Timing of Pediatric Incarcerated Inguinal Hernia Repair: A Review of Nationwide Readmissions Data.

INTRODUCTION: In pediatric patients, incarcerated inguinal hernias are often repaired on presentation. We hypothesize that in appropriate patients, repair may be safely deferred. METHODS: The Nationwide Readmissions Database was used to identify pediatric patients (aged < 18 y) with incarcerated inguinal hernia from 2010 to 2014. Patients were stratified by management approach (Early Repair versus Deferral). Overall frequencies of these operative strategies were calculated. Propensity score matching was then performed to control for patient age, comorbidities, perinatal conditions, and congenital anomalies. Outcomes including complications, surgical procedures, and readmissions were compared. Outpatient surgeries were not assessed. RESULTS: Among 6148 total patients with incarcerated inguinal hernia, the most common strategy was to perform Early Repair (88% versus 12% Deferral). Following propensity score matching, the cohort included 1288 patients (86% male, average age 1.7 ± 4.1 years). Deferral was associated with equivalent rates of readmission within one year (13% versus 15%, P = 0.143), but higher readmissions within the first 30 days (7% versus 3%, P = 0.002) than Early Repair. Deferral patients had lower rates of orchiectomy (2% versus 5%, P = 0.001), wound infections (< 2% versus 2%, P = 0.020), and other infections (7% versus 15%, P < 0.001). The frequency of other complications including bowel resection, oophorectomy, testicular atrophy, sepsis, and pneumonia were equivalent between groups. Three percent of Deferrals had a diagnosis of incarceration on readmission. CONCLUSIONS: Deferral of incarcerated inguinal hernia repair at index admission is associated with higher rates of hospital readmissions within the first 30 days but equivalent readmission within the entire calendar year. These patients are at risk of repeat incarceration but have significantly lower rates of orchiectomy than their counterparts who undergo inguinal hernia repair at the index admission. We propose that prospective studies be performed to identify good candidates for Elective Deferral following manual reduction and overnight observation. Such studies must capture outpatient surgical outcomes.

Outcomes of Incidental Appendectomy During Ovarian Operations in a National Pediatric Cohort.

INTRODUCTION: The utility of incidental appendectomy (IA) during many ovarian operations has not been evaluated in the pediatric population. This study sought to compare outcomes after ovarian surgery with IA in the pediatric population. METHODS: Females (≤20 y old) undergoing ovarian surgeries (oophorectomy, detorsion and/or drainage) were identified from the Nationwide Readmissions Database (2016-2018). Those with appendicitis were excluded. A propensity score-matched analysis (PSMA) with 46 covariates (demographics, comorbidities, hospitalization factors, etc.) was performed between those receiving ovarian surgery with or without IA. RESULTS: There were 13,202 females (median age 17 [IQR 14-20] y old) who underwent oophorectomy (90%), detorsion (26%), and/or ovarian drainage (13%). There were more episodes of torsion in the PSMA cohort receiving ovarian surgery alone (17% versus 10% IA; P = 0.016), while other indications (ovarian mass, cyst) were similar. Open (66% versus 34% laparoscopic) IAs were more frequent. Length of stay (LOS) was longer for those undergoing IA (3 [2-4] versus 2 [2-4] days ovarian surgery alone; P < 0.001). There was a higher rate of postoperative GI complications in the IA cohort. Subgroup analysis of those undergoing laparoscopic operations demonstrated no difference in LOS or postoperative complications between patients undergoing IA or not. CONCLUSIONS: These data indicate that IA in pediatric ovarian operations is associated with longer LOS and higher GI postoperative complications. However, laparoscopic IA was not associated with higher cost, complications, LOS, or readmissions. This suggests that IA performed during ovarian surgeries in select patients may be cost-effective and worthy of future study.

Assessment of neuromonitoring use and postoperative readmission rates in pediatric Chiari I malformation with syrinx.

