High resolution chest computed tomography findings in patients with clinically suspected COVID-19 pneumonia in Uganda: a cross-sectional study.


Journal

African health sciences
ISSN: 1729-0503
Titre abrégé: Afr Health Sci
Pays: Uganda
ID NLM: 101149451

Informations de publication

Date de publication:
Dec 2023
Historique:
medline: 8 7 2024
pubmed: 8 7 2024
entrez: 8 7 2024
Statut: ppublish

Résumé

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. To describe the chest HRCT findings in patients with clinically suspected COVID-19 pneumonia and to compare its diagnostic accuracy to RT-PCR. . 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. 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). 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.

Sections du résumé

Background UNASSIGNED
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.
Main Objective UNASSIGNED
To describe the chest HRCT findings in patients with clinically suspected COVID-19 pneumonia and to compare its diagnostic accuracy to RT-PCR. .
Methods UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 38974254
doi: 10.4314/ahs.v23i4.12
pii: jAFHS.v23.i4.pg85
pmc: PMC11225467
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

85-101

Informations de copyright

© 2023 Nassanga R et al.

Auteurs

Rita Nassanga (R)

Makerere University College of Health Sciences, Department of Radiology.
St Francis Hospital, Nsambya, Department of Radiology.

Aloysius Gonzaga Mubuuke (AG)

Makerere University College of Health Sciences, Department of Radiology.

Randhawa Mangun (R)

Massachusetts General Hospital, Department of Radiology.

Max Crescent Tumusiime (MC)

St Francis Hospital, Nsambya, Department of Radiology.

Erem Geoffrey (E)

Makerere University College of Health Sciences, Department of Radiology.
St Francis Hospital, Nsambya, Department of Radiology.

Valeria Nabbosa (V)

St Francis Hospital, Nsambya, Department of Radiology.
Uganda Cancer Institute.

Francis Olweny (F)

Makerere University College of Health Sciences, Department of Epidemiology and Biostatics.

Faith Ameda (F)

Makerere University College of Health Sciences, Department of Radiology.

Sam Bugeza (S)

Makerere University College of Health Sciences, Department of Radiology.

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Classifications MeSH