Informatics Infrastructure Research Articles

The New GGBN Data Portal and GGBN Stable Identifiers

The Global Genome Biodiversity Network (GGBN) Data Portal plays an important role in the global biodiversity informatics infrastructure by providing standardized access to 3.8 million DNA, tissue, and environmental samples as well as 2.4 million associated vouchers and cultures from 39 repositories. In addition, more than 3.5 million references to sequence data can be derived from these records and are accessible through the GGBN Data Portal. By making all these resources available in one portal, GGBN is bridging the gap between sequences, samples and vouchers based on well curated physical collections. In order to increase the usability and interoperability of GGBN data, stable identifiers have been developed based on the Consortium of European Taxonomic Facilities (CETAF) stable identifiers (Güntsch et al. 2017). Each GGBN stable identifier represents a physical object in our member collections, e.g., a sample or voucher. The landing pages for these identifiers will be embedded in a new version of the GGBN Data Portal, which will be launched by the end of 2024. The portal underwent a complete redesign of the user interface, especially the search and members pages. In addition to the stable identifiers, it will then also be possible to search across all four major GGBN resources (data portal, registry, document library, and wiki). This, in particular, will facilitate the access to information on biobank management, Access and Benefit Sharing, tutorials as well as GGBN conference presentations (Figs 1, 2, 3). In this presentation we shared information on the new GGBN Data Portal as well as how the GGBN stable identifiers are structured and their future potential use to enrich data in other infrastructures such as the European Nucleotide Archive (ENA).

A Significant Percentages of Older Prostate Cancer Patients are Being Overtreated

An increasing percentage of older men with intermediate-risk and high-risk prostate cancers are undergoing treatments that carry risks of side effects that can significantly reduce the health-related Quality of Life (hrQoL) without extending life. This trend, observed by researchers at Cedars-Sinai, is problematic because these men may not have life expectancies that would allow them to receive the benefits of more aggressive treatments. Their conclusion is based on results from a study supported in part by VA Merit Review and the Department of Veterans Affairs Health Services Research and Development Service, using resources and facilities at the VA Informatics and Computing Infrastructure (VINCI).

Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)

BackgroundOntologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in an accurate and computable form. However, their construction and maintenance demand substantial resources and necessitate substantial collaboration between domain experts, curators, and ontology experts.We present Dynamic Retrieval Augmented Generation of Ontologies using AI (DRAGON-AI), an ontology generation method employing Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). DRAGON-AI can generate textual and logical ontology components, drawing from existing knowledge in multiple ontologies and unstructured text sources.ResultsWe assessed performance of DRAGON-AI on de novo term construction across ten diverse ontologies, making use of extensive manual evaluation of results. Our method has high precision for relationship generation, but has slightly lower precision than from logic-based reasoning. Our method is also able to generate definitions deemed acceptable by expert evaluators, but these scored worse than human-authored definitions. Notably, evaluators with the highest level of confidence in a domain were better able to discern flaws in AI-generated definitions. We also demonstrated the ability of DRAGON-AI to incorporate natural language instructions in the form of GitHub issues.ConclusionsThese findings suggest DRAGON-AI's potential to substantially aid the manual ontology construction process. However, our results also underscore the importance of having expert curators and ontology editors drive the ontology generation process.

Barriers and facilitators of the use of clinical informatics resources to facilitate pharmacogenomic implementation in resource-limited settings.

