Chest radiograph findings in children with COVID-19-A retrospective analysis from a tertiary care paediatric hospital in South India.

OBJECTIVE: The primary aim of this study is to document the chest X-ray findings in children with COVID-19 pneumonia. The secondary aim is to correlate chest X-ray findings to patient outcome. METHODS: We performed a retrospective analysis of children (0-18 years) with SARS-CoV-2 admitted to our hospital from June 2020 to December 2021. The chest radiographs were assessed for: peribronchial cuffing, ground-glass opacities (GGOs), consolidation, pulmonary nodules and pleural effusion. The severity of the pulmonary findings was graded using a modification of the Brixia score. RESULTS: There were a total of 90 patients with SARS-CoV-2 infection; the mean age was 5.8 years (age range 7 days to 17 years). Abnormalities were seen on the CXR in 74 (82%) of the 90 patients. Bilateral peribronchial cuffing was seen in 68% (61/90), consolidation in 11% (10/90), bilateral central GGOs in 2% (2/90) and unilateral pleural effusion in 1% (1/90). Overall the average CXR score in our cohort of patients was 6. The average CXR score in patients with oxygen requirement was 10. The duration of hospital stay was significantly longer in those patients with CXR score >9. CONCLUSION: The CXR score has the potential to serve as tool to identify children at high risk and may aid planning of clinical management in such patients.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) created a global pandemic in early March 2020. There are very few studies describing the lung changes in affected children. We performed a retrospective study in children, aged between 0 days and 18 years, who tested positive for this virus. This study was conducted in a paediatric tertiary care hospital in South India. Chest X-ray (CXR) was done in children with moderate and severe SARS-CoV-2 infection; these X-rays were reviewed and scoring was done to assess the degree of abnormality. It was seen that the duration of hospital stay was longer in children with a high CXR score. Amongst the children with score >9, 60% needed oxygen support during their treatment. Thus, CXR score can play a role in the prediction of disease outcome in SARS-CoV-2 infection.

Thrombocytosis, haemorrhagic pleural effusion and fibro-infiltrative patches with cavitary lung lesions in a child with COVID-19 pneumonia.

COVID-19 infection in children is relatively mild and is associated with fewer complications compared with adults. Here we report the case of a previously healthy preteen girl who presented with active COVID-19 and shock. On day 1, ultrasound of the thorax revealed a right-sided pleural effusion with haemorrhagic pus on diagnostic tap, which improved clinically with appropriate hospital treatment. Even at discharge, the chest X-ray barely changed, indicating a fibrotic area and a collapsed lung. The patient had persistent thrombocytosis, her inflammatory markers (C reactive protein, ESR, interleukin 6, serum ferritin, D-dimer and procalcitonin) were elevated, and a high-resolution CT scan of the thorax at discharge revealed fibro-infiltrative patches with cavitary lesions in COVID-19 pneumonia, which are unusual findings. The patient was discharged on clinical improvement and was doing fine on follow-up after 2 weeks.

Chest CT Characteristics are Strongly Predictive of Mortality in Patients with COVID-19 Pneumonia: A Multicentric Cohort Study.

RATIONALE AND OBJECTIVES: The novel coronavirus (COVID-19) has presented a significant and urgent threat to global health and there has been a need to identify prognostic factors in COVID-19 patients. The aim of this study was to determine whether chest computed tomography (CT) characteristics had any prognostic value in patients with COVID-19. MATERIALS AND METHODS: A retrospective analysis of COVID-19 patients who underwent a chest CT-scan was performed in four medical centers. The prognostic value of chest CT results was assessed using a multivariable survival analysis with the Cox model. The characteristics included in the model were the degree of lung involvement, ground glass opacities, nodular consolidations, linear consolidations, a peripheral topography, a predominantly inferior lung involvement, pleural effusion, and crazy paving. The model was also adjusted on age, sex, and the center in which the patient was hospitalized. The primary endpoint was 30-day in-hospital mortality. A second model used a composite endpoint of admission to an intensive care unit or 30-day in-hospital mortality. RESULTS: A total of 515 patients with available follow-up information were included. Advanced age, a degree of pulmonary involvement ≥50% (Hazard Ratio 2.25 [95% CI: 1.378-3.671], p = 0.001), nodular consolidations and pleural effusions were associated with lower 30-day in-hospital survival rates. An exploratory subgroup analysis showed a 60.6% mortality rate in patients over 75 with ≥50% lung involvement on a CT-scan. CONCLUSION: Chest CT findings such as the percentage of pulmonary involvement ≥50%, pleural effusion and nodular consolidation were strongly associated with 30-day mortality in COVID-19 patients. CT examinations are essential for the assessment of severe COVID-19 patients and their results must be considered when making care management decisions.

