Feasible Tool Research Articles

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

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. One of the first steps to make these data available is to allow researchers to create feasibility queries to determine the data availability for a specific research question. Given the heterogeneity of different query languages to access different data across and even within standards such as FHIR (eg, CQL and FHIR Search), creating an intermediate query syntax for feasibility queries reduces the complexity of query translation and improves interoperability across different research repositories and query languages. This study describes the creation and implementation of an intermediate query syntax for feasibility queries and how it integrates into the federated German health research portal (Forschungsdatenportal Gesundheit) and the MII. We analyzed the requirements for feasibility queries and the feasibility tools that are currently available in research repositories. Based on this analysis, we developed an intermediate query syntax that can be easily translated into different research repository-specific query languages. The resulting Clinical Cohort Definition Language (CCDL) for feasibility queries combines inclusion criteria in a conjunctive normal form and exclusion criteria in a disjunctive normal form, allowing for additional filters like time or numerical restrictions. The inclusion and exclusion results are combined via an expression to specify feasibility queries. We defined a JSON schema for the CCDL, generated an ontology, and demonstrated the use and translatability of the CCDL across multiple studies and real-world use cases. We developed and evaluated a structured query syntax for feasibility queries and demonstrated its use in a real-world example as part of a research platform across 39 German university hospitals.

An enzyme-inspired specificity in deep learning model for sleep stage classification using multi-channel PSG signals input: Separating training approach and its performance on cross-dataset validation for generalizability

Numerous automatic sleep stage classification systems have been developed, but none have become effective assistive tools for sleep technicians due to issues with generalization. Four key factors hinder the generalization of these models are instruments, montage of recording, subject type, and scoring manual factors. This study aimed to develop a deep learning model that addresses generalization problems by integrating enzyme-inspired specificity and employing separating training approaches. Subject type and scoring manual factors were controlled, while the focus was on instruments and montage of recording factors. The proposed model consists of three sets of signal-specific models including EEG-, EOG-, and EMG-specific model. The EEG-specific models further include three sets of channel-specific models. All signal-specific and channel-specific models were established with data manipulation and weighted loss strategies, resulting in three sets of data manipulation models and class-specific models, respectively. These models were CNNs. Additionally, BiLSTM models were applied to EEG- and EOG-specific models to obtain temporal information. Finally, classification task for sleep stage was handled by ‘the-last-dense’ layer. The optimal sampling frequency for each physiological signal was identified and used during the training process. The proposed model was trained on MGH dataset and evaluated using both within dataset and cross-dataset. For MGH dataset, overall accuracy of 81.05 %, MF1 of 79.05 %, Kappa of 0.7408, and per-class F1-scores: W (84.98 %), N1 (58.06 %), N2 (84.82 %), N3 (79.20 %), and REM (88.17 %) can be achieved. Performances on cross-datasets are as follows: SHHS1 200 records reached 79.54 %, 70.56 %, and 0.7078; SHHS2 200 records achieved 76.77 %, 66.30 %, and 0.6632; Sleep-EDF 153 records gained 78.52 %, 72.13 %, and 0.7031; and BCI-MU (local dataset) 94 records achieved 83.57 %, 82.17 %, and 0.7769 for overall accuracy, MF1, and Kappa respectively. Additionally, the proposed model has approximately 9.3 M trainable parameters and takes around 26 s to process one PSG record. The results indicate that the proposed model demonstrates generalizability in sleep stage classification and shows potential as a feasibility tool for real-world applications. Additionally, enzyme-inspired specificity effectively addresses the challenges posed by varying montage of recording, while the identified optimal frequencies mitigate instrument-related issues.

Uncovering Harmonization Potential in Health Care Data Through Iterative Refinement of Fast Healthcare Interoperability Resources Profiles Based on Retrospective Discrepancy Analysis: Case Study.

