Residents as Leaders: Using a Delphi Process to Conduct an Institutional Preoperative Patient Optimization Quality Improvement Initiative.

BACKGROUND: Many residency programs struggle to meet the ACGME requirement for resident participation in quality improvement initiatives. STUDY DESIGN: As part of an institutional quality improvement effort, trainees from the Departments of Surgery and Anesthesiology at a single academic medical center were teamed with institutional content experts in 7 key risk factor areas within preoperative patient optimization. A systematic review of each subject matter area was performed using the MEDLINE database. Institutional recommendations for the screening and management of each risk factor were developed and approved using modified Delphi consensus methodology. Upon project completion, an electronic survey was administered to all individuals who participated in the process to assess the perceived value of participation. RESULTS: Fifty-one perioperative stakeholders participated in recommendation development: 26 trainees and 25 content experts. Residents led 6 out of 7 groups specific to a subject area within preoperative optimization. A total of 4,649 abstracts were identified, of which 456 full-text articles were selected for inclusion in recommendation development. Seventeen out of 26 (65.4%) trainees completed the survey. The vast majority of trainees reported increased understanding of their preoperative optimization subject area (15/17 [88.2%]) as well as the Delphi consensus method (14/17 [82.4%]) after participation in the project. Fourteen out of 17 (82.4%) trainees stated that they would participate in a similar quality improvement initiative again. CONCLUSIONS: We demonstrate a novel way to involve trainees in an institutional quality initiative that served to educate trainees in quality improvement, the systematic review process, Delphi methodology, and preoperative optimization. This study provides a framework that other residency programs can use to engage residents in institutional quality improvement efforts.

Prediction of Prolonged Intensive Care Unit Length of Stay Following Cardiac Surgery.

Intensive care unit (ICU) costs comprise a significant proportion of the total inpatient charges for cardiac surgery. No reliable method for predicting intensive care unit length of stay following cardiac surgery exists, making appropriate staffing and resource allocation challenging. We sought to develop a predictive model to anticipate prolonged ICU length of stay (LOS). All patients undergoing coronary artery bypass grafting (CABG) and/or valve surgery with a Society of Thoracic Surgeons (STS) predicted risk score were evaluated from an institutional STS database. Models were developed using 2014-2017 data; validation used 2018-2019 data. Prolonged ICU LOS was defined as requiring ICU care for at least three days postoperatively. Predictive models were created using lasso regression and relative utility compared. A total of 3283 patients were included with 1669 (50.8%) undergoing isolated CABG. Overall, 32% of patients had prolonged ICU LOS. Patients with comorbid conditions including severe COPD (53% vs 29%, P < 0.001), recent pneumonia (46% vs 31%, P < 0.001), dialysis-dependent renal failure (57% vs 31%, P < 0.001) or reoperative status (41% vs 31%, P < 0.001) were more likely to experience prolonged ICU stays. A prediction model utilizing preoperative and intraoperative variables correctly predicted prolonged ICU stay 76% of the time. A preoperative variable-only model exhibited 74% prediction accuracy. Excellent prediction of prolonged ICU stay can be achieved using STS data. Moreover, there is limited loss of predictive ability when restricting models to preoperative variables. This novel model can be applied to aid patient counseling, resource allocation, and staff utilization.

Two Hours of In Vivo Lung Perfusion Improves Lung Function in Sepsis-Induced Acute Respiratory Distress Syndrome.

Sepsis is the leading cause of acute respiratory distress syndrome (ARDS) in adults and carries a high mortality. Utilizing a previously validated porcine model of sepsis-induced ARDS, we sought to refine our novel therapeutic technique of in vivo lung perfusion (IVLP). We hypothesized that 2 hours of IVLP would provide non-inferior lung rehabilitation compared to 4 hours of treatment. Adult swine (n = 8) received lipopolysaccharide to develop ARDS and were placed on central venoarterial extracorporeal membrane oxygenation. Animals were randomized to 2 vs 4 hours of IVLP. The left pulmonary vessels were cannulated to IVLP using antegrade Steen solution. After IVLP treatment, the left lung was decannulated and reperfused for 4 hours. Total lung compliance and pulmonary venous gases from the right lung (control) and left lung (treatment) were sampled hourly. Biochemical analysis of tissue and bronchioalveolar lavage was performed along with tissue histologic assessment. Throughout IVLP and reperfusion, treated left lung PaO2/FiO2 ratio was significantly higher than the right lung control in the 2-hour group (332.2 ± 58.9 vs 264.4 ± 46.5, P = 0.01). In the 4-hour group, there was no difference between treatment and control lung PaO2/FiO2 ratio (258.5 ± 72.4 vs 253.2 ± 90.3, P = 0.58). Wet-to-dry weight ratios demonstrated reduced edema in the treated left lungs of the 2-hour group (6.23 ± 0.73 vs 7.28 ± 0.61, P = 0.03). Total lung compliance was also significantly improved in the 2-hour group. Two hours of IVLP demonstrated superior lung function in this preclinical model of sepsis-induced ARDS. Clinical translation of IVLP may shorten duration of mechanical support and improve outcomes.

