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At least 541 records · Page 30Linked to original sources

Distribution volume ratios without blood sampling from graphical analysis of PET data.

The distribution volume ratio (DVR), which is a linear function of receptor availability, is widely used as a model parameter in imaging studies. The DVR corresponds to the ratio of the DV of a receptor-containing region to a nonreceptor region and generally requires the measurement of an arterial input function. Here we propose a graphical method for determining the DVR that does not require blood sampling. This method uses data from a nonreceptor region with an average tissue-to-plasma efflux constant k2 to approximate the plasma integral. Data from positron emission tomography studies with [11C]raclopride (n = 20) and [11C]d-threo-methylphenidate ([11C]dMP) (n = 8) in which plasma data were taken and used to compare results from two graphical methods, one that uses plasma data and one that does not. k2 was 0.163 and 0.051 min-1 for [11C]raclopride and [11C]dMP, respectively. Results from both methods were very similar, and the average percentage difference between the methods was -0.11% for [11C]raclopride and 0.46% for [11C]dMP for DVR of basal ganglia (BG) to cerebellum (CB). Good agreement between the two methods was also achieved for DVR images created by both methods. This technique provides an alternative method of analysis not requiring blood sampling that gives equivalent results for the two ligands studied. It requires initial studies with blood sampling to determine the average kinetic constant and to test applicability. In some cases, it may be possible to neglect the k2 term if the BG/CB ratio becomes reasonably constant for a sufficiently long period of time over the course of the experiment.

Basal Ganglia↗

The experiences of elderly people in geriatric care with special reference to integrity.

The aim of this study was to obtain an increased understanding of the experiences of elderly people in geriatric care, with special reference to integrity. Data were collected through qualitative interviews with elderly people and, in order to obtain a description of caregivers' integrity-promoting or non-promoting behaviours, participant observations and qualitative interviews with nursing students were undertaken. Earlier studies on the integrity of elderly people mainly concentrated on their personal and territorial space, so Kihlgren and Thorsén opened up the possibility of considering the concept of integrity from a broader view by recognizing its relationship to the larger framework of the self-concept. Based on this, findings in the present study indicate that elderly people's integrity relating to their corporal self were the least violated. On the other hand, their psychological, information and cultural selves were the most exposed. The study also identified a further dimension (i.e. one relating to social self), which should be included in the concept of integrity because respecting elderly people's social self reduces their feelings of loneliness, isolation and seclusion. In summary, the results indicate that the concept of integrity is complex and has several dimensions.

Aged↗

Personalizing web information for patients: linking patient medical data with the web via a patient personal knowledge base.

This paper describes ongoing study that examines problems with existing patient health information sources and investigates an approach for linking (i.e. integrating) data from a patient's medical record(s) with relevant health information on the web. The aim is to provide patients with simplified, customized and controlled access to web information. Data from patient medical records are extracted and linked with relevant health information on the web through a web search service. These are made available to patients through a web portal that we refer to as the patient knowledge base (PatientKB). Our integration approach utilizes term semantics (i.e. meaning) to enrich the web search and simplify medical terms for patients. In the current implementation, patients have guided, secure and relatively customized access to basic and relevant web information on their diagnoses. Future implementation will attempt to achieve further customization, extensibility and safety features. This paper investigates how ideas presented in an earlier study can be implemented.

Humans↗

Mapping from a clinical data warehouse to the HL7 Reference Information Model.

Large-scale data integration efforts to support clinical and biologic research are greatly facilitated by the adoption of standards for the representation and exchange of data. As part of a larger project to design the necessary architecture for multi-institutional sharing of disparate biomedical data, we explored the potential of the HL7 Reference Information Model (RIM) for representing the data stored in a local academic clinical data warehouse. A necessary first step in information exchange with such a warehouse is the development and utilization of tools for transforming between local data schemas and standards-based conceptual data models. We describe our initial efforts at mapping clinical concepts from a relational data warehouse to the HL7 RIM.

Computer Communication Networks↗

Informatics for mutagenesis: the design of mutabase--a distributed data recording system for animal husbandry, mutagenesis, and phenotypic analysis.

The increasing use of high-throughput methods for the production of biologically important information and the increasing diversity of that information pose considerable bioinformatics challenges. These challenges will be met by implementing electronic data management systems not only to capture the data, but increasingly to provide a platform for data integration and mining as we enter the post-genomic era. We discuss the design and implementation of such a data capture system, 'Mutabase', as a model of how such electronic systems might be designed and implemented. Mutabase was created in support of a large-scale, phenotype-driven mouse mutagenesis program at MRC Mammalian Genetics Unit, Harwell, in collaboration with SmithKline Beecham Pharmaceuticals, Queen Mary and Westfield College, London, and Imperial College of Science, Technology and Medicine, London. The aim of this mutagenesis project is to make a significant contribution to the existing mouse mutant resource, closing the phenotype gap and providing many more models for fundamental research and disease modeling. Mutabase records experimental details at the 'point of generation' and provides a number of dissemination and analysis tools for the experimental data, as well as providing a means of assessing various aspects of progress of the program. Mutabase uses a hypertext-based interface to provide interaction between a number of intranet-based client workstations and a central industrial strength database. Mutabase utilizes a variety of techniques in order to implement the user interface system including Perl/CGI, Java Servlets, and an experimental CORBA server. We discuss the relative merits of these methods in the context of the need to provide sound informatics approaches for the support of systematic mutagenesis programs.

