Predict models for prolonged ICU stay using APACHE II, APACHE III and SAPS II scores: A Japanese multicenter retrospective cohort study.

Prolonged ICU stays are associated with high costs and increased mortality. Thus, early prediction of such stays would help clinicians to plan initial interventions, which could lead to efficient utilization of ICU resources. The aim of this study was to develop models for predicting prolonged stays in Japanese ICUs using APACHE II, APACHE III and SAPS II scores. In this multicenter retrospective cohort study, we analyzed the cases of 85,558 patients registered in the Japanese Intensive care Patient Database between 2015 and 2019. Prolonged ICU stay was defined as an ICU stay of >14 days. Multivariable logistic regression analyses were performed to develop three predictive models for prolonged ICU stay using APACHE II, APACHE III and SAPS II scores, respectively. After exclusions, 79,620 patients were analyzed, 2,364 of whom (2.97%) experienced prolonged ICU stays. Multivariable logistic regression analyses showed that severity scores, BMI, MET/RRT, postresuscitation, readmission, length of stay before ICU admission, and diagnosis at ICU admission were significantly associated with higher risk of prolonged ICU stay in all models. The present study developed predictive models for prolonged ICU stay using severity scores. These models may be helpful for efficient utilization of ICU resources.

Inflammation Triggered by SARS-CoV-2 and ACE2 Augment Drives Multiple Organ Failure of Severe COVID-19: Molecular Mechanisms and Implications.

The widespread occurrence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a pandemic of coronavirus disease 2019 (COVID-19). The S spike protein of SARS-CoV-2 binds with angiotensin-converting enzyme 2 (ACE2) as a functional "receptor" and then enters into host cells to replicate and damage host cells and organs. ACE2 plays a pivotal role in the inflammation, and its downregulation may aggravate COVID-19 via the renin-angiotensin system, including by promoting pathological changes in lung injury and involving inflammatory responses. Severe patients of COVID-19 often develop acute respiratory distress syndrome and multiple organ dysfunction/failure with high mortality that may be closely related to the hyper-proinflammatory status called the "cytokine storm." Massive cytokines including interleukin-6, nuclear factor kappa B (NFκB), and tumor necrosis factor alpha (TNFα) released from SARS-CoV-2-infected macrophages and monocytes lead inflammation-derived injurious cascades causing multi-organ injury/failure. This review summarizes the current evidence and understanding of the underlying mechanisms of SARS-CoV-2, ACE2 and inflammation co-mediated multi-organ injury or failure in COVID-19 patients.

Air contamination with SARS-CoV-2 in the operating room.

Angiotensin converting enzyme 2 (ACE2) is a target cell receptor for internalization and proliferation of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). When ACE2-highly expressed tissues are manipulated, SARS-CoV-2 containing aerosols may be generated. Normal breathing and speaking are capable of producing aerosols so mask ventilation, suction of airway tract and bucking during tracheal intubation and extubation are clinical procedures capable of significant aerosol production. Whilst no data have been reported on the distribution of SARS-CoV-2 in the operating room (OR), contamination in the OR can be estimated from the intensive care unit (ICU) data. ICU data showed that SARS-CoV-2 was detected on all types of surface and in air within about 4 m from coronavirus disease 2019 (COVID-19) patients. High concentrations of SARS-CoV-2 was detected in the personal protective equipment (PPE) removal room and medical staff office. Submicron virus-laden aerosols could result from resuspension of particles containing SARS-CoV-2 sticking the PPE surface; removal could produce the initial velocity. Supermicron virus-laden aerosol could come from floor deposited SARS-CoV-2, which were carried across different areas by medical staff (e.g., shoe). Knowledge of aerosol generation and distribution in the OR will aid the design of strategies to reduce transmission risk.