Optimal Pancreatic Surgery: Are We Making Progress in North America?

OBJECTIVE: Our aims were to assess North American trends in the management of patients undergoing pancreatoduodenectomy (PD) and distal pancreatectomy (DP), and to quantify the delivery of optimal pancreatic surgery. BACKGROUND: Morbidity after pancreatectomy remains unacceptably high. Recent literature suggests that composite measures may more accurately define surgical quality. METHODS: The 2013 to 2017 American College of Surgeons National Surgical Quality Improvement Program Participant Use Files were queried to identify patients undergoing PD (N = 16,222) and DP (N = 7946). Patient, process, procedure, and 30-day postoperative outcome variables were analyzed over time. Optimal pancreatic surgery was defined as the absence of postoperative mortality, serious morbidity, percutaneous drainage, and reoperation while achieving a length of stay equal to or less than the 75th percentile (12 days for PD and 7 days for DP) with no readmissions. Risk-adjusted time-trend analyses were performed using logistic regression, and the threshold for statistical significance was P ≤ 0.05. RESULTS: The use of minimally invasive PD did not change over time, but robotic PD increased (2.5 to 4.2%; P < 0.001) and laparoscopic PD decreased (5.8% to 4.3%; P < 0.02). Operative times decreased (P < 0.05) and fewer transfusions were administered (P < 0.001). The percentage of patients with a drain fluid amylase checked on postoperative day 1 increased (P < 0.001), and a greater percentage of surgical drains were removed by postoperative day 3 (P < 0.001). Overall morbidity (P < 0.02), mortality (P < 0.05), and postoperative length of stay (P = 0.002) decreased. Finally, the rate of optimal pancreatic surgery increased for PD (53.7% to 56.9%; P < 0.01) and DP (53.3% to 58.5%; P < 0.001), and alspo for patients with pancreatic cancer (P < 0.01). CONCLUSIONS: From 2013 to 2017, pre, intra, and perioperative pancreatectomy processes have evolved, and multiple postoperative outcomes have improved. Thus, in 4 years, optimal pancreatic surgery in North America has increased by 3% to 5%.

Clinical Utility of the Risk Analysis Index as a Prospective Frailty Screening Tool within a Multi-practice, Multi-hospital Integrated Healthcare System.

OBJECTIVE: The goal of this project was to first address barriers to implementation of the Risk Analysis Index (RAI) within a large, multi-hospital, integrated healthcare delivery system, and to subsequently demonstrate its utility for identifying at-risk surgical patients. BACKGROUND: Prior studies demonstrate the validity of the RAI for evaluating preoperative frailty, but they have not demonstrated the feasibility of its implementation within routine clinical practice. METHODS: Implementation of the RAI as a frailty screening instrument began as a quality improvement initiative at the University of Pittsburgh Medical Center in July 2016. RAI scores were collected within a REDCap survey instrument integrated into the outpatient electronic health record and then linked to information from additional clinical datasets. NSQIP-eligible procedures were queried within 90 days following the RAI, and the association between RAI and postoperative mortality was evaluated using logistic regression and Cox proportional hazards models. Secondary outcomes such as inpatient length of stay and readmissions were also assessed. RESULTS: RAI assessments were completed on 36,261 unique patients presenting to surgical clinics across five hospitals from July 1 to December 31, 2016, and 8,172 of these underwent NSQIP-eligible surgical procedures. The mean RAI score was 23.6 (SD 11.2), the overall 30-day and 180-day mortality after surgery was 0.7% and 2.6%, respectively, and the median time required to collect the RAI was 33 [IQR 23-53] seconds. Overall clinic compliance with the recommendation for RAI assessment increased from 58% in the first month of the study period to 84% in the sixth and final month. RAI score was significantly associated with risk of death (HR=1.099 [95% C.I.: 1.091 - 1.106], p < 0.001). At an RAI cutoff of ≥37, the positive predictive values for 30- and 90-day readmission were 14.8% and 26.2%, respectively, and negative predictive values were 91.6% and 86.4%, respectively. CONCLUSIONS: The RAI frailty screening tool can be efficiently implemented within multi-specialty, multi-hospital healthcare systems. In the context of our findings and given the value of the RAI in predicting adverse postoperative outcomes, health systems should consider implementing frailty screening within surgical clinics.

