Predictive Ability of Inflammatory Markers on In-Hospital Outcomes in Patients Admitted to Coronary Care Unit (MORCOR-TURK INFLAME)


Kümet Ö., Özgeyik M., Topuz Ş., Taşcanov M. B., DİNDAŞ F., Şahin İ., ...Daha Fazla

Angiology, cilt.77, sa.1, ss.75-81, 2026 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 77 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1177/00033197241273389
  • Dergi Adı: Angiology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, CINAHL, EMBASE
  • Sayfa Sayıları: ss.75-81
  • Anahtar Kelimeler: atherogenic index of plasma, C-reactive protein/albumin ratio, coronary care unit, in-hospital outcomes, inflammatory markers, systemic immune-inflammatory index
  • Uşak Üniversitesi Adresli: Evet

Özet

We investigated the prognostic implications of the systemic immune-inflammatory index (SII), atherogenic index of plasma (AIP), C-reactive protein/albumin ratio (CAR), neutrophil–lymphocyte ratio (NLR), prognostic nutritional index (PNI), and triglyceride/glucose index (TGI) in the MORtality predictors in the CORonary Care Units in TURKey (MORCOR-TURK) population. This is the largest registry of coronary care unit (CCU) patients in Turkey (3157 patients admitted to CCU in 50 different centers). The study population was divided into two according to in-hospital survival status; 137 patients (4.3%) died in-hospital follow-up. A significant correlation was found between death and SII, CAR, NLR, and PNI but not for AIP and TGI in logistic regression. In Model 1 (combining parameters proven to be risk predictors), the −2 log-likelihood ratio was 888.439, Nagelkerke R2 was 0.235, and AUC (area under curve) was 0.814 (95% CI: 0.771-0.858). All other models were constructed by adding each inflammatory marker separately to Model 1. Only Model 3 (CAR + Model 1) had a significantly greater AUC than Model 1 (DeLong P = .01). Our study showed that CAR, but not other inflammatory index, is a significant predictor of in-hospital mortality in CCU patients when added to proven risk predictors.