Udayana COVID-19 Scoring System: a simple diagnosing aid for early detection of COVID-19

Authors

DOI:

https://doi.org/10.33448/rsd-v12i1.39179

Keywords:

COVID-19; Diganosis; Scoring system.

Abstract

Coronavirus Disease-19 (COVID-19) is a highly transmittable disease. While the most common symptoms of COVID-19 include fever, cough, and fatigue, severe symptoms could feature acute respiratory distress syndrome and severe pneumonia. Reverse-transcription polymerase chain reaction (RT-PCR) remains the gold standard for diagnosing COVID-19. Unfortunately, it has high cost, extensive waiting time, and low availability in remote areas. Therefore, we developed the Udayana COVID-19 Scoring System (UCSS) for quick detection of COVID-19. This study aims to determine the cutoff score and measure the sensitivity and specificity of the UCSS. We conducted an observational cross-sectional study from June 2020 to July 2020. A questionnaire consisting of 3 objective and subjective scores assesses COVID-19 symptoms and risk factors. Participants were patients suspected of COVID-19 awaiting RT-PCR test results. The UCSS total score then compared with the RT-PCR test result and analyzed to determine the cutoff score, sensitivity, and specificity. 150 participants were included in this study (74 male, 49.3%; mean age 42 ± 15.7). The UCSS total score was significantly correlated with RT-PCR test result (p-value = 0.000). The receiving operator characteristic analysis showed an optimal cutoff score of 7, with a sensitivity of 72% and specificity of 71%. Therefore, the UCSS’ accuracy is at a moderate level. The UCSS showed acceptable sensitivity and specificity, and has the potential to be used as a diagnostic aid for COVID-19 early detection. Further study in diverse areas and larger sample size are needed.

References

Cao, Y., Li, Q., Chen, J., Guo, X., Miao, C., Yang, H., Chen, Z., Li, C., & Li, L. (2020). Hospital Emergency Management Plan During the COVID-19 Epidemic. In Academic Emergency Medicine. 27(4), 309–311. https://doi.org/10.1111/acem.13951

Chu, A. W. H., Chan, W. M., Ip, J. D., Yip, C. C. Y., Chan, J. F. W., Yuen, K. Y., & To, K. K. W. (2020). Evaluation of simple nucleic acid extraction methods for the detection of SARS-CoV-2 in nasopharyngeal and saliva specimens during global shortage of extraction kits. Journal of Clinical Virology, 129, 104519. https://doi.org/10.1016/j.jcv.2020.104519

Cohen, A. N., Kessel, B., & Milgroom, M. G. (2020). Diagnosing SARS-CoV-2 infection: The danger of over-reliance on positive test results. In medRxiv (p. 2020.04.26.20080911). medRxiv. https://doi.org/10.1101/2020.04.26.20080911

Finch, W. H., & Hernández Finch, M. E. (2020). Poverty and Covid-19: Rates of Incidence and Deaths in the United States During the First 10 Weeks of the Pandemic. Frontiers in Sociology, 5, 47. https://doi.org/10.3389/fsoc.2020.00047

Foppiani, A., Bertoli, S., Battezzati, A., & Zuccotti, G. (2020). Data to guide the application of the new WHO criteria for releasing COVID-19 patients from isolation. In Pharmacological Research (Vol. 160). Academic Press. https://doi.org/10.1016/j.phrs.2020.105063

Galea-Pace, S. (2020, July). McKinsey: Overcoming Supply Chain Shortages due to COVID-19 | Digital Supply Chain | Supply Chain Digital. Supply Chain Digital.

Gostic, K. M., Gomez, A. C. R., Mummah, R. O., Kucharski, A. J., & Lloyd-Smith, J. O. (2020). Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19. ELife, 9. https://doi.org/10.7554/eLife.55570

Hur, J., & Chang, M. C. (2020). Usefulness of an Online Preliminary Questionnaire under the COVID-19 Pandemic. In Journal of Medical Systems (Vol. 44, Issue 7, pp. 1–2). Springer. https://doi.org/10.1007/s10916-020-01586-7

Jiang, F., Deng, L., Zhang, L., Cai, Y., Cheung, C. W., & Xia, Z. (2020). Review of the Clinical Characteristics of Coronavirus Disease 2019 (COVID-19). In Journal of General Internal Medicine (Vol. 35, Issue 5, pp. 1545–1549). Springer. https://doi.org/10.1007/s11606-020-05762-w

Kerboua, K. E. (2021). NLR: A Cost-effective Nomogram to Guide Therapeutic Interventions in COVID-19. In Immunological Investigations (Vol. 50, Issue 1, pp. 92–100). Taylor and Francis Ltd. https://doi.org/10.1080/08820139.2020.1773850

Kwon, K. T., Ko, J. H., Shin, H., Sung, M., & Kim, J. Y. (2020). Drive-through screening center for covid-19: A safe and efficient screening system against massive community outbreak. Journal of Korean Medical Science, 35(11), 123. https://doi.org/10.3346/jkms.2020.35.e123

Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., & Lessler, J. (2020). The incubation period of coronavirus disease 2019 (CoVID-19) from publicly reported confirmed cases: Estimation and application. Annals of Internal Medicine, 172(9), 577–582. https://doi.org/10.7326/M20-0504

Lyons-Weiler, J. (2021). Balance of Risk in COVID-19 Reveals the Extreme Cost of False Positives. In International Journal of Vaccine Theory, Practice, and Research (Vol. 1, Issue 2).

