The comparison of aerosol exposures to endoscopy personnel performing diagnostic upper gastrointestinal endoscopy in patients with and without head box: A randomized control trial.

BACKGROUND AND AIMS: Esophagogastroduodenoscopy (EGD) has been identified as an aerosol-generating procedure (AGP) during the COVID-19 pandemic. The risk of AGP and benefits of utilizing protective measures have never been fully studied. METHODS: A randomized control, open-label study in patients scheduled for diagnostic EGD between September and December 2021 was conducted. Patients were randomly assigned to either head box group or without head box group (control group). Particles were measured with six-size particle counters at the nurse anesthetist and endoscopist position. Primary composite outcomes were the mean difference of aerosol particle levels during and before EGD at the nurse anesthetist face position and at the endoscopist face position. Secondary outcomes were factors increasing aerosol particle levels and safety of the head box. RESULTS: From 196 enrolled patients, 190 were analyzed. Baseline characteristics were not different between the two groups. The mean distance between endoscopist face and patient mouth was 67.2 ± 4.9 cm. The mean differences of 0.3-, 0.5-, and 1.0-µm particles during the procedure and at baseline before the procedure at nurse anesthetist position and the mean differences of 0.3-µm particles at the endoscopist position was found to have decreased in the head box group and increased in the control group (P < 0.001, 0.001, 0.014, and P < 0.001, respectively). Cough, burping, and body movement increased aerosol particles. No additional adverse events were observed in the head box group. CONCLUSIONS: EGD with the head box is safe and can reduce significant aerosolization to endoscopy personnel including nurse anesthetists and endoscopists.

Artificial intelligence assists operators in real-time detection of focal liver lesions during ultrasound: A randomized controlled study.

PURPOSE: Detection of hepatocellular carcinoma (HCC) is crucial during surveillance by ultrasound. We previously developed an artificial intelligence (AI) system based on convolutional neural network for detection of focal liver lesions (FLLs) in ultrasound. The primary aim of this study was to evaluate whether the AI system can assist non-expert operators to detect FLLs in real-time, during ultrasound examinations. METHOD: This single-center prospective randomized controlled study evaluated the AI system in assisting non-expert and expert operators. Patients with and without FLLs were enrolled and had ultrasound performed twice, with and without AI assistance. McNemar's test was used to compare paired FLL detection rates and false positives between groups with and without AI assistance. RESULTS: 260 patients with 271 FLLs and 244 patients with 240 FLLs were enrolled into the groups of non-expert and expert operators, respectively. In non-experts, FLL detection rate in the AI assistance group was significantly higher than the no AI assistance group (36.9 % vs 21.4 %, p < 0.001). In experts, FLL detection rates were not significantly different between the groups with and without AI assistance (66.7 % vs 63.3 %, p = 0.32). False positive detection rates in the groups with and without AI assistance were not significantly different in both non-experts (14.2 % vs 9.2 %, p = 0.08) and experts (8.6 % vs 9.0 %, p = 0.85). CONCLUSIONS: The AI system resulted in significant increase in detection of FLLs during ultrasound examinations by non-experts. Our findings may support future use of the AI system in resource-limited settings where ultrasound examinations are performed by non-experts. The study protocol was registered under the Thai Clinical Trial Registry (TCTR20201230003), which is part of the WHO ICTRP Registry Network. The registry can be accessed via the following URL: https://trialsearch.who.int/Trial2.aspx?TrialID=TCTR20201230003.

Leptospirosis manifested with severe pulmonary haemorrhagic syndrome successfully treated with venovenous extracorporeal membrane oxygenation.

Leptospirosis, one of the most important of neglected tropical diseases, is a common zoonosis in the tropics. Recent reports have demonstrated that pulmonary haemorrhage is one of the fatal complications of severe leptospirosis. In this report, we present a case of leptospirosis manifested with severe pulmonary haemorrhagic syndrome successfully treated with venovenous extracorporeal membrane oxygenation (VV-ECMO). A 39-year-old man who lives in Bangkok presented with fever, severe myalgia and haemoptysis. With rapid progression of acute respiratory failure in 6 hours, he was intubated and a litre of fresh blood was suctioned. Chest x-ray showed diffuse alveolar infiltrates compatible with ARDS, then mechanical ventilator with lung protective strategy was used. Diagnosis of leptospirosis with diffuse alveolar haemorrhage was made. Refractory hypoxaemia was not responsive to positive end-expiratory pressure (PEEP); thus, VV-ECMO was initiated on the first day. Other treatments included plasmapheresis, intravenous pulse methylprednisolone and intravenous antibiotics. The outcome of treatment was successful, and this patient was discharged to home on day 14 after admission.