Daily Anesthesiology Research Analysis

PURPOSE: Inflammatory phenotypes of acute respiratory distress syndrome (ARDS) can predict patient outcomes and potentially response to treatment. The aim was to assess whether inflammatory phenotypes can be characterized over time using clinical surrogate data and used to guide therapy with corticosteroids. METHODS: Individual patient data and biomarkers from six multicenter randomized controlled trials (development, n = 1207; validation, n = 2751) were analyzed to establish an open-source AI Clinical Classifier ( https://bostonmontpelliercare.shinyapps.io/AIClarity ) for inflammatory phenotypes of ARDS using routine clinical data. Then, patients from a retrospective cohort (investigation, n = 5578) underwent classification from baseline to day 30. A discrete-time Bayesian Markov model assessed temporal stability at 3-day intervals. A target trial emulation and longitudinal logistic regression assessed corticosteroid effect on 30-day mortality depending on phenotype. RESULTS: The AI Clinical Classifier identified 2169 (39%) hyperinflammatory and 3409 (61%) hypoinflammatory patients. 1053 (49%) and 826 (24%) patients died within 30 days, respectively (p < 0.001). Over 30 days, 49%(1072/2169) of hyperinflammatory patients at baseline transitioned to hypoinflammatory, and 7%(229/3409) of hypoinflammatory patients at baseline transitioned to hyperinflammatory (p < 0.001). Phenotypes predicted response to corticosteroids, with lower mortality in hyperinflammatory patients (IPW-weighted hazard ratio [HR]: 0.81 [0.67-0.98], p = 0.033), and higher mortality in hypoinflammatory patients (IPW-weighted HR: 1.26 [1.06-1.50], p = 0.009). At day 3, a positive response to corticosteroids only persisted among patients who remained hyperinflammatory (adjusted odds ratio = 0.51, 95% CI 0.32-0.80, p = 0.004). CONCLUSION: Characterization of inflammatory ARDS phenotypes using clinical surrogate data allows physicians to monitor patients throughout the course of the disease and guide clinical treatment. Corticosteroids may be beneficial in hyperinflammatory ARDS and harmful in hypoinflammatory ARDS.

BACKGROUND: Circadian rhythm disruption, as a modifiable risk factor, has been increasingly recognised for its potential impact on adverse health outcomes, particularly in surgical populations where its implications warrant further investigation. OBJECTIVES: To investigate associations between postoperative outcomes and preoperative rest-activity rhythm metrics from accelerometry. DESIGN: A cohort analysis of UK Biobank participants undergoing major surgery within 1 year of accelerometer monitoring. SETTING: UK Biobank, a large population-based cohort in the United Kingdom. PATIENTS: These were 5654 adults (37 to 73 years) completing 7-day preoperative wrist accelerometry. EXPOSURE: Rest-activity rhythm relative amplitude was analysed both as a continuous variable and as a categorical variable. For the categorical analysis, a low relative amplitude group was defined as more than 2 standard deviations below the cohort mean: all other participants served as the high relative amplitude group. MAIN OUTCOME MEASURES: The primary composite outcome included 30-day postoperative complications and 90-day mortality. Multivariable logistic regression was used to adjust for comorbidities, demographics and surgical risk factors. RESULTS: Participants with a low relative amplitude (n = 225) demonstrated significantly higher rates of adverse outcomes compared with the remainder of the participants (n = 5429), with an absolute risk difference of 6.1% (9.8 vs. 3.7%), P < 0.001). Multivariable analysis revealed a dose-response relationship: each standard deviation decrease in relative amplitude increased risk by 23% {adjusted odds ratio, aOR: 1.23 [95% confidence interval (CI), 1.06 to 1.42]}. The low amplitude group had double the risk of adverse outcomes compared with the remainder of the participants: adjusted OR: 2.16 (95% CI, 1.25 to 3.73). CONCLUSIONS: A lower preoperative circadian relative amplitude is associated with increased postoperative morbidity and mortality. Accelerometry-based circadian monitoring may provide a novel, cost-effective strategy for preoperative risk stratification.

PURPOSE: Non-intubated video-assisted thoracic surgery (NIVATS) reduces airway trauma but may lead to postoperative hyperalgesia and opioid dependence, contradicting enhanced recovery after surgery (ERAS) principles. We hypothesized that combining low-dose esketamine with a paravertebral block (PVB) may mitigate hyperalgesia, decrease opioid requirements, and improve recovery quality in NIVATS. PATIENTS AND METHODS: This prospective single-center, double-blind randomized controlled trial (RCT) enrolled 82 patients undergoing uniportal NIVATS. Patients were randomized into two groups: esketamine (0.25 mg/kg pre-induction + 0.15 mg/kg/h intraoperatively) and control. Both groups received ultrasound-guided T4 and T6 PVB (with 0.375% ropivacaine). The primary outcome was mechanical pain threshold (MPT; central/peripheral), quantified preoperatively and at 0.5-48 h postoperatively using pressure algometry after laryngeal mask airway (LMA) removal. Secondary outcomes included quality of recovery-40 (QoR-40) scores, intraoperative sufentanil/norepinephrine use, postoperative rescue analgesia use, and other related complications. RESULTS: Compared to controls, the esketamine group exhibited significantly higher MPT at 6 h postoperatively (central: 2.77 ± 0.80 vs 2.17 ± 0.59 kgf/cm², CONCLUSION: Low-dose esketamine combined with PVB attenuates postoperative hyperalgesia, reduces intraoperative opioid use by 71.4%, and enhances recovery in NIVATS, offering a clinically effective opioid-sparing strategy for ERAS protocols.