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[Intraoperative complications in extracapsular extraction with a posterior-chamber lens implant. Medical record data].

This scientific work includes the retrospective study of the intra-operatory complications in 150 cases of cataract operated eyes, using extracapsular implant of artificial crystalline in the posterior chamber; the study is based on the operatory data file, filled in by the surgeon immediately after the operation. The data file we are submitting to your attention can be registered on a floppy disk; it includes the most important data concerning the patient, the type of the cataract, the operatory techniques, the incidents that might occur and the most appropriate method to solve them. The registration on file of the operatory data has proven its efficiency while grouping, inventorying and processing data, but also while determining the conclusions of the prophylactic measures. The rupture of the anterior capsula till the zonular zone occurred in 0.66% of the cases; capsular rests--2%; sphincter lesions--1.33%; iris lesions--0.66%, endothelium lesions--1.33%; posterior capsula rupture--2.66%, followed by anterior vitrectomy and implant of an artificial crystalline in the anterior chamber.

Cataract Extraction↗

A suitable method for identifying cell aggregates in laser scanning cytometry listmode data for analyzing disaggregated cell suspensions obtained from human cancers.

BACKGROUND: The presence of cell aggregates in cell suspensions obtained from human solid tumors can interfere with the measurement of cell DNA content of cell singlets, and can confound multiparameter analysis of other measurements on the same cells. Flow cytometric corrections for cell aggregates based on signal pulse shape have not proven to be reliable. Mathematical models have been developed to correct for cell aggregates in binned DNA histogram data, but they are not suitable for the correction of correlated non-DNA measurements obtained on the same cells. METHODS: A total of 21 samples representing a variety of normal and malignant human cell types, including normal lymphocytes, normal sputum, human breast cancer cell lines, and mechanically disaggregated cell suspensions from primary breast cancers and nonsmall cell lung cancers, were studied by laser scanning cytometry (LSC) using the CompuCyte laser scanning cytometer (Cambridge, MA). Nuclear area, nuclear perimeter, and an LSC-based cell texture parameter were measured on approximately 400 cells in each sample, using an air-cooled, violet laser emitting at a wavelength of 405 nm for DAPI excitation, and each cell was classified as a singlet or aggregate by its appearance under direct observation. A "saddle function" provided by CompuCyte was used, together with an algorithm based on the measurements of nuclear area, perimeter, and cell texture (the APT algorithm), to identify cell aggregates and exclude them from the listmode data file. RESULTS: Proportions of cell aggregates in the uncorrected samples ranging from 6 to 56% (mean, 20%) were reduced to proportions ranging from 0 to 7% (mean, 2.4%) after correction. The discriminant function was "tuned" to maintain both average cell singlet purity and average cell singlet yield at >70% over a broad range of cell DNA contents. CONCLUSIONS: A combined approach to cell aggregate detection, which utilizes both the saddle function and the APT algorithm, produces list mode data files that exclude >80% of cell aggregates from samples of disaggregated cell suspensions of human tumors and other sources of clinical material. Such data files are suitable for multiparameter analysis.

Algorithms↗

Preparing for health care reform and an LCME site visit: addressing the generalist-non-generalist imbalance.

PURPOSE: The purpose of the present study was to evaluate primary care outcomes for the Loma Linda University School of Medicine (LLUSM), using Association of American Medical Colleges (AAMC) data files. The two principal objectives were to estimate the percentages of LLUSM graduates who are practicing or will practice primary care medicine and to determine what information available on application to LLUSM is useful in predicting graduates' specialty choices (i.e., primary versus non-primary care). METHOD: In 1993-94 data were taken from several AAMC data files (available to all medical schools), including the Graduate Medical Education (GME) Tracking Census and the American Medical College Application Service (AMCAS) Applicant Master File. The second and fourth years after graduation were used as points of evaluation. Primary care (generalist) was defined as taking or having completed a residency in family practice, internal medicine, or pediatrics, and not having taken any fellowship training. RESULTS: Fourth year after graduation: 42.4% of the 1,064 LLUSM graduates (1983 to 1990) were training in or had completed residencies in family practice (19.8%), internal medicine (16.2%), or pediatrics (6.4%). Second year of GME: of the 1,365 LLUSM graduates (1983 to 1992), 49.3% were in the primary care pipeline (19.8% in family practice, 21.9% in internal medicine, and 7.6% in pediatrics). Two variables available on admission to medical school were associated with being in the primary care pipeline (second-year GME generalist): being a woman and being a member of a non-underrepresented minority. One variable was associated with being in the non-primary care pipeline: having a rural county code. Undergraduate grades and Medical College Admission Test scores were not good predictors. CONCLUSION: The AAMC data files, available to all medical schools, are useful for estimating and evaluating primary care outcomes.

