Racial Disparities in Pediatric Mortality Following Transfusion Within 72 Hours of Operation.

BACKGROUND: Postoperative bleeding and transfusion are correlated with mortality risk. Furthermore, postoperative bleeding may often initiate the cascade of complications that leads to death. Given that minority children have increased risk of surgical complications, this study aimed to investigate the association of race with pediatric surgical mortality following postoperative transfusion. METHODS: We used the NSQIP-P PUF to assemble a retrospective cohort of children <18 who underwent inpatient surgery during 2012-2021. We included White, Black, Hispanic, and 'Other' children who received a transfusion within 72 h of surgery. The primary outcome was defined as all-cause mortality within 30 days following the primary surgical procedure. Using logistic regression models, we estimated the risk-adjusted odds ratio (aOR) and 95% confidence intervals (CI) of mortality, comparing each racial/ethnic cohort to White children. RESULTS: A total of 466,230 children <18 years of age underwent inpatient surgical procedures from 2012 to 2021. Of these, 46,200 required transfusion and were included in our analysis. The majority of patients were non-Hispanic White (64.6%, n = 29,850), while 18.9% (n = 8752) were non-Hispanic Black, 11.7% (n = 5387) were Hispanic, and 4.8% (n = 2211) were 'Other' race. The overall rate of mortality following transfusion was 2.5%. White children had the lowest incidence of mortality (2.0%), compared to children of 'Other' race (2.5%), Hispanic children (3.1%), and Black children (3.6%). After adjusting for sex, age, comorbidities, case status, preoperative transfusion within 48 h, and year of operation, we found that Black children experienced 1.24 times the odds of mortality following a postoperative transfusion compared to a White child (aOR: 1.24; 95%CI, 1.03-1.51; P = 0.025). Hispanic children were also significantly more likely to die following a postoperative transfusion than White children (aOR: 1.19; 95%CI, 1.02-1.39; P = 0.027). CONCLUSION: We found that minority children who required a postoperative transfusion had a higher odds of death than White children. Future studies should explore adverse events following postoperative transfusion and the differences in their management by race that may contribute to the higher mortality rate for minority children. LEVEL OF EVIDENCE: Level II. CLINICAL TRIAL NUMBER AND REGISTRY: Not applicable.

Racial Disparities in General Surgery Outcomes.

INTRODUCTION: While disparities in Black and Hispanic and Latino patients undergoing general surgeries are well described, most analyses leave out Asian, American Indian or Alaskan Native (AIAN), and native Hawaiian or Pacific Islander patients. This study identified general surgery outcomes for each racial group in the National Surgical Quality Improvement Program. METHODS: National Surgical Quality Improvement Program was queried to identify all procedures conducted by a general surgeon from 2017 to 2020 (n = 2,664,197). Multivariable regression models were used to investigate the impact of race and ethnicity on 30-day mortality, readmission, reoperation, major and minor medical complications, and non-home discharge destinations. Adjusted odds ratios (AOR) and 95% confidence intervals were calculated. RESULTS: Compared to non-Hispanic White patients, Black patients had higher odds of readmission and reoperation, and Hispanic and Latino patients had higher odds of major and minor complications. AIAN patients had higher odds of mortality (AOR: 1.003 (1.002-1.005), P < 0.001), major complication (AOR: 1.013 (1.006-1.020), P < 0.001), reoperation (AOR: 1.009, (1.005-1.013), P < 0.001), and non-home discharge destination (AOR: 1.006 (1.001-1.012), P = 0.025), while native Hawaiian or Pacific Islander patients had lower odds of readmission (AOR: 0.991 (0.983-0.999), P = 0.035) and non-home discharge destination (AOR: 0.983 (0.975-0.990), P < 0.001) compared to non-Hispanic White patients. Asian patients had lower odds of each adverse outcome. CONCLUSIONS: Black, Hispanic and Latino, and AIAN patients are at higher odds for poor postoperative results than non-Hispanic White patients. AIANs had some of the highest odds of mortality, major complications, reoperation, and non-home discharge. Social health determinants and policy adjustments must be targeted to ensure optimal operative results for all patients.

Association of Preoperative Neutrophil-to-Lymphocyte Ratio with Postoperative Acute Kidney Injury and Mortality Following Major Noncardiac Surgeries.

