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Development of a computerized infectious disease monitor (CIDM).

At the LDS Hospital in Salt Lake City, an interface was developed between the microbiology laboratory computer system and the HELP integrated central hospital computer system. The HELP system includes medical information from most clinical care support areas. The microbiology data are translated from the laboratory computer file structure to a hierarchical data structure on the HELP system. A knowledge base was created with the help of infectious disease experts, and became part of a Computerized Infectious Disease Monitoring system (CIDM). The knowledge base is automatically activated when specific microbiology data are entered into a patient's computer file (data driven), thus decisions are made automatically with no additional effort required of medical personnel. The CIDM was designed to inform infectious disease personnel when a patient has one of the following conditions: a hospital-acquired infection, an infection at a normally sterile body site, an infection due to a bacteria with an unusual antibiotic sensitivity pattern, an infection for which the patient is not receiving an antibiotic to which the offending bacteria is sensitive, an infection that could be treated with a less expensive antibiotic, an infection which is required by law to be reported to state and national health authorities, and those patients receiving prophylactic antibiotics longer than is medically indicated. All of the microbiology data are now extensively reviewed by nurses and physicians from terminals at nursing stations or intensive care units. The CIDM is currently being used for hospital-acquired infection surveillance at LDS Hospital.

Anti-Bacterial Agents↗

Social class and race disparities in premature stroke mortality among men in North Carolina.

The purpose of this work was to examine the association between social class and premature stroke mortality among blacks and whites. For black men and white men in North Carolina, aged 35-54 years, mortality data from vital statistics files and population data from Census Public Use Microdata Sample files were matched according to social class for the years 1984-1993. Four categories of social class were defined based upon a two-dimensional classification scheme of occupations. For each category of social class, race-specific age-adjusted stroke mortality rates were calculated, and race-specific prevalences of income, wealth, education, unemployment, and disability were estimated. Women were excluded because comparable information on social class was not available from the mortality and population data sources. For both black men and white men, the highest rates of premature stroke mortality were observed among the lowest social classes. The rate ratios (RR) between the lowest and highest social class were 2.8 for black men and 2.3 for white men. Within each social class, black men had substantially higher rates of premature stroke mortality than white men (black-to-white RR ranged from 4.0 to 4.9). Among both black men and white men, the highest social class consistently had the most favorable levels of income, wealth, education, and employment. The inverse association between social class and stroke mortality for both black men and white men supports the need for stroke prevention efforts that address the structural inequalities in economic and social conditions.

Adult↗

Record linkage to conduct an epidemiologic study on the association of rheumatoid arthritis and lymphoma in the Province of Saskatchewan, Canada.

The objective of this effort was to assess the utility of the large automated database in Saskatchewan as a resource for pharmacoepidemiologic studies. To this end a study was undertaken to test the hypothesis that rheumatoid arthritis (RA) increases the risk of cancer, especially lymphoma. This was done by performing a retrospective cohort study based on record linkage data from Saskatchewan Health. From hospital discharge diagnoses in the hospital file an exposed group (RA) and two comparison groups matched to the RA group by age and sex were identified: (1) the RA group consisted of people with a discharge diagnosis of rheumatoid arthritis; (2) the osteoarthritis (OA) group consisted of people with OA discharge diagnoses; and (3) a comparison (CN) group consisted of hospitalized people with no discharge diagnoses of arthritis. Drug exposures were determined by linkage with the Prescription Drug File, cancer outcomes were determined by linkage with the Cancer Foundation file, and length of eligibility in the health plan and demographics information were determined by linkage with the registration file. The data were checked for quality of linkages across files and consistency with study definitions. Of 13,333 identified subjects, 2.8% were excluded because of apparent incorrect assignment to study group or age group or because of ineligibility in health plan during the study period. In order to decrease the possibility of misclassification of exposure (rheumatoid arthritis), hospital discharge diagnoses were used to exclude subjects with any inflammatory rheumatic diseases (IRD) from the CN (7.8%) and OA (8.3%) groups and subjects with IRD other than rheumatoid arthritis (4.6%) from the RA group. To decrease selection bias, those who had cancer within 1 year of enrollment (to exclude those in hospital because of symptoms of undiagnosed cancer) were excluded. Because RA subjects hospitalized by a rheumatologist were most likely to have valid rheumatoid arthritis diagnoses, each analysis was run twice: once with the entire RA group (N = 1210) and once with those in the RA group who were rheumatologist-hospitalized (N = 646). Logistic regression of incidence was used to control for age, sex, and use of individual disease-modifying anti-rheumatoid drugs (DMARDs). For the rheumatologist-hospitalized RA group compared to the CN group, a significant 4-fold greater risk for lymphoma/myeloma was detected when DMARD use was not controlled for, and a 3.4-fold increase in risk was detected even when use of individual DMARDs was controlled for.(ABSTRACT TRUNCATED AT 400 WORDS)

