Daily Anesthesiology Research Analysis
Analyzed 119 papers and selected 3 impactful papers.
Summary
Three high-impact perioperative studies stand out today: a prospective cohort in Anesthesiology shows that CT-derived body composition (muscle area/radiodensity and fat radiodensity) significantly improves 30-day cardiovascular risk prediction beyond guideline models; a large double-blind RCT finds erector spinae plane block superior to serratus anterior plane block for analgesia and opioid-sparing after multiple rib fractures; and a pooled international cohort demonstrates that the Duke Activity Status Index adds incremental, context-dependent prognostic information to standard preoperative cardiac risk stratification.
Research Themes
- Preoperative risk stratification enhanced by imaging and functional metrics
- Regional anesthesia optimization for trauma analgesia
- Incremental value of patient-reported functional capacity in perioperative prognosis
Selected Articles
1. Computed Tomography-Based Body Composition Assessment for Preoperative Cardiovascular Risk Prediction: A Prospective Cohort Study.
In two prospective cohorts, CT-derived body composition at L3 (skeletal muscle area and radiodensity, subcutaneous fat radiodensity) improved 30-day postoperative cardiovascular risk discrimination beyond guideline predictors. The optimal three-metric subset increased AUC over RCRI by 0.136 (95% CI 0.083–0.188), with validation across cohorts.
Impact: Opportunistic use of preoperative CT quantifies muscle quality and fat characteristics to substantially enhance perioperative cardiac risk prediction, a core anesthesiology task.
Clinical Implications: Where preoperative abdominal CT is available, incorporating muscle area/radiodensity and subcutaneous fat radiodensity can refine risk stratification beyond RCRI or Gupta models, potentially informing monitoring intensity, optimization, and postoperative disposition.
Key Findings
- Among 1,594 patients, 13.2% had 30-day cardiovascular events.
- Larger skeletal muscle and adipose areas were associated with lower risk; higher adipose radiodensity and lower muscle radiodensity signaled higher risk.
- An optimal 3-metric subset (muscle area, muscle radiodensity, subcutaneous fat radiodensity) improved AUC over RCRI by 0.136 (95% CI 0.083–0.188) and over a refitted clinical model by 0.035 (0.008–0.062), with validation.
Methodological Strengths
- Prospective, multicenter cohort with external validation
- Rigorous model comparison (nested models, reclassification, net benefit)
Limitations
- Observational design limits causal inference and may have residual confounding
- Requires preoperative CT and L3 segmentation, potentially limiting generalizability and implementation
Future Directions: Assess implementation pathways leveraging opportunistic CT, evaluate integration into perioperative pathways and EHR-based calculators, and test generalizability across surgical populations and imaging protocols.
BACKGROUND: Current approaches for preoperative cardiovascular risk prediction remain suboptimal. CT-derived body composition metrics may provide objective markers of cardiometabolic health, yet their predictive value for postoperative cardiovascular events remains unclear. METHODS: We included patients with cardiovascular disease or risk factors undergoing major noncardiac surgery in the prospective, multicenter PREVENGE-CB (PREdiction of Vascular Events after Noncardiac surGEry with Cardiac Biomarkers) cohort and its Nanfang extension. Preoperative abdominal CT scans were analyzed to quantify the area and radiodensity of skeletal muscle and adipose tissues at the third lumbar vertebral level. The primary outcome was composite cardiovascular events within 30 days after surgery. We used logistic regression models to evaluate the added predictive value of body composition metrics beyond guideline-recommended predictors. In the Nanfang cohort, the optimal subset of body composition metrics was selected by minimizing the Akaike Information Criterion for the primary outcome. Nested models were compared using measures of model fit, discrimination, risk reclassification, and net benefit. The findings were validated in the PREVENGE-CB cohort. RESULTS: Among 1594 patients, 211 (13.2%) had the primary outcome. Larger skeletal muscle and adipose areas were generally associated with lower risk, whereas higher adipose radiodensity and lower muscle radiodensity indicated higher risk. In the Nanfang cohort, an optimal subset of three body composition metrics-skeletal muscle area, muscle radiodensity and subcutaneous fat radiodensity-improved discrimination of the primary outcome over the Revised Cardiac Risk Index (increase in area under the curve [ΔAUC] = 0.136; 95% CI, 0.083 to 0.188), the Gupta Myocardial Infarction and Cardiac Arrest risk calculator (ΔAUC = 0.032; -0.002 to 0.065), and a refitted clinical model (ΔAUC = 0.035; 0.008 to 0.062). These findings were validated in the PREVENGE-CB cohort. CONCLUSIONS: CT-derived body composition metrics improved prediction of postoperative cardiovascular events beyond conventional clinical predictors.