Recalibration and External Validation of the Risk Analysis Index: A Surgical Frailty Assessment Tool.

OBJECTIVE AND BACKGROUND: The Risk Analysis Index (RAI) predicts 30-, 180-, and 365-day mortality based on variables constitutive of frailty. Initially validated, in a single-center Veteran hospital, we sought to improve model performance by recalibrating the RAI in a large, veteran surgical registry, and to externally validate it in both a national surgical registry and a cohort of surgical patients for whom RAI was measured prospectively before surgery. METHODS: The RAI was recalibrated among development and confirmation samples within the Veterans Affairs Surgical Quality Improvement Program (VASQIP; 2010-2014; N = 480,731) including major, elective noncardiac surgery patients to create the revised RAI (RAI-rev), comparing discrimination and calibration. The model was tested externally in the American College of Surgeons National Surgical Quality Improvement Program dataset (NSQIP; 2005-2014; N = 1,391,785), and in a prospectively collected cohort from the Nebraska Western Iowa Health Care System VA (NWIHCS; N = 6,856). RESULTS: Recalibrating the RAI significantly improved discrimination for 30-day [c = 0.84-0.86], 180-day [c = 0.81-0.84], and 365-day mortality [c = 0.78-0.82] (P < 0.001 for all) in VASQIP. The RAI-rev also had markedly better calibration (median absolute difference between observed and predicted 180-day mortality: decreased from 8.45% to 1.23%). RAI-rev was highly predictive of 30-day mortality (c = 0.87) in external validation with excellent calibration (median absolute difference between observed and predicted 30-day mortality: 0.6%). The discrimination was highly robust in men (c = 0.85) and women (c = 0.89). Discrimination also improved in the prospectively measured cohort from NWIHCS for 180-day mortality [c = 0.77 to 0.80] (P < 0.001). CONCLUSIONS: The RAI-rev has improved discrimination and calibration as a frailty-screening tool in surgical patients. It has robust external validity in men and women across a wide range of surgical settings and available for immediate implementation for risk assessment and counseling in preoperative patients.

Novel bypass risk predictive tool is superior to the 5-Factor Modified Frailty Index in predicting postoperative outcomes.

OBJECTIVE: This study aimed to develop risk predictive models of 30-day mortality, morbidity, and major adverse limb events (MALE) after bypass surgery for aortoiliac occlusive disease (AIOD) and to compare their performances with a 5-Factor Frailty Index. METHODS: The American College of Surgeons National Surgical Quality Improvement Program 2012-2017 Procedure Targeted Aortoiliac (Open) Participant Use Data Files were queried to identify all patients who had elective bypass for AIOD: femorofemoral bypass, aortofemoral bypass, and axillofemoral bypass (AXB). Outcomes assessed included mortality, major morbidity, and MALE within 30 days postoperatively. Major morbidity was defined as pneumonia, unplanned intubation, ventilator support for >48 hours, progressive or acute renal failure, cerebrovascular accident, cardiac arrest, or myocardial infarction. Demographics, comorbidities, procedure type, and laboratory values were considered for inclusion in the risk predictive models. Logistic regression models for mortality, major morbidity and MALE were developed. The discriminative ability of these models (C-indices) were compared with that of the 5-Factor Modified Frailty Index (mFI-5): a general frailty tool determined from diabetes, functional status, history of chronic obstructive pulmonary disease, history of congestive heart failure, and hypertension. Calculators were derived using the most significant variables for each of the three risk predictive models. RESULTS: A total of 2612 cases (mean age 65.0, 60% male) were identified, of which 1149 (44.0%) were femorofemoral bypass, 1138 (43.6%) were aortofemoral bypass, and 325 (12.4%) were axillofemoral bypass. Overall, the rates of mortality, major morbidity, and MALE were 2.0%, 8.5%, and 4.9%, respectively. Twenty preoperative risk factors were considered for incorporation in the risk tools. Apart from procedure type, age was the most statistically significant predictor of both mortality and morbidity. Preoperative anemia and critical limb ischemia were the most significant predictors of MALE. All three constructed models demonstrated significantly better discriminative ability (P < .001) on the outcomes of interest as compared with the mFI-5. CONCLUSIONS: Our models outperformed the mFI-5 in predicting 30-day mortality, major morbidity, and adverse limb events in patients with AIOD undergoing elective bypass surgery. Calculators were created using the most statistically significant variables to help calculate individual patient's postoperative risks and allow for better informed consent and risk-adjusted comparison of provider outcomes.

