A point-prevalence survey of healthcare-associated infection in fifty-two Chinese hospitals

Comparative analysis of hospital-acquired and community-acquired infections at a tertiary hospital in China before and during COVID-19: A 7-year longitudinal study (2017-2023)

BACKGROUND

This 7-year longitudinal survey (2017-2023) assessed the point prevalence of hospital-acquired infections (HAIs) and community-acquired infections (CAIs) at a first-class tertiary hospital in China, both prior to and during the Corona Virus Disease 2019 (COVID-19) pandemic.

METHODS

Patients were stratified into prepandemic and pandemic periods, as well as into stringent and relaxed infection prevention and control (IPC) phases, to compare the point prevalence of HAIs and CAIs.

RESULTS

The overall point prevalence of HAIs was 1.50% (95% confidence interval [CI], 1.32%-1.71%), showing a significant downward trend (P = .021). Among patients receiving pathogen testing, the point prevalence of HAIs significantly declined during the pandemic (6.26% vs 9.89%, P < .001). The point prevalence of CAIs demonstrated a notable increase in 2023 compared with 2020 to 2022 among pathogen-tested patients (81.37% vs 74.18%, P = .001). Multivariate analysis identified hospitalization during the pandemic as a protective factor against HAIs (adjusted odds ratio 0.49, 95% CI, 0.36-0.67).

CONCLUSIONS

The comprehensive IPC strategy implemented during the COVID-19 pandemic at this tertiary hospital significantly reduced the point prevalence of HAIs. However, CAIs exhibited a rising trend following the relaxation of COVID-19 IPC measures.

Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients

This study aimed to preliminarily develop machine learning (ML) models capable of predicting the risk of device-associated infection and 30-day outcomes following invasive device procedures in intensive care unit (ICU) patients. The study utilized data from 8574 ICU patients who underwent invasive procedures, sourced from the Medical Information Mart for Intensive Care (MIMIC)-IV version 2.2 database. Patients were allocated into training and validation datasets in a 7:3 ratio. Seven ML models were employed for predicting device-associated infections, while five models were used for predicting 30-day survival outcomes. Model performance was primarily evaluated using the receiver operating characteristic (ROC) curve for infection prediction and the survival model's concordance index (C-index). Top-performing models progressively reduced the number of variables based on their importance, thereby optimizing practical utility. The inclusion of all variables demonstrated that extreme gradient boosting (XGBoost) and extra survival trees (EST) models yielded superior discriminatory performance. Notably, when restricted to the top 10 variables, both models maintained performance levels comparable to when all variables were included. In the validation cohort, the XGBoost model, with the top 10 variables, achieved an area under the curve (AUC) of 0.810 (95% CI 0.808-0.812), an area under the precision-recall curve (AUPRC) of 0.226 (95% CI 0.222-0.230), and a Brier score (BS) of 0.053 (95% CI 0.053-0.054). The EST model, with the top 10 variables, reported a C-index of 0.756 (95% CI 0.754-0.757), a time-dependent AUC of 0.759 (95% CI 0.763-0.775), and an integrated Brier score (IBS) of 0.087 (95% CI 0.087-0.087). Both models are accessible via a web application. The internally evaluated XGBoost and EST models demonstrated exceptional predictive accuracy for device-associated infection risks and 30-day survival outcomes post-invasive procedures in ICU patients. Further validation is required to confirm the clinical utility of these two models in future studies.

Healthcare-associated infections and nursing leadership: A systematic review

Background

Healthcare-associated infections are strictly related to healthcare practices. A head nurse stimulates and motivates nurses, boosts nurses' job performance and satisfaction, and can influence adverse event development.

Aim

To explore the relationship between healthcare-associated infections and head nurse leadership style.

Methods

A systematic review was conducted. The search was conducted from 1973 until March 2022 on PubMed, Cochrane Library, Scopus, CINAHL, Web of Science, Embase, and APA PsycInfo databases. The review followed the Joanna Briggs Institute Manual for Evidence Synthesis and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. A thematic synthesis and critical appraisal of the included studies have been conducted.

Results

Eight articles were included in this review. Head nurses' leadership, supported by the organization, can positively influence the job performance and job satisfaction of nurses by reducing infection rates associated with vascular access and urinary catheters.

Discussion

Authentic and transformational nurse leadership styles can foster targeted interventions and improvements tailored to preventing and controlling healthcare-associated infections. Even if there is limited evidence, the results support that the occurrence of infections can be reduced by leadership strategies implemented by head nurses.

Validation of Administrative Data and Timing of Point Prevalence Surveys for Antibiotic Monitoring

Importance

Point prevalence surveys (PPSs) are used globally to collect data on antibiotic prescriptions. However, the optimal frequency for data collection to ensure comprehensive understanding of antibiotic use and to target and monitor stewardship interventions remains unknown.

Objective

To identify the optimal frequency for collecting data on antibiotic use among the pediatric population through PPSs leveraging administrative data.

Design, Setting, and Participants

This prognostic study used a cross-sectional validation approach and was conducted in pediatric outpatient and inpatient settings in the Veneto region of Italy. Antibiotics were classified according to the World Health Organization Access, Watch and Reserve criteria. Prescribing rates of access antibiotics were analyzed for pediatric inpatients with records dated between October 1, 2014, and December 31, 2022, and outpatients with records dated between January 1, 2010, and December 31, 2022. The study included children younger than 15 years with an antibiotic prescription who were admitted to the pediatric acute care unit or evaluated by a primary care pediatrician. Data analysis was performed from October 2023 to January 2024.

Main Outcomes and Measures

An algorithm was developed to identify optimal time frames for conducting PPSs. This approach sought to minimize the discrepancy between quarterly and yearly PPS results, aiming to accurately estimate annual antibiotic prescribing rates in both inpatient and outpatient settings (primary outcome). External validity of the optimal PPS time frames derived from outpatient data when applied to the inpatient setting was also investigated. Validation involved assessing the effectiveness of administrative data in identifying strategic PPS periods for capturing inpatient antibiotic use patterns (secondary outcome).

Results

This analysis included 106 309 children: 3124 were inpatients (1773 males [56.8%]) and 103 185 were outpatients (53 651 males [52.0%]). A total of 5099 and 474 867 antibiotic prescriptions from inpatients and outpatients were analyzed, respectively. Outpatients tended to be older than inpatients, with a median age of 3.2 (IQR, 1.3-6.3) years vs 2.6 (IQR, 0.6-6.6) years, respectively, and with a lower burden of clinical comorbidities (≥1 comorbidity: 6618 [6.4%] vs 1141 [36.5%], respectively). The algorithm successfully identified distinct time frames within the calendar year from inpatient and outpatient records optimized for PPS data collection. Rates obtained from the quarterly PPS during these identified periods exhibited greater agreement with annual antibiotic prescribing rates (inpatient: r = 0.17, P < .001; and outpatient: r = 0.42, P < .001) than those derived from the yearly PPS (inpatient: r = 0.04, P = .58; and outpatient: r = 0.05, P = .34), with a Δ reduction of up to 89.8% (where Δ represents the percentage point change in antibiotic prescribing rates). Furthermore, the optimal PPS time frames gleaned from the outpatient data demonstrated robust applicability to the inpatient setting, yielding comparable results in both scenarios.

Conclusions and Relevance

This study evaluated the potential of administrative data in determining the optimal timing of PPS implementation. The quarterly PPS balanced precision and sustainability, especially when implemented during strategically selected periods across different seasons. Further studies are needed to validate the algorithm used in this study, especially in post-COVID-19 pandemic years and different settings.