Arthritis, Rheumatoid↗

An automatized computer-method utilizing Procomm Plus and DataEase (4.2) PC and SAS (6.06) mainframe software for isolated, perfused guinea-pig heart studies.

A powerful, time sharing and automatized method of a comprehensive data analysis for isolated, perfused guinea-pig heart studies is described. Data are collected using DataEase PC software (version 4.2) into forms with data fields specified for vital parameters consistently recorded in isolated, perfused heart studies (HR, CBF, PEAKPRESSURE, DPDT, MVO2). After running, DataEase reports the data and information is uploaded to an IBM 3081D mainframe computer on each day of heart experiment and data collection. The uploading process, the data archival and the statistical analyses are automatized by Procomm Plus commands written in Aspect Source Program (.ASP) Files for logging, data transforming and file management procedures. The ASPCOMP.EXE compiler compiles these .ASP files into Aspect Script eXecutable (.ASX) programs, which run on the PC in our laboratory and activate WYLBUR (IBM 3081D Batch-job service and Command file processor) edited files in the mainframe's electronic devices then upload, backup and save data into these files. SAS EXE files containing program instructions for the data analyzing system are then forced by Procomm Plus to operate over the data just uploaded. SAS reads the DATA files by its INFILE facility and performs comprehensive statistical analyses and produces hard output including graphics and JOB reports of dose-response- and logaritmic scale curves for delivery to team members. This computerized and automatized method developed for isolated, perfused guinea-pig heart studies is capable of performing multiple file transfer, sophisticated statistical analyses and graphic procedures after one keystroke on the PC (Alt-F5 in Procomm Plus section) and also facilitates a consistent and convenient method for planning, controlling and standardizing experiments. The method is based on an interactive computer conversation between the PC in the laboratory and the remote's WYLBUR editor. No human presence is needed; however, in case of failure, Procomm Plus gives one of the team members supervising the system a phone call in order to get human help.

Animals↗

Implementation of a statewide perinatal automated medical network (PAM/NET) for Michigan.

PAM/NET is a computerized data base and conferencing system used by nine neonatal intensive care units in Michigan and Illinois. The system depends on the timesharing resource of a large university mainframe computer. The data base functions are managed by a sophisticated inverted file relational data base management system capable of mass storage and rapid and specific retrieval of individual cases or summary data. Data stored in the system are used to generate admission, discharge and developmental assessment clinic summaries that serve as such for the medical record and as letters to primary physicians. We report here the early experience in the design and dissemination of this database network to the participating hospitals. Conflicting goals of sharing and confidentiality of clinical data are addressed in the design of this system.

Ambulatory Care Facilities↗

Exenatide: from the Gila monster to the pharmacy.

