Correlation of Disease Severity with High-Resolution Computed Tomography (HRCT) Severity Scores in COVID-19 Patients - A Cross-Sectional Study

Authors

  • Abdul Rehman Azeem Dar Department of General Medicine, National University of Medical Sciences (NUMS) Rawalpindi Pakistan
  • Maira Aleem Department of Microbiology, National University of Medical Sciences (NUMS) Rawalpindi Pakistan
  • Muhammad Zafar Ali Qureshi Department of General Medicine, National University of Medical Sciences (NUMS) Rawalpindi Pakistan
  • Tariq Khan Department of General Medicine, National University of Medical Sciences (NUMS) Rawalpindi Pakistan

DOI:

https://doi.org/10.51253/pafmj.v74i2.10193

Keywords:

COVID-19, Disease Severity, High resolution computed tomography (HRCT) severity score

Abstract

Objective: To determine the relationship of High-Resolution Computed Tomography Chest Severity Scores with disease
severity in COVID-19 patients.
Study Design: Cross-sectional study.
Place and Duration of Study: Pak-Emirates Military Hospital, Rawalpindi Pakistan, from Oct to Dec 2021.
Methodology: The study included 173 symptomatic patients with positive COVID polymerase chain reaction. All patients
underwent high-resolution computed tomography chest scans and were given severity scores (from 0 to 40) based on the
number of lung segments involved. Disease severity was assessed based on oxygen saturation at room air, C-reactive protein
levels, and morality on the 21st day. High-resolution chest computed tomography scores were compared with parameters of
disease severity.
Results: Out of a total of 173 patients, 139(80%) were male, and 34(20%) were female, with a mean age of 62.79±13.87 years (17-
92 years). Chest computed tomography severity scores were positively correlated with C-reactive protein levels and mortality
on the 21st day (p<0.001). Oxygen saturation at room air decreased with increased involvement in chest scans.
Conclusion: Our data suggested that high-resolution computed tomography scores are highly correlated with disease severity
and patient outcomes, particularly mortality, in Coronavirus patients

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References

Özel M, Aslan A, Araç S. Use of the COVID-19 Reporting and

Data System (CO-RADS) classification and chest computed

tomography involvement score (CT-IS) in COVID-19

pneumonia. Radiol Med 2021; 126(5): 679-687.

https://doi.org/10.1007/s11547-021-01335-x

Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical

Characteristics of Coronavirus Disease 2019 in China. N Eng J

Med 2020; 382(18): 1708–1720.

https://doi.org/10.1056/NEJMoa2002032

Deng Y, Liu W, Liu K, Fang YY, Shang J, Zhou L, et al. Clinical

characteristics of fatal and recovered cases of coronavirus

disease 2019 in Wuhan, China: a retrospective study. Chin Med J

5; 133(11): 1261.

https://doi.org/10.1097/CM9.0000000000000824

Quirch M, Lee J, Rehman S. Hazards of the Cytokine Storm and

Cytokine-Targeted Therapy in Patients With COVID-19: Review.

J Med Internet Res 2020; 22(8): e20193.

https://doi.org/10.2196/20193

Lieveld AWE, Azijli K, Teunissen BP, van Haaften RM, Kootte

RS, van den-Berk IAH, et al. Chest CT in COVID-19 at the ED:

Validation of the COVID-19 Reporting and Data System (CORADS) and CT Severity Score: A Prospective, Multicenter,

Observational Study. Chest 2021; 159(3): 1126–1135.

https://doi.org/10.1016/j.chest.2020.11.026

Abbas S, Hayat A, Majeed N, Jaffar S, Asghar J, Ali S, et al.

Comparison Of Inflammatory Markers With Different Levels Of

Severity Of COVID-19 Disease. Pak Armed Forces Med J 2020;

(2): S455-458.

Adil M, Baig ZF, Amir M, Chatha SS, Habib A, Majid M, et al.

Neutrophil To Lymphocyte Ratio Vs Platelets To Lymphocyte

Ratio: Biomarkers To Predict Severity Of Disease And Their

Comparison In Patients Of COVID-19. Pak Armed Forces Med J

; 70(6): 1609–1615.

Xie J, Covassin N, Fan Z, Singh P, Gao W, Li G, et al. Association

Between Hypoxemia and Mortality in Patients With COVID-19.

Mayo Clin Proc 2020; 95(6): 1138–1147.

https://doi.org/10.1016/j.mayocp.2020.04.006

Qi J, He D, Yang D, Wang M, Ma W, Cui H, et al. Severityassociated markers and assessment model for predicting the

severity of COVID-19: a retrospective study in Hangzhou,

China. BMC Infect Dis 2021; 21(1): 1–10.

https://doi.org/10.1186/s12879-021-06509-6

Li J, Chen Z, Nie Y, Ma Y, Guo Q, Dai X. Identification of

Symptoms Prognostic of COVID-19 Severity: Multivariate Data

Analysis of a Case Series in Henan Province. J Med Internet Res

; 22(6). https://doi.org/10.2196/19636

Ameer K, Rafique A, Abbas S, Burki AM, Abbas B. Clinical

Presentation of Mild to Moderate COVID–19 Disease in Patients

Admitted at Tertiary Care Hospital Pakistan. Pak Armed Forces

Med J 2022; 72(1): 284-287.

Liu K, Fang YY, Deng Y, Liu W, Wang MF, Ma JP, et al. Clinical

characteristics of novel coronavirus cases in tertiary hospitals in

Hubei Province. Chin Med J 2020; 133(9): 1025–1031.

https://doi.org/10.1097/CM9.0000000000000744

Chen TL, Dai Z, Mo P, Li X, Ma Z, Song S, et al. Clinical

Characteristics and Outcomes of Older Patients with

Coronavirus Disease 2019 (COVID-19) in Wuhan, China: A

Single-Centered, Retrospective Study. J Gerontol 2020; 75(9):

–1795. https://doi.org/10.1093/gerona/glaa089

Colombi D, Bodini FC, Petrini M, Maffi G, Morelli N, Milanese

G, et al. Well-aerated Lung on Admitting Chest CT to Predict

Adverse Outcome in COVID-19 Pneumonia. Radiology 2020;

(2): E86–96. https://doi.org/10.1148/radiol.2020201433

Inoue A, Takahashi H, Ibe T, Ishii H, Kurata Y, Ishizuka Y, et al.

Comparison of semiquantitative chest CT scoring systems to

estimate severity in coronavirus disease 2019 (COVID-19)

pneumonia. Eur Radiol 2022; 32(5): 3513.

https://doi.org/10.1007/s00330-021-08435-2

Alshanbari HM, Sami W, Mehmood T, Aboud M, Alanazi T,

Hamza MA, et al. Prediction of COVID-19 severity from clinical

and biochemical markers: a single-center study from Saudi

Arabia. Eur Rev Med Pharmacol Sci 2022; 26(7): 2592–2601.

https://doi.org/10.26355/eurrev_202204_28497

Ali N. Elevated level of C‐reactive protein may be an early

marker to predict risk for severity of COVID‐19. J Med Virol

; 92(11): 2409–2411. https://doi.org/10.1002/jmv.26097

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Published

29-04-2024

How to Cite

Dar, A. R. A., Aleem, M., Muhammad Zafar Ali Qureshi, & Tariq Khan. (2024). Correlation of Disease Severity with High-Resolution Computed Tomography (HRCT) Severity Scores in COVID-19 Patients - A Cross-Sectional Study. Pakistan Armed Forces Medical Journal, 74(2), 501–505. https://doi.org/10.51253/pafmj.v74i2.10193

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