Thelung ultrasound in children with SARS-COV 2 infection: a national multicenter prospective study (preprint)

Covid-19 causedhospitalizations, severe disease and deaths in any age, including in the youngest children. The aim of this multicenter national study is to characterize the clinical and the prognostic role of lung ultrasound (LUS) in children with Covid-19. We enrolled children between 1 month and 18 years of age diagnosed with SARS-CoV2 infection and whounderwenta lung ultrasound within 6 hours from firstmedical evaluation. A total of 213 children were enrolled, 51.6%were male, median age was2 years and 5 months (IQR 4mm- 11 yearsand4 months).One hundred and fortyeight (69.4%) children were admitted in hospital, 9 (6.1%) in pediatric intensive care unit.We found an inverse correlation between the LUS score and the oxygen saturationatthe clinical evaluation (r = − 0.16; p = 0.019). Moreover, LUS scores were significantly higher in patients requiring oxygen supplementation (8 (IQR 3–19) vs 2 (IQR 0–4); p = 0.001). Among LUS pathological findings, irregular pleural line, sub-pleural consolidations and pleural effusions were significantly more frequentin patients whoneeded oxygen supplementation (p = 0.007; p = 0.006 andp = 0.001, respectively). Conclusion: This multicentric study confirmed that LUS is able to detect Covid-19 low respiratory tract involvement, which is characterized by pleural line irregularities, vertical artifacts and subpleural consolidations. Notably, children with higher LUS score have an higher risk of hospitalization or need for oxygen supplementation, supporting LUS as a valid and safe point-of-care first level tool for the clinical evaluation of children with Covid-19.

Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning (preprint)

Purpose: Limited studies exploring concrete methods or approaches to tackle and enhance model fairness in the radiology domain. Our proposed AI model utilizes supervised contrastive learning to minimize bias in CXR diagnosis. Materials and Methods: In this retrospective study, we evaluated our proposed method on two datasets: the Medical Imaging and Data Resource Center (MIDRC) dataset with 77,887 CXR images from 27,796 patients collected as of April 20, 2023 for COVID-19 diagnosis, and the NIH Chest X-ray (NIH-CXR) dataset with 112,120 CXR images from 30,805 patients collected between 1992 and 2015. In the NIH-CXR dataset, thoracic abnormalities include atelectasis, cardiomegaly, effusion, infiltration, mass, nodule, pneumonia, pneumothorax, consolidation, edema, emphysema, fibrosis, pleural thickening, or hernia. Our proposed method utilizes supervised contrastive learning with carefully selected positive and negative samples to generate fair image embeddings, which are fine-tuned for subsequent tasks to reduce bias in chest X-ray (CXR) diagnosis. We evaluated the methods using the marginal AUC difference ($\delta$ mAUC). Results: The proposed model showed a significant decrease in bias across all subgroups when compared to the baseline models, as evidenced by a paired T-test (p<0.0001). The $\delta$ mAUC obtained by our method were 0.0116 (95\% CI, 0.0110-0.0123), 0.2102 (95% CI, 0.2087-0.2118), and 0.1000 (95\% CI, 0.0988-0.1011) for sex, race, and age on MIDRC, and 0.0090 (95\% CI, 0.0082-0.0097) for sex and 0.0512 (95% CI, 0.0512-0.0532) for age on NIH-CXR, respectively. Conclusion: Employing supervised contrastive learning can mitigate bias in CXR diagnosis, addressing concerns of fairness and reliability in deep learning-based diagnostic methods.

Fungal pleural infection due to Microascus gracilis with pulmonary aspergillosis after COVID-19 pneumonia (preprint)

