High-sensitivity troponin and the risk of atrial fibrillation in chronic kidney disease: Results from the Chronic Renal Insufficiency Cohort Study

Chronic Kidney Disease Associated with Ischemic Heart Disease: To What Extent Do Biomarkers Help?

Chronic kidney disease represents a complex and multifaceted pathology characterized by the presence of structural or functional renal anomalies associated with a persistent reduction in renal function. As the disease progresses, complications arise due to the chronic inflammatory syndrome, hydro-electrolytic disorders, and toxicity secondary to the uremic environment. Cardiovascular complications are the leading cause of death for these patients. Ischemic cardiac pathology can be both a consequence and complication of chronic kidney disease, highlighting the need to identify specific cardiorenal dysfunction biomarkers targeting pathophysiological mechanisms common to both conditions. This identification is crucial for establishing accurate diagnoses, prognoses, and risk stratifications for patients. This work is intended to elucidate the intricate relationship between chronic kidney disease and ischemic heart disease and to investigate the roles of cardiorenal biomarkers, including cardiac troponin, natriuretic peptides, galectin-3, copeptin, fibroblast growth factor 23 and its co-receptor Klotho, soluble suppression of tumorigenicity 2, and plasma growth differentiation factor 15.

A Differential Profile of Biomarkers between Patients with Atrial Fibrillation and Healthy Controls

Atrial fibrillation (AF) is explained by anatomical and electrophysiological changes in the atria determined by high pressure, dilatation, infiltration and inflammation in the myocardium. There are some biomarkers implicated in these processes, namely, NT-proBNP, high sensitivity troponin (Hs-Tn), urate, galectin-3, ST2, C reactive protein and fibrinogen. The aim of this study was to assess differences in these biomarkers between patients with AF and healthy controls. We designed a cross-sectional study consecutively including all patients undergoing electrical cardioversion in our hospital for persistent AF and matched healthy controls. We included 115 patients with persistent non-valvular AF and 33 healthy subjects. The biomarkers NT-proBNP, ST2 and Hs-Tn T were significantly related to the presence of AF (1054 ± 833.30 vs. 58.31 ± 59.40, p < 0.001; 35.43 ± 15.89 vs. 27.43 ± 10.95, p < 0.001 and 10.25 ± 6.11 vs. 8.42 ± 6.85, p < 0.001, respectively). NT-proBNP was the best biomarker differentiating AF patients (area under the curve 0.995). The best NT-proBNP cut-off point to differentiate AF was 102 pg/mL; for Hs-Tn T it was 11.5 ng/L and for ST2 it was 37.7 ng/mL. It is possible that these biomarkers intervene at the onset of AF and have no role in AF maintenance.

Comparison of Diagnostic Value for Chronic Kidney Disease between 640-Slice Computed Tomography Kidney Scan and Conventional Computed Tomography Scan

Objective

To explore the diagnostic value for chronic kidney disease (CKD) between 640-slice computed tomography (CT) kidney scan and conventional CT scan.

Methods

A total of 120 CKD patients who received kidney plain scan plus enhanced examination in the CT room of the Medical Imaging Department of our hospital from June 2019 to September 2019 were selected and randomly divided into the experimental group (n = 60) and the control group (n = 60). Patients in the control group received the conventional CT plain scan and enhanced scan, and for patients in the experimental group, CT plain scan was performed first, the range of 640-slice CT dynamic volume scan was determined, and after bolus injection of contrast agent, dynamic volume scan was performed for scanning in the cortical phase, myeloid phase, and secretory phase. The imaging quality and effective scanning dose were compared between the two modalities, and the relationship between CT values obtained from 640-slice CT scan and conventional CT scan and the renal impairment was analyzed.

Results

Compared with the control group, the image quality of 640-slice CT scan conducted in the experimental group was significantly better (P < 0.05); the effective radiation doses of the experimental group and the control group were, respectively, (1.89 ± 0.32) mSv and (3.26 ± 0.47) mSv, indicating that the dose was significantly lower in the experimental group than in the control group (t = 18.664, P < 0.001), and the correlation analysis showed that the relationship between the sum of CT values in the cortical phase of both kidneys and kidney injury in the experimental group was r = 0.835, P < 0.001.

Conclusion

Both 640-slice CT kidney scan and conventional CT scan can be used in the diagnosis of CKD. 640-slice CT has a lower radiation dose, better image quality, and higher application value.

Multi-variable biomarker approach in identifying incident heart failure in chronic kidney disease: results from the Chronic Renal Insufficiency Cohort study

AIMS

Heart failure (HF) is one of the leading causes of cardiovascular morbidity and mortality in the ever-growing population of patients with chronic kidney disease (CKD). There is a need to enhance early prediction to initiate treatment in CKD. We sought to study the feasibility of a multi-variable biomarker approach to predict incident HF risk in CKD.

