Daily Anesthesiology Research Analysis
Three perioperative studies stand out today: a prospective cohort defines heterogeneous phenotypes and prognoses of cardiac complications after arterial vascular surgery; a large real-world analysis refutes the predictive value of preinduction peripheral perfusion index for postinduction hypotension; and a randomized trial shows smart glasses improve procedural efficiency for interscalene brachial plexus block.
Summary
Three perioperative studies stand out today: a prospective cohort defines heterogeneous phenotypes and prognoses of cardiac complications after arterial vascular surgery; a large real-world analysis refutes the predictive value of preinduction peripheral perfusion index for postinduction hypotension; and a randomized trial shows smart glasses improve procedural efficiency for interscalene brachial plexus block.
Research Themes
- Perioperative cardiovascular risk phenotyping and outcomes
- Predictive monitoring and hemodynamic risk stratification
- Human factors and technology in regional anesthesia
Selected Articles
1. Prevalence, phenotypes, and long-term outcomes of cardiac complications after arterial vascular surgery.
In a prospective, centrally adjudicated cohort of 2,265 high-risk patients undergoing arterial vascular surgery, perioperative myocardial infarction/injury occurred in 18.7% with substantial heterogeneity by procedure and etiology. Phenotypes such as extracardiac PMI, postoperative acute heart failure, and tachyarrhythmias carried markedly worse 1-year mortality and MACE, highlighting the need for phenotype-informed perioperative strategies.
Impact: This study delineates the heterogeneous nature and prognosis of cardiac complications after vascular surgery with central adjudication, providing actionable risk stratification by phenotype.
Clinical Implications: Perioperative surveillance and management should be tailored by procedure type and PMI phenotype, prioritizing early detection and aggressive treatment of extracardiac PMI, postoperative acute heart failure, and tachyarrhythmias to mitigate 1-year mortality and MACE.
Key Findings
- PMI incidence was 18.7% (423/2,265) with substantial heterogeneity by procedure and etiology.
- Highest PMI after open thoracic/thoracoabdominal/abdominal aortic aneurysm repair (42%) and lowest after carotid endarterectomy (11%).
- 1-year all-cause mortality was 11.8% and MACE 14.3% overall.
- Mortality and MACE at 1 year varied by PMI etiology: extracardiac (67% death; 63% MACE), pAHF (47%; 73%), tachyarrhythmia (45%; 73%), type 1 MI (24%; 50%), likely type 2 MI (18%; 20%), vs no PMI (8%; 10%).
- Open and endovascular peripheral revascularization had PMI rates of 17% and 14%, respectively.
Methodological Strengths
- Prospective cohort with central adjudication of cardiac events by two independent physicians
- Hierarchical etiologic phenotyping with 1-year outcome assessment
Limitations
- Observational design without randomized management strategies
- Potential residual confounding and procedure-specific practice variability cannot be fully excluded
Future Directions: Validate phenotype-specific risks across centers and test targeted perioperative interventions (e.g., surveillance and therapy algorithms) in pragmatic trials.