History of Serious Mental Illness Is a Predictor of Morbidity and Mortality in Cardiac Surgery.

BACKGROUND: Serious mental illness (SMI), defined as a mental disorder causing functional impairment, affects 9.8 million Americans. SMI correlates with earlier onset, more extensive cardiac disease, and reduced life expectancy by 25 years. The impact of SMI on patients undergoing cardiac surgery has not been extensively studied. We hypothesized that patients with SMI have worse cardiac surgery outcomes. METHODS: Using our institution's Society of Thoracic Surgeons database of 16,781 cardiac operations (2002-2017), a total of 1445 (8.7%) patients with SMI were identified and stratified into anxiety, mood disorders, and psychosis. The risk-adjusted impact on morbidity and mortality were evaluated using multivariable regression. RESULTS: Patients with SMI were more often female patients, were younger, and had more comorbid disease. SMI patients were more likely to have had previous cardiac surgery and require urgent or emergent procedures (both P < .05). Among specific SMI diagnoses, patients with psychosis had worse outcomes compared with the general population, with higher operative mortality (9.1% vs 4.2%; P = .001), major morbidity (30.4% vs 15.8%; P < .0001), and cost ($50,211 vs $38,820; P < .001). After multivariable risk adjustment, SMI and psychosis remained independently associated with composite mortality and major morbidity (odds ratio, 1.21; P = .012; and odds ratio, 1.68; P = .003, respectively). CONCLUSIONS: SMI is independently associated with morbidity and mortality after cardiac surgery. SMI patients, especially the subset with psychosis, are complicated, high-risk, and resource-consuming. Refined strategies to reduce postoperative complications and improve care coordination are necessary in this population.

Electronic Glycemic Management System and Endocrinology Service Improve Value in Cardiac Surgery.

BACKGROUND: Postoperative glycemic control improves cardiac surgery outcomes but insulin protocols are limited by complexity and inflexibility. We sought to evaluate the effect of implementing an electronic glycemic management system (eGMS) in conjunction with a cardiac surgery endocrinology consult service on glycemic control and outcomes after cardiac surgery. METHODS: All patients with a calculated preoperative risk of mortality who underwent cardiac surgery before and after implementation of an eGMS and an endocrinology consult service were identified. Glycemic control and surgical outcomes were compared using univariate analysis, and multivariate regression was used to model the risk-adjusted effects of the interventions on glycemic control, surgical outcomes, and resource utilization. The health care-related value added by the interventions was calculated by dividing risk-adjusted outcomes by total hospital costs. RESULTS: A total of 2612 patients were identified, with 1263 patients in the preimplementation cohort and 1349 in the postimplementation cohort. Multivariate regression demonstrated fewer postoperative hyperglycemic events (odds ratio [OR] 0.8, 95% CI, 0.65-0.99) after protocol implementation without an increase in hypoglycemic events (OR 0.96, 95% CI, 0.71-1.3). Average day-weighted mean glucose decreased from 144 to 138 mg/dL (P < .001). The improved glycemic control correlated with a risk-adjusted decrease in composite morbidity or mortality (OR 0.61, 95% CI, 0.47-0.79). Although hospital costs increased after implementation, the protocol increased health care-related value by 38%. CONCLUSION: Implementation of a protocol consisting of an eGMS paired with a cardiac surgery-specific endocrinology consult service was associated with improved glycemic control and reduced morbidity. Despite higher costs health care-related value increased as a result of eGMS implementation.

Outcomes of surgical mitral valve replacement: A benchmark to assess transcatheter technologies.

