Please use this identifier to cite or link to this item: https://doi.org/10.1186/s12879-021-06768-3
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dc.titleUtility of conventional clinical risk scores in a low-risk COVID-19 cohort
dc.contributor.authorNgiam, Jinghao Nicholas
dc.contributor.authorChew, Nicholas W. S.
dc.contributor.authorTham, Sai Meng
dc.contributor.authorLim, Zhen Yu
dc.contributor.authorLi, Tony Y. W.
dc.contributor.authorCen, Shuyun
dc.contributor.authorTambyah, Paul Anantharajah
dc.contributor.authorSantosa, Amelia
dc.contributor.authorSia, Ching-Hui
dc.contributor.authorCross, Gail Brenda
dc.date.accessioned2022-10-26T09:01:25Z
dc.date.available2022-10-26T09:01:25Z
dc.date.issued2021-10-24
dc.identifier.citationNgiam, Jinghao Nicholas, Chew, Nicholas W. S., Tham, Sai Meng, Lim, Zhen Yu, Li, Tony Y. W., Cen, Shuyun, Tambyah, Paul Anantharajah, Santosa, Amelia, Sia, Ching-Hui, Cross, Gail Brenda (2021-10-24). Utility of conventional clinical risk scores in a low-risk COVID-19 cohort. BMC Infectious Diseases 21 (1) : 1094. ScholarBank@NUS Repository. https://doi.org/10.1186/s12879-021-06768-3
dc.identifier.issn1471-2334
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/233543
dc.description.abstractBackground: Several specific risk scores for Coronavirus disease 2019 (COVID-19) involving clinical and biochemical parameters have been developed from higher-risk patients, in addition to validating well-established pneumonia risk scores. We compared multiple risk scores in predicting more severe disease in a cohort of young patients with few comorbid illnesses. Accurately predicting the progression of COVID-19 may guide triage and therapy. Methods: We retrospectively examined 554 hospitalised COVID-19 patients in Singapore. The CURB-65 score, Pneumonia Severity Index (PSI), ISARIC 4C prognostic score (4C), CHA2DS2-VASc score, COVID-GRAM Critical Illness risk score (COVID-GRAM), Veterans Health Administration COVID-19 index for COVID-19 Mortality (VACO), and the “rule-of-6” score were compared for three performance characteristics: the need for supplemental oxygen, intensive care admission and mechanical ventilation. Results: A majority of patients were young (? 40 years, n = 372, 67.1%). 57 (10.3%) developed pneumonia, with 16 (2.9% of study population) requiring supplemental oxygen. 19 patients (3.4%) required intensive care and 2 patients (0.5%) died. The clinical risk scores predicted patients who required supplemental oxygenation and intensive care well. Adding the presence of fever to the CHA2DS2-VASc score and 4C score improved the ability to predict patients who required supplemental oxygen (c-statistic 0.81, 95% CI 0.68–0.94; and 0.84, 95% CI 0.75–0.94 respectively). Conclusion: Simple scores including well established pneumonia risk scores can help predict progression of COVID-19. Adding the presence of fever as a parameter to the CHA2DS2-VASc or the 4C score improved the performance of these scores in a young population with few comorbidities. © 2021, The Author(s).
dc.publisherBioMed Central Ltd
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.subjectCOVID-19
dc.subjectFever
dc.subjectOutcomes
dc.subjectRisk score
dc.subjectSingapore
dc.typeArticle
dc.contributor.departmentMEDICINE
dc.description.doi10.1186/s12879-021-06768-3
dc.description.sourcetitleBMC Infectious Diseases
dc.description.volume21
dc.description.issue1
dc.description.page1094
dc.published.statePublished
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