Mortality In Emergency General Surgery Research Articles

Association between timing of operative interventions and mortality in emergency general surgery

BackgroundEmergency general surgery (EGS) often demands timely interventions, yet data for triage and timing are limited. This study explores the relationship between hospital arrival-to-operation time and mortality in EGS patients.Study...

Association of Frailty With Morbidity and Mortality in Emergency General Surgery by Procedural Risk Level

In this aging society, older patients are more commonly undergoing emergency general surgery (EGS). Although frailty has been associated with worse outcomes in this population, EGS encompasses a heterogeneous mix of procedures. To determine if the association of frailty with morbidity and mortality in EGS patients varies based on the level of procedural risk. This cross-sectional study analyzed Medicare inpatient claims file (January 2007-December 2015) and included all inpatients who underwent 1 of 7 previously described EGS procedures shown to represent 80% of EGS volume, complications, and mortality nationally. Analysis took place from September 2019 to January 2020. The primary exposure of interest was risk procedural level. EGS procedures were stratified as high risk (excision of small intestine, excision of large intestine, peptic ulcer repair, lysis of peritoneal adhesions, and laparotomy) and low risk (appendectomy and cholecystectomy). The primary outcome was overall 30-day mortality after discharge. Frailty was assessed using a claims-based frailty index. Multivariate logistic regression analysis was used and was stratified by risk level. A total of 882 929 EGS patients were included in this study (mean [SD] age, 77.9 [7.5] years; 483 637 [54%] were female). Overall mortality was 4.5% (n = 40 304). The frailty index classified 12.6% (n = 111 513) of patients as frail, and mortality within this group was 9.9% (n = 11 307). High-risk procedures represented 53% (n = 468 098) of the caseload, and mortality was 6.8% (n = 31 979). For low-risk procedures, mortality was 2% (n = 8325). Frailty was significantly associated with mortality (odds ratio, 1.64; 95% CI, 1.60-1.68). After stratified analysis, this association remained significant for high-risk (odds ratio, 1.53; 95% CI, 1.49-1.58) and low-risk (odds ratio, 2.05; 95% CI, 1.94-2.17) procedures. Frailty was significantly associated with mortality in patients undergoing EGS, with an even greater association in low-risk procedures. Preoperative frailty assessment is imperative even in low-risk procedures.

Multiple Complications in Emergency Surgery : Identifying Risk Factors for Failure-to-Rescue.

While the use of the failure-to-rescue (FTR) metric, or death after complication, has expanded beyond elective surgery to emergency general surgery (EGS), little is known about the trajectories patients take from index complication to death. We conducted a retrospective cohort study of EGS operations using the National Surgical Quality Improvement Project (NSQIP) dataset, 2011-2017. 16 major complications were categorized as infectious, respiratory, thrombotic, cardiac, renal, neurologic, or technical. We tabulated common combinations of complications. We then use logistic regression analyses to test the hypotheses that (1) increase in the number and frequency of complications would yield higher FTR rates and (2) secondary complications that span a greater number of organ systems or mechanisms carry a greater associated FTR risk. Of 329 183 EGS patients, 69 832 (21.2%) experienced at least 1 complication. Of the 11 195 patients who died following complication (16.0%), 8205 (63.4%) suffered more than 1 complication. Multivariable regression analyses revealed an association between the number of complications and mortality risk (odds ratio [OR] 2.37 for 2 complications vs 1, P < .001). There was a similar increase in mortality with increased complication accrual rate (OR 3.29 for 0.2-0.4 complications/day vs <0.2, P < .001). Increasing the number of types of complication were similarly associated with mortality risk. While past FTR analyses have focused primarily on index complication, a broader consideration of ensuing trajectory may enable identification of high-risk cohorts. Efforts to reduce mortality in EGS should focus on attention to those who suffer a complication to prevent a cascade of downstream complications culminating in death.

