Pleural Abnormalities Research Articles

Current Trends in the Imaging Diagnosis of Neonatal Respiratory Distress Syndrome (NRDS): Chest X-ray Versus Lung Ultrasound.

Neonatal respiratory distress syndrome (NRDS) is a major cause of morbidity and mortality in newborns, particularly in neonatal intensive care units (NICUs). Until recently, its diagnosis had been based on clinical signs, arterial blood gas analysis, and chest X-ray (CXR). However, the frequent use of CXR exposes newborns to ionizing radiation, which can have long-term negative effects, including an increased risk of cancer, especially among premature infants. Lung ultrasound (LUS) has been proposed as a promising alternative for diagnosing NRDS due to its many advantages: no exposure to radiation, the ability to be performed at the bedside, repeatability, and ease of use. This review compared the diagnostic accuracy of LUS with the reference standard, CXR, in evaluating NRDS in newborns admitted to the NICU. Studies have shown that LUS can identify specific signs of NRDS, such as bilateral "white lung," pleural line abnormalities, and lung consolidations. The method has high sensitivity and specificity for diagnosing this condition and offers several advantages over other diagnostic methods; it does not involve ionizing radiation, thereby eliminating the risk of radiation exposure; it is cost-effective, easy to use, and can be performed at the patient's bedside, making it a viable alternative to CXR for reducing ionizing radiation exposure. Additionally, LUS can be used to monitor the progression of respiratory diseases and guide clinical management, especially in determining the optimal timing for surfactant administration in newborns with respiratory distress syndrome (RDS). We conclude that LUS is an effective and non-invasive alternative method for diagnosing and managing NRDS, with the potential to improve the safety and quality of care in the NICU, where rapid and safe diagnostic tools are essential for managing the health of newborns.

Lung ultrasound to predict the duration of respiratory support in newborn infants with respiratory distress.

Lung ultrasound (LU) and clinical parameters evaluated during the first postnatal hour potentially predict the length of CPAP therapy in newborns with respiratory distress. In a single-centre, prospective observational pilot study, 130 newborns ≥36 weeks gestational age were assessed using standardised LU at 30 and 60 min postnatally. Various clinical parameters were evaluated influencing CPAP duration (<1 vs. ≥1 h) using univariate and multivariate analyses. Lung ultrasound score >5, FiO2 > 0.21 and respiratory acidosis 30 min postnatally were associated with CPAP ≥1 h. Our model showed good diagnostic quality (ROC AUC = 0.87) and was confirmed by classification and regression tree (CART) analysis. Additional LU findings like double lung point and pleural line abnormalities were frequently observed, with good interrater reliability for LU interpretation (ICC = 0.76-0.77). Newborns with postnatal respiratory distress at risk for prolonged CPAP therapy can be identified based on specific LU and clinical parameters assessed 30 min postnatally. Despite the need for validation in an independent sample, these findings may lay the groundwork for a prediction tool. LU proved feasible and reliable for assessing respiratory status in this population, highlighting potential utility in clinical practice.

Do Ultrasound Lung Abnormalities Correlate to Biomarkers and Male Gender in Rheumatoid Arthritis Patients? A Monocentric Cross-Sectional Study.

Background: Lung ultrasound (LUS) is a tool of growing interest in Rheumatoid Arthritis (RA) oligo- symptomatic ILD to avoid. Objective: We aimed to evaluate (i) the prevalence of pleural (PLUS) and parenchymal (PAUS) abnormalities in LUS in the RA population and their possible correlation to biomarkers; (ii) the predictivity of gender, smoking habits, previous infections (past COVID-19 tuberculosis), and treatments; (iii) the differences in LUS between sexes. Methods: We collected the data of 155 (15 early and 140 late) RA patients with mild respiratory symptoms, evaluating PLUS and PAUS, in fourteen lung areas and also summing the scores (LUS-T). Results: Only 13/155 (8.4%) were completely negative; LUS correlated to age (all parameters p 0.0001), rheumatoid factor IgM (PLUS p 0.0006, PAUS p 0.02, LUS-T p 0.001) and ACPA (p 0.001, 0.006, 0.001, respectively), and PLUS also correlated to IL6 (p 0.02). The male gender was predictive of all LUS evaluations (p 0.001, 0.05, 0.001, respectively), which were higher than in women (p 0.001, 0.01, 0.001, respectively). Other potential risk factors were independent, except biological treatments, which showed a low predictivity to PLUS (p < 0.05). Conclusions: We can conclude that LUS is a useful technique in RA low respiratory symptoms and correlates with age, the most important RA biomarkers, and male sex.

