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      Predictive Value of Systemic Immune Inflammation Index for Postoperative Atrial Fibrillation in Patients Undergoing Isolated Coronary Artery Bypass Grafting Translated title: İzole Koroner Arter Bypass Greft Uygulanan Hastalarda Postoperatif Atriyal Fibrilasyon için Sistemik İmmün Enflamasyon İndeksinin Öngörücü Değeri

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          Abstract

          Objective:

          Inflammation plays an important role in the initiation of postoperative atrial fibrillation (PoAF) in individuals undergoing cardiac surgery, Thus, this study aimed to investigate the predictive value of the systemic immune inflammation index (SII) to develop PoAF in such patients.

          Methods:

          In total, 391 consecutive patients undergoing an isolated coronary artery bypass grafting (CABG) were retrospectively analyzed. PoAF was defined according to the current guideline. The SII is determined using the following equation: neutrophil (N) × platelet (P) ÷ lymphocyte (L).

          Results:

          The incidence of PoAF in the present study was 24% (n=97 cases). Multivariate logistic regression analysis revealed that the SII was an independent predictor of PoAF (Odds ratio: 1.002 95% confidence interval: (1.001-1.002), p<0.01). The optimal value of the SII in detecting PoAF was established by a receiver operating characteristic curve assessment, and it was >807.8 with 60.8% sensitivity and 80.9% specificity [area under the curve (AUC): 0.7107]. The AUC value of SII in detecting PoAF was much greater than the AUC values of both the neutrophil to lymphocyte ratio (NLR) and the platelet to lymphocyte ratio (PLR) (AUC: 0.6740 and AUC: 0.6426, respectively).

          Conclusions:

          This study revealed that SII was an independent predictor of PoAF in patients who were operated on for isolated CABG. Additionally, SII had a better discriminative ability for PoAF compared to either NLR or PLR among these cases.

          Translated abstract

          Amaç:

          Enflamasyon, kalp cerrahisi olan hastalarda postoperatif atriyal fibrilasyon (PoAF) başlangıcında önemli bir rol oynadığından, bu çalışma bu tür hastalarda PoAF gelişimi için sistemik immün enflamasyon indeksinin (SII) öngörücü değerini araştırmayı amaçladı.

          Yöntemler:

          Toplamda, izole bir koroner arter baypas greft (KABG) uygulanan 391 ardışık hasta geriye dönük olarak analiz edildi. PoAF mevcut kılavuza göre tanımlanmıştır. SII nötrofil (N) x trombosit (T) ÷ lenfosit (L) formülü kullanılarak belirlendi.

          Bulgular:

          Bu çalışmada PoAF insidansı %24’tür (n=97 olgu). Çok değişkenli lojistik regresyon analizi, SII’nin PoAF’nin bağımsız bir öngörücüsü olduğunu ortaya çıkarmıştır [olasılık oranı: %95 güven aralığı: 1,002 (1,001-1,002), p<0,01]. PoAF tespitinde SII’nin optimal değeri, alıcı işletim karakteristik eğri değerlendirmesi ile belirlendi ve SII’nin ideal değeri %60,8 duyarlılık ve %80,9 özgüllük [eğri altı alanı (EAA): 0,7107] ile 807,8’den büyük olarak belirlendi. PoAF’nin tespitinde SII’nin EAA, nötrofil/lenfosit oranının (NLO) veya trombosit/lenfosit oranının (TLO) (sırasıyla EAA: 0,6740 ve EAA: 0,6426) EAA’sından daha yüksekti.

          Sonuçlar:

          Bu araştırmada, izole KABG nedeniyle ameliyat edilen hastalarda SII’nin PoAF’nin bağımsız bir öngörücüsü olduğunu gösterdik. Ek olarak SII, bu olgular arasında NLO veya TLO’ya kıyasla PoAF için daha iyi ayırt etme yeteneğine sahipti.

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          Most cited references21

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          • Article: not found

          Systemic immune-inflammation index predicts prognosis of patients after curative resection for hepatocellular carcinoma.

          We developed a novel systemic immune-inflammation index (SII) based on lymphocyte, neutrophil, and platelet counts and explored its prognostic value in hepatocellular carcinoma (HCC).
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            Inflammation and the pathogenesis of atrial fibrillation.

            Atrial fibrillation (AF) is the most common cardiac arrhythmia. However, the development of preventative therapies for AF has been disappointing. The infiltration of immune cells and proteins that mediate the inflammatory response in cardiac tissue and circulatory processes is associated with AF. Furthermore, the presence of inflammation in the heart or systemic circulation can predict the onset of AF and recurrence in the general population, as well as in patients after cardiac surgery, cardioversion, and catheter ablation. Mediators of the inflammatory response can alter atrial electrophysiology and structural substrates, thereby leading to increased vulnerability to AF. Inflammation also modulates calcium homeostasis and connexins, which are associated with triggers of AF and heterogeneous atrial conduction. Myolysis, cardiomyocyte apoptosis, and the activation of fibrotic pathways via fibroblasts, transforming growth factor-β and matrix metalloproteases are also mediated by inflammatory pathways, which can all contribute to structural remodelling of the atria. The development of thromboembolism, a detrimental complication of AF, is also associated with inflammatory activity. Understanding the complex pathophysiological processes and dynamic changes of AF-associated inflammation might help to identify specific anti-inflammatory strategies for the prevention of AF.
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              • Record: found
              • Abstract: found
              • Article: not found

              Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery disease

              This study examines the predictive value of a novel systemic immune-inflammation index (SII, platelet × neutrophil/lymphocyte ratio) in coronary artery disease (CAD) patients.
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                Author and article information

                Journal
                Medeni Med J
                Medeni Med J
                medj
                Medeniyet Medical Journal
                Galenos Publishing
                2149-2042
                2149-4606
                December 2021
                19 December 2021
                : 36
                : 4
                : 318-324
                Affiliations
                [1 ]University of Health Sciences Turkey, Istanbul Sultan 2. Abdulhamid Han Training and Research Hospital, Clinic of Cardiology, Istanbul, Turkey
                [2 ]University of Health Sciences Turkey, Van Training and Research Hospital, Turkey, Clinic of Cardiology, Van, Turkey
                [3 ]University of Health Sciences Turkey, Istanbul Sultan 2. Sultan Abdulhamid Training and Research Hospital, Clinic of Cardiovascular Surgery, Istanbul, Turkey
                Author notes
                * Address for Correspondence: University of Health Sciences Turkey, Istanbul Sultan 2. Abdulhamid Han Training and Research Hospital, Clinic of Cardiology, Istanbul, Turkey E-mail: murat-slck@ 123456hotmail.com
                Author information
                https://orcid.org/0000-0002-6386-0142
                https://orcid.org/0000-0001-8188-5020
                https://orcid.org/0000-0003-3165-6769
                https://orcid.org/0000-0003-1170-4567
                https://orcid.org/0000-0001-6334-9881
                https://orcid.org/0000-0002-8617-3281
                Article
                50538
                10.4274/MMJ.galenos.2021.37998
                8694166
                34939398
                81e35ec3-40fa-4fed-ac9b-00c5826edfb3
                © Copyright Istanbul Medeniyet University Faculty of Medicine.

                This journal is published by Galenos Publishing House. Licenced by Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

                History
                : 20 September 2021
                : 25 November 2021
                Categories
                Original Article

                sii,postoperative atrial fibrillation,coronary artery bypass grafting,predictive,postoperatif atriyal fibrilasyon,koroner arter baypas greft,öngörücü

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