Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of the microbiome of the invasive Asian toad in Madagascar across the expansion range and comparison with a native co-occurring species

Biological invasions are on the rise, with each invader carrying a plethora of associated microbes. These microbes play important, yet poorly understood, ecological roles that can include assisting the hosts in colonization and adaptation processes or as possible pathogens. Understanding how these communities differ in an invasion scenario may help to understand the host’s resilience and adaptability. The Asian common toad, Duttaphrynus melanostictus is an invasive amphibian, which has recently established in Madagascar and is expected to pose numerous threats to the native ecosystems. We characterized the skin and gut bacterial communities of D. melanostictus in Toamasina (Eastern Madagascar), and compared them to those of a co-occurring native frog species, Ptychadena mascareniensis, at three sites where the toad arrived in different years. Microbial composition did not vary among sites, showing that D. melanostictus keeps a stable community across its expansion but significant differences were observed between these two amphibians. Moreover, D. melanostictus had richer and more diverse communities and also harboured a high percentage of total unique taxa (skin: 80%; gut: 52%). These differences may reflect the combination of multiple host-associated factors including microhabitat selection, skin features and dietary preferences.
COVID-19 and aging: Identifying measures of severity

Introduction: We aimed to compare clinical features of older age group and young and middle-aged patients with COVID-19 and analyze mortality predictors. Methods: Retrospective analysis of ongoing collection of prespecified data, on a single institution, including patients hospitalized consecutively due to COVID-19 infection, from March to June 2020. Results: Of 195 patients, 56.9% were ⩾65 years (older age group). Older age group had multimorbidity (p < 0.001). At admission Early Warning Score-2 (p < 0.001), C-reactive protein, D-dimer, creatinine, anemia and lymphopenia were higher in older age group, as well as median time of hospitalization (14 vs 10 days, p = 0.004). Complications were more common in older age group, but there were no significant differences in admission to intensive care. There were 18 deaths, 16 in older age group. Modified Early Warning Score at admission (odds ratio = 1.60, 95% confidence interval = 1.07–1.37, p = 0.021) and C-reactive protein >5 mg/dL (odds ratio = 2.12, 95% confidence interval = 1.13–26.26, p = 0.034) were independent predictors of inhospital mortality in older age group but not in young and middle-aged. Conclusion: Older age group was at higher risk for complications and inhospital mortality. Identification of specific scores of severity for this population is essential to ensure that best care is provided.
Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey

Background: The effects of Artificial Intelligence (AI) technology applications are already felt in healthcare in general and in the practice of medicine in the disciplines of radiology, pathology, ophthalmology, and oncology. The expanding interface between digital data science, emerging AI technologies and healthcare is creating a demand for AI technology literacy in health professions. Objective: To assess medical student and faculty attitudes toward AI, in preparation for teaching AI foundations and data science applications in clinical practice in an integrated medical education curriculum. Methods: An online 15-question semi-structured survey was distributed among medical students and faculty. The questionnaire consisted of 3 parts: participant’s background, AI awareness, and attitudes toward AI applications in medicine. Results: A total of 121 medical students and 52 clinical faculty completed the survey. Only 30% of students and 50% of faculty responded that they were aware of AI topics in medicine. The majority of students (72%) and faculty (59%) learned about AI from the media. Faculty were more likely to report that they did not have a basic understanding of AI technologies (χ2, P = .031). Students were more interested in AI in patient care training, while faculty were more interested in AI in teaching training (χ2, P = .001). Additionally, students and faculty reported comparable attitudes toward AI, limited AI literacy and time constraints in the curriculum. There is interest in broad and deep AI topics. Our findings in medical learners and teaching faculty parallel other published professional groups’ AI survey results. Conclusions: The survey conclusively proved interest among medical students and faculty in AI technology in general, and in its applications in healthcare and medicine. The study was conducted at a single institution. This survey serves as a foundation for other medical schools interested in developing a collaborative programming approach to address AI literacy in medical education.
A Narrative Review of Nutritional Malpractices, Motivational Drivers, and Consequences in Pregnant Women: Evidence from Recent Literature and Program Implications in Ethiopia