Understand perceived barriers to and facilitators of using clinical informatics applications for pharmacogenomic (PGx) implementation in resource-limited settings. We conducted a qualitative research study using a semi-structured interview guide informed by the Consolidated Framework for Implementation Research (CFIR). Interview questions assessed CFIR contextual determinants related to: electronic health record (EHR) infrastructure; clinical informatics personnel and resources; EHR integration of PGx test results; PGx clinical decision support (CDS) tools; institutional resources; and partner receptivity. Transcripts were coded and analyzed to identify themes. We interviewed 24 clinical informaticists and executive leaders working in rural or underserved health care settings in Montana (n = 15) and Colorado (n = 9) and identified three major themes: (1) EHR infrastructure limitations, (2) insufficient supporting resources, and (3) unique contextual considerations for resource-limited settings. EHR infrastructure limitations included limited agency related to EHR build and interoperability concerns. Theme 1 highlighted challenges associated with integrating structured data into the EHR and inadequate vendor support. Theme 2 included limited familiarity with PGx across the care team, cost concerns, and allocation of non-financial resources. Theme 3 highlighted perceptions about the clinical utility of PGx within rural and underrepresented populations. Potential facilitators, such as being able to act nimbly, were found to coexist among the reported barriers. Our results provide insight into the clinical informatics infrastructure in resource-limited settings and identify unique considerations for clinical informatics-facilitated PGx implementation. Future efforts in these settings should consider innovative partnerships and strategies to leverage facilitators and minimize barriers associated with integrating PGx CDS applications.

Disparities in mental health screening for veteran women with a new diagnosis of breast cancer.

222 Background: Compared to the general population, mental health disorders, including depression, are higher for Veteran women. Breast cancer (BC) is the most commonly diagnosed cancer in this population and up to 50% of women will experience depressive symptoms after diagnosis, associated with poor prognosis and survival. An increasing number of Veteran women live in rural areas, where access to behavioral health care may be limited. This study sought to evaluate rural disparities in mental health screening and follow-up evaluation after a new BC diagnosis. Methods: Women Veterans with a new BC diagnosis were identified between 2017 and 2021. Data for mental health screenings [Patient Health Questionnaire (PHQ)-2, PHQ-9, General Anxiety Disorder-7] were collected subsequent to the first BC diagnosis. Rurality was defined per the USDA Rural-Urban Commuting Area (RUCA) codes framework to determine rurality based on population density and commuting patterns. Data were abstracted from several large VA and non-VA datasets, including the Corporate Data Warehouse (CDW) Outpatient files, non-VA Care Medical and Pharmacy System files, Program Integrity Tool, and VA Informatics and Computing Infrastructure for Oncology. Rurality data was specified using CDW designations combined with ZIP-code-level USDA RUCA information. All categorical variables were analyzed using chi-square tests. Means were tested using t-tests. Results: 14,225 Veteran women with a new BC diagnosis were identified. The mean age was 63.4 (SD 11.7). The most common documented race was White (30.6%), followed by Black (15.7%). 59.6% lived in an urban setting as opposed to rural setting (40.4%). In the entire population, only 14% had a mental health screening within 3 months of a cancer diagnosis. Veteran women living in an urban setting were more likely to be screened compared to those living in a rural setting (17.4% vs 9.2%, p < 0.001). For women screened within 3 months, most screened negative, regardless of rurality (76.1% rural, 75.7% urban). Of women who had a positive mental health screen within 3 months, only approximately one-third (31.8% rural, 34.2% urban) had additional screening regardless of rurality. However, for those with a negative initial screen, urban Veterans were more likely to have any additional screening (17% vs 10.2%, p = 0.001). PHQ-2 was the most common mental health screening tool used (73.8%) followed by a combination of PHQ-9 and GAD-7 (9.6%). Conclusions: Mental health screening within 3 months of breast cancer diagnosis is low for Veteran women. There is a significant difference in screening between rural and urban populations. It is critical to both improve mental health screening overall in this population and bridge the disparity gap between screening in rural and urban Veteran women. This may impact not only mental health but also breast cancer outcomes during the period encompassing treatment and survivorship.

Accelerating a learning public health system: Opportunities, obstacles, and a call to action.

