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Postoperative hepatic dysfunction in perspective. 1970.

Postoperative hepatic dysfunction will remain a difficult entity to place in perspective until increased data are obtained from prospective clinical trials. Ideally these data should compare hepatic dysfunction not only to other postoperative complications, both with regard to overall incidence and to mortality, but also to the overall risks of anesthesia and surgery. The contribution of drug-induced hepatic damage to postoperative hepatic dysfunction has remained unsettled since chloroform was first incriminated during the nineteenth century. The drug was condemned in 1912, without any attempt being made to determine the incidence of the so-called delayed chloroform poisoning, with the result that the drug is still in use and the chloroform controversy remains unsettled to this day. The halothane controversy is also unsettled and currently overshadows the former controversy, although academically of no greater importance. Although not an anesthetic, cincophen is another drug about which there is controversy concerning its hepatotoxic potential. Babior and Davidson noted that it was the first drug implicated in hepatic necrosis--presumably with the exception of chloroform--the first report appearing in 1922. In 1941 the Council on Pharmacy and Chemistry of the American Medical Association concluded that the case against cincophen was not proved and that an urgent need existed for controlled clinical studies. Twenty-five years later Babior and Davidson noted that such studies had still not been undertaken and that the situation was the same as it was a quarter of a century earlier. Perhaps the time has come for a prospective, randomized, controlled clinical trial to be undertaken so as to evaluate the hepatotoxicity of one of these drugs. Perhaps an anesthetic agent such as halothane, concerning multiple administrations of which there is currently serious question, would be a suitable choice for such a study. The drug is in wide use today, partly because of evidence of satisfactory death rates following its administration, but also because on the basis of much excellent physiological data--but an almost total lack of any confirmatory epidemiological evidence--it is thought to contribute positively toward a low overall incidence of postoperative morbidity. Perhaps in addition, as a corollary, the time has come when, as attempts to illuminate a well--enunciated problem of this nature--that is, to test a clearly formulated hypothesis--the isolated case report, the collection of isolated case reports, the series of patients reported in the absence of a proven comparable control group, and the uncontrolled survey, should be "laid to rest." At best they provide only additional hypothesis-formulating information. At worst, however, they give increased exposure to a suggestion concerning cause and effect upon which physicians may act to their patients' detriment if the hypothesis ultimately proves to be erroneous. MacMahon et al. have stated that although there is no clear-cut dividing line between descriptive and analytical epidemiology, most epidemiological studies can indeed be classified primarily as either hypothesis-formulating or hypothesis-testing. Just as we have conducted the definitive retrospective hypothesis-testing study--the National Halothane Study--demanded by the "halothane hepatitis" controversy, so must we now move to the final stage of epidemiological investigation (experimental epidemiology) by investigating the effects of multiple administrations of the drug. On this point the National Halothane Study acts more as a hypothesis-formulating study than as a hypothesis-testing study. Hill has noted that statistical problems must be dealt with by the statistical method. (ABSTRACT TRUNCATED)

Anesthetics, Inhalation↗

An approximation algorithm for haplotype inference by maximum parsimony.

This paper studies haplotype inference by maximum parsimony using population data. We define the optimal haplotype inference (OHI) problem as given a set of genotypes and a set of related haplotypes, find a minimum subset of haplotypes that can resolve all the genotypes. We prove that OHI is NP-hard and can be formulated as an integer quadratic programming (IQP) problem. To solve the IQP problem, we propose an iterative semidefinite programming-based approximation algorithm, (called SDPHapInfer). We show that this algorithm finds a solution within a factor of O(log n) of the optimal solution, where n is the number of genotypes. This algorithm has been implemented and tested on a variety of simulated and biological data. In comparison with three other methods, (1) HAPAR, which was implemented based on the branching and bound algorithm, (2) HAPLOTYPER, which was implemented based on the expectation-maximization algorithm, and (3) PHASE, which combined the Gibbs sampling algorithm with an approximate coalescent prior, the experimental results indicate that SDPHapInfer and HAPLOTYPER have similar error rates. In addition, the results generated by PHASE have lower error rates on some data but higher error rates on others. The error rates of HAPAR are higher than the others on biological data. In terms of efficiency, SDPHapInfer, HAPLOTYPER, and PHASE output a solution in a stable and consistent way, and they run much faster than HAPAR when the number of genotypes becomes large.

Algorithms↗

[Quality assurance in North American anesthesia].

To monitor the quality of care and identify opportunities to improve that care, the Department of Anesthesiology at Hutzel Hospital, Detroit (USA) has developed a quality assurance program. While the use of indicators represents the principal means of obtaining relevant quality of care information, there are several additional data sources that provide the departmental quality assurance committee with the necessary body of information to recognize problems in the delivery of anesthesia care and formulate indicated remedial actions. These can take the form of lectures, development of guidelines, or the acquisition of needed equipment. If identified problems are traceable to a specific practitioner, a number of interventional options are available to the chief of the department, ranging from individual counselling to recommending the removal of clinical privileges. The various corrective actions that have been instituted have led to improvements in clinical care, but perhaps of greater importance are the intangible changes in practice patterns that have occurred as a result of everyone's awareness that an effective monitoring process exists.

