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Daily ReportOct 9, 2026

Anesthesiology, October 9 edition

We read 40 papers and selected 3.

Summary

The strongest studies today evaluated protocolized perioperative monitoring, contemporary obstetric anesthesia practice, and artificial intelligence (AI)-enabled delirium prevention. Lung ultrasound-guided fluid management reduced early postoperative extravascular lung water and hypoxemia after percutaneous nephrolithotomy, while a large European cohort quantified substantial variation in general anesthesia use for Caesarean delivery. A pragmatic AI trial produced an important negative result, with no demonstrated reduction in postoperative delirium or improvement in best-practice adherence, although incomplete outcome assessment limited inference.

Research Themes

  • Protocolized perioperative monitoring and individualized fluid management
  • Contemporary obstetric anesthesia epidemiology
  • Pragmatic evaluation of AI clinical decision support and negative results

Selected Articles

1. Lung ultrasound-guided protocolized fluid management versus conventional central venous pressure-based management in monitoring extravascular lung water during the perioperative period of percutaneous nephrolithotomy: a randomized controlled trial.

78.5Evidence level IRCT
Annals of medicine2026PMID: 42851149

In 181 patients undergoing elective percutaneous nephrolithotomy, lung ultrasound-guided protocolized fluid management was compared with conventional central venous pressure-based management. The lung ultrasound strategy reduced the incidence and severity of early postoperative extravascular lung water increase and postoperative hypoxemia, while also shortening extubation time and post-anaesthesia care unit stay.

Impact: This study links a noninvasive, real-time physiologic measure to predefined interventions and demonstrates clinically relevant respiratory benefits in a procedure with substantial irrigation-fluid exposure. It provides a practical framework for testing protocolized fluid management in other high-risk surgical settings.

Clinical Implications: Perioperative lung ultrasound may help detect early fluid-related pulmonary congestion more sensitively than central venous pressure alone. In selected patients undergoing percutaneous nephrolithotomy, integrating lung ultrasound findings with predefined diuretic and fluid-management thresholds could reduce postoperative hypoxemia, although external validation and confirmation of patient-centered outcomes are needed.

Key Findings

  • The randomized trial enrolled 181 patients undergoing elective percutaneous nephrolithotomy.
  • Lung ultrasound-guided management reduced the incidence and severity of early postoperative extravascular lung water increase compared with conventional central venous pressure-based management.
  • Postoperative hypoxemia, extubation time, and post-anaesthesia care unit stay were reduced with the lung ultrasound protocol.

Methodological Strengths

  • Randomized controlled design with a clinically relevant perioperative population.
  • The intervention combined real-time physiologic assessment with predefined management thresholds and included respiratory and recovery outcomes.

Limitations

  • The study was conducted in a specific surgical setting, limiting generalizability to other operations and patient populations.
  • The abstract does not establish whether the short-term physiologic improvements translate into fewer major complications or better long-term outcomes.

Future Directions: Multicentre trials should validate the protocol across different surgical procedures, compare lung ultrasound with other dynamic fluid-responsiveness measures, and evaluate major pulmonary complications, intensive care use, hospital length of stay, and cost-effectiveness.

BACKGROUND: Percutaneous nephrolithotomy (PCNL) is a common surgical intervention to treat renal calculi. Excessive irrigation fluid absorption during surgery may enhance extravascular lung water (EVLW) level. Hence, accurate monitoring and protocolized management of EVLW are crucial for preventing postoperative complications. METHODS: Our randomized controlled study enrolled 181 cases undergoing elective PCNL and randomly divided them to conventional CVP-based fluid management (Group C) or lung ultrasound-guided protocolized fluid management (Group LUS). Primary outcomes included increased incidence of EVLW and severity within 30 min postoperatively and postoperative hypoxemia in the two groups.

2. Artificial Intelligence-Driven Clinical Decision Support for Postoperative Delirium Prevention: A Pragmatic Randomized Controlled Trial.

74.5Evidence level IRCT
Anesthesia and analgesia2026PMID: 42854247

In a pragmatic randomized trial of 7,294 patients with preoperative cognitive impairment, an AI-driven non-interruptive clinical decision support intervention was compared with routine care. Among the small subset with documented delirium assessments, postoperative delirium did not differ significantly between groups, and the intervention did not improve adherence to 12 perioperative best practices. Only 17.2% of randomized patients had documented delirium assessments, substantially limiting conclusions.

Impact: This is an important implementation-oriented negative trial: identifying high-risk patients and displaying AI-generated recommendations did not by itself improve care processes or measured delirium outcomes. The study highlights the difference between algorithmic detection, clinician behavior change, reliable outcome ascertainment, and actual patient benefit.

Clinical Implications: AI delirium tools should not be assumed to reduce postoperative delirium solely because they identify risk or provide electronic prompts. Successful implementation requires reliable delirium screening, workflow integration, clinician engagement, measurable adherence to prevention bundles, and evaluation of patient-centered outcomes.

