A novel predictor in patients undergoing heart valve surgery: systemic inflammation response index: a single center cross-sectional study

M. Karaçalılar, M. Demir

Department of Cardiovascular Surgery, Department of Cardiology, Dicle University School of Medicine, Diyarbakir, Turkey. m.karacalilar@gmail.com

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• Cardiovascular Diseases
• Immunology

OBJECTIVE: Inflammation plays a pivotal role in heart valve disease (HVD). This study aimed at evaluating the prognostic value of systemic inflammation response index (SIRI) after valve replacement surgery.

SUBJECTS AND METHODS: The study enrolled 90 patients who underwent valve replacement surgery. SIRI was calculated using laboratory data on admission. Receiver operating characteristic (ROC) analysis was used to calculate the optimal cutoff values of SIRI for predicting mortality. Univariable and multivariable COX analysis was used to assess the relationship of SIRI with clinical outcomes.

RESULTS: 5-year mortality rate was higher in SIRI ≥1.55 group than SIRI <1.55 group [16 (38.1%) vs. 9 (18.8%)]. In receiver operating characteristic analysis, the optimal cutoff values for SIRI were 1.55 (area under the curve 0.654, p: 0.025). Univariable analysis revealed that SIRI [OR: 1.41, 95%CI (1.13-1.75), p<0.001] was an independent predictor of 5-years mortality. Multivariable analysis revealed that glomerular filtration rate (GFR) [OR: 0.98, 95%CI (0.97-0.99)] was an independent predictor of 5-years mortality.

CONCLUSIONS: Although SIRI is a preferable parameter for the detection of long-term mortality, it failed to predict in-hospital and 1-year mortality. Larger multi-center studies are needed to investigate effect of SIRI on prognosis.

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