Y. Lei , Y. Zeng , Z. Li , Z. Xiao, G. Tang, Y. Liu, C. Xiao, M. Luo, H. Yan, H. Chen, X. Wang
{"title":"膝关节镜手术患者感染的风险因素:系统回顾和元分析。","authors":"Y. Lei , Y. Zeng , Z. Li , Z. Xiao, G. Tang, Y. Liu, C. Xiao, M. Luo, H. Yan, H. Chen, X. Wang","doi":"10.1016/j.jhin.2024.06.013","DOIUrl":null,"url":null,"abstract":"<div><div>The primary aim of this study was to determine the risk of infection after knee arthroscopy and to evaluate the risk factors for surgical site infection (SSI). The PubMed/Medline, Embase and Cochrane Library databases were systematically searched, as were the reference lists of previous systematic reviews and meta-analysis manual studies. A random-effects model was used to calculate the estimated pooled odds ratio (OR). A total of 38,321 potential articles met the initial inclusion criteria. After a review of the titles, abstracts and full texts, the remaining 41 articles were included in the final analysis. We identified 9,089,578 patients who underwent knee arthroscopy in 41 articles. High-quality (class I) evidence showed that autografts (cruciate ligament reconstruction) (OR, 2.66;95% CI, 1.84–3.86) or high procedure complexity (OR, 2.02; 95% CI, 1.69–2.43) had a higher risk of infection, while medium-quality (class II or class III) evidence showed that obesity (body mass index ≥30 kg/m<sup>2</sup>) (OR, 1.27; 95% CI, 1.08–1.49) or male (OR, 1.52; 95% CI, 1.32–1.75) or diabetes (OR, 1.71; 95% CI, 1.36–2.14) or tobacco use (OR, 1.65; 95% CI, 1.38–1.97) or preoperative steroid use (OR, 3.41; 95% CI, 2.10–5.54) had a higher risk of infection. The meta-analysis showed that there was no association between age or antibiotic prophylaxis and infection incidence. The meta-analysis showed that significant risk factors for infection after knee arthroscopy included obesity, male sex, diabetes, tobacco use, high procedure complexity, graft type, and preoperative steroid use.</div></div>","PeriodicalId":54806,"journal":{"name":"Journal of Hospital Infection","volume":"155 ","pages":"Pages 170-184"},"PeriodicalIF":3.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk factors for infection in patients undergoing knee arthroscopy: a systematic review and meta-analysis\",\"authors\":\"Y. Lei , Y. Zeng , Z. Li , Z. Xiao, G. Tang, Y. Liu, C. Xiao, M. Luo, H. Yan, H. Chen, X. Wang\",\"doi\":\"10.1016/j.jhin.2024.06.013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The primary aim of this study was to determine the risk of infection after knee arthroscopy and to evaluate the risk factors for surgical site infection (SSI). The PubMed/Medline, Embase and Cochrane Library databases were systematically searched, as were the reference lists of previous systematic reviews and meta-analysis manual studies. A random-effects model was used to calculate the estimated pooled odds ratio (OR). A total of 38,321 potential articles met the initial inclusion criteria. After a review of the titles, abstracts and full texts, the remaining 41 articles were included in the final analysis. We identified 9,089,578 patients who underwent knee arthroscopy in 41 articles. High-quality (class I) evidence showed that autografts (cruciate ligament reconstruction) (OR, 2.66;95% CI, 1.84–3.86) or high procedure complexity (OR, 2.02; 95% CI, 1.69–2.43) had a higher risk of infection, while medium-quality (class II or class III) evidence showed that obesity (body mass index ≥30 kg/m<sup>2</sup>) (OR, 1.27; 95% CI, 1.08–1.49) or male (OR, 1.52; 95% CI, 1.32–1.75) or diabetes (OR, 1.71; 95% CI, 1.36–2.14) or tobacco use (OR, 1.65; 95% CI, 1.38–1.97) or preoperative steroid use (OR, 3.41; 95% CI, 2.10–5.54) had a higher risk of infection. The meta-analysis showed that there was no association between age or antibiotic prophylaxis and infection incidence. 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Risk factors for infection in patients undergoing knee arthroscopy: a systematic review and meta-analysis
The primary aim of this study was to determine the risk of infection after knee arthroscopy and to evaluate the risk factors for surgical site infection (SSI). The PubMed/Medline, Embase and Cochrane Library databases were systematically searched, as were the reference lists of previous systematic reviews and meta-analysis manual studies. A random-effects model was used to calculate the estimated pooled odds ratio (OR). A total of 38,321 potential articles met the initial inclusion criteria. After a review of the titles, abstracts and full texts, the remaining 41 articles were included in the final analysis. We identified 9,089,578 patients who underwent knee arthroscopy in 41 articles. High-quality (class I) evidence showed that autografts (cruciate ligament reconstruction) (OR, 2.66;95% CI, 1.84–3.86) or high procedure complexity (OR, 2.02; 95% CI, 1.69–2.43) had a higher risk of infection, while medium-quality (class II or class III) evidence showed that obesity (body mass index ≥30 kg/m2) (OR, 1.27; 95% CI, 1.08–1.49) or male (OR, 1.52; 95% CI, 1.32–1.75) or diabetes (OR, 1.71; 95% CI, 1.36–2.14) or tobacco use (OR, 1.65; 95% CI, 1.38–1.97) or preoperative steroid use (OR, 3.41; 95% CI, 2.10–5.54) had a higher risk of infection. The meta-analysis showed that there was no association between age or antibiotic prophylaxis and infection incidence. The meta-analysis showed that significant risk factors for infection after knee arthroscopy included obesity, male sex, diabetes, tobacco use, high procedure complexity, graft type, and preoperative steroid use.
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.