Background: Scopulariopsis/Microascus is a rare but devastating pathogen due to its intrinsic resistance to nearly all available antifungal agents. Microascus gracilis, an ascomycetous mould in the order Microascales, family Microascaceae, has recently emerged as a significant invasive pathogen causing opportunistic infections. Objectives and Methods: We present a case of pleural infection caused by M. gracilis with pulmonary aspergillosis in an immunocompromised man after COVID-19 pneumonia. To further understand the characteristics of the pathogen isolated from the patient, we identified the strain through mycological characteristics, matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MALDI-TOF MS) and internal transcribed spacer (ITS)-based sequencing, and performed in vitro drug susceptibility testing against common antifungal agents. Moreover, we assessed lymphocyte subsets and programmed cell death protein 1 (PD-1) expression in peripheral blood and pleural effusion to monitor the efficacy of therapy with thymosin-α-1 and intravenous immunoglobulin. Results: Filamentous fungi isolated from pleural fluid were identified as M. gracilis based on classical morphology, mass spectrometry and molecular biology methods. The susceptibility results in vitro revealed that multiple antifungal agents were inactive against the strain. Adjuvant immunomodulatory treatment successfully increased the levels of CD3+ T and CD4+ T cells while decreasing the levels of CD3+PD-1+ and CD4+PD-1+ T cells in both peripheral blood and pleural effusion. Conclusions: The immunocompromised host with opportunistic M. gracilis infection, rapid and accurate recognition through direct microscopic testing with calcofluor white and MOLDI-TOF MS, is the key to achieving a definite diagnosis, and a combination of antifungal therapy with immunomodulatory therapy is vital for improving survival.

Frequency of Atypical Pulmonary Manifestations of COVID-19 Patients on Chest CTscan: A cross-sectional study (preprint)

BackgroundChest CT examination is significant in COVID-19 diagnosis due to its high sensitivity. Although typical chest CT findings have been discussed thoroughly in the literature throughout the pandemic, we aimed to investigate the prevalence of the atypical conclusions during the start of the Omicron variant insurgency and compare the results to studies conducted before its outbreak. Methods606 confirmed COVID-19 cases were included in this study based on inclusion and exclusion criteria during January and February 2022. 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). One radiology attending and one resident evaluated SARS-CoV-2 RT-PCR-positive patients for atypical pulmonary CT findings. The obtained data were evaluated using R software version 4.1.1. Results55% of patients were female, and the median age was 56 (IQR: 42, 69) 59% of patients had atypical findings on their pulmonary CT examination. These findings showed that pleural abnormalities were the most frequent atypical findings, with pleural thickening being the most common (17%). The double halo sign represented the least frequent atypical sign (0.2%). ConclusionAtypical 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 some groups.

Chest computed tomography characteristics of critically ill COVID-19 patients with auto-antibodies against type I interferons (preprint)

Purpose: patients with auto-antibodies neutralizing type I interferons (anti-IFN auto-Abs) are at risk of severe forms of coronavirus disease 19 (COVID-19). The chest computed tomography (CT) scan characteristics of critically ill COVID-19 patients harboring these auto-Abs have never been reported. Methods: Bicentric ancillary study of the ANTICOV study (observational prospective cohort of severe COVID-19 patients admitted to the intensive care unit (ICU) for hypoxemic acute respiratory failure) on chest CT scan characteristics (severity score, parenchymal, pleural, vascular patterns). Anti-IFN auto-Abs were detected using a luciferase neutralization reporting assay. Imaging data were collected through independent blinded reading of two thoracic radiologists of chest CT studies performed at ICU admission (±72h). The primary outcome measure was the evaluation of severity by the total severity score (TSS) and the CT severity score (CTSS) according to the presence or absence of anti-IFN auto-Abs. Results: 231 critically ill COVID-19 patients were included in the study (mean age 59.5±12.7 years; males 74.6%). Day 90 mortality was 29.5% (n=72/244). There was a trend towards more severe radiological lesions in patients with auto-IFN anti-Abs than in others, not reaching statistical significance (median CTSS 27.5 (21.0-34.8] versus 24.0 (19.0-30.0), p=0.052; median TSS 14.5 (10.2-17.0) versus 12.0 (9.0-15.0), p=0.070). The extra-parenchymal evaluation found no difference in the proportion of patients with pleural effusion, mediastinal lymphadenopathy or thymal abnormalities in the two populations. The prevalence of pulmonary embolism was not significantly different between groups (8.7% versus 5.3%, p=0.623, n=175). Conclusion: There was no significant difference in disease severity as evaluated by chest CT in severe COVID-19 patients admitted to the ICU for hypoxemic acute respiratory failure with or without anti-IFN auto-Abs.

[Surgical approach for destructive pneumonia associated with COVID-19]. / Taktika khirurgicheskogo lecheniya destruktivnoi pnevmonii, assotsiirovannoi s infektsiei COVID-19.

