Surgery and Suicide Deaths Among Patients With Cancer.

This cohort study describes suicide incidence among patients with cancer compared with the general population and by surgical status and cancer treatment.

Cardiovascular-Kidney-Metabolic Syndrome: Association with Adverse Events After Major Noncardiac Surgery.

BACKGROUND: The American Heart Association (AHA) recently defined the cardiovascular-kidney-metabolic syndrome (CKM) as a new entity to address the complex interactions between heart, kidneys, and metabolism. The aim of this study was to assess the outcome impact of CKM syndrome in patients undergoing noncardiac surgery. METHODS: This is a secondary analysis of a prospective international cohort study including patients aged ≥45 years with increased cardiovascular risk undergoing noncardiac surgery. Main exposure was CKM syndrome according to the AHA definition. The primary end point was a composite of major adverse cardiovascular events (MACE) 30 days after surgery. Secondary end points included all-cause mortality and non-MACE complications (Clavien-Dindo class ≥3). RESULTS: This analysis included 14,634 patients (60.8% male, mean age = 72±8 years). MACE occurred in 308 patients (2.1%), and 335 patients (2.3%) died. MACE incidence by CKM stage was as follows: CKM 0: 5/367 = 1.4% (95% confidence interval [CI], 0.4%-3.2%); CKM 1: 3/367 = 0.8% (95% CI, 0.2%-2.4%); CKM 2: 102/7440 = 1.4% (95% CI, 1.1%-1.7%); CKM 3: 27/953 = 2.8% (95% CI, 1.9%-4.1%); CKM 4a: 164/5357 = 3.1% (95% CI, 2.6%-3.6%); CKM 4b: 7/150 = 4.7% (95% CI, 1.9%-9.4%). In multivariate logistic regression, CKM stage ≥3 was independently associated with MACE, mortality, and non-MACE complications, respectively (MACE: OR 2.26 [95% CI, 1.78-2.87]; mortality: OR 1.42 [95% CI: 1.13 -1.78]; non-MACE complications: OR 1.11 [95% CI: 1.03-1.20]). CONCLUSION: The newly defined CKM syndrome is associated with increased morbidity and mortality after non-cardiac surgery. Thus, cardiovascular, renal, and metabolic disorders should be regarded in mutual context in this setting.

Disparities in perioperative mortality outcomes between First Nations and non-First Nations peoples in Australia: protocol for a systematic review and planned meta-analysis.

BACKGROUND: Health inequities persist among First Nations people living in developed countries. Surgical care is pivotal in addressing a significant portion of the global disease burden. Evidence regarding surgical outcomes among First Nations people in Australia is limited. The perioperative mortality rate (POMR) indicates timely access to safe surgery and predicts long-term survival after major surgery. This systematic review will examine POMR among First Nations and non-First Nations peoples in Australia. METHODS: A systematic search strategy using MEDLINE, Embase, Emcare, Global Health, and Scopus will identify studies that include First Nations people and non-First Nations people who underwent a surgical intervention under anaesthesia in Australia. The primary focus will be on documenting perioperative mortality outcomes. Title and abstract screening and full-text review will be conducted by independent reviewers, followed by data extraction and bias assessment using the ROBINS-E tool. Meta-analysis will be considered if there is sufficient homogeneity between studies. The quality of cumulative evidence will be evaluated following the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) criteria. DISCUSSION: This protocol describes the comprehensive methodology for the proposed systematic review. Evaluating disparities in perioperative mortality rates between First Nations and non-First Nations people remains essential in shaping the discourse surrounding health equity, particularly in addressing the surgical burden of disease. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021258970.

Neonatal surgical mortality at a low resource setting, HEAL Africa tertiary hospital, Eastern Democratic Republic of the Congo.

PURPOSE: This study describes the experience with common neonatal surgical conditions and their outcomes at a single center in the Eastern Democratic Republic of the Congo (DRC) over a period of 7 years (2016-2022). METHODS: A retrospective review of neonatal surgical admissions and their outcomes was performed for patient admitted between January 2016 and December 2022 at HEAL Africa teaching hospital. Data were collected from the neonatal admission and discharge registry for all patients with a potential surgical condition. RESULTS: 107 neonates potentially requiring surgery were identified. 81.3% were referred from facilities within 10 km of HEAL Africa. The most common diagnosis was myelomeningocele/meningocele (27.1%). 68.2% of patients had an operation. The overall mortality was 29% for all patients and mean length of stay 9.9 days. Operated patients had a lower mortality at 16.4% (p-value < 0.001, OR 0.155, CI 0.062-0.389) while patients with a birth weight of less than 2500 g were more likely to die (p-value < 0.001, OR 5.333, CI 2.062-13.79). CONCLUSION: The neonatal mortality rate for patients presenting with a potential surgical condition is extremely high. This is multifactorial and largely related to patient selection inherent to resource limitations.

