Abstract

I have read the recent publication on progesterone combined with beta human chorionic gonadotropin measurements and threatened miscarriage with a great interest. Duan et al. concluded that ‘Progesterone combined with b-HCG measurements may be useful for predicting the outcome of threatened miscarriage [1].’ I have some concerns on this work. First, although there is a control group in this work, it is not well matched. This might imply the possible selection bias. Hence, the implication on predictive power in this work might be a misleading conclusion. In this study, a problem in selection on controls by hospital can be expected and the authors should try best to solve this problem. To solve the problem in control selection in studying, when matching cases and controls by hospital is not possible, using of secondary matching technique can be a good alternative [2]. Second, the laboratory investigation in this work has to be mentioned for quality control. There is no information on the quality control of the laboratory investigation procedure. Basically, users of microparticle enzyme immunoassay (MEIA) technique have to beware of possible errors. High variability of the measurement technique is reported [3]. The imprecision can result in erroneous laboratory result interpretation [3]. In addition, there are several causes of possible interferences on MEIA analysis including hematocrit [4] and free hormone [5]. Multiple pregnancy is another obstetric condition that limits the use of the assay in prediction of pregnancy loss [6]. Finally, although either progesterone or b-HCG measurements can be used for prediction of abortion the concern on cost of the laboratory test is required. Based on the mentioned facts, it is suggested that single progesterone test is more proper due to lower cost and easier availability [7]. As a summary, this letter raises an important laboratory concern on using progesterone and beta human chorionic gonadotropin measurements in predicting the natural course of threatened miscarriage. The exact value of this article is to address the forgotten points that can be the causes of errors in interpretation of the measurements.

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