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Utility of conventional clinical risk scores in a low-risk COVID-19 cohort.
Ngiam, 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.
  • Ngiam JN; Department of Medicine, National University Health System, Singapore, Singapore.
  • Chew NWS; Department of Cardiology, National University Heart Centre Singapore, Singapore, Singapore.
  • Tham SM; Department of Infectious Diseases, National University Health System, 1E Kent Ridge Rd, NUHS Tower Block, Level 10, Singapore, 119228, Singapore.
  • Lim ZY; Department of Medicine, National University Health System, Singapore, Singapore.
  • Li TYW; Department of Medicine, National University Health System, Singapore, Singapore.
  • Cen S; Department of Medicine, National University Health System, Singapore, Singapore.
  • Tambyah PA; Department of Infectious Diseases, National University Health System, 1E Kent Ridge Rd, NUHS Tower Block, Level 10, Singapore, 119228, Singapore.
  • Santosa A; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Sia CH; Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Cross GB; Department of Rheumatology, National University Health System, Singapore, Singapore.
BMC Infect Dis ; 21(1): 1094, 2021 Oct 24.
Article in English | MEDLINE | ID: covidwho-1484304
ABSTRACT

BACKGROUND:

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: S12879-021-06768-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: S12879-021-06768-3