Development and validation of a dynamic prediction model for infective endocarditis patients based on platelet trajectories latent classes: a longitudinal retrospective study from multicenter databases

Integrating longitudinal PLTs trajectories with baseline characteristics enables effective risk stratification and adverse outcome prediction in patients with IE.

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Publication Details

Journal
International Journal of Surgery
Published
2025-11-06
DOI
https://doi.org/10.1097/js9.0000000000003841
Primary Topic
Infective Endocarditis Diagnosis and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a dynamic prediction model for infective endocarditis patients based on platelet trajectories latent classes: a longitudinal retrospective study from multicenter databases

Chao‐Yu Guo, Jiahong Xia, Weicong Ye, Jie Wu et al.
International Journal of Surgery
Infective Endocarditis Diagnosis and Management
article

Development and validation of a dynamic prediction model for infective endocarditis patients based on platelet trajectories latent classes: a longitudinal retrospective study from multicenter databases

Chao‐Yu Guo, Jiahong Xia, Weicong Ye, Jie Wu, Zhensheng Tao, Ran Li, Yilong Li, Xiaohan Li, Xi Zhang, Zhenhua Zou, Yanglin Hao, Zilong Luo, Kexiao Zheng
article en

Abstract

Integrating longitudinal PLTs trajectories with baseline characteristics enables effective risk stratification and adverse outcome prediction in patients with IE.

International Journal of SurgeryVol. 112(2)
Union Hospital (HK), Wuhan Union Hospital (CN), Union Hospital (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 56%
Infective Endocarditis Diagnosis and Management
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Development and validation of a dynamic prediction model for infective endocarditis patients based on platelet trajectories latent classes: a longitudinal retrospective study from multicenter databases — Chao‐Yu Guo, Jiahong Xia, et al. · International Journal of Surgery (2025) | TGRS Research Map | TGRS