Relationship between CANLPH score and in-hospital mortality in patients undergoing coronary artery bypass grafting

Ozge Ozcan Abacioglu1, Arafat Yildirim1, Nermin Y Koyunsever1

  • 1Department of Cardiology, Adana City Training & Research Hospital, Adana, Turkey.

Biomarkers in Medicine
|November 8, 2021
PubMed

Insights

The novel CANLPH score shows promise for predicting in-hospital mortality following coronary artery bypass grafting (CABG). This score demonstrated comparable performance to existing risk evaluation tools, suggesting its potential clinical utility.

Area of Science:

  • Cardiology
  • Biomarkers
  • Surgical Outcomes

Background:

  • In-hospital mortality after coronary artery bypass grafting (CABG) remains a critical concern.
  • Accurate risk stratification is essential for optimizing patient management and outcomes.
  • Existing risk scores may require refinement for specific patient populations.

Purpose of the Study:

  • To evaluate the efficacy of the novel Composite Assessment of Nutritional and Inflammatory Factors (CANLPH) score in predicting in-hospital mortality post-CABG.
  • To compare the predictive performance of the CANLPH score against the established European System for Cardiac Operative Risk Evaluation II (EuroSCORE II).

Main Methods:

  • A retrospective cohort study included 999 patients undergoing CABG.
  • The CANLPH score was calculated based on neutrophil/lymphocyte ratio, C-reactive protein/albumin ratio, and platelet/hemoglobin ratio.
  • Receiver-operating characteristic (ROC) curve analysis was employed to assess predictive accuracy.

Main Results:

  • The CANLPH score demonstrated non-inferiority to EuroSCORE II in predicting in-hospital mortality (AUC difference: 0.0162, p=0.494).
  • Twenty-five patients (2.5%) experienced the primary endpoint of in-hospital mortality.

Conclusions:

  • The CANLPH score is a potentially valuable tool for assessing in-hospital mortality risk after CABG.
  • This novel score may offer a more appropriate risk assessment compared to current methods.

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