RESUMO
The transmission risk of SARS-CoV-2 within hospitals can exceed that in the general community because of more frequent close proximity interactions (CPIs). Heterogeneity of risk across wards is still poorly described. We measured CPIs in 15 clinical wards across three hospitals using wearable sensors over 36 hours in spring 2020. This data was combined with a transmission model to estimate and compare transmission risks across wards. We found a four-fold range of epidemic risk between wards, with patients frequently presenting high risk to patients and healthcare workers (HCWs). Using a simulation study, we then assessed the potential impact on global risk of targeting individuals for prevention based on their contact patterns. We found that targeting individuals with the highest cumulative contact hours was most impactful. This study reveals patterns of interactions between individuals in hospital during a pandemic and opens new routes for research into airborne nosocomial risk. One Sentence SummaryWe measured contacts between staff, patients and visitors in 15 hospital wards, and used models to predict epidemic risk and evaluate interventions.
RESUMO
BackgroundLung point-of-care ultrasonography (L-POCUS) is highly effective in detecting pulmonary peripheral patterns and may allow early identification of patients who are likely to develop an acute respiratory distress syndrome (ARDS). We hypothesized that L-POCUS performed during the initial examination would identify non-severe COVID-19 patients with a high risk of getting worse. MethodsPOCUSCO was a prospective, multicenter study. Non-critical adult patients who were admitted to the emergency department (ED) for suspected or confirmed COVID-19 were included and had L-POCUS performed within 48 hours following admission. The severity of lung damage was assessed using the L-POCUS score based on 36 points for ARDS. The primary outcome was the rate of patients requiring intubation or who died within 14 days following inclusion. ResultsAmong 296 participating patients, 8 (2.7%) had primary outcome. The area under the curve (AUC) of the receiver operating characteristic of L-POCUS was 0.80 [95%CI:0.60-0.94]. The score values which achieved a sensibility > 95% in defining low-risk patients and a specificity > 95% in defining high-risk patients were <1 and [≥]16, respectively. The rate of patients with an unfavorable outcome was 0/95 (0%[95%CI:0-3.9]) for low-risk patients (score=0) versus 4/184 (2.17%[95%CI:0.8-5.5]) for intermediate-risk patients (score 1-15) and 4/17 (23.5%[95%CI:11.4-42.4]) for high-risk patients (score [≥]16). In patients with confirmed COVID-19 (n=58), the AUC of L-POCUS was 0.97 [95%CI:0.92-1.00]. ConclusionsL-POCUS allows risk-stratification of patients with suspected or confirmed COVID-19. These results should be confirmed in a population with a higher risk of an unfavorable outcome. Trial registration numberNCT04338100
