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PURPOSE Surgical resection remains the cornerstone of retroperitoneal soft tissue sarcoma (RPS) treatment. Patient- and sarcoma-related factors are well known to influence survival outcomes. The effect of hospital-related factors on long-term survival, however, are not well understood. We sought to assess the relative contribution of hospital-level factors to mortality after surgical treatment of RPS. METHODS AND MATERIALS The 2004-2015 National Cancer Database was used to identify 10,113 patients who underwent surgical treatment of RPS. Patient-, sarcoma-, hospital-, and treatment-level factors were compared by increasing survival times. Stepwise multivariable Cox regression was performed that controlled for covariates to measure the relative contributions of these factors on overall survival (OS). Effect modification analyses ascertained how hospital type modulates the volume relationship with respect to RPS mortality. RESULTS Factors predictive of worsening OS were older age, nonprivate insurance, low income, presence of comorbidities, tumor histology, high grade or stage, and R2 resection (for all, 푃 < .05). Increasing hospital surgical volume predicted decreasing risk of death across all survival times. However, analysis by hospital type demonstrated that compared with academic centers, the risk of death at community centers increased significantly as surgical volume increased (hazard ratio, 1.26; 95% CI, 1.03 to 1.53). CONCLUSION Hospital factors affect mortality after surgical treatment of RPS. Specifically, hospital type alters the surgical volume-outcome relationship for RPS mortality such that community centers perform worse with increasing volumes. Recommendations that higher surgical volume improves outcomes cannot be applied universally and must be re-examined in other complex surgical cancers. [ABSTRACT FROM AUTHOR]

Arab Americans have high prevalences of metabolic syndrome (MetS) and depression. Depression and external locus of control (LOC) may worsen MetS. We examined the relationship between depression and MetS with a convenience sample of 136 Arab Americans living in the Washington, DC, metropolitan area. Participants were surveyed with the Multidimensional Health Locus of Control questionnaire and the Center of Epidemiological Studies-Depression scale. Laboratory measurements were collected based on the components of MetS. A structural equation model was used to explore the relationship between MetS and depression through analysis of LOC. MetS was significantly correlated with external LOC (powerful others and chance), and depression was correlated with a weak internal LOC. Future study of the effect of LOC on health outcomes in Arab Americans may be used to mitigate MetS and depression in this population. [ABSTRACT FROM AUTHOR]

To study the complex cellular interactions involved in wound healing, it is essential to have an animal model that adequately mimics the human wound microenvironment. Currently available murine models are limited because wound contraction introduces bias into wound surface area measurements. The purpose of this study was to demonstrate utility of a human-mouse xenograft model for studying human wound healing. Normal human skin was harvested from elective abdominoplasty surgery, xenografted onto athymic nude (nu/nu) mice, and allowed to engraft for 3 months. The graft was then wounded using a 2-mm punch biopsy. Wounds were harvested on sequential days to allow tissue-based markers of wound healing to be followed sequentially. On the day of wound harvest, mice were injected with XenoLight RediJect cyclooxygenase-2 ( COX-2) probe and imaged according to package instructions. Immunohistochemistry confirms that this human-mouse xenograft model is effective for studying human wound healing in vivo. Additionally, in vivo fluorescent imaging for inducible COX-2 demonstrated upregulation from baseline to day 4 ( P = 0·03) with return to baseline levels by day 10, paralleling the reepithelialisation of the wound. This human-mouse xenograft model, combined with in vivo fluorescent imaging provides a useful mechanism for studying molecular pathways of human wound healing. [ABSTRACT FROM AUTHOR]

ABSTRACT The Agency for Healthcare Research and Quality patient safety indicators (PSI) were developed as a metric of hospital complication rates. PSI-14 measures postoperative wound dehiscence and specifically how often a surgical wound in the abdominal or pelvic area fails to heal after abdominopelvic surgery. Wound dehiscence is estimated to occur in 0.5-3.4% of abdominopelvic surgeries, and carries a mortality of up to 40%. Postoperative wound dehiscence has been adopted as a surrogate safety outcome measure as it impacts morbidity, length of stay, healthcare costs and readmission rates. Postoperative wound dehiscence cases from the Nationwide Inpatient Sample demonstrate 9.6% excess mortality, 9.4 days of excess hospitalization and $40,323 in excess hospital charges relative to matched controls. The purpose of the current study was to investigate the associations between PSI-14 and measurable medical and surgical comorbidities using the Explorys technology platform to query electronic health record data from a large hospital system serving a diverse patient population in the Washington, DC and Baltimore, MD metropolitan areas. The study population included 25,636 eligible patients who had undergone abdominopelvic surgery between January 1, 2008 and December 31, 2012. Of these cases, 786 (2.97%) had postoperative wound dehiscence. Patient-associated comorbidities were strongly associated with PSI-14, suggesting that this indicator may not solely be an indicator of hospital safety. There was a strong association between PSI-14 and opioid use after surgery and this finding merits further investigation. [ABSTRACT FROM AUTHOR]

