Evidence map›Paper›PMID 42242745›Full record

ArticleInternational wound journal2026

Haemodynamic-Focused Bedside Ultrasound Enhances Early Detection of Sacral Pressure Injuries in Immobilised Polytrauma Patients.

Jing Chen, Yi diWen, Dongxu Zhu, Yan Du, Luo Yuan

Abstract read
In one paragraph

Article in International wound journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jing ChenUltrasonography Department of Chongqing Emergency Medical Center, Chongqing, China.
Yi diWenUltrasonography Department of Chongqing Emergency Medical Center, Chongqing, China.
Dongxu ZhuUltrasonography Department of Chongqing Emergency Medical Center, Chongqing, China.
Yan DuUltrasonography Department of Chongqing Emergency Medical Center, Chongqing, China.
Luo YuanDepartment of Cardiothoracic Surgery of Chongqing Emergency Medical Center, Chongqing, China.

Funding

Open Research Project of the Chongqing Key Laboratory of Emergency Medicine 2023KFKT02the Chongqing Science and Health Joint Medical Research Youth Project 2025QNXM015
6 · The paper itself

Abstract

Early detection of sacral pressure injuries (PIs) in immobilised polytrauma patients remains challenging. This study evaluated ultrahigh-frequency (UHF) ultrasound combining structural and haemodynamic parameters for early PI diagnosis. In a prospective cohort of 73 polytrauma patients (Injury Severity Score 16-25), daily sacrococcygeal assessments were performed over 15 days using UHF ultrasound (Mindray Resona 11; L20-5 s probe). Parameters included 2D morphology, perfusion (colour power angiography [CPA]), flow metrics (peak systolic velocity [PSV]), Braden Scale and inflammatory markers. PI incidence was 27.4% (n = 20; all stage I/II). Haemodynamic markers outperformed 2D ultrasound: CPA grade ≥ 1 (AUC = 0.858, 80.0% sensitivity) and PSV > 5.55 cm/s (AUC = 0.841, 95.0% sensitivity). Combined CPA + PSV achieved superior accuracy (AUC = 0.922). Systemic inflammation showed no intergroup differences. UHF ultrasound detects early PIs by capturing ischaemia-reperfusion changes. The CPA + PSV protocol provides nurses with a rapid (< 5 min), sensitive bedside tool to guide proactive interventions.

Indexed as

HemodynamicsImmobilizationMultiple TraumaPoint-of-Care SystemsPressure UlcerSacrococcygeal RegionAdultAgedEarly DiagnosisFemaleHumansInjury Severity ScoreMaleMiddle AgedProspective StudiesSensitivity and Specificityearly diagnosishaemodynamicsnursing assessmentpoint‐of‐care ultrasoundpolytraumapressure injury

Identifiers

PMID42242745
PMCPMC13238523

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Registered trials

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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.