Anesthesia Department, Hospital↗

A comparison of breast stimulation and intravenous oxytocin for the augmentation of labor.

BACKGROUND: Breast stimulation to augment labor has been used for centuries in tribal societies and by midwives. In recent years it has been shown to be effective in ripening the cervix, inducing labor, and as an alternative to oxytocin for the contraction stress test. This study compared the effectiveness of breast stimulation with oxytocin infusion in augmenting labor. METHODS: Women admitted to the labor ward were eligible for the study if they had inadequate labor with premature rupture of the membranes and met inclusion criteria. They were assigned to oxytocin augmentation or breast stimulation (manual or pump), and were switched to oxytocin in the event of method failure. Outcomes included time to delivery, intervention to delivery, proportion of spontaneous deliveries, and Apgar scores. One hundred participants were needed in each arm of the study to demonstrate a 2- to 3-hour difference in delivery time, with a power of 80 percent. RESULTS: Analysis was performed on 79 women, of whom 49 were in the breast stimulation group and 30 in the oxytocin group. Sixty-five percent of the participants failed breast stimulation and were switched to oxytocin infusion. Although augmentation start to delivery was shorter for the oxytocin group (p < 0.001), no differences in total labor time occurred between the groups. Nulliparas receiving breast stimulation had more spontaneous (relative risk 1.7, p = 0.04), and fewer instrumental deliveries than those receiving oxytocin (relative risk 0.2, p = 0.02). No significant differences in adverse fetal outcomes occurred between the study groups. CONCLUSIONS: The small number of participants and a variety of problems with the conduct of the study prevented the formulation of reliable conclusions from the results. However, the study provided important insights into the feasibility and problems of developing a high-quality randomized trial of augmentation by breast stimulation.

Adolescent↗

The need for revision of the ICIDH: an example--problems in gait.

In this article a proposal is formulated for adjustment of the Classification of Impairments and the Classification of Disabilities of the International Classification of Impairments, Disabilities, and Handicaps (ICIDH). This proposal is a product of a project from the Dutch National Institute of Research and Postgraduate Education in Physical Therapy. This project is conducted in close cooperation with the professional national organizations of five health professions. To give an indication of the kind of changes proposed, the disabilities and impairments necessary for classifying the complaints, the examination findings, the treatment goals and the treatment results in patients with gait problems are discussed.

Persons with Disabilities↗

Conditioning on subsets of the data: applications to ascertainment and other genetic problems.

I here consider the question of when to formulate a likelihood over the whole data set, as opposed to conditioning the likelihood on subsets of the data (i.e., joint vs. conditional likelihoods). I show that when certain conditions are met, these two likelihoods are guaranteed to be equivalent, and thus that it is generally preferable to condition on subsets, since that likelihood is mathematically and computationally simpler. However, I show that when these conditions are not met, conditioning on subsets of the data is equivalent to introducing additional df into our genetic model, df that we may not have been aware of. I discuss the implications of these facts for ascertainment corrections and other genetic problems.

Data Interpretation, Statistical↗

[A new computational method for estimating X-ray spectral distributions].

A new computational method is described for estimating the exposure-rate spectral distributions of X-rays from attenuation data measured with various filtrations. The estimation problem of X-ray spectra is formulated as the numerical computation of solving a set of linear equation with an ill-conditional nature. In this paper, the singular-value decomposition technique, which differs from the iterative method, is applied to this singular numerical computation problem. The principle of the analysis method is based on that the response matrix of filtrations can be decomposed into some inherent component matrices. X-ray spectral distributions are then represented in a simple combination of some component curves, so that the estimation process can be systematically constructed. The singularity in its computation is removed by selecting the components of the combination, and a performance index is also presented for the optimal selection. The feasibility of the proposed method is studied in detail in a computer simulation using a hypothetical X-ray spectrum produced by assuming experimental conditions. The application results are also shown about the spectral distribution from a 140 kV constant voltage X-ray source.

Computers↗

Mathematical model for controlled diffusional release of dispersed solute drugs from monolithic implants.

New mathematical models are formulated and analytical solutions are presented for the diffusional release of a solute from both non-erodible and biodegradable multi-layered slab matrices in which the initial drug loading c0 is greater than the solubility limit cs. A Stefan problem with moving boundaries results from this formulation. An inward moving diffusional front separates the reservoir (unextracted region) containing the undissolved drug from the partially extracted region. The cumulative mass released is determined as a function of time. The ultimate goal of such an investigation is to provide a reliable design tool for the fabrication of specialized implantable capsule/drug combinations to deliver prespecified and reproducible dosages over a wide spectrum of conditions and required durations of therapeutic treatment. Such a mathematical/computational tool may also prove effective in the prediction of suitable dosages for other drugs of differing chemical or molecular properties without additional elaborate animal testing.

