Yoxas/statistical_literacy huggingface dataset:
The balance between benefits and risks of discordant outcomes makes the Genome-Wide Non-Invasive Prenatal Test (GW-NIPT) controversial. This study aims to evaluate performance and clinical utility in a wide cohort of unselected clinical cases from a single center when a standardized protocol is applied and integrated with a secondary algorithm for data interpretation. In 2 years, over 70,000 pregnant patients underwent GW-NIPT for fetal common trisomies, sex chromosome aneuploidies, rare autosomal aneuploidies, segmental abnormalities (CNVs ≥ 7 Mb) and microdeletions (CNVs < 7 Mb). All samples were uniformly processed with Veriseq NIPT Solution v2 and analyzed using all data metrics along with a home-made algorithm for sequencing data analysis. Results were retrospectively reviewed for clinical outcomes. Among 71,883 eligible cases including twin pregnancies, 1011 (1.4%) received a positive result and 781 were confirmed by invasive prenatal diagnosis. Clinical sensitivity ranged from 99.65% for common trisomy (T21, T18, T13) to 83.33% for microdeletions, while specificity remained high (99.98%) for each class of fetal abnormalities detected. Integrating a standardized protocol with an internal algorithm allowed discordant results to be reduced, yielding high accuracy. Observed reliability in detecting genome-wide chromosomal conditions reinforced the expanded NIPT utility in clinical practice.
The Basic Public Health Service (BPHS), a recently announced free healthcare program, aims to combat the most prevalent Noncommunicable Disease-"Hypertension" (HTN)-and its risk factors on a nationwide scale. In China, there is a rife that HTN less impacts women during their lifetime. We, therefore, aimed to evaluate the sex disparity in hypertension patients with comorbidities among south-west Chinese and the contribution of BPHS to address that concern. We have opted for a multistage stratified random sampling method to enroll hypertensive patients of 35 years and older, divided them into BPHS and non-BPHS groups. We assessed the sex disparity in HTN patients with four major comorbidities- Dyslipidemia, Diabetes Mellitus (DM), Cardiovascular Disease (CVD), and Chronic Kidney Disease (CKD), and descriptive data were compiled. Odds ratios from logistic regression models estimated the effectiveness of BPHS in the management of HTN with comorbidities. Among 1521 hypertensive patients,1011(66.5%) were managed in the BPHS group. The proportion of patients who had at least one comorbidity was 70.7% (95% confidence interval [CI]: 66.3-76.8%), patients aged 65 years and older were more likely to have coexisting comorbidities. Participants who received the BPHS showed significant blood pressure (BP) control with two comorbidities (odds ratio [OR] = 2.414, 95% CI: 1.276-4.570), three or more (OR = 5.500, 95%CI: 1.174-25.756). Patients with dyslipidemia and DM also benefited from BPHS in controlling BP (OR = 2.169, 95% CI: 1.430-3.289) and (OR = 2.785, 95%CI: 1.242-6.246), respectively. In certain high-income urban survey centers, there was sex differences in the HTN management provided by BPHS, with men having better BP control rates than women. Perhaps this is the first study in China to succinctly show the effectiveness and sex disparity regarding "management of hypertensive comorbidities". This supports that the BPHS program plays a pivotal role in controlling BP, therefore should recommend the national healthcare system to give women a foremost priority in BPHS, especially to those from low-socioeconomic and low-scientific literacy regions.
The Bayesian Network Webserver (BNW, http://compbio.uthsc.edu/BNW ) is an integrated platform for Bayesian network modeling of biological datasets. It provides a web-based network modeling environment that seamlessly integrates advanced algorithms for probabilistic causal modeling and reasoning with Bayesian networks. BNW is designed for precise modeling of relatively small networks that contain less than 20 nodes. The structure learning algorithms used by BNW guarantee the discovery of the best (most probable) network structure given the data. To facilitate network modeling across multiple biological levels, BNW provides a very flexible interface that allows users to assign network nodes into different tiers and define the relationships between and within the tiers. This function is particularly useful for modeling systems genetics datasets that often consist of multiscalar heterogeneous genotype-to-phenotype data. BNW enables users to, within seconds or minutes, go from having a simply formatted input file containing a dataset to using a network model to make predictions about the interactions between variables and the potential effects of experimental interventions. In this chapter, we will introduce the functions of BNW and show how to model systems genetics datasets with BNW.
