The Intersection of Substance Use Disorders and Infectious Diseases in the Emergency Department.

Substance use disorders (SUDs) intersect clinically with many infectious diseases, leading to significant morbidity and mortality if either condition is inadequately treated. In this article, we will describe commonly seen SUDs in the emergency department (ED) as well as their associated infectious diseases, discuss social drivers of patient outcomes, and introduce novel ED-based interventions for co-occurring conditions. Clinicians should come away from this article with prescriptions for both antimicrobial medications and pharmacotherapy for SUDs, as well as an appreciation for social barriers, to care for these patients.

Identification of Early Warning Signals of Infectious Diseases in Hospitals by Integrating Clinical Treatment and Disease Prevention.

The global incidence of infectious diseases has increased in recent years, posing a significant threat to human health. Hospitals typically serve as frontline institutions for detecting infectious diseases. However, accurately identifying warning signals of infectious diseases in a timely manner, especially emerging infectious diseases, can be challenging. Consequently, there is a pressing need to integrate treatment and disease prevention data to conduct comprehensive analyses aimed at preventing and controlling infectious diseases within hospitals. This paper examines the role of medical data in the early identification of infectious diseases, explores early warning technologies for infectious disease recognition, and assesses monitoring and early warning mechanisms for infectious diseases. We propose that hospitals adopt novel multidimensional early warning technologies to mine and analyze medical data from various systems, in compliance with national strategies to integrate clinical treatment and disease prevention. Furthermore, hospitals should establish institution-specific, clinical-based early warning models for infectious diseases to actively monitor early signals and enhance preparedness for infectious disease prevention and control.

[Infectious Diseases - a new specialty for postgraduate training in Germany]. / Infektiologie ­ eine neue Facharztdisziplin in Deutschland.

Medicine in Germany is currently facing major structural and economic challenges. Infectious Diseases, with the recent introduction of a new specialty in "Internal Medicine and Infectious Diseases" and with the existing additional training for almost all specializations, will make an important contribution to overcoming these challenges. Expertise in infectious diseases has to be very broad and requires high interdisciplinarity, which makes infectious diseases an attractive and demanding specialty. The complex fundamentals of infectious diseases must now be quickly conveyed to as many physicians as possible in a short period of time, as part of their specialization or as additional training. Until this is achieved, transitional solutions will be necessary for some time. The adaptation of the current billing and reimbursement system for infectious diseases services and improved intersectoral cooperation are of the utmost importance for the further development of the specialty.

RNA therapeutics for infectious diseases.

Ribonucleic acids (RNAs), including the messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA), play important roles in living organisms and viruses. In recent years, the RNA-based technologies including the RNAs inhibiting other RNA activities, the RNAs targeting proteins, the RNAs reprograming genetic information, and the RNAs encoding therapeutical proteins, are useful methods to apply in prophylactic and therapeutic vaccines. In this review, we summarize and highlight the current application of the RNA therapeutics, especially on mRNA vaccines which have potential for prevention and treatment against human and animal infectious diseases.

CAR Immunotherapy for the treatment of infectious diseases: a systematic review.

Immunotherapy treatments aim to modulate the host's immune response to either mitigate it in inflammatory/autoimmune disease or enhance it against infection or cancer. Among different immunotherapies reaching clinical application during the last years, chimeric antigen receptor (CAR) immunotherapy has emerged as an effective treatment for cancer where different CAR T cells have already been approved. Yet their use against infectious diseases is an area still relatively poorly explored, albeit with tremendous potential for research and clinical application. Infectious diseases represent a global health challenge, with the escalating threat of antimicrobial resistance underscoring the need for alternative therapeutic approaches. This review aims to systematically evaluate the current applications of CAR immunotherapy in infectious diseases and discuss its potential for future applications. Notably, CAR cell therapies, initially developed for cancer treatment, are gaining recognition as potential remedies for infectious diseases. The review sheds light on significant progress in CAR T cell therapy directed at viral and opportunistic fungal infections.

Child Health Needs and the Pediatric Infectious Diseases Workforce: 2020-2040.

Pediatric infectious diseases (PID) physicians prevent and treat childhood infections through clinical care, research, public health, education, antimicrobial stewardship, and infection prevention. This article is part of an American Board of Pediatrics Foundation-sponsored supplement investigating the future of the pediatric subspecialty workforce. The article offers context to findings from a modeling analysis estimating the supply of PID subspecialists in the United States between 2020 and 2040. It provides an overview of children cared for by PID subspecialists, reviews the current state of the PID workforce, and discusses the projected headcount and clinical workforce equivalents of PID subspecialists at the national, census region, and census division levels over this 2-decade period. The article concludes by discussing the education and training, clinical practice, policy, and research implications of the data presented. Adjusting for population growth, the PID workforce is projected to grow more slowly than most other pediatric subspecialties and geographic disparities in access to PID care are expected to worsen. In models considering alternative scenarios, decreases in the number of fellows and time spent in clinical care significantly affect the PID workforce. Notably, model assumptions may not adequately account for potential threats to the PID workforce, including a declining number of fellows entering training and the unknown impact of the COVID-19 pandemic and future emerging infections on workforce attrition. Changes to education and training, clinical care, and policy are needed to ensure the PID workforce can meet the future needs of US children.