Public health systems worldwide face increasing challenges in addressing complex health issues and improving population health outcomes. This experience report introduces the concept of a Learning Public Health System (LPHS) as a potential solution to transform public health practice. Building upon the framework of a Learning Health System (LHS) in healthcare, the LPHS aims to create a dynamic, data-driven ecosystem that continuously improves public health interventions and policies. This report explores the definition, benefits, challenges, and implementation strategies of an LPHS, highlighting its potential to revolutionize public health practice. This report employs a comparative analysis approach, examining the similarities and differences between an LPHS and an LHS. It also identifies and elaborates on the potential benefits, challenges, and barriers to implementing an LPHS. Additionally, the study investigates promising national initiatives that exemplify elements of an LPHS in action. An LPHS integrates data from diverse sources to inform knowledge generation, policy development, and operational improvements. Key benefits of implementing an LPHS include improved disease prevention, evidence-informed policy-making, and enhanced health outcomes. However, several challenges were identified, such as interoperability issues, governance concerns, funding limitations, and cultural factors that may impede the widespread adoption of an LPHS. Implementation of an LPHS has the potential to significantly transform public health practice. To realize this potential, a call to action is issued for stakeholders across the public health ecosystem. Recommendations include investing in informatics infrastructure, prioritizing workforce development, establishing robust data governance frameworks, and creating incentives to support the development and implementation of a LPHS. By addressing these key areas, public health systems can evolve to become more responsive, efficient, and effective in improving population health outcomes.

Exposure to angiotensin-converting enzyme inhibitors that cross the blood-brain barrier and the risk of dementia among People Living with HIV.

The decreased mortality of people living with HIV (PLWH) has revealed non-HIV-associated comorbidities such as neurocognitive disorders (e.g., dementia). There is an urgency to discover therapeutics to prevent or delay neurocognitive decline among PLWH. The artificial intelligence platform Automatic Graph-mining And Transformer based Hypothesis Generation Approach (AGATHA) was utilized to seek potential drugs to be repurposed for the management of non-HIV-associated dementia. AGATHA revealed angiotensin-converting enzyme inhibitors that cross the blood-brain barrier (BBB ACEi) as a target for decreasing dementia. Subsequently, we conducted a retrospective study evaluating incident dementia using the VA Informatics and Computing Infrastructure (VINCI) evaluating ACE inhibitors. Cox proportional hazards models were fit and hazard ratios (HR) with corresponding 95% confidence intervals (CIs) are presented. A total 9,419 PLWH exposed to an BBB ACE inhibitor (ACEi) and 8,831 PLWH unexposed demonstrated that PLWH exposed to BBB ACEi had a 21.4% (univariate) and 15.2% (multivariate) lower hazard of dementia. The propensity score matched analysis demonstrated a 14.3% lower hazard of incident dementia compared to BBB ACEi unexposed (HR 0.857, 95% CI 0.747-0.984). An artificial intelligence-based literature mining system (AGATHA) was utilized to uncover a medication with potential to be repurposed. AGATHA demonstrated that BBB ACEi as a target for decreasing dementia among PLWH. Additionally, we conducted a retrospective study demonstrating a decrease in incident dementia among PLWH exposed to BBB ACEi. Future research is needed to explore further and understand the relationship of dementia among PLWH exposed to ACEi.

Trends in hip fracture rates in US male veterans.

In the United States, the annual incidence of osteoporotic hip fracture is estimated to be 250,000 to 300,000; the one-year mortality in some studies has been as high as 32%. Reports that hip fracture rates in US women 65years and older may no longer be declining led to this investigation of hip fracture in men, a less studied population. We assessed the trends in the incidence of hip fracture in US male veterans 50years and older of age as well as the rates of diagnosis and treatment in such men. We assessed the recent trends of hip fracture incidence in a nation-wide male veteran population 50years and older of age. Using data from the US Veterans Affairs Informatics and Computing Infrastructure (VINCI) 2002-2019, we calculated the annual age-standardized hip fracture incidence. Secondary objectives included evaluating the annual proportion of hip fracture patients who underwent dual-energy X-ray absorptiometry (DXA) before or after the fracture and/or received osteoporosis medication after the hip fracture over the study period. Hip fracture incidence increased in male veterans from 2006 to 2019. Fewer than 6% of men underwent a DXA scan and fewer than 0.5% received osteoporosis medications up to two years after a hip fracture. Despite available screening methods such as DXAs and medications for primary and secondary prevention of osteoporotic fractures, hip fracture incidence is not decreasing in older male veterans. Our study highlights a need for closerattention to fracture risk in men.