Manski, C. F., & Molinari, F. (2021). Estimating the COVID-19 infection rate: Anatomy of an inference problem. Journal of Econometrics, 220(1), 181–192. https://doi.org/10.1016/j.jeconom.2020.04.041

McIntosh, K., & Hirsh, M. B. A. (2021). COVID-19: Epidemiology, virology, and prevention - UpToDate. Uptodate. https://www.uptodate.com/contents/covid-19-epidemiology-virology-and-prevention

Moghadas, S. M., Fitzpatrick, M. C., Sah, P., Pandey, A., Shoukat, A., Singer, B. H., & Galvani, A. P. (2020). The implications of silent transmission for the control of COVID-19 outbreaks. Proceedings of the National Academy of Sciences of the United States of America, 117(30), 17513–17515. https://doi.org/10.1073/pnas.2008373117

Morawska, L., & Milton, D. K. (2020). It Is Time to Address Airborne Transmission of Coronavirus Disease 2019 (COVID-19). In Clinical Infectious Diseases (Vol. 71, Issue 9, pp. 2311–2313). Oxford University Press. https://doi.org/10.1093/cid/ciaa939

Park, M., Cook, A. R., Lim, J. T., Sun, Y., & Dickens, B. L. (2020). A Systematic Review of COVID-19 Epidemiology Based on Current Evidence. Journal of Clinical Medicine, 9(4), 967. https://doi.org/10.3390/jcm9040967

Peiffer-Smadja, N., Lucet, J. C., Bendjelloul, G., Bouadma, L., Gerard, S., Choquet, C., Jacques, S., Khalil, A., Maisani, P., Casalino, E., Descamps, D., Timsit, J. F., Yazdanpanah, Y., & Lescure, F. X. (2020). Challenges and issues about organizing a hospital to respond to the COVID-19 outbreak: experience from a French reference centre. In Clinical Microbiology and Infection (Vol. 26, Issue 6, pp. 669–672). Elsevier B.V. https://doi.org/10.1016/j.cmi.2020.04.002

Purwa, & Sucahya, K. (2020). Barriers to Covid-19 RT-PCR Testing in Indonesia: A Health Policy Perspective. In Journal of Indonesian Health Policy and Administration (Vol. 5, Issue 2).

Rothan, H. A., & Byrareddy, S. N. (2020). The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. In Journal of Autoimmunity (Vol. 109). Academic Press. https://doi.org/10.1016/j.jaut.2020.102433

Sastroasmoro, S., & Ismael, S. (2011). Dasar-dasar Metodologi Penelitian Klinis (4th ed.). Sagung Seto.

Surkova, E., Nikolayevskyy, V., & Drobniewski, F. (2020). False-positive COVID-19 results: hidden problems and costs. In The Lancet Respiratory Medicine (Vol. 8, Issue 12, pp. 1167–1168). Lancet Publishing Group. https://doi.org/10.1016/S2213-2600(20)30453-7

Tassis, B., Lunghi, G., Frattaruolo, M. P., Ruggiero, M., Somigliana, E., & Ferrazzi, E. (2020). Effectiveness of a COVID‐19 screening questionnaire for pregnant women at admission to an obstetric unit in Milan. International Journal of Gynecology & Obstetrics, 150(1), 124–126. https://doi.org/10.1002/ijgo.13191

Zheng, Y., Wang, L., & Ben, S. (2021). Meta‐analysis of chest CT features of patients with COVID‐19 pneumonia. Journal of Medical Virology, 93(1), 241–249. https://doi.org/10.1002/jmv.26218

Downloads

Published

12/01/2023

How to Cite

PURNAMASIDHI, C. A. W.; WIRAWAN , I. M. A. .; WARDHANA, D. P. W. .; KRISNAWARDANI K, C. I. Y. .; WIDIANA, I. G. R. .; MERATI, K. T. P. . Udayana COVID-19 Scoring System: a simple diagnosing aid for early detection of COVID-19. Research, Society and Development, [S. l.], v. 12, n. 1, p. e29312139179, 2023. DOI: 10.33448/rsd-v12i1.39179. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/39179. Acesso em: 22 dec. 2024.

Issue

Section

Health Sciences