Estimating attributable mortality due to nosocomial infections acquired in intensive care units

Investigation on the contaminate of hand washing activities on the surface of environmental objects in intensive care unit

To detect the contaminate of faucets in hospitals and the splash during hand washing, and to explore the reasonable layout of hand washing pools. Two faucets with roughly the same spatial layout in the ICU of a third-class first-class general hospital were selected, and the farthest splashing distance and specific splashing points were measured by color paper. Samples were detected by ATP detection technology and routine microbial detection method, and the contaminate of faucets was analyzed. After 72 h of daily hand-washing activities, the furthest distance to the splash point was about 100 cm around the faucet, and the place 40-110 cm around the faucet was contaminated seriously. The farthest distance that the splash point reached was about 80 cm around the faucet with the center of the circle, and the area 40-60 cm around the faucet was heavily contaminated. The distance from the water outlet of the long handle and the short handle faucet to the detection point had a high negative correlation (r = - 0.811, P < 0.001) and a moderate negative correlation (r =  - 0.475, P = 0.001) with the number of splash points, respectively. The qualified rates of ATP detection and microbial culture were 25% and 15%, respectively. Pseudomonas aeruginosa, Staphylococcus epidermidis, and other pathogenic bacteria were detected in the water outlet of the faucet and the surrounding environment. Safe hand hygiene facilities are one of the important guarantees of hand hygiene effect. Clean objects and objects related to patients should not be placed within 1 m range near the water outlet of faucet. Anti-splash baffle should be installed as much as possible when conditions permit to reduce the contaminate caused by splash during hand washing.

Use of Immune Profiling Panel to assess the immune response of septic patients for prediction of worsening as a composite endpoint

Sepsis induces intense, dynamic and heterogeneous host response modulations. Despite improvement of patient management, the risk of mortality and healthcare-associated infections remains high. Treatments to counterbalance immune response are under evaluation, but effective biomarkers are still lacking to perform patient stratification. The design of the present study was defined to alleviate the limitations of existing literature: we selected patients who survived the initial hyperinflammatory response and are still hospitalized at day 5-7 after ICU admission. Using the Immune Profiling Panel (IPP), a fully automated RT-qPCR multiplex prototype, we optimized a machine learning model combining the IPP gene expression levels for the identification of patients at high risk of worsening, a composite endpoint defined as death or secondary infection, within one week after sampling. This was done on 332 sepsis patients selected from two retrospective studies. The IPP model identified a high-risk group comprising 30% of patients, with a significant increased proportion of worsening events at day 28 compared to the low-risk group (49% vs. 28%, respectively). These preliminary results underline the potential clinical application of IPP for sepsis patient stratification in a personalized medicine perspective, that will be confirmed in a larger prospective multicenter study.

Distribution of pathogens and antimicrobial resistance in ICU-bloodstream infections during hospitalization: a nationwide surveillance study

Changing microorganism distributions and decreasing antibiotic susceptibility over the duration of hospitalization have been described for the colonization or infection of selected organ systems. Few data are available on bacteremias in the intensive care unit (ICU) setting. We conducted a nationwide study on bloodstream infection (BSI) using data from the Swiss Centre for Antibiotic Resistance (ANRESIS). We analyzed data on BSI detected in the ICU from hospitals that sent information on a regular basis during the entire study period (2008–2017). We described specific trends of pathogen distribution and resistance during hospitalization duration. We included 6505 ICU- BSI isolates from 35 Swiss hospitals. We observed 2587 possible skin contaminants, 3788 bacteremias and 130 fungemias. The most common microorganism was Escherichia coli (23.2%, 910), followed by Staphylococcus aureus (18.7%, 734) and enterococci (13.1%, 515). Enterococcus spp (p < 0.0001) and Candida spp (p < 0.0001) increased in proportion, whereas E. coli (p < 0.0001) and S. aureus (p < 0.0001) proportions decreased during hospitalization. Resistances against first- and second-line antibiotics increased linearly during hospitalization. Pathogen distribution and antimicrobial resistance in ICU-BSI depends on the duration of the hospitalization. The proportion of enterococcal BSI, candidemia and resistant microorganisms against first- and second-line antibiotics increased during hospitalization.