Abstract P121: Weight Loss is not a Major Mediator of GLP1-Receptor Agonists’ Risk Reduction in Heart Failure with Preserved Ejection Fraction

The cardioprotective effects of GLP1-Receptor Agonists (GLP1-RA) and SGLT2 Inhibitors (SGLT2i) are incompletely understood. We compared these two drug classes and their effect on HFpEF hospitalizations and examined the hypothesis that weight loss is a significant mediator of these agents’ HFpEF protection. Methods: Using the VA Informatics and Computing Infrastructure, we generated a national cohort of veterans with type 2 diabetes on metformin who initiated SGLT2i, GLP1-RA or Insulin Glargine for the first time from 1/1/18 to 12/31/21. The index date was the date of first outpatient prescription fill. We defined 6-month weight change as change from baseline weight (closest outpatient value prior to index date within 1 year) to 6 months (all averaged outpatient weights from index date to 6 months). Those with prior prescriptions for the study drugs from 1/1/08 and missing baseline or 6-month weights were excluded. HFpEF hospitalizations were defined by a previously-validated natural language processing algorithm using inpatient HF diagnostic codes and cardiac imaging dated closest to and within 180 days of the new code with ejection fraction ≥50%. Follow up was through 3/31/23. We performed mediation analyses to separate the direct effects (independent of 6-month weight change) and indirect effects (mediated through 6-month weight change) of the drug classes on time to HFpEF hospitalizations, adjusted for demographics, comorbidities, baseline labs and other medications, and diabetes severity. Results: Overall, 161,405 veterans initiated one of the study drugs and 105,439 had weight data. After excluding 760 veterans with HFpEF hospitalizations in the first 6 months, 104,679 were included in the analysis. Baseline demographics included mean age 64±11 years, 94% male and 75% white. Baseline BMI was 33±6 kg/m 2 . There were 1494 HFpEF hospitalizations/ 256,101 years of follow-up. Figure 1 shows weight over time by study drug class. Table 1 shows mediation analyses results. Conclusion: GLP1-RA lowered the risk of HFpEF hospitalizations versus the active comparator insulin glargine. This cardioprotection was not mediated by weight loss. GLP1-RA and SGLT2i show equivalent risk reduction. These agents' direct cardiac and vascular effects deserve further exploration.

Linking Maternal and Child Health Data to Enhance Public Health Surveillance and Implement Sustainable Interventions.

Our initiative aims to enhance the public health informatics infrastructure for surveillance of maternal and child health (MCH) using data captured from electronic health records (EHRs), public health information systems, and administrative health data. Our work includes development, validation, and application of linkage algorithms across records for mothers and children; integration of data across myriad sources; design of routine surveillance reports; and design of longitudinal studies to examine determinants and outcomes in MCH populations. Our work is conducted in partnership with governmental public health agencies, health care providers, academic institutions, and community-based organizations. Future work will build on the enhanced informatics infrastructure to draw from additional public health data sources and/or expand surveillance efforts to include prioritized MCH outcomes. We will further translate knowledge gained from surveillance into action, working with our partners to improve and sustain better MCH equitably in our population.

Linking Health Terminologies: A Unified Approach to the WHO Family of International Classifications.

This paper presents an effort by the World Health Organization (WHO) to integrate the reference classifications of the Family of International Classifications (ICD, ICF, and ICHI) into a unified digital framework. The integration was accomplished via an expanded Content Model and a single Foundation that hosts all entities from these classifications, allowing the traditional use cases of individual classifications to be retained while enhancing their combined use. The harmonized WHO-FIC Content Model and the unified Foundation has streamlined the content management, enhanced the web-based tool functionalities, and provided opportunities for linkage with external terminologies and ontologies. This integration promises reduced maintenance cost, seamless joint application, complete representation of health-related concepts while enabling better interoperability with other informatics infrastructures.