BACKGROUND: Clinical trials are underway to evaluate the safety and efficacy of transcatheter mitral valve replacement in intermediate and high surgical risk patients. We analyzed outcomes of surgical mitral valve replacement in a regional consortium to provide benchmark data for emerging alternative therapies. METHODS: All patients undergoing mitral replacement with a Society of Thoracic Surgeons predicted risk of mortality (STS PROM) in a regional consortium from 2001 to 2017 were analyzed. Patients with endocarditis were excluded. Patients were stratified by STS PROM into low (<4%), moderate (4%-8%), and high risk (>8%) cohorts. Mortality, postoperative complications, and resource utilization were evaluated for each group. RESULTS: A total of 1611 patients were analyzed including 927 (58%) low, 370 (23%) moderate, and 314 (20%) high-risk patients. The mean STS PROM was 2%, 5.6%, and 15.4% for each group. Mortality was adequately predicted for all groups while the most common complications included prolonged ventilation, reoperation, and renal failure. Higher risk patients had longer intensive care unit and hospital lengths of stay (2 vs. 3 vs. 5 days, p < .0001 and 7 vs. 8 vs. 10 days, p < .0001) and higher total hospital costs ($38,029 vs. $45,075 vs. $59,171 p < .0001). CONCLUSIONS: Mitral valve replacement is associated with acceptable morbidity and mortality, particularly for low and intermediate-risk patients. These outcomes also serve as a benchmark with which to compare forthcoming results of transcatheter mitral valve replacement trials.

Impact of tricuspid regurgitation with and without repair during aortic valve replacement.

BACKGROUND: Long-term outcomes of aortic valve replacement (AVR) are worse in patients with tricuspid regurgitation (TR), but the impact of concomitant tricuspid valve intervention remains unclear. The purpose of this study was to determine the effect of tricuspid intervention in patients with TR undergoing AVR. METHODS: Patients undergoing AVR in a regional Society of Thoracic Surgeons database (2001-2017) were stratified by severity of TR and whether or not they underwent concomitant tricuspid intervention. Operative morbidity and mortality were compared between the 2 groups. Further analysis was performed using propensity score-matched pairs. RESULTS: Among 17,483 patients undergoing AVR, 8984 (51%) had no TR, 7252 (41%) had mild TR, 1060 (6%) had moderate TR, and 187 (1%) had severe TR. Overall, more severe TR was associated with higher morbidity and mortality. Tricuspid intervention was performed in 104 patients (0.6%), including 0.2% of patients with mild TR, 2% of those with moderate TR, and 31% of those with severe TR. In the propensity score-matched analysis, there was not a statistically significant difference in operative mortality between the 2 groups (18% vs 9%; P = .16), but there was significantly higher composite major morbidity (51% vs 26%; P = .006) in the tricuspid intervention group compared with those without surgical TR correction. CONCLUSIONS: Increasing severity of TR is associated with higher rates of morbidity and mortality after AVR. Correction of TR at the time of surgical AVR is not associated with increased operative mortality and has been shown to improve long-term outcomes.

Prolonged Opioid Use Associated With Reduced Survival After Lung Cancer Resection.

BACKGROUND: Lung cancer remains the leading cause of cancer death worldwide and the search for modifiable risk factors to improve survival is ongoing. There is a growing appreciation for a biological relationship between opioids and lung cancer progression. Our goal was to evaluate the association between perioperative opioid use and long-term survival after lung cancer resection. METHODS: A retrospective analysis of 2006 to 2012 Surveillance, Epidemiology, and End Results Medicare datasets identified all patients undergoing pulmonary resection for non-small cell lung cancer stages I to III. Patients were stratified by filling opioid prescriptions only 30 days before or after surgery (standard group), filling opioid prescriptions greater than 30 days before surgery (chronic group), or filling opioid prescriptions greater than 90 days after surgery but not before surgery (prolonged group). Kaplan-Meier survival analysis compared each group; risk-adjusted survival analysis was performed using the Cox proportional hazards model. RESULTS: We identified 3273 patients, including 1385 in the standard group (42.3%), 1441 in the chronic group (44.0%), and 447 in the prolonged group (13.7%). Of previously opioid-naive patients, 447 of 1832 (24.4%) became new prolonged opioid users. Kaplan-Meier survival analysis illustrated lower overall and disease-specific survival in chronic and prolonged opioid groups (both P < .01). After risk adjustment, chronic (hazard ratio = 1.27; 95% confidence interval, 1.09-1.47; P < .01) and prolonged (hazard ratio = 1.42; 95% confidence interval, 1.17-1.73; P < .01) opioid use were independently associated with reduced long-term survival. CONCLUSIONS: Chronic and prolonged opioid use were independently associated with reduced long-term, disease-specific survival after lung cancer resection. These findings provide epidemiologic support for a biological relationship between opioid use and lung cancer progression.