OBJECTIVE: The aim of this study prospective diagnostic study with central adjudication was to (1) determine the incidence and phenotypes of cardiac complications after arterial vascular surgery, (2) investigate possible heterogeneity, and (3) assess short- and long-term mortality and major adverse cardiac events (MACEs) according to different phenotypes of these cardiac complications. METHODS: Consecutive high-risk patients (age >65 years or with known cardiovascular disease) undergoing arterial vascular surgery were included between 2014 and 2019. Cardiac complications including perioperative myocardial infarction/injury (PMI) were centrally adjudicated by two independent physicians. PMI etiologies were hierarchically classified into extracardiac if caused by a primarily extracardiac disease such as severe sepsis or pulmonary embolism, or cardiac, and further subtyped into type 1 MI, tachyarrhythmia, postoperative acute heart failure (pAHF), or likely type 2 MI. All-cause death and MACE, including acute MI, pAHF, life-threatening arrhythmia, and cardiovascular death, were assessed during 1-year follow-up. RESULTS: Among 2'265 patients (median age 71 years, 27% female), PMI occurred in 423 (18.7%) with substantial heterogeneity. The highest incidence was seen after open thoracic, thoracoabdominal and abdominal aortic aneurysm repair (42%) and the lowest after carotid endarterectomy (11%). Open and endovascular peripheral revascularization procedures were associated with PMI rates of 17% and 14%, respectively. Within 1 year, 267/2'265 patients (11.8%) died and at least one MACE occurred in 325/2'265 patients (14.3%). Long-term outcomes differed substantially according to etiology: in patients with extracardiac PMI, type 1 MI, tachyarrhythmia, pAHF, and likely type 2 MI, 67%, 24%, 45%, 47%, and 18% died and 63%, 50%, 73%, 73%, and 20% had MACE within 1 year, respectively, in comparison with 8% and 10% (all P < .001) in patients without a PMI. CONCLUSIONS: The incidence of cardiac complications after arterial vascular surgery procedures is high and is associated with high rates of mortality and MACE, with extracardiac PMI, pAHF, and tachyarrhythmias being associated with a particularly poor prognosis, underscoring the urgent need for appropriate diagnosis and treatment.
2. Use of smart glasses imaging for interscalene brachial plexus block: a randomised clinical trial.
In a randomized trial of 146 analyzed patients, smart glasses-assisted ultrasound guidance significantly reduced total puncture time, probe imaging time, and time from first puncture to target during interscalene block. Operator head movements were fewer and ergonomic satisfaction higher, with similar pain scores and adverse events compared to conventional guidance.
Impact: Demonstrates a pragmatic, technology-enabled approach that measurably improves procedural efficiency and ergonomics in regional anesthesia.
Clinical Implications: Smart glasses can be integrated into ultrasound-guided regional anesthesia workflows to shorten procedure times and improve ergonomics for experienced operators without compromising safety.
Key Findings
- Total puncture time was shorter with smart glasses (median 124.0 s) vs control (153.0 s), P<0.001.
- Ultrasound probe imaging time and time from first puncture to target were significantly reduced with smart glasses (both P<0.001).
- Fewer operator head movements (median 1 vs 5; P<0.001) and higher ergonomic satisfaction (56.2% vs 24.7% rated 4–5; P<0.001).
- Pain scores and adverse event rates were similar between groups.
Methodological Strengths
- Prospective randomized design with standardized operator training
- Objective, time-based primary and secondary outcomes and ergonomic measures
Limitations
- Single-center study with experienced anesthetists; limited generalizability to novices or other blocks
- Blinding not feasible; no differences in patient-centered outcomes assessed
Future Directions: Evaluate smart glasses across diverse operators and block types, assess learning curves, and test impact on throughput, safety, and patient outcomes in multicenter pragmatic trials.
BACKGROUND: Smart glasses can provide real-time ultrasonographic images without additional head-eye movement. We investigated whether smart glasses combined with ultrasonography could improve interscalene brachial plexus block (ISB) procedural efficiency. METHODS: This prospective, randomised trial enrolled 151 patients undergoing upper limb surgery requiring interscalene brachial plexus block. Four anaesthesiologists received standardised training in smart glasses-assisted (smart glasses group) or conventional (control group) ultrasound guidance. The primary outcome was total procedure time. RESULTS: Five participants were excluded, and 146 participants were included in the analysis. The total puncture time was shorter in the smart glasses group compared with the control group (124.0 [98.0-155.5 ] s vs 153.0 [123.0-197.5] s; P<0.001). In addition, the ultrasound probe imaging time was better in the smart glasses group than in the control group (19.0 [13.5-30.0] s vs 31.0 [20.0-51.0 ] s; P<0.001), and the period from the first skin puncture to reaching the target area was also shorter (16.0 [12.5-24.5] s vs 26.0 [18.5-33.5] s; P<0.001). Hand-eye coordination was significantly better in the smart glasses group compared with the control group, which included fewer operator head movements (1.0 [1.0-2.0] vs 5.0 [3.0-8.0]; P<0.001); more consistent needle redirections (3.00 [2.0-3.0] vs 3.0 [2.0-4.0]; P=0.004). Pain scores remained similarly low in both groups, with no significant differences in adverse event rates. Ergonomic satisfaction scores (rated 4 or 5) were higher in the smart glasses group (56.2% [41/73] vs 24.7% [18/73]; P<0.001). CONCLUSIONS: Smart glasses reduced the procedure time for experienced anaesthetists performing interscalene brachial plexus block compared with the control group, and improved their hand-eye coordination and satisfaction. CLINICAL TRIAL REGISTRATION: Chinese Clinical Trial Registry (ChiCTR2400091595).