Chest X-Ray Findings in COVID-19 Patients Presenting to Primary Care during the Peak of the First Wave of the Pandemic in Qatar: Their Association with Clinical and Laboratory Findings.

When managing coronavirus disease 2019 (COVID-19) patients, radiological imaging complements clinical evaluation and laboratory parameters. We aimed to assess the sensitivity of chest radiography findings in detecting COVID-19, describe those findings, and assess the association of positive chest radiography findings with clinical and laboratory findings. A multicentre, cross-sectional study was conducted involving all primary health care corporation-registered patients (2485 patients) enrolled over a 1-month period during the peak of the 2020 pandemic wave in Qatar. These patients had reverse transcription-polymerase chain reaction-confirmed COVID-19 and underwent chest radiography within 72 hours of the swab test. A positive result on reverse transcription-polymerase chain reaction was the gold standard for diagnosing COVID-19. The sensitivity of chest radiography was calculated. The airspace opacities were mostly distributed in the peripheral and lower lung zones, and most of the patients had bilateral involvement. Pleural effusion was detected in some cases. The risk of having positive chest X-ray findings increased with age, Southeast Asian nationality, fever, or a history of fever and diarrhoea. Patients with cardiac disease, obesity, hypertension, diabetes, and chronic kidney disease were at a higher risk of having positive chest X-ray findings. There was a statistically significant increase in the mean serum albumin, white blood cell count, neutrophil count, and serum C-reactive protein, hepatic enzymes, and total bilirubin with an increase in the radiographic severity score.

Computed tomography features of COVID-19 in children: A systematic review and meta-analysis.

BACKGROUND: There are few reports on the chest computed tomography (CT) imaging features of children with coronavirus disease 2019 (COVID-19), and most reports involve small sample sizes. OBJECTIVES: To systematically analyze the chest CT imaging features of children with COVID-19 and provide references for clinical practice. DATA SOURCES: We searched PubMed, Web of Science, and Embase; data published by Johns Hopkins University; and Chinese databases CNKI, Wanfang, and Chongqing Weipu. METHODS: Reports on chest CT imaging features of children with COVID-19 from January 1, 2020 to August 10, 2020, were analyzed retrospectively and a meta-analysis carried out using Stata12.0 software. RESULTS: Thirty-seven articles (1747 children) were included in this study. The heterogeneity of meta-analysis results ranged from 0% to 90.5%. The overall rate of abnormal lung CT findings was 63.2% (95% confidence interval [CI]: 55.8%-70.6%), with a rate of 61.0% (95% CI: 50.8%-71.2%) in China and 67.8% (95% CI: 57.1%-78.4%) in the rest of the world in the subgroup analysis. The incidence of ground-glass opacities was 39.5% (95% CI: 30.7%-48.3%), multiple lung lobe lesions was 65.1% (95% CI: 55.1%-67.9%), and bilateral lung lesions was 61.5% (95% CI: 58.8%-72.2%). Other imaging features included nodules (25.7%), patchy shadows (36.8%), halo sign (24.8%), consolidation (24.1%), air bronchogram signs (11.2%), cord-like shadows (9.7%), crazy-paving pattern (6.1%), and pleural effusion (9.1%). Two articles reported 3 cases of white lung, another reported 2 cases of pneumothorax, and another 1 case of bullae. CONCLUSIONS: The lung CT results of children with COVID-19 are usually normal or slightly atypical. The lung lesions of COVID-19 pediatric patients mostly involve both lungs or multiple lobes, and the common manifestations are patchy shadows, ground-glass opacities, consolidation, partial air bronchogram signs, nodules, and halo signs; white lung, pleural effusion, and paving stone signs are rare. Therefore, chest CT has limited value as a screening tool for children with COVID-19 and can only be used as an auxiliary assessment tool.

