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      Derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in Chinese patients

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          Abstract

          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.

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          Most cited references44

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          Universal definition of myocardial infarction.

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            Treatment of myocardial infarction in a coronary care unit. A two year experience with 250 patients.

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              AKI on CKD: heightened injury, suppressed repair, and the underlying mechanisms.

              Acute kidney injury (AKI) and chronic kidney disease (CKD) are interconnected. Although AKI-to-CKD transition has been intensively studied, the information of AKI on CKD is very limited. Nonetheless, AKI, when occurring in patients with CKD, is known to be more severe and difficult to recover. CKD is associated with significant changes in cell signaling in kidney tissues, including the activation of transforming growth factor-β, p53, hypoxia-inducible factor, and major developmental pathways. At the cellular level, CKD is characterized by mitochondrial dysfunction, oxidative stress, and aberrant autophagy. At the tissue level, CKD is characterized by chronic inflammation and vascular dysfunction. These pathologic changes may contribute to the heightened sensitivity of, and nonrecovery from, AKI in patients with CKD.
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                Author and article information

                Contributors
                drhongcheng@163.com
                Journal
                BMC Nephrol
                BMC Nephrol
                BMC Nephrology
                BioMed Central (London )
                1471-2369
                30 May 2019
                30 May 2019
                2019
                : 20
                : 195
                Affiliations
                ISNI 0000 0004 0369 153X, GRID grid.24696.3f, Department of Nephrology, Beijing Anzhen Hospital, , Capital Medical University, ; Beijing, People’s Republic of China
                Article
                1379
                10.1186/s12882-019-1379-x
                6543657
                31146701
                7663c61a-57ab-4f3b-89d1-d61e47e6a664
                © 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.

                History
                : 31 May 2018
                : 13 May 2019
                Funding
                Funded by: Capital Foundation of Medical Developments
                Award ID: CFMD 2018-2-1051, 2011-2006-07
                Award Recipient :
                Funded by: Capital Research Foundation of Clinical Characteristics
                Award ID: D101100050010017
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Nephrology
                acute kidney injury,acute myocardial infarction,prediction score
                Nephrology
                acute kidney injury, acute myocardial infarction, prediction score

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