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Background/Purpose Medicare’s Hospital Readmission Reduction Program disproportionately penalizes safety-net hospitals (SNH) caring for vulnerable populations. This study assessed the association of insurance type with 30-day emergency department visits/observation stays (EDOS), readmissions, and cumulative costs in colorectal surgery patients. Methods Retrospective inpatient cohort study using the National Surgical Quality Improvement Program (2013–2019) with cost data in a SNH. The odds of EDOS and readmissions and cumulative variable (index hospitalization and all 30-day EDOS and readmissions) costs were modeled adjusting for frailty, case status, presence of a stoma, and open versus laparoscopic surgery. Results The cohort had 245 private, 195 Medicare, and 590 Medicaid/uninsured cases, with a mean age 55.0 years (SD = 13.3) and 52.9% of the cases were performed on male patients. Most cases were open surgeries (58.7%). Complication rates were 41.8%, EDOS 12.0%, and readmissions 20.1%. Medicaid/uninsured had increased odds of urgent/emergent surgeries (aOR = 2.15, CI = 1.56–2.98, p p = 0.042) versus private patients. Medicaid/uninsured versus private patients had higher EDOS (16.6% versus 4.1%) and readmissions (22.9% versus 14.3%) rates and higher odds of EDOS (aOR = 4.81, CI = 2.57–10.06, p p = 0.025), while Medicare patients had similar odds versus private. Cumulative variable cost %change was increased for Medicare and Medicaid/uninsured, but Medicaid/uninsured was similar to private after adjusting for urgent/emergent cases. Conclusions Increased urgent/emergent cases in Medicaid/uninsured populations drive increased complications odds and higher costs compared to private patients, suggesting lack of access to outpatient care. SNH care for higher cost populations, receive lower reimbursements, and are penalized by value-based programs. Increasing healthcare access for Medicaid/uninsured patients could reduce urgent/emergent surgeries, resulting in fewer complications, EDOS/readmissions, and costs.

BACKGROUND: The Unified Medical Language System (UMLS) maps relationships between and within >100 biomedical vocabularies, including Current Procedural Terminology (CPT) codes, creating a powerful knowledge resource which can accelerate clinical research. METHODS: We used synonymy and concepts relating hierarchical structure of CPT codes within the UMLS, (1) guiding surgical experts in expanding the Operative Stress Score (OSS) from 565 originally rated CPT codes to additional, 1,853 related procedures; (2) establishing validity of the association between the added OSS ratings and 30-day outcomes in VASQIP (2015–2018). RESULTS: The UMLS Metathesaurus and Semantic Network was converted into an interactive graph database (https://github.com/dbmi-pitt/UMLS-Graph) delineating ontology relatedness. From this UMLS-graph, the CPT hierarchy was queried obtaining all paths from each code to the hierarchical apex. Of 1,853 added ratings, 43% and 76% were siblings and cousins of original OSS CPT codes. Of 857,577 VASQIP cases (mean age, 64±11years; 91% male; 75% white), 786,122 (92%) and 71,455 (8%) were rated in the original and added OSS. Compared to original, added OSS cases included more females (14% vs 9%) and frail patients (25% vs 19%) undergoing high stress procedures (11% vs 8%; all P

Basic foundations of artificial intelligence (AI) include analyzing large amounts of data, recognizing patterns, and predicting outcomes. At the core of AI are well defined areas such as machine learning, natural language processing, artificial neural networks, and computer vision. While research and development of AI in healthcare is being conducted in many medical subspecialties, only few applications have been implemented in clinical practice. This is true in Vascular Surgery where applications are mostly in the translational research stage. These AI applications are being evaluated in the realms of vascular diagnostics, perioperative medicine, risk stratification, and outcome prediction, among others. Apart from the technical challenges of AI and research outcomes on safe and beneficial use in patient care, ethical issues and policy surrounding AI will present future challenges for its successful implementation. This review will give a brief overview and a basic understanding of AI and summarize the currently available and used clinical AI applications in Vascular Surgery.

Recent legislation facilitates veterans' ability to receive non-Veterans Affairs (VA) surgical care. However, contemporary data comparing the quality and safety of VA and non-VA surgical care are lacking.To compare perioperative outcomes among veterans treated in VA hospitals with patients treated in private-sector hospitals.This cohort study took place across 8 noncardiac specialties in the Veterans Affairs Surgical Quality Improvement Program (VASQIP) and American College of Surgeons National Surgical Quality Improvement Program (NSQIP) from January 1, 2015, through December 31, 2018. Multivariable log-binomial modeling was used to evaluate the association between VA vs private sector care settings and 30-day mortality. Unmeasured confounding was quantified using the E-value. Patients 18 years and older undergoing a noncardiac procedures were included.Surgical care in either a VA or private sector setting.Primary outcome was 30-day postoperative mortality. Secondary outcome was failure to rescue, defined as a postoperative death after a complication.Of 3 910 752 operations (3 174 274 from NSQIP and 736 477 from VASQIP), 1 498 984 (92.1%) participants in NSQIP were male vs 678 382 (47.2%) in VASQIP (mean difference, -0.449 [95% CI, -0.450 to -0.448]; P .001), and 441 894 (60.0%) participants in VASQIP were frail or very frail vs 676 525 (21.3%) in NSQIP (mean difference, -0.387 [95% CI, -0.388 to -0.386]; P .001). Overall, rates of 30-day mortality, complications, and failure to rescue were 0.8%, 9.5%, and 4.7%, respectively, in NSQIP (n = 3 174 274 operations) and 1.1%, 17.1%, and 6.7%, respectively in VASQIP (736 477) (differences in proportions, -0.003 [95% CI, -0.003 to -0.002]; -0.076 [95% CI, -0.077 to -0.075]; 0.020 [95% CI, 0.018-0.021], respectively; P .001). Compared with private sector care, VA surgical care was associated with a lower risk of perioperative death (adjusted relative risk, 0.59 [95% CI, 0.47-0.75]; P .001). This finding was robust in multiple sensitivity analyses performed, including among patients who were frail and nonfrail, with or without complications, and undergoing low and high physiologic stress procedures. These findings were also consistent when year was included as a covariate and in nonparsimonious modeling for patient-level factors. Compared with private sector care, VA surgical care was also associated with a lower risk of failure to rescue (adjusted relative risk, 0.55 [95% CI, 0.44-0.68]). An unmeasured confounder (present disproportionately in NSQIP data) would require a relative risk of 2.78 [95% CI, 2.04-3.68] to obviate the main finding.VA surgical care is associated with lower perioperative mortality and decreased failure to rescue despite veterans having higher-risk characteristics. Given the unique needs and composition of the veteran population, health policy decisions and budgetary appropriations should reflect these important differences.

