Using Artificial Intelligence to Predict Mechanical Ventilation Weaning Success in Patients with Respiratory Failure, Including Those with Acute Respiratory Distress Syndrome.

The management of mechanical ventilation (MV) remains a challenge in intensive care units (ICUs). The digitalization of healthcare and the implementation of artificial intelligence (AI) and machine learning (ML) has significantly influenced medical decision-making capabilities, potentially enhancing patient outcomes. Acute respiratory distress syndrome, an overwhelming inflammatory lung disease, is common in ICUs. Most patients require MV. Prolonged MV is associated with an increased length of stay, morbidity, and mortality. Shortening the MV duration has both clinical and economic benefits and emphasizes the need for better MV weaning management. AI and ML models can assist the physician in weaning patients from MV by providing predictive tools based on big data. Many ML models have been developed in recent years, dealing with this unmet need. Such models provide an important prediction regarding the success of the individual patient's MV weaning. Some AI models have shown a notable impact on clinical outcomes. However, there are challenges in integrating AI models into clinical practice due to the unfamiliar nature of AI for many physicians and the complexity of some AI models. Our review explores the evolution of weaning methods up to and including AI and ML as weaning aids.

Outcome predictors and patient progress following delivery in pregnant and postpartum patients with severe COVID-19 pneumonitis in intensive care units in Israel (OB-COVICU): a nationwide cohort study.

BACKGROUND: A key unresolved controversy in severe COVID-19 pneumonitis in pregnancy is the optimum timing of delivery and whether delivery improves or worsens maternal outcomes. We aimed to assess clinical data on every intensive care unit (ICU) day for pregnant and postpartum women admitted to the ICU with COVID-19, with a particular focus on the days preceding and following delivery. METHODS: In this multicentre, nationwide, prospective and retrospective cohort study, we evaluated all pregnant women who were admitted to an ICU in Israel with severe COVID-19 pneumonitis from the 13th week of gestation to the 1st week postpartum. We excluded pregnant patients in which the ICU admission was unrelated to severe COVID-19 pneumonitis. We assessed maternal and neonatal outcomes and longitudinal clinical and laboratory ICU data. The primary overall outcome was maternal outcome (worst of the following: no invasive positive pressure ventilation [IPPV], use of IPPV, use of extracorporeal membrane oxygenation [ECMO], or death). The primary longitudinal outcome was Sequential Organ Failure Assessment (SOFA) score, and the secondary longitudinal outcome was the novel PORCH (positive end-expiratory pressure [PEEP], oxygenation, respiratory support, chest x-ray, haemodynamic support) score. Patients were classified into four groups: no-delivery (pregnant at admission and no delivery during the ICU stay), postpartum (ICU admission ≥1 day after delivery), delivery-critical (pregnant at admission and receiving or at high risk of requiring IPPV at the time of delivery), or delivery-non-critical (pregnant at admission and not critically ill at the time of delivery). FINDINGS: From Feb 1, 2020, to Jan 31, 2022, 84 patients were analysed: 34 patients in the no-delivery group, four in postpartum, 32 in delivery-critical, and 14 in delivery-non-critical. The delivery-critical and postpartum groups had worse outcomes than the other groups: 26 (81%) of 32 patients in the delivery-critical group and four (100%) of four patients in the postpartum group required IPPV; 12 (38%) and three (75%) patients required ECMO, and one (3%) and two (50%) patients died, respectively. The delivery-non-critical and no-delivery groups had far better outcomes than other groups: six (18%) of 34 patients and two (14%) of 14 patients required IPPV, respectively; no patients required ECMO or died. Oxygen saturation (SpO2), SpO2 to fraction of inspired oxygen (FiO2) ratio (S/F ratio), partial pressure of arterial oxygen to FiO2 ratio (P/F ratio), ROX index (S/F ratio divided by respiratory rate), and SOFA and PORCH scores were all highly predictive for adverse maternal outcome (p<0·0001). The delivery-critical group deteriorated on the day of delivery, continued to deteriorate throughout the ICU stay, and took longer to recover (ICU duration, Mantel-Cox p<0·0001), whereas the delivery-non-critical group improved rapidly following delivery. The day of delivery was a significant covariate for PORCH (p<0·0001) but not SOFA (p=0·09) scores. INTERPRETATION: In patients who underwent delivery during their ICU stay, maternal outcome deteriorated following delivery among those defined as critical compared with non-critical patients, who improved following delivery. Interventional delivery should be considered for maternal indications before patients deteriorate and require mechanical ventilation. FUNDING: None.

Do corticosteroids improve outcome for any critical illness?

PURPOSE OF REVIEW: Corticosteroids have been widely administered in critically ill patients for various indications. Their clinical benefit is broadly investigated but remains controversial. The purpose of this review is to explore the use of corticosteroids in intensive care, their impact on patient outcome and to provide practical guidance for the use of corticosteroids in the ICU. RECENT FINDINGS: Critical illness is the result of significant tissue damage, due to cellular ischemia, trauma or infection, inducing a systemic inflammatory syndrome. Recent advances in the understanding of the immunologic and molecular mechanisms of inflammation support, in part, the conceptual use of corticosteroids as an adjunct immunomodulatory therapy. But use of corticosteroids carries the risk of severe adverse effects, partly because of their anti-infammatory effects. Recently, clinical research has focused on critical illness-related corticosteroid insufficiency and several trials investigated the role of corticosteroids therapy in septic and critically ill patients with severe systemic inflammation such as acute respiratory distress syndrome, severe community-acquired pneumonia and meningitis. Improved morbidity has been demonstrated in some studies but a clear benefit in term of mortality was not observed. SUMMARY: Critical illnesses stem from a group of heterogeneous medical conditions. Failure to target subgroups more likely to benefit from the use of corticosteroids may be one explanation for the largely disappointing results in clinical trials, thus, far.

The use of steroids in the treatment of severe sepsis and septic shock.

Sepsis and septic shock remain major causes of mortality and morbidity worldwide. Previously, high dose corticosteroids were used to dampen the inflammatory response but studies and meta-analyses showed this to be of no benefit and possibly detrimental. Subsequently, low dose corticosteroids were used in the treatment of sepsis and septic shock with the hypothesis that these conditions are associated with relative adrenal insufficiency. Although some studies showed promising results larger studies and meta-analyses have failed to reproduce these effects and the use of corticosteroids in the treatment of sepsis and septic shock remains controversial. We review the current literature and guidelines regarding low dose corticosteroid use in the management of sepsis and septic shock.