Cardiac risk stratification and adverse outcomes in surgically managed patients with isolated traumatic spine injuries.

INTRODUCTION: As the incidence of traumatic spine injuries has been steadily increasing, especially in the elderly, the ability to categorize patients based on their underlying risk for the adverse outcomes could be of great value in clinical decision making. This study aimed to investigate the association between the Revised Cardiac Risk Index (RCRI) and adverse outcomes in patients who have undergone surgery for traumatic spine injuries. METHODS: All adult patients (18 years or older) in the 2013-2019 TQIP database with isolated spine injuries resulting from blunt force trauma, who underwent spinal surgery, were eligible for inclusion in the study. The association between the RCRI and in-hospital mortality, cardiopulmonary complications, and failure-to-rescue (FTR) was determined using Poisson regression models with robust standard errors to adjust for potential confounding. RESULTS: A total of 39,391 patients were included for further analysis. In the regression model, an RCRI ≥ 3 was associated with a threefold risk of in-hospital mortality [adjusted IRR (95% CI): 3.19 (2.30-4.43), p < 0.001] and cardiopulmonary complications [adjusted IRR (95% CI): 3.27 (2.46-4.34), p < 0.001], as well as a fourfold risk of FTR [adjusted IRR (95% CI): 4.27 (2.59-7.02), p < 0.001], compared to RCRI 0. The risk of all adverse outcomes increased stepwise along with each RCRI score. CONCLUSION: The RCRI may be a useful tool for identifying patients with traumatic spine injuries who are at an increased risk of in-hospital mortality, cardiopulmonary complications, and failure-to-rescue after surgery.

Does frailty impact failure-to-rescue in geriatric trauma patients?

BACKGROUND: Failure-to-rescue (FTR), defined as death following a major complication, is a metric of trauma quality. The impact of patient frailty on FTR has not been fully investigated, especially in geriatric trauma patients. This study hypothesized that frailty increased the risk of FTR in geriatric patients with severe injury. METHODS: A retrospective cohort study was conducted using the TQIP database between 2015 and 2019, including geriatric patients with trauma (age ≥65 years) and an Injury Severity Score (ISS) > 15, who survived ≥48 hours postadmission. Frailty was assessed using the modified 5-item frailty index (mFI). Patients were categorized into frail (mFI ≥ 2) and nonfrail (mFI < 2) groups. Logistic regression analysis and a generalized additive model (GAM) were used to examine the association between FTR and patient frailty after controlling for age, sex, type of injury, trauma center level, ISS, and vital signs on admission. RESULTS: Among 52,312 geriatric trauma patients, 34.6% were frail (mean mFI: frail: 2.3 vs. nonfrail: 0.9, p < 0.001). Frail patients were older (age, 77 vs. 74 years, p < 0.001), had a lower ISS (19 vs. 21, p < 0.001), and had a higher incidence of FTR compared with nonfrail patients (8.7% vs. 8.0%, p = 0.006). Logistic regression analysis revealed that frailty was an independent predictor of FTR (odds ratio, 1.32; confidence interval, 1.23-1.44; p < 0.001). The GAM plots showed a linear increase in FTR incidence with increasing mFI after adjusting for confounders. CONCLUSION: This study demonstrated that frailty independently contributes to an increased risk of FTR in geriatric trauma patients. The impact of patient frailty should be considered when using FTR to measure the quality of trauma care. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level IV.

Volume of frail patients predicts outcome in frail patients after cardiac surgery.