INTRODUCTION: Yentl syndrome describing sex-related disparities has been extensively studied in medical conditions but not after surgery. This retrospective cohort study assessed the association of sex, frailty, presenting with preoperative acute serious conditions (PASC), and the expanded Operative Stress Score (OSS) with postoperative complications, mortality, and failure-to-rescue. METHODS: The National Surgical Quality Improvement Program from 2015 to 2019 evaluating 30-d complications, mortality, and failure-to-rescue. RESULTS: Of 4,860,308 cases (43% were male; mean [standard deviation] age of 56 [17] y), 6.0 and 0.8% were frail and very frail, respectively. Frailty score distribution was higher in men versus women (P < 0.001). Most cases were low-stress OSS2 (44.9%) or moderate-stress OSS3 (44.5%) surgeries. While unadjusted 30-d mortality rates were higher (P < 0.001) in males (1.1%) versus females (0.8%), males had lower odds of mortality (adjusted odds ratio (aOR) = 0.92, 95% confidence interval [CI] = 0.90–0.94, P < 0.001) after adjusting for frailty, OSS, case status, PASC, and Clavien-Dindo IV (CDIV) complications. Males have higher odds of PASC (aOR = 1.33, CI = 1.31–1.35, P < 0.001) and CDIV complications (aOR = 1.13, CI = 1.12–1.15, P < 0.001). Male-PASC (aOR = 0.76, CI = 0.72–0.80, P < 0.001) and male-CDIV (aOR = 0.87, CI = 0.83–0.91, P < 0.001) interaction terms demonstrated that the increased odds of mortality associated with PASC or CDIV complications/failure-to-rescue were lower in males versus females. CONCLUSIONS: Our study provides a comprehensive analysis of sex-related surgical outcomes across a wide range of procedures and health care systems. Females presenting with PASC or experiencing CDIV complications had higher odds of mortality/failure to rescue suggesting sex-related care differences. Yentl syndrome may be present in surgical patients; possibly related to differences in presenting symptoms, patient care preferences, or less aggressive care in female patients and deserves further study.

The high number of limb injuries among Post-9/11 Veterans and their long-term care pose significant challenges to clinicians. Current follow-up for extremity arterial vascular injury (EVI) is based on guideline-concordant care for treatment of peripheral vascular disease (GCC-PVD), including anticoagulant/antiplatelet or statin therapy and duplex ultrasound. No best practices exist for arterial EVI. Our goal was to determine correlates of GCC-PVD and other care among Post-9/11 Veterans with combat-related arterial EVI.We identified Post-9/11 Veterans with arterial EVI who underwent initial limb salvage repair or ligation (e.g., for single-vessel injury) attempt per DoD Trauma Registry validated by chart abstraction. Veterans Health Administration (VHA) data characterized the cohort in the first five years of VHA care. Models predicted (a) GCC-PVD, (b) pain clinic use, (c) mental/behavioral health care, (d) long-term opioid use, and (e) time to complication, controlling for injury severity and type, mental health parameters, and demographics.The 490-Veteran cohort with validated arterial injury was 77% White averaging 25.2 years at injury (range: 18-56). Mechanism of injury was primarily explosive (63%). Veterans had Injury Severity Scores classified as mild (60%), moderate (25%) and severe (15%). Approximately 25% received at least one component of VHA GCC-PVD including 8% arterial ultrasounds, 5% statins, and 11% anticoagulants/antiplatelets; 77% had mental/behavioral healthcare. GCC-PVD, as well as PTSD and substance use disorders, were associated with receipt of mental/behavioral health care. Complications affected 46% of the cohort and were more common among those prescribed 90+ days of opioids or receiving GCC-PVD.Despite injury severity (40% moderate/severe), only 25% of cohort patients received VHA GCC-PVD, and nearly half had complications from their arterial injury. Receiving GCC-PVD appeared to potentiate receiving care for mental and behavioral disorders.The treatment gap in Veterans with arterial EVI may be due to lack of appropriate guidelines, lack of vascular specialists in VHA or accessing care outside the VHA. Focused study of care options and their outcomes will help define optimal care processes for combat Veterans with arterial EVI.

BACKGROUND: Risk-adjustment for reimbursement and quality measures omits social risk factors despite adversely affecting health outcomes. Social risk factors are not usually available in electronic health records (EHR) or administrative data. Socioeconomic status can be assessed by using United States Census data. Distressed Communities Index (DCI) is based upon zip codes and the Area Deprivation Index (ADI) provides more granular estimates at the block group level. We examined the association of neighborhood disadvantage using the ADI, DCI and patient-level insurance status on 30-day readmission risk after colorectal surgery. METHODS: Our 677 patient cohort was derived from the 2013–2017 National Surgical Quality Improvement Program at a safety net hospital augmented with EHR data to determine insurance status and 30-day readmissions. Patients’ home addresses were linked to the ADI and DCI. RESULTS: Our cohort consisted of 53.9% males and 63.8% Hispanics with a 22.9% 30-day readmission rate from the date of discharge; >50% lived in highly deprived neighborhoods. Controlling for medical comorbidities and complications, ADI was associated with increased risk of 30-day from the date of discharge readmissions among patients living in medium (OR = 2.15, p= .02) or high (OR = 1.88, p= .03) deprived areas compared to less deprived neighborhoods; but not insurance status or DCI. CONCLUSIONS: The ADI identified patients living in deprived communities with increased readmission risk. Our results show that block-group level ADI can potentially be used in risk-adjustment, to identify high-risk patients and to design better care pathways that improve health outcomes.