This study evaluated the association of arsenic exposure, as measured in urine, with diabetes prevalence, glycated hemoglobin, and insulin resistance in American Indian adults from Arizona, Oklahoma, and North and South Dakota (1989–1991). We studied 3,925 men and women 45–74 years of age with available urine arsenic measures. Diabetes was defined as a fasting glucose level of 126 mg/dL or higher, a 2-hour glucose level of 200 mg/dL or higher, a hemoglobin A1c (HbA1c) of 6.5% or higher, or diabetes treatment. Median urine arsenic concentration was 14.1 µg/L (interquartile range, 7.9–24.2). Diabetes prevalence was 49.4%. After adjustment for sociodemographic factors, diabetes risk factors, and urine creatinine, the prevalence ratio of diabetes comparing the 75th versus 25th percentiles of total arsenic concentrations was 1.14 (95% confidence interval: 1.08, 1.21). The association between arsenic and diabetes was restricted to participants with poor diabetes control (HbA1c ≥8%). Arsenic was positively associated with HbA1c levels in participants with diabetes. Arsenic was not associated with HbA1c or with insulin resistance (assessed by homeostatic model assessment to quantify insulin resistance) in participants without diabetes. Urine arsenic was associated with diabetes control in a population from rural communities in the United States with a high burden of diabetes. Prospective studies that evaluate the direction of the relation between poor diabetes control and arsenic exposure are needed. [ABSTRACT FROM PUBLISHER]

Background: Centralization of complex surgical care has led patients to travel longer distances. Emerging evidence suggested a negative association between increased travel distance and mortality after pancreatectomy. However, the reason for this association remains largely unknown. We sought to unravel the relationships among travel distance, receiving pancreatectomy at high-volume hospitals, delayed surgery, and operative outcomes.Study Design: We identified 44,476 patients who underwent pancreatectomy for neoplasms between 2004 and 2013 at the reporting facility from the National Cancer Database. Multivariable analyses were performed to examine the independent relationships between increments in travel distance mortality (30-day and long-term survival) after adjusting for patient demographics, comorbidity, cancer stage, and time trend. We then examined how additional adjustment of procedure volume affected this relationship overall and among rural patients.Results: Median travel distance to undergo pancreatectomy increased from 16.5 to 18.7 miles (p for trend < 0.001). Although longer travel distance was associated with delayed pancreatectomy, it was also related to higher odds of receiving pancreatectomy at a high-volume hospital and lower postoperative mortality. In multivariable analysis, difference in mortality among patients with varying travel distance was attenuated by adjustment for procedure volume. However, longest travel distance was still associated with a 77% lower 30-day mortality rate than shortest travel among rural patients, even when accounting for procedure volume.Conclusions: Our large national study found that the beneficial effect of longer travel distance on mortality after pancreatectomy is mainly attributable to increase in procedure volume. However, it can have additional benefits on rural patients that are not explained by volume. Distance can represent a surrogate for rural populations. [ABSTRACT FROM AUTHOR]

Background: Although the Affordable Care Act (ACA) expanded Medicaid access, it is unknown whether this has led to greater access to complex surgical care. Evidence on the effect of Medicaid expansion on access to surgical cancer care, a proxy for complex care, is sparse. Using New York's 2001 statewide Medicaid expansion as a natural experiment, we investigated how expansion affected use of surgical cancer care among beneficiaries overall and among racial minorities.Study Design: From the New York State Inpatient Database (1997 to 2006), we identified 67,685 nonelderly adults (18 to 64 years of age) who underwent cancer surgery. Estimated effects of 2001 Medicaid expansion on access were measured on payer mix, overall use of surgical cancer care, and percent use by racial/ethnic minorities. Measures were calculated quarterly, adjusted for covariates when appropriate, and then analyzed using interrupted time series.Results: The proportion of cancer operations paid by Medicaid increased from 8.9% to 15.1% in the 5 years after the expansion. The percentage of uninsured patients dropped by 21.3% immediately after the expansion (p = 0.01). Although the expansion was associated with a 24-case/year increase in the net Medicaid case volume (p < 0.0001), the overall all-payer net case volume remained unchanged. In addition, the adjusted percentage of ethnic minorities among Medicaid recipients of cancer surgery was unaffected by the expansion.Conclusions: Pre-ACA Medicaid expansion did not increase the overall use or change the racial composition of beneficiaries of surgical cancer care. However, it successfully shifted the financial burden away from patient/hospital to Medicaid. These results might suggest similar effects in the post-ACA Medicaid expansion. [ABSTRACT FROM AUTHOR]

