RESUMEN
BACKGROUND: A prospective observational cohort study of COVID-19 patients in a single Emergency Department (ED) showed that sTREM-1- and IL-6-based algorithms were highly predictive of adverse outcome (Van Singer et al. J Allergy Clin Immunol 2021). We aim to validate the performance of these algorithms at ED presentation. METHODS: This multicentric prospective observational study of PCR-confirmed COVID-19 adult patients was conducted in the ED of three Swiss hospitals. Data of the three centers were retrospectively completed and merged. We determined the predictive accuracy of the sTREM-1-based algorithm for 30-day intubation/mortality. We also determined the performance of the IL-6-based algorithm using data from one center for 30-day oxygen requirement. RESULTS: 373 patients were included in the validation cohort, 139 (37%) in Lausanne, 93 (25%) in St.Gallen and 141 (38%) in EOC. Overall, 18% (93/373) patients died or were intubated by day 30. In Lausanne, 66% (92/139) patients required oxygen by day 30. The predictive accuracy of sTREM-1 and IL-6 were similar compared to the derivation cohort. The sTREM-1-based algorithm confirmed excellent sensitivity (90% versus 100% in the derivation cohort) and negative predictive value (94% versus 100%) for 30-day intubation/mortality. The IL-6-based algorithm performance was acceptable with a sensitivity of 85% versus 98% in the derivation cohort and a negative predictive value of 60% versus 92%. CONCLUSION: The sTREM-1 algorithm demonstrated good reproducibility. A prospective randomized controlled trial, comparing outcomes with and without the algorithm, is necessary to assess its safety and impact on hospital and ICU admission rates. The IL-6 algorithm showed acceptable validity in a single center and need additional validation before widespread implementation.
Asunto(s)
COVID-19 , Adulto , Humanos , Algoritmos , COVID-19/diagnóstico , Interleucina-6 , Estudios Prospectivos , Reproducibilidad de los Resultados , Estudios RetrospectivosRESUMEN
BACKGROUND: The Hospitalization or Outpatient Management of Patients With SARS-CoV-2 Infection (HOME-CoV) rule is a checklist of eligibility criteria for home treatment of patients with COVID-19, defined using a Delphi method. RESEARCH QUESTION: Is the HOME-CoV rule reliable for identifying a subgroup of COVID-19 patients with a low risk of adverse outcomes who can be treated at home safely? STUDY DESIGN AND METHODS: We aimed to validate the HOME-CoV rule in a prospective, multicenter study before and after trial of patients with probable or confirmed COVID-19 who sought treatment at the ED of 34 hospitals. The main outcome was an adverse evolution, that is, invasive ventilation or death, occurring within the 7 days after patient admission. The performance of the rule was assessed by the false-negative rate. The impact of the rule implementation was assessed by the absolute differences in the rate of patients who required invasive ventilation or who died and in the rate of patients treated at home, between an observational and an interventional period after implementation of the HOME-CoV rule, with propensity score adjustment. RESULTS: Among 3,000 prospectively enrolled patients, 1,239 (41.3%) demonstrated a negative HOME-CoV rule finding. The false-negative rate of the HOME-CoV rule was 4 in 1,239 (0.32%; 95% CI, 0.13%-0.84%), and its area under the receiver operating characteristic curve was 80.9 (95% CI, 76.5-85.2). On the adjusted populations, 25 of 1,274 patients (1.95%) experienced an adverse evolution during the observational period vs 12 of 1,274 patients (0.95%) during the interventional period: -1.00 (95% CI, -1.86 to -0.15). During the observational period, 858 patients (67.35%) were treated at home vs 871 patients (68.37%) during the interventional period: -1.02 (95% CI, -4.46 to 2.26). INTERPRETATION: A large proportion of patients treated in the ED with probable or confirmed COVID-19 have a negative HOME-CoV rule finding and can be treated safely at home with a very low risk of complications. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT04338841; URL: www.clinicaltrials.gov.