Yoxas/statistical_literacy huggingface dataset:
In Patients suffering from post-COVID syndrome, in addition to physical limitations, cognitive limitations, fatigue, dyspnea as well as depression and anxiety disorders may also be present. Up to now (as of May 2022), approx. 514 million people worldwide have been infected with SARS-CoV-2, in Germany this affects approx. 25 million. In Germany, 2.5 million people could potentially be affected by post-COVID syndrome. Post-COVID is thus a highly relevant public health issue. So far, there is no specific causal therapy for the post-COVID syndrome, but with multimodal symptom-oriented rehabilitation, the course can be favourably influenced. However, there is no study yet that focuses on patients in different rehabilitation indications and compares the focal symptomatology and coping strategies as well as the patients' benefit per indication. As first objective, pulmonal, cardiac, neurological, cognitive or/and psychological functional impairments in rehabilitation patients after COVID-19 disease will be described. The second objective is the differentiated review of the specific rehabilitation measures, in the short term and in the longer term for the purpose of future prognoses and optimisation of therapeutic interventions. This prospective, non-randomised, controlled longitudinal study, plus multi-group comparisons will take place in seven rehabilitation clinics of different specialisations: cardiological rehab, pneumological rehab, neurological rehab, psychosomatic rehab. Within 12 months, 1000 cases across all participating centres will be included. Somatic and psychological testing will be conducted at three measurement points: Admission (t0), discharge (t1), 6-montas Catamnesis (t2). The patients receive the usual care according to the respective rehabilitation priorities, adapted to the special challenges of post-COVID symptoms. Patients of the post-COVID outpatient clinic without rehabilitation will be used as a control group. This study will precisely assess the extent to which subclinical neurological or/and psychological impairments are present in post-COVID-19 rehabilitation and the results will help, developing, providing and evaluating appropriate treatment concepts. This may also have relevant implications for the improvement of physical ability and quality of life in post-COVID-19 patients and increase the probability of return to work. Trial registration Z-2022-1749-8, registered 03. February 2022, https://studienanmeldung.zks-regensburg.de.
In patients with chronic obstructive pulmonary disease (COPD) and acute respiratory failure, approximately 10% of them are considered to be at high risk for prolonged mechanical ventilation (PMV, > 21 days). PMV have been identified as independent predictors of unfavorable outcomes. Our previous study revealed that patients aged 70 years older and COPD severity were at a significantly higher risk for PMV. We aimed to analyze the impact of comorbidities and their associated risks in patients with COPD who require PMV. The data used in this study was collected from Kaohsiung Medical University Hospital Research Database. The COPD subjects were the patients first diagnosed COPD (index date) between January 1, 2012 and December 31, 2020. The exclusion criteria were the patients with age less than 40 years, PMV before the index date or incomplete records. COPD and non-COPD patients, matched controls were used by applying the propensity score matching method. There are 3,744 eligible patients with COPD in the study group. The study group had a rate of 1.6% (60 cases) patients with PMV. The adjusted HR of PMV was 2.21 (95% CI 1.44-3.40; P < 0.001) in the COPD patients than in non-COPD patients. Increased risks of PMV were found significantly for patients with diabetes mellitus (aHR 4.66; P < 0.001), hypertension (aHR 3.20; P = 0.004), dyslipidemia (aHR 3.02; P = 0.015), congestive heart failure (aHR 6.44; P < 0.001), coronary artery disease (aHR 3.11; P = 0.014), stroke (aHR 6.37; P < 0.001), chronic kidney disease (aHR 5.81 P < 0.001) and Dementia (aHR 5.78; P < 0.001). Age, gender, and comorbidities were identified as significantly higher risk factors for PMV occurrence in the COPD patients compared to the non-COPD patients. Beyond age, comorbidities also play a crucial role in PMV in COPD.
