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1.
J Arthroplasty ; 39(4): 1054-1059, 2024 Apr.
Article En | MEDLINE | ID: mdl-37914036

BACKGROUND: Arthroplasty registers underreport the incidence of periprosthetic joint infections (PJIs). We validated the incidence of reported PJIs in total hip arthroplasties (THAs) and total knee arthroplasties (TKAs) in the Dutch Arthroplasty Register (LROI) using data from the Dutch National Nosocomial Surveillance Network (PREZIES). METHODS: All primary THAs and TKAs from the LROI and all primary THAs and TKAs performed in consenting hospitals from PREZIES between 2012 and 2018 were matched on date of birth, date of surgery, sex, hospital, and type of procedure (THA n = 91,208; TKA n = 80,304). Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for PJIs registered in the LROI, using PREZIES as a reference. RESULTS: The incidence of registered PJIs in THAs was 1.2% in PREZIES and 0.5% in the LROI. For TKAs, this was 0.7 and 0.4%, respectively. The PJIs in THAs in the LROI had a sensitivity of 0.32 (confidence interval [CI]: 0.29 to 0.35), specificity of 1.00 (CI: 1.00 to 1.00), PPV of 0.74 (CI: 0.70 to 0.78), and NPV of 0.99 (CI: 0.99 to 0.99). In TKAs, the sensitivity, specificity, PPV, and NPV were 0.38 (CI: 0.34 to 0.42), 1.00 (CI: 1.00 to 1.00), 0.65 (CI: 0.59 to 0.70), and 1.00 (CI: 1.00 to 1.00), respectively. CONCLUSIONS: The LROI captures approximately one-third of the PJIs as revision within one year for infection or resection arthroplasty. The capture rate of PJIs can be improved by including all reoperations without component exchange and nonsurgical treatments with antibiotics only.


Arthritis, Infectious , Arthroplasty, Replacement, Hip , Arthroplasty, Replacement, Knee , Prosthesis-Related Infections , Humans , Arthroplasty, Replacement, Knee/adverse effects , Incidence , Arthroplasty, Replacement, Hip/adverse effects , Predictive Value of Tests , Hospitals , Arthritis, Infectious/complications , Reoperation/adverse effects , Prosthesis-Related Infections/epidemiology , Prosthesis-Related Infections/etiology
2.
Antimicrob Resist Infect Control ; 12(1): 2, 2023 01 05.
Article En | MEDLINE | ID: mdl-36604755

BACKGROUND: During the COVID-19 pandemic hospitals reorganized their resources and delivery of care, which may have affected the number of healthcare-associated infections (HAIs). We aimed to quantify changes in trends in the number of HAIs in Dutch hospitals during the COVID-19 pandemic. METHODS: National surveillance data from 2016 to 2020 on the prevalence of HAIs measured by point prevalence surveys, and the incidence of surgical site infections (SSIs) and catheter-related bloodstream infections (CRBSIs) were used to compare rates between the pre-pandemic (2016-February 2020) and pandemic (March 2020-December 2020) period. RESULTS: The total HAI prevalence among hospitalised patients was higher during the pandemic period (7.4%) compared to pre-pandemic period (6.4%), mainly because of an increase in ventilator-associated pneumonia (VAP), gastro-intestinal infections (GIs) and central nervous system (CNS) infections. No differences in SSI rates were observed during the pandemic, except for a decrease after colorectal surgeries (6.3% (95%-CI 6.0-6.6%) pre-pandemic versus 4.4% (95%-CI 3.9-5.0%) pandemic). The observed CRBSI incidence in the pandemic period (4.0/1,000 CVC days (95%-CI 3.2-4.9)) was significantly higher than predicted based on pre-pandemic trends (1.4/1000 (95%-CI 1.0-2.1)), and was increased in both COVID-19 patients and non-COVID-19 patients at the intensive care unit (ICU). CONCLUSIONS: Rates of CRBSIs, VAPs, GIs and CNS infections among hospitalised patients increased during the first year of the pandemic. Higher CRBSI rates were observed in both COVID-19 and non-COVID-19 ICU population. The full scope and influencing factors of the pandemic on HAIs needs to be studied in further detail.