Maternal nutrition is very important for the wellbeing of pregnant women, childbirth, and lactating women, which are crucial and meant for the wellbeing of a mother and newborn baby. This narrative review discusses nutritional malpractices, motivational drivers, and their consequences typically from Ethiopian pregnant women's context. Different studies (regarding less of study design and type) done among pregnant women (aged 15–49 years) by considering pregnancy-related outcomes and timing of nutritional malpractices were included mostly. Accordingly, taboos of healthy diets, craving for unhealthy foods (sweet, fat, raw, and salty/spicy foods), and nonfood items (soil, coffee residue, stone, and ash) were practiced majorly by the women. The birth difficulty, fetal head plastering, fetus discoloration, fetus burns, abortion, and abdominal cramp are the primary drivers of taboos of healthy diets. Hormonal change and social and nutrient-seeking behavior are the most prevalent drivers to the consumption of unhealthy foods. Additionally, personal interest, flavor, and color of items are important motivators to practice pica. Such pica practice hurts nutrient intake, absorption of iron/zinc, abdominal health, and diarrhea occurrence. Food taboos are high predictors of health disorders, such as intrauterine growth restriction, infection, bleeding, preeclampsia, stillbirth, early birth, low birth weight, retarded development of cognitive, and anemia. Craving and eating unhealthy foods were interconnected with chronic disease development (hypertension, diabetes, heart disease, and cancer), discomforts, preterm labor, preeclampsia, and intrauterine growth restriction in women. Additionally, it is also associated with stillbirth, low birth weight, obesity, birth defect/deficit, hypertension, cancer, diabetes, metabolic syndrome, renal disease, decreased fetal growth, behavioral change, heart failure, and poor cognitive development in the infant. Overall, these nutritional malpractices are significantly associated with many argumentative pregnancies as well as developmental consequences leading to the direction of infant and maternal mortality and morbidity. Therefore, urgent implementation of health and nutrition education programs considering food misconceptions and beliefs regarding pregnancy and use of ground-breaking ways to play down the negative and maximize potential positive dietary effects designed by the government of Ethiopia could also serve as a long-term solution to the problem.
May Measurement Month 2019: an analysis of blood pressure screening results from Lebanon

Abstract Hypertension is an important public health concern of high prevalence among adults. It is associated with an increased mortality rate. The prevalence of hypertension in Lebanon has increased during the last decades, affecting around one-third of the Lebanese population. Since diagnosis and treatment of hypertension is associated with a better prognosis, annual screening and raising awareness about this ‘silent killer’ disease is of extreme value. We conducted a cross-sectional survey in various Lebanese cities in 2019. We recruited adults (≥18 years old) from different sites, through an opportunistic sampling method. For each participant, three blood pressure (BP) readings were recorded and the average of the last two was analysed. In addition, data on lifestyle factors and comorbidities were collected. Participants were considered hypertensive if they had at least one of the following: systolic or diastolic BP ≥140 and/or ≥90 mmHg, respectively, or taking antihypertensive medication. Blood pressure was measured in 7019 participants. The mean age was 46.0 (SD 16.6) years. In total, 2572 participants (36.6%) had hypertension among whom only 64.1% were aware of their disease and 62.3% were on treatment. Blood pressure was controlled in 62.6% of participants taking antihypertensive medications. This study is the largest on hypertension prevalence in Lebanon. The results demonstrated that around one-third of the hypertensive population were not aware of their disease, and that a high percentage was not being treated. These results suggest the need for rapid interventions aimed at raising awareness regarding hypertension in the Lebanese population.
Pulmonary arterial hypertension patients display normal kinetics of clot formation using thrombelastography

