European ILD registry algorithm for self-assessment in interstitial lung diseases (eurILDreg ASA-ILD).

Background And Aims: Predicting progression and prognosis in Interstitial Lung Diseases (ILD), especially Idiopathic Pulmonary Fibrosis (IPF) and Progressive Pulmonary Fibrosis (PPF), remains a challenge. Integrating patient-centered measurements is essential for earlier and safer detection of disease progression. Home monitoring through e-health technologies, such as spirometry and oximetry connected to smartphone applications, holds promise for early detection of ILD progression or acute exacerbations, enabling timely therapeutic interventions.

Mapping evidence on the regulations affecting accessibility, availability and management of snake antivenom globally: a scoping review protocol.

Introduction: Snakebite envenomation has been declared a neglected tropical disease by the WHO since 2017. The disease is endemic in affected areas due to the lack of availability and access to antivenom, despite it being the standard treatment for snakebites. This challenge is perpetuated by the shortcomings of the regulatory systems and policies governing the management of antivenoms.

Designing a User-Friendly Data Request Management System for a Growing Health Data Network - A Case Study in the AKTIN Registry.

The AKTIN Emergency Department Registry, a German health data network, faces operational challenges due to rapid growth. Manual data request processes have become inefficient, hindering timely research and straining personnel. To address these challenges, we undertook a user-centered analysis utilizing Design Thinking principles to identify pain points and functional requirements in current data request creation and management processes.

Bridging Data Models in Health Care With a Novel Intermediate Query Format for Feasibility Queries: Mixed Methods Study.

Background: To advance research with clinical data, it is essential to make access to the available data as fast and easy as possible for researchers, which is especially challenging for data from different source systems within and across institutions. Over the years, many research repositories and data standards have been created. One of these is the Fast Healthcare Interoperability Resources (FHIR) standard, used by the German Medical Informatics Initiative (MII) to harmonize and standardize data across university hospitals in Germany.

A Pipeline for the Usage of the Core Data Set of the Medical Informatics Initiative for Process Mining - A Technical Case Report.

Introduction: Process Mining (PM) has emerged as a transformative tool in healthcare, facilitating the enhancement of process models and predicting potential anomalies. However, the widespread application of PM in healthcare is hindered by the lack of structured event logs and specific data privacy regulations.

Concept: This paper introduces a pipeline that converts routine healthcare data into PM-compatible event logs, leveraging the newly available permissions under the Health Data Utilization Act to use healthcare data.

Association of Phosphodiesterase-5 Inhibitor Treatment With Improved Survival in Pulmonary Hypertension Associated With COPD in the Pulmonary Vascular Research Institute GoDeep Meta-Registry.

Background: Patients with COPD frequently demonstrate pulmonary hypertension (PH). Severe PH in patients with COPD, identified by pulmonary vascular resistance (PVR) of > 5 Wood units (WU), is closely linked to impaired transplant-free survival. The impact of PH-targeting pharmacotherapy in this context remains unclear.

Data Integration for a Global Deep-Phenotyping Registry for Pulmonary Hypertension - Lessons Learned.

The integration of data from various healthcare centers into disease registries is pivotal for facilitating collaborative research and enhancing clinical insights. In this study, we investigate the integration process of existing registries into the PVRI GoDeep meta-registry, focusing on the complexities and challenges encountered. We detail the integration process, including data transformation, mapping updates, and feedback mechanisms.

Beating the Clock: A Prediction Model for Timely Care in Emergency Departments.

We developed and validated a statistical prediction model using 2.5 electronic health records from 24 German emergency departments (EDs) to estimate treatment timeliness at triage. The model's moderate fit and reliance on interoperable, routine data suggest its potential for implementation in ED crowding management.

Lack of signal peptide in insect prophenoloxidase to avoid glycosylation to damage the zymogen activity.

Insect prophenoloxidases (PPOs) are important immunity proteins for defending against the invading pathogens and parasites. As a Type-Ⅲ copper-containing proteins, unlike Homo sapiens tyrosinases, the insect PPOs and most bacterial tyrosinases contain no signal peptides for unknown reason, however they can still be released. To this end, we fused different signal peptides to Drosophila melanogaster PPOs for in vitro and in vivo expression, respectively.

Social cognition correlates of self-management behaviors in patients with familial hypercholesterolemia (FH): A meta-analytic review.

Objective: Familial Hypercholesterolemia (FH) is an inherited disorder leading to increased risk of premature atherosclerotic cardiovascular disease. This risk can be ameliorated through adherence to pharmacological treatment and salient lifestyle behaviors (e.g.

The Effects of Displaying the Time Targets of the Manchester Triage System to Emergency Department Personnel: Prospective Crossover Study.

Background: The use of triage systems such as the Manchester Triage System (MTS) is a standard procedure to determine the sequence of treatment in emergency departments (EDs). When using the MTS, time targets for treatment are determined. These are commonly displayed in the ED information system (EDIS) to ED staff.

Empowering Expecting Women to Obtain High-Quality Healthcare in Pakistan: An Evaluation of Khyber Pakhtunkhwa's Conditional Cash Transfer Program.

