Whole Blood and Blood Component Resuscitation in Trauma: Interaction and Association with Mortality.

OBJECTIVE: Evaluate the interaction between whole blood (WB) and blood component resuscitation in relation to mortality following trauma. SUMMARY BACKGROUND DATA: WB is increasingly available in civilian trauma resuscitation, and it is typically transfused concomitantly with blood components. The interaction between WB and blood component transfusions is unclear. METHODS: Adult trauma patients with a shock index >1 who received ≥4 combined units of red blood cells (RBC) or WB within 4 hours across 501 United States trauma centers were included using the American College of Surgeons Trauma Quality Improvement Program (ACS-TQIP) database. The associations between 1)WB resuscitation and mortality, 2)WB to total transfusion volume ratio (WB:TTV) and mortality, 3)balanced blood component transfusion in the setting of combined WB and component resuscitation and mortality were evaluated with multivariable analysis. RESULTS: A total of 12,275 patients were included (WB: 2,884 vs. component-only: 9,391). WB resuscitation was associated with lower odds of 4-hour (adjusted odds ratio [aOR]: 0.81 [0.68-0.97]), 24-hour, and 30-day mortality compared to component-only. Higher WB:TTV ratios were significantly associated with lower 4-hour, 24-hour, and 30-day mortality, with a 13% decrease in odds of 4-hour mortality for each 10% increase in the WB:TTV ratio (0.87 [95%CI:0.80 - 0.94]). Balanced blood component transfusion was associated with significantly lower odds of 4-hour (aOR: 0.45 [95%CI: 0.29 - 0.68]), 24-hour, and 30-day mortality in the setting of combined WB and blood component resuscitation. CONCLUSIONS: WB resuscitation, higher WB:TTV ratios, and balanced blood component transfusion in conjunction with WB were associated with lower mortality in trauma patients presenting in shock requiring 4 units of RBC and/or WB transfusion within 4 hours of arrival.

Nationwide, County-Level Analysis of the Patterns, Trends, and System-Level Predictors of Opioid Prescribing in Surgery in the US: Social Determinants and Access to Mental Health Services Matter.

BACKGROUND: The diversion of unused opioid prescription pills to the community at large contributes to the opioid epidemic in the US. In this county-level population-based study, we aimed to examine the US surgeons' opioid prescription patterns, trends, and system-level predictors in the peak years of the opioid epidemic. STUDY DESIGN: Using the Medicare Part D database (2013 to 2017), the mean number of opioid prescriptions per beneficiary (OPBs) was determined for each US county. Opioid-prescribing patterns were compared across counties. Multivariable linear regression was performed to determine relationships between county-level social determinants of health (demographic, eg median age and education level; socioeconomic, eg median income; population health status, eg percentage of current smokers; healthcare quality, eg rate of preventable hospital stays; and healthcare access, eg healthcare costs) and OPBs. RESULTS: Opioid prescription data were available for 1,969 of 3,006 (65.5%) US counties, and opioid-related deaths were recorded in 1,384 of 3,006 counties (46%). Nationwide, the mean OPBs decreased from 1.08 ± 0.61 in 2013 to 0.87 ± 0.55 in 2017; 81.6% of the counties showed the decreasing trend. County-level multivariable analyses showed that lower median population age, higher percentages of bachelor's degree holders, higher percentages of adults reporting insufficient sleep, higher healthcare costs, fewer mental health providers, and higher percentages of uninsured adults are associated with higher OPBs. CONCLUSIONS: Opioid prescribing by surgeons decreased between 2013 and 2017. A county's suboptimal access to healthcare in general and mental health services in specific may be associated with more opioid prescribing after surgery.

Safety of the injectable expanding biopolymer foam for non-compressible truncal bleeding in swine.

