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Introduction: Central venous catheters (CVCs) can lead to central line-related bloodstream infections (CRBSIs). A six-item bundle was introduced in 2009 to prevent CRBSI in Dutch hospitals., Aim: This study aimed to determine the impact of an intervention bundle on CRBSI risk., Methods: Data were obtained from hospitals participating in the national CRBSI surveillance between 2009 and 2019. Bundle compliance was evaluated as a total ('overall') bundle (all six items) and as an insertion bundle (four items) and a maintenance bundle (two daily checks). We estimated the impact of the overall and partial bundles, using multi-level Cox regression., Findings: Of the 66 hospitals in the CRBSI surveillance 56 (84.8%) recorded annual bundle (non)compliance for >80% of the CVCs, for one to nine years. In these 56 hospitals CRBSI incidence decreased from 4.0 to 1.6/1000 CVC days. In the intensive care units (ICUs), compliance was not associated with CRBSI risk (hazard ratio (HR) for the overall, insertion and maintenance bundle were 1.14 (95% confidence interval 0.80-1.64), 1.05 (0.56-1.95) and 1.13 (0.79-1.62)), respectively. Outside the ICU the non-significant association of compliance with the overall bundle (HR 1.36 (0.96-1.93)) resulted from opposite effects of the insertion bundle, associated with decreased risk (HR 0.50 (0.30-0.85)) and the maintenance bundle, associated with increased risk (HR 1.68 (1.19-2.36))., Conclusion: Following a national programme to introduce an intervention bundle, CRBSI incidence decreased significantly. In the ICU, bundle compliance was not associated with CRBSI risk, but outside the ICU improved compliance with the insertion bundle resulted in a decreased CRBSI risk., (Copyright © 2022 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.)

Introduction: Healthcare-associated infections (HAI) are among the most common adverse events of medical care. Surveillance of HAI is a key component of successful infection prevention programmes. Conventional surveillance - manual chart review - is resource intensive and limited by concerns regarding interrater reliability. This has led to the development and use of automated surveillance (AS). Many AS systems are the product of in-house development efforts and heterogeneous in their design and methods. With this roadmap, the PRAISE network aims to provide guidance on how to move AS from the research setting to large-scale implementation, and how to ensure the delivery of surveillance data that are uniform and useful for improvement of quality of care., Methods: The PRAISE network brings together 30 experts from ten European countries. This roadmap is based on the outcome of two workshops, teleconference meetings and review by an independent panel of international experts., Results: This roadmap focuses on the surveillance of HAI within networks of healthcare facilities for the purpose of comparison, prevention and quality improvement initiatives. The roadmap does the following: discusses the selection of surveillance targets, different organizational and methodologic approaches and their advantages, disadvantages and risks; defines key performance requirements of AS systems and suggestions for their design; provides guidance on successful implementation and maintenance; and discusses areas of future research and training requirements for the infection prevention and related disciplines. The roadmap is supported by accompanying documents regarding the governance and information technology aspects of implementing AS., Conclusions: Large-scale implementation of AS requires guidance and coordination within and across surveillance networks. Transitions to large-scale AS entail redevelopment of surveillance methods and their interpretation, intensive dialogue with stakeholders and the investment of considerable resources. This roadmap can be used to guide future steps towards implementation, including designing solutions for AS and practical guidance checklists., (Copyright © 2021. Published by Elsevier Ltd.)