Cardiac tamponade and massive pleural effusion in a young COVID-19-positive adult.

COVID-19 has a broad spectrum of cardiac manifestations, and cardiac tamponade leading to cardiogenic shock is a rare presentation. A 30-year-old man with a history of COVID-19-positive, reverse transcription polymerase chain reaction (RT-PCR) done 1 week ago and who was home-quarantined, came to the emergency department with palpitations, breathlessness and orthopnoea. His ECG showed sinus tachycardia with low-voltage complexes, chest X-ray showed cardiomegaly and left pleural effusion and two-dimensional echocardiography showed large pericardial effusion with features suggestive of cardiac tamponade. He was taken up for emergency pericardiocentesis which showed haemorrhagic pericardial fluid. Intercostal drainage insertion was done for left-sided large pleural effusion. After ruling out all the other causes for haemorrhagic pericardial effusion, the patient was started on colchicine, steroids, ibuprofen and antibiotics to which he responded. Both pericardial and pleural effusions resolved completely on follow-up.

Tension hydrothorax in a patient with SARS-CoV-2 pneumonitis and pleural Mycobacterium tuberculosis.

Unilateral pleural effusions are uncommonly reported in patients with SARS-CoV-2 pneumonitis. Herein, we report a case of a 42-year-old woman who presented to hospital with worsening dyspnoea on a background of a 2-week history of typical SARS-CoV-2 symptoms. On admission to the emergency department, the patient was severely hypoxic and hypotensive. A chest radiograph demonstrated a large left-sided pleural effusion with associated contralateral mediastinal shift (tension hydrothorax) and typical SARS-CoV-2 changes within the right lung. She was treated with thoracocentesis in which 2 L of serosanguinous, lymphocyte-rich fluid was drained from the left lung pleura. Following incubation, the pleural aspirate sample tested positive for Mycobacterium tuberculosis This case demonstrates the need to exclude non-SARS-CoV-2-related causes of pleural effusions, particularly when patients present in an atypical manner, that is, with tension hydrothorax. Given the non-specific symptomatology of SARS-CoV-2 pneumonitis, this case illustrates the importance of excluding other causes of respiratory distress.

Pattern and Age Distribution of COVID-19 on Pulmonary Computed Tomography.

BACKGROUND: COVID-19 has emerged recently and has become a global concern. Computed tomography (CT) plays a vital role in the diagnosis. OBJECTIVES: To characterize the pulmonary CT findings and distributions of COVID-19 infection in regard to different age groups. METHODS: Chest CT scan of 104 symptomatic patients with COVID-19 infection from 7 Iraqi isolation centers were retrospectively analyzed between March 10th to April 5th, 2020. Patients were sub-classified according to their ages into three groups (young adult:20-39 years, middle age:40-59 years, and old age:60-90 years). RESULTS: The most common findings were ground-glass opacities (GGO) (92.3%, followed by consolidation (27.9%), bronchovascular thickening (15.4%), and crazy-paving (12.5%). Less commonly, there were tree-in-bud (6.7%), pulmonary nodules (5.8%), bronchiectasis (3.8%), pleural effusion (1.9%), and cavitation (1%). There were no hallo signs, reversed hallo signs, and mediastinal lymphadenopathy. Pulmonary changes were unilateral in 16.7% and bilateral in 83.3%, central in 14.6%, peripheral in 57.3%, and diffuse (central and peripheral) in 28.1%. Most cases showed multi- lobar changes (70.8%), while the lower lobe was more commonly involved (17.7%) than the middle lobe/lingula (8.3%) and upper lobe (3.1%). In unilateral involvement, changes were more on the right (68.8%) than the left (31.2%) side. Compared with middle and old age groups, young adult patients showed significantly lesser frequency of consolidation (17% vs. 13.3% and 37%), diffuse changes 28.1% (14.2% vs. 35.3% and 40.5%), bilateral disease (71.4% vs. 94.1% and 85.2%), and multi-lobar involvement (51.4% vs. 82.4% and 81.4%) respectively. CONCLUSION: Bilateral and peripheral GGO were the most frequent findings with the right and lower lobar predilection. The pattern and the distribution of CT changes seem to be age-specific.