BACKGROUND: A novel hydrophobically modified chitosan (hm-chitosan) polymer has been previously shown to improve survival in a non-compressible intra-abdominal bleeding model in swine. We performed a 28-day survival study to evaluate the safety of the hm-chitosan polymer in swine. METHODS: Female Yorkshire swine (40-50 kg) were used. A mild, non-compressible, closed-cavity bleeding model was created with splenic transection. The hm-chitosan polymer was applied intra-abdominally through an umbilical nozzle in the same composition and dose previously shown to improve survival. Animals were monitored intraoperatively and followed 28 days postoperatively for survival, signs of pain, and end-organ function. Gross pathological and microscopic evaluations were performed at the conclusion of the experiment. RESULTS: A total of 10 animals were included (hm-chitosan = 8; control = 2). The 2 control animals survived through 28 days, and 7 of the 8 animals from the hm-chitosan group survived without any adverse events. One animal from the hm-chitosan group required early termination of the study for signs of pain, and superficial colonic ulcers were found on autopsy. Laboratory tests showed no signs of end-organ dysfunction after exposure to hm-chitosan after 28 days. On gross pathological examination, small (<0.5 cm) peritoneal nodules were noticed in the hm-chitosan group, which were consistent with giant-cell foreign body reaction in microscopy, presumably related to polymer remnants. Microscopically, no signs of systemic polymer embolization or thrombosis were noticed. CONCLUSION: Prolonged intraperitoneal exposure to the hm-chitosan polymer was tolerated without any adverse event in the majority of animals. In the single animal that required early termination, the material did not appear to be associated with end-organ dysfunction in swine. Superficial colonic ulcers that would require surgical repair were identified in 1 out of 8 animals exposed to hm-chitosan.

Optimal dose of cryoprecipitate in massive transfusion following trauma.

BACKGROUND: While cryoprecipitate (Cryo) is commonly included in massive transfusion protocols for hemorrhagic shock, the optimal dose of Cryo transfusion remains unknown. We evaluated the optimal red blood cell (RBC) to RBC to Cryo ratio during resuscitation in massively transfused trauma patients. METHODS: Adult patients in the American College of Surgeon Trauma Quality Improvement Program (2013-2019) receiving massive transfusion (≥4 U of RBCs, ≥1 U of fresh frozen plasma, and ≥1 U of platelets within 4 hours) were included. A unit of Cryo was defined as a pooled unit of 100 mL. The RBC:Cryo ratio was calculated for blood products transfused within 4 hours of presentation. The association between RBC:Cryo and 24-hour mortality was analyzed with multivariable logistic regression adjusting for the volume of RBC, plasma and platelet transfusions, global and regional injury severity, and other relevant variables. RESULTS: The study cohort included 12,916 patients. Among those who received Cryo (n = 5,511 [42.7%]), the median RBC and Cryo transfusion volume within 4 hours was 11 U (interquartile range, 7-19 U) and 2 U (interquartile range, 1-3 U), respectively. Compared with no Cryo administration, only RBC:Cryo ratios ≤8:1 were associated with a significant survival benefit, while lower doses of Cryo (RBC:Cryo >8:1) were not associated with decreased 24-hour mortality. Compared with the maximum dose of Cryo administration (RBC:Cryo, 1:1-2:1), there was no difference in 24-hour mortality up to RBC:Cryo of 7:1 to 8:1, whereas lower doses of Cryo (RBC:Cryo, >8:1) were associated with significantly increased 24-hour mortality. CONCLUSION: One pooled unit of Cryo (100 mL) per 7 to 8 U of RBCs could be the optimal dose of Cryo in trauma resuscitation that provides a significant survival benefit while avoiding unnecessary blood product transfusions. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; Level IV.

Use of artificial intelligence for nonlinear benchmarking of surgical care.

BACKGROUND: Existent methodologies for benchmarking the quality of surgical care are linear and fail to capture the complex interactions of preoperative variables. We sought to leverage novel nonlinear artificial intelligence methodologies to benchmark emergency surgical care. METHODS: Using a nonlinear but interpretable artificial intelligence methodology called optimal classification trees, first, the overall observed mortality rate at the index hospital's emergency surgery population (index cohort) was compared to the risk-adjusted expected mortality rate calculated by the optimal classification trees from the American College of Surgeons National Surgical Quality Improvement Program database (benchmark cohort). Second, the artificial intelligence optimal classification trees created different "nodes" of care representing specific patient phenotypes defined by the artificial intelligence optimal classification trees without human interference to optimize prediction. These nodes capture multiple iterative risk-adjusted comparisons, permitting the identification of specific areas of excellence and areas for improvement. RESULTS: The index and benchmark cohorts included 1,600 and 637,086 patients, respectively. The observed and risk-adjusted expected mortality rates of the index cohort calculated by optimal classification trees were similar (8.06% [95% confidence interval: 6.8-9.5] vs 7.53%, respectively, P = .42). Two areas of excellence and 4 for improvement were identified. For example, the index cohort had lower-than-expected mortality when patients were older than 75 and in respiratory failure and septic shock preoperatively but higher-than-expected mortality when patients had respiratory failure preoperatively and were thrombocytopenic, with an international normalized ratio ≤1.7. CONCLUSION: We used artificial intelligence methodology to benchmark the quality of emergency surgical care. Such nonlinear and interpretable methods promise a more comprehensive evaluation and a deeper dive into areas of excellence versus suboptimal care.