OBJECTIVE: Recent data from major noncardiac surgery suggest that outcomes in frail patients are better predicted by a hospital's volume of frail patients specifically, rather than overall surgical volume. We sought to evaluate this "frailty volume-frailty outcome relationship" in patients undergoing cardiac surgery. METHODS: We studied 72,818 frail patients undergoing coronary artery bypass grafting or valve replacement surgery from 2010 to 2014 using the Nationwide Readmissions Database. Frailty was defined using the Johns Hopkins Adjusted Clinical Groups frailty-defining diagnoses indicator. Multilevel logistic regression was used to assess the independent effect of frailty volume by quartile on mortality, surgical complications, failure to rescue, nonhome discharge, 30-day readmissions, length of stay, and hospital costs in frail patients. RESULTS: In comparing the highest volume quartiles with the lowest, both overall cardiac surgical volume and volume for frail patients were significantly associated with shorter length of stay and reduced costs. However, frailty volume was also independently associated with significantly reduced in-hospital mortality (odds ratio, 0.79; 95% confidence interval, 0.67-0.94; P = .006) and failure to rescue (odds ratio, 0.83; 95% confidence interval, 0.70-0.98; P = .03), whereas no such association was seen between overall volume and either mortality (odds ratio, 0.94; 95% confidence interval, 0.74-1.10; P = .43) or failure to rescue (odds ratio, 0.98; 95% confidence interval, 0.83-1.17; P = .85). Neither frailty volume nor overall volume showed any significant relationship with the rate of 30-day readmissions. CONCLUSIONS: In frail patients undergoing cardiac surgery, surgical volume of frail patients was a significant independent of predictor of in-hospital mortality and failure to rescue, whereas overall surgical volume was not. Thus, the "frailty volume-outcome relationship" superseded the traditional "volume-outcome relationship" in frail patients with cardiac disease.

Failure to Rescue in Geriatric Trauma: The Impact of Any Complication Increases with Age and Injury Severity in Elderly Trauma Patients.

INTRODUCTION: The interaction of increasing age, Injury Severity Score (ISS), and complications is not well described in geriatric trauma patients. We hypothesized that failure to rescue rate from any complication worsens with age and injury severity. METHODS: The National Trauma Data Bank (NTDB) was queried for injured patients aged 65 years or older from January 1, 2013 through December 31, 2016. Demographics and injury characteristics were used to compare groups. Mortality rates were calculated across subgroups of age and ISS, and captured with heatmaps. Multivariable logistic regression was performed to identify independent predictors of mortality. RESULTS: 614,496 geriatric trauma patients were included; 151,880 (24.7%) experienced a complication. Those with complications tended to be older, female, non-white, have non-blunt mechanism, higher ISS, and hypotension on arrival. Overall mortality was highest (19%) in the oldest (≥86 years old) and most severely injured (ISS ≥ 25) patients, with constant age increasing across each ISS group was associated with a 157% increase in overall mortality (P < .001, 95% CI: 148-167%). Holding ISS stable, increasing age group was associated with a 48% increase in overall mortality (P < .001, 95% CI: 44-52%). After controlling for standard demographic variables at presentation, the existence of any complication was an independent predictor of overall mortality in geriatric patients (OR: 2.3; 95% CI: 2.2-2.4). CONCLUSIONS: Any complication was an independent risk factor for mortality, and scaled with increasing age and ISS in geriatric patients. Differences in failure to rescue between populations may reflect critical differences in physiologic vulnerability that could represent targets for interventions.

Association Between the Physician Quality Score in the Merit-Based Incentive Payment System and Hospital Performance in Hospital Compare in the First Year of the Program.

