National Performance Data Registries

Background:Complication rates may be indicative of trauma center (TC) performance. The complication rates between Level 1 and 2 TCs at the national level are unknown. Our study aimed to determine the relationship between American College of Surgeons (ACS)-verified and state-designated TCs and complications.Study Design and Methods:This was a cohort review of the National Sample Program (NSP) from the National Trauma Data Bank, the world's largest validated trauma database. TCs were categorized by ACS or state Level 1 or 2. TCs not categorized as Level 1 or 2 were excluded. All 22 complications provided by the NSP were analyzed. Chi-squared analysis was used with statistical significance defined as P < 0.05.Results:Of the 94 TCs in the NSP, 67 had ACS and 80 had state designations of Level 1 or 2. There were 38 ACS Level 1 TCs treating 87,340 patients and 29 ACS Level 2 TCs treating 35,763. There were 45 state Level 1 TCs treating 106,640 and 35 state Level 2 TCs treating 43,290. ACS Level 1 TCs had significantly higher complications compared to ACS Level 2 TCs (13.5% [11,776/87,340] vs. 10.1% [3,606/35,763], P < 0.0001). In addition, state Level 1 TCs had significantly more complications compared to state Level 2 TCs (4.4% [4,681/106,640] vs. 1.6% [673/43,290], P < 0.0001).Conclusion:Both ACS and state Level 2 TCs had significantly lower complication rates than ACS and state Level 1 TCs. Further investigations should look for the source and impact of this difference.

Effect of American College of Surgeons Trauma Center Designation on Outcomes: Measurable Benefit at the Extremes of Age and Injury

To investigate the impact of obesity on postoperative morbidity and mortality in patients who underwent anterior cervical discectomy and fusion (ACDF). The American College of Surgeons' National Surgical Quality Improvement Project (NSQIP) files from 2006 to 2019 were queried for all patients who underwent an ACDF. Fisher exact tests were used in analyzing univariate differences in preoperative comorbidities and postoperative morbidity and mortality between patients with and without obesity (BMI ?30 kg/ m < sup > 2 < /sup > ). Results with a p value < 0.05 were considered statistically significant. Multivariable logistic regression models were used in determining the independent impact of obesity on ACDF postoperative morbidity and mortality. A p value < 0.017 was required for multivariate statistical significance. There were 96,882 patients who underwent an ACDF from 2006 to 2019 found. 53.77% had non-obese BMI. Patients had statistically significant differences in most perioperative comorbidities and postoperative outcomes on univariate analysis. On multivariate analysis, patients with obesity has decreased adjusted odds of wound infections (aOR=0.7208, CI 0.574-0.9075, p=0.0053), pulmonary events (aOR=0.7939, CI 0.6903-0.9129, p=0.0012), sepsis (aOR=0.5670, CI 0.4359-0.7374, p=2.32E-05), transfusion requirements (aOR=0.5396, CI 0.4498-0.6473, p=3.04E-11), return to operating room (aOR=0.7537, CI 0.6727-0.8447, p=1.17E-06), and length of stay > 10 days (aOR=0.7061, CI 0.6438-0.7744, p=1.49E-13). Obesity is a protective factor toward ACDF postoperative complications. Obesity as a marker of patient selection criteria for ACDF procedures should not be used by spine surgeons.

To assess how the widespread adoption of minimally invasive surgery in the United States is associated with changes in 30-day morbidity and mortality in endometrial cancer treatment. In this retrospective cohort study, the American College of Surgeons' National Surgical Quality Improvement Project database for 2008-2014 was reviewed for patients who had undergone surgery for endometrial cancer according to their primary Current Procedural Terminology (CPT) codes. Women with CPT codes for advanced cancer or with disseminated disease were excluded. A trend analysis across the time period by surgical approach (open surgery through laparotomy, vaginal surgery, and minimally invasive surgery) was performed using a Cochran-Armitage test for trend. Thirty-day surgical outcomes were compared between patients who had minimally invasive surgery and open surgery. Inverse probability of treatment weighting models were used to investigate the independent effect of minimally invasive surgery on 30-day outcomes. Overall, 12,283 patients met the inclusion criteria. A significant implementation of minimally invasive surgery (24.2-71.4%) and a concomitant decrease in open surgery through laparotomy (71.1-26.4%) were observed from 2008 to 2014 (both P<.001). Rate of vaginal surgery did not change over time (1.5-2.2%, P=.06). After adjusting for possible confounders, open surgery (compared with minimally invasive surgery) was independently associated with increased odds of major complications (n=347 versus n=274, adjusted odds ratio [OR] 2.4, 95% CI 2.0-2.8), readmission (n=269 versus n=238, adjusted OR 2.2, 95% CI 1.8-2.6), reoperation (n=80 versus n=93, adjusted OR 1.5, 95% CI 1.2-2.1), superficial surgical site infection (n=190 versus n=55, adjusted OR 6.8, 95% CI 5.0-9.2), perioperative transfusion (n=430 versus n=149, adjusted OR 5.9, 95% CI 4.8-7.1), and death (n=41 vs, n=20, adjusted OR 3.8, 95% CI 2.2-6.6). A comprehensive decrease in 30-day morbidity for the treatment of endometrial cancer overall was observed from 2008 to 2014 (P<.001), whereas 30-day mortality remained stable (P=.24). The widespread adoption of minimally invasive surgery is associated with substantial decreases in 30-day morbidity, readmission, and reoperation for women treated for endometrial cancer in the United States.