Comparative Evaluation of Chest Ultrasonography and Computed Tomography as Predictors of Malignant Pleural Effusion: A Prospective Study.

Malignant pleural effusion (MPE) is a manifestation of advanced cancer that requires a prompt and accurate diagnosis. Ultrasonography (US) and computed tomography (CT) are valuable imaging techniques for evaluating pleural effusions; however, their relative predictive ability for a malignant origin remains debatable. This prospective study aimed to compare chest US with CT findings as predictors of malignancy in patients with undiagnosed exudative pleural effusion. Fifty-four adults with undiagnosed exudative pleural effusions underwent comprehensive clinical evaluation including chest US, CT, and histopathologic biopsy. Blinded radiologists evaluated the US and CT images for features suggestive of malignancy, based on predefined criteria. Diagnostic performance measures were calculated using histopathology as a reference standard. Of the 54 patients, 33 (61.1%) had MPEs confirmed on biopsy. No significant differences between US and CT were found in detecting parietal pleural abnormalities, lung lesions, chest wall invasion, or liver metastasis. US outperformed CT in identifying diaphragmatic pleural thickening ≥10 mm (33.3% vs. 6.1%, p < 0.001) and nodularity (45.5% vs. 3%, p < 0.001), whereas CT was superior for mediastinal thickening (48.5% vs. 15.2%, p = 0.002). For diagnosing MPE, diaphragmatic nodularity detected by US had 45.5% sensitivity and 100% specificity, whereas CT mediastinal thickening had 48.5% sensitivity and 90.5% specificity. Both US and CT demonstrate reasonable diagnostic performance for detecting MPE, with particular imaging findings favoring a malignant origin. US may be advantageous for evaluating diaphragmatic pleural involvement, whereas CT is more sensitive to mediastinal abnormalities.

Breast ultrasound: An opportunity to detect unsuspected pleural and pulmonary abnormalities.

While scanning women for breast US, is possible to observe changes in the appearance of the pleural line or in the most superficial portion of the lung. The objective of this single-center, prospective study was to determine the prevalence of a variety of pleural and pulmonary US findings during routine breast US. In this study, there were 200 women undergoing standard breast US examination. The presence of pleural and pulmonary abnormalities in these cases was recorded. Two off-site reviewers confirmed the presence of pleura and lung changes. There was no abnormal finding in 168 out of 200 cases (84%) while there were one or more abnormal findings in 32 cases (16%). Pleural effusion was observed in 0.5% of cases, thickening of the pleural line 5% of cases, irregularity of the pleural line in 6% of cases, increased number of vertical artifacts in 9% of cases, subpleural nodulations in 2% of cases, and lung consolidation in 0.5%. Pleural and lung changes are not uncommon during breast US. Operators performing breast US examinations should be aware of the possibility to identify unsuspected pleuro-pulmonary abnormalities.

Subclinical pleuro-pulmonary disease in patients with SLE: functional and radiological methods

Abstract Background Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease with highest prevalence of chest involvement; however, early detection of subclinical pleuropulmonary diseases may improve the quality of life and prognosis of patients. This study aimed to identify the subclinical pleuro-pulmonary involvement in SLE patients without respiratory symptoms. Methods A total of 228 patients diagnosed with SLE were recruited and subjected to high-resolution computed tomography (HRCT) chest, ultrasound (US) chest, and spirometry for further evaluation and finding of sub-clinical signs. Results Around 52.63% of patients had pulmonary involvement in HRCT, while in US, it was 73.68%. Ground glass opacity was observed in 31.58% of HRCT cases, and &gt; 1/3 of patients had pleural thickness in US. Spirometry showed that 26.32% of patients had small airway disease. SLE patients with subclinical lung involvement were significantly female and younger and had shorter disease duration, p &lt; 0.05 for all. SLE severity showed a significant negative correlation with lung function, and was positively correlated with pleural thickness and effusion, and pleural nodules in US finding. However, diaphragmatic excursion showed a negative correlation. Moreover, ground glass opacities, honey combing opacities, interlobular septal thickening, pleural thickness, and effusion in HRCT showed positive correlation with disease severity, p &lt; 0.001 for all, yet, the mosaic pattern showed a negative relationship. Conclusion The radiological assessments of SLE patients via HRCT and ultrasound unveiled prevalent findings such as ground glass opacities and pleural abnormalities. The severity of SLE correlated significantly with pulmonary function tests in a negative way, plus the positive correlation with lung opacities and pleural abnormalities.