Airborne concentrations of bacteria and mold in Korean public-use facilities: measurement, systematic review, meta-analysis, and probabilistic human inhalation risk assessment

Bioaerosols adversely affect human health posing risk to users of public facilities in Korea. Between October 2021 and May 2022, airborne bacteria and mold were measured in 1,243 public-use facilities across 23 categories. A systematic review and meta-analysis were performed on these and other studies from June 2004 to May 2021, and the non-carcinogenic risks to humans were assessed using Monte Carlo simulations. For bacteria, the maximum 95th percentile concentration was 584.4 cfu/m3 and 1384.8 cfu/m3 for mold. The heterogeneity statistic I2 was over 50% in all facilities, and for subway station bacteria, there was a significant difference according to the measurement method. The 95th percentile of hazard by population group was 8.83 × 10-2 to 3.42 × 10-1 for bacteria, and 1.31 × 10-1 to 3.55 × 10-1 for mold. The probability of a hazard quotient exceeding 1 for some population groups was derived from exposure to bacteria and mold in the air resulting from the use of all public facilities. The most powerful explanatory factor for risk was exposure time to the facility, both within (up to 0.922 for bacteria and up to 0.960 for mold) and between populations (up to 0.543 for bacteria and 0.483 for mold). This study identified populations at risk of bioaerosol exposure in Korean public-use facilities and estimated the influencing factors, highlighting the need for comprehensive improvement in bioaerosol control in public-use facilities.

The incidence of surgical site infections in China

Surgical site infections (SSIs) are a common type of healthcare-associated infection. We performed a literature review to demonstrate the incidence of SSIs in mainland China based on studies since 2010. We included 231 eligible studies with ≥30 postoperative patients, comprising 14 providing overall SSI data regardless of surgical sites and 217 reporting SSIs for a specific site. We found that the overall SSI incidence was 2.91% (median; interquartile range: 1.05%, 4.57%) or 3.18% (pooled; 95% confidence interval: 1.85%, 4.51%) and the SSI incidence varied remarkably according to the surgical site between the lowest (median, 1.00%; pooled, 1.69%) in thyroid surgeries and the highest (median, 14.89%; pooled, 12.54%) in colorectal procedures. We uncovered that Enterobacterales and staphylococci were the most common types of micro-organisms associated with SSIs after various abdominal surgeries and cardiac or neurological procedures, respectively. We identified two, nine, and five studies addressing the impact of SSIs on mortality, the length of stay (LOS) in hospital, and additional healthcare-related economic burden, respectively, all of which demonstrated increased mortality, prolonged LOS, and elevated medical costs associated with SSIs among affected patients. Our findings illustrate that SSIs remain a relatively common, serious threat to patient safety in China, requiring more action. To tackle SSIs, we propose to establish a nationwide network for SSI surveillance using unified criteria with the aid of informatic techniques and to tailor and implement countermeasures based on local data and observation. We highlight that the impact of SSIs in China warrants further study.

A prospective surveillance study of healthcare-associated infections in an intensive care unit from a tertiary care teaching hospital from 2012-2019

Healthcare-associated infections (HAIs) continue to be the most common adverse event affecting critically ill inpatients in intensive care units (ICUs). Limited data exist in the English literature on the epidemiology of HAIs in ICUs from China. The purpose of this prospective study was to understand the prevalence and trends of HAIs in the ICU to guide clinicians to take effective prevention and control measures. In total, 20 ICU beds in the hospital from January 2012 to December 2019 were selected for surveillance. HAI diagnosis and device-associated infection surveillance were based on the criteria set forth by the original Ministry of Health of the People's Republic of China. The full-time staff for HAI management monitored all patients who stayed in the ICU > 48 hours during the study period and calculated the device utilization ratio and device-associated infection rate. The rate of HAIs and the adjusted rate were 18.78 per 1000 patient-days and 5.17 per 1000 patient-days, respectively. The rates of ventilator-associated pneumonias, catheter-associated urinary tract infections, and central line-associated bloodstream infections were 22.68 per 1000 device-days, 2.40 per 1000 device-days, and 2.27 per 1000 device-days, respectively. A total of 731 pathogenic bacteria were detected in the patients with HAIs. Gram-negative and gram-positive bacteria accounted for 67.44% and 16.83%, respectively. Continuous target monitoring, regular analysis of high-risk factors, and timely intervention measures could effectively reduce HAIs in the ICU. Additionally, these findings could be used for developing new strategies to prevent and control HAIs in ICUs.

Eight year study on evolution of antimicrobial resistance in an antimicrobial-naïve trauma population

PURPOSE

Healthcare-associated infections (HAIs) are a leading cause of morbidity and mortality in low- and middle-income countries (LMICs). Moreover, the burden of HAIs is higher in ICU admitted patients. Long term studies are beneficial to evolution pattern of AMR. Therefore, this study aimed to evaluate the evolution of AMR pattern over the years in one of the ICUs of a level 1 Trauma Center. This will enable us to modify the prescribing practices according to emerging resistance patterns.

METHODS

This study was conducted at one of the ICU of level-1 trauma center of tertiary care hospital. The study reports the findings of the AMR surveillance from January 2012 to December 2019. Standard definitions were used to define HAI (www.hais.com). The clinical records of the patients were maintained using ASHAIN indigenous software. Outbreak analysis was done by WHONET.

RESULTS

From 1st January 2012-31st December 2019, 4305 isolates were obtained from 1969 patients. Most frequent occurring organism were gram negatives among which A. baumannii was common followed by K. pneumoniae, and P. aeruginosa. Retrospective analysis showed 7 outbreaks/clusters during the study period and all the outbreaks occurred from October to December in each year. The increasing trend of AMR pattern emphasizes to strengthen infection control practices and sustained AMR surveillance.

Antimicrobial use, healthcare-associated infections, and bacterial resistance in general hospitals in China: the first national pilot point prevalence survey report

The purpose of this study is to implement point prevalence survey (PPS), assess antimicrobial prescribing and resistance in general hospitals and clinical specialties in China, and compare them with similar data from other parts of the world. Twenty general hospitals in China were surveyed in October or November, 2019. A standardized surveillance protocol was used to collect data on patient demographics, diagnosis of infection, the prevalence and intensity of antimicrobial use, prescribing quality, bacterium type and resistance spectrum, and the prevalence and type of healthcare-associated infections (HAIs). Overall, 10,881 beds and 10,209 inpatients were investigated. The overall prevalence of antibiotic use was 37.00%, the use of antibiotic prophylaxis in surgical patients was high (74.97%). The intensity of antimicrobial use was 61.25 DDDs/100 patient days. Only 11.62% of antimicrobial prescriptions recorded the reason for prescribing. Intravenous or combination treatments comprised 92.02% and 38.07%, respectively, and only 30.65% of prescriptions referred to a microbiological or biomarker tests. The incidence of HAIs in all patients was 3.79%. The main associated factors for HAIs included more frequent invasive procedures (27.34%), longer hospital stay (> 1-week stay accounting for 51.47%), and low use of alcohol hand rubs (only 29.79% placed it bedside). Most of the resistant bacteria declined; only carbapenem-resistant Enterobacter is higher than previously reported. The prevalence of antibiotic use in general hospitals fell significantly, the overall bacterial resistance declined, and the incidence of HAI was low. However, the low quality of antimicrobial use requires urgent attention.

A distributed lag non-linear time-series study of ambient temperature and healthcare-associated infections in Hefei, China

Little is known about the effects of temperature on healthcare-associated infections (HAIs). A distributed lag non-linear model was used to estimate the association between ambient temperature and HAIs in Hefei, China. In total, 9,592 HAIs were included. The effect of low temperature (-0.1°C, 2.5th percentile) was significant on the current day (RR = 1.108, 95%CI:1.003-1.222), and then appeared on the 4th day (RR = 1.045, 95%CI:1.007-1.084) and the 5th day (RR = 1.033, 95%CI:1.006-1.061). The cumulative lag effects of low temperature lasted from the 5th to 10th days (RR = 1.123-1.143), and a long-term cumulative lag effect was observed on the 14th day (RR = 1.157, 95%CI:1.001-1.338). The lag effect of high temperature (31.0°C, 97.5th percentile) was not statistically significant. However, the effects of temperatures on HAIs were not significant among gender or age subgroups. This study suggests that the low temperatures have acute and lag effects on HAIs in Hefei, China.

Trending prevalence of healthcare-associated infections in a tertiary hospital in China during the COVID-19 pandemic

BACKGROUND

The purpose of this study was to demonstrate both the four-year prevalence trend of healthcare-associated infections (HAIs) in a large tertiary hospital and the trend regarding the prevalence of HAIs following the outbreak of coronavirus disease 2019 (COVID-19) in order to provide evidence of hospital infection management during the COVID-19 pandemic.