Importance: The scientific validity of the Merit-Based Incentive Payment System (MIPS) quality score as a measure of hospital-level patient outcomes is unknown. Objective: To examine whether better physician performance on the MIPS quality score is associated with better hospital outcomes. Design, Setting, and Participants: This cross-sectional study of 38 830 physicians used data from the Centers for Medicare & Medicaid Services (CMS) Physician Compare (2017) merged with CMS Hospital Compare data. Data analysis was conducted from September to November 2020. Main Outcomes and Measures: Linear regression was used to examine the association between physician MIPS quality scores aggregated at the hospital level and hospitalwide measures of (1) postoperative complications, (2) failure to rescue, (3) individual postoperative complications, and (4) readmissions. Results: The study cohort of 38 830 clinicians (5198 [14.6%] women; 12 103 [31.6%] with 11-20 years in practice) included 6580 (17.2%) general surgeons, 8978 (23.4%) orthopedic surgeons, 1617 (4.2%) vascular surgeons, 582 (1.5%) cardiac surgeons, 904 (2.4%) thoracic surgeons, 18 149 (47.4%) anesthesiologists, and 1520 (4.0%) intensivists at 3055 hospitals. The MIPS quality score was not associated with the hospital composite rate of postoperative complications. MIPS quality scores for vascular surgeons in the 11th to 25th percentile, compared with those in the 51st to 100th percentile, were associated with a 0.55-percentage point higher hospital rate of failure to rescue (95% CI, 0.06-1.04 percentage points; P = .03). MIPS quality scores for cardiac surgeons in the 1st to 10th percentile, compared with those in the 51st to 100th percentile, were associated with a 0.41-percentage point higher hospital coronary artery bypass graft (CABG) mortality rate (95% CI, 0.10-0.71 percentage points; P = .01). MIPS quality scores for cardiac surgeons in the 1st to 10th percentile and 11th to 25th percentile, compared with those in the 51st to 100th percentile, were associated with 0.65-percentage point (95% CI, 0.013-1.16 percentage points; P = .02) and 0.48-percentage point (95% CI, 0.07-0.90 percentage points; P = .02) higher hospital CABG readmission rates, respectively. Conclusions and Relevance: In this study, better performance on the physician MIPS quality score was associated with better hospital surgical outcomes for some physician specialties during the first year of MIPS.

Association of the COVID-19 Pandemic and Low-rescue Suicide Attempts in Patients Visiting the Emergency Department after Attempting Suicide.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic may increase the total number of suicide attempts and the proportion of low-rescue attempts. We investigated the factors affecting low-rescue suicide attempts using the risk-rescue rating scale (RRRS) among patients who visited the emergency department (ED) after attempting suicide before or during the COVID-19 pandemic. METHODS: We retrospectively investigated suicide attempts made by patients who visited our ED from March 2019 to September 2020. Patients were classified into two groups based on whether they attempted suicide before or during the COVID-19 pandemic. Data on demographic variables, psychiatric factors, suicide risk factors and rescue factors were collected and compared. RESULTS: A total of 518 patients were included in the study, 275 (53.1%) of whom attempted suicide during the COVID-19 pandemic. The proportion of patients who made low-rescue suicide attempts differed before and during the COVID-19 pandemic (37.1% vs. 28.8%) (P = 0.046). However, the proportions of patients who made high-risk suicide attempts and high-lethality suicide attempts did not significantly differ between the two periods. The independent risk factors for low-rescue suicide attempts were age and the COVID-19 pandemic (odds ratio [OR], 1.02; 95% confidence interval [CI], 1.00-1.03; P = 0.006) (OR, 1.52; 95% CI, 1.03-2.25; P = 0.034). CONCLUSION: The COVID-19 pandemic was associated with low-rescue suicide attempts in patients visiting the ED after attempting suicide. Thus, we need to consider the implementation of measures to prevent low-rescue suicide attempts during similar infectious disease crises.

Association Between Hospital Volume and Failure to Rescue After Open or Endovascular Repair of Intact Abdominal Aortic Aneurysms in the VASCUNET and International Consortium of Vascular Registries.

