Daily Anesthesiology Research Analysis

OBJECTIVE: To estimate the relative efficacy of individual and combinations of prehabilitation components (exercise, nutrition, cognitive, and psychosocial) on critical outcomes of postoperative complications, length of stay, health related quality of life, and physical recovery for adults who have received surgery. DESIGN: Systematic review with network and component network meta-analyses of randomised controlled trials. DATA SOURCES: Medline, Embase, PsycINFO, CINAHL, Cochrane Library, and Web of Science were initially searched 1 March 2022, and updated on 25 October 2023. Certainty in findings were assessed using the Confidence in Network Meta-Analysis (CINeMA) approach. MAIN OUTCOME MEASURES: To compare treatments and to compare individual components informed by partnership with patients, clinicians, researchers, and health system leaders using an integrated knowledge translation framework. Eligible studies were any randomised controlled trial including adults preparing for major surgery who were allocated to prehabilitation interventions or usual care, and where critical outcomes were reported. RESULTS: 186 unique randomised controlled trials with 15 684 participants were included. When comparing treatments using random-effects network meta-analysis, isolated exercise (odds ratio 0.50 (95% confidence interval (CI) 0.39 to 0.64); very low certainty of evidence), isolated nutritional (0.62 (0.50 to 0.77); very low certainty of evidence), and combined exercise, nutrition, plus psychosocial (0.64 (0.45 to 0.92); very low certainty of evidence) prehabilitation were most likely to reduce complications compared with usual care. Combined exercise and psychosocial (-2.44 days (95% CI -3.85 to -1.04); very low certainty of evidence), combined exercise and nutrition (-1.22 days (-2.54 to 0.10); moderate certainty of evidence), isolated exercise (-0.93 days (-1.27 to -0.58); very low certainty of evidence), and isolated nutritional prehabilitation (-0.99 days (-1.49 to -0.48); very low certainty of evidence) were most likely to decrease length of stay. Combined exercise, nutrition, plus psychosocial prehabilitation was most likely to improve health related quality of life (mean difference on Short Form-36 physical component scale 3.48 (95% CI 0.82 to 6.14); very low certainty of evidence) and physical recovery (mean difference in meters on the six min walk test 43.43 (95% CI 5.96 to 80.91); very low certainty of evidence).When comparing individual components using component network meta-analysis, exercise and nutrition were the individual components most likely to improve all critical outcomes. The certainty of evidence for all comparisons across all outcomes was generally low to very low due to trial level risk of bias and imprecision; however, results for exercise and nutritional prehabilitation were robust with exclusion of high risk of bias trials. CONCLUSIONS: Consistent and potentially meaningful effect estimates suggest that exercise prehabilitation, nutritional prehabilitation, and multicomponent interventions including exercise may benefit adults preparing for surgery and could be considered in clinical care. However, multicentre trials that are appropriately powered for high priority outcomes and that have a low risk of bias are required to have greater certainty in prehabilitation's efficacy. REGISTRATION: International prospective registry of systematic reviews CRD42023353710.

BACKGROUND: Invasive systems are commonly used for monitoring intracranial pressure (ICP) in traumatic brain injury (TBI) and are considered the gold standard. The availability of invasive ICP monitoring is heterogeneous, and in low- and middle-income settings, these systems are not routinely employed due to high cost or limited accessibility. The aim of this consensus was to develop recommendations to guide monitoring and ICP-driven therapies in TBI using non-invasive ICP (nICP) systems. METHODS: A panel of 41 experts, that regularly use nICP systems for guiding TBI care, was established. Three scoping and four systematic reviews with meta-analysis were performed summarizing the current global-literature evidence. A modified Delphi method was applied for the development of recommendations. An in-person meeting with group discussions and voting was conducted. Strong recommendations were defined for an agreement of at least 85%. Weak recommendations were defined for an agreement of 75-85%. RESULTS: A total of 34 recommendations were provided (32 Strong, 2 Weak) divided into three domains: general consideration for nICP use, management of ICP using nICP methods and thresholds of nICP tools for escalating/de-escalating treatment. We developed four clinical algorithms for escalating treatment and heatmaps for de-escalating treatment. CONCLUSIONS: Using a mixed-method approach involving literature review and an in-person consensus by experts, a set of recommendations designed to assist clinicians managing TBI patients using nICP systems plus clinical assessment, in the presence or absence of brain imaging, were built. Further clinical studies are required to validate the potential use of these recommendations in the daily clinical practice.

Understanding clinical trajectories of sepsis patients is crucial for prognostication, resource planning, and to inform digital twin models of critical illness. This study aims to identify common clinical trajectories based on dynamic assessment of cardiorespiratory support using a validated electronic health record data that covers retrospective cohort of 19,177 patients with sepsis admitted to intensive care units (ICUs) of Mayo Clinic Hospitals over 8-year period. Patient trajectories were modeled from ICU admission up to 14 days using an unsupervised machine learning two-stage clustering method based on cardiorespiratory support in ICU and hospital discharge status. Of 19,177 patients, 42% were female with a median age of 65 (interquartile range [IQR], 55-76) years, The Acute Physiology, Age, and Chronic Health Evaluation III score of 70 (IQR, 56-87), hospital length of stay (LOS) of 7 (IQR, 4-12) days, and ICU LOS of 2 (IQR, 1-4) days. Four distinct trajectories were identified: fast recovery (27% with a mortality rate of 3.5% and median hospital LOS of 3 (IQR, 2-15) days), slow recovery (62% with a mortality rate of 3.6% and hospital LOS of 8 (IQR, 6-13) days), fast decline (4% with a mortality rate of 99.7% and hospital LOS of 1 (IQR, 0-1) day), and delayed decline (7% with a mortality rate of 97.9% and hospital LOS of 5 (IQR, 3-8) days). Distinct trajectories remained robust and were distinguished by Charlson Comorbidity Index, The Acute Physiology, Age, and Chronic Health Evaluation III scores, as well as day 1 and day 3 SOFA ( P < 0.001 ANOVA). These findings provide a foundation for developing prediction models and digital twin decision support tools, improving both shared decision making and resource planning.