Effect of membrane dimensions and shear rate on plasma filtration for hollow fibers.
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Biomedical subjects
Publications and source records attributed to M Garreau.
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The plasmatic levels of free, sulfoconjugated and total dihydroxyphenylethyleneglycol (DOPEG), the main deaminated metabolite of noradrenaline, have been measured in thirty DSM3 major depressive inpatients and in thirty healthy controls matched for sex and age. DOPEG levels have been measured by a radioenzymatic assay. Almost fifty per cent of depressed inpatients were D.S.T. non suppressors, thirteen patients were unipolar and thirteen bipolar. Plasmatic DOPEG levels were significantly lower in depressed patients as compared to healthy controls despite a wide interindividual range of DOPEG values. However, the ratio of free over conjugated DOPEG was not statistically different in the two groups. DOPEG levels were slightly higher in the female population of healthy volunteers but not in the depressed patients. In the healthy volunteers, but not in depressed patients, there was a trend for free DOPEG to increase and for conjugated DOPEG to decrease with age. There was no statistical correlation between the DOPEG levels and Hamilton Depression Scores. Also plasmatic DOPEG values were not different in uni or bipolar patients and in DST suppressor or DST non suppressor inpatients. The significance of the decrease of plasmatic DOPEG levels in depressed patients is discussed: this diminution may reflect a deficiency in noradrenaline metabolism in CNS or else may be attributed to other factors e.g. alteration in circadian rhythms, differences in motor activity, in level of anxiety, in sleep and feeding behaviors; cotreatment with benzodiazepine and opiate compounds; monoamine oxidase activity.
We describe a statistical technique for achieving unbiased classification of 111 psychopharmaceutical agents from computerized clinical data. Three different methods were used: the reciprocal averaging method describes and pictures the clusterings of the numerous clinical datum available; the cluster analysis method corroborates the arrangement of the drugs and their effects into groups; the discriminating analysis method assigns the remaining drugs to their groups. The drugs were ultimately classified into six different groups. One of these groups, which included many of the antidepressant drugs, was reanalyzed with the reciprocal averaging method. This led to separating the monoamine oxidase inhibitors from the other antidepressants. Our technique will be immediately useful for classifying new psychopharmaceutical agents. If biologic data are included, this technique will be helpful for studying correlations between the structure and the effects of drugs.
The authors give the used statistical approach to realize automatic classification on computarized clinical data about 111 psychotropic drugs. Four ways of analyses are used: a reciprocal averaging method to describe and to put together the numerous properties, a cluster analysis and a sequential dynamic clusters method to define groups, a decisionnal method discriminal analysis, to put non classified drugs down these groups. This methodology points out six groups characterized by clinical properties. Others reciprocal averaging analysis part: desinhibitors antipsychotic drugs and sedative antipsychotic drugs, monoamine oxydase inhibitors and others antidepressants, amphetamine drugs and non amphetaminic psychostimulants. This statistical way permits classification of new drugs without a priori.