New Test may Help Couples Understand Why They Experience Multiple Miscarriages: Study

New high-resolution melting analysis-based test (HRM) that is accurate, rapid, cheap, and easy to perform could be used as an initial screening tool for recurrent pregnancy loss (RPL) evaluation or as an alternative genetic test when other methods are unavailable or unaffordable, reports a new study. The findings of the study are published in the Journal of Molecular Diagnostics. Although genetic testing is important for evaluating recurrent pregnancy loss (RPL), current tests have revealed shortcomings in clinical practice. A report, published by Elsevier, describes a new high-resolution melting analysis-based test (HRM) that is accurate, rapid, cheap, and easy to perform. When used prior to other tests, it improved cost-effectiveness by 30 percent, an important consideration in areas with limited healthcare resources.

"We speculated that the cost of genetic tests such as chromosomal microarray (CMA) or next-generation sequencing (NGS) would remain high enough to hinder their acceptance as affordable detection methods for RPL evaluation in underdeveloped regions," explained lead investigator Prof. Qiwei Guo, United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health at Xiamen University, Xiamen, China. "Inspired by the success of prenatal screening and diagnosis for Down syndrome, we hypothesized that a well-accepted screening method like HRM combined with a diagnostic method (CMA or NGS) would advance the clinical practice of genetic testing for products of conception (POCs)."

The use of genetic tests for POCs has been limited in underdeveloped regions with large populations due to low test capacity and high cost. Prof. Guo and his co-investigators observed that although most patients with RPL wanted genetic testing, less than 5 percent had the testing performed, primarily because the cost (about the US $440) was prohibitive.

HRM is recognized as one of the best screening methods for detecting point mutations and aneuploidy (the presence of an abnormal number of chromosomes in a cell, for example, a human cell having 45 or 47 chromosomes instead of the usual 46) for other medical conditions.

Investigators examined 765 miscarriage tissue samples that had undergone karyotyping, the conventional gold standard genetic test for RPL evaluation. Karyotyping shows the number, size, and appearance of the chromosomes, but the process can be labor-intensive, time-consuming, and susceptible to human error.

Of those 765 samples, approximately 60 percent showed the presence of numerical chromosomal abnormalities (NCAs). Almost two-thirds of those with NCAs had the type of abnormalities that could be detected with HRM testing. Samples analyzed with HRM showed a high technical sensitivity (96.1 percent) and specificity (96.3 percent) as well as a high positive predictive value (95.9 percent) for the screening of chromosomal abnormalities.

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Results determined that the costs of diagnosing and explained RPL using karyotyping or the HRM test alone were similar. Performing HRM screening before CMA/NGS testing, however, improved cost-effectiveness by approximately 30 percent. The data also suggested that the test was, even more, cost-effective in women 35 years or older because of increased screening sensitivity.

"We suggest that the HRM test could be used as an initial screening tool followed by other diagnostic methods to improve the cost-effectiveness of RPL evaluation or as an alternative genetic test when other methods are unavailable or unaffordable," stated Prof. Guo. He added that another advantage of HRM testing is its high capacity, which is especially important in underdeveloped countries with large populations.

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"We believe that identifying the causes of miscarriages not only assists clinicians in genetic counseling and therapeutic management but also reduces the emotional distress and psychological burden on affected couples," noted Prof. Guo.

Source-Eurekalert