Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from the RECOVER initiative.

STUDY OBJECTIVES: Obstructive sleep apnea (OSA) has been associated with more severe acute coronavirus disease-2019 (COVID-19) outcomes. We assessed OSA as a potential risk factor for Post-Acute Sequelae of SARS-CoV-2 (PASC). METHODS: We assessed the impact of preexisting OSA on the risk for probable PASC in adults and children using electronic health record data from multiple research networks. Three research networks within the REsearching COVID to Enhance Recovery initiative (PCORnet Adult, PCORnet Pediatric, and the National COVID Cohort Collaborative [N3C]) employed a harmonized analytic approach to examine the risk of probable PASC in COVID-19-positive patients with and without a diagnosis of OSA prior to pandemic onset. Unadjusted odds ratios (ORs) were calculated as well as ORs adjusted for age group, sex, race/ethnicity, hospitalization status, obesity, and preexisting comorbidities. RESULTS: Across networks, the unadjusted OR for probable PASC associated with a preexisting OSA diagnosis in adults and children ranged from 1.41 to 3.93. Adjusted analyses found an attenuated association that remained significant among adults only. Multiple sensitivity analyses with expanded inclusion criteria and covariates yielded results consistent with the primary analysis. CONCLUSIONS: Adults with preexisting OSA were found to have significantly elevated odds of probable PASC. This finding was consistent across data sources, approaches for identifying COVID-19-positive patients, and definitions of PASC. Patients with OSA may be at elevated risk for PASC after SARS-CoV-2 infection and should be monitored for post-acute sequelae.

Prolonged Elevations of Factor VIII and von Willebrand Factor Antigen After Multisystem Inflammatory Syndrome in Children.

Multisystem Inflammatory Syndrome in Children (MIS-C) is a late systemic inflammatory response to a recent mild or asymptomatic coronavirus disease of 2019 infection. The pathophysiology is incompletely understood but it often features significant coagulopathy along with cardiac and endothelial dysfunction. Endothelial inflammation has been primarily described in acute coronavirus disease of 2019 infection, with less characterization in MIS-C. Here we describe novel findings of nearly universal severe and prolonged factor VIII (FVIII) and von Willebrand factor antigen elevations in an institutional cohort of patients with MIS-C ages younger than or 21 years old (N=31). All patients had elevated acute phase reactants and D-dimer at presentation and met published criteria for MIS-C. FVIII was high at presentation in 97% of patients but continued to rise during the ensuing weeks of treatment to a mean 429%, peaking on median day 17 of illness as an outpatient. FVIII levels were >600% in multiple patients. von Willebrand factor antigen was measured less frequently but showed similar trends. These escalations occurred amidst resolving cardiac dysfunction and acute phase reactant normalization and despite patients receiving multimodal anti-inflammatory treatments and aspirin and enoxaparin thromboprophylaxis. No thrombotic events occurred. Endothelial dysfunction represented by very elevated FVIII levels may persist longer than other acute phase reactants may reflect.

A comparison of simulation and traditional local anesthesia teaching methods among dental hygiene students.

BACKGROUND: The COVID-19 pandemic forced dental educators to quickly modify the teaching-learning platform without testing outcomes of alternative teaching methods prior to implementation. One critical course affected was the teaching of local anesthesia (LA) that moved from practicing injections using the traditional student-to-student method to the simulation model using manikins. PURPOSE: This study compared two LA teaching methods (student-to-student versus simulation) in two consecutive cohorts before and during the pandemic to assess differences in students' skill level and self-confidence. METHODS: This quasi-experimental study recruited a convenience sample of dental hygiene students at the University of Minnesota during 2020 and 2021. Consent was collected prior to student-to-student injection practice and survey distribution. Data collected were clinical and summative clinical assessments to determine LA skill level, and student surveys to assess self-confidence. Analyses included descriptive statistics, linear models within and between cohorts, and inductive analysis for qualitative survey responses. RESULTS: Fifty of 57 students (88%) completed the survey, and 54 (95%) consented access to their clinical assessments. Skill level was significantly higher for the simulation cohort compared to the student-to-student cohort on the LA summative clinical assessment (59.0 vs. 55.6, p = 0.004). No differences were found in self-confidence between cohorts. A positive association was found between students' self-confidence and skill levels for both cohorts, but only student-to-student cohort results were statistically significant (student-to-student: r = 0.44, p = 0.02; simulation: r = 0.24, p = 0.26). CONCLUSION: Results support incorporating simulation manikin teaching methods for LA with a student-to-student partner component.

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.

Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful for assessing associations between patients' predictors and outcomes of interest. However, these datasets often suffer from missing values in a high proportion of cases, whose removal may introduce severe bias. Several multiple imputation algorithms have been proposed to attempt to recover the missing information under an assumed missingness mechanism. Each algorithm presents strengths and weaknesses, and there is currently no consensus on which multiple imputation algorithm works best in a given scenario. Furthermore, the selection of each algorithm's parameters and data-related modeling choices are also both crucial and challenging. In this paper we propose a novel framework to numerically evaluate strategies for handling missing data in the context of statistical analysis, with a particular focus on multiple imputation techniques. We demonstrate the feasibility of our approach on a large cohort of type-2 diabetes patients provided by the National COVID Cohort Collaborative (N3C) Enclave, where we explored the influence of various patient characteristics on outcomes related to COVID-19. Our analysis included classic multiple imputation techniques as well as simple complete-case Inverse Probability Weighted models. Extensive experiments show that our approach can effectively highlight the most promising and performant missing-data handling strategy for our case study. Moreover, our methodology allowed a better understanding of the behavior of the different models and of how it changed as we modified their parameters. Our method is general and can be applied to different research fields and on datasets containing heterogeneous types.

Diabetes medications and associations with Covid-19 outcomes in the N3C database: A national retrospective cohort study.

BACKGROUND: While vaccination is the most important way to combat the SARS-CoV-2 pandemic, there may still be a need for early outpatient treatment that is safe, inexpensive, and currently widely available in parts of the world that do not have access to the vaccine. There are in-silico, in-vitro, and in-tissue data suggesting that metformin inhibits the viral life cycle, as well as observational data suggesting that metformin use before infection with SARS-CoV2 is associated with less severe COVID-19. Previous observational analyses from single-center cohorts have been limited by size. METHODS: Conducted a retrospective cohort analysis in adults with type 2 diabetes (T2DM) for associations between metformin use and COVID-19 outcomes with an active comparator design of prevalent users of therapeutically equivalent diabetes monotherapy: metformin versus dipeptidyl-peptidase-4-inhibitors (DPP4i) and sulfonylureas (SU). This took place in the National COVID Cohort Collaborative (N3C) longitudinal U.S. cohort of adults with +SARS-CoV-2 result between January 1 2020 to June 1 2021. Findings included hospitalization or ventilation or mortality from COVID-19. Back pain was assessed as a negative control outcome. RESULTS: 6,626 adults with T2DM and +SARS-CoV-2 from 36 sites. Mean age was 60.7 +/- 12.0 years; 48.7% male; 56.7% White, 21.9% Black, 3.5% Asian, and 16.7% Latinx. Mean BMI was 34.1 +/- 7.8kg/m2. Overall 14.5% of the sample was hospitalized; 1.5% received mechanical ventilation; and 1.8% died. In adjusted outcomes, compared to DPP4i, metformin had non-significant associations with reduced need for ventilation (RR 0.68, 0.32-1.44), and mortality (RR 0.82, 0.41-1.64). Compared to SU, metformin was associated with a lower risk of ventilation (RR 0.5, 95% CI 0.28-0.98, p = 0.044) and mortality (RR 0.56, 95%CI 0.33-0.97, p = 0.037). There was no difference in unadjusted or adjusted results of the negative control. CONCLUSIONS: There were clinically significant associations between metformin use and less severe COVID-19 compared to SU, but not compared to DPP4i. New-user studies and randomized trials are needed to assess early outpatient treatment and post-exposure prophylaxis with therapeutics that are safe in adults, children, pregnancy and available worldwide.

Health Information Technology Use among Chronic Disease Patients: An Analysis of the United States Health Information National Trends Survey.

BACKGROUND: Chronic disease is the leading cause of mortality in the United States. Health information technology (HIT) tools show promise for improving disease management. OBJECTIVES: This study aims to understand the following: (1) how self-perceptions of health compare between those with and without disease; (2) how HIT usage varies between chronic disease profiles (diabetes, hypertension, cardiovascular disease, pulmonary disease, depression, cancer, and comorbidities); (3) how HIT trends have changed in the past 6 years; and (4) the likelihood that a given chronic disease patient uses specific HIT tools. METHODS: The Health Information National Trends Survey (HINTS) inclusive of 2014 to 2020 served as the primary data source with statistical analysis completed using Stata. Bivariate analyses and two-tailed t-tests were conducted to compare self-perceived health and HIT usage to chronic disease. Logistic regression models were created to examine the odds of a specific patient using various forms of HIT, controlling for demographics and comorbidities. RESULTS: Logistic regression models controlling for sociodemographic factors and comorbidities showed that pulmonary disease, depression, and cancer patients had an increased likelihood of using HIT tools, for example, depression patients had an 81.1% increased likelihood of looking up health information (p < 0.0001). In contrast, diabetic, high blood pressure, and cardiovascular disease patients appeared to use HIT tools at similar rates to patients without chronic disease. Overall HIT usage has increased during the timeframe examined. CONCLUSION: This study demonstrates that certain chronic disease cohorts appear to have greater HIT usage than others. Further analysis should be done to understand what factors influence patients to utilize HIT which may provide additional insights into improving design and user experience for other populations with the goal of improving management of disease. Such analyses could also establish a new baseline to account for differences in HIT usage as a direct consequence of the novel coronavirus disease 2019 (COVID-19) pandemic.

