Baseline plasma SARS-CoV-2 RNA detection predicts an adverse COVID-19 evolution in moderate to severe hospitalized patients.

BACKGROUND: SARS-CoV-2 is a single-stranded RNA virus, known to be the causative agent of COVID-19. As the resulting disease shows a very heterogeneous range of clinical manifestations, the identification of early biomarkers allowing patients stratification according to the expected disease severity is still an unmet clinical need. METHODS: In this observational prospective cohort study, 137 consecutive patients, testing positive for SARS-CoV-2 infection by nasopharyngeal swab RT-PCR or antigenic test, were enrolled to evaluate their plasma viral load at the time of hospitalization. RESULTS: Even if all of them had a molecular diagnosis of COVID-19, only 29 patients showed a detectable plasma SARS-CoV-2 RNAemia. Such viremic patients also showed other clinical and laboratory finding alterations (increased troponin I, IL-6, RDW-CV, and creatinine levels along with decreased platelet count and glomerular filtration rate). A plasma detectable RNA viral load predicted in hospital death or ICU admission with an odds ratio of 3.53 (CI: 1.44-8.64, P=0.0058), while the lack of a detectable viral load was associated with a faster recovery, with an odds ratio of 4.06 (CI: 1.72-9.59, P=0.0014). These findings were confirmed in multivariate models including age, sex and baseline National Early Warning Score 2 and arterial oxygen tension over inspired oxygen fraction ratio. CONCLUSIONS: Our data thus suggest that plasma viral RNA load at the time of hospital admission could represent a useful independent biomarker allowing early patients' stratification according to the expected disease evolution, and driving clinical decisions tailored on the specific needs of the individual patient.

Pattern of Emergency Department referral during the COVID-19 outbreak in Italy.

BACKGROUND: The Coronavirus disease (COVID-19) outbreak is putting the European National Health Systems under pressure. Interestingly, Emergency Department (ED) referrals for other reasons than COVID-19 seem to have declined steeply. In the present paper, we aimed to verify how the COVID-19 outbreak changed ED referral pattern. METHODS: We retrospectively reviewed the clinical records of patients referred to the ED of a University Hospital in Northern Italy from 1 March to 13 April 2020. We compared the following data with those belonging to the same period in 2019: number of EDs accesses, rate of hospital admission, frequencies of the most common causes of ED referral, priority codes of access. RESULTS: The number of ED referrals during the COVID-19 outbreak was markedly reduced when compared to the same period in 2019 (3059 vs. 5691; -46.3%). Conversely, the rate of hospital admission raised from 16.9% to 35.4% (P<0.0001), with a shift toward higher priority codes of ED admission. In 2020, we observed both a reduction of the number of patients referred for both traumatic (513, 16.8% vs. 1544, 27.1%; χ2=118.7, P<0.0001) and non-traumatic (4147 vs. 2546) conditions. Among the latter, suspected COVID-19 accounted for 1101 (43.2%) accesses. CONCLUSIONS: The COVID-19 pandemic completely changed the pattern of ED referral in Italy, with a marked reduction of the accesses to the hospitals. This could be related to a limited exposure to traumas and to a common fear of being infected during EDs in-stay. This may limit the misuse of EDs for non-urgent conditions but may also delay proper referrals for urgent conditions.