European Society of Anaesthesiology.

Bacterial co-infection in the ongoing pandemic of COVID-19 is associated with poor outcomes but remains little understood. A 22-year-old woman presented with a 3-week history of fever, headache, neck stiffness, rigours and confusion. She was noted to have a purpuric rash over her hands and feet. Cerebrospinal fluid bacterial PCR was positive for Neisseria meningitidis. A concurrent nasopharyngeal RT-PCR was positive for SARS-CoV-2, the causative virus of COVID-19. She was treated with antibiotics for bacterial meningitis and made a complete recovery. Bacterial infection from nasopharyngeal organisms has followed previous pandemic viral upper respiratory illnesses and the risk of bacterial co-infection in COVID-19 remains unclear. Research characterising COVID-19 should specify the frequency, species and outcome of bacterial co-infection. Management of bacterial co-infection in COVID-19 presents major challenges for antimicrobial stewardship and clinical management. Judicious use of local antibiotic guidelines and early liaison with infection specialists is key.

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BackgroundDefining the association between excessive noise in intensive care units, sleep disturbance and morbidity, including delirium, is confounded by the difficulty of implementing successful strategies to reduce patient’s exposure to noise. Active noise control devices may prove to be useful adjuncts but there is currently little to quantify their ability to reduce noise in this complex environment.MethodsSound meters were embedded in the auditory meatus of three polystyrene model heads with no headphones (control), with headphones alone and with headphones using active noise control and placed in patient bays in a cardiac ICU. Ten days of recording sound levels at a frequency of 1 Hz were performed, and the noise levels in each group were compared using repeated measures MANOVA and subsequent pairwise testing.ResultsMultivariate testing demonstrated that there is a significant difference in the mean noise exposure levels between the three groups (p < 0.001). Subsequent pairwise testing between the three groups shows that the reduction in noise is greatest with headphones and active noise control. The mean reduction in noise exposure between the control and this group over 24 h is 6.8 (0.66) dB. The use of active noise control was also associated with a reduction in the exposure to high-intensity sound events over the course of the day.ConclusionsThe use of active noise cancellation, as delivered by noise-cancelling headphones, is associated with a significant reduction in noise exposure in our model of noise exposure in a cardiac ICU. This is the first study to look at the potential effectiveness of active noise control in adult patients in an intensive care environment and shows that active noise control is a candidate technology to reduce noise exposure levels the patients experience during stays on intensive care.