Readmission destination and risk of mortality after major surgery: an observational cohort study

Data-driven insights into interhospital care fragmentation: Implications for health policy and equity among older adults

OBJECTIVE

To determine factors leading to interhospital care fragmentation (ICF); evaluate how ICF affects rehospitalization costs, length of stays (LOS), and delayed discharge; and analyze ICF disparity among equity-seeking groups.

MATERIALS AND METHODS

We used a 13-year retrospective cohort of older adults (65+) in Ontario, Canada. Utilizing multivariable logistic regression, we identified characteristics associated with ICF and determined its association with outcomes.

RESULTS

Discharge to facilities except home and homecare and travel distance were the strongest risk factors for ICF. Patients were less likely to experience ICF if they were older, frail, or had multiple comorbidities. ICF was strongly associated with an increase in the daily costs of readmission. Moreover, the risks of a prolonged LOS after ICF and delayed discharge were higher among returning surgical patients. The rural residency was a source of health inequality.

CONCLUSIONS

ICF exacerbates health disparities and worsens patient outcomes. Our study identified several risk factors associated with ICF, some of which are controllable, paving the way for interventions to mitigate this issue. To promote health equity and reduce adverse outcomes, policymakers should focus on policies for reducing care discontinuity, particularly addressing the controllable risk factors.

Prehabilitation-A Simple Approach for Complex Patients: The Results of a Single-Center Study on Prehabilitation in Patients with Ovarian Cancer Before Cytoreductive Surgery

Background/Objectives: Prehabilitation is a low-cost, safe procedure with no side effects, and it may have a positive impact on postoperative outcomes. However, it is not widely implemented. Our study aimed to assess the impact of prehabilitation on postoperative outcomes in patients with ovarian cancer within the field of gynecological oncology. Methods: We analyzed 110 patients with ovarian cancer who participated in a prehabilitation program before cytoreductive surgery. Based on the results of a 6-min walk test (6MWT), patients were divided into two groups: Group A (patients who improved their 6MWT results) and Group B (patients who did not improve their 6MWT results). Results: Patients in Group A demonstrated better postoperative outcomes. The length of hospital stay was significantly shorter in Group A compared to Group B (median 7 [5, 9] vs. 9 [6, 17], p = 0.032). Group A also had a lower overall number of complications and also fewer complications, as summarized by the Clavien-Dindo classification, compared to Group B. Conclusions: Patient adherence to prehabilitation recommendations was adequate. Prehabilitation was associated with improved postoperative outcomes, including shorter hospital stays and fewer complications. These benefits were more pronounced with higher patient compliance with the prehabilitation program and improvements were recorded in preoperative physical capacity.

Readmission destination following cardiac surgery and its association with mortality outcomes: a population-based retrospective study

Background

It is unclear how pre-surgery transfer relates to readmission destination among patients undergoing cardiac surgery and whether readmission to a hospital other than the operating hospital is associated with increased mortality.

Methods

We analysed linked hospital and death records for residents of New South Wales, Australia, aged ≥18 years who had an emergency readmission within 30 days following coronary artery bypass graft (CABG) or surgical aortic valve replacement (SAVR) in 2003-2022. Mixed-effect multi-level modelling was used to evaluate associations of readmission destination with 30-day mortality, overall and stratified by pre-surgery transfer.

Findings

Of 102,540 patients undergoing cardiac surgery (isolated CABG = 63,000, SAVR = 27,482, combined = 12,058), 28.7% (n = 29,398) had pre-surgery transfer, while the 30-day readmission rate was 14.7% (n = 14,708). During readmission, 35.7% (3499/9795) of those without pre-surgery transfer and 12.0% (590/4913) of those with pre-surgery transfer returned to the operating hospital. Among readmitted patients, 30-day mortality did not differ significantly for those who were readmitted to a non-index hospital, both overall (adjusted odds ratio [aOR] = 1.03 95% CI 0.75-1.41), and in analyses stratified by pre-surgery transfer (no transfer: aOR = 1.07, 95% CI 0.75-1.52; transfer: aOR = 0.88, 95% CI 0.45-1.72). Among patients who had pre-surgery transfer, 30-day mortality was similar among patients who were readmitted to the index operating hospital (reference), the initial admitting hospital (aOR = 1.00, 95% CI 0.50-2.00) or a third, different, hospital (aOR = 0.70, 95% CI 0.33-1.48).

Interpretation

Although many Australian patients who are readmitted following cardiac surgery are readmitted to hospitals different to the operating or initial admitting hospital, such readmissions are not associated with increased mortality.

Funding

This study was funded by a National Health and Medical Research Foundation of Australia (NHMRC) Project Grant (#1162833).

Non-index hospital re-admissions after hospitalisation with acute myocardial infarction and geographic remoteness, New South Wales, 2005-2020: a retrospective cohort study

OBJECTIVES

To examine the frequency of re-admissions to non-index hospitals (hospitals other than the initial discharging hospital) within 30 days of admission with acute myocardial infarction in New South Wales; to examine the relationship between non-index hospital re-admissions and 30-day mortality.

STUDY DESIGN

Retrospective cohort study; analysis of hospital admissions (Admitted Patient Data Collection) and mortality data (Registry of Births, Deaths and Marriages).

SETTING, PARTICIPANTS

Adults admitted to NSW hospitals with acute myocardial infarction re-admitted to any hospital within 30 days of discharge from the initial hospitalisation, 1 January 2005 - 31 December 2020.

MAIN OUTCOME MEASURES

Proportion of re-admissions within 30 days of discharge to non-index hospitals, and associations of non-index hospital re-admissions with demographic and initial hospitalisation characteristics and with 30-day and 12-month mortality, each by residential remoteness category.

RESULTS

Of 168 097 people with acute myocardial infarction discharged alive, 28 309 (16.8%) were re-admitted to hospital within 30 days of discharge, including 11 986 to non-index hospitals (42.3%); the proportion was larger for people from regional or remote areas (50.1%) than for people from major cities (38.3%). The odds of non-index hospital re-admission were higher for people with ST-elevation myocardial infarction, for people whose index admissions were to private hospitals, who were transferred between hospitals or had undergone revascularisation during the initial admission, were under 65 years of age, or had private health insurance; the influence of these factors was generally larger for people from regional or remote areas than for those from large cities. After adjustment for potential confounders, non-index hospital re-admission did not influence mortality among people from major cities (30-day: adjusted odds ratio [aOR], 1.09; 95% confidence interval [CI], 0.99-1.20; 12-month: aOR, 0.98, 95% CI, 0.93-1.03), but was associated with reduced mortality for people from regional or remote areas (30-day: aOR, 0.81; 95% CI, 0.70-0.95; 12-month: aOR, 0.88; 95% CI, 0.81-0.96).

CONCLUSIONS

The geographically dispersed Australian population and the mixed public and private provision of specialist services means that re-admission to a non-index hospital can be unavoidable for people with acute myocardial infarction who are initially transferred to specialised facilities. Non-index hospital re-admission is associated with better mortality outcomes for people from regional or remote areas.

Incidence and Predictors of Readmissions to Non-Index Hospitals After Transcatheter Aortic Valve Implantation in the Contemporary Era in New South Wales, Australia

BACKGROUND

In Australia, transcatheter aortic valve implantation (TAVI) is only performed in a limited number of specialised metropolitan centres, many of which are private hospitals, making it likely that TAVI patients who require readmission will present to another (non-index) hospital. It is important to understand the impact of non-index readmission on patient outcomes and healthcare resource utilisation.

METHOD

We analysed linked hospital and death records for residents of New South Wales, Australia, aged ≥18 years, who had an emergency readmission within 90 days following a TAVI procedure in 2013-2022. Mixed-effect, multi-level logistic regression models were used to evaluate predictors of non-index readmission, and associations between non-index readmission and readmission length of stay, 90-day mortality, and 1-year mortality.

RESULTS

Of 4,198 patients (mean age, 82.7 years; 40.6% female) discharged alive following TAVI, 933 (22.2%) were readmitted within 90 days of discharge. Over three-quarters (76.0%) of those readmitted returned to a non-index hospital, with no significant difference in readmission principal diagnosis between index hospital and non-index hospital readmissions. Among readmitted patients, independent predictors of non-index readmission included: residence in regional or remote areas, lower socio-economic status, having a pre-procedure transfer, and a private index hospital. Readmission length of stay (median, 4 days), 90-day mortality (adjusted odds ratio [OR] 1.04, 95% confidence interval [CI] 0.56-1.96) and 1-year mortality (adjusted OR 1.01, 95% CI 0.64-1.58) were similar between index and non-index readmissions.

CONCLUSIONS

Non-index readmission following TAVI was highly prevalent but not associated with increased mortality or healthcare utilisation. Our results are reassuring for TAVI patients in regional and remote areas with limited access to return to index TAVI hospitals.

Establishing Regionalized Acute Care Across a Health Care System to Decentralize Postoperative Care After Oncologic Surgery

PURPOSE

Patients undergoing oncologic surgery at major referral centers frequently experience postdischarge care fragmentation, which has been associated with poor outcomes. This report describes and evaluates the outcomes of an intervention at Memorial Sloan Kettering Cancer Center (MSKCC) to decentralize postdischarge postoperative acute care within our health care system.

METHODS

In 2018, MSKCC completed the addition of six regional acute care clinics called symptom care clinics (SCCs) to existing regional outpatient clinics. Acute care was previously only available within our system at a single centralized urgent care center (UCC). All patients undergoing surgery in our system between January 1, 2019, and June 30, 2021, were followed for 90 days. The exposure was the site of initial acute care presentation-UCC or SCC-and outcomes included utilization, access, financial toxicity, and mortality. Mortality was adjusted using hierarchical modeling at the level of the region.