Geographic Variation in the Utilization of and Mortality After Emergency General Surgery Operations in the Northeastern and Southeastern United States.

To define geographic variations in emergency general surgery (EGS) care, we sought to determine how much variability exists in the rates of EGS operations and subsequent mortality in the Northeastern and Southeastern United States (US). While some geographic variations in healthcare are normal, unwarranted variations raise questions about the quality, appropriateness, and cost-effectiveness of care in different areas. Patients ≥18 years who underwent 1 of 10 common EGS operations were identified using the State Inpatient Databases (2011-2012) for 6 states, representing Northeastern (New York) and Southeastern (Florida, Georgia, Kentucky, North Carolina, Mississippi) US. Geographic unit of analysis was the hospital service area (HSA). Age-standardized rates of operations and in-hospital mortality were calculated and mapped. Differences in rates across geographic areas were compared using the Kruskal-Wallis test, and variance quantified using linear random-effects models. Variation profiles were tabulated via standardized rates of utilization and mortality to compare geographically heterogenous areas. 227,109 EGS operations were geospatially analyzed across the 6 states. Age-standardized EGS operation rates varied significantly by region (Northeast rate of 22.7 EGS operations per 10,000 in population versus Southeast 21.9; P < 0.001), state (ranging from 9.9 to 29.1; P < 0.001), and HSA (1.9-56.7; P < 0.001). The geographic variability in age-standardized EGS mortality rates was also significant at the region level (Northeast mortality rate 7.2 per 1000 operations vs Southeast 7.4; P < 0.001), state-level (ranging from 5.9 to 9.0 deaths per 1000 EGS operations; P < 0.001), and HSA-level (0.0-77.3; P < 0.001). Maps and variation profiles visually exhibited widespread and substantial differences in EGS use and morality. Wide geographic variations exist across 6 Northeastern and Southeastern US states in the rates of EGS operations and subsequent mortality. More detailed geographic analyses are needed to determine the basis of these variations and how they can be minimized.

Association of metabolic syndrome with morbidity and mortality in emergency general surgery

BackgroundMetabolic syndrome (MetS) is defined by numerous comorbidities. We sought to assess MetS’s effect on the 7 main emergency general surgery (EGS) procedures that constitute 80% of EGS procedures, mortalities, complications, and costs. MethodsData were acquired from the ACS-NSQIP database from 2005 to 2017. Current procedural terminology (CPT) codes were utilized to identify cases. Patients with obesity, diabetes, and hypertension were defined as having MetS. MetS and non-MetS cohorts were propensity score matched, compared by outcomes, and assessed with multivariate logistic regression to attain odds ratios (OR). ResultsOf 752,023 cases, 41,788 (5.6%) MetS cases were identified. Significant outcomes included superficial infection (OR: 1.51), pulmonary complications (OR: 1.17), renal complications (OR: 1.82), cumulative morbidity (OR: 1.22), and hospital readmission (OR: 1.41). ConclusionsFor patients undergoing these procedures, MetS increased risk for comorbidities and hospital readmission. MetS had a significant impact on mortality only for appendectomy.

Acute Care Surgery Model Associated with Decreased Mortality in Emergency General Surgery

To, Kathleen B. MD; Kamdar, Neil S. MA; Patil, Preethi MPH; Collins, Stacey D. MA; Seese, Elizabeth MS, CCRC; Krapohl, Greta L. PhD, RN; Campbell, Darrell MD; Englesbe, Michael J. MD; Hemmila, Mark R. MD; Napolitano, Lena M. MD Author Information

Surgeon-driven variability in emergency general surgery outcomes: Does it matter who is on call?

