Risultati per: Tumore prostata, test della saliva piu’ attendibile del PSA

Introduction
In children, respiratory distress due to upper airway obstruction (UAO) is a common complication of extubation. The quantitative cuff-leak test (qtCLT) is a simple, rapid and non-invasive test that has not been extensively studied in children. The objective of the ongoing study whose protocol is reported here is to investigate how well the qtCLT predicts UAO-related postextubation respiratory distress in paediatric intensive care unit (PICU) patients.

Methods and analysis
Air Leak Test in the Paediatric Intensive Care Unit is a multicentre, prospective, observational study that will recruit 900 patients who are aged 2 days post-term to 17 years and ventilated through a cuffed endotracheal tube for at least 24 hours in any of 19 French PICUs. Within an hour of planned extubation, the qtCLT will be performed as a sequence of six measurements of the tidal volume with the cuff inflated then deflated. The primary outcome is the occurrence within 48 hours after extubation of severe UAO defined as combining a requirement for intravenous corticosteroid therapy and/or ventilator support by high-flow nasal cannula and/or by non-invasive ventilation or repeat invasive mechanical ventilation with a Westley score ≥4 with at least one point for stridor at each initiation. The results of the study are expected to identify risk factors for UAO-related postextubation respiratory distress and extubation failure, thereby identifying patient subgroups most likely to require preventive interventions. It will also determine whether qtCLT appears to be a reliable method to predict an increased risk for postextubation adverse events as severe UAO.

Ethics and dissemination
The study was approved by the Robert Debré University Hospital institutional review board (IRB) on September 2021 (approval #2021578). The report of Robert Debré University Hospital IRB is valid for all sites, given the nature of the study with respect to the French law. The results will be submitted for publication in a peer-reviewed journal.

Trial registration number
NCT05328206.

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Objective
Diagnostic testing is an important tool to combat the COVID-19 pandemic, yet access to and uptake of testing vary widely 3 years into the pandemic. The WHO recommends the use of COVID-19 self-testing as an option to help expand testing access. We aimed to calculate the cost of providing COVID-19 self-testing across countries and distribution modalities.

Design
We estimated economic costs from the provider perspective to calculate the total cost and the cost per self-test kit distributed for three scenarios that differed by costing period (pilot, annual), the number of tests distributed (actual, planned, scaled assuming an epidemic peak) and self-test kit costs (pilot purchase price, 50% reduction).

Setting
We used data collected between August and December 2022 in Brazil, Georgia, Malaysia, Ethiopia and the Philippines from pilot implementation studies designed to provide COVID-19 self-tests in a variety of settings—namely, workplace and healthcare facilities.

Results
Across all five countries, 173 000 kits were distributed during pilot implementation with the cost/test distributed ranging from $2.44 to $12.78. The cost/self-test kit distributed was lowest in the scenario that assumed implementation over a longer period (year), with higher test demand (peak) and a test kit price reduction of 50% ($1.04–3.07). Across all countries and scenarios, test procurement occupied the greatest proportion of costs: 58–87% for countries with off-site self-testing (outside the workplace, for example, home) and 15–50% for countries with on-site self-testing (at the workplace). Staffing was the next key cost driver, particularly for distribution modalities that had on-site self-testing (29–35%) versus off-site self-testing (7–27%).

Conclusions
Our results indicate that it is likely to cost between $2.44 and $12.78 per test to distribute COVID-19 self-tests across common settings in five heterogeneous countries. Cost-effectiveness analyses using these results will allow policymakers to make informed decisions on optimally scaling up COVID-19 self-test distribution programmes across diverse settings and evolving needs.