High body mass index is associated with elevated risk of perioperative ischemic stroke in patients who underwent noncardiac surgery: A retrospective cohort study.

BACKGROUND: Body mass index (BMI) serves as a global metric for assessing obesity and overall health status. However, the impact of BMI, treated as a continuous variable, on the risk of perioperative stroke remains poorly understood. This retrospective cohort study aimed to elucidate the association between BMI and the risk of perioperative ischemic stroke in patients undergoing non-cardiovascular surgery. METHODS: A cohort of 223,415 patients undergoing noncardiac surgery at the First Medical Center of Chinese PLA General Hospital between January 1, 2008 and August 31, 2019 was screened. Preoperative high BMI, defined as BMI >22.64 kg/m2, was the primary exposure, and the outcome of interest was the new diagnosis of perioperative ischemic stroke within 30 days post-surgery. Robust controls for patient and intraoperative factors were implemented to minimize residual confounding. Logistic regression and propensity score matching were employed, and patients were stratified into subgroups for further investigation. RESULTS: The overall incidence of perioperative ischemic stroke was 0.23% (n = 525) in the cohort. After adjusting for patient-related variables (OR 1.283; 95% CI, 1.04-1.594; p < 0.05), surgery-related variables (OR 1.484; 95% CI, 1.2-1.849; p < 0.001), and all confounding variables (OR 1.279; 95% CI, 1.025-1.607; p < 0.05), patients with BMI >22.64 kg/m2 exhibited a significantly increased risk of perioperative ischemic stroke. This association persisted in the propensity score matched cohort (OR 1.577; 95% CI, 1.203-2.073; p < 0.01). Subgroup analyses indicated that preoperative BMI >22.64 kg/m2 correlated with an elevated risk of perioperative ischemic stroke in female patients, those with coronary heart disease, peripheral vascular diseases, and individuals undergoing neurosurgery. CONCLUSION: We first identified BMI >22.64 kg/m2 as a substantial and independent risk factor for perioperative ischemic stroke in Chinese noncardiac surgery patients. Normal BMI may not suffice as a universal preventive standard. Instead, a more stringent perioperative weight management approach is recommended, particularly for specific subgroups such as female patients, those with coronary heart disease and peripheral vascular disease, and individuals scheduled for neurosurgery.

Comparing resident operative volumes for routine general surgery cases at academic, urban community, and rural training sites.

BACKGROUND: Surgical training traditionally took place at academic centres, but changed to incorporate community and rural hospitals. As little data exist comparing resident case volumes between these locations, the objective of this study was to determine variations in these volumes for routine general surgery procedures. METHODS: We analyzed senior resident case logs from 2009 to 2019 from a general surgery residency program. We classified training centres as academic, community, and rural. Cases included appendectomy, cholecystectomy, hernia repair, bowel resection, adhesiolysis, and stoma formation or reversal. We matched procedures to blocks based on date of case and compared groups using a Poisson mixed-methods model and 95% confidence intervals (CIs). RESULTS: We included 85 residents and 28 532 cases. Postgraduate year (PGY) 3 residents at academic sites performed 10.9 (95% CI 10.1-11.6) cases per block, which was fewer than 14.7 (95% CI 13.6-15.9) at community and 15.3 (95% CI 14.2-16.5) at rural sites. Fourth-year residents (PGY4) showed a greater difference, with academic residents performing 8.7 (95% CI 8.0-9.3) cases per block compared with 23.7 (95% CI 22.1-25.4) in the community and 25.6 (95% CI 23.6-27.9) at rural sites. This difference continued in PGY5, with academic residents performing 8.3 (95% CI 7.3-9.3) cases per block, compared with 18.9 (95% CI 16.8-21.0) in the community and 14.5 (95% CI 7.0-21.9) at rural sites. CONCLUSION: Senior residents performed fewer routine cases at academic sites than in community and rural centres. Programs can use these data to optimize scheduling for struggling residents who require exposure to routine cases, and help residents complete the requirements of a Competence by Design curriculum.