Lung Ultrasound Findings in the Diagnosis of Transient Tachypnea of Newborn in Late Preterm and Term Neonates

Background: Transient tachypnea of the newborn (TTN) is a prevalent etiology of respiratory distress (RD) in neonates. The condition is a result of the accumulation of fetal lung fluid owing to defective processes responsible for its removal. However, differentiating TTN from various etiologies of RD may provide challenges. Lung ultrasound (LUS) has effectively been used to diagnose and differentiate infant RD. The objective of this research was to evaluate the ultrasonographic findings in the diagnosis of TTN in late preterm and full-term neonates.&#x0D; Methods: All neonates had been exposed to full taking of history, full clinical assessment, chest X-ray, routine laboratory tests, and LUS assessment was performed on 80 late preterm and full-term neonates diagnosed with TTN by clinical and radiological findings and performed on control group.&#x0D; Results: Among 80 neonates who were diagnosed to have TTN, double lung point sign (DLP) was present in 62 (77. 5 %), pleural line abnormalities had been observed in 80 (100%), alveolar interstitial syndrome (AIS) was observed in 68 (85.0%), while white lung was present only in 12 TTN cases (15%), and no pleural effusion was found in any of the patients. While these findings weren’t detected in the control group.&#x0D; Conclusion: LUS could be accurately and reliably used in the diagnosis and screening of TTN. Most common findings in TTN were pleural line abnormalities followed by AIS and DLP.

Frequency of atypical pulmonary manifestations of COVID-19 patients on chest CT-scan: a cross-sectional study

BackgroundChest CT is a crucial diagnostic tool in COVID-19 due to its high sensitivity. Typical chest CT findings such as reversed halo sign, vascular enlargement, and air-bronchogram are commonly recognized in the pandemic, but finding atypical signs is essential to diagnose. We aimed to investigate the prevalence of the atypical manifestations during the two months of 2022 and compare the results to studies conducted before its outbreak.MethodsThose patients with positive, positive RT-PCR tests were reevaluated to see if they met the inclusion and exclusion. Demographic information of patients, including age and sex, was recorded. The computed tomography (CT) examination was carried out using a 100-slice scanner (Philips Brilliance 6 CT Scanner). Two radiology specialists evaluated SARS-CoV-2 RT-PCR-positive patients for atypical pulmonary CT findings separately. The obtained data were evaluated using R software version 4.1.1.Results606 confirmed COVID-19 cases were included in this study based on inclusion and exclusion criteria during January and February 2022. 55% of patients were female, and the median age was 56 (IQR: 42, 69). More than half of the patients (59%) had atypical findings on their pulmonary CT examination. These findings showed that pleural abnormalities were the most frequent atypical finding. Among pleural abnormalities, pleural thickening was the most common (17%). The double halo sign represented the least frequent atypical sign (0.2%).ConclusionsAtypical findings were more prevalent in this study than its predecessors, while we acknowledge that other factors, such as study design and patient population, could have impacted it. The presence of atypical signs generally was not correlated with specific demographic groups, while some of these signs were more frequent in particular groups.

295 Artificial Intelligence Model to Identify Pleural Line Abnormalities in Lung Ultrasound

295 Artificial Intelligence Model to Identify Pleural Line Abnormalities in Lung Ultrasound

Ultrasonographic Presentation and Anatomic Distribution of Lung Involvement in Patients with Rheumatoid Arthritis.

