Serum direct bilirubin predicts severe tricuspid regurgitation in atrial fibrillation

Serum DBIL levels serve as a potential early diagnostic marker for moderate-to-severe TR in AF patients, and anti-infective therapy lowers TR incidence.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2025-12-05
DOI
https://doi.org/10.3389/fcvm.2025.1691962
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Serum direct bilirubin predicts severe tricuspid regurgitation in atrial fibrillation

Zhaoxia Wang, Xinying Zou, Daxin Zhou, Yaosheng Wang et al.
Frontiers in Cardiovascular Medicine
Atrial Fibrillation Management and Outcomes
article

Serum direct bilirubin predicts severe tricuspid regurgitation in atrial fibrillation

Zhaoxia Wang, Xinying Zou, Daxin Zhou, Yaosheng Wang, Lin Da-wei, Chun­yan Shi, Chenqing Wu
article en

Abstract

Serum DBIL levels serve as a potential early diagnostic marker for moderate-to-severe TR in AF patients, and anti-infective therapy lowers TR incidence.

Frontiers in Cardiovascular MedicineVol. 12
Shanghai Jiao Tong University (CN), Fudan University (CN), Renji Hospital (CN), XinHua Hospital (CN), Zhongshan Hospital (CN), Shanghai University of Medicine and Health Sciences (CN)
Shanghai Municipal Health Commission, National Natural Science Foundation of China, Shanghai Jiao Tong University
Openalex Percentile: Top 44%
Atrial Fibrillation Management and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.