Basic life support awareness among medical undergraduate students in Syria, Iraq, and Jordan: a multicenter cross-sectional study

BACKGROUND AND AIMS

Basic life support (BLS) training rates vary widely worldwide, and there is a general scarcity of surveys that assess students' knowledge and awareness of BLS in middle eastern nations. This study aims to evaluate medical students' knowledge and awareness towards basic life support.

METHODS

A cross-sectional study, using an online web-based questionnaire, assessing BLS awareness and knowledge, was conducted from 3 to 30 November 2021. The study included 2114 medical students from Syria, Iraq, and Jordan. The questionnaire consisted of three sections: demographic baseline characteristics, knowledge about BLS, and ability to apply basic life support. A binominal logistic regression was done between the total score and other demographic characteristics to determine if we could predict the research sample's appropriate knowledge of BLS level.

RESULTS

There was a moderate knowledge of BLS and cardiopulmonary resuscitation (CPR) skills among participating students with an average score of 19.67 (0-34). Seventy-eight of the participants (1656) stated that they have not attended a basic life support course. There was a significant difference between the participants from different countries, where the mean score in Syria, Jordan, and Iraq was 18.3, 24.3, and 18.8, respectively (p < 0.05). Considering the level of knowledge, 18.3%, 72.8%, and 8.9% of the participants had a high, intermediate, and low level, respectively. Furthermore, students who took a BLS course had a higher level of knowledge than those who did not, with an odds ratio of 5.168 (p value < 0.0001).

CONCLUSION

The overall knowledge of medical students' basic life support knowledge is insufficient and need to be greatly improved. According to this study, previous participation in basic life support training had a positive effect on knowledge level. As a result, universities must establish basic life support programs as quickly as possible.

Efficacy and Safety of Enteral Human Recombinant Insulin to Reduce the Time to Full Enteral Feeding in Preterm Infants: A Meta-Analytical Study

Recombinant human insulin plays an important role in the gut maturation of preterm infants. This meta-analysis was carried out to assess the efficacy and safety of enteral recombinant human insulin in decreasing the time to full enteral feeding in preterm infants. The pooling of data from four clinical trials yielded a significant decrease in the time to full enteral feeding in preterm infants under both low (Mean difference [MD] -3.43 days; 95% CI: -6.18 to -0.69 days; I2 = 48%) and high doses of insulin (MD -7.10 days; 95% CI: -10.02 to -4.18 days; I2 = 0%). These findings require confirmation by further large trials that evaluate the efficacy and safety of enteral insulin, especially at supraphysiological doses.

Patient-centred digital biomarkers for allergic respiratory diseases and asthma: the ARIA-EAACI approach

Biomarkers for the diagnosis, treatment and follow-up of patients with rhinitis and/or asthma are urgently needed. Although some biologic biomarkers exist in specialist care for asthma, they cannot be largely used in primary care. There are no validated biomarkers in rhinitis or allergen immunotherapy (AIT) that can be used in clinical practice. The digital transformation of health and health care (including mHealth) places the patient at the centre of the health system and is likely to optimise the practice of allergy. ARIA (Allergic Rhinitis and its Impact on Asthma) and EAACI (European Academy of Allergy and Clinical Immunology) developed a Task Force aimed at proposing patient-reported outcome measures (PROMs) as digital biomarkers that can be easily used for different purposes in rhinitis and asthma. It first defined control digital biomarkers that should make a bridge between clinical practice, randomised controlled trials, observational real-life studies and allergen challenges. Using the MASK-air app as a model, a daily electronic combined symptom-medication score for allergic diseases (CSMS) or for asthma (e-DASTHMA), combined with a monthly control questionnaire, were embedded in a strategy similar to the diabetes approach for disease control. To mimic real-life, it secondly proposed quality-of-life digital biomarkers including daily EQ-5D visual analogue scales and the bi-weekly RhinAsthma Patient Perspective (RAAP). The potential implications for the management of allergic respiratory diseases were proposed.

Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains

Disease severity identification using computational intelligence-based approaches is gaining popularity nowadays. Artificial intelligence and deep-learning-assisted approaches are proving to be significant in the rapid and accurate diagnosis of several diseases. In addition to disease identification, these approaches have the potential to identify the severity of a disease. The problem of disease severity identification can be considered multi-class classification, where the class labels are the severity levels of the disease. Plenty of computational intelligence-based solutions have been presented by researchers for severity identification. This paper presents a comprehensive review of recent approaches for identifying disease severity levels using computational intelligence-based approaches. We followed the PRISMA guidelines and compiled several works related to the severity identification of multidisciplinary diseases of the last decade from well-known publishers, such as MDPI, Springer, IEEE, Elsevier, etc. This article is devoted toward the severity identification of two main diseases, viz. Parkinson's Disease and Diabetic Retinopathy. However, severity identification of a few other diseases, such as COVID-19, autonomic nervous system dysfunction, tuberculosis, sepsis, sleep apnea, psychosis, traumatic brain injury, breast cancer, knee osteoarthritis, and Alzheimer's disease, was also briefly covered. Each work has been carefully examined against its methodology, dataset used, and the type of disease on several performance metrics, accuracy, specificity, etc. In addition to this, we also presented a few public repositories that can be utilized to conduct research on disease severity identification. We hope that this review not only acts as a compendium but also provides insights to the researchers working on disease severity identification using computational intelligence-based approaches.

Addressing the Endometriosis Knowledge Gap for Improved Clinical Care—A Cross-Sectional Pre- and Post-Educational-Intervention Study among Pakistani Women

This study explored the baseline knowledge and symptoms associated with endometriosis, educated women about endometriosis, and documented the improvement in endometriosis knowledge. A brief intervention with an educational brochure on endometriosis was administered among 303 female participants. A paired-sample t-test and one-way ANOVA were run to compute endometriosis knowledge scores. In total, 49.5% of the participants had consistent access to annual healthcare, 25.1% were healthcare workers, and 45.2% had an undergraduate education. The entire sample had a pre-test endometriosis knowledge score of 4.2 (SD = 2.48), and the score was 6.3 (SD = 2.3) on the post-test. One-way ANOVA yielded no significant improvement in knowledge scores across the groups with consistent and inconsistent access to annual healthcare, despite a significant overall increase in scores (t = 16.63, df = 302, p < 0.001). We identified a significant improvement in the knowledge concerning endometriosis. Educational strategies among women who are menstruating are essential for addressing diagnostic delays and bridging the endometriosis knowledge gap.

Rhinitis associated with asthma is distinct from rhinitis alone: The ARIA-MeDALL hypothesis

Asthma, rhinitis and atopic dermatitis (AD) are interrelated clinical phenotypes that partly overlap in the human interactome. The concept of "one-airway-one-disease", coined over 20 years ago, is a simplistic approach of the links between upper- and lower-airway allergic diseases. With new data, it is time to reassess the concept. This article reviews (i) the clinical observations that led to Allergic Rhinitis and its Impact on Asthma (ARIA), (ii) new insights into polysensitisation and multimorbidity, (iii) advances in mHealth for novel phenotype definition, (iv) confirmation in canonical epidemiologic studies, (v) genomic findings, (vi) treatment approaches and (vii) novel concepts on the onset of rhinitis and multimorbidity. One recent concept, bringing together upper- and lower-airway allergic diseases with skin, gut and neuropsychiatric multimorbidities, is the "Epithelial Barrier Hypothesis". This review determined that the "one-airway-one-disease" concept does not always hold true and that several phenotypes of disease can be defined. These phenotypes include an extreme "allergic" (asthma) phenotype combining asthma, rhinitis and conjunctivitis. Rhinitis alone and rhinitis and asthma multimorbidity represent two distinct diseases with the following differences: (i) genomic and transcriptomic background (Toll-Like Receptors and IL-17 for rhinitis alone as a local disease; IL-33 and IL-5 for allergic and non-allergic multimorbidity as a systemic disease), (ii) allergen sensitisation patterns (mono- or pauci-sensitisation versus polysensitisation), (iii) severity of symptoms and (iv) treatment response. In conclusion, rhinitis alone (local disease) and rhinitis with asthma multimorbidity (systemic disease) should be considered as two distinct diseases, possibly modulated by the microbiome, and may be a model for understanding the epidemics of chronic and auto-immune diseases.