INTRODUCTION: While operative intervention for Chiari malformation type I (CMI) with syringomyelia is well established, there is limited data on outcomes of intraoperative neuromonitoring (IONM). This study sought to explore differences in procedural characteristics and their effects on postoperative readmission rates. METHODS: The Nationwide Readmission Database was queried from 2010 to 2014 for patients ≤ 18 years of age with CMI and syringomyelia who underwent cranial decompression or spinal decompression. Demographics, hospital characteristics, and outcomes were analyzed. RESULTS: Over the 5-year period, 2789 patients were identified that underwent operative treatment for CMI with syringomyelia. Mean age was 10 ± 4 years with 55% female. During their index hospitalization 14% of the patients had IONM. Patients receiving IONM had no significant difference in Charleston Comorbidity Index ≥ 1 (16% vs. 15% without, p = 0.774). IONM was more often used in those with private insurance (63% vs. 58% without, p = 0.0004) and less likely in those with Medicaid (29% vs. 37% without, p = 0.004). Patients receiving IONM were more likely to have a postoperative complication (23% vs 17%, p = 0.004) and were more likely to have hospital lengths of stay > 7 days (9% vs. 5% without, p = 0.005). Readmission rates for CMI were 9% within 30 days and 15% within the year. The majority (89%) of readmissions were unplanned. 25% of readmissions were for infection and 27% of readmissions underwent a CMI reoperation. The 30-day readmission rate was higher for those with IONM (12% vs. 8% without, p = 0.010). Median cost for hospitalization was significantly higher for patients with IONM ($26,663 ($16,933-34,397)) vs. those without ($14,577 ($11,538-18,392)), p < 0.001. CONCLUSION: The use of intraoperative neuromonitoring for operative repair of CMI is associated with higher postoperative complications and readmissions. In addition, there are disparities in its use and increased cost to the healthcare system. Further studies are needed to elucidate the factors underlying this association.

Ovarian Preservation and Recurrent Torsion in Children: Both Less Common Than We Thought.

PURPOSE: Surgical management of pediatric ovarian torsion includes total oophorectomy (TO) or ovarian preservation surgery (OPS). This study sought to identify factors contributing to surgical management and readmission outcomes for ovarian torsion. METHODS: The Nationwide Readmission Database from 2010-2014 was used to identify patients < 18 years admitted with ovarian torsion. Patient factors, hospital characteristics, and readmission outcomes were compared by TO and OPS. Standard statistical analysis was performed and results were weighted for national estimates. RESULTS: There were 6028 patients (age 13 ± 4 years) identified with ovarian torsion who underwent either TO (50%) or OPS (50%). Patients had secondary pathology of ovarian cyst (41%), benign mass (19%), and malignant mass (0.4%). OPS was more common in teaching hospitals (84% vs. 74% TO, P<0.001), patients < 13 years of age (41% vs. 37% TO, P = 0.001), and those from high-income households (51% vs. 41% TO, P<0.001). The overall readmission rate was 4%, with no difference between surgical approach (4.3% OPS vs. 4.4% TO, P = 0.882). Of those readmitted (n = 265), readmission diagnoses were cyst (10%), malignant mass (9%), benign mass (7%), and torsion (5%). The overall rate of recurrent torsion was 0.2%, with no difference between OPS and TO (< 0.3% vs. < 0.2%, P = 0.282). CONCLUSION: Half of pediatric patients are undergoing TO for ovarian torsion in the U.S. and disparities exist with the utilization of OPS. There is no difference in rate of readmission or recurrent torsion between surgical approaches, and the overall rate of retorsion is lower than previously reported.

Identifying Abuse and Neglect in Hospitalized Children With Burn Injuries.

BACKGROUND: The purpose of this study was to identify the pattern of injuries that relates to abuse and neglect in children with burn injuries. METHODS: The Nationwide Readmissions Database for 2010-2014 was queried for all patients aged less than 18 y admitted with burn injuries. The primary outcome was child maltreatment identified at the index admission. The secondary outcome was readmission for maltreatment. A subgroup analysis was performed on patients without a diagnosis of maltreatment during the index admission. Multivariable logistic regression was performed for each outcome. RESULTS: There were 57,939 admissions identified and 1960 (3.4%) involved maltreatment at the index admission. Maltreatment was associated with total body surface area burned >20% (odds ratio (OR) 2.79, P < 0.001) and burn of the lower limbs (OR 1.37, P < 0.001). Readmission for maltreatment was found in 120 (0.2%), and the strongest risk factor was maltreatment identified at the index admission (OR 5.11, P < 0.001). After excluding the patients with maltreatment identified at the index admission, 96 (0.17%) children were found to have a readmission for maltreatment that may have been present on the index admission and subsequently missed. The strongest risk factor was burn of the eye or ocular adnexa (OR 3.79, P = 0.001). CONCLUSIONS: This study demonstrates that a portion of admissions for burn injuries in children could involve maltreatment that was undiagnosed. Identifying these at-risk individuals is critical to prevention efforts.