Delayed hemothorax readmissions after rib fracture in blunt trauma patients.

Background: Rib fractures are the most common traumatic injury. Hemothorax is one of the widespread complications associated with a rib fracture and occurs in 10-37 % of all rib fractures. Delayed hemothorax (DHTX) is defined as an accumulation of blood within the pleural cavity. Although there is extensive literature on hemothorax, there is limited literature on rib fractures and DHTX readmissions. The objective of this study was to identify potential risk factors for DHTX readmission and examine descriptive information on readmission. Methods: Using the 2016-2019 National Readmission Database (NRD), patients that experienced an admission with a blunt traumatic rib fracture were included. It was determined if the patients experienced DHTX by screening for an admission containing an ICD-10 code for hemothorax within 30 days after an admission containing a ICD-10 code for rib fracture. Univariable and multivariable analysis was performed to determine independent risk factors associated with DHTX readmission. Additionally, information on the clinical and financial characteristics of DHTX readmissions were examined. Results: A total of 242,071 patients were included, of whom 635 experienced DHTX readmission ≤30 days after discharge. Diagnosed with hemothorax on the index admission had the largest odds ratio for DHTX readmission (7.43 [6.14-8.99], P < 0.001). Complications found during DHTX readmission included acute respiratory failure (16.9 %), sepsis (6.9 %), and empyema (4.3 %). Treatment mainly consisted of pleural drainage (62.2 %) and video-assisted thoracoscopic surgery (VATS) evacuation of hemothorax (10.1 %). Conclusion: Patients admitted for a rib fracture have a low incidence for DHTX readmission within 30 days. However, multivariable analysis has demonstrated some risk and protective factors associated with DHTX readmission. Further studies should focus on exploring these risk factors to screen for potential DHTX readmission and/or protective factors to decrease the change for DHTX readmission.

Development of a Machine Learning-Based Prescriptive Tool to Address Racial Disparities in Access to Care After Penetrating Trauma.

Importance: The use of artificial intelligence (AI) in clinical medicine risks perpetuating existing bias in care, such as disparities in access to postinjury rehabilitation services. Objective: To leverage a novel, interpretable AI-based technology to uncover racial disparities in access to postinjury rehabilitation care and create an AI-based prescriptive tool to address these disparities. Design, Setting, and Participants: This cohort study used data from the 2010-2016 American College of Surgeons Trauma Quality Improvement Program database for Black and White patients with a penetrating mechanism of injury. An interpretable AI methodology called optimal classification trees (OCTs) was applied in an 80:20 derivation/validation split to predict discharge disposition (home vs postacute care [PAC]). The interpretable nature of OCTs allowed for examination of the AI logic to identify racial disparities. A prescriptive mixed-integer optimization model using age, injury, and gender data was allowed to "fairness-flip" the recommended discharge destination for a subset of patients while minimizing the ratio of imbalance between Black and White patients. Three OCTs were developed to predict discharge disposition: the first 2 trees used unadjusted data (one without and one with the race variable), and the third tree used fairness-adjusted data. Main Outcomes and Measures: Disparities and the discriminative performance (C statistic) were compared among fairness-adjusted and unadjusted OCTs. Results: A total of 52 468 patients were included; the median (IQR) age was 29 (22-40) years, 46 189 patients (88.0%) were male, 31 470 (60.0%) were Black, and 20 998 (40.0%) were White. A total of 3800 Black patients (12.1%) were discharged to PAC, compared with 4504 White patients (21.5%; P < .001). Examining the AI logic uncovered significant disparities in PAC discharge destination access, with race playing the second most important role. The prescriptive fairness adjustment recommended flipping the discharge destination of 4.5% of the patients, with the performance of the adjusted model increasing from a C statistic of 0.79 to 0.87. After fairness adjustment, disparities disappeared, and a similar percentage of Black and White patients (15.8% vs 15.8%; P = .87) had a recommended discharge to PAC. Conclusions and Relevance: In this study, we developed an accurate, machine learning-based, fairness-adjusted model that can identify barriers to discharge to postacute care. Instead of accidentally encoding bias, interpretable AI methodologies are powerful tools to diagnose and remedy system-related bias in care, such as disparities in access to postinjury rehabilitation care.

Timing of regional analgesia in elderly patients with blunt chest-wall injury.