BackgroundHospital-level variation has been found to influence outcomes in emergency general surgery. However, whether the individual surgeon plays a role in this variation is unknown. MethodsWe performed an analysis of the Florida State Inpatient Database (2010–2014), which is linked to the American Hospital Association's Annual Survey Database, including patients who emergently underwent 1 or more of 7 procedures (laparotomy, adhesiolysis, small bowel resection, colectomy, repair of a perforated gastric ulcer, appendectomy, or cholecystectomy). We used multilevel random effects modeling to quantify the amount of variation in mortality, complications, and 30-day readmissions attributable to surgeons. Patient clinical and demographic factors, as well as hospital-level factors, were introduced into the model in a forward stepwise fashion, and the percent of the variation attributable to surgeons was derived. ResultsOur study included 2,149 surgeons across 224 hospitals, with a total of 569,767 emergency general surgery cases. The overall unadjusted mortality rate was 3.8%, and the complication and readmission rates were 12.7% and 27.7%, respectively. Surgeon-level variation had the greatest impact on mortality, explaining 32.77% of the overall variability in mortality risk compared with 0.08% and 2.28% for complications and readmissions, respectively. Peptic ulcer disease operations were most susceptible to surgeon-level variation in mortality and readmissions, whereas appendectomies and cholecystectomies were least susceptible to surgeon-level variation for all outcomes. ConclusionsSurgeon-level variation contributes to a significant portion of mortality in EGS. This variation is most pronounced in surgery for peptic ulcer disease, a high-risk, low-frequency surgical condition. Programs to reduce mortality in emergency general surgery should address reducing variability in practice with attention to high-risk, low-frequency procedures.

How has the Affordable Care Act changed outcomes in emergency general surgery?

Lack of insurance coverage increases complications and mortality from surgical procedures. The 2014 Affordable Care Act (ACA) Open Enrollment (OE) insured more Americans, but it is unknown if this improved outcomes from emergency general surgery (EGS) procedures. This study seeks to determine how ACA OE coverage changes outcomes in EGS. This is a retrospective review using the Nationwide Inpatient Sample database from 2012 to 2014. Patients aged 18 to 64 years undergoing EGS procedures were identified by International Classification of Diseases, Ninth Revision, codes. Medicare patients were excluded. Patient demographics, hospital characteristics, and Charlson comorbidity index were obtained. Outcomes were measured by mortality, complications, and calculated costs. Univariate and difference-in-differences multivariate analyses were performed to determine the effect of the ACA OE on EGS outcomes. A total of 304,110 EGS cases were identified. After Medicare patients were excluded, there were 275,425 cases. In 2014, Medicaid admissions increased 18.2% from 18,495 to 22,615 (p < 0.001) and self-pay admissions decreased 33% from 14,938 to 10,630 (p < 0.001). Mortality significantly increased for self-pay patients in 2014 from 0.81% to 1.22% (p < 0.001). Difference-in-differences analysis indicated that, after risk adjustment, the ACA OE was associated with a small reduction in mortality for insured patients (-0.12%, p = 0.034), increased complications (1.4%, p = 0.009), and increased wage-index adjusted mean costs (4.6%, p < 0.001). There was a significant increase in Medicare (+26.5%) and private (+12.2%, p < 0.001) insurance admissions in teaching hospitals, while nonteaching hospitals had fewer EGS admissions with a greater reduction in uninsured EGS admissions. The ACA OE created a significant reduction in uninsured EGS admissions but did not reduce EGS mortality. Mortality decreased in insured patients but increased in uninsured patients, indicating that the ACA OE primarily insured lower-risk patients. The ACA OE did increase cost and complications in insured admissions. Teaching hospitals saw the majority of the increase in Medicaid and private insurance EGS admissions. A national registry would improve future study of insurance policy on EGS outcomes. Economic analysis, level IV.

Lower emergency general surgery (EGS) mortality among hospitals with higher-quality trauma care.

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. 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. 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). 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. Epidemiological, level III; Care management, level IV.