Emerging data science techniques of predictive analytics expand the quality and quantity of complex data relevant to human health and provide opportunities for understanding and control of conditions such as heart, lung, blood, and sleep disorders. To realize these opportunities, the information sources, the data science tools that use the information, and the application of resulting analytics to health and health care issues will require implementation research methods to define benefits, harms, reach, and sustainability; and to understand related resource utilization implications to inform policymakers. This JACC State-of-the-Art Review is based on a workshop convened by the National Heart, Lung, and Blood Institute to explore predictive analytics in the context of implementation science. It highlights precision medicine and precision public health as complementary and compelling applications of predictive analytics, and addresses future research and training endeavors that might further foster the application of predictive analytics in clinical medicine and public health.

The detection and elective repair of abdominal aortic aneurysms (AAA) guided by known risk-factor specific screening decrease AAA-related mortality. However, minimal epidemiologic data exist for AAA in female persons and racial minority groups. We established the contemporary risk of US AAA hospitalization across age, sex, and race.National Inpatient Sample and US Census (2012-2018) data were used to quantify age-, sex-, and race-specific incidences and adjusted odds ratios (aOR) of AAA hospitalizations (≥18 years), associated risk factors, and in-hospital mortality. Interaction terms evaluated subgroups.Among 1,728,374,183 US residents during the study period (51.3% female; 78.4% White, 12.7% Black, 5.7% Asian), 211,501,703 were hospitalized (aged 57.56 ± 0.04 years; 58.4% female; 64.9% White, 14.3% Black, 2.5% Asian) of which 291,850 were for AAA (aged 73.17 ± 0.04 years; 22.6% female; 81.8% White, 5.6% Black, 1.6% Asian). An estimated 15.2 (95% CI, 15.1-15.3) and 1.7 (95% CI, 1.7-1.7) hospitalizations per 100,000 residents were for intact AAA (iAAA) and ruptured AAA (rAAA) AAA, respectively. In addition, 16.2% of iAAA (83.8% male; 79.1% White) and 18.4% of rAAA (86.4% male; 75.0% White) hospitalizations occurred in patients less than 65 years of age. For iAAA, female sex (aOR, 0.27; 95% CI, 0.27-0.28) compared with male sex and both Black (0.47; 95% CI, 0.45-0.49) and Asian (0.86; 95% CI, 0.83-0.93) persons compared with White persons had a reduced aOR for hospitalization. For rAAA, the reduced aOR persisted for female sex (0.33; 95% CI, 0.32-0.36) and for Black persons (0.52; 95% CI, 0.46-0.58). Although female sex demonstrated an overall decreased odds of AAA hospitalization, female persons who were older, Black, or had peripheral vascular disease (PWe confirmed a substantially decreased adjusted risk of AAA hospitalization for females and racial minority groups; however, aging and comorbid peripheral vascular disease decreased these differences. The disparate risk of AAA hospitalization by sex and race highlights the importance of inclusivity in future AAA studies.

We analyzed differences (charges, total, and variable costs) in estimating cost savings of quality improvement projects using reduction of serious/life-threatening complications (Clavien-Dindo Level IV) and insurance type (Private, Medicare, and Medicaid/Uninsured) to evaluate the cost measures. Multiple measures are used to analyze hospital costs and compare cost outcomes across health systems with differing patient compositions. We used National Surgical Quality Improvement Program inpatient (2013-2019) with charge and cost data in a hospital serving diverse socioeconomic status patients. Simulation was used to estimate variable costs and total costs at 3 proportions of fixed costs (FC). Cases (Private 1517; Medicare 1224; Medicaid/Uninsured 3648) with patient mean age 52.3 years (Standard Deviation = 14.7) and 47.3% male. Medicare (adjusted odds ratio = 1.55, 95% confidence interval = 1.16-2.09, P = .003) and Medicaid/Uninsured (adjusted odds ratio = 1.41, 95% confidence interval = 1.10-1.82, P = .008) had higher odds of complications versus Private. Medicaid/Uninsured had higher relative charges versus Private, while Medicaid/Uninsured and Medicare had higher relative variable and total costs versus Private. Targeting a 15% reduction in serious complications for robust patients undergoing moderate-stress procedures estimated variable cost savings of $286,392. Total cost saving estimates progressively increased with increasing proportions of FC; $443,943 (35% FC), $577,495 (50% FC), and $1184,403 (75% FC). In conclusion, charges did not identify increased costs for Medicare versus Private patients. Complications were associated with 200% change in costs. Surgical hospitalizations for Medicare and Medicaid/Uninsured patients cost more than Private patients. Variable costs should be used to avoid overestimating potential cost savings of quality improvement interventions, as total costs include fixed costs that are difficult to change in the short term.