Pulmonary arterial hypertension is characterized by endothelial dysfunction and microthrombi formation. The role of anticoagulation remains controversial, with studies demonstrating inconsistent effects on pulmonary arterial hypertension mortality. Clinical anticoagulation practices are currently heterogeneous, reflecting physician preference. This study uses thrombelastography and hematology markers to evaluate whether clot formation and fibrinolysis are abnormal in pulmonary arterial hypertension patients. Venous blood was collected from healthy volunteers (n = 20) and patients with pulmonary arterial hypertension (n = 20) on stable medical therapy for thrombelastography analysis. Individual thrombelastography parameters and a calculated coagulation index were used for comparison. In addition, hematologic markers, including fibrinogen, factor VIII activity, von Willebrand factor activity, von Willebrand factor antigen, and alpha2-antiplasmin, were measured in pulmonary arterial hypertension patients and compared to healthy volunteers. Between group differences were analyzed using t tests and linear mixed models, accounting for repeated measures when applicable. Although the degree of fibrinolysis (LY30) was significantly lower in pulmonary arterial hypertension patients compared to healthy volunteers (0.3% ± 0.6 versus 1.3% ± 1.1, p = 0.04), all values were within the normal reference range (0–8%). All other thrombelastography parameters were not significantly different between pulmonary arterial hypertension patients and healthy volunteers (p ≥ 0.15 for all). Similarly, alpha2-antiplasmin activity levels were higher in pulmonary arterial hypertension patients compared to healthy volunteers (103.7% ± 13.6 versus 82.6% ± 9.5, p < 0.0001), but all individual values were within the normal range (75–132%). There were no other significant differences in hematologic markers between pulmonary arterial hypertension patients and healthy volunteers (p ≥ 0.07 for all). Sub-group analysis comparing thrombelastography results in patients treated with or without prostacyclin pathway targeted therapies were also non-significant. In conclusion, treated pulmonary arterial hypertension patients do not demonstrate abnormal clotting kinetics or fibrinolysis by thrombelastography.
Potential and Comparative Tablet Disintegrant Properties of Pectin Obtained from Five Okra Genotypes in Ghana

Okra pectin has been studied as a potential excipient in tablet formulations for pharmaceutical industries. Okra is widely grown and available in Ghana and other parts of the world. The prospective use of pectin from okra genotypes grown in Ghana as tablet disintegrants has not been reported. This study aims to determine the potential and comparative disintegrating properties of pectin from five okra genotypes (Abelmoschus esculentus L.) in Ghana using uncoated immediate release paracetamol tablet formulations. The yield of the pectin from the various genotypes ranged between 6.12 and 18.84% w/w. The extracted pectins had pH ranging from slightly acidic to almost neutral (6.39–6.92). Pectin from the various genotypes exhibited good swelling indexes (˃200%), varying solubility in different solvents, and low moisture content (˂20%). Elemental analysis of the extracted pectin from the various genotypes revealed very low levels of toxic metals and micronutrients. Pectin from the various genotypes was evaluated as disintegrants within concentrations of 5–10% w/w (F1–F18). Their disintegrating properties were compared to that of maize starch BP. All the formulated batches of uncoated immediate release paracetamol tablets (F1–F18) passed the following: uniformity of weight test, uniformity of dimensions, hardness, friability (˂1%), and drug content (95–105%). Significant differences (p ≤ 0.05) were observed between the hardness of the maize starch tablets and tablets formulated from pectin of the various genotypes. Pectin from all genotypes other than PC5 exhibited good disintegrating properties (DT ˂ 15 min) and subsequently passed the dissolution profile test (≥70% release in 45 minutes). Tablets formulated with PC5 as disintegrants at all concentrations (5% w/w (F5), 7.5% w/w (F11), and 10% w/w (F17)) failed the disintegration and dissolution tests. Ultimately, pectins extracted from PC1, PC2, PC3, and PC4 can be commercially exploited as disintegrants in immediate release tablets.
Emergency care with lay responders in underserved populations: a systematic review