Key Findings

  • A total of 7,294 patients with preoperative cognitive impairment were randomized to AI-supported care or routine care.
  • Among patients with documented assessments, postoperative delirium occurred in 35.1% of the intervention group and 32.7% of the control group, with no significant difference.
  • The intervention did not significantly improve adherence to any of the 12 assessed perioperative best practices.
  • Only 17.2% of randomized patients had documented postoperative delirium assessments.

Methodological Strengths

  • Pragmatic randomized controlled design embedded in routine clinical care.
  • Large randomized population and use of a validated natural language processing approach, cognitive testing, or diagnostic codes to identify risk.

Limitations

  • Postoperative delirium assessment was documented in fewer than one-fifth of randomized patients, creating substantial risk of ascertainment bias and limiting efficacy conclusions.
  • The non-interruptive intervention did not demonstrate a meaningful change in clinician adherence, so the trial may primarily test passive notification rather than a complete prevention program.

Future Directions: Future trials should require standardized, near-complete delirium assessments; use interruptive or team-based implementation strategies when appropriate; monitor fidelity to prevention bundles; and prespecify patient-centered outcomes such as delirium duration, discharge disposition, functional recovery, and mortality.

BACKGROUND: Postoperative delirium affects up to 50% of older adults with cognitive impairment, yet preoperative identification of at-risk patients remains limited. Artificial intelligence methods, such as natural language processing, can extract cognitive impairment signals from electronic health records and enable targeted clinical decision support interventions to promote adherence to perioperative best practices and reduce postoperative delirium. We aimed to evaluate the effectiveness of an artificial intelligence-driven non-interruptive clinical decision support intervention in reducing postoperative delirium by promoting adherence to best practices among anesthesia teams caring for surgical patients with cognitive impairment. METHODS: We conducted a pragmatic randomized controlled trial embedded within routine clinical care at The Mount Sinai Hospital in New York City from June 20, 2023, to August 31, 2024, including patients with preoperative cognitive impairment identified immediately before surgery using a validated natural language processing algorithm, Mini-Mental State Examination scores, or diagnostic codes.

3. Incidence of general anaesthesia according to urgency of surgery: a multicentre prospective cohort study of 9989 Caesarean deliveries in Europe.

74.0Evidence level IICohort
British journal of anaesthesia2026PMID: 42855372

This multicentre prospective cohort included 9,989 Caesarean deliveries from 361 centres in 31 European countries. General anesthesia was used in 54.0% of emergency cases compared with 10.9% of elective cases, and conversion from initial neuraxial anesthesia to general anesthesia occurred in 7.7% of cases, rising to 23.1% in emergency deliveries.

Impact: The study provides contemporary, large-scale European benchmarking data for Caesarean anesthesia and quantifies how urgency drives general anesthesia use and neuraxial-to-general conversion. These data can inform staffing, airway preparedness, and obstetric anesthesia service planning.

Clinical Implications: Obstetric anesthesia services should anticipate substantially higher general anesthesia and conversion rates in emergency Caesarean delivery. Adequate availability of airway expertise, rapid-sequence induction capability, difficult-airway equipment, and neuraxial rescue pathways is particularly important in high-acuity settings.

Key Findings

  • The cohort included 9,989 Caesarean deliveries from 361 centres in 31 European countries.
  • Overall general anesthesia incidence was 14.8%, increasing from 10.9% in elective cases to 54.0% in emergency cases.
  • Conversion from initial neuraxial anesthesia to general anesthesia occurred in 7.7% overall and 23.1% of emergency cases.

Methodological Strengths

  • Large multicentre prospective cohort with broad geographic coverage and no stated exclusion criteria.
  • Use of a four-category urgency classification enables clinically interpretable stratification of anesthesia practice.

Limitations

  • The observational design cannot determine why practice patterns differed or establish causal relationships.
  • Participating centres may not represent all European maternity units, and patient-level outcomes were not the primary focus.

Future Directions: Future studies should examine institutional, maternal, fetal, and provider-level determinants of anesthesia choice, link anesthesia technique with maternal and neonatal outcomes, and assess whether standardized emergency pathways reduce avoidable general anesthesia and conversion.

BACKGROUND: Contemporary data on anaesthesia for Caesarean delivery across Europe remain limited. We aimed to describe general anaesthesia (GA) use according to Caesarean delivery urgency in participating European countries. METHODS: We performed a multicentre prospective cohort study including all Caesarean deliveries, without exclusion criteria, in 361 centres across 31 European countries from September 1, 2023, to April 30, 2025. Anaesthesiologists reported case details, including urgency category according to a four-category classification (emergency, urgent, expedited, elective). The primary outcome was anaesthesia technique. RESULTS: A total of 9989 Caesarean deliveries were included. The overall GA incidence was 14.8% (n=1474; 95% confidence interval 14.0-15.5).