Evidence map›Paper›PMID 41454046›Full record

ArticleEuropean journal of pediatrics2025

Ultrasonographic predictors of extubation success in children: diaphragmatic, lung, and laryngeal assessment-a prospective pilot cohort study.

Ahmed R Rezk, Hanan M Ibrahim, Mahmoud Yousry, Assad Gamal, Sondos M Magdy

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Article in European journal of pediatrics, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ahmed R RezkPediatric Intensive Care Unit, Children's Hospital, Ain Shams University, Cairo, Egypt.
Hanan M IbrahimPediatric Intensive Care Unit, Children's Hospital, Ain Shams University, Cairo, Egypt.
Mahmoud YousryPediatric Intensive Care Unit, Children's Hospital, Ain Shams University, Cairo, Egypt.
Assad GamalRadiology Department, Children's Hospital, Ain Shams University, Cairo, Egypt.
Sondos M MagdyPediatric Intensive Care Unit, Children's Hospital, Ain Shams University, Cairo, Egypt. sondosmmagdy@med.asu.edu.eg.ORCID http://orcid.org/0000-0002-2832-7799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extubation failure, occurring in 3-22% of pediatric intensive care unit (PICU) patients, contributes to increased morbidity, prolonged hospitalization, and healthcare costs. Point-of-care ultrasound (POCUS) provides a bedside, radiation-free method to assess extubation readiness. This pilot study evaluated the predictive value of lung, diaphragmatic, and laryngeal ultrasound for extubation success in mechanically ventilated children. In this prospective pilot study, 30 children (22 males, 8 females; aged 1 month-14 years) ventilated for > 24 h were enrolled. Patients with congenital diaphragmatic, pulmonary, or laryngeal abnormalities were excluded. Ultrasound examinations of the diaphragm, lungs, and larynx were performed within 24 h before and after extubation. Patients were classified as successful or failed extubation (reintubation within 48 h). Receiver operating characteristic (ROC) curve analysis was used to determine optimal cut-off values. Extubation succeeded in 18 (60%) and failed in 12 (40%) patients. Diaphragmatic excursion > 5.5 mm was the strongest predictor (sensitivity 100%, specificity 91.7%). Diaphragmatic thickening fraction > 29% (sensitivity 88.9%, specificity 66.7%); lung ultrasound score < 16.5 (sensitivity and specificity 80%); and body mass index > 14.8 (sensitivity 100%, specificity 63.6%) were also significant predictors. Reduced laryngeal air width difference moderately predicted failure (specificity 83.3%, p = 0.025).

conclusionDiaphragmatic excursion and thickening fraction are the most accurate ultrasound predictors of extubation success, with lung and laryngeal assessments providing complementary insights. Combining these modalities may improve bedside evaluation of extubation readiness in critically ill children. WHAT IS KNOWN: • Extubation failure remains frequent in pediatric intensive care units, and currently used clinical predictors have limited reliability. • Bedside ultrasonography enables non-invasive assessment of diaphragmatic, pulmonary, and laryngeal function in critically ill children. WHAT IS NEW: • This pilot study integrates diaphragmatic, lung, and laryngeal ultrasonography into a single bedside extubation assessment strategy in children. • Diaphragmatic excursion and diaphragmatic thickening fraction emerged as the strongest ultrasound predictors of extubation success.

Indexed as

Airway ExtubationPoint-of-Care TestingUltrasonographyVentilator WeaningAdolescentBody Mass IndexChildChild, PreschoolDiaphragmFemaleHumansInfantInfant, NewbornIntensive Care Units, PediatricLarynxLungCritical careExtubation failurePediatricPilot studyPOCUSUltrasonography

Identifiers

PMID41454046
PMCPMC12743022

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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.