BACKGROUND: Rib fractures represent a typical injury pattern in older people and are associated with respiratory morbidity and mortality. Regional analgesia modalities are adjuncts for pain management, but the optimal timing for their initiation remains understudied. We hypothesized that early regional analgesia would have similar outcomes to late regional analgesia. METHODS: We retrospectively reviewed the American College of Surgeons Trauma Quality Improvement Program database from 2017 to 2019. We included patients ≥65 years old admitted with blunt chest wall trauma who received regional analgesia. We divided patients into 2 groups: (1) early regional analgesia (within 24 hours of admission) and (2) late regional analgesia (>24 hours). The outcomes evaluated were ventilator-associated pneumonia, mortality, unplanned intensive care unit admission, unplanned intubation, discharge to home, and duration of stay. Univariable analysis and multivariable logistic regression adjusting for patient and injury characteristics, trauma center level, and respiratory interventions were performed. RESULTS: In the study, 2,248 patients were included. The mean (standard deviation) age was 75.3 (6.9), and 52.7% were male. The median injury severity score (interquartile range) was 13 (9-17). The early regional analgesia group had a decreased incidence of unplanned intubation (2.7% vs 5.3%, P = .002), unplanned intensive care unit admission (4.9% vs 8.4%, P < .001), and shorter mean duration of stay (5.5 vs 6.5 days, P = .002). In multivariable analysis, early regional analgesia was associated with decreased odds of unplanned intubation (odds ratio, 0.58; 95% confidence interval, 0.36-0.94; P = .026), unplanned intensive care unit admission (odds ratio, 0.60; 95% confidence interval, 0.041-0.86; P = .006), and increased odds of discharge to home (odds ratio, 1.27; 95% confidence interval, 1.04-1.55; P = .019). After multivariable adjustment, no significant difference was found for ventilator-associated pneumonia or mortality (odds ratio, 0.60; 95% confidence interval, 0.34-1.04; P = .070). CONCLUSION: Early regional analgesia initiation is associated with improved outcomes in older people with blunt chest wall injuries. Geriatric trauma care bundles targeting early initiation of regional analgesia can potentially decrease complications and resource use.

Artificial intelligence versus surgeon gestalt in predicting risk of emergency general surgery.

BACKGROUND: Artificial intelligence (AI) risk prediction algorithms such as the smartphone-available Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) for emergency general surgery (EGS) are superior to traditional risk calculators because they account for complex nonlinear interactions between variables, but how they compare to surgeons' gestalt remains unknown. Herein, we sought to: (1) compare POTTER to surgeons' surgical risk estimation and (2) assess how POTTER influences surgeons' risk estimation. STUDY DESIGN: A total of 150 patients who underwent EGS at a large quaternary care center between May 2018 and May 2019 were prospectively followed up for 30-day postoperative outcomes (mortality, septic shock, ventilator dependence, bleeding requiring transfusion, pneumonia), and clinical cases were systematically created representing their initial presentation. POTTER's outcome predictions for each case were also recorded. Thirty acute care surgeons with diverse practice settings and levels of experience were then randomized into two groups: 15 surgeons (SURG) were asked to predict the outcomes without access to POTTER's predictions while the remaining 15 (SURG-POTTER) were asked to predict the same outcomes after interacting with POTTER. Comparing to actual patient outcomes, the area under the curve (AUC) methodology was used to assess the predictive performance of (1) POTTER versus SURG, and (2) SURG versus SURG-POTTER. RESULTS: POTTER outperformed SURG in predicting all outcomes (mortality-AUC: 0.880 vs. 0.841; ventilator dependence-AUC: 0.928 vs. 0.833; bleeding-AUC: 0.832 vs. 0.735; pneumonia-AUC: 0.837 vs. 0.753) except septic shock (AUC: 0.816 vs. 0.820). SURG-POTTER outperformed SURG in predicting mortality (AUC: 0.870 vs. 0.841), bleeding (AUC: 0.811 vs. 0.735), pneumonia (AUC: 0.803 vs. 0.753) but not septic shock (AUC: 0.712 vs. 0.820) or ventilator dependence (AUC: 0.834 vs. 0.833). CONCLUSION: The AI risk calculator POTTER outperformed surgeons' gestalt in predicting the postoperative mortality and outcomes of EGS patients, and when used, improved the individual surgeons' risk prediction. Artificial intelligence algorithms, such as POTTER, could prove useful as a bedside adjunct to surgeons when preoperatively counseling patients. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level II.

Sex Related Outcomes Following Thoracic Endovascular Aortic Repair for Blunt Thoracic Aortic Injury.