Introduction: Established predominantly among White males, early detection of abdominal aortic aneurysms (AAA) with risk-factor guided screening decreases AAA-related mortality. Minimal epidemiologic data exists for AAA in racial and sex minority groups despite having increased morbidity and mortality following repair. Methods: Using data from the National Inpatient Sample and US Census (2012-18), we quantified age, race, and sex-specific incidences of intact and ruptured AAA (iAAA, rAAA) hospitalizations, associated risk factors, and in-hospital mortality. Adjusted odds ratios (OR) quantified AAA hospitalization and mortality risks. Interaction terms evaluated subgroups. Results: Of 1,728,374,183 US residents (78% White, 13% Black, 6% Asian; 51% female), 211,501,703 were hospitalized (65% White, 14% Black, 3% Asian; 58% female) with 291,850 for AAA (82% White, 6% Black, 2% Asian; 23% female). AAA hospitalizations were highest for Whites and males ( Fig ). For iAAA, compared to Whites, Blacks (OR 0.5 [95%CI 0.4-0.5]) and Asians (OR 0.9 [95%CI 0.8-0.9]) and compared to males, females (OR 0.3 [95%CI 0.3-0.3]) had reduced odds of hospitalization. For rAAA, reduced odds of hospitalization for Blacks (OR 0.5 [95%CI 0.5-0.6]) and females (OR 0.3 [95%CI 0.3-0.3]) persisted, but not for Asians (OR 1.0 [95%CI 0.8-1.2]). In subgroup analysis, associations between AAA hospitalizations, race and sex were smaller and closer to Whites and males for Black females and Blacks and females who were older or had peripheral vascular disease (PVD; P-interactions Conclusions: Black and Asian races and female sex were associated with substantial decrease while older age and PVD conferred increase in the contemporary incidence and odds of AAA hospitalizations. However, AAA screening guidelines do not include PVD or race-specific differences. Changes may be warranted.

BACKGROUND Preoperative vein mapping before arteriovenous fistula (AVF) or arteriovenous graft (AVG) placement has been debated as a possible method of improving hemodialysis access outcomes for patients. However, high-quality national studies that have addressed this relationship are lacking. Thus, we assessed the association of preoperative vein mapping with hemodialysis access configuration and outcomes. METHODS In the present cohort study, we analyzed all patients who had undergone AVF or AVG placement with data captured in the Vascular Quality Initiative hemodialysis access dataset from August 2011 to September 2019. The patients were stratified by whether they had undergone preoperative vein mapping. The primary (configuration) outcomes were access type (AVF vs AVG) and location (upper arm vs forearm). The secondary (longitudinal) outcomes were the successful initiation of hemodialysis, maintenance of secondary patency, and the need for reintervention 1 year after the index operation. RESULTS Overall, 85.6% of the 46,010 included patients had undergone preoperative vein mapping. Of the 46,010 patients, 76.1% and 23.9% had undergone AVF and AVG creation, respectively. AVF creation (77.6% vs 67.3%) and forearm location (54.6% vs 47.3%) were more frequent for the patients who had undergone preoperative vein mapping than for those who had not (P < .001). After adjusting for baseline differences between the groups, preoperative vein mapping was associated with increased odds of receiving an AVF vs AVG (adjusted odds ratio, 1.64; 95% confidence interval [CI], 1.55-1.75) and forearm vs upper arm access (adjusted odds ratio, 1.22; 95% CI, 1.16-1.30). The incidence of the loss of secondary patency was lower for patients with preoperative vein mapping (P < .001), and persisted after risk adjustment (adjusted hazard ratio, 0.81; 95% CI, 0.75-0.88). CONCLUSIONS Preoperative vein mapping was associated with favorable hemodialysis access configurations and outcomes in real-world practice. These data suggest that the use of preoperative vein mapping could improve the likelihood of favorable outcomes for patients requiring hemodialysis access.

Importance Smoking is a key modifiable risk factor in the development and progression of peripheral artery disease, which often manifests as intermittent claudication (IC). Smoking cessation is a first-line therapy for IC, yet a minority of patients quit smoking prior to elective revascularization. Objective To assess if preprocedural smoking is associated with an increased risk of early postprocedural complications following elective open and endovascular revascularization. Design, Setting, and Participants This retrospective cohort study used nearest-neighbor (1:1) propensity score matching of 2011 to 2019 data from the Veterans Affairs Surgical Quality Improvement Program, including all cases with a primary diagnosis of IC and excluding emergent cases, primary procedures that were not lower extremity revascularization, and patients with chronic limb-threatening ischemia within 30 days of the intervention. All data were abstracted June 18, 2020, and analyzed from July 26, 2020, to June 30, 2021. Exposures Preprocedural cigarette smoking. Main Outcomes and Measures Any and organ system-specific (ie, wound, respiratory, thrombosis, kidney, cardiac, sepsis, and neurological) 30-day complications and mortality, overall and in prespecified subgroups. Results Of 14 350 included cases of revascularization, 14 090 patients (98.2%) were male, and the mean (SD) age was 65.7 (7.0) years. A total of 7820 patients (54.5%) were smoking within the preprocedural year. There were a total of 4417 endovascular revascularizations (30.8%), 4319 hybrid revascularizations (30.1%), and 5614 open revascularizations (39.1%). A total of 1594 patients (11.1%) had complications, and 57 (0.4%) died. Among 7710 propensity score-matched cases (including 3855 smokers and 3855 nonsmokers), 484 smokers (12.6%) and 34 nonsmokers (8.9%) experienced complications, an absolute risk difference (ARD) of 3.68% (95% CI, 2.31-5.06; P

Artificial intelligence (AI) is transforming many domains, including finance, agriculture, defense, and biomedicine. In this paper, we focus on the role of AI in clinical and translational research (CTR), including preclinical research (T1), clinical research (T2), clinical implementation (T3), and public (or population) health (T4). Given the rapid evolution of AI in CTR, we present three complementary perspectives: (1) scoping literature review, (2) survey, and (3) analysis of federally funded projects. For each CTR phase, we addressed challenges, successes, failures, and opportunities for AI. We surveyed Clinical and Translational Science Award (CTSA) hubs regarding AI projects at their institutions. Nineteen of 63 CTSA hubs (30%) responded to the survey. The most common funding source (48.5%) was the federal government. The most common translational phase was T2 (clinical research, 40.2%). Clinicians were the intended users in 44.6% of projects and researchers in 32.3% of projects. The most common computational approaches were supervised machine learning (38.6%) and deep learning (34.2%). The number of projects steadily increased from 2012 to 2020. Finally, we analyzed 2604 AI projects at CTSA hubs using the National Institutes of Health Research Portfolio Online Reporting Tools (RePORTER) database for 2011–2019. We mapped available abstracts to medical subject headings and found that nervous system (16.3%) and mental disorders (16.2) were the most common topics addressed. From a computational perspective, big data (32.3%) and deep learning (30.0%) were most common. This work represents a snapshot in time of the role of AI in the CTSA program.

