scholarly journals Bedside lung ultrasound versus chest X-ray use in the emergency department

2014 ◽  
Vol 6 (4) ◽  
pp. 175-177
Author(s):  
Erden Ünlüer ◽  
Arif Karagöz
2021 ◽  
Vol 71 (10) ◽  
pp. 2423-2425
Author(s):  
Sanniya Khan Ghauri ◽  
Khawaja Junaid Mustafa ◽  
Arslaan Javaeed ◽  
Abdus Salam Khan

To determine the diagnostic accuracy of lung ultrasound and chest X-ray in diagnosing Acute Pulmonary Edema (APE) in patients presenting with acute dyspnea in emergency department. This study was conducted at the emergency department of Shifa International Hospital, Islamabad from 31st July 2018 to 31st January 2019. A total of 225 patients presenting with dyspnoea and satisfying inclusion criteria were assessed by clinical examination, lung USG and chest X-ray. The results of chest X-ray and lung USG were compared with clinical diagnosis. The current study revealed sensitivity of chest X-ray and LUS ( 60.16% versus 91.05%), specificity (66.67% versus 91.18%), positive predictive value  (68.52% versus 92.56%) and the negative predictive values (58.12% versus 89.42%) respectively. Present study revealed that the LUS has better accuracy than chest X-ray for diagnosis of APE. Continuou...


Author(s):  
Ryan C. Gibbons ◽  
Mark Magee ◽  
Harry Goett ◽  
James Murrett ◽  
Jessica Genninger ◽  
...  

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Cristian Giuseppe Monaco ◽  
Federico Zaottini ◽  
Simone Schiaffino ◽  
Alessandro Villa ◽  
Gianmarco Della Pepa ◽  
...  

An amendment to this paper has been published and can be accessed via the original article.


2021 ◽  
Vol 74 (8) ◽  
pp. 1783-1788
Author(s):  
Khrystyna O. Pronyuk ◽  
Liudmyla O. Kondratiuk ◽  
Andrii D. Vysotskyi ◽  
Olga A. Golubovska ◽  
Iryna M. Nikitina

The aim: To optimize diagnostic of pathological processes in lungs affected by COVID-19, dynamic monitoring and clinical decision making using lung ultrasound in limited resources settings. Materials and methods: Between the onset of pandemics and January 2021, approximately 9000 patients have been treated for confirmed COVID-19 in the Olexandrivska Clinical Hospital. Assessment of all hospitalized patients included hematology, chemistries and proinflammatory cytokines – IL-6, CRP, procalcitonin, ferritin. Diagnosis was confirmed by PCR for SARS-CoV-2 RNA. Chest X-ray was performed in all hospitalized cases, while CT was available approximately in 30% of cases during hospital stay. Lung ultrasound was proactively utilized to assess the type and extent of lung damage and to monitor the progress of disease in patients hospitalized into the ICU and Infection Unit (n=135). Ultrasound findings were recorded numerically based on scales. Results: In the setting of СOVID-19, bedside lung ultrasound has been promptly recognized as a tool to diagnose and monitor the nature and extent of lung injury. Lung ultrasound is a real time assessment, which helps determine the nature of a pathologic process affecting lungs. In this paper the accuracy of bedside LUS, chest X-ray and computer tomography are compared based on clinical cases, typical for COVID-19 lung ultrasound appearance is evaluated. Described in article data is collected in one of the biggest facility that deals with COVID-19. Chest X-ray was performed in all hospitalized cases, while CT was available approximately in 30% of cases during hospital stay. The cases presented in the paper indicate potential advantages to the use of ultrasound in limited resource healthcare settings, especially when the risk of transportation to CT outweighs the value of information obtained. Conclusions: Grading of ultrasonographic findings in the lungs was sufficient for both initial assessment with identification of high risk patients, and routine daily monitoring. Hence, lung ultrsound may be used to predict deterioration, stratify risks and make clinical decisions.


2021 ◽  
Author(s):  
Anneloes NJ Huijgens ◽  
Laurens J van Baardewijk ◽  
Carolina JPW Keijsers

Abstract BACKGROUND: At the emergency department, there is a need for an instrument which is quick and easy to use to identify geriatric patients with the highest risk of mortality. The so- called ‘hanging chin sign’, meaning that the mandibula is seen to project over one or more ribs on the chest X-ray, could be such an instrument. This study aims to investigate whether the hanging chin sign is a predictor of mortality in geriatric patients admitted through the emergency department. METHODS: We performed an observational retrospective cohort study in a Dutch teaching hospital. Patients of ≥ 65 years who were admitted to the geriatric ward following an emergency department visit were included. The primary outcome of this study was mortality. Secondary outcomes included the length of admission, discharge destination and the reliability compared to patient-related variables and the APOP screener.RESULTS: 396 patients were included in the analysis. Mean follow up was 300 days; 207 patients (52%) died during follow up. The hanging chin sign was present in 85 patients (21%). Patients with the hanging chin sign have a significantly higher mortality risk during admission (OR 2.94 (1.61 to 5.39), p < 0.001), within 30 days (OR 2.49 (1.44 to 4.31), p = 0.001), within 90 days (OR 2.16 (1.31 to 3.56), p = 0.002) and within end of follow up (OR 2.87 (1.70 to 4.84),p < 0.001). A chest X-ray without a PA view or lateral view was also associated with mortality. This technical detail of the chest x-ray and the hanging chin sign both showed a stronger association with mortality than patient-related variables or the APOP screener. CONCLUSIONS: The hanging chin sign and other details of the chest x-ray were strong predictors of mortality in geriatric patients presenting at the emergency department. Compared to other known predictors, they seem to do even better in predicting mortality.


2018 ◽  
Vol 18 (74) ◽  
pp. 193-197 ◽  
Author(s):  
Sławomir Jaszczołt ◽  
◽  
Tomasz Polewczyk ◽  
Marta Dołęga-Kozierowska ◽  
Mariusz Woźniak ◽  
...  
Keyword(s):  
X Ray ◽  

Author(s):  
Erin Bell ◽  
Kristen Manto ◽  
Giang Ha ◽  
Nabeal Aljabban ◽  
Lilia Reyes

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