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논문 기본 정보

자료유형
학술저널
저자정보
Ibrahim Rencuzogullari (Kafkas University Medical Faculty) Metin Çağdaş (Kafkas University Medical Faculty) Süleyman Karakoyun (Kafkas University Medical Faculty) Yavuz Karabağ (Kafkas University Medical Faculty) Mahmut Yesin (Kars Harakani State Hospital) Mustafa Ozan Gürsoy (Gaziemir State Hospital) İnanç Artaç (Kafkas University Medical Faculty) Doğan İliş (Kafkas University Medical Faculty) Süleyman Çağan Efe (Ağrı State Hospital) Kevser Tural (Kafkas University Medical Faculty) Ibrahim Halil Tanboğa (Ataturk University Medical Faculty)
저널정보
대한심장학회 Korean Circulation Journal Korean Circulation Journal Vol.48 No.1
발행연도
2018.1
수록면
59 - 70 (12page)

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Background and Objectives Contrast-induced nephropathy (CIN) is a common complication of primary percutaneous coronary intervention (pPCI) and is associated with high mortality and morbidity and long hospital stay in patients with ST elevation myocardial infarction (STEMI). The Syntax Score (SS) has previously been studied in STEMI patients, and it was associated with increased CIN development and long-term mortality. This study investigates a possible relationship between CIN development and Syntax Score II (SSII) and compares SS and SSII by assessing CIN risk in STEMI patients treated with pPCI. Methods A total of 1,234 patients who underwent pPCI were divided into 2 groups according to CIN development. Patients with CIN were further divided into 2 groups according to whether or not they required hemodialysis. Reclassification tables, net reclassification improvement, and integrated discriminative improvement methods were used to assess the additive predictive value of SSII for predicting CIN. Results In the present study, 166 patients (13.5%) had CIN. Although both SS and SSII were significantly higher in CIN patients, only SSII was an independent predictor of CIN (odds ratio [OR], 1.031; 95% confidence interval [CI], 1.012–1.051; p<0.001) and hemodialysis requirement (OR, 1.078; 95% CI, 1.046–1.078; p<0.001). When comparing SSII and SS in their ability to determine CIN risk, we found SSII to have a reclassification improvement of 27.59% (p<0.001) and an integrated discrimination improvement of 9.1% (p<0.001). Conclusions The combination of clinical and anatomic variables can more accurately identify patients who are at high risk for CIN after pPCI. While SSII is harder to calculate than SS, it provides better prediction for CIN and hemodialysis requirement than SS.

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