Benha University

أحمد محمد عبد العظيم السيد

مدرس مساعد

كلية الطب البشري الحالات الحرجة

Can Lung Ultrasound Predict Mechanical Ventilation Weaning Outcomes in Critically Ill Adults?

• 2024
العودة
معلومات البحث
المؤلفون Zeinab M. Abdelwahab a , Ahmed M. Abdelazeemb , Ahmed M. Abdelhameed b , Enas W. Mahdya
الكلمات المفتاحية Not Available
المجلة العلمية Not Available
الناشر Not Available
المجلد Not Available
العدد Not Available
الصفحات Not Available
publication.type Local
رابط البحث Not Available
المواد المرفقة Not Available
الملخص
This study aimed to assess the ability of lung ultrasound (LUS) to
predict mechanical ventilation (MV) weaning outcomes in critically
ill adults. Methods: A prospective observational study that analyzed
data collected from 50 adult patients, mechanically ventilated for
more than 48 hours and eligible for their first spontaneous breathing
trial. A LUS was performed prior to and at the end of a 1-hour SBT.
To quantify lung aeration, a LUS score was calculated. Patients
were divided into two groups according to their response to weaning
trials with group A showing successful weaning while group B
showing failed weaning. All included patients were followed up to
Intensive Care Unit discharge. Results: Weaning failure was
observed in 36% of patients. LUS score showed a significant
difference between both groups (P < 0.001). Pre- and postspontaneous breathing trial (post-SBT), LUS scores were
significantly higher in the failed weaning group (14.44 ±2.52 and
18.83 ±3.18 respectively) than in the successful weaning group
(11.25 ±3.05 and 12.53 ±3.41 respectively). A ROC analysis for the
ability of post-SBT LUS score to predict weaning outcomes
revealed a significant AUC of 0.911 with a 95% confidence interval
ranging from 0.830-0.992 (P < 0.0001). The best cut-off was 14.5, at
which sensitivity and specificity were 88.8% and 68.7%,
respectively. Conclusions: Our data suggest that LUS can be used
as a predictor of MV weaning outcomes in critically ill adults. A post-SBT LUS score cut-off
value of 14.5 has a sensitivity and a specificity of 88.8% and 68.7%, respectively.
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