CHA2DS2-VASc Score, Fibrinogen, and Neutrophil to Lymphocyte Ratio as Predictors of In-Stent Restenosis in Patients with Severe Kidney Disease
DOI:
https://doi.org/10.59958/hsf.7065Keywords:
CHA2DS2-VASc score, fibrinogen, NLR, ISR, severe kidney diseaseAbstract
Objective: This study examined the relationship between CHA2DS2-VASc score, fibrinogen (FIB), and neutrophil-to-lymphocyte ratio (NLR) with in-stent restenosis (ISR) in patients with severe kidney disease (SKD). Methods: Between January 2017 and January 2022, patients with SKD who underwent coronary stent implantation at the Second Hospital of Tianjin Medical University were retrospectively analyzed. According to whether ISR occurred within 2 years of postoperative follow-up, 164 patients were categorized into the ISR group (n = 62) and the non-ISR group (n = 102). According to the Modification of Diet in Renal Disease (MDRD) formula, SKD is defined as an estimated glomerular filtration rate (eGFR) less than 30 mL/(min·1.73 m2). Angiographic ISR was defined as a stented coronary artery segment with more than 50% constriction during the follow-up angiography. Relevant clinical data and laboratory parameters were obtained from the hospital's medical records. Results: In total, 164 patients were included (mean age: 67.1 [10.2] years, 65.2% men), grouped into 62 patients with ISR and 102 patients without. A significant difference was found in the age, previous strokes, congestive heart failure (CHF), NLR, platelet-to-lymphocyte ratio (PLR), fibrinogen, CHA2DS2-VASc score, and risk classification of CHA2DS2-VASc score of patients in the ISR group as compared to those in the non-ISR group. In a multivariable logistic regression analysis, the CHA2DS2-VASc score, fibrinogen, and NLR were identified as independent predictors of ISR. The analysis of the receiver operating characteristic (ROC) curve revealed that the area under the curve (AUC) value was 0.714 (95% confidence interval (CI): 0.634–0.793) for the CHA2DS2-VASc score and 0.652 (95% CI: 0.565–0.739) for FIB, 0.707 (95% CI: 0.627–0.788) for NLR, and 0.797 (95% CI: 0.725–0.868) for the combination of CHA2DS2-VASc score, FIB and NLR. Conclusions: The combination of CHA2DS2-VASc score, FIB, and NLR can more accurately predict the occurrence of ISR in SKD patients.
References
Dangas GD, Claessen BE, Caixeta A, Sanidas EA, Mintz GS, Mehran R. In-stent restenosis in the drug-eluting stent era. Journal of the American College of Cardiology. 2010; 56: 1897–1907.
Kurtul A. Usefulness of the CHA2DS2-VASc Score in Predicting In-Stent Restenosis Among Patients Undergoing Revascularization With Bare-Metal Stents. Clinical and Applied Thrombosis/Hemostasis: Official Journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. 2018; 24: 589–595.
Nakazawa G, Tanabe K, Aoki J, Yamamoto H, Higashikuni Y, Onuma Y, et al. Impact of renal insufficiency on clinical and angiographic outcomes following percutaneous coronary intervention with sirolimus-eluting stents. Catheterization and Cardiovascular Interventions: Official Journal of the Society for Cardiac Angiography & Interventions. 2007; 69: 808–814.
Camm AJ, Lip GYH, De Caterina R, Savelieva I, Atar D, Hohnloser SH, et al. 2012 focused update of the ESC Guidelines for the management of atrial fibrillation: an update of the 2010 ESC Guidelines for the management of atrial fibrillation. Developed with the special contribution of the European Heart Rhythm Association. European Heart Journal. 2012; 33: 2719–2747.
Zhao J, Hou L, Zhu N, Huang R, Su K, Lei Y, et al. The Predictive Value of the CHA2DS2-VASc Score for In-Stent Restenosis Among Patients with Drug-Eluting Stents Implantation. International Journal of General Medicine. 2023; 16: 69–76.
Rachoin JS, Wolfe Y, Patel S, Cerceo E. Contrast associated nephropathy after intravenous administration: what is the magnitude of the problem? Renal Failure. 2021; 43: 1311–1321.
Yilmaz S, Akboga MK, Aras D, Topaloglu S. Evaluation of the Predictive Value of CHA2DS2-VASc Score for In-Stent Restenosis. Angiology. 2018; 69: 38–42.