Race, Ethnicity, and Pediatric Postsurgical Mortality: Current Trends and Future Projections.

BACKGROUND: No study has contextualized the aggregate human costs attributable to disparities in pediatric postsurgical mortalities in the United States, a critical step needed to convey the scale of racial inequalities to clinicians, policymakers, and the public. METHODS: We conducted a population-based study of 673 677 children from US hospitals undergoing intermediate to high-risk surgery between 2000 and 2019. We estimated the excess deaths that could be avoided if Black and Hispanic children had comparable mortality rates to white children. We estimated the mortality reduction required to eliminate disparities within the next decade. We finally evaluated the impact of policy changes targeting a modest annual 2.5% reduction in disparity-attributable mortality. RESULTS: During 2000 to 2019, risk-adjusted postoperative mortality trended consistently higher for both Black (adjusted RR [aRR]: 1.42, 95% confidence interval [CI]: 1.36-1.49) and Hispanic children (aRR: 1.22, 95% CI: 1.17-1.27) than for white children. These disparity gaps were driven by higher mortality in Black and Hispanic children receiving surgery in nonteaching hospitals (Black versus white aRR: 1.63, 95% CI: 1.38-1.93; Hispanic versus white aRR: 1.50, 95% CI: 1.33-1.70). There were 4700 excess deaths among Black children and 5500 among Hispanic children, representing. 10 200 (average: 536 per year) excess deaths among minoritized children. Policy changes achieving an annual 2.5% reduction in postoperative mortality would prevent approximately 1100 deaths among Black children in the next decade. CONCLUSIONS: By exploring the solution, and not just the problem, our study provides a framework to reduce disparities in pediatric postoperative mortality over the next decade.

First do no harm: Predicting futility of intervention in geriatric emergency general surgery.

BACKGROUND: Emergent surgical conditions are common in geriatric patients, often necessitating major operative procedures on frail patients. Understanding risk profiles is crucial for decision-making and establishing goals of care. METHODS: We queried NSQIP 2015-2019 for patients ≥65 years undergoing open abdominal surgery for emergency general surgery conditions. Logistic regression was used to identify 30-day mortality predictors. RESULTS: Of 41,029 patients, 5589 (13.6 â€‹%) died within 30 days of admission. The highest predictors of mortality were ASA status 5 (aOR 9.7, 95 â€‹% CI,3.5-26.8, p â€‹< â€‹0.001), septic shock (aOR 4.9, 95 â€‹% CI,4.5-5.4, p â€‹< â€‹0.001), and dialysis (aOR 2.1, 95 â€‹% CI,1.8-2.4, p â€‹< â€‹0.001). Without risk factors, mortality rates were 11.9 â€‹% after colectomy and 10.2 â€‹% after small bowel resection. Patients with all three risk factors had a mortality rate of 79.4 â€‹% and 100 â€‹% following colectomy and small bowel resection, respectively. CONCLUSIONS: In older adults undergoing emergent open abdominal surgery, septic shock, ASA status, and dialysis were strongly associated with futility of surgical intervention. These findings can inform goals of care and informed decision-making.

Intraoperative hypotension is associated with decreased long-term survival in older patients after major noncardiac surgery: Secondary analysis of three randomized trials.

STUDY OBJECTIVE: To assess the association of intraoperative hypotension with long-term survivals in older patients after major noncardiac surgery mainly for cancer. DESIGN: A secondary analysis of databases from three randomized trials with long-term follow-up. SETTING: The underlying trials were conducted in 17 tertiary hospitals in China. PATIENTS: Patients aged 60 to 90 years who underwent major noncardiac thoracic or abdominal surgeries (≥ 2 h) in a single center were included in this analysis. EXPOSURES: Restricted cubic spline models were employed to determine the lowest mean arterial pressure (MAP) threshold that was potentially harmful for long-term survivals. Patients were arbitrarily divided into three groups according to the cumulative duration or area under the MAP threshold. The association between intraoperative hypotension exposure and long-term survivals were analyzed with the Cox proportional hazard regression models. MEASUREMENTS: Our primary endpoint was overall survival. Secondary endpoints included recurrence-free and event-free survivals. MAIN RESULTS: A total of 2664 patients (mean age 69.0 years, 34.9% female sex, 92.5% cancer surgery) were included in the final analysis. MAP < 60 mmHg was adopted as the threshold of intraoperative hypotension. Patients were divided into three groups according to duration under MAP < 60 mmHg (<1 min, 1-10 min, and > 10 min) or area under MAP <60 mmHg (< 1 mmHg⋅min, 1-30 mmHg⋅min, and > 30 mmHg⋅min). After adjusting confounders, duration under MAP < 60 mmHg for > 10 min was associated with a shortened overall survival when compared with the < 1 min patients (adjusted hazard ratio [HR] 1.31, 95% confidence interval [CI] 1.09 to 1.57, P = 0.004); area under MAP < 60 mmHg for > 30 mmHg⋅min was associated with a shortened overall survival when compared with the < 1 mmHg⋅min patients (adjusted HR 1.40, 95% CI 1.16 to 1.68, P < 0.001). Similar associations exist between duration under MAP < 60 mmHg for > 10 min or area under MAP < 60 mmHg for > 30 mmHg⋅min and recurrence-free or event-free survivals. CONCLUSIONS: In older patients who underwent major noncardiac surgery mainly for cancer, intraoperative hypotension was associated with worse overall, recurrence-free, and event-free survivals.