Complexity of patients with or without infectious disease consultation in tertiary-care hospitals in Germany.

PURPOSE: Patients seen by infectious disease (ID) specialists are more complex compared to patients treated by other subspecialities according to Tonelli et al. (2018). However, larger studies on the complexity of patients related to the involvement of ID consultation services are missing. METHODS: Data of patients being treated in 2015 and 2019 in four different German university hospitals was retrospectively collected. Data were collected from the hospitals' software system and included whether the patients received an ID consultation as well as patient clinical complexity level (PCCL), case mix index (CMI) and length of stay (LOS) as a measurement for the patients' complexity. Furthermore, a comparison of patients with distinct infectious diseases treated with or without an ID consultation was initiated. RESULTS: In total, 215.915 patients were included in the study, 3% (n = 6311) of those were seen by an ID consultant. Patients receiving ID consultations had a significantly (p < 0.05) higher PCCL (median 4 vs. 0), CMI (median 3,8 vs. 1,1) and deviation of the expected mean LOS (median 7 days vs. 0 days) than patients in the control group. No differences among hospitals or between years were observed. Comparing patients with distinct infectious diseases treated with or without an ID consultation, the differences were confirmed throughout the groups. CONCLUSION: Patients receiving ID consultations are highly complex, frequently need further treatment after discharge and have a high economic impact. Thus, ID specialists should be clinically trained in a broad spectrum of diseases and treating these complex patients should be sufficiently remunerated.

Update on Cardiovascular Implantable Electronic Device Infections and Their Prevention, Diagnosis, and Management: A Scientific Statement From the American Heart Association: Endorsed by the International Society for Cardiovascular Infectious Diseases.

The American Heart Association sponsored the first iteration of a scientific statement that addressed all aspects of cardiovascular implantable electronic device infection in 2010. Major advances in the prevention, diagnosis, and management of these infections have occurred since then, necessitating a scientific statement update. An 11-member writing group was identified and included recognized experts in cardiology and infectious diseases, with a career focus on cardiovascular infections. The group initially met in October 2022 to develop a scientific statement that was drafted with front-line clinicians in mind and focused on providing updated clinical information to enhance outcomes of patients with cardiovascular implantable electronic device infection. The current scientific statement highlights recent advances in prevention, diagnosis, and management, and how they may be incorporated in the complex care of patients with cardiovascular implantable electronic device infection.

mSphere of Influence: How host genetics impact microbial pathogenesis and treatment of infectious disease.

Emily Rosowski works in the field of host-pathogen interactions, studying how host innate immune mechanisms control pathogens. In this mSphere of Influence article, she reflects on how "Host genotype-specific therapies can optimize the inflammatory response to mycobacterial infections" by D. M. Tobin, F. J. Roca, S. F. Oh, R. McFarland, et al. (Cell 148:434-446, 2012, https://doi.org/10.1016/j.cell.2011.12.023) made an impact on her by investigating how differences in host genetics can affect modes of microbial pathogenesis and inform treatments for infectious disease.

Identifying the most important data for research in the field of infectious diseases: thinking on the basis of artificial intelligence / Identificación de los datos más importantes para el desarrollo de inteligencia artificial en el campo de las enfermedades infecciosas

Objectives. Clinical data on which artificial intelligence (AI) algorithms are trained and tested provide the basis to im prove diagnosis or treatment of infectious diseases (ID). We aimed to identify important data for ID research to prioritise efforts being undertaken in AI programmes. Material and methods. We searched for 1,000 articles from high-impact ID journals on PubMed, selecting 288 of the latest articles from 10 top journals. We classified them into structured or unstructured data. Variables were homogenised and grouped into the following categories: epidemiology, ad mission, demographics, comorbidities, clinical manifestations, laboratory, microbiology, other diagnoses, treatment, out comes and other non-categorizable variables. Results. 4,488 individual variables were collected, from the 288 articles. 3,670 (81.8%) variables were classified as structured data whilst 818 (18.2%) as unstructured data. From the structured data, 2,319 (63.2%) variables were classified as direct—retrievable from electronic health records—whilst 1,351 (36.8%) were indirect. The most frequent unstructured data were related to clinical manifestations and were repeated across articles. Data on demographics, comorbidities and mi crobiology constituted the most frequent group of variables. Conclusions. This article identified that structured vari ables have comprised the most important data in research to generate knowledge in the field of ID. Extracting these data should be a priority when a medical centre intends to start an AI programme for ID. We also documented that the most important unstructured data in this field are those related to clinical manifestations. Such data could easily undergo some structuring with the use of semi-structured medical records focusing on a few symptoms (AU)