BACKGROUND: Acute kidney injury (AKI) is a major complication that occurs following an operation. Therefore, there is an increasing need to discover new predictors of AKI. We hypothesized that the preoperative neutrophil-to-lymphocyte ratio (NLR) was associated with postoperative AKI and in-hospital mortality following noncardiac surgery. METHODS: This is a retrospective observational study of patients who underwent noncardiac surgery at Sichuan University West China Hospital from 2018 to 2020. Multivariable logistic regression was performed as the major analytic method. In addition, sensitivity and subgroup analyses were performed to validate the results. RESULTS: A total of 44,065 patients were included in this study. The prevalence of postoperative AKI was 5.62%, and the in-hospital mortality was 1.58%. Multivariable analysis demonstrated that NLR ≥ 5 was independently associated with the development of postoperative AKI (OR 1.42, 1.24-1.73; P < 0.001) and in-hospital mortality (OR 2.03, 1.63-2.52; P < 0.001). Similar results were achieved when propensity-score matching was performed for patients with NLR ≥ 5 and < 5 on the baseline. In stratified analysis, the associations remained persistent in most subgroups. For the sensitivity analysis, we took NLR as a continuous variable and demonstrated the potential linear relationship between NLR and postoperative AKI and mortality. CONCLUSIONS: Our results indicated that preoperative NLR is associated with the prevalence of postoperative AKI and in-hospital mortality that occur after major noncardiac surgery. These findings suggest that NLR has the potential to be a significant correlation biomarker associated with perioperative risk assessment of patients undergoing noncardiac surgeries.

Riesgo quirúrgico tras resección pulmonar anatómica en cirugía torácica. Modelo predictivo a partir de una base de datos nacional multicéntrica / Surgical Risk Following Anatomic Lung Resection in Thoracic Surgery: A Prediction Model Derived from a Spanish Multicenter Database

Introducción: El objetivo es obtener un modelo predictor de riesgo quirúrgico en pacientes sometidos a resecciones pulmonares anatómicas a partir del registro del Grupo Español de Cirugía Torácica Videoasistida. Métodos: Se recogen datos de 3.533 pacientes sometidos a resección pulmonar anatómica por cualquier diagnóstico entre el 20 de diciembre de 2016 y el 20 de marzo de 2018.Definimos una variable resultado combinada: mortalidad o complicación Clavien Dindo IV a 90 días tras intervención quirúrgica. Se realizó análisis univariable y multivariable por regresión logística. La validación interna del modelo se llevó a cabo por técnicas de remuestreo. Resultados: La incidencia de la variable resultado fue del 4,29% (IC 95%: 3,6-4,9). Las variables que permanecen en el modelo logístico final fueron: edad, sexo, resección pulmonar oncológica previa, disnea (mMRC), neumonectomía derecha y DLCOppo. Los parámetros de rendimiento del modelo, ajustados por remuestreo, fueron: C-statistic 0,712 (IC 95%: 0,648-0,750), Brier score 0,042 y Booststrap shrinkage 0,854. Conclusiones: El modelo predictivo de riesgo obtenido a partir de la base de datos Grupo Español de Cirugía Torácica Videoasistida es un modelo sencillo, válido y fiable, y constituye una herramienta muy útil a la hora de establecer el riesgo de un paciente que se va a someter a una resección pulmonar anatómica. (AU)

Introduction: The aim of this study was to develop a surgical risk prediction model in patients undergoing anatomic lung resections from the registry of the Spanish Video-Assisted Thoracic Surgery Group (GEVATS). Methods: Data were collected from 3,533 patients undergoing anatomic lung resection for any diagnosis between December 20, 2016 and March 20, 2018.We defined a combined outcome variable: death or Clavien Dindo grade IV complication at 90 day.s after surgery. Univariate and multivariate analyses were performed by logistic regression. Internal validation of the model was performed using resampling techniques. Results: The incidence of the outcome variable was 4.29% (95% CI 3.6-4.9). The variables remaining in the final logistic model were: age, sex, previous lung cancer resection, dyspnea (mMRC), right pneumonectomy, and ppo DLCO. The performance parameters of the model adjusted by resampling were: C-statistic 0.712 (95% CI 0.648-0.750), Brier score 0.042 and bootstrap shrinkage 0.854. Conclusions: The risk prediction model obtained from the GEVATS database is a simple, valid, and reliable model that is a useful tool for establishing the risk of a patient undergoing anatomic lung resection. (AU)