Animal Husbandry↗

Integrating multi-omics approaches in acute myeloid leukemia (AML): Advancements and clinical implications.

Acute myeloid leukemia (AML) is a highly heterogeneous and aggressive hematologic malignancy characterized by clonal proliferation of myeloid precursors. Despite significant advancements in genomic profiling and targeted therapies, patient outcomes remain suboptimal due to disease complexity, resistance mechanisms, and high relapse rates. The integration of multi-omics approaches-spanning genomics, epigenomics, transcriptomics, proteomics, and metabolomics-has revolutionized AML research, offering a comprehensive understanding of leukemogenesis, tumor heterogeneity, and therapeutic vulnerabilities. Recent studies leveraging high-throughput sequencing, mass spectrometry, and advanced computational tools have uncovered novel biomarkers, clonal evolution dynamics, and microenvironmental interactions that drive AML progression and resistance. For instance, single-cell multi-omics has revealed chemotherapy-resistant leukemic stem cell populations, while proteogenomic analyses have identified actionable targets such as MCL1 and metabolic dependencies like OXPHOS. Clinically, integrated omics platforms are refining risk stratification, minimal residual disease (MRD) monitoring, and personalized therapy selection. However, challenges such as data integration complexity, cost barriers, and ethical considerations remain. This review highlights the transformative potential of multi-omics in AML, emphasizing recent advancements in technology, biomarker discovery, and therapeutic innovation. By bridging the gap between molecular insights and clinical practice, multi-omics integration promises to redefine AML management, paving the way for precision oncology and improved patient outcomes.

Humans↗

Managing the primary care practice on the Web

Physicians and administrators have little hope of responding appropriately to the challenges of the health care market without data to support decision making. Desired Mayo Clinic s Primary Care Practice was to have the ability to access and integrate data from many platforms in many formats from the Enterprise and bring this information to the desktop in a robust interactive display. The solution was delivery of the data to the Web through an interface using Java with access to Online Analytical Processing (OLAP) tools for summarization, graphical display and reporting. Communicating major trends, assisting in planning and management, visually displaying alerts in summary data and individual patients that are all possible through an easy-to-use Web application. To really understand what the summarized data represents, the physicians must be able to drill down, download and explore their own detail data. A pilot project was developed to test the capabilities of the development environment, the acceptance Web tools, the ability to deliver timely information and the methodology of using a multi-dimensional database to define the data. The Family Medicine practice at four separate locations was chosen for the demonstration project. Two practices in Rochester, MN and practices in two smaller towns, totaling 50 physicians and administrative personnel, were the first clients using the system. A cross-functional team examined a variety of development issues such as data sources, data definitions, levels of security, data analysis types, and style of display. Demonstrations of the prototype met with an overwhelming positive response from administrators and department leaders. The Physician Patient Management solution collects, analyzes, and communicates the information needed to meet today s health care challenges.

Journal Article↗

Learning to leverage existing information systems: Part 1. Principles.

BACKGROUND: The success of performance improvement efforts depends on effective measurement and feedback regarding clinical processes and outcomes. Yet most health care organizations have fragmented rather than integrated data systems. Methods and practical guidance are provided for leveraging available information sources to obtain and create valid performance improvement-related information for use by clinicians and administrators. CASE VIGNETTE: At Virginia Mason Health System (VMHS; Seattle), a vertically integrated hospital and multispecialty group practice, patient records are paper based and are supplemented with electronic reporting for laboratory and radiology services. Despite growth in the resources and interest devoted to organization-wide performance measurement, quality improvement, and evidence-based tools, VMHS's information systems consist of largely stand-alone, legacy systems organized around the ability to retrieve information on patients, one at a time. By 2002, without any investment in technology, VMHS had developed standardized, clinic-wide key indicators of performance updated and reported regularly at the patient, provider, site, and organizational levels. LEVERAGING EXISTING SYSTEMS: On the basis of VHMS's experience, principles can be suggested to guide other organizations to explore solutions using their own information systems: for example, start simply, but start; identify information needs; tap multiple data streams; and improve incrementally.

Data Collection↗

[Linkage of environmental and health data: health risk analysis of the Rio de Janeiro water supply by using geographical information systems].

