Literature DB >> 28412022

Acute kidney injury is associated with microvascular myocardial damage following myocardial infarction.

Sebastian Johannes Reinstadler1, Andreas Kronbichler2, Martin Reindl1, Hans-Josef Feistritzer1, Veronika Innerhofer1, Agnes Mayr3, Gert Klug1, Martin Tiefenthaler2, Gert Mayer2, Bernhard Metzler4.   

Abstract

Acute kidney injury (AKI) is a frequent complication in patients with ST-elevation myocardial infarction (STEMI) treated by primary percutaneous coronary intervention. However, the pathophysiology of AKI in this setting is complex and goes beyond the administration of contrast media. Studies assessing the impact of infarct characteristics on AKI are currently lacking. Therefore, we investigated the association of AKI with myocardial as well as microvascular injury in an initial total of 361 consecutive STEMI patients treated by primary percutaneous coronary intervention. Of these, 318 patients were included in final analysis. Serum creatinine was measured on admission as well as 24, 48, and 72 hours thereafter with AKI defined as an increase in serum creatinine of 0.3 mg/dl or more. Cardiac magnetic resonance (CMR) scans were performed in the first week after infarction, with microvascular injury visualized by late gadolinium enhancement CMR defined as any region of hypoenhancement within the hyperenhanced area of infarction. Sixteen patients developed AKI. They showed significantly lower left ventricular ejection fraction (45[interquartile range 40-52]% vs. 54[47-59]%), larger infarct size (21[15-35]% vs. 12[7-22]%) of left ventricular myocardial mass, and more frequent microvascular injury (81 vs. 46%) than those free of AKI. Meaningfully, in multivariate analysis including all CMR data, microvascular injury was the sole independent predictor of AKI (odds ratio 6.74, 95% confidence interval of 1.49-30.43). Thus, among revascularized STEMI patients, the presence of microvascular injury assessed by CMR was independently associated with an increased risk of AKI. This suggests a potential pathophysiological link between cardiac microvascular disease and renal injury following STEMI.
Copyright © 2017 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ST-elevation myocardial infarction; acute kidney injury; magnetic resonance imaging; microvascular injury

Mesh:

Substances:

Year:  2017        PMID: 28412022     DOI: 10.1016/j.kint.2017.02.016

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  5 in total

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Authors:  Rafael Y Brzezinski; Ariel Melloul; Shlomo Berliner; Ilana Goldiner; Moshe Stark; Ori Rogowski; Shmuel Banai; Shani Shenhar-Tsarfaty; Yacov Shacham
Journal:  J Clin Med       Date:  2022-04-27       Impact factor: 4.964

2.  Sometimes neither water nor fire are more useful than friendship-a new risk score for prediction of contrast-induced nephropathy (CIN) and long-term adverse outcomes in patients undergoing coronary angiography.

Authors:  Ovidio De Filippo; Fabrizio D'Ascenzo; Francesco Piroli; Carlo Budano; Gaetano Maria De Ferrari
Journal:  J Thorac Dis       Date:  2019-07       Impact factor: 2.895

3.  Aortic Stiffness and Infarct Healing in Survivors of Acute ST-Segment-Elevation Myocardial Infarction.

Authors:  Martin Reindl; Christina Tiller; Magdalena Holzknecht; Ivan Lechner; Nicolas Hein; Mathias Pamminger; Benjamin Henninger; Agnes Mayr; Hans-Josef Feistritzer; Gert Klug; Axel Bauer; Bernhard Metzler; Sebastian J Reinstadler
Journal:  J Am Heart Assoc       Date:  2020-01-31       Impact factor: 5.501

4.  Acute Kidney Injury Recovery Patterns in ST-Segment Elevation Myocardial Infarction Patients.

Authors:  Tamar Itach; Ariel Banai; Yael Paran; David Zahler; Ilan Merdler; David Eliashiv; Shmuel Banai; Yacov Shacham
Journal:  J Clin Med       Date:  2022-04-13       Impact factor: 4.241

5.  Ultrasonic Image Features under the Intelligent Algorithm in the Diagnosis of Severe Sepsis Complicated with Renal Injury.

Authors:  Leiming Xu; Xin Wang; Pu Pu; Suhui Li; Yongzheng Shao; Yong Li
Journal:  Comput Math Methods Med       Date:  2022-08-11       Impact factor: 2.809

  5 in total

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