[Translated article] Surgical Risk Following Anatomic Lung Resection in Thoracic Surgery: A Prediction Model Derived From a Spanish Multicenter Database / Riesgo quirúrgico tras resección pulmonar anatómica en cirugía torácica. Modelo predictivo a partir de una base de datos nacional multicéntrica

Introduction: The aim of this study was to develop a surgical risk prediction model in patients undergoing anatomic lung resections from the registry of the Spanish Video-Assisted Thoracic Surgery Group (GEVATS). Methods: Data were collected from 3,533 patients undergoing anatomic lung resection for any diagnosis between December 20, 2016 and March 20, 2018.We defined a combined outcome variable: death or Clavien Dindo grade IV complication at 90 day.s after surgery. Univariate and multivariate analyses were performed by logistic regression. Internal validation of the model was performed using resampling techniques. Results: The incidence of the outcome variable was 4.29% (95% CI 3.6-4.9). The variables remaining in the final logistic model were: age, sex, previous lung cancer resection, dyspnea (mMRC), right pneumonectomy, and ppo DLCO. The performance parameters of the model adjusted by resampling were: C-statistic 0.712 (95% CI 0.648-0.750), Brier score 0.042 and bootstrap shrinkage 0.854. Conclusions: The risk prediction model obtained from the GEVATS database is a simple, valid, and reliable model that is a useful tool for establishing the risk of a patient undergoing anatomic lung resection. (AU)

Introducción: El objetivo es obtener un modelo predictor de riesgo quirúrgico en pacientes sometidos a resecciones pulmonares anatómicas a partir del registro del Grupo Español de Cirugía Torácica Videoasistida. Métodos: Se recogen datos de 3.533 pacientes sometidos a resección pulmonar anatómica por cualquier diagnóstico entre el 20 de diciembre de 2016 y el 20 de marzo de 2018.Definimos una variable resultado combinada: mortalidad o complicación Clavien Dindo IV a 90 días tras intervención quirúrgica. Se realizó análisis univariable y multivariable por regresión logística. La validación interna del modelo se llevó a cabo por técnicas de remuestreo. Resultados: La incidencia de la variable resultado fue del 4,29% (IC 95%: 3,6-4,9). Las variables que permanecen en el modelo logístico final fueron: edad, sexo, resección pulmonar oncológica previa, disnea (mMRC), neumonectomía derecha y DLCOppo. Los parámetros de rendimiento del modelo, ajustados por remuestreo, fueron: C-statistic 0,712 (IC 95%: 0,648-0,750), Brier score 0,042 y Booststrap shrinkage 0,854. Conclusiones: El modelo predictivo de riesgo obtenido a partir de la base de datos Grupo Español de Cirugía Torácica Videoasistida es un modelo sencillo, válido y fiable, y constituye una herramienta muy útil a la hora de establecer el riesgo de un paciente que se va a someter a una resección pulmonar anatómica. (AU)

Impact of Intraoperative Data on Risk Prediction for Mortality After Intra-Abdominal Surgery.

BACKGROUND: Risk prediction models for postoperative mortality after intra-abdominal surgery have typically been developed using preoperative variables. It is unclear if intraoperative data add significant value to these risk prediction models. METHODS: With IRB approval, an institutional retrospective cohort of intra-abdominal surgery patients in the 2005 to 2015 American College of Surgeons National Surgical Quality Improvement Program was identified. Intraoperative data were obtained from the electronic health record. The primary outcome was 30-day mortality. We evaluated the performance of machine learning algorithms to predict 30-day mortality using: 1) baseline variables and 2) baseline + intraoperative variables. Algorithms evaluated were: 1) logistic regression with elastic net selection, 2) random forest (RF), 3) gradient boosting machine (GBM), 4) support vector machine (SVM), and 5) convolutional neural networks (CNNs). Model performance was evaluated using the area under the receiver operator characteristic curve (AUROC). The sample was randomly divided into a training/testing split with 80%/20% probabilities. Repeated 10-fold cross-validation identified the optimal model hyperparameters in the training dataset for each model, which were then applied to the entire training dataset to train the model. Trained models were applied to the test cohort to evaluate model performance. Statistical significance was evaluated using P < .05. RESULTS: The training and testing cohorts contained 4322 and 1079 patients, respectively, with 62 (1.4%) and 15 (1.4%) experiencing 30-day mortality, respectively. When using only baseline variables to predict mortality, all algorithms except SVM (area under the receiver operator characteristic curve [AUROC], 0.83 [95% confidence interval {CI}, 0.69-0.97]) had AUROC >0.9: GBM (AUROC, 0.96 [0.94-1.0]), RF (AUROC, 0.96 [0.92-1.0]), CNN (AUROC, 0.96 [0.92-0.99]), and logistic regression (AUROC, 0.95 [0.91-0.99]). AUROC significantly increased with intraoperative variables with CNN (AUROC, 0.97 [0.96-0.99]; P = .047 versus baseline), but there was no improvement with GBM (AUROC, 0.97 [0.95-0.99]; P = .3 versus baseline), RF (AUROC, 0.96 [0.93-1.0]; P = .5 versus baseline), and logistic regression (AUROC, 0.94 [0.90-0.99]; P = .6 versus baseline). CONCLUSIONS: Postoperative mortality is predicted with excellent discrimination in intra-abdominal surgery patients using only preoperative variables in various machine learning algorithms. The addition of intraoperative data to preoperative data also resulted in models with excellent discrimination, but model performance did not improve.