Robotic Inguinal Hernia Repair: A Large Health System's Experience With the First 300 Cases and Review of the Literature.

BACKGROUND: Over the past 5 y, robotic surgery has expanded within general surgery, especially in regard to hernia repairs. We aimed to evaluate the outcomes of the early experience of over 300 consecutive robotic inguinal hernia repairs performed in an academic multihospital system. METHODS: Consecutive robotic inguinal hernia repairs performed between December 2015 and June 2017 were analyzed. Retrospective chart review was performed, and hospital records were queried. Descriptive statistics were performed. A surgical learning curve case study is presented, breakdown of operative time is delineated, and review of the literature performed. RESULTS: Over a period of 19 mo, 335 robotic inguinal hernia repairs were performed across seven hospitals by 18 surgeons. The mean patient age was 59 y (standard deviation [SD] 14), 93% were male, and the mean body mass index was 27 (SD 4.6). Bilateral hernia repairs were performed on 131 patients (39%). The mean operative time was 102 min (SD 38) and a resident or fellow trainee was present in the operating room for 119 cases (36%). Minor postoperative complications occurred in 54 patients (16%), including 14 with urinary retention (4.2%) and 13 with scrotal swelling (3.9%). The learning curve of the first adopted surgeon was 11-12 cases. CONCLUSIONS: In the largest case series of robotic inguinal hernia repairs to date reporting short-term outcomes, early experience in an academic multihospital system produced safe outcomes including no open conversions, reoperations, and one readmission. In addition, the learning curve is manageable showing improvement in operating time with experience.

Minimally invasive hepatopancreatobiliary surgery in North America: an ACS-NSQIP analysis of predictors of conversion for laparoscopic and robotic pancreatectomy and hepatectomy.

BACKGROUND: Procedural conversion rates represent an important aspect of the feasibility of minimally invasive surgical (MIS) approaches. This study aimed to outline the rates and predictors of procedural completion/conversion for MIS hepatectomy and pancreatectomy. METHODS: All 2014 ACS-NSQIP laparoscopic and robotic hepatectomy and pancreatectomy procedures were identified and grouped into pure, open assist, or unplanned conversion to open. Risk adjusted multinomial logistic regression models were generated with completion (Pure) set as the primary outcome. RESULTS: 1667 (laparoscopic = 1360, robotic = 307) resections were captured. After risk adjustment, robotic DP was associated with similar open assist (relative risk ratio -1.9%, P = 0.602), but lower unplanned conversion (-8.2%, P = 0.004) and open assist + unplanned conversion (-10.1%, P = 0.015) compared to laparoscopic DP; while robotic PD was associated with lower open assist (-22.2%, P < 0.001), unplanned conversions (-15%, P = 0.006) and open assist + unplanned conversions (-37.2, P < 0.001) compared to laparoscopic PD. The robotic and laparoscopic approaches to hepatectomy were not associated with differences in pure MIS completion rates (P = NS) after risk adjustment. CONCLUSIONS: The robotic approach to pancreatectomy was associated with higher rates of pure MIS completion compared to laparoscopy, whereas no difference in MIS completion rates was noted for robotic versus laparoscopic hepatectomy.

The impact of frailty on mortality in non-surgical head and neck cancer treatment: Shifting the clinical paradigm.