A scoping review of registry captured indicators for evaluating quality of critical care in ICU

BACKGROUND

Excess morbidity and mortality following critical illness is increasingly attributed to potentially avoidable complications occurring as a result of complex ICU management (Berenholtz et al., J Crit Care 17:1-2, 2002; De Vos et al., J Crit Care 22:267-74, 2007; Zimmerman J Crit Care 1:12-5, 2002). Routine measurement of quality indicators (QIs) through an Electronic Health Record (EHR) or registries are increasingly used to benchmark care and evaluate improvement interventions. However, existing indicators of quality for intensive care are derived almost exclusively from relatively narrow subsets of ICU patients from high-income healthcare systems. The aim of this scoping review is to systematically review the literature on QIs for evaluating critical care, identify QIs, map their definitions, evidence base, and describe the variances in measurement, and both the reported advantages and challenges of implementation.

METHOD

We searched MEDLINE, EMBASE, CINAHL, and the Cochrane libraries from the earliest available date through to January 2019. To increase the sensitivity of the search, grey literature and reference lists were reviewed. Minimum inclusion criteria were a description of one or more QIs designed to evaluate care for patients in ICU captured through a registry platform or EHR adapted for quality of care surveillance.

RESULTS

The search identified 4780 citations. Review of abstracts led to retrieval of 276 full-text articles, of which 123 articles were accepted. Fifty-one unique QIs in ICU were classified using the three components of health care quality proposed by the High Quality Health Systems (HQSS) framework. Adverse events including hospital acquired infections (13.7%), hospital processes (54.9%), and outcomes (31.4%) were the most common QIs identified. Patient reported outcome QIs accounted for less than 6%. Barriers to the implementation of QIs were described in 35.7% of articles and divided into operational barriers (51%) and acceptability barriers (49%).

CONCLUSIONS

Despite the complexity and risk associated with ICU care, there are only a small number of operational indicators used. Future selection of QIs would benefit from a stakeholder-driven approach, whereby the values of patients and communities and the priorities for actionable improvement as perceived by healthcare providers are prioritized and include greater focus on measuring discriminable processes of care.

A prospective multicentre surveillance study to investigate the risk associated with contaminated sinks in the intensive care unit

OBJECTIVES

The aim was to assess the incidence of sink contamination by multidrug-resistant (MDR) Pseudomonas aeruginosa and Enterobacteriaceae, risk factors for sink contamination and splashing, and their association with clinical infections in the intensive care setting.

METHODS

A prospective French multicentre study (1 January to 30 May 2020) including in each intensive care unit (ICU) a point-prevalence study of sink contamination, a questionnaire of risk factors for sink contamination (sink use, disinfection procedure) and splashing (visible plashes, distance and barrier between sink and bed), and a 3-month prospective infection survey.

RESULTS

Seventy-three ICUs participated in the study. In total, 50.9% (606/1191) of the sinks were contaminated by MDR bacteria: 41.0% (110/268) of the sinks used only for handwashing, 55.3% (510/923) of those used for waste disposal, 23.0% (62/269) of sinks daily bleached, 59.1% (126/213) of those daily exposed to quaternary ammonium compounds (QACs) and 62.0% (285/460) of those untreated; 459 sinks (38.5%) showed visible splashes and 30.5% (363/1191) were close to the bed (<2 m) with no barrier around the sink. MDR-associated bloodstream infection incidence rates ≥0.70/1000 patient days were associated with ICUs meeting three or four of these conditions, i.e. a sink contamination rate ≥51%, prevalence of sinks with visible splashes ≥14%, prevalence of sinks close to the patient's bed ≥21% and no daily bleach disinfection (6/30 (20.0%) of the ICUs with none, one or two factors vs. 14/28 (50.0%) of the ICUs with three or four factors; p 0.016).

DISCUSSION

Our data showed frequent and multifactorial infectious risks associated with contaminated sinks in ICUs.

A neural network for prediction of risk of nosocomial infection at intensive care units: a didactic preliminary model

OBJECTIVE

To propose a preliminary artificial intelligence model, based on artificial neural networks, for predicting the risk of nosocomial infection at intensive care units.

METHODS

An artificial neural network is designed that employs supervised learning. The generation of the datasets was based on data derived from the Japanese Nosocomial Infection Surveillance system. It is studied how the Java Neural Network Simulator learns to categorize these patients to predict their risk of nosocomial infection. The simulations are performed with several backpropagation learning algorithms and with several groups of parameters, comparing their results through the sum of the squared errors and mean errors per pattern.

