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This study examines the connection between economic policy uncertainty (EPU), CO2 emissions, and financial inclusion in developed and developing countries. Using the data from 2004 to 2021, advanced statistical techniques are employed, including Sobel test, to explore the mediating effect of financial inclusion on the relationship between economic policy uncertainty (EPU) and CO2 emissions. There is a dearth of research examining these three variables together in a single study. Similarly, using financial inclusion as a mediator in the relation of EPU and CO2 emissions is a novel concept. This article employs a multi-indicator approach to measure key variables like CO2 emissions and financial inclusion. The results indicate that uncertainties in economic policies contribute in practices that lead to higher CO2 emissions in overall panel data of 44 countries. In addition, when considering the relationship between EPU and FI, the results indicate a significant and negative relationship between EPU and FI. If there is uncertainty in economic policies, it may lead toward challenges and hurdles in financial inclusion. When the mediating affect was checked, it was found financial inclusion acts as a significant mediator in the relationship between EPU and CO2 emissions, depicting that financial inclusion fosters the environmental quality and mitigates the potential harmful effects of environmental aspects of economic policy uncertainty. Therefore, policies that promote financial inclusion should be given top priority by governments, particularly in emerging nations. Financial literacy and bank service accessibility should be promoted. These measures would lessen the impact of staggering economic policies on CO2 emissions. It is necessary for policymakers to include environmental factors, specifically those relating to carbon emissions, into economic strategies. This requires encouraging industries to adopt eco-friendly practices and coordinating economic strategies with sustainability objectives.
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Dióxido de Carbono , Dióxido de Carbono/análisis , Incertidumbre , Política Ambiental , Países en DesarrolloRESUMEN
BACKGROUND: The IDENTIFY study developed a model to predict urinary tract cancer using patient characteristics from a large multicentre, international cohort of patients referred with haematuria. In addition to calculating an individual's cancer risk, it proposes thresholds to stratify them into very-low-risk (<1%), low-risk (1-<5%), intermediate-risk (5-<20%), and high-risk (≥20%) groups. OBJECTIVE: To externally validate the IDENTIFY haematuria risk calculator and compare traditional regression with machine learning algorithms. DESIGN, SETTING, AND PARTICIPANTS: Prospective data were collected on patients referred to secondary care with new haematuria. Data were collected for patient variables included in the IDENTIFY risk calculator, cancer outcome, and TNM staging. Machine learning methods were used to evaluate whether better models than those developed with traditional regression methods existed. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The area under the receiver operating characteristic curve (AUC) for the detection of urinary tract cancer, calibration coefficient, calibration in the large (CITL), and Brier score were determined. RESULTS AND LIMITATIONS: There were 3582 patients in the validation cohort. The development and validation cohorts were well matched. The AUC of the IDENTIFY risk calculator on the validation cohort was 0.78. This improved to 0.80 on a subanalysis of urothelial cancer prevalent countries alone, with a calibration slope of 1.04, CITL of 0.24, and Brier score of 0.14. The best machine learning model was Random Forest, which achieved an AUC of 0.76 on the validation cohort. There were no cancers stratified to the very-low-risk group in the validation cohort. Most cancers were stratified to the intermediate- and high-risk groups, with more aggressive cancers in higher-risk groups. CONCLUSIONS: The IDENTIFY risk calculator performed well at predicting cancer in patients referred with haematuria on external validation. This tool can be used by urologists to better counsel patients on their cancer risks, to prioritise diagnostic resources on appropriate patients, and to avoid unnecessary invasive procedures in those with a very low risk of cancer. PATIENT SUMMARY: We previously developed a calculator that predicts patients' risk of cancer when they have blood in their urine, based on their personal characteristics. We have validated this risk calculator, by testing it on a separate group of patients to ensure that it works as expected. Most patients found to have cancer tended to be in the higher-risk groups and had more aggressive types of cancer with a higher risk. This tool can be used by clinicians to fast-track high-risk patients based on the calculator and investigate them more thoroughly.
