Surgical site infection (SSI) is a common hospital acquired infection that can increase medical burden and affect patient prognosis. Its occurrence involves multiple factors such as the patient’s basic condition and perioperative management quality. Although there is a basic consensus on SSI prevention in domestic and foreign guidelines, there are still differences between the recommendations in the guidelines and infection prevention and control management. To further promote the implementation of the guidelines, this article reviews the key preventive measures for SSI in domestic and foreign guidelines from preoperative skin preparation, intraoperative standardized operation, and postoperative incision management, and explores in depth the management strategies of SSI, in order to provide a reference for building a full process infection prevention and control system for SSI.
ObjectiveTo investigate the risk factors for surgical site infection (SSI) in patients after colorectal surgery, in order to provide a basis for regulation and implementation of preventive measures against SSI. MethodsFrom February to December 2012, a targeted surveillance on surgical site infection of "colon resection" and "rectum resection" surgery patients in the Department of Gastrointestinal Surgery was carried out. We analyzed the monitoring data, and explored the occurrence of postoperative SSI. At the same time, by case-control study, both single and multiple regression logistic analyses were performed on the 12 variables such as hypertension, diabetes mellitus duration during operation, America Society of Anesthesiologists score, grade of incision and so on to analyze the risk factors for SSI. ResultsAmong the 535 patients who underwent colorectal resections, 44 had SSI with an infection rate of 8.22%. Multiple logistic regression analysis showed that the length of hospital stay[OR=1.070,95%CI(1.033,1.109), P<0.001]and emergency surgery[OR=6.320,95%CI(1.932,20.669),P=0.002] were independent risk factors for SSI after colorectal resections. ConclusionThere are many risk factors for SSI after colorectal surgery. Through the implementation of targeted surveillance, we can find the main risk factors, which provides a basis for the regulation and implementation of intervention measures against SSI.
Objective To study the influence factors of surgical site infection (SSI) after hepatobiliary and pancreatic surgery. Methods Fifty patients suffered from SSI after hepatobiliary and pancreatic surgery who treated in Feng,nan District Hospital of Tangshan City from April 2010 and April 2015 were retrospectively collected as observation group, and 102 patients who didn’t suffered from SSI after hepatobiliary and pancreatic surgery at the same time period were retrospectively collected as control group. Then logistic regression was performed to explore the influence factors of SSI. Results Results of univariate analysis showed that, the ratios of patients older than 60 years, combined with cardiovascular and cerebrovascular diseases, had abdominal surgery history, had smoking history, suffered from the increased level of preoperative blood glucose , suffered from preoperative infection, operative time was longer than 180 minutes, American Societyof Anesthesiologists (ASA) score were 3-5, indwelled drainage tube, without dressing changes within 48 hours after surgery, and new injury severity score (NISS) were 2-3 were higher in observation group (P＜0.05). Results of logistic regression analysis showed that, patients had history of abdominal surgery (OR=1.92), without dressing changes within 48 hours after surgery (OR=2.07), and NISS were 2-3 (OR=2.27) had higher incidence of SSI (P＜0.05). Conclusion We should pay more attention on the patient with abdominal surgery history and with NISS of 2-3, and give dressing changes within 48 hours after surgery, to reduce the incidence of SSI.
Surgical site infections are the common healthcare-associated infections. This article introduced the guidelines on the prevention and control of surgical site infection in using from background, making progress, and recommendations, to give directions for clinicians and infection prevention and control professionals choosing appropriately for decreasing surgical site infection risks.
ObjectiveTo study the effects of PDCA cycle in the control of surgical site infection (SSI). MethodsA total of 1 761 surgeries between January 2012 and December 2013 were chosen to be monitored. PDCA cycle was used as a tool of total quality management evaluation to enhance the control of SSI. ResultsAfter 2 to 4 cycles of PDCA, the preventive medication rate of ClassⅠ operation incision was decreased significantly (χ2=309.513，P<0.001) and the postoperative incision infection rate did not change significantly (χ2=1.474，P=0.669). ConclusionUsing PDCA cycle can increase SSI management level and quality significantly and total quality management can be operated effectively.
