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Diagnostic Accuracy and Operational Efficiency of Point-of-Care Ultrasound (POCUS) in Long Bone Fractures: A Brazilian Multicenter Study (POCUS-BONE BR)

21. Juli 2026 aktualisiert von: Emanuel Ayrton Balanga, University of Sao Paulo

The purpose of this study is to evaluate the diagnostic accuracy and operational efficiency of Point-of-Care Ultrasound (POCUS) for identifying long bone fractures in the emergency department.

Traditionally, suspected long bone fractures are diagnosed using X-rays. While effective, X-rays require transporting patients to a radiology suite, involve exposure to ionizing radiation, and can contribute to longer emergency room wait times. POCUS is a portable, radiation-free imaging tool that physicians perform directly at the patient's bedside. The investigators hypothesize that POCUS can accurately identify or rule out long bone fractures when compared to standard X-rays, and that its use will reduce the time required to make clinical decisions.

This is a multicenter, prospective observational study. Participants arriving at the emergency department with a suspected long bone fracture will undergo a bedside ultrasound examination performed by a trained emergency physician. Following the ultrasound, all participants will receive standard-of-care X-ray imaging.

Researchers will compare the initial POCUS findings to the final X-ray results (the reference standard) to determine the sensitivity and specificity of the ultrasound. Additionally, the study will measure operational timelines-including time to diagnosis, time to treatment decision, and total length of stay in the emergency department-to assess the impact of POCUS on hospital workflow and patient care efficiency.

Studienübersicht

Status

Noch keine Rekrutierung

Detaillierte Beschreibung

## Background and Rationale

Long bone fractures are among the most frequent traumatic injuries managed in emergency departments (EDs) worldwide. The current standard of care for diagnosing these fractures is plain radiography (X-ray). While highly effective and widely available, the standard radiological workflow presents several challenges in crowded ED environments. It requires patient transport to a radiology suite-which can exacerbate pain in trauma patients-involves exposure to ionizing radiation, and often contributes to significant delays in clinical decision-making and overall length of stay (LOS).

Point-of-Care Ultrasound (POCUS) has emerged as a rapid, portable, and radiation-free imaging modality that can be performed directly at the patient's bedside. Previous single-center studies have suggested that POCUS has high sensitivity and specificity for detecting fractures. However, there is a lack of robust, multicenter data evaluating its real-world implementation in diverse Brazilian emergency settings. The POCUS-BONE BR study aims to fill this gap by assessing both the diagnostic accuracy and the operational impact of integrating musculoskeletal POCUS into the standard trauma workflow.

## Study Objectives

**Primary Objective:** To determine the diagnostic accuracy (sensitivity, specificity, positive predictive value, and negative predictive value) of bedside POCUS performed by emergency physicians for the detection of long bone fractures, using standard plain radiography as the reference standard.

**Secondary Objectives:**

  • To evaluate operational efficiency by comparing time-to-diagnosis and time-to-disposition between the POCUS evaluation and standard radiological workflows.
  • To assess patient pain levels during the POCUS examination compared to standard X-ray positioning, using the Visual Analog Scale (VAS).
  • To determine the inter-observer agreement between the emergency physician's POCUS interpretation and the formal radiologist's X-ray report.

    • Study Design and Methodology

POCUS-BONE BR is a prospective, multicenter, observational diagnostic accuracy study. It will be conducted across [Insert Number] participating emergency departments in Brazil.

Eligible patients presenting to the ED with clinical signs of a suspected long bone fracture (involving the femur, tibia, fibula, humerus, radius, or ulna) will be enrolled consecutively. Written informed consent will be obtained from all participants or their legal representatives prior to enrollment.