Objective Assess the relationships between case total work relative value units (wRVU), patient frailty, and the physiologic stress of surgical interventions. Summary of background data Surgeon reimbursement is frequently apportioned by wRVU. These subjective, procedure-specific valuations generated by physician survey estimate the intensity and time for typical patient care services. We hypothesized wRVU would not adequately account for patient-specific factors, such as frailty, that modify the required physician work, regardless of procedural complexity. Methods Using National and Veterans Affairs Surgical Quality Improvement Programs (2015-2018), we evaluated the correlation between case total wRVU, patient frailty (risk analysis index) and physiologic surgical stress (operative stress score). Results Of 4,111,371 (86%) cases, the correlation between total wRVU and operative stress was moderate [ρs = 0.587 (95% confidence interval, 0.586-0.587)], but negligible with frailty ρ = 0.177 (95% confidence interval, 0.176-0.178)]. Very high operative stress procedures [n = 34,047 (1%)] generated a mean total wRVU of 55.1 (standard deviation, 12.9), comprising 7%, 2%, and 1% of thoracic, vascular, and general surgical cases, respectively. Very frail patients [n = 152,535 (4%)] accounted for 9% of thoracic, 9% of vascular, 4% of general, 5% of urologic, and 4% of neurologic surgical cases, generating 21.0 (standard deviation, 12.4) mean total wRVU. Some nonfrail patients undergoing low operative stress procedures [n = 60,128 (2%)] nonetheless generated the highest quintile wRVU; these comprised >15% of plastic, gynecologic, and urologic surgical cases. Conclusions Surgeon reimbursement correlates with operative stress but not patient frailty. The total wRVU does not adequately reflect patient-specific factors that increase the physician workload required to render optimal care to complex patients.

OBJECTIVE Expand Operative Stress Score (OSS) increasing procedural coverage and assessing OSS and frailty association with Preoperative Acute Serious Conditions (PASC), complications and mortality in females versus males. SUMMARY BACKGROUND DATA Veterans Affairs male-dominated study showed high mortality in frail veterans even after very low stress surgeries (OSS1). METHODS Retrospective cohort using NSQIP data (2013-2019) merged with 180-day postoperative mortality from multiple hospitals to evaluate PASC, 30-day complications and 30-, 90- and 180-day mortality. RESULTS OSS expansion resulted in 98.2% case coverage versus 87.0% using the original. Of 82,269 patients (43.8% male), 7.9% were frail/very frail. Males had higher odds of PASC (aOR = 1.31, 95%CI = 1.21-1.41, P

OBJECTIVES: The creation and maintenance of durable hemodialysis access is critically important for reducing patient morbidity and controlling overall costs within health systems. Our objective was to quantify the costs associated with hemodialysis access creation and its maintenance over time within a rate-controlled health system where charges equate to payments. METHODS: The Maryland Health Services Cost Review Commission administrative claims database was used to identify patients who underwent first-time access creation from 2012–2020. Patients were identified using CPT codes for access creation, and costs were accrued for the initial encounter and all subsequent outpatient access-related encounters. T-tests and Wilcoxon tests were used to compare reinterventions and access-related costs ($USD) between arteriovenous fistulae (AVF) and arteriovenous grafts (AVG). Multivariable modeling was used to quantify the association of access type with charge variation. RESULTS: Overall, 12,716 patients underwent first-time access creation (69.3% AVF vs. 30.7% AVG). There was no difference in freedom from reintervention between the two access types at any point following creation (HR: 1.03, 95%CI: 0.97–1.10); however, AVF were associated with a lower number of cumulative reinterventions (1.50 vs. 2.24) compared to AVG (P

BackgroundExtremity vascular injury (EVI) causes significant disability in Veterans of the Afghanistan/Iraq conflicts. Advancements in acute trauma care improved survival and decreased amputations. The study of wartime EVI has relied on successful limb salvage as a surrogate for vascular repair. We used imaging studies as a specific measure of arterial repair durability.MethodsService members with EVI were identified using the Department of Defense Trauma Registry and validated by chart abstraction. Inclusion criteria for the arterial patency subgroup included an initial repair attempt with subsequent imaging reports (duplex ultrasound, CT angiography, and angiogram) documenting initial patency.ResultsThe cohort of 527 included 140 Veterans with available imaging studies for 143 arterial repairs; median follow-up from injury time to last available imaging study was 19 months (Q1–Q3: 3–58; range: 1–175). Injury mechanism was predominantly explosions (52%) and gunshot wounds (42%). Of the 143 arterial repairs, 81% were vein grafts. Eight repairs were occluded, replaced or included in extremity amputations. One upper extremity and three transtibial late amputations were performed for chronic pain and poor function averaging 27 months (SD: 4; range: 24–32). Kaplan-Meier analysis estimated patency rates of 99%, 97%, 95%, 91% and 91% at 3, 6, 12, 24, and 36 months, respectively, with similar results for upper and lower extremity repairs. Explosive and gunshot wound injury mechanisms had similar patency rates and upper extremity injuries repaired with vein grafts had increased patency.ConclusionsArterial repair mid-term patency in combat-related extremity injuries is excellent based on imaging studies for 143 repairs. Assertive attempts at acute limb salvage and vascular repair are justified with decisions for amputation versus limb salvage based on the overall condition of the patient and degree of concomitant nerve, orthopedic and soft tissue injuries rather than the presence of arterial injuries.Level of evidenceTherapeutic/care management, level IV.