RESULTS

A total of 6,992 postsurgical patients experienced 10,525 acute care visits in our system within 90 days of surgery. Twenty-nine percent of these patients presented to the SCC first. These patients were older but had fewer comorbidities and shorter index length of stay compared with UCC patients. Utilization of SCCs increased substantially while UCC utilization decreased during a period of stable case volume. SCCs were closer to patients' homes, and wait times were shorter. Rates of financial toxicity were similar between groups. Of this high-risk cohort accessing acute care postoperatively, 90-day mortality was similar for UCC and SCC patients (P = .731).

CONCLUSION

This model of decentralized acute care after oncologic surgery was increasingly used over time with comparable patient safety. Health systems should emphasize patient-centered care by supporting safe strategies for regionalized care even when treatments are delivered at centralized referral centers.

Readmission to a non-index hospital following total joint replacement

Aims

It is unclear whether mortality outcomes differ for patients undergoing total hip arthroplasty (THA) or total knee arthroplasty (TKA) surgery who are readmitted to the index hospital where their surgery was performed, or to another hospital.

Methods

We analyzed linked hospital and death records for residents of New South Wales, Australia, aged ≥ 18 years who had an emergency readmission within 90 days following THA or TKA surgery between 2003 and 2022. Multivariable modelling was used to identify factors associated with non-index readmission and to evaluate associations of readmission destination (non-index vs index) with 90-day and one-year mortality.

Results

Of 394,248 joint arthroplasty patients (THA = 149,456; TKA = 244,792), 9.5% (n = 37,431) were readmitted within 90 days, and 53.7% of these were admitted to a non-index hospital. Non-index readmission was more prevalent among patients who underwent surgery in private hospitals (60%). Patients who were readmitted for non-orthopaedic conditions (62.8%), were more likely to return to a non-index hospital compared to those readmitted for orthopaedic complications (39.5%). Factors associated with non-index readmission included older age, higher socioeconomic status, private health insurance, and residence in a rural or remote area. Non-index readmission was significantly associated with 90-day (adjusted odds ratio (aOR) 1.69; 95% confidence interval (CI) 1.39 to 2.05) and one-year mortality (aOR 1.31; 95% CI 1.16 to 1.47). Associations between non-index readmission and mortality were similar for patients readmitted with orthopaedic and non-orthopaedic complications (90-day mortality aOR 1.61; 95% CI 0.98 to 2.64, and aOR 1.67; 95% CI 1.35 to 2.06, respectively).

Conclusion

Non-index readmission was associated with increased mortality, irrespective of whether the readmission was for orthopaedic complications or other conditions.

Association between readmission care fragmentation and outcomes after interventions for peripheral arterial disease

OBJECTIVE

Lower extremity revascularization (LER) for peripheral artery disease is complicated by the frequent need for readmission. However, it is unclear if readmission to a nonindex LER facility (ie, a facility different from the one where the LER was performed) compared with the index LER facility is associated with worse outcomes.

METHODS

This was a national cohort study of older adults who underwent open, endovascular, or hybrid LER for peripheral artery disease (January 1, 2010, to December 31, 2018) in the Vascular Quality Initiative who were readmitted within 90 days of their vascular procedure. This dataset was linked to Medicare claims and the American Hospital Association Annual Survey. The primary outcome was 90-day mortality and the secondary outcome was major amputation at 90 days after LER. The primary exposure was the location of the first readmission after LER (categorized as occurring at the index LER facility vs a nonindex LER facility). Generalized estimating equations logistic regression models were used to assess the association between readmission location and 90-day mortality and amputation.

RESULTS

Among 42,429 patients who underwent LER, 33.0% were readmitted within 90 days. Of those who were readmitted, 27.3% were readmitted to a nonindex LER facility, and 42.2% of all readmissions were associated with procedure-related complications. Compared with patients readmitted to the index LER facility, those readmitted to a nonindex facility had a lower proportion of procedure-related reasons for readmission (21.5% vs 50.1%; P < .001). Most of the patients readmitted to a nonindex LER facility lived further than 31 miles from the index LER facility (39.2% vs 19.6%; P < .001) and were readmitted to a facility with a total bed size of <250 (60.1% vs 11.9%; P < .001). Readmission to a nonindex LER facility was not associated with 90-day mortality or 90-day amputation. However, readmission for a procedure-related complication was associated with major amputation (90-day amputation: adjusted odds ratio, 3.33; 95% confidence interval, 2.89-3.82).

CONCLUSIONS

Readmission after LER for a procedure-related complication is associated with subsequent amputation. This finding suggests that quality improvement efforts should focus on understanding various types of procedure-related failure after LER and its role in limb salvage.

[Effects of new minimum volume standards in visceral surgery on healthcare in Brandenburg, Germany, from the perspective of healthcare providers]

BACKGROUND

The legally prescribed minimum volume standards for complex esophageal and pancreatic surgery have been increased or will increase in 2023 and 2025, respectively. Hospitals not reaching the minimum volume standards are no longer allowed to perform these surgeries and are not entitled tor reimbursement.

OBJECTIVE

The study aims to explore which effects are expected by healthcare professionals and patient representatives and what possible solutions exist for Brandenburg, a rural federal state in northeast Germany.

MATERIAL AND METHODS

In this study 19 expert interviews were conducted with hospital employees (head/senior physicians, nursing director), resident physicians and patient representatives between July 2022 and January 2023. The data analysis was based on content analysis.

RESULTS

Healthcare professionals and patient representatives expect a redistribution into a few clinics for surgical care (specialized centres); conversely more clinics that do not (no longer) perform the defined surgeries but could function as gatekeeping hospitals for basic care, diagnostics and follow-up (regional centres). The redistribution could also impact forms of treatment that are not directly defined within the regulation for minimum volume standards. The increased thresholds could also affect medical training and staff recruitment. A solution could be collaborations between different hospitals, which would have to be structurally promoted.

CONCLUSION

The study showed that minimum volume standards not only influence the quality of outcomes and accessibility but also have a multitude of other effects. Particularly for rural regions, minimum volume standards are challenging for access to esophageal and pancreatic surgery as well as for communication between specialized and regional centres or resident providers.

Long-term disease interactions amongst surgical patients: a population cohort study

BACKGROUND

The average age of the surgical population continues to increase, as does prevalence of long-term diseases. However, outcomes amongst multi-morbid surgical patients are not well described.

METHODS

We included adults undergoing non-obstetric surgical procedures in the English National Health Service between January 2010 and December 2015. Patients could be included multiple times in sequential 90-day procedure spells. Multi-morbidity was defined as presence of two or more long-term diseases identified using a modified Charlson comorbidity index. The primary outcome was 90-day postoperative death. Secondary outcomes included emergency hospital readmission within 90 days. We calculated age- and sex-adjusted odds ratios (OR) with 95% confidence intervals (CI) using logistic regression. We compared the outcomes associated with different disease combinations.

RESULTS

We identified 20 193 659 procedure spells among 13 062 715 individuals aged 57 (standard deviation 19) yr. Multi-morbidity was present among 2 577 049 (12.8%) spells with 195 965 deaths (7.6%), compared with 17 616 610 (88.2%) spells without multi-morbidity with 163 529 deaths (0.9%). Multi-morbidity was present in 1 902 859/16 946 808 (11.2%) elective spells, with 57 663 deaths (2.7%, OR 4.9 [95% CI: 4.9-4.9]), and 674 190/3 246 851 (20.7%) non-elective spells, with 138 302 deaths (20.5%, OR 3.0 [95% CI: 3.0-3.1]). Emergency readmission followed 547 399 (22.0%) spells with multi-morbidity compared with 1 255 526 (7.2%) without. Multi-morbid patients accounted for 57 663/114 783 (50.2%) deaths after elective spells, and 138 302/244 711 (56.5%) after non-elective spells. The rate of death varied five-fold from lowest to highest risk disease pairs.

CONCLUSION

One in eight patients undergoing surgery have multi-morbidity, accounting for more than half of all postoperative deaths. Disease interactions amongst multi-morbid patients is an important determinant of patient outcome.

Predictors of care discontinuity in geriatric trauma patients

BACKGROUND

Readmission to a non-index hospital, or care discontinuity, has been shown to have worse outcomes among surgical patients. Little is known about its effect on geriatric trauma patients. Our goal was to determine predictors of care discontinuity and to evaluate its effect on mortality in this geriatric population.

METHODS

This was a retrospective analysis of Medicare inpatient claims (2014-2015) of geriatric trauma patients. Care discontinuity was defined as readmission within 30 days to a non-index hospital. Demographic and clinical characteristics (including readmission diagnosis category) were collected. Multivariate logistic regression analysis was performed to identify predictors of care discontinuity and to assess its association with mortality.

RESULTS

We included 754,313 geriatric trauma patients. Mean age was 82.13 years (SD, 0.50 years), 68% were male and 91% were White. There were 21,615 (2.87%) readmitted within 30 days of discharge. Of these, 34% were readmitted to a non-index hospital. Overall 30-day mortality after readmission was 25%. In unadjusted analysis, readmission to index hospitals was more likely to be due to surgical infection, GI complaints, or cardiac/vascular complaints. After adjusted analysis, predictors of care discontinuity included readmission diagnoses, patient- and hospital-level factors. Care discontinuity was not associated with mortality (OR, 0.93; 95% confidence interval, 0.86-1.01).

CONCLUSION

More than a third of geriatric trauma patients are readmitted to a non-index hospital, which is driven by readmission diagnosis, travel time and hospital characteristics. However, unlike other surgical settings, this care discontinuity is not associated with increased mortality. Further work is needed to understand the reasons for this and to determine which standardized processes of care can benefit this population.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level IV.