There were over 400 million people with COVID-19 pneumonia worldwide and over 12 million in the Russian Federation after 2020. Complicated course of pneumonia with abscesses and gangrene of lungs was observed in 4% of cases. Mortality ranges from 8 to 30%. We report 4 patients with destructive pneumonia following SARS-CoV-2 infection. In one patient, bilateral lung abscesses regressed under conservative treatment. Three patients with bronchopleural fistula underwent staged surgical treatment. Reconstructive surgery included thoracoplasty with muscle flaps. There were no postoperative complications that required redo surgical treatment. We observed no recurrences of purulent-septic process and mortality.

Surgical Management of Pneumothorax and Pleural Space Disease.

Pleural space diseases constitute a wide range of benign and malignant conditions, including pneumothorax, pleural effusion and empyema, chylothorax, pleural-based tumors, and mesothelioma. The focus of this article is the surgical management of the 2 most common pleural disorders seen in modern thoracic surgery practice: spontaneous pneumothorax and empyema.

Radiological Imaging of Viral Pneumonia Cases Identified Before the COVID-19 Pandemic Period and COVID-19 Pneumonia Cases Comparison of Characteristics (preprint)

Background: Thoracic CT imaging is widely used as a diagnostic method in the diagnosis of COVID-19 pneumonia. Radiological differential diagnosis and isolation of other viral agents causing pneumonia in patients gained importance, especially during the pandemic period. Aims: We aimed to investigate whether there is a difference between the CT imaging findings characteristically defined in COVID-19 pneumonia and the findings detected in pneumonia due to other viral agents, and which finding may be more effective in the diagnosis. Study Design: The study included 249 adult patients with pneumonia found in thorax CT examination and positive COVID-19 RT-PCR test and 94 patients diagnosed with non-COVID pneumonia (viral PCR positive, no bacterial/fungal agents were detected in other cultures) from the last 5 years before the pandemic. It was retrospectively analyzed using the PACS System. CT findings were evaluated by two radiologists with 5 and 20 years of experience who did not know to which group the patient belonged, and it was decided by consensus. Methods: Demographic data (age, gender, known chronic disease) and CT imaging findings (percentage of involvement, number of lesions, distribution preference, dominant pattern, ground-glass opacity distribution pattern, nodule, tree in bud sign, interstitial changes, crazy paving sign, reversed halo sign, vacuolar sign, halo sign, vascular enlargement, linear opacities, traction bronchiectasis, peribronchial wall thickness, air trapping, pleural retraction, pleural effusion, pericardial effusion, cavitation, mediastinal/hilar lymphadenopathy, dominant lesion size, consolidation, subpleural curvilinear opacities, air bronchogram, pleural thickening) of the patients were evaluated. CT findings were also evaluated with the RSNA consensus guideline and the CORADS scoring system. Data were divided into two main groups as non-COVID-19 and COVID-19 pneumonia and compared statistically with chi-square tests and multiple regression analysis of independent variables. Results: Two main groups; RSNA and CORADS classification, percentage of involvement, number of lesions, distribution preference, dominant pattern, nodule, tree in bud, interstitial changes, crazy paving, reverse halo vascular enlargement, peribronchial wall thickness, air trapping, pleural retraction, pleural/pericardial effusion, cavitation and mediastinal/hilar lymphadenopathy were compared, significant differences were found between the groups (p < 0.01). Multiple linear regression analysis of independent variables found a significant effect of reverse halo sign ({beta} = 0.097, p <0.05) and pleural effusion ({beta} = 10.631, p <0.05) on COVID-19 pneumonia. Conclusion: Presence of reverse halo and absence of pleural effusion was found to be efficient in the diagnosis of COVID-19 pneumonia.

Bronchopleural Fistula as a Complication in a COVID-19 Patient Managed With Endobronchial Valves.

Bronchopleural fistula (BPF) is associated with high morbidity if left untreated. Although rare, the frequency of BPF in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is becoming recognized in medical literature. We present a case of a 64-year-old male with BPF with persistent air leak due to SARS-CoV-2 pneumonia treated with Spiration Valve System endobronchial valve (EBV). An EBV was placed in the right middle lobe with successful cessation of air leak. In conclusion, the use of EBVs for BPF with persistent air leaks in SARS-CoV-2 patients who are poor surgical candidates is effective and safe.

