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Biomedical subjects

Y Tsong

Publications and source records attributed to Y Tsong.

At least 19 recordsLinked to original sources

Liver enzyme monitoring in patients treated with troglitazone.

CONTEXT: Soon after initial marketing in March 1997, troglitazone, the first thiazolidinedione antidiabetic agent, was found to cause life-threatening acute liver failure. The drug was removed from the market in March 2000. OBJECTIVE: To evaluate the effect of US Food and Drug Administration (FDA) risk management efforts, including repeated labeling changes and "Dear Healthcare Professional" letters, on periodic liver enzyme monitoring of patients taking troglitazone. DESIGN, SETTING, AND PARTICIPANTS: Claims data from a large, multistate managed care organization were used to establish 4 cohorts of patients (N = 7603) with at least 90 days of health plan enrollment before first troglitazone prescription during 4 consecutive periods spanning April 1997 to September 1999 and representing 4 progressively stringent liver monitoring recommendations. MAIN OUTCOME MEASURES: Percentage of eligible troglitazone users in each cohort with baseline, monthly (for up to 6 months of continuous use), and complete (baseline and monthly) enzyme monitoring, based on computerized records of laboratory claims. RESULTS: Baseline testing increased from 15% before any FDA monitoring recommendations (cohort 1) to 44.6% following 4 separate FDA interventions (cohort 4; P<.001). In cohort 4, 33.4% of users had follow-up testing after 1 month of therapy, falling to 13% after 5 months of continuous use. In all cohorts, less than 5% received all recommended liver enzyme tests by the third month of continuous use. CONCLUSIONS: The FDA risk management efforts did not achieve meaningful or sustained improvement in liver enzyme testing. Evaluation of the impact of regulatory actions is needed before such actions can be regarded as effective or sufficient.

Chromans↗

Group sequential test strategies for superiority and non-inferiority hypotheses in active controlled clinical trials.

In a group sequential active controlled clinical trial, the study hypothesis may be a superiority hypothesis that an experimental treatment is more effective than the active control therapy or a non-inferiority hypothesis that the treatment is no worse than the active control within some non-inferiority range. When it is necessary to plan for testing the superiority and the non-inferiority hypotheses, we propose an adaptive group sequential closed test strategy by which the sample size is planned for testing superiority and is to be increased for showing non-inferiority given that it is deemed more plausible than superiority based on the observed sample path during the course of the trial. The proposed adaptive test strategy is valid in terms of having the type I error probability maintained at the targeted alpha level for both superiority and non-inferiority. It has power advantage or sample size saving over the traditional group sequential test designed for testing either superiority only or non-inferiority only.

Controlled Clinical Trials as Topic↗

Assessment of similarity between dissolution profiles.

In vitro dissolution equivalence has been assessed through profile comparison between the test and reference formulations for postapproval changes. Functions of the absolute mean difference and average squared mean differences were two of the often-used criteria to evaluate distance or similarity between general profiles. The two functions and their method of moment estimators are studied in this paper as an application to similarity assessment of two dissolution profile. Due to the complexity of the distributions of these estimators, the confidence intervals obtained from the bootstrap method were used for testing the hypothesis of dissolution similarity. The size and power of two procedures are examined with a simulation study. A numerical example is used to illustrate the application of the procedures.

Algorithms↗

Evaluation of in vitro reporter gene induction assays for use in a rapid prescreen for compound selection to test specificity in the Tg.AC mouse short-term carcinogenicity assay.

Under ICH guidelines, short-term carcinogenicity assays such as the Tg.AC assay are allowed alternatives for one species in the 2-year rodent bioassay. The Tg.AC transgenic mouse, which carries the v-Ha-ras oncogene under control of the zeta-globin promoter, develops skin papillomas in response to dermal application of carcinogens and tumor promoters. The appropriate specificity of the Tg.AC model for testing pharmaceuticals has not been systematically evaluated. The selection of candidate test compounds among noncarcinogenic pharmaceuticals would be aided by a high-throughput in vitro prescreen correlative of activity in the in vivo Tg.AC assay. Here we describe the development of a prescreen based on correct response to 24 compounds tested previously in Tg.AC mice. The in vitro prescreens, chosen to reflect molecular pathways possibly involved in Tg.AC papilloma formation, consisted of a zeta-globin promoter-luciferase construct stably expressed in K562 cells (Zeta-Luc) and three of the stress-response element-chloramphenicol acetyltransferase (CAT) fusion constructs stably expressed in HepG2 cells that are part of the CAT-Tox (L)iver assay. The stress response elements chosen were the c-fos promoter, the gadd153 promoter, and p53 response element repeats. Of the four assays, the gadd153-CAT assay showed the strongest concordance with activity in the Tg.AC assay, correctly classifying 78% of Tg.AC positive and 83% of Tg.AC negative compounds. The correlation was further improved by adding the Zeta-Luc assay as a second-stage screen. These cell-based assays will be used in a novel approach to selecting candidate compounds that challenge the specificity of the Tg.AC assay toward pharmaceuticals.

