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首页> 外文期刊>Journal of Medical Biochemistry >Dilemmas and Controversies in the Interpretation of Laboratory Results
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Dilemmas and Controversies in the Interpretation of Laboratory Results

机译：实验室结果解释中的难题和争议

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Dilemmas and Controversies in the Interpretation of Laboratory ResultsConcentration of many substances in blood is a good indicator of the physiologic state of a patient. It is usual that results obtained represent the real concentration of tested substances in a patient, that is, represent his physiological state. The influence of some factors indicates that this assumption is not always true. Mistakes owing to analytic factors are reduced to the least possible rate by using the quality control. Also, many nonanalytic factors can change the concentration of one or more substances in the sample, so the results obtained are not an indicator of the physiological state of the patient. Results of clinical-biochemical determination are interpreted by comparing with the reference values and so the conclusion is made by a comparison method. In order to perform this process properly, reference values for each specific parameter are necessary. Cyclic variations, physical activity, stress, and other factors significantly affect the obtained result analysis. In the interpretation of results, these specificities have to be considered, otherwise they will be interpreted as pathologic, which leads to wrong conclusions. Inadequate preparation of a patient for a certain analysis and disrespect for rules regarding preparation and sample analyzing can lead to drastic deviation of results from the real values. For those reasons there are certain dilemmas and controversies in the result interpretation.
机译：实验室结果解释中的难题和争议血液中许多物质的浓度很好地指示了患者的生理状态。通常，获得的结果代表患者体内被测物质的真实浓度，即代表患者的生理状态。一些因素的影响表明该假设并不总是正确的。通过使用质量控制，可以将由于分析因素引起的错误减少到最低可能的比率。同样，许多非分析因素可以改变样品中一种或多种物质的浓度，因此获得的结果并非患者生理状态的指标。通过与参考值进行比较来解释临床生化测定的结果，因此可以通过比较方法得出结论。为了正确执行此过程，每个特定参数的参考值都是必需的。周期性变化，身体活动，压力和其他因素会严重影响获得的结果分析。在结果解释中，必须考虑这些特异性，否则将被解释为病理性的，从而导致错误的结论。对患者进行某种分析的准备不足以及不遵守有关准备和样品分析的规则可能会导致结果与实际值发生巨大偏差。由于这些原因，结果解释中存在某些难题和争议。

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