A Systematic Review and Meta-Analysis of Ligation Versus Repair of Inferior Vena Cava Injuries.

OBJECTIVE: Inferior vena cava (IVC) injuries have a high mortality rate that may be related to the location of injury and type of repair. Previous studies have been either single center series or database studies lacking granular detail. These have reported conflicting results. We aimed to perform a systematic review and meta-analysis of published literature evaluating ligation versus repair. METHODS: Studies published in English on MEDLINE or EMBASE from 1946 through October 2018 were examined to evaluate mortality among patients treated with ligation versus repair of IVC injuries. Studies were included if they provided mortality associated with ligation versus repair and reported IVC injury by level. Risk of bias was assessed regarding incomplete and selective outcome reporting with Newcastle-Ottawa score of 7 or higher to evaluate study quality. We used a random-effects model with restricted maximum likelihood estimation method in R using the Metafor package to evaluate outcomes. RESULTS: Our systematic review identified 26 studies, of which 14 studies, including 855 patients, met our inclusion criteria for meta-analysis. IVC ligation was associated with higher mortality than IVC repair (OR: 3.12, P < 0.01, I2 = 49%). Ligation of infrarenal IVC injuries was not statistically associated with mortality (OR: 3.13, P = 0.09). Suprarenal injury location compared to infrarenal (OR 3.11, P < 0.01, I2 = 28%) and blunt mechanism compared to penetrating (OR: 1.91, P = 0.02, I2 = 0%) were also associated with higher mortality. CONCLUSIONS: In this meta-analysis, ligation of IVC injuries was associated with increased mortality compared to repair, but not specifically for infrarenal IVC injuries. Suprarenal IVC injury, and blunt mechanism was associated with increased mortality compared to infrarenal IVC injury and penetrating mechanism, respectively. Data are limited regarding acute renal injury and venous thromboembolic events after IVC ligation and may warrant multicenter studies. Standardized reporting of IVC injury data has not been well established and is needed in order to enable comparison of outcomes across institutions. In particular, reporting of injury location, severity, and repair type should be standardized. A contemporary prospective, multicenter study is needed in order to definitively compare surgical technique.

Nationwide Outcomes and Risk Factors for Reinjury After Penetrating Trauma.

BACKGROUND: Previous studies have shown that a notable portion of patients who are readmitted for reinjury after penetrating trauma present to a different hospital. The purpose of this study was to identify the risk factors for reinjury after penetrating trauma including reinjury admissions to different hospitals. METHODS: The 2010-2014 Nationwide Readmissions Database was queried for patients surviving penetrating trauma. E-codes identified patients subsequently admitted with a new diagnosis of blunt or penetrating trauma. Univariable analysis was performed using 44 injury, patient, and hospital characteristics. Multivariable logistic regression using significant variables identified risk factors for the outcomes of reinjury, different hospital readmission, and in-hospital mortality after reinjury. RESULTS: There were 443,113 patients identified. The reinjury rate was 3.5%. Patients presented to a different hospital in 30.0% of reinjuries. Self-inflicted injuries had a higher risk of reinjury (odds ratio [OR]: 2.66, P < 0.05). Readmission to a different hospital increased risk of mortality (OR: 1.62, P < 0.05). Firearm injury on index admission increased risk of mortality after reinjury (OR: 1.94, P < 0.05). CONCLUSIONS: This study represents the first national finding that one in three patients present to a different hospital for reinjury after penetrating trauma and have a higher risk of mortality due to this fragmentation of care. These findings have implications for quality and cost improvements by identifying areas to improve continuity of care and the implementation of penetrating injury prevention programs.

Validating the ATLS Shock Classification for Predicting Death, Transfusion, or Urgent Intervention.

