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Biomedical subjects

E M Laska

Publications and source records attributed to E M Laska.

At least 19 recordsLinked to original sources

Classification of the effectiveness of combination treatments.

According to FDA regulations, a combination drug is not efficacious unless each component contributes to the claimed effects. For a univariate endpoint, this implies that the combination at specific doses must be superior to each of its components at the same doses. More demanding is the property of synergy, in which the effect of the combination must be superior to the effect expected based on those of its components. If it is equal to those effects, it is additive, and if it is inferior, it is antagonistic. We give regions in the combination dose plane where these concepts are well defined. If the effect of the combination is greater than the greatest effect achievable by any of its components it is therapeutically synergistic. A combination can be antagonistic, yet its components can still contribute to the claimed effects. If it is additive, synergistic or therapeutically synergistic, its components must contribute to the claimed effects. We relate these concepts and provide designs and sequential procedures for determining whether a combination is therapeutically synergistic, synergistic, additive, antagonistic and contributing or antagonistic and non-contributing.

Animals

Estimating population size when duplicates are present.

Each of K mental health programmes reports the number of patients served in a year. The sum of these numbers, y, is an overcount because some patients are seen in more than one programme. Health care planners need to know the unduplicated number served by the mental health system. Thus, there is an unknown number, M, of distinct individuals who appear on one or more of K lists; some appear on multiple lists and the duplicates are not readily identifiable. Let X be the number of lists on which a randomly selected individual appears. When E(X) is known, y/E(X) is the natural estimator of M. We assume that we know the number of programmes, Xi, used by the ith individual in a random sample of recipients of service. Here, the intuitive estimator, Y/X has desirable statistical properties. We give confidence interval estimators for M. We apply the method to estimate the number of individuals served in 1991 by the mental health programmes in New York State.

Confidence Intervals

Placebo washout in trials of antipsychotic drugs.

For antipsychotic phase 3 clinical trials, we compare the relative merits of a placebo washout period with an alternate design strategy using a low-dose antipsychotic treatment. Evaluations are made with respect to the achievement of specific clinical trial design goals including the effect on power for detecting between-treatment and within-treatment pre-post differences. The relative merits of these two designs are discussed separately for those patients who enter the initial leadin period after withdrawal from previous antipsychotic medication and for those not on medication immediately before that period.

Antipsychotic Agents

Characterizing onset in psychopharmacological clinical trials.

In addition to describing treatment efficacy in terms of changes in rating scale scores, the distributions of time to occurrence of major clinical events such as onset and response are clinically important information. Issues in the design, conduct and analysis of clinical trials in which the time to onset of effect or time to response is to be characterized are discussed. A criterion must be defined to signal that the clinical event has occurred. Onset properties are given in terms of (1) the probability of obtaining onset and (2) for patients who obtain onset, the distribution of time to onset. A statistical model and methods to estimate parameters and compare onset times of treatments are described. A simple formula that can be used to aid in clinical decision making as to when to alter treatment if onset has not yet occurred is presented.

Clinical Trials as Topic

Simple designs and model-free tests for synergy.

Current statistical designs for studying whether two or more agents in combination act synergistically nearly always require the study of several doses of many dose ratios. The analysis is usually based on an assumed parametric model of the dose-response surface. In this paper, for both quantal and quantitative response variables, sufficient conditions are given for establishing synergy at a dose of the combination without the need to specify the model. This enables the use of simple designs with few doses even when there is sparse knowledge of the dose-response curves of the individual agents. The Min test, used for testing whether an identified treatment is best, may be used for testing synergy. Power issues are discussed.

Animals

A plant-capture method for estimating the size of a population from a single sample.

To estimate the size of a population a plant-capture method, an alternative to the classic capture-mark-recapture model, is presented. Known or marked individuals otherwise indistinguishable from the remainder of the population are planted followed by an effort to capture members from the augmented population. Maximum likelihood estimators and a confidence region together with the expected length of the confidence interval for the size of the population as a function of the number of plants are given. A methodology for comparing the cost efficiency of plant-capture to capture-recapture is developed. An application to counting the homeless is given.

Bias

Nonparametric estimation and testing in a cure model.

Nonparametric generalized maximum likelihood product limit point estimators and confidence intervals are given for a cure model with random censorship. One-, two-, and K-sample likelihood ratio tests for inference on the cure rates are developed. In the two-sample case its power is compared to the power of several alternatives, including the log-rank and Gray and Tsiatis (1989, Biometrics 45, 899-904) tests. Implications for the use of the likelihood ratio test in a clinical trial designed to compare cure rates are discussed.