Abstract Objective To assess the individual and community health effects of task shifting for emergency care in low-resource settings and underserved populations worldwide. Methods We systematically searched 13 databases and additional grey literature for studies published between 1984 and 2019. Eligible studies involved emergency care training for laypeople in underserved or low-resource populations, and any quantitative assessment of effects on the health of individuals or communities. We conducted duplicate assessments of study eligibility, data abstraction and quality. We synthesized findings in narrative and tabular format. Findings Of 19 308 papers retrieved, 34 studies met the inclusion criteria from low- and middle-income countries (21 studies) and underserved populations in high-income countries (13 studies). Targeted emergency conditions included trauma, burns, cardiac arrest, opioid poisoning, malaria, paediatric communicable diseases and malnutrition. Trainees included the general public, non-health-care professionals, volunteers and close contacts of at-risk populations, all trained through in-class, peer and multimodal education and public awareness campaigns. Important clinical and policy outcomes included improvements in community capacity to manage emergencies (14 studies), patient outcomes (13 studies) and community health (seven studies). While substantial effects were observed for programmes to address paediatric malaria, trauma and opioid poisoning, most studies reported modest effect sizes and two reported null results. Most studies were of weak (24 studies) or moderate quality (nine studies). Conclusion First aid education and task shifting to laypeople for emergency care may reduce patient morbidity and mortality and build community capacity to manage health emergencies for a variety of emergency conditions in underserved and low-resource settings.
Willingness to Use Automated Vehicles: Results From a Large and Diverse Sample of U.S. Older Adults

The diffusion of fully automated vehicles (AVs), or self-driving vehicles, is expected to provide many affordances for older adults. If older adults are not willing to use AVs, they will not be able to reap these affordances. Understanding factors related to older adults’ willingness to use AVs is key to ensuring that successful strategies can be devised to promote their utilization in the future. In this study, we investigate U.S. older adults’ willingness to use AVs among a large and diverse sample (N = 1,231). We assessed sociodemographic, population density, health, and attitudinal determinants of willingness to use AVs. Our binary logistic regression results showed that older adults with higher levels of educational attainment, transportation limitations, and positive attitudes toward new technology adoption were more likely to be willing to use AVs. Our study indicates that older adults’ willingness to use AVs are complex and vary among U.S. older adults. Practical implications and study limitations are discussed.
Imaging spectrum of abdominal manifestations of COVID-19

Coronavirus disease 2019 (COVID-19) has posed a serious threat to global public health with its rapid spread, high fatality, and severe burden on health care providers all over the world. Although COVID-19 has been established as a respiratory tract infection, it can manifest with gastrointestinal symptoms as a consequence of direct infection by the virus or due to inflammation-mediated cytotoxicity. It has been observed that COVID-19 patients presenting with gastrointestinal symptoms tend to progress to a severe form of disease with increased morbidity and mortality, thus indicating the need for timely management. COVID-19 manifests with a wide spectrum of radiologic findings on gastrointestinal tract imaging, encompassing bowel abnormalities, hepato-biliary and pancreatic involvement, vascular occlusion, and solid organ infarction. Early recognition of these imaging features can facilitate timely treatment of COVID-19 associated gastrointestinal tract complications and may prompt the diagnosis of COVID-19 in patients with atypical disease manifestations. The aim of this article is to provide an overview of the various gastrointestinal imaging manifestations that can be encountered in patients with COVID-19, with an emphasis on early diagnosis of the disease as well as treatment related complications.
Identification of pathogen(s) in infectious diseases using shotgun metagenomic sequencing and conventional culture: a comparative study