BACKGROUND: The Advanced Trauma Life Support (ATLS) shock classification has been accepted as the conceptual framework for clinicians caring for trauma patients. We sought to validate its ability to predict mortality, blood transfusion, and urgent intervention. MATERIALS AND METHODS: We performed a retrospective review of trauma patients using the 2014 National Trauma Data Bank. Using initial vital signs data, patients were categorized into shock class based on the ATLS program. Rates for urgent blood transfusion, urgent operative intervention, and mortality were compared between classes. RESULTS: 630,635 subjects were included for analysis. Classes 1, 2, 3, and 4 included 312,404, 17,133, 31, and 43 patients, respectively. 300,754 patients did not meet criteria for any ATLS shock class. Of the patients in class 1 shock, 2653 died (0.9%), 3123 (1.0%) were transfused blood products, and 7115 (2.3%) underwent an urgent procedure. In class 2, 219 (1.3%) died, 387 (2.3%) were transfused, and 1575 (9.2%) underwent intervention. In class 3, 7 (22.6%) died, 10 (32.3%) were transfused, and 13 (41.9%) underwent intervention. In class 4, 15 (34.9%) died, 19 (44.2%) were transfused, and 23 (53.5%) underwent intervention. For uncategorized patients, 21,356 (7.1%) died, 15,168 (5.0%) were transfused, and 23,844 (7.9%) underwent intervention. CONCLUSIONS: Almost half of trauma patients do not meet criteria for any ATLS shock class. Uncategorized patients had a higher mortality (7.1%) than patients in classes 1 and 2 (0.9% and 1.3%, respectively). Classes 3 and 4 only accounted for 0.005% and 0.007%, respectively, of patients. The ATLS classification system does not help identify many patients in severe shock.

Hidden Readmissions after Carotid Endarterectomy and Stenting.

BACKGROUND: Historically, carotid procedures incur a readmission rate of approximately 6%; however, these studies are not nationally representative and are limited to tracking only the index hospitals. We sought to evaluate a nationally representative database for readmission rates (including different hospitals) after both carotid endarterectomy (CEA) and carotid artery stenting (CAS) and determine risk factors for poor outcomes including postoperative mortality and myocardial infarction. METHODS: This study was a retrospective analysis utilizing the 2010-2014 Nationwide Readmissions Database to query patients aged >18 years undergoing CEA or CAS. Outcomes included initial admission mortality, and 30-day readmission, including mortality and myocardial infarction (MI). Univariable analysis of 39 demographic, clinical, and hospital variables was conducted with significance set at P < 0.05. Significant variables were included in a multivariable logistic regression to identify independent risk factors for readmission. Results were weighted for national estimates. RESULTS: There were 527,622 patients undergoing carotid procedures and 13% (n = 69,187) underwent CAS. The 30-day readmission rate was 7% (n = 35,782), and of those, 25% (n = 8,862) were readmitted to a different hospital. When controlling for other factors, CAS was a risk factor for mortality at both index admission (odds ratio [OR] 2.29 [2.11-2.49]) and 30-day readmission (OR 1.48 [1.3-1.69]) and 30-day readmissions at both index hospital (OR 1.11 [1.07-1.14]) and different hospital (OR 1.38 [1.29-1.48]). Readmission to a different hospital increased mortality risk (OR 1.45 [1.29-1.63]) but did not have an effect on MI. Postoperative infections comprised 15% of readmissions while 6% of all readmissions were for stroke. CONCLUSIONS: Previously unreported, one in 4 readmissions after carotid procedures occur at a different hospital and this fragmentation of care could increase mortality risk after carotid procedures particularly for CAS which was also an independent risk factor for postoperative mortality and readmissions. Further validation is required to decrease unnecessary hospital after carotid procedures.

Readmission and reinjury patterns in pediatric assault victims.

INTRODUCTION: Repeated pediatric assault should be a never event. The purpose of this study was to evaluate the readmission and reinjury patterns in pediatric victims of assault including readmissions to different hospitals across the US. METHODS: The 2010-2014 Nationwide Readmissions Database was queried for all nonelective admissions for patients under the age of 18 years. Primary outcomes were readmission or reinjury within 1 year. Results were weighted for national estimates. RESULTS: Assault-related injury occurred in 46,294 pediatric patients with 11.4% of patients being readmitted within 1 year. Of those readmitted, 35.2% presented to a different hospital. Reinjury within 1 year occurred in about 1% of patients, with 14.8% of those presenting to a different hospital. Age < 13 years, firearm-injury, ISS > 15, female gender, and leaving AMA were found to be independent prognostic indicators of readmission within 1 year among pediatric assault patients. CONCLUSION: Care of children who are admitted and discharged for assault injuries is more fragmented that previously thought. Quality metrics fail to capture this previously hidden population. Our results identify treatable factors which could improve the care of children after assault.

