Racial Disparities and Other Socioeconomic Predictors of Mortality in Acute Pulmonary Embolism Treatment from the National Inpatient Sample.

PURPOSE: To explore the significance of socioeconomic factors such as race and ethnicity as predictors of mortality in submassive and massive acute pulmonary embolism (PE). MATERIALS AND METHODS: Hospitalizations of patients aged >18 years with acute, nonseptic PE from 2016 to 2019 were identified from the National Inpatient Sample and divided into interventional radiology (IR) (catheter-directed thrombolysis and thrombectomy) and non-IR (tissue plasminogen activator) treatments. Statistical analyses calculated significant odds ratios (ORs) via 95% confidence intervals (CIs). The primary outcome of interest was mortality rate. Comorbidities affecting mortality were examined secondarily. RESULTS: Non-Hispanic (NH) Black, Hispanic, and Asian/Pacific Islander patients were significantly less likely to undergo an IR procedure for acute, nonseptic PE compared with White patients (NH Black, OR, 0.83 [95% CI, 0.76-0.90], P < .05; Hispanic, 0.78 [0.68-0.89], P = .06; Asian/Pacific Islander, 0.71 [0.51-0.98], P = .72); however, these differences were eliminated when propensity score matching was performed for age, biological sex, and primary insurance type or for primary insurance type alone. NH Black patients were significantly more likely to die than White patients, regardless of undergoing non-IR or IR treatment. Overall risk of death was 41% higher for NH Black patients than for White patients (relative risk, 1.41 [95% CI, 1.24-1.60]; P < .001). CONCLUSIONS: NH Black patients have a higher risk of mortality from acute, nonseptic PE than White patients. Independent of race, undergoing IR management for acute, nonseptic PEs was associated with a lower mortality rate. Matching for primary insurance type eliminates differences in mortality between races, suggesting that socioeconomic status may determine outcomes in acute PE.

A Contemporary Review of Trachea, Nose, and Ear Cartilage Bioengineering and Additive Manufacturing.

The complex structure, chemical composition, and biomechanical properties of craniofacial cartilaginous structures make them challenging to reconstruct. Autologous grafts have limited tissue availability and can cause significant donor-site morbidity, homologous grafts often require immunosuppression, and alloplastic grafts may have high rates of infection or displacement. Furthermore, all these grafting techniques require a high level of surgical skill to ensure that the reconstruction matches the original structure. Current research indicates that additive manufacturing shows promise in overcoming these limitations. Autologous stem cells have been developed into cartilage when exposed to the appropriate growth factors and culture conditions, such as mechanical stress and oxygen deprivation. Additive manufacturing allows for increased precision when engineering scaffolds for stem cell cultures. Fine control over the porosity and structure of a material ensures adequate cell adhesion and fit between the graft and the defect. Several recent tissue engineering studies have focused on the trachea, nose, and ear, as these structures are often damaged by congenital conditions, trauma, and malignancy. This article reviews the limitations of current reconstructive techniques and the new developments in additive manufacturing for tracheal, nasal, and auricular cartilages.

Categorical versus dimensional approaches to autism-associated intermediate phenotypes in 22q11.2 microdeletion syndrome.

BACKGROUND: 22q11.2 Microdeletion syndrome (22q11DS) is associated with elevated rates of autism spectrum disorders (ASDs), although the diagnosis is controversial. In order to determine whether there is a biological substrate of ASD in 22q11DS, we examined neurocognitive and structural neuroanatomic differences between those with 22q11DS and an ASD diagnosis (22q11DS-ASD+) and those with 22q11DS without ASD (22q11DS-ASD-); we then determined whether these differences were better characterized within a categorical or dimensional framework. METHODS: We collected multiple neurocognitive measures and high-resolution T1-weighted scans on 116 individuals (29 22q11DS-ASD+, 32 22q11DS-ASD-, 55 typically developing controls) between 6 and 26 years of age. Measures of subcortical volume, cortical thickness (CT), and surface area were extracted using the FreeSurfer image analysis suite. Group differences in neurocognitive and neuroanatomic measures were assessed; regression analyses were then performed to determine whether a categorical or dimensional measure of ASD was a better predictor of neurocognitive impairment and/or neuroanatomic abnormalities observed in 22q11DS-ASD+. RESULTS: In comparison to 22q11DS-ASD-, 22q11DS-ASD+ participants exhibited decreased bilateral hippocampal CT and decreased right amygdala volumes. Those with 22q11DS-ASD+ also showed slowed processing speed and impairments in visuospatial and facial memory. Neurocognitive impairments fit a dimensional model of ASD, whereas reductions in parahippocampal CT were best explained by a categorical measure of ASD. CONCLUSIONS: A combination of categorical and dimensional measures of ASD may provide the most comprehensive understanding of ASDs in 22q11DS.