Current opinion in critical care
-
Curr Opin Crit Care · Dec 2021
ReviewMeasuring the human immune response to surgery: multiomics for the prediction of postoperative outcomes.
Postoperative complications including infections, cognitive impairment, and protracted recovery occur in one-third of the 300 million surgeries performed annually worldwide. Complications cause personal suffering along with a significant economic burden on our healthcare system. However, the accurate prediction of postoperative complications and patient-targeted interventions for their prevention remain as major clinical challenges. ⋯ The comprehensive and single-cell characterization of the human immune response to surgery has significantly advanced our ability to predict the risk of postoperative complications. Multiomic modeling of patients' immune states holds promise for the discovery of preoperative predictive biomarkers, ultimately providing patients and surgeons with actionable information to improve surgical outcomes. Although recent studies have generated a wealth of knowledge, laying the foundation for a single-cell atlas of the human immune response to surgery, larger-scale multiomic studies are required to derive robust, scalable, and sufficiently powerful models to accurately predict the risk of postoperative complications in individual patients.
-
Curr Opin Crit Care · Dec 2021
ReviewThe world restart a heart initiative: how to save hundreds of thousands of lives worldwide.
Sudden out-of-hospital cardiac arrest (OHCA) is still one of the top reasons for death in industrialized countries. Bystander resuscitation rates differ significantly across the world despite bystanders being easily able to save lives in this situation. In the 4 years since initiation of the International Liaison Committee on Resuscitation (ILCOR) World Restart a Heart (WRAH), the initiative helped educating millions of people and thus enabled them to save lives. ⋯ The WRAH awareness campaign has reached 194 countries and more than 200 million people in the last years. The success of it could even be kept going in the pandemic due to social media and digital/virtual programmes. International guidelines recommend raising awareness and name ILCOR WRAH as a way to do it.
-
Curr Opin Crit Care · Dec 2021
ReviewMyocardial injury after noncardiac surgery: facts, fallacies and how to approach clinically.
Acute myocardial injury occurs commonly during perioperative care. There is still considerable confusion regarding its diagnosis and definition, and a lack of consensus on who and how to screen, exacerbated by a lack of studies addressing how to manage patients with detected myocardial injury. ⋯ This review aims to bring together current literature regarding myocardial injury that is detected perioperatively, identifies knowledge gaps for future research and provides suggestions for management.
-
Sepsis and septic shock are life-threatening diseases with high mortality. Although efforts have made to improve the survivals, the outcomes are still frustrating. Blood purification was thought to be a promising adjunctive therapy to regulate the excessive cytokine storm or to reduce the endotoxin activity caused by sepsis. Critically ill COVID-19 characterized with the similar disease to sepsis may also benefit from blood purification. ⋯ The blood purification therapy demonstrated the tendency in decrease of cytokines and endotoxin activity in different degree according to the current studies. However, the effect on mortality and haemodynamics is still in controversy. Further well designed, large sample sized studies should focus on the timing of initiating blood purification, the appropriate indications and the optimal type of blood purification membrane or cartridge to provide more evidence for clinical practice.
-
Curr Opin Crit Care · Dec 2021
ReviewAdvances in artificial intelligence and deep learning systems in ICU-related acute kidney injury.
Acute kidney injury (AKI) affects nearly 60% of all patients admitted to ICUs. Large volumes of clinical, monitoring and laboratory data produced in ICUs allow the application of artificial intelligence analytics. The purpose of this article is to assimilate and critically evaluate recently published literature regarding artificial intelligence applications for predicting, diagnosing and subphenotyping AKI among critically ill patients. ⋯ Use of consensus criteria, standard definitions and common data models could facilitate access to machine learning-ready data sets for external validation. The lack of interpretability, explainability, fairness and transparency of artificial intelligence models hinder their entrustment and clinical implementation; compliance with standardized reporting guidelines can mitigate these challenges.