Daily Anesthesiology Research Analysis
Three impactful anesthesiology studies stand out today: an interpretable machine-learning model (COMPASS) accurately predicts outcomes after perioperative CPR; a secondary analysis from HIP ATTACK links higher perioperative pain with increased myocardial injury in hip fracture surgery; and a randomized trial shows perioperative intranasal insulin reduces postoperative delirium and inflammatory markers in elderly hip fracture patients under general anesthesia.
Summary
Three impactful anesthesiology studies stand out today: an interpretable machine-learning model (COMPASS) accurately predicts outcomes after perioperative CPR; a secondary analysis from HIP ATTACK links higher perioperative pain with increased myocardial injury in hip fracture surgery; and a randomized trial shows perioperative intranasal insulin reduces postoperative delirium and inflammatory markers in elderly hip fracture patients under general anesthesia.
Research Themes
- Perioperative risk prediction and decision support
- Analgesia as a modifiable driver of perioperative cardiac injury
- Non-pharmacologic/metabolic strategies to prevent postoperative delirium
Selected Articles
1. Prediction of Cardiopulmonary Resuscitation Outcomes for Arrest in Surgical Settings.
Using NSQIP data, an interpretable extreme gradient boosting model (COMPASS) predicted 30-day mortality after perioperative CPR with AUROC 0.80 and also predicted nonhome discharge among survivors. SHAP highlighted ASA status, case urgency, and frailty as key predictors, and decision curve analysis indicated net clinical benefit over default strategies.
Impact: Provides a validated, interpretable tool for individualized prognostication after perioperative CPR, enabling better code status discussions and resource allocation.
Clinical Implications: Clinicians can integrate COMPASS into preoperative counseling and peri-resuscitation planning to align care with patient goals and to stratify post-CPR care intensity.
Key Findings
- Extreme gradient boosting (COMPASS) achieved AUROC 0.80 for 30-day mortality prediction after perioperative CPR with accuracy 0.73 and Brier score 0.18.
- Among 2478 survivors admitted from home, nonhome discharge was predicted with AUROC 0.78 and accuracy 0.76.
- ASA physical status, case urgency, and frailty were the top contributors per SHAP analysis.
- Decision curve analysis showed greater net benefit than treat-all or treat-none strategies across broad thresholds.
Methodological Strengths
- Prospective, multicenter dataset with standardized NSQIP variables
- Interpretable ML with SHAP and decision curve analysis; internal cross-validation
Limitations
- Internal validation only; external prospective validation not reported
- Observational prognostic design cannot infer causal effects of interventions
Future Directions: External prospective validation across diverse systems; integration into decision-support tools with workflow evaluation; assessment of impact on shared decision-making and outcomes.
IMPORTANCE: Perioperative cardiac arrest and cardiopulmonary resuscitation (CPR) are associated with significant morbidity and mortality. Despite a growing focus on goal-concordant surgical care and longstanding emphasis on preoperative code status discussions, clinicians lack tools to individualize risk estimates and inform shared decision-making (SDM) regarding perioperative CPR. OBJECTIVE: To generate and internally validate predictive models for 30-day mortality and nonhome discharge using routinely available preoperative data. DESIGN, SETTING, AND PARTICIPANTS: A prospective, multicenter, prognostic study of patients within the American College of Surgeons (ACS)-National Surgical Quality Improvement Program (NSQIP), including nearly 700 participating hospitals in the US, from January 1, 2012, through December 31, 2023. Follow-up duration was 30 days. Seven machine learning models were developed using 10-fold cross validation. Participants were patients aged 18 years or older undergoing noncardiac surgery who underwent CPR on the day of surgery. EXPOSURES: Thirty-three preoperative sociodemographic, clinical, laboratory, and procedural variables were evaluated for their association with 30-day mortality and nonhome discharge. MAIN OUTCOMES AND MEASURES: The primary outcome was 30-day mortality following CPR. The secondary outcome was nonhome discharge among survivors admitted from home. Performance was evaluated using area under the receiver operating characteristic curve (AUROC), accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and calibration (Brier score and calibration curves). Clinical utility was evaluated using Shapley additive values (SHAP) decision curve analysis (DCA). RESULTS: Among 6405 patients (median [IQR] age 69 [60-78], 3572 [55.8%] men, 860 [13.4%] Black, 4343 [67.8%] White, and 261 [4.1%] another racial category, including American Indian or Alaska Native, Asian, and Native Hawaiian or Other Pacific Islander), 3710 (57.9%) died within 30 days. The extreme gradient boosting model (CPR Outcome Prediction for Arrest in Surgical Settings [COMPASS]) achieved the best performance (AUROC for mortality = 0.80; 95 % CI, 0.78-0.82; accuracy = 0.73; 95% CI, 0.71-0.75; sensitivity = 0.77; 95% CI, 0.74-0.79; specificity = 0.68; 95% CI, 0.65-0.71; Brier score = 0.18). Among 2478 survivors admitted from home, 822 (33.2%) were discharged to a facility. For nonhome discharge, extreme gradient boosting demonstrated an AUROC of 0.78 (95 % CI, 0.74-0.82), accuracy of 0.76; and Brier score of 0.17. SHAP analysis identified American Society of Anesthesiologists status, case urgency, and frailty as key predictors. DCA indicated greater net benefit of extreme gradient boosting over default strategies (ie, treat all or treat none) across wide threshold ranges. CONCLUSIONS AND RELEVANCE: In this prospective prognostic study of outcomes following perioperative CPR, extreme gradient boosting generated individualized predictions of outcomes following perioperative CPR that may inform prevention strategies and goal-concordant surgical care.