  • Study Procedures

    1. **Initial Assessment:** Upon ED arrival and triage, patients with suspected long bone fractures will undergo standard clinical evaluation.
    2. **POCUS Examination:** An emergency physician trained in musculoskeletal ultrasound will perform a targeted bedside POCUS examination of the affected limb. The physician will document the presence or absence of a fracture, the fracture type (e.g., cortical disruption), and the time of examination completion.
    3. **Reference Standard Imaging:** Following the POCUS exam, all patients will undergo standard plain radiography of the affected extremity as dictated by standard clinical care.
    4. **Blinding:** The emergency physician performing the POCUS will be blinded to the subsequent X-ray results. The radiologist or attending orthopedist interpreting the definitive X-ray will be blinded to the POCUS findings.
    5. **Clinical Management:** Patient care, analgesia, and orthopedic consultation will proceed according to institutional protocols and will not be delayed by study procedures.
  • Data Collection and Metrics

Trained researchers will collect clinical and operational data using a standardized electronic case report form (eCRF) via [e.g., REDCap]. Key time-stamps recorded will include:

  • Time of ED triage.
  • Time of POCUS completion.
  • Time of X-ray completion.
  • Time to definitive medical decision/orthopedic consultation.
  • Total ED Length of Stay (LOS).

    • Statistical Analysis Plan

Diagnostic accuracy metrics (sensitivity, specificity, positive predictive value, and negative predictive value) will be calculated with 95% confidence intervals using standard 2x2 contingency tables. The agreement between POCUS and X-ray findings will be evaluated using Cohen's kappa coefficient.

Continuous variables (such as time-to-diagnosis and LOS) will be assessed for normality. Parametric data will be analyzed using Student's t-test, and non-parametric data using the Mann-Whitney U test. A p-value of <0.05 will be considered statistically significant. The planned sample size of [Insert Target Sample Size] patients was calculated to achieve a [Insert Power, e.g., 90%] power to detect a sensitivity of at least [Insert Percentage, e.g., 90%] with a predefined margin of error.

Studientyp

Beobachtungs

Einschreibung (Geschätzt)

260

Kontakte und Standorte

Dieser Abschnitt enthält die Kontaktdaten derjenigen, die die Studie durchführen, und Informationen darüber, wo diese Studie durchgeführt wird.

Studienkontakt

  • Name: Emanuel A Balanga, Medical Doctor
  • Telefonnummer: +55 11 965011440
  • E-Mail: eabalanga@gmail.com

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

  • Erwachsene
  • Älterer Erwachsener

Akzeptiert gesunde Freiwillige

Nein

Probenahmeverfahren

Nicht-Wahrscheinlichkeitsprobe

Studienpopulation

The study population consists of adult patients (18 years of age or older) presenting to the emergency departments of two major Brazilian academic hospitals: Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP) and Hospital das Clínicas da Faculdade de Medicina de Marília (HCFAMEMA). Eligible participants are those seeking care for acute extremity trauma with clinical suspicion of a long bone fracture, characterized by signs such as localized pain, visible deformity, swelling, or functional limitation. Patients presenting with open fractures, hemodynamic instability requiring immediate resuscitation, known previous fractures in the same anatomical segment, or those requiring immediate surgical intervention are excluded from this study population.

Beschreibung

Inclusion Criteria:

  • Patients aged 18 years or older;
  • Presenting with clinical suspicion of a long bone fracture (pain, deformity, swelling, or functional limitation);
  • Provision of informed consent (signed Informed Consent Form - ICF).

Exclusion Criteria:

  • Patients with open fractures;
  • Hemodynamic instability (resuscitation priority);
  • Known previous fractures in the same bone segment;
  • Need for immediate surgical intervention;
  • Refusal to participate.

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

Kohorten und Interventionen

Gruppe / Kohorte
Arm A
POCUS performed before radiography
Arm B
Radiography performed before POCUS

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Sensitivity of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures
Zeitfenster: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours.
Sensitivity is the percentage of participants with a long bone fracture confirmed by the reference standard (conventional radiography independently interpreted by a blinded radiologist) who were correctly classified as having a fracture by point-of-care ultrasound (POCUS) performed by a trained emergency physician. Sensitivity is calculated as the number of true positive POCUS examinations divided by the total number of participants with a fracture on the reference standard, multiplied by 100. Reported as a percentage with a 95 percent confidence interval.
From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours.

Sekundäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Positive Predictive Value of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures
Zeitfenster: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
Positive predictive value is the percentage of participants with a positive point-of-care ultrasound (POCUS) examination who have a long bone fracture confirmed by the reference standard (conventional radiography independently interpreted by a blinded radiologist). It is calculated as the number of true positive POCUS examinations divided by the total number of positive POCUS examinations, multiplied by 100. Reported as a percentage with a 95 percent confidence interval.
From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
Negative Predictive Value of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures
Zeitfenster: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
Negative predictive value is the percentage of participants with a negative point-of-care ultrasound (POCUS) examination who have no long bone fracture on the reference standard (conventional radiography independently interpreted by a blinded radiologist). It is calculated as the number of true negative POCUS examinations divided by the total number of negative POCUS examinations, multiplied by 100. Reported as a percentage with a 95 percent confidence interval.
From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
Overall Diagnostic Accuracy of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures
Zeitfenster: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
Overall diagnostic accuracy is the percentage of participants correctly classified by point-of-care ultrasound (POCUS), calculated as the sum of true positive and true negative POCUS examinations divided by the total number of participants assessed, multiplied by 100. The reference standard is conventional radiography independently interpreted by a blinded radiologist. Reported as a percentage with a 95 percent confidence interval.
From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
Interobserver Agreement Between Point-of-Care Ultrasound (POCUS) Operators
Zeitfenster: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
Agreement between two independent point-of-care ultrasound (POCUS) operators regarding the presence or absence of a long bone fracture, measured by the Cohen kappa coefficient. Kappa values range from -1 to 1, where 1 indicates perfect agreement, 0 indicates agreement equivalent to chance, and negative values indicate agreement worse than chance. Reported as a kappa coefficient with a 95 percent confidence interval.
From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
Time From Emergency Department Arrival to Point-of-Care Ultrasound (POCUS) Result
Zeitfenster: From emergency department arrival to establishment of the fracture diagnosis, assessed up to 24 hours
Time elapsed between emergency department arrival and the moment the point-of-care ultrasound (POCUS) examination result is available to the treating team, reported in minutes.
From emergency department arrival to establishment of the fracture diagnosis, assessed up to 24 hours
Time From Emergency Department Arrival to Radiography Report Availability
Zeitfenster: From emergency department arrival to establishment of the fracture diagnosis, assessed up to 24 hours
Time elapsed between emergency department arrival and the moment the conventional radiography report is available to the treating team, reported in minutes.
From emergency department arrival to establishment of the fracture diagnosis, assessed up to 24 hours
Emergency Department Length of Stay
Zeitfenster: From emergency department arrival to emergency department discharge, assessed up to 72 hours
Total time elapsed between emergency department arrival and emergency department exit (hospital admission, transfer to another facility, or discharge home), reported in hours.
From emergency department arrival to emergency department discharge, assessed up to 72 hours

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Publikationen und hilfreiche Links

Die Bereitstellung dieser Publikationen erfolgt freiwillig durch die für die Eingabe von Informationen über die Studie verantwortliche Person. Diese können sich auf alles beziehen, was mit dem Studium zu tun hat.

Allgemeine Veröffentlichungen

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Geschätzt)

19. Oktober 2026

Primärer Abschluss (Geschätzt)

20. September 2027

Studienabschluss (Geschätzt)

20. November 2027

Studienanmeldedaten

Zuerst eingereicht

15. Juli 2026

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

21. Juli 2026

Zuerst gepostet (Tatsächlich)

27. Juli 2026

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

27. Juli 2026

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

21. Juli 2026

Zuletzt verifiziert

1. Juli 2026

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Zusätzliche relevante MeSH-Bedingungen

Andere Studien-ID-Nummern

  • 8.574.218
  • Universal Trial Number (UTN) (Andere Kennung: U1111-1261-1912)

Plan für individuelle Teilnehmerdaten (IPD)

Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?

NEIN

Beschreibung des IPD-Plans

Individual participant data (IPD) will not be shared to maintain absolute patient confidentiality, as mandated by the study's Informed Consent Form. All participant data and imaging findings will be de-identified and tracked solely by alphanumeric codes. Furthermore, the dataset will remain restricted to the primary research team and stored securely using the institutional REDCap platform and encrypted local backup drives

Arzneimittel- und Geräteinformationen, Studienunterlagen

Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt

Nein

Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt

Nein

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