Associations of inflammatory biomarkers with morbidity and mortality after noncardiac surgery: A systematic review and meta-analysis.

BACKGROUND: Noncardiac surgery is associated with an inflammatory response. Whether increased inflammation in the perioperative period is associated with subsequent morbidity and mortality is unknown. METHODS: MEDLINE, EMBASE, and CENTRAL were systematically searched from date of inception until May 2023. Longitudinal studies were included if they reported multivariable adjusted associations of biomarkers measured preoperatively and/or within 10 days after surgery with at least one prespecified adverse outcome in noncardiac surgery patients. Data were extracted independently and in duplicate. Risk estimates were pooled using DerSimonian-Laird random-effects models and reported as summary odds ratios (ORs) with 95% CIs. The outcomes were all-cause mortality and major adverse cardiovascular events. RESULTS: Fifty-two studies with a total of 121,849 patients were included. The median follow-up was 56 [IQR, 28-63] months and the average age was 57 (±3) years. Elevated preoperative C-reactive protein (CRP) levels were associated with a higher risk of mortality (OR 1.57, 95% CI 1.29-1.90, I2 = 93%, 28 studies). This association was stronger in non-cancer surgery populations (OR 2.10, 95% CI 1.92-2.31, I2 = 0%, 4 studies) when compared to cancer surgery populations (OR 1.51, 95% CI 1.26-1.81, I2 = 83%, 24 studies) (p for subgroup difference = 0.001). Similarly, higher postoperative CRP levels were associated with all-cause mortality (OR 1.61, 95% CI 1.17-2.20, I2 = 90%, 7 studies). Higher preoperative CRP levels were associated with major cardiovascular events (OR 2.11, 95% CI 1.51-2.94, I2 = 0%, 2 studies). Other preoperatively measured biomarkers associated with all-cause mortality were fibrinogen (OR 1.48, 95% CI 1.05-2.09, I2 = 52%, 5 studies), interleukin-6 (OR 1.17, 95% CI 1.07-1.28, I2 = 27%, 3 studies), and tumour necrosis factor-alpha (OR 1.37, 95% CI 1.16-1.61, I2 = 0%, 2 studies). CONCLUSION AND RELEVANCE: Inflammatory biomarker levels in the perioperative period were associated with all-cause mortality and adverse cardiovascular events in patients undergoing noncardiac surgery.

Morbidity and mortality of emergency surgery in octogenarian patient.

OBJECTIVE: To evaluate the health outcomes (postoperative morbidity and mortality) and the functional status at discharge of elderly patients older than 80 years who underwent emergency surgery. METHOD: Patients > 80 years of age who underwent emergency surgery during one year at the Marqués de Valdecilla University Hospital, Santander, Spain. Preoperative data (age, sex, type of surgery, comorbidity) and postoperative data (complications) were evaluated, as well as in-hospital mortality, at 30 days and 6 months after surgery. RESULTS: Five-hundred-sixty-eight patients underwent emergency surgery between 2018 and 2019. After the review, 407 patients were included in the study. Average age: 86.9 years. Women 61.7%. Mean hospital stay: 10.4 days. Traumatic interventions 41.3%, vascular surgery 19.7%, general-digestive surgery 25.3%. Medium ASA risk: 2.88. Functional status at discharge: 3.15. Postoperative complications: Clavien-Dindo I 40.8%, II 40.3%, IIIA 3.4%, IIIB 2.5%, IVA 3.9%, IVB 2.0% and V 7.1%. Hospital mortality 7.1%, 30-day mortality 10.3%, mortality at 6 months 24.6%. CONCLUSIONS: Patients > 80 years of age undergoing urgent surgery have high preoperative comorbidity, postoperative complications, and high mortality at 30 days and 6 months after surgery. This mortality is more significant in those ASA IV, nonagenarians and those undergoing high-risk surgery.

