Ultrasonography in Predicting Difficult Intubation in Obese Emergency Surgical Patients

Minia University1 enrolled

Overview

Validity of ultrasonography in predicting difficult laryngoscopy and confirming endotracheal intubation in obese emergency surgical patients

The aim of the study is to determine whether preoperative ultrasound assessment of of the upper airway can predict difficult laryngscopy in emergency surgical obese patients , by analysis correlations between ultrasound measurements of anterior cervical soft in the upper airway, and the Cormack-Lehane grade. And evaluate its role in confirming the endotracheal placement The secondary objective was to determine whether clinical screening tests are independent predictors of difficult airway.

Study Type

OBSERVATIONAL

Enrollment

Conditions

Preoperative Ultrasound Assessment of the Upper Airway Can Predict Difficult Laryngscopy in Obese at Emergency Operations

Interventions

ultrasoundDEVICE

using of ultrasound in prediction of difficult intubation in obese surgical patients

Eligibility

Sex: ALLMin age: 18 YearsMax age: 60 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Adult obese patients (BMI\>35) of both sex aged from 18 to 60 years undergoing urgent surgeries under general anasthesia with tracheal intubation. Exclusion Criteria: * . Patients with removable upper dentures, upper airway pathology, cervical spine fractures, full stomach, maxillofacial trauma or unstable patients and pregnant women will be excluded from the study

Locations (1)

Hemmat amer mohamed

Minya, Egypt

Outcomes

Primary Outcomes

prediction of difficult intubation in obese emergency surgical patients by ultrasound

determine whether preoperative ultrasound assessment of of the upper airway can predict difficult laryngscopy in emergency surgical obese patients , by analysis correlations between ultrasound measurements of anterior cervical soft in the upper airway, and the Cormack-Lehane grade. And evaluate its role in confirming the endotracheal placement

Time frame: 30minutes

Data from ClinicalTrials.gov

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