Technology-Based Music Interventions to Reduce Anxiety and Pain Among Patients Undergoing Surgery or Procedures: Systematic Review of the Literature.

BACKGROUND: Hospitalized patients undergoing surgery or procedures may experience negative symptoms. Music is a nonpharmacological complementary approach and is used as an intervention to reduce anxiety, stress, and pain in these patients. Recently, music has been used conveniently in clinical situations with technology devices, and the mode of providing music is an important factor in technology-based music interventions. However, many reviews have focused only on the effectiveness of music interventions. OBJECTIVE: We aimed to review randomized controlled trials (RCTs) of technology-based music interventions for reducing anxiety and pain among patients undergoing surgery or procedures. We examined the clinical situation, devices used, delivery methods, and effectiveness of technology-based music interventions in primary articles. METHODS: The search was performed in the following 5 electronic databases: PubMed, MEDLINE (OvidSP), CINAHL complete, PSYCINFO, and Embase. This systematic review focused on technology-based music interventions. The following articles were included: (1) RCTs, (2) studies using interactive technology (eg, smartphones, mHealth, tablets, applications, and virtual reality), (3) empirical studies reporting pain and anxiety outcomes, and (4) English articles published from 2018 to 2023 (as of January 18, 2023). The risk of bias was assessed using the Cochrane Risk of Bias tool version 2. RESULTS: Among 292 studies identified, 21 met the inclusion criteria and were included. Of these studies, 9 reported that anxiety scores decreased after music interventions and 7 reported that pain could be decreased before, during, and after procedures. The methodology of the music intervention was important to the results on anxiety and pain in the clinical trials. More than 50% (13/21, 62%) of the studies included in this review allowed participants to select themes themselves. However, it was difficult to distinguish differences in effects depending on the device or software used for the music interventions. CONCLUSIONS: Technology-based music interventions could help reduce anxiety and pain among patients undergoing surgery or procedures. The findings of this review could help medical teams to choose a practical methodology for music interventions. Future studies should examine the effects of advanced technology-based music interventions using smart devices and software that promote interactions between medical staff and patients.

Perioperative Primary Care Utilization and Postoperative Readmission, Emergency Department Use, and Mortality in Older Surgical Patients.

BACKGROUND: Postdischarge primary care follow-up is associated with lower readmission rates after medical hospitalizations. However, the effect of primary care utilization on readmission has not been studied in surgical patients. METHODS: Retrospective cohort study of Medicare beneficiaries aged 65 and older undergoing major inpatient diagnostic or therapeutic procedures (n = 3,552,906) from 2017 through 2018, examining the association between postdischarge primary care visits within 14 days of discharge (primary exposure), and Annual Wellness Visits in the year prior (secondary exposure), with 30-day unplanned readmission (primary outcome), emergency department visits, and mortality (secondary outcomes). RESULTS: Overall, 9.5% (n = 336,837) had postdischarge visits within 14 days, 2.9% (n = 104,571) had Annual Wellness Visits in the year preceding the procedure, 9.5% (n = 336,401) were readmitted, 9% (n = 319,054) had emergency department visits, and 0.6% (n = 22,103) of the cohort died within 30 days. Our fully adjusted propensity-matched proportional hazards Cox regression analysis showed that postdischarge visits were associated with a 5% lower risk of readmission (hazard ratio [HR], 0.95, 95% confidence interval [CI], 0.93-0.97), 43% higher risk of emergency department use (HR, 1.43, 95% CI, 1.40-1.46) and no difference in mortality risk (HR, 0.98, 95% CI, 0.90-1.06), compared with not having a visit within 14 days of discharge. In a separate set of regression models, Annual Wellness Visits were associated with a 9% lower risk of readmission (HR, 0.91, 95% CI, 0.88-0.95), 45% higher risk of emergency department utilization (HR, 1.45, 95% CI, 1.40-1.49) and an 18% lower mortality risk (HR, 0.82, 95% CI, 0.75-0.89) compared with no Annual Wellness Visit in the year before the procedure. CONCLUSIONS: Both postdischarge visits and the Medicare Annual Wellness Visit appear to be extremely underutilized among the older surgical population. In those patients who do utilize primary care, compared with propensity-matched patients who do not, our study suggests primary care use is associated with modestly lower readmission rates. Prospective studies are needed to determine whether targeted primary care involvement can reduce readmission.

