Date of Award


Document Type


Degree Name

Master of Medicine (MMed)

First Supervisor/Advisor

Dr. Edward Nganga

Second Supervisor/Advisor

Dr. Samuel Gitau

Third Supervisor/Advisor

Prof. Reena Shah


Imaging and Diagnostic Radiology (East Africa)


Background: Imaging with chest computed tomography (CT) has demonstrated a role in stratifying COVID-19 patients into different clinical severity groups thus facilitating appropriate care decisions. In a limited number of settings, the wider applicability and reproducibility of these findings is unclear.

Objectives: To determine the association between chest CT severity score and clinical severity of illness in RT-PCR confirmed SARS-CoV2 patients. To evaluate the relationship of CT chest severity score with short term clinical outcome of patients.

Methods: CT chest of 172 SARS-CoV2 patients who accessed care at Aga Khan University Hospital Nairobi between 14th March and 31st December 2020 were retrospectively scored for CT severity of disease using a 5-point score for lobar involvement (0:0%; 1,75%). CT was compared with clinical severity of disease. Logistic regression analysis was performed to assess the CT score utility in predicting short term clinical outcome.

Results: Majority of the study population were male 127(73.8%) and only 12() presented within 48 hours of symptom onset. The commonest presenting symptoms were cough 118 (68.6%), fever 81 (47.1%) and difficulty breathing 69(40.1%). CT score had fair positive correlation with clinical severity r=0.378. CT score was significantly higher in the severe category versus the moderate category (p

Conclusion: Fair positive correlation of CT severity with clinical severity of COVID-19 pneumonia and less than perfect inter-rater agreement on CT severity scoring limits application of CT derived COVID-19 severity score.

Included in

Radiology Commons