Management Of Infectious Diseases Research Articles

Evaluation of the Diversities in the Inflammatory Responses in Cats With Bacterial and Viral Infections.

Understanding the nature of inflammatory responses in cats with bacterial and viral infections is essential for accurately managing the infection. This study aimed to investigate the diversities of inflammatory responses between bacterial and viral infections in cats to figure out their role in the pathophysiology of these infections. Seventy-five owned cats were included in the study. The evaluations were performed based on three groups: healthy control, bacterial infection group (those with bronchopneumonia and gastrointestinal tract and urinary tract infections) and viral infection group (21 with feline coronavirus [FCoV], 3 with feline leukaemia virus [FeLV] and 1 with feline calicivirus), each containing 25 individuals. Total and differential leukocyte counts, C-reactive protein (CRP), transforming growth factor beta (TGF-β), interleukin-6 (IL-6), tumour necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β) and interleukin-10 (IL-10) concentrations were assessed in the blood samples collected from sick and healthy animals. No statistically significant difference was noted in serum TNF-α, IL-1β and IL-10 concentrations of the infected cats (p=0.996, p=0.160 and p=0.930, respectively). Serum TGF-β concentration in the viral infection group was reduced compared to the healthy control (p=0.001). In contrast, WBC count and IL-6 and CRP concentrations were increased in the cats with bronchopneumonia, gastrointestinal tract infections and urinary tract infections compared to the healthy control and viral infection groups (p=0.001, p=0.001 and p=0.001, respectively). This study revealed significant differences between bacterial and viral infections regarding the fashion of inflammatory responses in cats, and the relevant data will undoubtedly contribute to the management and control of feline infectious diseases, rendering the development of novel therapeutic strategies.

ADVANCED PREDICTIVE MODELING FOR THE BIOFIRE FILMARRAY SYSTEM IN INFECTIOUS DISEASE DIAGNOSTICS

The Bio Fire Film Array System has emerged as a powerful tool in clinical diagnostics, offering rapid and multiplexed detection of infectious pathogens. This study presents the development of a comprehensive mathematical model aimed at predicting the accuracy and sensitivity of the BioFire FilmArray System under diverse conditions. Key factors such as sample type, pathogen load, specimen characteristics, and environmental variables were systematically analyzed to elucidate their impact on the system's performance. The model incorporates a range of parameters including sample volume, specimen complexity, microbial diversity, and system-specific variables to generate probabilistic estimates of diagnostic outcomes. By leveraging large datasets encompassing diverse clinical scenarios and pathogen profiles, the model achieves robustness and generalizability, thereby facilitating its applicability across different healthcare settings and populations. Validation of the model against independent datasets demonstrates its efficacy in accurately predicting the performance of the BioFire FilmArray System across a spectrum of conditions. Overall, this mathematical model represents a significant advancement in optimizing the utility of the BioFire FilmArray System for infectious disease diagnosis. Its integration into clinical practice holds promise for improving patient care, guiding sample processing protocols, and informing decision-making processes in infectious disease management.

Numerical Simulation of SEIR Model for COVID-19 Infection

One of the most basic models in epidemiology, the SEIR (Susceptible-Exposed-Infectious-Recovered) model explains how viral infections spread through communities. This study analyzes the SEIR model's differential equations to learn more about its dynamic behaviors. This study discusses the 2019 corona virus disease (COVID-19) epidemic model using numerical methods of susceptible exposed infected recovered (SEIR). A numerical description of the notion is provided using two numerical approaches, including forward Euler and RK-4 approaches. The subplots of SEIR model are drawn by ode 45 commands. The stability of disease free equilibrium and Endemic equilibrium points are depicted. The significance of comprehending the interaction between epidemiological variables and population dynamics in developing efficient public health treatments is brought to light in this study, which investigates the consequences of these equations on the transmission and management of infectious diseases. Insights into the dynamics of illness transmission and potential measures for mitigating its effects are presented through the use of mathematical analysis and computational simulations. Jagannath University Journal of Science, Volume 11, Number 1, June 2024, pp. 172−185

Social and Environmental Benefits of Pediatric Infectious Disease Telemedicine.

We provided safe, effective pediatric infectious disease management through telemedicine over a 3.5-year period, saving patients over 31 000 vehicular travel miles. Telemedicine has potential to decrease indirect patient costs while sustainably increasing access to subspecialty care.

Prevention and management of infectious and tropical diseases in kidney transplant recipients residing in European outermost and overseas territories.