Point-of-care lung ultrasound predicts severe disease and death due to COVID-19: a prospective cohort study. (preprint)

Objective: The clinical utility of point-of-care lung ultrasound (LUS) for disease severity triage of hospitalized patients with COVID-19 is unclear. Design: Prospective cohort study Setting: A large tertiary care center in Maryland, USA between April 2020 to September 2021. Patients: Hospitalized adults (18 years of age or greater) with positive SARS-CoV-2 RT-PCR results. Interventions: None. Measurements and Main Results: All patients were scanned using a standardized protocol including 12 lung zones and followed to determine clinical outcomes until hospital discharge and vital status at 28-days. Ultrasounds were independently reviewed for lung and pleural line artifacts and abnormalities, and the mean Lung Ultrasound Score (ranging from 0 to 3) across lung zones (mLUSS) was determined. The primary outcome was time to ICU-level care, defined as high flow oxygen, noninvasive, or mechanical ventilation, within 28-days of the initial ultrasound. Cox proportional hazards regression models adjusted for age and sex were fit for mLUSS and each ultrasound covariate. A total of 264 participants were enrolled in the study; the median age was 59 years and 114 (43.2) % of participants were female. The median mLUSS was 1 (interquartile range: 0.5 to 1.3). Following enrollment, 29 (11.0%) participants went on to require ICU-level care and 14 (5.3%) subsequently died by 28 days. Each increase in mLUSS at enrollment was associated with disease progression to ICU-level care (aHR = 3.63; 95% CI: 1.23 to 10.65) and 28-day mortality (aHR = 4.50; 95% CI: 1.52 to 13.31). Pleural line abnormalities were independently associated with disease progression to ICU-level care (aHR = 18.86; CI: 1.57 to 226.09). Conclusions: Participants with a mLUSS of 1 or more or pleural line changes on LUS had an increased likelihood of subsequent requirement of high flow oxygen or greater. LUS is a promising tool for assessing risk of COVID-19 progression at the bedside.

Endobronchial valve positioning for alveolar-pleural fistula following ICU management complicating COVID-19 pneumonia.

BACKGROUND: The main clinical consequences of severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) infection are pneumonia and respiratory failure even requiring mechanical ventilation. In this context, the lung parenchyma is highly prone to ventilator-related injury, with pneumothorax and persistent air leak as the most serious adverse events. So far, endobronchial valve (EBV) positioning has proved efficacious in treating air leaks with a high success rate. CASE PRESENTATION: We report, for the first time, two cases of patients affected by SARS-CoV-2-related pneumonia complicated with bacterial super-infection, experiencing pneumothorax and persistent air leaks after invasive mechanical ventilation. Despite the severity of respiratory failure both patients underwent rigid interventional bronchoscopy and were successfully treated through EBV positioning. CONCLUSIONS: Persistent air leaks may result from lung tissue damage due to a complex interaction between inflammation and ventilator-related injury (VILI), especially in the advanced stages of ARDS. EBV positioning seems to be a feasible and effective minimally invasive therapeutic option for treating this subset of patients.

Immune responses in COVID-19 respiratory tract and blood reveal mechanisms of disease severity (preprint)

Although the respiratory tract is the primary site of SARS-CoV-2 infection and the ensuing immunopathology, respiratory immune responses are understudied and urgently needed to understand mechanisms underlying COVID-19 disease pathogenesis. We collected paired longitudinal blood and respiratory tract samples (endotracheal aspirate, sputum or pleural fluid) from hospitalized COVID-19 patients and non-COVID-19 controls. Cellular, humoral and cytokine responses were analysed and correlated with clinical data. SARS-CoV-2-specific IgM, IgG and IgA antibodies were detected using ELISA and multiplex assay in both the respiratory tract and blood of COVID-19 patients, although a higher receptor binding domain (RBD)-specific IgM and IgG seroconversion level was found in respiratory specimens. SARS-CoV-2 neutralization activity in respiratory samples was detected only when high levels of RBD-specific antibodies were present. Strikingly, cytokine/chemokine levels and profiles greatly differed between respiratory samples and plasma, indicating that inflammation needs to be assessed in respiratory specimens for the accurate assessment of SARS-CoV-2 immunopathology. Diverse immune cell subsets were detected in respiratory samples, albeit dominated by neutrophils. Importantly, we also showed that dexamethasone and/or remdesivir treatment did not affect humoral responses in blood of COVID-19 patients. Overall, our study unveils stark differences in innate and adaptive immune responses between respiratory samples and blood and provides important insights into effect of drug therapy on immune responses in COVID-19 patients.

Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical illness syndrome associated with high mortality. An important factor in its under-recognition is the variability in chest radiograph interpretation for ARDS. We sought to train a deep convolutional neural network (CNN) to detect ARDS findings on chest radiographs. METHODS: CNNs were pretrained on 595 506 radiographs from two centres to identify common chest findings (eg, opacity and effusion), and then trained on 8072 radiographs annotated for ARDS by multiple physicians using various transfer learning approaches. The best performing CNN was tested on chest radiographs in an internal and external cohort, including a subset reviewed by six physicians, including a chest radiologist and physicians trained in intensive care medicine. Chest radiograph data were acquired from four US hospitals. FINDINGS: In an internal test set of 1560 chest radiographs from 455 patients with acute hypoxaemic respiratory failure, a CNN could detect ARDS with an area under the receiver operator characteristics curve (AUROC) of 0·92 (95% CI 0·89-0·94). In the subgroup of 413 images reviewed by at least six physicians, its AUROC was 0·93 (95% CI 0·88-0·96), sensitivity 83·0% (95% CI 74·0-91·1), and specificity 88·3% (95% CI 83·1-92·8). Among images with zero of six ARDS annotations (n=155), the median CNN probability was 11%, with six (4%) assigned a probability above 50%. Among images with six of six ARDS annotations (n=27), the median CNN probability was 91%, with two (7%) assigned a probability below 50%. In an external cohort of 958 chest radiographs from 431 patients with sepsis, the AUROC was 0·88 (95% CI 0·85-0·91). When radiographs annotated as equivocal were excluded, the AUROC was 0·93 (0·92-0·95). INTERPRETATION: A CNN can be trained to achieve expert physician-level performance in ARDS detection on chest radiographs. Further research is needed to evaluate the use of these algorithms to support real-time identification of ARDS patients to ensure fidelity with evidence-based care or to support ongoing ARDS research. FUNDING: National Institutes of Health, Department of Defense, and Department of Veterans Affairs.

First Confirmed SARS-CoV-2 Related Deceased in Ethiopia on Post-mortem Examination and the Context Confronted in Limited Forensic Pathology Centre: case report. (preprint)

A 55-year-old male was found dead in the church of Kefa Zone, Southern Nation and Nationality People Region, the local area of Ethiopia about 500 km away from the only available national forensic centre in Addis Ababa, Ethiopia. He had no medical history of comorbidity or medicine prescribed previously as well as no contact history with COVID-19 cases. Also, no travel history to Addis Ababa, which has an epicenter of COVID- 19 high burden cases, and no living individuals reported cases of COVID-19 patients in local residence of the deceased. The National COVID-19 emergency operating team already decided to do postmortem surveillance and collect nasopharyngeal or oropharyngeal swabs for SARS-CoV-2 on all the dead bodies submitted to the mortuary for postmortem examination. For this case and other cases on that day postmortem nasopharyngeal swabs collected and sent for RT-PCR COVID19. Test confirmed COVID-19 positive for this deceased one day after the body handed over to family and transported back to residence of the deceased. The external post-mortem examination revealed an emaciated middle-age adult male with rigor mortis on lower extremity and non- blanching livor mortis on the back of the body. There was no evidence of recent injury. On internal examination pleural adhesions were present on anterior and posterior aspect of left lung. The left lung extensively necrotized, collapsed and weighs about 280grams. Right lung was dark red in color, consolidated, weighs 450 grams, patchy petechial hemorrhages on the pleural surface. No viscera preserved for microbiology, virology, histopathology, or immunohistochemistry tests as these facilities are not available in our set up. With the pandemic impact of SARS-COV-2, a range of issues unfolds, also during autopsies, as we report the first Ethiopian case of fatal SARS-COV-2 pneumonia confirmed on post-mortem examination.

Salvage Lobectomy to Treat Necrotizing SARS-CoV-2 Pneumonia Complicated by a Bronchopleural Fistula.

We report a case of necrotizing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia complicated by a bronchopleural fistula and treated by decortication and salvage lobectomy. Owing to the unknown characteristics of the underlying SARS-CoV-2 infection, treatment of the abscess and bronchopleural fistula was delayed. This may have resulted in further deterioration of the patient, with ensuing multiple organ dysfunction. Complications of SARS-CoV-2 pneumonia, such as a bacterial abscess and a bronchopleural fistula, should be treated as if the patient were not infected with SARS-CoV-2.

