Miracle-dz/UniFAR-FTUs huggingface dataset:
How did individual differences in neurocognition and health literacy influence the initial uptake and use of health-related information about COVID-19?

ABSTRACT Introduction: The rapid development of coronavirus disease 2019 (COVID-19) into a pandemic required people to quickly acquire, evaluate, and apply novel complex health-related information about the virus and transmission risks. This study examined the potentially unique and synergistic roles of individual differences in neurocognition and health literacy in the early uptake and use of COVID-19 public health information. Method: Data were collected between April 23 and 21 May 2020, a period during which 42 out of 50 states were under a stay-at-home order. Participants were 217 healthy adults who completed a telephone-based battery that included standard tests of neurocognition, health literacy, verbal IQ, personality, and anxiety. Participants also completed measures of COVID-19 information-seeking skills, knowledge, prevention intentions, and prevention behaviors. Results: A series of hierarchical multiple regressions with data-driven covariates showed that neurocognition (viz, episodic verbal memory and executive functions) was independently related to COVID-19 knowledge (e.g. symptoms, risks) at a medium effect size, but not to information-seeking skills, prevention intentions, or prevention behaviors. Health literacy was independently related to all measured aspects of COVID-19 health information and did not interact with neurocognition in any COVID-19 health domain. Conclusions: Individual differences in neurocognition and health literacy played independent and meaningful roles in the initial acquisition of knowledge related to COVID-19, which is a novel human health condition. Future studies might examine whether neurocognitive supports (e.g. spaced retrieval practice, elaboration) can improve COVID-19-related knowledge and health behaviors in vulnerable populations.
Improved Perceptions of Education and Wellness Among General Surgery Residents and Faculty After the Implementation of Outpatient Scribes

Background Recent studies have revealed a high rate of burnout among general surgery (GS) residents. Efforts to design and implement interventions to mitigate fatigue in surgical trainees are critical. Our aim was to assess the educational and wellness impact of outpatient scribe utilization at an academic GS residency program. Methods Electronic surveys were sent to 38 GS residents and 15 faculties who used outpatient scribes for at least 12 months. Questions were scored on a 5-point Likert scale with answers of “Strongly agree” or “Agree” representing affirmative responses. Results Thirty residents and 14 faculty completed the survey, resulting in an 83% overall response rate. Twenty-eight (93%) residents and 12 (86%) faculty believed that scribes decrease the daily workload of trainees. Twenty-seven (90%) residents felt that scribes allow them more time to focus on patient care and improve the quality of their surgical education. Ninety-three percent of residents (n = 28) and faculty (n = 13) believed that scribes enhance resident well-being. Twenty-four (80%) residents reported that scribes help improve adherence to duty hour restrictions. Twenty-five (83%) residents believed that utilizing scribes is an effective fatigue mitigation strategy for surgical training programs. Conclusion Our findings demonstrate that the implementation of an outpatient scribe program at an academic GS residency program may enhance resident education and wellness.
Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative reconstruction and filtered back projection

Objective: This study aimed to conduct objective and subjective comparisons of image quality among abdominal computed tomography (CT) reconstructions with deep learning reconstruction (DLR) algorithms, model-based iterative reconstruction (MBIR), and filtered back projection (FBP). Methods: Datasets from consecutive patients who underwent low-dose liver CT were retrospectively identified. Images were reconstructed using DLR, MBIR, and FBP. Mean image noise and contrast-to-noise ratio (CNR) were calculated, and noise, artifacts, sharpness, and overall image quality were subjectively assessed. Dunnett’s test was used for statistical comparisons. Results: Ninety patients (67 ± 12.7 years; 63 males; mean body mass index [BMI], 25.5 kg/m2) were included. The mean noise in the abdominal aorta and hepatic parenchyma of DLR was lower than that in FBP and MBIR (p < .001). For FBP and MBIR, image noise was significantly higher for obese patients than for those with normal BMI. The CNR for the abdominal aorta and hepatic parenchyma was higher for DLR than for FBP and MBIR (p < .001). MBIR images were subjectively rated as superior to FBP images in terms of noise, artifacts, sharpness, and overall quality (p < .001). DLR images were rated as superior to MBIR images in terms of noise (p < .001) and overall quality (p = .03). Conclusions: Based on objective and subjective comparisons, the image quality of DLR was found to be superior to that of MBIR and FBP on low-dose abdominal CT. DLR was the only method for which image noise was not higher for obese patients than for those with a normal BMI. Advances in knowledge: This study provides previously unavailable information on the properties of DLR systems and their clinical utility.
Low Rate of Peri-implant Osteolysis in Trabecular Metal Total Ankle Replacement on Short- to Midterm Follow-up