Career Choice↗

A simple automated procedure for the detection and identification of peaks in gas chromatography--continuous scan mass spectrometry. Application to systematic toxicological analysis of drugs in whole human blood.

Gas chromatography-mass spectrometry (GC-MS), which combines the separation power of GC with the power of MS for the identification of unknown compounds, possesses high potential in systematic toxicological analysis (STA). Different factors, however, do not allow this potential to be fully exploited. Between them, the low selectivity of the mass spectrometer operating in continuous scan plays a critical role, in many cases precluding the possibility of selecting mass spectra in the total ion chromatogram (TIC) sufficiently clean for a positive identification by library search, even when using reverse search algorithms. Moreover, the large amount of information contained in GC-MS data file that results from the analysis of a biological extract makes the efforts of manual search almost useless and requires the availability of reliable methods for the automated detection and identification of peaks in a TIC. In this paper, a simple procedure that improves the performance of a bench-top GC-MS system in the purification of mass spectra of coeluting compounds and that can be easily combined with the automated processing of a GC-MS data file is described. It is based on the subtraction of the intensities of successive pairs of scans in the TIC, on the detection of positive and negative peaks in the transformed chromatograms, and on the search of the corresponding background-subtracted electron ionization mass spectra against reference libraries. In order to evaluate the proposed procedure, GC-MS data files obtained for the analysis of extracts of blank whole blood spiked with more than 100 drugs, poisons, and their metabolites at a concentration of 0.5 mg/L were used. Compared with the search of the raw TICs, the proposed procedure increased the number of identified substances and, in many cases, obtained higher match quality values for identification.

Amitriptyline↗

["MEDDOS", a computer program for constructing treatment plans in pediatric intensive care units].

We attempted to facilitate the establishment of treatment regimens in paediatric intensive care units by means of a computer programme and to increase drug safety by standardization of dosage and avoidance of calculation errors. The programme has the following features: the user can enter drugs, oral nutrition and i.v. solutions into data files. Drugs and solutions can be chosen from these data files for the individual patient. Drug dosage is calculated from preselected dosages and the patient's data for individual dosage regimens. The desired intake of fluid volume and glucose can be chosen. Due to this preselection the quantity and concentration of the glucose solution is calculated. The total daily intake of electrolytes, calories, carbohydrates, protein and fat is shown on a balance sheet. Complete schedules can be saved and, if needed, restored for other patients.

Child↗

Interobserver variability in the classification of neonatal seizures based on medical record data.

This population-based, retrospective cohort study of neonatal seizures included all 16,428 neonates born to residents of Fayette County, Kentucky, from 1985 to 1989. Eighty potential cases were ascertained by computer search of hospital-based medical record systems, birth certificate data files, and multiple-cause-of-death mortality data files. Medical records for potential cases were abstracted, and relevant portions were reviewed independently by three neurologists using prospectively determined criteria. Both unweighted and weighted kappa statistics were used to measure agreement between each pair of observers in the classification of potential cases as seizures, possible seizures, or not seizures, adjusting for the proportion of agreement expected by chance. Agreement in the classification of potential cases was excellent (kappa = 0.72-0.79, average = 0.76; weighted kappa = 0.85-0.88, average = 0.87). The kappa extension statistic of Kraemer was used to assess agreement in the classification of seizure types by a simplification of the classification scheme of Volpe. This documented excellent agreement between raters in the classification of seizure types (kappa e = 0.72). Experienced raters can reliably classify potential cases of neonatal seizures using seizure descriptions transcribed from medical records.

Cohort Studies↗

MLTIDOSE: a multiple-dose simulation program for linear systems characterized by exponential functions.

MLTIDOSE is a multiple-dose simulation program for use on IBM PC (and compatible) computers. It assumes dose-independent disposition and absorption (i.e., a linear system) and simulates blood concentration-time profiles (over a range of times or at specific times) upon administration of any combination of intravascular (i.v.) (bolus and/or intermittent constant rate infusions) and extravascular (e.v.) doses of fixed or variable size, administered at fixed or variable intervals. Input requirements include pharmacokinetic parameters obtained following single-dose administration (entered from the keyboard or from a data file). Options for printing data to files (e.g., ASCII and DIF) for further use are also provided.

