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Acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function
BACKGROUND: We aimed to develop a nomogram based on preprocedural features for early prediction of acute kidney injury (AKI) and to assess the prognosis in patients after radical and partial nephrectomy. METHODS: The study included a development cohort of 1111 patients who were treated between June...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227356/ https://www.ncbi.nlm.nih.gov/pubmed/32410656 http://dx.doi.org/10.1186/s12882-020-01839-0 |
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author | Xu, Lingyu Li, Chenyu Zhao, Long Zhou, Bin Luo, Congjuan Man, Xiaofei Luan, Hong Che, Lin Wang, Yanfei Xu, Yan |
author_facet | Xu, Lingyu Li, Chenyu Zhao, Long Zhou, Bin Luo, Congjuan Man, Xiaofei Luan, Hong Che, Lin Wang, Yanfei Xu, Yan |
author_sort | Xu, Lingyu |
collection | PubMed |
description | BACKGROUND: We aimed to develop a nomogram based on preprocedural features for early prediction of acute kidney injury (AKI) and to assess the prognosis in patients after radical and partial nephrectomy. METHODS: The study included a development cohort of 1111 patients who were treated between June 2012 and June 2017 and an additional validation cohort of 356 patients who were treated between July 2017 and June 2018. Stepwise regression and logistic regression analyses were used to evaluate the association between predictors and AKI. Incorporating all independent predictors, a nomogram for postoperative AKI was developed and externally validated. Patients were followed up for 5 years to assess renal function, acute kidney disease (AKD), chronic kidney disease (CKD), hospital readmission and mortality were key prognosis we focused on. RESULTS: After multivariate logistic regression, radical nephrectomy (odds ratio (OR) = 3.57, p < 0.001), aspirin (OR = 1.79, p = 0.008), systolic blood pressure (OR = 1.41, p = 0.004), triglyceride (OR = 1.26, p = 0.024), and alkaline phosphatase (OR = 1.75, p = 0.034) were independent risk factors for postoperative AKI, while albumin (OR = 0.72, p = 0.031) was a protective factor for postoperative AKI. Patients with a higher estimated glomerular filtration rate (eGFR) (60–90 ml/min/1.73 m(2), OR = 0.41, p = 0.004; ≥ 90 ml/min/1.73 m(2), OR = 0.37, p < 0.001) were less prone to AKI than those with a lower eGFR (< 15 ml/min/1.73 m(2)). These predictors were all included in the final nomogram. The area under the receiver operating characteristics curve for the model were 0.77 (p < 0.001) in the development cohort and 0.72 (p < 0.001) in the validation cohort. The incidence of AKD and CKD were 27.12 and 18.64% in AKI group, which were much higher than those in no AKI group (p < 0.001). CONCLUSIONS: The nomogram had excellent predictive ability and might have significant clinical implications for the early detection of AKI in patients undergoing nephrectomy. |
format | Online Article Text |
id | pubmed-7227356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72273562020-05-27 Acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function Xu, Lingyu Li, Chenyu Zhao, Long Zhou, Bin Luo, Congjuan Man, Xiaofei Luan, Hong Che, Lin Wang, Yanfei Xu, Yan BMC Nephrol Research Article BACKGROUND: We aimed to develop a nomogram based on preprocedural features for early prediction of acute kidney injury (AKI) and to assess the prognosis in patients after radical and partial nephrectomy. METHODS: The study included a development cohort of 1111 patients who were treated between June 2012 and June 2017 and an additional validation cohort of 356 patients who were treated between July 2017 and June 2018. Stepwise regression and logistic regression analyses were used to evaluate the association between predictors and AKI. Incorporating all independent predictors, a nomogram for postoperative AKI was developed and externally validated. Patients were followed up for 5 years to assess renal function, acute kidney disease (AKD), chronic kidney disease (CKD), hospital readmission and mortality were key prognosis we focused on. RESULTS: After multivariate logistic regression, radical nephrectomy (odds ratio (OR) = 3.57, p < 0.001), aspirin (OR = 1.79, p = 0.008), systolic blood pressure (OR = 1.41, p = 0.004), triglyceride (OR = 1.26, p = 0.024), and alkaline phosphatase (OR = 1.75, p = 0.034) were independent risk factors for postoperative AKI, while albumin (OR = 0.72, p = 0.031) was a protective factor for postoperative AKI. Patients with a higher estimated glomerular filtration rate (eGFR) (60–90 ml/min/1.73 m(2), OR = 0.41, p = 0.004; ≥ 90 ml/min/1.73 m(2), OR = 0.37, p < 0.001) were less prone to AKI than those with a lower eGFR (< 15 ml/min/1.73 m(2)). These predictors were all included in the final nomogram. The area under the receiver operating characteristics curve for the model were 0.77 (p < 0.001) in the development cohort and 0.72 (p < 0.001) in the validation cohort. The incidence of AKD and CKD were 27.12 and 18.64% in AKI group, which were much higher than those in no AKI group (p < 0.001). CONCLUSIONS: The nomogram had excellent predictive ability and might have significant clinical implications for the early detection of AKI in patients undergoing nephrectomy. BioMed Central 2020-05-14 /pmc/articles/PMC7227356/ /pubmed/32410656 http://dx.doi.org/10.1186/s12882-020-01839-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Xu, Lingyu Li, Chenyu Zhao, Long Zhou, Bin Luo, Congjuan Man, Xiaofei Luan, Hong Che, Lin Wang, Yanfei Xu, Yan Acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function |
title | Acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function |
title_full | Acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function |
title_fullStr | Acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function |
title_full_unstemmed | Acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function |
title_short | Acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function |
title_sort | acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227356/ https://www.ncbi.nlm.nih.gov/pubmed/32410656 http://dx.doi.org/10.1186/s12882-020-01839-0 |
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