Nationwide changes in radiation oncology travel and location of care before and during the COVID-19 pandemic

PURPOSE

Patients with cancer are particularly vulnerable to coronavirus disease (COVID). Transportation barriers made travel to obtain medical care more difficult during the pandemic. Whether these factors led to changes in the distance traveled for radiotherapy and the coordinated location of radiation treatment is unknown.

MATERIALS AND METHODS

We analyzed patients across 60 cancer sites in the National Cancer Database from 2018 to 2020. Demographic and clinical variables were analyzed for changes in distance traveled for radiotherapy. We designated the facilities in the 99th percentile or above in terms of the proportion of patients who traveled more than 200 miles as "destination facilities." We defined "coordinated care" as undergoing radiotherapy at the same facility where the cancer was diagnosed.

RESULTS

We evaluated 1,151,954 patients. There was a greater than 1% decrease in the proportion of patients treated in the Mid-Atlantic States. Mean distance traveled from place of residence to radiation treatment decreased from 28.6 to 25.9 miles, and the proportion traveling greater than 50 miles decreased from 7.7% to 7.1%. At "destination facilities," the proportion traveling more than 200 miles decreased from 29.3% in 2018 to 24% in 2020. In comparison, at the other hospitals, the proportion traveling more than 200 miles decreased from 1.07% to 0.97%. In 2020, residing in a rural area resulted in a lower odds of having coordinated care (multivariable odds ratio = 0.89; 95% confidence interval, 0.83-0.95).

CONCLUSION

The first year of the COVID pandemic measurably impacted the location of U.S. radiation therapy treatment.

Longer patient travel distance is associated with increased non-index readmission after complex aortic surgery

OBJECTIVE

Recently evolving practice patterns in complex aortic surgery have led to regionalization of care within fewer centers in the United States, and thus patients may have to travel farther for complex aortic care. Travel distance has been associated with inferior outcomes after non-vascular surgery, particularly non-index readmission. This study aims to assess the impact of patient travel distance on perioperative outcomes and readmissions after complex aortic surgery.

METHODS

A retrospective review was conducted of all patients in the Vascular Quality Initiative and Vascular Implant Surveillance and Interventional Outcomes Network databases undergoing complex endovascular aortic repair (EVAR) including internal iliac or visceral vessel involvement, complex thoracic endovascular aortic repair (TEVAR) including zone 0 to 2 proximal extent or branched devices, and complex open abdominal aortic aneurysm (AAA) repair including suprarenal or higher clamp sites. Travel distance was stratified by rural/urban commuting area (RUCA) population-density category. Wilcoxon and χ2 tests were used to assess relationships between travel distance quintiles and baseline characteristics, mortality, and readmission. Travel distance and other factors were included in multivariable Cox models for survival and Fine-Gray competing risk models for freedom from readmission.

RESULTS

Between 2011 and 2018, 8782 patients underwent complex aortic surgery in the Vascular Quality Initiative and Vascular Implant Surveillance and Interventional Outcomes Network databases, including 4822 complex EVARs, 2672 complex TEVARs, and 1288 complex open AAA repairs. Median travel distance was 22.8 miles (interquartile range [IQR], 8.6-54.8 miles). Median age was 75 years for all distance quintiles, but patients traveling longer distances were more likely female (26.8% in quintile 5 [Q5] vs 19.9% in Q1; P < .001), white (93.8% of Q5 vs 83.8% of Q1; P < .001), to have larger-diameter AAAs (median 59 mm for Q5 vs 55 mm for Q1; P < .001), and to have had prior aortic surgery (20.8% for Q5 vs 5.9% for Q1; P < .001). Overall 30-day readmission was more common at farther distances (18.1% for Q5 vs 14.8% for Q1; P = .003), with higher non-index readmission (11.2% for Q5 vs 2.7% for Q1; P < .001) and conversely lower index readmission (6.9% for Q5 vs 12.0% for Q1; P < .001). Multivariable-adjusted Fine-Gray models confirmed greater hazard of non-index readmission with farther distance, with a Q5 hazard ratio of 3.02 (95% confidence interval, 2.12-4.30; P < .001). Multivariable-adjusted Cox models demonstrated no association between travel distance and long-term survival but found that non-index readmission was associated with increased long-term mortality (hazard ratio, 1.46; 95% confidence interval, 1.20-1.78; P = .0001).

CONCLUSIONS

Patients traveling farther for complex aortic surgery demonstrate higher non-index readmission, which, in turn, is associated with increased long-term mortality risk. Aortic centers of excellence should consider targeting these patients for more comprehensive follow-up and care coordination to improve outcomes.

Insurance churn after adult traumatic injury: A national evaluation among a large private insurance database

BACKGROUND

Traumatic injury leads to significant disability, with injured patients often requiring substantial health care resources to return to work and baseline health. Temporary disability or inability to work can result in changes or loss of employer-based private insurance coverage, which may significantly impact health care access and outcomes. Among privately insured patients, we hypothesized increased instability in insurance coverage for patients with higher severity of injury.

METHODS

Adults 18 years and older presenting to a hospital with traumatic injury were evaluated for insurance churn using Clinformatics Data Mart private-payer claims. Insurance churn was defined as cessation of enrollment in the patient's private health insurance plan. Using Injury Severity Score (ISS), we compared insurance churn over the year following injury between patients with mild (ISS, <9), moderate (ISS, 9-15), severe (ISS, 16-24), and very severe (ISS, >24) injuries. Kaplan-Meier analysis was used to compare time with insurance churn by ISS category. Flexible parametric regression was used to estimate hazard ratios for insurance churn.

RESULTS

Among 750,862 privately insured patients suffering from a traumatic injury, 50% experienced insurance churn within 1 year after injury. Compared with patients who remained on their insurance plan, patients who experienced insurance churn were younger and more likely male and non-White. The median time to insurance churn was 7.7 months for those with mild traumatic injury, 7.5 months for moderately or severely injured, and 7.1 months for the very severely injured. In multivariable analysis, increasing injury severity was associated with higher rates of insurance churn compared with mild injury, up to 14% increased risk for the very severely injured.

CONCLUSION

Increasing severity of traumatic injury is associated with higher levels of health coverage churn among the privately insured. Lack of continuous access to health services may prolong recovery and further aggravate the medical and social impact of significant traumatic injury.

LEVEL OF EVIDENCE

Economic and Value Based Evaluations; Level III.

Ambulance use and subsequent fragmented hospital readmission among older adults

BACKGROUND

Interhospital care fragmentation, when a patient is readmitted to a different hospital than they were originally discharged from, occurs in 20%-25% of readmissions. Mode of transport to the hospital, specifically ambulance use, may be a risk factor for fragmented readmissions. Our study seeks to further understand the relationship between ambulance transport and fragmented readmissions in older adults, a population that is at increased risk for poor outcomes following fragmented readmissions.

METHODS

We analyzed inpatient claims from Medicare beneficiaries in 2018 who had a hospital admission for select Hospital Readmission Reduction Program Conditions (acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, pneumonia) as well as dehydration, syncope, urinary tract infection, or behavioral issues. We evaluated the associations between ambulance transport and a fragmented readmission using logistic regression models adjusted for demographic, clinical, and hospital characteristics.

RESULTS

The study included 1,186,600 30-day readmissions. Of these, 46.8% (n = 555,847) required ambulance transport. In fully adjusted models, taking an ambulance to the readmission hospital increased the odds of a fragmented readmission by 38% (95% CI 1.32, 1.44). When this association was examined by readmission major diagnostic category (MDC), the strongest associations were seen for Factors Influencing Health Status and Other Contacts with Health Services (i.e., rehabilitation, aftercare) (AOR 3.66, 95% CI 3.11, 4.32), Mental Diseases and Disorders (AOR 2.69, 95% CI 2.44, 2.97), and Multiple Significant Trauma (AOR 2.61, 95% CI 1.56, 4.35). When the model was stratified by patient origin, ambulance use remained associated with fragmented readmissions across all locations.

CONCLUSIONS

Ambulance use is associated with increased odds of a fragmented readmission, though the strength of the association varies by readmission diagnosis and origin. Patient-, hospital-, and system-level interventions should be developed, implemented, and evaluated to address this modifiable risk factor.

The Impact of Health Information Exchange on In-Hospital and Postdischarge Mortality in Older Adults with Alzheimer Disease Readmitted to a Different Hospital Within 30 Days of Discharge: Cohort Study of Medicare Beneficiaries

BACKGROUND

Although electronic health information sharing is expanding nationally, it is unclear whether electronic health information sharing improves patient outcomes, particularly for patients who are at the highest risk of communication challenges, such as older adults with Alzheimer disease.

OBJECTIVE

To determine the association between hospital-level health information exchange (HIE) participation and in-hospital or postdischarge mortality among Medicare beneficiaries with Alzheimer disease or 30-day readmissions to a different hospital following an admission for one of several common conditions.

METHODS

This was a cohort study of Medicare beneficiaries with Alzheimer disease who had one or more 30-day readmissions in 2018 following an initial admission for select Hospital Readmission Reduction Program conditions (acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, and pneumonia) or common reasons for hospitalization among older adults with Alzheimer disease (dehydration, syncope, urinary tract infection, or behavioral issues). Using unadjusted and adjusted logistic regression, we examined the association between electronic information sharing and in-hospital mortality during the readmission or mortality in the 30 days following the readmission.

RESULTS

A total of 28,946 admission-readmission pairs were included. Beneficiaries with same-hospital readmissions were older (aged 81.1, SD 8.6 years) than beneficiaries with readmissions to different hospitals (age range 79.8-80.3 years, P<.001). Compared to admissions and readmissions to the same hospital, beneficiaries who had a readmission to a different hospital that shared an HIE with the admission hospital had 39% lower odds of dying during the readmission (adjusted odds ratio [AOR] 0.61, 95% CI 0.39-0.95). There were no differences in in-hospital mortality observed for admission-readmission pairs to different hospitals that participated in different HIEs (AOR 1.02, 95% CI 0.82-1.28) or to different hospitals where one or both hospitals did not participate in HIE (AOR 1.25, 95% CI 0.93-1.68), and there was no association between information sharing and postdischarge mortality.

