Raghu, Roshini

This systematic review examined multicenter randomized controlled trials (RCTs) conducted during the Sepsis-3 era that evaluated pharmaceutical and mechanistic interventions in adult patients with sepsis or septic shock, with a focus on identifying interventions that demonstrated mortality benefit. A comprehensive search was performed across Ovid MEDLINE, Embase, Cochrane Central, ClinicalTrials.gov, WHO ICTRP, and Web of Science for trials published since 2016. Studies were included if they enrolled adult patients with sepsis or septic shock using Sepsis-3 criteria and reported mortality as either a primary or secondary outcome. Data were extracted by two independent reviewers and included trial design characteristics, funding source, randomization methods, and reported outcomes. Among the 31 eligible multicenter RCTs enrolling over 7,000 patients across 550 centers, only four trials showed a mortality benefit. These included three studies from China—two evaluating herbal anti-inflammatory compounds and one evaluating aminophylline—and one European study assessing corticosteroid therapy in vasopressor-dependent septic shock. The remaining 27 trials reported no mortality benefit, and substantial heterogeneity was observed in patient populations, sepsis definitions, and outcome reporting. Median mortality in control arms was 31.6% (IQR 24.1–45.5), and 35.4% (IQR 25.7–49.6) in intervention arms. These findings suggest that despite extensive efforts, most interventions have not reduced mortality in multicenter sepsis trials. Future research should focus on optimizing trial design, refining patient selection, and incorporating patient-centered outcomes beyond mortality.

Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a sequence of images to recognize content, has been used extensively across industries in recent years. However, in the healthcare industry, its applications are limited by factors like privacy, safety, and ethical concerns. Despite this, CV has the potential to improve patient monitoring, and system efficiencies, while reducing workload. In contrast to previous reviews, we focus on the end-user applications of CV. First, we briefly review and categorize CV applications in other industries (job enhancement, surveillance and monitoring, automation, and augmented reality). We then review the developments of CV in the hospital setting, outpatient, and community settings. The recent advances in monitoring delirium, pain and sedation, patient deterioration, mechanical ventilation, mobility, patient safety, surgical applications, quantification of workload in the hospital, and monitoring for patient events outside the hospital are highlighted. To identify opportunities for future applications, we also completed journey mapping at different system levels. Lastly, we discuss the privacy, safety, and ethical considerations associated with CV and outline processes in algorithm development and testing that limit CV expansion in healthcare. This comprehensive review highlights CV applications and ideas for its expanded use in healthcare.