Cross-institutional interoperability between health care providers remains a recurring challenge worldwide. The German Medical Informatics Initiative, a collaboration of 37 university hospitals in Germany, aims to enable interoperability between partner sites by defining Fast Healthcare Interoperability Resources (FHIR) profiles for the cross-institutional exchange of health care data, the Core Data Set (CDS). The current CDS and its extension modules define elements representing patients' health care records. All university hospitals in Germany have made significant progress in providing routine data in a standardized format based on the CDS. In addition, the central research platform for health, the German Portal for Medical Research Data feasibility tool, allows medical researchers to query the available CDS data items across many participating hospitals. In this study, we aimed to evaluate a novel approach of combining the current top-down generated FHIR profiles with the bottom-up generated knowledge gained by the analysis of respective instance data. This allowed us to derive options for iteratively refining FHIR profiles using the information obtained from a discrepancy analysis. We developed an FHIR validation pipeline and opted to derive more restrictive profiles from the original CDS profiles. This decision was driven by the need to align more closely with the specific assumptions and requirements of the central feasibility platform's search ontology. While the original CDS profiles offer a generic framework adaptable for a broad spectrum of medical informatics use cases, they lack the specificity to model the nuanced criteria essential for medical researchers. A key example of this is the necessity to represent specific laboratory codings and values interdependencies accurately. The validation results allow us to identify discrepancies between the instance data at the clinical sites and the profiles specified by the feasibility platform and addressed in the future. A total of 20 university hospitals participated in this study. Historical factors, lack of harmonization, a wide range of source systems, and case sensitivity of coding are some of the causes for the discrepancies identified. While in our case study, Conditions, Procedures, and Medications have a high degree of uniformity in the coding of instance data due to legislative requirements for billing in Germany, we found that laboratory values pose a significant data harmonization challenge due to their interdependency between coding and value. While the CDS achieves interoperability, different challenges for federated data access arise, requiring more specificity in the profiles to make assumptions on the instance data. We further argue that further harmonization of the instance data can significantly lower required retrospective harmonization efforts. We recognize that discrepancies cannot be resolved solely at the clinical site; therefore, our findings have a wide range of implications and will require action on multiple levels and by various stakeholders.

Facilitating climate adaptation: The resilience adaptation feasibility tool (RAFT) framework

ABSTRACT There is a disconnect between the urgency of responding to the threats posed by climate change and the existing resources, technical capacity, and political will necessary to engage in resilience planning and climate action. A variety of frameworks for bridging these gaps exist, but few have emerged through an iterative process of piloting and refining strategies to bridge these gaps on the ground. The Resilience Adaptation Feasibility Tool (RAFT) framework builds upon decades of experience designing and implementing community engagement processes and offers an alternate model for advancing resilience and climate adaptation planning that leverages social learning to build consensus around shared values and community priorities. This paper documents the RAFT process, situates it within the context of climate adaptation planning research, and articulates its specific strengths as a flexible and portable model for engaging the public in preparing for climate change impacts.

Value of the modified Patient-Generated Subjective Global Assessment in indicating the need for nutrition intervention and predicting overall survival in patients with malignant tumors in at least two organs.

Although the Patient-Generated Subjective Global Assessment (PG-SGA) is a reference standard used to assess a patient's nutrition status, it is cumbersome to administer. The aim of the present study was to estimate the value of a simpler and easier-to-use modified PG-SGA (mPG-SGA) to evaluate the nutrition status and need for intervention in patients with malignant tumors present in at least two organs. A total of 591 patients (343 male and 248 female) were included from the INSCOC study. A Pearson correlation analysis was conducted to assess the correlation between the mPG-SGA and nutrition-related factors, with the optimal cut-off defined by a receiver operating characteristic curve (ROC). The consistency between the mPG-SGA and PG-SGA was compared in a concordance analysis. A survival analysis was used to determine the effects of nutritional intervention among different nutrition status groups. Univariable and multivariable Cox analyses were applied to evaluate the association of the mPG-SGA with the all-cause mortality. The mPG-SGA showed a negative association with nutrition-related factors. Individuals with an mPG-SGA ≥ 5 (rounded from 4.5) were considered to need nutritional intervention. Among the malnourished patients (mPG-SGA ≥ 5), the overall survival (OS) of those who received nutrition intervention was significantly higher than that of patients who did not. However, the OS was not significantly different in the better-nourished patients (mPG-SGA < 5). Our findings support that the mPG-SGA is a feasible tool that can be used to guide nutritional interventions and predict the survival of patients with malignant tumors affecting at least two organs.

Longitudinal Muscle Biopsies Reveal Inter- and Intra-Subject Variability in Cancer Cachexia: Paving the Way for Biopsy-Guided Tailored Treatment.

