Predictors for development of critical illness amongst older adults with COVID-19: Beyond age to age-associated factors.

INTRODUCTION: Older adults with COVID-19 have disproportionately higher rates of severe disease and mortality. It is unclear whether this is attributable to age or attendant age-associated risk factors. This retrospective cohort study aims to characterize hospitalized older adults and examine if comorbidities, frailty and acuity of clinical presentation exert an age-independent effect on COVID-19 severity. METHODS: We studied 275 patients admitted to the National Centre of Infectious Disease, Singapore. We measured: 1)Charlson Comorbidity Index(CCI) as burden of comorbidities; 2)Clinical Frailty Scale(CFS) and Frailty Index(FI); and 3)initial acuity. We studied characteristics and outcomes of critical illness, stratified by age groups (50-59,60-69 and ≥70). We conducted hierarchical logistic regression in primary model(N = 262, excluding direct admissions to intensive care unit) and sensitivity analysis(N = 275): age and gender in base model, entering CCI, frailty (CFS or FI) and initial acuity sequentially. RESULTS: The ≥70 age group had highest CCI(p<.001), FI(p<.001) and CFS(p<.001), and prevalence of geriatric syndromes (polypharmacy,53.5%; urinary symptoms,37.5%; chronic pain,23.3% and malnutrition,23.3%). Thirty-two (11.6%) developed critical illness. In the primary regression model, age was not predictive for critical illness when a frailty predictor was added. Significant predictors in the final model (AUC 0.809) included male gender (p=.012), CFS (p=.038), and high initial acuity (p=.021) but not CCI or FI. In sensitivity analysis, FI (p=.028) but not CFS was significant. CONCLUSIONS: In hospitalized older adults with COVID-19, geriatric syndromes are not uncommon. Acuity of clinical presentation and frailty are important age-independent predictors of disease severity. CFS and FI provide complimentary information in predicting interval disease progression and rapid disease progression respectively.

Statin use is associated with lower disease severity in COVID-19 infection.

We aim to study the association of hyperlipidemia and statin use with COVID-19 severity. We analysed a retrospective cohort of 717 patients admitted to a tertiary centre in Singapore for COVID-19 infection. Clinical outcomes of interest were oxygen saturation ≤ 94% requiring supplemental oxygen, intensive-care unit (ICU) admission, invasive mechanical-ventilation and death. Patients on long term dyslipidaemia medications (statins, fibrates or ezetimibe) were considered to have dyslipidaemia. Logistic regression models were used to study the association between dyslipidaemia and clinical outcomes adjusted for age, gender and ethnicity. Statin treatment effect was determined, in a nested case-control design, through logistic treatment models with 1:3 propensity matching for age, gender and ethnicity. All statistical tests were two-sided, and statistical significance was taken as p < 0.05. One hundred fifty-six (21.8%) patients had dyslipidaemia and 97% of these were on statins. Logistic treatment models showed a lower chance of ICU admission for statin users when compared to non-statin users (ATET: Coeff (risk difference): - 0.12 (- 0.23, - 0.01); p = 0.028). There were no other significant differences in other outcomes. Statin use was independently associated with lower ICU admission. This supports current practice to continue prescription of statins in COVID-19 patients.