Brijroy Viswanathan*, Adnan Al Sayed, Lina Habboub, Meera Al Mohannadi, Lolwa Alobaidan and Muneera Abdulmohsin
Published on: 27th December, 2023
Background: Neonatal hypoglycemia is known to cause significant neuronal damage and poor neurodevelopmental outcomes. Consensus guidelines are lacking for the management of persistent neonatal hypoglycemia and hyperinsulinism which often requires high concentrations of dextrose and medications. Although used in the pediatric population with persistent hypoglycemia, only a few case reports are published regarding the use of Maltodextrin supplementation in persistent neonatal hypoglycemia due to transient hyperinsulinism. Objective: To audit the use of Maltodextrins in the management of persistent neonatal hypoglycemia due to transient hyperinsulinism in neonates. Audit design: A retrospective chart review (CERNER electronic data) of all cases with persistent neonatal hypoglycemia who received Maltodextrin supplementation for a period of 3½ years between July 2018 and December 2021. Results: A total of 18 neonates received Maltodextrin supplementation for neonatal hypoglycemia during the audit period. 16/18 (89%) neonates who received Maltodextrin supplementation were weaned off from intravenous dextrose within 1 week without major side effects or severe rebound hypoglycemia. Two out of 18 babies who received Maltodextrin needed Diazoxide supplementation for persistent hypoglycemia. Conclusion: The results of our audit are promising, yet further research and randomized controlled studies are needed to systematically evaluate the findings of this audit regarding Maltodextrin supplementation for the management of neonatal hypoglycemia with transient hyperinsulinism.
Light is not only a primary energy source, but it is also one of the environmental factors that affect plant growth and development. Common bean (Phaseolus vulgaris L.) is commonly produced in association with maize as subordinate intercrops in the Sidama region. Under such a production system, the shade effect may limit the photosynthetic and nitrogen-fixing capacity of common beans. The objective of the current study was to assess how inoculation and shade affect the ability to fix nitrogen and yield components of common beans. Three common bean varieties (Hawassa dume, Nassir, and Ibbado), two shade levels (open and 25% shade) as well as two levels of inoculation (uninoculated and inoculated) were used for these purposes. The experiment was set up in factorial randomized complete block design (RCBD) in four replications. In this experiment, Rhizobium inoculation and shade significantly (p < 0.05) affected the number of pods plant-1 and the number of seeds pod-1. The inoculated treatment produced the maximum number of pods plant-1 (14.02) and the lowest number of pods plant-1 (10.95) was obtained from uninoculated treatments. The results also showed that the inoculated Hawassa dume variety from the open treatments derived the maximum percentage of N from N2 fixation, whereas the non-inoculated Ibbado variety from the 25% shade treatments derived the lowest percentage of N. Common bean grown on full light had significantly greater N content than shade.
One of the most important emerging pollutants is pharmaceutical active compounds, which may be responsible, for example, for ecotoxicological changes and microbiological resistance. Wastewater treatment plants are not adequately equipped to remove all of the emerging pollutants contained in the wastewater. The ultrafiltration process has been proven to be effective in traditional wastewater treatment, so it is important to assess the performance of such a technique in the partial elimination of pharmaceutical compounds to avoid contamination. In this work, an assessment of ultrafiltration process operating conditions for eliminating six pharmaceutical compounds: Ibuprofen, Acetaminophen, Naproxen, Diclofenac, Caffeine, and trimethoprim, present in different types of water is performed. Experimental design is a systematic and structured approach to conducting experiments, and its application can significantly improve the study of membrane technology, reducing the number of assays necessary to obtain meaningful results. The statistical principles application ensures that the results obtained are reliable and representative of the true effects of the variables being studied. Its application helps to obtain valid conclusions from the data and provides a solid basis for making decisions or recommendations regarding the tests and variables to take into account. Membrane processes can involve complex interactions between several factors. Experimental design helps to identify and understand these interactions, allowing researchers to discern the combined effects of different variables. This is crucial to accurately predict and optimize membrane performance.In this work, ANOVA analysis has been carried out in order to determine the influence of membrane cut-off, solution pH, and feed concentration, as well as their interactions, in permeate flux and the rejection index. The results obtained show similar behavior for Ibuprofen, Naproxen, Diclofenac, and Trimethoprim, being the pH the most important factor. However, no significant factors were found for the acetaminophen and the Caffeine.
