Journals / MN Kardiyoloji / 2021 / Cilt: 28 - Sayı: 1

Lipid Profile, Atherogenic Indices, and Their Relationship with SYNTAX Score in Patients with Non-ST-Segment Elevation Myocardial Infarction

ST Segment Yükselmesiz Miyokard Enfarktüsü Geçiren Hastalarda Lipit Profili ve Aterojenik İndekslerin SYNTAX Skoru İle İlişkisi

Pages
38–45
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As an independent predictor, the AIP value could be a useful parameter to predict severe coronary artery disease in pa‐ tients with on‐ST segment elevation myocardial infarction

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: Many previous studies have demonstrated the relationship between lipoprotein‐related indices and the atherogenic process.
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Key Findings & Data:However, their association with the coronary artery disease complexity expressed by the SYNTAX score has not been demonstrated in non‐ST segment elevation myocardial infarction patients.
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Conclusion & Impact:As an independent predictor, the AIP value could be a useful parameter to predict severe coronary artery disease in pa‐ tients with on‐ST segment elevation myocardial infarction
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: Many previous studies have demonstrated the relationship between lipoprotein‐related indices and the atherogenic process. However, their association with the coronary artery disease complexity expressed by the SYNTAX score has not been demonstrated in non‐ST segment elevation myocardial infarction patients. In this study, we aimed to investigate the relationship between atherogenic indices and SYNTAX score in patients with non‐ST segment elevation myocardial infarction and to compare the results with conventional lipid parameters. Material and Method: A total of 451 consecutive non‐ST segment elevation myocardial infarction patients (64±11 years; 72.9% male, n=329) analyzed for the study. Sociodemographic data and the traditional lipid parameters were recorded. Patients were divided into two groups; low SYNTAX score (≤22, n=370) and intermediate or high SYNTAX score (>22, n=81). Results: Logistic regression analyses were used to detect significant and independent predictors. Univariable logistic regression demon‐ strated significant predictors including age, diabetes mellitus, hypertension, left ventricular ejection fraction, C‐reactive protein, high density lipoprotein‐cholesterol, triglyceride, non‐high density lipoprotein‐cholesterol/high density lipoprotein‐cholesterol ratio, low den‐ sity lipoprotein‐cholesterol/high density lipoprotein‐cholesterol ratio, total cholesterol/high density lipoprotein‐cholesterol ratio and atherogenic index of plasma (log[triglyceride/high density lipoprotein‐cholesterol]). After adjustment with significant covariates, only AIP remained independently associated with intermediate or high SYNTAX scoreamong all atherogenic indices (odds ratio=1.471; 95% confidence interval=1.167‐1.854; p=0.001). The best cut‐off value of atherogenic index of plasma for predicting intermediate or high SYNTAX score was 0.44 with a sensitivity of 81.5% and specificity of 40.7%.Conclusion: The results of our article suggest that lipoprotein ratios predict coronary artery complexity better than conventional lipid parameters. As an independent predictor, the AIP value could be a useful parameter to predict severe coronary artery disease in pa‐ tients with on‐ST segment elevation myocardial infarction

Özet

Amaç: Birçok çalışmada lipoproteinle ilişkili indeksler ile aterojenik süreç arasındaki ilişki gösterilmiştir. Ancak lipoprotein indekslerininSYNTAX skoru ile ifade edilen koroner arter hastalığı yaygınlığı ve ciddiyeti ile ilişkisi ST segment yükselmesiz miyokard enfarktüsü has‐talarında henüz ortaya konmamıştır. Bu çalışmada ST segment yükselmesiz miyokard enfarktüsü hastalarında aterojenik indeksler ileSYNTAX skoru arasındaki ilişkiyi araştırmayı ve sonuçları geleneksel lipit parametreleriyle karşılaştırmayı amaçladık.Gereç ve Yöntem: Toplam 451 ardışık ST segment yükselmesiz miyokard enfarktüsü hastası (64±11 yıl; %72,9 erkek, n=329) analiz edil‐di. Sosyodemografik veriler ve geleneksel lipit parametreleri kaydedildi. Hastalar düşük SYNTAX skoru ( ≤22, n=370) ve orta veya yüksekSYNTAX skoru (>22, n=81) olmak üzere iki gruba ayrıldı.Bulgular: İstatiksel anlamlı ve bağımsız prediktörleri saptamak için lojistik regresyon analizleri kullanıldı. Tek değişkenli lojistik regres‐yonda yaş, diabetes mellitus, hipertansiyon, azalmış sol ventrikül ejeksiyon fraksiyonu, C‐reaktif protein, yüksek yoğunluklu lipoproteinkolesterol, trigliserit, non‐yüksek yoğunluklu lipoprotein kolesterol/yüksek yoğunluklu lipoprotein kolesterol oranı, düşük yoğunluklu li‐poprotein kolesterol/yüksek yoğunluklu lipoprotein kolesterol oranı, total kolesterol/yüksek yoğunluklu lipoprotein kolesterol oranı veplazmanın aterojenik indeksi (log[trigliserit/HDL‐K]) parametrelerinin istatiksel anlamlı prediktörler olduğu görüldü. Tek yönlü analizdeanlamlı bulunan tüm aterojenik indeksler arasında sadece plazmanın aterojenik indeksi bağımsız olarak orta veya yüksek SYNTAX sko‐ru ile ilişkili idi (olasılık oranı= 1.471, %95 güven aralığı=1.167‐1.854, p=0.001). Orta veya yüksek SYNTAX skorunu tahmin etmek için op‐timal plazmanın aterojenik indeksinin kesme değeri %81,5 duyarlılık ve %40,7 özgüllük ile 0,44 idi.Sonuç: Bu çalışmamızda lipoprotein oranlarının koroner arter kompleksitesini geleneksel lipit parametrelerinden daha iyi öngördüğünüsaptadık. Bağımsız bir prediktör olarak plazmanın aterojenik indeks değeri, NSTEMI hastalarında orta ve yüksek SYNTAX skorunu tah‐min etmek için kullanılabilecek basit bir belirteçtir.