Brief Motivational Interviewing: Evaluation of a skills-based education program

Purpose: Oral health care providers have been charged with recommending the human papillomavirus (HPV) vaccine for the prevention of HPV oropharyngeal cancers (OPC). The purpose of this study was to determine dental hygiene student competency of the application of brief motivational interviewing (BMI) and the accuracy of HPV vaccine information for the prevention of HPV OPC. Methods: A convenience sample of 59 senior dental hygiene (DH) students from the class of 2020 (n=31) and the class of 2021 (n=28) participated in the HPV OPC curriculum and skills-based BMI training at the University of Minnesota School of Dentistry. Students completed two audio-recorded patient interactions and one Objective Structured Clinical Examination (OSCE). Student self-assessment and faculty evaluation scores were determined by a standardized BMI HPV rubric. Descriptive statistics were used to analyze the data. Results: Class of 2021 self-assessment ratings were higher than the class of 2020 in all components of the BMI HPV rubric at all three time points. Faculty evaluation achieved statistically significant improvement for the class of 2021 from patient Interaction 1 (evocation p<0.01;summary p<0.01) to the OSCE (evocation p<0.05;summary p<0.01). Both classes rated themselves as competent (≥70%) for most BMI subcategories. Conclusion: Dental hygiene student competence in demonstrating the components of the Spirit of MI to the accuracy of HPV and HPV vaccine information was achieved through the implementation of the skills-based BMI HPV training. Outcomes of student self-assessment and faculty evaluation highlighted the Kirkpatrick Model as a framework to evaluate BMI skills-based training.

Impact of Covid-19 on dental hygiene educators: A national survey.

PURPOSE: The purpose of this study was to assess the impact of the Covid-19 pandemic on dental hygiene (DH) educators' perception of personal and professional burnout and efficacy in the online/hybrid learning environment. METHODS: A cross-sectional study of DH faculty members from 327 United States entry level DH programs was invited to participate in this study. A 36 item survey was disseminated in Qualtricsxm March 2021. The Copenhagen Burnout Inventory was used to measure personal, work-related, and burnout related to working with students. The Michigan Nurse Educators Sense of Efficacy for Online Teaching instrument was used to measure efficacy in online/hybrid learning. RESULTS: The survey had an institutional response rate of 46%. Personal burnout scores had a significantly higher mean as compared to work-related and burnout working with students' scores. A majority (66%) of respondents reported often feeling tired. Only personal burnout scores had a significant negative correlation with teaching efficacy scores. Administrators/program directors and full-time faculty had significantly higher mean personal and work-related burnout scores as compared to part-time/adjunct clinical faculty. There were no significant differences in teaching efficacy scores by faculty position and institutional setting. CONCLUSION: COVID-19 had significant impact on full-time DH educators' personal and professional burnout levels. Full-time administrators/program directors/DH educators reported higher levels of personal burnout. It seems that personal burnout has a negative relationship with teaching efficacy. Faculty position rather than institution impacted personal burnout. Despite personal and professional burnout, DH faculty reported low-levels of burnout related to working with students.

Aerosol Generation from the Respiratory Tract with Various Modes of Oxygen Delivery.

Rationale: Aerosol generation with modes of oxygen therapy such as high-flow nasal cannula and noninvasive positive-pressure ventilation is a concern for healthcare workers during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. The amount of aerosol generation from the respiratory tract with these various oxygen modalities is unknown.Objectives: To measure the size and number concentration of particles and droplets generated from the respiratory tract of humans exposed to various oxygen delivery modalities.Methods: Ten healthy participants with no active pulmonary disease were enrolled. Oxygen modalities tested included nonhumidified nasal cannula, face mask, heated and humidified high-flow nasal cannula, and noninvasive positive-pressure ventilation. Aerosol generation was measured with each oxygen mode while participants performed maneuvers of normal breathing, talking, deep breathing, and coughing. Testing was conducted in a negative-pressure room. Particles with a diameter between 0.37 and 20 µm were measured using an aerodynamic particle spectrometer.Measurements and Main Results: Median particle concentration ranged from 0.041 to 0.168 particles/cm3. Median diameter ranged from 1.01 to 1.53 µm. Cough significantly increased the number of particles measured. Measured aerosol concentration did not significantly increase with the use of either humidified high-flow nasal cannula or noninvasive positive-pressure ventilation. This was the case during normal breathing, talking, deep breathing, and coughing.Conclusions: Oxygen delivery modalities of humidified high-flow nasal cannula and noninvasive positive-pressure ventilation do not increase aerosol generation from the respiratory tract in healthy human participants with no active pulmonary disease measured in a negative-pressure room.