In patients with COVID-19, broad panels of immune checkpoint molecules (ICPMs) and the purinergic signaling have not been studied in parallel. We aimed to perform in-depth immunophenotyping of major cell subsets present in human peripheral blood of COVID-19 patients and controls using PD1, TIM3, LAG3, TIGIT, and CD200R, as well as CD39, as markers for the purinergic signaling pathway. We studied 76 COVID-19 patients and 12 healthy controls using peripheral blood mononuclear cells on flow cytometry. Univariable and multivariable statistics were performed. All ICPMs studied were significantly overexpressed on different cell subsets of COVID-19 patients when compared with healthy controls. Elevated lactate dehydrogenase; C-reactive protein; age; and high expression of CD45+, CD39+CD45+, TIM3+CD39+CD4+CD45+, and TIM3+CD39+CD8+CD3+CD4+ cells were significantly associated with severe COVID-19. On multivariable analysis, however, only high expression of CD39+CD45+ (OR 51.4, 95% CI 1.5 to 1763) and TIM3+CD39+CD4+CD3+CD45+ (OR 22.6, 95% CI 1.8 to 277) cells was an independent predictor for severe COVID-19. In conclusion, numerous ICPMs are overexpressed in COVID-19 patients when compared with healthy controls, suggesting a pathophysiological role of these molecules in SARS-CoV-2 infection. However, only TIM3 in co-expression with CD39 remained as a significant independent prognostic ICPM on multivariable analysis. The flow cytometric evaluation of TIM3+CD39+CD4+CD3+CD45+, as well as CD39+CD45+, is a powerful tool for the prognostication of COVID-19 patients on hospital admission.
In patients with gout, suboptimal management refers to a lack of disease knowledge, low treatment compliance, and inadequate control of serum uric acid (SUA) levels. Several studies have shown that continuous care is recommended for disease management in patients with gout. However, in China, the continuous care model commonly used for patients with gout requires significant labor and time costs, and its efficiency and coverage remain low. Mobile health (mHealth) may be able to address these issues. This study aimed to explore the impact of mHealth-based continuous care on improving gout knowledge and treatment compliance and reducing SUA levels. This study was a single-center, single-blind, and parallel-group randomized controlled trial. Participants were recruited at the West China Hospital of Sichuan University in Chengdu, China, between February 2021 and July 2021 and were randomly assigned to the intervention and control groups. The intervention group received continuous care via an mHealth app, which includes modules for health records, 24 weeks of gout-related health education materials, and interactive support. The control group received routine continuous care, including face-to-face health education, paper-based health education materials consistent with the content for the intervention group, and telephone consultations initiated by the patient. Follow-up was conducted at 6 months. Participants' gout knowledge levels and treatment compliance were measured at baseline and the 12th and 24th weeks, and participants' SUA levels were measured at baseline and the 24th week. The intention-to-treat principle and a generalized estimating equation model were used to test the effect of the intervention. Overall, 258 potential participants underwent eligibility assessments, and 120 were recruited and randomized into the intervention (n=60, 50%) and control (n=60, 50%) groups. Of the 120 participants, 93 (77.5%) completed the 24-week study. The 2 groups had no significant differences in sociodemographic or clinical characteristics, and the baseline measurements were comparable (all P>.05). Compared with the control group, the intervention group exhibited a significant improvement in gout knowledge levels over time (β=0.617, 95% CI 0.104-1.129; P=.02 and β=1.300, 95% CI 0.669-1.931; P<.001 at the 12th and 24th weeks, respectively). There was no significant difference in treatment adherence between the 2 groups at the 12th week (β=1.667, 95% CI -3.283 to 6.617; P=.51), while a statistical difference was observed at the 24th week (β=6.287, 95% CI 1.357-11.216; P=.01). At the 24th week, SUA levels in both the intervention and control groups were below baseline, but there was no significant difference in SUA changes between the 2 groups (P=.43). Continuous care based on the mHealth app improved knowledge levels and treatment compliance among patients with gout. We suggest incorporating this intervention modality into standard continuous care for patients with gout.
In patients with the acute respiratory distress syndrome (ARDS), lung imaging is a fundamental tool in the study of the morphological and mechanistic features of the lungs. Chest computed tomography studies led to major advances in the understanding of ARDS physiology. They allowed the in vivo study of the syndrome's lung features in relation with its impact on respiratory physiology and physiology, but also explored the lungs' response to mechanical ventilation, be it alveolar recruitment or ventilator-induced lung injuries. Coupled with positron emission tomography, morphological findings were put in relation with ventilation, perfusion or acute lung inflammation. Lung imaging has always been central in the care of patients with ARDS, with modern point-of-care tools such as electrical impedance tomography or lung ultrasounds guiding clinical reasoning beyond macro-respiratory mechanics. Finally, artificial intelligence and machine learning now assist imaging post-processing software, which allows real-time analysis of quantitative parameters that describe the syndrome's complexity. This narrative review aims to draw a didactic and comprehensive picture of how modern imaging techniques improved our understanding of the syndrome, and have the potential to help the clinician guide ventilatory treatment and refine patient prognostication.
