Effect of laparoscopic pregnancy object resection combined with hysteroscopy exploration on the endometrial receptivity of CSP patients
Objective To analyze the effect of laparoscopic pregnancy object resection combined with hysteroscopy exploration on endometrial receptivity in patients with type Ⅲ cesarean scar pregnancy(CSP).Methods The clinical data of 95 patients with type Ⅲ CSP admitted to Huzhou Central Hospital from January 2020 to January 2022 were collected.According to different treatment methods,they were divided into control group(47 cases of vaginal surgical local resection)and observation group(48 cases of laparoscopic pregnancy material resection combined with hysteroscopy exploration).Compared with two groups of postoperative indicators,physiological stress indicators,endometrial receptivity indicators,endometrial blood flow and endometrial echo classification.Results The vaginal bleeding time,human chorionic gonadotropin drop to normal time,menstruation return to normal time in observation group were shorter than those in control group(P＜0.05).The total incidence of complications in observation group was 2.08％,which was lower than 12.76％in control group(P＜0.05).After operation,the levels of cortisol and C-reactive protein in two groups increased,endometrial volume,vascular index and vascular flow index values decreased,and the changes of each index in observation group were greater than those in control group(P＜0.05).After treatment,there were differences in endometrial blood flow type and endometrial echo type between two groups(P＜0.05).The endometrial echo was mainly type Ⅲ in observation group(52.08％)and type Ⅱ in control group(38.30％).The endometrial echo of observation group was mainly type A(54.17％),while control group was mainly type B(40.43％).Conclusion Laparoscopic pregnancy object resection combined with hysteroscopy exploration is effective in the treatment of type Ⅲ CSP patients,with less damage to endometrial receptivity,which is conducive to the needs of patients for later pregnancy.
万方数据
维普