Castaños Claudio*, Salin Maximiliano Felix, Pereyra Carla Luciana, Aguerre Veronica, Lucero Maria Belen, Bauer Gabriela, Zylbersztajn Brenda, Leviled Leonor and Gonzalez Pena Hebe
Published on: 28th February, 2024
Introduction: Acute lower respiratory infection (ALRI) of viral etiology is a frequent consultation in pediatrics. Post-infectious bronchiolitis obliterans (PIBO) is a rare and potentially severe disorder following ALRI, characterized by partial or complete obstruction of the small airways by inflammatory tissue. There is evidence that macrolides reduce morbidity and mortality in diffuse panbronchiolitis, which may have similar inflammatory and obstructive components.We hypothesized that the effect of azithromycin (AZ) may improve lung function and reduce pulmonary exacerbations in PIBO.MethodsStudy design: A double-blind, randomized, placebo-controlled trial.Patients: We enrolled patients with PIBO followed-up at the Pulmonology department between 5 years to 18 years.Treatment regimen: The patients were randomized to receive active drug or placebo three times a week. Clinical evaluation: Clinical evaluation, pulse oximetry, lung function, and 6-min walk test were performed before and after study initiation and at 1, 3, and 6 months.CT scan and a quality of life questionnaire were performed at the beginning and the end of the Study.Results: 29 patients, 15 in G1 (10 males) and 14 in G2 (7 males) were included.There were no significant differences in FVC, FEV1, TLC, RV, or sGaw between the treatment group and controls. In addition, no significant differences were observed in exacerbations, quality of life questionnaire, or HRCT scan scores.Conclusion: No differences were observed between the groups. Further studies are necessary to allow us to find a better treatment, as azithromycin does not seem to be efficacious.
Changyan Ju, Chengbosen Zhou, Zhezhi Deng, Jingwei Gao, Weizhao Jiang, Hanbing Zeng, Haiwei Huang, Yongxiang Duan and David X Deng*
Published on: 12th March, 2024
Introduction: The current gold standard for SARS-CoV-2 diagnosis by real-time RT-PCR has limitations of gene numbers that can be detected. In this study, we developed a low-cost and high-throughput next-generation sequencing technology that can overcome the limitations of RT-PCR. Methodology: A targeted sequencing panel (TSP) consisting of approximately 500 amplicons was designed that can simultaneously detect a broad range of gene loci of SARS-CoV-2 and genes for the most common viruses of respiratory infectious viruses in a single run of up to 96 samples. 448 samples and 31 control samples were examined independently with both TSP and RT-PCR, results were compared for accuracy and other indicators. Results: TSP identified 50 SARS-CoV-2 positive samples with a 99.33% match to RT-PCR results. It is not surprising that TSP also identified multiple viral infections from 96 samples, whereas RT-PCR could not. TSP demonstrated its ability to conclude diagnosis for those undecided from RT-PCR tests. Conclusion: Our data demonstrated that TSP is a fast and accurate test for detecting multiple pathogen infections of the respiratory tract.
The aging global population requires a new social model to meet the growing social, economic, and physical needs of seniors. Western social models need to be reconsidered in light of examples that support communal ways of living, which are sustainable through smart city design for more supportive geriatric care systems. To address the complex problems of geriatric care in this growing aging population with specific needs related to increased lifespan and limited financial resources, the use of emerging technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), should be considered. As retirement ages rise and funds for retirement continue to decrease automated and sustainable solutions need to be sought. The ethical need to consider citizens not as customers but as decision-makers and to validate the ethical nature of medical decisions made for and by individuals should also be prioritized. This study provides recommendations for a smart city design and highlights the need for reflection on the ethics, modernization, and management of geriatric care. It suggests that technological devices can benefit health system reform by facilitating problem-solving. Overall, this new model integrates communal living and non-Western values with emerging technologies to address the growing need for geriatric care and the well-being of seniors.
