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The predictive value of AGEF score for contrast-induced nephropathy in patients with lower extremity peripheral artery disease   
Yazarlar (10)
Dr. Öğr. Üyesi Doğan İLİŞ Dr. Öğr. Üyesi Doğan İLİŞ
Kafkas Üniversitesi, Türkiye
Ayca Arslan
Kafkas Üniversitesi, Türkiye
Doç. Dr. İnanç ARTAÇ Doç. Dr. İnanç ARTAÇ
Kafkas Üniversitesi, Türkiye
Dr. Öğr. Üyesi Muammer KARAKAYALI Dr. Öğr. Üyesi Muammer KARAKAYALI
Kafkas Üniversitesi, Türkiye
Timor Omar
Kafkas Üniversitesi, Türkiye
Ozturk Demir
Kafkas Üniversitesi, Türkiye
Ezgi Guzel
Kafkas Üniversitesi, Türkiye
Omer Kertmen
Amasya Üniversitesi, Türkiye
Prof. Dr. Yavuz KARABAĞ Prof. Dr. Yavuz KARABAĞ
Kafkas Üniversitesi, Türkiye
Prof. Dr. İbrahim RENCÜZOĞULLARI Prof. Dr. İbrahim RENCÜZOĞULLARI
Kafkas Üniversitesi, Türkiye
Devamını Göster
Özet
Background: Lower extremity peripheral artery disease (LEAD) is a disease that impairs quality of life, causes amputation and is associated with mortality. Percutaneous interventions are performed for therapeutic purposes in patients with LEAD. Contrast-induced nephropathy (CIN) may emerge due to the contrast media used during these interventions. This study aimed to investigate the predictive value of six scoring systems, including AGEF, ACEF, Zhi-Feng Yao, CR4EATME3AD3, Mehran, and Tziakas, for CIN. Methods: This retrospective study included 690 patients with LEAD. The study population was divided into two groups according to the presence of CIN. Results: In our study, the AGEF, ACEF, Tziakas, Zhi-Feng Yao, CR4EATME3AD3, and Mehran scoring systems demonstrated robust predictive capabilities for the development of CIN following percutaneous intervention in patients with LEAD. Moreover, the AGEF, Zhi-Feng Yao, CR4EATME3AD3, and Mehran scores were identified as independent predictors of CIN development in patients with LEAD revascularized via endovascular interventions. Conclusion: The findings of this study revealed that various scoring systems performed well in predicting CIN in LEAD patients. In addition, among these scoring systems, AGEF has been shown to be the best in terms of predictive power.
Anahtar Kelimeler
AGEF | CIN | Contrast media | Kidney failure | LEAD | Peripheral artery disease
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı Açık Erişim BMC Cardiovascular Disorders
Dergi ISSN 1471-2261 Wos Dergi Scopus Dergi
Dergi Grubu Q2
Makale Dili İngilizce
Basım Tarihi 12-2025
Cilt No 25
Sayı 1
Doi Numarası 10.1186/s12872-025-05240-3