Evaluating the association between American Association for the Surgery of Trauma emergency general surgery anatomic severity grades and clinical outcomes using national claims data

Efficacy of Group O Washed Red Blood Cell Transfusion on Vital Signs and Hematologic Stability in Trauma Patients With Different Blood Types

Objective

To comprehensively assess the impact of emergency transfusion of group O washed red blood cells on the vital signs and hematological parameters of patients with severe trauma and to analyze the differential responses among different blood types, thereby providing valuable evidence for optimizing transfusion strategies.

Methods

A retrospective analysis was conducted on the clinical data of patients with severe trauma who underwent emergency transfusion in the hospital's emergency department from April 2023 to March 2024. Changes in blood biochemical indexes and vital signs before and after transfusion were compared, and adverse transfusion reactions were monitored.

Results

A total of 65 patients were included in the study, and no adverse transfusion reactions were observed. The shock index (SI) score was 1.07 ± 0.28. Significant changes were noted in platelet count (PLT), activated partial thromboplastin time (APTT), and C-reactive protein (CRP) following transfusion (P < 0.05). Both blood pressure and SI enhanced significantly after transfusion (P < 0.05), although no significant change in heart rate (HR) was detected (P = 0.87). Patients with blood group A experienced a significant reduction in HR post-transfusion. In patients with blood groups AB or O, systolic blood pressure (SBP) significantly increased, and SI significantly decreased. Additionally, patients with blood group O revealed a significant rise in diastolic blood pressure (DBP) post-transfusion, with the differences being statistically significant (P < 0.05).

Conclusion

Timely and effective transfusion of group O washed red blood cells is crucial for stabilizing the vital signs of patients with severe trauma. This approach is not only safe but also feasible, with blood type influencing the response to transfusion. Larger, multi-center studies are warranted to further validate these findings and enhance the generalizability.

Travel Time as an Indicator of Poor Access to Care in Surgical Emergencies

Importance

Timely access to care is a key metric for health care systems and is particularly important in conditions that acutely worsen with delays in care, including surgical emergencies. However, the association between travel time to emergency care and risk for complex presentation is poorly understood.

Objective

To evaluate the impact of travel time on disease complexity at presentation among people with emergency general surgery conditions and to evaluate whether travel time was associated with clinical outcomes and measures of increased health resource utilization.

Design, Setting, and Participants

This retrospective cohort study used administrative statewide inpatient and emergency department databases with linkage across encounters, including nearly every inpatient or emergency department encounter in the states of Florida and California in 2021. Participants included adult patients who presented to an emergency department with 1 of 5 common emergency surgical conditions. Data were collected from January to December 2021 and analyzed from June to December 2023.

Exposure

The primary exposure was travel time from the patient's home to the facility where they initially received emergency care.

Main Outcomes and Measures

The primary outcome of interest was surgical disease complexity at the time of presentation to emergency care. Secondary outcomes included inpatient complications, mortality, and indicators of health system resource utilization. Multivariable logistic regression models were used, and adjusted odds ratios (aOR) and 95% CIs were reported.

Results

Among 190 311 adults with emergency general surgery conditions, 7138 (3.8%) lived further than 60 minutes from the facility where they sought emergency care. Longer travel times were associated with higher odds of complex disease presentation for travel time of more than 120 minutes vs 15 minutes or less (aOR, 1.28; 95% CI, 1.17-1.40). Patients with a travel time 60 minutes or more were more likely to require operative intervention (aOR, 1.17; 95% CI, 1.10-1.26), inpatient admission (aOR, 1.41; 95% CI, 1.33-1.50), interfacility transfer (aOR, 1.32; 95% CI, 1.15-1.51), and longer inpatient stay (adjusted mean difference, 0.47 days; 95% CI, 0.35-0.59), and had higher charges (adjusted mean difference, $8284; 95% CI, $5532-$11 035).

Conclusions and Relevance

In this cohort study of patients with emergency surgical conditions, travel time to emergency care was associated with markers of delayed presentation and increased facility resource utilization. As opposed to static measures, such as rurality, travel time may serve as a more useful metric to inform policy efforts aimed at preserving access to care amidst rural hospital closures and regionalization.

