Management of acute exacerbations of COPD in the emergency department and its associations with clinical variables.
Ophir FreundAriel MelloulSabrina FriedEyal KleinhendlerAvraham UntermanEvgeni GershmanAvishay ElisAmir Bar-ShaiPublished in: Internal and emergency medicine (2024)
Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a common cause for emergency department (ED) visits. Still, large scale studies that assess the management of AECOPD in the ED are limited. Our aim was to evaluate treatment characteristics of AE-COPD in the ED on a national scale. A prospective study as part of the COPD Israeli survey, conducted between 2017 and 2019, in 13 medical centers. Patients hospitalized with AECOPD were included and interviewed. Clinical data related to their ED and hospital stay were collected. 344 patients were included, 38% females, mean age of 70 ± 11 years. Median (IQR) time to first ED treatment was 59 (23-125) minutes and to admission 293 (173-490) minutes. Delayed ED treatment (> 1 h) was associated with older age (p = 0.01) and lack of a coded diagnosis of COPD in hospital records (p = 0.01). Long ED length-of-stay (> 5 h) was linked with longer hospitalizations (p = 0.01). Routine ED care included inhalations of short-acting bronchodilators (246 patients, 72%) and systemic steroids (188 patients, 55%). Receiving routine ED care was associated with its continuation during hospitalization (p < 0.001). In multivariate analysis, predictors for patients not receiving routine care were obesity (adjusted odds ratio 0.5, 95% CI 0.3-0.8, p = 0.01) and fever (AOR 0.3, 95% CI 0.1-0.6, p < 0.01), while oxygen saturation < 91% was an independent predictor for ED routine treatment (AOR 3.6, 95% CI 2.1-6.3, p < 0.01). Our findings highlight gaps in the treatment of AECOPD in the ED on a national scale, with specific predictors for their occurrence.
Keyphrases
- emergency department
- end stage renal disease
- chronic obstructive pulmonary disease
- healthcare
- chronic kidney disease
- ejection fraction
- newly diagnosed
- prognostic factors
- metabolic syndrome
- quality improvement
- type diabetes
- clinical practice
- palliative care
- insulin resistance
- weight loss
- combination therapy
- body mass index
- chronic pain
- machine learning
- liver failure
- big data
- artificial intelligence
- intensive care unit
- air pollution
- skeletal muscle
- high fat diet induced
- hepatitis b virus
- acute respiratory distress syndrome