Readmissions to an alternate hospital in patients undergoing vascular intervention for claudication and critical limb ischemia associated with significantly higher mortality.

BACKGROUND: Hospital readmissions with 30 days after vascular surgical interventions have been associated with increased morbidity, mortality, and cost. Readmission rates, now a Centers for Medicare and Medicaid Services quality measure, have been studied in databases that have excluded certain payer types and states and have not accounted for readmission to a hospital different from that of the index admission. More accurate and nationally representative data are needed, because this fragmentation of care could lead to flawed conclusions. The purpose of the present study was to examine the incidence and risk factors for readmission to a nonindex hospital for patients admitted for claudication or critical limb ischemia (CLI). We also examined how this disruption of patient care affects mortality. METHODS: The 2013 to 2014 Nationwide Readmissions Database was queried for all patients admitted for claudication or CLI who had undergone angioplasty, lower extremity bypass, or aortobifemoral bypass. The outcomes of interest were 30- and 365-day readmission rates to any hospital, 30- and 365-day readmission rates to a nonindex hospital, and mortality rates. Multivariable logistic regression was used to identify risk factors for readmission to a nonindex hospital. The most common readmission diagnoses and diagnosis-related groups were identified. RESULTS: A total of 92,769 patients had been admitted with peripheral vascular disease (33,055 with claudication and 59,714 with CLI). The 30- and 365-day readmission rate was 8.97% and 21.49% and 19.26% and 40.36%, for claudication and CLI, respectively. Of the 30- and 365-day readmissions, 20.47% and 24.92% had occurred at a nonindex hospital, respectively. Significantly higher mortality rates were found for patients with 30- or 365-day readmissions to different hospitals (odds ratio, 1.4 and 1.8, respectively). Multivariable analysis revealed that procedural indication and angioplasty are not significant risk factors for readmission to a different hospital. However, female sex, length of stay >7 days, and Charlson Comorbidity Index >3 remained significant risk factors for nonindex readmissions. The most common disease groups for nonindex readmission were "septicemia and disseminated infections" (6.5%), "heart failure" (6.4%), "other vascular procedures" (6.1%), and "amputation of lower limb except toes" (4.0%). CONCLUSIONS: Previously unreported, ≥1 in 4 readmissions after lower extremity vascular procedures for peripheral vascular disease will occur at a nonindex hospital. This fragmentation of care is associated with increased mortality and has serious implications for guiding outcome and quality measures. With a sizeable portion of patients missed by current metrics, concern exists that providers are using flawed data. Further study into social- and patient-specific risk factors might provide methods to prevent these readmissions and improve outcomes in this difficult patient population.

Hidden Costs of Hospitalization After Firearm Injury: National Analysis of Different Hospital Readmission.

OBJECTIVE: To compare the risk factors and costs associated with readmission after firearm injury nationally, including different hospitals. BACKGROUND: No national studies capture readmission to different hospitals after firearm injury. METHODS: The 2013 to 2014 Nationwide Readmissions Database was queried for patients admitted after firearm injury. Logistic regression identified risk factors for 30-day same and different hospital readmission. Cost was calculated. Survey weights were used for national estimates. RESULTS: There were 45,462 patients admitted for firearm injury during the study period. The readmission rate was 7.6%, and among those, 16.8% were readmitted to a different hospital. Admission cost was $1.45 billion and 1-year readmission cost was $131 million. Sixty-four per cent of those injured by firearms were publicly insured or uninsured. Readmission predictors included: length of stay >7 days [odds ratio (OR) 1.43, P < 0.01], Injury Severity Score >15 (OR 1.41, P < 0.01), and requiring an operation (OR 1.40, P < 0.01). Private insurance was a predictor against readmission (OR 0.81, P < 0.01). Predictors of readmission to a different hospital were unique and included: initial admission to a for-profit hospital (OR 1.52, P < 0.01) and median household income ≥$64,000 (OR 1.48, P < 0.01). CONCLUSIONS: A significant proportion of the national burden of firearm readmissions is missed by not tracking different hospital readmission and its unique set of risk factors. Firearm injury-related hospitalization costs $791 million yearly, with the largest fraction paid by the public. This has implications for policy, benchmarking, quality, and resource allocation.

Teenage Trauma Patients Are at Increased Risk for Readmission for Mental Diseases and Disorders.