Death after surgery among patients with chronic disease: prospective study of routinely collected data in the English NHS.

BACKGROUND: Five million surgeries take place in the NHS each year. Little is known about the prevalence of chronic diseases among these patients, and the association with postoperative outcomes. METHODS: Analysis of routine data from all NHS hospitals in England including patients aged ≥18 yr undergoing non-obstetric surgery between January 1, 2010 and December 31, 2015. The primary outcome was death within 90 days after surgery. For each chronic disease, we adjusted for age, sex, presence of other diseases, emergency surgery, and year using logistic regression models. We defined high-risk diseases as those with an adjusted odds ratio (OR) for death ≥2 and report associated 2-yr survival. RESULTS: We included 8 624 611 patients (median age, 53 [36-68] yr), of whom 6 913 451 (80.2%) underwent elective surgery and 1 711 160 (19.8%) emergency surgery. Overall, 2 311 600 (26.8%) patients had a chronic disease, of whom 109 686 (4.7%) died within 90 days compared with 24 136 (0.4%) of 6 313 011 without chronic disease. Respiratory disease (1 002 281 [11.6%]), diabetes mellitus (662 706 [7.7%]), and cancer (310 363; 3.6%) were the most common. Four chronic diseases accounted for 7.7% of patients but 59.0% of deaths: cancer (37 693 deaths [12.1%]; OR=8.3 [8.2-8.5]), liver disease (8638 deaths [10.3%]; OR=4.5 [4.4-4.7]), cardiac failure (26 604 deaths [12.6%]; OR=2.4 [2.4-2.5]), and dementia (19 912 deaths [17.9%]; OR=2.0 [1.9-2.0]). Two-year survival was 67.7% among patients with high-risk chronic disease, compared with 97.1% without. CONCLUSION: One in four surgical patients has a chronic disease with an associated 10-fold increase in risk of postoperative death. Two-thirds of all deaths after surgery occur among patients with high-risk diseases (cancer, cardiac failure, liver disease, dementia).

Postoperative Mortality in Patients With Cirrhosis: Reconsidering Expectations.

BACKGROUND: A diagnosis of cirrhosis increases a patient's risk of postoperative mortality. Surgeons are reticent to operate when cirrhosis is known unless no option is available. This study aimed to identify the modern perioperative risk in cirrhotic patients undergoing intervention under general anesthesia for non-transplant operations. METHODS: A retrospective chart review was conducted utilizing the Rush Medical Center electronic medical record. All patients over 18 years of age with a diagnosis of cirrhosis undergoing intervention between 2009 and 2019 were reviewed. 90-day mortality rates in patients grouped by Child's score, Model for End-Stage Liver Disease (MELD), and Model for End-Stage Liver Disease with sodium incorporated (MELDNa) were compared to previously accepted rates. RESULTS: 93 patients (46% women) aged 22-72 years of all Child-Turcot-Pugh (CTP) (40% A, 36% B, and 25% C) classifications and MELD/MELDNa ranging 6-40 were analyzed. 90-day mortality of the entire population was 16%, significantly lower than expected based on CTP score (16% vs. 32%; P = .0005), MELD (16% vs. 41%; P < .0001), and MELDNa (16% vs. 46.8%; P < .0001). This was also true for CTP-B patients (12% vs. 30%; P = .025), CTP-C patients (35% vs. 70%; P = .0002), patients with MELD >14 (27% vs. 70%; P < .001), and patients with MELDNa >14 (23% vs. 70%; P < .0001). CONCLUSION: Data indicate that perioperative mortality is lower than widely accepted. This suggests the need for a national database study using a representative population to determine the risk of mortality for patients with cirrhosis having surgery in recent times. Accurate estimation of this risk allows for meaningful discussion between physicians and patients when deciding to proceed with elective, necessary operations.