Emerging Therapeutic Strategies for Diffuse Intrinsic Pontine Glioma: A Systematic Review

BACKGROUND

Of all central nervous systems tumors, 10-20% are located in the brainstem; diffuse intrinsic pontine glioma (DIPG) is diagnosed in 80% of them. With over five decades of clinical trial testing, there are no established therapeutic options for DIPG. This research article aims to collate recent clinical trial data and provide a landscape for the most promising therapies that have emerged in the past five years.

METHODS

PubMed/MEDLINE, Web of Science, Scopus, and Cochrane were systematically searched using the following keywords: Diffuse intrinsic pontine glioma, Pontine, Glioma, Treatment, Therapy, Therapeutics, curative, and/or Management. Both adult and pediatric patients with newly diagnosed or progressive DIPG were considered in the clinical trial setting. The risk of bias was assessed using the ROBINS-I tool.

RESULTS

A total of 22 trials were included reporting the efficacy and safety outcomes among patients. First, five trials reported outcomes of blood-brain barrier bypass via single or repeated-dose intra-arterial therapy or convection-enhanced delivery. Second, external beam radiation regimens were assessed for safety and efficacy in three trials. Third, four trials administered intravenous treatment without using chemotherapeutic regimens. Fourth, eight trials reported the combinations of one or more chemotherapeutic agents. Fifth, immunotherapy was reported in two trials in an adjuvant monotherapy in the post-radiotherapy setting.

CONCLUSION

This research article captures a clinical picture of the last five years of the direction toward which DIPG research is heading. The article finds that re-irradiation may prolong survival in patients with progressive DIPG; it also instills that insofar palliative radiotherapy has been a key prognostic choice.

Latin American anaphylaxis registry

Background

Recent data about clinical features, triggers and management of anaphylaxis in Latin America is lacking.

Objective

To provide updated and extended data on anaphylaxis in this region.

Method

An online questionnaire was used, with 67 allergy units involved from 12 Latin-American countries and Spain. Among data recorded, demographic information, clinical features, severity, triggering agents, and treatment were received.

Results

Eight hundred and seventeen anaphylactic reactions were recorded. No difference in severity, regardless of pre-existing allergy or asthma history was found. Drug induced anaphylaxis (DIA) was most frequent (40.6%), followed by food induced anaphylaxis (FIA) (32.9%) and venom induced anaphylaxis (VIA) (12%). FIA and VIA were more common in children-adolescents. Non-steroidal anti-inflammatory drugs (NSAIDs) and beta-lactam antibiotics (BLA) were the most frequent drugs involved. Milk (61.1% of FIA) and egg (15.4% of FIA) in children, and shellfish (25.5% of FIA), fresh fruits (14.2% of FIA), and fish (11.3% of FIA) in adults were the most common FIA triggers. Fire ants were the most frequent insect triggers, and they induced more severe reactions than triggers of FIA and DIA (p < 0.0001). Epinephrine was used in 43.8% of anaphylaxis episodes. After Emergency Department treatment, epinephrine was prescribed to 13% of patients.

Conclusions

Drugs (NSAIDs and BLA), foods (milk and egg in children and shellfish, fruits and fish in adults) and fire ants were the most common inducers of anaphylaxis. Epinephrine was used in less than half of the episodes emphasizing the urgent need to improve dissemination and implementation of anaphylaxis guidelines.

Mean Temperature and Drought Projections in Central Africa: A Population-Based Study of Food Insecurity, Childhood Malnutrition and Mortality, and Infectious Disease

The Central African Region is an agricultural and fishing-based economy, with 40% of the population living in rural communities. The negative impacts of climate change have caused economic/health-related adverse impacts and food insecurity. This original article aims to research four key themes: (i) acute food insecurity (AFI); (ii) childhood malnutrition and mortality; (iii) infectious disease burden; and (iv) drought and mean temperature projections throughout the twenty-first century. Food insecurity was mapped in Central Africa based on the Integrated Food Security Phase Classification (IPC) for AFI. The global hunger index (GHI) was presented along with the proportion of children with undernourishment, stunting, wasting, and mortality. Data for infectious disease burden was computed by assessing the adjusted rate of change (AROC) of mortality due to diarrhea among children and the burden of death rates due to pneumonia across all age groups. Finally, the mean drought index was computed through the year 2100. This population-based study identifies high levels of hunger across a majority of the countries, with the mean drought index suggesting extreme ends of wet and dry days and an overall rise of 1-3 °C. This study is a source of evidence for stakeholders, policymakers, and the population residing in Central Africa.