Biometry

Importance of pharmacologic control in PET studies: effects of thiothixene and haloperidol on cerebral glucose utilization in chronic schizophrenia.

This study compares the effects of two neuroleptic drugs with different pharmacologic characteristics (thiothixene and haloperidol) on cerebral glucose utilization in chronic schizophrenic inpatients. Positron emission tomographic (PET) scans were obtained from all subjects in a neuroleptic-free condition and again after 4-6 weeks of neuroleptic treatment. Eight subjects were treated with thiothixene and 12 with haloperidol. Thiothixene and haloperidol had different metabolic effects. For example, all thiothixene-treated subjects showed increased whole brain glucose utilization; all but one haloperidol-treated subject showed decreased utilization. Different patterns of relative prefrontal and striatal metabolism were also observed. These results highlight the importance of controlling for the effects of neuroleptic treatment and indicate the difficulty of interpreting data from studies with complex or poorly defined drug regimens.

Adult

Testing whether an identified treatment is best.

We consider the problem of testing whether an identified treatment is better than each of K treatments. Suppose there are univariate test statistics Si that contrast the identified treatment with treatment i for i = 1, 2,...., K. The min test is defined to be the alpha-level procedure that rejects the null hypothesis that the identified treatment is not best when, for all i, Si rejects the one-sided hypothesis, at the alpha-level, that the identified treatment is not better than the ith treatment. In the normal case where Si are t statistics the min test is the likelihood ratio test. For distributions satisfying mild regularity conditions, if attention is restricted to test statistics that are monotone nondecreasing functions of Si, then regardless of their covariance structure the min test is an optimal alpha-level test. Tables of the sample size needed to achieve power .5, .8, .90, and .95 are given for the min test when the Si are Student's t and Wilcoxon.

Biometry

Analgesic efficacy of two ibuprofen-codeine combinations for the treatment of postepisiotomy and postoperative pain.

Our purpose was to compare the analgesic efficacy and safety of single oral doses of the combination of ibuprofen 400 mg plus codeine 60 mg and the combination of ibuprofen 200 mg plus codeine 30 mg with ibuprofen 400 mg alone, codeine sulfate 60 mg alone, and placebo. One hundred ninety-five patients with severe pain resulting from episiotomy, cesarean section, or gynecologic surgery completed a randomized, double-blind, stratified, parallel-group study. Patients were observed during a 4-hour period after medication. Based on the sum of the pain intensity differences (SPID), total pain relief (TOTPAR), and most of the hourly direct measures of pain and relief, both doses of the combination and ibuprofen 400 mg alone were statistically superior to placebo. Codeine 60 mg was statistically superior to placebo based on TOTPAR, the global ratings, and a few hourly measures. The mean effect of the combination of ibuprofen 400 mg plus codeine 60 mg was significantly superior to the mean effect of ibuprofen 400 mg alone 1/2, 1, and 2 hours after medication and to the mean effect of ibuprofen 400 mg alone and codeine 60 mg alone for SPID, TOTPAR, and other measures as well. The low-dose combination was significantly more effective than codeine 60 mg for a few hourly measures but was not significantly superior to ibuprofen 400 mg. Based on these findings it appears that the combination of ibuprofen 400 mg plus codeine 60 mg, particularly in the first few hours after medication, is more efficacious than its constituents.

Adult

Comparative study of flurbiprofen, zomepirac sodium, acetaminophen plus codeine, and acetaminophen for the relief of postsurgical dental pain.

The relative analgesic efficacy and safety of single oral doses of 50 and 100 mg of flurbiprofen (Ansaid, Upjohn) were compared with 100 mg of zomepirac sodium, 650 mg of acetaminophen plus 60 mg of codeine, 650 mg of acetaminophen alone, and placebo in a randomized, double-blind, parallel-group study. A total of 182 patients entered the study with moderate pain from a third molar extraction and were evaluated for six hours. For many efficacy variables, all active treatments were significantly (p less than or equal to 0.05) more effective than placebo. The two doses of flurbiprofen gave approximately similar results, suggesting a plateau effect above 50 mg. With the exception of relief at one hour, there were no significant differences between zomepirac and either dose of flurbiprofen. However, the mean response with zomepirac was greater than with either 50 or 100 mg of flurbiprofen during the first four hours and lower during the last two hours. The analgesic effects of acetaminophen alone were not significantly different from acetaminophen in combination with codeine. At the first hour, acetaminophen plus codeine led to significantly better pain relief than did 100 mg of flurbiprofen. After the first hour, flurbiprofen resulted in greater mean scores than acetaminophen alone or acetaminophen plus codeine, and these differences were significant at the fifth and sixth hours. Five patients had adverse reactions while receiving acetaminophen, acetaminophen plus codeine, or placebo. There were no adverse effects with flurbiprofen or zomepirac.