OBJECTIVE: To explain the incretin concept and review the pharmacology and clinical utility of exenatide (Byetta-Amylin; Lilly), a new agent for the treatment of patients with type 2 diabetes mellitus, and provide pharmacists with information necessary for counseling patients in the use of exenatide. DATA SOURCES: Review articles, clinical trials, and data on file with the manufacturers. STUDY SELECTION: By the authors. DATA EXTRACTION: By the authors. DATA SYNTHESIS: Exenatide is a synthetic form of a protein found in the saliva of the Gila monster that mimics the action of glucagon-like peptide-1, an incretin important in glucose homeostasis and deficient in patients with diabetes mellitus. Three pivotal clinical trials of exenatide as an add-on therapy in patients with type 2 diabetes mellitus who were unable to achieve glycemic control with maximum doses of metformin, sulfonylurea, or these drugs in combination demonstrated significant reductions in glycosylated hemoglobin (A1C) levels following twice-daily self-injection of exenatide compared with placebo. Weight loss was observed in patients in conjunction with A1C improvement, which occurred without additional patient instruction, intentional caloric deficit, or exercise. Mild-to-moderate nausea was the most common adverse event with exenatide treatment, occurring at the beginning of therapy, lessening over time, and reduced by titration of the dose. CONCLUSION: Exenatide offers a wide range of beneficial glucoregulatory effects, including enhancement of glucose-dependent insulin secretion, restoration of first-phase insulin response, suppression of inappropriately elevated glucagon secretion, slowing of gastric emptying, and reduction of food intake. These positive effects depend on the patient's understanding of the proper administration technique and timing, the need for continued adherence, and what to do if adverse effects occur, all elements that can be conveyed by pharmacists in their counseling and education of patients with type 2 diabetes mellitus.

Animals↗

A program for analyzing enzyme rate data obtained from a microplate reader.

A computer program (microplate analysis [MPA] program) is described that allows manipulation of kinetic data obtained from a microplate reader. It is particularly useful for obtaining enzyme velocities from microplate data. Data can be displayed either as an 8 x 12 grid which shows all microplate wells at low resolution or as single enzyme progress curves which show the reaction time course in greater detail and allow data manipulation (single curve mode). In the single curve mode, the X-axis of the progress curves can be displayed either as discrete time points numbered from the first to the last or as real time in seconds. The program can calculate the maximum, minimum or initial reaction rate by either linear or robust regression. In the single curve mode, the user can control the range of data points included in the regression analysis and the number of data points over which the rate is averaged. In this way, the maximum (or minimum) rate within a specific range of data can be determined. The major advantage of the MPA program is that the range settings are specific to each well. This gives the user complete control over the presentation and calculation of the kinetic data. The MPA program requires an AS-CII file containing data blocks of 96 sequential absorbance readings for each time point and the time interval between successive absorbance readings.

Calibration↗

Utilization of MEDFILE--a preprinted medical literature filing system.

To facilitate the creation of a personal medical literature filing system, we developed MEDFILE, a noncomputerized, preprinted medical literature filing system. A graduating medical school class that had access to MEDFILE and a control group of incoming interns were studied to ascertain satisfaction, usage, utility, and implementation of MEDFILE in comparison with traditional literature filing systems. Data were obtained from 52 recent graduates of the site school and 25 graduates of other institutions. MEDFILE users had a significantly higher satisfaction level (7.3 +/- 1.5 vs 4.5 +/- 2.7, p less than .0001, two-tailed t-test), a more extensive filing system (p less than .02, chi square), and greater confidence that their filing system would remain useful during residency (p less than .0001, Fisher's exact test) than new graduates who had created their own filing systems. The data indicate that MEDFILE is an efficient, effective, and inexpensive method of organizing medical reprints. It may be particularly useful for physicians entering primary care disciplines that require information processing over a wide range of clinical topics.

Databases, Bibliographic↗

Software for analysis and manipulation of genetic linkage data.