Rheumatoid arthritis (RA) is a chronic auto-immune disease, typically affecting the joints, which can also present with lung involvement (pleuritis, interstitial lung disease, pulmonary nodules, etc.). Lung ultrasound (LUS) is an upcoming tool in the detection of these pulmonary manifestations. We performed a 72-window LUS in 75 patients presenting to the outpatient rheumatology clinic and describe the abnormalities (presence of B-lines (vertical comet-tail artefacts), pleural abnormalities, pleural effusions, and subpleural nodules) on lung ultrasound. We created a topological mapping of the number of B-lines per intercostal zone. We observed pleural effusions, pleural abnormalities, and pleural nodules in, respectively, 1.3%, 45.3%, and 14% of patients. There were 35 (46.7%) patients who had less than 5 B-lines, 15 (20%) patients who had between 5 and 10 B-lines, 11 (14.6%) between 10 and 20, 10 (13.3%) between 20 and 50, 1 (1.3%) between 50 and 100, and 3 (4%) of patients who had more than 100 B-lines. LUS in patients with RA shows an array of abnormalities ranging from interstitial syndromes to pleural abnormalities, subpleural nodules, and pleural effusions. Hotspots for the presence of B-lines are situated bilaterally in the posterior subscapular regions, as well as the anterior right mid-clavicular region.

The Performance of a Deep Learning-Based Automatic Measurement Model for Measuring the Cardiothoracic Ratio on Chest Radiographs.

Prior studies on models based on deep learning (DL) and measuring the cardiothoracic ratio (CTR) on chest radiographs have lacked rigorous agreement analyses with radiologists or reader tests. We validated the performance of a commercially available DL-based CTR measurement model with various thoracic pathologies, and performed agreement analyses with thoracic radiologists and reader tests using a probabilistic-based reference. This study included 160 posteroanterior view chest radiographs (no lung or pleural abnormalities, pneumothorax, pleural effusion, consolidation, and n = 40 in each category) to externally test a DL-based CTR measurement model. To assess the agreement between the model and experts, intraclass or interclass correlation coefficients (ICCs) were compared between the model and two thoracic radiologists. In the reader tests with a probabilistic-based reference standard (Dawid-Skene consensus), we compared diagnostic measures-including sensitivity and negative predictive value (NPV)-for cardiomegaly between the model and five other radiologists using the non-inferiority test. For the 160 chest radiographs, the model measured a median CTR of 0.521 (interquartile range, 0.446-0.59) and a mean CTR of 0.522 ± 0.095. The ICC between the two thoracic radiologists and between the model and two thoracic radiologists was not significantly different (0.972 versus 0.959, p = 0.192), even across various pathologies (all p-values > 0.05). The model showed non-inferior diagnostic performance, including sensitivity (96.3% versus 97.8%) and NPV (95.6% versus 97.4%) (p < 0.001 in both), compared with the radiologists for all 160 chest radiographs. However, it showed inferior sensitivity in chest radiographs with consolidation (95.5% versus 99.9%; p = 0.082) and NPV in chest radiographs with pleural effusion (92.9% versus 94.6%; p = 0.079) and consolidation (94.1% versus 98.7%; p = 0.173). While the sensitivity and NPV of this model for diagnosing cardiomegaly in chest radiographs with consolidation or pleural effusion were not as high as those of the radiologists, it demonstrated good agreement with the thoracic radiologists in measuring the CTR across various pathologies.

Lung Ultrasound in Diagnosis of Interstitial Lung Disease.

Interstitial lung disease denotes a group of disorders which mainly affects pulmonary interstitium consisting of connective tissue fibers that support the lungs. High-resolution computed tomography is currently the main imaging modality of diagnosis, however except for few major cities in the country, availability of computed tomography scan facility is sparse in remote areas; thus relevant use of lung ultrasound in patients with suspected interstitial lung disease could be rewarding. A single center cross-sectional clinical diagnostic study was carried out at department of Radiology and Imaging, Patan Academy of Health Sciences after approval from institutional review committee. Lung ultrasound was done prior to patients undergoing high-resolution computed tomography chest. Senstivity, specificity, positive predictive value , negative predictive value , and accuracy of different echographic criteria-positive chest area score, total B lines score 5 and total B lines score 10 were calculated. Association of non-homogeneity of B lines and pleural line abnormalities with presence of interstitial lung disease, and association between B3 and B7 lines with alveolar and interstitial pattern were derived. Sensitivity (97.4%) and negative predictive value (97.9%) of total B lines score 5 was the highest. Maximum specificity (70.7%), PPV (61.4%) and accuracy (77.2%) was ofpositive chest area score. Pleural line abnormalities showed highly significant association with interstitial lung disease(p=0.003). B3 and B7 lines illustrated very highly significant association with alveolar and interstitial pattern respectively (p<0.001). Lung ultrasound can be a valid and reliable additional imaging method in evaluation of ILD in appropriate clinical scenario.