METHODS

Based on the hospital's electronic nosocomial infection databases related to HAIs, we retrospectively identified the HAI cases to assess the epidemiological characteristics of HAIs from January 1, 2018, to December 31, 2021, in a large tertiary hospital in China. Similarly, the trends of HAIs after the COVID-19 outbreak and the seasonal variation of HAIs were further analyzed.

RESULTS

The HAI cases (n = 7833) were identified from the inpatients (n = 483,258) during the 4 years. The most frequently occurring underlying cause of HAIs was respiratory tract infections (44.47%), followed by bloodstream infections (11.59%), and urinary tract infections (8.69%). The annual prevalence of HAIs decreased from 2.39% in 2018 to 1.41% in 2021 (P = 0.032), with the overall prevalence of HAIs significantly decreasing since the outbreak of COVID-19 (2.20% in 2018-2019 vs. 1.44% in 2020-2021, P < 0.001). The prevalence of respiratory tract infections decreased most significantly; whereas, overall, the prevalence of HAIs was significantly greater during the winter compared with the rest of the year.

CONCLUSIONS

Not only did the annual prevalence of HAIs decrease from 2018 to 2021, but it also significantly decreased since the start of the COVID-19 pandemic, particularly respiratory tract infections. These results provide evidence for the need to prevent HAIs, especially during the winter season.

WHO-Point Prevalence Survey of Antibiotic Use Among Inpatients at a Core National Antimicrobial Consumption Network Site in North India: Findings and Implications

Data on Point Prevalence Surveys (PPSs) in India are limited yet. We report findings of a PPS conducted in a core "National Antimicrobial Consumption Network site" under National Centre for Disease Control - WHO project "Point prevalence survey of antimicrobial consumption at healthcare facilities." A cross-sectional survey was conducted as per the "WHO methodology for PPS on antibiotic use in hospitals" in a tertiary care hospital in India in December 2021. Data were collected using predesigned and pretested questionnaire in separate hospital, ward, and patient forms. Eight hundred two inpatients (excluding ICUs) were covered out of whom 299 (37.3%) were on antibiotics with 11.7% receiving 3 or more antibiotics. Surgical prophylaxis (SP) (42.5%) and community acquired infections (32.8%) were the most common indications for antibiotic use. Of the patients, 92.5% received SP for more than 24 hrs. Most commonly prescribed antibiotics were penicillins with beta-lactamase inhibitors (22.3%). Of the total antibiotic prescriptions, 81.5% were from WHO essential medicines list and 12% from "not recommended" WHO AWaRe classification. Of the antibiotic prescriptions, 84.6% were parenteral. Few prescriptions complied with standard treatment guidelines (1.9%), documented indication for antibiotic use (11.6%), and stop/review date (4.4%) in notes. Double anaerobic cover accounted for 6.8% of the total prescriptions. Some identified areas for improvement were: formulation of hospital antibiotic guidelines, promoting culture of sending cultures, improvement in surgical antibiotic prophylaxis, decreasing use of antibiotic combinations and double anaerobic cover, fostering IV to oral switch of antibiotics, and ensuring effective communication among health care workers by documenting adequate information in medical notes.

Increasing trend in enterococcal bacteraemia and vancomycin resistance in a tertiary care hospital in Croatia, 2017-2021

BACKGROUND

The epidemiology of enterococcal bacteraemia has changed worldwide and vancomycin-resistant enterococci increasingly cause healthcare-associated infections) with limited treatment options. Studies show heterogeneity among countries, regions and individual hospitals.

METHODS

We retrospectively analysed enterococcal bacteraemia with Enterococcus faecalis and E. faecium at the largest hospital in Croatia, University Hospital Centre Zagreb from January 2017 to December 2021.

RESULTS

A total of 432 cases of enterococcal bacteraemia were identified with 256 (59.3%) due to E. faecalis and 176 (40.7%) to E. faecium. Enterococcal bacteraemia occurred more frequently in men (n = 270; 62.5%) and the median age of all patients was 62 years (IQR: 0-92). We found statistically significant increase in the incidence trend of bacteraemic episodes with an annual percent change of 20.9% (95% confidence interval 14.3 to 27.8; p = .002) predominantly due to an increase of E. faecalis bacteraemia. The majority of patients (362/432; 83.8%) had healthcare-associated infections and 38.0% (165/432) of patients were in the intensive care unit. The proportion of vancomycin-resistant enterococcal bacteraemia increased from 12.7% (n = 8/63) in 2017 to 25.7% (n = 29/113) in 2021, statistically significant increasing trend (p = .0455), mainly due to an increased proportion of vancomycin-resistant E. faecium (p = .0169).

CONCLUSIONS

This is the first study describing the trends in enterococcal bacteraemia and vancomycin-resistance in enterococci in Croatia. We found a rising trend in enterococcal bacteraemia and in the proportion of vancomycin resistance and identified the most vulnerable patient groups, notably intensive care unit patients.

Update on the epidemiology of healthcare-acquired bacterial infections: focus on complicated skin and skin structure infections

Healthcare-associated infections (HCAIs) are a threat to patient safety and cause substantial medical and economic burden in acute care and long-term care facilities. Risk factors for HCAIs include patient characteristics, the type of care and the setting. Local surveillance data and microbiological characterization are crucial tools for guiding antimicrobial treatment and informing efforts to reduce the incidence of HCAI. Skin and soft tissue infections, including superficial and deep incisional surgical site infections, are among the most frequent HCAIs. Other skin and soft tissue infections associated with healthcare settings include vascular access site infections, infected burns and traumas, and decubitus ulcer infections.

Hospital-acquired infections caused by enterococci: a systematic review and meta-analysis, WHO European Region, 1 January 2010 to 4 February 2020

BackgroundHospital-acquired infections (HAI) caused by Enterococcus spp., especially vancomycin-resistant Enterococcusspp. (VRE), are of rising concern.AimWe summarised data on incidence, mortality and proportion of HAI caused by enterococci in the World Health Organization European Region.MethodsWe searched Medline and Embase for articles published between 1 January 2010 and 4 February 2020. Random-effects meta-analyses were performed to obtain pooled estimates.ResultsWe included 75 studies. Enterococcus spp. and VRE accounted for 10.9% (95% confidence interval (CI): 8.7-13.4; range: 6.1-17.5) and 1.1% (95% CI: 0.21-2.7; range: 0.39-2.0) of all pathogens isolated from patients with HAI. Hospital wide, the pooled incidence of HAI caused by Enterococcus spp. ranged between 0.7 and 24.8 cases per 1,000 patients (pooled estimate: 6.9; 95% CI: 0.76-19.0). In intensive care units (ICU), pooled incidence of HAI caused by Enterococcus spp. and VRE was 9.6 (95% CI: 6.3-13.5; range: 0.39-36.0) and 2.6 (95% CI: 0.53-5.8; range: 0-9.7). Hospital wide, the pooled vancomycin resistance proportion among Enterococcus spp. HAI isolates was 7.3% (95% CI: 1.5-16.3; range: 2.6-11.5). In ICU, this proportion was 11.5% (95% CI: 4.7-20.1; range: 0-40.0). Among patients with hospital-acquired bloodstream infections with Enterococcus spp., pooled all-cause mortality was 21.9% (95% CI: 15.7-28.9; range: 14.3-32.3); whereas all-cause mortality attributable to VRE was 33.5% (95% CI: 13.0-57.3; range: 14.3-41.3).ConclusionsInfections caused by Enterococcus spp. are frequently identified among hospital patients and associated with high mortality.

Healthcare-associated infections over an eight year period in a large university hospital in Sicily (Italy, 2011-2018)

Background

Up to 7% of hospitalised patients acquire at least one healthcare-associated infection (HAI). The aim of the present study was to quantify the burden of HAIs in an Italian hospital, identifying involved risk factors.