Effects of structured intraoperative briefings on patient outcomes: multicentre before-and-after study.

BACKGROUND: Operations require collaboration between surgeons, anaesthetia professionals, and nurses. The aim of this study was to determine whether intraoperative briefings influence patient outcomes. METHODS: In a before-and-after controlled trial (9 months baseline; 9 months intervention), intraoperative briefings were introduced in four general surgery centres between 2015 and 2018. During the operation, the responsible surgeon (most senior surgeon present) briefed the surgical team using the StOP? protocol about: progress of the operation (Status), next steps (Objectives), possible problems (Problems), and encouraged asking questions (?). Differences between baseline and intervention were analysed regarding surgical-site infections (primary outcome), mortality, unplanned reoperations, and duration of hospital stay (secondary outcomes), using inverse probability of treatment (IPT) weighting based on propensity scores. RESULTS: In total, 8256 patients underwent surgery in the study. Endpoint data were available for 7745 patients (93.8 per cent). IPT-weighted and adjusted intention-to-treat analyses showed no differences in surgical-site infections between baseline and intervention (9.8 versus 9.6 per cent respectively; adjusted difference (AD) -0.15 (95 per cent c.i. -1.45 to 1.14) per cent; odds ratio (OR) 0.92, 95 per cent c.i. 0.83 to 1.15; P = 0.797), but there were reductions in mortality (1.6 versus 1.1 per cent; AD -0.54 (-1.04 to -0.03) per cent; OR 0.60, 0.39 to 0.92; P = 0.018), unplanned reoperations (6.4 versus 4.8 per cent; AD -1.66 (-2.69 to -0.62) per cent; OR 0.72, 0.59 to 0.89; P = 0.002), and fewer prolonged hospital stays (21.6 versus 19.8 per cent; AD -1.82 (-3.48 to -0.15) per cent; OR 0.87, 0.77 to 0.98; P = 0.024). CONCLUSION: Short intraoperative briefings improve patient outcomes and should be performed routinely.

Outcomes of surgery depend on patient characteristics and surgeon expertise, but also on teamwork, notably communication. The present study introduces the StOP? protocol, in which the surgeon informs the team about the current status (St), objectives regarding next steps (O), and potential problems (P), and encourages the team to ask questions and raise concerns (?). The results suggest an effect of the StOP? intervention on patient mortality, risk of unplanned reoperation, and duration of hospital stay, but not on surgical-site infections. The study is promising regarding the effect of structured intraoperative communication on important patient outcomes. The study compared patient outcomes at baseline and after implementation of the StOP? protocol, which enhances exchange of structured information within the interdisciplinary surgical team during the course of the operation. The intention-to-treat analyses in this multicentre before-and-after study of 8256 patients undergoing general surgery showed no differences between baseline and intervention for surgical-site infections, but revealed reduced mortality and unplanned reoperations, and fewer prolonged hospital stays during the intervention period.

Towards the quantification of perioperative cardiovascular risk in the African context: A sub-analysis of the South African Surgical Outcomes Study and the African Surgical Outcomes Study.

BACKGROUND: The burden of cardiovascular disease in patients requiring non-cardiac surgery in Africa is not known. These patients are at increased risk for postoperative cardiovascular complications. OBJECTIVES: In this sub-study, to use data on comorbidities and surgical outcomes from two large observational studies, the South African Surgical Outcomes Study (SASOS) and the African Surgical Outcomes Study (ASOS), to investigate the prevalence of cardiovascular disease in elective surgical patients and the risk of postoperative cardiovascular complications in this population. METHODS: SASOS and ASOS were both prospective, observational cohort studies that collected data over 1 week in each participating centre. The primary outcome was in-hospital postoperative complications, which included prespecified and defined cardiovascular complications. We defined the cardiovascular disease burden of patients aged ≥45 years presenting for surgery (main objective), determined the relative risk of developing postoperative cardiovascular complications (secondary objective) and assessed the utility of the Revised Cardiac Risk Index (RCRI) for preoperative cardiovascular risk stratification of elective, non-cardiac surgical patients in Africa (third objective). RESULTS: The primary outcome analysis of 3 045 patients showed that patients with major cardiac complications were significantly older, with a higher prevalence of hypertension, coronary artery disease or congestive cardiac failure, and had undergone major surgery. In-hospital mortality for the cohort was 1.2%. CONCLUSIONS: The substantial burden of cardiovascular disease in patients presenting for non-cardiac surgery in Africa is shown in the principal findings of this study. The RCRI has moderate discrimination for major cardiac complications and major adverse cardiac events in African patients undergoing non-cardiac surgery.