RESULTS

The backpropagation with momentum algorithm showed better performance than the backpropagation algorithm. The performance improved with the xor. README file parameter values compared to the default parameters. There were no failures in the categorization of the patients into their risk of nosocomial infection.

CONCLUSION

While this model is still based on a synthetic dataset, the excellent performance observed with a small number of patterns suggests that using higher numbers of variables and network layers to analyze larger volumes of data can create powerful artificial neural networks, potentially capable of precisely anticipating nosocomial infection at intensive care units. Using a real database during the simulations has the potential to realize the predictive ability of this model.

Human Factors Engineering Contributions to Infection Prevention and Control

OBJECTIVE

This article provides a review of areas that present significant challenges in infection prevention and control and describes human factors engineering (HFE) approaches that have been applied successfully to these areas. In addition, implications and recommendations for HFE use in future research are discussed.

BACKGROUND

Infection prevention and control aims to prevent patients and health care personnel from acquiring preventable infections in healthcare. Effective infection control practices of healthcare-associated infections have recently become even more critical with the emergence of life-threatening infections. HFE could benefit infection prevention and control in addressing older and more recent challenges, but uptake has been limited.

METHOD/RESULTS

This literature review is an integration and synthesis of recently published research that describes HFE-based approaches in infection prevention and control to address the challenges for three specific topics. The results of the review suggests that HFE is in a position to support work in infection prevention and control and improve overall healthcare safety.

CONCLUSION

HFE provides conceptual frameworks and methods that have significant potential to improve infection prevention and control.

APPLICATION

The work reviewed can provide potential solutions for current infection prevention and control challenges by applying HFE based recommendations.

Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge: addressing time-varying confounding using appropriate methodology

BACKGROUND

Studies often ignore time-varying confounding or may use inappropriate methodology to adjust for time-varying confounding.

AIM

To estimate the effect of intensive care unit (ICU)-acquired bacteraemia on ICU mortality and discharge using appropriate methodology.

METHODS

Marginal structural models with inverse probability weighting were used to estimate the ICU mortality and discharge associated with ICU-acquired bacteraemia among patients who stayed more than two days at the general ICU of a London teaching hospital and remained bacteraemia-free during those first two days. For comparison, the same associations were evaluated with (i) a conventional Cox model, adjusting only for baseline confounders and (ii) a Cox model adjusting for baseline and time-varying confounders.

FINDINGS

Using the marginal structural model with inverse probability weighting, bacteraemia was associated with an increase in ICU mortality (cause-specific hazard ratio (CSHR): 1.29; 95% confidence interval (CI): 1.02-1.63) and a decrease in discharge (CSHR: 0.52; 95% CI: 0.45-0.60). By 60 days, among patients still in the ICU after two days and without prior bacteraemia, 8.0% of ICU deaths could be prevented by preventing all ICU-acquired bacteraemia cases. The conventional Cox model adjusting for time-varying confounders gave substantially different results [for ICU mortality, CSHR: 1.08 (95% CI: 0.88-1.32); for discharge, CSHR: 0.68 (95% CI: 0.60-0.77)].

CONCLUSION

In this study, even after adjusting for the timing of acquiring bacteraemia and time-varying confounding using inverse probability weighting for marginal structural models, ICU-acquired bacteraemia was associated with a decreased daily ICU discharge risk and an increased risk of ICU mortality.

Use of Implementation Science for a Sustained Reduction of Central-Line-Associated Bloodstream Infections in a High-Volume, Regional Burn Unit