OBJECTIVE: Compare survival of head and neck cancer (HNC) patients treated with surgical or non-surgical management according to frailty, quantify frailty with the Risk Analysis Index (RAI), a validated 14-item instrument. MATERIALS AND METHODS: Prospective cohort study of newly diagnosed HNC patients (≥18 years) who had frailty assessment from April 13, 2016 to September 30, 2016. Primary outcome was overall survival at 1- and 3-years. Cox proportional hazard models were utilized to examine mortality with predictor variables. Adjusted and unadjusted (Kaplan-Meier) survival curves stratified by either RAI scores or treatment modality were plotted. Kruskal-Wallis and likelihood ratio chi-square tests were used for comparing clinicodemographic variables. RESULTS: Of 165 patients, 54 (32.7%) were managed non-surgically, 49 (29.7%) were treated with definitive surgery only, and 62 (37.6%) were treated with multimodality (surgery + adjuvant) therapy. Among the full cohort and subgroup analysis of the frail/very frail (RAI ≥ 37), non-surgical patients had worse or similar 3-year survival than those treated with surgery +/- adjuvant therapy. Multivariable Cox proportional hazard models demonstrate that frail patients treated non-surgically experienced worse survival than their counterparts treated with surgery (HR = 2.50, p = 0.015, 95% CI: 1.19, 5.23) or multimodality therapy (HR = 3.91, p < 0.001, 95% CI: 1.94-7.89). CONCLUSION: Across all levels of frailty, long term survival of HNC patients treated without surgery is either worse than or like those treated with surgery. These findings (1) challenge current practices of steering patients "too frail for surgery" towards non-surgical, "non-invasive" therapy, and (2) suggest equipoise warranting randomized trials to clarify treatment of frail patients.

Development of a Novel Pancreatoduodenectomy-Specific Risk Calculator: an Analysis of 10,000 Patients.

BACKGROUND: Pancreatoduodenectomy (PD) is often performed in frail patients and is associated with significant morbidity. The five-factor modified frailty index (mFI-5) has been utilized to predict adverse postoperative outcomes, but has not been tested in PD. We aimed to develop risk tools to generate and predict 30-day outcomes after PD and compare their performance with the mFI-5. Risk tools were then used to generate a PD-specific calculator. METHODS: Elective PDs from the 2014-2016 ACS NSQIP® Procedure Targeted Pancreatectomy PUFs were identified. Multivariable logistic regression models were constructed to predict postoperative mortality, any complication, serious complication, clinically relevant postoperative pancreatic fistula (CR-POPF), and discharge not-to-home. Predictive accuracy was evaluated through repeated stratified tenfold cross-validation and compared to the mFI-5. RESULTS: Nine thousand eight hundred sixty-seven PDs were captured. Nine risk factors were retained: sex, age, BMI, DM, HTN, ASA classification, pancreatic duct size, gland texture, and adenocarcinoma. Cross-validated C-indices ranged from 0.49 to 0.61 for the mFI-5 and 0.63 to 0.75 for our risk models. The best-performing model was for discharge not-to-home (C = 0.75), and the model delivering the largest increase in predictive accuracy was for CR-POPF (CmFI-5/Model = 0.49/0.70). A user-friendly risk calculator was created predicting the five outcomes of interest. CONCLUSION: We have created a PD-specific risk calculator that outperforms the mFI-5. This calculator may serve as a useful adjunct in shared decision-making for patients and surgeons.

Small pancreatic neuroendocrine tumors: Resect or enucleate?

BACKGROUND: The aim of this analysis is to compare the postoperative outcomes of resection and enucleation of small pancreatic neuroendocrine tumors (PNETs). METHODS: The 2014-17 American College of Surgeons-NSQIP dataset was queried. Patients undergoing pancreatoduodenectomy (N = 297) or distal pancreatectomy (N = 712) for nonfunctional, small PNETs (T1/T2) were compared to 127 patients (11%) who were enucleated. RESULTS: Operative time (170 vs 261, p < 0.01) and transfusions were less in the enucleation cohort (1.6% vs 6.7% p < 0.01). There was no difference in postoperative pancreatic fistulas, but morbidity was lower in enucleated patients (36.2% vs 48.7% p < 0.01). Fifteen resected patients died postoperatively (1.5%) while all enucleated patients survived (p = 0.058). Mean postoperative length of stay was shorter after enucleation (5.7 vs 7.2 days p < 0.01). CONCLUSIONS: Enucleation of PNETs is performed in only 11% of patients, but takes less time, requires fewer transfusions, and is associated with reduced morbidity and shorter length of stay than resection.

SafeNET: Initial development and validation of a real-time tool for predicting mortality risk at the time of hospital transfer to a higher level of care.

