutaneous coronary intervention were retrospectively collected. The patients were divided into a CI-AKI group and a non-CI-AKI group. Logistic regression was used to analyze the correlation of NLR with CI-AKI and high-risk factors for CI-AKI, and logistic regression (LR), random forest (RF), gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), and naïve Bayes (NB) models based on NLR and the high-risk factors were established.Results A high NLR(>2.844) was an independent risk factor for CI-AKI (odds ratio = 2.304, p < 0.001). The area under the ROC curve (AUC) of the NB model was the largest (0.774), indicating that it had the best performance. NLR, serum creatinine concentration, fasting plasma glucose concentration, and use of β-blocker all accounted for a large proportion of the predictive performance of each model and were the four most important factors affecting the occurrence of CI-AKI.Conclusions There was a significant correlation between NLR and CI-AKI The NB model exhibited the best predictive performance out of the five ML models based on NLR exhibited the best predictive performance out of the five ML models.https://www.tandfonline.com/doi/10.1080/0886022X.2023.2258983Neutrophil-to-lymphocyte ratiocontrast mediaacute kidney injurypredictive modelmachine learning |
| spellingShingle | Fangfang Zhou Yi Lu Youjun Xu Jinpeng Li Shuzhen Zhang Yang Lin Qun Luo Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models Renal Failure Neutrophil-to-lymphocyte ratio contrast media acute kidney injury predictive model machine learning |
| title | Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models |
| title_full | Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models |
| title_fullStr | Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models |
| title_full_unstemmed | Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models |
| title_short | Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models |
| title_sort | correlation between neutrophil to lymphocyte ratio and contrast induced acute kidney injury and the establishment of machine learning based predictive models |
| topic | Neutrophil-to-lymphocyte ratio contrast media acute kidney injury predictive model machine learning |
| url | https://www.tandfonline.com/doi/10.1080/0886022X.2023.2258983 |
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