Diffusion↗

Biotransformation of desoxypeganine by microsomal enzymes of the rabbit liver.

The biotransformation of the anticholinergic quinazoline alkaloid Desoxypeganine is studied by means of aerobic incubation with the non-induced supernatant obtained at 9000g from rabbit liver homogenates as enzyme source followed by an admixture of NADPH. The metabolites were identified by high-performance liquid chromatography, chemical ionisation mass spectrometry (LC-CI MS) and electron impact mass spectrometry (LC-EI MS) in comparison with synthetic reference compounds and typical ion fragments taken from literature data. C-oxidation of Desoxypeganine to the major metabolite Pegenone was observed as well as the hydroxylation of the alicyclic ring. The incubation mixture followed Michaelis-Menten kinetics characterised by K(m) = 5.8 x 10(-5) mol L(-1) and V(max) = 4.32 nmol Pegenone/min per mg protein or 3.37 nmol Pegenone/min per nmol CYP 450, respectively. These in vitro results demonstrate that the bioactive substance Desoxypeganine is easily oxidised to its ineffective metabolite Pegenone. This provokes a problem for correct dosage finding in formulations for the treatment of Alzheimer's disease and in the therapy of alcoholism and nicotine dependence.

Animals↗

DFT-HSAB prediction of regioselectivity in 1,3-dipolar cycloadditions: behavior of (4-substituted)benzonitrile oxides towards methyl propiolate.

The regioselectivity of 1,3-dipolar cycloadditions between (4-substituted)benzonitrile oxides and methyl propiolate cannot be rationalized on the basis of the electron demand of the reactants or frontier molecular-orbital theory. To this problem, we have applied a quantitative formulation of the hard-soft acid-base principle developed within the density functional theory. Global and local reactivity indices were computed at B3LYP/6-311+G(d,p) level. The details of charge transfer upon the reactive encounter have been elucidated, and the computed regioselectivity has been shown to be in good agreement with experimental data.

Journal Article↗

Determination of sample time for T1 measurement.

In spin-lattice relaxation time measurements, the relaxation time T1 is estimated from measuring the longitudinal magnetization during its return to thermal equilibrium from an initial (nonequilibrium) state. T1 estimation error depends on a number of factors, including the sample spacing, number of sample points, target T1 range, etc. We describe here a sample-time determination method based on the principles of optimal experimental design. A two-parameter model and a more general three-parameter model of the general T1 measurement experiment are used in this study. Both linear and power-law sample spacing strategies are evaluated. The proposed method formulates the sample-time determination problem in closed form expressions that allow for easy calculation of optimum sample times, if a prior T1 estimate or a probable T1 distribution over the target range is given. Valuable insights can be gained from evaluation of these expressions concerning the relationship of T1 estimation error and the sample spacing, number of sample points, target T1 range, etc.

Humans↗

Phase behavior of tyloxapol/Triton X100/water mixtures.

The influence of admixture of Triton X100 to the polymer tyloxapol and the phase behavior of the mixtures in contact with water was investigated by viscometry, polarization microscopy, and X-ray scattering. The viscosity of tyloxapol/Triton X100 mixtures is lower than that of pure tyloxapol. With increasing Triton X100 content, the phase behavior of the surfactant mixtures in contact with water evolves from the complex behavior of tyloxapol to the simpler one of Triton X100. In contact with water, mixtures rich in tyloxapol form hexagonal, cubic, and lamellar lyotropic liquid crystalline phases over a wide range of concentration and temperature, whereas Triton X100/water mixtures form only a hexagonal phase in a limited concentration and temperature range. The polymeric nature of tyloxapol stabilizes the liquid crystalline structures, and the size of the supramolecular structures in the water-containing surfactant systems is independent of the tyloxapol/Triton X100 mixing ratio but depends highly on water content. The ability of tyloxapol to form stable lyotropic liquid crystalline phases at body temperature, which has been proposed as a basis for the development of novel peroral sustained-release systems, is not significantly impaired by the addition of appropriate amounts of Triton X100. Admixture of Triton X100 to tyloxapol may thus provide a way to circumvent processing problems during the preparation of pharmaceutical formulations based on the highly viscous tyloxapol.

Chemistry, Pharmaceutical↗

New approach to gridding using regularization and estimation theory.

