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• W2980759898 abstract "Study Objective To evaluate the factors associated with bleeding during laparoscopic myomectomy. And to incorporate them in a mathematical formula that could predict the bleeding during the surgical procedure. Design We performed a descriptive and prospective study to identify associated factors that could be predictors of bleeding in laparoscopic myomectomy from January 1st 2015 to December 31 2018 at 20 de Noviembre Medical Centre. Setting Centro Médico Nacional 20 de Noviembre Patients or Participants All patients who underwent laparoscopic myomectomy Interventions All the demographic and surgical information from patients who underwent a laparoscopic myomectomy were collected before and during the procedure. The data collected were age, body mass index, number of myomas, size of the biggest myoma, parity, surgical bleeding and surgical time. Using the factors that correlated the most with the amount of bleeding a multiple linear regression model was made and a mathematical formula was developed for the prediction of bleeding. Measurements and Main Results We analyzed 37 patients who underwent a laparoscopy myomectomy during the mentioned period of time. We observed that bleeding during laparoscopic myomectomy relies on variables, which are: Age (r – 0.381, p = 0.02), Number of fibroids Size of fibroids (r 0.436, p = 0.007). Taking into account these variables, we made a multiple linear regression model to obtain a mathematical formula that can predict the bleeding with the next equation. Bleeding = 169.377 – 4.840 (Age) + 31.681 (Number of fibroids) + 9.328 (Fibroid size). Conclusion Bleeding during laparoscopic myomectomy depends mostly on 3 factors that can be incorporated in the aforementioned formula. This can be a useful tool for clinicians to decide whether to use medications to reduce the size of a uterine fibroid or going straight to surgery. To evaluate the factors associated with bleeding during laparoscopic myomectomy. And to incorporate them in a mathematical formula that could predict the bleeding during the surgical procedure. We performed a descriptive and prospective study to identify associated factors that could be predictors of bleeding in laparoscopic myomectomy from January 1st 2015 to December 31 2018 at 20 de Noviembre Medical Centre. Centro Médico Nacional 20 de Noviembre All patients who underwent laparoscopic myomectomy All the demographic and surgical information from patients who underwent a laparoscopic myomectomy were collected before and during the procedure. The data collected were age, body mass index, number of myomas, size of the biggest myoma, parity, surgical bleeding and surgical time. Using the factors that correlated the most with the amount of bleeding a multiple linear regression model was made and a mathematical formula was developed for the prediction of bleeding. We analyzed 37 patients who underwent a laparoscopy myomectomy during the mentioned period of time. We observed that bleeding during laparoscopic myomectomy relies on variables, which are: Age (r – 0.381, p = 0.02), Number of fibroids Size of fibroids (r 0.436, p = 0.007). Taking into account these variables, we made a multiple linear regression model to obtain a mathematical formula that can predict the bleeding with the next equation. Bleeding = 169.377 – 4.840 (Age) + 31.681 (Number of fibroids) + 9.328 (Fibroid size). Bleeding during laparoscopic myomectomy depends mostly on 3 factors that can be incorporated in the aforementioned formula. This can be a useful tool for clinicians to decide whether to use medications to reduce the size of a uterine fibroid or going straight to surgery." @default.
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• W2980759898 date "2019-11-01" @default.
• W2980759898 modified "2023-09-27" @default.
• W2980759898 title "2079 Introduction of A Mathematical Model for the Prediction of Bleeding in Laparoscopic Myomectomy" @default.
• W2980759898 doi "https://doi.org/10.1016/j.jmig.2019.09.198" @default.
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