The impact of the BCIS CHIP score on the prognosis of ischemic acute heart failure.

BACKGROUND

The characteristics of acute heart failure (AHF) vary according to ischemic and non-ischemic etiology. Risk stratification of these characteristics by etiology is a pressing issue.

METHODS AND

RESULTS

A total of 1655 AHF patients were analyzed. Patients were divided into two groups by their etiology [ischemia (n = 693) and non-ischemia (n = 962) groups], and the ischemia group was further divided into three groups according to their British Cardiovascular Intervention Society (BCIS)-complex high risk indicated percutaneous coronary intervention (CHIP) score [low-score (Q1, BCIS-CHIP ≤2, n = 203), middle-score (Q2, 3 ≤ BCIS-CHIP≤4, n = 229), and high-score (Q3, BCIS-CHIP ≥5, n = 261)]. A multivariate logistic regression model showed that male sex [odds ratio (OR): 2.286, 95% confidence interval (CI): 1.785-2.926] and presence of chronic kidney disease (OR: 1.506, 95%CI: 1.197-1.895) were independently associated with ischemic etiology. Kaplan-Meier curve analysis showed that HF events within 1000 days were significantly less frequent in the ischemia group than in the non-ischemia group, and that the survival and event-free rates were significantly lower in the high-BCIS-CHIP score group than in the other two groups. A Cox regression model indicated that a high-BCIS-CHIP score was an independent predictor of 1000-day mortality [hazard ratio (HR): 2.282, 95%CI: 1.454-3.583] and HF events (HR: 1.968, 95%CI: 1.429-2.710).

CONCLUSION

Ischemic AHF was associated with male sex and chronic kidney disease, and the BCIS-CHIP score is valuable for risk stratification of ischemic AHF patients.