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The prognostic value of kidney failure based on glomerular filtration rate in predicting long in-hospital outcomes in patients with unstable angina | ||
| Cardiovascular Biomedicine | ||
| Volume 2, Issue 2, December 2022, Pages 36-42 PDF (508.93 K) | ||
| Document Type: original articles | ||
| DOI: 10.18502/cbj.v2i2.12161 | ||
| Authors | ||
| Venus Shahabi Raberi1; Razieh Parizad2; Reza Faramarz Zadeh* 1 | ||
| 1Seyed-Al-Shohada Cardiology Hospital, Urmia University of Medical Sciences, Urmia, Iran | ||
| 2Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran | ||
| Abstract | ||
| Objectives: Numerous recent studies have emphasized the role of kidney failure in developing ischemic heart disease (IHD) and the resulting adverse consequences. The purpose of the present study was to quantitatively assess the effect of kidney failure based on glomerular filtration rate (GFR) in predicting clinical outcomes in patients with unstable angina (U/A). Methods: This retrospective cohort study included 129 patients with unstable angina with preserved left ventricular function. Serum creatinine levels were specified at the beginning of their admission. The GFR at admission time was determined based on the MDRD index. Based on the GFR value, patients were classified into two groups, i.e., normal GFR (>60) and decreased GFR (<60). Results: The frequency of one-month mortality in <60 GFR and >60 GFR was 3.2% and 0.0%, respectively. Furthermore, the prevalence of 6-month mortality in <60 GFR and >60 GFR was 8.1% and 0.0%, respectively. The frequency of readmission in <60 GFR and >60 GFR was 29% and 11%, respectively. Likewise, the frequency of revascularization through coronary artery bypass graft (CABG) or percutaneous coronary intervention (PCI) in <60 GFR and >60 GFR was 25.8% and 8.9%, respectively. According to the multivariate logistic regression model, <60 GFR increased the risk of 6-month mortality up to 0.2 times (probability ratio of 2.081, P-value of 0.023). Regarding readmission, <60 GFR increased the need for readmission up to 2.4 times (probability ratio of 2.433, P-value of 0.049). On the other hand, the risk of CABG or PCI recurrence following initial intervention was 2.8 times higher in patients with <60 GFR than in the >60 GFR group (probability ratio 2.882, p-value .03. Conclusions: The study revealed that <60 GFR compared to higher values of GFR is associated with an increased risk of 6-month mortality, increased readmission, and increased revascularization in patients with unstable angina. | ||
| Keywords | ||
| Kidney Failure; Glomerular Filtration Rate; Unstable Angina | ||
| References | ||
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1.M C Foster, D E Weiner, A G Bostom, et al. Filtration markers, cardiovascular disease, mortality, and kidney outcomes in stable kidney transplant recipients: the FAVORIT trial. Am J Transplant. 2017;17(9):2390-2399.
2.Levey AS, Coresh J, Tighiouart H, et al. Measured and estimated glomerular filtration rate: current status and future directions. Nat Rev Nephrol.2020;16(1):51-64.
3.Ying T, Gill J, Webster A, et al. Canadian-australasian randomised trial of screening kidney transplant candidates for coronary artery disease—a trial protocol for the CARSK study. Am Heart J. 2019;214:175-183.
4.Sarnak MJ, Amann K, Bangalore S, et al. Chronic kidney disease and coronary artery disease: JACC state-of-the-art review. J Am Coll Cardiol. 2019;74(14):1823-1838.
5.Chen J, Budoff MJ, Reilly MP, et al. Coronary artery calcification and risk of cardiovascular disease and death among patients with chronic kidney disease. JAMA Cardiol. 2017;2(6):635-643.
6.Al‐Naher A, Wright D, Devonald MAJ, et al. Renal function monitoring in heart failure–what is the optimal frequency? A narrative review. Br J Clin Pharmacol. 2018;84(1):5-17.
7.Jenkins R, Mandarano L, Gugathas S, et al. Impaired renal function affects clinical outcomes and management of patients with heart failure. ESC Heart Fail. 2017;4(4):576-584.
8.Shlipak MG, Heidenreich PA, Noguchi H, et al. Association of renal insufficiency with treatment and outcomes after myocardial infarction in elderly patients. Ann Intern Med. 2002;137(7):555-62.
9.Thakar CV, Christianson A, Freyberg R, et al. Incidence and outcomes of acute kidney injury in intensive care units: a Veterans Administration study. Crit Care Med. 2009;37(9):2552-8.
10.Mullens W, Damman K, Testani JM, et al. Evaluation of kidney function throughout the heart failure trajectory–a position statement from the heart failure association of the european society of cardiology. Eur J Heart Fail. 2020;22(4):584-603.
11.Karki P, Agrawaal K, Lamsal M, et al. Predicting outcomes in acute coronary syndrome using biochemical markers. Indian Heart J. 2015;67(6):529-37.
12.Lin T-H, Hsin H-T, Wang C-L, et al. Impact of impaired glomerular filtration rate and revascularization strategy on one-year cardiovascular events in acute coronary syndrome: data from Taiwan acute coronary syndrome full spectrum registry. BMC Nephrol. 2014;15(1):1-9.
13.El-Menyar A, Zubaid M, Sulaiman K, et al. In-hospital major clinical outcomes in patients with chronic renal insufficiency presenting with acute coronary syndrome: data from a registry of 8176 patients. Mayo Clin Proc.2010 ;85(4):332-40.
14.Al Suwaidi J, Reddan D, Williams K, et al. Prognostic implications of abnormalities in renal function in patients with acute coronary syndromes. Circulation. 2002;106(8):974-80.
15.Nabais S, Rocha S, Costa J, et al. Prognostic impact of moderate renal dysfunction in acute coronary syndromes. Rev Port Cardiol.2008 ;27(3):303-12.
16.Sooklim K, Srimahachota S, Boonyaratavej S, et al. Renal dysfunction as an independent predictor of total mortality after acute coronary syndrome: the Thai ACS Registry. J Med Assoc Thai. 2007;90(1):32-40.
17.Anavekar NS, McMurray JJ, Velazquez EJ, et al. Relation between renal dysfunction and cardiovascular outcomes after myocardial infarction. N Engl J Med. 2004;351(13):1285-95. | ||
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