COVID-19 , Catheter-Related Infections , Cross Infection , Humans , Pandemics , Catheter-Related Infections/epidemiology , COVID-19/epidemiology , Cross Infection/epidemiology , Hospitals , Delivery of Health Care
3.
Infect Control Hosp Epidemiol ; 44(4): 616-623, 2023 04.
Article En | MEDLINE | ID: mdl-35726554

OBJECTIVE: Automated surveillance methods increasingly replace or support conventional (manual) surveillance; the latter is labor intensive and vulnerable to subjective interpretation. We sought to validate 2 previously developed semiautomated surveillance algorithms to identify deep surgical site infections (SSIs) in patients undergoing colorectal surgeries in Dutch hospitals. DESIGN: Multicenter retrospective cohort study. METHODS: From 4 hospitals, we selected colorectal surgery patients between 2018 and 2019 based on procedure codes, and we extracted routine care data from electronic health records. Per hospital, a classification model and a regression model were applied independently to classify patients into low- or high probability of having developed deep SSI. High-probability patients need manual SSI confirmation; low-probability records are classified as no deep SSI. Sensitivity, positive predictive value (PPV), and workload reduction were calculated compared to conventional surveillance. RESULTS: In total, 672 colorectal surgery patients were included, of whom 28 (4.1%) developed deep SSI. Both surveillance models achieved good performance. After adaptation to clinical practice, the classification model had 100% sensitivity and PPV ranged from 11.1% to 45.8% between hospitals. The regression model had 100% sensitivity and 9.0%-14.9% PPV. With both models, <25% of records needed review to confirm SSI. The regression model requires more complex data management skills, partly due to incomplete data. CONCLUSIONS: In this independent external validation, both surveillance models performed well. The classification model is preferred above the regression model because of source-data availability and less complex data-management requirements. The next step is implementation in infection prevention practices and workflow processes.


Colorectal Neoplasms , Digestive System Surgical Procedures , Humans , Surgical Wound Infection/epidemiology , Retrospective Studies , Digestive System Surgical Procedures/adverse effects , Algorithms
6.
PLoS One ; 14(6): e0218372, 2019.
Article En | MEDLINE | ID: mdl-31220122

Seven hospitals participated in the Dutch national surveillance for ventilator-associated pneumonia (VAP) and its risk factors. We analysed time-independent and time-dependent risk factors for VAP using the standard Cox regression and the flexible Weighted Cumulative Effects method (WCE) that evaluates both current and past exposures. The prospective surveillance of intensive care patients aged ≥16 years and ventilated ≥48 hours resulted in the inclusion of 940 primary ventilation periods, comprising 7872 ventilation days. The average VAP incidence density was 10.3/1000 ventilation days. Independent risk factors were age (16-40 years at increased risk: HR 2.42 95% confidence interval 1.07-5.50), COPD (HR 0.19 [0.04-0.78]), current sedation score (higher scores at increased risk), current selective oropharyngeal decontamination (HR 0.19 [0.04-0.91]), jet nebulizer (WCE, decreased risk), intravenous antibiotics for selective decontamination of the digestive tract (ivSDD, WCE, decreased risk), and intravenous antibiotics not for SDD (WCE, decreased risk). The protective effect of ivSDD was afforded for 24 days with a delay of 3 days. For some time-dependent variables, the WCE model was preferable over standard Cox proportional hazard regression. The WCE method can furthermore increase insight into the active time frame and possible delay herein of a time-dependent risk factor.


Anti-Bacterial Agents/therapeutic use , Cross Infection/epidemiology , Pneumonia, Ventilator-Associated/epidemiology , Pulmonary Disease, Chronic Obstructive/epidemiology , Adolescent , Aged , Cross Infection/etiology , Female , Gastrointestinal Tract/drug effects , Gastrointestinal Tract/pathology , Humans , Inhalation , Intensive Care Units , Male , Middle Aged , Netherlands/epidemiology , Pneumonia, Ventilator-Associated/drug therapy , Pneumonia, Ventilator-Associated/pathology , Proportional Hazards Models , Pulmonary Disease, Chronic Obstructive/drug therapy , Pulmonary Disease, Chronic Obstructive/pathology , Respiration, Artificial/adverse effects , Risk Factors
7.
Int J Infect Dis ; 83: 116-129, 2019 Jun.
Article En | MEDLINE | ID: mdl-31028879

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.