In the rapidly evolving landscape of cancer cachexia research, the development and refinement of diagnostic and predictive biomarkers constitute an ongoing challenge. This study aims to introduce longitudinal muscle biopsies as a potential framework for disease monitoring and treatment. The initial feasibility and safety assessment was performed for healthy mice and rats that received two consecutive muscle biopsies. The assessment was performed by utilizing three different tools. Subsequently, the protocol was also applied in leiomyosarcoma tumor-bearing rats. Longitudinal muscle biopsies proved to be a safe and feasible technique, especially in rat models. The application of this protocol to tumor-bearing rats further affirmed its tolerability and feasibility, while microscopic evaluation of the biopsies demonstrated varying levels of muscle atrophy with or without leukocyte infiltration. In this tumor model, sequential muscle biopsies confirmed the variability of the cancer cachexia evolution among subjects and at different time-points. Despite the abundance of promising cancer cachexia data during the past decade, the full potential of muscle biopsies is not being leveraged. Sequential muscle biopsies throughout the disease course represent a feasible and safe tool that can be utilized to guide precision treatment and monitor the response in cancer cachexia research.

Backward and forward simulation of polycyclic aromatic hydrocarbons by the grid-scale model _validation and applications for environmental management

Polycyclic aromatic hydrocarbons (PAHs) associated with fine particulate matter (PM2.5) can cause serious health problems, but data are scarce. We have previously developed a grid-scale model (GSM) to simulate PM2.5-PAH levels on an hourly basis. This study aims to verify the applicability of the model to different years and to reasonably assess the long-term spatiotemporal effects on PAH variation in Kaohsiung. From the resulting database, the annual mean of PM2.5-PAH was found to have decreased from 3.18 in 2005 to 1.78 ng m−3 in 2018, representing an overall decrease of 44%. Thus, this study found that the progressive decrease in PAH levels was closely related to green transport and the gradual tightening of industrial operation regulations. Namely, in the urban area near the central public transport hubs, the estimated PAHs had significantly decreased by 16% (0.37 ng m−3) in 2009 with the operation of the high-speed railway in 2007 and the mass rapid transit in 2008. Near industrial areas, PAHs were reduced by environmental regulations, including air pollution control fees and cap-and-trade policies. By using GSM simulation, this study demonstrated a useful and feasible urban planning tool, and can serve as a reference for future studies related to epidemiology and environmental management.

Development and Feasibility of an Adolescent Dancer Screen.

Adolescent dancers are at high risk for injuries due to the physical demands of dance training and the physiological changes that occur during adolescence. Though studies report high injury rates, there are few standardized screening tools available for adolescent dancers. To develop and describe a standardized, feasible, evidence-based, and clinically relevant screen for adolescent dancers. Descriptive Epidemiology Study. Dancers at two suburban pre-professional dance studios, in two cohorts, participated in the Columbia Adolescent Dancer Screen (CADS) that includes dance injury history, health questionnaires (EAT-26, SF-36, DFOS), aerobic capacity, range of motion, strength, balance/orthopedic special tests, and dance technique. Participants were asked to complete a weekly injury surveillance questionnaire derived from the Dance-Specific Oslo Sports Trauma Research Centre Questionnaire on Health Problems for 14 weeks following the screening. Feasibility was assessed using process and content analysis in four areas: practicality, demand, implementation, and adaptation. Descriptive data were collected from 32 female dancers aged 11-17 with cohort one averaging 18.57 dance hours per week and cohort two averaging 10.6 dance hours per week. The screen was practical, able to screen seven to eight dancers per hour utilizing nine assessors and requiring a one-hour commitment from dancers. Cost and space requirements were considered and kept to a minimum while utilizing portable equipment. All screening slots were filled with all dancers agreeing to follow-up injury surveillance, indicating high demand. The screen was implemented with two cohorts with revisions to improve efficiency applied for the second cohort. The CADS is a feasible screening tool for adolescent dancers that overcomes barriers by being pragmatic, evidence-based, and efficient. Screening can be implemented to obtain baseline values, inform wellness recommendations, and establish relationships with medical professionals. Level 3b.

Validating the Korean shorter Diagnostic Thinking Inventory in medical education: a pilot study.