Background: Peri-implant osteolysis is one of the major complications related to total ankle replacement. The aim of this study was to investigate the short- to midterm incidence of peri-implant osteolysis using computed tomography (CT) as imaging method for the Trabecular Metal Total Ankle (TMTA) implant representing a novel total ankle replacement (TAR) implant design regarding material and surgical technique. Methods: In total, 104 consecutive patients who had a primary TMTA replacement between March 2013 and October 2017 were included in the study. The radiographic evaluation included weightbearing anteroposterior and lateral views at baseline and after 3, 6, and every 12 months postoperatively. A helical CT was undertaken preoperatively and of the 80 patients available to follow up at least 12 months postoperatively, with average time interval between the TAR operation and the latest CT of 39 (range, 12-85) months. Results: Eight of 80 patients had altogether 11 osteolytic lesions around the components on CT images. Seven lesions were found in tibia, 3 in talus, and 1 in distal fibula. Four of the tibial lesions were situated in the medial malleolus and were not in contact with the prosthesis component. The sizes of the osteolytic lesions ranged between 7 and 20 mm, and the average volume of the lesions was 689 mm3. Conclusion: We conclude that the risk of peri-implant osteolysis with the TMTA implant is minimal in short to midterm. The anatomic configuration, unique material, and surgical technique may all contribute to the TMTA implant having a low rate of peri-implant osteolysis. Level of Evidence: Level IV, case series.
Intestinal dysfunction in chronic disease

Purpose of review This review will discuss recent studies showing that patients with chronic wasting diseases suffer from a variety of small intestinal impairments which might negatively impact the colonic microbiota and overall well-being. New insights will be addressed as well as novel approaches to assess intestinal function. Recent findings Small intestinal dysfunction can enhance the amount and alter the composition of undigested food reaching the colon. As a result of reduced protein digestion and absorption, a large amount of undigested protein might reach the colon promoting the presence of pathogenic colonic bacteria and a switch from bacterial fiber fermentation to protein fermentation. While microbial metabolites of fiber fermentation, such as short-chain fatty acids (SCFA), are mainly considered beneficial for overall health, metabolites of protein fermentation, i.e. ammonia, branched SCFAs, hydrogen sulfide, polyamines, phenols, and indoles, can exert beneficial or deleterious effects on overall health. Substantial advances have been made in the assessment of small intestinal dysfunction in chronic diseases, but studies investigating the connection to colonic microbial metabolism are needed. A promising new stable isotope approach can enable the measurement of metabolite production by the colonic microbiota. Summary Several studies have been conducted to assess intestinal function in chronic diseases. Impairments in intestinal barrier function, sugar absorption, protein digestion, and absorption, as well as small intestinal bacterial overgrowth were observed and possibly might negatively impact colonic bacterial metabolism. We suggest that improving these perturbations will improve overall patient health.
Adaptation of the Steen Happiness Index (SHI) to Brazil: A Comparison of the Psychometric Properties of the SHI and the Subjective Happiness Scale