Application of Community Detection Methods to Identify Emergency General Surgery-Specific Regional Networks

Importance

There is growing interest in developing coordinated regional systems for nontraumatic surgical emergencies; however, our understanding of existing emergency general surgery (EGS) care communities is limited.

Objective

To apply network analysis methods to delineate EGS care regions and compare the performance of this method with the Dartmouth Health Referral Regions (HRRs).

Design, Setting, and Participants

This cross-sectional study was conducted using the 2019 California and New York state emergency department and inpatient databases. Eligible participants included all adult patients with a nonelective admission for common EGS conditions. Interhospital transfers (IHTs) were identified by transfer indicators or temporally adjacent hospitalizations at 2 different facilities. Data analysis was conducted from January to May 2024.

Exposure

Admission for primary EGS diagnosis.

Main Outcomes and Measures

Regional EGS networks (RENs) were delineated by modularity optimization (MO), a community detection method, and compared with the plurality-based Dartmouth HRRs. Geographic boundaries were compared through visualization of patient flows and associated health care regions. Spatial accuracy of the 2 methods was compared using 6 common network analysis measures: localization index (LI), market share index (MSI), net patient flow, connectivity, compactness, and modularity.

Results

A total of 1 244 868 participants (median [IQR] age, 55 [37-70 years]; 776 725 male [62.40%]) were admitted with a primary EGS diagnosis. In New York, there were 405 493 EGS encounters with 3212 IHTs (0.79%), and 9 RENs were detected using MO compared with 10 Dartmouth HRRs. In California, there were 839 375 encounters with 10 037 IHTs (1.20%), and 14 RENs were detected compared with 24 HRRs. The greatest discrepancy between REN and HRR boundaries was in rural regions where one REN often encompassed multiple HRRs. The MO method was significantly better than HRRs in identifying care networks that accurately captured patients living within the geographic region as indicated by the LI and MSI for New York (mean [SD] LI, 0.86 [1.00] for REN vs 0.74 [1.00] for HRR; mean [SD] MSI, 0.16 [0.13] for REN vs 0.32 [0.21] for HRR) and California (mean [SD] LI, 0.83 [1.00] for REN vs 0.74 [1.00] for HRR; mean [SD] MSI, 0.19 [0.14] for REN vs 0.39 [0.43] for HRR). Nearly 27% of New York hospitals (37 of 139 hospitals [26.62%]) and 15% of California hospitals (48 of 336 hospitals [14.29%]) were reclassified into a different community with the MO method.

Conclusions and Relevance

Development of optimal health delivery systems for EGS patients will require knowledge of care patterns specific to this population. The findings of this cross-sectional study suggest that network science methods, such as MO, offer opportunities to identify empirical EGS care regions that outperform HRRs and can be applied in the development of coordinated regional systems of care.

Defining the emergency general surgery patient population in the era of ICD-10 : Evaluating an established crosswalk from ICD-9 to ICD-10 diagnosis codes

INTRODUCTION

In 2015, the United States moved from the International Classification of Diseases, Ninth Revision ( ICD-9 ), to the International Classification of Diseases, Tenth Revision ( ICD-10 ), coding system. The American Association for the Surgery of Trauma Committee on Severity Assessment and Patient Outcomes previously established a list of ICD-9 diagnoses to define the field of emergency general surgery (EGS). This study evaluates the general equivalence mapping (GEM) crosswalk to generate an equivalent list of ICD-10 -coded EGS diagnoses.

METHODS

The GEM was used to generate a list of ICD-10 codes corresponding to the American Association for the Surgery of Trauma ICD-9 EGS diagnosis codes. These individual ICD-9 and ICD-10 codes were aggregated by surgical area and diagnosis groups. The volume of patients admitted with these diagnoses in the National Inpatient Sample in the ICD-9 era (2013-2014) was compared with the ICD-10 volumes to generate observed to expected ratios. The crosswalk was manually reviewed to identify the causes of discrepancies between the ICD-9 and ICD-10 lists.