Association of Historic Housing Policy, Modern Day Neighborhood Deprivation and Outcomes After Inpatient Hospitalization.

OBJECTIVE: To evaluate the association of historical racist housing policies and modern-day healthcare outcomes. SUMMARY OF BACKGROUND DATA: In 1933 the United States Government Home Owners Loan Corporation (HOLC) used racial composition of neighborhoods to determine creditworthiness and labeled them "Best", "Still Desirable", "Definitely Declining", and "Hazardous." Although efforts have been made to reverse these racist policies that structurally disadvantage those living in exposed neighborhoods, the lasting legacy on modern day healthcare outcomes is uncertain. METHODS: We performed a cross-sectional retrospective review of 212,179 Medicare beneficiaries' living in 171,930 unique neighborhoods historically labeled by the HOLC who underwent 1 of 5 of common surgical procedures - coronary artery bypass, appendectomy, colectomy, cholecystectomy, and hernia repair - between 2012 and 2018. We compared 30-day mortality, complications, and readmissions across HOLC grade and Area Deprivation Index (ADI) of each neighborhood. Outcomes were risk-adjusted using a multivariable logistical regression model accounting for patient factors (age, sex, Elixhauser comorbidities), admission type (elective, urgent, emergency), type of operation, and each neighborhoods ADI; a modern day measure of neighborhood disadvantage that includes education, employment, housing-quality, and poverty measures. RESULTS: Overall, 212,179 Medicare beneficiaries (mean age, 71.2 years; 54.2% women) resided in 171,930 unique neighborhoods historically graded by the HOLC. Outcomes worsened in a stepwise fashion across HOLC neighborhoods. Overall, 30-day postoperative mortality was 5.4% in "Best" neighborhoods, 5.8% in "Still Desirable", 6.1% in "Definitely Declining", and 6.4% in "Hazardous" (Best vs Hazardous Odds Ration: 1.23, 95% CI: 1.13-1.24, P < 0.001). The same stepwise pattern was seen from "Best" to "Hazardous" neighborhoods for complications (30.5% vs 32.2%; OR: 1.12 [95% CI: 1.07-1.17]; P < 0.001) and Readmissions (16.3% vs 17.1%; OR: 1.06 [95% CI: 1.01-1.11]; P = 0.023). After controlling for modern day deprivation using ADI, the patterns persisted with "Hazardous" neighborhoods having higher mortality (OR: 1.17 [95% CI: 1.08-1.27]; P < 0.001) and complications (OR: 1.07 [95% CI: 1.02-1.12]; P = 0.003), but not for readmissions (OR: 1.02 [95% CI: 0.97-1.07]; P = 0.546). CONCLUSIONS: Patients residing in neighborhoods previously "redlined" or labeled "Hazardous" were more likely to experience worse outcomes after inpatient hospitalization compared to those living in "Best" neighborhoods, even after taking into account modern day measures of neighborhood disadvantage.

Trimetazidine offers myocardial protection in elderly coronary artery disease patients undergoing non-cardiac surgery: a randomized, double-blind, placebo-controlled trial.

BACKGROUND: Trimetazidine (TMZ) pretreatment protects cardiomyocytes during cardiac surgery. TMZ may protect elderly patients with ischaemic heart disease (IHD) undergoing non-cardiac surgery. METHODS: This was a randomized, double-blind, placebo-controlled trial (registration #ChiCTR1900025018) of patients with IHD scheduled to undergo non-cardiac surgery at Shenzhen People's Hospital (Shenzhen, Guangdong Province, China) between June 2014 and September 2015, randomized to 60 mg TMZ or placebo 12 h before surgery. The primary endpoint was the occurrence of in-hospital cardiovascular events. The secondary endpoints were myocardial ischaemia on five-lead electrocardiogram (cECG), cardiac troponin I (cTnI) elevation, cardiac death, acute coronary events, heart failure, and arrhythmia requiring treatments. RESULTS: Compared with the placebo group, the TMZ group showed a lower occurrence of in-hospital cardiovascular events (primary endpoint, 20.0% vs. 37.5%, P = 0.02), myocardial ischaemia (15.0% vs. 32.5%, P < 0.01), cTnI elevation (2.5% vs. 10%, P < 0.01), acute coronary events (10.0% vs. 20.0%, P < 0.05), heart failure (0% vs. 2.5%, P < 0.05), and arrhythmia requiring treatment (17.5% vs. 35.0%, P < 0.05). There was no acute myocardial infarction during the 30-day postoperative period. CONCLUSIONS: In elderly patients with IHD undergoing non-cardiac surgery, TMZ pretreatment was associated with myocardial protective effects. Trial registration The trial was prospectively registered at http://www.chictr.org.cn/showproj.aspx?proj=41909 with registration number [ChiCTR1900025018] (7/8/2019).