This study examined the psychometric properties of the Steen Happiness Index (SHI)—a measure of authentic happiness designed for intervention research—in a sample of Brazilian security workers. The SHI has yet to be used in a Brazilian sample and has the potential to assess both eudaimonic and hedonic happiness in Brazil. The psychometric properties of the SHI were also compared with those of the Subjective Happiness Scale (SHS), a widely used happiness measure, using classical test theory and item response theory. Military police officers, civilian police officers, and military firefighters (N = 435) completed the SHI, SHS, and measures of well-being, optimism, and psychopathological symptoms. Exploratory factor analysis provided support for a one-factor SHI—rather than the three-factor structure found in previous research. The unidimensional SHI also better discriminated between low, medium, and high levels of happiness, and did not demonstrate a ceiling effect when compared with the SHS. Advantages and disadvantages of both scales are discussed.
Comparative study of bioinformatic tools for the identification of chimeric RNAs from RNA Sequencing

ABSTRACT Chimeric RNAs are gaining more and more attention as they have broad implications in both cancer and normal physiology. To date, over 40 chimeric RNA prediction methods have been developed to facilitate their identification from RNA sequencing data. However, a limited number of studies have been conducted to compare the performance of these tools; additionally, previous studies have become outdated as more software tools have been developed within the last three years. In this study, we benchmarked 16 chimeric RNA prediction software, including seven top performers in previous benchmarking studies, and nine that were recently developed. We used two simulated and two real RNA-Seq datasets, compared the 16 tools for their sensitivity, positive prediction value (PPV), F-measure, and also documented the computational requirements (time and memory). We noticed that none of the tools are inclusive, and their performance varies depending on the dataset and objects. To increase the detection of true positive events, we also evaluated the pair-wise combination of these methods to suggest the best combination for sensitivity and F-measure. In addition, we compared the performance of the tools for the identification of three classes (read-through, inter-chromosomal and intra-others) of chimeric RNAs. Finally, we performed TOPSIS analyses and ranked the weighted performance of the 16 tools.
Improving Outpatient Infusion Clinic Wait Times at a Comprehensive Cancer Center

PURPOSE: Many factors contribute to long wait times for patients on the day of their chemotherapy infusion appointments. Longer wait time leads to nonoptimal care, increased costs, and decreased patient satisfaction. We conducted a quality improvement project to reduce the infusion wait times at a Comprehensive Cancer Center. METHODS: A multidisciplinary working group of physicians, infusion center nurses, pharmacists, information technology analysts, the Chief Medical Officer, and patient advocates formed a working group. Wait times were analyzed, and the contributing factors to long wait time were identified. Plan-Do-Study-Act cycles were implemented and included labeling patients ready to treat earlier, loading premedications into the medication dispensing system, increasing the number of pharmacy staff, and improving communication using a secure messaging system. The outcome measure was time from patient appointment to initiation of first drug at the infusion center. The secondary outcome measure was patient wait time satisfaction on the basis of Press Ganey score. RESULTS: Postintervention, the mean time from appointment to initiation of first drug decreased 17.6 minutes (P < .001; 95% CI, 16.3 to 18.9), from 58.1 minutes to 40.5 minutes (43.5% decrease). Patient wait time satisfaction score increased 8.9 points (P < .001; 95% CI, 6.0 to 11.82), from 76.2 to 85.1 (11.7% increase). CONCLUSION: Exploring real-time data and using a classic quality improvement methodology allowed a Comprehensive Cancer Center to identify deficiencies and prevent delays in chemotherapy initiation. This significantly improved patient wait time and patient satisfaction.
Racial disparity in excess mortality in Brazil during COVID-19 times

Abstract We evaluated the impact of the COVID-19 pandemic on excess mortality by race/skin colour in Brazil, between epidemiological weeks 12 and 50 of 2020. We compared the 2020 point estimate and the expected point estimate applying 2019 mortality rates to the 2020 population. There was an excess of 187 002 deaths (+20.2%) compared to the expected. Excess mortality was 26.3% (23.3–29.3%) among blacks/browns compared to 15.1% (14.1–16.1%) among whites (58.9% of excess among black/browns). Age-standardized rates increased from 377 to 419/100 000 among blacks/browns compared to 328 to 398/100 000 in whites, resulting in 9% relative risk. Excess mortality in Brazil depicts a considerable gap, with increased mortality in all age groups in the black/brown population.
Improved normalization of lesioned brains via cohort‐specific templates

