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Derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in Chinese patients
BACKGROUND: Acute kidney injury (AKI) is a major complication of acute myocardial infarction(AMI), which can significantly increase mortality. This study is to analyze the related risk factors and establish a prediction score of acute kidney injury in order to take early measurement for prevention....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543657/ https://www.ncbi.nlm.nih.gov/pubmed/31146701 http://dx.doi.org/10.1186/s12882-019-1379-x |
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author | Xu, Feng-bo Cheng, Hong Yue, Tong Ye, Nan Zhang, He-jia Chen, Yi-pu |
author_facet | Xu, Feng-bo Cheng, Hong Yue, Tong Ye, Nan Zhang, He-jia Chen, Yi-pu |
author_sort | Xu, Feng-bo |
collection | PubMed |
description | BACKGROUND: Acute kidney injury (AKI) is a major complication of acute myocardial infarction(AMI), which can significantly increase mortality. This study is to analyze the related risk factors and establish a prediction score of acute kidney injury in order to take early measurement for prevention. METHODS: The medical records of 6014 hospitalized patients with AMI in Beijing Anzhen Hospital from January 2010 to December 2016 were retrospectively analyzed. These patients were randomly assigned into two cohorts: one was for the derivation of prediction score (n = 4252) and another for validation (n = 1762). The criterion for AKI was defined as an increase in serum creatinine of ≥ 0.3 mg/dL or ≥ 50% from baseline within 48 h. On the basis of odds ratio obtained from multivariate logistic regression analysis, a prediction score of acute kidney injury after AMI was built up. RESULTS: In this prediction score, risk score 1 point included hypertension history, heart rate > 100 bpm on admission, peak serum troponin I ≥ 100 μg/L, and time from admission to coronary reperfusion > 120 min; risks score 2 points included Killip classification ≥ class 3 on admission; and maximum dosage of intravenous furosemide ≥ 60 mg/d; risks score 3 points only included shock during hospitalization. In addition, when baseline estimated glomerular filtration rate (eGFR) was less than 90 ml/min·1.73 m(2), every 10 ml/min·1.73 m(2) reduction of eGFR increased risk score 1 point. Youden index showed that the best cut-off value for prediction of AKI was 3 points with a sensitivity of 71.1% and specificity 74.2%. The datasets of derivation and validation both displayed adequate discrimination (an area under the ROC curve, 0.79 and 0.81, respectively) and satisfactory calibration (Hosmer–Lemeshow statistic test, P = 0.63 and P = 0.60, respectively). CONCLUSIONS: In conclusion, a prediction score for AKI secondary to AMI in Chinese patients was established, which may help to prevent AKI early. |
format | Online Article Text |
id | pubmed-6543657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65436572019-06-04 Derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in Chinese patients Xu, Feng-bo Cheng, Hong Yue, Tong Ye, Nan Zhang, He-jia Chen, Yi-pu BMC Nephrol Research Article BACKGROUND: Acute kidney injury (AKI) is a major complication of acute myocardial infarction(AMI), which can significantly increase mortality. This study is to analyze the related risk factors and establish a prediction score of acute kidney injury in order to take early measurement for prevention. METHODS: The medical records of 6014 hospitalized patients with AMI in Beijing Anzhen Hospital from January 2010 to December 2016 were retrospectively analyzed. These patients were randomly assigned into two cohorts: one was for the derivation of prediction score (n = 4252) and another for validation (n = 1762). The criterion for AKI was defined as an increase in serum creatinine of ≥ 0.3 mg/dL or ≥ 50% from baseline within 48 h. On the basis of odds ratio obtained from multivariate logistic regression analysis, a prediction score of acute kidney injury after AMI was built up. RESULTS: In this prediction score, risk score 1 point included hypertension history, heart rate > 100 bpm on admission, peak serum troponin I ≥ 100 μg/L, and time from admission to coronary reperfusion > 120 min; risks score 2 points included Killip classification ≥ class 3 on admission; and maximum dosage of intravenous furosemide ≥ 60 mg/d; risks score 3 points only included shock during hospitalization. In addition, when baseline estimated glomerular filtration rate (eGFR) was less than 90 ml/min·1.73 m(2), every 10 ml/min·1.73 m(2) reduction of eGFR increased risk score 1 point. Youden index showed that the best cut-off value for prediction of AKI was 3 points with a sensitivity of 71.1% and specificity 74.2%. The datasets of derivation and validation both displayed adequate discrimination (an area under the ROC curve, 0.79 and 0.81, respectively) and satisfactory calibration (Hosmer–Lemeshow statistic test, P = 0.63 and P = 0.60, respectively). CONCLUSIONS: In conclusion, a prediction score for AKI secondary to AMI in Chinese patients was established, which may help to prevent AKI early. BioMed Central 2019-05-30 /pmc/articles/PMC6543657/ /pubmed/31146701 http://dx.doi.org/10.1186/s12882-019-1379-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Xu, Feng-bo Cheng, Hong Yue, Tong Ye, Nan Zhang, He-jia Chen, Yi-pu Derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in Chinese patients |
title | Derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in Chinese patients |
title_full | Derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in Chinese patients |
title_fullStr | Derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in Chinese patients |
title_full_unstemmed | Derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in Chinese patients |
title_short | Derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in Chinese patients |
title_sort | derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in chinese patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543657/ https://www.ncbi.nlm.nih.gov/pubmed/31146701 http://dx.doi.org/10.1186/s12882-019-1379-x |
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