OBJECTIVE We describe the use of implementation science at the unit level and organizational level to guide an intervention to reduce central-line-associated bloodstream infections (CLABSIs) in a high-volume, regional, burn intensive care unit (BICU). DESIGN A single center observational quasi-experimental study. SETTING A regional BICU in Maryland serving 300-400 burn patients annually. INTERVENTIONS In 2011, an organizational-level and unit-level intervention was implemented to reduce the rates of CLABSI in a high-risk patient population in the BICU. At the organization level, leaders declared a goal of zero infections, created an infrastructure to support improvement efforts by creating a coordinating team, and engaged bedside staff. Performance data were transparently shared. At the unit level, the Comprehensive Unit-based Safety Program (CUSP)/ Translating Research Into Practice (TRIP) model was used. A series of interventions were implemented: development of new blood culture procurement criteria, implementation of chlorhexidine bathing and chlorhexidine dressings, use of alcohol impregnated caps, routine performance of root-cause analysis with executive engagement, and routine central venous catheter changes. RESULTS The use of an implementation science framework to guide multiple interventions resulted in the reduction of CLABSI rates from 15.5 per 1,000 central-line days to zero with a sustained rate of zero CLABSIs over 3 years (rate difference, 15.5; 95% confidence interval, 8.54-22.48). CONCLUSIONS CLABSIs in high-risk units may be preventable with the a use a structured organizational and unit-level paradigm. Infect Control Hosp Epidemiol 2017;38:1306-1311.

Nursing workload and adherence to non-pharmacological measures in the prevention of ventilator-associated pneumonia. A pilot study

OBJECTIVE

To analyse whether adherence to non-pharmacological measures in the prevention of ventilator-associated pneumonia (VAP) is associated with nursing workload.

METHODS

A prospective observational study performed in a single medical-surgical ICU. Nurses in charge of patients under ventilator support were assessed.

VARIABLES

knowledge questionnaire, application of non-pharmacological VAP prevention measures, and workload (Nine Equivalents of Nursing Manpower Use Score). Phases: 1) the nurses carried out a educational programme, consisting of 60-minute lectures on non-pharmacological measures for VAP prevention, and at the end completed a questionnaire knowledge; 2) observation period; 3) knowledge questionnaire.

RESULTS

Among 67 ICU-staff nurses, 54 completed the educational programme and were observed. A total of 160 observations of 49 nurses were made. Adequate knowledge was confirmed in both the initial and final questionnaires. Application of preventive measures ranged from 11% for hand washing pre-aspiration to 97% for the use of a sterile aspiration probe. The Nine Equivalents of Nursing Manpower Use Score was 50±13. No significant differences were observed between the association of the nurses' knowledge and the application of preventive measures or between workload and the application of preventive measures.

CONCLUSIONS

Nurses' knowledge of VAP prevention measures is not necessarily applied in daily practice. Failure to follow these measures is not subject to lack of knowledge or to increased workload, but presumably to contextual factors.

Appropriate endpoints for evaluation of new antibiotic therapies for severe infections: a perspective from COMBACTE's STAT-Net

PURPOSE

In this era of rising antimicrobial resistance, slowly refilling antibiotic development pipelines, and an aging population, we need to ensure that randomized clinical trials (RCTs) determine the added benefit of new antibiotic agents effectively and in a valid way, especially for severely ill patients. Unfortunately, universally accepted endpoints for the evaluation of new drugs in severe infections are lacking.

METHODS

We review and discuss the current practices and challenges regarding endpoints in RCTs in this field and propose novel approaches.

RESULTS

Usual endpoints actually recommended for drug development suffer from important flaws. Mortality requires large sample size and only partly related to the infectious process. Clinical cure rate is highly subjective in critically ill patients where symptoms may be related to other intercurrent events. Currently, composite endpoints, hierarchical nested designs, and competing risks analysis seem to be the most promising new tools for designing and analyzing clinical trials in this area, although they require further validation.

CONCLUSION

Regulatory authorities, pharmaceutical companies, and clinicians need to agree on the most appropriate clinical endpoints for severe infections to ensure efficient approval of new, effective antibiotic agents.

Clinico-microbiological profile and outcomes of nosocomial sepsis in an Indian tertiary care hospital--a prospective cohort study

BACKGROUND

Nosocomial infections are linked to rising morbidity and mortality worldwide. We sought to investigate the pattern of nosocomial sepsis, device usage, risk factors for mortality and the antimicrobial resistance pattern of the causative organisms in medical intensive care units (ICUs) in an Indian tertiary care hospital.

METHODS

We conducted a single-centre based prospective cohort study in four medical ICUs and patients who developed features of sepsis 48 hours after admission to the ICUs were included. Patients' demographics, indwelling device usage, microbiological culture reports, drug resistance patterns and the outcomes were recorded. The Acute Physiology and Chronic Health Evaluation (APACHE) III score and the relative risk of variables contributing towards non recovery were calculated.