In MRI studies, spatial normalization is required to infer results at the group level. In the presence of a brain lesion, such as in stroke patients, the normalization process can be affected by tissue loss, spatial deformations, signal intensity changes, and other stroke sequelae that introduce confounds into the group analysis results. Previously, most neuroimaging studies with lesioned brains have used normalization methods optimized for intact brains, raising potential concerns about the accuracy of the resulting transformations and, in turn, their reported group level results. In this study, we demonstrate the benefits of creating an intermediate, cohort‐specific template in conjunction with diffeomorphism‐based methods to normalize structural MRI images in stroke patients. We show that including this cohort‐specific template improves accuracy compared to standard methods for normalizing lesioned brains. Critically, this method reduces overall differences in normalization accuracy between stroke patients and healthy controls, and may improve the localization and connectivity of BOLD signal in functional neuroimaging data.
Use of Physiologically Based Pharmacokinetic Modeling for Predicting Drug–Food Interactions: Recommendations for Improving Predictive Performance of Low Confidence Food Effect Models

Food can alter drug absorption and impact safety and efficacy. Besides conducting clinical studies, in vitro approaches such as biorelevant solubility and dissolution testing and in vivo dog studies are typical approaches to estimate a drug’s food effect. The use of physiologically based pharmacokinetic models has gained importance and is nowadays a standard tool for food effect predictions at preclinical and clinical stages in the pharmaceutical industry. This manuscript is part of a broader publication from the IQ Consortium’s food effect physiologically based pharmacokinetic model (PBPK) modeling working group and complements previous publications by focusing on cases where the food effect was predicted with low confidence. Pazopanib-HCl, trospium-Cl, and ziprasidone-HCl served as model compounds to provide insights into why several food effect predictions failed in the first instance. Furthermore, the manuscript depicts approaches whereby PBPK-based food effect predictions may be improved. These improvements should focus on the PBPK model functionality, especially better reflecting fasted- and fed-state gastric solubility, gastric re-acidification, and complex mechanisms related to gastric emptying of drugs. For improvement of in vitro methodologies, the focus should be on the development of more predictive solubility, supersaturation, and precipitation assays. With regards to the general PBPK modeling methodology, modelers should account for the full solubility profile when modeling ionizable compounds, including common ion effects, and apply a straightforward strategy to account for drug precipitation.
Comparison of coronary flow reserve feasibility in different stress echocardiography protocols: dobutamine, dipyridamole, exercise and rapid pacing.

INTRODUCTION Coronary Flow Velocity Reserve (CFVR) assessment may improve diagnostic and prognostic value of stress echocardiography (SE). OBJECTIVES To compare the feasibility of CFVR assessment in the left anterior descending (LAD) artery in four types of SE: dobutamine (DOB), dipyridamole (DIP), rapid pacing (PAC) and bicycle exercise (EXE). PATIENTS AND METHODS We subjected 369 patients, mean (SD) age: 67 (11) to SE with DOB (n = 230), DIP (n = 73), PAC (n = 22) or EXE (n = 44). CFVR was measured as the ratio of peak diastolic coronary flow velocity (CFV) during exercise, pharmacological stress or pacing and peak diastolic CFV at rest in distal or mid LAD. RESULTS The feasibility was excellent during PAC (100%), DOB (95%) and DIP (95%) and lower during EXE (73%, P < 0.01 vs other groups). In multivariable analysis the EXE protocol was a predictor of LAD flow loss during SE, with OR = 7.89 (95% CI 2.17 - 31.33), P = 0.002. CFVR was lower with PAC 1.7 (1.4 - 2.0) as compared to DOB 2.1 (1.7 - 2.5), DIP 2.1 (1.8 - 2.5) and EXE 2.0 (1.7 - 2.3), P < 0.05 for all. CONCLUSIONS CFVR in LAD can be obtained during all forms of SE, but the feasibility is significantly higher with PAC and pharmacological tests as compared to EXE, which was identified in our study as the independent predictor of the loss of LAD flow recording at the peak of stress test.
Psychiatric Comorbidity Associated with Eating Disorders in 9- to 10-year-old Children