Background Combat-related extremity vascular injuries (EVI) have long-lasting impact on Iraq/Afghanistan veterans. The purpose of this study is to describe long-term functional outcomes in veterans with EVI using survey measures and identify modifiable factors that may be improved to reduce chronic pain and injury-related dysfunction. Methods Veterans with upper and lower EVI undergoing an initial limb salvage attempt were identified using the Department of Defense Trauma Registry and validated with chart abstraction. Surveys measured pain; Short Musculoskeletal Function Assessment (SMFA) for self-reported bother and dysfunction; and Veterans RAND 12-Item Health Survey (VR-12) physical and mental component scores (PCS; MCS) for quality of life, depression, post-traumatic stress disorder, and the potentially modifiable factors of reintegration into civilian life, resilient coping, resilience, and family functioning. Results Eighty-one patients responded with an average time since injury of 129 months (SD: 31; range 67–180 months). Mechanism of injury included 64% explosions and 31% gunshot wounds; 16% of the respondents were diagnosed with moderate/severe/penetrating traumatic brain injury. Limb salvage rates were 100% and 77% for upper and lower extremities, respectively (P = 0.004). Respondents screened positive for probable depression (55%) and post-traumatic stress disorder (51%). Compared with population norms, SMFA bother and dysfunction indices were higher (worse), MCS was lower (worse), and PCS was similar. The multivariable models adjusted for age, marital status and pain. The higher SMFA is part of the results of the multivariable models. MCS decreased with difficulty reintegrating into civilian life and was positively correlated with increased resilience and resilient coping. SMFA scores were greater for patients with high pain intensity and increased 6–11 points per point increase in difficulty with civilian-life reintegration. SMFA dysfunction was associated with better family functioning. Conclusions EVI results in significant long-term disability with lasting deficits in physical function, frequent depressive symptoms, and below average self-reported quality of life. Strengthening modifiable factors including resiliency and resilient coping, and providing ongoing assistance to improve reintegration into civilian life, may ameliorate the functional disabilities and chronic pain experienced by veterans with EVI.

Emerging data science techniques of predictive analytics expand the quality and quantity of complex data relevant to human health and provide opportunities for understanding and control of conditions such as heart, lung, blood, and sleep disorders. To realize these opportunities, the information sources, the data science tools that use the information, and the application of resulting analytics to health and health care issues will require implementation research methods to define benefits, harms, reach, and sustainability; and to understand related resource utilization implications to inform policymakers. This JACC State-of-the-Art Review is based on a workshop convened by the National Heart, Lung, and Blood Institute to explore predictive analytics in the context of implementation science. It highlights precision medicine and precision public health as complementary and compelling applications of predictive analytics, and addresses future research and training endeavors that might further foster the application of predictive analytics in clinical medicine and public health.

Each year our Clinical and Translational Science Award pilot projects program awards approximately $500,000 in translational pilot funding to advance health in South Texas. We identified needs to improve the timeliness, transparency, and efficiency of the review process by surveying applicants. Lean six sigma methodologies, following a “Define, Measure, Analyze, Improve, Control” approach, were used to streamline the pilot project application and review by identifying and removing bottlenecks from process flows. We evaluated the impact of our reorganized review process by surveying applicants and reviewers. Process mapping identified pilot project review as the main source of delay, leading to the implementation of a study section-style review mechanism. After one cycle, 90.3% of pilot applicants and 100% of reviewers were highly satisfied with the new processes and time to award notice was reduced by 2 months. All reviewers familiar with both review processes preferred the study section. We demonstrated how lean six sigma, a methodology not commonly applied in research administration, can be used to evaluate processes in translational science in academic health centers. Through our efforts, we were able to improve timeliness, transparency, and efficiency of the review process.

BackgroundMacrophages show versatile functions in innate immunity, infectious diseases, and progression of cancers and cardiovascular diseases. These versatile functions of macrophages are conducted by different macrophage phenotypes classified as classically activated macrophages and alternatively activated macrophages due to different stimuli in the complex in vivo cytokine environment. Dissecting the regulation of macrophage activations will have a significant impact on disease progression and therapeutic strategy. Mathematical modeling of macrophage activation can improve the understanding of this biological process through quantitative analysis and provide guidance to facilitate future experimental design. However, few results have been reported for a complete model of macrophage activation patterns.ResultsWe globally searched and reviewed literature for macrophage activation from PubMed databases and screened the published experimental results. Temporal in vitro macrophage cytokine expression profiles from published results were selected to establish Boolean network models for macrophage activation patterns in response to three different stimuli. A combination of modeling methods including clustering, binarization, linear programming (LP), Boolean function determination, and semi-tensor product was applied to establish Boolean networks to quantify three macrophage activation patterns. The structure of the networks was confirmed based on protein-protein-interaction databases, pathway databases, and published experimental results. Computational predictions of the network evolution were compared against real experimental results to validate the effectiveness of the Boolean network models.ConclusionThree macrophage activation core evolution maps were established based on the Boolean networks using Matlab. Cytokine signatures of macrophage activation patterns were identified, providing a possible determination of macrophage activations using extracellular cytokine measurements.