2. Ultrasound-guided erector spinae plane block versus serratus anterior plane block for analgesia and respiratory function in patients with multiple rib fractures: a large-sample, single-center, randomized, double-blind, controlled trial.
In 158 patients with unilateral multiple rib fractures, ESPB yielded significantly lower 24‑h pain AUC versus SAPB (mean difference −17.78; 95% CI −21.00 to −14.56) and reduced opioid requirements without compromising safety. Findings support ESPB as a preferred first-line regional technique in this setting.
Impact: Provides high-quality randomized evidence for optimizing regional analgesia in rib fracture patients, a population at risk for respiratory complications.
Clinical Implications: ESPB can be adopted as a first-line block for unilateral multiple rib fractures to improve early analgesia and reduce perioperative opioid exposure, potentially facilitating pulmonary hygiene and mobilization.
Key Findings
- Randomized, double-blind trial (n=158) comparing ESPB vs SAPB in unilateral multiple rib fractures.
- ESPB achieved significantly lower 24-hour pain AUC than SAPB (mean difference −17.78; 95% CI −21.00 to −14.56).
- ESPB reduced opioid requirements without increasing adverse events, supporting it as a preferred first-line technique.
Methodological Strengths
- Randomized, double-blind controlled design with adequate sample size
- Standardized ultrasound-guided techniques with clinically relevant endpoints
Limitations
- Single-center study may limit generalizability
- Short-term outcomes; detailed respiratory function data not fully reported in abstract
Future Directions: Multicenter trials assessing longer-term respiratory outcomes, cost-effectiveness, and subgroup effects by fracture burden or comorbidity.
OBJECTIVE: This large-sample, randomized, double-blind controlled trial directly compared the analgesic efficacy and impact on respiratory function of ultrasound-guided erector spinae plane block (ESPB) versus serratus anterior plane block (SAPB) in patients with unilateral multiple rib fractures. METHODS: A total of 158 eligible patients were randomized to receive either ESPB ( RESULTS: The ESPB group demonstrated a significantly lower 24-h pain AUC compared to the SAPB group (mean difference -17.78, 95% CI: -21.00 to -14.56, CONCLUSION: For patients with unilateral multiple rib fractures, ESPB provides significantly better early comprehensive analgesia and reduces opioid requirements compared to SAPB, without compromising safety. ESPB may be considered as a preferred first-line regional analgesic technique, especially for patients with a lower fracture burden. CLINICAL TRIAL REGISTRATION: Chinese Clinical Trial Registry (ChiCTR), Registration No. ChiCTR2300067544.
3. Prognostic value of the Duke Activity Status Index for preoperative cardiac risk stratification: an international pooled cohort study.
Across two large prospective cohorts (n=3,485), the Duke Activity Status Index added statistically significant, context-dependent prognostic information beyond age, RCRI, and natriuretic peptides for 30‑day major cardiac complications or death. Overall discrimination remained modest, supporting DASI’s use as a continuous marker alongside established predictors.
Impact: Refines how clinicians should apply functional capacity measures: DASI adds value but should be interpreted continuously and contextually rather than as a binary screen.
