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OvuSense® Pro – Advanced Clinical Tracking and Monitoring

What is it?

OvuCore™ is a fully approved Class II medical device for measuring core body temperature (CBT). This allows patients who are trying to conceive achieve pregnancy by learning their ovulation pattern. Since the launch of OvuSense® Pro , clinicians can access patient data and patient cycle patterns to detect any underlying sub fertility issues.

How does it work?

OvuCore™ uses a specially designed sensor, placed in the vagina overnight, to measure CBT with a resolution of 0.003˚ Celsius. The data from the sensor is downloaded each morning to the dedicated OvuSense™ App.

Key information

  • CBT is a proxy for the level of progesterone. The rise in CBT associated with progesterone release during ovulation is consistent in all women. CBT is more accurate for predicting and confirming the date of ovulation than any other home based method currently available
  • Prediction accuracy is clinically proven with OvuCore™ with a positive predictive value of 96% for informing the user up to 24 hours in advance when they are going to ovulate using current cycle data and a 99% accuracy for confirming the date of ovulation1, 2
  • OvuSense® Pro shares information between OvuCore™ users and their health care professionals. This provides you as a fertility specialist with complete details of patient charts and events such as medication dosage and timing. This is all logged in the patient’s OvuSense™ app, which is shared with you via the OvuSense® Pro portal
  • Automatic recognition of a range of atypical cycle patterns. The analysis of cycle patterns can aid diagnosis of ovulatory issues, miscarriage risk and potential pregnancy complications.3

Your patients can benefit for a 30% discount when using HUB30 at checkout. Please click here for detailed healthcare provider information.

References

  1. Papaioannou S, et al. 2014. Vaginal core body temperature assessment identifies pre-ovulatory body temperature rise and detects ovulation in advance of ultrasound folliculometry. Poster presented at ESHRE Congress. 29 June – 2 July 2014. Munich, Germany.
  2. Papaioannou S, et al. 2013. Quality index assessment of vaginal temperature-based fertility prediction and comparison with luteinising hormone testing, ultrasound folliculometry and other home cycle monitors. Fert Steril. Volume 100, Issue 3, Supplement, Pages S326–S327.
  3. Hurst B, et al. Atypical vaginal temperature patterns may identify subtle, not yet recognized, causes of infertility. Poster presented at the ASRM Congress. 12-16 October 2019. Philadelphia, USA.