[CME Sonography 98/Answers: Chest Ultrasound]. / CME-Sonografie 98/Antworten: Thoraxsonografie.

CME Sonography 98/Answers: Chest Ultrasound Abstract. Chest sonography has long been an important part of ultrasound diagnostics. Historically, the first evidence found in chest sonography were pleural effusions. Peripheral consolidations (pneumonia, tumors, pulmonary embolism) and pneumothorax were added later. The COVID-19 pandemic with often massive lung infestation has significantly increased the interest in thoracic sonography. The partially specific changes caused by COVID-19 are presented in this article.

[CME Sonography 98: Chest Ultrasound]. / CME-Sonografie 98: Thoraxsonografie.

CME Sonography 98: Chest Ultrasound Abstract. Chest sonography has long been an important part of ultrasound diagnostics. Historically, the first evidence found in chest sonography were pleural effusions. Peripheral consolidations (pneumonia, tumors, pulmonary embolism) and pneumothorax were added later. The COVID-19 pandemic with often massive lung infestation has significantly increased the interest in thoracic sonography. The partially specific changes caused by COVID-19 are presented in this article.

Use of post-mortem chest computed tomography in Covid-19 pneumonia.

BACKGROUND AND AIM: COVID-19 is an extremely challenging disease, both from a clinical and forensic point of view, and performing autopsies of COVID-19 deceased requires adequately equipped sectorial rooms and exposes health professionals to the risk of contagion. Among one of the categories that are most affected by SARS-Cov-2 infection are the elderly residents. Despite the need for prompt diagnoses, which are essential to implement all isolation measures necessary to contain the infection spread, deceased subjects in long-term care facilities are still are often diagnosed post-mortem. In this context, our study focuses on the use of post-mortem computed tomography for the diagnosis of COVID-19 infection, in conjunction with post-mortem swabs. The aim of this study was to assess the usefulness of post-mortem whole CT-scanning in identifying COVID-19 pneumonia as a cause of death, by comparing chest CT-findings of confirmed COVID-19 fatalities to control cases. MATERIALS AND METHODS: The study included 24 deceased subjects: 13 subjects coming from long-term care facility and 11 subjects died at home. Whole body CT scans were performed within 48 h from death in all subjects to evaluate the presence and distribution of pulmonary abnormalities typical of COVID-19-pneumonia, including: ground-glass opacities (GGO), consolidation, and pleural effusion to confirm the post-mortem diagnosis. RESULTS: Whole-body CT scans was feasible and allowed a complete diagnosis in all subjects. In 9 (69%) of the 13 cases from long-term care facility the cause of death was severe COVID 19 pneumonia, while GGO were present in 100% of the study population. CONCLUSION: In the context of rapidly escalating COVID-19 outbreaks, given that laboratory tests for the novel coronavirus is time-consuming and can be falsely negative, the post-mortem CT can be considered as a reliable and safe modality to confirm COVID-19 pneumonia. This is especially true for specific postmortem chest CT-findings that are rather characteristic of COVID-19 fatalities.

[Ultrasound in the management of the critically ill patient with SARS-CoV-2 infection (COVID-19): narrative review]. / Ecografía en el manejo del paciente crítico con infección por SARS-CoV-2 (COVID-19): una revisión narrativa.