Objective: Surveillance of healthcare-associated infections is often performed by manual chart review. Semiautomated surveillance may substantially reduce workload and subjective data interpretation. We assessed the validity of a previously published algorithm for semiautomated surveillance of deep surgical site infections (SSIs) after total hip arthroplasty (THA) or total knee arthroplasty (TKA) in Dutch hospitals. In addition, we explored the ability of a hospital to automatically select the patients under surveillance., Design: Multicenter retrospective cohort study., Methods: Hospitals identified patients who underwent THA or TKA either by procedure codes or by conventional surveillance. For these patients, routine care data regarding microbiology results, antibiotics, (re)admissions, and surgeries within 120 days following THA or TKA were extracted from electronic health records. Patient selection was compared with conventional surveillance and patients were retrospectively classified as low or high probability of having developed deep SSI by the algorithm. Sensitivity, positive predictive value (PPV), and workload reduction were calculated and compared to conventional surveillance., Results: Of 9,554 extracted THA and TKA surgeries, 1,175 (12.3%) were revisions, and 8,378 primary surgeries remained for algorithm validation (95 deep SSIs, 1.1%). Sensitivity ranged from 93.6% to 100% and PPV ranged from 55.8% to 72.2%. Workload was reduced by ≥98%. Also, 2 SSIs (2.1%) missed by the algorithm were explained by flaws in data selection., Conclusions: This algorithm reliably detects patients with a high probability of having developed deep SSI after THA or TKA in Dutch hospitals. Our results provide essential information for successful implementation of semiautomated surveillance for deep SSIs after THA or TKA.

Background: Prevalence of healthcare-associated infections (HCAIs) and antimicrobial use in hospitals in the Netherlands has been measured using voluntary biannual national point-prevalence surveys (PPSs)., Aim: To describe trends in the prevalence of patients with HCAI, risk factors, and antimicrobial use in 2007-2016., Methods: In the PPS, patient characteristics, use of medical devices and antimicrobials, and presence of HCAI on the survey day are reported for all hospitalized patients, excluding patients in the day-care unit and psychiatric wards. Analyses were performed using linear and (multivariate) logistic regression, accounting for clustering of patients within hospitals., Findings: PPS data were reported for 171,116 patients. Annual prevalence of patients with HCAI with onset during hospitalization decreased from 6.1% in 2007 to 3.6% in 2016. The adjusted odds ratio (OR) for trend was 0.97 (95% confidence interval: 0.96-0.98). Most prominent trends were seen for surgical site infections (1.6%-0.8%; OR: 0.91 (0.90-0.93)) and urinary tract infections (2.1%-0.6%; OR: 0.85 (0.83-0.87)). From 2014 on, HCAIs at admission were also registered with a stable prevalence of approximately 1.5%. The mean length of stay decreased from 10 to 7 days. The percentage of patients treated with antibiotics increased from 31% to 36% (OR: 1.03 (1.02-1.03))., Conclusion: Repeated PPS data from 2007 to 2016 show a decrease in the prevalence of patients with HCAI with onset during hospitalization, and a stable prevalence of patients with HCAI at admission. The adjusted OR of 0.97 for HCAI during hospitalization indicates a true reduction in prevalence of approximately 3% per year., (Copyright © 2019 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.)

Background: In 2011-2012, the European Centre for Disease Prevention and Control (ECDC) initiated the first European point prevalence survey (PPS) of healthcare-associated infections (HCAIs) in addition to targeted surveillance of the incidence of specific types of HCAI such as surgical site infections (SSIs)., Aim: To investigate whether national and multi-country SSI incidence can be estimated from ECDC PPS data., Methods: In all, 159 hospitals were included from 15 countries that participated in both ECDC surveillance modules, aligning surgical procedures in the incidence surveillance to corresponding specialties from the PPS. National daily prevalence of SSIs was simulated from the incidence surveillance data, the Rhame and Sudderth (R&S) formula was used to estimate national and multi-country SSI incidence from the PPS data, and national incidence per specialty was predicted using a linear model including data from the PPS., Findings: The simulation of daily SSI prevalence from incidence surveillance of SSIs showed that prevalence fluctuated randomly depending on the day of measurement. The correlation between the national aggregated incidence estimated with R&S formula and observed SSI incidence was low (correlation coefficient = 0.24), but specialty-specific incidence results were more reliable, especially when the number of included patients was large (correlation coefficients ranging from 0.40 to 1.00). The linear prediction model including PPS data had low proportion of explained variance (0.40)., Conclusion: Due to a lack of accuracy, use of PPS data to estimate SSI incidence is recommended only in situations where incidence surveillance of SSIs is not performed, and where sufficiently large samples of PPS data are available., (Crown Copyright © 2019. Published by Elsevier Ltd. All rights reserved.)