RESULTS

Pneumonia (49%) was the commonest nosocomial infection resulting in sepsis, followed by urosepsis (21.8%), bloodstream infection (BSI) (10.3%) and catheter-related bloodstream infection (CRBSI) (5%). Sixty three percent of the Acinetobacter baumannii and 64.4% of the Pseudomonas aeruginosa were multidrug-resistant (MDR). Seventy percent of the Klebsiella pneumoniae were extended spectrum beta-lactamase producers and 7.4% were resistant to carbapenems. Forty three percent of the Staphylococcus aureus were methicillin-resistant S. aureus. Resistance to carbapenems was 35.2% in this study. High APACHE III scores (P = 0.006 by unpaired t-test) and chronic kidney disease (P = 0.023) were significantly associated with non-recovery.

CONCLUSIONS

A high degree of multidrug resistance was observed among both Gram-positive and -negative organisms in nosocomial sepsis patients. Carbapenem resistance was a common occurrence. Chronic kidney disease and high APACHE III scores were significantly associated with non-recovery. Male gender and sepsis leading to cardiovascular failure were the independent predictors of mortality.

Nationwide study on the use of intravascular catheters in internal medicine departments

BACKGROUND

The use of intravascular catheters (IVCs) in intensive care units (ICUs) has been well assessed in recent years. However, a high proportion of these devices are placed in patients outside the ICU, particularly in internal medicine departments (IMDs), where data on the quality of care are scarce.

AIM

To assess the use and management of IVCs in IMDs in Spain.

METHODS

We performed a point prevalence study of all adult inpatients on 47 IMDs from hospitals of different sizes on one day in June 2013. A local co-ordinator was appointed to assess patients and collect data from each site.

FINDINGS

Out of the 2080 adult patients hospitalized on the study day, 1703 (81.9%) had one or more IVCs (95.4% of which were peripheral devices). Infection was detected at the insertion site in 92 catheters (5.0%); 87 patients (5.2%) had signs of sepsis, but only one case was considered to be catheter-related. The local co-ordinators estimated that 19% of the catheters in place were no longer necessary. A daily record of the need for a catheter was available in only 40.6% of cases.

CONCLUSION

Our study shows clear opportunities for improvement regarding catheter use and care in Spanish IMDs. Strategies similar to those applied in ICUs should be implemented in IMDs.

Targeted screening for third-generation cephalosporin-resistant Enterobacteriaceae carriage among patients admitted to intensive care units: a quasi-experimental study

Introduction

Identification of third-generation, cephalosporin-resistant Enterobacteriaceae (3GC-RE) carriers by rectal screening at admission seems to be an important step in the prevention of transmission and outbreaks; however, little is known about its effectiveness. The aim of this study was to evaluate the impact of ‘targeted screening’ at patient admission to intensive care units (ICUs) on the incidence of 3GC-RE hospital-acquired infections (HAIs) and compare it to ‘universal screening’.

Methods

We undertook a quasi-experimental study of two ICUs (unit A: intervention group; unit B: control group) at a university-affiliated hospital between 1 January 2008 and 31 December 2011. In unit A, patients were screened universally for 3GC-RE at admission during period 1 (1 January 2008 through 30 September 2010). During period 2 (2011 calendar year), the intervention was implemented in unit A; patients transferred from another unit or hospital were screened selectively. In unit B, all patients were screened throughout periods 1 and 2. 3GC-RE-related HAI incidence rates were expressed per 1,000 patient-days. Incidence rate ratios (IRRs) were examined by multivariate Poisson regression modelling.

Results

In unit A, 3GC-RE-related HAI incidence rates decreased from 5.4 (95% confidence interval (CI), 4.1 to 7.0) during period 1 to 1.3 (95% CI, 0.5 to 2.9) during period 2 (P < 0.001). No changes were observed in unit B between periods 1 and 2 (P = 0.5). In unit A, the adjusted incidence of 3GC-RE-related HAIs decreased in period 2 compared with period 1 (adjusted IRR, 0.3; 95% CI, 0.1 to 0.9; P = 0.03) independently of temporal trend, trauma and age. No changes were seen in unit B (P = 0.4). The total number of rectal swabs taken showed an 85% decrease in unit A between period 1 and 2 (P < 0.001).

Conclusions

Targeted screening of 3GC-RE carriers at ICU admission was not associated with an increase in 3GC-RE-related HAI incidence compared with universal screening. Total number of rectal swabs decreased significantly. These findings suggest that targeted screening may be worth assessing as an alternative to universal screening.

