Fraksiyonel Akım Rezervi Kullanılarak Saptanan Koroner Lezyon Ciddiyeti ile Sistemik İmmün Enflamasyon İndeksi ve Aterojenik Plazma İndeksi Arasındaki Korelasyon
PDF
Atıf
Paylaş
Talep
P: 247-255
Eylül 2022

Fraksiyonel Akım Rezervi Kullanılarak Saptanan Koroner Lezyon Ciddiyeti ile Sistemik İmmün Enflamasyon İndeksi ve Aterojenik Plazma İndeksi Arasındaki Korelasyon

Bagcilar Med Bull 2022;7(3):247-255
Bilgi mevcut değil.
Bilgi mevcut değil
Alındığı Tarih: 28.04.2022
Kabul Tarihi: 15.08.2022
Yayın Tarihi: 22.09.2022
PDF
Atıf
Paylaş
Talep

ÖZET

Amaç:

Sistemik immün enflamasyon indeksi (SII) ve aterojenik plazma indeksi (AIP) son yıllarda tanımlanmış, ateroskleroz ve enflamasyon sürecinde önemli rol alan indekslerdir. Bu çalışmamızda koroner anjiyografide fraksiyonel akış rezervi (FFR) uygulanan hastalarda, tespit edilen aterosklerotik lezyon ciddiyeti ile AIP ve SII arasındaki ilişkiyi araştırmayı amaçladık.

Yöntem:

Bu çalışma kapsamında, koroner anjiyografide elektif FFR işlemi uygulanan 119 hasta retrospektif olarak incelendi. FFR lezyon ciddiyetine göre; FFR <0,8 grup (77 hasta), FFR >0,8 grup (42 hasta) şeklinde iki grup oluşturuldu. İki grup arasında SII, AIP, demografik veriler ve diğer parametreler karşılaştırıldı.

Bulgular:

FFR uygulanan gruplarda yüksek yoğunluklu lipoprotein (p=0,001), platelet (p=0,007), ortalama trombosit hacmi (MPV) (p=0,016), monosit (p<0,001), lenfosit (p<0,001), SII (p<0,001), AIP (p=0,009) ve HbA1c (p<0,001) açısından iki grup arasında istatistiksel olarak anlamlı derecede farklılık saptandı. Yapılan tek değişkenli regresyon analizinde HbA1c [olasılık oranı (OO): 10; %95 güven aralığı (GA): 3,2-3,5, p<0,001], monosit (OO: 273,8; %95 GA: 24,8-3015,3, p<0,001), MPV (OO: 0,6; %95 GA: 0,39-0,91, p=0,02), SII (OO: 1,06; %95 GA: 1,03-1,09, p<0,001) ve AIP’nin (OO: 3,7; %95 GA: 1,6-10, p=0,01) birer prediktör olduğu saptandı. Yapılan çok değişkenli regresyon analizinde ise HbA1c (OO: 9,41; %95 GA: 1,89-46,73, p=0,006), monosit (OO: 108,2; %95 GA: 6,8-1726,2, p=0,001) ve SII (OO: 1,005; %95 GA: 1,002-1,008, p=0,004) parametrelerinin bağımsız birer prediktör olduğu saptandı. Uygulanan ROC analizi ile SII %75 sensitivite %72 spesifite ile [eğrinin altındaki alan (AUC): 0,79; %95 GA: 0,72-0,87, p<0,001], AIP %62 sensitivite %60 spesifite ile (AUC: 0,64; %95 GA: 0,54-0,75, p=0,008) FFR lezyon ciddiyetini öngörmekteydi.

Sonuç:

Bu çalışmamızda özellikle AIP ve SII gibi basit, hızlı ve düşük maliyetli yöntemlerin, FFR’de saptanan lezyon ciddiyeti ile ilişkili parametreler olabileceğine vurgu yapmak istiyoruz. Bu parametreler kolay ulaşılabilir, tekrarlanabilir ve yaygın olarak kullanılabilmektedirler.