Detection of SARS-CoV-2 in Different Body Fluids Using RT-PCR – An Autopsy Based Study (preprint)

World is in mid of dreaded pandemic – Covid-19 caused by SARS-CoV-2. To curb it tremendous efforts has been put worldwide to enhance scientific knowledge related to SARS-CoV-2. In this study, we collected postmortem samples of tracheal swab, vitreous humor, pleural fluid, CSF and pericardial fluid by conducting complete autopsy on 24 patients with known SARS-CoV-2 infection at department of forensic medicine, P.D.U. Government College, Rajkot (India). RT-PCR was used to detect SARS-CoV-2 from these samples. SARS-CoV-2 was detected from tracheal swab in 54.55% cases and from pleural fluid in 13.34% cases. SARS-CoV-2 wasn’t detected from any sample of CSF, vitreous humor and pericardial fluid. Positive and negative cases for postmortem tracheal swabs were analyzed to find out of its relationship with duration of Covid-19 illness. No significant relationship was found between detectability of SARS-CoV-2 in postmortem samples of tracheal swab and duration of Covid-19 illness.

Prognostic value of bedside lung ultrasound score in patients with COVID-19 (preprint)

Background: Bedside lung ultrasound (LUS) has emerged as a useful and noninvasive tool to detect lung involvement and monitor changes in patients with coronavirus disease 2019 (COVID-19). However, the clinical significance of the LUS score in patients with COVID-19 remains unknown. We aimed to investigate the prognostic value of the LUS score in patients with COVID-19. Methods: : The LUS protocol consisted of 12 scanning zones and was performed in 280 consecutive patients with COVID-19. The LUS score based on B-lines, lung consolidation and pleural line abnormalities was evaluated. Results: : The median time from admission to LUS examinations was 7 days (interquartile range [IQR] 3-10). Patients in the highest LUS score group were more likely to have a lower lymphocyte percentage (LYM%); higher levels of D-dimer, C-reactive protein, hypersensitive troponin I and creatine kinase muscle-brain; more invasive mechanical ventilation therapy; higher incidence of ARDS; and higher mortality than patients in the lowest LUS score group. After a median follow-up of 14 days [IQR, 10-20 days], 37 patients developed ARDS, and 13 died. Patients with adverse outcomes presented a higher rate of bilateral involvement; more involved zones and B-lines, pleural line abnormalities and consolidation; and a higher LUS score than event-free survivors. The Cox models adding the LUS score as a continuous variable (hazard ratio [HR]: 1.05, 95% confidence intervals [CI]: 1.02～1.08; P < 0.001; Akaike Information Criterion [AIC] =272; C-index = 0.903) or as a categorical variable (HR: 10.76, 95% CI: 2.75～42.05; P = 0.001; AIC =272; C-index = 0.902) were found to predict poor outcomes more accurately than the basic model (AIC =286; C-index = 0.866). An LUS score cut-off >12 predicted adverse outcomes with a specificity and sensitivity of 90.5% and 91.9%, respectively. Conclusions: : The LUS score devised by our group performs well at predicting adverse outcomes in patients with COVID-19 and is important for risk stratification in COVID-19 patients.

Pleural complications in patients with coronavirus disease 2019 (COVID-19): how to safely apply and follow-up with a chest tube during the pandemic?

OBJECTIVES: Severe acute respiratory syndrome coronavirus 2, a novel coronavirus, affects mainly the pulmonary parenchyma and produces significant morbidity and mortality. During the pandemic, several complications have been shown to be associated with coronavirus disease 2019 (COVID-19). Our goal was to present a series of patients with COVID-19 who underwent chest tube placements due to the development of pleural complications and to make suggestions for the insertion and follow-up management of the chest tube. METHODS: We retrospectively collected and analysed data on patients with laboratory-confirmed COVID-19 in our hospital between 11 March and 15 May 2020. Patients from this patient group who developed pleural complications requiring chest tube insertion were included in the study. RESULTS: A total of 542 patients who were suspected of having COVID-19 were hospitalized. The presence of severe acute respiratory syndrome coronavirus 2 was confirmed with laboratory tests in 342 patients between 11 March and 15 May 2020 in our centre. A chest tube was used in 13 (3.8%) of these patients. A high-efficiency particulate air filter mounted double-bottle technique was used to prevent viral transmission. CONCLUSIONS: In patients with COVID-19, the chest tube can be applied in cases with disease or treatment-related pleural complications. Our case series comprised a small group of patients, which is one of its limitations. Still, our main goal was to present our experience with patients with pleural complications and describe a new drainage technique to prevent viral transmission during chest tube application and follow-up.