OBJECTIVE: To investigate the association between hospital volume and failure to rescue (FtR), after open repair (OAR), and endovascular repair (EVAR) of intact abdominal aortic aneurysms (AAA) among centers participating in the VASCUNET and International Consortium of Vascular Registries. SUMMARY OF BACKGROUND DATA: FtR (ie, in-hospital death following major complications) is a composite end-point representing the inability to treat complications effectively and prevent death. METHODS: Using data from 8 vascular registries, complication and mortality rates after intact AAA repair were examined (n = 60,273; EVAR-43,668; OAR-16,605). A restricted analysis using pooled data from 4 countries (Australia, Hungary, New Zealand, and USA) reporting data on all postoperative complications (bleeding, stroke, cardiac, respiratory, renal, colonic ischemia) was performed to identify risk-adjusted association between hospital volume and FtR. RESULTS: The most frequently reported complications were cardiac (EVAR-3.0%, OAR-8.9%) and respiratory (EVAR-1.0%, OAR-5.7%). In adjusted analysis, 4.3% of EVARs and 18.5% of OARs had at least 1 complication. The overall FtR rate was 10.3% after EVAR and 15.7% after OAR. Subjects treated in the highest volume centers (Q4) had 46% and 80% lower odds of FtR after EVAR (OR = 0.54; 95% CI = 0.34-0.87; P = 0.04) and OAR (OR = 0.22; 95% CI = 0.11-0.44; P < 0.001) when compared to lowest volume centers (Q1), respectively. Colonic ischemia had the highest risk of FtR for both procedures (adjusted predicted risks, EVAR: 27%, 95% CI 14%-45%; OAR: 30%, 95% CI 17%-46%). CONCLUSIONS: In this multi-national dataset, FtR rate after intact AAA repair with EVAR and OAR is significantly associated with hospital volume. Hospitals in the top volume quartiles achieve the lowest mortality after a complication has occurred.

Increasing Frailty in Geriatric Emergency General Surgery: A Cause for Concern.

BACKGROUND: Emergency general surgery (EGS) presents a challenge for frail, geriatric individuals who often have extensive comorbidities affecting postoperative recovery. Previous studies have shown an association between increasing frailty and adverse outcomes following elective and EGS; no study has explored the same for the geriatric patient population using the modified 5-item frailty index (mFI-5) score. MATERIALS AND METHODS: A retrospective cohort study was performed using the 2012-2017 American College of Surgeons - National Surgical Quality Improvement Program database to identify geriatric patients (≥65 years) undergoing EGS procedures within 48 h of admission. The previously validated mFI-5 score was used to assess preoperative frailty. The study cohort was divided into four groups: mFI-5 = 0, mFI-5 = 1, mFI-5 = 2, and mFI-5 ≥ 3; the impact of increasing mFI-5 score on failure-to-rescue (FTR), 30-day complications, readmissions, reoperations, and mortality was assessed. RESULTS: A total of 47,216 patients were included: 27.4% with mFI-5 = 0, 45% with mFI-5 = 1, 22.1% with mFI-5 = 2, and 5.5% with mFI-5 ≥ 3. Following multivariate analyses, increasing mFI-5 score was associated with higher odds of FTR (mFI-5 = 1: odds ratio (OR) 1.48, p=0.003; mFI-5 = 2: OR 2.66, p <0.001; mFI-5 ≥ 3: OR 3.97, p <0.001), 30-day complications (mFI-5 = 1: OR 1.46, p <0.001; mFI-5 = 2: OR 2.48, p <0.001; mFI-5≥3: OR 5.01, p <0.001), reoperation (mFI-5 = 1: OR 1.42, p = 0.020; mFI-5 = 2: OR 1.70, p = 0.021; mFI-5 ≥ 3: OR 2.18, p = 0.009) and all-cause mortality (mFI-5 = 1: OR 1.49, p=0.001; mFI-5 = 2: OR 2.67, p <0.001; mFI-5 ≥ 3: 3.96, p <0.001). CONCLUSIONS: Increasing frailty in geriatric EGS patients is associated with significantly higher rates of FTR, 30-day complications, reoperations, and all-cause mortality. The mFI-5 score can be used to assess frailty and better anticipate the postoperative course of vulnerable geriatric patients.

Hospital academic status is associated with failure-to-rescue after colorectal cancer surgery.

