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1.
Emerg Med J ; 41(2): 83-88, 2024 Jan 22.
Article in English | MEDLINE | ID: mdl-37770120

ABSTRACT

BACKGROUND: Intranasal sufentanil is a potent opioid which can be used in patients with traumatic injuries presenting to the ED. Although previous studies have demonstrated the superiority of intranasal sufentanil over intravenous morphine in terms of pain relief, its clinical superiority in patients with traumatic injuries receiving adequate multimodal analgesia with acetaminophen and non-steroidal anti-inflammatory drugs is uncertain. We compared pain relief offered by intranasal sufentanil with that offered by oral and intravenous opioids in patients with acute traumatic injuries also receiving a specified regimen of non-opioid treatment. METHODS: In this single-centre, open-label, parallel-group, randomised controlled superiority trial conducted between January 2020 and February 2022, trauma patients presenting to the ED with a pain score of ≥7 on a visual analogue scale (VAS) were randomised to receive either intranasal sufentanil or other oral/intravenous opioids alongside oral/intravenous acetaminophen and non-steroidal anti-inflammatory drugs. The primary outcome was reduction in VAS score 15-20 min after randomisation. RESULTS: An intention-to-treat analysis included 170 out of 205 patients screened for inclusion. The intranasal sufentanil group (83 patients) showed a significantly greater reduction in pain when compared with the oral/intravenous opioid group (87 patients) 15-20 min after randomisation (reduction in VAS score 3.0 (IQR 1.7-5.0) vs 1.5 (IQR 0.9-3.0); p<0.001). Similarly, a greater reduction in pain was observed in the intranasal sufentanil group 60 min after randomisation (5.0 (IQR 3.0-7.0) vs 3.0 (IQR 2.0-5.3); p<0.001). However, side effects were more frequent in the intervention group (71.1% vs 23%; p<0.001). CONCLUSIONS: Intranasal sufentanil was associated with more effective pain relief than oral/intravenous opioids in patients with traumatic injuries treated with coanalgesia. Intranasal sufentanil could be considered for the management of pain in patients with traumatic injuries associated with severe pain. TRIAL REGISTRATION NUMBER: NCT04137198.


Subject(s)
Acute Pain , Sufentanil , Humans , Sufentanil/therapeutic use , Sufentanil/adverse effects , Analgesics, Opioid/therapeutic use , Acetaminophen/therapeutic use , Pain/drug therapy , Pain/etiology , Emergency Service, Hospital , Anti-Inflammatory Agents, Non-Steroidal/therapeutic use , Double-Blind Method , Acute Pain/drug therapy
2.
Front Med (Lausanne) ; 10: 1185779, 2023.
Article in English | MEDLINE | ID: mdl-37822474

ABSTRACT

Detection dogs were trained to detect SARS-CoV-2 infection based on armpit sweat odor. Sweat samples were collected using cotton pads under the armpits of negative and positive human patients, confirmed by qPCR, for periods of 15-30 min. Multiple hospitals and organizations throughout Belgium participated in this study. The sweat samples were stored at -20°C prior to being used for training purposes. Six dogs were trained under controlled atmosphere conditions for 2-3 months. After training, a 7-day validation period was conducted to assess the dogs' performances. The detection dogs exhibited an overall sensitivity of 81%, specificity of 98%, and an accuracy of 95%. After validation, training continued for 3 months, during which the dogs' performances remained the same. Gas chromatography/mass spectrometry (GC/MS) analysis revealed a unique sweat scent associated with SARS-CoV-2 positive sweat samples. This scent consisted of a wide variety of volatiles, including breakdown compounds of antiviral fatty acids, skin proteins and neurotransmitters/hormones. An acceptability survey conducted in Belgium demonstrated an overall high acceptability and enthusiasm toward the use of detection dogs for SARS-CoV-2 detection. Compared to qPCR and previous canine studies, the detection dogs have good performances in detecting SARS-CoV-2 infection in humans, using frozen sweat samples from the armpits. As a result, they can be used as an accurate pre-screening tool in various field settings alongside the PCR test.

3.
Eur J Trauma Emerg Surg ; 48(6): 4847-4855, 2022 Dec.
Article in English | MEDLINE | ID: mdl-35727343

ABSTRACT

PURPOSE: This study aimed to describe the demographic and clinical characteristics of individuals involved in electric scooter (E-scooter) accidents and the factors associated with these incidents. METHODS: We conducted a prospective observational study of individuals involved in E-scooter accidents admitted to the emergency department of Saint-Pierre Hospital. The highest abbreviated injury score above or equal to two classified the injury as significant. Injuries during working hours were compared to those during off-working hours. RESULTS: During the study period from June 1, 2019, to June 30, 2020, 170 individuals were admitted to the emergency department following an E-scooter accident. In 73.5% of the accidents, rented E-scooters were involved. Of the patients, 68.2% were male, 6.4% wore helmets, and 30% were under the influence of alcohol. Upper limb and cranial injuries were more frequently severe (abbreviated injury score ≥ 2) than other injuries (p < 0.05). Accidents during off-working hours were significantly related to alcohol consumption (p < 0.001), non-usage of helmets (p < 0.01), head and neck injuries (p < 0.01), and rented E-scooters (p < 0.01). Alcohol consumption was itself associated with the non-usage of helmets (p < 0.05) and major head and neck injuries (p < 0.001). CONCLUSION: Given the increasing popularity of E-scooters as an alternative mode of transportation, our study can inform public policy on patterns of injuries associated with E-scooter utilization for future injury prevention policies. Using helmets, avoiding alcohol consumption, and regulating use at night can improve outcomes in E-scooter accidents. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04778332.


Subject(s)
Head Protective Devices , Neck Injuries , Humans , Male , Female , Retrospective Studies , Accidents , Emergency Service, Hospital , Risk Assessment , Accidents, Traffic
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