Evidence map›Paper›PMID 40260179›Full record

ArticleFrontiers in surgery2025

Establishing a prediction model for lower extremity deep venous thrombosis in emergency inpatients in the post epidemic era.

Xiaodong Xia, Lei Hua, Yongqiang Zhang, Qing Tang, Jiaqi Xu, Shuxin Hua, Xiaohe Liu, Yanfen Chai, Lijun Wang

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Article in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Xiaodong Xia *Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Lei Hua *Department of Craniocerebral Trauma and Critical Care Medicine, Tianjin Huanhu Hospital, Tianjin, China.
Yongqiang Zhang *Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China.
Qing TangDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Jiaqi Xu *Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China.
Shuxin HuaDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Xiaohe LiuDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Yanfen ChaiDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Lijun WangDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to analyze the risk factors of lower extremity deep vein thrombosis (LEDVT) in emergency inpatients in the post-epidemic era, and to establish a prediction model for identifying high-risk patients of LEDVT. Methods: Emergency inpatients admitted to our hospital from June 2022 to June 2023 were divided into two groups: the epidemic group and the post-epidemic group. The baseline characteristics, blood routine, liver and kidney function, blood coagulation function, and LE ultrasonography were compared between the two groups. Multivariate logistic analysis and receiver operating character (ROC) curve were used to establish and evaluate the effectiveness of a prediction model for LEDVT in the post-epidemic era. Results: A total of 967 patients were analyzed, including 388 cases in the epidemic group and 579 cases in the post-epidemic group. The portion of LEDVT cases in the post-epidemic group (33.2%) was significantly higher than that in the epidemic group (26.8%, Conclusion: The incidence of LEDVT in emergency inpatients in the post-epidemic era was significantly higher than that in the epidemic period. Age, smoking and drinking history, and glycosylated hemoglobin are at high risk for thrombosis.

Indexed as

emergencylower extremity venous thrombosispost-epidemic eraprediction modelrisk factor

Identifiers

PMID40260179
PMCPMC12009935

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