The impact of health policy on surgical and trauma patients: Three key examples.

Health policy impacts the way surgical and trauma patients access, recover from, and pay for the medical care we deliver. In this editorial, we highlight 3 major policy directives that have or will affect millions of surgical and injured patients-Medicaid expansion, surprise billing, and housing in previously redlined districts. In doing so, we aim to elucidate the mechanisms by which health policies impact our patients and encourage participation and inquiry among surgeons when new health policies are being proposed at a national, state, or local level.

Discharge to Skilled Nursing Facility Is a Risk Factor for Readmission: A Nationwide Propensity-Matched Study.

INTRODUCTION: General surgery procedures place stress on geriatric patients, and postdischarge care options should be evaluated. We compared the association of discharge to a skilled nursing facility (SNF) versus home on patient readmission. METHODS: We retrospectively reviewed the Nationwide Readmission Database (2016-2019) and included patients ≥65 y who underwent a general surgery procedure between January and September. Our primary outcome was 30-d readmissions. Our secondary outcome was predictors of readmission after discharge to an SNF. We performed a 1:1 propensity-matched analysis adjusting for patient demographics and hospital course to compare patients discharged to an SNF with patients discharged home. We performed a sensitivity analysis on patients undergoing emergency procedures and a stepwise regression to identify predictors of readmission. RESULTS: Among 140,056 included patients, 33,916 (24.2%) were discharged to an SNF. In the matched population of 19,763 pairs, 30-d readmission was higher in patients discharged to an SNF. The most common diagnosis at readmission was sepsis, and a greater proportion of patients discharged to an SNF were readmitted for sepsis. In the sensitivity analysis, emergency surgery patients discharged to an SNF had higher 30-d readmission. Higher illness severity during the index admission and living in a small or fringe county of a large metropolitan area were among the predictors of readmission in patients discharged to an SNF, while high household income was protective. CONCLUSIONS: Discharge to an SNF compared to patients discharged home was associated with a higher readmission. Future studies need to identify the patient and facility factors responsible for this disparity.

Predicting perioperative myocardial injury/infarction after noncardiac surgery in patients under surgical and medical co-management: a prospective cohort study.

BACKGROUND: Perioperative myocardial injury/infarction (PMI) following noncardiac surgery is a frequent cardiac complication. This study aims to evaluate PMI risk and explore preoperative assessment tools of PMI in patients at increased cardiovascular (CV) risk who underwent noncardiac surgery under the surgical and medical co-management (SMC) model. METHODS: A prospective cohort study that included consecutive patients at increased CV risk who underwent intermediate- or high-risk noncardiac surgery at the Second Medical Center, Chinese PLA General Hospital, between January 2017 and December 2022. All patients were treated with perioperative management by the SMC team. The SMC model was initiated when surgical intervention was indicated and throughout the entire perioperative period. The incidence, risk factors, and impact of PMI on 30-day mortality were analyzed. The ability of the Revised Cardiac Risk Index (RCRI), frailty, and their combination to predict PMI was evaluated. RESULTS: 613 eligible patients (mean [standard deviation, SD] age 73.3[10.9] years, 94.6% male) were recruited consecutively. Under SMC, PMI occurred in 24/613 patients (3.9%). Patients with PMI had a higher rate of 30-day mortality than patients without PMI (29.2% vs. 0.7%, p = 0.00). The FRAIL Scale for frailty was independently associated with an increased risk for PMI (odds ratio = 5.91; 95% confidence interval [CI], 2.34-14.93; p = 0.00). The RCRI demonstrated adequate discriminatory capacity for predicting PMI (area under the curve [AUC], 0.78; 95% CI, 0.67-0.88). Combining frailty with the RCRI further increased the accuracy of predicting PMI (AUC, 0.87; 95% CI, 0.81-0.93). CONCLUSIONS: The incidence of PMI was relatively low in high CV risk patients undergoing intermediate- or high-risk noncardiac surgery under SMC. The RCRI adequately predicted PMI. Combining frailty with the RCRI further increased the accuracy of PMI predictions, achieving excellent discriminatory capacity. These findings may aid personalized evaluation and management of high-risk patients who undergo intermediate- or high-risk noncardiac surgery.