Effect of standardized surveillance of intensive care unit-acquired infections on ventilator-associated pneumonia incidence

In a multicenter surveillance of intensive care unit (ICU)-acquired infections, adjusted ventilator-associated pneumonia (VAP) incidence diminished by -1.0% per year (95% confidence interval [CI], -1.8 to -0.2; P = .02) in ICUs with continuous surveillance but increased by +16.1% (95% CI, 0.5%-34.1%; P = .04) in the year following surveillance disruption, suggesting a preventive effect of surveillance on VAP.

Validity analysis of a unique infection surveillance system in the intensive care unit by analysis of a data warehouse built through a workflow-integrated software application

BACKGROUND

An electronic decision support programme was developed within the intensive care unit (ICU) that provides an overview of all infection-related patient data, and allows ICU physicians to add clinical information during patient rounds, resulting in prospective compilation of a database.

AIM

To assess the validity of computer-assisted surveillance (CAS) of ICU-acquired infection performed by analysis of this database.

METHODS

CAS was compared with prospective paper-based surveillance (PBS) for ICU-acquired respiratory tract infection (RTI), bloodstream infection (BSI) and urinary tract infection (UTI) over four months at a 36-bed medical and surgical ICU. An independent panel reviewed the data in the case of discrepancy between CAS and PBS.

FINDINGS

PBS identified 89 ICU-acquired infections (13 BSI, 18 UTI, 58 RTI) and CAS identified 90 ICU-acquired infections (14 BSI, 17 UTI, 59 RTI) in 876 ICU admissions. There was agreement between CAS and PBS on 13 BSI (100 %), 14 UTI (77.8 %) and 42 RTI (72.4 %). Overall, there was agreement on 69 infections (77.5%), resulting in a kappa score of 0.74. Discrepancy between PBS and CAS was the result of capture error in 11 and 14 infections, respectively. Interobserver disagreement on probability (13 RTI) and focus (two RTI, one UTI) occurred for 16 episodes. The time required to collect information using CAS is less than 30% of the time required when using PBS.

CONCLUSION

CAS for ICU-acquired infection by analysis of a database built through daily workflow is a feasible surveillance method and has good agreement with PBS. Discrepancy between CAS and PBS is largely due to interobserver variability.

Prevention of central line-associated bloodstream infections through quality improvement interventions: a systematic review and meta-analysis

This systematic review and meta-analysis examines the impact of quality improvement interventions on central line-associated bloodstream infections in adult intensive care units. Studies were identified through Medline and manual searches (1995-June 2012). Random-effects meta-analysis obtained pooled odds ratios (ORs) and 95% confidence intervals (CIs). Meta-regression assessed the impact of bundle/checklist interventions and high baseline rates on intervention effect. Forty-one before-after studies identified an infection rate decrease (OR, 0.39 [95% CI, .33-.46]; P < .001). This effect was more pronounced for trials implementing a bundle or checklist approach (P = .03). Furthermore, meta-analysis of 6 interrupted time series studies revealed an infection rate reduction 3 months postintervention (OR, 0.30 [95% CI, .10-.88]; P = .03). There was no difference in infection rates between studies with low or high baseline rates (P = .18). These results suggest that quality improvement interventions contribute to the prevention of central line-associated bloodstream infections. Implementation of care bundles and checklists appears to yield stronger risk reductions.

Multilevel competing risk models to evaluate the risk of nosocomial infection

Introduction

Risk factor analyses for nosocomial infections (NIs) are complex. First, due to competing events for NI, the association between risk factors of NI as measured using hazard rates may not coincide with the association using cumulative probability (risk). Second, patients from the same intensive care unit (ICU) who share the same environmental exposure are likely to be more similar with regard to risk factors predisposing to a NI than patients from different ICUs. We aimed to develop an analytical approach to account for both features and to use it to evaluate associations between patient- and ICU-level characteristics with both rates of NI and competing risks and with the cumulative probability of infection.

Methods

We considered a multicenter database of 159 intensive care units containing 109,216 admissions (813,739 admission-days) from the Spanish HELICS-ENVIN ICU network. We analyzed the data using two models: an etiologic model (rate based) and a predictive model (risk based). In both models, random effects (shared frailties) were introduced to assess heterogeneity. Death and discharge without NI are treated as competing events for NI.