The Evaluation of Inflammatory Biomarkers in Predicting Progression of Acute Pancreatitis to Pancreatic Necrosis: A Diagnostic Test Accuracy Review

Acute pancreatitis is the acute inflammation of the pancreas; 30% of cases may progress to pancreatic necrosis. The aim of this study was to assess the diagnostic accuracy of inflammatory biomarkers (C-reactive protein (CRP), procalcitonin (PCT), and lactate dehydrogenase (LDH)) in detecting pancreatic necrosis in adults with confirmed acute pancreatitis within 14 days of symptom onset and without organ failure. A systematic search was conducted across the Cumulative Index of Nursing and Allied Health (CINAHL), Cochrane, Embase, PubMed, and Web of Science until May 30, 2022, with the following keywords: acute disease, biomarkers, C-reactive protein, calcitonin, differential, diagnosis, lactate dehydrogenase, pancreatitis, acute necrotizing, necrosis, sensitivity, specificity. Statistical analysis was conducted in RevMan 5.4.1 (Cochrane). Five studies pooling 645 participants were included of which 59.8% were males, with a mean age of 49 years. CRP was the best cutoff at 279 mg/L (χ2 = 47.43, p < 0.001), followed by 200 mg/L (χ2 = 36.54, p < 0.001). LDH was cut off at 290 units/L (χ2 = 51.6, p < 0.001), whereas PCT did not display the most reliable results at 0.05 ng/mL. Inflammatory biomarkers are scalable diagnostic tools that may confer clinical value by decreasing the mortality of acute pancreatitis sequelae.

Donanemab for Alzheimer's Disease: A Systematic Review of Clinical Trials

Amyloid-β (Aβ) plaques and aggregated tau are two core mechanisms that contribute to the clinical deterioration of Alzheimer’s disease (AD). Recently, targeted-Aβ plaque reduction immunotherapies have been explored for their efficacy and safety as AD treatment. This systematic review critically reviews the latest evidence of Donanemab, a humanized antibody that targets the reduction in Aβ plaques, in AD patients. Comprehensive systematic search was conducted across PubMed/MEDLINE, CINAHL Plus, Web of Science, Cochrane, and Scopus. This study adhered to PRISMA Statement 2020 guidelines. Adult patients with Alzheimer’s disease being intervened with Donanemab compared to placebo or standard of care in the clinical trial setting were included. A total of 396 patients across four studies received either Donanemab or a placebo (228 and 168 participants, respectively). The Aβ-plaque reduction was found to be dependent upon baseline levels, such that lower baseline levels had complete amyloid clearance (<24.1 Centiloids). There was a slowing of overall tau levels accumulation as well as relatively reduced functional and cognitive decline noted on the Integrated Alzheimer’s Disease Rating Scale by 32% in the Donanemab arm. The safety of Donanemab was established with key adverse events related to Amyloid-Related Imaging Abnormalities (ARIA), ranging between 26.1 and 30.5% across the trials. There is preliminary support for delayed cognitive and functional decline with Donanemab among patients with mild-to-moderate AD. It remains unclear whether Donenameb extends therapeutic benefits that can modify and improve the clinical status of AD patients. Further trials can explore the interplay between Aβ-plaque reduction and toxic tau levels to derive meaningful clinical benefits in AD patients suffering from cognitive impairment.

