scholarly journals 37 Prognostic role of the lung ultrasound in the acute coronary syndrome

2021 ◽  
Vol 23 (Supplement_G) ◽  
Author(s):  
Lucia Tricarico ◽  
Paola Persichella ◽  
Pietro Mazzeo ◽  
Alessandra Leopizzi ◽  
Adriana Mallardi ◽  
...  

Abstract Aim Acute coronary syndromes (ACS) represent one of the major causes of mortality in our country. Lung ultrasound is an important diagnostic tool in the assessment of lung and pleural diseases; it is easy to perform and provides low-cost analysis and it is also easily learned with a few hours of training. To evaluate the usefulness of lung ultrasound in the early diagnosis of pulmonary congestion in patients admitted to ICU for ACS and to evaluate its possible prognostic role in the short and long term. Methods Forty-three patients with ACS admitted in the ICU of Foggia were enrolled in the study between April 2020 and July 2020 (mean age 64.7 ± 12.7 years, male: 67.4%). Medical history, physical examination, ECG, blood analysis, chest X-ray, lung ultrasound and echocardiography were collected at the admission in ICU, after 24 h and at the dismission. All patients were re-evaluated, through a telephone follow-up 3 months after discharge. The primary endpoints were re-hospitalization at 30 days and the following MACEs: development of acute pulmonary oedema during hospitalization, cardiogenic shock, death and the need for oxygen therapy or the use of non-invasive ventilation. The secondary endpoints were out-of-hospital death from cardiac causes and re-hospitalization after 3 months. Results The analysis of the ROC curves showed that pulmonary ultrasound performed on admission in the ICU predicted more than the thoracic physical examination [AUC 0.536 (0.367–0.699); P = 0.111], chest radiograph (AUC 0.561 (0.391–0.721); P = 0.109] and LVEF [AUC 0.525 (0.357–0.689); P = 0.119], the risk of adverse cardiovascular events hospital, although not reaching the cut-off for statistical significance [AUC 0.661 (0.489–0.806); P = 0.0895]. Among all in-hospital events, pulmonary ultrasound predicted higher sensitivity and specificity [AUC 0.665 (0.493–0.809); P = 0.0927] than chest radiography [AUC 0.588 (0.417–0.745); P = 0.113], clinical examination [AUC 0.550 (0.380–0.711); P = 0.116] and LVEF [AUC 0.515 (0.348–0.680); P = 0.125], the use of oxygen therapy and NIV during hospitalization stay. Conclusions In patients with ACS, on admission lung ultrasound predicts the risk of in-hospital events, particularly the use of oxygen therapy or non-invasive mechanical ventilation more than physical examination, chest X-ray and LVEF estimated by echocardiography. It can be considered a complementary method to echocardiography in the evaluation of cardiac function, allowing to estimate the amount of extra-vascular lung water.

2021 ◽  
Author(s):  
Federico Giannelli ◽  
Diletta Cozzi ◽  
Edoardo Cavigli ◽  
Irene Campolmi ◽  
Francesca Rinaldi ◽  
...  

Abstract Background The aim is to describe lung ultrasound (LUS) findings in a cohort of patients with suspected pulmonary tuberculosis (PTB) and compare them with computed tomography (CT) and chest x-ray (CXR) findings in order to evaluate the potentiality of LUS in TB diagnosis. Methods In this prospective study, 82 subjects with suspected TB were enrolled after being evaluated with CXR and chest CT. LUS was performed by blinded radiologists within 3 days after admission. A semiquantitative index was used: score 1 (lesions that extend for about 1 - 15% of the affected zone), score 2 (15 - 40%) and score 3 (40-100%).Results Microbiological analysis confirmed TB diagnosis in 58/82 (70.7%). CT was positive in all patients, LUS in 79/82 (96,3%) CXR in 78/82 (95,1%) and adding LUS and CXR in 100%. In PTB patients we found a great number of lungs zones with micronodules and with total findings than non-TPB patients (p<0,05). Overall LUS sensitivity was 80%, greater for micronodules (82%) and nodules (95%), lower for consolidation with air bronchogram (72%) and cavitations (33%). We reported 5 complicated pleural effusion at LUS, only 1 in CT. CXR overall sensitivity was 81%. Adding CXR and LUS findings we reported a sensitivity of 90%. Conclusion LUS could be considered a valid, non-invasive and cost-effective diagnostic tool especially in world regions where CT were not available, also in addiction with CXR. Trial Registration This study was approved by the Ethics Committee of our University Hospital (rif. CEAVC 14816).


Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 437
Author(s):  
Barbara Brogna ◽  
Elio Bignardi ◽  
Claudia Brogna ◽  
Mena Volpe ◽  
Giulio Lombardi ◽  
...  

Imaging plays an important role in the detection of coronavirus (COVID-19) pneumonia in both managing the disease and evaluating the complications. Imaging with chest computed tomography (CT) can also have a potential predictive and prognostic role in COVID-19 patient outcomes. The aim of this pictorial review is to describe the role of imaging with chest X-ray (CXR), lung ultrasound (LUS), and CT in the diagnosis and management of COVID-19 pneumonia, the current indications, the scores proposed for each modality, the advantages/limitations of each modality and their role in detecting complications, and the histopathological correlations.


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 ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-3
Author(s):  
Ayodeji Dina ◽  
Peter Barlis ◽  
William van Gaal

Chest pain and troponin elevation may be due to an acute coronary syndrome, myocarditis, acute cardiomyopathy, or other less common conditions. Management differs depending on the aetiology, and the pathophysiologic diagnosis has direct implications on treatment and patient outcomes. History and clinical examination is supplemented by selected investigations including the electrocardiogram, chest X-ray, echocardiography, coronary angiography, and even myocardial perfusion scintigraphy or cardiac magnetic resonance imaging. Intravascular imaging can provide important insights into the underlying mechanism of acute coronary syndromes, especially when angiography is ambiguous.


2021 ◽  
Author(s):  
Ali Mohammad Alqudah ◽  
Shoroq Qazan ◽  
Ihssan S. Masad

Abstract BackgroundChest diseases are serious health problems that threaten the lives of people. The early and accurate diagnosis of such diseases is very crucial in the success of their treatment and cure. Pneumonia is one of the most widely occurred chest diseases responsible for a high percentage of deaths especially among children. So, detection and classification of pneumonia using the non-invasive chest x-ray imaging would have a great advantage of reducing the mortality rates.ResultsThe results showed that the best input image size in this framework was 64 64 based on comparison between different sizes. Using CNN as a deep features extractor and utilizing the 10-fold methodology the propose artificial intelligence framework achieved an accuracy of 94% for SVM and 93.9% for KNN, a sensitivity of 93.33% for SVM and 93.19% for KNN and a specificity of 96.68% for SVM and 96.60% for KNN.ConclusionsIn this study, an artificial intelligence framework has been proposed for the detection and classification of pneumonia based on chest x-ray imaging with different sizes of input images. The proposed methodology used CNN for features extraction that were fed to two different types of classifiers, namely, SVM and KNN; in addition to the SoftMax classifier which is the default CNN classifier. The proposed CNN has been trained, validated, and tested using a large dataset of chest x-ray images contains in total 5852 images.


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.


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

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