RESULTS

There were 485 ICD-9 codes, across 89 diagnosis categories and 11 surgical areas, which mapped to 1,206 unique ICD-10 codes. A total of 196 (40%) ICD-9 codes have an exact one-to-one match with an ICD-10 code. The median observed to expected ratio among the diagnosis groups for a primary diagnosis was 0.98 (interquartile range, 0.82-1.12). There were five key issues identified with the ability of the GEM to crosswalk ICD-9 EGS diagnoses to ICD-10 : (1) changes in admission volumes, (2) loss of necessary modifiers, (3) lack of specific ICD-10 code, (4) mapping to a different condition, and (5) change in coding nomenclature.

CONCLUSION

The GEM provides a reasonable crosswalk for researchers and others to use when attempting to identify EGS patients in with ICD-10 diagnosis codes. However, we identify key issues and deficiencies, which must be accounted for to create an accurate patient cohort. This is essential for ensuring the validity of policy, quality improvement, and clinical research work anchored in ICD-10 coded data.

LEVEL OF EVIDENCE

Diagnostic Test/Criteria; Level III.

Association of Intellectual Disability with Delayed Presentation and Worse Outcomes in Emergency General Surgery

OBJECTIVE

To examine the association between intellectual disability and both severity of disease and clinical outcomes among patients presenting with common emergency general surgery (EGS) conditions.

BACKGROUND

Accurate and timely diagnosis of EGS conditions is crucial for optimal management and patient outcomes. Individuals with intellectual disabilities may be at increased risk of delayed presentation and worse outcomes for EGS; however, little is known about surgical outcomes in this population.

METHODS

Using the 2012-2017 Nationwide Inpatient Sample, we conducted a retrospective cohort analysis of adult patients admitted for 9 common EGS conditions. We performed multivariable logistic and linear regression to examine the association between intellectual disability and the following outcomes: EGS disease severity at presentation, any surgery, complications, mortality, length of stay, discharge disposition, and inpatient costs. Analyses were adjusted for patient demographics and facility traits.

RESULTS

Of 1,317,572 adult EGS admissions, 5,062 (0.38%) patients had a concurrent ICD-9/-10 code consistent with intellectual disability. EGS patients with intellectual disabilities had 31% higher odds of more severe disease at presentation compared with neurotypical patients (aOR 1.31; 95% CI 1.17-1.48). Intellectual disability was also associated with a higher rate of complications and mortality, longer lengths of stay, lower rate of discharge to home, and higher inpatient costs.

CONCLUSION

EGS patients with intellectual disabilities are at increased risk of more severe presentation and worse outcomes. The underlying causes of delayed presentation and worse outcomes must be better characterized to address the disparities in surgical care for this often under-recognized but highly vulnerable population.

High Deductibles are Associated With Severe Disease, Catastrophic Out-of-Pocket Payments for Emergency Surgical Conditions

BACKGROUND

Out-of-pocket spending has risen for individuals with private health insurance, yet little is known about the unintended consequences that high levels of cost-sharing may have on delayed clinical presentation and financial outcomes for common emergency surgical conditions.

METHODS

In this retrospective analysis of claims data from a large commercial insurer (2016-2019), we identified adult inpatient admissions following emergency department presentation for common emergency surgical conditions (eg, appendicitis, cholecystitis, diverticulitis, and intestinal obstruction). Primary exposure of interest was enrollment in a high-deductible health insurance plan (HDHP). Our primary outcome was disease severity at presentation-determined using ICD-10-CM diagnoses codes and based on validated measures of anatomic severity (eg, perforation, abscess, diffuse peritonitis). Our secondary outcome was catastrophic out-of-pocket spending, defined by the World Health Organization as out-of-pocket spending >10% of annual income.

RESULTS

Among 43,516 patients [mean age 48.4 (SD: 11.9) years; 51% female], 41% were enrolled HDHPs. Despite being younger, healthier, wealthier, and more educated, HDHP enrollees were more likely to present with more severe disease (28.5% vs 21.3%, P <0.001; odds ratio (OR): 1.34, 95% CI: 1.28-1.42]); even after adjusting for relevant demographics (adjusted OR: 1.23, 95% CI: 1.18-1.31). HDHP enrollees were also more likely to incur 30-day out-of-pocket spending that exceeded 10% of annual income (20.8% vs 6.4%, adjusted OR: 3.93, 95% CI: 3.65-4.24). Lower-income patients, Black patients, and Hispanic patients were at highest risk of financial strain.