Critical differences between elective and emergency surgery: identifying domains for quality improvement in emergency general surgery

ObjectiveThe objective of our study was to characterize providers' impressions of factors contributing to disproportionate rates of morbidity and mortality in emergency general surgery to identify targets for care quality improvement. BackgroundEmergency general surgery is characterized by a high-cost burden and disproportionate morbidity and mortality. Factors contributing to these observed disparities are not comprehensively understood and targets for quality improvement have not been formally developed. MethodsUsing a grounded theory approach, emergency general surgery providers were recruited through purposive-criterion–based sampling to participate in semi-structured interviews and focus groups. Participants were asked to identify contributors to emergency general surgery outcomes, to define effective care for EGS patients, and to describe operating room team structure. Interviews were performed to thematic saturation. Transcripts were iteratively coded and analyzed within and across cases to identify emergent themes. Member checking was performed to establish credibility of the findings. ResultsA total of 40 participants from 5 academic hospitals participated in either individual interviews (n = 25 [9 anesthesia, 12 surgery, 4 nursing]) or focus groups (n = 2 [15 nursing]). Emergency general surgery was characterized by an exceptionally high level of variability, which can be subcategorized as patient-variability (acute physiology and comorbidities) and system-variability (operating room resources and workforce). Multidisciplinary communication is identified as a modifier to variability in emergency general surgery; however, nursing is often left out of early communication exchanges. ConclusionCritical variability in emergency general surgery may impact outcomes. Patient-variability and system-variability, with focus on multidisciplinary communication, represent potential domains for quality improvement in this field.

Socioeconomic factors and mortality in emergency general surgery: trends over a 20-year period

BackgroundSocioeconomic factors such as race, insurance, and income quartiles have been identified as independent risk factors in emergency general surgery (EGS), but this impact has not been studied over time. We sought to identify trends in disparities in EGS-related operative mortality over a 20-y period. MethodsThe National Inpatient Sample was used to identify patient encounters coded for EGS in 1993, 2003, and 2013. Logistic regression models were used to examine the adjusted relationship between race, primary payer status, and median income quartiles and in-hospital mortality after adjusting for patients' age, gender, Elixhauser comorbidity score, and hospital region, size, and location-cum-teaching status. ResultsWe identified 391,040 patient encounters. In 1993, Black race was associated with higher odds of in-hospital mortality (odds ratio [95% confidence interval]: 1.35 [1.20-1.53]) than White race, although this difference dissipated in subsequent years. Medicare, Medicaid, and underinsured patients had a higher odds of mortality than those with private insurance for the entire 20-y period; only the disparity in the underinsured decreased over time (1993, 1.63 [1.35-1.98]; 2013, 1.41 [1.20-1.67]). In 2003 (1.23 [1.10-1.38]) and 2013 (1.23 [1.11-1.37]), patients from the lowest income quartile were more likely to die after EGS than patients from the highest income quartile. ConclusionsSocioeconomic disparities in EGS-related operative morality followed inconsistent trends. Over time, while gaps in in-hospital mortality among Blacks and Whites have narrowed, disparities among patients belonging to lowest income quartile have worsened. Medicare and Medicaid beneficiaries continued to experience higher odds of in-hospital mortality relative to those with private insurance.

Use of National Burden to Define Operative Emergency General Surgery.