CONCLUSIONS

These results indicate that information sharing between unrelated hospitals via a shared HIE may be associated with lower in-hospital, but not postdischarge, mortality for older adults with Alzheimer disease. In-hospital mortality during a readmission to a different hospital was higher if the admission and readmission hospitals participated in different HIEs or if one or both hospitals did not participate in an HIE. Limitations of this analysis include that HIE participation was measured at the hospital level, rather than at the provider level. This study provides some evidence that HIEs can improve care for vulnerable populations receiving acute care from different hospitals.

How Far Is Too Far? Cost-Effectiveness Analysis of Regionalized Rectal Cancer Surgery

BACKGROUND

Regionalized rectal cancer surgery may decrease postoperative and long-term cancer-related mortality. However, the regionalization of care may be an undue burden on patients.

OBJECTIVE

This study aimed to assess the cost-effectiveness of regionalized rectal cancer surgery.

DESIGN

Tree-based decision analysis.

PATIENTS

Patients with stage II/III rectal cancer anatomically suitable for low anterior resection were included.

SETTING

Rectal cancer surgery performed at a high-volume regional center rather than the closest hospital available.

MAIN OUTCOME MEASURES

Incremental costs ($) and effectiveness (quality-adjusted life year) reflected a societal perspective and were time-discounted at 3%. Costs and benefits were combined to produce the incremental cost-effectiveness ratio ($ per quality-adjusted life year). Multivariable probabilistic sensitivity analysis modeled uncertainty in probabilities, costs, and effectiveness.

RESULTS

Regionalized surgery economically dominated local surgery. Regionalized rectal cancer surgery was both less expensive on average ($50,406 versus $65,430 in present-day costs) and produced better long-term outcomes (10.36 versus 9.51 quality-adjusted life years). The total costs and inconvenience of traveling to a regional high-volume center would need to exceed $15,024 per patient to achieve economic breakeven alone or $112,476 per patient to satisfy conventional cost-effectiveness standards. These results were robust on sensitivity analysis and maintained in 94.6% of scenario testing.

LIMITATIONS

Decision analysis models are limited to policy level rather than individualized decision-making.

CONCLUSIONS

Regionalized rectal cancer surgery improves clinical outcomes and reduces total societal costs compared to local surgical care. Prescriptive measures and patient inducements may be needed to expand the role of regionalized surgery for rectal cancer. See Video Abstract at http://links.lww.com/DCR/C83 .

QU TAN LEJOS ES DEMASIADO LEJOS ANLISIS DE COSTOEFECTIVIDAD DE LA CIRUGA DE CNCER DE RECTO REGIONALIZADO

ANTECEDENTES:La cirugía de cáncer de recto regionalizado puede disminuir la mortalidad posoperatoria y a largo plazo relacionada con el cáncer. Sin embargo, la regionalización de la atención puede ser una carga indebida para los pacientes.OBJETIVO:Evaluar la rentabilidad de la cirugía oncológica de recto regionalizada.DISEÑO:Análisis de decisiones basado en árboles.PACIENTES:Pacientes con cáncer de recto en estadio II/III anatómicamente aptos para resección anterior baja.AJUSTE:Cirugía de cáncer rectal realizada en un centro regional de alto volumen en lugar del hospital más cercano disponible.PRINCIPALES MEDIDAS DE RESULTADO:Los costos incrementales ($) y la efectividad (años de vida ajustados por calidad) reflejaron una perspectiva social y se descontaron en el tiempo al 3%. Los costos y los beneficios se combinaron para producir la relación costo-efectividad incremental ($ por año de vida ajustado por calidad). El análisis de sensibilidad probabilístico multivariable modeló la incertidumbre en las probabilidades, los costos y la efectividad.RESULTADOS:La cirugía regionalizada predominó económicamente la cirugía local. La cirugía de cáncer de recto regionalizado fue menos costosa en promedio ($50 406 versus $65 430 en costos actuales) y produjo mejores resultados a largo plazo (10,36 versus 9,51 años de vida ajustados por calidad). Los costos totales y la inconveniencia de viajar a un centro regional de alto volumen necesitarían superar los $15,024 por paciente para alcanzar el punto de equilibrio económico o $112,476 por paciente para satisfacer los estándares convencionales de rentabilidad. Estos resultados fueron sólidos en el análisis de sensibilidad y se mantuvieron en el 94,6% de las pruebas de escenarios.LIMITACIONES:Los modelos de análisis de decisiones se limitan al nivel de políticas en lugar de la toma de decisiones individualizada.CONCLUSIONES:La cirugía de cáncer de recto regionalizada mejora los resultados clínicos y reduce los costos sociales totales en comparación con la atención quirúrgica local. Es posible que se necesiten medidas prescriptivas e incentivos para los pacientes a fin de ampliar el papel de la cirugía regionalizada para el cáncer de recto. Consulte Video Resumen en http://links.lww.com/DCR/C83 . (Traducción- Dr. Francisco M. Abarca-Rendon ).

Failure to Rescue in Emergency General Surgery: Impact of Fragmentation of Care

OBJECTIVE

Compare EGS patient outcomes after index and nonindex hospital readmissions, and explore predictive factors for nonindex readmission.

BACKGROUND

Readmission to a different hospital leads to fragmentation of care. The impact of nonindex readmission on patient outcomes after EGS is not well established.

METHODS

The Nationwide Readmissions Database (2017) was queried for adult patients readmitted after an EGS procedure. Patients were stratified and propensity-matched according to readmission destination: index versus nonindex hospital. Outcomes were failure to rescue (FTR), mortality, number of subsequent readmissions, overall hospital length of stay, and total costs. Hierarchical logistic regression was performed to account for clustering effect within hospitals and adjusting for patient- and hospital-level potential confounding factors.

RESULTS

A total of 471,570 EGS patients were identified, of which 79,127 (16.8%) were readmitted within 30 days: index hospital (61,472; 77.7%) versus nonindex hospital (17,655; 22.3%). After 1:1 propensity matching, patients with nonindex readmission had higher rates of FTR (5.6% vs 4.3%; P < 0.001), mortality (2.7% vs 2.1%; P < 0.001), and overall hospital costs [in $1000; 37 (27-64) vs 28 (21-48); P < 0.001]. Nonindex readmission was independently associated with higher odds of FTR [adjusted odds ratio 1.18 (1.03-1.36); P < 0.001]. Predictors of nonindex readmission included top quartile for zip code median household income [1.35 (1.08-1.69); P < 0.001], fringe county residence [1.08 (1.01-1.16); P = 0.049], discharge to a skilled nursing facility [1.28 (1.20-1.36); P < 0.001], and leaving against medical advice [2.32 (1.81-2.98); P < 0.001].

CONCLUSION

One in 5 readmissions after EGS occur at a different hospital. Nonindex readmission carries a heightened risk of FTR.

LEVEL OF EVIDENCE

Level III Prognostic.

STUDY TYPE

Prognostic.

Association of distance between hospitals and volume of shared admissions

Background

To assess whether decreasing distance between hospitals was associated with the number of shared patients (patients with an admission to one hospital and a readmission to another).

Methods

Data were from the Healthcare Cost and Utilization Project’s State Inpatient Databases (Florida, Georgia, Maryland, Utah [2017], New York, Vermont [2016]) and the American Hospital Association Annual Survey (2016 & 2017). This was a cross-sectional analysis of patients who had an index admission and subsequent readmission at different hospitals within the same year. We used unadjusted and adjusted linear regression to evaluate the association between the number of shared patients and the distance between admission-readmission hospital pairs.

Results

There were 691 hospitals in the sample (247 in Florida, 151 in Georgia, 50 in Maryland, 172 in New York, 58 in Utah, and 13 in Vermont), accounting for a total of 596,772 admission-readmission pairs. 32.6% of the admission-readmission pairs were shared between two hospitals. On average, a one-mile decrease in distance between two hospitals was associated with of 3.05 (95% CI, 3.02, 3.07) more shared admissions. However, variability between states was wide, with Utah having 0.37 (95% CI 0.35, 0.39) more shared admissions between hospitals per one-mile shorter distance, and Maryland having 4.98 (95% CI 4.87, 5.08) more.

Conclusions

We found that proximity between hospitals is associated with higher volumes of shared admissions.

Re-Admission in Patients with Necrotizing Soft Tissue Infections: Continuity of Care Matters

Background: Necrotizing soft tissue infections (NSTIs) are rapidly progressive infections with high mortality and complication rates. The incidence of NSTIs has been increasing steadily whereas mortality has decreased; survivors have a high risk of re-hospitalization. We hypothesized that re-admission to the index hospital where the first admission occurred would be associated with better clinical outcomes compared with re-admission to a non-index hospital. Patients and Methods: We identified patients from the 2017 Nationwide Readmissions Database with an index admission for NSTIs and examined all-cause re-admissions within 90 days of discharge. We noted whether re-admission occurred at the index or a non-index hospital. Survey-weighted logistic regression identified factors associated with death at the first re-admission and re-admission to index hospital. We also compared patient outcomes between patients admitted to index versus non-index hospitals. Results: We identified 27,051 NSTI survivors, of whom 6,954 (25.7%) had an unplanned re-admission within 90 days. A large proportion of re-admission occurred at non-index hospitals (28.3%; n = 1,966). Factors associated with non-index re-admission included prolonged index length of stay, discharge to short-term hospital, and leaving against medical advice. Patients re-admitted to index hospitals had a lower mortality rate (4.7% vs. 6.7%; p = 0.003), lower admission costs (in $1000; 45 [23-88] vs. 50 [24-104]; p = 0.004) and higher discharge rate to home (55.7% vs. 48.6%; p < 0.001). Conclusions: More than one-quarter of re-admissions among NSTI survivors were to non-index hospitals. Continuity of care is important because re-admission to the index hospital was associated with better patient outcomes.

