Impact on the ability of healthcare professionals to correctly identify patient-ventilator asynchronies of the simultaneous visualization of estimated muscle pressure curves on the ventilator display: a randomized study (Pmus study).

BACKGROUND: Patient-ventilator asynchronies are usually detected by visual inspection of ventilator waveforms but with low sensitivity, even when performed by experts in the field. Recently, estimation of the inspiratory muscle pressure (Pmus) waveforms through artificial intelligence algorithm has been proposed (Magnamed®, São Paulo, Brazil). We hypothesized that the display of these waveforms could help healthcare providers identify patient-ventilator asynchronies. METHODS: A prospective single-center randomized study with parallel assignment was conducted to assess whether the display of the estimated Pmus waveform would improve the correct identification of asynchronies in simulated clinical scenarios. The primary outcome was the mean asynchrony detection rate (sensitivity). Physicians and respiratory therapists who work in intensive care units were randomized to control or intervention group. In both groups, participants analyzed pressure and flow waveforms of 49 different scenarios elaborated using the ASL-5000 lung simulator. In the intervention group the estimated Pmus waveform was displayed in addition to pressure and flow waveforms. RESULTS: A total of 98 participants were included, 49 per group. The sensitivity per participant in identifying asynchronies was significantly higher in the Pmus group (65.8 ± 16.2 vs. 52.94 ± 8.42, p < 0.001). This effect remained when stratifying asynchronies by type. CONCLUSIONS: We showed that the display of the Pmus waveform improved the ability of healthcare professionals to recognize patient-ventilator asynchronies by visual inspection of ventilator tracings. These findings require clinical validation. TRIAL REGISTRATION: ClinicalTrials.gov: NTC05144607. Retrospectively registered 3 December 2021.

Effectiveness of a quality improvement strategy with implementation of a specific visual tool to promote ICU early mobilization.

Early progressive mobilization is a safe strategy in the intensive care unit (ICU), however, it is still considered challenging by the inherent barriers and poor adherence to early mobilization protocol. The aim of this study was to evaluate the effectiveness of a quality improvement (QI) multifaceted strategy with implementation of a specific visual tool, the "mobility clock", in reducing non-compliance with the institutional early mobilization (EM) protocol in adult ICUs. A single-center QI with a retrospective before-after comparison study was conducted using data from medical records and hospital electronic databases. Patients from different periods presented similar baseline characteristics. After the QI strategy, a decline in "non-compliance" with the protocol was observed compared to the previous period (10.11% vs. 26.97%, p < 0.004). The proportion of patients walking was significantly higher (49.44% vs. 29.21%, p < 0.006) and the ICU readmission rate was lower in the "after" period (2.25% vs. 11.24%; p = 0.017). The multifaceted strategy specifically designed considering institutional barriers was effective to increase out of bed mobilization, to reduce the "non-compliance" rate with the protocol and to achieve a higher level of mobility in adult ICUs of a tertiary hospital.