OBJETIVO: Evaluar los resultados en salud (morbilidad y mortalidad posoperatorias) y el estado funcional al alta de los pacientes mayores de 80 años sometidos a cirugía de urgencia. MÉTODO: Pacientes de edad > 80 años sometidos a cirugía de urgencia durante 1 año en el Hospital Universitario Marqués de Valdecilla, Santander, España. Se evaluaron datos preoperatorios (edad, sexo, tipo de cirugía, comorbilidad) y posoperatorios (complicaciones), así como mortalidad hospitalaria, a los 30 días y a los 6 meses de la cirugía. RESULTADOS: En 2018-2019 fueron operados de urgencia 568 pacientes, de los cuales 407 fueron incluidos en el estudio. Edad media: 86.9 años. El 61.7% fueron mujeres. Estancia media hospitalaria: 10.4 días. El 41.3% fueron intervenciones traumatológicas, el 19.7% cirugía vascular, el 25.3% cirugía general-digestiva. Riesgo ASA medio: 2.88. Estado funcional al alta: 3.15. Complicaciones posoperatorias: Clavien-Dindo I 40.8%, II 40.3%, IIIA 3.4%, IIIB 2.5%, IVA 3.9%, IVB 2.0% y V 7.1%. Mortalidad: hospitalaria 7.1%, a los 30 días 10.3% y a los 6 meses 24.6%. CONCLUSIONES: Los pacientes > 80 años sometidos a cirugía urgente presentan elevada comorbilidad preoperatoria, complicaciones posoperatorias y elevada mortalidad a 30 días y 6 meses de la cirugía. Esta mortalidad es más significativa en los ASA IV, nonagenarios y sometidos a cirugía de alto riesgo.

Association between type of index complication and outcomes after noncardiac surgery.

BACKGROUND: Failure to rescue, or the death of a patient after a surgical complication, largely occurs in patients who develop a cascade of postoperative complications. However, it is unclear whether there are specific types of index complications that are more strongly associated with failure to rescue, additional secondary complications, or other types of postoperative outcomes. This is a national cohort study of veterans who underwent noncardiac surgery at Veterans Affairs hospitals using data from the Veterans Affairs Surgical Quality Improvement Program (January 1, 2016 to September 30, 2021). Index complications were grouped into categories (cardiovascular, venous thromboembolism, pulmonary, bleeding/transfusion, renal, central nervous system, wound, sepsis, Clostridium difficile colitis, graft, or minor [defined as complications having an associated mortality rate <1%]). The association between type of index complication and failure to rescue, secondary complications, reoperation, and postoperative length of stay was evaluated with multivariable, hierarchical regression, and risk of death assessed with shared frailty modeling. RESULTS: Among 574,195 patients, 5.3% had at least 1 complication (of which 26.1% had secondary complications, and 8.2% had failure to rescue), and 4.5% had a reoperation. Secondary complication (5.0%-61.4%) and failure to rescue (0.8%-34.2%) rates varied by the type of index complication. Relative to index minor complications, index bleeding was most associated with secondary complication (subdistribution hazard ratio 1.4, 95% confidence interval [1.1-1.8]), index cardiac complications were most associated with failure to rescue (odds ratio 45.4 [34.5-59.7]), index graft complications were most associated with reoperation (odds ratio 96.0 [79.5-115.8]), and index pulmonary complications were associated with 2.6 times longer length of stay (incident rate ratio 2.6 [2.6-2.7]). Index cardiac and central nervous system complications were most strongly associated with risk of death (cardiac-hazard ratio 2.45, 95% confidence interval [2.14-2.81]; central nervous system-hazard ratio 1.84 [1.49-2.27]). CONCLUSION: Different types of index complications are associated with different outcome profiles. This suggests surgical quality improvement efforts should be tailored not only to the type of index complication to be addressed but also to the desired outcome to improve.

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.

Association of the TyG index with prognosis in surgical intensive care patients: data from the MIMIC-IV.