Deriving International Classification of Diseases, 9th and 10th revision, codes for identifying and following up patients with diabetic lower extremity ulcers

Objective

Administrative claims data offer a rich data source for clinical research. However, its application to the study of diabetic lower extremity ulceration is lacking. Our objective was to create a widely applicable framework by which investigators might derive and refine the International Classification of Diseases, 9th and 10th revision (ICD-9 and ICD-10, respectively) codes for use in identifying diabetic, lower extremity ulceration.

Methods

We created a seven-step process to derive and refine the ICD-9 and ICD-10 coding lists to identify diabetic lower extremity ulcers. This process begins by defining the research question and the initial identification of a list of ICD-9 and ICD-10 codes to define the exposures or outcomes of interest. These codes are then applied to claims data, and the rates of clinical events are examined for consistency with prior research and changes across the ICD-9 to ICD-10 transition. The ICD-9 and ICD-10 codes are then cross referenced with each other to further refine the lists.

Results

Using this method, we started with 8 ICD-9 and 43 ICD-10 codes used to identify lower extremity ulcers in patients with known diabetes and peripheral arterial disease and examined the association of ulceration with lower extremity amputation. After refinement, we had 45 ICD-9 codes and 304 ICD-10 codes. We then grouped the codes into eight clinical exposure groups and examined the rates of amputation as a rudimentary test of validity. We found that the rate of lower extremity amputation correlated with the severity of lower extremity ulceration.

Conclusions

We identified 45 ICD-9 and 304 ICD-10 ulcer codes, which identified patients at risk of amputation from diabetes and peripheral artery disease. Although further validation at the medical record level is required, these codes can be used for claims-based risk stratification for long-term outcomes assessment in the treatment of patients at risk of limb loss.

Chronic kidney disease, risk of readmission, and progression to end-stage renal disease in 519,387 patients undergoing coronary artery bypass grafting

Objective

The association between chronic kidney disease and adverse outcomes after coronary artery bypass grafting is well established; in contrast, the association between chronic kidney disease and readmission has been less thoroughly investigated. We hypothesized that patients at higher chronic kidney disease stages have greater risk of readmission, poorer operative outcomes, and greater hospitalization cost.

Methods

Using the 2016-2018 Nationwide Readmissions Database, we identified 519,387 patients who underwent isolated coronary artery bypass grafting. Patients were stratified by chronic kidney disease stage based on International Classification of Diseases 10^th Revision classification. Multivariable logistic regression was used to assess risk factors for in-hospital mortality and 90-day readmission.

Results

Hospital readmission, in-hospital mortality, and cost progressively increased with worsening chronic kidney disease stage; patients with end-stage renal disease had the highest in-hospital mortality rate (7.2%), hospitalization costs ($59,616) (P < .001), and 90-day readmission rate (40%) (P < .001). Chronic kidney disease stage greater than 3 was associated with in-hospital mortality (odds ratio, 1.56, 95% confidence interval, 1.40-1.73; P < .001) and 90-day readmission (odds ratio, 1.66, 95% confidence interval, 1.56-1.76; P < .001). At 30 days after discharge, new-onset dialysis dependence was more frequent in patients readmitted with chronic kidney disease 4 to 5 (8.9%; n = 1495) than in patients with chronic kidney disease 1 to 3 (1.4%; n = 8623) and patients without chronic kidney disease (0.3%; n = 38,885). At 90 days after discharge, dialysis dependence increased to 11.1% (n = 1916) in readmitted patients with chronic kidney disease 4 to 5 but remained stable for patients with chronic kidney disease 1 to 3 (1.4%; n = 10,907) and patients without chronic kidney disease (0.3%; n = 50,200).

Conclusions

Chronic kidney disease stage is strongly associated with mortality, new-onset dialysis dependence, readmission, and higher cost after coronary artery bypass grafting. Patients with chronic kidney disease 4 and 5 and patients with end-stage renal disease are readmitted at the highest rates. Although further research is needed, a targeted approach may reduce costly readmissions and improve outcomes after coronary artery bypass grafting in patients with chronic kidney disease.

Association of Operative Volume and Odds of Surgical Complication for Patients Undergoing Repair of Pectus Excavatum at Children's Hospitals

OBJECTIVE

To determine whether procedure-specific provider volume is associated with outcomes for patients undergoing repair of pectus excavatum at tertiary care children's hospitals.

STUDY DESIGN

We performed a cohort study of patients undergoing repair of pectus excavatum between January 1, 2013 and December 31, 2019, at children's hospitals using the Pediatric Health Information System database. The main exposures were the pectus excavatum repair volume quartile of the patient's hospital and the pectus excavatum repair volume category of their surgeon. Our primary outcome was surgical complication, identified using International Classification of Diseases, Ninth Revision, Clinical Modification, and International Classification of Diseases, Tenth Revision, Clinical Modification codes from Pediatric Health Information System. Secondary outcomes included high-cost admission and extended length of stay.

RESULTS

In total, 7183 patients with an average age of 15.2 years (SD 2.0), 83% male, 74% non-Hispanic White, 68% no comorbidities, 72% private insurance, and 82% from metro areas were analyzed. Compared with the lowest-volume (≤10 cases/year) quartile of hospitals, patients undergoing repair of pectus excavatum at hospitals in the second (>10-18 cases/year), third (>18-26 cases/year), and fourth (>26 cases/year) volume quartiles had decreased odds of complication of OR 0.52 (CI 0.34-0.82), 0.51 (CI 0.33-0.78), and 0.41 (CI 0.27-0.62), respectively. Patients with pectus excavatum who underwent repair by surgeons in the second (>1-5 cases/year), third (>5-10 cases/year), and fourth (>10 cases/year) volume categories had decreased odds of complication of OR 0.91 (CI 0.68-1.20), OR 0.73 (CI 0.51-1.04), and OR 0.55 (CI 0.39-0.76), respectively, compared with the lowest-volume (≤1 case/year) category of surgeons.

CONCLUSIONS

Procedure-specific case volume is an important factor when considering providers for elective surgery, even among specialized centers providing comprehensive patient care.

Aligning Patient Acuity With Resource Intensity After Major Surgery: A Scoping Review

OBJECTIVE

Develop unifying definitions and paradigms for data-driven methods to augment postoperative resource intensity decisions.

SUMMARY BACKGROUND DATA

Postoperative level-of-care assignments and frequency of vital sign and laboratory measurements (ie, resource intensity) should align with patient acuity. Effective, data-driven decision-support platforms could improve value of care for millions of patients annually, but their development is hindered by the lack of salient definitions and paradigms.

METHODS

Embase, PubMed, and Web of Science were searched for articles describing patient acuity and resource intensity after inpatient surgery. Study quality was assessed using validated tools. Thirty-five studies were included and assimilated according to PRISMA guidelines.

RESULTS

Perioperative patient acuity is accurately represented by combinations of demographic, physiologic, and hospital-system variables as input features in models that capture complex, non-linear relationships. Intraoperative physiologic data enriche these representations. Triaging high-acuity patients to low-intensity care is associated with increased risk for mortality; triaging low-acuity patients to intensive care units (ICUs) has low value and imparts harm when other, valid requests for ICU admission are denied due to resource limitations, increasing their risk for unrecognized decompensation and failure-to-rescue. Providing high-intensity care for low-acuity patients may also confer harm through unnecessary testing and subsequent treatment of incidental findings, but there is insufficient evidence to evaluate this hypothesis. Compared with data-driven models, clinicians exhibit volatile performance in predicting complications and making postoperative resource intensity decisions.

CONCLUSION

To optimize value, postoperative resource intensity decisions should align with precise, data-driven patient acuity assessments augmented by models that accurately represent complex, non-linear relationships among risk factors.

Continuity and coordination of care in highly selected chronic cancer patients treated with multiple repeat radiation therapy

Introduction and background

As cancer is developing into a chronic disease due to longer survival, continuity and coordination of oncological care are becoming more important for patients. As radiation oncology departments are an integral part of cancer care and as repeat irradiation becomes more commonplace, the relevance of continuity and coordination of care in operating procedures is increasing. This study aims to perform a single-institution analysis of cancer patients in which continuity and coordination of care matters most, namely the highly selected group with multiple repeat course radiotherapy throughout their chronic disease.

Materials and methods

All patients who received at least five courses of radiotherapy at the Department of Radiation Oncology at the University Hospital Zurich from 2011 to 2019 and who were alive at the time of the initiation of this project were included into this study. Patient and treatment characteristics were extracted from the hospital information and treatment planning systems. All patients completed two questionnaires on continuity of care, one of which was designed in-house and one of which was taken from the literature.

Results

Of the 33 patients identified at baseline, 20 (60.6%) participated in this study. A median of 6 years (range 3–13) elapsed between the first and the last visit at the cancer center. The median number of involved primary oncologists at the radiation oncology department was two (range 1–5). Fifty-seven percent of radiation therapy courses were preceded by a tumor board discussion. Both questionnaires showed high levels of experienced continuity of care. No statistically significant differences in experienced continuity of care between groups with more or less than two primary oncologists was found.

Discussion and conclusion

Patients treated with multiple repeat radiation therapy at our department over the past decade experienced high levels of continuity of care, yet further efforts should be undertaken to coordinate care among oncological disciplines in large cancer centers through better and increased use of interdisciplinary tumor boards.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13014-021-01949-5.