Results

There was a large heterogeneity across ICUs in NI hazard rates, which remained after accounting for multilevel risk factors, meaning that there are remaining unobserved ICU-specific factors that influence NI occurrence. Heterogeneity across ICUs in terms of cumulative probability of NI was even more pronounced. Several risk factors had markedly different associations in the rate-based and risk-based models. For some, the associations differed in magnitude. For example, high Acute Physiology and Chronic Health Evaluation II (APACHE II) scores were associated with modest increases in the rate of nosocomial bacteremia, but large increases in the risk. Others differed in sign, for example respiratory vs cardiovascular diagnostic categories were associated with a reduced rate of nosocomial bacteremia, but an increased risk.

Conclusions

A combination of competing risks and multilevel models is required to understand direct and indirect risk factors for NI and distinguish patient-level from ICU-level factors.

Mortality indicators in community-acquired pneumonia requiring intensive care in Turkey

BACKGROUND

Severe community-acquired pneumonia (SCAP) is a fatal disease. This study was conducted to describe an outcome analysis of the intensive care units (ICUs) of Turkey.

METHODS

This study evaluated SCAP cases hospitalized in the ICUs of 19 different hospitals between October 2008 and January 2011. The cases of 413 patients admitted to the ICUs were retrospectively analyzed.

RESULTS

Overall 413 patients were included in the study and 129 (31.2%) died. It was found that bilateral pulmonary involvement (odds ratio (OR) 2.5, 95% confidence interval (CI) 1.1-5.7) and CAP PIRO score (OR 2, 95% CI 1.3-2.9) were independent risk factors for a higher in-ICU mortality, while arterial hypertension (OR 0.3, 95% CI 0.1-0.9) and the application of non-invasive ventilation (OR 0.2, 95% CI 0.1-0.5) decreased mortality. No culture of any kind was obtained for 90 (22%) patients during the entire course of the hospitalization. Blood, bronchoalveolar lavage, and non-bronchoscopic lavage cultures yielded enteric Gram-negatives (n=12), followed by Staphylococcus aureus (n=10), pneumococci (n=6), and Pseudomonas aeruginosa (n=6). For 22% of the patients, none of the culture methods were applied.

CONCLUSIONS

SCAP requiring ICU admission is associated with considerable mortality for ICU patients. Increased awareness appears essential for the microbiological diagnosis of this disease.

Survey of central line-associated bloodstream infection prevention practices across american burn association-certified adult burn units

Central line–associated bloodstream infections (CLABSIs) have a considerable impact on morbidity, length of stay, and potential mortality. The estimated per-case cost of CLABSIs is $11,000–$56,167, and there is consensus that most are preventable. Publicly reported CLABSI data are also now used as a metric to compare hospitals.

There are published guidelines for the prevention of central line–associated infections, but these practices have not been studied in burn patients. Patients with severe burns pose unique and specific challenges and differ substantially from the typical medical or surgical intensive care unit (ICU) patient. Our objective was to assess CLABSI prevention practices in burn units.

We identified all American Burn Association (ABA)–certified adult burn centers through the ABA website (http://www.ameriburn.org) and contacted nursing leadership of each burn intensive care unit to conduct a telephone survey of CLABSI prevention practices in March 2012. The survey project was approved by the Johns Hopkins institutional review board.

We had 100% survey participation. There was substantial variation among burn units in the number of beds, the mix of patients, and the acuity of patients' illness. Bed size varied from 4 to 38. Eight units stated that their burn unit incorporated a step-down unit or floor-status beds in their bed count. Thirty (58.8%) of the 51 units defined themselves as mixed burn/surgical or trauma units. The percentage of burned patients seen in the burn units varied from 10% to 100%, with 8 (15.4%) of 51 units stating that their census consisted of fewer than 30% burned patients in their burn ICU.

Impact of surveillance of hospital-acquired infections on the incidence of ventilator-associated pneumonia in intensive care units: a quasi-experimental study

INTRODUCTION

The preventive impact of hospital-acquired infection (HAI) surveillance is difficult to assess. Our objective was to investigate the effect of HAI surveillance disruption on ventilator-associated pneumonia (VAP) incidence.

