Intensive Care Unit Patient-days Research Articles

Implementation of a diagnostic stewardship intervention to improve blood-culture utilization in 2 surgical ICUs: Time for a blood-culture change.

We compared the number of blood-culture events before and after the introduction of a blood-culture algorithm and provider feedback. Secondary objectives were the comparison of blood-culture positivity and negative safety signals before and after the intervention. Prospective cohort design. Two surgical intensive care units (ICUs): general and trauma surgery and cardiothoracic surgery. Patients aged ≥18 years and admitted to the ICU at the time of the blood-culture event. We used an interrupted time series to compare rates of blood-culture events (ie, blood-culture events per 1,000 patient days) before and after the algorithm implementation with weekly provider feedback. The blood-culture event rate decreased from 100 to 55 blood-culture events per 1,000 patient days in the general surgery and trauma ICU (72% reduction; incidence rate ratio [IRR], 0.38; 95% confidence interval [CI], 0.32-0.46; P < .01) and from 102 to 77 blood-culture events per 1,000 patient days in the cardiothoracic surgery ICU (55% reduction; IRR, 0.45; 95% CI, 0.39-0.52; P < .01). We did not observe any differences in average monthly antibiotic days of therapy, mortality, or readmissions between the pre- and postintervention periods. We implemented a blood-culture algorithm with data feedback in 2 surgical ICUs, and we observed significant decreases in the rates of blood-culture events without an increase in negative safety signals, including ICU length of stay, mortality, antibiotic use, or readmissions.

Active Surveillance and Contact Precautions for Preventing Methicillin-Resistant Staphylococcus aureus Healthcare-Associated Infections During the COVID-19 Pandemic.

Statistically significant decreases in methicillin-resistant Staphylococcus aureus (MRSA) healthcare-associated infections (HAIs) occurred in Veterans Affairs (VA) hospitals from 2007 to 2019 using a national policy of active surveillance (AS) for facility admissions and contact precautions for MRSA colonized (CPC) or infected (CPI) patients, but the impact of suspending these measures to free up laboratory resources for testing and conserve personal protective equipment for coronavirus disease 2019 (COVID-19) on MRSA HAI rates is not known. From July 2020 to June 2022 all 123 acute care VA hospitals nationwide were given the rolling option to suspend (or re-initiate) any combination of AS, CPC, or CPI each month, and MRSA HAIs in intensive care units (ICUs) and non-ICUs were tracked. There were 917 591 admissions, 5 225 174 patient-days, and 568 MRSA HAIs. The MRSA HAI rate/1000 patient-days in ICUs was 0.20 (95% confidence interval [CI], .15-.26) for facilities practicing "AS + CPC + CPI" compared to 0.65 (95% CI, .41-.98; P < .001) for those not practicing any of these strategies, and in non-ICUs was 0.07 (95% CI, .05-.08) and 0.12 (95% CI, .08-.19; P = .01) for the respective policies. Accounting for monthly COVID-19 facility admissions using a negative binomial regression model did not change the relationships between facility policy and MRSA HAI rates. There was no significant difference in monthly facility urinary catheter-associated infection rates, a non-equivalent dependent variable, in the policy categories in either ICUs or non-ICUs. Facility removal of MRSA prevention practices was associated with higher rates of MRSA HAIs in ICUs and non-ICUs.

Non-COVID-19 intensive care admissions during the pandemic: a multinational registry-based study

BackgroundThe COVID-19 pandemic resulted in a large number of critical care admissions. While national reports have described the outcomes of patients with COVID-19, there is limited international data of the...

Changing Patterns of Bloodstream Infections in the Community and Acute Care Across 2 Coronavirus Disease 2019 Epidemic Waves: A Retrospective Analysis Using Data Linkage.

BackgroundWe examined community- and hospital-acquired bloodstream infections (BSIs) in coronavirus disease 2019 (COVID-19) and non–COVID-19 patients across 2 epidemic waves.MethodsWe analyzed blood cultures of patients presenting to a London hospital group between January 2020 and February 2021. We reported BSI incidence, changes in sampling, case mix, healthcare capacity, and COVID-19 variants.ResultsWe identified 1047 BSIs from 34 044 blood cultures, including 653 (62.4%) community-acquired and 394 (37.6%) hospital-acquired. Important pattern changes were seen. Community-acquired Escherichia coli BSIs remained below prepandemic level during COVID-19 waves, but peaked following lockdown easing in May 2020, deviating from the historical trend of peaking in August. The hospital-acquired BSI rate was 100.4 per 100 000 patient-days across the pandemic, increasing to 132.3 during the first wave and 190.9 during the second, with significant increase in elective inpatients. Patients with a hospital-acquired BSI, including those without COVID-19, experienced 20.2 excess days of hospital stay and 26.7% higher mortality, higher than reported in prepandemic literature. In intensive care, the BSI rate was 421.0 per 100 000 intensive care unit patient-days during the second wave, compared to 101.3 pre–COVID-19. The BSI incidence in those infected with the severe acute respiratory syndrome coronavirus 2 Alpha variant was similar to that seen with earlier variants.ConclusionsThe pandemic have impacted the patterns of community- and hospital-acquired BSIs, in COVID-19 and non–COVID-19 patients. Factors driving the patterns are complex. Infection surveillance needs to consider key aspects of pandemic response and changes in healthcare practice.