The Be Well Home Health Navigator Program is a prospective, randomized controlled trial (RCT) implemented to compare a community health navigator program to usual care program to reduce contaminants in drinking water. This 4-year two-armed RCT will involve well owners in Oregon that have private drinking water wells that contain arsenic, nitrate, or lead above maximum contaminant levels. The intervention leverages the trusted relationship between Cooperative Extension Service (CES) Community Educators and rural well owners to educate, assist and motivate to make decisions and set actionable steps to mitigate water contamination. In this study, CES will serve as home health navigators to deliver: 1) individualized feedback, 2) positive reinforcement, 3) teach-back moments, 4) decision-making skills, 5) navigation to resources, 6) self-management, and 7) repeated contact for shaping and maintenance of behaviors. Usual care includes information only with no access to individual meetings with CES. Pre-specified primary outcomes include 1) adoption of treatment to reduce exposure to arsenic, nitrate, or lead in water which may include switching to bottled water and 2) engagement with well stewardship behaviors assessed at baseline, and post-6 and 12 months follow-up. Water quality will be measured at baseline and 12-month through household water tests. Secondary outcomes include increased health literacy scores and risk perception assessed at baseline and 6-month surveys. The results will demonstrate the efficacy of a domestic well water safety program to disseminate to other CES organizations. NCT05395663.
The Benchmarking in Academic Physical Therapy study uses the Physical Therapist-Graduation Questionnaire (PT-GQ) survey to develop comprehensive performance benchmarks for physical therapist education. These benchmarks facilitate interprofessional comparisons and have application to accreditation self-study reporting. The purpose of this study is to report updated benchmarks from enrollment Wave 2 of the study, with an emphasis on curricular areas that align with accreditation standards. Seventy doctor of physical therapy (DPT) programs (26.5% national sample) administered the survey to graduates during 2020-2021. Where possible, respondent data were contextualized by statistical comparison with published medical student data (Welch t test, Hedges g). There were 1894 respondents who participated in the study (response rate: 63.9%). The average survey duration was 32.9 minutes. White-only, non-Hispanic/Latino/a/x individuals (78.8%) exceeded the 2020 US Census prevalence (60.1%), and only one-half of respondents perceived a benefit to their training from the diversity present in their programs. Over 94% of respondents indicated that their curricula were characterized by "problem solving/critical thinking" and "clinical reasoning," but nearly one-half indicated "busywork" was prevalent. High curricular satisfaction ratings clustered in content areas relating to profession-specific technical skills and low ratings clustered in foundational sciences. DPT respondents reported significantly lower tolerance for ambiguity, significantly more exhaustion, and significantly less disengagement than medical students. Respondents endorsed higher levels of "adaptive" perfectionism (striving for high performance) than "maladaptive" perfectionism (concern over negative evaluations). Respondents with loans (27.7%) had debt exceeding $150,000, the benchmark above which the DPT degree loses economic power. PT-GQ benchmarks revealed strengths (eg, curricula emphasizing problem solving/critical thinking and clinical reasoning) and challenges (eg, low diversity, problematic student debt) in physical therapist education. Programs can use benchmarking for quality-improvement efforts and as a data source for accreditation self-study reports. The ongoing study will refine national benchmarks and pilot items to address new research questions.
The benefit of adding social determinants of health (SDOH) when estimating atherosclerotic cardiovascular disease (ASCVD) risk is unclear. To examine the association of SDOH at both individual and area levels with ASCVD risks, and to assess if adding individual- and area-level SDOH to the pooled cohort equations (PCEs) or the Predicting Risk of CVD Events (PREVENT) equations improves the accuracy of risk estimates. This cohort study included participants data from 4 large US cohort studies. Eligible participants were aged 40 to 79 years without a history of ASCVD. Baseline data were collected from 1995 to 2007; median (IQR) follow-up was 13.0 (9.3-15.0) years. Data were analyzed from September 2023 to February 2024. Individual- and area-level education, income, and employment status. ASCVD was defined as the composite outcome of nonfatal myocardial infarction, death from coronary heart disease, and fatal or nonfatal stroke. A total of 26 316 participants were included (mean [SD] age, 61.0 [9.1] years; 15 494 women [58.9%]; 11 365 Black [43.2%], 703 Chinese American [2.7%], 1278 Hispanic [4.9%], and 12 970 White [49.3%]); 11 764 individuals (44.7%) had at least 1 adverse individual-level SDOH and 10 908 (41.5%) had at least 1 adverse area-level SDOH. A total of 2673 ASCVD events occurred during follow-up. SDOH were associated with increased risk of ASCVD at both the individual and area levels, including for low education (individual: hazard ratio [HR], 1.39 [95% CI, 1.25-1.55]; area: HR, 1.31 [95% CI, 1.20-1.42]), low income (individual: 1.35 [95% CI, 1.25-1.47]; area: HR, 1.28 [95% CI, 1.17-1.40]), and unemployment (individual: HR, 1.61 [95% CI, 1.24-2.10]; area: HR, 1.25 [95% CI, 1.14-1.37]). Adding area-level SDOH alone to the PCEs did not change model discrimination but modestly improved calibration. Furthermore, adding both individual- and area-level SDOH to the PCEs led to a modest improvement in both discrimination and calibration in non-Hispanic Black individuals (change in C index, 0.0051 [95% CI, 0.0011 to 0.0126]; change in scaled integrated Brier score [IBS], 0.396% [95% CI, 0.221% to 0.802%]), and improvement in calibration in White individuals (change in scaled IBS, 0.274% [95% CI, 0.095% to 0.665%]). Adding individual-level SDOH to the PREVENT plus area-level social deprivation index (SDI) equations did not improve discrimination but modestly improved calibration in White participants (change in scaled IBS, 0.182% [95% CI, 0.040% to 0.496%]), Black participants (0.187% [95% CI, 0.039% to 0.501%]), and women (0.289% [95% CI, 0.115% to 0.574%]). In this cohort study, both individual- and area-level SDOH were associated with ASCVD risk; adding both individual- and area-level SDOH to the PCEs modestly improved discrimination and calibration for estimating ASCVD risk for Black individuals, and adding individual-level SDOH to PREVENT plus SDI also modestly improved calibration. These findings suggest that both individual- and area-level SDOH may be considered in future development of ASCVD risk assessment tools, particularly among Black individuals.