Background: Surgical site infections (SSIs) are associated with morbidity, mortality and costs., Aim: To identify the burden of (deep) SSIs in costs and disability-adjusted life years (DALYs) following colectomy, mastectomy and total hip arthroplasty (THA) in the Netherlands., Methods: A retrospective cost-analysis was performed using 2011 data from the national SSI surveillance network PREZIES. Sixty-two patients with an SSI (exposed) were matched to 122 patients without an SSI (unexposed, same type of surgery). Patient records were studied until 1 year after SSI diagnosis. Unexposed patients were followed for the same duration. Costs were calculated from the hospital perspective (2016 price level), and cost differences were tested using linear regression analyses. Disease burden was estimated using the Burden of Communicable Disease in Europe Toolkit of the European Centre for Disease Prevention and Control. The SSI model was specified by type of surgery, with country- and surgery-specific parameters where possible., Findings: Attributable costs per SSI were €21,569 (THA), €14,084 (colectomy) and €1881 (mastectomy), mainly caused by prolonged length of hospital stay. National hospital costs were estimated at €10 million, €29 million and €0.6 million, respectively. National disease burden was greatest for SSIs following colectomy (3200 DALYs/year, 150 DALYs/100 SSIs), while individual disease burden was highest following THA (1200 DALYs/year, 250 DALYs/100 SSIs). For mastectomy, these DALYs were <1. The total cost of DALYs for the three types of surgery exceeded €88 million., Conclusion: Depending on the type of surgery, SSIs cause a significant burden, both economically and in loss of years in full health. This underlines the importance of appropriate infection prevention and control measures., (Copyright © 2019 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.)

Objective: Obesity is considered a risk factor for surgical site infection (SSI). We quantified impact of body mass index (BMI) on the risk of SSI for a variety of surgical procedures., Methods: We included 2012-2017 data from the Dutch national surveillance network PREZIES on a selection of frequently performed surgical procedures across different specialties. Patients were stratified into 5 categories: underweight (BMI, &lt;18.5 kg/m2), normal weight (BMI, 18.5-25), overweight (BMI, 25-30), obese (BMI, 30-40) and morbidly obese (BMI, ≥40). Multilevel log binomial regression analyses were performed to assess the effect of BMI category on the risk of superficial, deep (including organ-space) and total SSI., Results: Of the 387,919 included patients (ranging from 2,616 for laparoscopic appendectomy to 119,834 for total hip prosthesis), 3,676 (1%) were underweight, 116,778 (30%) had normal weight, 154,339 (40%) were overweight, 104,288 (27%) had obesity, and 8,838 (2%) were morbidly obese. A trend of increasing risk of SSI when BMI increased from normal to morbidly obese was observed for almost all surgery types. The increase was most profound in surgeries with clean wounds, with relative risks for morbidly obese patients ranging up to 7.8 (95% CI, 6.0-10.2) for deep SSI in total hip prosthesis. In chest and abdominal surgeries, the impact was larger for superficial SSI than for deep SSI., Conclusions: The results of our research provide evidence for the need of preventive programs targeting SSI in overweight and obese patients, as well as for the prevention of obesity in the general population.

