Prognostic value of fibrosis-5 index combined with C-reactive protein in patients with acute decompensated heart failure

BACKGROUND

Fibrosis-5 (FIB-5) index is a marker of liver fibrosis and has been shown to have a good prognostic value for patients with acute heart failure (AHF), and C-reactive protein (CRP) has inflammatory properties and predicts adverse prognosis in patients with HF. However, the long-term prognostic value of FIB-5 index combined with CRP in patients with acute decompensated HF (ADHF) is yet unclear.

METHODS

This retrospective study included 1153 patients with ADHF hospitalized from January 2018 to May 2022.The FIB-5 index was calculated as (albumin [g/L]×0.3 + PLT count [109/L]×0.05)-(ALP [U/L]×0.014 + AST to ALT ratio×6 + 14). Patients were stratified into the following four groups according to the median value of FIB-5 index (=-2.11) and CRP (= 4.5): Group 1 had a high FIB-5 index (FIB-5 index >-2.11) and a low CRP (CRP ≤ 4.5); Group 2 had both low FIB-5 index and low CRP; Group 3 had both high FIB-5 index and high CRP; Group 4 had a low FIB-5 index (FIB-5 index ≤-2.11) and a high CRP (CRP > 4.5). The endpoint was major adverse cardiac and cerebral events (MACCEs). Multivariate Cox analysis was used to evaluate the association of the combination with the development of MACCEs. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) analysis were used to compare the accuracy of the combination with a single prognostic factor for predicting the risk of MACCEs.

RESULTS

During the mean follow-up period of 584 ± 12 days, 488 (42.3%) patients had MACCEs. Kaplan-Meier analysis revealed that the incidence of MACCEs was different in the four groups (P < 0.001). After adjusting for the confounding factors, the hazard ratio (HR) for MACCEs in Group 4 (low FIB-5 index + high CRP) was the highest (Model 1, HR = 2.04, 95%CI 1.58-2.65, P < 0.001; Model 2, HR = 1.67, 95%CI 1.28-2.18, P < 0.001; Model 3, HR = 1.66, 95%CI: 1.27-2.17, P < 0.001). Additionally, the combination of FIB-5 index and CRP enabled more accurate prediction of MACCEs than FIB-5 index alone (NRI, 0.314,95%CI 0.199-0.429; P < 0.001; IDI, 0.023; 95% CI 0.015-0.032; P < 0.001).

CONCLUSIONS

In patients with ADHF, the combination of the FIB-5 index and CRP may be useful in risk stratification in the future.

The association between fibrinogen-to-albumin ratio (FAR) and adverse prognosis in patients with acute decompensated heart failure at different glucose metabolic states

BACKGROUND

Circulating fibrinogen-to-albumin ratio (FAR) has been proposed as a novel inflammatory biomarker and a cardiovascular disease risk predictor. However, its prognostic value in patients with acute decompensated heart failure (ADHF) and different glycemic metabolic states remains ambiguous.

METHODS

A total of 1031 hospitalized patients with ADHF from January 2018 to May 2021 were included in the study. The primary endpoints were the major adverse cardiac and cerebral events (MACCEs). Patients were categorized into high-level FAR (FAR-H) and low-level FAR (FAR-L) groups based on the optimal cut-off value of FAR obtained from restricted cubic spline function analysis. The Kaplan-Meier plots and three multivariate-adjusted Cox proportional hazard models were used to determine the association between FAR and the risk of developing MACCEs in patients with ADHF at different glycemic metabolic states.

RESULTS

MACCEs occurred in 483 (46.8%) patients during a median follow-up time of 520 days. The optimal FAR cut-off value was 0.079. Upon analyzing the Kaplan-Meier plots, the incidence of MACCEs was significantly different between the FAR groups in all patients and patients with diabetes mellitus (p < 0.05). After adjusting for the confounding factors, the hazard ratio (HR) for MACCEs in the FAR-H group was 1.29 compared with the FAR-L group in all patients (Model 3: 95% CI 1.07-1.56, p = 0.007). Additionally, high FAR was associated with MACCEs in three multivariate Cox models (Model 1, HR = 1.52, 95% CI 1.17-1.96, p = 0.002; Model 2, HR = 1.46, 95% CI 1.13-1.89, p = 0.004; Model 3, HR = 1.48, 95% CI 1.14-1.92, p = 0.003) in DM patients. But no significant differences were found between the FAR groups for prediabetes mellitus (Pre-DM) and normal glucose regulation (NGR) using the three Cox models (all p-values were > 0.05).

CONCLUSIONS

Elevated FAR was independently associated with poor prognosis in patients with ADHF and DM and thus could be used as a risk stratification tool and a potential therapeutic target in the future.

Prognostic value of triglyceride glucose (TyG) index in patients with acute decompensated heart failure

Background

The triglyceride glucose (TyG) index has been proposed as a reliable marker of insulin resistance (IR) and an independent predictor of cardiovascular disease risk. However, its prognostic value in patients with acute decompensated heart failure (ADHF) remains unclear.

Methods

A total of 932 hospitalized patients with ADHF from January 1st, 2018 to February 1st, 2021 were included in this retrospective study. The TyG index was calculated as ln [fasting triglyceride level (mg/dL) × fasting plasma glucose level (mg/dL)/2]. Patients were divided into tertiles according to TyG index values. The primary endpoints were all-cause death, cardiovascular (CV) death and major adverse cardiac and cerebral events (MACCEs) during follow-up. We used multivariate adjusted Cox proportional hazard models and restricted cubic spline analysis to investigate the associations of the TyG index with primary endpoints.

Results

During a median follow-up time of 478 days, all-cause death, CV death and MACCEs occurred in 140 (15.0%), 103 (11.1%) and 443 (47.9%) cases, respectively. In multivariate Cox proportional hazard models, the risk of incident primary endpoints was associated with the highest TyG tertile. After adjustment for confounding factors, hazard ratios (HRs) for the highest tertile (TyG index ≥ 9.32) versus the lowest tertile (TyG index < 8.83) were 2.09 (95% confidence interval [CI], 1.23–3.55; p = 0.006) for all-cause death, 2.31 (95% CI, 1.26–4.24; p = 0.007) for CV death and 1.83 (95% CI, 1.18–3.01; p = 0.006) for MACCEs. Restricted cubic spline analysis also showed that the cumulative risk of primary endpoints increased as TyG index increased. When the TyG index was used as a continuous variable, the hazard ratios of the three primary endpoints rapidly increased within the higher range of the TyG index (all cause death, TyG > 9.08; CV death, TyG > 9.46; MACCEs, TyG > 9.87).

Conclusions

The elevated TyG index was independently associated with poor prognosis, and thus would be useful in the risk stratification in patients with ADHF.