Social vulnerability and fragmentation of postoperative surgical care among patients undergoing hepatopancreatic surgery

BACKGROUND

Regionalization of hepatopancreatic surgery to high-volume hospitals has been associated with fragmentation of postoperative care and, in turn, inferior outcomes after surgery. The objective of this study was to examine the association of social vulnerability with the likelihood of experiencing fragmentation of postoperative care (FPC) after hepatopancreatic surgery.

METHODS

Patients who underwent hepatopancreatic surgery and had at least 1 readmission within 90 days were identified using Medicare 100% Standard Analytical Files between 2013 and 2017. Fragmentation of postoperative care was defined as readmission at a hospital other than the index institution where the initial surgery was performed. The association of social vulnerability index and its components with fragmentation of postoperative care was examined.

RESULTS

Among 11,142 patients, 8,053 (72.3%) underwent pancreatectomy, and 3,089 (27.7%) underwent hepatectomy. The overall incidence of fragmentation of postoperative care was 32.9% (n = 3,667). Patients who experienced fragmentation of postoperative care were older (73 years [interquartile range: 69-77]_FPC vs 72 years [interquartile range: 68-77]_non-FPC) and had a higher Charlson comorbidity score (4 [interquartile range: 2-8]_FPC vs 3 [interquartile range: 2-8]_non-FPC) (both P < .001). Median overall social vulnerability index was higher among patients who experienced fragmentation of postoperative care (52.5 [interquartile range: 29.3-70.4]_FPC vs 51.3 [interquartile range: 27.9-69.4]_non-FPC, P = .02). On multivariable analysis, the odds of experiencing fragmentation of postoperative care was higher with increasing overall social vulnerability index (odds ratio: 1.14; 95% confidence interval 1.01-1.30). Additionally, the odds of experiencing fragmentation of postoperative care were higher among patients with high vulnerability owing to their socioeconomic status (odds ratio: 1.28; 95% confidence interval 1.12-1.45) or their household composition and disability (odds ratio: 1.35; 95% confidence interval 1.19-1.54), whereas high vulnerability owing to minority status and language was inversely associated with fragmentation of postoperative care (odds ratio: 0.73; 95% confidence interval 0.64-0.84).

CONCLUSION

Social vulnerability was strongly associated with the odds of experiencing fragmented postoperative care after hepatopancreatic surgery.

Quality and Location of the Surgical Episode Mediate a Large Proportion of Socioeconomic-Based Survival Disparities in Patients with Resected Stage I-III Colon Cancer

INTRODUCTION

Lower socioeconomic status (SES) is associated with shorter overall survival (OS) in patients with locoregional colon cancer. We aimed to estimate: (1) the proportion of SES-based OS disparities mediated by disparities in the quality and location of surgical treatment in patients with resected stage I-III colon cancer and (2) the relative importance of components of surgical quality.

PATIENTS AND METHODS

We examined patients ages 18-80 years with resected stage I-III colon adenocarcinoma using the 2010-2016 National Cancer Database. SES was defined at the zip code level. Inverse odds weighting mediation analysis was used to estimate the proportion mediated (PM) for nine treatment quality-related and facility-related factors and composite PMs in models including all nine mediators. Models compared high SES patients with each lower SES stratum.

RESULTS

Among 171,009 patients, 5-year OS increased from 70.4% in low SES patients to 78.1% in high SES. When high SES patients were compared with low, lower-middle, and upper-middle SES patients, PM ranges among lower SES strata were: minimally invasive surgery 16.0-16.6%, lymph nodes examined 7.7-9.6%, positive margins 3.8-6.5%, length of stay 16.7-28.1%, readmissions insignificant to 3.7%, treatment at > 1 CoC facility 2.7-3.1%, facility type insignificant to 7.3%, facility volume 2.9-8.2%, and adjusted facility 90-day mortality rates 33.2-42.8%. Composite PMs were 76.9% (95% CI 61.3%, 92.4%) for low SES, 68.7% (95% CI 56.4%, 81.1%) for lower-middle SES, and 60.9% (95% CI 43.1%, 78.6%) for upper-middle SES.

CONCLUSIONS

These data suggest that improving the quality of the surgical episode for disadvantaged patients undergoing resection for locoregional colon cancer could decrease SES-based survival disparities by over half.

The burden of readmission after discharge from necrotizing soft tissue infection

BACKGROUND

The need for extensive surgical debridement with necrotizing soft tissue infections (NSTIs) may put patients at high risk for unplanned readmission. However, there is a paucity of data on the burden of readmission in patients afflicted with NSTI. We hypothesized that unplanned readmission would significantly contribute to the burden of disease after discharge from initial hospitalization.

METHODS

The Nationwide Readmission Database was used to identify adults undergoing debridement for NSTI hospitalizations from 2010 to 2017. Risk factors for 90-day readmission were assessed by Cox proportional hazards regression.

RESULTS

There were a total of 82,738 NSTI admissions during the study period, of which 25,076 (30.3%) underwent 90-day readmissions. Median time to readmission was 25 days (interquartile range, 9-49 days). Fragmentation of care, longer length of index stay (>2 weeks), and Medicaid status were independent risk factors for readmission. Median cost of a readmission was US $10,543. Readmission added 174,640 hospital days to episodes of care over the study period, resulting in an estimated financial burden of US $1.4 billion.

CONCLUSION

Unplanned readmission caused by NSTIs is common and costly. Interventions that target patients at risk for readmission may help decrease the burden of disease.

LEVEL OF EVIDENCE

Economic/Epidemiological, level IV.

The centralization of bladder cancer care and its implications for patient travel distance

OBJECTIVES

To evaluate the impact of centralized surgical and nonsurgical care (i.e., radiation and chemotherapy) on travel distances and survival outcomes for patients with advanced bladder cancer. Bladder cancer is a disease with high mortality for which treatment access is paramount and survival is superior in patients receiving surgery at high-volume centers.

METHODS

Using SEER-Medicare, we identified patients 66 years or older diagnosed with bladder cancer between 2004-2013. We categorized patients as treated with either surgical (i.e., radical cystectomy) or nonsurgical (i.e., radiation or chemotherapy) care. We fit a linear probability model to generate the predicted proportion of patients treated at the top quintile of volume over time and assessed travel distance, 1-year all-cause mortality, and 1-year bladder cancer-specific mortality over time.

RESULTS

A total of 6,756 and 10,383 patients underwent surgical and nonsurgical care, respectively. The percentage of patients treated at high-volume centers increased over the study period for both surgical care (53% to 62%) and nonsurgical care (47% to 55%), (both P< 0.001). Median travel distance increased (11.8 to 20.3 miles) for surgical care and (6.5 to 8.3 miles) for nonsurgical care, (both P < 0.001). The 1-year adjusted all-cause mortality and 1-year adjusted bladder-cancer specific mortality decreased significantly for both surgical and nonsurgical care (both P < 0.05).

CONCLUSIONS

Over time, centralization of surgical and nonsurgical care for bladder cancer patients increased, which was associated with increasing patient travel distance and decreased all-cause and bladder-cancer specific mortality.

Patient and hospital factors associated with 30-day readmissions after coronary artery bypass graft (CABG) surgery: a systematic review and meta-analysis

BACKGROUND

Readmission after coronary artery bypass graft (CABG) surgery is associated with adverse outcomes and significant healthcare costs, and 30-day readmission rate is considered as a key indicator of the quality of care. This study aims to: quantify rates of readmission within 30 days of CABG surgery; explore the causes of readmissions; and investigate how patient- and hospital-level factors influence readmission.

METHODS

We conducted systematic searches (until June 2020) of PubMed and Embase databases to retrieve observational studies that investigated readmission after CABG. Random effect meta-analysis was used to estimate rates and predictors of 30-day post-CABG readmission.

RESULTS

In total, 53 studies meeting inclusion criteria were identified, including 8,937,457 CABG patients. The pooled 30-day readmission rate was 12.9% (95% CI: 11.3-14.4%). The most frequently reported underlying causes of 30-day readmissions were infection and sepsis (range: 6.9-28.6%), cardiac arrythmia (4.5-26.7%), congestive heart failure (5.8-15.7%), respiratory complications (1-20%) and pleural effusion (0.4-22.5%). Individual factors including age (OR per 10-year increase 1.12 [95% CI: 1.04-1.20]), female sex (OR 1.29 [1.25-1.34]), non-White race (OR 1.15 [1.10-1.21]), not having private insurance (OR 1.39 [1.27-1.51]) and various comorbidities were strongly associated with 30-day readmission rates, whereas associations with hospital factors including hospital CABG volume, surgeon CABG volume, hospital size, hospital quality and teaching status were inconsistent.

CONCLUSIONS

Nearly 1 in 8 CABG patients are readmitted within 30 days and the majority of these are readmitted for noncardiac causes. Readmission rates are strongly influenced by patients' demographic and clinical characteristics, but not by broadly defined hospital characteristics.

The Impact of Establishing a Dedicated Liver Surgery Program at a University-affiliated Hospital on Workforce, Workload, Surgical Outcomes, and Trainee Surgical Autonomy and Academic Output

Objective

To detail the implementation of a dedicated liver surgery program at a university-affiliated hospital and to analyze its impact on the community, workforce, workload, complexity of cases, the short-term outcomes, and residents and young faculties progression toward technical autonomy and academic production.

Background

Due to the increased burden of liver tumors worldwide, there is an increased need for liver centers to better serve the community and facilitate the education of trainees in this field.

Methods

The implementation of the program is described. The 3 domains of workload, research, and teaching were compared between 2-year periods before and after the implementation of the new program. The severity of disease, complexity of procedures, and subsequent morbidity and mortality were compared.