Background: Surveillance of surgical site infections (SSIs) is a core component of effective infection control practices, though its impact has not been quantified on a large scale., Aim: To determine the time-trend of SSI rates in surveillance networks., Methods: SSI surveillance networks provided procedure-specific data on numbers of SSIs and operations, stratified by hospitals' year of participation in the surveillance, to capture length of participation as an exposure. Pooled and procedure-specific random-effects Poisson regression was performed to obtain yearly rate ratios (RRs) with 95% confidence intervals (CIs), and including surveillance network as random intercept., Findings: Of 36 invited networks, 17 networks from 15 high-income countries across Asia, Australia and Europe participated in the study. Aggregated data on 17 surgical procedures (cardiovascular, digestive, gynaecological-obstetrical, neurosurgical, and orthopaedic) were collected, resulting in data concerning 5,831,737 operations and 113,166 SSIs. There was a significant decrease in overall SSI rates over surveillance time, resulting in a 35% reduction at the ninth (final) included year of surveillance (RR: 0.65; 95% CI: 0.63-0.67). There were large variations across procedure-specific trends, but strong consistent decreases were observed for colorectal surgery, herniorrhaphy, caesarean section, hip prosthesis, and knee prosthesis., Conclusion: In this large, international cohort study, pooled SSI rates were associated with a stable and sustainable decrease after joining an SSI surveillance network; a causal relationship is possible, although unproven. There was heterogeneity in procedure-specific trends. These findings support the pivotal role of surveillance in reducing infection rates and call for widespread implementation of hospital-based SSI surveillance in high-income countries., (Copyright © 2018 The Healthcare Infection Society. All rights reserved.)

Objectives: The epidemiology of disease caused by group B Streptococcus (GBS; Streptococcus agalactiae) outside pregnancy and the neonatal period is poorly characterized. The aim of this study was to quantify the role of GBS as a cause of surgical site and non-invasive infections at all ages., Methods: A systematic review (PROSPERO CRD42017068914) and meta-analysis of GBS as a proportion (%) of bacterial isolates from surgical site infection (SSI), skin/soft tissue infection (SSTI), urinary tract infection (UTI), and respiratory tract infection (RTI) was conducted., Results: Seventy-four studies and data sources were included, covering 67 countries. In orthopaedic surgery, GBS accounted for 0.37% (95% confidence interval (CI) 0.08-1.68%), 0.87% (95% CI 0.33-2.28%), and 1.46% (95% CI 0.49-4.29%) of superficial, deep, and organ/space SSI, respectively. GBS played a more significant role as a cause of post-caesarean section SSI, detected in 2.92% (95% CI 1.51-5.55%), 1.93% (95% CI 0.97-3.81%), and 9.69% (95% CI 6.72-13.8%) of superficial, deep, and organ/space SSI. Of the SSTI isolates, 1.89% (95% CI 1.16-3.05%) were GBS. The prevalence of GBS in community and hospital UTI isolates was 1.61% (1.13-2.30%) and 0.73% (0.43-1.23%), respectively. GBS was uncommonly associated with RTI, accounting for 0.35% (95% CI 0.19-0.63%) of community and 0.27% (95% CI 0.15-0.48%) of hospital RTI isolates., Conclusions: GBS is implicated in a small proportion of surgical site and non-invasive infections, but a substantial proportion of invasive SSI post-caesarean section., (Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Surgical-site infection (SSI) is a serious surgical complication that can be prevented by preoperative skin disinfection. In Western European countries, preoperative disinfection is commonly performed with either chlorhexidine or iodine in an alcohol-based solution. This study aimed to investigate whether there is superiority of chlorhexidine-alcohol over iodine-alcohol for preventing SSI., Methods: This prospective cluster-randomized crossover trial was conducted in five teaching hospitals. All patients who underwent breast, vascular, colorectal, gallbladder or orthopaedic surgery between July 2013 and June 2015 were included. SSI data were reported routinely to the Dutch National Nosocomial Surveillance Network (PREZIES). Participating hospitals were assigned randomly to perform preoperative skin disinfection using either chlorhexidine-alcohol (0·5 per cent/70 per cent) or iodine-alcohol (1 per cent/70 per cent) for the first 3 months of the study; every 3 months thereafter, they switched to using the other antiseptic agent, for a total of 2 years. The primary endpoint was the development of SSI., Results: A total of 3665 patients were included; 1835 and 1830 of these patients received preoperative skin disinfection with chlorhexidine-alcohol or iodine-alcohol respectively. The overall incidence of SSI was 3·8 per cent among patients in the chlorhexidine-alcohol group and 4·0 per cent among those in the iodine-alcohol group (odds ratio 0·96, 95 per cent c.i. 0·69 to 1·35)., Conclusion: Preoperative skin disinfection with chlorhexidine-alcohol is similar to that for iodine-alcohol with respect to reducing the risk of developing an SSI., (© 2019 The Authors. BJS Open published by John Wiley & Sons Ltd on behalf of BJS Society Ltd.)