Surgical Handover Core Outcome Measures (SH-CORE): a protocol for the development of a core outcome set for trials in surgical handover.

BACKGROUND: Surgical handover is associated with a significant risk of care failures. Existing research displays methodological deficiencies and little consensus on the outcomes that should be used to evaluate interventions in this area. This paper reports a protocol to develop a core outcome set (COS) to support standardisation, comparability, and evidence synthesis in future studies of surgical handover between doctors. METHODS: This study adheres to the Core Outcome Measures in Effectiveness Trials (COMET) initiative guidance for COS development, including the COS-Standards for Development (COS-STAD) and Reporting (COS-STAR) recommendations. It has been registered prospectively on the COMET database and will be led by an international steering group that includes surgical healthcare professionals, researchers, and patient and public partners. An initial list of reported outcomes was generated through a systematic review of interventions to improve surgical handover (PROSPERO: CRD42022363198). Findings of a qualitative evidence synthesis of patient and public perspectives on handover will augment this list, followed by a real-time Delphi survey involving all stakeholder groups. Each Delphi participant will then be invited to take part in at least one online consensus meeting to finalise the COS. ETHICS AND DISSEMINATION: This study was approved by the Royal College of Surgeons in Ireland (RCSI) Research Ethics Committee (202309015, 7th November 2023). Results will be presented at surgical scientific meetings and submitted to a peer-reviewed journal. A plain English summary will be disseminated through national websites and social media. The authors aim to integrate the COS into the handover curriculum of the Irish national surgical training body and ensure it is shared internationally with other postgraduate surgical training programmes. Collaborators will be encouraged to share the findings with relevant national health service functions and national bodies. DISCUSSION: This study will represent the first published COS for interventions to improve surgical handover, the first use of a real-time Delphi survey in a surgical context, and will support the generation of better-quality evidence to inform best practice. TRIAL REGISTRATION: Core Outcome Measures in Effectiveness Trials (COMET) initiative 2675.  http://www.comet-initiative.org/Studies/Details/2675 .

Cohort profile of BIGPROMISE: a perioperative biobank of a high-risk surgical population.

