Abstract:

Objective To analyze the disease composition and influence factors of gynecological patients undergoing abdominal surgery in a hospital of traditional Chinese medicine，and to provide reference for clinical management of gynecology and scientific research during perioperative period. Methods A retrospective survey was used to collect gynecological abdominal surgery cases from 2011 to 2020，and icD⁃10 code to analyze the main diagnoses. Descriptive analysis and Pareto graph analysis were used to analyze the data. Results From 2011 to 2020，the main diseasesof inpatients undergoing gynecological abdominal surgery were uterine fibroids，endometri⁃ osis，ovarian benign tumor，ectopic pregnancy，infertility，adenomyosis，uterine malignant tumor，accounting for 82.69% of the total diseases. Type B disease factors were cervical malignant tumor，pelvic inflammatory disease and ovarian cyst，accounting for 10.14% of the total. Type C disease factors were ovarian malignant tumor，cervical squamous intraepithelial neoplasia，uterine prolapse，abnormal development of female genitalia，endometrial polyps，abnormal uterine bleeding，polycystic ovary syndrome，hydatidiform mole，vulva malignant tumor and other diseases，accounting for 7.17% of the total. From 2011 to 2020，the median length of hospital stay of gynecological inpatients undergoing abdominal surgery was 9 d（ from 6 to 37 d），and the longest average length of hospital stay was related to uterine and ovarian malignant tumors. Conclusion The main diseases of gynecological inpatients undergoing abdominal surgery are uterine fibroids，endometriosis，benign ovarian tumor，ectopic pregnancy，infer⁃ tility，adenomyosis and uterine malignant tumor. The average length of stay of inpatients undergoing abdominal sur⁃ gery decreases year by year. It is of great significance to strengthen relevant perioperative medical management and scientific research to improve the quality of clinical medical work.

Key words:

 , gynecological abdominal surgery, disease composition, Pareto diagram, ICD ? 10, length of hospital stay