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Bacterial bloodstream infections (BSI) are the leading cause of mortality and morbidity in pediatric solid organ transplant recipients. This systematic review aimed to pool global data from leading transplant institutions and identify the overall incidence, risk factors, and causative organisms of BSI in pediatric liver transplant recipients. A systematic review of the PubMed and OVID databases was conducted from 2000 to 2022. The initial search yielded 252 unique articles, which were independently reviewed by 2 authors. Articles that reported pediatric-specific data on BSI in isolated liver transplant patients were included, including the incidence of BSI, isolated organisms, and involved risk factors involved. This systematic review was registered with PROSPERO (ID: CRD42023403206). Fourteen articles from the United States, France, Iran, Japan, Korea, South Africa, Thailand, and Turkey were included. A total of 4,812 liver transplants were included in the final analysis. The mean patient age was 25 months (age range, 0-18 years), and 50.9% were male. The overall incidence of BSI was 23.5% (range, 14.7%-55%). The most commonly reported organisms were Staphylococcus epidermidis, Enterococcus, Klebsiella spp., and Escherichia coli. Among the risk factors studied, postoperative biliary complications, a medical history of biliary atresia, and younger age were the risk factors most commonly associated with BSI. Bacterial BSI after pediatric liver transplantation occur at a high incidence, with a unique organism profile notable for a higher percentage of gram-negative organisms. Further studies are required to determine the most appropriate prophylactic and empirical antibiotic management strategies for this population.
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Heat therapy, including saunas, jacuzzi, and hot tub bathing, has gained global popularity. However, the escalating incidents of injuries and fatalities associated with hot tub activities are a significant public health concern. This study aims to comprehensively review and analyze the pathophysiological factors contributing to hot tub-related deaths, addressing the need for awareness and mitigation strategies. A comprehensive search of electronic databases, PubMed and Science Direct, was conducted to identify articles relevant to bath-related deaths. Eligible studies were exported to the Rayyan (Qatar Computing Research Institute, Qatar) software for data analysis. The data extracted from the 18 studies were compiled to elucidate the mechanisms underlying hot tub bath-related deaths and to advocate for the adoption of potential mitigation strategies and future directions to prevent such incidents in the future. The review revealed insights into the current trend of fatalities linked to hot tub bathing. A detailed analysis of pathophysiological aspects, encompassing hemodynamics, electrolyte disturbances, serum glucagon alterations, and the impact of alcohol and substance abuse during hot tub use, was conducted. Furthermore, we explored the effects of temperature and conducted a thorough discussion of postmortem evidence analysis concerning deaths related to bathtub usage. Finally, the paper discusses mitigation strategies to prevent fatalities attributed to hot tub bathing. In conclusion, our review highlights growing public health concerns surrounding injuries and fatalities related to hot tub activities. Through an examination of the incidence rates, pathophysiological factors, and proposed mitigation strategies, we provide crucial insights for enhancing safety and addressing the escalating risks associated with hot tub bathing.
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Eating disorders are on the rise with a significant impact on mental health. Misuse of social media platforms is likely a significant contributing factor. This trend is especially pronounced among adolescents, who are increasingly using social media platforms for communications, building relationships, learning and entertainment. The unsupervised sharing of social media content can have drastic consequences on the physical and psychological wellbeing of youth, which often takes the form of "thinspiration" or "fitspiration". This probably serves as a trigger for those already struggling with eating disorders. In addition, there is a lack of awareness among youth and adults on ideal knowledge-sharing practices related to an eating disorder. By addressing the unique challenges that social media presents for youth with eating disorders, communities can work towards creating a safer and more supportive online environment on a global scale. At this junction, this article aims to share the current challenges of social media use among adolescents with eating disorders and put forth recommendations for how social media could be used as a tool for positive impact in this population.
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Background: Although many studies worldwide have reported on violence against health care workers, there is a lack of homogeneous data for understanding the current state of the issue. Conducting a global survey required a robust team organisation structure, unique dissemination strategies, and continual networking to maintain and propagate the pool of survey collaborators and responders. Here we aimed to describe the strategies that helped us carry out a global survey-based study, the lessons learned, and provide a practical roadmap for future large-scale cross-sectional studies. Methods: We conducted this cross-sectional survey-based study from 6 June to 9 August 2022, basing it on the 'Hub and Spoke' model, with a single core team and subgroups in different regions managed by country leads. The key steps included team organisation, strategy formulation for survey dissemination and data collection, social media launch, and conducting a post-survey analysis amongst the collaborators. The core team convened weekly via video conference to discuss the modus operandi. The language barrier was managed through audio translation or by shifting to 'an interviewer-administered' questionnaire. Results: The core team included 11 members from seven countries, followed by 28 country leads from 110 countries. We also gathered 80 regional collaborators who provided feedback and spread the message. The Violence Study of Healthcare Workers and Systems (ViSHWaS) returned 5500 responses globally. Guiding principles garnered through this collaborative project include focusing on effective team organisation, ensuring external validation of survey tool, personalised communication, global networking, timely communication for maintaining momentum, and addressing regional limitations. The post-survey analysis showed that WhatsApp messaging was the most common modality used for survey dissemination, followed by in-person meetings and text messaging. We noted that the successful techniques were direct communication with respondents, regular progress updates, responsiveness to regional and country lead needs, and timely troubleshooting. The most common barriers for the respondents were limitations in language proficiency, technical fallouts, lack of compliance with, and difficulty understanding the questionnaire. Conclusions: In this global survey-based study of more than 5500 responses from over 110 countries, we noted valuable lessons in team management, survey dissemination, and addressing barriers to collaborative research.