The European Union encompasses 30 outermost and overseas countries and territories (OCTs). Despite a recent increasing activity of renal transplantation in these territories, many patients still undergo transplantation in continental Europe, with follow-up care coordinated between health professionals from both their transplant center and their home region. Each territory has its unique infectious epidemiology which must be known to ensure appropriate care for kidney transplant recipients (KTRs). This paper proposes a pragmatic approach to optimize pre-transplant check-up and to provide an overview of the specific epidemiological features of each region. It offers practical algorithms to help practitioners in managing infected KTR living in these territories. This work advocates for increased collaborative research among European OCTs.

Indole Derivatives: A Versatile Scaffold in Modern Drug Discovery-An Updated Review on Their Multifaceted Therapeutic Applications (2020-2024).

Indole derivatives have become an important class of compounds in medicinal chemistry, recognized for their wide-ranging biological activities and therapeutic potential. This review provides a comprehensive overview of recent advances in the evaluation of indole-based compounds in the last five years, highlighting their roles in cancer treatment, infectious disease management, anti-inflammatory therapies, metabolic disorder interventions, and neurodegenerative disease management. Indole derivatives have shown significant efficacy in targeting diverse biological pathways, making them valuable scaffolds in designing new drugs. Notably, these compounds have demonstrated the ability to combat drug-resistant cancer cells and pathogens, a significant breakthrough in the field, and offer promising therapeutic options for chronic diseases such as diabetes and hypertension. By summarizing recent key findings and exploring the underlying biological mechanisms, this review underscores the potential of indole derivatives in addressing major healthcare challenges, thereby instilling hope and optimism in the field of modern medicine.

Sepsis associated acute kidney injury is common among Aboriginal and Torres Strait Islanders with septic shock and has poor outcomes: A nested cohort study.

Exploration of the incidence and outcomes of Acute Kidney Injury (AKI) broadly, and sepsis associated AKI specifically, in Aboriginal and Torres Strait Islander (First Nations) people has been limited. We compared a nested cohort of First Nations people drawn from a multinational randomised controlled trial of hydrocortisone in septic shock, to a cohort matched for age, sex and severity of illness. Acute Kidney Injury was defined using the Kidney Disease Improving Global Outcomes (KDIGO) criteria, as well as incident use of kidney replacement therapy (KRT). Major Adverse Kidney Events (MAKE) were described as the composite of death, new dialysis requirement or persisting kidney dysfunction at hospital discharge. A cohort of 57 Aboriginal and/or Torres Strait Islander patients with septic shock was identified. 91.2% (52) of the First Nations cohort met KDIGO criteria for Stage 1 AKI or greater and 63% (36) met Stage 3 criteria. 59.6% (34) of the First Nations required dialysis as compared to 45.6% (26) in the matched cohort. 60.7% (34) of First Nations participants met criteria for MAKE at hospital discharge. The proportions requiring dialysis at 6, 12 and 24 months were 8.3%, 9.1% and 6.9% respectively. The incidences of AKI and MAKE reported in this First Nations cohort are substantially higher than in previously published cohorts of patients with sepsis, even those that use sensitive definitions of AKI. Measures to promote better management of infectious diseases in First Nations communities are required.

An Efficient Transfer Learning-Based Framework for Health Care Application

Deep learning has revolutionized healthcare applications, particularly in the diagnosis, treatment, and management of infectious diseases. The main objectives of this investigation are to propose several methods for assessing high-resolution X-ray images with the purpose of identifying the occurrence or not of symptoms associated with pneumonia. The objective of this exam was to identify fixes for these existing problems. Our offering entails a deep learning (DL) technique for detecting chest anomalies using the X-ray modality using the EfficientNet B0 model. In order to make accurate diagnoses of pneumonia, both the EfficientNet B0 and the upgraded CNN model undergo extensive data-driven training. The CNN model that underwent upgrades was determined to be the most effective in this analysis because to its high level of accuracy. The results of our research conclusion are that DL models are capable of monitoring pneumonia's development, increasing diagnostic precision overall and giving patients new optimism for immediate relief.

Optimal control strategies for infectious disease management: Integrating differential game theory with the SEIR model

The rapid spread of infectious diseases poses a critical threat to global public health. Traditional frameworks, such as the Susceptible–Exposed–Infectious–Recovered (SEIR) model, have been crucial in elucidating disease dynamics. Nonetheless, these models frequently overlook the strategic interactions between public health authorities and individuals. This research extends the classic SEIR model by incorporating differential game theory to analyze optimal control strategies. By modeling the conflicting objectives of public health authorities aiming to minimize infection rates and intervention costs, and individuals seeking to reduce their infection risk and inconvenience, we derive a Nash equilibrium that provides a balanced approach to disease management. Using Picard’s iterative method, we solve the extended model to determine dynamic, optimal control strategies, revealing oscillatory behavior in public health interventions and individual preventive measures. This comprehensive approach offers valuable insights into the dynamic interactions essential for effective infectious disease control.