CONCLUSIONS

For privately insured patients presenting with common surgical emergencies, high-deductible health plans are associated with increased disease severity at admission and a greater financial burden after discharge-especially for vulnerable populations. Strategies are needed to improve financial risk protection for common surgical emergencies.

Racial and ethnic disparities in interhospital transfer for complex emergency general surgical disease across the United States

BACKGROUND

Differential access to specialty surgical care can drive health care disparities, and interhospital transfer (IHT) is one mechanism through which access barriers can be realized for vulnerable populations. The association between race/ethnicity and IHT for patients presenting with complex emergency general surgery (EGS) disease is understudied.

METHODS

Using the 2019 Nationwide Emergency Department Sample, we identified patients 18 years and older with 1 of 13 complex EGS diseases based on International Classification of Diseases, Tenth Revision , diagnosis codes. The primary outcome was IHT. A series of weighted logistic regression models was created to determine the association of race/ethnicity with the primary outcome while controlling for patient and hospital characteristics.

RESULTS

Of 387,610 weighted patient encounters from 989 hospitals, 59,395 patients (15.3%) underwent IHT. Compared with non-Hispanic White patients, rates of IHT were significantly lower for non-Hispanic Black (15% vs. 17%; unadjusted odds ratio (uOR) [95% confidence interval (CI)], 0.58 [0.49-0.68]; p < 0.001), Hispanic/Latinx (HL) (9.0% vs. 17%; uOR [95% CI], 0.48 [0.43-0.54]; p < 0.001), Asian/Pacific Islander (Asian/PI) (11% vs. 17%; uOR [95% CI], 0.84 [0.78-0.91]; p < 0.001), and other race/ethnicity (12% vs. 17%; uOR [95% CI], 0.68 [0.57-0.81]; p < 0.001) patients. In multivariable models, the adjusted odds of IHT remained significantly lower for HL (adjusted odds ratio [95% CI], 0.76 [0.72-0.83]; p < 0.001) and Asian/PI patients (adjusted odds ratio [95% CI], 0.73 [0.62-0.86]; p < 0.001) but not for non-Hispanic Black and other race/ethnicity patients ( p > 0.05).

CONCLUSION

In a nationally representative sample of emergency departments across the United States, patients of minority race/ethnicity presenting with complex EGS disease were less likely to undergo IHT when compared with non-Hispanic White patients. Disparities persisted for HL and Asian/PI patients when controlling for comorbid conditions, hospital and residential geography, neighborhood socioeconomic status, and insurance; these patients may face unique barriers in accessing surgical care.

LEVEL OF EVIDENCE

Prognostic and Epidemiologic; Level III.

Greater spatial access to care is associated with lower mortality for emergency general surgery

BACKGROUND

Emergency general surgery (EGS) diseases are time-sensitive conditions that require urgent surgical evaluation, yet the effect of geographic access to care on outcomes remains unclear. We examined the association of spatial access with outcomes for common EGS conditions.

METHODS

A retrospective analysis of twelve 2014 State Inpatient Databases, identifying adults admitted with eight EGS conditions, was performed. We assessed spatial access using the spatial access ratio (SPAR)-an advanced spatial model that accounts for travel distance, hospital capacity, and population demand, normalized against the national mean. Multivariable regression models adjusting for patient and hospital factors were used to evaluate the association between SPAR with (a) in-hospital mortality and (b) major morbidity.

RESULTS

A total of 877,928 admissions, of which 104,332 (2.4%) were in the lowest-access category (SPAR, 0) and 578,947 (66%) were in the high-access category (SPAR, ≥1), were analyzed. Low-access patients were more likely to be White, male, and treated in nonteaching hospitals. Low-access patients also had higher incidence of complex EGS disease (low access, 31% vs. high access, 12%; p < 0.001) and in-hospital mortality (4.4% vs. 2.5%, p < 0.05). When adjusted for confounding factors, including presence of advanced hospital resources, increasing spatial access was protective against in-hospital mortality (adjusted odds ratio, 0.95; 95% confidence interval, 0.94-0.97; p < 0.001). Spatial access was not significantly associated with major morbidity.