Methods

Prevalence point study carried out from 2011 to 2018. For each recruited patient, a data entry form was compiled including information on demographics, hospital admission, risk factors, antimicrobial treatment, and infection if present.

Results

A total of 2844 patients were included and 218 (7.03%) reported an infection. HAI prevalence rates showed a significant increase (average annual per cent change (AAPC) +33.9%; p=0.018) from 2011 to 2014 whereas from 2014 to 2018 a gradual decline was observed (AAPC -6.15%; p=0.35). Urinary tract infection was the most common HAI (25.2%) and a total of 166 (76.1%) pathogens were isolated from 218 infections. Enterococcus and Klebsiella species were the most prevalent pathogens, causing 15.1% and 14.5% of HAIs, respectively. A significant higher risk of HAIs was found in patients exposed to central catheter (adjusted odds ratio (adj-OR)=5.40), peripheral catheter (adj-OR=1.89), urinary catheter (adj-OR=1.46), National Healthcare Safety Network surgical intervention (adj-OR=1.48), ultimately fatal disease (adj-OR=2.19) or rapidly fatal disease (adj-OR=2.09) and in patients with longer hospital stay (adj-OR=1.01).

Conclusion

Intervention programmes based on guidelines dissemination and personnel training can contribute to reduce the impact of HAI. Moreover, McCabe score can be a very powerful and efficient predictor of risk for HAI. Finally, an unexpected very high burden of disease due to Enterobacteriaceae and Gram positive cocci that could be related to the frequent use of carbapenems and third generation cephalosporins in this hospital was found.

Utilization of neurosurgical perioperative antimicrobial prophylaxis in a Chinese teaching hospital

Background Audits of antimicrobial prophylaxis is an essential strategy to identify practice gaps in antimicrobial prescribing in healthcare facilities. There is a lack of studies on the costs, quality, and antimicrobial use density of neurosurgical perioperative antimicrobial prophylaxis in China. Objectives Evaluate the appropriateness of perioperative antimicrobial prophylaxis in neurosurgeries and analyze the costs, quality, and antimicrobial use density of neurosurgical perioperative antimicrobial prophylaxis. Setting Beijing Tsinghua Changgung Hospital, a teaching hospital in Beijing. Methods This retrospective study was conducted among 262 neurosurgical patients without infections during 2017. The appropriateness of perioperative antimicrobial prophylaxis was determined based on relevant international and Chinese perioperative antimicrobial prophylaxis guidelines. Main outcome measures Discrepancy rates in perioperative antimicrobial prophylaxis, including indication, choice of antimicrobials, dose, route of administration, time of administration of the first dose, re-dosing, and duration, were analyzed. Results Discrepancies were observed between current practice and relevant guidelines. A total of 51 (32.1%) procedures failed to administer intraoperative re-dosing as needed, and the perioperative antimicrobial prophylaxis duration of 217 (82.8%) procedures was inappropriately prolonged. The choice of antimicrobial agents was optimal in 249 (95%) procedures, and the timing of perioperative antimicrobial prophylaxis was appropriate in all procedures. If perioperative antimicrobial prophylaxis was implemented according to guidelines, the defined daily dose per 100 procedures would decrease from 31.97 to 16.99, and the total cost would reduce from $2000 to $490. Conclusions Effective antimicrobial stewardship is urgently needed to promote the appropriateness of neurosurgical perioperative antimicrobial prophylaxis in China.

Point prevalence survey of health-care associated infections and their risk factors in the tertiary-care referral hospitals of Southern Tunisia

BACKGROUND

Health-care associated infections (HAI) are considered a public health problem and have substantial effect on mortality and morbidity. This study aimed to determine the prevalence of HAI in South Tunisian University Hospitals (UH) and to identify their risk factors.

METHODS

We performed a point prevalence study, in the UH of Southern Tunisia in February 2019, including all hospitalized patients for at least 48 hours.

RESULTS

Overall, 898 patients were included in this survey, among whom 480 participants (53.5%) were males. There were 81 HAIs, accounting for a prevalence of HAI of 9.02%. Urinary tract infections (28.4%) were the most common HAI, followed by respiratory tract infections (22.2%). The main identified microorganisms among HAI patients were Klebsiella pneumonia (22.7%) and Escherichia coli (20.7%). Independent intrinsic risk factors of high prevalence of HAI were diabetes (Adjusted Odds Ratio (AOR)=3.5;p=0.016) having a rapidly fatal disease (AOR=4;p=0.024) and an ASA scores ≥2 (AOR=2.8;p=0.045). As for extrinsic risk factors, admission in ICU (AOR=11.1;p= 0.04), a length of hospital stay ≥ 7 days (AOR=4.1;p=0.04), previous hospitalization within 90 days prior to the admission (AOR=4.2;p=0.01) and having a peripheral vascular catheter (AOR=6.7; p=0.039) were independently associated with higher prevalence of HAI. Lower prevalence of HAI was independently associated with prescription of antimicrobial preoperative prophylaxis (AOR= 0.1; p=0.02).

CONCLUSION

Our findings illustrated high prevalence of HAI in South Tunisian Hospitals, affecting principally fragilized patients who may require special needs. Therefore, promoting hygiene programs for health professionals to establish patient safety's culture is urgently needed.

The pathogenic characteristics and influencing factors of health care-associated infection in elderly care center under the mode of integration of medical care and elderly care service: A cross-sectional study

The aim of this study was to analyze the distribution of pathogenic bacteria in hospitalized patients in elderly care centers under the mode of integration of medical care and elderly care service, and explore the influencing factors to reduce the health care-associated infection rate of hospitalized patients.A total of 2597 inpatients admitted to elderly care centers from April 2018 to December 2019 were included in the study. The etiology characteristics of health care-associated infections (HCAI) was statistically analyzed, univariate analysis, and multivariate logistic regression analysis method were used to analyze the influencing factors of HCAI.A total of 98 of 2597 inpatients in the elderly care centers had HCAI, and the infection rate was 3.77%. The infection sites were mainly in the lower respiratory tract and urinary tract, accounting for 53.92% and 18.63%, respectively. A total of 53 pathogenic bacteria were isolated, 43 of which (81.13%) were Gram-negative, mainly Escherichia coli, Pseudomonas aeruginosa, and Klebsiella pneumoniae, which respectively accounted for 24.53, 16.98, and 13.21%. 9 (16.98%) strains were Gram-positive, mainly Staphylococcus aureus and Enterococcus faecium, respectively accounting for 7.55 and 5.66%. Only 1 patient (1.89%) had a fungal infection. Multivariate logistic regression analysis indicated that total hospitalization days, antibiotic agents used, days of central line catheter, use of urinary catheter and diabetes were independent risk factors of nosocomial infection in elderly care centers (P < .05).Many factors can lead to nosocomial infections in elderly care centers. Medical staff should take effective intervention measures according to the influencing factors to reduce the risk of infection in elderly care facilities.

Research on the economic loss of hospital-acquired pneumonia caused by Klebsiella pneumonia base on propensity score matching

BACKGROUND

Hospital-acquired pneumonia (HAP) caused by Klebsiella pneumonia (KP) is a common nosocomial infection (NI). However, the reports on the economic burden of hospital-acquired pneumonia caused by Klebsiella pneumonia (KP-HAP) were scarce. The study aims to study the direct economic loss caused by KP-HAP with the method of propensity score matching (PSM) to provide a basis for the cost accounting of NI and provide references for the formulation of infection control measures.

METHODS

A retrospective investigation was conducted on the hospitalization information of all patients discharged from a tertiary group hospital in Shenzhen, Guangdong province, China, from June 2016 to August 2019. According to the inclusion and exclusion criteria, patients were divided into the HAP group and noninfection group, the extended-spectrum beta-lactamases (ESBLs) positive KP infection group, and the ESBLs-negative KP infection group. After the baselines of each group were balanced with the PSM, length of stay (LOS) and hospital cost of each group were compared.