Objetivos. Los datos clínicos sobre los que se entrenan y prueban los algoritmos de inteligencia artificial (IA) proporcio nan la base para mejorar el diagnóstico o el tratamiento de las enfermedades infecciosas (EI). Nuestro objetivo es identificar datos importantes para la investigación de las enfermedades infecciosas con el fin de priorizar los esfuerzos realizados en los programas de IA. Material y métodos. Se buscaron 1.000 artículos de re vistas de EI de alto impacto en PubMed, seleccionando 288 de los últimos artículos en 10 revistas de primer nivel. Los clasifi camos en datos estructurados o no estructurados. Las variables se homogeneizaron y agruparon en las siguientes categorías: epidemiología, ingreso, demografía, comorbilidades, manifes taciones clínicas, laboratorio, microbiología, otros diagnósticos, tratamiento, desenlace y otras variables no categorizables. Resultados. Se recogieron 4.488 variables individuales, pro cedentes de 288 artículos. 3670 (81,8%) variables se clasificaron como datos estructurados, mientras que 818 (18,2%) como da tos no estructurados. De los datos estructurados, 2.319 (63,2%) variables se clasificaron como directas -recuperables a partir de historias clínicas electrónicas-, mientras que 1.351 (36,8%) fueron indirectas. Los datos no estructurados más frecuentes estaban re lacionados con las manifestaciones clínicas y se repetían en todos los artículos. Los datos sobre demografía, comorbilidades y micro biología constituyeron el grupo más frecuente de variables Conclusiones. Este artículo identificó que las variables es tructuradas han constituido los datos más importantes en la investigación para generar conocimiento en el campo de la EI. La extracción de estos datos debería ser una prioridad cuando un centro médico pretende iniciar un programa de IA para la EI (AU)

MicroRNAs in infectious diseases: potential diagnostic biomarkers and therapeutic targets.

SUMMARYMicroRNAs (miRNAs) are conserved, short, non-coding RNAs that play a crucial role in the post-transcriptional regulation of gene expression. They have been implicated in the pathogenesis of cancer and neurological, cardiovascular, and autoimmune diseases. Several recent studies have suggested that miRNAs are key players in regulating the differentiation, maturation, and activation of immune cells, thereby influencing the host immune response to infection. The resultant upregulation or downregulation of miRNAs from infection influences the protein expression of genes responsible for the immune response and can determine the risk of disease progression. Recently, miRNAs have been explored as diagnostic biomarkers and therapeutic targets in various infectious diseases. This review summarizes our current understanding of the role of miRNAs during viral, fungal, bacterial, and parasitic infections from a clinical perspective, including critical functional mechanisms and implications for their potential use as biomarkers and therapeutic targets.

Insights from the scale-up and implementation of the Deadly Liver Mob program across nine sites in New South Wales, Australia, according to the RE-AIM framework.

BACKGROUND: The Deadly Liver Mob (DLM) program is a peer-led health promotion program that aims to improve access to screening and treatment for blood borne viruses and sexually transmissible infections for Aboriginal and Torres Strait Islander Australians. In this paper, we used client and staff insights to explore the successes and challenges of implementing the DLM program according to the RE-AIM framework, which explores real-world implementation of interventions according to reach, effectiveness, adoption, implementation, and maintenance. METHODS: Clients and staff were recruited through the DLM program. Semi-structured interviews were conducted with four Aboriginal and Torres Strait Islander and 11 non-Aboriginal or Torres Strait Islander health workers, as well as 33 Aboriginal and Torres Strait Islander clients of the program. RESULTS: Findings show the positive effects of the DLM program, in creating a culturally safe and sensitive environment for Aboriginal and Torres Strait Islander clients to access care. In particular, the employment of frontline Aboriginal and Torres Strait Islander workers to deliver the education was touted as one of the primary successes of the program, in enabling workers to build trust between clients and mainstream health systems, which has the flow on effect of encouraging clients to go through to screening. The use of the RE-AIM framework illustrates the challenges of implementing real-world interventions across various locations, such as the difficulties in delivering DLM in regional and remote areas due to covering large geographic areas with minimal public transport available. CONCLUSIONS: The data emphasise the need for interventions to be adaptable and flexible, altering elements of the program to suit local and community needs, such as by offering mobile and outreach services to enable access across regional and rural areas. The findings of this evaluation have been used to develop tools so that the learnings from DLM can be shared with others who may be hoping to implement DLM or other similar programs.

Evaluating a complex health promotion program to reduce hepatitis C among Aboriginal and Torres Strait Islander peoples in New South Wales, Australia: the Deadly Liver Mob.

The Deadly Liver Mob (DLM) is a peer-delivered incentivised health promotion program by and for Aboriginal and Torres Strait Islander Australians, and was introduced in response to the disproportionate number of Aboriginal and Torres Strait Islander Australians who are impacted by blood borne viruses (BBVs) and sexually transmitted infections (STIs). The goal of the program is to increase access to BBV and STI education, screening, treatment, and vaccination in recognition and response to the systemic barriers that Aboriginal and Torres Strait Islander peoples face in accessing health care. This commentary introduces a series of papers that report on various aspects of the evaluation of the Deadly Liver Mob (DLM) program. In this paper, we explain what DLM is and how we constructed an evaluation framework for this complex health promotion intervention.