Abstract:
ObjectiveTo use the predictive analysis model to match the learning curve of hysteroscopic submucosal myomectomy, and provide a reference for learning the process of hysteroscopic submucosal myomectomy in primary hospitals.
MethodsClinical data of 66 cases who underwent hysteroscopic submucosal myomectomy was selected.The patients were numbered according to the sequence of the operation time, and the learning curve was plotted according to the intraoperative blood loss and the operation time by the moving average method.The patients were divided into the first stage group (1-20 cases, group A) and the second stage group (21-66 cases, group B), and the operation related indicators of the patients in the two groups were compared.
ResultsThe operation time, intraoperative blood loss and hospitalization time of patients in group A were greater than those in group B (P < 0.05 to P < 0.01), and there was no significant difference in postoperative complications between the two groups (P>0.05).There was no significant difference in the recovery time of menstruation, the amount of menstruation, the hemoglobin level in the first month after operation and the pregnancy outcome after follow-up between the two groups(P>0.05).
ConclusionsAfter the learning stage of 20 surgeries, the surgical technique is relatively stable for beginners in hysteroscopic submucosal myomectomy.Beginners need to strictly grasp the indications in the first 20 surgeries, master the operation, quickly deal with emergencies, in order to better fully master the technology.
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