Developing clinical reasoning across the medical curriculum requires valid, reliable, and feasible assessment tools. However, few validated tools are available for the convenient and efficient quantification of clinical reasoning. Thus, this study aimed to create a shorter version of the Diagnostic Thinking Inventory (DTI) and validate it in the Korean medical education context (DTI-SK). The DTI-SK was constructed using content validity and a translation and back-translation process. It comprises two subcategories and 14 items. Its validity and reliability were explored using exploratory and confirmatory factor analyses, mean comparisons of four medical student groups (med 1 to med 4), and internal consistency using Cronbach's α. Two hundred medical students were invited to participate through email, and the survey was administered for 2 weeks. Data from 136 students were analyzed. Exploratory factor analysis revealed two factors with eigenvalues greater than 1.0 and they together explained 54.65% of the variance. Confirmatory factor analysis demonstrated that the model had acceptable level of fit and convergent validity. Discriminant validity was confirmed using heterotrait-monotrait criterion. Group comparisons demonstrated that the med 4 students showed significantly higher scores than the med 1 and 2 students. The inventory exhibited strong internal consistency for all items (Cronbach's α=0.906). The findings indicated that the DTI-SK is a reliable and valid tool for measuring medical students' clinical reasoning in the context of Korean medical education.

Computational Fluid Dynamics: Insights and Applications in the Pharmaceutical Field

Abstracts: Computational fluid dynamics (CFD) is a feasible tool to examine and troubleshoot different types of equipment utilized in the pharmaceutical industry or healthcare. As a large number of fluids are processed by unit operations, even some increments in performance and efficiency may escalate profits and reduce costs. CFD methods are primarily used in the automobile and aerospace industries, but in the current era, this technology is extensively applied in the pharmaceutical and chemical industries and has become an important tool for process design scaleup and optimization. CFD is a numerical approach utilizing CFD software to solve equations numerically. This review focuses on the diverse utilization of CFD in the pharmaceutical field and current applications in the COVID 19 pandemic, a recent health crisis that is intimidating the world.

Role of Audio Visual Aids to Impart Garden-Based Nutrition Education for Preschoolers

Introduction: One of the most critical period in human life is the preschool years. In order to develop healthy food habits nutrition education need to be imparted at this age. There is a novel strategy to deliver nutrition education to children namely Garden-Based Nutrition Education (GBNE). Utilization of nutrition education tools can be an effective way for the delivery of GBNE.&#x0D; Aim: To develop PowerPoint presentation on the importance of fruits and vegetables converts to video form and a child friendly gardening video for preschool children and assess the feasibility and acceptability.&#x0D; Materials and Methods: Audio visual aids like power point presentation and videos were developed. Power point presentation on importance of fruits and vegetables was developed in such a way that it can reach the respondents and convey the intended message for preschool children with a total of 13 slides.&#x0D; A documentary child friendly gardening video was constructed having a duration of nearly seven minutes with the title “Garden Based Nutrition Education” with the intention to inculcate gardening skills among children from their early childhood years. Both the tools were developed using standardized procedures and was subjected to pre study. In order to assess the feasibility and acceptability of the developed GBNE tools it was subjected to preschool teachers/anganwadi workers and parents of preschool children. The sample consisted of 75 parents and 75 preschool teachers which was randomly selected from Kollam and Thiruvananthapuram districts of Kerala.&#x0D; Results: The study reveals that, both parents and teachers finds child friendly gardening video as the most feasible and acceptable tool to impart garden-based nutrition education.&#x0D; Discussion: Preschool children loves gardening ad watering. Child friendly gardening video is most involving and interesting in nature when compared to power point video.&#x0D; Conclusion: Therefore it can be concluded that power point video on importance of fruits and vegetables and child friendly gardening video can be used as effective GBNE tool to teach the significance of fruits and vegetables through gardening activities.

Injectable Alginate Complex Hydrogel Loaded with Dual-Drug Nanovectors Offers Effective Photochemotherapy against Triple-Negative Breast Cancer.

