Evidence map›Paper›PMID 39979935›Full record

ArticleBMC musculoskeletal disorders2025

Admission deep venous thromboembolism of the lower extremity in patients of subtrochanteric fractures: a retrospective study.

Yuebin Zhou, Manman Jiang, Song Wang, Shujun Yu, Yinguang Zhang

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Article in BMC musculoskeletal disorders, 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

5 authors.

Yuebin Zhou *Department of Orthopaedic Surgery, Tianjin Hospital, Tianjin, 300211, China.
Manman Jiang *Department of Clinical Pharmacy, Tianjin Hospital, Tianjin, 300211, China.
Song WangDepartment of Orthopaedic Surgery, Tianjin Hospital, Tianjin, 300211, China.
Shujun YuDepartment of Orthopaedic Surgery, Tianjin Hospital, Tianjin, 300211, China.
Yinguang ZhangDepartment of Orthopaedic Surgery, Tianjin Hospital, Tianjin, 300211, China. zhangyg19752024@163.com.

Funding

Tianjin Health Information Association TJHIA-2023-024
6 · The paper itself

Abstract

backgroundSubtrochanteric fractures, which constitute 5-10% of proximal femoral fractures, are particularly challenging due to their high incidence of nonunion and failure of internal fixation. The incidence of deep venous thrombosis (DVT) in the lower extremities is notably higher among patients with orthopedic trauma, leading to significantly increased healthcare costs and prolonged hospitalization. The number of studies focusing on the incidence and risk factors among the patients with subtrochanteric fractures was quite limited. Therefore, there is a lack of effective methods of identification and predication. The study aimed to examine the occurrence and contributing factors of DVT in the lower limbs following subtrochanteric fractures in patients. MATERIALS AND

methodsRetrospective analysis was performed on the patients with subtrochanteric fracture who were admitted from August 2019 to October 2022. All patients received ultrasound doppler scanning to detect lower extremity DVT. Demographic information, comorbid conditions, and serum markers levels from patients including red blood cell (RBC), hemoglobin (HGB), lymphocyte (LYM), triglyceride (TG) and etc. were collected for analysis. Variables that demonstrated significant differences were subsequently introduced into multiple regression models to identify the independent risk factors associated with DVT.

resultsA total of 120 patients were included, including 80 males and 40 females, with an average age of 58.3 ± 16.14years. A total of 51 patients were diagnosed to have DVT, with an incidence of 42.50%. There was significant difference between two groups in terms of albumin (ALB) (P = 0.0008), total protein (TP)(P = 0.019), RBC(P = 0.013), HGB (P = 0.032) and D-dimer levels (P = 0.007). However, multivariate analyses identified increased D-dimer level(>750 ng/ml) and reduced serum albumin as independent factors. The ROC curve indicated that a D-dimer level of 750 ng/ml was the optimal cut-off value for diagnosing DVT in patients with subtrochanteric fractures, with a sensitivity of 56.52% and specificity of 82.35%. The optimal cut-off value of ALB was determined to be 36.6 g/L, with a sensitivity of 73.2% and the specificity of 41.2%. The area under the curve of 0.63 indicates that this cut-off moderately effectively distinguishes between conditions related to ALB levels.

conclusionsD-dimer level and serum albumin are independent factors of DVT in patients with subtrochanteric fractures. These data are helpful in assessing risks of DVT, and guiding the subsequent individualized intervention program.

Indexed as

Hip FracturesLower ExtremityPatient AdmissionVenous ThromboembolismVenous ThrombosisAdultAgedFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk FactorsUltrasonography, DopplerDVTEpidemiologyRisk factorsSubtrochanteric fracture

Identifiers

PMID39979935
PMCPMC11843743

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.