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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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

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. 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. 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. 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. [Display omitted] [ABSTRACT FROM AUTHOR]

The Emergency Surgery Score was recently validated in a prospective multicenter study as an accurate predictor of mortality in emergency general surgery patients. The Emergency Surgery Score is easily calculated using multiple demographic, comorbidity, laboratory, and acuity of disease variables. We aimed to investigate whether the Emergency Surgery Score can predict 30-day postoperative mortality across patients undergoing emergency surgery in multiple surgical specialties. Our study is a retrospective cohort study using data from the national American College of Surgeons National Surgical Quality Improvement Program database (2007-2017). We included patients that underwent emergency gynecologic, urologic, thoracic, neurosurgical, orthopedic, vascular, cardiac, and general surgical procedures. The Emergency Surgery Score was calculated for each patient, and the correlation between the Emergency Surgery Score and 30-day mortality was assessed for each specialty using the c-statistics methodology. Of 6,485,915 patients, 173,890 patients were included. The mean age was 60 years, 50.6% were female patients, and the overall mortality was 9.7%. The Emergency Surgery Score predicted mortality best in emergency gynecologic, general, and urologic surgery (c-statistics: 0.97, 0.87, 0.81, respectively). The Emergency Surgery Score predicted mortality moderately well in emergency thoracic, neurosurgical, orthopedic, and vascular surgery (c-statistics 0.73–0.79). For example, the mortality of gynecology patients with an Emergency Surgery Score of 5, 9, and 13 was 2%, 27%, and 50%, respectively. The Emergency Surgery Score performed poorly in cardiac surgery. The Emergency Surgery Score accurately predicts mortality across patients undergoing emergency surgery in multiple surgical specialties, especially general, gynecologic, and urologic surgery. The Emergency Surgery Score can prove useful for perioperative patient counseling and for benchmarking the quality of surgical care. [Display omitted] [ABSTRACT FROM AUTHOR]

Hospital readmission is an important quality-of-care indicator. We sought to examine the rates and predictors of unplanned readmission for the high-risk non-trauma emergency laparotomy patient. This is a post hoc analysis of a multicenter prospective observational study. Between April 2018 and June 2019, a total of 19 centers enrolled all adult patients undergoing emergency laparotomies and systematically collected preoperative, operative, and 30-day postoperative variables. For the purpose of this study, we defined unplanned readmission as a readmission occurring within 30 days from discharge and one that was immediately preceded by an emergency department visit. Patients were excluded if they died during the index admission, were discharged to hospice, or were transferred to other hospitals. Predictors of unplanned readmission were evaluated using a multivariable logistic regression model, adjusting for patient demographics, comorbidities, laboratory variables, and preoperative acuity of disease variables. A total of 1,347 patients were included, of which 234 (17.4%) had an unplanned readmission. The median patient age was 60 y, 49.4% were male, and 71.4% were white. The most common diagnoses were hollow viscus perforation (28.1%) and small bowel obstruction (24.5%). Predictors of unplanned readmission included patient factors (eg, disseminated cancer [odds ratio: 2.22, confidence interval: 1.35–3.64, P =.002], weight loss >10% in the past 6 months [odds ratio: 1.65, confidence interval: 1.07–2.54, P =.023], dyspnea at baseline [odds ratio: 1.62, confidence interval: 1.06–2.48, P =.026], wound complications [odds ratio: 2.23, confidence interval: 1.55–3.19, P <.001], and discharge to nursing homes [odds ratio: 1.68, confidence interval: 1.02–2.80, P =.044]). Unplanned readmission after emergency laparotomies are common, especially for patients with wound complications or requiring nursing homes. These system factors are potential quality improvement targets to reduce readmissions. [ABSTRACT FROM AUTHOR]

The outcomes of operative repair of intestinal-cutaneous fistulas vary widely throughout the literature. We aimed to investigate whether the modified frailty index-5 is a reliable tool to account for physiologic reserve and whether it serves as a predictor of Clavien-Dindo grade IV complications in those with intestinal-cutaneous fistulas undergoing operative repair. We queried the American College of Surgeons National Surgical Quality Improvement Program 2006 to 2017 database to include patients who underwent intestinal-cutaneous fistulas repair. The outcome of interest was 30-day Clavien-Dindo grade IV complications. The incidence of 30-day post-operative Clavien-Dindo grade IV complications were evaluated based on calculated modified frailty index-5 score. Multivariable logistic regression analyses were performed to assess the association of Clavien-Dindo grade IV complications and modified frailty index-5. A total of 3,995 patients were identified who underwent an intestinal-cutaneous fistulas repair. The median age (interquartile range) was 57 years (46, 67), and most patients were female (2,143 [53.7%]), White (3,206 [80.3%]), and 1,512 (38.2%) were obese. After adjusting for relevant covariates such as demographics, comorbidities, and operative details, modified frailty index-5 was independently associated with Clavien-Dindo grade IV complications (odds ratio = 2.81, 95% confidence interval 1.64–4.82; P <.001). Modified frailty index-5 is an independent predictor of Clavien-Dindo grade IV complications following intestinal-cutaneous fistulas repair. It can be used to account for physiologic reserve, thus reducing the variability of outcomes reported for intestinal-cutaneous fistulas repair. [ABSTRACT FROM AUTHOR]

Supplemental Digital Content is available in the text [ABSTRACT FROM AUTHOR]

The incidence of underlying malignancy in appendicitis ranges between 0.5% and 1.7%. We sought to identify the subset of patients with appendicitis who are at increased risk of appendiceal malignancy. Using the Eastern Association for the Surgery of Trauma Multicenter Study of the Treatment of Appendicitis in America: Acute, Perforated, and Gangrenous database, we included all patients from 28 centers undergoing immediate, delayed, or interval appendectomy between 2017 and 2018. Univariate then multivariable analyses were performed to compare patients with and without malignancy and to identify independent demographic, clinical, laboratory, and/or radiological predictors of malignancy. Akaike information criteria for regression models were used to evaluate goodness of fit. A total of 3,293 patients were included. The median age was 38 (27–53) years, and 46.5% were female patients. On pathology, 48 (1.5%) had an underlying malignancy (adenocarcinoma [60.4%], neuroendocrine [37.5%], and lymphoma [2.1%]). Patients with malignancy were older (56 [34.5–67] vs 37 [27–52] years, P <.001), had longer duration of symptoms before presentation (36–41 vs 18–23 hours, P =.03), and were more likely to have a phlegmon on imaging (6.3% vs 1.3%, P =.03). Multivariable analyses showed that an enlarged appendiceal diameter was independently associated with malignancy (odds ratio = 1.06, 95% confidence interval = 1.01–1.12; P =.01). The incidence of malignancy in patients >40 years with an appendiceal diameter >10 mm on computed tomography was 2.95% compared with 0.97% in patients ≤40 years old with appendiceal diameter ≤10 mm. The corresponding risk ratio for that population was 3.03 (95% confidence interval: 1.24–7.42; P =.02). The combination of age >40 and an appendiceal diameter >10 mm is associated with a greater than 3-fold increased risk of malignancy in patients presenting with appendicitis. [ABSTRACT FROM AUTHOR]