Erschienen in:
12.04.2021 | COVID-19 | Original Article
Zur Zeit gratis
An analysis of the radiological factors associated with respiratory failure in COVID-19 pneumonia and the CT features among different age categories
verfasst von:
Akito Fukuda, Noriyo Yanagawa, Noritaka Sekiya, Koji Ohyama, Makiko Yomota, Takanori Inui, Sho Fujiwara, Shoko Kawai, Kazuaki Fukushima, Masaru Tanaka, Taiichiro Kobayashi, Keishiro Yajima, Akifumi Imamura
Erschienen in:
Japanese Journal of Radiology
|
Ausgabe 8/2021
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Abstract
Purpose
To investigate CT patterns of COVID-19 pneumonia associated with respiratory failure (RF) focused on the distribution of lesions.
Materials and methods
Eighty-five patients with COVID-19 pneumonia were reviewed. CT findings were classified as follows: Type A; patchy ground glass attenuation (GGA) with/without air-space consolidation, Type B; non-segmental GGA with/without air-space consolidation in both the central and peripheral lung portions especially with subpleural spare, and Type C; non-segmental GGA with/without air-space consolidation predominantly distributed in the peripheral lung portion without subpleural spare. We analyzed CT patterns and clinical factors associated with RF, including age categories.
Results
The number of patients with Type A, B and C was 31 (37%), 24 (28%) and 30 (35%), respectively. Type C and hypertension were independently associated with RF. On comparing between Types B and C, the frequency of traction bronchiectasis was higher in Type C than in Type B (P < 0.001). The ratio of Type C in patients ≥ 65 years old (66%) was higher than in patients < 40 years old (P < 0.001) and 40–49 years old (P = 0.001).
Conclusion
The Type C, increasing with age, was associated with RF. Traction bronchiectasis in the lesion was more frequent in Type C than in Type B.
Secondary abstract
A lesion adjacent to the pleura and hypertension is associated with respiratory failure in patients with COVID-19. The frequency of a lesion adjacent to the pleura increased with age. The distribution of lesions is a useful parameter to predict respiratory failure.