References

1
Finegold JA, Asaria P, Francis DP. Mortality from ischaemic heart disease by country, region, and age: statistics from World Health Organisation and United Nations. Int J Cardiol 2013;168(2):934-945.
2
Tobis J, Azarbal B, Slavin L. Assessment of intermediate severity coronary lesions in the catheterization laboratory. J Am Coll Cardiol 2007;49(8):839-848.
3
Ahmadi A, Leipsic J, Blankstein R, Taylor C, Hecht H, Stone GW, et al. Do plaques rapidly progress prior to myocardial infarction? The interplay between plaque vulnerability and progression. Circ Res 2015;117(1):99-104.
4
Lawler PR, Kotrri G, Koh M, Goodman SG, Farkouh ME, Lee DS, et al. Real-world risk of cardiovascular outcomes associated with hypertriglyceridaemia among individuals with atherosclerotic cardiovascular disease and potential eligibility for emerging therapies. Eur Heart J 2020;41(1):86-94.
5
Guérin M, Le Goff W, Lassel TS, Van Tol A, Steiner G, Chapman MJ. Atherogenic role of elevated CE transfer from HDL to VLDL(1) and dense LDL in type 2 diabetes: impact of the degree of triglyceridemia. Arterioscler Thromb Vasc Biol 2001;21(2):282-288.
6
Quispe R, Manalac RJ, Faridi KF, Blaha MJ, Toth PP, Kulkarni KR, et al. Relationship of the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio to the remainder of the lipid profile: The Very Large Database of Lipids-4 (VLDL-4) study. Atherosclerosis 2015;242(1):243-250.
7
Won KB, Heo R, Park HB, Lee BK, Lin FY, Hadamitzky M, et al. Atherogenic index of plasma and the risk of rapid progression of coronary atherosclerosis beyond traditional risk factors. Atherosclerosis 2021;324:46-51.
8
Afari ME, Bhat T. Neutrophil to lymphocyte ratio (NLR) and cardiovascular diseases: an update. Expert Rev Cardiovasc Ther 2016;14(5):573-577.
9
Sari I, Sunbul M, Mammadov C, Durmus E, Bozbay M, Kivrak T, et al. Relation of neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio with coronary artery disease severity in patients undergoing coronary angiography. Kardiol Pol 2015;73(12):1310-1316.
10
Akyel A, Yayla Ç, Erat M, Çimen T, Doğan M, Açıkel S, et al. Neutrophil-to-lymphocyte ratio predicts hemodynamic significance of coronary artery stenosis. Anatol J Cardiol 2015;15(12):1002-1007.
11
Huang L, Liu S, Lei Y, Wang K, Xu M, Chen Y, et al. Systemic immune-inflammation index, thymidine phosphorylase and survival of localized gastric cancer patients after curative resection. Oncotarget 2016;7(28):44185-44193.
12
Erdoğan M, Erdöl MA, Öztürk S, Durmaz T. Systemic immune-inflammation index is a novel marker to predict functionally significant coronary artery stenosis. Biomark Med 2020;14(16):1553-1561.
13
Dobiásová M, Frohlich J. The plasma parameter log (TG/HDL-C) as an atherogenic index: correlation with lipoprotein particle size and esterification rate in apoB-lipoprotein-depleted plasma (FER (HDL). Clin Biochem 2001;34(7):583-588.
14
Hu B, Yang XR, Xu Y, Sun YF, Sun C, Guo W, et al. Systemic immune-inflammation index predicts prognosis of patients after curative resection for hepatocellular carcinoma. Clin Cancer Res 2014;20(23):6212-6222.
15
Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C, et al. ESC Scientific Document Group. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J 2020;41(3):407-477.
16
Shaw LJ, Heller GV, Casperson P, Miranda-Peats R, Slomka P, Friedman J, et al. COURAGE investigators. Gated myocardial perfusion single photon emission computed tomography in the clinical outcomes utilizing revascularization and aggressive drug evaluation (COURAGE) trial, Veterans Administration Cooperative study no. 424. J Nucl Cardiol 2006;13(5):685-698.