RESULTS

After the PSM, there were no differences in the baselines of each group. Compared with the noninfection group, the median LOS in the KP-HAP group increased by 15 days (2.14 times), and the median hospital costs increased by 7329 yuan (0.89 times). Compared with the ESBLs-negative KP-HAP group, the median LOS in the ESBLs-positive KP-HAP group increased by 7.5 days (0.39 times), and the median hospital costs increased by 22,424 yuan (1.90 times).

CONCLUSION

KP-HAP prolonged LOS and increased hospital costs, and HAP caused by ESBLs-positive KP had more economic losses than ESBLs-negative, which deserves our attention and should be controlled by practical measures.

Prevalence and Predictive Factors for Nosocomial Infection in the Military Hospitals: A Systematic Review and Meta-Analysis

Background:

To assess prevalence and predictive factors for Nosocomial Infection (NI) in the military hospitals.

Methods:

PubMed, Scopus, Cochrane and PreQuest databases were systematically searched for studies published between Jan 1991 and Oct 2017 that reported the prevalence of NI and predictive factors among military hospitals. We performed the meta-analysis using a random effects model. Subgroup analysis was done for heterogeneity and the Egger test to funnel plots was used to assess publication bias.

Results:

Twenty-eight studies with 250,374 patients were evaluated in meta-analysis. The overall pooled estimate of the prevalence of NI was 8% (95% 6.0–9.0). The pooled prevalence was 2% (95% CI: 2.0–3.0) when we did sensitivity analysis and excluding a study. The prevalence was highest in burn unit (32%) and ICU (15%). Reported risk factors for NI included gender (male vs female, OR: 1.45), age (Age≥65, OR: 2.4), diabetes mellitus (OR: 2.32), inappropriate use of antibiotics (OR: 2.35), received mechanical support (OR: 2.81), co-morbidities (OR: 2.97), admitted into the ICU (OR: 2.26), smoking (OR: 1.36) and BMI (OR: 1.09).

Conclusion:

The review revealed a difference of prevalence in military hospitals with other hospitals and shows a high prevalence of NI in burn units. Therefore careful disinfection and strict procedures of infection control are necessary in places that serve immunosuppressed individuals such as burn patient. Moreover, a vision for the improvement of reports and studies in military hospitals to report the rate of these infections are necessary.

A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital

Healthcare-associated infections (HAI) represent one of the most common cause of infection and an important burden of disease. The aim of this study was to analyze the results of a six-year HAI point prevalence survey carried out yearly in a teaching acute care hospital from 2013 to 2018, following the European Center for Disease Prevention and Control (ECDC) guidelines. Surgical site infections, urinary tract infections, bloodstream infections, pneumonia, meningitis, and Clostridium difficile infections were considered as risk factors. A total of 328 patients with HAI were detected during the 6-year survey, with an average point prevalence of 5.24% (95% CI: 4.70-5.83%). Respiratory tract infections were the most common, followed by surgical site infections, urinary tract infections, primary bloodstream infections, Clostridium difficile infections, and central nervous system infections. A regression model showed length of stay at the moment of HAI detection, urinary catheter, central venous catheter, and antibiotic therapy to be the most important predictors of HAI prevalence, yielding a significant adjusted coefficient of determination (adjusted R2) of 0.2780. This will provide future infection control programs with specific HAI to focus on in order to introduce a proper prophylaxis and to limit exposure whenever possible.

Rate of the incidence of hospital-acquired infections in Iran based on the data of the national nosocomial infections surveillance

Hospital-acquired infections (HAIs) lead to increased length of hospital stay, inappropriate use of broad-spectrum antibiotics and multiple antibiotic resistance. This study aimed to investigate the rate of HAIs in Iran. In this multi-centre study, the rate of HAIs was calculated based on the data collected through Iranian nosocomial infections surveillance for patients with HAIs, as well as through hospital statistics and information systems on hospital-related variables. Data were analysed using Stata software; in addition, ArcGIS was used for plotting the geographical distribution of HAIs by different provinces. The mean age of the 107 669 patients affected by HAIs was 52 ± 26.71 years. Just over half (51.55%) of the patients were male. The overall rate of HAIs was 26.57 per 1000 patients and 7.41 per 1000 patient-days. The most common HAIs were urinary tract infections (26.83%; 1.99 per 1000 patient-days), ventilator-associated events (20.28%; 1.5 per 1000 patient-days), surgical-site infections (19.73%; 1.45 per 1000 patient-days) and bloodstream infections (13.51%; 1 per 1000 patient-days), respectively. The highest rate of HAIs was observed in intensive care units. Device, catheter and ventilator-associated infections accounted for 38.72%, 18.79% and 16% of all HAIs, respectively. Based on the results, HAIs are common in intensive care units, and urinary tract infections and device-related infections are more prevalent in Iran. To reduce HAIs it is recommended to implement appropriate policies and interventions, train staff about the use of devices, and prepare and update protocols and guidelines for improving the quality of care.

•

The overall rate of HAIs was 26.57 per 1000 patients and 7.41 per 1000 patient-days.

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Hospital-acquired infections are common in ICU wards, while UTIs and device-related infections are more prevalent in Iran.

•

Device, catheter and ventilator-associated infections accounted for 38.72, 18.79%, and 16% of all HAIs, respectively.

Prevalence of healthcare-associated infections and antimicrobial use among inpatients in a tertiary hospital in Fiji: a point prevalence survey

Background

Healthcare-associated infections (HAIs) and antimicrobial use (AMU) are important drivers of antimicrobial resistance, yet there is minimal data from the Pacific region. We sought to determine the point prevalence of HAIs and AMU at Fiji’s largest hospital, the Colonial War Memorial Hospital (CWMH) in Suva. A secondary aim was to evaluate the performance of European Centre for Diseases Prevention and Control (ECDC) HAI criteria in a resource-limited setting.

Methods

We conducted a point prevalence survey of HAIs and AMU at CWMH in October 2019. Survey methodology was adapted from the ECDC protocol. To evaluate the suitability of ECDC HAI criteria in our setting, we augmented the survey to identify patients with a clinician diagnosis of a HAI where diagnostic testing criteria were not met. We also assessed infection prevention and control (IPC) infrastructure on each ward.

Results

We surveyed 343 patients, with median (interquartile range) age 30 years (16–53), predominantly admitted under obstetrics/gynaecology (94, 27.4%) or paediatrics (83, 24.2%). Thirty patients had one or more HAIs, a point prevalence of 8.7% (95% CI 6.0% to 12.3%). The most common HAIs were surgical site infections (n = 13), skin and soft tissue infections (7) and neonatal clinical sepsis (6). Two additional patients were identified with physician-diagnosed HAIs that failed to meet ECDC criteria due to insufficient investigations. 206 (60.1%) patients were receiving at least one antimicrobial. Of the 325 antimicrobial prescriptions, the most common agents were ampicillin (58/325, 17.8%), cloxacillin (55/325, 16.9%) and metronidazole (53/325, 16.3%). Use of broad-spectrum agents such as piperacillin/tazobactam (n = 6) and meropenem (1) was low. The majority of prescriptions for surgical prophylaxis were for more than 1 day (45/76, 59.2%). Although the number of handwashing basins throughout the hospital exceeded World Health Organization recommendations, availability of alcohol-based handrub was limited and most concentrated within high-risk wards.

Conclusions

The prevalence of HAIs in Fiji was similar to neighbouring high-income countries, but may have been reduced by the high proportion of paediatric and obstetrics patients, or by lower rates of inpatient investigations. AMU was very high, with duration of surgical prophylaxis an important target for future antimicrobial stewardship initiatives.

Rapid screening and characterization of bacteria associated with hospital cockroaches (Blattella germanica L.) using MALDI-TOF mass spectrometry

AIMS

The study aimed to explore the diversity of culturable microbiota colonizing the alimentary tract and outer surfaces of German cockroaches (Blattella germanica) captured in a health care facility.

