2 research outputs found
THE EFFECT OF TIME INFLUENCE ON PHYSIOLOGICAL PARAMETERS FOLLOWING KETAMINE AND DIAZEPAM ADMINISTERATION IN CATS
No full textObjective: The present study aims to determine the effect of time influence on rectal temperature, respiratory and pulse rate, onset and duration of action, duration of recumbency and recovery following ketamine and diazepam administration in cats.Methods: Experimental study design was used on 20 cats (males and females) randomly divided into two equal groups (A and B). Ketamine (10 mg/kg i. m.) was administered to group A in the morning. The same procedure was repeated using different dosages (15 mg/kg and 20 mg/kg i.m.) at intervals of 3 days each. A similar procedure was applied to group B in the evening. A week after, diazepam (1.5 mg/kg, 2.5 mg/kg and 3.5 mg/kg i. v.) were administered to group A and B using the same procedure used in ketamine administration. All baseline measurements were recorded after each drug administration and were repeated at 15, 30, 45, 60, 75, 90, 105, and 120 min intervals after induction of anesthesia with ketamine and diazepam.Results: It was found that the onset of action of ketamine following i. m. administration was slightly longer at evening (2-5 mins) while that of diazepam was instant after i. v. administration. The duration of recumbency was shorter in the morning using ketamine while longer following diazepam (7-19 mins) administration. The rectal temperature, respiratory and pulse rate were lower in the morning following ketamine and diazepam administration even though, the respiratory and pulse rate decreases as the dose was increased but not statistically significant. The duration of action and recovery was significantly longer in the morning after ketamine and diazepam administration.Conclusion: According to this study, there was not much difference between morning and evening administration using both drugs. However, it should be noted that influence of time of administration was evident in some of the parameters measured especially with diazepam.Â
A Bayesian approach to study the space time variation of leprosy in an endemic area of Tamil Nadu, South India
No full textAbstract Background In leprosy endemic areas, patients are usually spatially clustered and not randomly distributed. Classical statistical techniques fail to address the problem of spatial clustering in the regression model. Bayesian method is one which allows itself to incorporate spatial dependence in the model. However little is explored in the field of leprosy. The Bayesian approach may improve our understanding about the variation of the disease prevalence of leprosy over space and time. Methods Data from an endemic area of leprosy, covering 148 panchayats from two taluks in South India for four time points between January 1991 and March 2003 was used. Four Bayesian models, namely, space-cohort and space-period models with and without interactions were compared using the Deviance Information Criterion. Cohort effect, period effect over four time points and spatial effect (smoothed) were obtained using WinBUGS. The spatial or panchayat effect thus estimated was compared with the raw standardized morbidity (leprosy prevalence) rate (SMR) using a choropleth map. The possible factors that might have influenced the variations of prevalence of leprosy were explored. Results Bayesian models with the interaction term were found to be the best fitted model. Leprosy prevalence was higher than average in the older cohorts. The last two cohorts 1987–1996 and 1992–2001 showed a notable decline in leprosy prevalence. Period effect over 4 time points varied from a high of 3.2% to a low of 1.8%. Spatial effect varied between 0.59 and 2. Twenty-six panchayats showed significantly higher prevalence of leprosy than the average when Bayesian method was used and it was 40 panchayats with the raw SMR. Conclusion Reduction of prevalence of leprosy was 92% for persons born after 1996, which could be attributed to various intervention and treatment programmes like vaccine trial and MDT. The estimated period effects showed a gradual decline in the risk of leprosy which could be due to better nutrition, hygiene and increased awareness about the disease. Comparison of the maps of the relative risk using the Bayesian smoothing and the raw SMR showed the variation of the geographical distribution of the leprosy prevalence in the study area. Panchayat or spatial effects using Bayesian showed clustersing of leprosy cases towards the northeastern end of the study area which was overcrowded and population belonging to poor economic status.</p