The clinical picture of SARS-CoV-2 infection (COVID-19) is characterized in its more severe form, by an acute respiratory failure which can worsen to pneumonia and acute respiratory distress syndrome (ARDS) and get complicated with thrombotic events and heart dysfunction. Therefore, admission to the Intensive Care Unit (ICU) is common. Ultrasound, which has become an everyday tool in the ICU, can be very useful during COVID-19 pandemic, since it provides the clinician with information which can be interpreted and integrated within a global assessment during the physical examination. A description of some of the potential applications of ultrasound is depicted in this document, in order to supply the physicians taking care of these patients with an adapted guide to the intensive care setting. Some of its applications since ICU admission include verification of the correct position of the endotracheal tube, contribution to safe cannulation of lines, and identification of complications and thrombotic events. Furthermore, pleural and lung ultrasound can be an alternative diagnostic test to assess the degree of involvement of the lung parenchyma by means of the evaluation of specific ultrasound patterns, identification of pleural effusions and barotrauma. Echocardiography provides information of heart involvement, detects cor pulmonale and shock states.

Trying to Survive A Serious Heart Condition in Time of COVID-19.

The world has suffered over the past year under COVID-19. Unfortunately, people still are getting sick from other, also severe, diseases. Although the COVID-19 infection is present, patients need treatment for other life-threatening conditions. We present the case of a 36-year-old patient with severe infective endocarditis with a large abscess of the aortic root, who also is COVID-19 positive. Definitive diagnostics and treatment were avoided due to COVID-19 infection. In the end, emergent surgery was indicated due to acute cardiac decompensation and the development of heart failure symptoms, and the patient recovered uneventfully after surgery.

Automatic deep learning-based pleural effusion classification in lung ultrasound images for respiratory pathology diagnosis.

Lung ultrasound (LUS) imaging as a point-of-care diagnostic tool for lung pathologies has been proven superior to X-ray and comparable to CT, enabling earlier and more accurate diagnosis in real-time at the patient's bedside. The main limitation to widespread use is its dependence on the operator training and experience. COVID-19 lung ultrasound findings predominantly reflect a pneumonitis pattern, with pleural effusion being infrequent. However, pleural effusion is easy to detect and to quantify, therefore it was selected as the subject of this study, which aims to develop an automated system for the interpretation of LUS of pleural effusion. A LUS dataset was collected at the Royal Melbourne Hospital which consisted of 623 videos containing 99,209 2D ultrasound images of 70 patients using a phased array transducer. A standardized protocol was followed that involved scanning six anatomical regions providing complete coverage of the lungs for diagnosis of respiratory pathology. This protocol combined with a deep learning algorithm using a Spatial Transformer Network provides a basis for automatic pathology classification on an image-based level. In this work, the deep learning model was trained using supervised and weakly supervised approaches which used frame- and video-based ground truth labels respectively. The reference was expert clinician image interpretation. Both approaches show comparable accuracy scores on the test set of 92.4% and 91.1%, respectively, not statistically significantly different. However, the video-based labelling approach requires significantly less effort from clinical experts for ground truth labelling.

New Mexico's COVID-19 Experience.

ABSTRACT: The 2019 novel coronavirus disease (COVID-19) has spread worldwide, infiltrating, infecting, and devastating communities in all locations of varying demographics. An overwhelming majority of published literature on the pathologic findings associated with COVID-19 is either from living clinical cohorts or from autopsy findings of those who died in a medical care setting, which can confound pure disease pathology. A relatively low initial infection rate paired with a high biosafety level enabled the New Mexico Office of the Medical Investigator to conduct full autopsy examinations on suspected COVID-19-related deaths. Full autopsy examination on the first 20 severe acute respiratory syndrome coronavirus 2-positive decedents revealed that some extent of diffuse alveolar damage in every death due to COVID-19 played some role. The average decedent was middle-aged, male, American Indian, and overweight with comorbidities that included diabetes, ethanolism, and atherosclerotic and/or hypertensive cardiovascular disease. Macroscopic thrombotic events were seen in 35% of cases consisting of pulmonary thromboemboli and coronary artery thrombi. In 2 cases, severe bacterial coinfections were seen in the lungs. Those determined to die with but not of severe acute respiratory syndrome coronavirus 2 infection had unremarkable lung findings.

Frequency and characterization of ancillary chest CT findings in COVID-19 pneumonia.

