Insurance status is associated with urgent carotid endarterectomy and worse postoperative outcomes.

OBJECTIVE: Underinsured patients can experience worse preoperative medical optimization. We aimed to determine whether insurance status was associated with carotid endarterectomy (CEA) urgency and postoperative outcomes. METHODS: We analyzed the Society for Vascular Surgery Vascular Quality Initiative Carotid Endarterectomy dataset from January 2012 to January 2021. Univariable and multivariable methods were used to analyze the differences across the insurance types for the primary outcome variable: CEA urgency. The analyses were limited to patients aged <65 years to minimize age confounding across insurers. We also examined differences in preoperative medical optimization and symptomatic disease and postoperative outcomes. A secondary analysis was performed to examine the effect of CEA urgency on the postoperative outcomes. RESULTS: A total of 27,331 patients had undergone first-time CEA. Of these patients, 4600 (17%) had Medicare, 3440 (13%) had Medicaid, 17,917 (65%) had commercial insurance, and 1374 (5%) were uninsured. The Medicaid and uninsured patients had higher rates of urgent operation compared with Medicare (20.0% and 34.7% vs 14.4%; P < .001), with no differences in the commercial group vs the Medicare group. Additionally, Medicaid and uninsured patients had lower rates of aspirin, statin, and/or antiplatelet use (93.6% and 93.5% vs 95.8%; P < .001) and higher rates of symptomatic disease (42.1% and 57.6% vs 36.2%; P < .001) compared with Medicare patients. The rate of perioperative stroke/death was higher for the Medicaid and uninsured patients than for the Medicare patients (1.63% and 1.89% vs 1.02%; P = .017 and P = .01, respectively), with no differences in the commercial group. Multivariable analysis demonstrated that compared with Medicare, Medicaid and uninsured status were associated with increased odds of an urgent operation (odds ratio [OR], 1.3; 95% confidence interval [CI], 1.1-1.5; and OR, 2.3; 95% CI, 2.0-2.7, respectively), symptomatic disease (OR, 1.2; 95% CI, 1.1-1.4; and OR, 2.2; 95% CI, 1.9-2.5, respectively), and perioperative stroke/death (OR, 1.6; 95% CI, 1.1-2.4; and OR, 1.8; 95% CI, 1.1-3.0, respectively) and a decreased odds of aspirin, statin, and/or antiplatelet use (OR, 0.71; 95% CI, 0.6-0.9; and OR, 0.76; 95% CI, 0.6-0.99, respectively). Additionally, the rates of perioperative stroke/death were higher for patients who had required urgent surgery compared with elective surgery (2.8% vs 1.0%; P < .001). Multivariable analysis demonstrated increased odds of perioperative stroke/death for patients who had required urgent surgery (OR, 2.4; 95% CI, 1.9-3.1). CONCLUSIONS: Medicaid and uninsured patients were more likely to require urgent CEA, in part because of poor preoperative medical optimization. Additionally, urgent operation was independently associated with worse postoperative outcomes. These results highlight the need for improved preoperative follow-up for underinsured populations.

Assessment of peripheral neuropathy in type 2 diabetes by diffusion tensor imaging: A case-control study.

OBJECTIVES: This study aimed to evaluate diabetes peripheral neuropathy (DPN) by diffusion tensor imaging (DTI) and explore the correlation between DTI parameters and electrophysiological parameters. METHODS: We examined tibial nerve (TN) and common peroneal nerve (CPN) of 32 DPN patients and 23 healthy controls using T1-weighted magnetic resonance imaging and DTI. Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) of TN and CPN were measured and compared between groups. Spearman correlation coefficient was used to explore the relationship between DTI parameters and electrophysiology parameters in the DPN group. Diagnostic value was assessed by receiver operating characteristic (ROC) analysis. RESULTS: In the DPN group, FA was decreased (p < 0.0001) and MD and RD were increased (p < 0.05, p < 0.001) in the TN and CPN compared with the values of healthy control group. Moreover, in the DPN group, FA was positively correlated with motor nerve conduction velocity (MCV) (p < 0.0001), and both MD and RD were negatively correlated with MCV (p < 0.05, p < 0.001). However, there was no correlation between AD and any electrophysiological parameters. Among all DTI parameters, FA displayed the best diagnostic accuracy, with an area under the ROC curve of 0.882 in TN and 0.917 in CPN. CONCLUSION: FA and RD demonstrate appreciable diagnostic accuracy. Furthermore, they both have a moderate correlation with MCV.

Vegetation Dynamic Assessment by NDVI and Field Observations for Sustainability of China's Wulagai River Basin.

Accurate monitoring of grassland vegetation dynamics is essential for ecosystem restoration and the implementation of integrated management policies. A lack of information on vegetation changes in the Wulagai River Basin restricts regional development. Therefore, in this study, we integrated remote sensing, meteorological, and field plant community survey data in order to characterize vegetation and ecosystem changes from 1997 to 2018. The residual trend (RESTREND) method was utilized to detect vegetation changes caused by human factors, as well as to evaluate the impact of the management of pastures. Our results reveal that the normalized difference vegetation index (NDVI) of each examined ecosystem type showed an increasing trend, in which anthropogenic impact was the primary driving force of vegetation change. Our field survey confirmed that the meadow steppe ecosystem increased in species diversity and aboveground biomass; however, the typical steppe and riparian wet meadow ecosystems experienced species diversity and biomass degradation, therefore suggesting that an increase in NDVI may not directly reflect ecosystem improvement. Selecting an optimal indicator or indicator system is necessary in order to formulate reasonable grassland management policies for increasing the sustainability of grassland ecosystems.

Urinary bisphenol A and its alternatives among pregnant women: Predictors and risk assessment.

BACKGROUND: Exposure to bisphenol A (BPA) has been associated with various adverse health outcomes. Recently, an increasing concern on its alternatives such as bisphenol S (BPS) and bisphenol F (BPF) has been aroused due to the restriction use of BPA. Few studies have identified predictors of exposure to BPA alternatives and assessed their health risks. OBJECTIVE: The aim of this study was to identify predictors of BPA and its alternatives and to assess their health risks among pregnant women. METHODS: We detected first morning urinary concentrations of BPA and its alternatives (BPS and BPF) among 1097 pregnant women from an established Chinese cohort. A questionnaire was conducted to obtain demographic characteristics, dietary habits, and lifestyles. We examined the predictors of creatinine-adjusted urinary BPA and its alternatives concentrations using multivariable linear regression. Risk assessment of exposure to BPA and its alternatives was calculated based on the estimated of daily intake (EDI). RESULTS: Geometric means of creatinine-adjusted urinary BPA, BPF, and BPS were 0.92, 0.12, and 0.08 µg/g creatinine, respectively. Pregnant women from Wuhan had lower concentrations of BPA, BPF, and ∑BPs (sum of BPA, BPF, and BPS) than those from Xiaogan. Intake of fried food was related to higher concentrations of BPA, and intake of pickled food was associated with higher concentrations of BPF and ∑BPs. The maximum EDI values for exposure to BPA, BPF, BPS, and ∑BPs ranged from 5.6428 to 13.3356 nmol/kg body weight/day, which were below the tolerable daily intake (TDI) for BPA defined by the European Food Safety Authority (EFSA) (18 nmol/kg body weight/day). The maximum hazard index (HI) value was 0.7409. CONCLUSION: Several predictors identified in this study may inform public recommendations to reduce exposure to BPA and its alternatives.