Yuhuan Zeng, Yuanhu Lei, Min Li, Shu Yang, Siyi Liu, Mengfei Liu, Wei Liu, Can Peng, Jie Zhou, Changming Xiao, Xiangfang Tan, Qunfeng Zhang
{"title":"子宫切除术后患者手术部位感染的危险因素：系统回顾和荟萃分析。","authors":"Yuhuan Zeng, Yuanhu Lei, Min Li, Shu Yang, Siyi Liu, Mengfei Liu, Wei Liu, Can Peng, Jie Zhou, Changming Xiao, Xiangfang Tan, Qunfeng Zhang","doi":"10.1016/j.jhin.2025.05.018","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The authors conducted this meta-analysis to determine the risk of post-hysterectomy infection and to assess risk factors for post-hysterectomy surgical site infection (SSI).</p><p><strong>Methods: </strong>We systematically searched PubMed, Embase, and the Cochrane Library and manually searched reference lists from previous systematic reviews and meta-analyses. A random effects model was used to estimate the combined OR values. In addition, subgroup analyses were stratified on the basis of study baseline features, and sensitivity analyses were performed to explore potential sources of heterogeneity and stability of the results.</p><p><strong>Results: </strong>A total of 88,735 potential articles in the database search met the inclusion criteria. After the titles, abstracts, and full texts were reviewed, 23 articles were included in the final analysis. The 23 articles included 681,695 patients who underwent hysterectomy. High-quality (Class I) evidence showed that abdominal hysterectomy (AH) (OR, 4.17; 95% CI, 3.42-5.07), vaginal hysterectomy (VH) (OR, 1.22; 95% CI, 1.05-1.42), obesity (BMI≥30 kg/m<sup>2</sup>) (OR, 1.56; 95% CI, 1.40-1.75), gynecological cancer (OR, 1.49; 95% CI, 1.30-1.72), operative time≥160 min (OR, 1.58; 95% CI, 1.36-1.84), diabetes (OR, 1.57; 95% CI, 1.23-2.00), and smoking (OR, 1.41; 95% CI, 1.14-1.74) were associated with a greater risk of infection. The meta-analysis revealed no associations of age or intraoperative blood loss ≥500 ml with infection.</p><p><strong>Conclusion: </strong>This meta-analysis identified seven significant risk factors for post-hysterectomy infection, including AH, VH, obesity, gynecological cancer, operative time, diabetes, and smoking. These findings can help identify patients who have a higher risk of infection after hysterectomy so that appropriate measures can be implemented to improve the prognosis of these patients.</p><p><strong>Trial registration number: </strong>The review protocol was registered in PROSPERO. Unique Identifying Number (UIN) is \"CRD42024593870\".Hyperlink to the specific registration (must be publicly accessible and will be checked):\"https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=593870\".</p>","PeriodicalId":54806,"journal":{"name":"Journal of Hospital Infection","volume":" ","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk factors for surgical site infection in patients after hysterectomy: A systematic review and meta-analysis.\",\"authors\":\"Yuhuan Zeng, Yuanhu Lei, Min Li, Shu Yang, Siyi Liu, Mengfei Liu, Wei Liu, Can Peng, Jie Zhou, Changming Xiao, Xiangfang Tan, Qunfeng Zhang\",\"doi\":\"10.1016/j.jhin.2025.05.018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The authors conducted this meta-analysis to determine the risk of post-hysterectomy infection and to assess risk factors for post-hysterectomy surgical site infection (SSI).</p><p><strong>Methods: </strong>We systematically searched PubMed, Embase, and the Cochrane Library and manually searched reference lists from previous systematic reviews and meta-analyses. A random effects model was used to estimate the combined OR values. In addition, subgroup analyses were stratified on the basis of study baseline features, and sensitivity analyses were performed to explore potential sources of heterogeneity and stability of the results.</p><p><strong>Results: </strong>A total of 88,735 potential articles in the database search met the inclusion criteria. After the titles, abstracts, and full texts were reviewed, 23 articles were included in the final analysis. The 23 articles included 681,695 patients who underwent hysterectomy. High-quality (Class I) evidence showed that abdominal hysterectomy (AH) (OR, 4.17; 95% CI, 3.42-5.07), vaginal hysterectomy (VH) (OR, 1.22; 95% CI, 1.05-1.42), obesity (BMI≥30 kg/m<sup>2</sup>) (OR, 1.56; 95% CI, 1.40-1.75), gynecological cancer (OR, 1.49; 95% CI, 1.30-1.72), operative time≥160 min (OR, 1.58; 95% CI, 1.36-1.84), diabetes (OR, 1.57; 95% CI, 1.23-2.00), and smoking (OR, 1.41; 95% CI, 1.14-1.74) were associated with a greater risk of infection. The meta-analysis revealed no associations of age or intraoperative blood loss ≥500 ml with infection.</p><p><strong>Conclusion: </strong>This meta-analysis identified seven significant risk factors for post-hysterectomy infection, including AH, VH, obesity, gynecological cancer, operative time, diabetes, and smoking. These findings can help identify patients who have a higher risk of infection after hysterectomy so that appropriate measures can be implemented to improve the prognosis of these patients.</p><p><strong>Trial registration number: </strong>The review protocol was registered in PROSPERO. 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Risk factors for surgical site infection in patients after hysterectomy: A systematic review and meta-analysis.