Long-term Implications of Tracheostomy in Cardiac Surgery Patients: Decannulation and Mortality.

BACKGROUND: The long-term implications of tracheostomy in cardiac surgical patients are largely unknown. We sought to investigate outcomes including decannulation and long-term mortality in a population of post-cardiac surgery patients. METHODS: All patients undergoing cardiac surgery at a single institution between 1997 and 2016 were evaluated for postoperative tracheostomy placement, time to decannulation, and mortality. Patients were stratified by tracheostomy placement, as well as by successful decannulation for comparison. Kaplan-Meier analysis identified time to decannulation and mortality and a Fine-Gray's competing risk regression, accounting for mortality, identified predictors of time to decannulation. RESULTS: Of 14,600 total cardiac surgery patients, only 309 required tracheostomy. Patients with tracheostomy had high rates of perioperative comorbidities, including 60% with heart failure and 24% with postoperative stroke. Tracheostomy patients had high short-term and long-term mortality, with a median survival of 152 days, 1-year survival of 41%, and 5-year survival of 29.1%. Patients remained with tracheostomy in place for a median of 59 days, with a 1-year decannulation rate of 80% in living patients. Patients with older age (hazard ratio 0.98, P = .01), chronic lung disease (hazard ratio 0.66, P = .03), and preoperative or postoperative dialysis (hazard ratio 0.45, P < .01) were less likely to have their tracheostomy removed. CONCLUSIONS: Tracheostomy is associated with poor long-term survival of cardiac surgery patients. However, patients who do survive have a short duration of tracheostomy with almost all surviving patients eventually decannulated. This finding provides valuable information for pre-procedural counseling for these high-risk patients and their families.

Hospital Variability Drives Inconsistency in Antiplatelet Use After Coronary Bypass.

BACKGROUND: Continuation of dual antiplatelet therapy (DAPT) after coronary artery bypass grafting (CABG) after acute myocardial infarction is recommended by current guidelines. We sought to evaluate guideline adherence over time and factors associated with postoperative DAPT within a regional consortium. METHODS: Isolated CABG patients from 2011 to 2017 who had a myocardial infarction within 21 days prior to surgery were included. Patients were stratified by DAPT prescription at discharge and by time period, early (2011-2014) vs late (2015-2017). Hierarchical regressions were then performed to evaluate factors influencing DAPT use after CABG. RESULTS: A total of 7314 patients were included with an overall rate of DAPT utilization of 31.2% that increased from 29.6% in the early to 33.4% in the late era (P < .01). There was considerable variability in hospital rates of DAPT (range 9.5%-92.1%) and hospital level changes over time (26% increased, 11% decreased, and 63% remained stable). After adjustment for clinical factors, era was not associated with DAPT use but treating hospital remained significantly associated with DAPT use. Other clinical factors associated with increased DAPT utilization included off-pump surgery (odds ratio [OR] 4.48, P < .01) and prior percutaneous coronary intervention (OR 2.02, P < .01), and atrial fibrillation (OR 0.39, P < .01) was associated with decreased utilization. CONCLUSIONS: Dual antiplatelet use has increased between 2011 and 2017, driven primarily by evolving patient demographics. Significant hospital-level variability drives inconsistency in DAPT utilization. Efforts to promote DAPT use for patients treated with CABG after myocardial infarction in concordance with current guidelines should be targeted at the hospital level.

Outcomes of non-elective coronary artery bypass grafting performed on weekends.