Maternal mortality, largely stemming from complications during pregnancy and childbirth, impacts poor expecting women with limited healthcare access in rural Pakistan. Conditional Cash Transfers (CCTs), commonly implemented in developing nations, are designed to improve the well-being of vulnerable populations by focusing on health and education. A CCT initiative named Chief Minister's Special Initiative for Mother and Child Health (CM-SIMCH) was launched in Khyber Pakhtunkhwa (KP), one of the less-developed provinces of Pakistan, to empower expecting women to access quality healthcare.

Association of the Antidepressants and the Periodontal Status: An Original Research.

Antidepressants have anti-inflammatory effects and boost immunity, and dentists should be aware. This case-control study included only those patients who consented to take part and had a ham-d score of at least 16 and a diagnosis of moderate-to-severe depression. Inclusion criteria included adults, those experiencing moderate to severe depression, taking fluoxetine or venlafaxine, and those with twenty or more teeth.

Social problem-solving in intimate partner violence victims: Exploring the relative contributions of shame and PTSD symptoms.

Objective: This study examined the contributions of shame and posttraumatic stress disorder (PTSD) symptoms to two dimensions of social problem-solving.

Method: A sample of 426 women who were seeking mental health assistance following experiences of intimate partner violence completed self-report and clinician measures. Separate path analyses were conducted for problem orientation and problem-solving styles.

AstraZeneca COVID-19 Vaccine and Diabetes Mellitus: A Prospective Clinical Study Regarding Vaccine Side Effects.

Background Coronavirus disease 2019 (COVID-19) is a major public health problem worldwide, and vaccination is currently the most effective way to control its spread and reduce its severity. Diabetes mellitus (DM) is a prevalent chronic disease that poses a significant health risk and is a frequent comorbidity in COVID-19 patients. Therefore, this study aimed to assess the frequency of local and systemic side effects of the AstraZeneca vaccine among diabetic and non-diabetic participants.

Do latent profiles of self-reported anxiety, depression, and PTSD map onto clinician ratings? An examination with intimate partner violence survivors.

Objective: Studies exploring latent profiles of mental health in trauma survivors have largely relied on self-report, making it unclear whether these patterns correspond with clinician-assessed psychopathology. The purpose of the current study was to examine latent profiles of self-reported PTSD, depression, and anxiety in a sample of 387 women who had experienced intimate partner violence (IPV) and investigate whether profiles mapped onto clinician-rated measures of the same outcomes.

Method: Participants completed a series of semi-structured interviews and self-report measures assessing PTSD, depression, and anxiety.

Association Between Pfizer COVID-19 Vaccine Adverse Effects and Diabetes Mellitus: A Prospective Multicenter Study.

Introduction The epidemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) triggered the contagion of coronavirus disease 2019 (COVID-19), which killed many individuals globally. The Pfizer BioNTech vaccine was the first messenger ribonucleic acid (mRNA)-based vaccine that boosted immunity against various adverse reactions. The objective of this study was to evaluate the frequency of Pfizer vaccine side effects among participants with and without diabetes mellitus (DM).

Silver-cored extract-loaded antimicrobial nanosuspension: overcoming multidrug resistance.

To synthesize a silver-cored nanosuspension utilizing fresh-leaf extract and evaluate their antimicrobial activity against multidrug-resistant pathogenic microbes. The prepared nanosuspension was analyzed by spectro-analytical techniques and tested for antimicrobial activity and resistance to biofilm formation. The leaf extract and nanosuspension were tested separately and together as a mixture.

Alcohol Use and Mental Health Symptoms in Nurses during the Early Months of COVID-19.

Objective: The current study examined associations of symptoms of posttraumatic stress disorder [PTSD], depression, and generalized anxiety disorder [GAD] with alcohol consumption and drinking to cope in a sample of 310 nurses during the first six months of the COVID-19 pandemic.

Method: Using a cross-sectional design, nurses completed online surveys.

Results: Over 50% of the sample reported alcohol misuse and 12.

Fake news stance detection using selective features and FakeNET.

The proliferation of fake news has severe effects on society and individuals on multiple fronts. With fast-paced online content generation, has come the challenging problem of fake news content. Consequently, automated systems to make a timely judgment of fake news have become the need of the hour.

Common Side Effects of Pfizer COVID-19 Vaccine: An Experience From Pakistan.

Introduction The severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) epidemic spread quickly. Vaccines are now being distributed to stop the infectious spread and halt fatalities. The Pfizer-BioNTech vaccine was the first mRNA-based vaccine introduced to boost immunity against COVID-19; however, it could lead to various adverse reactions.

Modeling Clinical Guidelines for an Epilepsy-CDSS: The EDiTh Project.

The knowledge transformation process involves the guideline for the diagnosis and therapy of epilepsy to an executable and computable knowledge base that serves as the basis for a decision-support system. We present a transparent knowledge representation model which facilitates technical implementation and verification. Knowledge is represented in a plain table, used in the frontend code of the software where simple reasoning is performed.