Background Early and accurate diagnosis of microorganism(s) is important to optimize antimicrobial therapy. Shotgun metagenomic sequencing technology, an unbiased and comprehensive method for pathogen identification, seems to potentially assist or even replace conventional microbiological methodology in the diagnosis of infectious diseases. However, evidence in clinical application of this platform is relatively limited. Methods To evaluate the capability of shotgun metagenomic sequencing technology in clinical practice, both shotgun metagenomic sequencing and conventional culture were performed in the PCR-positive body fluid specimens of 20 patients with suspected infection. The sequenced data were then analyzed for taxonomic identification of microbes and antibiotic resistance gene prediction using bioinformatics pipeline. Results Shotgun metagenomic sequencing results showed a concordance of 17/20 compared with culture results in bacterial detection, and a concordance of 20/20 compared with culture results in fungal detection. Besides, drug-resistant types annotated from antibiotic resistance genes showed much similarity with antibiotic classes identified by susceptibility tests, and more than half of the specimens had consistent drug types between shotgun metagenomic sequencing and culture results. Conclusions Pathogen identification and antibiotic resistance gene prediction by shotgun metagenomic sequencing identification had the potential to diagnose microorganisms in infectious diseases, and it was especially helpful for multiple microbial co-infections and for the cases where standard culture approached failed to identify microorganisms.
Using Artificial Intelligence for High-Volume Identification of Silicosis and Tuberculosis: A Bio-Ethics Approach

Although Artificial Intelligence (AI) is being increasingly applied, considerable distrust about introducing “disruptive” technologies persists. Intrinsic and contextual factors influencing where and how such innovations are introduced therefore require careful scrutiny to ensure that health equity is promoted. To illustrate one such critical approach, we describe and appraise an AI application – the development of computer assisted diagnosis (CAD) to support more efficient adjudication of compensation claims from former gold miners with occupational lung disease in Southern Africa. In doing so, we apply a bio-ethical lens that considers the principles of beneficence, non-maleficence, autonomy and justice and add explicability as a core principle. We draw on the AI literature, our research on CAD validation and process efficiency, as well as apprehensions of users and stakeholders. Issues of concern included AI accuracy, biased training of AI systems, data privacy, impact on human skill development, transparency and accountability in AI use, as well as intellectual property ownership. We discuss ways in which each of these potential obstacles to successful use of CAD could be mitigated. We conclude that efforts to overcoming technical challenges in applying AI must be accompanied from the onset by attention to ensuring its ethical use.
Assessing neuropathic pain in sickle cell disease: How useful is quantitative sensory testing?

Quantitative sensory testing (QST) is a psychophysical test of sensory function which may assist in assessing neuropathic pain (NP). This study compares QST findings with a standardized NP questionnaire to assess their agreement among Jamaicans with sickle cell disease (SCD). A cross sectional study consecutively recruited SCD patients 14 years and older, not pregnant, and without history of clinical stroke or acute illness in Kingston, Jamaica. QST identified thresholds for cold detection, heat detection, heat pain and pressure pain at the dominant thenar eminence, opposite dorsolateral foot and the subject's most frequent pain site. The Douleur Neuropathique 4 (DN4) was interviewer-administered to diagnose NP. Subjects were divided into low and high sensitization groups if below the 5th and above the 95th percentiles, respectively on QST measures. Kappa agreement coefficients, and receiver operator characteristic (ROC) curves were performed to compare QST with the DN4. Two hundred and fifty-seven SCD subjects were recruited (mean age 31.7{+/-}12.2 years, 55.7% female, 75% SS genotype). Kappa agreements were fair (0.2-0.4) to good (0.6-0.8) between DN4 individual items of itching, hypoesthesia to touch, hypoesthesia to pinprick and brush allodynia with various QST sensitization groups. However, kappa agreements between the NP overall diagnosis on the DN4 with sensitization groups were poor (<0.2). Only heat detection (0.75) and heat pain (0.75) at the leg as a pain site showed satisfactory area under the curve (>0.7). QST may assist in assessing individual components of NP but its use should be limited as a tool to augment clinical assessments.