2. Pain as a Driver of Myocardial Injury in Hip Fracture Patients: A Hip Fracture Accelerated Surgical Treatment and Care Track (HIP ATTACK) Trial Secondary Analysis.
In a secondary analysis of the HIP ATTACK trial (n=2,430 with pain and troponin data), higher perioperative pain intensity strongly correlated with troponin elevation and myocardial injury, and severe pain also correlated with myocardial infarction. These associations persisted after multivariable adjustment.
Impact: Identifies pain intensity as a potentially modifiable driver of perioperative myocardial injury in a vulnerable hip fracture population.
Clinical Implications: Prioritize early, multimodal, and adequately titrated analgesia; consider monitoring troponin in high-pain trajectories; test whether aggressive analgesic strategies reduce myocardial injury.
Key Findings
- Among 2,430 analyzed patients, 45% had any-cause troponin elevation.
- Moderate (OR 3.90) and severe pain (OR 29.24) were associated with any-cause troponin elevation after adjustment.
- Moderate (OR 2.09) and severe pain (OR 6.04) were associated with myocardial injury, while severe pain was associated with myocardial infarction (OR 2.33).
Methodological Strengths
- Large multicenter dataset with standardized daily pain and troponin assessments
- Robust multivariable adjustment using predefined covariates
Limitations
- Observational secondary analysis; residual confounding (e.g., disease severity, analgesic selection) possible
- Pain exposure averaged across days may obscure temporal dynamics
Future Directions: Randomized trials testing analgesic strategies targeting pain reduction to mitigate myocardial injury; mechanistic studies linking nociception, sympatho-adrenal activation, and myocardial oxygen supply-demand.
BACKGROUND: Pain is a common yet underaddressed issue in surgical inpatients. Inadequate pain control in patients with hip fractures can lead to adverse hemodynamic changes, potentially increasing the risk of myocardial ischemia. The authors aim to investigate whether perioperative pain is associated with the development of myocardial ischemic events in patients undergoing hip fracture surgery. METHODS: HIP fracture Accelerated surgical TreaTment And Care tracK (HIP ATTACK) was a multicenter international randomized controlled trial comparing the effects of accelerated surgical repair of hip fracture versus standard of care. The authors included patients enrolled in the HIP ATTACK trial who had at least one troponin measurement and a pain score measurement. Pain was assessed daily on hospital admission using the 0 to 10 numeric rating scale. The primary analysis included all available pain scores averaged (then categorized as mild [numeric rating scale 0 to 3], moderate [4 to 7], and severe [8 to 10] pain) before and on the day of the first troponin elevation. The primary outcome was troponin elevation from any cause, with secondary outcomes of myocardial injury (due to an ischemic etiology), myocardial infarction, and then a composite of myocardial injury and myocardial infarction. Multivariable regression models adjusting for potential confounders were used to identify an association between pain categories and outcomes. RESULTS: The authors included 2,430 (82%) from the initial HIP ATTACK cohort (n = 2,970). Forty-five percent of patients (1,098) suffered a troponin elevation from any cause. In the adjusted models, moderate (odds ratio, 3.90; 95% CI, 3.02 to 5.05) and severe pain (odds ratio, 29.24; 95% CI, 17.7 to 48.29) were associated with a troponin elevation of any cause. Similarly, moderate (odds ratio, 2.09; 95% CI, 1.71 to 2.57) and severe pain (odds ratio, 6.04, 95% CI, 4.49 to 8.12) were associated with myocardial injury, whereas only severe pain was associated with myocardial infarction (odds ratio, 2.33; 95% CI, 1.35 to 3.99). Both moderate and severe pain were associated with the composite outcome. CONCLUSIONS: Increased pain may be associated with myocardial ischemic events in the perioperative period in hip fracture patients. Future research is needed to confirm and further clarify this relationship and to determine whether analgesic interventions can reduce the risk of perioperative myocardial ischemia.