BACKGROUND: Processes for transferring patients to higher acuity facilities lack a standardized approach to prognostication, increasing the risk for low value care that imposes significant burdens on patients and their families with unclear benefits. We sought to develop a rapid and feasible tool for predicting mortality using variables readily available at the time of hospital transfer. METHODS AND FINDINGS: All work was carried out at a single, large, multi-hospital integrated healthcare system. We used a retrospective cohort for model development consisting of patients aged 18 years or older transferred into the healthcare system from another hospital, hospice, skilled nursing or other healthcare facility with an admission priority of direct emergency admit. The cohort was randomly divided into training and test sets to develop first a 54-variable, and then a 14-variable gradient boosting model to predict the primary outcome of all cause in-hospital mortality. Secondary outcomes included 30-day and 90-day mortality and transition to comfort measures only or hospice care. For model validation, we used a prospective cohort consisting of all patients transferred to a single, tertiary care hospital from one of the 3 referring hospitals, excluding patients transferred for myocardial infarction or maternal labor and delivery. Prospective validation was performed by using a web-based tool to calculate the risk of mortality at the time of transfer. Observed outcomes were compared to predicted outcomes to assess model performance. The development cohort included 20,985 patients with 1,937 (9.2%) in-hospital mortalities, 2,884 (13.7%) 30-day mortalities, and 3,899 (18.6%) 90-day mortalities. The 14-variable gradient boosting model effectively predicted in-hospital, 30-day and 90-day mortality (c = 0.903 [95% CI:0.891-0.916]), c = 0.877 [95% CI:0.864-0.890]), and c = 0.869 [95% CI:0.857-0.881], respectively). The tool was proven feasible and valid for bedside implementation in a prospective cohort of 679 sequentially transferred patients for whom the bedside nurse calculated a SafeNET score at the time of transfer, taking only 4-5 minutes per patient with discrimination consistent with the development sample for in-hospital, 30-day and 90-day mortality (c = 0.836 [95%CI: 0.751-0.921], 0.815 [95% CI: 0.730-0.900], and 0.794 [95% CI: 0.725-0.864], respectively). CONCLUSIONS: The SafeNET algorithm is feasible and valid for real-time, bedside mortality risk prediction at the time of hospital transfer. Work is ongoing to build pathways triggered by this score that direct needed resources to the patients at greatest risk of poor outcomes.

Does Preoperative MELD Score Predict Adverse Outcomes Following Pancreatic Resection: an ACS NSQIP Analysis.

BACKGROUND: Higher MELD scores correlate with adverse operative outcomes regardless of the presence of liver disease, but their impact on pancreatectomy outcomes remains undefined. We aimed to compare 30-day adverse postoperative outcomes of patients undergoing elective pancreatectomy stratified by MELD score. METHODS: Elective pancreatoduodenectomies (PDs) and distal pancreatectomies (DPs) were identified from the 2014-2016 ACS NSQIP Procedure Targeted Pancreatectomy Participant Use Data Files. Outcomes examined included mortality, cardiopulmonary complications, prolonged postoperative length-of-stay, discharge not-to-home, transfusion, POPF, CR-POPF, any complication, and serious complication. Outcomes were compared between MELD score strata (< 11 vs. ≥ 11) as established by the United Network for Organ Sharing (UNOS). Multivariable logistic regression models were constructed to examine the risk-adjusted impact of MELD score on outcomes. RESULTS: A total of 7580 PDs and 3295 DPs had evaluable MELD scores. Of these, 1701 PDs and 223 DPs had a MELD score ≥ 11. PDs with MELD ≥ 11 exhibited higher risk for mortality (OR = 2.07, p < 0.001), discharge not-to-home (OR = 1.26, p = 0.005), and transfusion (OR = 1.7, p < 0.001). DP patients with MELD ≥ 11 demonstrated prolonged LOS (OR = 1.75, p < 0.001), discharge not-to-home (OR = 1.83, p = 0.01), and transfusion (OR = 2.78, p < 0.001). In PD, MELD ≥ 11 was independently predictive of 30-day mortality (OR = 1.69, p = 0.007) and transfusion (OR = 1.55, p < 0.001). In DP, MELD ≥ 11 was independently predictive of prolonged LOS (OR = 1.42, p = 0.026) and transfusion (OR = 2.3, p < 0.001). CONCLUSION: A MELD score ≥ 11 is associated with a near twofold increase in the odds of mortality following pancreatoduodenectomy. The MELD score is an objective assessment that aids in risk-stratifying patients undergoing pancreatectomy.