Introduction: The authors conducted this meta-analysis to determine the risk of post-hysterectomy infection and to assess risk factors for post-hysterectomy surgical site infection (SSI).
Methods: We systematically searched PubMed, Embase, and the Cochrane Library and manually searched reference lists from previous systematic reviews and meta-analyses. A random effects model was used to estimate the combined OR values. In addition, subgroup analyses were stratified on the basis of study baseline features, and sensitivity analyses were performed to explore potential sources of heterogeneity and stability of the results.
Results: A total of 88,735 potential articles in the database search met the inclusion criteria. After the titles, abstracts, and full texts were reviewed, 23 articles were included in the final analysis. The 23 articles included 681,695 patients who underwent hysterectomy. High-quality (Class I) evidence showed that abdominal hysterectomy (AH) (OR, 4.17; 95% CI, 3.42-5.07), vaginal hysterectomy (VH) (OR, 1.22; 95% CI, 1.05-1.42), obesity (BMI≥30 kg/m2) (OR, 1.56; 95% CI, 1.40-1.75), gynecological cancer (OR, 1.49; 95% CI, 1.30-1.72), operative time≥160 min (OR, 1.58; 95% CI, 1.36-1.84), diabetes (OR, 1.57; 95% CI, 1.23-2.00), and smoking (OR, 1.41; 95% CI, 1.14-1.74) were associated with a greater risk of infection. The meta-analysis revealed no associations of age or intraoperative blood loss ≥500 ml with infection.
Conclusion: This meta-analysis identified seven significant risk factors for post-hysterectomy infection, including AH, VH, obesity, gynecological cancer, operative time, diabetes, and smoking. These findings can help identify patients who have a higher risk of infection after hysterectomy so that appropriate measures can be implemented to improve the prognosis of these patients.
Trial registration number: The review protocol was registered in PROSPERO. Unique Identifying Number (UIN) is "CRD42024593870".Hyperlink to the specific registration (must be publicly accessible and will be checked):"https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=593870".
期刊介绍：
The Journal of Hospital Infection is the editorially independent scientific publication of the Healthcare Infection Society. The aim of the Journal is to publish high quality research and information relating to infection prevention and control that is relevant to an international audience.
The Journal welcomes submissions that relate to all aspects of infection prevention and control in healthcare settings. This includes submissions that:
provide new insight into the epidemiology, surveillance, or prevention and control of healthcare-associated infections and antimicrobial resistance in healthcare settings;
provide new insight into cleaning, disinfection and decontamination;
provide new insight into the design of healthcare premises;
describe novel aspects of outbreaks of infection;
throw light on techniques for effective antimicrobial stewardship;
describe novel techniques (laboratory-based or point of care) for the detection of infection or antimicrobial resistance in the healthcare setting, particularly if these can be used to facilitate infection prevention and control;
improve understanding of the motivations of safe healthcare behaviour, or describe techniques for achieving behavioural and cultural change;
improve understanding of the use of IT systems in infection surveillance and prevention and control.
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