OBJECTIVE Surveillance is an important strategy to reduce the incidence of surgical site infections (SSIs). We investigated whether prior, multiple-, or repetitive surgeries are risk factors for SSI and whether they should be preserved in the protocol of the Dutch national SSI surveillance network. METHODS Dutch national SSI surveillance data 2012-2015 were selected, including 34 commonly performed procedures from 8 major surgical specialties. Definitions of SSIs followed international standardized criteria. We used multivariable multilevel logistic regression techniques to evaluate whether prior, multiple-, or repetitive procedure(s) are risk factors for SSIs. We considered surgeries clustered within partnerships of medical specialists and within hospitals (random effects) and different baseline risks between surgical specialties (fixed effects). Several patient and surgical characteristics were considered possible confounders and were included where necessary. We performed analyses for superficial and deep SSIs combined as well as separately. RESULTS In total, 115,943 surgeries were reported by 85 hospitals; among them, 2,960 (2.6%) resulted in SSIs (49.3% deep SSIs). The odds ratio (OR) for having prior surgery was 0.94 (95% confidence interval [CI], 0.74-1.20); the OR for repetitive surgery was 2.39 (95% CI, 2.06-2.77); and the OR for multiple surgeries was1.27 (95% CI, 1.07-1.51). The latter effect was mainly caused by prolonged duration of surgery. CONCLUSIONS Multiple- and repetitive surgeries significantly increased the risk of an SSI, whereas prior surgery did not. Therefore, prior surgery is not an essential data item to include in the national SSI surveillance network. The increased risk of SSIs for multiple surgeries was mainly caused by prolonged duration of surgery, therefore, it may be sufficient to report only duration of surgery to the surveillance network, instead of both (the variables duration of surgery and multiple surgeries). Infect Control Hosp Epidemiol 2017;38:1298-1305.

Background: In 2008, a bundle of care to prevent Surgical Site Infections (SSIs) was introduced in the Netherlands. The bundle consisted of four elements: antibiotic prophylaxis according to local guidelines, no hair removal, normothermia and 'hygiene discipline' in the operating room (i.e. number of door movements). Dutch hospitals were advised to implement the bundle and to measure the outcome. This study's goal was to assess how effective the bundle was in reducing SSI risk., Methods: Hospitals assessed whether their staff complied with each of the bundle elements and voluntary reported compliance data to the national SSI surveillance network (PREZIES). From PREZIES data, we selected data from 2009 to 2014 relating to 13 types of surgical procedures. We excluded surgeries with missing (non)compliance data, and calculated for each remaining surgery with reported (non)compliance data the level of compliance with the bundle (that is, being compliant with 0, 1, 2, 3, or 4 of the elements). Subsequently, we used this level of compliance to assess the effect of bundle compliance on the SSI risk, using multilevel logistic regression techniques., Results: 217 489 surgeries were included, of which 62 486 surgeries (29%) had complete bundle reporting. Within this group, the SSI risk was significantly lower for surgeries with complete bundle compliance compared to surgeries with lower compliance levels. Odds ratios ranged from 0.63 to 0.86 (risk reduction of 14% to 37%), while a 13% risk reduction was demonstrated for each point increase in compliance-level. Sensitivity analysis indicated that due to analysing reported bundles only, we probably underestimated the total effect of implementing the bundle., Conclusions: This study demonstrated that adhering to a surgical care bundle significantly reduced the risk of SSIs. Reporting of and compliance with the bundle compliance can, however, still be improved. Therefore an even greater effect might be achieved.