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 study the present situation of hospital orthopedic surgery incision infection, in order to provide the basis for further intervention. MethodsProspective investigation combined with retrospective investigation method was adopted in our study to perform a statistical analysis on orthopedic surgery incision infections among 545 patients in our hospital between January and December 2012. ResultsDuring the one year of follow-up, there were 10 cases of surgical incision infection among all the 545 patients, with an infection rate of 1.83%. The infection rate of class-Ⅰ incision was 0.46%, of class-Ⅱ was 5.13%, and of class-Ⅲ/Ⅳ was 12.12%, and the Cochrane-Armitage trend chi-square test showed significant trend among them (χ2=28.273, P<0.001). Based on different operation risk index, patients with index 1, 2, 3 had a surgical site infection rate of 0.82%, 2.60%, and 18.75%, respectively. The higher the index, the higher the surgery incision infection rate, and the trend was statistically significant (χ2=12.916, P<0.001). The infection rate was 1.43% for elective surgical procedures, and was 3.15% for emergency surgery, but there was no significant difference (P>0.05). ConclusionOrthopedic surgery has a high-risk surgical site infection rate, and incision classification and surgical risk index have statistical correlation with the incidence of hospital infection. In order to ensure the security of patients and reduce medical disputes, we should pay close attention to orthopedic surgery infection.
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.
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.
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 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.
ObjectiveTo analyze the relevant factors for surgical site infection. MethodsA total of 677 cases of surgery in one hospital from July 1 to December 31 in 2012 were surveyed (not including implant and cardiac intervention surgeries), which were divided into different groups according to the preoperative incision contamination level, and the postoperative healing of incisions were observed closely. After the patients were discharged, we investigated the situation of incisions by phone or periodic review, and forms were filled in on schedule. ResultsBy follow-up evaluation of the 677 cases, the incisions in 12 cases were infected and the infection rate was 1.77%. Polluted and infected (14.28%, 30.76%) incisions caused more infection than the clean and clean-polluted incisions (0.00%, 0.59%). The patients who stayed in hospital for 4 or more than 4 days before surgeries (infection rate was 4.55%) took more risk of infection than the patients whose preoperative time in hospital were 2-3 days (infection rate was 0.60%) and 1 or shorter than 1 day (0.68%). Perioperative use of antibiotics for longer than 72 hours will increase the risk of incision infection than those within 48 hours (7.69%, 0.00%; P=0.002). ConclusionSurgical site infection is related to the incision type. Shortening the preoperative in-hospital time will reduce the risk of infection. Long time use of antibiotics in perioperative period cannot prevent the postoperative infection effectively, but may increase the risk of infection.
Objective To systematically review the efficacy of chlorhexidine versus povidone iodine in the prevention of wound infections after surgeries by meta-analysis. Methods All randomized controlled trials comparing these two disinfectants were searched from databases of PubMed, The Cochrane Library (Issue 3, 2016), EMbase, WanFang Data, VIP and CNKI from inception to August 2016. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, meta-analysis was performed using RevMan 5.2 software. Results A total of 14 randomized controlled trials were included. The results of meta-analysis showed that the chlorhexidine group had significantly lower rates in any surgical site infection (RR=0.71, 95% CI 0.58 to 0.88,P=0.001) and superficial incisional infection (RR=0.66, 95% CI 0.48 to 0.91,P=0.01) when compared with povidone iodine group. However, there were no significant differences in deep incisional infection (RR=0.51, 95% CI 0.23 to 1.11,P=0.09) and organ-space infection (RR=0.97, 95% CI 0.53 to 1.76,P=0.92) between the two groups. Furthermore, subgroup analysis revealed differences in any surgical site infection and superficial incisional infection could only be found in surgeries possibly contaminated. Conclusion Chlorhexidine may be superior in decreasing the incidence of infection in probably contaminated surgery.