Potential Biomarkers in Atrial Fibrillation: Insight into their Clinical Significance

Carbohydrate antigen 125 in atrial fibrillation

Atrial fibrillation is the most common arrhythmia in clinical settings. It is associated with an increased risk of death, stroke, and peripheral vascular embolism. Catheter ablation (CA) is an effective treatment for patients with AF. However, many studies have reported suboptimal outcomes, as AF recurrence rates often remain high after CA. Therefore, there is a need for early identification of patients who are prone to recurrence and require anti-inflammatory and/or antiarrhythmic treatment after CA. In recent years, Prediction of AF and AF recurrence after CA has become a hot topic in clinical practice. A lot of biomarkers (Such as B-type natriuretic peptide, N-terminal pro-BNP, high sensitivity C reactive protein etc.) have been identified as markers for predicting the risk of AF and AF recurrence after CA. Although these markers have been shown to predict AF and AF recurrence after CA, there are currently no relevant guidelines to indicate which of these markers have absolute predictive value. Therefore, Finding the appropriate indicators that can efficiently and accurately predict AF recurrence after AF ablation is important to provide the best treatment for each patient. These indicators still need exploration. Carbohydrate antigen 125 (CA-125) is a tumor marker suitable for the screening, diagnosis, and monitoring of ovarian malignant tumors. It has been widely studied in patients with heart failure. In recent years, the role of CA-125 in AF has been widely studied, and we provide a review in this article. It is wide availability and low cost provide additional advantages for its rapid implementation. This article reviews the role of CA-125 in patients with atrial fibrillation.

L1 cell adhesion molecule may be a protective molecule for atrial fibrillation in patients with valvular heart disease

Background

Atrial fibrillation (AF) is the most prevalent sustained arrhythmia. L1 cell adhesion molecule (L1CAM) served as a crucial regulator of signaling pathways. This research sought to examine the clinical value and functions of soluble L1CAM in the serum of AF patients.

Methods

In total, 118 patients (valvular heart disease patients [VHD, total: n = 93; AF: n = 47; sinus rhythm (SR): n = 46] and healthy controls [n = 25]) were recruited in this retrospective study. Plasma levels of L1CAM were detected by enzyme-linked immunosorbent assays. The Pearson's correlation approach, as applicable, was used for analyzing the correlations. The L1CAM was shown to independently serve as a risk indicator of AF in VHD after being analyzed by the multivariable logistic regression. To examine the specificity and sensitivity of AF, receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used. A nomogram was developed for the visualisation of the model. We further evaluate the prediction model for AF using calibration plot and decision curve analysis.

Results

The plasma level of L1CAM was substantially decreased in AF patients as opposed to healthy control and SR patients (healthy control = 46.79 ± 12.55 pg/ml, SR = 32.86 ± 6.11 pg/ml, AF = 22.48 ± 5.39 pg/ml; SR vs. AF, P < 0.001; control vs. AF, P < 0.001). L1CAM was significantly and negatively correlated with LA and NT-proBNP (LA: r = -0.344, P = 0.002; NT-proBNP: r = -0.380, P = 0.001). Analyses using logistic regression showed a substantial correlation between L1CAM and AF in patients with VHD (For L1CAM, Model 1: OR = 0.704, 95%CI = 0.607-0.814, P < 0.001; Model 2: OR = 0.650, 95% CI = 0.529-0.798, P < 0.001; Model 3: OR = 0.650, 95% CI = 0.529-0.798, P < 0.001). ROC analysis showed that inclusion of L1CAM in the model significantly improved the ability of other clinical indicators to predict AF. The predictive model including L1CAM, LA, NT-proBNP and LVDd had excellent discrimination and a nomogram was developed. The model had good the calibration and clinical utility.

Conclusion

L1CAM was shown to independently serve as a risk indicator for AF in VHD. In AF patients with VHD, the prognostic and predictive effectiveness of models incorporating L1CAM was satisfactory. Collectively, L1CAM may be a protective molecule for atrial fibrillation in patients with valvular heart disease.

Biomarkers of Atrial Fibrillation Recurrence in Patients with Paroxysmal or Persistent Atrial Fibrillation Following External Direct Current Electrical Cardioversion

Atrial fibrillation (AF) is associated with atrial remodeling, cardiac dysfunction, and poor clinical outcomes. External direct current electrical cardioversion is a well-developed urgent treatment strategy for patients presenting with recent-onset AF. However, there is a lack of accurate predictive serum biomarkers to identify the risks of AF relapse after electrical cardioversion. We reviewed the currently available data and interpreted the findings of several studies revealing biomarkers for crucial elements in the pathogenesis of AF and affecting cardiac remodeling, fibrosis, inflammation, endothelial dysfunction, oxidative stress, adipose tissue dysfunction, myopathy, and mitochondrial dysfunction. Although there is ample strong evidence that elevated levels of numerous biomarkers (such as natriuretic peptides, C-reactive protein, galectin-3, soluble suppressor tumorigenicity-2, fibroblast growth factor-23, turn-over collagen biomarkers, growth differential factor-15) are associated with AF occurrence, the data obtained in clinical studies seem to be controversial in terms of their predictive ability for post-cardioversion outcomes. Novel circulating biomarkers are needed to elucidate the modality of this approach compared with conventional predictive tools. Conclusions: Biomarker-based strategies for predicting events after AF treatment require extensive investigation in the future, especially in the presence of different gender and variable comorbidity profiles. Perhaps, a multiple biomarker approach exerts more utilization for patients with different forms of AF than single biomarker use.

