The American journal of emergency medicine
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Currently, there is a deficiency in nomograms specifically designed for predicting the failure of high-flow nasal cannula (HFNC) oxygen therapy in patients with hypercapnic acute respiratory failure (hypercapnic ARF). The aim of this retrospective study is to develop and evaluate a nomogram that assesses the risk of HFNC failure in this patient population. ⋯ Key demographic and laboratory parameters associated with the failure of HFNC in patients with hypercapnic ARF have been identified. These parameters were used to develop a precise and user-friendly nomogram, which could serve as an effective clinical tool for clinicians.
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To describe women presenting to the emergency department (ED) for previously undiagnosed pelvic organ prolapse (POP). Secondary objective was to determine rates of outpatient specialty follow-up and factors associated with accessing follow-up care. ⋯ POP causes sufficient distress to prompt an ED encounter. A subset of women overrepresented by Black and publicly insured women utilize the ED for initial POP evaluation, when compared to patients who access initial outpatient POP care. A minority of patients underwent outpatient follow-up. Further research is needed to understand care-seeking behaviors for POP and barriers to timely outpatient follow-up care.
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Lung ultrasound, the most precise diagnostic tool for pleural effusions, is underutilized due to healthcare providers' limited proficiency. To address this, deep learning models can be trained to recognize pleural effusions. However, current models lack the ability to diagnose effusions in diverse clinical contexts, which presents significant challenges. ⋯ Our research highlights the development of a deep learning model that effectively detects pleural effusions of varying sizes and complexities on lung ultrasound in different clinical settings. This tool has the potential to enhance emergency physicians' ability to quickly and accurately diagnose effusions, particularly in time-sensitive situations.