Emergency general surgery (EGS) represents 11% of surgical admissions and 50% of surgical mortality in the United States. However, there is currently no established definition of the EGS procedures. To define a set of procedures accounting for at least 80% of the national burden of operative EGS. A retrospective review was conducted using data from the 2008-2011 National Inpatient Sample. Adults (age, ≥18 years) with primary EGS diagnoses consistent with the American Association for the Surgery of Trauma definition, admitted urgently or emergently, who underwent an operative procedure within 2 days of admission were included in the analyses. Procedures were ranked to account for national mortality and complication burden. Among ranked procedures, contributions to total EGS frequency, mortality, and hospital costs were assessed. The data query and analysis were performed between November 15, 2015, and February 16, 2016. Overall procedure frequency, in-hospital mortality, major complications, and inpatient costs calculated per 3-digit International Classification of Diseases, Ninth Revision, Clinical Modification procedure codes. The study identified 421 476 patient encounters associated with operative EGS, weighted to represent 2.1 million nationally over the 4-year study period. The overall mortality rate was 1.23% (95% CI, 1.18%-1.28%), the complication rate was 15.0% (95% CI, 14.6%-15.3%), and mean cost per admission was $13 241 (95% CI, $12 957-$13 525). After ranking the 35 procedure groups by contribution to EGS mortality and morbidity burden, a final set of 7 operative EGS procedures were identified, which collectively accounted for 80.0% of procedures, 80.3% of deaths, 78.9% of complications, and 80.2% of inpatient costs nationwide. These 7 procedures included partial colectomy, small-bowel resection, cholecystectomy, operative management of peptic ulcer disease, lysis of peritoneal adhesions, appendectomy, and laparotomy. Only 7 procedures account for most admissions, deaths, complications, and inpatient costs attributable to the 512 079 EGS procedures performed in the United States each year. National quality benchmarks and cost reduction efforts should focus on these common, complicated, and costly EGS procedures.

Preoperative Myocardial Injury as a Predictor of Mortality in Emergency General Surgery: An Analysis Using the American College of Surgeons NSQIP Database

Recent studies have linked postoperative serum troponin elevation to mortality in a range of different clinical scenarios. To date, there has been no investigation into the significance of preoperative troponin elevation in emergency general surgery (EGS) patients. We define this as preoperative myocardial injury (PMI). We hypothesize that PMI seen in EGS patients may predict postoperative morbidity and mortality. Using the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database, we performed a retrospective review of all EGS cases between 2008 and 2014. Patients with preoperative troponin I drawn were compared. There were 464 EGS patients who had troponin I measurements preoperatively. Eighty-two (18%) had preoperative troponin elevations. Patients with PMI were more likely to have the following preoperative physiologic derangements: acute renal failure (18% vs 4%; p= 0.002) and septic shock (40% vs 13%; p < 0.001). Patient comorbidities associated with PMI included congestive heart failure (13% vs 3%; p= 0.007), dialysis dependence (16% vs 3%; p= 0.002), and American Society of Anesthesiologists (ASA) class ≥ 4 (52% vs 29%; p < 0.001). Compared with controls, patients with PMI had higher rates of postoperative events (77% vs 52%; p < 0.001) and mortality (34% vs 13%; p= 0.009). Univariate analysis showed that patients with PMI had an increased risk of postoperative events (odds ratio [OR] 3.02; 95% CI 1.74 to 5.25) and mortality (OR 3.53; 95% CI 1.66 to 7.47). Multivariate analysis revealed preoperative troponin I elevation was an independent predictor of mortality (OR 3.03; 95% CI 1.19 to 7.72, p= 0.020). Emergency general surgery patients with PMI are at increased risk for postoperative events and death. Preoperative myocardial injury is an independent predictor of mortality and has prognostic utility that can prepare surgical teams for adverse events so that they can be recognized, evaluated, and treated earlier.

Persistent lymphopenia is an independent predictor of mortality in critically ill emergency general surgical patients.

Lymphopenia has been associated with poor outcome following sepsis, burns and trauma. This study was designed to establish whether lymphocyte count was associated with mortality in emergency general surgery (EGS) patients, and whether persistent lymphopenia was an independent predictor of mortality. A retrospective review of a prospectively compiled database of adult patients requiring ICU admission between 2002 and 2013 was performed. EGS patients with acute intra-abdominal pathology and organ dysfunction were included. Lymphocyte counts obtained from the day of ICU admission through to day 7 were examined. Multivariate logistic regression models were used to determine the relationship between persistent lymphopenia and outcome. The primary outcome measure was in-hospital mortality. The study included 173 patients, of whom 135 (78%) had a low lymphocyte count at admission to ICU and 91% (158/173) developed lymphopenia on at least one occasion. Lymphocyte counts were lower among non-survivors compared with survivors on each day from day 2 (0.62 vs 0.81, p=0.03) through to day 7 (0.87 vs 1.15, p<0.01). Patients with a persistently low lymphocyte count during the study period had significantly higher mortality when compared to patients with other lymphocyte patterns (64 vs 29%, p<0.01). On multivariate regression analysis, persistent lymphopenia was independently associated with increased in-hospital mortality [odds ratio 3.5 (95% CI 1.7-7.3), p<0.01]. Lymphopenia is commonly observed in critically ill EGS patients. Patients with persistent lymphopenia are 3.5 times more likely to die and lymphopenia is an independent predictor of increased mortality in this patient group.

