The effects of analytical factors on second trimester risk estimations
| Autor: | Abdullah Olgun, MK Erbil, Muhittin Serdar, L Tutuncu, Adnan Haşimi, Taner Ozgurtas |
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| Rok vydání: | 2006 |
| Předmět: |
Adult
medicine.medical_specialty Population Aneuploidy Trisomy Chorionic Gonadotropin Unconjugated estriol Predictive Value of Tests Pregnancy Second trimester Humans Mass Screening Medicine Neural Tube Defects Risk factor education Chromosomes Human 16-18 education.field_of_study medicine.diagnostic_test Estriol business.industry Obstetrics Triple test Pregnancy Outcome Obstetrics and Gynecology General Medicine medicine.disease Evaluation Studies as Topic Pregnancy Trimester Second Prenatal risk Female alpha-Fetoproteins Down Syndrome business Biomarkers |
| Zdroj: | International Journal of Gynecology & Obstetrics. 93:28-32 |
| ISSN: | 0020-7292 |
| DOI: | 10.1016/j.ijgo.2005.12.026 |
| Popis: | Objective: Triple test with measured maternal serum α-fetoprotein, human chorionic gonadotropin, and unconjugated estriol combination as a routine procedure for fetal Down's syndrome, trisomy 18 and neural tube defect screening has some intrinsic problems, such as precision. The aim of this study was to evaluate the effect of analytical variation of triple test on prenatal risk estimation. Method: Five different serum pools were prepared and triple test was performed seven times for within run and five times for between run precision determination. Result: Within run and between run, precision values of risk estimations by measuring the same sample for Triple test were calculated to be 7.9–21.4% and 14.1–31.0% for trisomy 21, 13.2–23.7% and 14.2–15.1% for trisomy 18, 47.2 and 42.0 % for neural tube defect, respectively. Conclusion: These results demonstrated that analytical variations have great impact on second trimester risk estimation procedures; therefore, triple test analyses should be carried out in laboratories using strict internal and external quality control programs. Moreover, triple test results should always be interpreted by considering analytical and biological variations. |
| Databáze: | OpenAIRE |
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