Disparities in Acute Lymphocytic Leukemia Outcomes Among Young Adults.

Age is a strong prognostic factor in acute lymphocytic leukemia (ALL), with children doing better than adults with the same disease. One hypothesis for this age-based disparity is differences in treatment regimens. Optimizing care for adolescents and young adults (AYA) with ALL has not been well defined and disparities in care exist. We conducted a retrospective study of all veterans with ALL diagnosed between the ages of 18 and 45 since the year 2000 to evaluate disparities among prognostication methods, treatment regimens, and accrual to clinical trials with regard to age and race/ethnicity and how these factors influence overall survival. Electronic medical record data from the VA Informatics and Computing Infrastructure (VINCI) were used to identify 6,724 patients with an ICD-9 or 10 code for ALL. All patients were chart checked to confirm an ALL diagnosis between the ages of 18 and 45 and excluded if they were diagnosed before 2000, had childhood ALL, or if induction protocol was not recorded. A total of 252 patients were included in the final analysis. Multivariate analysis was performed with controls for age, ALL subtype (B, T, mixed phenotype), Ph status, cytogenetic risk (based on modified Medical Research Council-Eastern Cooperative Oncology Group (MRC-ECOG) study), obesity (body mass index (BMI) > 30), and race. Patients treated with pediatric regimens, including pediatric-inspired regimens, have statistically significant (P = 0.009) survival gains, with a hazard ratio (HR) of 0.52 after controlling for age, obesity, ALL subtype, cytogenetic risk and race. White patients had significantly improved OS compared to people of color (HR 0.57, P = 0.02) after controlling for the aforementioned covariates. Black patients were far less likely (23%) to receive a transplant than non-Black patients (46%). Only 7% of patients were treated on a clinical trial. These data demonstrate that treatment with a pediatric regimen significantly improves overall survival in patients up to the age of 45 and suggests ongoing shortcomings in treatment for young adults with ALL, especially 30 to 45 years old, including persistently high use of adult induction regimens, low rates of referral to clinical trials, and significant racial disparities in bone marrow transplants for Black patients.

Prostate cancer in transgender women: A propensity score-matched analysis of disease severity and survival.

Despite the rise in gender-affirming care, our understanding of prostate cancer (PCa) in transgender women (TGW) remains in its infancy. Health disparities and lack of PCa awareness and screening are possible barriers to providing quality care for this population. In addition, the implication of hormonal manipulation for the aggressiveness of PCa in TGW is yet to be determined. Here, this study sought to compare oncological characteristics and survival outcomes between transgender and cisgender (CG) patients with PCa via two national data sets. The Veterans Affairs Informatics and Computing Infrastructure database (1999-2020) and the Surveillance, Epidemiology, and End Results-Medicare database (2010-2017) were reviewed. Demographic and clinical details were analyzed. Logistic regression analysis was performed on propensity score-matched groups to identify predictors of high-risk disease and metastasis in patients with PCa. Groups were matched 5:1 (CG:TGW) on the basis of age, race, year of diagnosis, and Charlson Comorbidity Index score. Primary outcomes included metastatic presentation, high-risk localized disease, overall survival (OS), and prostate cancer-specific mortality (PCSM). A total of 1194 patients were included (199 TGW; 995 CG). Associations between transgender identity and metastatic presentation (odds ratio [OR], 0.38; p=.2), high-risk localized disease (OR, 1.19; p=.50), or PCSM (hazard ratio [HR], 0.65; p=.3) were not detected. Transgender identity was associated with improved OS (HR,0.67; p=.014). PCa-specific outcomes seem comparable between TGW and CG men, although the study was underpowered to detect modest differences. Further investigation into the incidence and outcomes of PCa in TGW is warranted.