PURPOSE: Postoperative complications increase mortality, disability and costs. Advanced understanding of the risk factors for postoperative complications is needed to improve surgical outcomes. This paper discusses the rationale and profile of the BIGPROMISE (biomarkers to guide perioperative management and improve outcome in high-risk surgery) cohort, that aims to investigate risk factors, pathophysiology and outcomes related to postoperative complications. PARTICIPANTS: Adult patients undergoing major surgery in two tertiary teaching hospitals. Clinical data and blood samples are collected before surgery, at the end of surgery and on the first, second and third postoperative day. At each time point a panel of cardiovascular, inflammatory, renal, haematological and metabolic biomarkers is assessed. Aliquots of plasma, serum and whole blood of each time point are frozen and stored. Data on severe complications are prospectively collected during 30 days after surgery. Functional status is assessed before surgery and after 120 days using the WHO Disability Assessment Schedule (WHODAS) 2.0. Mortality is followed up until 2 years after surgery. FINDINGS TO DATE: The first patient was enrolled on 8 October 2021. Currently (1 January 2024) 3086 patients were screened for eligibility, of whom 1750 (57%) provided informed consent for study participation. Median age was 66 years (60; 73), 28% were female, and 68% of all patients were American Society of Anaesthesiologists (ASA) physical status class 3. Most common types of major surgery were cardiac (49%) and gastro-intestinal procedures (26%). The overall incidence of 30-day severe postoperative complications was 16%. FUTURE PLANS: By the end of the recruitment phase, expected in 2026, approximately 3000 patients with major surgery will have been enrolled. This cohort allows us to investigate the role of pathophysiological perioperative processes in the cause of postoperative complications, and to discover and develop new biomarkers to improve risk stratification for adverse postoperative outcomes. TRIAL REGISTRATION NUMBER: NCT05199025.

Better Conversations for Better Informed Consent: Talking with Surgical Patients.

For more than sixty years, surgeons have used bioethical strategies to promote patient self-determination, many of these now collectively described as "informed consent." Yet the core framework-understanding, risks, benefits, and alternatives-fails to support patients in deliberation about treatment. We find that surgeons translate this framework into an overly complicated technical explanation of disease and treatment and an overly simplified narrative that surgery will "fix" the problem. They omit critical information about the goals and downsides of surgery and present untenable options as a matter of patient choice. We propose a novel framework called "better conversations." Herein, surgeons provide context about clinical norms, establish the goals of surgery, and comprehensively delineate the downsides of surgery to generate a deliberative space for patients to consider whether surgery is right for them. This paradigm shift meets the standards for informed consent, supports deliberation, and allows patients to anticipate and prepare for the experience of treatment.

[Cardiac biomarkers prior to noncardiac surgery]. / Kardiale Biomarker vor nicht-kardiochirurgischen Eingriffen.

BACKGROUND: Cardiac biomarkers, such as high-sensitivity cardiac troponin (hs-cTn) and brain natriuretic peptide (BNP) or N­terminal prohormone of brain natriuretic peptide (NT-proBNP) are measured perioperatively to improve the prognosis and risk prediction. The European Society of Cardiology (ESC), European Society of Anesthesiology and Intensive Care (ESAIC) and the German Society of Anesthesiology and Intensive Care Medicine (DGAI) have recently published guidelines on the use of cardiac biomarkers prior to surgery. OBJECTIVE/RESEARCH QUESTION: This article provides an overview of the available evidence on perioperative troponin and BNP/NT-proBNP measurements. Current guideline recommendations are presented and discussed. MATERIAL AND METHODS: MEDLINE, Cochrane and google.scholar were searched for relevant keywords. Titles and abstracts of identified papers were checked for relevance and published results were summarized. Guideline recommendations from the ESC, ESAIC and DGAI are presented, compared and evaluated based on the available literature. In addition, the significance of new perioperative cardiac biomarkers is discussed based on the existing evidence. RESULTS: The definitions, diagnosis and management of cardiovascular events in the perioperative context differ from those in the nonsurgical setting. The evidence for the measurement of hs-cTn and BNP/NT-proBNP is evaluated differently in the guidelines and the resulting recommendations are partly contradictory. In particular, recommendations for changes in perioperative management based on biomarker measurements diverge. The ESC guidelines propose an algorithm that uses preoperative biomarkers as the basis for additional cardiac investigations. In particular, invasive coronary angiography is recommended for patients with stable chronic coronary syndrome who have no preoperative cardiac symptoms but elevated biomarkers. In contrast, the ESAIC guidelines emphasize that the available evidence is not sufficient to use perioperative biomarker measurements as a basis for a change in perioperative management. DISCUSSION: Treating physicians should coordinate interdisciplinary (surgery, anesthesiology, cardiology) recommendations for clinical practice based on the aforementioned guidelines. If cardiac biomarkers are routinely determined in high-risk patients, this should be done in accordance with the ESC algorithm.