BACKGROUND: Most studies of readmission after trauma are limited to single institutions or single states. The purpose of this study was to determine the risk factors for readmission after trauma for mental illness including readmissions to different hospitals across the United States. MATERIALS AND METHODS: The Nationwide Readmission Database for 2013 and 2014 was queried for all patients aged 13 to 64 y with a nonelective admission for trauma and a nonelective readmission within 30 d. Multivariable logistic regression was performed for readmission for mental diseases and disorders. RESULTS: During the study period, 53,402 patients were readmitted within 30 d after trauma. The most common major diagnostic category on readmission was mental diseases and disorders (12.1%). The age group with the highest percentage of readmissions for mental diseases and disorders was 13 to 17 y (38%). On multivariable regression, the teenage group was also the most likely to be readmitted for mental diseases and disorders compared to 18-44 y (odds ratio [OR] 0.45, P < 0.01) and 45-64 y (OR 0.24, P < 0.01). Other high-risk comorbidities included HIV infection (OR 2.4, P < 0.01), psychosis (OR 2.2, P < 0.01), drug (OR 2.0, P < 0.01), and alcohol (OR 1.4, P < 0.01) abuse. CONCLUSIONS: Teenage trauma patients are at increased risk for hospital readmission for mental illness. Efforts to reduce these admissions should be targeted toward individuals with high-risk comorbidities such as HIV infection, psychosis, and substance abuse.

Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement.

BACKGROUND: Early identification of critically ill patients who will require prolonged mechanical ventilation (PMV) has proven to be difficult. The purpose of this study was to use machine learning to identify patients at risk for PMV and tracheostomy placement. MATERIALS AND METHODS: The Multiparameter Intelligent Monitoring in Intensive Care III database was queried for all intensive care unit (ICU) stays with mechanical ventilation. PMV was defined as ventilation >7 d. Classifiers with a gradient-boosted decision trees algorithm were created for the outcomes of PMV and tracheostomy placement. The variables used were six different severity-of-illness scores calculated on the first day of ICU admission including their components and 30 comorbidities. Mean receiver operating characteristic curves were calculated for the outcomes, and variable importance was quantified. RESULTS: There were 20,262 ICU stays identified. PMV was required in 13.6%, and tracheostomy was performed in 6.6% of patients. The classifier for predicting PMV was able to achieve a mean area under the curve (AUC) of 0.820 ± 0.016, and tracheostomy was predicted with an AUC of 0.830 ± 0.011. There were 60.7% patients admitted to a surgical ICU, and the classifiers for these patients predicted PMV with an AUC of 0.852 ± 0.017 and tracheostomy with an AUC of 0.869 ± 0.015. The variable with the highest importance for predicting PMV was the logistic organ dysfunction score pulmonary component (13%), and the most important comorbidity in predicting tracheostomy was cardiac arrhythmia (12%). CONCLUSIONS: This study demonstrates the use of artificial intelligence through machine-learning classifiers for the early identification of patients at risk for PMV and tracheostomy. Application of these identification techniques could lead to improved outcomes by allowing for early intervention.

Nationally Representative Readmission Factors Associated with Endovascular versus Open Repair of Abdominal Aortic Aneurysm.

BACKGROUND: Hospital readmissions are tied to financial penalties and thus significantly influence health-care policy. Many current studies on readmissions lack national representation by not tracking readmissions across hospitals. The recently released Nationwide Readmission Database is one of the most comprehensive national sources of readmission data available, making it an invaluable resource to understand this critically important health policy issue. METHODS: The Nationwide Readmission Database for 2013 and 2014 was queried for adult patients with abdominal aortic aneurysm (441.4) undergoing endovascular (39.71) or open (38.44) repair. Outcomes examined were overall/initial admission mortality and overall/30-day readmissions. Multivariate logistic regression for these outcomes was also performed on multiple readmission factors. RESULTS: Fifty-three thousand four hundred seventeen patients underwent abdominal aortic aneurysm repair (47,431 endovascular aortic repair [EVAR] versus 5,986 open surgical repair [OSR]). Significant differences were found for EVAR versus OSR on overall readmissions, initial admission cost, readmission costs, length of stay, days to readmission, and overall/initial admission mortality. Multivariate logistic regression analysis found that length of stay > 30, Charlson Comorbidity Index > 1, discharge disposition, and female sex were all significant predictors of 30-day readmission. Repair type was significantly associated with 30-day readmissions; however, it was not a significant factor for overall readmissions. CONCLUSION: There are significant differences in costs, prognosis, and readmission rates for EVAR versus OSR. Given that these differences are being used to create "acceptable" readmission rates, disbursement quotas among hospitals, and subsequent penalties for providers outside the expected rates, it is only prudent to obtain the most accurate information to guide those policies. LEVEL OF EVIDENCE: Care management/epidemiological, level IV.

