Browsing by Author "Yang, Anthony D."
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Item A National Survey of Motor Vehicle Crashes Among General Surgery Residents(Wolters Kluwer, 2021) Schlick, Cary Jo R.; Hewitt, Daniel Brock; Quinn, Christopher M.; Ellis, Ryan J.; Shapiro, Katherine E.; Jones, Andrew; Bilimoria, Karl Y.; Yang, Anthony D.; Surgery, School of MedicineObjectives: Evaluate the frequency of self-reported, post-call hazardous driving events in a national cohort of general surgery residents and determine the associations between duty hour policy violations, psychiatric well-being, and hazardous driving events. Summary of background data: MVCs are a leading cause of resident mortality. Extended work shifts and poor psychiatric well-being are risk factors for MVCs, placing general surgery residents at risk. Methods: General surgery residents from US programs were surveyed after the 2017 American Board of Surgery In-Training Examination. Outcomes included self-reported nodding off while driving, near-miss MVCs, and MVCs. Group-adjusted cluster Chi-square and hierarchical regression models with program-level intercepts measured associations between resident- and program-level factors and outcomes. Results: Among 7391 general surgery residents from 260 programs (response rate 99.3%), 34.7% reported nodding off while driving, 26.6% a near-miss MVC, and 5.0% an MVC over the preceding 6 months. More frequent 80-hour rule violations were associated with all hazardous driving events: nodding off while driving {59.8% with ≥5 months with violations vs 27.2% with 0, adjusted odds ratio (AOR) 2.86 [95% confidence interval (CI) 2.21-3.69]}, near-miss MVCs, [53.6% vs 19.2%, AOR 3.28 (95% CI 2.53-4.24)], and MVCs [14.0% vs 3.5%, AOR 2.46 (95% CI 1.65-3.67)]. Similarly, poor psychiatric well-being was associated with all 3 outcomes [eg, 8.0% with poor psychiatric well-being reported MVCs vs 2.6% without, odds ratio 2.55 (95% CI 2.00-3.24)]. Conclusions: Hazardous driving events are prevalent among general surgery residents and associated with frequent duty hour violations and poor psychiatric well-being. Greater adherence to duty hour standards and efforts to improve well-being may improve driving safety.Item A postdischarge venous thromboembolism risk calculator for inflammatory bowel disease surgery(Elsevier, 2021) Schlick, Cary Jo R.; Yuce, Tarik K.; Yang, Anthony D.; McGee, Michael F.; Bentrem, David J.; Bilimoria, Karl Y.; Merkow, Ryan P.; Surgery, School of MedicineBackground: Guidelines recommend extended chemoprophylaxis for venous thromboembolism in high-risk patients having operations for inflammatory bowel disease. Quantifying patients' risk of venous thromboembolism, however, remains challenging. We sought (1) to identify factors associated with postdischarge venous thromboembolism in patients undergoing colorectal resection for inflammatory bowel disease and (2) to develop a postdischarge venous thromboembolism risk calculator to guide prescribing of extended chemoprophylaxis. Methods: Patients who underwent an operation for inflammatory bowel disease from 2012 to 2018 were identified from the American College of Surgeons National Surgical Quality Improvement Program for colectomy and proctectomy procedure targeted modules. Postdischarge venous thromboembolism included pulmonary embolism or deep vein thrombosis diagnosed after discharge from the index hospitalization. Multivariable logistic regression estimated the association of patient/operative factors with postdischarge venous thromboembolism. A postdischarge venous thromboembolism risk calculator was subsequently constructed. Results: Of 18,990 patients, 199 (1.1%) developed a postdischarge venous thromboembolism within the first 30 postoperative days. Preoperative factors associated with postdischarge venous thromboembolism included body mass index (1.9% with body mass index ≥35 vs 0.8% with body mass index 18.5-24.9; odds ratio 2.34 [95% confidence interval 1.49-3.67]), steroid use (1.3% vs 0.7%; odds ratio 1.91 [95% confidence interval 1.37-2.66]), and ulcerative colitis (1.5% vs 0.8% with Crohn's disease; odds ratio 1.76 [95% confidence interval 1.32-2.34]). Minimally invasive surgery was associated with postdischarge venous