Animals↗

In vitro dissolution profile comparison--statistics and analysis of the similarity factor, f2.

PURPOSE: To describe the properties of the similarity factor (f2) as a measure for assessing the similarity of two dissolution profiles. Discuss the statistical properties of the estimate based on sample means. METHODS: The f2 metrics and the decision rule is evaluated using examples of dissolution profiles. The confidence interval is calculated using bootstrapping method. The bias of the estimate using sample mean dissolution is evaluated. RESULTS: 1. f2 values were found to be sensitive to number of sample points, after the dissolution plateau has been reached. 2. The statistical evaluation of f2 could be made using 90% confidence interval approach. 3. The statistical distribution of f2 metrics could be simulated using 'Bootstrap' method. A relatively robust distribution could be obtained after more than 500 'Bootstraps'. 4. A statistical 'bias correction' was found to reduce the bias. CONCLUSIONS: The similarity factor f2 is a simple measure for the comparison of two dissolution profiles. But the commonly used similarity factor estimate f2 is a biased and conservative estimate of f2. The bootstrap approach is a useful tool to simulate the confidence interval.

Chemistry, Pharmaceutical↗

In vitro dissolution profile comparison and IVIVR. Carbamazepine case.

Dissolution data for the immediate or modified release drug products are usually collected as percent dissolved at multiple time points. Once an in-vitro/in-vivo relationship is established on a drug product, the dissolution profile becomes meaningful and important. In that context, if a firm desires to modify its formulation on which the in-vitro/in-vivo association has been established, a meaningful insight into the pharmacokinetics may be obtained by comparing the dissolution profiles of the two lots. In this presentation, we demonstrated a model dependent dissolution profile comparison approach using example of carbamazepine tablet dissolution data. Once a mathematical function was selected to describe the dissolution data coming from various standard lots, a similarity region could be constructed using the model parameter variances. To compare the test and reference lot dissolution profiles, a statistical distance was calculated between the mean parameters. A confidence region generated around the normalized mean statistical distance could then be compared with the similarity region to assess the similarity or dissimilarity of the dissolution profiles.

Biological Availability↗

Multiple-time-point dissolution specifications for a sampling acceptance plan.

In dissolution testing, multiple dissolution measurements at specific time points are used to obtain the dissolution characteristics for most extended-release and some immediate-release drug products. This paper presents a general procedure for defining specifications by a multivariate confidence region or by simultaneous confidence limits on the dissolution values of individual time points. The confidence regions and simultaneous confidence limits were estimated using two approaches: the first approach assumed a multivariate normal distribution on the multiple dissolution values and the second approach used the bootstrap resampling method. The multivariate confidence region was constructed using the Hotelling's T2 statistic (equivalently, Mahalanobis distance D2), and the simultaneous confidence limits were based on the Mahalanobis statistic as well as on the Bonterroni adjustment. The Mahalanobis simultaneous confidence limits specification criteria have the overall false out-of-specification rate too low in both parametric and bootstrap approaches.

Chemistry, Pharmaceutical↗

Multipoint dissolution specification and acceptance sampling rule based on profile modeling and principal component analysis.