METHODS AND RESULTS

We examined 3182 adults enrolled in the Chronic Renal Insufficiency Cohort (CRIC) without prevalent HF who underwent serum/plasma assays for 11 blood biomarkers at baseline visit (B-type natriuretic peptide [BNP], CXC motif chemokine ligand 12, fibrinogen, fractalkine, high-sensitivity C-reactive protein, myeloperoxidase, high-sensitivity troponin T (hsTnT), fibroblast growth factor 23 [FGF23], neutrophil gelatinase-associated lipocalin, fetuin A, aldosterone). The population was randomly divided into derivation (n = 1629) and validation (n = 1553) cohorts. Biomarkers that were associated with HF after adjustment for established HF risk factors were combined into an overall biomarker score (number of biomarkers above the Youden's index cut-off value). Cox regression was used to explore the predictive role of a biomarker panel to predict incident HF. A total of 411 patients developed incident HF at a median follow-up of 7 years. In the derivation cohort, four biomarkers were associated with HF (BNP, FGF23, fibrinogen, hsTnT). In a model combining all four biomarkers, BNP (hazard ratio [HR] 2.96 [95% confidence interval 2.14-4.09]), FGF23 (HR 1.74 [1.30-2.32]), fibrinogen (HR 2.40 [1.74-3.30]), and hsTnT (HR 2.89 [2.06-4.04]) were associated with incident HF. The incidence of HF increased with the biomarker score, to a similar degree in both derivation and validation cohorts: from 2.0% in score of 0% to 46.6% in score of 4 in the derivation cohort to 2.4% in score of 0% to 43.5% in score of 4 in the validation cohort. A model incorporating biomarkers in addition to clinical factors reclassified risk in 601 (19%) participants (352 [11%] participants to higher risk and 249 [8%] to lower risk) compared with clinical risk model alone (net reclassification improvement of 0.16).

CONCLUSION

A basic panel of four blood biomarkers (BNP, FGF23, fibrinogen, and hsTnT) can be used as a standalone score to predict incident HF in patients with CKD allowing early identification of patients at high-risk for HF. Addition of biomarker score to clinical risk model modestly reclassifies HF risk and slightly improves discrimination.

Inflammatory Markers and Risk of Heart Failure With Reduced to Preserved Ejection Fraction

Chronic systemic inflammation is associated with an increased risk of heart failure (HF). We sought to determine the association between biomarkers of systemic inflammation interleukin (IL)-6, IL-2, tumor necrosis factor alpha (TNF-α), and C-reactive protein (CRP) with those of HF and its subtypes. We hypothesize that inflammatory biomarkers IL-6, IL-2, TNF-α, and CRP are associated with HF and its subtypes. We included participants from the Multi-Ethnic Study of Atherosclerosis (a prospective population-based cohort study [2000 to 2002]), without a history of HF, and with available baseline inflammatory biomarkers. We explored the association of IL-6, IL-2, TNF-α, and CRP with incident HF, HF with reduced ejection fraction (left ventricular ejection fraction [LVEF] <40%, HFrEF), HF with midrange EF (LVEF 40% to 50%, HFmrEF), and HF with preserved ejection fraction (LVEF >50%, HFpEF). Among 6,814 participants, 195 developed HF over 10.9 years (56 HFrEF, 30 HFmrEF, and 57 HFpEF). In the models adjusted for clinical risk factors of HF, IL-6 (hazard ratio [HR] 1.33 per doubling; 95% confidence interval [CI] 1.10 to 1.60), TNF-α (HR 2.49 per doubling; 95% CI 1.18 to 5.28), and CRP (HR 1.18 per doubling; 95% CI 1.06 to 1.30) were associated with all HF, and IL-6 (HR 1.51 per doubling; 95% CI 1.09 to 2.10) and CRP (HR 1.21 per doubling; 95% CI: 1.01 to 1.45) were associated with incident HFpEF, whereas none of the examined biomarkers were associated with HFmrEF or HFrEF. In conclusion, inflammatory biomarkers (IL-6, TNF-α, and CRP) are independently associated with incident HF. IL-6 and CRP are associated with incident HFpEF but not HFrEF or HFmrEF. These findings suggest that activation of the IL-6/CRP pathway (as cause, consequence, or epiphenomenon) may be unique to HFpEF.

The Role of Galectin-3 and ST2 in Cardiology: A Short Review

Galectin-3 is a lectin that binds beta-galactosides. It is involved in cardiac remodeling and fibrosis through the activation of macrophages and fibroblasts. ST2 is secreted by myocardial cells due to cardiac overload. These two biomarkers have been traditionally studied in the field of heart failure to guide medical therapy and detect the progression of the disease. Nevertheless, there are novel evidences that connect galectin-3 and ST2 with coronary heart disease and, specifically, with atrial fibrillation. The aim of this article is to concisely review the diagnostic and prognostic role of galectin-3 and ST2 in different cardiac diseases.

Elevated Troponin T and Enlarged Left Atrium Are Associated with the Incidence of Atrial Fibrillation in Patients with CKD Stage 4-5

INTRODUCTION

Atrial fibrillation (AF) and CKD are commonly coexisting conditions. However, data on epidemiology of AF in patients with CKD stage 4-5 is scarce.

METHODS

We prospectively enrolled 210 consecutive non-dialysis patients with CKD stage 4-5 between 2013 and 2017. Follow-up data on AF incidence along with medical history, laboratory tests, and echocardiography at baseline were gathered.

RESULTS

At baseline, mean age was 62 years, estimated glomerular filtration rate 12.8 mL/min, and 73/210 (34.8%) participants were female. Altogether, 41/210 (19.5%) patients had a previous diagnosis of AF. After median follow-up of 46 [IQR 27] months, new-onset AF occurred in 33/169 (19.5%) patients (69.9 events/1,000 person-years). In the Cox proportional hazard model, age >60 years (HR 4.27, CI 95% 1.57-11.64, p < 0.01), elevated troponin T (TnT) >50 ng/L (HR 3.61, CI 95% 1.55-8.37, p < 0.01), and left atrial volume index (LAVI) >30 mL/m2 (HR 4.82, CI 95% 1.11-21.00, p = 0.04) were independently associated with the incidence of new-onset AF.

CONCLUSION

The prevalence and incidence of AF was markedly high in this prospective study on patients with CKD stage 4-5. Elevated TnT and increased LAVI were independently associated with the occurrence of new-onset AF in patients with severe CKD.