Diaphragmatic dysfunction by ultrasound and HACOR score for early prediction of noninvasive ventilation failure in patients with acute exacerbation of chronic obstructive pulmonary disease
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background Although noninvasive ventilation (NIV) is regarded as a first-line treatment for patients experiencing respiratory failure brought on by an acute exacerbation of chronic obstructive pulmonary disease, its failure rate ranges from 5 to 40%. Compared to a physical examination and chest radiography, combined lung ultrasound (LU) which performed swiftly and conveniently at bedside in critically has a greater diagnosis accuracy. In patients with hypoxemic respiratory failure admitted to a respiratory intensive care unit, the HACOR score is used to predict NIV failure. The study's goal was to use the US diaphragm thickness (Tdi) to predict NIV failure in patients with AECOPD by comparing it to the HACOR score. Methods In our study, we recruited 60 COPD patients who were divided into group A: patients with noninvasive ventilation (NIV) failure and group B: patients with successful noninvasive ventilation (NIV). All patients were subjected to the following baseline assessment including full clinical examination and routine laboratory workup including ABG on admission. The APACHE II scores were calculated on admission, and HACOR score was used in 1, 6, 12, 24, and 48 h after starting NIV. US assessment of the diaphragm was performed on admission and before starting NIV. Patients were followed until ICU discharge or death. Results The cut-off value of Tdi (%) was 29% to predict noninvasive MV failure with sensitivity 91.7% and specificity 69.4%. The cut-off value of HACOR 6 h was 15 to predict noninvasive MV failure with sensitivity 91.7% and specificity 72.2%. Conclusion Tdi and HACOR score are good predictors for noninvasive MV failure in patients with AECOPD.
Authors: Salah Abdelrazek Ibrahim Gomaa, Waheed Ahmed Radwan, Yasser Sadeq Nassar, Yassmin Hamdy Elhenawy, Mohamed Gamal Elansary
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4415788749