Chinese Medical E-ournals Database

Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition) ›› 2025, Vol. 21 ›› Issue (06): 689 -696. doi: 10.3877/cma.j.issn.1673-5250.2025.06.012

Original Article

Analysis of factors influencing postoperative infection in patients with gynecological malignant tumors

Haiqi Tian1, Zhangmei Hou2, Jiarui Li3, Cheng Chen4, Xiaoyan Liu2,()   

  1. 1Department of Obstetrics and Gynecology, Chongqing Nan′an District People′s Hospital, Chongqing 400060, China
    2Department of Infection Control Office, Chongqing General Hospital, Chongqing University/Chongqing General Hospital, Chongqing 401147, China
    3Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing 400038, China
    4Department of Obstetrics and Gynecology, Chongqing General Hospital, Chongqing University/Chongqing General Hospital, Chongqing 401147, China
  • Received:2025-05-29 Revised:2025-11-10 Published:2025-12-01
  • Corresponding author: Xiaoyan Liu
  • Supported by:
    Key and Special Project for Technological Innovation and Application Development of Chongqing Science and Technology Bureau(CSTB2022TIAD-KPX0183)
Objective

To explore the influencing factors of postoperative infection in patients with gynecological malignant tumors.

Methods

A total of 234 patients with gynecological malignancies who underwent surgical treatment at the Department of Gynecology, Chongqing General Hospital, Chongqing University from April 2020 to March 2023 were selected as the study subjects. Among them, 80 cases were cervical cancer, 107 cases were ovarian cancer, and 47 cases were endometrial cancer. Patients were divided into infection group (n=55) and non-infection group (n=179) based on whether they developed postoperative infection. A retrospective analysis was conducted to collect general clinical data and preoperative, surgical, and postoperative data from both groups, and comparative analyses were performed using independent-samples t test and chi-square test. Multivariate unconditional logistic regression analysis was used to analyze the independent influencing factors of postoperative infection in gynecological malignant tumor patients. There were no statistically significant differences in age, body mass index (BMI), or other general clinical data between two groups (P>0.05). The procedures followed in this study were approved by the Medical Ethics Committee of Chongqing General Hospital, Chongqing University (Approval No. KYS2022-012-01).

Results

①Among 234 patients with gynecological malignancies, 55 cases (23.5%) developed postoperative infections. Of the 55 infected patients, 60 strains of pathogens were cultured, with Escherichia coli having the highest incidence (32/55, 58.2%), followed by Pseudomonas aeruginosa (5/55, 9.1%), Enterobacter cloacae subsp. cloacae (4/55, 7.3%), and Klebsiella pneumoniae (4/55, 7.3%); 8 cases (14.5%) had dual bacterial infections. ②Univariate analysis revealed that there were statistically significant differences between two groups in 13 factors, including tumor type, American Society of Anesthesiologists (ASA) classification, operation duration, type of vaginal stump suture, use of drainage tube, drainage tube placement location, duration of indwelling drainage tube, number of urinary catheter insertions, duration of indwelling urinary catheter, ≥1 central venous catheterization, duration of central venous catheterization, types of postoperative use of antibiotics, and duration of antibiotic use (P<0.05). ③Multivariate unconditional logistic regression analysis showed that ASA classification Ⅲ+ Ⅳ and conventional suture for vaginal stump closure were independent risk factors for postoperative infection in patients with gynecological tumors (OR=3.266, 3.632, 95%CI: 1.361-7.645, 1.454-9.072, P=0.008, 0.006). Compared to postoperative cephalosporin antibiotics alone, postoperative use of non-cephalosporin antibiotics was an independent protective factor against postoperative infection in patients with gynecological malignancies (OR=0.298, 95%CI: 0.127-0.702, P=0.006). Compared to postoperative antibiotic use for 1-3 days, postoperative antibiotic use for 4-7 days and ≥8 days were also independent protective factors against postoperative infection in patients with gynecological malignancies (OR=0.103, 0.073, 95%CI: 0.031-0.340, 0.019-0.277, both P<0.001).

Conclusions

ASA classification, vaginal suture type, type of postoperative antibiotics used, and duration of postoperative antibiotic use are all independent influencing factors for postoperative infection in patients with gynecological malignancies. Postoperative nutritional intervention, intraoperative antimicrobial suture utilization, proper postoperative use of antibiotics and standardized postoperative antibiotic protocols may effectively reduce the risk of postoperative infection in patients with gynecological malignancies.

表1 感染组与非感染组妇科恶性肿瘤患者一般临床资料和术前相关资料比较
表2 感染组与非感染组妇科恶性肿瘤患者手术季节及手术相关资料比较[例数(%)]
组别 例数 手术季节 ASA分级 手术方式 术中使用抗菌药物
春季 夏季 秋季 冬节 Ⅰ+Ⅱ级 Ⅲ+Ⅳ级 开腹 腹腔镜
感染组 55 17(30.9) 16(29.1) 12(21.8) 10(5.6) 40(72.7) 15(27.3) 45(81.8) 10(18.2) 10(18.2)
非感染组 179 42(23.5) 59(33.0) 39(21.8) 39(21.8) 90(50.3) 89(49.7) 157(87.7) 22(12.3) 41(22.9)
χ2   1.38 8.59 1.24 0.55
P   0.710 0.003 0.266 0.458
组别 例数 手术时长 麻醉方式 术中出血量
<1 h ≥1~3 h ≥3 h 全身麻醉 其他 <200 mL 200~500 mL >500 mL
感染组 55 1(1.8) 5(9.1) 49(89.1) 55(100.0) 0(0) 32(58.2) 14(25.4) 9(16.4)
非感染组 179 19(10.6) 28(15.6) 132(73.7) 175(97.8) 4(2.2) 124(69.3) 39(21.8) 16(8.9)
χ2   6.37 a 3.20
P   0.041 0.340 0.202
组别 例数 术中输血治疗 手术时手术室内最多人数 阴道断端缝线种类 引流管留置位置
<8人 ≥8人 抗菌倒刺缝线 普通微荞线 盆腔 上腹部+盆腔
感染组 55 4(7.3) 54(98.2) 1(1.8) 45(81.8) 10(18.2) 8(14.6) 46(83.6) 1(1.8)
非感染组 179 10(5.6) 165(92.2) 14(7.8) 109(60.9) 70(39.1) 57(31.8) 120(67.0) 2(1.2)
χ2   0.02b 1.63b 8.19 a
P   0.892 0.202 0.004 0.042
组别 例数 使用引流管 引流管引出位置c 引流管留置时间
经腹部 经阴道 经腹部+阴道 未插管 1~3 d 4~7 d ≥8 d
感染组 55 47(85.5) 15(31.9) 31(66.0) 1(2.1) 8(14.5) 23(41.8) 19(34.6) 5(9.1)
非感染组 179 122(67.0) 43(35.2) 77(63.1) 2(1.6) 57(31.8) 39(21.9) 62(34.6) 21(11.7)
χ2   6.28 <0.01 11.17
P   0.012 0.953 0.011
表3 感染组与非感染组妇科恶性肿瘤患者术后相关资料比较[例数(%)]
表4 妇科恶性肿瘤患者术后感染影响因素的多因素非条件logistic回归分析结果
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