Unusual presentations of COVID-19 pneumonia on CT scans with spontaneous pneumomediastinum and loculated pneumothorax: A report of two cases and a review of the literature.
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ABSTRACT:
SUBMITTER: Brogna B
PROVIDER: S-EPMC7293476 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
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Unusual presentations of COVID-19 pneumonia on CT scans with spontaneous pneumomediastinum and loculated pneumothorax: A report of two cases and a review of the literature.
Brogna Barbara B Bignardi Elio E Salvatore Petronilla P Alberigo Martino M Brogna Claudia C Megliola Antonia A Fontanella Giovanni G Mazza Emerico Maria EM Musto Lanfranco L
Heart & lung : the journal of critical care 20200613 6
Spontaneous pneumomediastinum (SPM) and Loculated pneumothorax (LPNX) are both generally rare clinical and radiological conditions associated with Coronavirus Disease 2019 (COVID-19). We report for the first time clinical data and radiological chest CT imaging of two patients affected by COVID-pneumonia associated with early radiological findings of SPM and LPNX. ...[more]
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Project description:The first reports of severe acute respiratory symptoms from a novel coronavirus called coronavirus disease 2019 (COVID-19) occurred in Wuhan, Hubei Province, China in December 2019.1 The World Health Organization declared COVID-19 a global pandemic by March 2020.1 The COVID-19 outbreak has resulted in a current global health emergency. Clinical information about the findings of COVID-19 and its associated complications are constantly evolving and becoming more widely available. Providers should be familiar with both typical symptoms and image study results for COVID-19 as well as less commonly reported complications of progressive COVID-19, such as spontaneous pneumomediastinum and spontaneous pneumothorax as highlighted in this case.
| S-EPMC7510447 | biostudies-literature
Project description:AimPneumothorax (PNX), pneumomediastinum (PMD) and subcutaneous emphysema (SCE) are COVID-19 complications related to positive-pressure ventilation. We analyzed the pathophysiology of these complications without ventilation.Patients & methodsOut of 1845 admitted COVID-19 patients, we retrospectively collected data for 15 patients, from a tertiary medical center, from 1 October 2020 to 31 March 2021.ResultsFive patients suffered from spontaneous PNX, 8/15 developed PMD and 8/15 developed SCE. The mean BMI was 29.7, as most patients were obese or overweight. Most patients had lymphocytopenia and increased C-reactive protein, ferritin and lactate dehydrogenase levels. Eleven patients succumbed to the disease.ConclusionRisk factors of spontaneous PNX, PMD and SCE in COVID-19 patients need further investigations by conducting more comprehensive case-control studies.
| S-EPMC8609960 | biostudies-literature
Project description:Objectives: Pneumothorax and pneumomediastinum are associated with high mortality in invasively ventilated coronavirus disease 2019 (COVID-19) patients; however, the mortality rates among non-intubated patients remain unknown. We aimed to analyze the clinical features of COVID-19-associated pneumothorax/pneumomediastinum in non-intubated patients and identify risk factors for mortality. Methods: We searched PubMed Scopus and Embase from January 2020 to December 2021. We performed a pooled analysis of 151 patients with no invasive mechanical ventilation history from 17 case series and 87 case reports. Subsequently, we developed a novel scoring system to predict in-hospital mortality; the system was further validated in multinational cohorts from ten countries (n = 133). Results: Clinical scenarios included pneumothorax/pneumomediastinum at presentation (n = 68), pneumothorax/pneumomediastinum onset during hospitalization (n = 65), and pneumothorax/pneumomediastinum development after recent COVID-19 treatment (n = 18). Significant differences were not observed in clinical outcomes between patients with pneumomediastinum and pneumothorax (±pneumomediastinum). The overall mortality rate of pneumothorax/pneumomediastinum was 23.2%. Risk factor analysis revealed that comorbidities bilateral pneumothorax and fever at pneumothorax/pneumomediastinum presentation were predictors for mortality. In the new scoring system, i.e., the CoBiF system, the area under the curve which was used to assess the predictability of mortality was 0.887. External validation results were also promising (area under the curve: 0.709). Conclusions: The presence of comorbidity bilateral pneumothorax and fever on presentation are significantly associated with poor prognosis in COVID-19 patients with spontaneous pneumothorax/pneumomediastinum. The CoBiF score can predict mortality in clinical settings as well as simplify the identification and appropriate management of patients at high risk.
| S-EPMC9739102 | biostudies-literature
Project description:We report a case of secondary spontaneous pneumothorax in which the causative bulla was successfully managed by thoracoscopic surgery. A 64-year-old male was admitted presenting with a right pneumothorax. Chest computed tomography revealed a bulla located in the azygoesophageal recess. Thoracoscopic surgery confirmed an unusual bulla extending along the thoracic spine with a fistula at the tip. We describe the intriguing features of this unique bulla and speculate on its aetiology for the first time.
