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A risk score model of contrast-induced acute kidney injury in patients with emergency percutaneous coronary interventions

BACKGROUND: The previously built score models of contrast-induced acute kidney injury (CI-AKI) were principally founded on selective percutaneous coronary intervention (PCI) cases. Our study was to form a risk score model of CI-AKI and make a temporal validation in a population who underwent emergen...

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Autores principales: Yuan, Ying, Qiu, Hong, Hu, Xiaoying, Zhang, Jun, Wu, Yuan, Qiao, Shubin, Yang, Yuejin, Gao, Runlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606750/
https://www.ncbi.nlm.nih.gov/pubmed/36312242
http://dx.doi.org/10.3389/fcvm.2022.989243
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author Yuan, Ying
Qiu, Hong
Hu, Xiaoying
Zhang, Jun
Wu, Yuan
Qiao, Shubin
Yang, Yuejin
Gao, Runlin
author_facet Yuan, Ying
Qiu, Hong
Hu, Xiaoying
Zhang, Jun
Wu, Yuan
Qiao, Shubin
Yang, Yuejin
Gao, Runlin
author_sort Yuan, Ying
collection PubMed
description BACKGROUND: The previously built score models of contrast-induced acute kidney injury (CI-AKI) were principally founded on selective percutaneous coronary intervention (PCI) cases. Our study was to form a risk score model of CI-AKI and make a temporal validation in a population who underwent emergency PCIs. METHODS: We included patients who underwent emergency PCIs from 2013 to 2018 and divided them into the derivation and validation cohorts. Logistic regression analysis was harnessed to create the risk model. In this research, we defined CI-AKI as an increase in serum creatinine (SCr) ≥0.5 mg/dL (44.2 μmol/L) above baseline within seven days following exposure to contrast medium. RESULTS: A total of 3564 patients who underwent emergency PCIs were enrolled and divided into the derivation (2376 cases) and validation cohorts (1188 cases), with CI-AKI incidence of 6.61 and 5.39%, respectively. By logistic analysis, the CI-AKI risk score model was constituted by 8 variables: female (1 point), history of transient ischemic attack (TIA)/stroke (1 point), left ventricular ejection fraction (LVEF) classification (1 point per class), big endothelin-1 (ET-1) classification (1 point per class), estimated glomerular filtration rate (eGFR) classification (1 point per class), intra-aortic balloon pump (IABP) application (1 point), left anterior descending (LAD) stented (1 point), and administration of diuretic (2 points). The patients could be further divided into three groups: low-risk, moderate-risk, and high-risk groups, in accordance with the risk scores of 3–6, 7–10, and ≥11 points, and to the CI-AKI rates of 1.4, 11.9, and 42.6%. The CI-AKI risk score model performed well in discrimination (C statistic = 0.787, 95% CI: 0.731–0.844) and calibration ability, and showed a superior clinical utility. CONCLUSION: We developed a simple CI-AKI risk score model which performs well as a tool for CI-AKI prediction in patients who underwent emergency PCIs.
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spelling pubmed-96067502022-10-28 A risk score model of contrast-induced acute kidney injury in patients with emergency percutaneous coronary interventions Yuan, Ying Qiu, Hong Hu, Xiaoying Zhang, Jun Wu, Yuan Qiao, Shubin Yang, Yuejin Gao, Runlin Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: The previously built score models of contrast-induced acute kidney injury (CI-AKI) were principally founded on selective percutaneous coronary intervention (PCI) cases. Our study was to form a risk score model of CI-AKI and make a temporal validation in a population who underwent emergency PCIs. METHODS: We included patients who underwent emergency PCIs from 2013 to 2018 and divided them into the derivation and validation cohorts. Logistic regression analysis was harnessed to create the risk model. In this research, we defined CI-AKI as an increase in serum creatinine (SCr) ≥0.5 mg/dL (44.2 μmol/L) above baseline within seven days following exposure to contrast medium. RESULTS: A total of 3564 patients who underwent emergency PCIs were enrolled and divided into the derivation (2376 cases) and validation cohorts (1188 cases), with CI-AKI incidence of 6.61 and 5.39%, respectively. By logistic analysis, the CI-AKI risk score model was constituted by 8 variables: female (1 point), history of transient ischemic attack (TIA)/stroke (1 point), left ventricular ejection fraction (LVEF) classification (1 point per class), big endothelin-1 (ET-1) classification (1 point per class), estimated glomerular filtration rate (eGFR) classification (1 point per class), intra-aortic balloon pump (IABP) application (1 point), left anterior descending (LAD) stented (1 point), and administration of diuretic (2 points). The patients could be further divided into three groups: low-risk, moderate-risk, and high-risk groups, in accordance with the risk scores of 3–6, 7–10, and ≥11 points, and to the CI-AKI rates of 1.4, 11.9, and 42.6%. The CI-AKI risk score model performed well in discrimination (C statistic = 0.787, 95% CI: 0.731–0.844) and calibration ability, and showed a superior clinical utility. CONCLUSION: We developed a simple CI-AKI risk score model which performs well as a tool for CI-AKI prediction in patients who underwent emergency PCIs. Frontiers Media S.A. 2022-10-13 /pmc/articles/PMC9606750/ /pubmed/36312242 http://dx.doi.org/10.3389/fcvm.2022.989243 Text en Copyright © 2022 Yuan, Qiu, Hu, Zhang, Wu, Qiao, Yang and Gao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Yuan, Ying
Qiu, Hong
Hu, Xiaoying
Zhang, Jun
Wu, Yuan
Qiao, Shubin
Yang, Yuejin
Gao, Runlin
A risk score model of contrast-induced acute kidney injury in patients with emergency percutaneous coronary interventions
title A risk score model of contrast-induced acute kidney injury in patients with emergency percutaneous coronary interventions
title_full A risk score model of contrast-induced acute kidney injury in patients with emergency percutaneous coronary interventions
title_fullStr A risk score model of contrast-induced acute kidney injury in patients with emergency percutaneous coronary interventions
title_full_unstemmed A risk score model of contrast-induced acute kidney injury in patients with emergency percutaneous coronary interventions
title_short A risk score model of contrast-induced acute kidney injury in patients with emergency percutaneous coronary interventions
title_sort risk score model of contrast-induced acute kidney injury in patients with emergency percutaneous coronary interventions
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606750/
https://www.ncbi.nlm.nih.gov/pubmed/36312242
http://dx.doi.org/10.3389/fcvm.2022.989243
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