A randomized, embedded, pragmatic, Bayesian clinical trial examining clinical decision support for high flow nasal cannula management in children with bronchiolitis: design and statistical analysis plan

BackgroundHigh flow nasal cannula (HFNC) has been increasingly adopted in the past 2 decades as a mode of respiratory support for children hospitalized with bronchiolitis. The growing use of HFNC despite a paucity of high-quality data regarding the therapy’s efficacy has led to concerns about overutilization. We developed an electronic health record (EHR) embedded, quality improvement (QI) oriented clinical trial to determine whether standardized management of HFNC weaning guided by clinical decision support (CDS) results in a reduction in the duration of HFNC compared to usual care for children with bronchiolitis.MethodsThe design and summary of the statistical analysis plan for the REspiratory SupporT for Efficient and cost-Effective Care (REST EEC; “rest easy”) trial are presented. The investigators hypothesize that CDS-coupled, standardized HFNC weaning will reduce the duration of HFNC, the trial’s primary endpoint, for children with bronchiolitis compared to usual care. Data supporting trial design and eventual analyses are collected from the EHR and other real world data sources using existing informatics infrastructure and QI data sources. The trial workflow, including randomization and deployment of the intervention, is embedded within the EHR of a large children’s hospital using existing vendor features. Trial simulations indicate that by assuming a true hazard ratio effect size of 1.27, equivalent to a 6-h reduction in the median duration of HFNC, and enrolling a maximum of 350 children, there will be a > 0.75 probability of declaring superiority (interim analysis posterior probability of intervention effect > 0.99 or final analysis posterior probability of intervention effect > 0.9) and a > 0.85 probability of declaring superiority or the CDS intervention showing promise (final analysis posterior probability of intervention effect > 0.8). Iterative plan-do-study-act cycles are used to monitor the trial and provide targeted education to the workforce.DiscussionThrough incorporation of the trial into usual care workflows, relying on QI tools and resources to support trial conduct, and relying on Bayesian inference to determine whether the intervention is superior to usual care, REST EEC is a learning health system intervention that blends health system operations with active evidence generation to optimize the use of HFNC and associated patient outcomes.Trial registrationClinicalTrials.gov NCT05909566. Registered on June 18, 2023.

Cytogenetic and molecular features of mixed-phenotype acute leukemia in US veterans and its potential impact on therapy.

e18535 Background: Mixed phenotype acute leukemia (MPAL) is a rare and heterogeneous subtype of acute leukemia. Per the 2022 WHO criteria, it is categorized based on its predominant immunophenotypic lineage (B vs. T) and the presence of a Philadelphia chromosome (Ph+) or a KMT2A rearrangement. While many other cytogenetic and molecular abnormalities have been described, due to the rarity of this disease, neither their incidence nor the role of targeted therapies has been well defined. We conducted a retrospective study of all veterans with MPAL diagnosed between 2000-2023 to examine the impact of different clinical, immunophenotypic, cytogenetic, molecular, and treatment strategies on overall survival (OS). Methods: Electronic medical record data from the Veterans Affairs Informatics and Computing Infrastructure database were used to identify 320 patients diagnosed with MPAL between 2000-2023 using the text utilization integration feature to query all notes. All patient charts were reviewed manually. Pathology reports and clinical notes were reviewed to collect data on diagnosis, treatment, and outcome. To date, 74 patients have been identified and included in this preliminary analysis. Cox regression analyses were used to compare OS between patients with different MPAL subtypes, cytogenetic, and molecular features as well as different treatment approaches. Multivariate analysis was performed with controls for age, race, and BMI. Results: In line with prior research, decreases in OS were seen among older patients > 65 yo compared to patients <30 yo and those who received an AML induction over ALL induction regimen with HR of 8.28 (p 0.04) and 2.02 (p 0.03) respectively. Patients who had a transplant had significantly improved OS with a HR of 0.19 (p <0.001). Of the 32 patients who had potentially targetable mutations, 14 received targeted maintenance therapy with either Ph+ or FLT3 inhibitors. Patients who got targeted maintenance therapy (including FLT3 inhibitors) had an OS of 55 months compared to 17 months for those who did not. 50% of those patients who did not get maintenance therapy went to transplant and 31% of patients who did get maintenance therapy went to transplant yet these patients still had improved OS. Conclusions: This preliminary data demonstrate that while MPAL is a complex and heterogeneous disease, a significant portion of patients have targetable mutations. Further studies evaluating targeted therapies such as FLT3, IDH, and menin inhibitors in MPAL patients may be warranted. [Table: see text]