Exposure assessment of population groups is based on linkage of environmental and health data. This relationship can be hard to establish due to spatial and temporal lags in data sets. Environmental data generally refer to scattered sampling points, while epidemiological data integrate periods of time within administrative territories. GIS can be used as a basis for organizing health-related and environmental data sets. We examined potential health risk in the Rio de Janeiro city water supply based on the overlay of information layers containing data on the presence and quality of water supply services. We used census tracts as the primary georeferenced data, since they contain information on how households are supplied, water supply pipes, sources, and reservoirs, and water quality according to the monitoring program. Population groups exposed to risks were located and quantified using spatial operations among these layers and adopting different risk criteria. The main problems related to water supply are located on the northern slope of the Tijuca Mountain Range (involving the absence or poor quality of water) and in the western area of the city of Rio, where the population relies on alternative water supply sources. The different origins, objectives, and structures of data have to be analyzed critically, and GIS can be used as a data validation tool as well as an instrument for detailed identification of inconsistencies.

Brazil↗

Multi-omics approaches in idiopathic pulmonary fibrosis: from molecular mechanisms to therapeutic targets and precision medicine.

Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease with limited therapeutic options and marked molecular heterogeneity. Despite available antifibrotic therapies, disease progression remains poorly predictable, highlighting the need for improved mechanistic understanding and therapeutic targeting. This review summarizes recent advances in multi-omics research to elucidate the molecular mechanisms underlying IPF and to identify potential biomarkers and pharmacological targets. Multi-omics studies, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome profiling, and single-cell sequencing, have revealed key pathogenic mechanisms in IPF. Genetic susceptibility factors such as MUC5B promoter variants and telomere-related genes contribute to disease risk. Epigenetic regulation, including DNA methylation, histone modifications, and non-coding RNAs, plays a central role in fibrotic remodeling. Transcriptomic and proteomic analyses have identified dysregulated signaling pathways, including TGF-β, mTOR, cellular senescence, and extracellular matrix remodeling. Metabolomic alterations indicate disrupted lipid and amino acid metabolism. Importantly, integration of multi-omics datasets enables the identification of molecular endotypes, candidate biomarkers, and potential therapeutic targets. However, challenges including data integration, tissue heterogeneity, limited cohort size, and the need for functional validation remain important barriers to clinical translation. Continued development of multi-omics approaches may facilitate more accurate disease classification and support the development of personalized therapeutic strategies for IPF.

biomarkers↗

Communicable-disease surveillance in New Jersey.

The DHSS and federal agencies have expanded their surveillance efforts to improve existing methods of reporting notifiable communicable diseases and to include additional data sources that might provide a more comprehensive view of disease activity in New Jersey. Currently, the DHSS is evaluating these efforts and recognizes several issues that need to be addressed, including: assessment of the timeliness, completeness, and accuracy of surveillance data; validation of surveillance data through comparison with hospital uniform billing data; characterization of the sensitivity of alerts through examination of reasons for identified aberrations in disease activity; evaluation of DHSS staffs and LINCS epidemiologists' follow-up efforts in response to alerts; evaluation of cumulative data trends to determine patterns in baseline disease activity (e.g., variations in disease activity attributed to seasonality); development of methods to integrate data from all surveillance efforts to provide timely, comprehensive, and coordinated summaries of disease activity and to distribute these summaries regularly to all New Jersey public health partners to better inform public health and clinical management; and development of a coordinated multi-agency response plan in conjunction with adjacent states. Though the DHSS hopes that these surveillance efforts will contribute to the early detection of sentinel events that might represent possible bioterrorist or emerging infectious disease threats, the DHSS will also need to engage the medical community more fully in surveillance activities. In previous experiences, astute clinicians were responsible for the identification of the first cases of West Nile virus, anthrax, and SARS. Therefore, to further ensure the success of its surveillance efforts, the DHSS will also need to continue educating clinicians about its surveillance activities and the importance of timely reporting of patients with illness patterns that might suggest an unusual infectious disease outbreak associated with bioterrorism or emerging infectious diseases.

Communicable Disease Control↗

A reappraisal of current methods for the assessment of planar gamma camera performance.

This study reappraises the acquisition parameters defined by three current protocols for the specification of planar gamma camera performance. These are the manufacturer Standards of the National Electrical Manufacturers' Association [1] and the International Electrotechnical Commission [2], and the user-orientated protocol of the UK Department of Health (DoH, formerly DHSS) Gamma Camera Performance Assessment Group [3]. The study looks specifically at three major planar performance characteristics: intrinsic non-uniformity, intrinsic spatial resolution and intrinsic non-linearity (spatial distortion). Acquisition parameters specified for these characteristics are investigated by testing a range of values for each parameter around those figures currently advocated by the three protocols. Those acquisition parameters which may be relaxed without loss of data integrity are identified and the adoption of revised parameters for some measurements within the DoH assessment protocol is suggested. Reviewing the data obtained, observations are made regarding the accuracy of some tests performed regularly for quality control purposes. The feasibility and advantages of incorporating some suitably modified DoH performance assessment tests within a routine quality assurance protocol for the gamma camera are also discussed.