BACKGROUND: Failure-to-rescue is a quality indicator measuring the response to postoperative complications. The current study aims to compare failure-to-rescue in patients suffering severe complications after surgery for colorectal cancer between hospitals based on their university status. METHODS: Patients undergoing colorectal cancer surgery from January 2015 to January 2020 in Sweden were included through the Swedish Colorectal Cancer Registry in the current study. Severe postoperative complications were defined as Clavien-Dindo ≥3. Failure-to-rescue incidence rate ratios were calculated comparing university versus nonuniversity hospitals. RESULTS: A total of 23,351 patients were included in this study, of whom 2,964 suffered severe postoperative complication(s). University hospitals had lower failure-to-rescue rates with an incidence rate ratios of 0.62 (0.46-0.84, P = .002) compared with nonuniversity hospitals. There were significantly lower failure-to-rescue rates in almost all types of severe postoperative complications at university than nonuniversity hospitals. CONCLUSION: University hospitals have a lower risk for failure-to-rescue compared with nonuniversity hospitals. The exact mechanisms behind this finding are unknown and warrant further investigation to identify possible improvements that can be applied to all hospitals.

Hospital volume following major surgery for gastric cancer determines in-hospital mortality rate and failure to rescue: a nation-wide study based on German billing data (2009-2017).

BACKGROUND: For many cancer resections, a hospital volume-outcome relationship exists. The data regarding gastric cancer resection-especially in the western hemisphere-are ambiguous. This study analyzes the impact of gastric cancer surgery caseload per hospital on postoperative mortality and failure to rescue in Germany. METHODS: All patients diagnosed with gastric cancer from 2009 to 2017 who underwent gastric resection were identified from nation-wide administrative data. Hospitals were grouped into five equal caseload quintiles (I-V in ascending caseload order). Postoperative deaths and failure to rescue were determined. RESULTS: Forty-six thousand one hundred eighty-seven patients were identified. There was a significant shift from partial resections in low-volume hospitals to more extended resections in high-volume centers. The overall in-house mortality rate was 6.2%. The crude in-hospital mortality rate ranged from 7.9% in quintile I to 4.4% in quintile V, with a significant trend between volume categories (p < 0.001). In the multivariable logistic regression analysis, quintile V hospitals (average of 29 interventions/year) had a risk-adjusted odds ratio of 0.50 (95% CI 0.39-0.65), compared to the baseline in-house mortality rate in quintile I (on average 1.5 interventions/year) (p < 0.001). In an analysis only evaluating hospitals with more than 30 resections per year mortality dropped below 4%. The overall postoperative complication rate was comparable between different volume quintiles, but failure to rescue (FtR) decreased significantly with increasing caseload. CONCLUSION: Patients who had gastric cancer surgery in hospitals with higher volume had better outcomes and a reduced failure to rescue rates for severe complications.

The Role of Frailty in Failure to Rescue After Cardiovascular Surgery.

BACKGROUND: Failure to rescue (FTR) is gaining popularity as a quality metric. The relationship between patient frailty and FTR after cardiovascular surgery has not been fully explored. This study aimed to utilize a national database to examine the impact of patient frailty on FTR. METHODS: Of 5,199,534 patients undergoing cardiovascular surgery between 2000 and 2014, 75,851 (1.5%) were identified from the Nationwide Inpatient Sample database as frail based on the Johns Hopkins Adjusted Clinical Groups frailty-defining diagnoses indicator. Propensity-score matching was used to adjust for patient- and hospital-level characteristics and comorbidities when comparing frail and nonfrail patients. RESULTS: Frail patients were on average older (68 ± 12 years vs 65 ± 12 years; P < .001) and had more comorbidities including heart failure, and chronic lung, liver, or renal disease. Among 68,472 matched pairs, frail patients had significantly higher rates of FTR (13.4% vs 11.9%; P < .001). This contributed to a $39,796 increase in cost per hospitalization (P < .001). Renal failure, respiratory failure, pneumonia, and sepsis were most commonly associated with FTR in frail patients. When hospitals were stratified by risk-adjusted mortality, low-mortality (1st quintile) centers had significantly lower FTR rates and costs among frail patients when compared to high-mortality (5th quintile) centers. CONCLUSIONS: Frailty contributes significantly to FTR after cardiovascular surgery. Frail patients can expect better outcomes with lower costs at cardiac surgical centers of excellence that can adequately manage postoperative outcomes. Preoperative assessment of frailty may better guide risk estimation and identification of patients who would benefit from appropriate prehabilitative interventions to optimize outcomes.