Computer Simulation↗

Managing research data with self-documenting files.

Processing biomedical research data is frequently complex due to the evolutionary nature of experiments and the requisite modification of analysis software. For the past several years we have been evolving a set of software tools designed to improve our ability to respond to evolving experimental designs. These tools allow the investigator to easily manipulate the research data and specify desired data transformations at run time. Coupling of analysis software to research data files is dependent on data files that are commented in a manner similar to that used in programming languages. The resulting annotated data files are self-documenting, and their use facilitates visual interpretation of displayed data as well as automatic processing of subsets of data. Here we present a formal description of a self-documenting file and describe several software tools that facilitate processing of biomedical research data.

Electronic Data Processing↗

[Application of Arai's experimental spectral distribution data].

A new spectral distribution data file is set up by handling Arai's experimental data of spectral distribution, through the procession of interpolation and fitting. The distance of wavelength is 0.002 nm. The data file is applied to our FPM program and then to the analysis of refractory steels GH131. Correlation between theoretical and measured intensities is good. Results of theoretical influence coefficient method and fundamental parameter method are consistent with certified values; the relative error is smaller than 1% to Cr and Ni. The results show the accuracy is improved and the application range of FP and SFP is enlarged.

English Abstract↗

A strategic planning model for multihospital systems.

Strategic planning and marketing for regional multihospital systems requires aids far greater in scope than those needed by single institutions. In the first place, planners for a regional system must be able to determine effects of its actions throughout the region, taking into account competitive interactions among a large number of institutions. This requires a much greater degree of sophistication than is usually found at the level of the single institution. Moreover, this greater sophistication cannot be bought at the expense of speed or demands on the time of the decisionmakers, nor can it be achieved through more sophisticated managerial skills. The aids must also be able to handle expeditiously a far larger volume of inquiry. Those two considerations shaped the design of the Multihospital Strategic Planning Model. Because of its comprehensiveness, the ease with which management can use it, and the speed with which it can answer a large volume of questions, it has become a permanent part of the ongoing corporate-level planning and marketing activities of the Maryland Health Care System in Baltimore. The planning staff can quickly analyze a wide variety of "What if?" questions by making selected changes--on an objective or a subjective basis--in the data files that represent the input variables of the system. By storing such changes in new data files, the staff can piggyback future "What if?" questions onto those asked in the past. The system includes on-line software to change data and create new files. Designed in an interactive mode, the system may be used by the planning staff, in the planning office, at any time.

Adolescent↗

Increased throughput in quantitative bioanalysis using parallel-column liquid chromatography with mass spectrometric detection.

The feasibility of quantitative bioanalysis by parallel-column liquid chromatography in conjunction with a conventional single-source electrospray mass spectrometer has been investigated using plasma samples containing a drug and its three metabolites. Within a single chromatographic run time, sample injections were made alternately onto each of two analytical columns in parallel at specified intervals, with a mass spectrometer data file opened at every injection. Thus, the mass spectrometer collected data from two sample injections into separate data files within a single chromatographic run time. Therefore, without sacrificing the chromatographic separation or the selected reaction monitoring (SRM) dwell time, the sample throughput was increased by a factor of two. Comparing the method validation results obtained using the two-column system with those obtained using the corresponding conventional single-column approach, the methods on the two systems were found to be equivalent in terms of accuracy and precision. The parallel-column system is simple and can be implemented using existing laboratory equipment with no additional capital outlays. A parallel-column system configured in this manner can be used not only for the within-a-run analysis of two samples containing two different sets of chemical entities, but also for the within-a-run analysis of two samples containing the same set of chemical entities.

Chromatography, Liquid↗

Community environment and women's health outcomes: contextual data.

OBJECTIVES: This report presents some illustrative data and analyses from the Contextual Data File for the 1995 National Survey of Family Growth (NSFG). Data are shown by the woman's race and Hispanic origin, and selected characteristics of the community in which she lived. METHODS: Cycle 5 of the NSFG was based on in-person interviews with a national sample of 10,847 women 15-44 years of age in the United States in 1995. The interview included questions on the woman's births, marriages, contraceptive use, and characteristics such as her race and education. Measures of the characteristics of the woman's neighborhood were added to the interview data. RESULTS: This report shows that several simple measures of the social and economic status (SES) and resources of the woman's community of residence are closely associated with outcomes such as delayed childbearing, unwanted births, current marital status, the use of male or female contraceptive sterilization, breast-feeding, vaginal douching, and cigarette smoking. CONCLUSIONS: It is well-documented that the outcomes studied in this report are closely associated with individual characteristics such as age, race, education, and household income. But this report shows that these outcomes are also related to characteristics of the communities in which the individuals live. Researchers are encouraged to use the NSFG Contextual Data File to study these relationships further.