thromboembolism (1.2% vs 0.9% with open; odds ratio 1.42 [95% confidence interval 1.05-1.92]), as was anastomotic leak (2.8% vs 1.0%; odds ratio 2.24 [95% confidence interval 1.31-3.83]) and ileus (2.1% vs 0.9%; odds ratio 2.60 [95% confidence interval 1.91-3.54]). The predicted probability of postdischarge venous thromboembolism ranged from 0.2% to 14.3% based on individual risk factors. Conclusion: Preoperative, intraoperative, and postoperative factors are associated with postdischarge venous thromboembolism after an operation for inflammatory bowel disease. A postdischarge venous thromboembolism risk calculator was developed which can be used to tailor extended venous thromboembolism chemoprophylaxis by individual risk.Item Amalgamation of cloud-based colonoscopy videos with patient-level metadata to facilitate large-scale machine learning(Thieme, 2021) Keswani, Rajesh N.; Byrd, Daniel; Garcia Vicente, Florencia; Heller, J. Alex; Klug, Matthew; Mazumder, Nikhilesh R.; Wood, Jordan; Yang, Anthony D.; Etemadi, Mozziyar; Surgery, School of MedicineBackground and study aims: Storage of full-length endoscopic procedures is becoming increasingly popular. To facilitate large-scale machine learning (ML) focused on clinical outcomes, these videos must be merged with the patient-level data in the electronic health record (EHR). Our aim was to present a method of accurately linking patient-level EHR data with cloud stored colonoscopy videos. Methods: This study was conducted at a single academic medical center. Most procedure videos are automatically uploaded to the cloud server but are identified only by procedure time and procedure room. We developed and then tested an algorithm to match recorded videos with corresponding exams in the EHR based upon procedure time and room and subsequently extract frames of interest. Results: Among 28,611 total colonoscopies performed over the study period, 21,170 colonoscopy videos in 20,420 unique patients (54.2 % male, median age 58) were matched to EHR data. Of 100 randomly sampled videos, appropriate matching was manually confirmed in all. In total, these videos represented 489,721 minutes of colonoscopy performed by 50 endoscopists (median 214 colonoscopies per endoscopist). The most common procedure indications were polyp screening (47.3 %), surveillance (28.9 %) and inflammatory bowel disease (9.4 %). From these videos, we extracted procedure highlights (identified by image capture; mean 8.5 per colonoscopy) and surrounding frames. Conclusions: We report the successful merging of a large database of endoscopy videos stored with limited identifiers to rich patient-level data in a highly accurate manner. This technique facilitates the development of ML algorithms based upon relevant patient outcomes.Item Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study(Elsevier, 2021) Bonde, Alexander; Varadarajan, Kartik M.; Bonde, Nicholas; Troelsen, Anders; Muratoglu, Orhun K.; Malchau, Henrik; Yang, Anthony D.; Alam, Hasan; Sillesen, Martin; Surgery, School of MedicineBackground: Early detection of postoperative complications, including organ failure, is pivotal in the initiation of targeted treatment strategies aimed at attenuating organ damage. In an era of increasing health-care costs and limited financial resources, identifying surgical patients at a high risk of postoperative complications and providing personalised precision medicine-based treatment strategies provides an obvious pathway for reducing patient morbidity and mortality. We aimed to leverage deep learning to create, through training on structured electronic health-care data, a multilabel deep neural network to predict surgical postoperative complications that would outperform available models in surgical risk prediction. Methods: In this retrospective study, we used data on 58 input features, including demographics, laboratory values, and 30-day postoperative complications, from the American College of Surgeons (ACS) National Surgical Quality Improvement Program database, which collects data from 722 hospitals from around 15 countries. We queried the entire adult (≥18 years) database for patients who had surgery between Jan 1, 2012, and Dec 31, 2018. We then identified all patients who were treated at a large