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Analysis of a Survey Database of Pet Food-Induced Poisoning in North America

机译:北美宠物食物中毒调查数据库的分析

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摘要

Following the outbreak of pet food-induced nephrotoxicity in March 2007, a voluntary online survey of all AAVLD-accredited laboratories, commercial laboratories, and veterinary clinics across North America was conducted. There was no information on toxicity of melamine or factors affecting the disease outcome following exposure to melamine in pets. Data were collected from affected pets to learn about the disease outcome and the affected pet population. The web-based electronic survey used the online tool, SurveyMonkey™. Data were collected between April 5 and October 31, 2007. Four hundred fifty-one cases of 586 reported cases met the criteria for inclusion in the study. Most reported cases were from California, Texas, Michigan, Florida, and Ontario. Of the 451 cases, 424 were reported as affected. Of these, 278 cases (65.6%) were cats and 146 (34.4%) were dogs. A total of 278 pets (171 cats and 107 dogs) were reported to have died (a ratio of 1.6:1). However, within species, there was a higher percentage of deceased dogs (73.3%) than cats (61.5%). Of the affected pet population, older male cats with preexisting disease conditions were more likely to be deceased. Analysis of the pets in this large database of naturally affected pets yielded interesting findings. It showed that more cats than dogs were affected and also that preexisting renal diseases and old age predicted the most severe outcome (death or euthanasia) than any other factors.
机译:在2007年3月宠物食品诱发的肾毒性暴发之后,对北美所有AAVLD认可的实验室,商业实验室和兽医诊所进行了自愿在线调查。没有关于三聚氰胺的毒性或影响宠物接触三聚氰胺后疾病结果的因素的信息。从患病宠物中收集数据以了解疾病结局和患病宠物数量。基于网络的电子调查使用了在线工具SurveyMonkey™。在2007年4月5日至10月31日之间收集了数据。586例报告病例中的451例符合纳入研究的标准。报道最多的病例来自加利福尼亚,德克萨斯州,密歇根州,佛罗里达州和安大略省。在451例病例中,有424例据报道受到影响。其中,猫为278例(65.6%),狗为146例(34.4%)。据报告,总共有278只宠物(171只猫和107条狗)死亡(比率为1.6:1)。但是,在物种内,死犬的百分比(73.3%)比猫(61.5%)高。在受影响的宠物种群中,患有疾病的老年雄性猫更容易死亡。在这个庞大的自然感染宠物数据库中对宠物进行的分析得出了有趣的发现。结果表明,与猫相比,猫受到的影响要多于狗,而且预先存在的肾脏疾病和高龄预示着最严重的后果(死亡或安乐死)比其他任何因素都多。

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