OBJECTIVES: Ground-glass opacity and consolidation are recognized typical features of Coronavirus disease-19 (COVID-19) pneumonia on Chest CT, yet ancillary findings have not been fully described. We aimed to describe ancillary findings of COVID-19 pneumonia on CT, to define their prevalence, and investigate their association with clinical data. METHODS: We retrospectively reviewed our CT chest cases with coupled reverse transcriptase polymerase chain reaction (rt-PCR). Patients with negative rt-PCR or without admission chest CT were excluded. Ancillary findings included: vessel enlargement, subpleural curvilinear lines, dependent subpleural atelectasis, centrilobular solid nodules, pleural and/or pericardial effusions, enlarged mediastinal lymph nodes. Continuous data were expressed as median and 95% confidence interval (95% CI) and tested by Mann-Whitney U test. RESULTS: Ancillary findings were represented by 106/252 (42.1%, 36.1 to 48.2) vessel enlargement, 50/252 (19.8%, 15.4 to 25.2) subpleural curvilinear lines, 26/252 (10.1%, 7.1 to 14.7) dependent subpleural atelectasis, 15/252 (5.9%, 3.6 to 9.6) pleural effusion, 15/252 (5.9%, 3.6 to 9.6) mediastinal lymph nodes enlargement, 13/252 (5.2%, 3 to 8.6) centrilobular solid nodules, and 6/252 (2.4%, 1.1 to 5.1) pericardial effusion. Air space disease was more extensive in patients with vessel enlargement or centrilobular solid nodules (p < 0.001). Vessel enlargement was associated with longer history of fever (p = 0.035) and lower admission oxygen saturation (p = 0.014); dependent subpleural atelectasis with lower oxygen saturation (p < 0.001) and higher respiratory rate (p < 0.001); mediastinal lymph nodes with shorter history of cough (p = 0.046); centrilobular solid nodules with lower prevalence of cough (p = 0.023), lower oxygen saturation (p < 0.001), and higher respiratory rate (p = 0.032), and pericardial effusion with shorter history of cough (p = 0.015). Ancillary findings associated with longer hospital stay were subpleural curvilinear lines (p = 0.02), whereas centrilobular solid nodules were associated with higher rate of intensive care unit admission (p = 0.01). CONCLUSION: Typical high-resolution CT findings of COVID-19 pneumonia are frequently associated with ancillary findings that variably associate with disease extent, clinical parameters, and disease severity. ADVANCES IN KNOWLEDGE: Ancillary findings might reflect the broad range of heterogeneous mechanisms in severe acute respiratory syndrome from viral pneumonia, and potentially help disease phenotyping.

Chest Radiograph (CXR) Manifestations of the Novel Coronavirus Disease 2019 (COVID-19): A Mini-review.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is highly contagious and has claimed more than one million lives, besides causing hardship and disruptions. The Fleischner Society has recommended chest X-ray (CXR) in detecting cases at high risk of disease progression, for triaging suspected patients with moderate-to-severe illness, and for eliminating false negatives in areas with high pre-test probability or limited resources. Although CXR is less sensitive than real-- time reverse transcription-polymerase chain reaction (RT-PCR) in detecting mild COVID-19, it is nevertheless useful because of equipment portability, low cost and practicality in serial assessments of disease progression among hospitalized patients. OBJECTIVE: This study aims to review the typical and relatively atypical CXR manifestations of COVID-19 pneumonia in a tertiary care hospital. METHODS: The CXRs of 136 COVID-19 patients confirmed through real-time RT-PCR from March to May 2020 were reviewed. A literature search was performed using PubMed. RESULTS: A total of 54 patients had abnormal CXR whilst the others were normal. Typical CXR findings included pulmonary consolidation or ground-glass opacities in a multifocal, bilateral peripheral, or lower zone distribution, whereas atypical CXR features comprised cavitation and pleural effusion. CONCLUSION: Typical findings of COVID-19 infection in chest computed tomography studies can also be seen in CXR. The presence of atypical features associated with worse disease outcome. Recognition of these features on CXR will improve the accuracy and speed of diagnosing COVID-19 patients.