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Biomedical subjects

S Abbas

Publications and source records attributed to S Abbas.

39 records · Page 3Linked to original sources

Comparative trial of erythromycin and sulphatrimethoprim in the treatment of tetracycline-resistant Vibrio cholerae O1.

The efficacy of the 2 antimicrobial compounds, erythromycin and trimethoprim-sulphamethoxazole, were compared in the treatment of the clinical symptoms of cholera and the eradication of Vibrio cholerae O1 organisms from the stools of patients infected with tetracycline-resistant strains. 47 patients with a clinical diagnosis of cholera, without prior antibiotic therapy, were included in the trial and received either erythromycin, trimethoprim-sulphamethoxazole, or a placebo twice daily. The mean number of vibrios per gram of stool decreased from 5.2 x 10(8) +/- 0.3 per ml to 0 within 36 h of admission following either erythromycin or trimethoprim-sulphamethoxazole therapy, while organisms persisted in placebo-treated controls for more than 7 d. Clinically there was a significant reduction in the number of diarrhoeal stools per day and duration of diarrhoea in the erythromycin-treated group compared with the placebo-treated controls. During the study an isolate resistant to trimethoprim-sulphamethoxazole but sensitive to erythromycin was obtained. As an adjunct to oral rehydration therapy, erythromycin may serve as an effective alternative treatment for cholera, especially in areas where trimethoprim-sulphamethoxazole resistance may be emerging.

Adolescent↗

DIABETEX decision module 2--calculation of insulin dose proposals and situation recognition by means of classifiers.

Current research in the field of medical decision making tries to represent and to analyse complex, uncertain and complicated situations. The first version of DIABETEX, which is a decision support system for the treatment of diabetic out-patients, accepts the challenge to overcome these difficulties. It includes a network of rules on the basis of known glucose-insulin relationships under different situations. The insulin dose for type I diabetic patients is suggested accordingly. In this, the application of special cybernetic methods offers the chance to overcome complexity, uncertainty, fuzzyness and incompleteness of data. Two methods of classification are presented to complete the DIABETEX decision unit: (1) the Bayes' classification is used in the calculation of insulin doses for type I diabetic patients on multiple subcutaneous insulin injections considering the basis-bolus concept; (2) fuzzy classification is employed in separating 'normal diabetic days' from days with information on special situations such as exercise, illness, menstruation on the one side, from stress, hypoglycaemia etc. on the other.

Bayes Theorem↗