Results

Compared with the 2-year period before the implementation of the new program, the number of liver resections increased by 36% within 2 years. The number of highly complex resections, the number of liver resections performed by residents and young faculties, and the number of publications increased 5.5-, 40-, and 6-fold, respectively. This was achieved by operating on more severe patients and performing more complex procedures, at the cost of a significant increase in morbidity but not mortality. Nevertheless, operations during the second period did not emerge as an independent predictor of severe morbidity.

Conclusions

A new liver surgery program can fill the gap between the demand for and supply of liver surgeries, benefiting the community and the development of the next generation of liver surgeons.

Unplanned readmission and survival after video-assisted thoracic surgery and open thoracotomy in patients with non-small-cell lung cancer: a 12-month nationwide cohort study

OBJECTIVES

To compare outcomes at 12 months between video-assisted thoracic surgery (VATS) and open thoracotomy (OT) in patients with non-small-cell lung cancer (NSCLC) using real-world evidence.

METHODS

We did a nationwide propensity-matched cohort study. We included all patients who had a diagnosis of NSCLC and who benefitted from lobectomy between 1 January 2015 and 31 December 2017. We divided this population into 2 groups (VATS and OT) and matched them using propensity scores based on patients' and hospitals' characteristics. Unplanned readmission, mortality, complications, length of stay and hospitalization costs within 12 months of follow-up were compared between the 2 groups.

RESULTS

A total of 13 027 patients from 180 hospitals were included, split into 6231 VATS (47.8%) and 6796 OT (52.2%). After propensity score matching (5617 patients in each group), VATS was not associated with a lower risk of unplanned readmission compared with OT [20.7% vs 21.9%, hazard ratio 1.03 (0.95-1.12)] during the 12-months follow-up. Unplanned readmissions at 90 days were mainly due to pulmonary complications (particularly pleural effusion and pneumonia) and were associated with higher mortality at 12 months (13.4% vs 2.7%, P < 0.0001).

CONCLUSIONS

VATS and OT were both associated with high incidence of unplanned readmissions within 12 months, requiring a better identification of prognosticators of unplanned readmissions. Our study highlights the need to improve prevention, early diagnosis and treatment of pulmonary complications in patients with VATS and OT after discharge. These findings call for improving the dissemination of systematic perioperative care pathway including efficient pulmonary physiotherapy and rehabilitation.

Care Fragmentation and Mortality in Readmission after Surgery for Hepatopancreatobiliary and Gastric Cancer: A Patient-Level and Hospital-Level Analysis of the Healthcare Cost and Utilization Project Administrative Database

BACKGROUND

Hepatopancreatobiliary (HPB) and gastric oncologic operations are frequently performed at referral centers. Postoperatively, many patients experience care fragmentation, including readmission to "outside hospitals" (OSH), which is associated with increased mortality. Little is known about patient-level and hospital-level variables associated with this mortality difference.

STUDY DESIGN

Patients undergoing HPB or gastric oncologic surgery were identified from select states within the Healthcare Cost and Utilization Project database (2006-2014). Follow-up was 90 days after discharge. Analyses used Kruskal-Wallis test, Youden index, and multilevel modeling at the hospital level.

RESULTS

There were 7,536 patients readmitted within 90 days of HPB or gastric oncologic surgery to 636 hospitals; 28% of readmissions (n = 2,123) were to an OSH, where 90-day readmission mortality was significantly higher: 8.0% vs 5.4% (p < 0.01). Patients readmitted to an OSH lived farther from the index surgical hospital (median 24 miles vs 10 miles; p < 0.01) and were readmitted later (median 25 days after discharge vs 12; p < 0.01). These variables were not associated with readmission mortality. Surgical complications managed at an OSH were associated with greater readmission mortality: 8.4% vs 5.7% (p < 0.01). Hospitals with <100 annual HPB and gastric operations for benign or malignant indications had higher readmission mortality (6.4% vs 4.7%, p = 0.01), although this was not significant after risk-adjustment (p = 0.226).

CONCLUSIONS

For readmissions after HPB and gastric oncologic surgery, travel distance and timing are major determinants of care fragmentation. However, these variables are not associated with mortality, nor is annual hospital surgical volume after risk-adjustment. This information could be used to determine safe sites of care for readmissions after HPB and gastric surgery. Further analysis is needed to explore the relationship between complications, the site of care, and readmission mortality.

Contributors to Increased Mortality Associated With Care Fragmentation After Emergency General Surgery

Importance

Care fragmentation at time of readmission after emergency general surgery (EGS) is associated with high mortality; however, the factors underlying this finding remain unclear.

Objective

To identify patient and hospital factors associated with increased mortality among patients after EGS readmitted within 30 days of discharge to a nonindex hospital.

Design, Setting, and Participants

Retrospective cohort study using the 2014 Healthcare Cost and Utilization Project Nationwide Readmissions Database. Participants were all adult patients (18 years or older) who underwent 1 of the 15 most common EGS procedures in the United States from January 1 to November 30, 2014, and survived to discharge. The dates of analysis were October through December 2019.

Exposures

Thirty-day readmission to a hospital other than that of the index surgical procedure. The study examined the association of interventions during readmission, change in hospital resource level, and severity of patient illness during readmission.

Main Outcomes and Measures

Ninety-day inpatient mortality.

Results

In total, 71 944 patients who underwent EGS (mean [SD] age, 59.0 [18.3] years; 53.5% [38 487 of 71 944] female) were readmitted within 30 days of discharge, of whom 10 495 (14.6%) were readmitted to a nonindex hospital. Compared with patients readmitted to index hospitals, patients readmitted to nonindex hospitals were more likely to be readmitted to hospitals with low annual EGS volume (33.5% vs 25.6%, P < .001) and be in the top half of illness severity profile (37.2% vs 31.2%, P < .001). Overall 90-day mortality was higher in the patients readmitted to nonindex hospitals (6.1% vs 4.3%, P < .001). When adjusted for baseline patient and hospital characteristics, care fragmentation was independently associated with increased mortality (adjusted odds ratio [aOR], 1.36; 95% CI, 1.17-1.58; P < .001). After adjustment for interventions performed during readmission, change in EGS hospital volume level, and severity of patient illness, care fragmentation was no longer independently associated with mortality (aOR, 1.05; 95% CI, 0.88-1.26; P = .58). In this complete model, severity of illness was the strongest risk factor of mortality during readmission.

Conclusions and Relevance

In this cohort study of adult patients who require rehospitalization after EGS, 14.6% are readmitted to a hospital other than where the index procedure was performed. Although the overall mortality rate is higher for this population, the excess mortality appears to be primarily associated with severity of patient illness at time of readmission. These data underscore the need to develop systems of care to rapidly triage patients to hospitals best equipped to manage their condition.

Administrative Claims Measure for Profiling Hospital Performance Based on 90-Day All-Cause Mortality Following Coronary Artery Bypass Graft Surgery

BACKGROUND

Coronary artery bypass graft (CABG) surgery is a focus of bundled and alternate payment models that capture outcomes up to 90 days postsurgery. While clinical registry risk models perform well, measures encompassing mortality beyond 30 days do not currently exist. We aimed to develop a risk-adjusted hospital-level 90-day all-cause mortality measure intended for assessing hospital performance in payment models of CABG surgery using administrative data.

METHODS

Building upon Centers for Medicare and Medicaid Services hospital-level 30-day all-cause CABG mortality measure specifications, we extended the mortality timeframe to 90 days after surgery and developed a new hierarchical logistic regression model to calculate hospital risk-standardized 90-day all-cause mortality rates for patients hospitalized for isolated CABG. The model was derived from Medicare claims data for a 3-year cohort between July 2014 to June 2017. The data set was randomly split into 50:50 development and validation samples. The model performance was evaluated with C statistics, overfitting indices, and calibration plot. The empirical validity of the measure result at the hospital level was evaluated against the Society of Thoracic Surgeons composite star rating.

RESULTS

Among 137 819 CABG procedures performed in 1183 hospitals, the unadjusted mortality rate within 30 and 90 days were 3.1% and 4.7%, respectively. The final model included 27 variables. Hospital-level 90-day risk-standardized mortality rates ranged between 2.04% and 11.26%, with a median of 4.67%. C statistics in the development and validation samples were 0.766 and 0.772, respectively. We identified a strong positive correlation between 30- and 90-day risk-standardized mortality rates, with a regression slope of 1.09. Risk-standardized mortality rates also showed a stepwise trend of lower 90-day mortality with higher Society of Thoracic Surgeons composite star ratings.

CONCLUSIONS

We present a measure of hospital-level 90-day risk-standardized mortality rates following isolated CABG. This measure complements Centers for Medicare and Medicaid Services' existing 30-day CABG mortality measure by providing greater insight into the postacute recovery period. It offers a balancing measure to ensure efforts to reduce costs associated with CABG recovery and rehabilitation do not result in unintended consequences.

Outcomes after readmission at the index or nonindex hospital following acute myocardial infarction complicated by cardiogenic shock

Little is known about the prevalence and outcomes of readmission to nonindex hospitals after an admission for acute myocardial infarction complicated by cardiogenic shock (AMI‐CS). We aimed to determine the rate of nonindex readmissions following AMI‐CS and to evaluate its association with clinical factors, hospitalization cost, length of stay (LOS), and in‐hospital mortality rates.

Hypothesis

Nonindex readmission may lead to worse in‐hospital outcomes.

Methods

We reviewed the data of inpatients with AMI‐CS between 2010 and 2017 using the National Readmission Database. The survey analytical methods recommended by the Healthcare Cost and Utilization Project were used for national estimates. Multiple regression models were used to evaluate the predictors of nonindex readmission, and its association with hospitalization cost, LOS, and in‐hospital mortality rates.