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Cite This Article

ÇIRAKOĞLU, Ö. F., YILMAZ, A. S. (2021). Lipid Profile, Atherogenic Indices, and Their Relationship with SYNTAX Score in Patients with Non-ST-Segment Elevation Myocardial Infarction. MN Kardiyoloji, Cilt: 28 - Sayı: 1, 38–45. https://ajindex.com/articles/340945

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References (13)

  1. Armstrong PW. Fu Y. Chang WC. et al. Acute coronary syndromes in the GUSTO­IIb trial: prognostic insights and impact of recurrent ischemia. Circulation. 1998;98(18):1 860­8
  2. Mach F. Baigent C. Catapano AL. et al. 2019 ESC/EAS Guide li nes for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020;41(1):111­88
  3. Hsia SH. Pan D. Berookim P. Lee ML. A population­based, cross­sectional comparison of lipid­related indexes for symptoms of atherosclerotic disease. Am J Cardiol. 2006; 98(8):1047­52
  4. Kastelein JJ. van der Steeg WA. Holme I. et al. Lipids, apo li ­ poproteins, and their ratios in relation to cardiovascular events with statin treatment. Circulation. 2008;117 (23):3002­9
  5. Dobiás̆ová M. Frohlich J. The plasma parameter log (TG/ HDL­C) as an atherogenic index: correlation with lipoprotein particle size and esterification rate inapob­lipoprotein­depleted plasma (FERHDL). Clin Biochem. 2001;34: 583­8
  6. Zhu L. Lu Z. Zhu L. et al. Lipoprotein ratios are better than conventional lipid parameters in predicting coronary heart disease in Chinese Han people. Kardiol Pol. 2015;73(10): 931­8
  7. Edwards MK. Blaha MJ. Loprinzi PD. Atherogenic Index of Plasma and Triglyceride/High­Density Lipoprotein Choles ­ terol Ratio Predict Mortality Risk Better Than Individual Cholesterol Risk Factors, Among an Older Adult Popu lati ­ on. Mayo Clin Proc. 2017;92(4):680­1
  8. Palmerini T. Genereux P. Caixeta A. et al. Prognostic value of the SYNTAX score in patients with acute coronary syndromes undergoing percutaneous coronary intervention: analysis from the ACUITY (Acute Catheterization and Ur ­ gent Intervention Triage StrategY) trial. J Am Coll Car diol. 2011;57(24):2389­97
  9. Thygesen K. Alpert JS. Jaffe AS. et al. Third universal defini­ ti on of myocardial infarction. Circulation. 2012;126(16): 2020­35
  10. Yang D. Liu X. Xiang M. The correlation between lipids ratio and degree of coronary artery stenosis. High Blood Pres s Cardiovasc Prev. 2011;18(2):53­6
  11. Faggiano P. Pirillo A. Griffo R. et al. Prevalence and management of familial hypercholesterolemia in patients with coronary artery disease: the heredity survey. Int J Cardiol. 2018;252:193­8
  12. Tsao CW. Preis SR. Peloso GM. et al. Relations of long­term and contemporary lipid levels and lipid genetic risk scores with coronary artery calcium in the Framingham Heart Study. J Am Coll Cardiol. 2012;60(23):2364­71
  13. Cai G. Shi G. Xue S. Lu W. The ath