Identifying opportunities for global surgery in Cameroon: an analysis of existing health policies and events.

Introduction: the burden of diseases amenable to surgery, obstetrics, trauma, and anesthesia (SOTA) care is increasing globally but low- and middle-income countries are disproportionately affected. The Lancet Commission on Global Surgery proposed National Surgical, Obstetrics, and Anesthesia Plans as national policies to reduce the global SOTA burden. These plans are dependent on comprehensive stakeholder engagement and health policy analysis. Objective: in this study, we analyzed existing national health policies and events in Cameroon to identify opportunities for SOTA policies. Methods: we searched the Cameroonian Ministry of Health´s health policy database to identify past and current policies. Next, the policies were retrieved and screened for mentions of SOTA-related interventions using relevant keywords in French and English, and analyzed using the 'eight-fold path´ framework for public policy analysis. Results: we identified 136 policies and events and excluded 16 duplicates. The health policies and events included were implemented between 1967 and 2021. Fifty-nine policies and events (49.2%) mentioned SOTA care: governance (n=25), infrastructure (n=21), service delivery (n=11), workforce (n=11), information management (n=10), and funding (n=8). Most policies and events focused on maternal and neonatal health, followed by anesthesia, ophthalmologic surgery, and trauma. National, multinational civil society organizations and private stakeholders supported these policies and events, and the Cameroonian Ministry of Public Health was the largest funder. Conclusion: most Cameroonian SOTA-related policies and events focus on maternal and neonatal care, and health financing is the health system component with the least policies and events. Future SOTA policies should build on existing strengths while improving neglected areas, thus attaining shared global and national goals by 2030.

Randomized Pilot Trial of Pre- and Postoperative Heart Failure Nurse-Supported Care in Heart Failure Patients Requiring Noncardiac Surgery-Feasibility and Results.

INTRODUCTION: The perioperative cardiovascular management of patients undergoing noncardiac surgery is particularly challenging in those with pre-existing heart failure (HF). This study was designed to evaluate the effectiveness of nurse-based pre- and postoperative specialized HF management in reducing postoperative HF-associated complications in patients with known HF undergoing noncardiac surgery. METHODS: This prospective, randomized pilot study included patients with established HF requiring intermediate- to high-risk noncardiac surgery. Patients received postoperatively either standard care (control group, CG) or nurse-supported HF management (intervention group, IG). The primary endpoint was a composite of HF-related postoperative complications at 30 days. Secondary endpoints included length on intensive care unit, length of hospital stay, death, hospitalization for HF, and quality of life assessment using the SF-12 questionnaire. RESULTS: The trial was halted prematurely for futility. A total of 34 patients (median age 70.5 [IQR 67-75] years; with 15 HfpEF, 9 HfmrEF,10 HfrEF), with an average NT-proBNP of 1.413 [463-2.832] pg/mL were included. The IG had a lower rate of postoperative primary events (25%; n = 4) compared with the CG (33%; n = 6). There were no differences in secondary endpoints between the groups. Quality-of-life scores improved slightly in both groups (δ 5.6 ± 0.9 [CG] and 3.1 ± 1.2 [IG]). CONCLUSION: Nurse-based pre- and postoperative HF care appears to be feasible and may reduce HF-associated complications in patients undergoing noncardiac surgery. Larger clinical trials are needed to further evaluate the effectiveness of this approach in reducing postoperative complications in this high-risk patient population.

How ready is the health care system in Northeast India for surgical delivery? a mixed-methods study on surgical capacity and need.