BACKGROUND: The triglyceride-glucose (TyG) index, a tool for assessing insulin resistance, is increasingly recognized for its ability to predict cardiovascular and metabolic risks. However, its relationship with trauma and surgical patient prognosis is understudied. This study investigated the correlation between the TyG index and mortality risk in surgical/trauma ICU patients to identify high-risk individuals and improve prognostic strategies. METHODS: This study identified patients requiring trauma/surgical ICU admission from the Medical Information Mart for Intensive Care (MIMIC-IV) database, and divided them into tertiles based on the TyG index. The outcomes included 28-day mortality and 180-day mortality for short-term and long-term prognosis. The associations between the TyG index and clinical outcomes in patients were elucidated using Cox proportional hazards regression analysis and RCS models. RESULTS: A total of 2103 patients were enrolled. The 28-day mortality and 180-day mortality rates reached 18% and 24%, respectively. Multivariate Cox proportional hazards analysis revealed that an elevated TyG index was significantly related to 28-day and 180-day mortality after covariates adjusting. An elevated TyG index was significantly associated with 28-day mortality (adjusted hazard ratio, 1.19; 95% confidence interval 1.04-1.37) and 180-day mortality (adjusted hazard ratio, 1.24; 95% confidence interval 1.11-1.39). RCS models revealed that a progressively increasing risk of mortality was related to an elevated TyG index. According to our subgroup analysis, an elevated TyG index is associated with increased risk of 28-day and 180-day mortality in critically ill patients younger than 60 years old, as well as those with concomitant stroke or cardiovascular diseases. Additionally, in nondiabetic patients, an elevated TyG index is associated with 180-day mortality. CONCLUSION: An increasing risk of mortality was related to an elevated TyG index. In critically ill patients younger than 60 years old, as well as those with concomitant stroke or cardiovascular diseases, an elevated TyG index is associated with adverse short-term and long-term outcomes. Furthermore, in non-diabetic patients, an elevated TyG index is associated with adverse long-term prognosis.

Implementation of a geriatric in-reach service improves acute surgical unit outcomes; a retrospective before-and-after study.

BACKGROUND: Australia's ageing population is challenging for surgical units and there is a paucity of evidence for geriatric co-management in acute general surgery. We aimed to assess if initiating a Geriatric Medicine in-reach service improved outcomes for older adults in our Acute Surgical Unit (ASU). METHODS: The Older Adult Surgical Inpatient Service (OASIS) was integrated into ASU in 2021. We retrospectively reviewed all patients over age 65 admitted to ASU over a 12-month period before and after service integration with a length of stay (LOS) greater than 24 h. There was no subsequent truncation or selection. Primary outcomes were 30-day mortality, LOS, and 28-day readmissions. Secondary outcomes were discharge disposition, in-hospital mortality, and hospital-acquired complications (HACs). RESULTS: 1339 consecutive patients were included in each group, with no differences in baseline characteristics. There was a significant decrease in 28-day readmissions from 20.2% to 16.0% (P < 0.05), greatest in patients undergoing non-EL operative procedures (21.9% pre-OASIS vs. 12.6% post-OASIS; P < 0.05). Trends towards reduced 30-day mortality (7.17% vs. 5.90%; P = 0.211), in-hospital mortality (3.88% vs. 2.91%; P = 0.201), permanent care placement (7.77% vs. 7.09%; P = 0.843) and HACs (8.14% vs. 7.62%; P = 0.667) were seen, although statistical significance was not demonstrated. LOS remained unchanged at 4 days (P = 0.653). CONCLUSION: The addition of a geriatric in-reach service to a tertiary ASU led to a significant reduction in 28-day readmissions. Downtrends were seen in mortality, permanent care placement, and HAC rates, while LOS remained unchanged.

Does delayed operation increase morbidity and mortality? An analysis of emergency general surgery procedures.

BACKGROUND: Early operation is assumed to improve outcomes after emergency general surgery (EGS) procedures; however, few data exist to inform this opinion. We aimed to (1) characterize time-to-operation patterns among EGS procedures and (2) test the association between timing and patient outcomes. We hypothesize that patients receiving later operations are at greater risk for mortality and morbidity. METHODS: We performed a retrospective cohort study of the American College of Surgeons National Surgical Quality Improvement Program data for adults aged 18 to 89 years who underwent nonelective intra-abdominal operations (appendectomy, cholecystectomy, small bowel resection, lysis of adhesions, and colectomy) from 2015 to 2020. The primary outcome was 30-day postoperative mortality. Secondary outcomes were serious morbidity and all morbidity. Admission-to-operation timing was calculated and classified as early (≤48 hours) or late (>48 hours). A multivariable logistic regression model adjusted risk estimates for age, comorbidities, frailty (Modified Frailty Index, 5-item score), and other confounders. RESULTS: Of 269,959 patients (mean age, 47.0 years; 48.0% male, 61.6% White), 88.7% underwent early operation, ranging from 70.36% (lysis of adhesions) to 98.67% (appendectomy). Unadjusted 30-day mortality was higher for late versus early operation (6.73% vs. 1.96%; p < 0.0001). After risk adjustment, late operation significantly increased risk for 30-day mortality (odds ratio [OR], 1.545; 95% confidence interval [CI], 1.451-1.644), serious morbidity (OR, 1.464; 95% CI, 1.416-1.514), and all morbidity (OR, 1.468; 95% CI, 1.417-1.520). This mortality risk persisted for all EGS procedures; risk of serious and any morbidity persisted for all procedures except cholecystectomy. CONCLUSION: Late operation significantly increased risk for 30-day mortality, serious morbidity, and all morbidity across a variety of EGS procedures. We believe that these findings will inform decisions regarding timing of EGS operations and allocation of surgical resources. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level III.