midwestern US academic medical centre, excluded them from the base dataset, and reserved this independent group for final model testing. We then randomly created a training set and a validation set from the remaining cases. We developed three deep neural network models with increasing numbers of input variables and so increasing levels of complexity. Output variables comprised mortality and 18 different postoperative complications. Overall morbidity was defined as any of 16 postoperative complications. Model performance was evaluated on the test set using the area under the receiver operating characteristic curve (AUC) and compared with previous metrics from the ACS-Surgical Risk Calculator (ACS-SRC). We evaluated resistance to changes in the underlying patient population on a subset of the test set, comprising only patients who had emergency surgery. Results were also compared with the Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) calculator. Findings: 5 881 881 surgical patients, with 2941 unique Current Procedural Terminology codes, were included in this study, with 4 694 488 in the training set, 1 173 622 in the validation set, and 13 771 in the test set. The mean AUCs for the validation set were 0·864 (SD 0·053) for model 1, 0·871 (0·055) for model 2, and 0·882 (0·053) for model 3. The mean AUCs for the test set were 0·859 (SD 0·063) for model 1, 0·863 (0·064) for model 2, and 0·874 (0·061) for model 3. The mean AUCs of each model outperformed previously published performance metrics from the ACS-SRC, with a direct correlation between increasing model complexity and performance. Additionally, when tested on a subgroup of patients who had emergency surgery, our models outperformed previously published POTTER metrics. Interpretation: We have developed unified prediction models, based on deep neural networks, for predicting surgical postoperative complications. The models were generally superior to previously published surgical risk prediction tools and appeared robust to changes in the underlying patient population. Deep learning could offer superior approaches to surgical risk prediction in clinical practice.Item Association Between Missed Doses of Chemoprophylaxis and VTE Incidence in a Statewide Colectomy Cohort(Wolters Kluwer, 2021) Khorfan, Rhami; Kreutzer, Lindsey; Love, Remi; Schlick, Cary Jo R.; Chia, Matthew; Bilimoria, Karl Y.; Yang, Anthony D.; Surgery, School of MedicineItem Comparison of pain after prophylactic anticoagulant injections to prevent venous thromboembolism(Elsevier, 2024-06-18) Shyu, Margaret; Robinson, Tyler P.; Morgan, Allison M.; Johnson, Julie K.; Shan, Ying; Bilimoria, Karl Y.; Yang, Anthony D.; Surgery, School of MedicineSubcutaneous injection of unfractionated heparin (UH) or low molecular weight heparin (LMWH) is frequently utilized for venous thromboembolism chemoprophylaxis. We previously discovered that nurses believe patients experience more pain with UH compared to the LMWH enoxaparin; however, no published studies that are appropriately powered exist comparing pain associated with subcutaneous chemoprophylaxis. Our objective was to assess if differences exist in pain associated with subcutaneous administration of UH and enoxaparin. We conducted an observational study of patients who underwent major abdominal surgery between 11/2017–4/2019. All patients received one of three prophylactic regimens: (1) UH only, (2) Initial dose of UH followed by enoxaparin, or (3) enoxaparin only. Of the 74 patients observed, 40 patients received UH followed by enoxaparin, 17 received UH only, and 17 received enoxaparin only. There was a significant difference in patients' mean perceived pain between subcutaneous UH and enoxaparin injections (mean post-injection pain after UH 3.3 vs. enoxaparin 1.5; p < 0.001). There was no significant difference in perceived pain for patients who received consecutive UH or enoxaparin injections. Differences in pain associated with different chemoprophylaxis agents may be an unrecognized driver of patient refusals of VTE chemoprophylaxis and may lead to worse VTE outcomes.Item Development of the Illinois Surgical Quality Improvement Collaborative (ISQIC): Implementing 21 Components to Catalyze Statewide Improvement in Surgical Care(Wolters