Cells have emerged as highly promising vehicles for delivering drugs due to their unique advantages. They have the ability to bypass immune recognition, navigate biological barriers, and reach difficult-to-access tissues through sensing and active movement. Over the past couple of decades, extensive research has been conducted to understand how cell carriers can overcome biological barriers and influence drug effectiveness. This has resulted in the development of engineered cells for targeted drug delivery to specific tissues. Despite the presence of exciting developments, a comprehensive understanding of the challenges and potential strategies is necessary for the effective clinical application of cell-based drug carriers. This review provides an overview of recent progress and novel concepts in cell-based drug carriers, as well as their potential for translation into clinical practice. Additionally, we delve into important factors and emerging strategies for designing the next generation of cell-based delivery technologies, with a particular emphasis on achieving greater accuracy and targeted drug administration.
Ade-Ojo Idowu Pius*, Okunola Temitope Omoladun and Olaogun Dominic Oluwole
Published on: 3rd April, 2024
Purpose: The role of healthcare workers in cervical cancer prevention is pivotal because healthcare workers’ recommendations have been reported to be a key motivational factor for cervical cancer screening among women in Nigeria. Assessing their knowledge, attitudes, and practices on cervical cancer prevention is necessary.Patients and methods: This is a cross-sectional survey involving healthcare workers in Ekiti State, Nigeria. A questionnaire designed for the study was used to obtain data about the knowledge, attitudes, and practices of the healthcare workers. Logistic regression was used to assess the determinants of practice and a p - value of less than 0.05 was taken as statistically significant.Results: Out of 188 participants that completed the study, 165(90.7%) had good knowledge about the prevention of cervical cancer while 24(13.2%) had good practice concerning the prevention of cervical cancer. positive attitude (Odds ratio 1.24, 95% CI 1.14 - 1.35, p < 0.001) increased the odds of good practice.Conclusion: There was no association between the knowledge of cervical cancer prevention and the practice of the healthcare workers. Further research is required to explore the incongruence between knowledge and practice of cervical cancer prevention and its practice.
Betcy George*, Susan Mathai, Ansha Mol Shaji, Christy Elsa Abraham and Jisna Johnson
Published on: 9th April, 2024
Aim: A descriptive-analytical study was done to assess the proportion of the risk of stroke among male patients attending the outpatient department of a tertiary care hospital, in Ernakulam District, Kerala. Objectives: The objectives of the study were to assess the proportion of the risk of stroke among male patients attending outpatient departments and to determine the association of stroke risk level with socio-personal variables. Methods: The research approach of the study is a quantitative approach. The research design selected for the study is a descriptive-analytical design. The convenience sampling method was used for sample selection. The study was done in MOSC Medical College Hospital, Kolenchery among 288 male patients who met the inclusion criteria. Data collection was done using socio-personal proforma and stroke risk scorecards. Results: Collected data were analysed by using descriptive and inferential statistics presented in tables and pie diagrams. The study findings revealed that out of 288 subjects, 43.4% have low stroke risk, 13.9% are in caution and 42.7% have high stroke risk. The findings also revealed that there is a significant association of stroke risk level with age, education, occupation, BMI and place of residence. Statement of the problem: Proportion of risk of stroke among male patients attending outpatient department of a tertiary care hospital, Ernakulam district, Kerala. Proportion of risk of stroke among male patients attending outpatient department of a tertiary care hospital, Ernakulam district, Kerala.