Impact of peri-operative frailty and operative stress on post-discharge mortality, readmission and days at home in Medicare beneficiaries.

BACKGROUND: Understanding how patients' frailty and the physiological stress of surgical procedures affect postoperative outcomes may inform risk stratification of older patients undergoing surgery. The objective of the study was to examine the association of peri-operative frailty with mortality, 30-day readmission and days at home after non-cardiac surgical procedures of different physiological stress. METHODS: This retrospective study used Medicare claims data from a 7.125% random sample of Medicare fee-for-service beneficiaries from 2015 to 2019 who were aged ≥ 65 years and underwent non-cardiac surgical procedure listed in the Operative Stress Score categories. The exposure of the study was claims-based frailty index (robust, < 0.15; pre-frail, 0.15 to < 0.25; mildly frail, 0.25 to < 0.35; and moderate-to-severely frail, ≥ 0.35) with Operative Stress Score categories being 1, very low stress to 5, very high stress. The primary outcome was all-cause mortality at 30 days and 365 days after the surgical procedure. RESULTS: In total, 1,019,938 patients (mean (SD) age of 76.1 (7.3) years; 52.3% female; 16.8% frail) were included. The cumulative incidence of mortality generally increased with Operative Stress Score category, ranging from 5.0% (Operative Stress Score 2) to 24.9% (Operative Stress Score 4) at 365 days. Within each category, increasing frailty was associated with mortality at 30 days (hazard ratio comparing moderate-to-severe frailty vs. robust ranged from 1.59-3.91) and at 365 days (hazard ratio 1.30-4.04). The variation in postoperative outcomes by patients' frailty level was much greater than the variation by the operative stress category. CONCLUSIONS: These results emphasise routine frailty screening before major and minor non-cardiac procedures and the need for greater clinician awareness of postoperative outcomes beyond 30 days in shared decision-making with older adults with frailty.

Mortality following noncardiac surgery assessed by the Saint Louis University Score (SLUScore) for hypotension: a retrospective observational cohort study.

BACKGROUND: The Saint Louis University Score (SLUScore) was developed to quantify intraoperative blood pressure trajectories and their associated risk for adverse outcomes. This study examines the prevalence and severity of intraoperative hypotension described by the SLUScore and its relationship with 30-day mortality in surgical subtypes. METHODS: This retrospective analysis of perioperative data included surgical cases performed between January 1, 2010, and December 31, 2020. The SLUScore is calculated from cumulative time-periods for which the mean arterial pressure is below a range of hypotensive thresholds. After calculating the SLUScore for each surgical procedure, we quantified the prevalence and severity of intraoperative hypotension for each surgical procedure and the association between intraoperative hypotension and 30-day mortality. We used binary logistic regression to quantify the potential contribution of intraoperative hypotension to mortality. RESULTS: We analysed 490 982 cases (57.7% female; mean age 57 yr); 33.2% of cases had a SLUScore>0, a median SLUScore of 13 (inter-quartile range [IQR] 7-21), with 1.19% average mortality. The SLUScore was associated with mortality in 12/14 surgical groups. The increases in the odds ratio for death within 30 days of surgery per SLUScore increment were: all surgery types 3.5% (95% confidence interval [95% CI] 3.2-3.9); abdominal/transplant surgery 6% (95% CI 1.5-10.7); thoracic surgery1.5% (95% CI 1-3.3); vascular surgery 3.01% (95% CI 1.9-4.05); spine/neurosurgery 1.1% (95% CI 0.1-2.1); orthopaedic surgery 1.4% (95% CI 0.7-2.2); gynaecological surgery 6.3% (95% CI 2.5-10.1); genitourinary surgery 4.84% (95% CI 3.5-6.15); gastrointestinal surgery 5.2% (95% CI 3.9-6.4); gastroendoscopy 5.5% (95% CI 4.4-6.7); general surgery 6.3% (95% CI 5.5-7.1); ear, nose, and throat surgery 1.6% (95% CI 0-3.27); and cardiac electrophysiology (including pacemaker procedures) 6.6% (95% CI 1.1-12.4). CONCLUSIONS: The SLUScore was independently, but variably, associated with 30-day mortality after noncardiac surgery.

Development and validation of the Ex-Care BR model: a multicentre initiative for identifying Brazilian surgical patients at risk of 30-day in-hospital mortality.

