Evidence map›Paper›PMID 41284192›Full record

ArticleJournal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology2025

Development and validation of a nomogram for predicting fasciotomy requirement in lower extremity arterial injuries: a retrospective case-control study.

Heng Zhang, Huiyang Jia, Haofei Wang, Qi Dong, Yingze Zhang, Zhiyong Hou

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Heng Zhang *Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, Hebei, China.
Huiyang Jia *Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, Hebei, China.
Haofei WangDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, Hebei, China.
Qi DongDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, Hebei, China.
Yingze ZhangDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, Hebei, China.
Zhiyong HouDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, Hebei, China. drzyhou@hebmu.edu.cn.ORCID http://orcid.org/0000-0001-5838-4025

Funding

Key Project of Natural Science Foundation of Hebei Province (Class A) H2024206134
6 · The paper itself

Abstract

backgroundAcute compartment syndrome (ACS) following lower extremity arterial injuries necessitates urgent fasciotomy to prevent limb loss, yet current diagnostic tools lack specificity for ischemia-reperfusion pathophysiology. Our study aimed to develop a nomogram combining biomarkers and clinical indicators to predict fasciotomy risk, enhancing early risk stratification and optimizing surgical decision-making. MATERIALS AND

methodsIn this retrospective case-control study (2010-2024), data were sourced from a tertiary hospital in China. A total of 146 patients with traumatic femoral or popliteal artery injuries were stratified into fasciotomy (n = 45) and non-fasciotomy (n = 101) groups. Adhering to the events-per-variable (EPV) principle (10:1), predictors were selected via least absolute shrinkage and selection operator (LASSO) regression and bootstrap validation. A multivariable logistic regression model was internally validated using tenfold cross-validation and 1000 bootstrap replicates.

resultsFour independent predictors were retained: limb ischemia severity (odds ratio [OR] = 4.25, 95% confidence interval [CI]: 1.97-10.02), K

conclusionsThis study integrated accessible clinical and laboratory data and identified limb ischemia severity, K LEVEL OF EVIDENCE: Level 4.

Indexed as

Compartment SyndromesFasciotomyFemoral ArteryLower ExtremityNomogramsPopliteal ArteryVascular System InjuriesAdultCase-Control StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentAcute compartment syndromeDecision curve analysisFasciotomyLogistic regressionLower extremity arterial injuriesNomogram

Identifiers

PMID41284192
PMCPMC12644328

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.