Gamma Cameras↗

The Danish Cancer Registry--history, content, quality and use.

The Danish Cancer Registry is a population-based registry containing data on the incidence of cancer throughout Denmark since 1943. Reporting of cancer was made mandatory by administrative order in 1987. Details of individual cases of cancer are available according to the 7th revision of the International Classification of Diseases (ICD) for all years, and according to the ICD-O since 1978. A core data set is kept on each individual which includes date of birth, sex, date of cancer diagnosis, method of verification, date of death and cause of death. This paper describes the history of the registry, its data sources and its procedures, including quality control and access to data. Integration of both research activities and registration since the inception of the Registry has maintained the completeness and validity of the data for 1943-1996.

Databases, Factual↗

Security and confidentiality in an electronic medical record.

The maintenance of privacy and confidentially must remain a core principle of the interaction between patients and medical staff. Traditionally, the single paper copy of the medical history has been treated with systematic handling, careful tracking, and respect for the integrity and confidentiality of the contents. The widespread availability of computerized information requires that these principles be maintained in the electronic environment. Security measures should protect sensitive data without hindering medical practice. At Mayo, we have established data security policies and standards for the handling of all electronic information. Dissemination and communication of these standards and guidelines are an ongoing challenge. Technical maneuvers can be employed to protect data integrity, identify users, and monitor compliance. Personnel policies must be updated to reflect the responsibilities and liabilities of the electronic environment. Practice efficiencies and access to clinical data must be balanced by individual responsibility and accountability for privileged patient information.

Computer Security↗

Providing easy access to distributed medical data.

Many hospitals are fragmented along departmental boundaries, leading to islands of information about patients. This makes data integration difficult, and therefore can increase hospital costs and reduce patient care. This paper presents an architecture to provide uniform and transparent access to computerized data and functions available in this kind of heterogeneous computer environment.

Computer Communication Networks↗

MitoP2: the mitochondrial proteome database--now including mouse data.

The MitoP2 database (http://www.mitop.de) integrates information on mitochondrial proteins, their molecular functions and associated diseases. The central database features are manually annotated reference proteins localized or functionally associated with mitochondria supplied for yeast, human and mouse. MitoP2 enables (i) the identification of putative orthologous proteins between these species to study evolutionarily conserved functions and pathways; (ii) the integration of data from systematic genome-wide studies such as proteomics and deletion phenotype screening; (iii) the prediction of novel mitochondrial proteins using data integration and the assignment of evidence scores; and (iv) systematic searches that aim to find the genes that underlie common and rare mitochondrial diseases. The data and analysis files are referenced to data sources in PubMed and other online databases and can be easily downloaded. MitoP2 users can explore the relationship between mitochondrial dysfunctions and disease and utilize this information to conduct systems biology approaches on mitochondria.

Animals↗

The Indiana network for patient care: an integrated clinical information system informed by over thirty years of experience.

Presented in this article is the Indiana Network for Patient Care, an integrated citywide medical record system that promotes health quality by enabling efficient access to clinical information. It begins with a description of the system's infrastructure, which includes an explanation of how the system accomplishes data integration. This is followed by a series of descriptions and rationales behind the many clinical applications that interface these data. In doing so, some of the factors that we feel contribute to the success of the system are illustrated.

Databases, Factual↗

A description of cattle movements in two departments of Buenos Aires province, Argentina.

We present a descriptive analysis of cattle movement information retrieved from the Argentinean animal movement database for two departments in the province of Buenos Aires during 2004. For each quarter of the year (January to March, April to June, July to September, and October to December) we report the number of on- and off-farm movement events for the purpose of finishing. Our analyses show that the distribution of the number of finishing-related movement events per farm was skewed, with the majority of farms reporting at least 1 and less than 5% of farms of reporting greater than 15 finishing related movement events throughout the year. The frequency of finishing-related movement events varied over time, with a 1.2-1.8-fold increase in reported movement events from April to September, compared with the rest of the year. These analyses indicate that cattle movement patterns in these departments are dependent on the relative mix of constituent cattle enterprise types. Departments with a mixture of breeding and finishing enterprises behave as potential recipients and distributors of infectious disease, whereas departments comprised of primarily finishing enterprises are predominantly recipients of infectious disease, rather than distributors. Data integrity audits of the Argentinean animal movement database, on a regular or intermittent basis, should allow the presence of bias in these data to be quantified in greater detail.

Animal Husbandry↗