Appendicitis Mortality in a Resource-Limited Setting: Issues of Access and Failure to Rescue.

BACKGROUND: Appendicitis is one of the most common emergency surgery conditions worldwide, and the incidence is increasing in low- and middle-income countries. Disparities in access to care can lead to disproportionate morbidity and mortality in resource-limited settings; however, outcomes following an appendectomy in low- and middle-income countries remain poorly described. Therefore, we aimed to describe the characteristics and outcomes of patients with appendicitis presenting to a tertiary care center in Malawi. METHODS: We conducted a retrospective analysis of the Kamuzu Central Hospital (KCH) Acute Care Surgery database from 2013 to 2020. We included all patients ≥13 years with a postoperative diagnosis of acute appendicitis. We performed bivariate analysis by mortality, followed by a modified Poisson regression analysis to determine predictors of mortality. RESULTS: We treated 214 adults at KCH for acute appendicitis. The majority experienced prehospital delays to care, presenting at least 1 week from symptom onset (n = 99, 46.3%). Twenty (9.4%) patients had appendiceal perforation. Mortality was 5.6%. The presence of a postoperative complication the only statistically significant predictor of mortality (RR 5.1 [CI 1.13-23.03], P = 0.04) when adjusting for age, shock, transferring, and time to presentation. CONCLUSIONS: Delay to intervention due to inadequate access to care predisposes our population for worse postoperative outcomes. The increased risk of mortality associated with resultant surgical complications suggests that failure to rescue is a significant contributor to appendicitis-related deaths at KCH. Improvement in barriers to diagnosis and management of complications is necessary to reduce further preventable deaths from this disease.

Pulmonary complications in trauma: Another bellwether for failure to rescue?

BACKGROUND: Pulmonary complications are the most common adverse event after injury and second greatest cause of failure to rescue (death after pulmonary complications). It is not known whether readily accessible trauma center data can be used to stratify center-level performance for various complications. Performance variation between trauma centers would allow sharing of best practices among otherwise similar hospitals. We hypothesized that high-, average-, and low-performing centers for pulmonary complication and failure to rescue could be identified and that hospital factors associated with success and failure could be discovered. METHODS: Pennsylvania state trauma registry data (2007-2015) were abstracted for pulmonary complications. Burns and age <17 were excluded. Multivariable logistic regression models were developed for pulmonary complication and failure to rescue, using demographics, comorbidities, and injuries/physiology. Expected event rates were compared with observed rates to identify outliers. Center-level variables associated with outcomes of interest were taken from the American Hospital Association Annual Survey Database and assessed for inclusion. RESULTS: Included in the study were 283,121 patients (male [60%] blunt trauma [92%]). Of these patients, 3% (8,381 of 283,121) developed pulmonary complications (center-level range 0.18%-5.8%). The percentage of failure-to-rescue patients was 13.4% (1,120/8,381, center-level range 0.0%-22.6%). For pulmonary complications, 13 out of 27 centers were high performers (95% CI for O:E ratio <1) and 7 out of 27 were low (95% CI for an O:E ratio >1). For failure-to-rescue patients, 2 out of 27 centers were low performers and the remainder average. There was little concordance between performance for pulmonary complications and failure to rescue. Research programs, large non-teaching hospitals, those with advanced practice providers, and those with health maintenance organizations had reduced failure-to-rescue patients. CONCLUSION: Factors associated with complications were distinct from those affecting failure to rescue and center-level success in reducing complications often did not translate into success in preventing death once they occurred. Our data demonstrate that high- and low-performing centers and the factors driving success or failure are identifiable. This work serves as a guide for comparing practices and improving outcomes with readily available data.

Improving Postoperative Rescue Through a Multifaceted Approach.

This article provides a better understanding of how interactions and relationships within hospital microsystems affect rescue. Through structured engagement of clinical champions, these rescue improvement tools may decrease rates of secondary and tertiary complications and enhance staff culture, confidence, and competence. The proposed 3-prong approach sheds light on how health care organizations can better sense, cope with, and respond to the unexpected and changing demands presented by clinically deteriorating postsurgical patients. These interventions lay the groundwork for the further development, testing, and implementation of larger scale rescue-focused initiatives, which could have a direct, population-level impact on mortality.

