What does a semi-quantitative ovulation test strip mean?

Update Date: Source: Network

Semi-quantitative ovulation test strip is made using monoclonal immunochromatography technology. During use, it can accurately and effectively detect the peak of luteinizing hormone. The accuracy of its captured results is much higher than that of ordinary test strips. It is a commonly used ovulation test strip in clinical practice during pregnancy preparation, mainly used to detect the level of luteinizing hormone in urine, thereby determining the ovulation time and increasing the chance of pregnancy.

Best Time to Use the Test Strip:

  1. The best time to use each month: Start testing 10 days after menstruation and use it once a day. If you find that it gradually becomes stronger, you should increase the frequency, preferably every four hours. Try to detect the result of strong positive and pay attention to identifying the timing when the strong positive becomes weaker, because the ovulation period is generally during the stage when the strong positive becomes weaker. If it weakens rapidly, it means that ovulation is not far away, within the next 24 hours.
  2. The best time of the day: It is best to test within the time frame of 10 am to 8 pm every day. When the test strip weakens, continue using it until a negative result is obtained, and then rest for a few days. After 10 days of ovulation, resume the frequency of using the test strip once a day. If the result shows a strong positive, the woman's chances of pregnancy are high, and a pregnancy test strip should be used. If the test strip result is positive, consult a doctor for imaging to determine pregnancy.

Precautions for Semi-quantitative Ovulation Test Strip:

In theory, morning urine is the best sample for testing because it is more concentrated. However, if you can only test once a day, the most effective time frame is between 3-8 pm, as 90% of LH values can be detected during this period. Generally speaking, testing more than twice a day can improve the detection rate, but the cost will also increase with the increase in testing frequency.