Acute Care Surgery: Defining Mortality in Emergency General Surgery in the State of Maryland

Emergency general surgery (EGS) is a major component of acute care surgery, however, limited data exist on mortality with respect to trauma center (TC) designation. We hypothesized that mortality would be lower for EGS patients treated at a TC vs non-TC (NTC). A retrospective review of the Maryland Health Services Cost Review Commission database from 2009 to 2013 was performed. The American Association for the Surgery of Trauma EGS ICD-9 codes were used to identify EGS patients. Data collected included demographics, TC designation, emergency department admissions, and All Patients Refined Severity of Illness (APR_SOI). Trauma center designation was used as a marker of a formal acute care surgery program. Primary outcomes included in-hospital mortality. Multivariable logistic regression analysis was performed controlling for age. There were 817,942 EGS encounters. Mean ± SD age of patients was 60.1 ± 18.7 years, 46.5% were males; 71.1% of encounters were at NTCs; and 75.8% were emergency department admissions. Overall mortality was 4.05%. Mortality was calculated based on TC designation controlling for age across APR_SOI strata. Multivariable logistic regression analysis did not show statistically significant differences in mortality between hospital levels for minor APR_SOI. For moderate APR_SOI, mortality was significantly lower for TCs compared with NTCs (p < 0.001). Among TCs, the effect was strongest for Level I TC (odds ratio = 0.34). For extreme APR_SOI, mortality was higher at TCs vs NTCs (p < 0.001). Emergency general surgery patients treated at TCs had lower mortality for moderate APR_SOI, but increased mortality for extreme APR_SOI when compared with NTCs. Additional investigation is required to better evaluate this unexpected finding.

Comparison of Hospital Performance in Trauma vs Emergency and Elective General Surgery

As emergency general surgery (EMGS) and trauma care are increasingly being provided by the same personnel with overlapping resources, we postulated that the quality of care provided to EMGS and trauma patients would be similar. We also evaluated the relationship between trauma and elective general surgery (ELGS) care, believing that performance would be similar across these services as it reflects institutional culture. Retrospective cohort study comparing hospital performance in trauma and EMGS care and in trauma and ELGS care. Regression models for mortality and serious morbidity were constructed for trauma, EMGS, and ELGS hospitals contributing to both the National Trauma Data Bank (2007) and American College of Surgeons National Surgical Quality Improvement Program (2005-2008). Forty-six hospitals. Correlations of observed to expected ratios were examined. Outlier status (hospitals with CIs of observed to expected ratios excluding 1.0) was compared using weighted . There was no significant relationship between trauma and EMGS mortality (r=-0.01, P=.94; =-0.10, P=.61) or between trauma and ELGS mortality (r=0.23, P=.12; =0.07, P=.62). There was no significant relationship between trauma and EMGS morbidity (r=0.21, P=.17; =0.04, P=.63) or between trauma and ELGS morbidity (r=0.16, P=.30; =0.11, P=.37). No hospitals were consistently low or high outliers across all 3 groups. Trauma performance improvement programs are well established compared with those for EMGS. Although EMGS patients use similar structures and processes as trauma patients, there is a lack of correlation between the quality of care provided to trauma and EMGS patients; EMGS should be incorporated into trauma performance improvement programs.