Multivariate analysis applied in dataset of Poison Control Center of SAo Paulo, Brazil

被引:2
|
作者
Eller, Sarah [1 ,2 ]
Zucoloto, Alexandre Dias [1 ,3 ]
Rodrigues de Oliveira, Carolina Dizioli [3 ]
Miello Hernandez, Edna Maria [3 ]
Gimenez Fruchtengarten, Ligia Veras [3 ]
Meira de Oliveira, Flavia Neri [4 ]
de Oliveira, Tiago Franco [2 ]
Yonamine, Mauricio [1 ]
机构
[1] Univ Sao Paulo, Sch Pharmaceut Sci, Sao Paulo, SP, Brazil
[2] Fed Univ Hlth Sci Porto Alegre, Porto Alegre, RS, Brazil
[3] Poison Control Ctr Sao Paulo, Sao Paulo, SP, Brazil
[4] Univ Fed Goias, Pharm Coll, Goiania, Go, Brazil
基金
巴西圣保罗研究基金会;
关键词
CLASSIFICATION; HONEYS;
D O I
10.1038/s41598-020-66485-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Multivariate analysis techniques could be used to identify possible intercorrelations in intoxications cases. The statistical analyses used were a multiple logistic regression, multiple correspondence analysis, principal component and hierarchical cluster analysis. Of the 320 samples analysed, 192 samples were positive for some of the investigated toxic agents, of which 100 were positive for ethanol and 131 were positive for other substances. It was possible to group the patients into 3 clusters, which appears 66.5% of this information in the three first factorial axes. On the first axis, the male patients were separated from the female patients. Patients exposed to drugs, between 30 and 39 years old were grouped in the same cluster. On the second factorial axis, patients who were intoxicated with ethanol and who became intoxicated with diazepam were grouped. This work contributed to the mapping of intoxication cases at the Poison Control Centre of the SAo Paulo city, Brazil (CCI-SP) and serves as an initial study for the creation of a database that could be updated constantly and thus could provide a toxicovigilance system for educational policies.
引用
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页数:8
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