[Use of a diagnostic prospective algorithm for patients with recurrent miscarriage]

Area of Science:

• Reproductive Medicine
• Clinical Diagnostics
• Genetics

Background:

• Recurrent pregnancy loss (RPL) affects a significant number of couples.
• Identifying the etiology of RPL is crucial for effective management.
• Existing diagnostic approaches may not cover all potential causes.

Purpose of the Study:

• To evaluate a diagnostic algorithm for identifying causes of recurrent pregnancy loss.
• To determine the frequency of specific etiological factors in couples with RPL.
• To assess the diagnostic accuracy of the applied algorithm.

Main Methods:

• A prospective, descriptive clinical trial involving 50 couples with primary or secondary RPL.
• Application of a comprehensive study protocol evaluating anatomic, endocrine, infectious, genetic, and immunologic factors.
• Utilized new technologies for detecting anti-immunity, allo-immunity, and infectious diseases.

Main Results:

• The diagnostic algorithm identified an etiology in 84% of the studied couples.
• Most frequent abnormal findings included luteal phase defects, genital infections (Chlamydia trachomatis, Mycoplasma hominis, Ureaplasma urealyticum), and chromosomal abnormalities.
• No cases of diabetes mellitus or impaired glucose tolerance were observed.
• In 16% of couples, no specific cause was identified.

Conclusions:

• The diagnostic algorithm is effective in identifying the etiology of recurrent pregnancy loss in a majority of cases.
• Infections and chromosomal abnormalities are significant contributors to RPL.
• Further refinement of the algorithm is needed to improve diagnostic and prognostic accuracy.