目的 了解医院外科患者手术部位感染的危险因素，以采取预防与控制干预措施，降低手术部位感染率。 方法 以回顾性调查方法对2011年1月－6月外科手术患者统计手术部位感染率；以前瞻性调查的方法对2012年1月－6月外科手术部位患者进行目标性监测。 结果 2011年1月－6月手术部位感染率为1.01%，2012年1月－6月手术部位感染率为0.63%，两者比较，差异有统计学意义（P＜0.05）。患者年龄、手术类型、手术时间、手术性质是手术部位感染的高危因素。 结论 实施目标性监测，加强危险因素管理，采取干预措施，能有效降低外科手术部位感染率。
ObjectiveTo analyze targeted surveillance results of nosocomial infection in Neurosurgical Intensive Care Unit (ICU) and investigate the characteristics of nosocomial infection, in order to provide reference for constituting the intervention measures. MethodsWe monitored the incidence of nosocomial infection, the application and catheter-related infection of invasive operation, and the situation of multiple resistant bacteria screening and drug resistance characteristics of each patient who stayed more than two days in neurosurgical ICU during January to December 2013. ResultsThere were a total of 1 178 patients, and the total ICU stay was 4 144 days. The nosocomial infection rate was 4.92%, and the day incidence of nosocomial infection was 13.75‰. The nosocomial infection rate was significantly higher in January and between July and December compared with other months. Ventilator utilization rate was 9.75%; ventilator-associated pneumonia incidence density was 14.85 per 1 000 catheter-days; central line utilization rate was 28.40%; central line-associated bloodstream infection incidence density was 0.85 per 1 000 catheter-days; urinary catheter utilization rate was 97.90%; and the incidence density of catheter-associated urinary tract infection was 0.25 per 1 000 catheter-days. ConclusionThe nosocomial infection rate has an obvious seasonal characteristic in neurosurgical intensive care unit, so it is necessary to make sure that the hospital infection control full-time and part-time staff should be on alert, issue timely risk warning, and strengthen the risk management of hospital infection.
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.
ObjectiveTo investigate the incidence of nosocomial infection and device-related infection in the Intensive Care Unit (ICU), analyze its related risk factors, and search for effective measures to prevent and control nosocomial infection. MethodsBy prospective objective monitoring method, we surveyed 294 patients hospitalized in the ICU for at least 48 hours between January and December 2012. The doctor in charge filled in relevant information of the patients to complete the questionnaires, and hospital infection management staff was responsible for tracking, judging, and statistical analysis. ResultsIn the 294 patients, 61 had hospital infections, and there were 78 cases. The hospital infection rate was 20.75%, and the case infection rate was 26.53%. The day incidence of patient infection was 16.01‰, and day infection rate was 20.47‰ for infection cases. After average severity of illness score adjustment, the day case infection rate was 7.48%, ventilator associated pneumonia (VAP) infection rate was 27.27‰, central venous catheter associated bloodstream infection rate was 6.58‰, and catheter associated urinary tract infection rate was 3.15‰. ConclusionICU has a high risk of hospital infection. In the device related infections, VAP infection rate is the highest. Continuous improvement can be achieved through monitoring and discovering problems, strengthening hospital infection management training for the medical personnel of the hospital, close communication between doctors and hospital infection management staff, and strict implementation of hospital infection management measures.
ObjectiveTo analyze and discuss the importance of non-catheter-related hospital infection in intensive care unit (ICU). MethodA prospective target monitoring of all the patients in the general ICU was carried out from January 2011 to December 2013. The hospital infection cases grouped by infection types were analyzed with SPSS 17.0. ResultsA total of 5 364 patients were monitored, 455 of whom had hospital infections totaled 616 times. The hospital infection rate was 11.5%. The amount and constituent ratio of the catheter-related infections showed a declining trend year by year, while the non-catheter-related infections revealed an escalating trend year by year. In these 455 patients, the mixed infection group had the longest hospital stay, followed by the catheter-related infection group and the non-catheter-related infection group (P<0.05). The catheter-related infection group had higher crude mortality rate than both of the mixed infection group and the non-catheter-related infection group (P<0.017). ConclusionsNon-catheter-related infections which get higher and higher proportion in ICU hospital infections should be paid more attention to, while catheter-related infections which could prolong hospitalization and increase the risk of death in ICU patients, remain the focus of the target monitoring of hospital infection in ICU.
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 carry out targeted surveillance on ventilator-associated pneumonia (VAP) newly defined by the Centers for Disease Control and Prevention of the United States in 2013, and to understand its applicability and influence on the prognosis, and infection rate and risk factors of the disease. MethodsTargeted surveillance was carried out on all patients receiving mechanical ventilation in the general ICU of our hospital between January and December 2014. VAP infection rate was studied, and patients were divided into groups based on the development of the disease. SPSS 18.0 was used for statistical analysis of the prognostic indicators. ResultsA total of 885 patients received mechanical ventilation and were monitored, 31 of whom had VAP. The VAP case infection rate was 3.5% and its daily infection rate was 3.9‰. The results of multiple factors regression analysis showed that age (OR=1.025, P=0.025) and combining other types of hospital infection (OR=4.874, P<0.001) were independent risk factors for the development of VAP. VAP was the independent risk factor for both length of stay in the ICU and length of mechanical ventilation (P<0.001), but it was not the independent risk factor for mortality in the ICU (P=0.515). ConclusionThe applicability of the newly defined ventilator-associated pneumonia may be under restrictions in developing countries. It may influence the outcomes of patients by prolonging the length of stay in ICU and the length of mechanical ventilation.
Objective To investigate nosocomial infection rate in Intensive Care Unit (ICU), its risk factors and the pathogenic characteristics of multidrug-resistant bacteria through targeted monitoring, in order to provide scientific references for reducing nosocomial infection. Methods Targeted monitoring was performed on the patients who were admitted to the comprehensive ICU between July 2014 and June 2016. Results Nosocomial infection occurred in 312 of the 4 991 patients. The case infection rate was 6.25%, and case infection rate per day was 19.03‰. After the adjustment, the case infection rate per day was 6.77‰. The ventilator-associated pneumonia infection accounted for 30.78‰; catheter-related bloodstream infection occupied 0.30‰; and catheter-associated urinary tract infection accounted for 0.27‰. The respiratory tract was the major part of nosocomial infection, accounting for 90.38%. Gram-negative bacilli were the major bacteria accounting for 92.74%, in whichAcinetobacter baumannii accounted for 36.29%. Conclusions Through targeted monitoring to keep abreast of the current situation of nosocomial infection in ICU, management and interventions can be targeted. It is an important way to reduce nosocomial infection in ICU.