Adolescent↗

RADARS, a bioinformatics solution that automates proteome mass spectral analysis, optimises protein identification, and archives data in a relational database.

RADARS, a rapid, automated, data archiving and retrieval software system for high-throughput proteomic mass spectral data processing and storage, is described. The majority of mass spectrometer data files are compatible with RADARS, for consistent processing. The system automatically takes unprocessed data files, identifies proteins via in silico database searching, then stores the processed data and search results in a relational database suitable for customized reporting. The system is robust, used in 24/7 operation, accessible to multiple users of an intranet through a web browser, may be monitored by Virtual Private Network, and is secure. RADARS is scalable for use on one or many computers, and is suited to multiple processor systems. It can incorporate any local database in FASTA format, and can search protein and DNA databases online. A key feature is a suite of visualisation tools (many available gratis), allowing facile manipulation of spectra, by hand annotation, reanalysis, and access to all procedures. We also described the use of Sonar MS/MS, a novel, rapid search engine requiring 40 MB RAM per process for searches against a genomic or EST database translated in all six reading frames. RADARS reduces the cost of analysis by its efficient algorithms: Sonar MS/MS can identifiy proteins without accurate knowledge of the parent ion mass and without protein tags. Statistical scoring methods provide close-to-expert accuracy and brings robust data analysis to the non-expert user.

Amino Acid Sequence↗

Eligibility for the Medicare buy-in programs, based on a survey of income and program participation simulation.

Medicare buy-in programs are designed to reduce out-of-pocket expenses of beneficiaries with modest income and assets. This article provides estimates of the size of the Medicare beneficiary population eligible for the Qualified Medicare Beneficiary (QMB) program, the Specified Low-Income Medicare Beneficiary (SLMB) program, and the Qualified Individual-1 (QI-1) program. The buy-in programs use the same resource limits (twice those used in the Supplemental Security Income (SSI) program) but different thresholds for determining income eligibility. The QMB program uses 100 percent of the poverty line as the cutoff, QI-1 covers persons above 120 percent but at or below 135 percent of the poverty line, and the SLMB program is in between. Making informed judgments about the rate of participation in the buy-in programs and the need for outreach requires an accurate estimate of the size of the eligible population. If that population is underestimated, policymakers might come to unduly optimistic conclusions about current buy-in participation. In contrast, an overestimate may make current participation seem too low. If policymakers react to an upwardly biased estimate of the eligible population by increasing outreach, they are bound to be disappointed by the results of that effort. Estimates of the eligible population from past studies of the QMB and SLMB programs range from 5.1 million to 9.1 million. In the absence of new information, it is difficult to judge the accuracy of those estimates because the methodologies had substantial shortcomings that might bias the results. The most common shortcomings include the lack of high-quality, monthly income data and the lack of information on assets from the same data file that was used to estimate participation and income eligibility for Medicare. The current study uses the most recently available (as of August 2000) Survey of Income and Program Participation (SIPP) file that is matched to the Social Security Administration's (SSA's) administrative records. The data file covers 1995 information. Estimates were also obtained using 1991 data to assess the sensitivity of eligibility estimates to the year chosen. The SIPP has several major advantages over other data sources because it contains relevant, high-quality information on both income and assets for establishing financial eligibility for the buy-in programs. First, the SIPP collects detailed and conceptually appropriate information on monthly, rather than annual, income and therefore has more complete information about income than do other surveys. As a result, SIPP-based estimates of poverty are substantially lower than estimates based on the Current Population Survey. Second, the SIPP also collects information on assets at the individual level. Thus, the survey provides enough detail to measure the major income and asset exclusions directly. Finally, the SIPP data are matched to SSA administrative records: Medicare eligibility can therefore be accurately measured, and self-reported data on Social Security and SSI benefits can be replaced with more accurate monthly information. Our 1995 simulation estimates that approximately 4.8 million persons in the U.S. noninstitutionalized population were eligible for the QMB program and an additional 1.6 million for the SLMB program. The total--roughly 6.5 million--is within the range of estimates from past studies but is closer to the lower end, suggesting that the eligible population is smaller than was previously believed. When the estimated QI-1 eligible population of 0.9 million is added, the total for the three buy-in programs is 7.4 million. Because the QI-1 program did not exist in 1995, only the estimated 6.5 million QMBs and SLMBs would actually have been eligible to receive benefits. The 7.4 million figure represents the 1995 Medicare beneficiaries who would be eligible for buy-in under program rules for 2000. Adjusting that number to account for increases in the Medicare population between 1995 and 1999 yields an estimated eligible population of 7.8 million in 1999. Compared with other elderly Medicare recipients, eligible elderly QMBs and SLMBs have poorer health, more functional limitations, and higher rates of health care use. Thus, not only are their income resources relatively limited, but their need for potentially expensive medical care is also greater. Similar differences were not found in health, functional limitations, and health care use among disabled participants in the QMB and SLMB programs. Our estimates imply that about 2.5 million noninstitutionalized individuals were eligible for but not enrolled in the QMB and SLMB programs in 1999. That finding suggests that fewer eligibles may be available for targeting by outreach efforts than was previously believed. Outreach may be more difficult than it would be with a larger eligible population. (ABSTRACT TRUNCATED)