We present eight computer programs written in the C programming language that are designed to analyze genotypic data and to support existing software used to construct genetic linkage maps. Although each program has a unique purpose, they all share the common goals of affording a greater understanding of genetic linkage data and of automating tasks to make computers more effective tools for map building. The PIC/HET and FAMINFO programs automate calculation of relevant quantities such as heterozygosity, PIC, allele frequencies, and informativeness of markers and pedigrees. PREINPUT simplifies data submissions to the Centre d'Etude du Polymorphisme Humain (CEPH) data base by creating a file with genotype assignments that CEPH's INPUT program would otherwise require to be input manually. INHERIT is a program written specifically for mapping the X chromosome: by assigning a dummy allele to males, in the nonpseudoautosomal region, it eliminates falsely perceived noninheritances in the data set. The remaining four programs complement the previously published genetic linkage mapping software CRI-MAP and LINKAGE. TWOTABLE produces a more readable format for the output of CRI-MAP two-point calculations; UNMERGE is the converse to CRI-MAP's merge option; and GENLINK and LINKGEN automatically convert between the genotypic data file formats required by these packages. All eight applications read input from the same types of data files that are used by CRI-MAP and LINKAGE. Their use has simplified the management of data, has increased knowledge of the content of information in pedigrees, and has reduced the amount of time needed to construct genetic linkage maps of chromosomes.

Alleles↗

A high-capacity LC/MS system for the bioanalysis of samples generated from plate-based metabolic screening.

HPLC/MS is a linear technique characterized by serial injection and analysis of individual samples. Parallel-format high-throughput screens for druglike properties present a significant analytical challenge. Analysis speed and system ruggedness are key requirements for bioanalysis of thousands of samples per day. The tasks involved in LC/MS analysis are readily divided into three areas, sample preparation/liquid handling, LC/MS method building/sample analysis, and data processing. Several automation and multitasking strategies were developed and implemented to minimize plating and liquid handling errors, reduce dead times within the analysis cycle, and allow for comprehensive review of data. Delivering multiple samples to multiple injectors allows the autosampler time to complete its wash cycles and aspirate the next set of samples while the previous set is being analyzed. A dual-column chromatography system provides column cycling and peak stacking and allows rapid throughput using conventional LC equipment. Collecting all data for a compound into a single file greatly reduces the number of data files collected, increases the speed of data collection, allows rugged and complete review of all data, and provides facile data management. The described systems have analyzed over 40 000 samples per month for two years and have the capacity for over 2000 samples per instrument per day.

Automation↗

AutoScan: an automated workstation for rapid determination of mass and tandem mass spectrometry conditions for quantitative bioanalytical mass spectrometry.

An automated flow injection analysis (FIA) mass spectrometry system (AutoScan) was developed to allow rapid unattended determination of optimal conditions during mass (ms) and tandem mass spectrometry (ms/ms) on new chemical entities (NCEs) arranged in 96-well plates. The 96-well plate is placed on the deck of a modified Gilson Multiprobe autosampler for injection into a PE Sciex API 2000 triple quadrupole mass spectrometer. A customized software interface is used to create the necessary scan experiments by associating each 96-well plate of NCEs to be scanned with an index file containing data on the identity of each analyte and its expected molecular weight. Analytes are injected four at a time into a custom injection manifold and conventional mass spectra are acquired in both polarities (+/-) using an alternating positive/negative Q1 scan function. The software determines the optimal polarity and definitive precursor ion for all analytes and uses the results to build the injection sequence for product ion scanning. The samples are automatically re-injected under MS/MS conditions, and product ion scans that loop among different collision energies are collected for each analyte. The resulting data are processed automatically and the optimal MS/MS transitions for each analyte are selected. A color-coded graphical interface facilitates data review. Any unusual ion transitions or transposition errors made during plate preparation are noted and corrected. Complete MS and MS/MS conditions are obtained for 96 compounds in about one hour and the resulting data are available for download as sample control injection sequence files.

Automation↗