Clinical Implications: Incorporate DASI as a continuous variable within multivariable risk models and shared decision-making, recognizing its modest, context-dependent incremental value.
Key Findings
- Pooled analysis of 3,485 patients: 3.6% had 30-day major cardiac complications or death; 19% had all-cause major complications.
- DASI provided incremental prognostic information beyond age, RCRI, and natriuretic peptide concentration (primary outcome LRT p=0.009).
- Model discrimination remained modest (c-index 0.70–0.71) with limited net clinical benefit; DASI is best interpreted as a continuous marker.
Methodological Strengths
- Pooled prospective cohorts with standardized DASI assessment and biomarker measurement
- Comprehensive performance evaluation (LRT, c-index, reclassification, decision curves)
Limitations
- Overall discrimination modest; limited net clinical benefit despite statistical significance
- Functional capacity self-report is subject to reporting bias; results are context-dependent
Future Directions: Evaluate DASI integration with imaging (e.g., CT body composition) and objective functional tests, and test adaptive thresholds informed by age, RCRI, and biomarker strata.
BACKGROUND: Guidelines recommend structured self-reported functional capacity assessment for preoperative cardiac risk stratification, including the Duke Activity Status Index (DASI). However, evidence supporting its incremental prognostic value beyond established risk factors remains limited. We evaluated the prognostic performance of the DASI using pooled data from two prospective cohorts. METHODS: We conducted a pooled cohort analysis of adults undergoing elective major non-cardiac surgery enrolled in the Measurement of Exercise Tolerance before Surgery (METS) and Functional Improvement Trajectories After Surgery (FIT After Surgery) studies, including data collected between March 2013 and April 2023. Before surgery, participants completed the Duke Activity Status Index (DASI), a structured 12-item questionnaire based on daily physical activities, and underwent routine preoperative biomarker measurement. The primary outcome was 30-day major cardiac complications (myocardial infarction or non-fatal cardiac arrest) or death. The secondary outcome was all-cause major complications. Hierarchical logistic regression assessed the incremental prognostic value of the DASI beyond age, Revised Cardiac Risk Index (RCRI), and natriuretic peptide concentration. Prognostic performance was evaluated using the likelihood ratio test (LRT), fraction of new predictive information, net reclassification improvement, c-index, calibration plots, and decision curve analysis. FINDINGS: Among 3485 patients, 3.6% (n = 126) experienced the primary outcome and 19% (n = 647) experienced the secondary outcome. The DASI provided prognostic information beyond age, RCRI, and natriuretic peptide concentration for the primary outcome (LRT p = 0.009), and beyond age, sex, and surgery type for the secondary outcome (LRT p < 0.001). Inclusion of the DASI improved prognostic performance across multiple metrics, but overall discrimination of the final models remained modest (c-index 0.70-0.71), with limited net clinical benefit. Predicted risk associated with a given DASI score varied substantially by age, RCRI, and natriuretic peptide concentration, supporting interpretation of the DASI as a continuous prognostic marker rather than a dichotomous screening test. INTERPRETATION: The DASI provides incremental prognostic information for preoperative cardiac risk assessment beyond guideline-recommended predictors. Its prognostic implications are modest, context-dependent, and best interpreted as a continuous prognostic marker alongside established risk factors, rather than as a stand-alone threshold-based tool. FUNDING: Canadian Institutes of Health Research; PSI Foundation; and the Elizabeth A. and Richard J. Currie, O.C. Chair in Translational Anesthesia Research at St. Michael's Hospital and the University of Toronto; The Ottawa Hospital Academic Medical Organization Innovation Fund; Heart and Stroke Foundation of Canada; Ontario Ministry of Health and Long-Term Care; Ontario Ministry of Research, Innovation and Science; UK National Institute of Academic Anaesthesia; UK Clinical Research Collaboration; Australian and New Zealand College of Anaesthetists; Monash University.