Air leaks in COVID-19

Persistent air leak secondary to pneumothorax in COVID-19: A case report and review of literature

An air leak is a pathologic communication between an area of the endobronchial tree and the pleural space, causing continued air flow. The communication can originate from a distal portion of the airway, causing an alveolar-pleural fistula, or from a more proximal airway, causing a bronchopleural fistula. When the air leak persists beyond 5-7 days, it is classified as persistent air leak (PAL). PAL has serious implications on patient management and outcomes, such as prolonged chest tube maintenance, high rate of infections, ventilation-perfusion mismatch, and prolonged hospital stay with higher morbidity and mortality. There are currently no guidelines for the management of PAL in COVID-19 patients. We presented a case of PAL in a patient with COVID-19-associated pneumothorax successfully treated with a one-way endobronchial valve. We also reviewed current published cases of PAL secondary to COVID-19-associated pneumothorax and the various methods they were treated. The first line treatment was insertion of one or more chest tubes, but the persistence of an air leak then led to other treatment modalities. Initial early surgical evaluation followed by pleurodesis is recommended for the management of PAL. The most common surgical approaches include VATS or open thoracotomy with mechanical or chemical pleurodesis or pleurectomy. However, surgery is not always a feasible option for critically ill patients. In such cases, there are multiple less invasive options for the management of PAL, including implantable devices, such as Watanabe spigots and stents, and chemical agents, such as thermal treatments, hemostatic substances, and tissue adhesives.

Incidence of Air Leak Syndrome in Pediatric Patients With SARS-COV-2 Pneumonia and Respiratory Failure: A Single-Center Retrospective Study

Air leak syndrome (ALS) is defined as the extrusion of air from an aerated compartment into an unaerated compartment with associated symptoms of respiratory distress. This syndrome can occur as a consequence of trauma, iatrogenic causes, or spontaneously. Retrospective investigations conducted in the adult population have demonstrated an elevated risk of spontaneous ALS development in patients with coronavirus disease 2019 (COVID-19) pneumonia, along with its correlation with mortality. However, no studies have yet explored this phenomenon within the pediatric population. In light of this knowledge gap, we conducted a retrospective chart review comprising 128 pediatric patients ranging in age from one month to 18 years. The primary objective was to assess the incidence of ALS in two distinct groups: patients diagnosed with COVID-19 pneumonia and those with non-COVID-19 viral pneumonia. The groups were compared using Fisher's exact test for sex, the presence of ALS, the requirement of extracorporeal membrane oxygenation (ECMO), and death. The modified Wald method was used to calculate the 95% confidence interval for the mortality rate in patients with COVID-19 pneumonia in the presence of ALS. Our findings revealed a higher prevalence of ALS in patients with COVID-19 pneumonia compared to the non-COVID-19 viral pneumonia group, with a statistically significant P-value of 0.02 and an odds ratio (OR) of 6.72. In terms of mortality rates, there was a statistically significant difference between the two groups (P = 0.025, OR = 1.083). In addition, in patients with ALS in the presence of COVID-19 pneumonia, the mortality rate was 37.5%. However, the requirement of ECMO was not statistically significant (P = 0.16, OR = 1.04). These results suggest that patients with COVID-19 pneumonia have an increased mortality rate and a heightened risk of developing ALS compared to individuals with other viral pneumonias. Furthermore, the presence of ALS was associated with a high mortality rate in COVID-19 pneumonia patients. However, it is crucial to note that obtaining a larger patient sample and involving multiple institutions would be necessary to obtain more consistent and robust data.