OBJECTIVES: A weekend effect with increased mortality has previously been reported in surgical patients and those with acute myocardial infarction (MI). We hypothesized that a similar phenomenon may exist in coronary artery bypass grafting (CABG). METHODS: Patients undergoing non-elective isolated CABG (2011-2017) were included from a multicentre regional Society of Thoracic Surgeons database. Patients were stratified by weekend versus weekday operations and further analysed by specific day of the week. RESULTS: A total of 14 374 patients underwent urgent or emergency isolated CABG with 410 (2.9%) operated on over the weekend. Weekend operations were more often emergency (36.1% vs 5.0%, P < 0.001) and more likely to be in the setting of MI (70.0% vs 51.2%, P < 0.001). Cardiopulmonary bypass times were similar [91 min (71-114) vs 94 min (74-117), P = 0.0749] and the frequency of complete revascularization equivalent (83.4% vs 85.3%, P = 0.284) between weekend and weekday operations. In risk-adjusted analyses, there was no increased odds for mortality in patients operated on over the weekend [odds ratio (OR) 1.07, P = 0.811]; however, there was an increased odds of major morbidity (OR 1.37, P = 0.034). Furthermore, compared with Monday, morbidity increased as the operative day approached the weekend (Tuesday 0.98, P = 0.828; Wednesday 1.07, P = 0.469; Thursday 1.12, P = 0.229; Friday 1.19, P = 0.041; weekend 1.47, P = 0.014). CONCLUSIONS: While patients requiring surgery on the weekend are higher risk, there is no independent effect of weekend surgery on mortality. However, these patients are at increased risk for major morbidity, the causes of which require further investigation.

Risk Aversion in Cardiac Surgery: 15-Year Trends in a Statewide Analysis.

BACKGROUND: With a rising emphasis on public reporting, we hypothesized that select hospitals are becoming increasingly risk-averse by avoiding high-risk operations. Further, we evaluated the association between risk-averse practices, outcomes, and publicly reported quality measures. METHODS: Clinical data from 78,417 patients undergoing cardiac surgery (2002-2016) from a regional consortium was paired with publicly available reimbursement and quality data. High-risk surgery was defined as predicted risk of mortality ≥5%. Hospital risk aversion was defined as a significant decrease in both high-risk volume and proportion, with cases stratified by hospital risk aversion status for univariate analysis. RESULTS: The rate of high-risk cases decreased from 17.9% in 2002 to 12.6% in 2016. Significant risk aversion was seen in 39% of hospitals, which had a 59% decrease in high-risk volume vs a 16% decrease at non-risk-averse hospitals. In the last 5 years, declining high-risk cases at risk-averse hospitals were driven by fewer cases from transfers (19.2% vs 28.1%, P < .001) and the emergency department (17.6% vs 19.2%, P = .001). Only non-risk-averse hospitals had mortality rates lower than expected (risk-averse: 0.97 [95% confidence interval, 0.91-1.03], P = .30; non-risk-averse: 0.88 [95% confidence interval, 0.83-0.94], P = .001). There were no differences by risk aversion status in reported ratings or financial incentives (all P > .05). CONCLUSIONS: Over 60% of hospitals continue to operate on high-risk patients, with concentration of care driven by transfer patterns. These non-risk-averse hospitals are high-performing with better-than-expected outcomes, particularly in high-risk cases. Transparency and objectivity in reporting are essential to ensure continued access for these high-risk patients.

Current quality reporting methods are not adequate for salvage cardiac operations.

OBJECTIVES: Outcomes in cardiac surgery are benchmarked against national Society of Thoracic Surgeons (STS) data and include patients undergoing elective, urgent, emergent, and salvage operations. This practice relies on accurate risk adjustment to avoid risk-averse behavior. We hypothesize that the STS risk calculator does not adequately characterize the risk of salvage operations because of their heterogeneity and infrequent occurrence. METHODS: Data on all cardiac surgery patients with an STS predicted risk score (2002-2017) were extracted from a regional database of 19 cardiac surgery centers. Patients were stratified according to operative status for univariate analysis. Observed-to-expected (O:E) ratios for mortality and composite morbidity/mortality were calculated and compared among elective, urgent, emergent, and salvage patients. RESULTS: A total of 76,498 patients met inclusion criteria. The O:E mortality ratios for elective, urgent, and emergent cases were 0.96, 0.98, and 0.93, respectively (all P values > .05). However, mortality rate was significantly higher than expected for salvage patients (O:E ratio, 1.41; P = .04). Composite morbidity/mortality rate was lower than expected in elective (O:E ratio, 0.81; P = .0001) and urgent (O:E ratio, 0.93; P = .0001) cases but higher for emergent (O:E ratio, 1.13; P = .0006) and salvage (O:E ratio, 1.24; P = .01). O:E ratios for salvage mortality were highly variable among each of the 19 centers. CONCLUSIONS: The current STS risk models do not adequately predict outcomes for salvage cardiac surgery patients. On the basis of these results, we recommend more detailed reporting of salvage outcomes to avoid risk aversion in these potentially life-saving operations.

