Effect of the Prognostic Nutrition Index on Long-Term Outcomes in Unprotected Left Main Coronary Artery Revascularization

• Published in: Kardiologiia Vol. 63; no. 11; p. 73
• Main Authors: Güzel, Tuncay, Avcı, Eyüp, Kırış, Tuncay, Arık, Baran, Arslan, Bayram, İldırımlı, Kamran, Yıldırım, Bünyamin, Argun, Lokman, Demir, Muhammed, Aktan, Adem, Özbek, Mehmet, Aslan, Burhan, Gitmez, Mesut, Karaçalılar, Mehmet, Çakır, Çayan, Kılıç, Raif, Ertaş, Faruk
• Format: Journal Article
• Language: English
• Published: Russia (Federation) 05.12.2023
• ISSN: 0022-9040
• DOI: 10.18087/cardio.2023.11.n2367

Objective    The prognostic nutritional index (PNI) is a practical, applicable, prognostic scoring system. However, its clinical significance in unprotected left main coronary artery (ULMCA) patients undergoing percutaneous coronary intervention (PCI) has not yet been clarified. This study aimed to examine the relationship between malnutrition as assessed by PNI and major adverse cardiac events (MACE) in ULMCA patients undergoing PCI.Material and methods    185 patients who were hospitalized in our clinic underwent coronary angiography, had a critical LMCA lesion, and underwent angiography-guided PCI were included. The study population was divided into tertiles based on the PNI values. A high PNI (n=142) was defined as a value in the third tertile (≥ 34.0), and a low PNI (n=43) was defined as a value in the lower 2 tertiles (< 34.0). The primary endpoint was MACE.Results    MACE and mortality rates in the low PNI group were significantly higher compared to the high PNI group (51 % vs. 30 %, p=0.009; 44 % vs. 20 %, p=0.002, respectively). High PNI (HR:1.902; 95 % CI:1.112-3.254; p=0.019), previous stroke (HR:3.025; 95 % CI:1.038-8.810; p=0.042) and SYNTAX score (HR:1.028; 95 % CI:1.004-1.057, p=0.023) were independent predictors of MACE in the multivariable cox regression analyzes.Conclusions    In patients undergoing ULMCA PCI, nutritional status can be considered an indicator of MACE rates by evaluating the PNI score. This index can be used for risk classification.