BACKGROUND: Surgical services are scarce with persisting inequalities in access across populations and regions globally. As the world's most populous county, India's surgical need is high and delivery rates estimated to be sub-par to meet need. There is a dearth of evidence, particularly sub-regional data, on surgical provisioning which is needed to aid planning. AIM AND METHOD: This mixed-methods study examines the state of surgical care in Northeast India, specifically health care system capacity and barriers to surgical delivery. It involved a facility-based census and semi-structured interviews with surgeons and patients across four states in the region. RESULTS: Abdominal conditions constituted a large portion of the overall surgeries across public and private facilities in the region. Workloads varied among surgical providers across facilities. Task-shifting occurred, involving non-specialist nursing staff assisting doctors with surgical procedures or surgeons taking on anaesthetic tasks. Structural factors dis-incentivised facility-level investment in suitable infrastructure. Facility functionality was on average higher in private providers compared to public providers and private facilities offer a wider range of surgical procedures. Facilities in general had adequate laboratory testing capability, infrastructure and equipment. Public facilities often do not have surgeon available around the clock while both public and private facilities frequently lack adequate blood banking. Patients' care pathways were shaped by facility-level shortages as well as personal preferences influenced by cost and distance to facilities. DISCUSSION AND CONCLUSION: Skewed workloads across facilities and regions indicate uneven surgical delivery, with potentially variable care quality and provider efficiency. The need for a more system-wide and inter-linked approach to referral coordination and human resource management is evident in the results. Existing task-shifting practices, along with incapacities induced by structural factors, signal the directions for possible policy action.

Epidemiology of Opioid Prescribing After Discharge From Surgical Procedures Among Adults.

Importance: Opioid medications are commonly prescribed for the management of acute postoperative pain. In light of increasing awareness of the potential risks of opioid prescribing, data are needed to define the procedures and populations for which most opioid prescribing occurs. Objective: To identify the surgical procedures accounting for the highest proportion of opioids dispensed to adults after surgery in the United States. Design, Setting, and Participants: This cross-sectional analysis of the 2020-2021 Merative MarketScan Commercial and Multi-State Databases, which capture medical and pharmacy claims for 23 million and 14 million annual privately insured patients and Medicaid beneficiaries, respectively, included surgical procedures for individuals aged 18 to 64 years with a discharge date between December 1, 2020, and November 30, 2021. Procedures were identified using a novel crosswalk between 3664 Current Procedural Terminology codes and 1082 procedure types. Data analysis was conducted from November to December 2023. Main Outcomes and Measures: The total amount of opioids dispensed within 3 days of discharge from surgery across all procedures in the sample, as measured in morphine milligram equivalents (MMEs), was calculated. The primary outcome was the proportion of total MMEs attributable to each procedure type, calculated separately among procedures for individuals aged 18 to 44 years and those aged 45 to 64 years. Results: Among 1 040 934 surgical procedures performed (mean [SD] age of patients, 45.5 [13.3] years; 663 609 [63.7%] female patients), 457 016 (43.9%) occurred among individuals aged 18 to 44 years and 583 918 (56.1%) among individuals aged 45 to 64 years. Opioid prescriptions were dispensed for 503 058 procedures (48.3%). Among individuals aged 18 to 44 years, cesarean delivery accounted for the highest proportion of total MMEs dispensed after surgery (19.4% [11 418 658 of 58 825 364 MMEs]). Among individuals aged 45 to 64 years, 4 of the top 5 procedures were common orthopedic procedures (eg, arthroplasty of knee, 9.7% of total MMEs [5 885 305 of 60 591 564 MMEs]; arthroscopy of knee, 6.5% [3 912 616 MMEs]). Conclusions and Relevance: In this cross-sectional study of the distribution of postoperative opioid prescribing in the United States, a small number of common procedures accounted for a large proportion of MMEs dispensed after surgery. These findings suggest that the optimal design and targeting of surgical opioid stewardship initiatives in adults undergoing surgery should focus on the procedures that account for the most opioid dispensed following surgery over the life span, such as childbirth and orthopedic procedures. Going forward, systems that provide periodic surveillance of opioid prescribing and associated harms can direct quality improvement initiatives to reduce opioid-related morbidity and mortality.

