Prognostic nutritional index predicts contrast-associated acute kidney injury in patients with st-segment elevationmyocardial infarction


KURTUL A., Gok M., ESENBOĞA K.

Acta Cardiologica Sinica, cilt.37, sa.5, ss.496-503, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 5
  • Basım Tarihi: 2021
  • Doi Numarası: 10.6515/acs.202109_37(5).20210413a
  • Dergi Adı: Acta Cardiologica Sinica
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, EMBASE, Veterinary Science Database
  • Sayfa Sayıları: ss.496-503
  • Anahtar Kelimeler: Contrast-associated acute kidney injury, Inflammation, Prognostic nutritional index, ST-elevation myocardial infarction
  • Hatay Mustafa Kemal Üniversitesi Adresli: Evet

Özet

Background: Contrast-associated acute kidney injury (CA-AKI) previously known as contrast-induced nephropathy is associated with a worse prognosis in patients with acute ST-elevationmyocardial infarction (STEMI) treated with primary percutaneous coronary intervention (PCI). The prognostic nutritional index (PNI) is a simple index comprised of serum albumin level and lymphocyte count which reflects the immunonutritional-inflammatory status. Recently, clinical studies have shown associations between the PNI and clinical outcomes in several cardiovascular diseases. The aim of the study was to assess the possible utilization of the PNI to predict the development of CA-AKI after primary PCI. Method: We retrospectively included 836 patients (mean age 58 ± 12 years, 76% men) with STEMI treated with primary PCI. The PNI was calculated as 10× serum albumin (g/dL) + 0.005 × total lymphocyte count (permm3). The patients were divided into two groups according to whether or not CA-AKI developed. Results: The overall incidence of CA-AKI was 9.4%. Compared to the patients without CA-AKI, those with CA-AKI had a significantly lower PNI value (40.7 ± 3.7 vs. 35.2 ± 4.9; p < 0.001). In receiver operating characteristic curve analysis, the optimal cutoff value of the PNI to predict CA-AKIwas 38, with 82%sensitivity and 70% specificity (area under the curve 0.836, p < 0.001). In multivariate logistic regression analysis, PNI < 38, body mass index and creatininewere independently associated with CA-AKI (odds ratio 11.275, 95% confidence interval 3.596-35.351; p < 0.001). Conclusions: The PNI was inversely and significantly associated with the development of CA-AKI in acute STEMI. Assessing PNI at admission may be useful for early risk stratification of STEMI patients.