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Daily Anesthesiology Research Analysis

3 papers

Top anesthesiology-impact papers today span critical care and data science: a machine-learning framework (COMET) integrates EHR with omics to boost small-cohort analyses; reduced sedation (avoiding continuous neuromuscular blockade) during VV-ECMO for COVID-19 associates with lower 90-day mortality; and adjunctive angiotensin II in catecholamine-resistant vasodilatory shock receiving CRRT is linked to lower ICU and 30-day mortality.

Summary

Top anesthesiology-impact papers today span critical care and data science: a machine-learning framework (COMET) integrates EHR with omics to boost small-cohort analyses; reduced sedation (avoiding continuous neuromuscular blockade) during VV-ECMO for COVID-19 associates with lower 90-day mortality; and adjunctive angiotensin II in catecholamine-resistant vasodilatory shock receiving CRRT is linked to lower ICU and 30-day mortality.

Research Themes

  • Sedation strategies and neuromuscular blockade during VV-ECMO
  • Adjunct vasopressor therapy (angiotensin II) in catecholamine-resistant shock on CRRT
  • EHR–omics multimodal machine learning for precision perioperative medicine

Selected Articles

1. A machine learning approach to leveraging electronic health records for enhanced omics analysis.

82.5Level IIICohortNature machine intelligence · 2025PMID: 40008295

COMET is a multimodal transfer-learning framework that pretrains on large EHR datasets and fuses clinical and omics data to improve modeling and discovery in small omics cohorts. Across two independent datasets, COMET outperformed traditional omics-only methods in prediction and biological insight. It enables more granular patient stratification beyond binary case–control labels.

Impact: Methodological advance enabling robust analysis of small perioperative/critical-care omics studies by leveraging ubiquitous EHR data is likely to influence precision anesthesiology research.

Clinical Implications: While not a clinical trial, COMET may accelerate biomarker discovery and risk stratification in perioperative medicine (e.g., predicting delirium, pain phenotypes, or AKI) by enabling more powerful analyses with existing EHR-linked cohorts.

Key Findings

  • Introduces COMET, a transfer-learning framework integrating EHR and omics via early and late fusion.
  • Across two independent datasets, COMET improved predictive performance versus omics-only analyses.
  • COMET enhanced biological discovery and enabled more precise, non-binary patient classifications.

Methodological Strengths

  • Transfer learning from large observational EHRs with adaptive fusion (early/late).
  • Validation on two independent datasets demonstrating generalizability.

Limitations

  • Exact cohort sizes and public code/data availability are not specified in the abstract.
  • Clinical utility still requires prospective validation and workflow integration.

Future Directions: Prospective studies embedding COMET into perioperative registries to drive biomarker validation and clinical decision support; broader benchmarking across surgical/anesthesia indications.

2. Evaluation of Angiotensin II in Patients With Catecholamine-Resistant Vasodilatory Shock Requiring Continuous Renal Replacement Therapy (ANGEL CRRT).

67.5Level IIICohortJournal of cardiothoracic and vascular anesthesia · 2025PMID: 40000287

In CRVS patients on CRRT, adjunctive angiotensin II was associated with lower ICU mortality (aOR 0.438) and 30-day mortality (aOR 0.479) versus standard vasopressors alone, with no significant differences in 72-hour SOFA or time to shock reversal. Fungal infections were more frequent with angiotensin II.

Impact: Targets a high-risk subgroup where vasopressor options are limited; findings support angiotensin II as a potential adjunct in refractory vasodilatory shock with dialysis-level AKI.

Clinical Implications: Consider angiotensin II as adjunct therapy in CRVS patients requiring CRRT, with vigilant antifungal stewardship and infection surveillance; randomized trials are needed before protocol changes.

Key Findings

  • Adjunctive angiotensin II associated with lower ICU mortality (61.4% vs 75.4%; adjusted OR 0.438).
  • Lower 30-day mortality with angiotensin II (67.1% vs 78.5%; adjusted OR 0.479).
  • No significant differences in 72-hour SOFA or time to shock reversal; higher fungal infections with angiotensin II.

Methodological Strengths

  • Multicenter cohort with adjusted logistic regression for key confounders.
  • Clear inclusion: severe CRVS (NE ≥0.5 mcg/kg/min) on CRRT.

Limitations

  • Retrospective design with potential selection bias and residual confounding.
  • Antimicrobial exposure and infection surveillance practices may differ between groups.

Future Directions: Prospective randomized trials in CRVS with renal replacement therapy to confirm mortality benefit and characterize infection risks; pharmacoeconomic evaluations.

3. Level of sedation in patients with COVID-19 supported with ECMO: A comparative analysis of the critical care consortium international database.

60Level IIICohortPerfusion · 2025PMID: 40009712

In a retrospective VV-ECMO COVID-19 cohort (low-sedation n=224; high-sedation with continuous NMBA n=104), high sedation was associated with markedly higher 90-day in-hospital mortality (HR 3.23). Low-sedation patients had fewer infectious and hemorrhagic complications but longer ECMO runs and more circuit changes.

Impact: Provides real-world evidence suggesting benefit of reduced sedation/avoiding continuous paralysis during VV-ECMO, informing protocols in ICU and ECMO centers.

Clinical Implications: Consider minimizing continuous NMBA exposure and aiming for lighter sedation during VV-ECMO while preparing for longer ECMO runs and more circuit management; randomized trials are needed to confirm causality.

Key Findings

  • High-sedation (continuous NMBA) associated with higher 90-day in-hospital mortality (HR 3.23; 95% CI 2.16–4.83).
  • Low-sedation patients had fewer infectious and hemorrhagic complications.
  • Low sedation resulted in longer ECMO duration and more circuit changes.

Methodological Strengths

  • International registry with cause-specific Cox proportional hazards modeling.
  • Explicit stratification by sedation strategy and assessment of complications.

Limitations

  • Retrospective design with baseline oxygenation differences; unmeasured confounding cannot be excluded.
  • Findings specific to COVID-19 VV-ECMO era and may not generalize to non-COVID ARDS.

Future Directions: Prospective, protocolized RCTs comparing light vs deep sedation/continuous paralysis during VV-ECMO with standardized weaning and complication surveillance.