17
Pant S, Deshmukh A, Gurumurthy GS, Pothineni NV, Watts TE, Romeo F, et al. Inflammation and atherosclerosis--revisited. J Cardiovasc Pharmacol Ther 2014;19(2):170-178.
18
Balta S, Celik T, Mikhailidis DP, Ozturk C, Demirkol S, Aparci M, et al. The Relation Between Atherosclerosis and the Neutrophil-Lymphocyte Ratio. Clin Appl Thromb Hemost 2016;22(5):405-411.
19
Ommen SR, Gibbons RJ, Hodge DO, Thomson SP. Usefulness of the lymphocyte concentration as a prognostic marker in coronary artery disease. Am J Cardiol 1997;79(6):812-814.
20
Núñez J, Miñana G, Bodí V, Núñez E, Sanchis J, Husser O, et al. Low lymphocyte count and cardiovascular diseases. Curr Med Chem 2011;18(21):3226-3233.
21
Gawaz M, Langer H, May AE. Platelets in inflammation and atherogenesis. J Clin Invest 2005;115(12):3378-3384.
22
Karahan S, Katkat F, Varol S, Yıldırım MR, İnce O, Şahin İ, et al. The Role of MPV-to-Lymphocyte Ratio and MPV-to-Platelet Ratio in Predicting Mortality in Patients with Acute Myocardial Infarction. Bagcilar Med Bull 2022;7(1):32-37.
23
Huang J, Zhang Q, Wang R, Ji H, Chen Y, Quan X, et al. Systemic Immune-Inflammatory Index Predicts Clinical Outcomes for Elderly Patients with Acute Myocardial Infarction Receiving Percutaneous Coronary Intervention. Med Sci Monit 2019;25:9690-9701.
24
Yang YL, Wu CH, Hsu PF, Chen SC, Huang SS, Chan WL, et al. Systemic immune-inflammation index (SII) predicted clinical outcome in patients with coronary artery disease. Eur J Clin Invest 2020;50(5):e13230.
25
Stein R, Ferrari F, Scolari F. Genetics, Dyslipidemia, and Cardiovascular Disease: New Insights. Curr Cardiol Rep 2019;21(8):68.
26
Karaçöp E, Enhoş A. Predictive Role of Monocyte to High-density Lipoprotein Ratio for Plaque Morphology in Asymptomatic Intermediate Carotid Stenosis. Bagcilar Med Bull 2020;5(3):75-82.
27
Wu TT, Gao Y, Zheng YY, Ma YT, Xie X. Atherogenic index of plasma (AIP): a novel predictive indicator for the coronary artery disease in postmenopausal women. Lipids Health Dis 2018;17(1):197.
28
Cure E, Cumhur Cure M. Comment on "The relationship between atherogenic index of plasma and no‑reflow in patients with acute ST‑segment elevation myocardial infarction who underwent primary percutaneous coronary intervention". Int J Cardiovasc Imaging 2020;36(5):797-798.
29
Guo Q, Zhou S, Feng X, Yang J, Qiao J, Zhao Y, et al. The sensibility of the new blood lipid indicator--atherogenic index of plasma (AIP) in menopausal women with coronary artery disease. Lipids Health Dis 2020;19(1):27.
30
Onat A, Can G, Kaya H, Hergenç G. "Atherogenic index of plasma" (log10 triglyceride/high-density lipoprotein-cholesterol) predicts high blood pressure, diabetes, and vascular events. J Clin Lipidol 2010;4(2):89-98.
31
Si Y, Fan W, Han C, Liu J, Sun L. Atherogenic Index of Plasma, Triglyceride-Glucose Index and Monocyte-to-Lymphocyte Ratio for Predicting Subclinical Coronary Artery Disease. Am J Med Sci 2021;362(3):285-290.
32
Guzel T, Bilik MZ, Arslan B, Kilic R, Aktan A. The effect of atherogenic plasma index on collateral development in patients with chronic coronary total occlusion. Experimental Biomedical Research 2021;4(4):291-301.
33
Kis M, Guzel T. Relationship between Hemoglobin A1c and Fractional Flow Reserve Lesion Severity in Non-diabetic Patients. J Coll Physicians Surg Paki 2022;32(1):4-8.
2024 ©️ Galenos Publishing House