Post-discharge after surgery Virtual Care with Remote Automated Monitoring-1 (PVC-RAM-1) technology versus standard care: randomised controlled trial.

OBJECTIVE: To determine if virtual care with remote automated monitoring (RAM) technology versus standard care increases days alive at home among adults discharged after non-elective surgery during the covid-19 pandemic. DESIGN: Multicentre randomised controlled trial. SETTING: 8 acute care hospitals in Canada. PARTICIPANTS: 905 adults (≥40 years) who resided in areas with mobile phone coverage and were to be discharged from hospital after non-elective surgery were randomised either to virtual care and RAM (n=451) or to standard care (n=454). 903 participants (99.8%) completed the 31 day follow-up. INTERVENTION: Participants in the experimental group received a tablet computer and RAM technology that measured blood pressure, heart rate, respiratory rate, oxygen saturation, temperature, and body weight. For 30 days the participants took daily biophysical measurements and photographs of their wound and interacted with nurses virtually. Participants in the standard care group received post-hospital discharge management according to the centre's usual care. Patients, healthcare providers, and data collectors were aware of patients' group allocations. Outcome adjudicators were blinded to group allocation. MAIN OUTCOME MEASURES: The primary outcome was days alive at home during 31 days of follow-up. The 12 secondary outcomes included acute hospital care, detection and correction of drug errors, and pain at 7, 15, and 30 days after randomisation. RESULTS: All 905 participants (mean age 63.1 years) were analysed in the groups to which they were randomised. Days alive at home during 31 days of follow-up were 29.7 in the virtual care group and 29.5 in the standard care group: relative risk 1.01 (95% confidence interval 0.99 to 1.02); absolute difference 0.2% (95% confidence interval -0.5% to 0.9%). 99 participants (22.0%) in the virtual care group and 124 (27.3%) in the standard care group required acute hospital care: relative risk 0.80 (0.64 to 1.01); absolute difference 5.3% (-0.3% to 10.9%). More participants in the virtual care group than standard care group had a drug error detected (134 (29.7%) v 25 (5.5%); absolute difference 24.2%, 19.5% to 28.9%) and a drug error corrected (absolute difference 24.4%, 19.9% to 28.9%). Fewer participants in the virtual care group than standard care group reported pain at 7, 15, and 30 days after randomisation: absolute differences 13.9% (7.4% to 20.4%), 11.9% (5.1% to 18.7%), and 9.6% (2.9% to 16.3%), respectively. Beneficial effects proved substantially larger in centres with a higher rate of care escalation. CONCLUSION: Virtual care with RAM shows promise in improving outcomes important to patients and to optimal health system function. TRIAL REGISTRATION: ClinicalTrials.gov NCT04344665.

Hospital Volumes of Inpatient Pediatric Surgery in the United States.