Kluwer, 2023) Bilimoria, Karl Y.; McGee, Michael F.; Williams, Mark V.; Johnson, Julie K.; Halverson, Amy L.; O'Leary, Kevin J.; Farrell, Paula; Thomas, Juliana; Love, Remi; Kreutzer, Lindsey; Dahlke, Allison R.; D'Orazio, Brianna; Reinhart, Steven; Dienes, Katelyn; Schumacher, Mark; Shan, Ying; Quinn, Christopher; Prachand, Vivek N.; Sullivan, Susan; Cradock, Kimberly A.; Boyd, Kelsi; Hopkinson, William; Fairman, Colleen; Odell, David; Stulberg, Jonah J.; Barnard, Cindy; Holl, Jane; Merkow, Ryan P.; Yang, Anthony D.; Surgery, School of MedicineIntroduction: In 2014, 56 Illinois hospitals came together to form a unique learning collaborative, the Illinois Surgical Quality Improvement Collaborative (ISQIC). Our objectives are to provide an overview of the first three years of ISQIC focused on (1) how the collaborative was formed and funded, (2) the 21 strategies implemented to support quality improvement (QI), (3) collaborative sustainment, and (4) how the collaborative acts as a platform for innovative QI research. Methods: ISQIC includes 21 components to facilitate QI that target the hospital, the surgical QI team, and the peri-operative microsystem. The components were developed from available evidence, a detailed needs assessment of the hospitals, reviewing experiences from prior surgical and non-surgical QI Collaboratives, and interviews with QI experts. The components comprise 5 domains: guided implementation (e.g., mentors, coaches, statewide QI projects), education (e.g., process improvement (PI) curriculum), hospital- and surgeon-level comparative performance reports (e.g., process, outcomes, costs), networking (e.g., forums to share QI experiences and best practices), and funding (e.g., for the overall program, pilot grants, and bonus payments for improvement). Results: Through implementation of the 21 novel ISQIC components, hospitals were equipped to use their data to successfully implement QI initiatives and improve care. Formal (QI/PI) training, mentoring, and coaching were undertaken by the hospitals as they worked to implement solutions. Hospitals received funding for the program and were able to work together on statewide quality initiatives. Lessons learned at one hospital were shared with all participating hospitals through conferences, webinars, and toolkits to facilitate learning from each other with a common goal of making care better and safer for the surgical patient in Illinois. Over the first three years, surgical outcomes improved in Illinois. Discussion: The first three years of ISQIC improved care for surgical patients across Illinois and allowed hospitals to see the value of participating in a surgical QI learning collaborative without having to make the initial financial investment themselves. Given the strong support and buy-in from the hospitals, ISQIC has continued beyond the initial three years and continues to support QI across Illinois hospitals.Item Evaluation of Emergency Department Treat-and-Release Encounters After Major Gastrointestinal Surgery(Wiley, 2023) Brajcich, Brian C.; Johnson, Julie K.; Holl, Jane L.; Bilimoria, Karl Y.; Shallcross, Meagan L.; Chung, Jeanette; Joung, Rachel Hae Soo; Iroz, Cassandra B.; Odell, David D.; Bentrem, David J.; Yang, Anthony D.; Franklin, Patricia D.; Slota, Jennifer M.; Silver, Casey M.; Skolarus, Ted; Merkow, Ryan P.; Surgery, School of MedicineBackground and objectives: Emergency department (ED) utilization after gastrointestinal cancer operations is poorly characterized. Our study objectives were to determine the incidence of, reasons for, and predictors of ED treat-and-release encounters after gastrointestinal cancer operations. Methods: Patients who underwent elective esophageal, hepatobiliary, gastric, pancreatic, small intestinal, or colorectal operations for cancer were identified in the 2015-2017 Healthcare Cost and Utilization Project State Inpatient and State Emergency Department Databases for New York, Maryland, and Florida. The primary outcomes were the incidence of ED treat-and-release encounters and readmissions within 30 days of discharge. Results: Among 51 527 patients at 406 hospitals, 4047 (7.9%) had an ED treat-and-release encounter, and 5573 (10.8%) had an ED encounter with readmission. In total, 40.7% of ED