Background: Despite national emphasis on care coordination, little is known about how fragmentation affects cancer surgery outcomes. Our study examines a specific form of fragmentation in post-discharge care-readmission to a hospital different from the location of the operation-and evaluates its causes and consequences among patients readmitted after major cancer surgery.Study Design: We used the State Inpatient Database of California (2004 to 2011) to identify patients who had major cancer surgery and their subsequent readmissions. Logistic models were used to examine correlates of non-index readmissions and to assess associations between location of readmission and outcomes, measured by in-hospital mortality and repeated readmission.Results: Of 9,233 readmissions within 30 days of discharge after major cancer surgery, 20.0% occurred in non-index hospitals. Non-index readmissions were associated with emergency readmission (odds ratio [OR] = 2.63; 95% CI, 2.26-3.06), rural residence (OR = 1.81; 95% CI, 1.61-2.04), and extensive procedures (eg hepatectomy vs proctectomy; OR = 2.77; CI, 2.08-3.70). Mortality was higher during non-index readmissions than index readmissions independent of patient, procedure, and hospital factors (OR = 1.31; 95% CI, 1.03-1.66), but was mitigated by adjusting for conditions present at readmission (OR = 1.24; 95% CI, 0.98-1.58). Non-index readmission predicted higher odds of repeated readmission within 60 days of discharge from the first readmission (OR = 1.16; 95% CI, 1.02-1.32), independent of all covariates.Conclusions: Non-index readmissions constitute a substantial proportion of all readmissions after major cancer surgery. They are associated with more repeated readmissions and can be caused by severe surgical complications and increased travel burden. Overcoming disadvantages of non-index readmissions represents an opportunity to improve outcomes for patients having major cancer surgery. [ABSTRACT FROM AUTHOR]

Background: Penalties from the Hospital Readmission Reduction Program can push financially strained, vulnerable patient-serving hospitals into additional hardship. In this study, we quantified the association between vulnerable hospitals and readmissions and examined the respective contributions of patient- and hospital-related factors.Methods: A total of 110,857 patients who underwent major cancer operations were identified from the 2004-2011 State Inpatient Database of California. Vulnerable hospitals were defined as either self-identified safety net hospitals (SNHs) or hospitals with a high percentage of Medicaid patients (high Medicaid hospitals [HMHs]). We used multivariable logistic regression to determine the association between vulnerable hospitals and readmission. Patient and hospital contributions to the elevation in odds of readmission were assessed by comparing estimates from models with different subsets of predictors.Results: Of the 355 hospitals, 13 were SNHs and 31 were HMHs. After adjusting for Hospital Readmission Reduction Program variables, SNHs had higher 30-day (odds ratio [OR] = 1.32; 95% CI, 1.18-1.47), 90-day (OR = 1.28; 95% CI, 1.18-1.38), and repeated readmissions (OR = 1.33; 95% CI, 1.18-1.49); HMHs also had higher 30-day (OR = 1.18; 95% CI, 1.05-1.32), 90-day (OR = 1.28; 95% CI, 1.16-1.42), and repeated readmissions (OR = 1.24; 95% CI, 1.01-1.54). Compared with patient characteristics, hospital factors accounted for a larger proportion of the increase in odds of readmission among SNHs (60% to 93% vs 24% to 39%), but a smaller proportion among HMHs (9% to 15% vs 60% to 115%).Conclusions: Vulnerable status of hospitals is associated with higher readmission rates after major cancer surgery. These findings reinforce the call to account for socioeconomic variables in risk adjustments for hospitals who serve a disproportionate share of disadvantaged patients. [ABSTRACT FROM AUTHOR]