Hospital Safety-Net Burden Is Associated With Increased Inpatient Mortality and Perioperative Complications After Colectomy.

BACKGROUND: Colectomies are common yet costly, with high surgical-site infection rates. Safety-net hospitals (SNHs) carry a large proportion of uninsured or Medicaid-insured patients, which has been associated with poorer surgical outcomes. Few studies have examined the effect of safety-net burden (SNB) status on colectomy outcomes. We aimed to quantify the independent effects of hospital SNB and surgical site infection (SSI) status on colectomy outcomes, as well as the interaction effect between SSIs and SNB. METHODS: We used the Healthcare Cost and Utilization Project's State Inpatient Databases for California, Florida, New York, Maryland, and Kentucky. We included 459,568 colectomies (2009 to 2014) for analysis, excluding patients age <18 y and rectal cases. The primary and secondary outcomes were inpatient mortality and complications, respectively. RESULTS: Adjusting for patient, procedure, and hospital factors, colectomy patients were more likely to die in-hospital at high-burden SNHs (adjusted OR [aOR]: 1.38, 95% confidence interval [CI]: 1.25-1.51, P < 0.001), compared with low SNB hospitals and to experience perioperative complications (aOR: 1.12, 95% CI: 1.04-1.20, P < 0.01). Colectomy patients with SSIs also had greater odds of in-hospital mortality (aOR: 1.92, 95% CI: 1.83-2.02, P < 0.001) and complications (aOR: 3.65, 95% CI: 3.55-3.75, P < 0.001) compared with those without infections. Patients treated at SNHs who developed a SSI were even more likely to have an additional perioperative complication (aOR: 4.33, 95% CI: 3.98-4.71, P < 0.001). CONCLUSIONS: Our study demonstrated that colectomy patients at SNHs have poorer outcomes, and for patients with SSIs, this disparity was even more pronounced in the likelihood for a complication. SNB should be recognized as a significant hospital-level factor affecting colectomy outcomes, with SSIs as an important quality metric.

The Impact of Socially Stigmatized Preexisting Conditions on Outcomes After Injury.

BACKGROUND: Socially stigmatized preexisting conditions (SSPECs), including alcohol use disorder (AUD), drug use disorder (DUD), and major psychiatric illness, may lead to provider minimization of patient symptoms and have been associated with negative outcomes. However, the impact of SSPECs on failure to rescue (FTR) has not been evaluated. We hypothesized that SSPEC patients would have increased probability of complications, mortality, and FTR. MATERIALS AND METHODS: We performed a retrospective analysis of the 2015 National Trauma Data Bank, including patients aged ≥18 y and excluding burn victims, patients with Injury Severity Score <9, and non-SSPEC patients with drug or alcohol withdrawal. We defined SSPECs using the National Trauma Data Bank's comorbidity recording codes for AUD, DUD, and major psychiatric illnesses. We built multivariable logistic regression models to determine the relationships between SSPECs and complications, mortality, and FTR. RESULTS: We included 365,801 patients (62% male, 76% White, median age 56 y [interquartile range 35-74], median Injury Severity Score 10 [interquartile range 9-17]). After adjusting for patient and injury characteristics, SSPEC patients were more likely to have complications (odds ratio [OR] 1.75, 95% confidence interval [CI] 1.70-1.79), less likely to die (OR 0.43, CI 0.38-0.48), and less likely to have FTR (OR 0.34, CI 0.26-0.43). SSPEC patients had a significantly higher complication rate (12.4% versus 7.2%; P < 0.001). After excluding drug or alcohol withdrawal, the complication rate remained significantly higher for SSPEC patients (9.3% versus 7.2%; P < 0.001). CONCLUSIONS: Although SSPEC patients have lower odds of mortality and FTR, they are at higher probability of complications after injury. Further investigation into the causality behind the higher complications despite lower mortality and FTR is warranted.