Triple-negative breast cancer (TNBC), accounting for approximately 20% of breast cancer cases, is a particular subtype that lacks tumor-specific targets and is difficult to treat due to its high aggressiveness and poor prognosis. Chemotherapy remains the major systemic treatment for TNBC. However, its applicability and efficacy in the clinic are usually concerning due to a lack of targeting, adverse side effects, and occurrence of multidrug resistance, suggesting that the development of effective therapeutics is still highly demanded nowadays. In this study, an injectable alginate complex hydrogel loaded with indocyanine green (ICG)-entrapped perfluorocarbon nanoemulsions (IPNEs) and camptothecin (CPT)-doped chitosan nanoparticles (CCNPs), named IPECCNAHG, was developed for photochemotherapy against TNBC. IPNEs with perfluorocarbon can induce hyperthermia and generate more singlet oxygen than an equal dose of free ICG upon near-infrared (NIR) irradiation to achieve photothermal and photodynamic therapy. CCNPs with positive charge may facilitate cellular internalization and provide sustained release of CPT to carry out chemotherapy. Both nanovectors can stabilize agents in the same hydrogel system without interactions. IPECCNAHG integrating IPNEs and CCNPs enables stage-wise combinational therapeutics that may overcome the issues described above. With 60 s of NIR irradiation, IPECCNAHG significantly inhibited the growth of MDA-MB-231 tumors in the mice without systemic toxicity within the 21 day treatment. We speculate that such anticancer efficacy was accomplished by phototherapy followed by chemotherapy, where cancer cells were first destroyed by IPNE-derived hyperthermia and singlet oxygen, followed by sustained damage with CPT after internalization of CCNPs; a two-stage tumoricidal process. Taken together, the developed IPECCNAHG is anticipated to be a feasible tool for TNBC treatment in the clinic.

Counting what counts: assessing quality of life and its social determinants among nursing home residents with dementia

BackgroundMaximizing quality of life (QoL) is a major goal of care for people with dementia in nursing homes (NHs). Social determinants are critical for residents' QoL. However, similar to the United States and other countries, most Canadian NHs routinely monitor and publicly report quality of care, but not resident QoL and its social determinants. Therefore, we lack robust, quantitative studies evaluating the association of multiple intersecting social determinants with NH residents’ QoL. The goal of this study is to address this critical knowledge gap.MethodsWe will recruit a random sample of 80 NHs from 5 Canadian provinces (Alberta, British Columbia, Manitoba, Nova Scotia, Ontario). We will stratify facilities by urban/rural location, for-profit/not-for-profit ownership, and size (above/below median number of beds among urban versus rural facilities in each province). In video-based structured interviews with care staff, we will complete QoL assessments for each of ~ 4,320 residents, using the DEMQOL-CH, a validated, feasible tool for this purpose. We will also assess resident’s social determinants of QoL, using items from validated Canadian population surveys. Health and quality of care data will come from routinely collected Resident Assessment Instrument – Minimum Data Set 2.0 records. Knowledge users (health system decision makers, Alzheimer Societies, NH managers, care staff, people with dementia and their family/friend caregivers) have been involved in the design of this study, and we will partner with them throughout the study. We will share and discuss study findings with knowledge users in web-based summits with embedded focus groups. This will provide much needed data on knowledge users' interpretations, usefulness and intended use of data on NH residents’ QoL and its health and social determinants.DiscussionThis large-scale, robust, quantitative study will address a major knowledge gap by assessing QoL and multiple intersecting social determinants of QoL among NH residents with dementia. We will also generate evidence on clusters of intersecting social determinants of QoL. This study will be a prerequisite for future studies to investigate in depth the mechanisms leading to QoL inequities in LTC, longitudinal studies to identify trajectories in QoL, and robust intervention studies aiming to reduce these inequities.

Precision Nutrition Unveiled: Gene-Nutrient Interactions, Microbiota Dynamics, and Lifestyle Factors in Obesity Management.