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Comunicación , Personal de Salud , Humanos , Estudios Transversales , Encuestas y Cuestionarios , Atención a la SaludRESUMEN
Background and Objectives: Bartter syndrome (BS) is a rare group of autosomal-recessive disorders that usually presents with hypokalemic metabolic alkalosis, occasionally with hyponatremia and hypochloremia. The clinical presentation of BS is heterogeneous, with a wide variety of genetic variants. The aim of this systematic review was to examine the available literature and provide an overview of the case reports and case series on BS. Materials and Methods: Case reports/series published from April 2012 to April 2022 were searched through Pubmed, JSTOR, Cochrane, ScienceDirect, and DOAJ. Subsequently, the information was extracted in order to characterize the clinical presentation, laboratory results, treatment options, and follow-up of the patients with BS. Results: Overall, 118 patients, 48 case reports, and 9 case series (n = 70) were identified. Out of these, the majority of patients were male (n = 68). A total of 21 patients were born from consanguineous marriages. Most cases were reported from Asia (73.72%) and Europe (15.25%). In total, 100 BS patients displayed the genetic variants, with most of these being reported as Type III (n = 59), followed by Type II (n = 19), Type I (n = 14), Type IV (n = 7), and only 1 as Type V. The most common symptoms included polyuria, polydipsia, vomiting, and dehydration. Some of the commonly used treatments were indomethacin, potassium chloride supplements, and spironolactone. The length of the follow-up time varied from 1 month to 14 years. Conclusions: Our systematic review was able to summarize the clinical characteristics, presentation, and treatment plans of BS patients. The findings from this review can be effectively applied in the diagnosis and patient management of individuals with BS, rendering it a valuable resource for nephrologists in their routine clinical practice.
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Síndrome de Bartter , Hiponatremia , Humanos , Masculino , Femenino , Síndrome de Bartter/complicaciones , Síndrome de Bartter/diagnóstico , Síndrome de Bartter/terapia , Potasio , Espironolactona/uso terapéutico , Europa (Continente)RESUMEN
OBJECTIVE: To provide insights into the nature, risk factors, impact and existing measures for reporting and preventing violence in the healthcare system. The under-reporting of violence against healthcare workers (HCWs) globally highlights the need for increased public awareness and education. METHODS: The Violence Study of Healthcare Workers and Systems study used a survey questionnaire created using Research Electronic Data Capture (REDCap) forms and distributed from 6 June to 9 August 2022. Logistic regression analysis evaluated violence predictors, including gender, age, years of experience, institution type, respondent profession and night shift frequency. A χ2 test was performed to determine the association between gender and different violence forms. RESULTS: A total of 5405 responses from 79 countries were analysed. India, the USA and Venezuela were the top three contributors. Female respondents comprised 53%. The majority (45%) fell within the 26-35 age group. Medical students (21%), consultants (20%), residents/fellows (15%) and nurses (10%) constituted highest responders. Nearly 55% HCWs reported firsthand violence experience, and 16% reported violence against their colleagues. Perpetrators were identified as patients or family members in over 50% of cases, while supervisor-incited violence accounted for 16%. Around 80% stated that violence incidence either remained constant or increased during the COVID-19 pandemic. Among HCWs who experienced violence, 55% felt less motivated or more dissatisfied with their jobs afterward, and 25% expressed willingness to quit. Univariate analysis revealed that HCWs aged 26-65 years, nurses, physicians, ancillary staff, those working in public settings, with >1 year of experience, and frequent night shift workers were at significantly higher risk of experiencing violence. These results remained significant in multivariate analysis, except for the 55-65 age group, which lost statistical significance. CONCLUSION: This global cross-sectional study highlights that a majority of HCWs have experienced violence, and the incidence either increased or remained the same during the COVID-19 pandemic. This has resulted in decreased job satisfaction.