The Allosteric Antagonist of the Sigma-2 Receptors-Elayta (CT1812) as a Therapeutic Candidate for Mild to Moderate Alzheimer's Disease: A Scoping Systematic Review

Nearly 35 million people worldwide live with Alzheimer's disease (AD). The prevalence of the disease is expected to rise two-fold by 2050. With only symptomatic treatment options available, it is essential to understand the developments and existing evidence that aims to target brain pathology and dementia outcomes. This scoping systematic review aimed to collate existing evidence of CT1812 for use in patients with AD and summarize the methodologies of ongoing trials. Adhering to PRISMA Statement 2020 guidelines, PubMed/MEDLINE, Embase, Cochrane, and ClinicalTrials.gov were systematically searched through up to 15 November 2022 by applying the following keywords: CT1812, Alzheimer's disease, dementia, and/or sigma-2 receptor. Three completed clinical trials were included along with three ongoing records of clinical trials. The three completed trials were in Phases I and II of testing. The sample size across all three trials was 135. CT1812 reached endpoints across the trials and obtained a maximum concentration in the cerebrospinal fluid with 97-98% receptor occupancy. The findings of this systematic review must be used with caution as the results, while mostly favorable so far, must be replicated in higher-powered, placebo-controlled Phase II-III trials.

Indicators of Climate Change, Geospatial and Analytical Mapping of Trends in India, Pakistan and Bangladesh: An Observational Study

The year 2022 has served as a recall for the impact that climate change has in the South Asian region, which is one of the most vulnerable regions to climate shock. With a paucity of climate-based and geospatial observational studies in South Asia, this paper (i) links power sectors and carbon dioxide emissions, (ii) maps nitrogen dioxide density across three countries (Pakistan, India, and Bangladesh), (iii) understands electricity generation trends and projects weather changes through 2100. We monitored data monitored between 1995 and 2021. The following databases were used: the International Energy Agency, the World Bank, the UN Food and Agricultural Organization. Raw data was obtained for climate indicators, which were entered into Microsoft Excel. Geospatial trends were generated in the ArcGIS geostatistical tool by adopting the ordinary kriging method to interpolate and create continuous surfaces depicting the concentration of nitrogen dioxide in the three countries. We found increased usage of coal and fossil fuels in three countries (Pakistan, India, and Bangladesh). Both were significant contributors to carbon dioxide emissions. The geographic localities in South Asia were densely clouded with nitrogen dioxide as reported with the tropospheric column mapping. There are expected to be increased days with a heat index >35 °C, and consecutive dry days from 2020 and 2100. We also found increased chances of flooding in certain regions across the three countries. This study monitored climate change indicators and projects between 1995 and 2100. Lastly, we make recommendations to improve the relationship of the environment and living beings.

Local Tranexamic Acid for Preventing Hemorrhage in Anticoagulated Patients Undergoing Dental and Minor Oral Procedures: A Systematic Review and Meta-Analysis

Dental procedures have posed challenges in managing anticoagulated patients due to early reports of oral hemorrhage. This study aims to evaluate the risks of postoperative bleeding with the local application of tranexamic acid. A systematic search was conducted until 31 March 2022, with keywords including tranexamic acid, oral hemorrhage, dental, and/or coagulation. The following databases were searched: PubMed, Scopus, Web of Science, CINAHL Plus, and Cochrane Library. Statistical analysis was conducted using Review Manager 5.4. In total, 430 patients were pooled in with the local application of tranexamic acid using mouthwash, irrigation, and compression with a gauze/gauze pad. The mean age was 61.8 years in the intervention group and 58.7 in the control group. Only 4 patients in the intervened group out of the 210 discontinued the trial due to non-drug-related adverse events. The risk difference was computed as -0.07 (p = 0.05), meaning that patients administered with local antifibrinolytic therapy for postoperative bleeding reduction for dental procedures were at a 7% less risk of oral bleeding. Current evidence on managing anticoagulated patients undergoing dental or oral procedures remains unclear. The present study presents favorable outcomes of postoperative bleeding with local tranexamic acid used in the postoperative period.

