High resolution chest computed tomography findings in patients with clinically suspected COVID-19 pneumonia in Uganda: a cross-sectional study
Afr. health sci. (Online)
; 23(4): 85-101, 2023. figures, tables
Article
em En
| AIM
| ID: biblio-1532594
Biblioteca responsável:
CG1.1
ABSTRACT
Background:
The alarming spread of the COVID-19 pandemic has led to a shortage of RT-PCR kits in Uganda necessitating the use of high-resolution chest Computed Tomography to guide patient management and treatment. MainObjective:
To describe the chest HRCT findings in patients with clinically suspected COVID-19 pneumonia and to compare its diagnostic accuracy to RT-PCR. .Methods:
In this cross-sectional study, chest HRCT findings of 384 patients and available RT-PCR laboratory results were reviewed and recorded in the data collection form.Results:
The commonest chest HRCT findings were bilateral ground glass opacities (78.2%). Out of the 31.7% patients that took the PCR test only 26.9% tested positive. 16 out of 17 patients who tested negative, were classified under CORADS 5. The sensitivity of chest HRCT was 90.4%, 95% CI (82.6-95.5), positive predictive value of 84.2%, 95% CI (75.6-90.7), and accuracy of 77.5%, 95% CI (71.5-87.1).Conclusions:
HRCT was found superior to RT-PCR in diagnosing COVID-19. A patient with positive HRCT findings should be treated as COVID 19 when RT-PCR is inaccessible or results are negative. A patient with negative HRCT requires complimentary RT-PCR and possibly follow up CT scans if symptoms persist before treating for COVID 19.Palavras-chave
Texto completo
- https://indexmedicus.afro.who.int/iah/fulltext/nomdufichier.pdf
- https://indexmedicus.afro.who.int/iah/fulltext/High resolution chest computed tomography findings in patients with clinically suspected COVID-19 pneumonia in Uganda a cross-sectional study_Nassanga Rita.pdf
- https://fi-admin.bvsalud.org/document/view/wh796
Texto completo:
1
Base de dados:
AIM
Assunto principal:
SARS-CoV-2
/
COVID-19
Idioma:
En
Revista:
Afr Health Sci
/
Afr. health sci. (Online)
/
African health sciences
/
African health sciences (Online)
/
African health sciences (Print)
Ano de publicação:
2023
Tipo de documento:
Article