Impact of transfer status on real-world outcomes in nonelective cardiac surgery.

OBJECTIVE: Transfer from hospital to hospital for cardiac surgery represents a large portion of some clinical practices. Previous literature in other surgical fields has shown worse outcomes for transferred patients. We hypothesized that transferred patients would be higher risk and demonstrate worse outcomes than those admitted through the emergency department. METHODS: All patients undergoing cardiac operations with a Society of Thoracic Surgeons Predicted Risk of Mortality were evaluated from a multicenter, statewide Society of Thoracic Surgeons database. Only patients requiring admission before surgery were included. Patients were stratified by admission through the emergency department or in transfer. Transfers were further stratified by the cardiothoracic surgery capabilities at the referring center. RESULTS: A total of 13,094 patients met the inclusion criteria of admission before surgery. This included 7582 (57.9%) transfers, of which 502 (6.6%) were referred from cardiac centers. Compared with emergency department admissions, transfers had increased hospital costs despite lower operative risk (Predicted Risk of Mortality 1.5% vs 1.6%, P < .01) and equivalent postoperative morbidity (15.6% vs 15.3% P = .63). In risk-adjusted analysis, transfer status was not independently associated with worse outcomes. Patients transferred from centers that perform cardiac surgery are higher risk than general transfers (Predicted Risk of Mortality 2.5% vs 1.5, P < .01), but specialized care results in excellent risk-adjusted outcomes (observed/expected: mortality 0.81; morbidity or mortality 0.90). CONCLUSIONS: Transfer patients have similar rates of postoperative complications but increased resource use compared with patients admitted through the emergency department. Patients transferred from centers that perform cardiac surgery represent a particularly high-risk subgroup.

Reduced-flow ex vivo lung perfusion to rehabilitate lungs donated after circulatory death.

BACKGROUND: Current ex vivo lung perfusion (EVLP) protocols aim to achieve perfusion flows of 40% of cardiac output or more. We hypothesized that a lower target flow rate during EVLP would improve graft function and decrease inflammation of donation after circulatory death (DCD) lungs. METHODS: A porcine DCD and EVLP model was utilized. Two groups (n = 4 per group) of DCD lungs were randomized to target EVLP flows of 40% (high-flow) or 20% (low-flow) predicted cardiac output based on 100 ml/min/kg. At the completion of 4 hours of normothermic EVLP using Steen solution, left lung transplantation was performed, and lungs were monitored during 4 hours of reperfusion. RESULTS: After transplant, left lung-specific pulmonary vein partial pressure of oxygen was significantly higher in the low-flow group at 3 and 4 hours of reperfusion (3-hour: 496.0 ± 87.7 mm Hg vs. 252.7 ± 166.0 mm Hg, p = 0.017; 4-hour: 429.7 ± 93.6 mm Hg vs. 231.5 ± 178 mm Hg, p = 0.048). Compliance was significantly improved at 1 hour of reperfusion (20.8 ± 9.4 ml/cm H2O vs. 10.2 ± 3.5 ml/cm H2O, p = 0.022) and throughout all subsequent time points in the low-flow group. After reperfusion, lung wet-to-dry weight ratio (7.1 ± 0.7 vs. 8.8 ± 1.1, p = 0.040) and interleukin-1ß expression (927 ± 300 pg/ng protein vs. 2,070 ± 874 pg/ng protein, p = 0.048) were significantly reduced in the low-flow group. CONCLUSIONS: EVLP of DCD lungs with low-flow targets of 20% predicted cardiac output improves lung function, reduces edema, and attenuates inflammation after transplant. Therefore, EVLP for lung rehabilitation should use reduced flow rates of 20% predicted cardiac output.

Objective measure of learning curves for trainees in cardiac surgery via cumulative sum failure analysis.