METHODS AND RESULTS

Microbial identification was conducted using Matrix Assisted Laser Desorption-Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) Biotyper and 16S rRNA sequencing. A total of 181 bacteria strains were isolated from 25 cockroach specimens and the MALDI-TOF MS-based assay yielded direct identification of 96·5% (175 out of 181) of the strains at the species level. The proteomic fingerprinting mainly revealed strains belonged to Gram-negative Enterobacteria (103) with six different genera that were characterized including Citrobacter, Klebsiella, Kluyevera, Leclercia, Morganella and Serratia. In addition, Pseudomonas sp. strains ranked in second with 29·8% (54 strains) followed by Staphylococcus sp. (6·62%) and Enterococcus sp. (1·65%). A large number of these bacteria (n = 90, 49·72%) was found in cockroaches captured in the maternity ward, whereas 45 strains (24·8%) were recovered in the paediatric ward. Altogether, 24 bacterial species were identified from both the external surface and digestive tract of the insect, of which Serratia marcescens presented the major group (n = 80, 44·19%) followed by Pseudomonas aeruginosa (n = 53, 29·28%) and Klebsiella oxytoca (n = 9, 4·94%).

CONCLUSION

The findings showed a high prevalence of bacterial pathogens harboured in the body and alimentary tract of B. germanica captured in a health care facility.

SIGNIFICANCE AND IMPACT OF THE STUDY

This investigation shows the possible role of German cockroaches as a source for bacterial pathogens, increasing the likelihood of direct transmission of healthcare associated infections, and thereby representing a public health risk. In addition, the present study revealed a high discriminatory power of the mass spectra investigation and a competent bacterial typing tool that extends phenotypic and genotypic approaches, which allows new possibilities for fast and accurate diagnosis in medical entomology.

Point-prevalence surveys of hospital-acquired infections in a Chinese cancer hospital: From 2014 to 2018

BACKGROUND

Both hospital-acquired infection (HAI) and cancer represents major health concerns worldwide, but there is a paucity of data describing HAI in Chinese cancer patients. The objective of this study is to demonstrate the prevalence, causative agents, antimicrobial use and risk factors for HAI in a cancer hospital in Southwestern China.

METHODS

We use the criteria of the Ministry of Health of the People's Republic of China to define hospital-acquired infections. One-day cross-sectional surveys were annually conducted from 2014 to 2018. Trained staff collected hospital-acquired infections, antimicrobial use and clinical characteristics data of inpatients. Multivariate logistic regression was used to determine the potential risk factors associated with HAIs.

RESULTS

Of the 6717 patients surveyed, there were 140 patients (2.1%, 95% confidence interval, 1.7-2.4%) with 144 distinct HAIs. Lower respiratory tract infections (47, 32.6%) and surgical-site infections (29, 20.1%) were the most common HAIs. Escherichia coli was the most common pathogen (29.6%). Risk factors for HAI included younger age (<18 years) or older age (>65 years), hospitalization in the intensive care unit, presence of central catheter and undergoing surgery in the previous 30 days. The overall prevalence of patients receiving antimicrobial agents was 15.2%.

CONCLUSION

To control hospital-acquired infections in cancer patients, surveillance and prevention strategies to infections associated with central catheters or related to surgery should be augmented.

The incidence and prevalence of hospital-acquired (carbapenem-resistant) Acinetobacter baumannii in Europe, Eastern Mediterranean and Africa: a systematic review and meta-analysis

Due to therapeutic challenges, hospital-acquired infections (HAIs) caused by Acinetobacter baumannii (HA-AB), particularly carbapenem-resistant strains (HA-CRAB) pose a serious health threat to patients worldwide. This systematic review sought to summarize recent data on the incidence and prevalence of HA-AB and HA-CRAB infections in the WHO-defined regions of Europe (EUR), Eastern Mediterranean (EMR) and Africa (AFR). A comprehensive literature search was performed using MEDLINE, EMBASE and GMI databases (01/2014-02/2019). Random-effects meta-analyses were performed to determine the pooled incidence of HA-AB and HA-CRAB infections as well as the proportions of A. baumannii among all HAIs. 24 studies from 3,340 records were included in this review (EUR: 16, EMR: 6, AFR: 2). The pooled estimates of incidence and incidence density of HA-AB infection in intensive care units (ICUs) were 56.5 (95% CI 33.9-92.8) cases per 1,000 patients and 4.4 (95% CI 2.9-6.6) cases per 1,000 patient days, respectively. Five studies conducted at a hospital-wide level or in specialized clinical departments/wards (ICU + non-ICU patients) showed HA-AB incidences between 0.85 and 5.6 cases per 1,000 patients. For carbapenem-resistant A. baumannii infections in ICUs, the pooled incidence and incidence density were 41.7 (95% CI 21.6-78.7) cases per 1,000 patients and 2.1 (95% CI 1.2-3.7) cases per 1,000 patient days, respectively. In ICUs, A. baumannii and carbapenem-resistant A. baumannii strains accounted for 20.9% (95% CI 16.5-26.2%) and 13.6% (95% CI 9.7-18.7%) of all HAIs, respectively. Our study highlights the persistent clinical significance of hospital-acquired A. baumannii infections in the studied WHO regions, particularly in ICUs.

Estimating extra length of stay and risk factors of mortality attributable to healthcare-associated infection at a Chinese university hospital: a multi-state model

Background

The current evidence of extra length of stay (LOS) attributable to healthcare-associated infection (HCAI) scarcely takes time-dependent bias into consideration. Plus, limited evidences were from developing countries. We aim to estimate the extra LOS and risk factors of mortality attributable to HCAI for inpatients.

Methods

Multi-state model (MSM) was adopted to estimate the extra LOS attributable to HCAI of each type and subgroup. COX regression model was used to examine the risk of mortality.

Results

A total of 51,691 inpatients were included and 1709 (3.31%) among them developed HCAI. Lower respiratory tract infection and Acinetobacter baumannii were the most prevalent HCAI and causative pathogen in surveyed institute. Generally, the expected extra LOS attributable to HCAI was 2.56 days (95% confidence interval: 2.54–2.61). Patients below 65 had extra LOS attributable to HCAI longer about 2 days than those above. The extra LOS attributable to HCAI of male patients was 1.33 days longer than female. Meanwhile, age above 65 years old and HCAI were the risk factors of mortality for inpatients.

Conclusions

HCAI contributes to an increase in extra LOS of inpatients in China. The effect of HCAI on extra LOS is different among subgroups, with the age below 65, male and medicine department more sensitive.

Prevalence of healthcare-associated infections and antimicrobial use in China: Results from the 2018 point prevalence survey in 189 hospitals in Guangdong Province

BACKGROUND

Limited data on healthcare-associated infections (HAIs) are available from the developing world, thus a point prevalence survey was conducted to determine the prevalence of HAIs and antimicrobial use in Guangdong Province, China.

METHODS

A standardized methodology for point prevalence surveys on HAIs and antimicrobial use has been developed by the Chinese Nosocomial Infection Control and Quality Improvement Center. The prevalence of HAIs, antimicrobial use, and baseline hospital-level variables were collected in 189 hospitals from June 2017 to May 2018.

RESULTS

Of 5 868 147 patients, 72 976 had one or more HAIs (1.24%), with 82 700 distinct HAIs. The prevalence rates of device-associated infections, including ventilator-associated pneumonia, catheter-associated urinary tract infection, and central line-associated bloodstream infection were 7.92, 2.06, and 0.63 per 1000 catheter-days, respectively. A total of 10 591 (0.18%) HAIs caused by multidrug-resistant organisms were identified. Carbapenem non-susceptibility rates were highest in Acinetobacter species (53.86%) and Pseudomonas aeruginosa (21.60%). Forty-six percent (2 712 258/5 868 147) of inpatients were receiving at least one antimicrobial during this survey.

CONCLUSIONS

This survey indicated the relatively lower prevalence of HAIs but higher antimicrobial using in Guangdong Province compared with other mid to low-income and high-income countries. Further studies are warranted to elucidate which HAI-related indicators are the best measures of HAI performance and thus allow improvements leading to better patient outcomes.

Condition-specific surveillance in health care-associated urinary tract infections as a strategy to improve empirical antibiotic treatment: an epidemiological modelling study

Background

Health care-associated urinary tract infection (HAUTI) consists of unique conditions (cystitis, pyelonephritis and urosepsis). These conditions could have different pathogen diversity and antibiotic resistance impacting on the empirical antibiotic choices. The aim of this study is to compare the estimated chances of coverage of empirical antibiotics between conditions (cystitis, pyelonephritis and urosepsis) in urology departments from Europe.