BACKGROUND: Perioperative outcomes of children depend on the skill and expertise in managing pediatric patients, as well as integration of surgical, anesthesiology, and medical teams. We compared the types of pediatric patients and inpatient surgical procedures performed in low- versus higher-volume hospitals throughout the United States. METHODS: Retrospective analysis of 323,258 hospitalizations with an operation for children age 0 to 17 years in 2857 hospitals included in the Agency for Healthcare Research and Quality (AHRQ) Kids' Inpatient Database (KID) 2016. Hospitals were categorized by their volume of annual inpatient surgical procedures. Specific surgeries were distinguished with the AHRQ Clinical Classification System. We assessed complex chronic conditions (CCCs) using Feudtner and Colleagues' system. RESULTS: The median annual volume of pediatric inpatient surgeries across US hospitals was 8 (interquartile range [IQR], 3-29). The median volume of inpatient surgeries for children with a CCC was 4 (IQR, 1-13). Low-volume hospitals performed significantly fewer types of surgeries (median 2 vs 131 types of surgeries in hospitals with 1-24 vs ≥2000 volumes). Appendectomy and fixation of bone fracture were among the most common surgeries in low-volume hospitals. As the volume of surgical procedures increased from 1 to 24 to ≥2000, the percentage of older children ages 11 to 17 years decreased (70.9%-32.0% [P < .001]) and the percentage of children with a CCC increased (11.2%-60.0% [P < .001]). CONCLUSIONS: Thousands of US hospitals performed inpatient surgeries on few pediatric patients, including those with CCCs who have the highest risk of perioperative morbidity and mortality. Evaluation of perioperative decision making, workflows, and pediatric clinicians in low- and higher-volume hospitals is warranted.

Disparities in post-operative mortality between Maori and non-Indigenous ethnic groups in New Zealand.

AIM: To describe disparities in post-operative mortality experienced by Indigenous Maori compared to non-Indigenous New Zealanders. METHODS: We completed a national study of all those undergoing a surgical procedure between 2005 and 2017 in New Zealand. We examined 30-day and 90-day post-operative mortality for all surgical specialties and by common procedures. We compared age-standardised rates between ethnic groups (Maori, Pacific, Asian, European, MELAA/Other) and calculated hazard ratios (HRs) using Cox proportional hazards regression modelling adjusted for age, sex, deprivation, rurality, comorbidity, ASA score, anaesthetic type, procedure risk and procedure specialty. RESULTS: From nearly 3.9 million surgical procedures (876,976 acute, 2,990,726 elective/waiting list), we observed ethnic disparities in post-operative mortality across procedures, with the largest disparities occurring between Maori and Europeans. Maori had higher rates of 30- and 90-day post-operative mortality across most broad procedure categories, with the disparity between Maori and Europeans strongest for elective/waiting list procedures (eg, elective/waiting list musculoskeletal procedures, 30-day mortality: adj. HR 1.93, 95% CI 1.56-2.39). CONCLUSIONS: The disparities we observed are likely driven by a combination of healthcare system, process and clinical team factors, and we have presented the key mechanisms within these factors.

Analysis of outcomes of emergency general and gastrointestinal surgery during the COVID-19 pandemic.

BACKGROUND: Few surgical studies have provided adjusted comparative postoperative outcome data among contemporary patients with and without COVID-19 infection and patients treated before the pandemic. The aim of this study was to determine the impact of performing emergency surgery in patients with concomitant COVID-19 infection. METHODS: Patients who underwent emergency general and gastrointestinal surgery from March to June 2020, and from March to June 2019 in 25 Spanish hospitals were included in a retrospective study (COVID-CIR). The main outcome was 30-day mortality. Secondary outcomes included postoperative complications and failure to rescue (mortality among patients who developed complications). Propensity score-matched comparisons were performed between patients who were positive and those who were negative for COVID-19; and between COVID-19-negative cohorts before and during the pandemic. RESULTS: Some 5307 patients were included in the study (183 COVID-19-positive and 2132 COVID-19-negative during pandemic; 2992 treated before pandemic). During the pandemic, patients with COVID-19 infection had greater 30-day mortality than those without (12.6 versus 4.6 per cent), but this difference was not statistically significant after propensity score matching (odds ratio (OR) 1.58, 95 per cent c.i. 0.88 to 2.74). Those positive for COVID-19 had more complications (41.5 versus 23.9 per cent; OR 1.61, 1.11 to 2.33) and a higher likelihood of failure to rescue (30.3 versus 19.3 per cent; OR 1.10, 0.57 to 2.12). Patients who were negative for COVID-19 during the pandemic had similar rates of 30-day mortality (4.6 versus 3.2 per cent; OR 1.35, 0.98 to 1.86) and complications (23.9 versus 25.2 per cent; OR 0.89, 0.77 to 1.02), but a greater likelihood of failure to rescue (19.3 versus 12.9 per cent; OR 1.56, 95 per cent 1.10 to 2.19) than prepandemic controls. CONCLUSION: Patients with COVID-19 infection undergoing emergency general and gastrointestinal surgery had worse postoperative outcomes than contemporary patients without COVID-19. COVID-19-negative patients operated on during the COVID-19 pandemic had a likelihood of greater failure-to-rescue than prepandemic controls.