Application of BIM+GIS Integration Technology in the Construction of Urban Intelligent Water Informatization

Urban intelligent water informatization is the process of managing and operating urban water systems with the use of contemporary information and communication technology in order to increase productivity, security, and sustainability. Establishing the appropriate infrastructure is the initial stage in building an intelligent water system so that management can choose wisely how to manage and operate the water system. Building information modeling (BIM) is a digital depiction of a building's or infrastructure's structural and functional details. In most metropolitan regions, a fast development phase is predicted to cause several water issues, including water resource shortages, floods, poor drainage, and water resource contamination. As a result, a practical approach is required for urban intelligent water information technology with the help of artificial intelligence techniques. Intelligent water systems may be built using Building Information Modeling (BIM) software to increase the system's effectiveness, stability, and durability. By offering a potent tool for storing and analyzing geographical data connected to the water distribution system, a geographic information system (GIS) can play a crucial role in the development of urban intelligent water informatization using ArcGIS mapping Software. The Internet of Things (IoT) system is used to implement intelligent water informatization, hardware implementation using ESP32, and software development using MQTT Broker and Node-Red. As a result, we recommended utilizing BIM+GIS integration technology for building urban intelligent water informatization. The suggested system is evaluated using management efficiency, urban flood control, innovative Construction, intensive management, and computation cost. In this research, the main objective is to identify where there are water leaks broken pipes and early warning system and monitoring system for flash flood disasters in urban areas. The result findings show that the integration of BIM and GIS provides a comprehensive platform for managing complex water informatization infrastructure projects and maximizes efficiency and sustainability.

Harnessing enviromics to predict climate‐impacted high‐profile traits to assist informed decisions in agriculture

AbstractModern agriculture is a complex system that demands real‐time and large‐scale quantification of trait values for evidence‐based decisions. However, high‐profile traits determining market values often lack high‐throughput phenotyping technologies to achieve this objective; therefore, risks of undermining crop values through arbitrary decisions are high. Because environmental conditions are major contributors to performance fluctuation, with the contemporary informatics infrastructures, we proposed enviromic prediction as a potential strategy to assess traits for informed decisions. We demonstrated this concept with wheat falling number (FN), a critical end‐use quality trait that significantly impacts wheat market values but is measured using a low‐throughput technology. Using 8 years of FN records from elite variety testing trials, we developed a predictive model capturing the general trend of FN based on biologically meaningful environmental conditions. An explicit environmental index that was highly correlated (r = 0.646) with the FN trend observed from variety testing trials was identified. An independent validation experiment verified the biological relevance of this index. An enviromic prediction model based on this index achieved accurate and on‐target predictions for the FN trend in new growing seasons. Two applications designed for production fields illustrated how such enviromic prediction models could assist informed decision along the food supply chain. We envision that enviromic prediction would have a vital role in sustaining food security amidst rapidly changing climate. As conducting variety testing trials is a standard component in modern agricultural industry, the strategy of leveraging historical trial data is widely applicable for other high‐profile traits in various crops.

442 A Ventriculomegaly Feature Computation Pipeline to Improve the Screening of Normal Pressure Hydrocephalus on Computed Tomography