In Patricia Benner's book, Educating Nurses: A Call for Radical Transformation, she recommends essential changes in policy, curriculum, and in the way nursing programs approach student learning. This study explored how two of Benner's key recommendations, (1) integrating the theoretical component and the clinical component and (2) moving education from an emphasis on critical thinking to an emphasis on clinical reasoning, could be achieved by integrating the use of high-fidelity patient simulation in a pediatric curriculum. Qualitative and quantitative data were collected from the group of traditional and nontraditional baccalaureate students (n=131). The quantitative data revealed learning objectives were met over 80% of the time in simulation exercises and the qualitative themes revealed a positive experience with the simulation exercises with a large proportion of students offering the sentiments that these scenarios become requirement prior to the start of clinical rotations.
In pharmacovigilance, disproportionality analyses based on individual case safety reports are widely used to detect safety signals. Unfortunately, publishing disproportionality analyses lacks specific guidelines, often leading to incomplete and ambiguous reporting, and carries the risk of incorrect conclusions when data are not placed in the correct context. The REporting of A Disproportionality analysis for drUg Safety signal detection using individual case safety reports in PharmacoVigilance (READUS-PV) statement was developed to address this issue by promoting transparent and comprehensive reporting of disproportionality studies. While the statement paper explains in greater detail the procedure followed to develop these guidelines, with this explanation paper we present the 14 items retained for READUS-PV guidelines, together with an in-depth explanation of their rationale and bullet points to illustrate their practical implementation. Our primary objective is to foster the adoption of the READUS-PV guidelines among authors, editors, peer reviewers, and readers of disproportionality analyses. Enhancing transparency, completeness, and accuracy of reporting, as well as proper interpretation of their results, READUS-PV guidelines will ultimately facilitate evidence-based decision making in pharmacovigilance.
In population neuroscience, samples are not often selected with equal or known probability from an underlying population of interest; in other words, samples are not often formally representative of a specified underlying population. This chapter provides an overview of an epidemiological approach to considering the implications of selective participation on the value of our results for population health. We discuss definitions of generalizability and transportability, given the growing recognition that generalizability and transportability are central for interpreting data that are aiming to be population-based. We provide evidence that differences in the prevalence of effect measure modifiers between a study sample and a target population will lead to a lack of generalizability and transportability. We provide an example of an association between a poly-genetic risk score and depression, showing how an internally valid association can differ based on the prevalence of effect measure modifiers. We show that when estimating associations, inferences from a study sample to a population can depend on clearly defining a target population. Given that representative sampling from explicitly defined target populations may not be feasible or realistic in many situations, especially given the sample sizes needed for statistical power for many exposures of interest (and especially when interactions are being tested), researchers should be well versed in tools available to enhance the interpretability of samples regarding target populations.
In Portugal, the government has accepted private management within public hospitals since 1996. The objectives of the state were to ensure more efficiency in resource management and maintain or increase the service quality provided to the users. Four public hospitals have been managed with a public-private partnership (PPP) approach. This study aimed to empirically analyse the degree of satisfaction of the Portuguese population regarding the service quality provided by PPP and Public Management Hospitals (PMH) within a structural equation model, and verify if people's literacy level, age, education, and income moderate their opinions. The study used 2077 valid questionnaire responses applied in the four regions served by the eight hospitals. The results show that the users of the PPP hospitals are more satisfied than those from PMH with statistical significance. Literacy level moderates the relationship between perceived quality and users' satisfaction, and education moderates the same relationship only in the context of PPP hospitals. More educated people with a high literacy level are more demanding, both regarding PPP and PMH hospitals. Nevertheless, the results are very beneficial to the PPP model; thus, improved decision-making regarding contract renewal might help policymakers consider the findings of this paper.
In professional dance, the injury rate is extremely high and dancers have a great chance to experience at least one injury during their careers. Since the #metoo campaign, many abuse cases showed up in the dance industry, resulting in media coverage. Results indicate that dancers had a significantly higher distribution of post-traumatic stress disorder (PTSD) compared to the broad population. In this study, we investigate pathological dissociation, quantify chronic musculoskeletal conditions and evaluate abusive experiences. Questionnaire-based dataset filled out online by Hungarian professional dancers (n = 168). The statistical analysis contains descriptive results, risk assessment, Kaplan Meier curve, and hazard ratios. Dancers scored in the pathological dissociation values, reported several cases of emotional and physical abuse, and were represented by elevated chronic musculoskeletal conditions. We found a statistically significant relationship between abusive experiences and musculoskeletal conditions, so as with dissociation. We conclude that emotional abuse might be one of the factors in a multifactorial model that plays a role in the pathomechanism of chronic pain, inflammation, and tendinopathy. It is important to raise awareness about the importance of emotional factors of pedagogy and the working atmosphere among professional dancers since it might have a role in higher injury rates.