OBJECTIVE: Current literature suggests that thoracic endovascular aortic repair (TEVAR) in older patients with aortic aneurysms results in higher peri-operative mortality and lower long term survival in females compared with males. However, sex related outcomes in younger patients with blunt thoracic aortic injury (BTAI) undergoing TEVAR remain unknown. This study examined the association between sex and outcomes after TEVAR for BTAI. METHODS: A retrospective cohort study was performed of all patients who underwent TEVAR for BTAI in the American College of Surgeons Trauma Quality Improvement Program (ACS-TQIP) between 2016 and 2019. The primary outcome was in hospital death. Secondary outcomes were peri-operative complications. Multivariable logistic regression was used to adjust for demographics, comorbidities, injury severity score, and aortic injury grade. RESULTS: Two thousand and twenty-two patients were included; 26% were female. Compared with males, females were older (46 [IQR 30, 62] vs. 39 [IQR 28, 56] years; p < .001), more often obese (41% vs. 33%; p = .005), had lower rates of alcohol use disorder (4.1% vs. 8.9%; p < .001) and a higher prevalence of hypertension (29% vs. 22%; p = .001). The injury severity was comparable between females and males (Injury Severity Score ≥ 25; 84% vs. 80%; p = .11) and there was no difference in aortic injury grades when comparing females with males (grade 1, 33% vs. 33%; grade 2, 24% vs. 25%; grade 3, 43% vs. 40%; grade 4, 0.8% vs. 1.3%; p = .53). Multivariable logistic regression demonstrated no difference for in hospital mortality between females and males (OR 1.02; 95% CI 0.67 - 1.53, p = .93). Compared with males, females were at lower risk of acute kidney injury (AKI) (OR 0.33; 95% CI 0.17 - 0.64; p = .001) and ventilator associated pneumonia (VAP) (OR 0.50; 95% CI 0.28 - 0.91; p = .023). CONCLUSION: This study did not demonstrate a sex related in hospital mortality difference following TEVAR for BTAI. However, female sex was associated with a lower risk of AKI and VAP. Future studies should evaluate sex differences and long term outcomes following TEVAR in patients with BTAI.

Using the Field Artificial Intelligence Triage (FAIT) tool to predict hospital critical care resource utilization in patients with truncal gunshot wounds.

BACKGROUND: Tiered trauma triage systems have resulted in a significant mortality reduction, but models have remained unchanged. The aim of this study was to develop and test an artificial intelligence algorithm to predict critical care resource utilization. METHODS: We queried the ACS-TQIP 2017-18 database for truncal gunshot wounds(GSW). An information-aware deep neural network (DNN-IAD) model was trained to predict ICU admission and need for mechanical ventilation (MV). Input variables included demographics, comorbidities, vital signs, and external injuries. The model's performance was assessed using the area under receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC). RESULTS: For the ICU admission analysis, we included 39,916 patients. For the MV need analysis, 39,591 patients were included. Median (IQR) age was 27 (22,36). AUROC and AUPRC for predicting ICU need were 84.8 ± 0.5 and 75.4 ± 0.5, and the AUROC and AUPRC for MV need were 86.8 ± 0.5 and 72.5 ± 0.6. CONCLUSIONS: Our model predicts hospital utilization outcomes in patients with truncal GSW with high accuracy, allowing early resource mobilization and rapid triage decisions in hospitals with capacity issues and austere environments.

Is perioperative COVID-19 really associated with worse surgical outcomes? A nationwide COVIDSurg propensity-matched analysis.