Methods

A mathematical modelling based on antibiotic susceptibility data from a point prevalence study was carried. Data were obtained for HAUTI patients from multiple urology departments in Europe from 2006 to 2017. The primary outcome of the study is the Bayesian weighted incidence syndromic antibiogram (WISCA) and Bayesian factor. Bayesian WISCA is the estimated chance of an antibiotic to cover the causative pathogens when used for first-line empirical treatment. Bayesian factor is used to compare if HAUTI conditions did or did not impact on empirical antibiotic choices.

Results

Bayesian WISCA of antibiotics in European urology departments from 2006 to 2017 ranged between 0.07 (cystitis, 2006, Amoxicillin) to 0.89 (pyelonephritis, 2009, Imipenem). Bayesian WISCA estimates were lowest in urosepsis. Clinical infective conditions had an impact on the Bayesian WISCA estimates (Bayesian factor > 3 in 81% of studied antibiotics). The main limitation of the study is the lack of local data.

Conclusions

Our estimates illustrate that antibiotic choices can be different between HAUTI conditions. Findings can improve empirical antibiotic selection towards a personalized approach but should be validated in local surveillance studies.

Electronic supplementary material

The online version of this article (10.1007/s00345-019-02963-9) contains supplementary material, which is available to authorized users.

Complication and Failures of Central Vascular Access Device in Adult Critical Care Settings

OBJECTIVES

To examine the proportion and rate of central venous access device failure and complications across central venous access device types in adult intensive care.

DATA SOURCES

A systematic search was undertaken in the electronic databases Cochrane Central Register of Controlled Trials, Embase, U.S. National Library of Medicine National Institutes of Health, and Cumulative Index to Nursing and Allied Health in September 2017.

STUDY SELECTION

Included studies were of observational (prospective and retrospective) or interventional design and reported central venous access device failure and complications in adult ICU settings. Studies were excluded if they were published prior to November 2006 or not reported in English. Two reviewers independently screened articles, assessed eligibility, extracted data, and assessed risk of bias.

DATA EXTRACTION

Data were extracted on the primary outcome, central venous access device failure, and secondary outcomes: central venous access device complications (central line-associated bloodstream infection, catheter-related bloodstream infection, catheter-related thrombosis, occlusion, catheter removal due to suspected infection, dislodgement, breakage, and local infection). Patient and device data and study details to assess the study quality were also extracted.

DATA SYNTHESIS

A total of 63 studies involving 50,000 central venous access devices (396,951 catheter days) were included. Central venous access device failure was 5% (95% CI, 3-6%), with the highest rates and proportion of failure in hemodialysis catheters. Overall central line-associated bloodstream infection rate was 4.59 per 1,000 catheter days (95% CI, 2.31-6.86), with the highest rate in nontunneled central venous access devices. Removal of central venous access device due to suspected infection was high (17%; 20.4 per 1,000 catheter days; 95% CI, 15.7-25.2).

CONCLUSIONS

Central venous access device complications and device failure is a prevalent and significant problem in the adult ICU, leading to substantial patient harm and increased healthcare costs. The high proportion of central venous access devices removed due to suspicion of infection, despite low overall central line-associated bloodstream infection and catheter-related bloodstream infection rates, indicates a need for robust practice guidelines to inform decision-making surrounding removal of central venous access devices suspected of infection.

An interactive nomogram to predict healthcare-associated infections in ICU patients: A multicenter study in GuiZhou Province, China

Objective

To develop and validate an interactive nomogram to predict healthcare-associated infections (HCAIs) in the intensive care unit (ICU).

Methods

A multicenter retrospective study was conducted to review 2017 data from six hospitals in Guizhou Province, China. A total of 1,782 ICU inpatients were divided into either a training set (n = 1,189) or a validation set (n = 593). The patients’ demographic characteristics, basic clinical features from the previous admission, and their need for bacterial culture during the current admission were extracted from electronic medical records of the hospitals to predict HCAI. Univariate and multivariable analyses were used to identify independent risk factors of HCAI in the training set. The multivariable model’s performance was evaluated in both the training set and the validation set, and an interactive nomogram was constructed according to multivariable regression model. Moreover, the interactive nomogram was used to predict the possibility of a patient developing an HCAI based on their prior admission data. Finally, the clinical usefulness of the interactive nomogram was estimated by decision analysis using the entire dataset.

Results

The nomogram model included factor development (local economic development levels), length of stay (LOS; days of hospital stay), fever (days of persistent fever), diabetes (history of diabetes), cancer (history of cancer) and culture (the need for bacterial culture). The model showed good calibration and discrimination in the training set [area under the curve (AUC), 0.871; 95% confidence interval (CI), 0.848–0.894] and in the validation set (AUC, 0.862; 95% CI, 0.829–0.895). The decision curve demonstrated the clinical usefulness of our interactive nomogram.

Conclusions

The developed interactive nomogram is a simple and practical instrument for quantifying the individual risk of HCAI and promptly identifying high-risk patients.

Prevalence of antimicrobial use and active healthcare-associated infections in acute care hospitals: a multicentre prevalence survey in Japan

OBJECTIVE

To determine the prevalence of antimicrobial drug use and active healthcare-associated infections (HAIs) and to evaluate the appropriateness of antimicrobial therapy in acute care hospitals in Japan.

DESIGN

A prospective multicentre cross-sectional study.

PARTICIPANTS

All hospitalised patients on a survey day.

MAIN OUTCOME MEASURES

The primary outcome was the proportion of patients receiving any antimicrobial agents. The secondary outcome was the proportion of patients with active HAIs. The reasons for antimicrobial drug use and appropriateness of antibiotic therapy were also investigated.

RESULTS

Eight hundred twenty eligible patients were identified. The median patient age was 70 years (IQR 55-80); 380 (46.3%) were women, 150 (18.3%) had diabetes mellitus and 107 (13.1%) were immunosuppressive medication users. The proportion of patients receiving any antimicrobial drugs was 33.5% (95% CI 30.3% to 36.8%). The proportion of patients with active HAIs was 7.4% (95% CI 5.6% to 9.2%). A total of 327 antimicrobial drugs were used at the time of the survey. Of those, 163 (49.8%), 101 (30.9%) and 46 (14.1%) were used for infection treatment, surgical prophylaxis and medical prophylaxis, respectively. The most commonly used antimicrobial drugs for treatment were ceftriaxone (n=25, 15.3%), followed by piperacillin-tazobactam (n=22, 13.5%) and cefmetazole (n=13, 8.0%). In the 163 antimicrobial drugs used for infection treatment, 62 (38.0%) were judged to be inappropriately used.

CONCLUSIONS

The prevalence of antimicrobial use and active HAIs and the appropriateness of antimicrobial therapy in Japan were similar to those of other developed countries. A strategy to improve the appropriateness of antimicrobial therapy provided to hospitalised patients is needed.

TRIAL REGISTRATION NUMBER

UMIN000033568.

Point prevalence surveys of health-care-associated infections: a systematic review

Health-care-associated infections (HAIs) are considered a serious public health issues that contribute substantially to the global burden of mortality and morbidity with respect to infectious diseases. The aim is to assess the burden of health-care-associated infections by collation of available data from published point prevalence surveys (PPS) on HAIs to give future guidance. Study protocol and methodology were designed according to preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. Published research papers that conducted a point prevalence survey of HAIs in hospital settings by following the structured survey methodology employed by European Centre of Disease Prevention and Control (ECDC) were included. Of 1212 articles, 67 studies were included in the final analysis conducted across different countries. Overall, 35 studies were conducted in Europe, 21 in Asia, 9 in America, and 2 in Africa. The highest prevalence of HAIs was recorded in a study conducted in adult ICU settings of 75 regions of Europe (51.3%). The majority of the studies included HAI data on urinary tract infections, respiratory tract infections, and bloodstream infections. Klebsiella pneumonia, Pseudomonas aeruginosa and E. coli were the most frequent pathogens responsible for HAIs. PPS is an useful tool to quantify HAIs and provides a robust baseline data for policymakers. However, a standardize surveillance method is required. In order to minimize the burden of HAIs, infection prevention and control programs and antibiotic stewardship may be effective strategies to minimize the risk of HAIs.