OBJECTIVES: Objective measures of cardiac surgery trainee progress are limited despite a push for competency-based assessments. We hypothesized that the cumulative sum failure technique could provide a risk-adjusted, quantitative measure of resident learning curves and competence. METHODS: Records of all coronary artery bypass grafting and valve operations performed by cardiac-track residents from 2007 to 2017 at a single institution were stratified by operative resident. Multivariable regression evaluated the association among resident, case number, and postoperative outcomes. To evaluate performance over time, risk-adjusted cumulative sum failure analysis was performed, taking into account institutional expected values and comparing residents with study-defined "early alert" and "concern" boundaries. RESULTS: A total of 3937 Society of Thoracic Surgeons Predicted Risk of Mortality cases were evaluated from 19 residents. Observed-to-expected ratios for mortality and combined morbidity-mortality were 0.66 and 0.72, respectively, and each individual resident exhibited better than predicted outcomes (all observed:expected ratios <1). When evaluating cumulative sum failure learning curves, residents exhibited an initial slight increase in complications, followed by improvement and better than expected performance. The "early alert" boundary was crossed by 36.8% of residents at any point in training, with 94.7% of residents under this boundary at the end of training. The higher "concern" boundary was crossed by 2 residents (10.5%), although all residents ended their training below this boundary. CONCLUSIONS: Outcomes for trainee-performed cardiac surgery procedures were excellent, with no association between individual trainees and adverse events. Cumulative sum failure analysis based on postoperative outcomes is a potential tool for objective evaluation of resident proficiency.

Percutaneous Endoscopic Gastrostomy After Cardiac Surgery: A Temporary Measure in a High-Risk Cohort.

BACKGROUND: A subset of patients who undergo cardiac surgery require percutaneous endoscopic gastrostomy (PEG) tube for enteral access to receive nutritional support. There are limited data evaluating the outcomes of these patients and the duration of nutritional support required. METHODS: All cardiac surgery patients (1994 to 2017) were stratified by postoperative PEG requirement. Patients were excluded if they required preoperative nutritional support, began nutritional support more than 30 days postoperatively, or if the PEG was placed more than 90 days after the index cardiac operation. Kaplan-Meier survival analysis was used to estimate overall survival and time to PEG removal. A Fine-Gray competing risk model was constructed to determine factors impacting PEG removal. RESULTS: A total of 16,727 cardiac surgery patients were included, with 310 (1.9%) requiring PEG. The median time to PEG placement was 14.5 (interquartile range, 10 to 22) days with 1 (0.3%) PEG procedural mortality. One-year survival was 50.4% vs 91.8% in the general cardiac surgery population. A total of 113 patients had their PEG removed at a median of 255 days. Of living PEG patients at 1 year, 52.1% had their PEG removed. Factors that were associated with PEG removal were age (hazard ratio [HR], 0.98; P = .03), ejection fraction (HR, 1.03; P < .01), and renal failure (HR, 0.50; P < .01). CONCLUSIONS: Patients who require PEG after cardiac surgery are a high-risk cohort. However, those who survive their acute illness often recover to a point where nutrition can be maintained without a feeding tube. These data provide meaningful information for counseling patients and their families that are considering PEG after cardiac surgery.

Poor Performance Flagging Is Associated With Fewer Transplantations at Centers Flagged Multiple Times.

BACKGROUND: Lung transplantation outcomes are heavily scrutinized, given the high stakes of these operations, yet the Center for Medicare and Medicaid Services (CMS) method of using Scientific Registry of Transplant Recipients (SRTR) risk-adjusted outcomes to identify underperforming centers is controversial. We hypothesized that CMS flagging results in conservative behavior for recipient and organ selection, resulting in fewer patients added to the waitlist and fewer transplantations performed. METHODS: SRTR reports from July 2012 through July 2017 were included. Center characteristics were compared, stratified by number of flagging events. The impact of flagging for underperformance on risk aversion outcomes was analyzed using a mixed-effects regression model. RESULTS: A total of 72 centers had reported SRTR data during the study period. Of these, 21 centers (29%) met flagging criteria a median of 2 times (interquartile range, 1 to 4 times) for a total of 53 events. Flagging had no statistically significant impact on waitlist or transplantation volume and patient selection by mixed-effects modeling. Despite similar average expected 1-year survival (86.6% versus 87.7%, p = 0.27), centers that were flagged only once added more patients per year to the waitlist (16.3 patients versus 7.8 patients, p = 0.01) and performed more transplantations per year (28.4 transplantations versus 11.1 transplantations, p = 0.01). CONCLUSIONS: This analysis defines center-level trends in lung transplantation after CMS flagging. Contrary to our primary hypothesis, flagging did not result in temporal center-level changes. However, programs on prolonged probation demonstrated reduced activity, which likely indicates a shift to higher performing centers.