Prognostic value of carbohydrate antigen 125 in patients undergoing surgical left ventricular reconstruction

BACKGROUND

Carbohydrate antigen 125 (CA125) is a biomarker often used in diagnosis of ovarian tumors. Studies also show that elevated CA125 implicates worse outcomes among patients with heart failure, while latter of which plays an important role in the pathophysiology of left ventricular aneurysm (LVA). However, the prognostic value of CA125 in LVA patients undergoing surgical left ventricular reconstruction (SLVR) remains unclear.

METHODS

In this single-centered cohort study, a total of 309 patients with LVA undergoing SLVR were retrospectively recruited. Univariable regression analysis was performed to identify the potential confounders for each outcome, followed by multivariable adjustment to confirm the association between CA125 and outcomes. The primary outcome was the overall mortality, and the secondary outcome was the major adverse cardiovascular and cerebrovascular events (MACCE) and perioperative outcomes. A receiver operating characteristic (ROC) curve was use to find the optimal cut-off value of CA125.

RESULTS

The median follow-up time was 55 months. The cohort was predominantly male (86.4%), with an average age of 58.6 years. Log (CA125) was associated with overall mortality (hazard ratio [HR]: 2.15, 95% confidence interval [CI]: 1.06-4.36, P = 0.033), prolonged hospital-stay time (HR:1.07, 95%CI: 1.03-1.12, P = 0.001) and increased risk of postoperative ventricular support (HR: 2.81, 95%CI: 1.10-7.18, P = 0.031) after multivariate adjustment. The optimal cut-off value for the CA125 for all-cause mortality was 13.825 U/ml with the area under curve of 0.675.

CONCLUSION

Elevated-CA125 implicates poorer short- and long-term prognosis in LVA patients undergoing SLVR.

Impact of multiple substance use on circulating ST2, a biomarker of adverse cardiac remodelling, in women

CONTEXT

Cardiovascular disease (CVD) and heart failure (HF) are major causes of mortality in low-income populations and differ by sex. Risk assessment that incorporates cardiac biomarkers is common. However, research evaluating the utility of biomarkers rarely includes controlled substances, which may influence biomarker levels and thus influence CVD risk assessment.

MATERIALS AND METHODS

We identified the effects of multiple substances on soluble "suppression of tumorigenicity 2" (sST2), a biomarker of adverse cardiac remodelling, in 245 low-income women. Adjusting for CVD risk factors, we examined associations between substance use and sST2 over six monthly visits.

RESULTS

Median age was 53 years and 74% of participants were ethnic minority women. An sST2 level > 35 ng/mL (suggesting cardiac remodelling) during ≥1 study visit was observed in 44% of participants. In adjusted analysis, higher sST2 levels were significantly and positively associated with the presence of cocaine (Adjusted Linear Effect [ALE]:1.10; 95% CI:1.03-1.19), alcohol (ALE:1.10; 95% CI:1.04-1.17), heroin (ALE:1.25; 95% CI:1.10-1.43), and the interaction between heroin and fentanyl use.

CONCLUSION

Results suggest that the use of multiple substances influences the level of sST2, a biomarker often used to evaluate cardiovascular risk. Incorporating substance use alongside cardiac biomarkers may improve CVD risk assessment in vulnerable women.

Growth Differentiation Factor-15 Based ABC (Age, Biomarkers, Clinical History)-AF (Atrial Fibrillation)-Bleeding Risk Score for Elderly Patients with Nonvalvular Atrial Fibrillation

Background

Growth differentiation factor-15 (GDF-15) is a strong predictor of bleeding in atrial fibrillation (AF) patients. The novel ABC (age, biomarkers, and clinical history), AF, and bleeding risk score outperforms HAS-BLED bleeding risk score for major bleeding (MB) in patients with AF receiving oral anti-coagulation in the clinical trial cohort. However, it has not been entirely externally validated. We aimed to refine and understand the application of the ABC-AF bleeding risk score in elderly (aged ≥65 years old) patients with nonvalvular atrial fibrillation (NVAF) for predicting the different types of bleeding events and anti-thrombotic treatments.

Methods

We identified elderly patients with NVAF between March 2018 and December 2019 who were hospitalized for the first time after a diagnosis of NVAF. We measured the plasma concentration of the ABC biomarkers (growth differentiation factor 15 (GDF-15) and cardiac troponin-T (cTnT)) from enrolled patients. We collected their general information and follow up for one year until December 2020. During the follow-up period, information on the occurrence of bleeding events (major bleeding, clinically relevant nonmajor gastrointestinal bleeding (CRNM GIB), and minor bleeding events) was collected.

Results

We enrolled 342 elderly NAVF patients; the ABC-AF bleeding and HAS-BLED scores were quantified. With an average of 1.5 years of follow-up, 6 patients had an intracranial hemorrhage; 57 patients had CRNM GIB; and 68 patients had minor bleeding events (36 fecal occult blood positive and 32 other minor bleeding events). The ABC-AF bleeding score yielded a C-index of 0.72 (95% CI 0.60–0.84) for predicting MB in elderly patients with NAVF, C-index of 0.69 (95% CI 0.57–0.82) by HAS-BLED score. Comparison of the incidence of bleeding events during follow-up and the predicted 1-year incidence of bleeding events by each bleeding risk score, ABC-AF bleeding, and HAS-BLED scores have similar value in predicting the risk for elderly patients with NAVF in different types of bleeding events, whether on oral anti-coagulation treatment (OAC) or non-OAC (P > 0.05).

Conclusion

In elderly patients with NVAF, the biomarker-based ABC-AF bleeding score showed similar performance compared with the HAS-BLED bleeding risk score.