Early emergence of eating disorders (EDs) is a risk factor for developmental trajectories marked by excess morbidity and early mortality. 1 While psychiatric morbidity of adult EDs is well-characterized, 2 little is known on psychiatric comorbidity of EDs in childhood. Prior data show that up to half of the children with EDs meet the criteria for a comorbid psychiatric disorder, particularly mood and anxiety disorders 3-6 However, studies typically include children and adolescents, combine mood and anxiety disorders, focus less on externa-lizing disorders, and/or do not examine both current and past comorbidity. Further study of psychiatric comorbidity in childhood has the potential to provide new insights regarding factors contributing to ED onset and maintenance. The pur-pose of the current report was to characterize the past and current psychiatric comorbidities across childhood EDs using nationally representative data.
Female Fertility and the Nutritional Approach: The Most Essential Aspects

ABSTRACT Infertility is an increasing problem that affects couples attempting pregnancy. A growing body of evidence points to a link between diet and female fertility. In fact, data show that a diet high in trans fats, refined carbohydrates, and added sugars can negatively affect fertility. Conversely, a diet based on the Mediterranean dietary patterns, i.e., rich in dietary fiber, omega-3 (ɷ-3) fatty acids, plant-based protein, and vitamins and minerals, has a positive impact on female fertility. An unhealthy diet can disrupt microbiota composition, and it is worth investigating whether the composition of the gut microbiota correlates with the frequency of infertility. There is a lack of evidence to exclude gluten from the diet of every woman trying to become pregnant in the absence of celiac disease. Furthermore, there are no data concerning adverse effects of alcohol on female fertility, and caffeine consumption in the recommended amounts also does not seem to affect fertility. On the other hand, phytoestrogens presumably have a positive influence on female fertility. Nevertheless, there are many unanswered questions with regard to supplementation in order to enhance fertility. It has been established that women of childbearing age should supplement folic acid. Moreover, most people experience vitamin D and iodine deficiency; thus, it is vital to control their blood concentrations and consider supplementation if necessary. Therefore, since diet and lifestyle seem to be significant factors influencing fertility, it is valid to expand knowledge in this area.
Improving reference standards for validation of AI-based radiography

Objective: Demonstrate the importance of combining multiple readers' opinions, in a context-aware manner, when establishing the reference standard for validation of artificial intelligence (AI) applications for, e.g. chest radiographs. By comparing individual readers, majority vote of a panel, and panel-based discussion, we identify methods which maximize interobserver agreement and label reproducibility. Methods: 1100 frontal chest radiographs were evaluated for 6 findings: airspace opacity, cardiomegaly, pulmonary edema, fracture, nodules, and pneumothorax. Each image was reviewed by six radiologists, first individually and then via asynchronous adjudication (web-based discussion) in two panels of three readers to resolve disagreements within each panel. We quantified the reproducibility of each method by measuring interreader agreement. Results: Panel-based majority vote improved agreement relative to individual readers for all findings. Most disagreements were resolved with two rounds of adjudication, which further improved reproducibility for some findings, particularly reducing misses. Improvements varied across finding categories, with adjudication improving agreement for cardiomegaly, fractures, and pneumothorax. Conclusion: The likelihood of interreader agreement, even within panels of US board-certified radiologists, must be considered before reads can be used as a reference standard for validation of proposed AI tools. Agreement and, by extension, reproducibility can be improved by applying majority vote, maximum sensitivity, or asynchronous adjudication for different findings, which supports the development of higher quality clinical research. Advances in knowledge: A panel of three experts is a common technique for establishing reference standards when ground truth is not available for use in AI validation. The manner in which differing opinions are resolved is shown to be important, and has not been previously explored.