SGLT2 Inhibitors in Acute Heart Failure: A Meta-Analysis of Randomized Controlled Trials

Acute heart failure (AHF) is a major public health concern, affecting 26 million worldwide. Sodium-glucose cotransporter 2 (SGLT2) inhibitors are a class of glucose-lowering drugs, comprising canagliflozin, dapagliflozin, and empagliflozin that are being explored for AHF. We aim to meta-analyze the effectiveness of SGLT2 inhibitors compared to placebo for primary outcomes including all-cause and cardiovascular mortality, heart failure events, symptomatic improvement, and readmissions. Our secondary outcome is the risk of serious adverse events. This meta-analysis has been designed in accordance with the PRISMA Statement 2020. A systematic search across PubMed, Scopus, and Cochrane Library was conducted through August 13, 2022. The following keywords were utilized: sglt2, sodium-glucose transporter 2 inhibitors, sglt2 inhibitors, decompensated heart failure, de-novo heart failure, and/or acute heart failure. Only randomized controlled trials (RCTs) with adult patients (>18 years), hospitalized with de-novo AHF, acutely decompensated chronic heart failure with reduced, borderline, or preserved ejection, and receiving SGLT2 inhibitors were included. A quantitative analytical methodology was applied where the standardized mean difference (SMD) applying 95% confidence intervals (CI) for continuous outcomes and risk ratio (RR) with 95% CI was yielded. All tests were carried out on Review Manager 5.4 (Cochrane). In total, three RCTs were included pooling in a total of 1831 patients where 49.9% received SGLT2 inhibitors. The mean age was 72.9 years in the interventional group compared to 70.6 years in the placebo. Only 33.7% of the sample was female. The follow-up spanned 2−9 months. Heart failure events were reduced by 62% in the interventional group (RR = 0.66, p < 0.0001). readmissions had a reduced risk of 24% with SGLT2 inhibitors (RR = 0.76, p = 0.03). We assessed the efficacy and safety of SGLT2 inhibitors in preventing complications post-AHF. The odds of all-cause mortality, cardiovascular mortality, heart failure events, and re-admissions rates were substantially reduced within the first 1−9 months of hospitalization.

The Allergic Rhinitis and Its Impact on Asthma (ARIA) Approach of Value-Added Medicines: As-Needed Treatment in Allergic Rhinitis

Drug repurposing is a major field of value-added medicine. It involves investigating and evaluating existing drugs for new therapeutic purposes that address unmet healthcare needs. Several unmet needs in allergic rhinitis could be improved by drug repurposing. This could be game-changing for disease management. Current medications for allergic rhinitis are centered on continuous long-term treatment, and medication registration is based on randomized controlled trials carried out for a minimum of 14 days with adherence of 70% or greater. A new way of treating allergic rhinitis is to propose as-needed treatment depending on symptoms, rather than classical continuous treatment. This rostrum will discuss existing clinical trials on as-needed treatment for allergic rhinitis and real-world data obtained by the mobile health app MASK-air, which focuses on digitally-enabled, patient-centered care pathways.

A Systematic Review of Internet of Things in Clinical Laboratories: Opportunities, Advantages, and Challenges

The Internet of Things (IoT) is the network of physical objects embedded with sensors, software, electronics, and online connectivity systems. This study explores the role of IoT in clinical laboratory processes; this systematic review was conducted adhering to the PRISMA Statement 2020 guidelines. We included IoT models and applications across preanalytical, analytical, and postanalytical laboratory processes. PubMed, Cochrane Central, CINAHL Plus, Scopus, IEEE, and A.C.M. Digital library were searched between August 2015 to August 2022; the data were tabulated. Cohen's coefficient of agreement was calculated to quantify inter-reviewer agreements; a total of 18 studies were included with Cohen's coefficient computed to be 0.91. The included studies were divided into three classifications based on availability, including preanalytical, analytical, and postanalytical. The majority (77.8%) of the studies were real-tested. Communication-based approaches were the most common (83.3%), followed by application-based approaches (44.4%) and sensor-based approaches (33.3%) among the included studies. Open issues and challenges across the included studies included scalability, costs and energy consumption, interoperability, privacy and security, and performance issues. In this study, we identified, classified, and evaluated IoT applicability in clinical laboratory systems. This study presents pertinent findings for IoT development across clinical laboratory systems, for which it is essential that more rigorous and efficient testing and studies be conducted in the future.