Introduction: Hypoglycemia affects patient safety and glycemic control during insulin treatment of both type 1 (T1DM) and type 2 diabetes mellitus (T2DM). It is still a major clinical problem in the treatment of type 1 diabetes that impairs metabolic control. This study aimed to assess hypoglycemia and associated factors among type 1 diabetes mellitus patients attending the outpatient clinics of Debra–Tabor Comprehensive and Specialized Hospital, in 2021.Method: institutional-based cross-sectional study design was conducted among 204 selected type I DM, from June 1/2021 to August 30/2021. The study participants were selected by systematic sampling method from monthly follow-up lists and lists of registration. Data were cleaned and entered into Epi Data and then exported into SPSS version 20 for analysis. Data were presented with texts, graphs, diagrams, and tables but an analytic form of findings will be presented by text form of the odds ratio. Bivariable and multivariable binary logistic regression models were fitted to identify factors associated with hypoglycemia p – value < 0.05 was considered statistically significant and reported as a 95% confidence interval (CI).Results: A total of 204 participants participated with a response rate of 100%, and prevalence of self-reported hypoglycemia was 88.7% (95%, CI: 83.8-92.6) and the prevalence of hypoglycemia was significantly associated with occupation [AOR: 4.01 (95% CI:1.86-9.35)], higher educational status [AOR: 2.13 (95% CI:1.92-13.15)], diabetic duration < 1 [AOR: 3.80 (95% CI:1.32-9.28)], poor knowledge [AOR: 4.91 (95% CI:1.09-11.06)] and favorable attitude [AOR: 5.86 (1.10-6.07)]. The current study revealed that the knowledge, attitude, and practice of respondents were 81.9% (95%, CI, 76-86.8), 73% (95% CI, 66.7-78.9), and 91.2% (95% CI, 86.8-94.6) respectively.Conclusion and recommendation: Hypoglycemia was highly prevalent among diabetic patients treated at Debra-Tabor Comprehensive and Specialized Referral Hospital. To reduce the higher prevalence of hypoglycemia the health professionals working in the hospital had better provide appropriate patient advice about, BGL monitoring, medication adherence, self-injection as well as oral hypoglycemic agent administrations.
Joseph Kuufaakang Kuunibe, Felix Apiribu, Timothy Tienbia Laari*, Gideon Awenabisa Atanuriba, Veronica Millicent Dzomeku, Victoria Bubunyo Bam, Abigail Kusi-Amponsah Diji, Adwoa Bemah Boamah Mensah, Philemon Adoliwine Amooba, Rumana Saeed Mohammed and E
Published on: 16th April, 2024
The burden of sexually transmitted infections (STIs) continues to increase with over one million curable STIs occurring daily worldwide. Sex disparity in the rates of testing for STIs can compromise the efforts to reduce the incidence of STIs. The study aimed to explore the barriers to facility-based screening for STIs among men in Ghana. A qualitative exploratory design was employed in this study. Using a semi-structured interview guide, individual in-depth interviews were conducted among purposively sampled men from November 2019 to January 2020. Data saturation was achieved at the ninth participant. Audio-recorded interviews were transcribed verbatim and analysed thematically through Braun and Clarke’s approach. Four themes emerged from the analyses: (1) lack of privacy from healthcare providers, (2) mistrust of healthcare providers, (3) the burden of handling thoughts of positive status, and (4) fear of stigmatisation. These barriers deterred men from seeking clinic-based screening for STIs. The barriers were multi-factorial and a major hindrance to ensuring that people are aware of their STI status through screening and diagnosis. It is imperative to consider these barriers when designing STI screening interventions and policies to help promote facility-based screening for STIs among men in Ghana.
Artificial Intelligence (AI) combined with Synthetic Biology has the potential to change the way we approach medicine, agriculture, and manufacturing. AI automates tasks, optimizes experimental designs, and predicts biological behaviours, resulting in more efficient design and engineering of biological systems. However, there are challenges such as data limitations, interpretability issues, and ethical considerations like biosafety and biosecurity concerns that need to be addressed. AI can be used to analyze vast amounts of data and identify patterns. This has led to successful applications of AI in high-throughput screening and biomanufacturing, which can drive innovation and address critical challenges. AI-powered closed-loop systems for real-time monitoring and control of biological processes also show promise in providing real-time feedback and optimizing systems on the fly. Despite these advancements, it's important to consider ethical implications to ensure the responsible development and application of AI in synthetic biology. Proper consideration of challenges and ethical considerations can help leverage the power of AI to drive innovation and tackle pressing societal challenges. Overall, the potential of AI in synthetic biology is significant. By addressing challenges and ethical considerations, we can use them effectively to solve pressing problems.
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