3. Effect of perioperative intranasal insulin on postoperative delirium in elderly hip fracture patients undergoing general anesthesia: a randomized controlled study.
In a randomized study of elderly patients undergoing hip fracture surgery under general anesthesia, perioperative intranasal insulin reduced 5-day postoperative delirium (10.9% vs 30.4%) and lowered IL-6 and CRP on postoperative day 1, without reported adverse events.
Impact: Offers a practical, noninvasive metabolic intervention that reduces postoperative delirium and inflammation in a high-risk elderly population.
Clinical Implications: Consider perioperative intranasal insulin as an adjunct to multimodal delirium prevention bundles in elderly hip fracture patients under general anesthesia, while awaiting larger multicenter trials.
Key Findings
- Perioperative intranasal insulin lowered 5-day POD incidence (10.9% vs 30.4%, P=0.020).
- POD incidence on postoperative day 3 was significantly reduced (2.2% vs 19.6%, P=0.007).
- IL-6 and CRP were lower on postoperative day 1 in the insulin group (both P<0.001) with no intervention-related adverse events.
Methodological Strengths
- Randomized allocation with clearly defined primary and secondary outcomes
- Objective biomarker assessment (IL-6, CRP) alongside clinical delirium measures
Limitations
- Single-center, modest sample size; blinding status not described
- Short follow-up window for delirium; generalizability beyond GA hip fracture population uncertain
Future Directions: Multicenter, double-blind RCTs to confirm efficacy and define dosing/timing; mechanistic studies on central insulin signaling, neuroinflammation, and delirium pathways.
OBJECTIVE: Postoperative delirium (POD) frequently occurs among elderly patients following surgery, yet effective preventive measures remain insufficiently established. This study aimed to investigate whether perioperative intranasal insulin (INI) administration could reduce the incidence of POD and modulate inflammatory marker levels in elderly patients undergoing hip fracture surgery under general anesthesia (GA). METHODS: From June to December 2024, a total of 96 elderly patients scheduled for hip fracture surgery with GA were enrolled and randomly assigned to two groups (48 per group). Patients in the insulin group received INI (20 units in 0.5 mL) twice daily, beginning two days preoperatively and continuing for five days. Patients in the control group received an equivalent volume of saline (0.5 mL) with the same dosing regimen. The primary outcome was POD incidence within five postoperative days, evaluated using the 3D-CAM-CN assessment tool. Secondary outcomes included serum levels of interleukin-6 (IL-6) and C-reactive protein (CRP), measured at baseline (T0; before intervention) and postoperative day 1 (T1) using immunofluorescence quantitative assays. RESULTS: Ninety-two patients completed the study, with an overall POD incidence rate of 20.7%. Patients treated with INI showed a significantly lower incidence of POD within the 5-day postoperative period (10.9% vs. 30.4%, P = 0.020). On postoperative day 3 (T2), the incidence of POD was notably reduced in the insulin group (2.2% vs. 19.6%, P = 0.007). No significant differences in POD incidence were observed on postoperative days 1 (T1) or 5 (T3). Serum IL-6 and CRP levels at T1 were lower in the insulin group compared to controls (P < 0.001), although both groups experienced significant elevations in these markers at T1 compared to baseline (T0) (P < 0.001). No adverse events related to interventions occurred during the study. CONCLUSION: Perioperative INI administration reduced the incidence of POD and decreased postoperative inflammatory markers (IL-6 and CRP) in elderly patients undergoing hip fracture surgery with GA. TRIAL REGISTRATION: This study was registered in the Chinese Clinical Trial Register (registration no. ChiCTR2400085627, registration date on 14/6/2024).