Vaping and smokeless tobacco control in South Asia: A policy review

High prevalence of tobacco use is seen in low- and middle-income countries (LMIC). In the recent years, tobacco users have switched to alternatives falling under the framework of electronic nicotine delivery systems (ENDS). This review provides an overview of tobacco control-related policies in Bangladesh, India, and Pakistan, and suggested recommendations to bridge this gap to address Tobacco-free Nations. This paper's findings are relevant for developing countries worldwide that have a high tobacco-related health burden, a complex landscape of use, and inadequate resources to offer tobacco cessation and smokeless tobacco control.

Attitudes towards depression of Argentinian, Chilean, and Venezuelan healthcare professionals using the Spanish validated version of the revised depression attitude questionnaire (SR-DAQ)

Background

The beliefs and attitudes of physicians toward depression may predict whether they are supportive or avoidant of patients diagnosed with this condition. Describing the attitudes toward depression of Argentinian, Chilean, and Venezuelan healthcare professionals could be a valuable tool for understanding the Latin American perspective on depression recognition, management, and prevention.

Materials and methods

A cross-sectional study was conducted among healthcare professionals in Argentina, Chile, and Venezuela using the Spanish validated version of the revised depression attitude questionnaire (R-DAQ). The questionnaire was collected online from August to November 2021, in a quota-based sample of 1759 health professionals (the final analytical sample is 1234). Descriptive data analyses were performed using STATA version 16 statistical software.

Results

Depression was considered a disease that anyone could suffer by 90% of the respondents. However, 70% of professionals answered that they feel more comfortable dealing with physical illness than mental illness. Furthermore, the findings show that a quarter of the participants in the study believed that either medical treatment (28.6%) or psychosocial approach (<20%) were ineffective tools for people suffering from depression. Findings also show that depression is seen as a more natural part of life by Argentinian professionals and men. Finally, psychologists and psychiatrists are most likely to treat depression as any other physical disease. Medical providers who routinely perform surgeries are not as likely to know how to treat depression or consider it an actual disease.

Conclusions

Healthcare professionals in Argentina, Chile, and Venezuela have varying attitudes toward depression. While they recognize depression as a disease on the same level as other physical diseases, most do not know how to treat it. The findings point to the need for these countries to promote the training of healthcare workers in areas such as depression diagnosis, treatment, and social interventions.

Contributing factors to pediatric COVID-19 and MIS-C during the initial waves: A systematic review of 92 case reports

Background

As the coronavirus disease 2019 (COVID-19) pandemic continues to sweep the world with unprecedented speed and devastation, data has shown that cases in the pediatric population have been significantly lower than in the adult population. We conducted a systematic review of case reports to identify the contributing factors of confirmed pediatric COVID-19 patients.

Methods

Using the PubMed platform, and Cochrane Central, we searched for primary studies alone. All database searches were performed between December 2019 and December 2020. We incorporated keywords including "pediatrics," "Case reports," "Cases," "Covid-19″ into all searches.

Results

A total of 92 records were included in this novel review. Of all patients, 58% were male and the mean age of the patients was 6.2 years (SD: 5.9). Contributing factors to MIS-C infections were G6PD deficiency (17.6%), Group A streptococcus co-infection (17.6%), infancy (11.8%), whereas those in COVID-19 pediatric patients included congenital (18.5%), and genetic defects (13.8%), in addition to vertical transmission or during infancy (16.9%). Data of baseline demographic characteristics and clinical sequelae of included COVID-19 pediatric and MIS-C patients is presented.

Conclusion

With schools reopening and closing, the pediatric age group is susceptible to high rates of COVID-19 community transmission. We provide insights into potential contributing factors to pediatric COVID-19 and MIS-C patients. These insights are critical to guide future guidelines on the management and potential vaccination efforts.

Challenges in the Management of Post-COVID-19 Pulmonary Fibrosis for the Latin American Population

This commentary aims to highlight some of the major issues (with possible solutions) that the Latin American region is currently dealing with in managing post-COVID-19 pulmonary fibrosis. Overall, there is little evidence for successful long-term COVID-19 follow-up treatment. The lack of knowledge regarding proper treatment is exacerbated in Latin America by a general lack of resources devoted to healthcare, and a lack of availability and access to multidisciplinary teams. The discussion suggests that better infrastructure (primarily multicenter cohorts of COVID-19 survivors) and well-designed studies are required to develop scientific knowledge to improve treatment for the increasing prevalence of pulmonary fibrosis in Latin America.