In dissolution testing, multiple dissolution measurements at specific time points are needed in quality control when the compliance of the product requires controlled dissolution throughout the time course. The dissolution specification based on general multivariate confidence region was proposed by Chen and Tsong (8). This paper presents two alternative procedures when the dissolution profile consists of important measurements at more than 4 time points. In the first procedure, when the dissolution profile can be described by a physical curve through modeling, the dissolution specification is developed based on the confidence region of the parameters of the physical curve. In the second procedure, the principal components (PCS) as the linear combinations of the dissolution measurements are identified and dissolution specification is set based by the confidence intervals of the values of principal components. In both approaches the specification can be set at lower dimensions than the general multivariate confidence region approach. A single-stage acceptance rule can be used in both approaches by first projecting the dissolution values of each tablet in the new testing batch onto the determined parameters axes (through modeling in modeling approach and through projection on the selected PCS in principal component approach). Then check if the projections of the new tablet fall within the specifications. Finally, count the number of tablets that fall outside the specification limits and reject the batch if the proportion of out-of-specification tablet is high and accept the lot for release if the proportion is low.

Chemical Phenomena↗

In-vitro dissolution profile comparison: statistics and analysis, model dependent approach.

PURPOSE: To develop and propose a "model dependent' approach for the in-vitro dissolution profiles comparison. METHODS: Diltiazem hydrochloride tablet dissolution profiles were compared using a statistical approach based on a mathematical model. A similarity region (SR) was defined based on the intra- and inter-lot parameter variances of the final production size standard lots. Statistical distances between the test and reference lot parameter means were computed and normalized. A 90% confidence region (CR) was developed around the statistical distance. The confidence region was compared with the similarity region to assess the similarity or dis-similarity of the test and reference (REF) lot dissolution profiles. Two test lots, one with a "minor' modification (mm) the other with a "major' modification (MM), were evaluated. RESULTS: "Weibull' was selected as the "model' function. A comparison of the confidence regions around the statistical distance of "mm-REF' and "MM-REF' with the similarity region, suggested that the dissolution profiles of the "minor' modification lot were similar and that of "major' modification lot were dis-similar to the reference lot. CONCLUSIONS: A "model dependent' approach was shown to be useful for the inter-lot in-vitro dissolution profiles comparison.

Cardiovascular Agents↗

Comparing reporting rates of adverse events between drugs with adjustment for year of marketing and secular trends in total reporting.

The Food and Drug Administration has collected spontaneous reports on adverse events (AE) from manufacturers and individuals. These data provide useful information on the safety of marketed drugs. Due to many unique characteristics of this reporting system, the information is difficult to evaluate. Incidence rates for specific adverse events and drug combinations cannot be estimated. However, reporting rates (number of reports per market share) based on prescriptions can be computed. These reporting rates provide signals of serious adverse experience that may deserve attention. When the ratio of reporting rates is used for the comparison of two drugs of the same drug class, adjustments are needed for the marketing year and secular trends of all-drug-all-AE reporting. The Mantel-Haenszel procedure is used to combine the multiyear data into one summary statistic. Application of this analysis is illustrated on reports of upper gastrointestinal bleeding, perforation, and ulcer associated with nonsteroidal anti-inflammatory drugs, as given in Rossi et al. (12).

Adverse Drug Reaction Reporting Systems↗

Estimation of the shelf-life of drugs with mixed effects models.

This paper proposes a normal mixed effects model for stability analysis. An EM algorithm is developed to compute the maximum likelihood estimates of regression coefficients of the fixed effects and random effects, and variance components. The likelihood ratio test is used for the preliminary testing of batch-to-batch variation. An example from a marketing stability study is given to illustrate the proposed procedure.

Algorithms↗

Dissolution test acceptance sampling plans.

The U.S. Pharmacopeia (USP) general monograph provides a standard for dissolution compliance with the requirements as stated in the individual USP monograph for a tablet or capsule dosage form. The acceptance rules recommended by USP have important roles in the quality control process. The USP rules and their modifications are often used as an industrial lot release sampling plan, where a lot is accepted when the tablets or capsules sampled are accepted as proof of compliance with the requirement. In this paper, the operating characteristics of the USP acceptance rules are reviewed and compared to a selected modification. The operating characteristics curves show that the USP acceptance rules are sensitive to the true mean dissolution and do not reject a lot or batch that has a large percentage of tablets that dissolve with less than the dissolution specification.

Capsules↗

False alarm rates of statistical methods used in determining increased frequency of reports on adverse drug reaction.

Several statistical methods have been proposed or used in the determination of an increase in frequency of reports of adverse drug reactions. Some of the methods are based on large sample approximation or equal sample sizes assumption. The actual type I error may differ significantly from the predetermined nominal level of 5% when the methods are applied to rare adverse events. Simulated false alarm rates of the methods were compared under the assumption of 10 or less expected reports in the reference period.