BACKGROUND: Surgical risk stratification is crucial for enhancing perioperative assistance and allocating resources efficiently. However, existing models may not capture the complexity of surgical care in Brazil. Using data from various healthcare settings nationwide, we developed a new risk model for 30-day in-hospital mortality (the Ex-Care BR model). METHODS: A retrospective cohort study was conducted in 10 hospitals from different geographic regions in Brazil. Data were analysed using multilevel logistic regression models. Model performance was assessed using the area under the receiver operating characteristic curve (AUROC), Brier score, and calibration plots. Derivation and validation cohorts were randomly assigned. RESULTS: A total of 107,372 patients were included, and 30-day in-hospital mortality was 2.1% (n=2261). The final risk model comprised four predictors related to the patient and surgery (age, ASA physical status classification, surgical urgency, and surgical size), and the random effect related to hospitals. The model showed excellent discrimination (AUROC=0.93, 95% confidence interval [CI], 0.93-0.94), calibration, and overall performance (Brier score=0.017) in the derivation cohort (n=75,094). Similar results were observed in the validation cohort (n=32,278) (AUROC=0.93, 95% CI, 0.92-0.93). CONCLUSIONS: The Ex-Care BR is the first model to consider regional and organisational peculiarities of the Brazilian surgical scene, in addition to patient and surgical factors. It is particularly useful for identifying high-risk surgical patients in situations demanding efficient allocation of limited resources. However, a thorough exploration of mortality variations among hospitals is essential for a comprehensive understanding of risk. CLINICAL TRIAL REGISTRATION: NCT05796024.

Addition of High-Sensitivity Troponin to Perioperative Risk Assessment Improves the Predictive Ability of Death in Non-Cardiac Surgery Patients. / Adição da Troponina Ultrassensível à Avaliação de Risco Perioperatório Melhora a Capacidade Preditiva de Morte em Pacientes Submetidos à Cirurgia Não Cardíaca.

BACKGROUND: Risk stratification is an important step in perioperative evaluation. However, the main risk scores do not incorporate biomarkers in their set of variables. OBJECTIVE: Evaluate the incremental power of troponin to the usual risk stratification. METHODS: A total of 2,230 patients admitted to the intensive care unit after non-cardiac surgery were classified according to three types of risk: cardiovascular risk (CVR), Revised Cardiac Risk Index (RCRI); and inherent risk of surgery (IRS). The main outcome was all-cause mortality. Cox regression was used as well as c-statistics before and after addition of high-sensitivity troponin (at least one measurement up to three days after surgery). Finally, net reclassification index and integrated discrimination improvement were used to assess the incremental power of troponin for risk stratification. Significance level was set at 0.05. RESULTS: Mean age of patients was 63.8 years and 55.6% were women. The prevalence of myocardial injury after non-cardiac surgery (MINS) was 9.4%. High CVR-patients had a higher occurrence of MINS (40.1 x 24.8%, p<0.001), as well as high IRS-patients (21.3 x 13.9%, p=0.004) and those with a RCRI≥3 (3.0 x 0.7%, p=0.009). Patients without MINS, regardless of the assessed risk, had similar mortality rate. The addition of troponin to the risk assessment improved the predictive ability of death at 30 days and at 1 year in all risk assessments. CONCLUSION: The prevalence of MINS is higher in the high-risk population. However, its prevalence in lower-risk population is not negligible and causes a higher risk of death. The addition of high-sensitivity troponin increased the predictive ability of risk assessment in all groups.

FUNDAMENTO: A estratificação ode risco é uma importante etapa na avaliação perioperatória. No entanto, os principais escores de risco não incorporam biomarcadores em seus conjuntos de variáveis. OBJETIVO: Avaliar o poder incremental da troponina à estratificação de risco tradicional. MÉTODOS: Um total de 2230 pacientes admitidos na unidade de terapia intensiva após cirurgia não cardíaca foram classificados de acordo com três tipos de risco: Risco Cardiovascular (RCV), Índice de Risco Cardíaco Revisado (IRCR), e Risco Inerente da Cirurgia (RIC). O principal desfecho foi mortalidade por todas as causas. A regressão de Cox foi usada, assim como a estatística C antes e após a adição de troponina ultrassensível (pelo menos uma medida até três dias após a cirurgia). Finalmente, o índice de reclassificação líquida e a melhoria de discriminação integrada foram usadas para avaliar o poder incremental da troponina para a estratificação de risco. O nível de significância usado foi de 0,05. RESULTADOS: A idade média dos pacientes foi 63,8 anos e 55,6% eram do sexo feminino. A prevalência de lesão miocárdica após cirurgia não cardíaca (MINS) foi 9,4%. Pacientes com um RCV elevado apresentaram uma maior ocorrência de MINS (40,1% x 24,8%, p<0,001), bem como pacientes com alto RIC (21,3 x 13,9%, p=0,004) e aqueles com IRCR≥3 (3,0 x 0,7%, p=0,009). Pacientes sem MINS, independentemente do risco avaliado, apresentaram taxa de mortalidade similar. A adição de troponina à avaliação de risco melhorou a capacidade preditiva de mortalidade em 30 dias e de mortalidade em um ano em todas as avaliações de risco. CONCLUSÃO: A prevalência de MINS é mais alta na população de alto risco. No entanto, sua prevalência na população de risco mais baixo não é desprezível e causa um maior risco de morte. A adição da troponina ultrassensível melhorou a capacidade preditiva da avaliação de risco em todos os grupos.