Adolescent↗

Qmd-plot: a graphical utility for rapid preliminary analysis of time series of fluctuating data, developed in the context of molecular dynamics simulations.

Qmd-plot is a utility to obtain rapid information about past or on-going simulations, or real-time data collections, in the form of graphs of recorded variables (x, y, ...), as x-y plots or as a function of simulated or real time. Time series records in the data file must be named. Variable names and their locations in the data file are initially unknown to the program, but are identified in a first scan, in which header records are located on the basis of a predefined key (that can be changed interactively). The names of the time series are then presented in an interactive menu, from which the user can repeatedly specify a graph to be viewed. Qmd-plot has been developed in the context of molecular dynamics simulations. We give examples of time series and x-y plots made from output of the sigma program. Qmd-plot code is a Java application; source and class files can be obtained free from the authors.

Journal Article↗

Computer programs to facilitate the estimation of time-dependent drug effects on ion channels.

The programs I-VOC and I-ROC have been designed to facilitate the analysis of drug effects on currents through ion channels in the cell membrane, measured by means of voltage-clamp. They are written in Igor Pro (WaveMetrics) and read exported files or raw data files generated by the Pulse (HEKA Electronic) or pClamp (Axon Instruments) programs. With I-VOC, the sweeps of current through voltage-operated ion channels can be quantified within six time ranges, and current run-down can be corrected for after the currents are fitted during the control period. Linear leak current can be subtracted even when the P/n method is not used. The results are plotted and tabulated. With I-ROC, an analogous program, receptor-operated currents can be quantified, the peak current or rate of desensitization can be fitted and run-down corrected for. Chart-like data can be converted to a sweep-like format. Several procedures are incorporated for rapid graphical data presentation. These programs accelerate and improve the estimation of drug effects on ion channels.

Animals↗

A microcomputer-based system for processing 31-phosphorus nuclear magnetic resonance spectra from studies of cardiac metabolism in immature hearts.

We designed an interactive microcomputer-based digital data processing system for analysis of 31-phosphorus nuclear magnetic resonance (31P-NMR) spectra from studies of cardiac metabolism in immature and neonatal hearts. This system included a digitizing tablet (Kurta Series Two), a microcomputer (IBM PC XT) and a graphics plotter (Hewlett-Packard 7470A) used in conjunction with a Nicolet 1280 NMR signal processing computer. We obtained 31P spectra from isolated perfused rabbit hearts with a Nicolet NT-200 4.7 Tesla superconducting NMR spectrometer operated in the pulsed Fourier transform mode. The small size of the hearts resulted in increased noise in spectra and demanded comparison of methods used to quantitate changes in inorganic phosphorus, phosphocreatine and ATP during ischemic stress. We performed microcomputer operations and interfacing functions with a software package written in BASIC. This system simplified documentation, data filing and statistical data processing. Our microcomputer system displayed and made hard copies of digitized spectra and results of analyses. Errors in data entry were rectified directly with this program. Consistent data reduction improved the precision of the physiological results and reduced the influence of noise on 31P spectra from neonatal hearts weighing about 0.5 g. The system flexibility extends its application to NMR spectra analysis for other in vivo organ systems, and signal processing in other biological research.

Animals↗