METHODS

A quasi-experimental study with an intervention group and a control group was conducted between 1 January 2004 and 31 December 2010 in two intensive care units (ICUs) of a university hospital that participated in a national HAI surveillance network. Surveillance was interrupted during the year 2007 in unit A (intervention group) and was continuous in unit B (control group). Period 1 (pre-test period) comprised patients hospitalized during 2004 to 2006, and period 2 (post-test period) involved patients hospitalized during 2008 to 2010. Patients hospitalized ≥ 48 hours and intubated during their stay were included. Multivariate Poisson regression was fitted to ascertain the influence of surveillance disruption.

RESULTS

A total of 2,771 patients, accounting for 19,848 intubation-days at risk, were studied; 307 had VAP. The VAP attack rate increased in unit A from 7.8% during period 1 to 17.1% during period 2 (P <0.001); in unit B, it was 7.2% and 11.2% for the two periods respectively (P = 0.17). Adjusted VAP incidence rose in unit A after surveillance disruption (incidence rate ratio = 2.17, 95% confidence interval 1.05 to 4.47, P = 0.036), independently of VAP trend; no change was observed in unit B. All-cause mortality and length of stay increased (P = 0.028 and P = 0.038, respectively) in unit A between periods 1 and 2. In unit B, no change in mortality was observed (P = 0.22), while length of stay decreased between periods 1 and 2 (P = 0.002).

CONCLUSIONS

VAP incidence, length of stay and all-cause mortality rose after HAI surveillance disruption in ICU, which suggests a specific effect of HAI surveillance on VAP prevention and reinforces the role of data feedback and counselling as a mechanism to facilitate performance improvement.

Infectious diseases in the critically ill patients

Infection is common in the critically ill and often results due to the severity of the patient's illness. Recent data suggest 51% of intensive care unit (ICU) patients are infected, and 71% receive antimicrobial therapy. Bacterial infection is the primary concern, although some fungal infections are opportunistic. Infection more than doubles the ICU mortality rate, and the costs associated with infection may be as high as 40% of total ICU expenditures. There are many contemporary antimicrobial resistance concerns that the critical care clinician must consider in managing the pharmacotherapy of infection. Methicillin resistance in Staphylococcus aureus, vancomycin resistance in Enterococci, beta-lactamase resistance in Enterobacteriaceae, multidrug resistance in Pseudomonas aeruginosa and Acinetobacter species, fluoroquinolone resistance in Escherichia coli, and fungal resistance are among the most common issues ICU clinician's must face in managing infection. Critical illness causes changes in pharmacokinetics that influence drug and dosing considerations. Absorption, distribution, metabolism, and excretion may all be affected by the various disease states that define critical illness. Several specific diseases are discussed, including ventilator-associated pneumonia, various fungal infections, gastrointestinal infections due to Clostridium difficile, urinary tract infections, and bloodstream infections. Within each disease section, discussion includes causes and prevention strategies, microbiology, evidence-based guidelines, and important caveats.

Year in review 2011: Critical Care - infection

There is an ever-growing importance for critical assessment of benefits and harms of various strategies with regards to antibiotic stewardship, infection control, molecular detection of pathogens and adequate treatment of multidrug-resistant organisms in ICUs. Ongoing financial constraints globally, changing demographics with an increasing and aging population and the slow introduction of new antibiotics make the utilisation of the best available evidence and goal-directed strategies essential in the ICU setting. This review will summarise findings from some of the recent major publications in the area of infectious diseases with emphasis on the role of behaviour change strategies for infection control purposes, the role of biomarkers such as C-reactive protein and procalcitonin, and the impact of molecular diagnostics in clinical decision-making. Furthermore, we will update readers on some recent findings in relation to invasive fungal infections, community-acquired pneumonia and ventilator-associated pneumonia in ICU patients.

Year in review 2009: Critical Care--infection

In 2009 Critical Care provided important and clinically relevant research data for management and prevention of infections in critically ill patients. The present review summarises the results of these observational studies and clinical trials and discusses them in the context of the current relevant scientific and clinical background. In particular, we discuss recent epidemiologic data on nosocomial infections in intensive care units, present new approaches to prevention of ventilator-associated pneumonia, describe recent advances in biomarker-guided antibiotic stewardship and attempt to briefly summarise specific challenges related to the management of infections caused by multidrug-resistant microorganisms and influenza A (H1N1).