Association of Mentorship and a Formal Robotic Proficiency Skills Curriculum With Subsequent Generations' Learning Curve and Safety for Robotic Pancreaticoduodenectomy.

Importance: Learning curves are unavoidable for practicing surgeons when adopting new technologies. However, patient outcomes are worse in the early stages of a learning curve vs after mastery. Therefore, it is critical to find a way to decrease these learning curves without compromising patient safety. Objective: To evaluate the association of mentorship and a formal proficiency-based skills curriculum with the learning curves of 3 generations of surgeons and to determine the association with increased patient safety. Design, Setting, and Participants: All consecutive robotic pancreaticoduodenectomies (RPDs) performed at the University of Pittsburgh Medical Center between 2008 and 2017 were included in this study. Surgeons were split into generations based on their access to mentorship and a proficiency-based skills curriculum. The generations are (1) no mentorship or curriculum, (2) mentorship but no curriculum, and (3) mentorship and curriculum. Univariable and multivariable analyses were used to create risk-adjusted learning curves by surgical generation and to analyze factors associated with operating room time, complications, and fellows completing the full resection. The participants include surgical oncology attending surgeons and fellows who participated in an RPD at University of Pittsburgh Medical Center between 2008 and 2017. Main Outcomes and Measures: The primary outcome was operating room time (ORT). Secondary outcomes were postoperative pancreatic fistula and Clavien-Dindo classification higher than grade 2. Results: We identified 514 RPDs completed between 2008 and 2017, of which 258 (50.2%) were completed by first-generation surgeons, 151 (29.3%) were completed by the second generation, and 82 (15.9%) were completed by the third generation. There was no statistically significant difference between groups with respect to age (66.3-67.3 years; P = .52) or female sex (n = 34 [41.5%] vs n = 121 [46.9%]; P = .60). There was a significant decrease in ORT (P < .001), from 450.8 minutes for the first-generation surgeons to 348.6 minutes for the third generation. Additionally, across generations, Clavien-Dindo classification higher than grade 2 (n = 74 [28.7%] vs n = 30 [9.9%] vs n = 12 [14.6%]; P = .01), conversion rates (n = 18 [7.0%] vs n = 7 [4.6%] vs n = 0; P = .006), and estimated blood loss (426 mL vs 288.6 mL vs 254.7 mL; P < .001) decreased significantly with subsequent generations. There were no significant differences in postoperative pancreatic fistula. Conclusions and Relevance: In this study, ORT, conversion rates, and estimated blood loss decreased across generations without a concomitant rise in adverse patient outcomes. These findings suggest that a proficiency-based curriculum coupled with mentorship allows for the safe introduction of less experienced surgeons to RPD without compromising patient safety.

Validation of the Risk Analysis Index for Evaluating Frailty in Ambulatory Patients.