Social contributors for the rise of COVID-19 infections in South Asia: A large cross-sectional survey

Background

The ongoing global coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was first reported in South Asia on 30^th January 2020 in India. Ever since, certain countries have witnessed multiple waves of COVID-19, requiring attention by public health experts and strategists in the region. The objectives of this study are to assess social contributors to the recurrent waves of COVID-19 in South Asia including first demographic traits, second household characteristics and social measures, third workplace trends and personal protective equipment use, and fourth satisfaction and attitudes concerning public health measures and vaccination status. The study also aims to plan for control strategies focusing on India, Pakistan, Bangladesh, Sri Lanka, and Nepal, countries with the highest burden of COVID-19 in South Asia.

Methods

A population-based large cross-sectional study was conducted from 1st July to August 10th, 2021 using online mediums. The survey consisted of 31 questions divided into sociodemographic and COVID-19 status information, household characteristics and social measures, workplace trends and personal protective measures, satisfaction and attitudes towards public health measures, and vaccination status. Bivariate, receiver operating characteristic (ROC) analysis, and the Kruskal Wallis test was conducted for factors associated to COVID-19 infection and positive vaccination status.

Findings

We enrolled 1046 participants with 57.1% females and 41.8% males, comprising 48.9% healthcare workers. Statistically significant associations were found using ANOVA based on the Kruskal-Wallis test for differences between thoughts towards public health authorities implementing standard operating procedures (SOPs) and HCW status were statistically significant (P = 0.002). The most important social predictors for positive vaccination status based on the ROC analysis were gender (P < 0.001), job role (P < 0.001), income group (P < 0.001), healthcare worker status (P < 0.001), household member tested positive (P = 0.007), personal vehicle ownership (P < 0.001), job requiring close contacts (P < 0.001) and co-worker masking habits (P = 0.02).

Conclusions

Public health experts and strategists are required to focus control strategies on political and religious gatherings, reopening offices, noncompliance of SOPs by the masses, and crowded commuting to limit the reemergence of COVID-19 infections in countries with the highest burden in the region.

•

The COVID-19 pandemic has spread across the South Asian region.

•

Some countries such as Nepal and India amid others witnessed multiple deadly waves of the pandemic.

•

This large cross-sectional survey assesses the social contributors to the rise of COVID-19 in South Asia.

•

We assess demographic, social, workplaces, and personal trends.

•

Various countries have employed public health restrictions to mitigate the spread of COVID-19.

•

We contribute to public health surveillance data essential to make pivotal shifts in social policies and practice.

Impact of biosecurity measures, social pressure and bullying on attitudes, perceptions, and job satisfaction levels among healthcare workers during the COVID-19 pandemic: a cross-sectional survey

INTRODUCTION

The extent and nature of social pressure and bullying towards healthcare workers (HCWs) during the COVID-19 remains unclear. The following study identifies the effect of social pressure and bullying directed towards HCWs when using biosecurity measures during the COVID-19 pandemic; further, the impact on perceptions, attitudes and job satisfaction level is also explored.

METHODOLOGY

We conducted a cross-sectional survey-based study among 684 Ecuadorian HCWs. The survey consisted of 38 questions related to the frequency, attitudes, and perceptions of biosecurity measures during the COVID-19 pandemic. Exploratory factor analysis was performed to assess the validity of the questionnaire. Associations between variables were analysed using χ² and Fisher's exact test. Using SPSS V.25, qualitative and quantitative data were analysed.

RESULTS

Of the 684 participants, 175 (25.59%) experienced or felt bullying or social pressure during the COVID-19 pandemic associated with the use of biosecurity measures. Of these, 40.6% believed it was due to an imbalance of power in the workplace. The perception that HCWs wearing personal protective equipment resulting in bullying was noted in 12% of the respondents. Job satisfaction was positive among 73% of the respondents. Gender (female) and type of institution (public) were noted to contribute towards job satisfaction and bullying experiences.

CONCLUSION

Exposure to social bullying and pressure due to the use of biosecurity measures during the COVID-19 pandemic may result in reduced job satisfaction and thoughts about quitting work.