Community socioeconomic status and rural/racial disparities in HPV-/+ head and neck cancer.

Background: Head and Neck Cancer (HNC) is a major cause of cancer morbidity and mortality in the United States, but the burden is not evenly distributed. Rural and racial disparities are obvious across the HNC continuum. Most HNC disparities research have emphasized individual factors perpetuating rural and racial disparities, ignoring the role of community-level factors. Methods: We analyzed data from the Surveillance Epidemiology and End Results (SEER) program's "Specialized HNC-Human Papillomavirus (HPV) Census-Tract SES" datafile (2010-2016). In addition to cancer patient characteristics, this data includes a socioeconomic status (SES) quintile based on the patient's census-tract. Our outcome variables included whether the HNC patient 1) was diagnosed at a distant stage, 2) received initial treatment two or more months after diagnosis, 3) received radiation therapy, 4) survived two years after diagnosis. We tested for differences across SES quintiles, in the full sample and then within rural/racial categories. We then tested for differences between each rural/racial category conditional on SES quintile. Results: For both HPV(-) and HPV + HNCs, patients in higher SES census-tracts have 8-10% lower rates of distant stage diagnoses and delayed treatment initiation, and 12.0-14.5% higher survival rates than patients in lower SES census-tracts. Radiation treatment only varied across SES quintiles in HPV + HNC patients. We find little evidence of rural-urban differences within each socioeconomic quintile. However, within lower SES quintiles, we found significant racial disparities in delayed detection and treatment. These differences were largest in the lowest SES quintile, as non-Hispanic Black patients reported 10-11% higher rates of delayed detection and treatment initiation than non-Hispanic White patients. Conclusions: Our research illustrates the value and constraints in leveraging community-level factors in health disparities research that can ultimately assist in designing effective policies that address and achieve rural and racial cancer equity.

Mortality prediction by bispectral electroencephalography among 502 patients: its role in dementia.

Complications of delirium and dementia increase mortality; however, it is difficult to diagnose delirium accurately, especially among dementia patients. The bispectral electroencephalography score can detect delirium and predict mortality in elderly patients. We aimed to develop an efficient and reliable bispectral electroencephalography device for high-throughput screening. We also hypothesized that bispectral electroencephalography score can predict mortality among dementia patients. A prospective cohort study was conducted between January 2016 and December 2018 to measure bispectral electroencephalography from elderly patients and correlate with outcomes. A total of 502 elderly (55 years old or older) patients with and without dementia were enrolled. For a replication of the utility of bispectral electroencephalography, mortalities between bispectral electroencephalography-positive and bispectral electroencephalography-negative group were compared. In addition, patients with and without dementia status were added to examine the utility of bispectral electroencephalography among dementia patients. The mortality within 180 days in the bispectral electroencephalography-positive group was higher than that of the bispectral electroencephalography-negative group in both the replication and the total cohorts. Mortality of those in the bispectral electroencephalography-positive group showed a dose-dependent increase in both cohorts. When the dementia patients showed bispectral electroencephalography positive, their mortality was significantly higher than those with dementia but who were bispectral electroencephalography-negative. Mortality within 30 days in the bispectral electroencephalography-positive group was significantly higher than that of the bispectral electroencephalography-negative group. The utility of the bispectral electroencephalography to predict mortality among large sample of 502 elderly patients was shown. The bispectral electroencephalography score can predict mortality among elderly patients in general, and even among dementia patients, as soon as 30 days.

Topological data analysis (TDA) enhances bispectral EEG (BSEEG) algorithm for detection of delirium.

Current methods for screening and detecting delirium are not practical in clinical settings. We previously showed that a simplified EEG with bispectral electroencephalography (BSEEG) algorithm can detect delirium in elderly inpatients. In this study, we performed a post-hoc BSEEG data analysis using larger sample size and performed topological data analysis to improve the BSEEG method. Data from 274 subjects included in the previous study were analyzed as a 1st cohort. Subjects were enrolled at the University of Iowa Hospitals and Clinics (UIHC) between January 30, 2016, and October 30, 2017. A second cohort with 265 subjects was recruited between January 16, 2019, and August 19, 2019. The BSEEG score was calculated as a power ratio between low frequency to high frequency using our newly developed algorithm. Additionally, Topological data analysis (TDA) score was calculated by applying TDA to our EEG data. The BSEEG score and TDA score were compared between those patients with delirium and without delirium. Among the 274 subjects from the first cohort, 102 were categorized as delirious. Among the 206 subjects from the second cohort, 42 were categorized as delirious. The areas under the curve (AUCs) based on BSEEG score were 0.72 (1st cohort, Fp1-A1), 0.76 (1st cohort, Fp2-A2), and 0.67 (2nd cohort). AUCs from TDA were much higher at 0.82 (1st cohort, Fp1-A1), 0.84 (1st cohort, Fp2-A2), and 0.78 (2nd cohort). When sensitivity was set to be 0.80, the TDA drastically improved specificity to 0.66 (1st cohort, Fp1-A1), 0.72 (1st cohort, Fp2-A2), and 0.62 (2nd cohort), compared to 0.48 (1st cohort, Fp1-A1), 0.54 (1st cohort, Fp2-A2), and 0.46 (2nd cohort) with BSEEG. BSEEG has the potential to detect delirium, and TDA is helpful to improve the performance.

Three versus six rereadings of practice passages.

Although the literature clearly demonstrates that repeated readings result in immediate effects on students' performance on the intervention materials as well as long-term benefits, data are less promising regarding its immediate generalization effects to similar materials. Using an alternating treatments design, the current study evaluated the effects of a multicomponent repeated reading intervention on generalization passages after students had read a passage three versus six times. Results indicated improvements in fluency as a result of both interventions, with slightly greater maintenance effects when students were given six opportunities to read passages.