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Project description:ObjectiveTo determine whether the apparent excess incidence of pneumothorax and pneumomediastinum in patients with coronavirus disease 2019 (COVID-19) is explained adequately by iatrogenic causes vs reflecting sequelae of severe acute respiratory syndrome coronavirus 2 infection.Patients and methodsWe retrospectively reviewed patients within our health care system from March 15, 2020, through May 31, 2020, who had a diagnosis of pneumothorax or pneumomediastinum during hospitalization for confirmed COVID-19 infection with attention to timing of pneumothorax and pneumomediastinum; presence, laterality, and placement, or attempts at central lines; and presence of mechanical ventilation before the event.ResultsWe report clinical data and outcomes from 9 hospitalized patients with COVID-19 who developed pneumothorax and/or pneumomediastinum among more than 1200 hospitalized patients admitted within our hospital system early in the pandemic. Many events were inexplicable by iatrogenic needle injury, including 1 spontaneous case without central line access or mechanical ventilation. One occurred before central line placement, 2 in patients with only a peripherally inserted central line, and 1 contralateral to a classic central line. Three of these 9 patients died of complications of COVID-19 during their hospital stay.ConclusionWith COVID-19 affecting the peripheral lung pneumocytes, patients are vulnerable to develop pneumothorax or pneumomediastinum irrespective of their central line access site. We hypothesize that COVID-19 hyperinflammation, coupled with the viral tropism that includes avid involvement of peripheral lung pneumocytes, induces a predisposition to peripheral bronchoalveolar communication and consequent viral hyperinflammatory-triggered pneumothorax and pneumomediastinum.
| S-EPMC8385307 | biostudies-literature
Project description:ObjectiveTo determine the incidence, predictors, and outcome of pneumothorax (PNX)/pneumomediastinum (PMD) in coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS).DesignObservational study.SettingTertiary-care university hospital.ParticipantsOne hundred sixteen consecutive critically ill, invasively ventilated patients with COVID-19 ARDS.InterventionsThe authors collected demographic, mechanical ventilation, imaging, laboratory, and outcome data. Primary outcome was the incidence of PNX/PMD. Multiple logistic regression analyses were performed to identify predictors of PNX/PMD.Measurements and main resultsPNX/PMD occurred in a total of 28 patients (24.1%), with 22 patients developing PNX (19.0%) and 13 developing PMD (11.2%). Mean time to development of PNX/PMD was 14 ± 11 days from intubation. The authors found no significant difference in mechanical ventilation parameters between patients who developed PNX/PMD and those who did not. Mechanical ventilation parameters were within recommended limits for protective ventilation in both groups. Ninety-five percent of patients with PNX/PMD had the Macklin effect (linear collections of air contiguous to the bronchovascular sheaths) on a baseline computed tomography scan, and tended to have a higher lung involvement at intensive care unit (ICU) admission (Radiographic Assessment of Lung Edema score 32.2 ± 13.4 v 18.7 ± 9.8 in patients without PNX/PMD, p = 0.08). Time from symptom onset to intubation and time from total bilirubin on day two after ICU admission were the only independent predictors of PNX/PMD. Mortality was 60.7% in patients who developed PNX/PMD versus 38.6% in those who did not (p = 0.04).ConclusionPNX/PMD occurs frequently in COVID-19 patients with ARDS requiring mechanical ventilation, and is associated with increased mortality. Development of PNX/PMD seems to occur despite use of protective mechanical ventilation and has a radiologic predictor sign.
| S-EPMC8054543 | biostudies-literature
Project description:The typical findings on CT in patients affected by novel COVID-19 (coronavirus disease 2019) pneumonia are characterized by ground-glass opacities and/or air space consolidation mainly bilateral and peripherical in distribution, including crazy paving pattern and reversed halo sign. We hereby describe a case of an adolescent male tested positive for COVID-19 with mild respiratory symptoms and presenting with pneumomediastinum as the only CT finding.
