Research Article

Can Mortality Be Predicted with Semi-Quantitative Visual Scoring in Coronavirus Disease?

Volume: 11 Number: 1 March 22, 2021
TR EN

Can Mortality Be Predicted with Semi-Quantitative Visual Scoring in Coronavirus Disease?

Abstract

OBJECTIVE: The study was aimed to predict the COVID 19 prognosis using a semi-quantitative scoring method with computed tomography (CT). MATERIALS AND METHODS: From April 1 to June 25, 2020, 108 symptomatic COVID-19 patients were enrolled and followed up until they were discharged or died. CT scans were reviewed for the patterns and distribution of lung abnormalities, total CT scores and number of lobes involved. A semi-quantitative CT score was calculated based on the extent of lobar involvement (0:0%; 1:5–25%; 2:26–50%; 3:51–75%; 4, > 75%; range 0–4; global score 0–20). The predictive role of the CT score on the prognosis of the patients was evaluated statistically. RESULTS: The mean global CT score was 7.47±5.18. 12 patient did not show any parenchymal involvement at CT and was therefore scored as 0. Comparisons have been made between lobes for each lung. Regarding the right lung, mean CT score was significantly higher in right lower lobe than in middle lobe (p=0.001) and right upper lobe (p=0.001); mean CT score was significantly higher in right middle lobe than in upper lobe (p=0.001). Concerning the left lung, mean CT score was significantly higher in left lower lobe than in left upper lobe (p =0.001). Mean global CT score of survival group was 5.53±3.94, while mortal group was 9.40±5.57. The score of mortal group was significantly higher than survival group (p=0.001). CONCLUSION: The imaging features and dynamic changes could provide the most direct evidence for assessing the severity of the disease and the prognosis. Simple scoring method according to CT scans may help triage patients and screening patients who need more aggressive treatment and closely monitoring.

Keywords

References

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Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Publication Date

March 22, 2021

Submission Date

November 25, 2020

Acceptance Date

January 5, 2021

Published in Issue

Year 2021 Volume: 11 Number: 1

APA
Karacan, K., & Karacan, A. (2021). Can Mortality Be Predicted with Semi-Quantitative Visual Scoring in Coronavirus Disease? Sakarya Medical Journal, 11(1), 91-96. https://doi.org/10.31832/smj.831560
AMA
1.Karacan K, Karacan A. Can Mortality Be Predicted with Semi-Quantitative Visual Scoring in Coronavirus Disease? Sakarya Medical Journal. 2021;11(1):91-96. doi:10.31832/smj.831560
Chicago
Karacan, Keziban, and Alper Karacan. 2021. “Can Mortality Be Predicted With Semi-Quantitative Visual Scoring in Coronavirus Disease?”. Sakarya Medical Journal 11 (1): 91-96. https://doi.org/10.31832/smj.831560.
EndNote
Karacan K, Karacan A (March 1, 2021) Can Mortality Be Predicted with Semi-Quantitative Visual Scoring in Coronavirus Disease? Sakarya Medical Journal 11 1 91–96.
IEEE
[1]K. Karacan and A. Karacan, “Can Mortality Be Predicted with Semi-Quantitative Visual Scoring in Coronavirus Disease?”, Sakarya Medical Journal, vol. 11, no. 1, pp. 91–96, Mar. 2021, doi: 10.31832/smj.831560.
ISNAD
Karacan, Keziban - Karacan, Alper. “Can Mortality Be Predicted With Semi-Quantitative Visual Scoring in Coronavirus Disease?”. Sakarya Medical Journal 11/1 (March 1, 2021): 91-96. https://doi.org/10.31832/smj.831560.
JAMA
1.Karacan K, Karacan A. Can Mortality Be Predicted with Semi-Quantitative Visual Scoring in Coronavirus Disease? Sakarya Medical Journal. 2021;11:91–96.
MLA
Karacan, Keziban, and Alper Karacan. “Can Mortality Be Predicted With Semi-Quantitative Visual Scoring in Coronavirus Disease?”. Sakarya Medical Journal, vol. 11, no. 1, Mar. 2021, pp. 91-96, doi:10.31832/smj.831560.
Vancouver
1.Keziban Karacan, Alper Karacan. Can Mortality Be Predicted with Semi-Quantitative Visual Scoring in Coronavirus Disease? Sakarya Medical Journal. 2021 Mar. 1;11(1):91-6. doi:10.31832/smj.831560

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