Pulmonary Point-of-Care Ultrasonography in the Intensive Care Unit

Pulmonary point-of-care ultrasonography (POCUS) is a quick and essential tool in the diagnosis of various pulmonary pathologies. Pulmonary POCUS can aid in the detection of pneumothorax, pleural effusion, pulmonary edema, and pneumonia, with sensitivity and specificity comparable, if not superior, to those of chest radiograph and chest computed tomography. Knowledge of anatomy and scanning of both lungs in multiple positions is essential for effective pulmonary POCUS. In addition to identifying pertinent anatomic structures such as the diaphragm, liver, spleen, and pleura and identifying specific ultrasonography findings such as A-lines, B-lines, lung sliding, and dynamic air bronchograms, POCUS helps detect pleural and parenchymal abnormalities. Proficiency in pulmonary POCUS is an attainable and essential skill in the care and management of the critically ill patient.

Development and interobserver reliability of a rating scale for lung ultrasound pathology in lower respiratory tract infection

ObjectivesThe purpose of this study was to develop a severity rating scale for lung ultrasound pathology in lower respiratory tract infection based on multicenter expert consensus, and to test inter-rater reliability. MethodsTen point-of-care ultrasound experts from three academic institutions developed the scale iteratively through literature review, expert opinion, and pilot testing. Clips were prospectively collected from adults suspected of COVID-19 using a 14-zone scanning protocol. Blinded reviewers independently rated four data subsets. The rating scale was refined through eight consensus-building discussions reviewing challenging cases from the first three subsets. The final scale consisted of a set of ordinal scores from 0 to 4, for five sonographic findings: B-lines, pleural line abnormalities, consolidations, pleural effusions, and overall lung aeration. Ratings from the fourth subset were analyzed to determine reliability based on intraclass correlation coefficient (ICC). A total of 11,126 cine clips from 220 patients were acquired. DiscussionAfter excluding uninterpretable clips, the test dataset contained 81 clips and yielded an average ICC of 0.70 across the five sonographic findings (0.76 for B-lines, 0.52 for pleural line abnormalities, 0.71 for consolidations, 0.80 for pleural effusions, and 0.70 for overall lung aeration). Improvements in agreement were observed with each successive review session and dataset rating. ConclusionThe lung ultrasound severity scale established by multicenter expert consensus achieved moderate to good inter-rater reliability. The scale could be used clinically to standardize assessment of lower respiratory tract infection and in future studies to develop methods for automated interpretation of lung ultrasound pathology.

Different characteristics of pleural abnormalities on computed tomography between tuberculous and malignant pleural effusions

BackgroundComputed tomography (CT) is the mainstay imaging modality for suspected pleural malignancy. Tuberculous pleural effusion (TPE) can present with various pleural abnormalities. However, few studies have evaluated the different characteristics of pleural abnormalities on chest CT between TPE and malignant pleural effusion (MPE). MethodsPleural abnormalities on contrast-enhanced CT in 277 and 289 patients with confirmed TPE and MPE diagnoses, respectively, were retrospectively assessed and compared between the two groups. Discriminating factors and diagnostic performance for MPE were evaluated using multivariate analysis and receiver operating characteristic curves. ResultsFocal pleural thickening was present in 44 (16%) cases of TPEs and 202 (70%) of MPEs. Further characterization of focal pleural thickening showed that MPEs had a significantly greater number, larger maximal thickness, and more nodular contour form, compared to TPEs. On the other hand, diffuse and circumferential pleural thickening were significantly more common in TPEs. In multivariate analysis, independent predictors for MPE included focally thickened pleurae ≥7, maximum thickness ≥6 mm, nodular contour pattern, and the absence of diffuse pleural thickening. Out of all the individual or combined predictors for MPE, the presence of any one of the three sub-parameters of focal pleural thickening provided the best diagnostic yield with 66% sensitivity and 92% specificity. ConclusionAlthough focal pleural thickening in TPE mimics that in MPE, the features of MPE are significantly different from those of TPE in terms of size, number, and contour. These different characteristics may help differentiate MPE from TPE in patients with suspected MPE.

