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Development of a novel score to predict the risk of acute kidney injury in patient with acute myocardial infarction.
J Nephrol. 2017 Jun; 30(3):419-425.JN

Abstract

BACKGROUND

Acute kidney injury (AKI) is common in patients with acute myocardial infarction. AKI in this setting is associated with short- and long-term adverse events. The aim of this study was to develop a simple score to predict AKI in patients presenting with acute myocardial infarction based on data available at time of admission.

METHODS

This was a retrospective analysis of data collected as part of the Acute Coronary Treatment and Intervention Outcomes Network (ACTION) registry at a tertiary care center between 1/1/2011 and 12/31/2013. Data were collected prospectively for all patients who presented within 24 h of the onset of myocardial infarction. AKI was defined as an increase in creatinine from admission level to peak level of ≥0.3 mg/dl or by ≥50 %. Patients with history of end-stage renal disease requiring renal replacement therapy were excluded.

RESULTS

Of 1107 patients included in the study, 147 (13.3 %) developed AKI. The following factors were independently associated with increased risk for AKI: cardiac arrest, decompensated heart failure on presentation, diabetes mellitus, hypertension, anemia, impaired renal function on presentation, and tachycardia on presentation. These factors were combined to form a new predictive tool. The new score showed excellent discrimination for AKI: the area under the receiver operating characteristic curve (AUROC) was 0.76 (95 % confidence interval 0.72-0.80).

CONCLUSION

A simple score using clinical and laboratory data available on admission can predict the risk of AKI in patients presenting with acute myocardial infarction.

Authors+Show Affiliations

Florida Hospital Internal Medicine Residency Program, 2501 N Orange Ave, Suite 235, Orlando, FL, 32804, USA. Khalid.abusaada.md@flhosp.org.Florida Hospital Internal Medicine Residency Program, 2501 N Orange Ave, Suite 235, Orlando, FL, 32804, USA.Florida Hospital Internal Medicine Residency Program, 2501 N Orange Ave, Suite 235, Orlando, FL, 32804, USA.Florida Hospital Internal Medicine Residency Program, 2501 N Orange Ave, Suite 235, Orlando, FL, 32804, USA.Florida Hospital Internal Medicine Residency Program, 2501 N Orange Ave, Suite 235, Orlando, FL, 32804, USA.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27300206

Citation

Abusaada, Khalid, et al. "Development of a Novel Score to Predict the Risk of Acute Kidney Injury in Patient With Acute Myocardial Infarction." Journal of Nephrology, vol. 30, no. 3, 2017, pp. 419-425.
Abusaada K, Yuan C, Sabzwari R, et al. Development of a novel score to predict the risk of acute kidney injury in patient with acute myocardial infarction. J Nephrol. 2017;30(3):419-425.
Abusaada, K., Yuan, C., Sabzwari, R., Butt, K., & Maqsood, A. (2017). Development of a novel score to predict the risk of acute kidney injury in patient with acute myocardial infarction. Journal of Nephrology, 30(3), 419-425. https://doi.org/10.1007/s40620-016-0326-1
Abusaada K, et al. Development of a Novel Score to Predict the Risk of Acute Kidney Injury in Patient With Acute Myocardial Infarction. J Nephrol. 2017;30(3):419-425. PubMed PMID: 27300206.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Development of a novel score to predict the risk of acute kidney injury in patient with acute myocardial infarction. AU - Abusaada,Khalid, AU - Yuan,Cai, AU - Sabzwari,Rafay, AU - Butt,Khurram, AU - Maqsood,Aadil, Y1 - 2016/06/14/ PY - 2016/03/31/received PY - 2016/06/08/accepted PY - 2016/6/15/pubmed PY - 2018/3/13/medline PY - 2016/6/15/entrez KW - Acute coronary syndrome KW - Acute kidney injury KW - Acute myocardial infarction KW - Incidence SP - 419 EP - 425 JF - Journal of nephrology JO - J. Nephrol. VL - 30 IS - 3 N2 - BACKGROUND: Acute kidney injury (AKI) is common in patients with acute myocardial infarction. AKI in this setting is associated with short- and long-term adverse events. The aim of this study was to develop a simple score to predict AKI in patients presenting with acute myocardial infarction based on data available at time of admission. METHODS: This was a retrospective analysis of data collected as part of the Acute Coronary Treatment and Intervention Outcomes Network (ACTION) registry at a tertiary care center between 1/1/2011 and 12/31/2013. Data were collected prospectively for all patients who presented within 24 h of the onset of myocardial infarction. AKI was defined as an increase in creatinine from admission level to peak level of ≥0.3 mg/dl or by ≥50 %. Patients with history of end-stage renal disease requiring renal replacement therapy were excluded. RESULTS: Of 1107 patients included in the study, 147 (13.3 %) developed AKI. The following factors were independently associated with increased risk for AKI: cardiac arrest, decompensated heart failure on presentation, diabetes mellitus, hypertension, anemia, impaired renal function on presentation, and tachycardia on presentation. These factors were combined to form a new predictive tool. The new score showed excellent discrimination for AKI: the area under the receiver operating characteristic curve (AUROC) was 0.76 (95 % confidence interval 0.72-0.80). CONCLUSION: A simple score using clinical and laboratory data available on admission can predict the risk of AKI in patients presenting with acute myocardial infarction. SN - 1724-6059 UR - https://www.unboundmedicine.com/medline/citation/27300206/Development_of_a_novel_score_to_predict_the_risk_of_acute_kidney_injury_in_patient_with_acute_myocardial_infarction_ L2 - https://dx.doi.org/10.1007/s40620-016-0326-1 DB - PRIME DP - Unbound Medicine ER -