|
Asian Journal of Andrology (2010) 12: 83-90. doi: 10.1038/aja.2009.9
Defining laboratory reference values and decision limits: populations, intervals, and interpretations
James C. Boyd1
1 Department of Pathology, University of Virginia Health System, Charlottesville, VA 22908-0168, USA
Correspondence: Dr James C. Boyd, Department of Pathology, University of Virginia Health System, P.O. Box 800168, Charlottesville, VA 22908-0168, USA. Fax: +1-434-243-5930 E-mail: jboyd@virginia.edu
Received 1 January 2009; Revised 15 January 2009; Accepted 19 January 2009.
| Abstract |
This article provides a brief overview of various approaches that may be utilized for the analysis of human semen test results. Reference intervals are the most widely used tool for the interpretation of clinical laboratory results. Reference interval development has classically relied on concepts elaborated by the International Federation of Clinical Chemistry Expert Panel on Reference Values during the 1980s. These guidelines involve obtaining and classifying samples from a healthy population of at least 120 individuals and then identifying the outermost 5% of observations to use in defining limits for two-sided or one-sided reference intervals. More recently, decision limits based on epidemiological outcome analysis have also been introduced to aid in test interpretation. The reference population must be carefully defined on the basis of the intended clinical use of the underlying test. To determine appropriate reference intervals for use in male fertility assessment, a reference population of men with documented time to pregnancy of < 12 months would be most suitable. However, for epidemiological assessment of semen testing results, a reference population made up of unselected healthy men would be preferred. Although reference and decision limits derived for individual semen analysis test results will undoubtedly be the interpretational tools of choice in the near future, in the long term, multivariate methods for the interpretation of semen analysis alone or in combination with information from the female partner seem to represent better means for assessing the likelihood of achieving a successful pregnancy in a subfertile couple.
Keywords: decision limits, fertility assessment, human semen testing, likelihood ratios, reference values, semen analysis |
|