American College of Surgeons trauma centre designation and mechanical ventilation outcomes

Cardiac Surgery-Enhanced Recovery Programs Modified for COVID-19: Key Steps to Preserve Resources, Manage Caseload Backlog, and Improve Patient Outcomes

Comorbidity scales for outcome prediction in traumatic brain injury (TBI) include the 5-component modified Frailty Index (mFI-5), the 11-component modified Frailty Index (mFI-11), and the Charlson Comorbidity Index (CCI). To compare the accuracy in predicting clinical outcomes in TBI of mFI-5, mFI-11, and CCI. The National Trauma Data Bank (NTDB) of the American College of Surgeons (ACS) was utilized to study patients with isolated TBI for the years of 2017 and 2018. After controlling for age and injury severity, individual multivariable logistic regressions were conducted with each of the 3 scales (mFI-5, mFI-11, and CCI) against predefined outcomes, including any complication, home discharge, facility discharge, and mortality. All 3 scales demonstrated adequate internal consistency throughout their individual components (0.63 for mFI-5, 0.60 for CCI, and 0.56 for mFI-11). Almost all studied complications were significantly more likely in frail patients. mFI-5 and mFI-11 had similar areas under the curve (AUC) for all outcomes, while CCI had lower AUCs (0.62-0.61-0.53 for any complication, 0.72-0.72-0.52 for home discharge, 0.78-0.78-0.53 for facility discharge, and 0.71-0.70-0.52 for mortality, respectively). mFI-5 and mFI-11 demonstrated similar accuracy in predicting any complication, home discharge, facility discharge, and mortality in TBI patients across the NTDB. In addition, CCI's performance was poor for the aforementioned metrics. Since mFI-5 is simpler, yet as accurate as the 2 other scales, it may be the most practical both for clinical practice and for future studies with the NTDB.

IntroductionIn gynecologic patients, few studies describe the accuracy of the American College of Surgeons-National Surgical Quality Improvement Project (ACS-NSQIP) pre-operative risk calculator for women undergoing surgery for ovarian cancer.ObjectiveTo determine...

Detecting the blind spot: Complications in the trauma registry and trauma quality improvement

Early risk stratification of in hospital mortality following a ground level fall in geriatric patients with normal physiological parameters.

CORR Insights®: Institutional Experience and Orthoplastic Collaboration Associated with Improved Flap-based Limb Salvage Outcomes.

High-grade gliomas (HGGs) are among the rarest yet most aggressive tumor types in neurosurgical practice. In the current literature, few studies have assessed the drivers of early outcomes following resection of these tumors and investigated their association with quality of care. The authors aimed to identify the clinical predictors for 30-day readmission and reoperation following HGG surgery using the American College of Surgeons (ACS) National Surgical Quality Improvement Project (NSQIP) database and sought to create web-based applications predicting each outcome. Using the ACS NSQIP database, the authors conducted a retrospective, multicenter cohort analysis of patients who underwent resection of supratentorial HGGs between January 1, 2016, and December 31, 2020. Demographics and comorbidities were extracted. The primary outcomes were 30-day unplanned readmission and reoperation. A stratified 80:20 split of the available data was carried out. Supervised machine learning algorithms were trained to predict 30-day outcomes. A total of 9418 patients were included in our cohort. The observed rate of unplanned readmission within 30 days of surgery was 13.0% (n = 1221). In terms of predictors, weight, chronic steroid use, preoperative blood urea nitrogen level, and white blood cell count were associated with a higher risk of readmission. The observed rate of unplanned reoperation within 30 days of surgery was 5.2% (n = 489). In terms of predictors, increased weight, longer operative time, and more days between hospital admission and operation were associated with an increased risk of early reoperation. The random forest algorithm showed the highest predictive performance for early readmission (area under the curve [AUC] = 0.967), while the XGBoost algorithm showed the highest predictive performance for early reoperation (AUC = 0.985). Web-based tools for both outcomes were deployed (https://glioma-readmission.herokuapp.com/ and https://glioma-reoperation.herokuapp.com/). In this study, the authors provide the first nationwide analysis for short-term outcomes in patients undergoing resection of supratentorial HGGs. Multiple patient, hospital, and admission factors were associated with readmission and reoperation, confirmed by machine learning predicting patients' prognosis, leading to better planning preoperatively and subsequently improved personalized patient care.

Comparative assessment of in-hospital trauma mortality at a South African trauma center and matched patients treated in the United States

In 1994 the American Academy of Orthopaedic Surgeons established an outcomes initiative. The Musculoskeletal Outcomes Data Evaluation and Management System had two goals: (1) to create validated patient-based functional health questionnaires that would become the gold standard for musculoskeletal research, and (2) to collect data from practicing orthopaedists using these instruments. We assessed the adequacy of the hip and knee portion of the Musculoskeletal Outcomes Data Evaluation and Management System data collection process to learn how to improve these processes. Database elements included demographic and clinical information and health and well-being scales. Only 715 records or 578 patients of the initial 2419 records (30%) had complete baseline and followup information for either hip or knee replacement procedure. Only 17% of the patients who had a knee replacement and 20% of the patients who had a hip replacement returned for followup between 7 and 9 months. The Musculoskeletal Outcomes Data Evaluation and Management System achieved its goal regarding the development of validated questionnaires, but the data collection component did not. The project's implementation and management were flawed. This experience offers the field of orthopaedics valuable lessons that can be applied to future large-scale data collection efforts.

Risk Adjustment for Comparing Hospital Quality with Surgery: How Many Variables Are Needed?