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学习会混淆正常犬类机械阈值的算法评估。

Learning confounds algometric assessment of mechanical thresholds in normal dogs.

作者信息

Coleman Kevin D, Schmiedt Chad W, Kirkby Kristin A, Coleman Amanda E, Robertson Sheilah A, Hash Jon, Lascelles B Duncan X

机构信息

Department of Small Animal Medicine and Surgery, University of Georgia College of Veterinary Medicine, Athens, Georgia.

出版信息

Vet Surg. 2014 Mar;43(3):361-7. doi: 10.1111/j.1532-950X.2014.12112.x. Epub 2014 Jan 10.

DOI:10.1111/j.1532-950X.2014.12112.x
PMID:24410982
Abstract

OBJECTIVE

To perform algometric readings in normal dogs in a design that would assess possible confounding factors.

STUDY DESIGN

Prospective study.

ANIMALS

Skeletally mature spayed female, intact male and castrated male retriever or retriever mix dogs without orthopedic or neurologic disease (n = 19).

METHODS

Twelve common surgical sites were selected for algometric pressure testing. Threshold response was defined as a conscious recognition of the stimulus, and recorded in Newtons. Sites were tested in the same order, and the testing sequence repeated 3 times on each side of the dog. Dogs were tested in the morning and evening of the same day and was repeated 10-14 days later, allowing 4 separate data collections for each dog.

RESULTS

Data were analyzed using ANOVA or ANCOVA. When all the data were included in the analysis, dog (P < .0001), order (P < .0001), site (P < .0001), site order (P = .0217), time (P < .0001), day (P < .0001) and repetition (P < .0001) all significantly affected the algometer readings. When only the first reading for each site was included in the analysis, dog (P < .0001), site (P < .0001) and sex (P < .0001) all significantly affected algometer readings.

CONCLUSION

These results suggest that learning occurred over repeated collection time points, with dogs anticipating the stimulus and reacting at lower thresholds.

摘要

目的

在正常犬只中进行痛觉测量读数,采用一种能够评估可能混杂因素的设计。

研究设计

前瞻性研究。

动物

骨骼成熟的绝育雌性、未绝育雄性和去势雄性寻回犬或寻回犬混种犬,无骨科或神经疾病(n = 19)。

方法

选择12个常见手术部位进行痛觉测量压力测试。阈值反应定义为对刺激的有意识识别,并以牛顿为单位记录。各部位按相同顺序进行测试,测试顺序在犬只的每一侧重复3次。犬只在同一天的上午和晚上进行测试,并在10 - 14天后重复,每只犬可进行4次独立的数据收集。

结果

使用方差分析(ANOVA)或协方差分析(ANCOVA)对数据进行分析。当所有数据纳入分析时,犬只(P < .0001)、顺序(P < .0001)、部位(P < .0001)、部位顺序(P = .0217)、时间(P < .0001)、日期(P < .0001)和重复次数(P < .0001)均对痛觉测量读数有显著影响。当分析中仅纳入每个部位的首次读数时,犬只(P < .0001)、部位(P < .0001)和性别(P < .0001)均对痛觉测量读数有显著影响。

结论

这些结果表明,在重复的收集时间点上会发生学习现象,犬只能够预期刺激并在较低阈值下做出反应。

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