In promoting genomic medicine, genomic literacy, which is the public's ability to acquire and utilize the knowledge and skills related to genetics and genomes, requires urgent improvement. This study determined how the three components of genomic literacy (genetic/genomic knowledge, health numeracy, and interactive and critical health literacy) are associated with risk and benefit perception for genetic testing and decision-making related to genetic testing. Using an online questionnaire, we surveyed genetic/genomic knowledge, health numeracy, interactive and critical health literacy, risk and benefit perception of genetic testing, and intention toward genetic testing of 857 Japanese citizens (aged 20-39). A vignette was created to measure the intention toward genetic testing, and respondents were asked about their willingness to undergo genetic testing and to share the results with their partners and children. The path analysis, which was done by creating a path diagram revealing the relationship of the three components with risk and benefit perception, revealed that genetic and genomic knowledge and interactive and critical health literacy affected the respondents' intention to undergo genetic testing via recognition of the benefits of such testing. Further, it was suggested that health numeracy affects benefit perception through risk perception toward genetic testing. However, the goodness of fit of this model for the intention of conveying positive results to partners and children was relatively low, thus indicating that the hypothetical model needs to be reexamined.
In quantum mechanics, the precision achieved in parameter estimation using a quantum state as a probe is determined by the measurement strategy employed. The quantum limit of precision is bounded by a value set by the state and its dynamics. Theoretical results have revealed that in interference measurements with two possible outcomes, this limit can be reached under ideal conditions of perfect visibility and zero losses. However, in practice, these conditions cannot be achieved, so precision never reaches the quantum limit. But how do experimental setups approach precision limits under realistic circumstances? In this Letter, we provide a model for precision limits in two-photon Hong-Ou-Mandel interferometry using coincidence statistics for nonperfect visibility and temporally unresolved measurements. We show that the scaling of precision with visibility depends on the effective area in time-frequency phase space occupied by the state used as a probe, and we find that an optimal scaling exists. We demonstrate our results experimentally for different states in a setup where the visibility can be controlled and reaches up to 99.5%. In the optimal scenario, a ratio of 0.97 is observed between the experimental precision and the quantum limit, establishing a new benchmark in the field.
In recent decades, China has experienced a rapid increase in the number of elderly individuals and life expectancy, as well as industrialization, which is associated with an increased prevalence of Parkinson's disease (PD). However, inconsistent results have recently been reported. Therefore, this study aimed to investigate the prevalence and distribution characteristics of PD among individuals aged 45 years and older. Using data from the China Health and Retirement Longitudinal Study (CHARLS), we attempted to estimate the prevalence of PD and its distribution characteristics among 19,034 individuals aged 45 years and older residing in 446 communities/villages within 27 provinces/autonomous regions/municipalities in mainland China. Cases were established based on a doctor's previous diagnosis. Crude and age-adjusted prevalence rates were calculated and stratified by age, sex, area of residence, education level, marital status, and geographic region. Logistic regression models were used to identify risk factors associated with PD. We identified 178 patients with PD among 19,034 residents aged 45 years and older. The crude prevalence was 0.94%, and the age-adjusted prevalence was 0.82% for individuals aged 45 years and older. The prevalence of PD increased with age (P < 0.001). No significant differences were found in terms of sex, area of residence, or education level. Stratified by geographic region, the prevalence of PD was greater in North and Northwest China and lower in southern China (p < 0.001). Multiple regression analyses showed that age was a significant risk factor for PD. The prevalence of PD increased with age in the Chinese population.
In recent decades, especially in higher education, blended learning has become the most commonly used active teaching strategy. Because of the COVID-19 pandemic, blended learning, which combines face-to-face and online components, is believed to overcome the shortcomings of conventional teaching methods, particularly in face-to-face interactions. Based on PRISMA guidelines, this study follows the protocol for a systematic review of blended learning applications in mathematics teacher education. This systematic review study aims to comprehend the potential of blended learning for various mathematical topics, the common blended learning models, and the benefits and challenges this teaching approach presents for educational stakeholders. Searches will be performed in various electronic databases, including Scopus, ScienceDirect, Taylor & Francis Online, Mendeley, Google Scholar, and ERIC. Selected studies that satisfy the inclusion criteria will document the use of various blended learning models in a range of mathematical topics as well as the advantages and disadvantages of this method of instruction. The data extraction process will be carried out independently by various authors, and the results of the data synthesis will be reported per the chosen studies, methodological considerations, and key findings. This review will provide information about the application of blended learning and its benefits and challenges in mathematics teacher education to support educational stakeholders in mathematics teacher education.