BACKGROUND: Patients undergoing surgery with perioperative COVID-19 are suggested to have worse outcomes, but whether this is COVID-related or due to selection bias remains unclear. We aimed to compare the postoperative outcomes of patients with and without perioperative COVID-19. METHODS: Patients with perioperative COVID-19 diagnosed within 7 days before or 30 days after surgery between February and July 2020 from 68 US hospitals in COVIDSurg, an international multicenter database, were 1:1 propensity score matched to patients without COVID-19 undergoing similar procedures in the 2012 American College of Surgeons National Surgical Quality Improvement Program database. The matching criteria included demographics (e.g., age, sex), comorbidities (e.g., diabetes, chronic obstructive pulmonary disease, chronic kidney disease), and operation characteristics (e.g., type, urgency, complexity). The primary outcome was 30-day hospital mortality. Secondary outcomes included hospital length of stay and 13 postoperative complications (e.g., pneumonia, renal failure, surgical site infection). RESULTS: A total of 97,936 patients were included, 1,054 with and 96,882 without COVID-19. Prematching, COVID-19 patients more often underwent emergency surgery (76.1% vs. 10.3%, p < 0.001). A total of 843 COVID-19 and 843 non-COVID-19 patients were successfully matched based on demographics, comorbidities, and operative characteristics. Postmatching, COVID-19 patients had a higher mortality (12.0% vs. 8.1%, p = 0.007), longer length of stay (6 [2-15] vs. 5 [1-12] days), and higher rates of acute renal failure (19.3% vs. 3.0%, p < 0.001), sepsis (13.5% vs. 9.0%, p = 0.003), and septic shock (11.8% vs. 6.0%, p < 0.001). They also had higher rates of thromboembolic complications such as deep vein thrombosis (4.4% vs. 1.5%, p < 0.001) and pulmonary embolism (2.5% vs. 0.4%, p < 0.001) but lower rates of bleeding (11.6% vs. 26.1%, p < 0.001). CONCLUSION: Patients undergoing surgery with perioperative COVID-19 have higher rates of 30-day mortality and postoperative complications, especially thromboembolic, compared with similar patients without COVID-19 undergoing similar surgeries. Such information is crucial for the complex surgical decision making and counseling of these patients. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; Level IV.

Surgical Implications of Coronavirus Disease-19.

As the coronavirus disease-19 (COVID-19) pandemic continues to evolve in 2022 with the surge of novel viral variants, it is important for physicians to understand and appreciate the surgical implications of the pandemic. This review provides an overview of the implications of the ongoing COVID-19 pandemic on surgical care and provides recommendations for perioperative management. Most observational studies suggest a higher risk for patients undergoing surgery with COVID-19 compared with risk-adjusted non-COVID-19 patients.

A Surgical Perspective of Gastrointestinal Manifestations and Complications of COVID-19 Infection.

The coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2, has quickly spread over the world since December 2019. COVID-19 is a systemic disease that can affect various organs throughout the body. Gastrointestinal (GI) symptoms have been reported in 16% to 33% of all patients with COVID-19 and in 75% of critically ill patients. This chapter reviews the GI manifestations of COVID-19 as well as their diagnostic and treatment modalities.

Association of Comorbidities and Functional Level With Mortality in Geriatric Bowel Perforation.

INTRODUCTION: Spontaneous bowel perforation is associated with high morbidity and mortality. This entity remains understudied in the geriatric patient. We sought to use a national surgical sample to uncover independent predictors of mortality in elderly patients undergoing emergent operation for perforated bowel. METHODS: Using the American College of Surgeons National Surgical Quality Improvement database, years 2007 to 2017, all geriatric patients (age ≥65 y) who underwent emergency surgery and who had a postoperative diagnosis of bowel perforation were included. Univariate and multivariable analyses were used to identify independent predictors of 30-d mortality. RESULTS: A total of 8981 patients were included. The median (interquartile range) age was 75 y (69, 82), and 59.0% were female. Twenty-one percent of patients were partially or totally dependent, and 25.2% were admitted from sources other than home. Overall, 30-d mortality rate was 22.1%. Independent predictors of mortality included the following: age 70-79 y (odds ratio [OR]: 1.59, P < 0.001), age ≥80 y (OR: 3.23, P < 0.001), American Society of Anesthesiologists ≥3 (OR: 4.74, P < 0.001), admission from chronic care facility (OR: 1.61, P < 0.001), being partially or totally dependent (OR: 1.50, P < 0.001), chronic steroid use (OR: 1.36, P < 0.001), and preoperative septic shock (OR: 3.74, P < 0.001). Having immediate fascial closure was protective against mortality (immediate fascial closure only, OR: 0.55, P < 0.001; -immediate closure of all surgical site layers, OR: 0.44, P < 0.001). CONCLUSIONS: In geriatric patients, functional status and chronic steroid therapy play an important role in determining survival following surgery for bowel perforation. These factors should be considered during preoperative counseling and decision-making.

Balanced blood component resuscitation in trauma: Does it matter equally at different transfusion volumes?