Lung Ultrasound in the Evaluation of Lung Disease Severity in Children with Clinically Stable Cystic Fibrosis: A Prospective Cross-Sectional Study.

With the increasing longevity of cystic fibrosis (CF), there is a growing need to minimise exposure to ionising radiation in patients who undergo regular imaging tests while monitoring the course of the lung disease. This study aimed to define the role of lung ultrasounds (LUS) in the evaluation of lung disease severity in children with clinically stable CF. LUS was performed on 131 patients aged 5 weeks to 18 years (study group) and in 32 healthy children of an equivalent age range (control group). Additionally, an interobserver study was performed on 38 patients from the study group. In CF patients, the following ultrasound signs were identified: I-lines; Z-lines; single, numerous and confluent B-lines; Am-lines; small and major consolidations; pleural line abnormalities and small amounts of pleural fluid. The obtained results were evaluated against an original ultrasound score. LUS results were correlated with the results of chest X-ray (CXR) [very high], pulmonary function tests (PFTs) [high] and microbiological status [significant]. The interobserver study showed very good agreement between investigators. We conclude that LUS is a useful test in the evaluation of CF lung disease severity compared to routinely used methods. With appropriate standardisation, LUS is highly reproducible.

Radiographic airway abnormalities in untreated early rheumatoid arthritis are associated with peripheral neutrophil activation

BackgroundThe role of the lung for the initiation and progression of rheumatoid arthritis (RA) is still unclear. Up to 10% of RA patients develop interstitial lung disease which remains a clinical challenge. Understanding early disease mechanisms is of great importance. The objective of this study was to determine whether there is an association between peripheral neutrophil phenotypes and presence of pulmonary abnormalities (PA) on chest high-resolution computed tomography (HRCT) in untreated early RA (ueRA).MethodsClinical data and blood were collected, and HRCT performed at diagnosis on 30 consecutive anti-citrullinated protein antibody (ACPA) and/or rheumatoid factor (RF) positive ueRA patients. HRCTs were evaluated for the presence of RA-associated parenchymal, airway and/or pleural abnormalities. Expression of phenotype markers on neutrophils were determined by flow cytometry. Levels of calprotectin, ACPA and RF were measured using immunoassays.ResultsThe frequency of having any PA was 60%. Airway abnormalities were present in 50%, parenchymal nodules in 43% and interstitial lung abnormalities (ILA) in 10%. Unsupervised multivariate data analysis showed clustering of any PA with neutrophil activation, parameters of inflammation and RF titres. In univariate analysis, the patients with PA displayed significantly increased CD11b and decreased CD62L expression on neutrophils (1.2-fold, p = 0.014; 0.8-fold, p = 0.012) indicating activation and significantly increased RF IgM titre and CRP (5.7-fold, p = 0.0025; 2.3-fold, p = 0.0035) as compared to no PA. Titres of RF, but not ACPA, correlated with expression of the neutrophil activation marker CD11b. A stratified analysis demonstrated that airway involvement was the PA subtype with the strongest association with neutrophil activation.ConclusionWe report a strong association between radiographic airway findings and activation of circulating neutrophils in early RA supporting a role of innate immunity and the lung at disease onset. Our results also indicate different contributions of RF and ACPA in the RA pathogenesis.

Monitoring of pulmonary involvement in critically ill COVID-19 patients - should lung ultrasound be preferred over CT?