Drug-Related Side Effects and Adverse Reactions↗

Mortality resulting from blood dyscrasias in the United States, 1984.

Blood dyscrasias are rare but serious diseases. We used national death certificate data for the year 1984 to estimate the number and rate of deaths caused by four blood dyscrasias. These diseases contributed to 4,490 deaths, corresponding to a mortality rate of 18.9 per million United States population. Aplastic anemia was the most frequent cause of death, followed by thrombocytopenia, agranulocytosis, and hemolytic anemia. Mortality rates varied by age, with a small peak in young children, lower rates for ages five through 34 years, and exponentially increasing rates beyond 35 years of age. Although drug relatedness could not be reliably ascertained from our data, other surveys have estimated that approximately 30% of fatal blood dyscrasias are caused by therapeutic drugs. Assuming that 30% drug attribution also applies to the U.S. population as a whole, approximately 1,350 blood dyscrasia deaths in the U.S. in 1984 may have been caused by drugs.

Adolescent↗

Competing risk analysis of life table data: application to lifetime risk computation.

In this pedagogic note we propose to assess the safety of treatment in a clinical trial, or the effect of risk exposure in a chronic animal study, in terms of two lifetime risks. These risks are computable from life table type data and take into account the effects of competing risks. We first describe their computational procedures in detail to demonstrate the need for their implementation in a computer program. We then illustrate their practical application through use of the data obtained from an actual clinical study.

Health Status Indicators↗

Scaling of response scale adverbs among black-American adults.

Although some attention has been given to the scale characteristics of modifying adverbs in Likert scales, the existing work has been concerned primarily with majority group members. Toward the goal of identifying valid labels for use on Likert scales with black-American respondents, 105 black-American adults scaled each of 27 adverbs (e.g., very, most) on four different adjectives (e.g., important). Four criteria for a set of ideal adverbs were identified for univalent scales. No set of four adverbs, however, met the criteria. Differences in the mean ratings of eight of the adverbs were found by sex group and across the four adjectives modified. The adverbs were not scored at the extremes of the continuum, despite our asking the respondents to rate the adverbs used to define the end points of the continuum. High variances were found across all adverbs. Further research must address the respondents' perceptual frame in the use of such scales.

Adult↗

Beta-endorphin levels in the human menstrual cycle.

To examine the fluctuation in plasma beta-Endorphin (beta-EP) concentration throughout the menstrual cycle, 8 healthy females with normal cycles were studied. After an overnight fast, the subject's blood samples were drawn between 8 and 10 a.m. They gave blood at 2 or 4 day intervals through three menstrual cycles. Using the LH surge as day 0, the mean beta-EP concentrations were higher on days -10, -9, -8 (6.5 +/- 2.6, 6.9 +/- 3.8 and 6.7 +/- 2.7 pmol/l, follicular phase), on days -1, 0, +1 (9.2 +/- 3.3, 9.1 +/- 5.2 and 8.8 +/- 3.3 pmol/l, periovulatory phase), and on days +9 and +12 (8.6 +/- 2.5 and 8.8 +/- 3.8 pmol/l, luteal phase). Most beta-EP levels were low during menstruation. The rise and fall in beta-EP and its relation to temporal LH and FSH secretion are discussed. The findings show that three beta-EP rises take place during the menstrual cycle and that beta-EP may be involved in the regulation of ovulation.

Adult↗

Role of interferon in leukocyte histamine release caused by common respiratory viruses.

Asthmatic attacks are often precipitated by viral respiratory infections. The mechanism of virus-induced asthma is still unclear. Interferon could be an important mediator in virus-induced hypersensitivity reactions, because interferon is induced by some respiratory viruses, and it can enhance IgE-mediated histamine release in vitro. We studied the effect of common respiratory viruses, including both interferon inducers and non-interferon inducers, on IgE-mediated leukocyte histamine release. Leukocytes from healthy, nonallergic donors were exposed to different strains of respiratory viruses, and basophils were challenged with antibody to IgE to release histamine. We found that the viruses are capable of enhancing IgE-mediated histamine release in the presence or absence of interferon. Our results suggest that although interferon may play a role in virus-induced hypersensivity reactions, other mechanisms probably also play a significant role.

Basophils↗