The benefits of intraoperative recording are well published in the literature; however, few studies have identified current practices, barriers, and subsequent solutions. The objective of this study was to better understand surgeon's current practices and perceptions of video management and gather blinded feedback on a new surgical video recording product with the potential to address these barriers effectively. A structured questionnaire was used to survey 230 surgeons (general, gynecologic, and urologic) and hospital administrators across the US and Europe regarding their current video recording practices. The same questionnaire was used to evaluate a blinded concept describing a new intraoperative recording solution. 54% of respondents reported recording eligible cases, with the majority recording less than 35% of their total eligible caseload. Reasons for not recording included finding no value in recording simple procedures, forgetting to record, lack of access to equipment, legal concerns, labor intensity, and difficulty accessing videos. Among non-recording surgeons, 65% reported considering recording cases to assess surgical techniques, document practice, submit to conferences, share with colleagues, and aid in training. 35% of surgeons rejected recording due to medico-legal concerns, lack of perceived benefit, concerns about secure storage, and price. Regarding the concept of a recording solution, 74% of all respondents were very likely or quite likely to recommend the product for adoption at their facility. Appealing features to current recorders included the product's ease of use, use of AI to maintain patient and staff privacy, lack of manual downloads, availability of full-length procedural videos, and ease of access and storage. Non-recorders found the immediate access to videos and maintenance of patient/staff privacy appealing. Tools that address barriers to recording, accessing, and managing surgical case videos are critical for improving surgical skills. Touch Surgery Enterprise is a valuable tool that can help overcome these barriers.
The benefits of routine screening for intimate partner violence (IPV) among pregnant women include early identification, prompt management, referral of IPV victims, and creating awareness about IPV. Despite these benefits, the practice of routine screening of IPV remains limited in midwifery settings in low-income countries. The purpose of this study is to identify and describe midwives' perspectives of the barriers in conducting routine screening of IPV for pregnant women in northern Nigeria. A case study qualitative descriptive design was used to collect data from ten midwives in the antenatal clinic of a tertiary hospital. Non-participant observation and individual face-to-face semi-structured interviews were used as data collection methods. Thematic data analysis was carried out using Yin's five stage analytical cycle. Three themes, with related subthemes, emerged from the data: (i) The theme of "Internal" barriers to IPV screening has four subthemes; midwives' personal discomfort in asking IPV- related questions, perceived mistrust of midwives by pregnant women, midwives' own perceptions of IPV as a personal matter, and midwives' lack of skills to screen for IPV. (ii) "External" barriers to IPV screening subsumes three subthemes: antenatal card related barriers, workload related barriers, and protocol barriers. (iii) "Structural" barriers to IPV screening have two subthemes: lack of space for privacy and lack of resources for managing pregnant women who have experienced IPV. Knowing the barriers to midwives' screening practices is important because it may help in the development of contextually relevant and acceptable screening guidelines for midwives in Nigeria. Education and training of midwives will eliminate the internal barriers while the external barriers will need the intervention of hospital authorities and government to eliminate their effects on screening.
