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Background: Traditionally, clinicians present complications at surgical morbidity and mortality (M&M) conferences, and the AHRQ Patient Safety Indicators (PSIs) use inpatient administrative data to identify certain adverse outcomes. Although both methods are used to identify adverse events and inform quality improvement efforts, these 2 methods might not overlap., Study Design: This is a retrospective observational study of all hospitalizations at a single academic department of surgery (including subspecialties) in 2016 involving a PSI-defined event (PSIs 03, 05 to 15) identified by surgery faculty and residents for review by departmental M&M conference or administrative data (according to AHRQ, version 6.0). Pediatric cases were excluded. We analyzed the degree to which these 2 processes captured PSI-defined events and reasons for exclusion by each process., Results: Among 6,563 surgical hospitalizations, 647 hospitalizations (9.9%) had at least 1 complication identified by the M&M process or the PSIs (or both). Of these hospitalizations, 116 had at least 1 PSI-defined event (for a total of 149 PSI-defined events) captured by either M&M or the PSIs. Most complications (n = 82 [88.2%]) identified by M&M alone were excluded by PSI criteria (as intended), but 11 true PSI events (ie false negatives) were identified by M&M only. In contrast, pressure ulcers and central venous catheter-related bloodstream infections were detected exclusively by the PSIs and not reported via M&M. There was limited overlap, with 18 events (12.1%) captured by both processes., Conclusions: Surgical M&M and the PSIs are complementary approaches to identifying complications. Both case-finding processes should be used to inform quality improvement efforts., (Copyright © 2018 American College of Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Patients undergoing emergency general surgery (EGS) procedures are up to eight times more likely to die than patients undergoing the same procedures electively. This excess mortality is often attributed to nonmodifiable patient factors including comorbidities and physiologic derangements at presentation, leaving few targets for quality improvement. Although the hospital-level traits that contribute to EGS outcomes are not well understood, we hypothesized that facilities with lower trauma mortality would have lower EGS mortality., Methods: Using the Nationwide Inpatient Sample (2008-2011), we calculated hospital-level risk-adjusted trauma mortality rates for hospitals with more than 400 trauma admissions. We then calculated hospital-level risk-adjusted EGS mortality rates for hospitals with more than 200 urgent/emergent admissions for seven core EGS procedures (laparotomy, large bowel resection, small bowel resection, lysis of adhesions, operative intervention for ulcer disease, cholecystectomy, and appendectomy). We used univariable and multivariable techniques to assess for associations between hospital-level risk-adjusted EGS mortality and hospital characteristics, patient-mix traits, EGS volume, and trauma mortality quartile., Results: Data from 303 hospitals, representing 153,544 admissions, revealed a median hospital-level EGS mortality rate of 1.21% (interquartile range, 0.86%-1.71%). After adjusting for hospital traits, hospital-level EGS mortality was significantly associated with trauma mortality quartile as well as patients' community income-level and race/ethnicity (p < 0.05 for all). Mean risk-adjusted EGS mortality was 1.09% (95% confidence interval, 0.94-1.25%) at hospitals in the lowest quartile for risk-adjusted trauma mortality, and 1.64% (95% confidence interval, 1.48-1.80%) at hospitals in the highest quartile of trauma mortality (p < 0.01). Sensitivity analyses limited to (1) high-mortality procedures and (2) high-volume facilities; both found similar trends (p < 0.01)., Conclusions: Patients at hospitals with lower risk-adjusted trauma mortality have a nearly 33% lower risk of mortality after admission for EGS procedures. The structures and processes that improve trauma mortality may also improve EGS mortality. Emergency general surgery-specific systems measures and process measures are needed to better understand drivers of variation in quality of EGS outcomes., Level of Evidence: Epidemiological, level III; Care management, level IV.

Background: Patients managed nonoperatively have been excluded from risk-adjusted benchmarking programs, including the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP). Consequently, optimal performance evaluation is not possible for specialties like emergency general surgery (EGS) where nonoperative management is common. We developed a multi-institutional EGS clinical data registry within ACS NSQIP that includes patients managed nonoperatively to evaluate variability in nonoperative care across hospitals and identify gaps in performance assessment that occur when only operative cases are considered., Methods: Using ACS NSQIP infrastructure and methodology, surgical consultations for acute appendicitis, acute cholecystitis, and small bowel obstruction (SBO) were sampled at 13 hospitals that volunteered to participate in the EGS clinical data registry. Standard NSQIP variables and 16 EGS-specific variables were abstracted with 30-day follow-up. To determine the influence of complications in nonoperative patients, rates of adverse outcomes were identified, and hospitals were ranked by performance with and then without including nonoperative cases., Results: Two thousand ninety-one patients with EGS diagnoses were included, 46.6% with appendicitis, 24.3% with cholecystitis, and 29.1% with SBO. The overall rate of nonoperative management was 27.4%, 6.6% for appendicitis, 16.5% for cholecystitis, and 69.9% for SBO. Despite comprising only 27.4% of patients in the EGS pilot, nonoperative management accounted for 67.7% of deaths, 34.3% of serious morbidities, and 41.8% of hospital readmissions. After adjusting for patient characteristics and hospital diagnosis mix, addition of nonoperative management to hospital performance assessment resulted in 12 of 13 hospitals changing performance rank, with four hospitals changing by three or more positions., Conclusion: This study identifies a gap in performance evaluation when nonoperative patients are excluded from surgical quality assessment and demonstrates the feasibility of incorporating nonoperative care into existing surgical quality initiatives. Broadening the scope of hospital performance assessment to include nonoperative management creates an opportunity to improve the care of all surgical patients, not just those who have an operation., Level of Evidence: Care management, level IV; Epidemiologic, level III.

