ABSTRACT
Pandemics pose a major challenge for public health preparedness, requiring a coordinated inter- national response and the development of solid containment plans. Early and accurate identification of high-risk patients in the course of the current COVID-19 pandemic is vital for planning and making proper use of available resources. The purpose of this study was to identify the key variables that account for worse outcomes to create a predictive model that could be used effectively for triage. Through literature review, 44 variables that could be linked to an unfavorable course of COVID-19 disease were obtained, including clinical, laboratory, and X-ray variables. These were used for a 2-round modified Delphi processing with 14 experts to select a final list of variables with the greatest predictive power for the construction of a scoring system, leading to the creation of a new scoring system: the COVID-19 Severity Index. The analysis of the area under the curve for the COVID-19 Severity Index was 0.94 to predict the need for ICU admission in the following 24 hours against 0.80 for NEWS-2. Additionally, the digital medical record of the Hospital Italiano de Buenos Aires was electronically set for an automatic calculation and constant update of the COVID-19 Severity Index. Specifically designed for the current COVID-19 pandemic, COVID-19 Severity Index could be used as a reliable tool for strategic planning, organization, and administration of resources by easily identifying hospitalized patients with a greater need of intensive care.
ABSTRACT
BACKGROUND: Healthcare personnel are often at high risk of contamination when participating in airway management and other aerosol-generating procedures. AIM: To explore the differences in self-contamination after removal of gown and coverall personal protective equipment (PPE) using an ultraviolet-fluorescent solution. METHODS: This prospective, randomized, controlled crossover trial was set in a third-level university health centre in Buenos Aires, Argentina between August and October 2020. The study included 60 anaesthesia personnel volunteers, and no participants were excluded from the study. A two-period/two-intervention design was chosen; each intervention comprised audio-guided placement of PPE, full-body spraying of fluorescent solution, audio-guided removal of PPE, and self-contamination assessment through ultraviolet light scanning. The primary outcome was the mean within-participant difference (any traces) between PPE suits. Statistical significance was tested using t-tests for paired data. The allocation ratio was 25/35 (gown followed by coverall/coverall followed by gown). FINDINGS: Self-contamination after removal of coveralls was greater than that after removal of gowns, with a mean within-participant difference of 11.45 traces (95% confidence interval 8.26-14.635; P<0.001). Significant differences were found for the number of self-contaminated body zones, small fluorescent traces and large fluorescent traces. Removal of a gown was associated with a markedly lower risk of self-contamination. CONCLUSIONS: Quick one-step removal of a gown and gloves may reduce self-contamination in the arm/hand area. Fluorescent solutions can help to identify self-contamination and compare outcomes between available PPE suits. Repeated training sessions and enhanced knowledge on self-contamination following removal of PPE are paramount. CLINICAL TRIAL REGISTRATION NUMBER: NCT04763304 (on ClinicalTrials.gov).