Hospital crisis management in the epidemic: A qualitative study.

Despite the advances in medical science, the epidemic of infectious diseases has faced serious challenges to the health system of countries, so the purpose of this study was to identify obstacles and management strategies to prepare for planning preventive measures and better care in dealing with infectious diseases in hospitals. The current qualitative research was of the grounded theory type, which was conducted in 2023. The semistructured interview questions were obtained from experts. The initial selection of the sample was made from experts in the field of health and treatment from all over the country. The snowball method was used to increase the sample volume until it reached sufficient Value. After analyzing the data through MAXQDA2020 software, this research reached saturation by interviewing 20 experts. Four main areas, 15 subthemes, and 93 codes were identified in the management of epidemics, which included leadership and management (planning, physical structure, information management, financial resources, manpower, medicine and equipment, and internal and external coordination), Stewardship (macro policy and syndromic care system), safety and resilience (crisis management and emergency and disaster risk management), management of infectious diseases (instructions, education, infection prevention and control, treatment management). This study presents the strategies of the health system in dealing with the epidemic of infectious diseases to overcome the obstacles and challenges of preparation and response, which can help health managers in designing future programs, and finally, it shows that hospitals should have a plan for resilience in crises.

Global impact of antimicrobial resistance on cancer care: Challenges and strategies in low- and middle-income countries

Antimicrobial resistance (AMR) is a fast-rising global health warning that causes significant challenges to the treatment and management of infectious diseases, especially in cancer patients, who are a large number of the vulnerable populations. This work underlines the complicated problems faced by the low- and middle-income countries (LMICs) in cancer care due to AMR. The burden of both cancer and AMR is sadly high, so therefore this review sheds light into the possible potential strategies to win against these challenges and set up better cancer treatment for improved outcomes in these countries. This sheds more light and gives a deeper understanding of recent research works, epidemiological data, and relevant case studies. Furthermore, examining the interconnectivity between AMR and cancer care, narrowing it down to some particular challenges and vulnerabilities encountered by cancer patients in LMICs. The study identifies key strategies such as implementing better antimicrobial stewardship programs, improving infection prevention and control, promoting new drug development, and enhancing global interactions as important steps in reducing the effect of AMR on cancer care in LMICs. This emphasizes the urgent need for targeted interventions, context-specific solutions, building sustainable development, and global interactions to address the complex challenges posed by AMR in cancer care within LMICs.

Tantangan dan Solusi Terkini dalam Penanganan Penyakit Menular

Infectious disease management continues to face various dynamic challenges along with environmental changes, human travel patterns, and the emergence of new pathogens. This study aims to analyze and identify current challenges and the solution in infectious disease management through a literature review method. The review covered scientific literature from various relevant sources, including journals, books, and reports from international health organizations. The results of this study show that the main challenges include antimicrobial resistance, and lack of health infrastructure in some regions. In addition, global issues such as climate change and urbanization exacerbate the situation by increasing the risk of disease spread. The study also found that international collaboration, innovations in medical technology, and increased public awareness and education are key to overcoming these challenges. In conclusion, addressing infectious diseases requires a multidisciplinary and cross-sectoral approach to improve the global response to evolving health threats.

Antimicrobial activity, toxicity and retrospective clinical effectiveness of Kantinka BA and Kantinka Herbaltics, two multi-component-herbal products used in the management of infectious diseases in Ghana