| S-EPMC7465755 | biostudies-literature
Project description:Objective:In the treatment of primary spontaneous pneumothorax (PSP), the influence of safety and applicability of uniportal video assisted thoracoscopic surgery (VATS) bullectomy/blebectomy and pleurectomy method were evaluated in 46 patients. Methods:Between November 2010 and January 2019, 46 patients (36 males, 10 females; mean age 24.2 years; range 16-36 years) undergoing uniportal video thoracoscopic bullectomy/blebectomy and apical pleurectomy for primary spontaneous pneumothorax were evaluated retrospectively at Canakkale Onsekiz Mart University (COMU). One patient underwent surgery for the second time after three months for contralateral pneumothorax and counted as two different patients, hence forty seven operations were performed in total. The cases were evaluated in terms of age, gender, comorbidity, duration of hospital stay, histopathological diagnosis, postoperative morbidity and mortality. Results:Right surgical intervention was performed in 20 cases (42.6%) and left surgical intervention in 27 cases (57.6%). A total of 15 (31.9%) surgical operations were performed during the first attack, 30 (63.8%) during the second attack and 2 (4.3%) during third and more attacks. There was prolonged air leakage in all patients operated during the first episode. All cases underwent wedge resection and pleurectomy with endoscopic stapes. None of the patients required thoracotomy. Postoperative drainage period was between 2-7 days (mean: 4.1) and the duration of hospitalization was between three to eight days. Postoperative pain and paraesthesia were observed in eight cases. Prolonged air leakage was observed in five cases. Conclusion:With video thoracoscopic uniportal technique, not only lung biopsy and resection but also bullectomy/blebectomy and pleurectomy operations can be performed safely in the treatment of PSP. In view of this information, minimally invasive techniques are seen as more advantageous than conventional techniques.
| S-EPMC6994897 | biostudies-literature
Project description:ObjectivesAn artificial intelligence model was adopted to identify mild COVID-19 pneumonia from computed tomography (CT) volumes, and its diagnostic performance was then evaluated.MethodsIn this retrospective multicenter study, an atrous convolution-based deep learning model was established for the computer-assisted diagnosis of mild COVID-19 pneumonia. The dataset included 2087 chest CT exams collected from four hospitals between 1 January 2019 and 31 May 2020. The true positive rate, true negative rate, receiver operating characteristic curve, area under the curve (AUC) and convolutional feature map were used to evaluate the model.ResultsThe proposed deep learning model was trained on 1538 patients and tested on an independent testing cohort of 549 patients. The overall sensitivity was 91.5% (195/213; p < 0.001, 95% CI: 89.2-93.9%), the overall specificity was 90.5% (304/336; p < 0.001, 95% CI: 88.0-92.9%) and the general AUC value was 0.955 (p < 0.001).ConclusionsA deep learning model can accurately detect COVID-19 and serve as an important supplement to the COVID-19 reverse transcription-polymerase chain reaction (RT-PCR) test.Key points• The implementation of a deep learning model to identify mild COVID-19 pneumonia was confirmed to be effective and feasible. • The strategy of using a binary code instead of the region of interest label to identify mild COVID-19 pneumonia was verified. • This AI model can assist in the early screening of COVID-19 without interfering with normal clinical examinations.
| S-EPMC7971359 | biostudies-literature
Project description:PurposeTo determine whether Macklin effect (a linear collection of air contiguous to the bronchovascular sheath) on baseline CT imaging is an accurate predictor for subsequent pneumomediastinum (PMD)/pneumothorax (PNX) development in invasively ventilated patients with COVID-19-related acute respiratory distress syndrome (ARDS).Materials and methodsThis is an observational, case-control study. From a prospectively acquired database, all consecutive invasively ventilated COVID-19 ARDS patients who underwent at least one baseline chest CT scan during the study time period (February 25th, 2020-December 31st, 2020) were identified; those who had tracheal lesion or already had PMD/PNX at the time of the first available chest imaging were excluded.Results37/173 (21.4%) patients enrolled had PMD/PNX; specifically, 20 (11.5%) had PMD, 10 (5.8%) PNX, 7 (4%) both. 33/37 patients with subsequent PMD/PNX had Macklin effect on baseline CT (89.2%, true positives) 8.5 days [range, 1-18] before the first actual radiological evidence of PMD/PNX. Conversely, 6/136 patients without PMD/PNX (4.4%, false positives) demonstrated Macklin effect (p < 0.001). Macklin effect yielded a sensitivity of 89.2% (95% confidence interval [CI]: 74.6-96.9), a specificity of 95.6% (95% CI: 90.6-98.4), a positive predictive value (PV) of 84.5% (95% CI: 71.3-92.3), a negative PV of 97.1% (95% CI: 74.6-96.9) and an accuracy of 94.2% (95% CI: 89.6-97.2) in predicting PMD/PNX (AUC:0.924).ConclusionsMacklin effect accurately predicts, 8.5 days in advance, PMD/PNX development in COVID-19 ARDS patients.
| S-EPMC8357628 | biostudies-literature