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.
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.
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。
Objective To compare preventive effect between continuous dissecting suture and traditional interrupted suture, silver ion dressing and traditional dressing, on the incisional surgical site infection (SSI) after ostomy for colorectal surgery, and to explore the influencing factors of SSI. Methods ① Sixty patients underwent the firstly elective open ostomy for colorectal surgery, who were treated in Department of Colorectal Tumor Surgery and Department of Colorectal&Hernial Minimally Invasive Surgery of Shengjing Hospital from Mar. 2015 to Jan. 2016, were collected to equivalently divided into continuous dissecting suture group and traditional interrupted suture group randomly. ② Twenty-seven patients with emergency open ostomy for colorectal surgery, who were treated in Department of Colorectal Tumor Surgery and Department of Colorectal&Hernial Minimally Invasive Surgery of Shengjing Hospital from Jan. 2009 to Jun. 2015, as well as 33 patients with elective open ostomy for colorectal surgery, who were treated in the same 2 Departments from Jul. 2015 to May. 2016, were collected to equivalently divided into silver ion dressing group and traditional dressing group. ③ Clinical data of 184 patients with elective open ostomy for colorectal surgery who were treated in Department of Colorectal Tumor Surgery and Department of Colorectal&Hernial Minimally Invasive Surgery of Shengjing Hospital from Jan. 2009 to May. 2016 were collected to analyze the influencing factors of SSI after elective open ostomy for colorectal surgery. Results ① There was no significant difference in the incidence of SSI between continuous dissecting suture group (3.3%, 1/30) and traditional interrupted suture group (16.7%, 5/30), P=0.085. ② The incidence of SSI in silver ion dressing group (6.7%, 2/30) was significantly lower than that of traditional dressing group (30.0%, 9/30), P=0.020. ③ There were 28 patients (15.2%) of the 184 elective patients and 11 patients (40.7%) of the 27 emergency patients suffered from SSI after open ostomy for colorectal surgery, and the incidence of SSI in elective surgery group was lower than that of emergency surgery group (P=0.001). ④ Results of logistic regression model showed that, patients with body mass index (BMI) <25 kg/m2 had lower risk of SSI than patients with BMI≥25 kg/m2(OR=0.383, P=0.023), patients received permanent colostomy had higher risk of SSI than patients received protective ileostomy (OR=4.370, P=0.004), patients underwent Mile’s surgery had higher risk of SSI than patients received distal anastomosis (OR=4.406, P=0.005). Conclusions The ostomy is a high risk factor for incisional SSI after elective open ostomy for colorectal surgery, especially for the obesity patients and patients who receive colostomy. The using of silver ion dressing play an important role in preventing the incisional SSI.
Objective To analyze the trend of standardized infection ratio (SIR) of surgical site infection (SSI) in small bowel surgery, objectively evaluate the effect of infection control, and provide evidence-based strategies for SSI prevention. Methods According to Centers for Disease Control and Prevention (CDC) / National Healthcare Safety Network (NHSN) surveillance definitions for specific types of infections and the monitoring methods of SSI events published by NHSN, the SSI and related risk factors of adult inpatients undergoing small bowel surgery in Yichang Central People’s Hospital between January 1, 2016 and December 31, 2022 were prospectively monitored. The inpatients undergoing small bowel surgery that meets the definition of International Classification of Diseases, 10th Revision Clinical Modifications/Procedure Coding System (ICD-10-CM/PCS), a multivariate binary logistic regression model was used to calculate the predicted infections in each year, the model included the risk factors for small bowel surgery in NHSN Complex Admission/Readmission (A/R) SSI Model with 7 years of surveillance data as the baseline. The SIR was calculated by dividing the number of observed SSI by the number of predicted SSI in each year. The Mid-P method was used to test the difference of SIR compared to the previous year, and the linear regression model was used to analyze the trend of SIR. Results A total of 2 436 patients were included, with 48 cases of deep incision infection and 49 cases of organ/cavity infection, and the overall incidence rate of infection was 4.0%. From 2016 to 2022, there were 151, 244, 222, 260, 320, 408, and 831 patients who underwent small bowel surgery, respectively. The Mid-P test showed that there was a significant difference in SIR from 2016 to 2019 (P<0.05), and there was an increase in 2018 compared with 2017. There was no significant difference in SIR compared to the previous year from 2019 to 2022 (P>0.05), and there was no significant difference in the trend of SIR of SSI (P=0.065). Conclusions From January 1, 2017, to December 31, 2022, advances have been made in SSI control practices of small bowel surgery in six consecutive years, except for 2018, but there was no annual downward trend from 2020 to 2022. The use of SIR provides a new approach for evaluating the quality of infection control.