CONCLUSION

This is the first study to demonstrate that geospatial access to surgical care is associated with incidence of complex EGS disease and that increasing spatial access to care is independently associated with lower in-hospital mortality. These results support the consideration of spatial access in the development of regional health systems for EGS care.

LEVEL OF EVIDENCE

Prognostic and Epidemiologic; Level III.

Impact of COVID-19 on common non-elective general surgery diagnoses

BACKGROUND

During the COVID-19 pandemic, public health and hospital policies were enacted to decrease virus transmission and increase hospital capacity. Our aim was to understand the association between COVID-19 positivity rates and patient presentation with EGS diagnoses during the COVID pandemic compared to historical controls.

METHODS

In this cohort study, we identified patients ≥ 18 years who presented to an urgent care, freestanding ED, or acute care hospital in a regional health system with selected EGS diagnoses during the pandemic (March 17, 2020 to February 17, 2021) and compared them to a pre-pandemic cohort (March 17, 2019 to February 17, 2020). Outcomes of interest were number of EGS-related visits per month, length of stay (LOS), 30-day mortality and 30-day readmission.

RESULTS

There were 7908 patients in the pre-pandemic and 6771 in the pandemic cohort. The most common diagnoses in both were diverticulitis (29.6%), small bowel obstruction (28.8%), and appendicitis (20.8%). The lowest relative volume of EGS patients was seen in the first two months of the pandemic period (29% and 40% decrease). A higher percentage of patients were managed at a freestanding ED (9.6% vs. 8.1%) and patients who were admitted were more likely to be managed at a smaller hospital during the pandemic. Rates of surgical intervention were not different. There was no difference in use of ICU, ventilator requirement, or LOS. Higher 30-day readmission and lower 30-day mortality were seen in the pandemic cohort.

CONCLUSIONS

In the setting of the COVID pandemic, there was a decrease in visits with EGS diagnoses. The increase in visits managed at freestanding ED may reflect resources dedicated to supporting outpatient non-operative management and lack of bed availability during COVID surges. There was no evidence of a rebound in EGS case volume or substantial increase in severity of disease after a surge declined.

Reconceptualizing high-quality emergency general surgery care: Non-mortality-based quality metrics enable meaningful and consistent assessment

BACKGROUND

Ongoing efforts to promote quality-improvement in emergency general surgery (EGS) have made substantial strides but lack clear definitions of what constitutes "high-quality" EGS care. To address this concern, we developed a novel set of five non-mortality-based quality metrics broadly applicable to the care of all EGS patients and sought to discern whether (1) they can be used to identify groups of best-performing EGS hospitals, (2) results are similar for simple versus complex EGS severity in both adult (18-64 years) and older adult (≥65 years) populations, and (3) best performance is associated with differences in hospital-level factors.

METHODS

Patients hospitalized with 1-of-16 American Association for the Surgery of Trauma-defined EGS conditions were identified in the 2019 Nationwide Readmissions Database. They were stratified by age/severity into four cohorts: simple adults, complex adults, simple older adults, complex older adults. Within each cohort, risk-adjusted hierarchical models were used to calculate condition-specific risk-standardized quality metrics. K-means cluster analysis identified hospitals with similar performance, and multinomial regression identified predictors of resultant "best/average/worst" EGS care.

RESULTS

A total of 1,130,496 admissions from 984 hospitals were included (40.6% simple adults, 13.5% complex adults, 39.5% simple older adults, and 6.4% complex older adults). Within each cohort, K-means cluster analysis identified three groups ("best/average/worst"). Cluster assignment was highly conserved with 95.3% of hospitals assigned to the same cluster in each cohort. It was associated with consistently best/average/worst performance across differences in outcomes (5×) and EGS conditions (16×). When examined for associations with hospital-level factors, best-performing hospitals were those with the largest EGS volume, greatest extent of patient frailty, and most complicated underlying patient case-mix.

CONCLUSION

Use of non-mortality-based quality metrics appears to offer a needed promising means of evaluating high-quality EGS care. The results underscore the importance of accounting for outcomes applicable to all EGS patients when designing quality-improvement initiatives and suggest that, given the consistency of best-performing hospitals, natural EGS centers-of-excellence could exist.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.