INTRODUCTION: Normal pressure hydrocephalus (NPH) commonly presents with a triad of gait disturbance, incontinence, and memory impairment. Shunt placement effectively treats symptoms; however, NPH is commonly misdiagnosed with below 20% of patients receiving a diagnosis. Given undiagnosed NPH elderly patients often present to the emergency room (ER) with falls, algorithmic identification of NPH using non-contrast CT (NCCT) may improve diagnosis rate. METHODS: NCCTs for 84 patients with NPH, 72 headache controls (HC), 97 Alzheimer’s Disease (AD) patients, and 61 post-traumatic encephalomalacia (PTE) patients were identified using Veterans Affairs Informatics and Computing Infrastructure. Image processing pipelines were developed to extract a novel feature capturing lateral ventricle eccentricity (MaxEccLV), a proxy-Splenial Angle (p-SA), the Evans indices (EI-x, y, z), Callosal angle (CA), third ventricle width (NMax-3VW), and CSF to brain volume ratio (CSF2BVR). T-tests were used to examine group differences and logistic regression to classify between NPH, AD, PTE, and HC. RESULTS: The AUC, sensitivity, and specificity for NPH versus AD+HC+PTE was 0.94, 83.0%, and 87.0% respectively. For NPH versus HC, it was 0.98, 98.8%, and 98.6% respectively. For NPH versus AD, it was 0.90, 84.5%, and 82.5% respectively. For NPH versus PTE, it was 0.95, 91.7%, and 86.9% respectively. Significant differences were seen between NPH and HC, AD, and PTE in MaxEccLV and all other features. CONCLUSIONS: The computational pipeline proposed here can identify NPH from HCs and ventriculomegaly-causing conditions using NCCT with a high sensitivity and specificity. This may help capture undiagnosed NPH patients receiving a NCCT due to presentation to the ER as a fall.

Impact of Tracheostomy Timing Within the National Veterans Affairs Population.

There is a lack of a definitive study in the literature comparing early versus late tracheostomy and exploring the impact of tracheostomy timing on patient outcomes. This study may help guide treatment paradigms and contribute to a consensus for optimal tracheostomy timing. A retrospective review was performed comparing early versus late timing of tracheostomy placement and their respective outcomes. The authors used data provided by VA Informatics and Computing Infrastructure (VINCI) to find patients who received a tracheostomy at any VA Medical Center in the United States. There were a total of 25,334 tracheostomies in the database which satisfied our criteria. These occurred between the years 1999 and 2022. Propensity score matching assessed 17,074 tracheostomies, 8537 in either group. The median age of patients in the matched groups was 66 years, and approximately 97.4% of patients were male. Early tracheostomy timing was defined as the placement of the tracheostomy within 10 days of intubation. Outcomes included post-tracheostomy intensive care unit (ICU) days, post-tracheostomy hospital days, successful ventilator weaning, and all-cause mortality. Early tracheostomy was associated with significantly fewer ICU days and hospital days, and the early group experienced higher rates of successful ventilator weaning. Survival analysis of data within 5 years of tracheostomy showed that early tracheostomy was associated with significantly lower hazard for all-cause mortality. Our results add to the body of evidence that an earlier transition to mechanical ventilation by tracheostomy confers benefits in patient morbidity and mortality as well as resource utilization. 3 Laryngoscope, 134:3555-3561, 2024.

Common data elements for arthrogryposis multiplex congenita: An international framework.

To facilitate multisite studies and international clinical research, this study aimed to identify consensus-based, standardized common data elements (CDEs) for arthrogryposis multiplex congenita (AMC). A mixed-methods study comprising of several focus group discussions and three rounds of modified Delphi surveys to achieve consensus using two tiered-rating scales were conducted. Overall, 45 clinical experts and adults with lived experience (including 12 members of an AMC consortium) participated in this study from 11 countries in North America, Europe, and Australia. The CDEs include 321 data elements and 19 standardized measures across various domains from fetal development to adulthood. Data elements pertaining to AMC phenotypic traits were mapped according to the Human Phenotype Ontology. A universal governance structure, local operating protocols, and sustainability plans were identified as the main facilitators, whereas limited capacity for data sharing and the need for a federated informatics infrastructure were the main barriers. Collection of systematic data on AMC using CDEs will allow investigations on etiological pathways, describe epidemiological profile, and establish genotype-phenotype correlations in a standardized manner. The proposed CDEs will facilitate international multidisciplinary collaborations by improving large-scale studies and opportunities for data sharing, knowledge translation, and dissemination.