encounters were treat-and-release encounters. ED treat-and-release encounters were most frequently for pain (12.0%), device/ostomy complaints (11.7%), or wound complaints (11.4%). ED treat-and-release encounters predictors included non-Hispanic Black race/ethnicity (odds ratio [OR] 1.24, 95% confidence interval [CI] 1.12-1.37) and Medicare (OR 1.27, 95% CI 1.16-1.40) or Medicaid (OR 1.82, 95% CI 1.62-2.40) coverage. Conclusions: ED treat-and-release encounters are common after major gastrointestinal operations, making up nearly half of postdischarge ED encounters. The reasons for ED treat-and-release encounters differ from those for ED encounters with readmissions.Item Management of colorectal cancer during the COVID‐19 pandemic: Recommendations from a statewide multidisciplinary cancer collaborative(Wiley, 2022) Brajcich, Brian C.; Benson, Al B.; Gantt, Gerald, Jr.; Eng, Oliver S.; Marsh, Robert W.; Mulcahy, Mary F.; Polite, Blase N.; Shogan, Benjamin D.; Yang, Anthony D.; Merkow, Ryan P.; Surgery, School of MedicineCOVID-19 has resulted in significant disruptions in cancer care. The Illinois Cancer Collaborative (ILCC), a statewide multidisciplinary cancer collaborative, has developed expert recommendations for triage and management of colorectal cancer when disruptions occur in usual care. Such recommendations would be applicable to future outbreaks of COVID-19 or other large-scale disruptions in cancer care.Item Unbundling Bundles: Evaluating the Association of Individual Colorectal Surgical Site Infection Reduction Bundle Elements on Infection Rates in a Statewide Collaborative(Wolters Kluwer, 2022) Schlick, Cary Jo R.; Huang, Reiping; Brajcich, Brian C.; Halverson, Amy L.; Yang, Anthony D.; Kreutzer, Lindsey; Bilimoria, Karl Y.; McGee, Michael F.; Illinois Surgical Quality Improvement Collaborative; Surgery, School of MedicineBACKGROUND: Surgical site infection reduction bundles are effective but can be complex and resource intensive. Understanding which bundle elements are associated with reduced surgical site infections may guide concise bundle implementation. OBJECTIVE: To evaluate the association of individual surgical site infection reduction bundle elements with infection rates. DESIGN: Post-hoc analysis of a prospective cohort study SETTING: Illinois Surgical Quality Improvement Collaborative hospitals PATIENTS: Elective colorectal resections at participating hospitals from 2016–2017 INTERVENTIONS: 16-element colorectal surgical site infection reduction bundle MAIN OUTCOME MEASURES: Surgical site infection rates were compared among patients by adherence with each bundle element using Chi-squared tests and multivariable logistic regression. Principal component analysis identified composites of correlated bundle elements. Coincidence analysis identified combinations of bundle elements or principal component composites associated with the absence of surgical site infection. RESULTS: Among 2,722 patients, 192 (7.1%) developed a surgical site infection. Infections were less likely when oral antibiotics (OR 0.63 [95% CI 0.41–0.97]), wound protectors (OR 0.55 [95% CI 0.37–0.81]), and occlusive dressings (OR 0.71 [95% CI 0.51–1.00]) were used. Bundle elements were reduced into 5 principal component composites. Adherence with the combination of (1) oral antibiotics, (2) wound protector, or (3) redosing intravenous antibiotic prophylaxis plus chlorhexidine-alcohol intraoperative skin preparation were associated with the absence of infection (consistency=0.94, coverage=0.96). Four of the five principal component composites in various combinations were associated with the absence of surgical site infection, while the composite consisting of occlusive dressing placement, postoperative dressing removal, and daily postoperative chlorhexidine incisional cleansing had no association with the outcome. LIMITATIONS: The inclusion of hospitals engaged in quality improvement initiatives may limit the generalizability of these data. CONCLUSION: Bundle elements had varying association with infection reduction. Implementation of colorectal surgical site infection reduction bundles should focus on the specific elements associated with low surgical site infections. See Video Abstract at http://links.lww.com/DCR/Bxxx.