The medical management of casualties in a chemical contaminated environment : a start for the CBRNE defence research program for clinicians
Bibliographic record
Abstract
The main objective of this research program was to assess the status of clinical knowledge and evidence-based practice in the medical management of mass casualties, contaminated by exposure to a chemical weapon, during a medical evacuation, which is defined as from the incident site of a contaminated environment up-to a clean zone. First, in our published systematic review, we assessed past medical responses during a chemical attack. The lack of clinical data and intervention-related information, such as protection and decontamination capabilities, stresses not only the need to study acute or prehospital settings, but also a set of integrated competences in the contaminated environment (i.e.: protection, decontamination and clinical interventions) (Prospero registered CRD42019104473). Second, a method paper which presents an ongoing international retro-prospective observational study on the medical responses during a chemical attack has been submitted for publication. The goal of this study is to describe the acute clinical management of patients in the contaminated zone (1970-2036; US Clinical trial registered NCT05026645). Data gathering is currently ongoing with the use of a comprehensive online registry programmed by the Quebec Respiratory Health Research Network. In the third and fourth, we started the development of two technological innovations to improve the medical management of mass casualties, caused by a chemical weapon, in contaminated environments. The first is the creation of a mobile laboratory for the continuity of our work in both indoor and outdoor settings. The other is the launch of a research program, named VIMY Multi-System, which includes: (1) An electronic casualty card system integrating the United Kingdom National Early Warning System; (2) a forward-deployable telemedicine capability prototype – currently undergoing integration testing – that incorporates drone technology to monitor patients being clinically managed in a simulated chemically contaminated environment. Our fifth published paper, on the methods of oxygen conservation with an automated titration system (n= 60; US Clinical trial registered NCT02782936 and NCT02809807), showed that such an automated system may constitute a viable medical solution for interventions in a contaminated environment and also constitutes one of the possible solutions to improve therapeutic interventions. The system studied allows the maintenance of adequate oxygenation while reducing the use of oxygen in patients, making it possible to extend their treatment duration even under conditions of limited logistical resources in oxygen. The oxygen flow provided by the automated system allows a mean reduction in administered oxygen quantities of more than six-fold when decreasing the prescribed SpO2 target from 98 to 90% (5 L/min to1 L/min, p <0.001) in hospitalized patients with respiratory disorders. The comparison was conducted on the basis of conservative flow rate targets reported in the literature (2.5, 5.0, 10.0 and 15.0 l/min). When it comes to the automated correction of a hypoxemic condition in sick patients and healthy subjects wearing a gas mask, the prescribed SpO2 target resulted in maximum administered oxygen flow rates of 0.2 L/min and 2.9 L/min respectively. These results show a possible logistic and therapeutic optimization in the use of oxygen. Finally, these initial advances will be integrated as our research work progresses in order to improve clinical evidence-based practices in contaminated environments due to the use of chemical weapons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.092 | 0.174 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".