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COVID-19 , Médicos , Humanos , Femenino , Adulto , Persona de Mediana Edad , Anciano , Estudios Transversales , Pandemias , COVID-19/epidemiología , Personal de SaludRESUMEN
The metaverse has a promising role to serve as a global platform and tackle one of the most intractable public health challenges; vaccine hesitancy. Active efforts in this field can enhance vaccine acceptance thus leading to better community health protection. By embracing digital health innovations, the metaverse potentially creates an interactive environment for interdisciplinary collaborations that can foster novel approaches in tackling vaccine hesitancy as well as future pandemics. This paper aims to highlight the unique areas where the metaverse can enhance vaccination confidence, educate about vaccine working principles, and offer collaborative healthcare initiatives in this virtual community.
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The recent flood crisis in Pakistan has had significant impacts on the physical, mental and socioeconomic fabric of almost 33 million people. Floods in Pakistan are leading to a range of negative impacts on health and major disruptions to healthcare services. The lack of mental health and psychosocial support services (MHPSS) is a significant concern in rural areas of Pakistan in providing support to communities affected by floods. It is important for the government and mental health policymakers to work with academic coalitions and non-governmental organisations to replicate low-resource MHPSS models that will develop and advocate for effective, gender-sensitive mental healthcare throughout the country.
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Autoimmune encephalitis (AE) is a newly defined group of disorders characterized by psychiatric symptoms such as psychosis and manic or hypomanic symptoms, with or without neurological symptoms. The most common neurological symptoms include seizures, altered mental status, autonomic disability, disorientation, and movement disorders. Our case report describes a type of AE caused by circulating autoantibodies against voltage-gated potassium channels (VGKC), which has not been reported before in the United Arab Emirates. This case report describes the psychiatric manifestations in a 17-year-old female with AE. It aims to shed light on the rare presentations of AE, discuss the various causes and management in greater depth, and the importance of suspecting and diagnosing AE early in the illness course. This rare case highlights the need for further research on the underlying biological, psychological, and social risk factors for developing AE in this region, and to direct further attention to developing early-intervention strategies in the vulnerable patient population.
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In this study, a tertiary composite of graphitic carbon nitride (GCN) with copper and manganese is utilized for photocatalytic degradation to add to efforts for tackling environmental pollution problems. The photocatalytic efficiency of GCN is enhanced with the doping of copper and manganese. This composite is prepared using melamine thermal self-condensation. The formation and characteristics of the composite Cu-Mn-doped GCN are affirmed by X-ray diffraction (XRD), scanning electron microscopy (SEM), ultraviolet (UV), and Fourier transform infrared spectroscopy (FTIR). This composite has been used for the degradation of an organic dye (methylene blue (MB)) from water at neutral conditions (pH = 7) of the solution. The percentage photocatalytic degradation of MB by Cu-Mn-doped GCN is higher than that of Cu-GCN and GCN. The prepared composite enhances the degradation of methylene blue (MB) from 5 to 98% under sunlight. The photocatalytic degradation is enhanced owing to the reduction of hole-electron recombination in GCN, enhanced surface area, and extended sunlight utilization by the doped Cu and Mn.
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Pharmacogenetic studies the influence of inherited characteristics on medication. While different from pharmacogenomics, which is a study of the entire genome in relation to medication effect, their distinction remains inconsistent, and the two terms are used interchangeably. Although the potential of pharmacogenomics in psychiatry is apparent and its clinical utility is suboptimal, the uptake of recommendations and guidelines is minimal and research into PGx is not diverse. This article offers an overview of pharmacogenetics (PGx) in psychiatry, explores the difficulties, and provides recommendations on improving its applicability and clinical utility.
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Pruebas de Farmacogenómica , Psiquiatría , Humanos , FarmacogenéticaRESUMEN
Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to complex decision-making. However, applications in different specialities are variable and generally limited. Like other conditions, the number of studies employing ML in hypertension research is growing rapidly. In this study, we aimed to survey hypertension research using ML, evaluate the reporting quality, and identify barriers to ML's potential to transform hypertension care. Methods and Results The Harmonious Understanding of Machine Learning Analytics Network survey questionnaire was applied to 63 hypertension-related ML research articles published between January 2019 and September 2021. The most common research topics were blood pressure prediction (38%), hypertension (22%), cardiovascular outcomes (6%), blood pressure variability (5%), treatment response (5%), and real-time blood pressure estimation (5%). The reporting quality of the articles was variable. Only 46% of articles described the study population or derivation cohort. Most articles (81%) reported at least 1 performance measure, but only 40% presented any measures of calibration. Compliance with ethics, patient privacy, and data security regulations were mentioned in 30 (48%) of the articles. Only 14% used geographically or temporally distinct validation data sets. Algorithmic bias was not addressed in any of the articles, with only 6 of them acknowledging risk of bias. Conclusions Recent ML research on hypertension is limited to exploratory research and has significant shortcomings in reporting quality, model validation, and algorithmic bias. Our analysis identifies areas for improvement that will help pave the way for the realization of the potential of ML in hypertension and facilitate its adoption.