3. Challenging current evidence: Peripheral perfusion index fails as a predictor of postinduction hypotension - Findings from a large diverse surgical population.
Among 6,653 adult surgical patients, preinduction PPI failed to predict postinduction hypotension (AUC 0.51) across time windows and subgroups. Baseline MAP, age, ASA status, and emergency surgery were independent predictors, challenging prior meta-analytic conclusions.
Impact: Provides a large-scale negative result that overturns reliance on PPI for PIH prediction, redirecting risk assessment toward established clinical factors.
Clinical Implications: Do not use preinduction PPI to predict PIH. Focus on modifiable factors (e.g., optimizing baseline MAP) and established risks (age, ASA, urgency) for prevention and management strategies.
Key Findings
- PIH incidence was 51.5% within 20 minutes after induction.
- Preinduction PPI showed no discriminatory ability for PIH (AUC 0.51; sensitivity 31%; specificity 72% at cutoff 0.81).
- Poor performance persisted across time intervals and patient subgroups.
- Independent predictors included lower preinduction MAP, advanced age, higher ASA status, and emergency surgery.
Methodological Strengths
- Large sample size with predefined PIH definition and ROC analysis
- Multivariable logistic regression identifying independent predictors with subgroup checks
Limitations
- Retrospective single-center design; unmeasured confounding possible
- Limited to 20-minute postinduction window; anesthetic/vasopressor strategies not standardized
Future Directions: Prospective multicenter validation of risk models emphasizing baseline MAP and clinical context; test targeted hemodynamic protocols to prevent PIH.
BACKGROUND: Postinduction hypotension (PIH) is a common complication of general anesthesia with potential clinical consequences. A recent meta-analysis suggested that the peripheral perfusion index (PPI) has a high predictive value for PIH. However, this was limited by small sample sizes and significant heterogeneity. We aimed to evaluate the predictive performance of preinduction PPI for PIH in a large surgical cohort. METHODS: In this retrospective single-center study, we analyzed 6653 adult patients who had general anesthesia between May 2022 and May 2023. PIH was defined as mean arterial pressure < 65 mmHg within 20 min after induction. We assessed the predictive performance of preinduction PPI for estimating PIH using the area under the receiver operating characteristic curve (AUC). A multivariable logistic regression was conducted to identify independent predictors of PIH. RESULTS: The overall incidence of PIH was 51.5 %. Preinduction PPI values were similar between patients who developed PIH and those who did not (1.22 [0.69-2.23] vs. 1.23 [0.75-2.13], P = 0.284). PPI demonstrated poor predictive performance for PIH (AUC 0.51, 95 % CI 0.49-0.52), with low sensitivity (31 %) and modest specificity (72 %) at the optimal cutoff (0.81). This poor discrimination persisted across all postinduction time intervals and patient subgroups. In contrast, independent predictors of PIH included preinduction mean arterial pressure, advanced age, higher ASA physical status, and emergency surgery. CONCLUSION: Despite promising results from smaller studies, we found that preinduction PPI had no significant predictive value for PIH in a large, diverse surgical population. Anesthesiologists should focus on established risk factors rather than PPI when assessing PIH risk.