Acetaminophen

The correlation between blood levels of ibuprofen and clinical analgesic response.

A clinical trial comparing ibuprofen, 400, 600, and 800 mg, with aluminum ibuprofen, 400 mg, and placebo was conducted in patients with moderate or severe pain subsequent to third molar extraction. Pain intensity ratings and ibuprofen serum levels were obtained at baseline, 30 minutes, 1 hour, and hourly thereafter for 3 hours. Pain intensity ratings were also obtained at hours 4, 5, and 6. Serum levels at 1, 2, and 3 hours correlated significantly with the log dose of ibuprofen (r = 0.35, 0.49, and 0.48, respectively) and with global analgesic response as measured by the percentage of the sum of the pain intensity scores (r = 0.28, 0.34, and 0.26, respectively). However, possibly because of differences in drug formulation, the percentage of the sum of the pain intensity scores did not correlate significantly with log dose. The highest correlations were found between contemporaneous serum levels and pain intensity difference values, particularly at hour 1 (r = 0.54). Our results support the proposition that increased ibuprofen serum levels lead to increased analgesia.

Adolescent

Combining multivariate bioassays.

Linear multivariate theory is applied to the problem of combining several multivariate bioassays. Results are an asymptotic test of the hypothesis of a common log relative potency; the maximum likelihood estimator of the common log relative potency; and an exact and asymptotic confidence interval estimator for log relative potency.

Analysis of Variance

Caffeine as an analgesic adjuvant.

Thirty clinical studies involving more than 10,000 patients conducted during the last 20 years have been analyzed to assess the value of caffeine as an analgesic adjuvant. Although most studies included patients with postpartum uterine cramping or episiotomy pain, some involved patients with pain from oral surgery or headache. In 21 of 26 studies, the relative potency estimates of an analgesic with caffeine to an analgesic without caffeine is greater than one. The pooled relative potency estimates in each of several major categories of combination analgesics are significantly greater than one. The overall pooled relative potency estimate is 1.41, with 95% confidence limits of 1.23 to 1.63; that is, to obtain the same amount of response from an analgesic without caffeine requires a dose that is approximately 40% greater than one with caffeine.

Acetaminophen

Ibuprofen, zomepirac, aspirin, and placebo in the relief of postepisiotomy pain.

Our purpose was to compare the analgesic efficacy of single oral doses of ibuprofen, zomepirac, aspirin, and placebo in severe postepisiotomy pain. One hundred twenty subjects participated in a double-blind, single-dose, parallel-group, 4-hr trial comparing 400 mg ibuprofen, 100 mg zomepirac sodium, 600 mg aspirin, and placebo. For most parameters, including the sum of the pain intensity differences (SPID) and the sum of the hourly pain relief values (TOTAL), which are summary variables, each of the drugs was more effective than placebo. Ibuprofen was more effective than aspirin and zomepirac. Zomepirac and aspirin were equally effective for most of the analgesic variables. There were no adverse effects. Ibuprofen, 400 mg, is an effective oral analgesic and is more effective than 100 mg zomepirac and 600 mg aspirin in most parameters of pain.

Adolescent

Effect of caffeine on acetaminophen analgesia.

Our objective was to determine the value of caffeine in combination with acetaminophen in the relief of pain from uterine cramping, episiotomy, and third molar extraction. In the dental study, 173 patients received two or four tablets of 500 mg acetaminophen or the combination of 500 mg acetaminophen and 65 mg caffeine. In the three postpartum studies, 1345 patients received one, two, or three tablets of acetaminophen, the combination, or a placebo. The mean scores for the summary variable percent sum of the pain intensity differences (% SPID) were higher in all for the combination than for acetaminophen alone, and in two studies the null hypothesis of no differences was rejected. The relative potency estimates for % SPID were 1.9, 1.8, and 1.3 for the three studies in which bioassays could be performed and the pooled relative potency was 1.7 with a 95% confidence interval of 1.1 to 3.1. The results were essentially the same among pain models and among patient groups with similar habitual caffeine consumption. Onset of analgesia was also faster with the combination. We conclude that caffeine enhances the analgesic efficacy of acetaminophen.

Acetaminophen