There is an upsurge in the incidence of persons living with infectious diseases and their associated symptoms. Also, there is increased resistance and high cost of available synthetic antimicrobial therapeutic agents. This calls for screening candidate herbal products to examine the risk-to-benefit ratio for users. Moreover, there are inadequate proven scientific studies to assess the quality, effectiveness, and toxicity of herbal products that traditional medicine practitioners in Ghana commonly use for the management of infectious diseases such as those caused by Neisseria gonorrhoeae, Candida albicans and the symptomatic management of symptoms associated with infections like cough, skin infections among others and gastritis. Kantinka BA and Kantinka Herbaltics, two multicomponent herbal products, have been used to manage the above-mentioned disease conditions. The study aims to evaluate the in vitro antibacterial activity, assess the retrospective clinical effectiveness (clinical responses; the disappearance of presenting signs and symptoms associated with infections, gastritis), and the quality and toxicity of Kantinka BA and Kantinka Herbaltics. The products are registered by the Food and Drugs Authority (FDA). Data on 200 patients who were diagnosed with infectious diseases such as Human Immunodeficiency Virus (HIV) / Acquired Immunodeficiency Syndrome (AIDS) and associated symptoms from January 2018 to June 2018 was obtained from the Adom Herbal Clinic, and the Tafo Government Herbal Medicine Records Unit was assessed. The antibacterial activity of the products was evaluated using the HT-SPOTi method. Phytochemical screening, microbial load, and pH were carried out according to standard procedures. Acute toxicity was carried out according to the Organization for Economic Cooperation and Development (OECD) guideline 425. Phytochemical screening, pH, and microbial load have been established for both products. Binding toxicity studies revealed that the products are non-toxic at a 2000 mg/kg dose. The two products exhibited antimicrobial activities against the test organisms with Minimum Inhibitory Concentration (MIC) and Minimum Lethal Concentration (MLC) determined for Kantinka BA and Kantinka Herbaltics as 5% and 10% and <80, respectively, against C. albicans and N. gonorrhoeae - the signs and symptoms associated with infections disappeared during the management period. The products are safe and may effectively manage some infectious diseases and associated symptoms.

Guardians of health: School nurses and their leadership roles in the fight against the COVID-19 pandemic in education<sup></sup>

This study investigated school health nurses’ critical role and importance in managing infectious diseases during the COVID-19 pandemic. The pandemic has had negative impacts on schools and educational institutions. In light of these impacts, the assistance of school health nurses in overcoming difficulties in accessing health services for students and their families was examined globally. The study aimed to explore the status of school nursing practices in various countries in response to the challenges posed by the COVID-19 pandemic, assess the situation in Turkey, and examine how these nurses contribute to health management in educational settings. To identify pertinent literature, relevant publications were reviewed using key terms such as ‘school nursing,’ ‘infectious disease management,’ ‘COVID-19,’ ‘safe school,’ and ‘public health’. The search focused on studies analysing the role of school health nurses during the pandemic. Sources included academic databases, public health reports, and public health organisation publications. Due to the lack of precise data on the employment of school health nurses in Turkey, specific information on their role during the pandemic could not be found. However, the relevant literature was comprehensively reviewed, and the study analysed global publications highlighting the critical role of school nurses in managing infectious diseases in educational settings. The study highlights that school health nurses play significant roles in preventing and controlling communicable diseases and contribute notably to health education for students and staff during the pandemic. School health nurses protect children and adolescents’ physical, psychological, and spiritual well-being. Findings suggest that structural changes in health and education systems are needed to enhance the effectiveness of school nurses. This study underscores the critical importance of school health nurses in pandemic management and public health protection. Strengthening their role is vital for preventing the spread of infectious diseases in schools and ensuring the well-being of students. Recommendations include increasing the employment of school health nurses, improving their professional development, and integrating their expertise into pandemic management strategies.

Role of vitamin D in COVID-19 and other viral infections.

Vitamin D is a steroid hormone that is naturally produced in the body or obtained through dietary sources, primarily under the influence of UVB radiation. This essential nutrient has a vital role in numerous physiological processes, encompassing immune function, cell growth, differentiation, insulin regulation, and cardiovascular well-being, along with its pivotal role in sustaining the delicate equilibrium of calcium and phosphate concentrations in the body. Moreover, vitamin D reinforces mucosal defense and bolsters the immune system through immunomodulation, making it a critical component of overall health. Numerous studies have unveiled the profound connection between vitamin D and the predisposition to respiratory tract infections, including well-known viruses such as influenza and the novel severe acute respiratory syndrome coronavirus 2. Vitamin D deficiency has been consistently linked to increased severity of coronavirus disease 2019 (COVID-19) and a heightened risk of mortality among afflicted individuals. Retrospective observational studies have further substantiated these findings, indicating that levels of vitamin D are linked with both the occurrence and severity of COVID-19 cases. Vitamin D has its influence on viral infections through a multitude of mechanisms, such as promoting the release of antimicrobial peptides and fine-tuning the responses of the immune system. Additionally, vitamin D is intertwined with the intricate network of the renin-angiotensin system, suggesting a potential impact on the development of complications related to COVID-19. While further clinical trials and extensive research are warranted, the existing body of evidence strongly hints at the possible use of vitamin D as a valuable tool in the prophylaxis and management of COVID-19 and other viral infectious diseases.