Burden of healthcare-associated infections at six tertiary-care hospitals in Saudi Arabia: A point prevalence survey

A point prevalence survey was conducted on May 11, 2017, among inpatients at 6 hospitals in Saudi Arabia. The overall point prevalence was 6.8% (114 of 1,666). The most common types of infections were pneumonia (27.2%), urinary tract infections (20.2%), and bloodstream infections (10.5%). Approximately 19.2% of healthcare-associated infections were device associated.

An 8-year point-prevalence surveillance of healthcare-associated infections and antimicrobial use in a tertiary care teaching hospital in China

Healthcare-associated infections (HAIs) are a major worldwide public-health problem, but less data are available on the long-term trends of HAIs and antimicrobial use in Eastern China. This study describes the prevalence and long-term trends of HAIs and antimicrobial use in a tertiary care teaching hospital in Hefei, Anhui, China from 2010 to 2017 based on annual point-prevalence surveys. A total of 12 505 inpatients were included; 600 HAIs were recorded in 533 patients, with an overall prevalence of 4.26% and a frequency of 4.80%. No evidence was found for an increasing or decreasing trend in prevalence of HAI over 8 years (trend χ² = 2.15, P = 0.143). However, significant differences in prevalence of HAI were evident between the surveys (χ² = 21.14, P < 0.001). The intensive care unit had the highest frequency of HAIs (24.36%) and respiratory tract infections accounted for 62.50% of all cases; Escherichia coli was the most common pathogen (16.67%). A 44.13% prevalence of antimicrobial use with a gradually decreasing trend over time was recorded. More attention should be paid to potential high-risk clinical departments and HAI types with further enhancement of rational antimicrobial use.

The Prevalence of Healthcare-Associated Infections in Mainland China: A Systematic Review and Meta-analysis

OBJECTIVE

To assess the prevalence of healthcare-associated infections (HAIs) in mainland China.

DESIGN

Systematic review and meta-analysis.

SETTING

Adults and children from secondary and tertiary acute-care hospitals in mainland China.

METHODS

We searched PubMed, the China National Knowledge Infrastructure, and Wan Fang for multicenter point-prevalence surveys of acute-care hospitals in mainland China from January 2006 to August 2016. All reports related to HAI, using a point-prevalence methodology and published either in English or Chinese were eligible.

RESULTS

In total, 3,021 publications were identified; 115 were eligible for quality assessment and data abstraction. The weighted HAI prevalence (95% confidence interval [CI]) overall, in general hospitals, children’s hospitals, maternal and child health hospitals, and oncology hospitals were 3.12% (95% CI, 2.94%–3.29%), 3.02% (95% CI, 2.79%–3.26%), 4.43% (95% CI, 3.39%–5.47%), 1.88% (95% CI, 1.47%–2.29%), and 3.96% (95% CI, 3.12%–4.79%), respectively. In general hospitals, prevalence was highest in adult intensive care units (26.07%; 95% CI, 23.03%–29.12%), followed by surgery (3.26%; 95% CI, 2.96%–3.57%), and internal medicine (3.06%; 95% CI, 2.67%–3.46%). Overall, lower respiratory tract infection was the most frequent HAI (24,185, 47.28%), followed by urinary tract infection (5,773, 11.29%) and upper respiratory tract infection (5,194, 10.15%). Gram-negative bacilli were the most frequently isolated pathogens, and Pseudomonas aeruginosa (3,395, 14.91%), and Escherichia coli (2,918, 12.82%) were the most common single microorganisms.

CONCLUSIONS

This study is the largest systematic review on the prevalence of HAI in mainland China. These results provide a benchmark for future PPSs and a reference for infection prevention and control strategies in mainland China.

Infect Control Hosp Epidemiol 2018;39:701–709

Resistance Trends and Treatment Options in Gram-Negative Ventilator-Associated Pneumonia

PURPOSE OF REVIEW

Hospital-acquired and ventilator-associated pneumonia (VAP) are frequent causes of infection among critically ill patients. VAP is the most common hospital-acquired bacterial infection among mechanically ventilated patients. Unfortunately, many of the nosocomial Gram-negative bacteria that cause VAP are increasingly difficult to treat. Additionally, the evolution and dissemination of multi- and pan-drug resistant strains leave clinicians with few treatment options. VAP patients represent a dynamic population at risk for antibiotic failure and under-dosing due to altered antibiotic pharmacokinetic parameters. Since few antibiotic agents have been approved within the last 15 years, and no new agents specifically targeting VAP have been approved to date, it is anticipated that this problem will worsen. Given the public health crisis posed by resistant Gram-negative bacteria, it is essential to establish a firm understanding of the current epidemiology of VAP, the changing trends in Gram-negative resistance in VAP, and the current issues in drug development for Gram-negative bacteria that cause VAP.

RECENT FINDINGS

Rapid identification technologies and phenotypic methods, new therapeutic strategies, and novel treatment paradigms have evolved in an attempt to improve treatment outcomes for VAP; however, clinical data supporting alternative treatment strategies and adjunctive therapies remain sparse. Importantly, new classes of antimicrobials, novel virulence factor inhibitors, and beta-lactam/beta-lactamase inhibitor combinations are currently in development. Conscientious stewardship of new and emerging therapeutic agents will be needed to ensure they remain effective well into the future.

Recent advances on topical antimicrobials for skin and soft tissue infections and their safety concerns

Antimicrobial resistance of disease-related microorganisms is considered a worldwide prevalent and serious issue which increases the failure of treatment outcomes and leads to high mortality. Considering that the increased resistance to systemic antimicrobial therapy often needs of the use of more toxic agents, topical antimicrobial therapy emerges as an attractive route for the treatment of infectious diseases. The topical antimicrobial therapy is based on the absorption of high drug doses in a readily accessible skin surface, resulting in a reduction of microbial proliferation at infected skin sites. Topical antimicrobials retain the following features: (a) they are able to escape the enzymatic degradation and rapid clearance in the gastrointestinal tract or the first-pass metabolism during oral administration; (b) alleviate the physical discomfort related to intravenous injection; (c) reduce possible adverse effects and drug interactions of systemic administrations; (d) increase patient compliance and convenience; and (e) reduce the treatment costs. Novel antimicrobials for topical application have been widely exploited to control the emergence of drug-resistant microorganisms. This review provides a description of antimicrobial resistance, common microorganisms causing skin and soft tissue infections, topical delivery route of antimicrobials, safety concerns of topical antimicrobials, recent advances, challenges and future prospective in topical antimicrobial development.

Predicting nosocomial lower respiratory tract infections by a risk index based system

Although belonging to one of the most common type of nosocomial infection, there was currently no simple prediction model for lower respiratory tract infections (LRTIs). This study aims to develop a risk index based system for predicting nosocomial LRTIs based on data from a large point-prevalence survey. Among the 49328 patients included, the prevalence of nosocomial LRTIs was 1.70% (95% confidence interval [CI], 1.64% to 1.76%). The areas under the receiver operating characteristic (ROC) curve for logistic regression and fisher discriminant analysis were 0.907 (95% CI, 0.897 to 0.917) and 0.902 (95% CI, 0.892 to 0.912), respectively. The constructed risk index based system also displayed excellent discrimination (area under the ROC curve: 0.905 [95% CI, 0.895 to 0.915]) to identify LRTI in internal validation. Six risk levels were generated according to the risk score distribution of study population, ranging from 0 to 5, the corresponding prevalence of nosocomial LRTIs were 0.00%, 0.39%, 3.86%, 12.38%, 28.79% and 44.83%, respectively. The sensitivity and specificity of prediction were 0.87 and 0.79, respectively, when the best cut-off point of risk score was set to 14. Our study suggested that this newly constructed risk index based system might be applied to boost more rational infection control programs in clinical settings.