BACKGROUND: It remains unclear whether the association between balanced blood component transfusion and lower mortality is generalizable to trauma patients receiving varying transfusion volumes. We sought to study the role red blood cell transfusion volume plays in the relationships between red blood cell:platelet and red blood cell:fresh frozen plasma ratios and 4-hour mortality. METHODS: Adult patients in the 2013 to 2018 American College of Surgeons Trauma Quality Improvement Program database receiving ≥6 red blood cell, ≥1 platelet, and ≥1 fresh frozen plasma within 4 hours were included. The following 4 cohorts were defined based on 4-hour red blood cell transfusion volume: (1) 6 to 10 units, (2) 11 to 15 units, (3) 16 to 20 units, and (4) >20 units. The association between red blood cell:fresh frozen plasma, red blood cell:platelet, and 4-hour mortality was evaluated discretely for each red blood cell transfusion volume category, statistically adjusting for confounders. RESULTS: A total of 14,549 patients were included. In patients receiving 6 to 10 units of red blood cells, red blood cell:platelet ratios were not associated with 4-hour mortality, and only red blood cell:fresh frozen plasma ≥4:1 were associated with significantly higher odds of 4-hour mortality compared to 1:1. For patients receiving >10 red blood cell units, increasing red blood cell:platelet and red blood cell:fresh frozen plasma ratios were consistently associated with increased odds of 4-hour mortality. For example, in red blood cell volumes of 11 to 15, 16 to 20, and >20 units, risk-adjusted 4-hour mortality odds ratios for red blood cell:platelet ≥4:1 were 2.27 (1.47-3.51), 3.32 (2.26-4.90), and 3.01 (2.33-3.88), respectively. CONCLUSION: The association between balanced blood component transfusion and 4-hour mortality is not homogenous in trauma patients requiring different transfusion volumes and is specifically less evident in patients receiving lower volumes. Such findings should be considered in the current and future blood shortage crises across the nation.

Revisiting abdominal closure in mesenteric ischemia: is there an association with outcome?

PURPOSE: Current guidelines advocate liberal use of delayed abdominal closure in patients with acute mesenteric ischemia (AMI) undergoing laparotomy. Few studies have systematically examined this practice. The goal of this study was to evaluate the effect of delayed abdominal closure on postoperative morbidity and mortality in patients with AMI. METHODS: We performed a retrospective cohort study of the ACS-NSQIP 2013-2017 registry. We included patients with a diagnosis of AMI undergoing emergency laparotomy. Patients were divided into two groups based on the type of abdominal closure: (1) delayed fascial closure (DFC) when no layers of the abdominal wall were closed and (2) immediate fascial closure (IFC) if deep layers or all layers of the abdominal wall were closed. Propensity score matching was performed based on comorbidities, pre-operative, and operative characteristics. Univariable analysis was performed on the matched sample. RESULTS: The propensity-matched cohort consisted of 1520 patients equally divided into the DFC and IFC groups. The median (IQR) age was 68 (59-77), and 836 (55.0%) were female. Compared to IFC, the DFC group showed increased in-hospital mortality (38.9% vs. 31.6%, p = 0.002), 30-day mortality (42.4% vs. 36.3%, p = 0.012), and increased risk of respiratory failure (59.5% vs. 31.2%, p < 0.001). CONCLUSIONS: The delayed fascial closure technique was associated with increased mortality compared to immediate fascial closure. These findings do not support the blanket incorporation of delayed closure in mesenteric ischemia care or its previously advocated liberal use.

Timing and choice of systemic anticoagulation in the setting of extremity arterial injury repair.

PURPOSE: The role of perioperative anticoagulation in the setting of peripheral arterial injury remains unclear. We hypothesized that early initiation of anticoagulation is associated with a reduced amputation rate without increasing bleeding complications. METHODS: Using the 2016-2019 ACS-TQIP database, adult patients with upper and lower extremity vascular injuries who underwent open arterial repair and received anticoagulation were included. Patients were divided into two groups: (1) early venous thromboembolism prophylaxis (≤ 24 h) and (2) late prophylaxis (> 24 h) following arterial repair. The primary outcomes were the rates of limb amputation and bleeding complications. Multivariable logistic regression was used to estimate the impact of timing and type of anticoagulation on the rates of limb amputation and bleeding complications. RESULTS: 4379 patients were included, and 83.9% were males. 68.1% of patients received early anticoagulation, whereas 31.9% received late thromboprophylaxis. Low-molecular-weight heparin (LMWH) was used in 62.0% of patients, and unfractionated heparin (UFH) was administered in 34.3% of patients. Multivariable analysis showed that late initiation of thromboprophylaxis (OR = 1.69 [1.16-2.45], p = 0.006) and use of UFH (OR = 2.61 [1.80-3.79], p < 0.001) were associated with increased rate of amputation. Early initiation of anticoagulation (OR = 2.16 [1.63-2.85], p < 0.001) was associated with increased risk of bleeding complications requiring blood transfusions. Similarly, the use of UFH was associated with a higher rate of bleeding events compared to LWMH (OR = 2.61, [1.80-3.79], p < 0.001). CONCLUSION: Patients with the operative repair of arterial injuries receiving early perioperative anticoagulation demonstrated an improved limb salvage outcome than those who received late thromboprophylaxis. Our data also suggest that early initiation of prophylaxis may be associated with increased bleeding risk, which may be attenuated using LMWH compared to UFH.