BACKGROUND: Frailty is a marker of dependency, disability, hospitalization, and mortality in community-dwelling older adults. However, existing tools for measuring frailty are too cumbersome for rapid point-of-care assessment. The Risk Analysis Index (RAI) of frailty is validated in surgical populations, but its performance outside surgical populations is unknown. OBJECTIVE: Validate the RAI in ambulatory patients. DESIGN, SETTING, AND PARTICIPANTS: Observational cohort study of outpatient surgical clinics within the University of Pittsburgh Medical Center Healthcare System between July 1, 2016, and December 31, 2016. Frailty was assessed using the RAI. Current Procedural Terminology codes following RAI assessment identified patients with and without minor office-based procedures (eg, joint injection, laryngoscopy). MAIN OUTCOMES AND MEASURES: All-cause 1-year mortality, assessed by stratified Cox proportional hazard models. RESULTS: Of 28,059 patients, 13,861 were matched to a minor, office-based procedure and 14,198 did not undergo any procedure. The mean (SD) age was 56.7 (17.2) years; women constituted 15,797 (56.3%) of the cohort. Median time (interquartile range 25th-75th percentile) to measure RAI was 30 (22-47) seconds. Mortality among the frail was two to five times that of patients with normal RAI scores. For example, the hazard ratio for frail ambulatory patients without a minor procedure was 3.69 (95% confidence interval [CI] = 2.51-5.41), corresponding to 30-, 180-, and 365-day mortality rates of 2.9%, 11.2%, and 17.4%, respectively, compared to 0.3%, 2.3%, and 4.0% among patients with normal RAI scores. Discrimination of mortality (overall, and censored at 30, 180, and 365 days) was excellent, ranging from c = 0.838 (95% CI = 0.773-0.902) for 30-day mortality after minor procedures to c = 0.909 (95% CI = 0.855-0.964) without a procedure. CONCLUSION: RAI is a valid, easily administered tool for point-of-care frailty assessment in ambulatory populations that may help clinicians and patients make better informed decisions about care choices-especially among patients considered high risk with a potentially limited life span. J Am Geriatr Soc 68:1818-1824, 2020.

Limitations of patient experience reports to evaluate physician quality in spine surgery: analysis of 7485 surveys.

OBJECTIVEThe Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CG-CAHPS) is a standardized patient experience survey that is used to evaluate the quality of care delivered by physicians. The authors sought to determine which factors influenced CG-CAHPS scores for spine surgery, and compare them to their cranial-focused cohorts.METHODSA retrospective study of prospectively obtained data was performed to evaluate CG-CAHPS scores. Between May 2013 and May 2017, all patients 18 years of age or older with an outpatient encounter with a neurosurgeon (5 spine-focused neurosurgeons and 20 cranial-focused neurosurgeons) received a CG-CAHPS survey. Three domains were assessed: overall physician rating, likelihood to recommend, and physician communication. Statistical analyses were performed using chi-square tests.RESULTSSeven thousand four hundred eighty-five patient surveys (2319 spine and 5166 cranial) were collected from patients presenting to the outpatient offices of an attending neurosurgeon. Analysis of the overall physician rating showed that 81.1% of spine neurosurgeons received a "top-box" score (answers of "yes, definitely"), whereas 86.2% of cranial neurosurgeons received a top-box response (p < 0.001). A similar difference was observed with the domains of "likelihood to recommend" and "physician communication." Overall physician rating was also significantly influenced by the general and mental health of the patients surveyed (p < 0.001). For spine surgeons seeing patients at more than one facility, the scores with respect to location were also significantly different in all domains for each individual provider (p < 0.001).CONCLUSIONSOverall, spine-focused neurosurgeon ratings differed significantly from those of cranial-focused neurosurgical subspecialty providers. Office location also affected provider ratings for spine neurosurgeons. These results suggest that physician ratings obtained via patient experience surveys may be representative of factors aside from just the quality of physician care provided. This information should be considered as payers, government, and health systems design performance programs based on patient experience scores.

Proficiency-based training and credentialing can improve patient outcomes and decrease cost to a hospital system.

BACKGROUND: While proficiency-based robotic training has been shown to enhance skill acquisition, no studies have shown that training leads to improved outcomes or quality measures. METHODS: Board-certified general surgeons participated in an optional proficiency-based robotic training curriculum and outcomes from robotic hernia cases were analyzed. Multivariable analysis was performed for operative times to adjust for patient and surgical variables. RESULTS: Six out of 16 (38%) surgeons completed training and 210 robotic hernia cases were analyzed. Longer operative times were associated with bilateral repairs (observed-to-expected operative time ratio [OTR] = 1.41, p < 0.001) and incarceration (OTR = 1.24, p = 0.006), while female patients (OTR = 0.87, p = 0.001) and increasing chronologic case order (OTR = 0.94, p < 0.001) were associated with shorter operative times. Surgeons who completed robotic training achieved shorter OTRs than those who did not (p = 0.03). Comparing non-risk adjusted hospital costs, trainees had an average of $1207 in savings (20% reduction) per robotic hernia case. CONCLUSIONS: A structured proficiency-based robotics training curriculum is an effective way to reduce operative times and costs.

