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Year : 2020  |  Volume : 7  |  Issue : 2  |  Page : 147-154

A novel fertility score predictor: a cafeteria approach for fertility treatment option

Shree Hospital, Pune, Maharashtra, India

Correspondence Address:
Dr. Snehal Chavan
M.B.B.S, D.G.O, Fellow in reproductive medicine at Ssmile IVF centre, Shree Hospital, Opposite Agakhan Palace, Nagar Road, Pune, Maharashtra
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/fsr.fsr_11_20

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Background: Fertility prediction application is the need to increase the likelihood for early approach at right time in infertility. In this study, we propose to investigate the use of a fertility score predictor (FSP), score system with colour code for easy understanding and calculated by using common easily available variables associated with fertility. We applied this score system retrospectively to our own out patients and analysed our infertility management protocols to those patients with outcome. Materials and Methods: A total of 100 patients who attended for the infertility treatment at Ssmile Fertility Center in Pune during the period of October 2018 to February 2020 were retrospectively evaluated. The demographic variables were categorised according to their impact on fertility reported by previous studies and each category was assigned to a value to calculate the Fertility score predictor (FSP) with colour code (green, blue, orange, and red green, blue, orange, red, black) for easy understanding and applicability. Results: The association between infertility and colour codes based on FSP was evaluated and the results showed that all analysed variables were significantly associated to the colour code, revealing that a higher number of patients with high FSP presented a healthy lifestyle, regular menstruation, and regular sexual intercourse. Also, it was observed that all patients with high FSP had been diagnosed with unexplained infertility, and the number of patients with other causes of infertility increased as score was lower. Conclusions: The association between FSP and fertility related parameter suggests that the score is suitable for detecting the patients with lower fertility at early stage. The treatment option based on FSP was associated with early detection and appropriate intervention.

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