Delayed fascial closure in nontrauma abdominal emergencies: A nationwide analysis.

BACKGROUND: Initially used in trauma management, delayed abdominal closure endeavors to decrease operative time during the index operation while still being lifesaving. Its use in emergency general surgery is increasing, but the data evaluating its outcome are sparse. We aimed to study the association between delayed abdominal closure, mortality, morbidity, and length of stay in an emergency surgery cohort. METHODS: The 2013 to 2017 American College of Surgeons National Surgical Quality Improvement Program database was examined for patients undergoing emergency laparotomy. The patients were classified by the timing of abdominal wall closure: delayed fascial closure versus immediate fascial closure. Propensity score matching was performed based on preoperative covariates, wound classification, and performance of bowel resection. The outcomes were then compared by univariable analysis. RESULTS: After matching, both the delayed fascial closure and immediate fascial closure groups consisted of 3,354 patients each. Median age was 65 years, and 52.6% were female. The delayed fascial closure group had a higher in-hospital mortality (35.3% vs 25.0%, P < .001), a higher 30-day mortality (38.6% vs 29.0%, P < .001), a higher proportion of acute kidney injury (9.5% vs 6.6%, P < .001), a lower proportion of postoperative sepsis (11.8% vs 15.6%, P < .001), and a lower proportion of surgical site infection (3.4% vs 7.0%, P < .001). CONCLUSION: Compared with immediate fascial closure, delayed fascial closure is associated with an increased mortality in the patients matched based on comorbidities and surgical site contamination. In emergency general surgery, delaying abdominal closure may not have the presumed overarching benefits, and its indications must be further defined in this population.

Do not forget the platelets: The independent impact of red blood cell to platelet ratio on mortality in massively transfused trauma patients.

BACKGROUND: Balanced blood component administration during massive transfusion is standard of care. Most literature focuses on the impact of red blood cell (RBC)/fresh frozen plasma (FFP) ratio, while the value of balanced RBC:platelet (PLT) administration is less established. The aim of this study was to evaluate and quantify the independent impact of RBC:PLT on 24-hour mortality in trauma patients receiving massive transfusion. METHODS: Using the 2013 to 2018 American College of Surgeons Trauma Quality Improvement Program database, adult patients who received massive transfusion (≥10 U of RBC/24 hours) and ≥1 U of RBC, FFP, and PLT within 4 hours of arrival were retrospectively included. To mitigate survival bias, only patients with consistent RBC:PLT and RBC:FFP ratios between 4 and 24 hours were analyzed. Balanced FFP or PLT transfusions were defined as having RBC:PLT and RBC:FFP of ≤2, respectively. Multivariable logistic regression was used to compare the independent relationship between RBC:FFP, RBC:PLT, balanced transfusion, and 24-hour mortality. RESULTS: A total of 9,215 massive transfusion patients were included. The number of patients who received transfusion with RBC:PLT >2 (1,942 [21.1%]) was significantly higher than those with RBC:FFP >2 (1,160 [12.6%]) (p < 0.001). Compared with an RBC:PLT ratio of 1:1, a gradual and consistent risk increase was observed for 24-hour mortality as the RBC:PLT ratio increased (p < 0.001). Patients with both FFP and PLT balanced transfusion had the lowest adjusted risk for 24-hour mortality. Mortality increased as resuscitation became more unbalanced, with higher odds of death for unbalanced PLT (odds ratio, 2.48 [2.18-2.83]) than unbalanced FFP (odds ratio, 1.66 [1.37-1.98]), while patients who received both FFP and PLT unbalanced transfusion had the highest risk of 24-hour mortality (odds ratio, 3.41 [2.74-4.24]). CONCLUSION: Trauma patients receiving massive transfusion significantly more often have unbalanced PLT rather than unbalanced FFP transfusion. The impact of unbalanced PLT transfusion on 24-hour mortality is independent and potentially more pronounced than unbalanced FFP transfusion, warranting serious system-level efforts for improvement. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level IV.