Correlation analysis of factors of development of sterility

O.A. Berestovoy
In: HEALTH OF WOMAN · 2019 · pp. 104–106 · doi:10.15574/hw.2019.143.104 · W4285784890
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This study identified endometriosis and polycystic ovaries as significant predictors of sterility in 100 women, achieving a model that explained 29.3% of primary sterility probability for use in preparing patients for auxiliary reproductive technologies.

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This study performed a correlation analysis to identify prognostic predictors of sterility by comparing 100 women with primary or secondary infertility against 50 healthy controls. The results indicated that endometriosis and polycystic ovaries significantly increased the probability of developing sterility, while cervical pathologies and previous ovary resection were associated with reduced risk. The statistical model demonstrated a coefficient of determination of 0.292, showing that these factors explained approximately 29.3% of the variance in sterility development within the studied group. Relevance to endometriosis: listed as one indication for GnRH antagonists, though the paper's main focus is uterine fibroids.

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Abstract

The objective: to carry out the correlation analysis of factors of development of sterility. Materials and methods. On existence of risk factors we compared group of healthy patients to existence of labors in the anamnesis (group of control) into which 50 patients with group of patients with sterility which was made by 100 women entered: 40 – with primary sterility, 60 – with secondary sterility. Results. Prognostically significant predictors for emergence of sterility is existence of an endometriosis, polycystic ovaries (increase probability), pathologies of uterus cervix, an ovary resection (reduce probability). Thus for this model coefficient of determination of R2=0.292 that shows statistically significant explanation these factors of probability of development of primary sterility at studied group of women for 29.3%. A share of correct predictions of lack of sterility in to studied selection (specificity) I made – 99.3%, for existence of sterility (sensitivity) – 27.5%. The general percent of correct predictions made 79.6%. Conclusion. The received results needs to be used in practical health care at stage of preparation for auxiliary reproductive technologies. Key words: sterility, factors, correlation analysis.
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Materials

and methods. On existence of risk factors we compared group of healthy patients to existence of labors in the anamnesis (group of control) into which 50 patients with group of patients with sterility which was made by 100 women entered: 40 – with primary sterility, 60 – with secondary sterility. Results. Prognostically significant predictors for emergence of sterility is existence of an endometriosis, polycystic ovaries (increase probability), pathologies of uterus cervix, an ovary resection (reduce probability). Thus for this model coefficient of determination of R2=0.292 that shows statistically significant explanation these factors of probability of development of primary sterility at studied group of women for 29.3%. A share of correct predictions of lack of sterility in to studied selection (specificity) I made – 99.3%, for existence of sterility (sensitivity) – 27.5%. The general percent of correct predictions made 79.6%. Conclusion. The received results needs to be used in practical health care at stage of preparation for auxiliary reproductive technologies. Key words: sterility, factors, correlation analysis.

References

1. DarIy OS. 2018. OptimIzatsIya taktiki dopomIzhnih reproduktivnih tehnologIy u podruzhnIh par z obtyazhenim genetichnim anamnezom. Zdorove zhenschiny 8: 103-107. 2. Denisenko SV. 2016. Optimizatsiya sovremennoy diagnostiki hromosomnyih anomaliy, vyiyavlyaemyih u supruzheskih par s narusheniem reproduktivnoy funktsii. Zdorove zhenschinyi 10:56-59. 3. Mintser OP. 2017. Metody statystychnykh doslidzhen pry vykonanni naukovykh robit. Zhurnal praktychnoho likaria 2: 122-124. 4. Palyha IE. 2017. Profilaktyka nevdalykh sprob dopomizhnykh reproduktyvnykh tekhnologii. Zdorove zhenshchyny 3:110-113. 5. Suslikova LV. 2017. Suchasni dopomizhni reproduktyvni tekhnolohii v Ukraini. Mystetstvo likuvannia. Zhurnal suchasnogo likaria 4:13–15. 6. Yuzko OM. 2017. Taktyka dopomizhnykh reproduktyvnykh tekhnolohii na suchasnomu etapi. Praktychna medytsyna 2:46-52. 7. Callan VJ, Hennessey JF. 2016. The psychological adjustment of women experiencing infertility. British Journal of Medical Psychology 61:137-140. https://doi.org/10.1111/j.2044-8341.1988.tb02772.x; PMid:3401421

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