ObjectiveTo establish a predictive model of surgical site infection (SSI) following colorectal surgery using machine learning.MethodsMachine learning algorithm was used to analyze and model with the colorectal data set from Duke Infection Control Outreach Network Surveillance Network. The whole data set was divided into two parts, with 80% as the training data set and 20% as the testing data set. In order to improve the training effect, the whole data set was divided into two parts again, with 90% as the training data set and 10% as the testing data set. The predictive result of the model was compared with the actual infected cases, and the sensitivity, specificity, positive predictive value, and negative predictive value of the model were calculated, the area under receiver operating characteristic (ROC) curve was used to evaluate the predictive capacity of the model, odds ratio (OR) was calculated to tested the validity of evaluation with a significance level of 0.05.ResultsThere were 7 285 patients in the whole data set registered from January 15th, 2015 to June 16th, 2016, among whom 234 were SSI cases, with an incidence of SSI of 3.21%. The predictive model was established by random forest algorithm, which was trained by 90% of the whole data set and tested by 10% of that. The sensitivity, specificity, positive predictive value, and negative predictive value of the model were 76.9%, 59.2%, 3.3%, and 99.3%, respectively, and the area under ROC curve was 0.767 [OR=4.84, 95% confidence interval (1.32, 17.74), P=0.02].ConclusionThe predictive model of SSI following colorectal surgery established by random forest algorithm has the potential to realize semi-automatic monitoring of SSIs, but more data training should be needed to improve the predictive capacity of the model before clinical application.
It has been certificated that hip and knee arthroplasty can improve quality of life and relieving pain and discomfort for ageing population and patients with muscloskeletal disorders. However, the outcomes of prosthetic joint infections (PJI) after arthroplasty usually are disastrous. The incidence of PJI is lower, but the number of this population is huge, which makes the strong impacts on quality of life for patients and healthcare economics. This review discusses the prevention strategies of PJI based on clinical epidemiology, diagnostic definition, pathogenesis, microbiology and risk factors, combined with some guidelines for prevention surgical site infections published recently.
ObjectiveTo systematically review the effect of perioperative supplemental oxygen administration on surgical site infection (SSI) in patients underwent abdominal surgery with general anesthesia. MethodsDatabases including PubMed, EMbase, The Cochrane Library (Issue 2,2015), CBM, VIP, WanFang Data and CNKI were searched to collect randomized controlled trials (RCTs) about perioperative supplemental oxygen administration versus normal FiO2 in patients underwent abdominal surgery with general anesthesia from inception to March, 2015. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, meta-analysis was conducted using RevMan 5.3 software. ResultsA total of 13 RCTs involving 3 532 patients were included. The results of meta-analysis indicated that: the incidence of SSI in the perioperative supplemental oxygen administration group was lower than that in the control group (OR=0.68, 95%CI 0.47 to 0.99, P=0.04). There were no significiant differences between both groups in incidence of atelectasis, incidence of infection requiring reoperation and 30-day mortality after surgery (all P values >0.05). ConclusionPerioperative supplemental oxygen administration could further decrease the risk of SSI in patients underwent abdominal surgery with general anesthesia, and does not increase the risk of other adverse events. Due to the limitations of quality of included studies, more high quality studies are needed to verify the above conclusions.
目的 分析外科手术部位感染率过低的原因，掌握手术部位感染诊断标准，减少医院感染漏报，及时发现医院感染流行趋势，采取控制措施，防止医院感染暴发。 方法 选择开展较多、手术部位一旦发生感染对患者安全威胁性较大的手术：包括胆囊切除或（和）胆管手术，结肠、直肠切除术，阑尾切除术，疝手术，乳房切除术，剖宫产，子宫切除术及附件切除术，全髋关节置换术，食道贲门手术，腰椎间盘摘除术，监测时间为2011年1月1日－6月30日及2012年1月1日－6月30日，共监测1 180例手术，对手术部位感染率进行对比分析。 结果 2011年半年监测手术部位感染率1.99%，调整感染率4.74%；比国内报道低6～9倍；通过分析原因，对医院感染诊断标准再培训、加强病原微生物送检等，2012年半年监测手术部位感染率4.68%，调整感染率32.12%；与2011年比较差异有统计学意义（χ2=141.841，P=0.000）。 结论 手术部位感染率偏低的原因是医生漏报所致；采取整改措施后，提高了手术部位感染的识别能力，减少了漏报，对及时发现医院感染暴发具有重要意义。