Optimizing Antibiotic Stewardship: Impact of Intravenous to Oral Conversion in General Medicine at a Tertiary Care Hospital

Antibiotics are used for the effective management of infectious diseases, a practice that is frequently misapplied nowadays. In order to monitor the conversion of IV to oral antibiotics, assess their rationality, and evaluate their effect on the length of hospital stays a prospective observational study was conducted. The study was divided into two phases; a baseline period of two months in which the antibiotics prescribed in the general medicine department were analysed. The intervention phase of four months consisted of the introduction of guidelines for IV to oral switch and conversion and analysis of IV to oral antibiotic conversion. The results revealed the majority of the participants were females and were from the age group 60 and above. A greater part of the study population had comorbidities, and the most common comorbidity was hypertension with type 2 diabetes mellitus. The conversion of IV to oral antibiotics was analysed for 159 patients and 79% of the antibiotics were converted and 21% were not. The most frequent type of conversion practice observed was switch therapy followed by step-down therapy and sequential therapy. The majority of the antibiotics were prescribed without a culture and sensitivity test. It was shown that the average length of hospital stay was 4.13 ± 1.5 days.

Artificial intelligence-clinical decision support system for enhanced infectious disease management: Accelerating ceftazidime-avibactam resistance detection in Klebsiella pneumoniae

BackgroundEffective and rapid diagnostic strategies are required to manage antibiotic resistance in Klebsiella pneumonia (KP). This study aimed to design an artificial intelligence-clinical decision support system (AI-CDSS) using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and machine learning for the rapid detection of ceftazidime-avibactam (CZA) resistance in KP to improve clinical decision-making processes. MethodsOut of 107,721 bacterial samples, 675 specimens of KP with suspected multi-drug resistance were selected. These specimens were collected from a tertiary hospital and four secondary hospitals between 2022 and 2023 to evaluate CZA resistance. We used MALDI-TOF MS and machine learning to develop an AI-CDSS with enhanced speed of resistance detection. ResultsMachine learning models, especially light gradient boosting machines (LGBM), exhibited an area under the curve (AUC) of 0.95, indicating high accuracy. The predictive models formed the core of our newly developed AI-CDSS, enabling clinical decisions quicker than traditional methods using culture and antibiotic susceptibility testing by a day. ConclusionsThe study confirms that MALDI-TOF MS, integrated with machine learning, can swiftly detect CZA resistance. Incorporating this insight into an AI-CDSS could transform clinical workflows, giving healthcare professionals immediate, crucial insights for shaping treatment plans. This approach promises to be a template for future anti-resistance strategies, emphasizing the vital importance of advanced diagnostics in enhancing public health outcomes.

Public Health Initiatives of Wearable Sensors for Health Monitoring and Early Heart Disease Detection

The science of preserving and enhancing individual and community health is known as public health. In order to accomplish this task, healthy lifestyle promotion, disease and injury prevention research, and the detection, prevention, and management of infectious diseases are used. Early detection and treatment of health disease can improve the prognosis for the condition worldwide. However, the massive volume of data needed poses a problem to the current automatic algorithms for diagnosing health illness. This study presents a medical gadget that uses the Internet of Things to gather cardiac data from individuals both before and after of heart illness. Technology is developing at a quick pace, leading to the establishment of many methodologies and ongoing research into solutions for problems that arise in a variety of industries. Preprocessing techniques are employed to effectively classify collected health data because the human body generates enormous amounts of data all the time. Furthermore, the most important phase is accurately classifying health data, which is necessary for diagnosis. The Deep Convolutional Neural Network (DCNN) is among the greatest and most efficient methods for categorising medical data. The results of the simulation in experimental research demonstrate that following this advise improves classification accuracy.

Occupational exposure protection and perioperative management of sudden infectious diseases from the perspective of COVID-19.

The coronavirus disease (COVID-19) SARS-CoV-2 virus epidemic continues to exhibit a sporadic onset trend due to the continuous variation of the novel coronavirus. However, the psychological impact of the pandemic persists. It is crucial to reflect on our experiences to better prepare for future large-scale infectious diseases. During outbreaks of infectious diseases, patients may still require orthopaedic surgery. It is crucial to prioritize the safety of medical staff and establish procedures to ensure their protection. However, with the implementation of a series of standardized operational protection procedures, orthopaedic surgeons can safely perform their duties without the risk of contracting COVID-19. There is no doubt that the orthopaedic occupational exposure protection process and perioperative management plan for global infectious diseases, such as COVID-19, require a standardized summarization process and a narrative review.

Global Clinical Networking to Optimize the Clinical Management of High-Consequence Infectious Diseases.

Global Clinical Networking to Optimize the Clinical Management of High-Consequence Infectious Diseases.