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Tetranectin as a potential biomarker in heart failure with ejection fraction >45%: A prospective cohort study Cover

Tetranectin as a potential biomarker in heart failure with ejection fraction >45%: A prospective cohort study

Open Access
|Jul 2025

Figures & Tables

Figure 1.

Distribution of Serum Tetranectin by NYHA Class.
Distribution of Serum Tetranectin by NYHA Class.

Figure 2.

Scatter Plot with Regression Line Illustrating the Relationship Between Serum Tetranectin and NT-proBNP in HF with EF > 45% Patients.
Scatter Plot with Regression Line Illustrating the Relationship Between Serum Tetranectin and NT-proBNP in HF with EF > 45% Patients.

Figure 3:

Kaplain-Meier Curves by NYHA Class in HFpEF Patients.
Kaplain-Meier Curves by NYHA Class in HFpEF Patients.

Univariate and Multivariate Cox Models for TETRA and All-Cause Mortality

OutcomeModelHR (per 10 ng/mL decrease)95% CIp-value
All-Cause MortalityUnivariable1.381.06–1.810.045
Multivariable1.220.94–1.860.112

Effect Sizes (Cohen’s d) for Pairwise Comparisons of TETRA Levels Across NYHA Classes

ComparisonTETRA (Cohen’s d)
G1 vs. G22.43
G1 vs. G33.19
G2 vs. G31.96

Spearman’s Rank Correlations Between TETRA and Clinical/Echocardiographic Variables

VariableSpearman’s rhop-value
NT-proBNP (pg/mL)−0.66<0.001
E/e’ Ratio−0.580.003
LAVI (mL/m2)−0.520.010
LAS (%)0.550.005
GLS (%)0.480.024
LVEF (%)0.450.038

Baseline Characteristics of Patients with HF with EF > 45%, Stratified by NYHA Class

Variable (Units), Mean (SD) or Median (IQR)Overall Population (n = 116)G1 (NYHA I, n = 48)G2 (NYHA II, n = 37)G3 (NYHA III–IV, n = 31)
Age (years), mean (SD)59.76 (13.5)53.17 (11.2)64.38 (12.8)64.77 (13.9)
Female sex, n (%)48 (41.4%)20 (41.7%)16 (43.2%)12 (38.7%)
BMI (kg/m2), median (IQR)29.39 (25.59–34.55)29.07 (25.65–34.22)29.39 (25.59–34.55)30.93 (23.18–35.32)
CKD, n (%)43 (37%)14 (29%)14 (38%)15 (48%)
Total Cholesterol (mg/dL), median (IQR)245 (200–275)238 (195–278)250 (200–275)245 (210–276)
Diabetes, n (%)87 (75.0%)36 (75.0%)28 (75.7%)23 (74.2%)
Beta-blockers, n (%)79 (68%)31 (65%)26 (70%)22 (71%)
ACE/ARBs, n (%)72 (62%)29 (60%)23 (62%)20 (65%)
Diuretics, n (%)60 (52%)19 (40%)20 (54%)21 (68%)
SGLT2 Inhibitors, n (%)25 (22%)7 (15%)9 (24%)9 (29%)
MRAs, n (%)32 (28%)10 (20%)11 (30%)11 (35%)
NT-proBNP (pg/mL), median (IQR)446 (303–819)318 (207–454)500 (320–737)716 (483–947)
E/A Ratio, median (IQR)1.2 (0.9–1.8)0.9 (0.8–1.2)1.3 (1.0–1.6)1.8 (1.4–2.2)
E/e’ Ratio, median (IQR)12 (9–16)9 (8–11)13 (10–15)16 (14–18)
GLS (%), mean (SD)−17.16 (2.8)−18.54 (2.9)−17.05 (2.5)−15.48 (2.1)
LAS (%), median (IQR)26 (19–41)35 (27–44)25 (19–29)21 (17–27)
LVEF (%), mean (SD)51.91 (4.5)55.83 (4.2)50.00 (3.8)48.71 (3.2)
TETRA (ng/mL), median (IQR)34.0 (21.5–55.3)48.9 (34.4–64.0)33.2 (21.5–51.2)27.6 (18.9–37.1)

Group Differences in Clinical and Echocardiographic Variables Across NYHA Classes

Variable (Units)Test Statistic (F or H)p-value
Age (years)F = 12.547<0.001
NT-proBNP (pg/mL)H = 58.324<0.001
E/e’ RatioH = 45.8720.003
LAVI (mL/m2)H = 39.2140.025
LAS (%)H = 42.135<0.001
GLS (%)F = 8.9760.009
LVEF (%)F = 10.3420.017
DOI: https://doi.org/10.2478/rjim-2025-0014 | Journal eISSN: 2501-062X | Journal ISSN: 1220-4749
Language: English
Page range: 251 - 262
Submitted on: May 22, 2025
Published on: Jul 26, 2025
Published by: N.G. Lupu Internal Medicine Foundation
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Paula Alexandra Vulciu, Luminita Pilat, Norberth-Istvan Varga, Voicu Dascau, Calin Popa, Maria-Daniela Mot, Paula Irina Barata, Imola Donath Miklos, Maria Puschita, published by N.G. Lupu Internal Medicine Foundation
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.