Introduction: The objective of this study was to compare long-term neurological outcomes in low-risk patients with traumatic intracranial hemorrhage (tICH) admitted to the ICU (intensive care unit) versus patients admitted to the floor., Methods: This retrospective study was conducted at a Level 1 trauma center from October 1, 2008, to February 1, 2013. We defined low-risk patients as age less than 65 years, isolated head injury, normal admission mental status, and no shift or swelling on initial head CT (computed tomography). Clinical data were abstracted from a trauma registry and linked to a brain injury database. We compared the Extended Glasgow Outcome Scale (GOS-E) score at six months between patients admitted to the ICU and patients admitted to the floor. We did a risk-adjusted analysis of the influence of floor admission on a normal GOS-E., Results: We identified 151 patients; 45 (30%) were admitted to the floor and 106 (70%) to the ICU. Twenty-three (51%; 95% CI [36-66%]) patients admitted to the floor and 55 (52%; 95% CI [42-62%]) patients admitted to the ICU had a normal GOS-E. On adjusted analysis; the odds ratio for floor admission was 0.77 (95% CI [0.36-1.64]) for a normal GOS-E at six months., Conclusion: Long-term neurological outcomes in low-risk patients with tICH were not markedly different between patients admitted to the ICU and those admitted to the floor. However, we were unable to demonstrate non-inferiority on adjusted analysis. Future work aimed at a larger, prospective cohort may better evaluate the relative impacts of admission type on outcomes.

Background: The effectiveness of the nonsteroidal anti-inflammatory drug ketorolac in reducing pulmonary morbidity after rib fractures remains largely unknown., Methods: A retrospective cohort study was conducted spanning January 2003 to June 2011 assessing pneumonia within 30 days and potential adverse effects of ketorolac among all patients with rib fractures who received ketorolac <4 days after injury compared with a random sample of those who did not., Results: Among 202 patients who received ketorolac and 417 who did not, ketorolac use was associated with decreased pneumonia (odds ratio, .14; 95% confidence interval, .04 to .46) and increased ventilator-free days (difference, 1.8 days; 95% confidence interval, 1.1 to 2.5) and intensive care unit-free days (difference, 2.1 days; 95% confidence interval, 1.3 to 3.0) within 30 days. The rates of acute kidney injury, gastrointestinal hemorrhage, and fracture nonunion were not different., Conclusions: Early administration of ketorolac to patients with rib fractures is associated with a decreased likelihood of pneumonia, without apparent risks., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Objective: The Agency for Healthcare Research and Quality Patient Safety Indicator (PSI) 10, "Postoperative Physiologic and Metabolic Derangement" (PPMD), uses administrative data to detect postoperative acute kidney injury (AKI) requiring dialysis and diabetes-related complications. We sought to evaluate the indicator's criterion validity., Research Design: We conducted a retrospective cross-sectional study of hospitalization records flagged positive and negative by PSI 10 from a diverse set of 35 hospitals between February 1, 2006 and June 30, 2009. Trained nurse abstractors reviewed medical records. We determined the indicator's sensitivity, specificity, and positive and negative predictive values., Results: Of 94 records flagged by PSI 10 (87 for AKI, 7 for diabetic complications, 1 for both), 69 (73%) involved an accurately coded event; 60 (64%; 95% CI, 46%-79%) represented true PPMD from a clinical perspective. Two of 8 records flagged for diabetic complications were true events. Nineteen false positives involved preoperative renal failure. Three of 230 records flagged negative (enriched with questionably negative records) represented true PPMD. The indicator's sensitivity was 66% (20%-94%), specificity 99.9% (99.5%-100%), and negative predictive value 99.9% (99.4%-100%). Considering dialysis access procedures tantamount to dialysis and excluding records with lower urinary tract obstruction might increase the sensitivity and positive predictive value to 98% (87%-100%) and 72% (50%-87%), respectively., Conclusions: PSI 10 mostly concerns AKI and currently has moderate criterion validity, which might improve with increased use of "present on admission" coding, abandonment of the diabetes criteria, and adjustments to the indicator specifications regarding dialysis access and urinary tract obstruction.