Preoperative Biliary Drainage Is Associated with Increased Complications After Liver Resection for Proximal Cholangiocarcinoma.

BACKGROUND: Preoperative biliary drainage (PBD) prior to liver resection for hilar and intrahepatic cholangiocarcinoma (CCA) is common. While PBD for those with distal obstructions has been studied extensively and is associated with increased infectious complications, the impact of PBD among patients undergoing hepatectomy for non-disseminated proximal CCA has yet to be clearly elucidated. METHODS: Patients undergoing liver resection between 2014 and 2016 for non-disseminated hilar and intrahepatic CCA were analyzed using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Associations between PBD (percutaneous or endoscopic) and 30-day outcomes were evaluated. RESULTS: There were 905 liver resections performed, with 186 (20.6%) for hilar CCA and 719 (79.4%) for intrahepatic CCA. Of those, 251/897 (28.0%) patients underwent PBD. Independent preoperative predictors of PBD were hilar CCA, major hepatectomy, open surgery, lower BMI, and higher preoperative bilirubin. Adjusting for preoperative variables, extent of resection, and bilirubin, PBD was independently associated with increased wound infection (OR 2.93), organ space infection (OR 3.63), sepsis (OR 3.17), renal insufficiency (OR 4.25), transfusion (OR 2.40), bile leak (OR 3.23), invasive intervention (OR 2.72), liver failure (OR 3.20), readmission (OR 3.01), reoperation (OR 2.32), and mortality (OR 4.24, all p < 0.05). CONCLUSIONS: Among patients undergoing hepatectomy for proximal CCA, PBD is associated with increased postoperative complications. These data suggest that avoidance of routine preoperative biliary drainage may decrease short-term complications.

Developing a Community-Based Tailored Exercise Program for People With Severe and Persistent Mental Illness.

BACKGROUND: People with severe and persistent mental illness (SPMI) are at a greater risk of medical issues compared with the general population. Exercise has a positive effect on physical and mental health outcomes among this population in community settings. OBJECTIVES: To describe community-based participatory research (CBPR) methods used to tailor an exercise program among people with SPMI, demonstrate its impact, and present lessons learned for future research. METHODS: The partnership developed a project to explore the feasibility of implementing a physical activity program at a community agency among clients with SPMI. LESSONS LEARNED: Data showed improved trends in mood, social support, and physical and mental health outcomes. Facilitators and barriers must be carefully considered for recruitment and retention. CONCLUSIONS: A gender-specific, group-based, tailored exercise intervention developed through collaboration with a community agency serving people with SPMI using CBPR methods is feasible.

Dynamic simulation of crime perpetration and reporting to examine community intervention strategies.

OBJECTIVE: To develop a conceptual computational agent-based model (ABM) to explore community-wide versus spatially focused crime reporting interventions to reduce community crime perpetrated by youth. METHOD: Agents within the model represent individual residents and interact on a two-dimensional grid representing an abstract nonempirically grounded community setting. Juvenile agents are assigned initial random probabilities of perpetrating a crime and adults are assigned random probabilities of witnessing and reporting crimes. The agents' behavioral probabilities modify depending on the individual's experience with criminal behavior and punishment, and exposure to community crime interventions. Cost-effectiveness analyses assessed the impact of activating different percentages of adults to increase reporting and reduce community crime activity. Community-wide interventions were compared with spatially focused interventions, in which activated adults were focused in areas of highest crime prevalence. RESULTS: The ABM suggests that both community-wide and spatially focused interventions can be effective in reducing overall offenses, but their relative effectiveness may depend on the intensity and cost of the interventions. Although spatially focused intervention yielded localized reductions in crimes, such interventions were shown to move crime to nearby communities. Community-wide interventions can achieve larger reductions in overall community crime offenses than spatially focused interventions, as long as sufficient resources are available. CONCLUSION: The ABM demonstrates that community-wide and spatially focused crime strategies produce unique intervention dynamics influencing juvenile crime behaviors through the decisions and actions of community adults. It shows how such models might be used to investigate community-supported crime intervention programs by integrating community input and expertise and provides a simulated setting for assessing dimensions of cost comparison and intervention effect sustainability. ABM illustrates how intervention models might be used to investigate community-supported crime intervention programs.