Clinical Implications of Maternal Disparities Administrative Data Research.

Administrative data research on maternal racial disparities supports 2 broad clinical inferences. First, failure to rescue in terms of both death and severe maternal morbidity likely accounts for a significant proportion of maternal disparities. Second, risk for adverse outcomes by race is generally differential with risk for cardiovascular complications particularly high for non-Hispanic black women. These differentials suggest that underlying health conditions may represent an important contributor to overall disparities, and optimal longitudinal care utilization with nonobstetric specialists is required to mitigate risk.

Standardized Criteria for Review of Perinatal Suicides and Accidental Drug-Related Deaths.

OBJECTIVE: To estimate the proportion of accidental drug-related deaths and suicides classified as pregnancy-related from 2013 to 2014 (preimplementation of standardized criteria) and 2015 to 2016 (postimplementation). METHODS: Based on Centers for Disease Control and Prevention pregnancy-related death criteria, the Utah Perinatal Mortality Review Committee developed a standardized evaluation tool to assess accidental drug-related death and suicide beginning in 2015. We performed a retrospective case review of all pregnancy-associated deaths (those occurring during pregnancy or 1 year postpartum for any reason) and pregnancy-related deaths (those directly attributable to the pregnancy or postpartum events) evaluated by Utah's Perinatal Mortality Review Committee from 2013 to 2016. We compared the proportion of accidental drug-related deaths and suicides meeting pregnancy-related criteria preimplementation and postimplementation of a standardized criteria checklist tool using Fisher's exact test. We assessed the change in pregnancy-related mortality ratio in Utah from 2013 to 2014 and 2015 to 2016 using test of trend. RESULTS: From 2013 to 2016, there were 80 pregnancy-associated deaths in Utah (2013-2014: n=40; 2015-2016: n=40), and 41 (51%) were pregnancy-related (2013-2014: n=15, 2015-2016: n=26). In 2013-2014 (preimplementation), 12 women died of drug-related deaths or suicides, and only two of these deaths were deemed pregnancy-related (17%). In 2015-2016 (postimplementation), 18 women died of drug-related deaths or suicide, and 94% (n=17/18) of these deaths met one or more of the pregnancy-related criteria on the checklist (P<.001). From 2013 to 2014 to 2015-2016, Utah's overall pregnancy-related mortality ratio more than doubled, from 11.8 of 100,000 to 25.7 of 100,000 (P=.08). CONCLUSION: After application of standardized criteria, the Utah Perinatal Mortality Review Committee determined that pregnancy itself was the inciting event leading to the majority of accidental drug-related deaths or suicides among pregnant and postpartum women. Other maternal mortality review committees may consider a standardized approach to assessing perinatal suicides and accidental drug-related deaths.

Lessons Learned Serving on a Long-Standing Maternal Mortality Review Committee.

The maternal mortality ratio in the United States is increasing; understanding the significance of this change and developing effective responses requires a granular analysis of the contributing factors that a well-informed maternal mortality review committee can provide. Data collection and analysis, clinical factors, preventability, social determinants of health, and racial inequities combine to affect this outcome, and each factor must be considered individually and in combination to recommend a robust response. Obstetrician-gynecologists formed the State of Michigan's Maternal Mortality Review Committee (the Committee) in 1950 to identify gaps in care that needed to be systematically addressed at the time. In the early years, the Committee witnessed a reduction in the number of maternal deaths; over time, prioritization of maternal mortality decreased, yet the Committee witnessed changing patterns of death, varied data collection and evaluation processes, delayed reviews, and unimplemented recommendations. The calculation of the maternal mortality ratio was not informed by the outcomes of Committee reviews. Today, the Committee, with increased support from the Michigan Department of Health & Human Services, can clearly identify and report preventable pregnancy-related mortality along with its causes and is close to achieving a near real-time surveillance system that allows the development of timely clinical and policy recommendations and interventions. The Committee's adaptations in response to the rise in maternal mortality have resulted in several lessons learned that may be helpful for currently operating committees and in the formation of new ones.