During the coronavirus disease 2019 (COVID-19) pandemic, clinical staff learned how to manage patients enduring extended stays in an intensive care unit (ICU). COVID-19 patients requiring critical care in an ICU face a high risk of experiencing prolonged intensive care (PIC). The use of invasive mechanical ventilation in individuals with severe acute respiratory distress syndrome can cause numerous complications that influence both short-term and long-term morbidity and mortality. Those risks underscore the importance of proactively addressing functional complications. Mitigating secondary complications unrelated to the primary pathology of admission is imperative in minimizing the risk of PIC. Therefore, incorporating strategies to do that into daily ICU practice for both COVID-19 patients and those critically ill from other conditions is significantly important.

This comprehensive review explores the broad landscape of brain–computer interface (BCI) technology and its potential use in intensive care units (ICUs), particularly for patients with motor impairments such as quadriplegia or severe brain injury. By employing brain signals from various sensing techniques, BCIs offer enhanced communication and motor rehabilitation strategies for patients. This review underscores the concept and efficacy of noninvasive, electroencephalogram-based BCIs in facilitating both communicative interactions and motor function recovery. Additionally, it highlights the current research gap in intuitive “stop” mechanisms within motor rehabilitation protocols, emphasizing the need for advancements that prioritize patient safety and individualized responsiveness. Furthermore, it advocates for more focused research that considers the unique requirements of ICU environments to address the challenges arising from patient variability, fatigue, and limited applicability of current BCI systems outside of experimental settings.

Identifying critically ill patients at risk of cardiac arrest is important because it offers the opportunity for early intervention and increased survival. The aim of this study was to develop a deep learning model to predict critical events, such as cardiopulmonary resuscitation or mortality. Methods: This retrospective observational study was conducted at a tertiary university hospital. All patients younger than 18 years who were admitted to the pediatric intensive care unit from January 2010 to May 2023 were included. The main outcome was prediction performance of the deep learning model at forecasting critical events. Long short-term memory was used as a deep learning algorithm. The five-fold cross validation method was employed for model learning and testing. Results: Among the vital sign measurements collected during the study period, 11,660 measurements were used to develop the model after preprocessing; 1,060 of these data points were measurements that corresponded to critical events. The prediction performance of the model was the area under the receiver operating characteristic curve (95% confidence interval) of 0.988 (0.9751.000), and the area under the precision-recall curve was 0.862 (0.700–1.000). Conclusions: The performance of the developed model at predicting critical events was excellent. However, follow-up research is needed for external validation.

Successful liberation from mechanical ventilation is one of the most crucial processes in critical care because it is the first step by which a respiratory failure patient begins to transition out of the intensive care unit and return to their own life. Therefore, when devising appropriate strategies for removing mechanical ventilation, it is essential to consider not only the individual experiences of healthcare professionals, but also scientific and systematic approaches. Recently, numerous studies have investigated methods and tools for identifying when mechanically ventilated patients are ready to breathe on their own. The Korean Society of Critical Care Medicine therefore provides these recommendations to clinicians about liberation from the ventilator. Methods: Meta-analyses and comprehensive syntheses were used to thoroughly review, compile, and summarize the complete body of relevant evidence. All studies were meticulously assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) method, and the outcomes were presented succinctly as evidence profiles. Those evidence syntheses were discussed by a multidisciplinary committee of experts in mechanical ventilation, who then developed and approved recommendations. Results: Recommendations for nine PICO (population, intervention, comparator, and outcome) questions about ventilator liberation are presented in this document. This guideline includes seven conditional recommendations, one expert consensus recommendation, and one conditional deferred recommendation. Conclusions: We developed these clinical guidelines for mechanical ventilation liberation to provide meaningful recommendations. These guidelines reflect the best treatment for patients seeking liberation from mechanical ventilation.

Medical complications in peripartum patients are uncommon. Often, these patients are transferred to tertiary care centers, but their conditions and outcomes are not well understood. Our study examined peripartum patients transferred to an intensive care unit (ICU) at an academic quaternary center. Methods: We reviewed charts of adult, non-trauma, interhospital transfer (IHT) peripartum patients sent to an academic quaternary ICU between January 2017 and December 2021. We conducted a descriptive analysis and used multivariable ordinal regression to examine associations of demographic and clinical factors with ICU length of stay (LOS) and hospital length of stay (HLOS). Results: Of 1,794 IHT peripartum patients, 60 (3.2%) were directly transferred to an ICU. The average was 32 years, with a median Sequential Organ Failure Assessment (SOFA) score of 3 (1–4.25) and Acute Physiology and Chronic Health Evaluation (APACHE) II score of 8 (7–12). Respiratory failure was most common (32%), followed by postpartum hemorrhage (15%) and sepsis (14%). Intubation was required for 24 (41%), and 4 (7%) needed extracorporeal membrane oxygenation. Only 1 (1.7%) died, while 45 (76.3%) were discharged. Median ICU LOS and HLOS were 5 days (212) and 8 days (5–17). High SOFA score was linked to longer HLOS, as was APACHE II. Conclusions: Transfers of critically ill peripartum patients between hospitals were rare but involved severe medical conditions. Despite this, their outcomes were generally positive. Larger studies are needed to confirm our findings.

Pneumonia frequently leads to intensive care unit (ICU) admission and is associated with a high mortality risk. This study aimed to assess the impact of early bronchoscopy administered within 3 days of ICU admission on mortality in patients with pneumonia using the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. Methods: A single-center retrospective analysis was conducted using the MIMIC-IV data from 2008 to 2019. Adult ICU-admitted patients diagnosed with pneumonia were included in this study. The patients were stratified into two cohorts based on whether they underwent early bronchoscopy. The primary outcome was the 28-day mortality rate. Propensity score matching was used to balance confounding variables. Results: In total, 8,916 patients with pneumonia were included in the analysis. Among them, 783 patients underwent early bronchoscopy within 3 days of ICU admission, whereas 8,133 patients did not undergo early bronchoscopy. The primary outcome of the 28-day mortality between two groups had no significant difference even after propensity matched cohorts (22.7% vs. 24.0%, P=0.589). Patients undergoing early bronchoscopy had prolonged ICU (P<0.001) and hospital stays (P<0.001) and were less likely to be discharged to home (P<0.001). Conclusions: Early bronchoscopy in severe pneumonia patients in the ICU did not reduce mortality but was associated with longer hospital stays, suggesting it was used in more severe cases. Therefore, when considering bronchoscopy for these patients, it's important to tailor the decision to each individual case, thoughtfully balancing the possible advantages with the related risks.