Pulmonary radiological patterns in patients diagnosed with SARS-CoV-2 pneumonia

In 2019, a novel coronavirus, namely, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), was linked to several cases of pneumonia. The rapid spread of this virus caused the coronavirus disease 2019 (COVID-19) pandemic. Even today, there is no specific treatment for SARS-CoV-2 infection. Typically, individuals infected with this virus are recommended isolation; however, severely infected patients might require oxygen support, invasive mechanical ventilation, steroid administration, antibiotic treatment for secondary bacterial infections, and fluid management.

Study: Tomographic findings and mortality in patients with severe and critical pneumonia with COVID-19 diagnosis. Image Credit: Komsan Loonprom/Shutterstock
Study: Tomographic findings and mortality in patients with severe and critical pneumonia with COVID-19 diagnosis. Image Credit: Komsan Loonprom/Shutterstock

Background

Computed tomography must be considered for diagnosis in patients with suspected pneumonia. The pulmonary tomographic images of patients with SARS-CoV-2 pneumonia revealed a multifocal ground-glass pattern that was peripherally distributed. These patterns were irregular, with a posterior or lower lobe predilection.

Imaging diagnosis of patients with atypical pneumonia is difficult because around 17% of COVID-19 patients with mild pneumonia-like symptoms do not exhibit pulmonary tomographic findings upon hospital admission.

A recent Respiratory Medicine Case Reports study reported the pulmonary tomographic findings in severely infected COVID-19 patients with critical pneumonia. Furthermore, this study aimed to determine mortality at 30 days in this group of patients, along with patients with acute respiratory distress syndrome (ARDS) and those suffering from different levels of lung disease.

About the study

This observational and retrospective study included patients admitted to Mexican hospitals, between June 2020 and March 2021, with severe SARS-CoV-2 pneumonia infection. The cohort comprised adult patients of both genders. Additionally, these patients had a contrasted chest computed tomography done during the time of sample collection for PCR to confirm COVID-19 diagnosis. In addition to PCR-confirmed SARS-CoV-2 infection, patients' detailed information on disease progression up to 30 days of hospitalization was included.

Demographic variables, including age, sex, weight, height, clinical variables (e.g., comorbidities and duration of hospital stay), and therapeutic management were obtained from medical records. The health conditions of the patients were assessed via the Sequential Organ Failure Assessment (SOFA), the Charlson comorbidity index (CCI), and the Acute Physiology and Chronic Health Evaluation (APACHE IV).

The blinded radiological classification was used to classify CT scans indicative of COVID-19 and non-COVID-19 infection. The tomographic findings were categorized as ground-glass pattern, presence of ganglia, consolidation pattern, vascular thickening pattern, nodular pattern, and presence of thrombosis. 

Study findings

A consecutive case series of 490 patients with COVID-19 were evaluated, along with the computed tomography and different disease-severity scales to determine whether a patient would require mechanical ventilation support and their mortality risk at 30 days. It was observed that SOFA, APACHE IV, CCI, and the pulmonary damage severity index could positively predict the need for invasive mechanical ventilation. 

No statistically different survival rate was observed between patients severely infected with pneumonia and COVID-19, requiring invasive mechanical ventilation support, and those who did not. Nevertheless, 84.35% of patients with a higher pulmonary damage severity index died within 30 days of hospital admission. However, 25.91% of patients with moderate lung damage and 2.42% with mild lung damage also died within the study period.

A previously conducted comparative study reported that tomographic findings related to viral pneumonia due to SARS-CoV-2 infection exhibited a greater incidence of peripheral lesions, presence of fine reticular opacities, ground-glass opacities, vascular thickening pattern, compared to non-COVID-19 infection. In contrast, pleural effusion, central and peripheral distribution, and lymphadenopathies were more frequently found in non-COVID-19 than SARS-CoV-2 infection. 

In the present study, 89.80% of patients exhibited ground-glass opacities, followed by radiologic consolidation sign (81.63%), vascular thickening pattern (42.45%), lymphadenopathies (37.55%), pleural effusion (14.90%), and pulmonary thrombosis. (2.65%). Additionally, 91.02% of patients exhibited bilateral lesions, 85.51% peripheral lesions, and 75.92% basal lobe lesions.

It was observed that a higher pulmonary damage severity index indicated the requirement for mechanical ventilation. Some of the key factors associated with severe and critical pneumonia due to COVID-19 were age, diabetes, and chronic obstructive pulmonary disease. 

Study limitations

The lack of radiological follow-up is a key limitation of this study. Due to this data shortcoming, the authors could only interpret the initial radiological evaluation and not the disease progression. Another limitation of the study cohort is that some participants received prior treatment with corticosteroids and antibiotics, which could influence the tomographic findings. As co-infection could confound the CT results, it was not considered. Lung biopsies were not conducted to confirm the tomographic findings. Nevertheless, the current study linked lung damage and acute respiratory distress syndrome with CT severity index and mortality at 30 days.

Journal reference:
Dr. Priyom Bose

Written by

Dr. Priyom Bose

Priyom holds a Ph.D. in Plant Biology and Biotechnology from the University of Madras, India. She is an active researcher and an experienced science writer. Priyom has also co-authored several original research articles that have been published in reputed peer-reviewed journals. She is also an avid reader and an amateur photographer.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Bose, Priyom. (2022, October 11). Pulmonary radiological patterns in patients diagnosed with SARS-CoV-2 pneumonia. News-Medical. Retrieved on November 24, 2024 from https://www.news-medical.net/news/20221011/Pulmonary-radiological-patterns-in-patients-diagnosed-with-SARS-CoV-2-pneumonia.aspx.

  • MLA

    Bose, Priyom. "Pulmonary radiological patterns in patients diagnosed with SARS-CoV-2 pneumonia". News-Medical. 24 November 2024. <https://www.news-medical.net/news/20221011/Pulmonary-radiological-patterns-in-patients-diagnosed-with-SARS-CoV-2-pneumonia.aspx>.

  • Chicago

    Bose, Priyom. "Pulmonary radiological patterns in patients diagnosed with SARS-CoV-2 pneumonia". News-Medical. https://www.news-medical.net/news/20221011/Pulmonary-radiological-patterns-in-patients-diagnosed-with-SARS-CoV-2-pneumonia.aspx. (accessed November 24, 2024).

  • Harvard

    Bose, Priyom. 2022. Pulmonary radiological patterns in patients diagnosed with SARS-CoV-2 pneumonia. News-Medical, viewed 24 November 2024, https://www.news-medical.net/news/20221011/Pulmonary-radiological-patterns-in-patients-diagnosed-with-SARS-CoV-2-pneumonia.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Futuristic AI-powered virtual lab designs potent SARS-CoV-2 nanobodies