Frailty-aware surgical care: Validation of Hospital Frailty Risk Score (HFRS) in older surgical patients.

Introduction: Frailty has an important impact on the health outcomes of older patients, and frailty screening is recommended as part of perioperative evaluation. The Hospital Frailty Risk Score (HFRS) is a validated tool that highlights frailty risk using 109 International Classification of Diseases, 10th revision (ICD-10) codes. In this study, we aim to compare HFRS to the Charlson Comorbidity Index (CCI) and validate HFRS as a predictor of adverse outcomes in Asian patients admitted to surgical services. Method: A retrospective study of electronic health records (EHR) was undertaken in patients aged 65 years and above who were discharged from surgical services between 1 April 2022 to 31 July 2022. Patients were stratified into low (HFRS <5), interme-diate (HFRS 5-15) and high (HFRS >15) risk of frailty. Results: Those at high risk of frailty were older and more likely to be men. They were also likely to have more comorbidities and a higher CCI than those at low risk of frailty. High HFRS scores were associated with an increased risk of adverse outcomes, such as mortality, hospital length of stay (LOS) and 30-day readmission. When used in combination with CCI, there was better prediction of mortality at 90 and 270 days, and 30-day readmission. Conclusion: To our knowledge, this is the first validation of HFRS in Singapore in surgical patients and confirms that high-risk HFRS predicts long LOS (≥7days), increased unplanned hospital readmissions (both 30-day and 270-day) and increased mortality (inpatient, 10-day, 30-day, 90-day, 270-day) compared with those at low risk of frailty.

A simple machine learning model for the prediction of acute kidney injury following noncardiac surgery in geriatric patients: a prospective cohort study.

BACKGROUND: Surgery in geriatric patients often poses risk of major postoperative complications. Acute kidney injury (AKI) is a common complication following noncardiac surgery and is associated with increased mortality. Early identification of geriatric patients at high risk of AKI could facilitate preventive measures and improve patient prognosis. This study used machine learning methods to identify important features and predict AKI following noncardiac surgery in geriatric patients. METHODS: The data for this study were obtained from a prospective cohort. Patients aged ≥ 65 years who received noncardiac surgery from June 2019 to December 2021 were enrolled. Data were split into training set (from June 2019 to March 2021) and internal validation set (from April 2021 to December 2021) by time. The least absolute shrinkage and selection operator (LASSO) regularization algorithm and the random forest recursive feature elimination algorithm (RF-RFE) were used to screen important predictors. Models were trained through extreme gradient boosting (XGBoost), random forest, and LASSO. The SHapley Additive exPlanations (SHAP) package was used to interpret the machine learning model. RESULTS: The training set included 6753 geriatric patients. Of these, 250 (3.70%) patients developed AKI. The XGBoost model with RF-RFE selected features outperformed other models with an area under the precision-recall curve (AUPRC) of 0.505 (95% confidence interval [CI]: 0.369-0.626) and an area under the receiver operating characteristic curve (AUROC) of 0.806 (95%CI: 0.733-0.875). The model incorporated ten predictors, including operation site and hypertension. The internal validation set included 3808 geriatric patients, and 96 (2.52%) patients developed AKI. The model maintained good predictive performance with an AUPRC of 0.431 (95%CI: 0.331-0.524) and an AUROC of 0.845 (95%CI: 0.796-0.888) in the internal validation. CONCLUSIONS: This study developed a simple machine learning model and a web calculator for predicting AKI following noncardiac surgery in geriatric patients. This model may be a valuable tool for guiding preventive measures and improving patient prognosis. TRIAL REGISTRATION: The protocol of this study was approved by the Committee of Ethics from West China Hospital of Sichuan University (2019-473) with a waiver of informed consent and registered at www.chictr.org.cn (ChiCTR1900025160, 15/08/2019).