目的探讨碘伏原液浸泡对于预防阑尾Ⅲ类手术切口手术部位感染（SSI）的疗效。 方法回顾性分析笔者所在医院2012年5月至2013年5月期间施行阑尾切除术者中切口类型为Ⅲ类的92例患者的临床资料，比较以碘伏原液浸泡切口（浸泡组）和冲洗切口（常规组）处理后患者的切口愈合情况。 结果术后常规组57例患者中，有43例切口愈合等级为甲级，5例为乙级，9例为丙级，SSI发生率为24.56%（14/57）。浸泡组35例患者的切口愈合均良好，均为甲级愈合，SSI发生率为0，低于常规组（P<0.05）。 结论采用碘伏原液浸泡切口5 min能有效预防阑尾炎Ⅲ类切口SSI的发生，值得临床推广应用。
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.
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.
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.
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.
ObjectiveTo probe into the risk factors for postoperative surgical site infections in the Department of Cardiothoracic Surgery, and put forward correspondent preventive and treatment measures. MethodA total of 360 patients who underwent operations between February 2011 and March 2013 were the study subjects. The age, sex, basic diseases, surgical time, hospitalization time, surgical implants, and incision category were recorded carefully, and were analyzed for their correlation with surgical site infections. ResultsThere were 27 cases of surgical site infections with an infection rate of 7.50%. Age, hospitalization time, surgical time, basic diseases, surgical implants and incision category were risk factors for surgical site infections (P<0.05). ConclusionsBased on the analysis of risk factors for surgical site infections, we can help patients recover as early as possible by taking preventive measures beforehand.
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.
Objective To review the adverse event of hysterectomy caused by postoperative infection after cesarean section, formulate prevention and control strategies in combination with risk assessment tools, promote the standardization of perioperative management, reduce the medical burden on pregnant women, and improve patient satisfaction. Methods The two adverse events of hysterectomy caused by postoperative infection after cesarean section that occurred in the obstetrics ward between October and November 2024 were selected as the research objects. A root cause analysis and risk assessment team composed of personnel from multiple departments was established. Through interviews, observations, and data review, the potential failure modes and causes were sorted out. The risk priority number (RPN) was calculated to determine the high-risk factors. Improvement strategies were formulated and implemented. After two-month implementation, the RPN scores and the compliance of various measures before and after the implementation were compared. Results Before the improvement, the total RPN of the healthcare failure mode and effects analysis was 367.8. When rechecked in January 2025, the total RPN after the improvement dropped to 105.7, and no serious adverse events occurred again. The compliance and passing rates of various operations significantly increased: the intervention rate for maternal malnutrition rose from 17.5% to 48.6%, the passing rate of appropriate timing for prophylactic use of antimicrobial agents before surgery increased from 50.5% to 81.0%, the compliance rate of scrubbing the vagina with disinfectant before surgery increased from 15.0% to 60.0%, the implementation rate of standardized skin disinfection during surgery rose from 66.7% to 95.2%, the passing rate of aseptic techniques and hand hygiene operations during surgery increased from 75.0% to 95.2%, and the timely submission rate of specimens from infected patients increased from 29.4% to 47.6%, and all these differences were statistically significant (P<0.05). Conclusion The combination of healthcare failure mode and effect analysis and root cause analysis can effectively improve adverse events during the perioperative period, optimize the perioperative management of cesarean section, and reduce the risk of infection.
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.
ObjectiveTo evaluate existing predictive models for surgical site infection (SSI) following colorectal cancer (CRC) surgery, aiming to provide a scientific basis for refining risk prediction models and developing clinically practical and widely applicable screening tools. MethodA comprehensive review of existing literature on predictive models for SSI following CRC surgery, both domestically and internationally, were conducted. ResultsThe determination of SSI following CRC surgery primarily relied on the Centers for Disease Control and Prevention standard of USA, which presented issues of consistency and accuracy. Various predictive models had been developed, including traditional statistical models and machine learning models, with 0.991 of an area under the operating characteristic curve of predictive model. However, most studies were based on retrospective and single-center data, which limited their applicability and accuracy. ConclusionsAlthough existing models provide strong support for predicting SSI following CRC surgery, there is a need for multi-center, prospective studies to enhance the generalizability and accuracy of these models. Additionally, future research should focus on improving model interpretability to better apply them in clinical practice, providing personalized risk assessments and intervention strategies for patients.