The best ways to communicate test results in primary care to achieve patient satisfaction and assist patients to incorporate results into their personal health decision making are unknown. A study was conducted to determine the factors that patients believe are important in achieving those goals. Semistructured interviews were conducted with a convenience sample of 12 adults, at least half with a chronic disease requiring regular testing, who shared experiences about receiving test results from physicians' offices and how they used them in their health decision making. In addition, "think aloud" interviewing techniques were used to assess participants' satisfaction and stated understanding with six different formats for receiving a hypothetical test result (a mildly elevated lipid profile). The interviews were analyzed using the editing technique to determine important factors in test results notification. Three themes were found to be important in satisfaction with and stated understanding and use of test results: (1) the information shared (test result, clinician interpretation and guidance), (2) significance of the results (testing purpose, abnormal or normal result) and (3) personal preferences for communication (timeliness, interpersonal connection, and hard copy). Participants' stated understanding was highest, among several potential formats, for actual values with desired/normal values, a low-literacy description of the test's purpose, and a simple graph. A results notification algorithm includes (1) communication elements (the purpose of the test, the actual results with desired values, clinician guidance, and a graphical representation) and (2) appropriate choice of notification technique (phone/visit for diagnostic tests and all significantly abnormal results and mail/e-mail/Web for all others).
The biotechnology industry is a strategic emerging industry in our country, holding a crucial position in the national economy. The training of innovative high-quality professionals carries immense significance. As the cornerstone course in biotechnology, "Enzyme Engineering" directly impacts the students' caliber and industry development. This course aims to address pertinent issues present in the current curriculum delivery, such as inadequately optimized content, excessive dependency on textbooks, and reliance on monotonous teaching methods. By adjusting the course outline, updating the case material repository, and engaging students' enthusiasm, we developed a three-dimensional approach to instruct. This approach included a blend of online and offline components, interactive teaching through the flipped classroom methodology, heuristic teaching using problem-based learning (PBL) mode, and topic teaching via case studies. We also improved the assessment mechanism to stimulate students' enthusiasm for learning nurture their innovation capabilities. Our objective was to foster high-quality professionals with a robust foundation and practical expertise. Through teaching exploration and practice, we have witnessed significant improvement in both teaching efficacy and students' engineering practice and innovation abilities.
The blood oxygen level-dependent (BOLD) signal derived from functional neuroimaging is commonly used in brain network analysis and dementia diagnosis. Missing the BOLD signal may lead to bad performance and misinterpretation of findings when analyzing neurological disease. Few studies have focused on the restoration of brain functional time-series data. In this paper, a novel U-shaped convolutional transformer GAN (UCT-GAN) model is proposed to restore the missing brain functional time-series data. The proposed model leverages the power of generative adversarial networks (GANs) while incorporating a U-shaped architecture to effectively capture hierarchical features in the restoration process. Besides, the multi-level temporal-correlated attention and the convolutional sampling in the transformer-based generator are devised to capture the global and local temporal features for the missing time series and associate their long-range relationship with the other brain regions. Furthermore, by introducing multi-resolution consistency loss, the proposed model can promote the learning of diverse temporal patterns and maintain consistency across different temporal resolutions, thus effectively restoring complex brain functional dynamics. We theoretically tested our model on the public Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset, and our experiments demonstrate that the proposed model outperforms existing methods in terms of both quantitative metrics and qualitative assessments. The model's ability to preserve the underlying topological structure of the brain functional networks during restoration is a particularly notable achievement. Overall, the proposed model offers a promising solution for restoring brain functional time-series and contributes to the advancement of neuroscience research by providing enhanced tools for disease analysis and interpretation.
The brain volume loss also known as brain atrophy is increasingly observed among children in the course of performing neuroimaging using CT scan and MRI brains. While severe forms of brain volume loss are frequently associated with neurocognitive changes due to effects on thought processing speed, reasoning and memory of children that eventually alter their general personality, most clinicians embark themselves in managing the neurological manifestations of brain atrophy in childhood and less is known regarding the offending factors responsible for developing pre-senile brain atrophy. It was therefore the goal of this study to explore the factors that drive the occurrence of childhood brain volume under the guidance of brain CT scan quantitative evaluation. This study was a case-control study involving 168 subjects with brain atrophy who were compared with 168 age and gender matched control subjects with normal brains on CT scan under the age of 18 years. All the children with brain CT scan were subjected to an intense review of their birth and medical history including laboratory investigation reports. Results showed significant and influential risk factors for brain atrophy in varying trends among children including age between 14-17(OR = 1.1), male gender (OR = 1.9), birth outside facility (OR = 0.99), immaturity (OR = 1.04), malnutrition (OR = 0.97), head trauma (OR = 1.02), maternal alcoholism (OR = 1.0), antiepileptic drugs & convulsive disorders (OR = 1.0), radiation injury (OR = 1.06), space occupying lesions and ICP (OR = 1.01) and birth injury/asphyxia (OR = 1.02). Pathological reduction of brain volume in childhood exhibits a steady trend with the increase in pediatric age, with space occupying lesions & intracranial pressure being the most profound causes of brain atrophy.