A previously published review focused on generic and disease-specific patient-reported outcome measures (PROMs) relevant to vascular surgery but limited to arterial conditions. The objective of this project was to identify all available PROMs relevant to diseases treated by vascular surgeons and to evaluate vascular surgeon perceptions, barriers to widespread implementation, and concerns regarding PROMs. We provide an overview of what a PROM is and how they are developed, and summarize currently available PROMs specific to vascular surgeons. We also report results from a survey of 78 Society for Vascular Surgery members serving on committees within the Policy and Advocacy Council addressing the barriers and facilitators to using PROMs in clinical practice. Finally, we report the qualitative results of two focus groups conducted to assess granular perceptions of PROMS and preparedness of vascular surgeons for widespread implementation of PROMs. These focus groups identified a lack of awareness of existing PROMs, knowledge of how PROMs are developed and validated, and clarity around how PROMs should be used by the clinician as main subthemes for barriers to PROM implementation in clinical practice.

Objectives To determine adherence to Choosing Wisely recommendations for using serum lipase to diagnose acute pancreatitis rather than amylase, avoiding concurrent amylase/lipase testing and avoiding serial measurements after the first elevated test as both are ineffective for tracking disease course. Methods Deidentified laboratory data from four large health systems were analyzed to determine concurrent testing rates, serial testing rates, and provider-ordering patterns. Results While most providers adhered to recommendations with 58,693 lipase-only tests ordered and performed, 86% of amylase tests were performed concurrently with lipase. Ambulatory, inpatient, and emergency department settings revealed concurrent rates of 51%, 41%, and 8%, respectively. Services with order sets containing both amylase and lipase were associated with higher rates of concurrent testing. Conclusions Concurrent amylase/lipase testing is an area of opportunity to improve compliance, especially in ambulatory settings. Revision of order sets and provider education could be interventions to reduce unnecessary testing and save costs.

Research service cores at academic health centers are important in driving translational advancements. Specifically, biostatistics and research design units provide services and training in data analytics, biostatistics, and study design. However, the increasing demand and complexity of assigning appropriate personnel to time-sensitive projects strains existing resources, potentially decreasing productivity and increasing costs. Improving processes for project initiation, assigning appropriate personnel, and tracking time-sensitive projects can eliminate bottlenecks and utilize resources more efficiently. In this case study, we describe our application of lean six sigma principles to our biostatistics unit to establish a systematic continual process improvement cycle for intake, allocation, and tracking of research design and data analysis projects. The define, measure, analyze, improve, and control methodology was used to guide the process improvement. Our goal was to assess and improve the efficiency and effectiveness of operations by objectively measuring outcomes, automating processes, and reducing bottlenecks. As a result, we developed a web-based dashboard application to capture, track, categorize, streamline, and automate project flow. Our workflow system resulted in improved transparency, efficiency, and workload allocation. Using the dashboard application, we reduced the average study intake time from 18 to 6 days, a 66.7% reduction over 12 months (January to December 2015).

Importance Frailty is an important risk factor for postoperative mortality. Whether the association between frailty and mortality is consistent across all surgical specialties, especially those predominantly performing lower stress procedures, remains unknown. Objective To examine the association between frailty and postoperative mortality across surgical specialties. Design, Setting, and Participants A cohort study was conducted across 9 noncardiac specialties in hospitals participating in the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) and Veterans Affairs Surgical Quality Improvement Program (VASQIP) from January 1, 2010, through December 31, 2014, using multivariable logistic regression to evaluate the association between frailty and postoperative mortality. Data analysis was conducted from September 15, 2019, to April 30, 2020. Patients 18 years or older undergoing noncardiac procedures were included. Exposures Risk Analysis Index measuring preoperative frailty categorized patients as robust (Risk Analysis Index ≤20), normal (21-29), frail (30-39), or very frail (≥40). Operative Stress Score (OSS) categorized procedures as low (1-2), moderate (3), and high (4-5) stress. Specialties were categorized by case-mix as predominantly low intensity (>75% OSS 1-2), moderate intensity (50%-75%), or high intensity ( Main Outcomes and Measures Thirty-day (both measures) and 180-day (VASQIP only) postoperative mortality. Results Of the patients evaluated in NSQIP (n = 2 339 031), 1 309 795 were women (56.0%) and mean (SD) age was 56.49 (16.4) years. Of the patients evaluated in VASQIP (n = 426 578), 395 761 (92.78%) were men and mean (SD) age was 61.1 (12.9) years. Overall, 30-day mortality was 1.2% in NSQIP and 1.0% in VASQIP, and 180-day mortality in VASQIP was 3.4%. Frailty and OSS distributions differed substantially across the 9 specialties. Patterns of 30-day mortality for frail and very frail patients were similar in NSQIP and VASQIP for low-, moderate-, and high-intensity specialties. Frailty was a consistent, independent risk factor for 30- and 180-day mortality across all specialties. For example, in NSQIP, for plastic surgery, a low-intensity specialty, the odds of 30-day mortality in very frail (adjusted odds ratio [aOR], 27.99; 95% CI, 14.67-53.39) and frail (aOR, 5.1; 95% CI, 3.03-8.58) patients were statistically significantly higher than for normal patients. This was also true in neurosurgery, a moderate-intensity specialty, for very frail (aOR, 9.8; 95% CI, 7.68-12.50) and frail (aOR, 4.18; 95% CI, 3.58-4.89) patients and in vascular surgery, a high-intensity specialty, for very frail (aOR, 10.85; 95% CI, 9.83-11.96) and frail (aOR, 3.42; 95% CI, 3.19-3.67) patients. Conclusions and Relevance In this study, frailty was associated with postoperative mortality across all noncardiac surgical specialties regardless of case-mix. Preoperative frailty assessment could be implemented across all specialties to facilitate risk stratification and shared decision-making.

This cohort study investigates whether preoperative patient frailty and operative stress are associated with postoperative mortality for patients undergoing elective vs emergent surgical procedures.

