Abstract
Red cell distribution width (RDW) serves as an independent predictor towards the prognosis of coronary artery disease (CAD) in patients undergoing percutaneous coronary intervention (PCI). A systematic search of databases such as PubMed, Embase, Web of Science, and Cochrane library was performed on October 10th, 2019, to elaborate the relationship between RDW and in hospital and long term follow up, all-cause and cardiovascular mortality, major adverse cardiac events (MACE) and development of contrast-induced nephropathy (CIN) in patients with CAD undergoing PCI. Twenty-one studies qualified this strict selection criterion (number of patients = 56,425): one study was prospective, and the rest were retrospective cohorts. Our analysis showed that patients undergoing PCI with high RDW had a significantly higher risk of in-hospital all-cause mortality (OR 2.41), long-term all-cause mortality (OR 2.44), cardiac mortality (OR 2.65), MACE (OR: 2.16), and odds of developing CIN (OR: 1.42) when compared to the patients with low RDW. Therefore, incorporating RDW in the predictive models for the development of CIN, MACE, and mortality can help in triage to improve the outcomes in coronary artery disease patients who undergo PCI.
Keywords: Percutaneous coronary artery disease, coronary artery disease, contrast-induced nephropathy, cardiovascular mortality, major adverse cardiac events, long-term all-cause mortality.
Graphical Abstract
Current Cardiology Reviews
Title:Prognostic Impact of Red Cell Distribution Width on the Development of Contrast-Induced Nephropathy, Major Adverse Cardiac Events, and Mortality in Coronary Artery Disease Patients Undergoing Percutaneous Coronary Intervention
Volume: 17 Issue: 6
Author(s): Azka Latif*, Muhammad Junaid Ahsan, Noman Lateef, Vikas Kapoor, Hafiz Muhammad Fazeel, Faryal Razzaq, Ahmad Iftikhar, Muhammad Zubair Ashfaq, Faiz Anwer, Mohsin Mirza and Amjad Kabach
Affiliation:
- Department of Internal Medicine, Creighton University Medical Center, Omaha, Nebraska 7500, USA
Keywords: Percutaneous coronary artery disease, coronary artery disease, contrast-induced nephropathy, cardiovascular mortality, major adverse cardiac events, long-term all-cause mortality.
Abstract: Red cell distribution width (RDW) serves as an independent predictor towards the prognosis of coronary artery disease (CAD) in patients undergoing percutaneous coronary intervention (PCI). A systematic search of databases such as PubMed, Embase, Web of Science, and Cochrane library was performed on October 10th, 2019, to elaborate the relationship between RDW and in hospital and long term follow up, all-cause and cardiovascular mortality, major adverse cardiac events (MACE) and development of contrast-induced nephropathy (CIN) in patients with CAD undergoing PCI. Twenty-one studies qualified this strict selection criterion (number of patients = 56,425): one study was prospective, and the rest were retrospective cohorts. Our analysis showed that patients undergoing PCI with high RDW had a significantly higher risk of in-hospital all-cause mortality (OR 2.41), long-term all-cause mortality (OR 2.44), cardiac mortality (OR 2.65), MACE (OR: 2.16), and odds of developing CIN (OR: 1.42) when compared to the patients with low RDW. Therefore, incorporating RDW in the predictive models for the development of CIN, MACE, and mortality can help in triage to improve the outcomes in coronary artery disease patients who undergo PCI.
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Cite this article as:
Latif Azka *, Ahsan Junaid Muhammad , Lateef Noman , Kapoor Vikas, Fazeel Muhammad Hafiz , Razzaq Faryal , Iftikhar Ahmad, Ashfaq Zubair Muhammad , Anwer Faiz , Mirza Mohsin and Kabach Amjad , Prognostic Impact of Red Cell Distribution Width on the Development of Contrast-Induced Nephropathy, Major Adverse Cardiac Events, and Mortality in Coronary Artery Disease Patients Undergoing Percutaneous Coronary Intervention, Current Cardiology Reviews 2021; 17 (6) : e051121191160 . https://dx.doi.org/10.2174/1573403X17666210204154812
DOI https://dx.doi.org/10.2174/1573403X17666210204154812 |
Print ISSN 1573-403X |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6557 |

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