Nationally Representative Readmission Factors in Patients with Claudication and Critical Limb Ischemia.

BACKGROUND: Hospital readmissions are associated not only with increased mortality, morbidity, and costs but also, with current health-care reform, tied to significant financial and administrative penalties. Some studies show that patients undergoing vascular surgery may have higher than average readmission rates. The recently released Nationwide Readmission Database (NRD) is the most comprehensive national source of readmission data, gathering discharge information from 22 geographically dispersed states, accounting for 51.2% of the total U.S. resident population and 49.3% of all U.S. hospitalizations. The aim of this study is to use the power of the NRD and obtain nationally representative readmission information for patients admitted with claudication or critical limb ischemia (CLI) who underwent revascularization procedures. METHODS: The NRD was queried for all patients admitted for claudication (International Classification of Diseases Ninth Revision [ICD-9] 440.21) or CLI (ICD-9 440.22-440.24) and who underwent percutaneous transluminal angioplasty, peripheral bypass, or aortofemoral bypass. Patient demographics, comorbidities, length of stay (LOS), mortality, readmission rates, and associated costs were collected. Univariable and multivariable logistic regression analysis was implemented on claudication and CLI groups on all outcomes of interest. The most common readmission diagnosis codes and diagnosis groups were also identified. RESULTS: A total of 92,769 patients were admitted for peripheral vascular disease (33,055 with claudication and 59,714 with CLI). The 30-day readmission/any readmission rate was 8.97%/21.49% and 19.26%/40.36%, for claudication and CLI, respectively. Significant differences were found for claudication and CLI, respectively, on initial cost of admission ($18,548 vs. $29,148, P < 0.001), readmission costs ($14,726 vs. $17,681 P < 0.001), LOS (4 days vs. 9 days, P < 0.001), days to readmission (73 days vs. 59 days, P < 0.001), mortality during initial admission (256 vs. 1,363, P < 0.001), and mortality during any admission (538 vs. 3,838, P < 0.001). Univariate and multivariate logistic regression analysis found that claudication, CLI, angioplasty, peripheral bypass, aortofemoral bypass, female sex, age >65, Charlson Comorbidity Index, LOS, and primary expected payer status were all significant predictors of 30-day and overall readmissions at varying degrees. The 5 most common disease readmission groups found were other vascular procedures (12.6%), amputation of lower limb except toes (6.3%), sepsis (5.4%), heart failure (4.9%) and postoperative or other device infections (4.8%). Of the abovementioned groups, the 4 most common diagnoses included "other postoperative infections," sepsis, atherosclerosis of native arteries with gangrene, and "other complications due to other vascular device, implant, or graft." CONCLUSIONS: Our results demonstrate that there is a significant difference in readmission rates, cost, and morbidity between patients admitted for claudication and CLI. Furthermore, based on regression analysis, there are multiple other clear risk factors associated with worse clinical and economic outcomes. Further study is needed to predict which patients will require increased vigilance during their hospital stay to prevent readmissions and worse outcomes. LEVEL OF EVIDENCE: Care management/epidemiological, level IV.

Thirty-day readmissions following parathyroidectomy: Evidence from the National Readmissions Database, 2013-2014.

