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| Author(s): |
Sarah Carobini Werner de Souza Eller Franco de Oliveira
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Paulo. |
| Institution: | Universidade de São Paulo (USP). Conjunto das Químicas (IQ e FCF) (CQ/DBDCQ) |
| Defense date: | 2018-05-17 |
| Examining board members: |
Maurício Yonamine;
Valdemir Melechco Carvalho;
Eryberto Steves Tabosa do Egito;
Raphael Caio Tamborelli Garcia
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| Advisor: | Maurício Yonamine |
| Abstract | |
Toxicology has played an important role in the identification of harmful effects to the population, generating subsidies for decision making in clinical practice, helping in this way the good prognosis of acutely intoxicated patients. According to the Pan American Health Organization, success in any health intervention can only be achieved by creating and maintaining a reliable database that is capable of predicting the various characteristics of intoxications, such as the target population and their susceptibilities. Thus, it is recommended that doctors, specialists, legislators and health administrators adopt in their routine a systemic and integrated data collection for the mapping and characterization of intoxications. In this scenario, multivariate analysis techniques could be used to evidence possible intercorrelations; however, its use is not yet common in clinical toxicology. In this work, were identified and quantified exogenous agents in biological samples (blood and urine) from the Poison Control Center São Paulo city, correlating the data obtained from these analyzes with the clinical and prognostic profile of the patients. Benzodiazepines, antidepressants, anticonvulsants, acetaminophen, drugs of abuse and pesticides were selected according to the incidence reported by this center in the period from 2013 to 2014. Of the total number of samples analyzed (n = 320), 192 samples have shown to be positive for some of the analytes, from these 100 were positive for ethanol and 131 positive for other substances. The data were submitted to multiple correspondence analysis and hierarchical cluster analysis. From the multivariate analysis it was possible to group the individuals into 3 clusters, which corresponded to 66.5% of the total information. In the first axis, the patients were separated from the female gender, who were intoxicated or were exposed to drugs and suicide attempt of the male patients, aged between 30 and 39 years, who became intoxicated with drugs of abuse. In the second factorial axis were grouped the patients who were intoxicated with ethanol, together with patients who became intoxicated with diazepam. This work contributed to the mapping of intoxication cases attended by the CCI-SP and was a initial study for the creation of a database that could be fed constantly and thus provide the toxicovigilance system with a basis for educational policies. (AU) | |
| FAPESP's process: | 14/05877-0 - Application of multivariate statistical techniques for the mapping of the cases of intoxication attended in poison control center in São Paulo City |
| Grantee: | Sarah Carobini Werner de Souza Eller Franco de Oliveira |
| Support Opportunities: | Scholarships in Brazil - Doctorate |