Importance Patients with frailty have higher risk for postoperative mortality and complications; however, most research has focused on small groups of high-risk procedures. The associations among frailty, operative stress, and mortality are poorly understood. Objective To assess the association between frailty and mortality at varying levels of operative stress as measured by the Operative Stress Score, a novel measure created for this study. Design, Setting, and Participants This retrospective cohort study included veterans in the Veterans Administration Surgical Quality Improvement Program from April 1, 2010, through March 31, 2014, who underwent a noncardiac surgical procedure at Veterans Health Administration Hospitals and had information available on vital status (whether the patient was alive or deceased) at 1 year postoperatively. A Delphi consensus method was used to stratify surgical procedures into 5 categories of physiologic stress. Exposures Frailty as measured by the Risk Analysis Index and operative stress as measured by the Operative Stress Score. Main Outcomes and Measures Postoperative mortality at 30, 90, and 180 days. Results Of 432 828 unique patients (401 453 males [92.8%]; mean (SD) age, 61.0 [12.9] years), 36 579 (8.5%) were frail and 9113 (2.1%) were very frail. The 30-day mortality rate among patients who were frail and underwent the lowest-stress surgical procedures (eg, cystoscopy) was 1.55% (95% CI, 1.20%-1.97%) and among patients with frailty who underwent the moderate-stress surgical procedures (eg, laparoscopic cholecystectomy) was 5.13% (95% CI, 4.79%-5.48%); these rates exceeded the 1% mortality rate often used to define high-risk surgery. Among patients who were very frail, 30-day mortality rates were higher after the lowest-stress surgical procedures (10.34%; 95% CI, 7.73%-13.48%) and after the moderate-stress surgical procedures (18.74%; 95% CI, 17.72%-19.80%). For patients who were frail and very frail, mortality continued to increase at 90 and 180 days, reaching 43.00% (95% CI, 41.69%-44.32%) for very frail patients at 180 days after moderate-stress surgical procedures. Conclusions and Relevance We developed a novel operative stress score to quantify physiologic stress for surgical procedures. Patients who were frail and very frail had high rates of postoperative mortality across all levels of the Operative Stress Score. These findings suggest that frailty screening should be applied universally because low- and moderate-stress procedures may be high risk among patients who are frail.

Objectives Choosing Wisely is a multidisciplinary effort to reduce unnecessary tests and procedures. Evidence-based guidelines advocate using serum lipase to diagnose acute pancreatitis; concurrent amylase and lipase tests provide minimal benefit compared to either alone. Serial measurements after the first elevated test are ineffective for tracking disease course. Our study determined the number of concurrent amylase/lipase tests and unnecessary serial tests to examine adherence to Choosing Wisely recommendations at four academic health systems. We also identified provider-ordering patterns and quantified the variable and total costs of unnecessary tests. Methods We analyzed deidentified laboratory data from four academic health systems in the Greater Plains Collaborative for all serum amylase and lipase tests from 2017, including results, timing, and patient-encounter location. We defined concurrent tests occurring within a 24-hour period and unnecessary serial inpatient measurements occurring after the first elevated result. Conclusion While the majority of providers adhered to Choosing Wisely recommendations obtaining 58,693 lipase-only tests, 85.8% of amylase tests were obtained in parallel with lipase (20,771 concurrent tests; amylase only, 3,447; total amylase tests, 24,218). Encounter location revealed concurrent rates of 43%, 32%, and 5% for ambulatory, inpatient, and emergency department settings, respectively. Ambulatory clinics from multiple services obtained concurrent tests, with Family Medicine obtaining 48%. Services with order sets containing both amylase and lipase were associated with higher rates of concurrent testing. Inpatient unnecessary serial testing resulted in 413 amylase and 1,266 lipase tests occurring in 33% and 31% of inpatient encounters for amylase and lipase, respectively. Unnecessary amylase and lipase tests resulted in $31,195 variable costs and in $86,297 total costs. Targeted education to clinicians/services ordering unnecessary amylase/lipase tests and revising order sets could decrease costs and improve quality of care by decreasing the volume and frequency of blood draws. Funded by UL1TR002645 and the Greater Plains Collaborative.

Skeletal muscle regeneration requires coordination between dynamic cellular populations and tissue microenvironments. Macrophages, recruited via CCR2, are essential for regeneration; however, the contribution of macrophages and the role of CCR2 on nonhematopoietic cells has not been defined. In addition, aging and sex interactions in regeneration and sarcopenia are unclear. Muscle regeneration was measured in young (3–6 mo), middle (11–15 mo), old (24–32 mo) male and female CCR2−/− mice. Whereas age-related muscle atrophy/sarcopenia was present, regenerated myofiber cross-sectional area (CSA) in CCR2−/− mice was comparably impaired across all ages and sexes, with increased adipocyte area compared with wild-type (WT) mice. CCR2−/− mice myofibers achieved approximately one third of baseline CSA even 84 d after injury. Regenerated CSA and clearance of necrotic tissue were dependent on bone marrow–derived cellular expression of CCR2. Myogenic progenitor cells isolated from WT and CCR2−/− mice exhibited comparable proliferation and differentiation capacity. The most striking cellular anomaly in injured muscle of CCR2−/− mice was markedly decreased macrophages, with a predominance of Ly6C− anti-inflammatory monocytes/macrophages. Ablation of proinflammatory TLR signaling did not affect muscle regeneration or resolution of necrosis. Of interest, many proinflammatory, proangiogenic, and chemotactic cytokines were markedly elevated in injured muscle of CCR2−/− relative to WT mice despite impairments in macrophage recruitment. Collectively, these results suggest that CCR2 on bone marrow–derived cells, likely macrophages, were essential to muscle regeneration independent of TLR signaling, aging, and sex. Decreased proinflammatory monocytes/macrophages actually promoted a proinflammatory microenvironment, which suggests that inflammaging was present in young CCR2−/− mice.