When sampling under time-varying gradients, data is acquired over a non-equally spaced grid in k-space. The most computationally efficient method of reconstruction is first to interpolate the data onto a Cartesian grid, enabling the subsequent use of the inverse fast Fourier transform (IFFT). The most commonly used interpolation technique is called gridding, and is comprised of four steps: precompensation, convolution with a Kaiser-Bessel window, IFFT, and postcompensation. Recently, the author introduced a new gridding method called Block Uniform ReSampling (BURS), which is both optimal and efficient. The interpolation coefficients are computed by solving a set of linear equations using singular value decomposition (SVD). BURS requires neither the pre- nor the postcompensation steps, and resamples onto an n x n grid rather than the 2n x 2n matrix required by conventional gridding. This significantly decreases the computational complexity. Several authors have reported that although the BURS algorithm is very accurate, it is also sensitive to noise. As a consequence, even in the presence of a low level of measurement noise, the resulting image is often highly contaminated with noise. In this work, the origin of the noise sensitivity is traced back to the potentially ill-posed matrix inversion performed by BURS. Two approaches to the solution are presented. The first uses regularization theory to stabilize the inversion process. The second formulates the interpolation as an estimation problem, and employs estimation theory for the solution. The new algorithm, called rBURS, contains a regularization parameter, which is used to trade off the accuracy of the result against the signal-to-noise ratio (SNR). The results of the new method are compared with those obtained using conventional gridding via simulations. For the SNR performance of conventional gridding, it is shown that the rBURS algorithm exhibits equal or better accuracy. This is achieved at a decreased computational cost compared to conventional gridding.

Algorithms↗

Composite linear models for incomplete multinomial data.

A composite linear model (CLM) is a matrix model for incomplete multinomial data. A CLM provides a unified approach for maximum likelihood inference which is applicable to a wide variety of problems involving incomplete multinomial data. By formulating a model as a CLM, one can simplify computation of maximum likelihood estimates and asymptotic standard errors. As an example, we use CLM to test marginal homogeneity for ordered categories, subject to both ignorable and non-ignorable missing-data mechanisms.

Algorithms↗

Emergent models of supple dynamics in life and mind.

The dynamical patterns in mental phenomena have a characteristic suppleness--a looseness or softness that persistently resists precise formulation--which apparently underlies the frame problem of artificial intelligence. This suppleness also undermines contemporary philosophical functionalist attempts to define mental capacities. Living systems display an analogous from of supple dynamics. However, the supple dynamics of living systems have been captured in recent artificial life models, due to the emergent architecture of those models. This suggests that analogous emergent models might be able to explain supple dynamics of mental phenomena. These emergent models of the supple mind, if successful, would refashion the nature of contemporary functionalism in the philosophy of mind.

Animals↗

Dynamic multidrug therapies for HIV: a control theoretic approach.

Motivated by the inability of current drug treatment to provide long-term benefit to HIV-infected individuals, we derive HIV therapeutic strategies by formulating and analyzing a mathematical control problem. The model tracks the dynamics of uninfected and infected CD4+ cells and free plasma virus, and allows the virus to mutate into various strains. At each point in time, several different therapeutic options are available, where each option corresponds to a combination of reverse transcriptase inhibitors. The controller observes the individual's current status and chooses among the therapeutic options in a dynamic fashion in order to minimize the total viral load. Our initial numerical results suggest that dynamic therapies have the potential to significantly outperform the static protocols that are currently in use; by anticipating and responding to the disease progression, the dynamic strategy reduces the total free virus, increases the uninfected CD4+ count, and delays the emergence of drug-resistant strains.

CD4-Positive T-Lymphocytes↗

Locally regularized spatiotemporal modeling and model comparison for functional MRI.

In this work we treat fMRI data analysis as a spatiotemporal system identification problem and address issues of model formulation, estimation, and model comparison. We present a new model that includes a physiologically based hemodynamic response and an empirically derived low-frequency noise model. We introduce an estimation method employing spatial regularization that improves the precision of spatially varying noise estimates. We call the algorithm locally regularized spatiotemporal (LRST) modeling. We develop a new model selection criterion and compare our model to the SPM-GLM method. Our findings suggest that our method offers a better approach to identifying appropriate statistical models for fMRI studies.

Arousal↗

Parameter optimization model of learning in stepping motion.

In this study we combine the representation of motion by a finite number of hardwired functions with parameter optimization to model learning during a stepping motion. Representation of experimental kinematic data by a finite number of predetermined functions and undetermined coefficients was analyzed. Least squares approximation was used to represent experimental data of stepping motions over obstacles of different heights. Functional relationships between coefficients and obstacles heights were also obtained. Learning of stepping over an obstacle was then formulated as a finite dimensional optimization problem. The pattern of foot path, and joint angles trajectories obtained by this learning model, were then compared to the experimental data. The results of the data fitting analysis and of the optimization process as a model for motion learning, indicate that motion can be adequately represented by a set of hardwired functions, and a finite number of task dependent coefficients.

Humans↗