ABSTRACT
Background Tachypnea is among the earliest signs of pulmonary decompensation. Contactless continuously respiratory rate monitoring might beuseful in isolated COVID-19 patients admitted in wards. We aim to determine whether continuous untethered ward respiratory rate patterns in hospitalized COVID-19 identify patients who require escalation of pulmonary management 24 hours ahead of time.Methods Single-center pilot prospective cohort study in COVID-19 patients who were cared for in routine wards. COVID-19 patients who has at least one escalation of pulmonary management were matched to 3 non-escalated patients. Contactless Breathing Monitoring was instituted after patients enrolled, and continued for 15 days unless hospital discharge, initiation of invasive mechanical ventilation, or death occurred. Respiratory rate data from the continuous monitor was not available to clinicians. The exposures were respiratory features over rolling periods of 30 min, 24 hours, and 72 hours before respiratory care escalation. The primary outcome was escalation in the pulmonary care beyond Venturi-mask.Results Among 125 included patients, 13 exhibited at least one escalation and were each matched to 3 non-escalated patients. A total of 28 escalation events were matched to 84 non-escalation episodes. The 30-min mean respiratory rate in escalated patients was 23 breaths per minute (bpm) ranging from 13 to 40 bpm, similar to the 22 bpm in non-escalated patients, although with less variability (range 14 to 31 bpm). However, higher respiratory rate variability, especially skewness over 1 day, was associated with higher incidence of an escalation event. Our overall model, based on continuous data, had a moderate accuracy with an AUC 0.81 (95%CI:0.73,0.88) and a good specificity 0.93 (95%CI:0.87,0.99).Conclusions Our pilot observational study suggests that continuous respiratory monitoring and respiratory rate variability are associated with the need for care escalation 24 hours in advance. ur results suggest that continuous respiratory monitoring is a valuable increment over intermittent monitoring.
Subject(s)
Ocular Motility Disorders , Tachypnea , Death , COVID-19ABSTRACT
Due to the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), deepening the host genetic contribution to severe COVID-19 may further improve our understanding about underlying disease mechanisms. Here, we describe an extended GWAS meta-analysis of 3,260 COVID-19 patients with respiratory failure and 12,483 population controls from Italy, Spain, Norway and Germany, as well as hypothesis-driven targeted analysis of the human leukocyte antigen (HLA) region and chromosome Y haplotypes. We include detailed stratified analyses based on age, sex and disease severity. In addition to already established risk loci, our data identify and replicate two genome-wide significant loci at 17q21.31 and 19q13.33 associated with severe COVID-19 with respiratory failure. These associations implicate a highly pleiotropic ~0.9-Mb 17q21.31 inversion polymorphism, which affects lung function and immune and blood cell counts, and the NAPSA gene, involved in lung surfactant protein production, in COVID-19 pathogenesis.
Subject(s)
COVID-19 , Respiratory InsufficiencyABSTRACT
The identification of factors predisposing to severe COVID-19 in young adults remains partially characterized. Low birth weight (LBW) alters cardiovascular and lung development and predisposes to adult disease. We hypothesized that LBW is a risk factor for severe COVID-19 in non-elderly subjects. We analyzed a prospective cohort of 397 patients (18-70y) with laboratory-confirmed SARS-CoV-2 infection attended in a tertiary hospital, where 15% required admission to Intensive Care Unit (ICU). Perinatal and current potentially predictive variables were obtained from all patients and LBW was defined as birth weight [≤]2,500 g. Age (adjusted OR (aOR) 1.04 [1-1.07], P=0.012), male sex (aOR 3.39 [1.72-6.67], P<0.001), hypertension (aOR 3.37 [1.69-6.72], P=0.001), and LBW (aOR 3.61 [1.55-8.43], P=0.003) independently predicted admission to ICU. The area under the receiver-operating characteristics curve (AUC) of this model was 0.79 [95% CI, 0.74-0.85], with positive and negative predictive values of 29.1% and 97.6% respectively. Results were reproduced in an independent cohort, from a web-based survey in 1,822 subjects who self-reported laboratory-positive SARS-CoV-2 infection, where 46 patients (2.5%) needed ICU admission (AUC 0.74 [95% CI 0.68-0.81]). LBW seems to be an independent risk factor for severe COVID-19 in non-elderly adults and might improve the performance of risk stratification algorithms.