Yu H, Dai J, Fang C, Jiang S, Mintz GS, Yu B. Prevalence, Morphology, and Predictors of Intra-Stent Plaque Rupture in Patients with Acute Coronary Syndrome: An Optical Coherence Tomography Study. Clinical and Applied Thrombosis/Hemostasis: Official Journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. 2022; 28: 10760296221146742.
Okura H, Takagi T, Yoshida K. Therapies targeting inflammation after stent implantation. Current Vascular Pharmacology. 2013; 11: 399–406.
Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976; 16: 31–41.
Okura H, Takagi T, Yoshida K. Therapies targeting inflammation after stent implantation. Current Vascular Pharmacology. 2013; 11: 399–406.
Alfonso F, Byrne RA, Rivero F, Kastrati A. Current treatment of in-stent restenosis. Journal of the American College of Cardiology. 2014; 63: 2659–2673.
Stevens PE, O'Donoghue DJ, de Lusignan S, Van Vlymen J, Klebe B, Middleton R, et al. Chronic kidney disease management in the United Kingdom: NEOERICA project results. Kidney International. 2007; 72: 92–99.
London GM, Guérin AP, Marchais SJ, Métivier F, Pannier B, Adda H. Arterial media calcification in end-stage renal disease: impact on all-cause and cardiovascular mortality. Nephrology, Dialysis, Transplantation: Official Publication of the European Dialysis and Transplant Association - European Renal Association. 2003; 18: 1731–1740.
Bundy JD, Chen J, Yang W, Budoff M, Go AS, Grunwald JE, et al. Risk factors for progression of coronary artery calcification in patients with chronic kidney disease: The CRIC study. Atherosclerosis. 2018; 271: 53–60.
Guérin AP, London GM, Marchais SJ, Metivier F. Arterial stiffening and vascular calcifications in end-stage renal disease. Nephrology, Dialysis, Transplantation: Official Publication of the European Dialysis and Transplant Association - European Renal Association. 2000; 15: 1014–1021.
Little WC. Heart failure with a normal left ventricular ejection fraction: diastolic heart failure. Transactions of the American Clinical and Climatological Association. 2008; 119: 93–99; discussion 99–102.
Sarnak MJ, Amann K, Bangalore S, Cavalcante JL, Charytan DM, Craig JC, et al. Chronic Kidney Disease and Coronary Artery Disease: JACC State-of-the-Art Review. Journal of the American College of Cardiology. 2019; 74: 1823–1838.
Ellis CL, O'Neill WC. Questionable specificity of histologic findings in calcific uremic arteriolopathy. Kidney International. 2018; 94: 390–395.
Shaker JL, Deftos L, Feingold KR, Anawalt B, Boyce A, Chrousos G, et al. Calcium and Phosphate Homeostasis. Endotext: South Dartmouth (MA). 2018.
Floege J. Magnesium in CKD: more than a calcification inhibitor? Journal of Nephrology. 2015; 28: 269–277.
Dhondup T, Qian Q. Electrolyte and Acid-Base Disorders in Chronic Kidney Disease and End-Stage Kidney Failure. Blood Purification. 2017; 43: 179–188.
Sakaguchi Y, Hamano T, Obi Y, Monden C, Oka T, Yamaguchi S, et al. A Randomized Trial of Magnesium Oxide and Oral Carbon Adsorbent for Coronary Artery Calcification in Predialysis CKD. Journal of the American Society of Nephrology: JASN. 2019; 30: 1073–1085.
Zoccali C, Vanholder R, Massy ZA, Ortiz A, Sarafidis P, Dekker FW, et al. The systemic nature of CKD. Nature Reviews. Nephrology. 2017; 13: 344–358.
Amdur RL, Feldman HI, Dominic EA, Anderson AH, Beddhu S, Rahman M, et al. Use of Measures of Inflammation and Kidney Function for Prediction of Atherosclerotic Vascular Disease Events and Death in Patients With CKD: Findings From the CRIC Study. American Journal of Kidney Diseases: the Official Journal of the National Kidney Foundation. 2019; 73: 344–353.
Campean V, Neureiter D, Varga I, Runk F, Reiman A, Garlichs C, et al. Atherosclerosis and vascular calcification in chronic renal failure. Kidney & Blood Pressure Research. 2005; 28: 280–289.