PURPOSE: Parathyroidectomy is one of the most common procedures performed in the United States, and are increasingly being performed safely in the outpatient setting. However, complications from surgery can be life-threatening, and thus an understanding of who may be at risk is essential. We analyzed and compared the risk factors for patients readmitted within 30 days following inpatient parathyroidectomy for primary or secondary hyperparathyroidism. MATERIALS AND METHODS: We reviewed the National Readmissions Database from 2013 to 2014 for patients who received inpatient parathyroidectomy for primary or secondary hyperparathyroidism. The primary outcome was non-elective readmission within 30 days. Multivariate logistic regression was used to analyze risk factor odds ratios for readmission. RESULTS: 7171 patients underwent inpatient parathyroidectomies in 2013 and 2014. 59.89% of parathyroidectomies were performed for primary hyperparathyroidism, with a 5.6% readmission rate. Most common causes of readmission were septicemia (13.69%), hypocalcemia (12.86%), heart failure (10.79%) and renal failure (9.54%). Having Medicare (OR: 1.71, CI:1.14-2.59, p = .01), Medicaid (OR: 3.24, CI: 2.03-5.17, p < .001), and self-paying (OR: 2.43, CI: 1.11-5.32, p = .02), were associated with increased odds of readmission for those with primary hyperparathyroidism. 21.99% of parathyroidectomies were performed for secondary hyperparathyroidism, with a 19.4% readmission rate. Most common causes of readmission were hypocalcemia (22.88%), hungry bone syndrome (14.38%), electrolyte disorders (13.73%), and renal failure (11.11%). CONCLUSION: Patients with secondary hyperparathyroidism are older, poorer and have more comorbidities than patients with primary hyperparathyroidism, and are more likely to be readmitted within 30 days of parathyroidectomy.

Comparing industry compensation of cardiothoracic surgeons and interventional cardiologists.

BACKGROUND: The purpose of this study was to compare payment trends between cardiothoracic surgeons and interventional cardiologists using the Open Payments website made available for the public by the Center for Medicare and Medicaid Services. MATERIAL AND METHODS: Data were extracted from the second release of the Open Payments database, which includes payments made between August 1, 2013 and December 31, 2014. Total payments to individual physicians were aggregated based on specialty, region of the country, and payment type. The Gini index was calculated for each specialty to measure income disparity. A Gini index of 1 indicates all the payments went to one individual, whereas a Gini index of 0 indicates all individuals received equal payments. RESULTS: During the study period of interest, data were made available for 3587 (80%) cardiothoracic surgeons compared with 2957 (99%) interventional cardiologists. Mean total payments to cardiothoracic surgeons were $7770 (standard deviation, $52,608) compared with a mean of $15,221 (standard deviation, $98,828) for interventional cardiologists. The median total payments to cardiothoracic surgeons was $1050 (interquartile range, $233-$3612) compared with $1851 (interquartile range, $607-$5462) for interventional cardiologists. The overall Gini index was 0.932, whereas the Gini index was 0.862 for interventional cardiologists and 0.860 for cardiothoracic surgeons. CONCLUSIONS: The vast majority of interventional cardiologists and cardiothoracic surgeons received payments from drug and device manufacturers. The mean total payments to interventional cardiologists were higher than any other specialty. However, like cardiothoracic surgery, they were among the most equitably distributed compared with other specialties.

Pediatric laparoscopic appendectomy, risk factors, and costs associated with nationwide readmissions.

BACKGROUND: Previous studies of readmission after pediatric laparoscopic appendectomy have been limited to individual hospitals or noncompeting public pediatric hospitals. The purpose of this study was to evaluate the risk factors and costs associated with nonelective, 30-d readmissions in pediatric patients nationwide across public and private hospitals. MATERIALS AND METHODS: The Nationwide Readmission Database for 2013 was queried for all patients under the age of 18 y with a diagnosis of acute appendicitis undergoing laparoscopic appendectomy. Using multivariate logistic regression with 26 different variables, the odds ratios (ORs) for nonelective readmissions within 30 d were determined. The costs of readmission were calculated as well as the most common diagnoses on readmission. RESULTS: In 2013, there were 12,730 patients under the age of 18 y undergoing laparoscopic appendectomy, and 3.4% were readmitted within 30 d. The overall mean age was 11.6 ± 3.8 y, and the mean age of the readmitted patients was 10.7 ± 4.0 whereas the mean age of patients not readmitted was 11.6 ± 3.8 (P < 0.01, 95% CI: 0.54-1.26). The total cost of readmissions was $3,645,502 with a weighted nationwide estimated cost of $10,351,690. The mean readmission cost was $8304 ± 7864. The most common diagnosis group on readmission was postoperative, posttraumatic, other device infections (36.0%), whereas the most common principal diagnosis was other postoperative infection (38.5%) and the most common secondary diagnosis was peritoneal abscess (11.9%). CONCLUSIONS: Readmission within 30 d after laparoscopic appendectomy in pediatric patients represents a significant resource burden. This study elucidates the patient characteristics that predispose these patients to readmission. Efforts to reduce these readmissions should be focused around preventing infections in patients with these predisposing risk factors.