Mortality and cardiac arrest rates of emergency surgery in developed and developing countries: a systematic review and meta-analysis.

BACKGROUND: The magnitude of the risk of death and cardiac arrest associated with emergency surgery and anesthesia is not well understood. Our aim was to assess whether the risk of perioperative and anesthesia-related death and cardiac arrest has decreased over the years, and whether the rates of decrease are consistent between developed and developing countries. METHODS: A systematic review was performed using electronic databases to identify studies in which patients underwent emergency surgery with rates of perioperative mortality, 30-day postoperative mortality, or perioperative cardiac arrest. Meta-regression and proportional meta-analysis with 95% confidence intervals (CIs) were performed to evaluate global data on the above three indicators over time and according to country Human Development Index (HDI), and to compare these results according to country HDI status (low vs. high HDI) and time period (pre-2000s vs. post-2000s). RESULTS: 35 studies met the inclusion criteria, representing more than 3.09 million anesthetic administrations to patients undergoing anesthesia for emergency surgery. Meta-regression showed a significant association between the risk of perioperative mortality and time (slope: -0.0421, 95%CI: from - 0.0685 to -0.0157; P = 0.0018). Perioperative mortality decreased over time from 227 per 10,000 (95% CI 134-380) before the 2000s to 46 (16-132) in the 2000-2020 s (p < 0-0001), but not with increasing HDI. 30-day postoperative mortality did not change significantly (346 [95% CI: 303-395] before the 2000s to 292 [95% CI: 201-423] in the 2000s-2020 period, P = 0.36) and did not decrease with increasing HDI status. Perioperative cardiac arrest rates decreased over time, from 113 per 10,000 (95% CI: 31-409) before the 2000s to 31 (14-70) in the 2000-2020 s, and also with increasing HDI (68 [95% CI: 29-160] in the low-HDI group to 21 [95% CI: 6-76] in the high-HDI group, P = 0.012). CONCLUSIONS: Despite increasing baseline patient risk, perioperative mortality has decreased significantly over the past decades, but 30-day postoperative mortality has not. A global priority should be to increase long-term survival in both developed and developing countries and to reduce overall perioperative cardiac arrest through evidence-based best practice in developing countries.

Immediate Operative Trauma Assessment Score: A Simple and Reliable Predictor of Mortality in Trauma Patients Undergoing Urgent/Emergent Surgery.

Objective: Many current trauma mortality prediction tools are either too intricate or rely on data not readily available during a trauma patient's initial evaluation. Moreover, none are tailored to those necessitating urgent or emergent surgery. Our objective was to design a practical, user-friendly scoring tool using immediately available variables, and then compare its efficacy to the widely-known Revised Trauma Score (RTS). Methods: The adult 2017-2021 Trauma Quality Improvement Program (TQIP) database was queried to identify patients ≥18 years old undergoing any urgent/emergent operation (direct from Emergency Department to operating room). Patients were divided into derivation and validation groups. A three-step methodology was used. First, multiple logistic regression models were created to determine risk of death using only variables available upon arrival. Second, the weighted average and relative impact of each independent predictor was used to derive an easily calculated Immediate Operative Trauma Assessment Score (IOTAS). We then validated IOTAS using AUROC and compared it to RTS. Results: From 249 208 patients in the derivation-set, 14 635 (5.9%) died. Age ≥65, Glasgow Coma Scale score <9, hypotension (SBP <90 mmHg), and tachycardia (>120/min) on arrival were identified as independent predictors for mortality. Using these, the IOTAS was structured, offering scores between 0-8. The AUROC for this was .88. A clear escalation in mortality was observed across scores: from 4.4% at score 1 to 60.5% at score 8. For the validation set (250 182 patients; mortality rate 5.8%), the AUROC remained consistent at .87, surpassing RTS's AUROC of .83. Conclusion: IOTAS is a novel, accurate, and now validated tool that is intuitive and efficient in predicting mortality for trauma patients requiring urgent or emergent surgeries. It outperforms RTS, and thereby may help guide clinicians when determining the best course of action in patient management as well as counseling patients and their families.