BackgroundIt is unclear if relevant changes in pulmonary involvement in critically ill COVID-19 patients can be reliably detected by the CT severity score (CTSS) and lung ultrasound score (LUSS), or if these changes have prognostic implications. In addition, it has been argued that adding pleural abnormalities to the LUSS could improve its prognostic value. The objective of this study was to compare LUSS and CTSS for the monitoring of COVID-19 pulmonary involvement through: first, establishing the correlation of LUSS (± pleural abnormalities) and CTSS throughout admission; second, assessing agreement and measurement error between raters for LUSS, pleural abnormalities, and CTSS; third, evaluating the association of the LUSS (± pleural abnormalities) and CTSS with mortality at different timepoints.MethodsThis is a prospective, observational study, conducted during the second COVID-19 wave at the AmsterdamUMC, location VUmc. Adult COVID-19 ICU patients were prospectively included when a CT or a 12-zone LUS was performed at admission or at weekly intervals according to local protocol. Patients were followed 90 days or until death. We calculated the: (1) Correlation of the LUSS (± pleural abnormalities) and CTSS throughout admission with mixed models; (2) Intra-class correlation coefficients (ICCs) and smallest detectable changes (SDCs) between raters; (3) Association between the LUSS (± pleural abnormalities) and CTSS with mixed models.Results82 consecutive patients were included. Correlation between LUSS and CTSS was 0.45 (95% CI 0.31–0.59). ICCs for LUSS, pleural abnormalities, and CTSS were 0.88 (95% CI 0.73–0.95), 0.94 (95% CI 0.90–0.96), and 0.84 (95% CI 0.65–0.93), with SDCs of 4.8, 1.4, and 3.9. The LUSS was associated with mortality in week 2, with a score difference between patients who survived or died greater than its SDC. Addition of pleural abnormalities was not beneficial. The CTSS was associated with mortality only in week 1, but with a score difference less than its SDC.ConclusionsLUSS correlated with CTSS throughout ICU admission but performed similar or better at agreement between raters and mortality prognostication. Given the benefits of LUS over CT, it should be preferred as initial monitoring tool.

Emergency Department Point-of-Care Echocardiography and Lung Ultrasound in Predicting COVID-19 Severity.

We sought to determine if point-of-care ultrasound (POCUS) performed on patients with COVID-19 in the emergency department (ED) can help predict disease course, severity, or identify complications. This was a retrospective cohort study of adult ED patients who tested positive for COVID-19 at hospital admission or within 2 weeks of presentation and received heart or lung POCUS. Clips were reviewed for presence of decreased left ventricular ejection fraction (LVEF), right ventricular dilation, presence of B-lines, and pleural line abnormalities. Patients with worsening hypoxemic respiratory failure or shock requiring higher level of care and patients who expired were considered to have developed severe COVID-19. Regression analysis was performed to determine if there was a correlation between ED POCUS findings and development of severe COVID-19. A total of 155 patients met study criteria; 148 patients had documented cardiac views and 116 patients had documented lung views (113 with both). Mean age was 66.5 years old (±18.6) and 53% of subjects were female. Subjects with decreased LVEF that was not previously documented had increased odds of having severe COVID during their hospitalization compared to those with old or no dysfunction (OR 5.66, 95% CI: 1.55-19.95, P=.08). The presence of pleural line abnormalities was also predictive for development of severe COVID (OR 2.68, 95% CI: 1.04-6.92, P=.04). POCUS findings of previously unidentified decreased LVEF and pleural line abnormalities in patients with COVID-19 evaluated in the ED were correlated to a more severe clinical course and worse prognosis.

A Systematic Review of Chest Imaging Findings in Long COVID Patients.

Long COVID is the persistence of one or more COVID-19 symptoms after the initial viral infection, and there is evidence supporting its association with lung damage. In this systematic review, we provide an overview of lung imaging and its findings in long COVID patients. A PubMed search was performed on 29 September 2021, for English language studies in which lung imaging was performed in adults suffering from long COVID. Two independent researchers extracted the data. Our search identified 3130 articles, of which 31, representing the imaging findings of 342 long COVID patients, were retained. The most common imaging modality used was computed tomography (CT) (N = 249). A total of 29 different imaging findings were reported, which were broadly categorized into interstitial (fibrotic), pleural, airway, and other parenchymal abnormalities. A direct comparison between cases, in terms of residual lesions, was available for 148 patients, of whom 66 (44.6%) had normal CT findings. Although respiratory symptoms belong to the most common symptoms in long COVID patients, this is not necessarily linked to radiologically detectable lung damage. Therefore, more research is needed on the role of the various types of lung (and other organ) damage which may or may not occur in long COVID.