Different presentation of pulmonary parenchymal disruption in COVID-19 pneumonia. Case series of Sub-Intensive Care Unit in Naples, Italy
Abstract
The coronavirus disease 2019 (COVID-19) is a recent pandemic that affected more than 5 million people worldwide. Chest high resolution computed tomography (HRCT) is an essential tool in diagnosis and management of the disease. Pulmonary parenchymal opacity is a typical sign of the disease, but not the only one. Pneumothorax, pneumomediastinum, bronchiectasis and cysts are probably underrated complications of COVID-19 that can worsen prognosis, in terms of prolonged hospitalization and need of oxygen therapy. In our single center case series, we outline four different manifestations of pneumothorax, pneumomediastinum and cysts in hospitalized patients with COVID-19 pneumonia.
How strong is the evidence?
Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
Read the paper
Related studies
- Severe clinical outcomes of COVID-19 associated with proton pump inhibitors: a nationwide cohort study with propensity score matching
- Levofloxacin-Induced Tendon Rupture: A Case Report and Review of the Literature
- Association between cord blood 25-hydroxyvitamin D concentrations and respiratory tract infections in the first 6 months of age in a Korean population: a birth cohort study (COCOA)
- Neuroprotective Effects of Epicatechin against Oxidative Stress-Induced Cognitive Impairment: A Systematic Review and Meta-Analysis
- Quality evaluation and in vitro interaction studies between levofloxacin 250mg and diclofenac sodium 50mg tablets
- Molecular Epidemiology of mcr-1 -Positive Polymyxin B-Resistant Escherichia coli Producing Extended-Spectrum β-Lactamase (ESBL) in a Tertiary Hospital in Shandong, China
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.