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Published on: June 14, 2016
The Inflammation-Fibrosis Combined Index: A Novel Marker for Predicting Left Ventricular Reverse Remodeling and
Jia Shi1,2, Meng-Jiao Shao3, Miao Yu1,2
1Cardiac Pacing and Physiological Department, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Background:
Inflammation and cardiac fibrosis are important pathogenic drivers of heart failure. The fibrosis-4 index (FIB-4) is associated with a higher degree of fibrosis. The systemic immune inflammation index (SII) is associated with a higher degree of systemic inflammation status. Previous studies have shown that they are associated with a poor prognosis for cardiovascular disease. We sought to investigate the value of FIB-4 combined with the SII as a novel inflammation-fibrosis combined index (IFCI) in predicting left ventricular reverse remodeling (LVRR) and prognosis among reduced ejection fraction heart failure (HFrEF) patients.
Methods:
A total of 895 patients with HFrEF were continuously recruited. Receiver operating characteristic curves were drawn to assess the abilities of inflammation-fibrosis indicators to predict LVRR. Multivariable Cox regression analysis was used to examine independent predictors of composite cardiac events and all-cause death.
Results:
After six months of follow-up, 344 (38.4%) patients experienced LVRR. The IFCI had the largest area under the curve (0.835, P < 0.001). In multivariate-adjusted logistic regression analyses, FIB-4, SII, and IFCI were predictive of LVRR (P value < 0.05). The IFCI was associated with a 3.686-fold higher risk of non-LVRR (odds ratio [OR] = 3.686, P < 0.001). Moreover, an increased IFCI predicted a poor prognosis in HFrEF patients. The highest risk of composite cardiac events (hazard ratio [HR] = 2.716, P < 0.001) was observed in the top IFCI-tertile group, and similar results were found regarding independent risk indicators of all-cause death.
Conclusion:
In summary, this study indicated that increased IFCI at admission offers good predictability regarding non-LVRR and predicts the risk of all-cause mortality or composite cardiovascular events due to HFrEF patients and could be used as a novel marker.