Streptococcal Infections/epidemiology , Streptococcus agalactiae , Surgical Wound Infection/epidemiology , Cesarean Section , Female , Humans , Male , Pregnancy , Prevalence , Respiratory Tract Infections , Soft Tissue Infections/epidemiology , Soft Tissue Infections/microbiology , Streptococcal Infections/microbiology , Streptococcus agalactiae/classification , Surgical Wound Infection/microbiology , Urinary Tract Infections/epidemiology , Urinary Tract Infections/microbiology
8.
BMC Urol ; 12: 25, 2012 Sep 06.
Article En | MEDLINE | ID: mdl-22954383

BACKGROUND: Although indwelling urethra catheterization is a medical intervention with well-defined risks, studies show that approximately 14-38% of the indwelling urethra catheters (IUCs) are placed without a specific medical indication. In this paper we describe the prevalence of IUCs, including their inappropriate use in the Netherlands. We also determine factors associated with inappropriate use of IUCs in hospitalized patients. METHODS: In 28 Dutch hospitals, prevalence surveys were performed biannually in 2009 and 2010 within the PREZIES-network. All patients admitted to a participating hospital and who had an IUC in place at the day of the survey were included. Pre-determined criteria were used to categorize the indication for catheterization as appropriate or inappropriate. RESULTS: A total of 14,252 patients was included and 3020 (21.2%) of them had an IUC (range hospitals 13.4-27.3). Initial catheter placement was inappropriate in 5.2% of patients and 7.5% patients had an inappropriate indication at the day of the survey. In multivariate analyses inappropriate catheter use at the time of placement was associated with female sex, older age, admission on a non-intensive care ward, and not having had surgery. Inappropriate catheter use at the time of survey showed comparable associated factors. CONCLUSIONS: Although lower than in many other countries, inappropriate use of IUC is present in Dutch hospitals. To reduce the inappropriate use of IUCs, recommended components of care (bundle for UTI), including daily revision and registration of the indication for catheterization, should be introduced for all patients with an IUC. Additionally, an education and awareness campaign about appropriate indications for IUC should be available.


Catheters, Indwelling/statistics & numerical data , Hospitalization , Urinary Catheterization/statistics & numerical data , Aged , Catheters, Indwelling/adverse effects , Cross Infection/epidemiology , Cross Infection/prevention & control , Female , Humans , Male , Middle Aged , Netherlands/epidemiology , Prevalence , Urinary Catheterization/adverse effects , Urinary Tract Infections/epidemiology , Urinary Tract Infections/prevention & control
9.
Intensive Care Med ; 33(2): 271-8, 2007 Feb.
Article En | MEDLINE | ID: mdl-17146632

OBJECTIVE: To examine the incidence of and risk factors for device-associated infections and associated mortality. DESIGN AND SETTING: Prospective surveillance-based study in ICUs of 19 hospitals in The Netherlands. PATIENTS: The study included 2,644 patients without infection at admission during 1997-2000, staying in the ICU for at least 48 h. MEASUREMENTS AND RESULTS: The occurrence of ventilator-associated pneumonia (VAP), central venous catheter (CVC) related bloodstream infection (CR-BSI), urinary catheter-associated urinary tract infection (CA-UTI) and risk factors was monitored. Of the ventilated patients 19% developed pneumonia (25/1,000 ventilator days); of those with a central line 3% developed CR-BSI (4/1,000 CVC days,) and of catheterized patients 8% developed CA-UTI (9/1,000 catheter days). Longer device use increased the risk for all infections, especially for CR-BSI. Independent risk factors were sex, immunity, acute/elective admission, selective decontamination of the digestive tract, and systemic antibiotics at admission, dependent upon the infection type. Crude mortality significantly differed in patients with and without CR-BSI (31% vs. 20%) and CA-UTI (27% vs. 17%) but not for VAP (26% vs. 23%). Acquiring a device-associated infection was not an independent risk factor for mortality. Being in need of ventilation or a central line, and the duration of this, contributed significantly to mortality, after adjusting for other risk factors. CONCLUSIONS: Device use was the major risk factor for acquiring VAP, CR-BSI and CA-UTI. Acquiring a device-associated infection was not an independent risk factor for mortality, but device use in itself was.


Catheterization, Central Venous/adverse effects , Cross Infection/etiology , Pneumonia, Ventilator-Associated/epidemiology , Population Surveillance/methods , Urinary Catheterization/adverse effects , Urinary Tract Infections/etiology , Adult , Aged , Cross Infection/mortality , Female , Humans , Incidence , Intensive Care Units/statistics & numerical data , Length of Stay , Male , Middle Aged , Netherlands/epidemiology , Pneumonia, Ventilator-Associated/mortality , Risk Factors , Urinary Tract Infections/mortality
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