Results

Of 238 349 patients with AMI‐CS, 28028 (11.76%) had an unplanned readmission within 30 days. Of these patients, 7423 (26.48%) were readmitted to nonindex hospitals. Compared with index readmission, nonindex readmission was associated with higher hospitalization costs (p < .0001), longer LOS (p < .0001), and increased in‐hospital mortality rates (p = .0016). Patients who had a history of percutaneous coronary intervention, received intubation/mechanical ventilation, or left against medical advice during the initial admission had greater odds of a nonindex readmission.

Conclusions

Over one‐fourth of readmissions following AMI‐CS were to nonindex hospitals. These admissions were associated with higher hospitalization costs, longer LOS, and higher in‐hospital mortality rates. Further studies are needed to evaluate whether a continuity of care plan in the acute hospital setting can improve outcomes after AMI‐CS.

Opportunities to Improve the Capacity to Rescue: Intraoperative and Perioperative Tools

Postoperative complications, which occur in approximately 23% of surgeries, are a major source of patient mortality. Some of these deaths may be preventable. This article explores factors and contexts during the intraoperative period, in the postanesthesia care unit, perioperatively, and after discharge that may represent opportunities to intervene and prevent mortality after a potentially treatable complication. Tools to improve the identification and response to life-threatening complications in these unique care settings are discussed.

Are Volume Pledge Standards Worth the Travel Burden for Major Abdominal Cancer Operations?

OBJECTIVE

The study objective is to determine the association between travel distance and surgical volume on outcomes after esophageal, pancreatic, and rectal cancer resections.

SUMMARY OF BACKGROUND DATA

"Take the Volume Pledge" aims to centralize esophagectomies, pancreatectomies, and proctectomies to hospitals meeting minimum volume standards. The impact of travel, and possible care fragmentation, on potential benefits of centralized surgery is not well understood.

METHODS

Using the National Cancer Database (2004-2016), patients who underwent esophageal, pancreatic, or rectal resections at far HVH meeting volume standards versus local intermediate (IVH) and low-volume (LVH) hospitals were identified. Perioperative outcomes and 5-year OS were compared.

RESULTS

Of 49,454 patients, 17,544 (34.5%) underwent surgery at far HVH, 11,739 (23.7%) at local IVH, and 20,171 (40.8%) at local LVH. The median (interquartile range) travel distances were 77.1 (51.1-125.4), 13.2 (5.8-27.3), and 7.8 (3.1-15.5) miles to HVH, IVH, and LVH, respectively. By multivariable analysis, LVH was associated with increased 30-day mortality for all resections compared to HVH, but IVH was associated with mortality only for proctectomies [odds ratio 1.90, 95% confidence interval (CI) 1.31-2.75]. Compared to HVH, both IVH (hazard ratio 1.25, 95% CI 1.19-1.31) and LVH (hazard ratio 1.35, 95% CI 1.29-1.42) were associated with decreased 5-year OS.

CONCLUSIONS

Compared to far HVH, 30-day mortality was higher for all resections at LVH, but only for proctectomies at IVH. Five-year OS was consistently worse at local LVH and IVH. Improving long-term outcomes at IVH may provide opportunities for greater access to quality cancer care.

A Comprehensive Estimation of the Costs of 30-Day Postoperative Complications Using Actual Costs from Multiple, Diverse Hospitals

BACKGROUND

The cost of surgical care is largely measured by charges or payments, both of which are inadequate. Actual cost data from the hospital's perspective are required to accurately quantify the financial return on investment of engaging in quality improvement. The objective of this study was to define the cost of individual, 30-day postoperative complications using robust cost data from a diverse group of hospitals.

METHODS

Using clinical data derived from the American College of Surgeons National Surgical Quality Improvement Program, this retrospective study assessed postoperative complications for patients who underwent surgery at one of four hospitals in 2016. Actual direct and indirect 30-day costs were obtained, and the adjusted cost per complication was determined.

RESULTS

From the 6,387 patients identified, the three complications associated with the highest independent adjusted cost per event were prolonged ventilation ($48,168; 95% confidence interval [CI]: $21,861-$74,476), unplanned intubation ($26,718; 95% CI: $15,374-$38,062), and renal failure ($18,528; CI: $17,076-$19,981). The three complications associated with the lowest independent adjusted cost per event were urinary tract infection (-$372; 95% CI: -$1,336-$592), superficial surgical site infection ($2,473; 95% CI: -$256-$5,201) and venous thromboembolism ($7,909; 95% CI: -$17,903-$33,721). After colectomy, the adjusted independent cost of anastomotic leak was $10,195 (95% CI: $5,941-$14,449), while the cost of postoperative ileus was $10,205 (95% CI: $6,259-$14,149).

CONCLUSION

The actual hospital costs of complications were estimated using cost data from four diverse hospitals. These data can be used by hospitals to estimate the financial benefit of reducing surgical complications.

Impact of postdischarge care fragmentation on clinical outcomes and survival following transcatheter aortic valve replacement

BACKGROUND

The study aimed to evaluate the prognostic impact of postdischarge care fragmentation in patients undergoing transcatheter aortic valve replacement (TAVR).

METHODS

A total of 266 patients undergoing TAVR due to severe aortic stenosis were included in this retrospective cohort study. Patients were assigned to one of two groups based on presence (n = 104) and absence (n = 162) of postdischarge care fragmentation. Fragmented care was defined as at least one readmission to a site other than the implanting TAVR center within 90 days. Prognostic impact of care fragmentation on clinical outcomes and predictors of long-term mortality were investigated.

RESULTS

Increased major vascular complication (16.3 vs 8.0%, p = 0.037), permanent pacemaker implantation (14.4 vs 6.2%, p = 0.025), and acute kidney injury (22.1 vs 14.2%, p < 0.001) were reported in the fragmented care group. Although early mortality (6.7 vs 4.3%, p = 0.152) was similar between groups, there was a significant difference in 5‑year mortality (66.3 vs 45.7%, p < 0.001). In a univariate regression analysis fragmented care, age, chronic obstructive pulmonary disease, pulmonary artery systolic pressure, and paravalvular leakage were significantly associated with 5‑year mortality. Fragmented care (hazard ratio [HR] 1.510, 95% confidence interval [CI] 1.080-2.111; p = 0.016), age (HR 1.024, 95% CI 1.001-1.048; p = 0.045), paravalvular leakage (HR 1.863, 95% CI 1.076-3.228; p = 0.026), and chronic obstructive pulmonary disease (HR 1.616, 95% CI 1.114-2.344; p = 0.012) were found to be significant independent predictors of 5‑year mortality in a multivariate analysis, after adjusting for other risks.

CONCLUSION

Fragmented care has a significant prognostic impact on clinical outcomes and survival.

Regionalization of General Surgery Within the Mayo Clinic Health System and the Mayo Clinic

Regionalization of surgery is an important component of surgical outcomes. This has been based on numerous studies validating the relationship of surgical volume to surgical outcomes. The Mayo Clinic is actively engaged in regionalization of surgery within its health system. It has embraced a nonvolume outcome approach focusing on outcomes using electronic medical record data mining and National Surgical Quality Improvement Program. Implementing surgical regionalization is supported but ineffectively implemented. In addition, the implementation process has been poorly described in the literature. The Mayo clinic has actively implemented regionalization within its health system, which includes supporting the health system.

Perioperative Support in the Rural Surgery World

Perioperative support in a rural surgical environment encompasses unique challenges but ultimately should not substantially differ from those in resource-rich, urban hospitals. Perioperative support can be divided into 5 different phases of care, each with their own resource needs and challenges. These phases include (1) preoperative phase, (2) immediate preoperative phase, (3) intraoperative phase, (4) postoperative phase, and (5) postdischarge phase.

Patients with a Ruptured Abdominal Aortic Aneurysm Are Better Informed in Hospitals with an "EVAR-preferred" Strategy: An Instrumental Variable Analysis of the Dutch Surgical Aneurysm Audit

BACKGROUND

While several observational studies suggested a lower postoperative mortality after minimal invasive endovascular aneurysm repair (EVAR) in patients with a ruptured abdominal aortic aneurysm (RAAA) compared to conventional open surgical repair (OSR), landmark randomized controlled trials have not been able to prove the superiority of EVAR over OSR. Randomized controlled trials contain a selected, homogeneous population, influencing external validity. Observational studies are biased and adjustment of confounders can be incomplete. Instrumental variable (IV) analysis (pseudorandomization) may help to answer the question if patients with an RAAA have lower postoperative mortality when undergoing EVAR compared to OSR.

METHODS

This is an observational study including all patients with an RAAA, registered in the Dutch Surgical Aneurysm Audit between 2013 and 2017. The risk difference (RD) in postoperative mortality (30 days/in-hospital) between patients undergoing EVAR and OSR was estimated, in which adjustment for confounding was performed in 3 ways: linear model adjusted for observed confounders, propensity score model (multivariable logistic regression analysis), and IV analysis (two-stage least square regression), adjusting for observed and unobserved confounders, with the variation in percentage of EVAR per hospital as the IV instrument.

RESULTS

2419 patients with an RAAA (1489 OSR and 930 EVAR) were included. Unadjusted postoperative mortality was 34.9% after OSR and 22.6% after EVAR (RD 12.3%, 95% CI 8.5-16%). The RD adjusted for observed confounders using linear regression analysis and propensity score analysis was, respectively, 12.3% (95% CI 9.6-16.7%) and 13.2% (95%CI 9.3-17.1%) in favor of EVAR. Using IV analysis, adjusting for observed and unobserved confounders, RD was 8.9% (95% CI -1.1-18.9%) in favor of EVAR.

CONCLUSIONS

Adjusting for observed confounders, patients with an RAAA undergoing EVAR had a significant better survival than OSR in a consecutive large cohort. Adjustment for unobserved confounders resulted in a clinical relevant RD. An "EVAR preference strategy" in patients with an RAAA could result in lower postoperative mortality.