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Hipertensión , Aprendizaje Automático , Humanos , Hipertensión/diagnóstico , Hipertensión/terapia , Presión Sanguínea , Encuestas y CuestionariosRESUMEN
Miller Fisher syndrome (MFS) is an uncommon form of Guillain-Barré syndrome (GBS), a neurological condition that is acquired, degenerative, demyelinating, and frequently characterized by gradual, symmetrical ascending paralysis. Ophthalmoplegia, ataxia, and areflexia are common symptoms that follow a bacterial or viral infection. Here, we want to draw attention to a rare case of MFS in a 45-year-old Indian female who had dysphagia, dysphasia, ataxia, and dyskinesia while moving around. Unusually, she had no past medical history of Campylobacter jejuni infection, recent vaccinations, upper respiratory tract infections, or any sexually transmitted diseases. Since this disorder has excellent prognosis, early diagnosis and effective treatment are crucial to minimizing unnecessary medical intervention and psychological suffering.
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Introduction: Multiple studies have shown how valuable Twitter hashtags can be for promoting content related to different themes in the online community. This arena has grown into a rich data source for public health observation and understanding key trends in healthcare on a global scale. In the field of mental health in particular, it would be of benefit to understand and report the key stakeholders' (individual mental health professionals, academic organizations and their countries) trends and patterns of psychiatric knowledge and information dissemination using #PsychTwitter. Objective: In this study, we aim to evaluate the achieved outreach of psychiatry-related tweets using the hashtag #PsychTwitter. Methods: We utilized the Symplur Signals research analytics tool to characterize tweets containing #PsychTwitter from the 20th of August, 2019, to the 20th of August, 2022. Results: The #PsychTwitter movement resulted in 125,297 tweets that were shared by 40,058 Twitter users and generated a total of 492,565,230 impressions (views). The three largest identified groups of contributors were Doctors (13.8% of all tweets), Org. Advocacy (6.2% of all tweets), and Researcher/Academic (4% of all tweets) stakeholders. The top influential accounts consisted of 55 psychiatrists and 16 institutional or organizational accounts. The top 5 countries from where most of the tweets containing #PsychTwitter were shared include the United States (54.3% of all users), the United Kingdom (10.4% of all users), Canada (4.9% of all users), India (2% of all users), and Australia (1.8% of all users). Conclusion: This is the first of its kind study featuring the influence and usage of #PsychTwitter and covering its global impact in the field of psychiatry using the Twitter platform. Our results indicate that Twitter represents a broadly used platform for mental health-related discussions.
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Médicos , Medios de Comunicación Sociales , Humanos , Personal de Salud , Difusión de la Información , CanadáRESUMEN
Background: Hospitals are institutions whose primary task is to treat patients. Family-centered care, which considers loved ones as equal partners in patient care, has been gaining recognition in the adult care setting. Our aim was to record experiences of and opinions on communication between hospital-based healthcare providers and patients' loved ones, related but not limited to the rigorous mitigation measures implemented during the COVID-19 pandemic. Methods: The Twitter profile @HospitalsTalkTo and hashtag #HospitalsTalkToLovedOnes were created to interact with the Twitter public between 7 June 2021 and 7 February 2022. Conversations surrounding #HospitalsTalkToLovedOnes were extracted and subjected to natural language processing analysis using term frequency and Markov chain analysis. Qualitative thematic analysis was performed on the 10% most interacted tweets and of tweets mentioning "COVID" from a personal experience-based subset. Results: We collected 4412 unique tweets made or interacted by 7040 Twitter users from 142 different countries. The most frequent words were patient, hospital, care, family, loved and communication. Thematic analysis revealed the importance of communication between patients, patients' loved ones and hospitals; showed that patients and their loved ones need support during a patient's hospital journey; and that pediatric care should be the gold standard for adult care. Visitation restrictions due to COVID-19 are just one barrier to communication, others are a lack of phone signal, no space or time for asking questions, and a complex medical system. We formulate 3 recommendations to improve the inclusion of loved ones into the patient's hospital stay. Conclusions: "Loved ones are not 'visitors' in a patient's life". Irrespective of COVID-19, patient's loved ones need to be included during the patient's hospital journey. Transparent communication and patient empowerment increase patient safety and improve the hospital experience for both the patients and their loved ones. Our findings underline the need for the concept of family-centered care to finally be implemented in adult nursing clinical practice.