Obesity is a complex metabolic disorder that is associated with several diseases. Recently, precision nutrition (PN) has emerged as a tailored approach to provide individualised dietary recommendations. This review discusses the major intrinsic and extrinsic components considered when applying PN during the management of obesity and common associated chronic conditions. The review identified three main PN components: gene-nutrient interactions, intestinal microbiota, and lifestyle factors. Genetic makeup significantly contributes to inter-individual variations in dietary behaviours, with advanced genome sequencing and population genetics aiding in detecting gene variants associated with obesity. Additionally, PN-based host-microbiota evaluation emerges as an advanced therapeutic tool, impacting disease control and prevention. The gut microbiome's composition regulates diverse responses to nutritional recommendations. Several studies highlight PN's effectiveness in improving diet quality and enhancing adherence to physical activity among obese patients. PN is a key strategy for addressing obesity-related risk factors, encompassing dietary patterns, body weight, fat, blood lipids, glucose levels, and insulin resistance. PN stands out as a feasible tool for effectively managing obesity, considering its ability to integrate genetic and lifestyle factors. The application of PN-based approaches not only improves current obesity conditions but also holds promise for preventing obesity and its associated complications in the long term.

Automated sepsis detection with vancomycin- and allantoin-polydopamine magnetic nanoparticles

Rapid and accurate identification of the bacteria responsible for sepsis is paramount for effective patient care. Molecular diagnostic methods, such as polymerase chain reaction (PCR), encounter challenges in sepsis due to inhibitory compounds in the blood, necessitating their removal for precise analysis. In this study we present an innovative approach that utilizes vancomycin (Van) and allantoin (Al)-conjugated polydopamine (PDA)-coated magnetic nanoparticles (MNPs) for the rapid and automated enrichment of bacteria and their DNA extraction from blood without inducing clumping and aggregation of blood. Al/Van-PDA-MNPs, facilitated by IMS, eliminate the need for preliminary sample treatments, providing a swift and efficient method for bacterial concentration and DNA extraction within an hour. Employing Al/Van-PDA-MNPs within an automated framework has markedly improved our ability to pre-concentrate various Gram-negative and Gram-positive bacteria directly from blood samples. This advancement has effectively reduced the detection threshold to 102 colony-forming unit/mL by both PCR and quantitative PCR. The method's expedited processing time, combined with its precision, positions it as a feasible diagnostic tool for diverse healthcare settings, ranging from small clinics to large hospitals. Furthermore, the innovative application of nanoparticles for DNA extraction holds promising potential for advancing sepsis diagnostics, enabling earlier interventions and improving patient outcomes.

Assessment of novel electrophysiology simulator—a survey study

BackgroundInvasive electrophysiology (EP) training requires intellectual skills related to the interpretation of intracardiac electrograms. The classic approach to the education of young electrophysiologists focused solely on theoretical knowledge and overseen procedures in patients as no real-life-like simulation of EP studies was available.ObjectiveThe purpose of this study was to assess a novel tool for EP training based on fully interactive, online simulator providing real clinical experience to the users.MethodsEP simulator users access a system with simulated electrocardiogram, mimicking signals recorded by a catheter. Assessment of EP simulator by 40 electrophysiologists from 16 countries was collected via online questionnaire.ResultsThe realism of ECG signals was described as excellent or very good by 90% of responders, of intracardial signals by 82.5%. Realism of signal interactions and user experience was judged as excellent or very good by 75% and 70% accordingly. One hundred percent of users agree definitely or mostly that EP Simulator helps to translate theoretical into practical knowledge. Of responders, 97.5% would include it in EP training programs as it is extremely or very useful for training purposes in the opinion of 87.5%. Of responders, 72.5% think that training on EP simulator can potentially reduce the rate of complications. In 87.5%, the overall experience was completely or mostly satisfying and would be recommended by 100% of responders.ConclusionEP simulator is a feasible tool for training of young electrophysiologist, and it may be potentially included in the cardiologist curriculum. We should particularly emphasize the positive respondents’ assessment of EP simulator overall realism.

Disordered eating behaviors in pediatric patients with inflammatory bowel disease in remission or mild-moderate disease activity.

