Defining the moribund condition as an experimental endpoint for animal research.
Defining the moribund condition as an experimental endpoint for animal research.
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DOI:
10.1093/ilar.41.2.72
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发表时间:
2000
期刊:
影响因子:
2.5
通讯作者:
L. Toth
中科院分区:
文献类型:
--
作者:
L. Toth
The obligation to alleviate unnecessary pain and distress is an important correlate of the responsible use of animals in biomedical research. Many strategies have been used to meet this challenge, including administering analgesics and anesthetics when appropriate, reducing the numbers of animals tested, and avoiding the use of death as an experimental endpoint. However, many types of research protocols are associated with high mortality rates or require the production of progressive and severe disease states that clearly could cause the deaths of experimental animals. These types of protocols generally specify conditions under which preemptive euthanasia will be performed and may state that animals will be euthanized when they become" moribund." However, persons with different biomedical backgrounds may have varying concepts of the term's implications, rendering it poorly defined and arbitrarily interpreted. Dictionary definitions of moribund include words and phrases such as" dying,"" at the point of death,"" in the state of dying," or" approaching death." However, these definitions are severely limited for laboratory animal research because they do not describe the moribund state in behavioral or physiologic terms. Developing a sound approach to identifying the moribund state is crucial to its effective use as an experimental endpoint.The moribund condition typically implies a severely debilitated state that precedes imminent death. The following discussion describes a general data-based approach for predicting imminent death and defining specific moribund conditions in objective terms that are relevant to specific experimental models (Toth 1997). This process depends on the investigator's ability to identify objective data-based criteria that forecast the death of an experimental animal. Several measurable conditions appear to have good predictive value in specific experimental models. An objective data-based approach to predicting death in the context of specific experiments could provide an unambiguous signal that the experimental endpoint has been reached, thereby facilitating the implementation of timely euthanasia and reducing unnecessary pain and distress.