Inflammatory bowel disease (IBD) is a chronic, autoimmune disorder that affects the gastrointestinal tract. Disordered eating describes irregular eating behaviors that may be a precursor to an eating disorder diagnosis. Higher rates of disordered eating have been described in chronic diseases. Screening for disordered eating is not performed in pediatric patients with IBD. The goal of this longitudinal study was to use the Eating Attitudes Test (EAT-26) to screen pediatric patients with IBD for disordered eating, estimate our population's prevalence, identify potential risk factors, and correlate positive EAT-26 screen results with evaluation in adolescent medicine clinic. Eighty patients with IBD between 10 and 21 years completed the EAT-26 questionnaire during gastroenterology clinic visit. Disease activity was measured using Pediatric Ulcerative Colitis Activity Index (PUCAI) and Pediatric Crohn's Disease Activity Index (PCDAI). Patients also rated their own disease activity on a numerical scale. Five patients had a positive EAT-26 screen and were evaluated in the adolescent medicine clinic. One hundred percent of those who screened positive were diagnosed with a concomitant eating disorder once evaluated. Only 20% of those who screened positive had active IBD. Higher weight, body mass index, and patient perception of disease activity were associated with increased EAT-26 score. Pediatric patients with IBD are at risk for disordered eating, with a prevalence of 6% in our population, which is twice the prevalence of disordered eating in the general population. The EAT-26 questionnaire is a feasible tool to screen pediatric IBD patients for disordered eating.

Prognostic value of the geriatric nutritional risk index and other hematological markers on long-term survival in the geriatric population.

The prognostic value of hematological markers has not been extensively explored in the geriatric population, particularly in the presence of the frailty phenotype among hospitalized individuals. Therefore, our study aimed to assess the influence of the frailty phenotype in hospitalized geriatric individuals on hematological markers and their impact on short- and long-term outcomes. This is a secondary analysis of a prospective cohort study. This study involved hospitalized individuals who were followed during their hospitalization and for nearly 2 years after discharge. At baseline, Fried's frailty phenotype was assessed, as well as hematological markers, including neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, neutrophil-monocyte ratio, platelet-lymphocyte ratio, systemic inflammation index, prognostic nutritional index, geriatric nutritional risk index (GNRI), and C-reactive protein-albumin ratio. The phase angle derived from bioelectrical impedance analysis was likewise considered a prognostic biomarker. Our main outcomes were hospital length of stay and mortality during follow-up. Frailty occurred in 43.2% of the population. Individuals with the frailty phenotype exhibited worse hematological markers and lower phase angle values. Low GNRI and elevated C-reactive protein-albumin ratio values were independently associated with mortality (hazard ratio = 6.88, 95% confidence interval 2.0-23.6; hazard ratio = 2.2, 95% confidence interval 1.1-4.4). Only higher values of the systemic inflammation index were independently associated with prolonged hospital stays. Hematological markers may serve as a feasible tool for prognostic assessment. Individuals with the frailty phenotype and low GNRI represented a worst-case scenario. Geriatr Gerontol Int 2024; 24: 312-318.

Feasibility, acceptability and impact of a clinical decision support tool among primary care providers in an urban, rural and remote site in the Philippines

IntroductionStrengthening primary care helps address health inequities that continue to persist in the Philippines. The Philippine Primary Care Studies pilot-tested interventions to improve the primary care system. One intervention was...

Abstract TP92: Feasibility of a Poststroke Without-Fail Care Rate to Assess Rehabilitation and Follow-Up Care

Introduction: Large cohort studies show substantial variability in poststroke care. We developed a guideline-based poststroke without-fail care rate (PWR) to measure rehabilitation and follow-up care quality (Table 1). Our primary aim was to test PWR feasibility to measure guideline-concordant poststroke care among individuals discharged from an urban safety net hospital. Secondarily, we evaluated socioeconomic strain’s (SES) relationship with PWR. Methods: We reviewed electronic medical records of individuals with acute ischemic stroke (AIS) admitted to an urban safety net hospital from July 1 - August 31, 2022. Individuals were given a pass/fail or ineligible for each process. The PWR, calculated per individual, was passes/total number of eligible processes (score 0-1.0). Results: Out of 30 persons with AIS, 20 were eligible for PWR assessment (Table 2). Mean PWR was 0.598 (SD .210, range .273-.900). Most processes were readily available, with no observable floor or ceiling effects. Lowest pass rates were seen in therapy continuance, PCP follow-up, blood pressure control, and exercise. The PWR difference between individuals with SES (M = .443, SD =.135) and without SES (M = .634, SD = .246) lacked statistical significance but demonstrated a high effect size; t(10) = 1.66, p = .064, d = .961. Conclusion: The PWR is a feasible tool to assess quality of poststroke care and may be useful to identify and evaluate interventions to improve equity and quality of poststroke care. The high effect size of SES warrants further examination in a larger sample.