A preliminary study of intensivist-performed DVT ultrasound screening in trauma ICU patients (APSIT Study)

BackgroundMultiple screening Duplex ultrasound scans (DUS) are performed in trauma patients at high risk of deep vein thrombosis (DVT) in the intensive care unit (ICU). Intensive care physician performed compression ultrasound (IP-CUS) has shown promise as a diagnostic test for DVT in a non-trauma setting. Whether IP-CUS can be used as a screening test in trauma patients is unknown. Our study aimed to assess the agreement between IP-CUS and vascular sonographer performed DUS for proximal lower extremity deep vein thrombosis (PLEDVT) screening in high-risk trauma patients in ICU.MethodsA prospective observational study was conducted at the ICU of Alfred Hospital, a major trauma center in Melbourne, Australia, between Feb and Nov 2015. All adult major trauma patients admitted with high risk for DVT were eligible for inclusion. IP-CUS was performed immediately before or after DUS for PLEDVT screening. The paired studies were repeated twice weekly until the DVT diagnosis, death or ICU discharge. Written informed consent from the patient, or person responsible, or procedural authorisation, was obtained. The individuals performing the scans were blinded to the others’ results. The agreement analysis was performed using Cohen’s Kappa statistics and intraclass correlation coefficient for repeated binary measurements.ResultsDuring the study period, 117 patients had 193 pairs of scans, and 45 (39%) patients had more than one pair of scans. The median age (IQR) was 47 (28–68) years with 77% males, mean (SD) injury severity score 27.5 (9.53), and a median (IQR) ICU length of stay 7 (3.2–11.6) days. There were 16 cases (13.6%) of PLEDVT with an incidence rate of 2.6 (1.6–4.2) cases per 100 patient-days in ICU. The overall agreement was 96.7% (95% CI 94.15–99.33). The Cohen’s Kappa between the IP-CUS and DUS was 0.77 (95% CI 0.59–0.95), and the intraclass correlation coefficient for repeated binary measures was 0.75 (95% CI 0.67–0.81).ConclusionsThere is a substantial agreement between IP-CUS and DUS for PLEDVT screening in trauma patients in ICU with high risk for DVT. Large multicentre studies are needed to confirm this finding.

Assessment of Costs of Avoidable Delays in Intensive Care Unit Discharge

Delays in transfer for discharge-ready patients from the intensive care unit (ICU) are increasingly described and contribute to strained capacity. To describe the epidemiological features and health care costs attributable to potentially avoidable delays in ICU discharge in a large integrated health care system. This population-based cohort study was performed in 17 adult ICUs in Alberta, Canada, from June 19, 2012, to December 31, 2016. Participants were patients 15 years or older admitted to a study ICU during the study period. Data were analyzed from October 19, 2018, to May 20, 2020. Avoidable time in the ICU, defined as the portion of total ICU patient-days accounted for by avoidable delay in ICU discharge (eg, waiting for a ward bed). The primary outcome was health care costs attributable to avoidable time in the ICU. Secondary outcomes were factors associated with avoidable time, in-hospital mortality, and measures of use of health care resources, including the number of hours in the ICU and the number of days of hospitalization. Multilevel mixed multivariable regression was used to assess associations between avoidable time and outcomes. In total, 28 904 patients (mean [SD] age, 58.3 [16.8] years; 18 030 male [62.4%]) were included. Of these, 19 964 patients (69.1%) had avoidable time during their ICU admission. The median avoidable time per patient was 7.2 (interquartile range, 2.4-27.7) hours. In multivariable analysis, male sex (odds ratio [OR], 0.92; 95% CI, 0.87-0.98), comorbid hemiplegia or paraplegia (OR 1.47; 95% CI, 1.23-1.75), liver disease (OR 1.20; 95% CI, 1.04-1.37), admission Acute Physiology and Chronic Health Evaluation II score (OR, 1.03; 95% CI, 1.02-1.03), surgical status (OR, 0.90; 95% CI, 0.82-0.98), medium community hospital type (OR, 0.12; 95% CI, 0.04-0.32), and admission year (OR, 1.16; 95% CI, 1.13-1.19) were associated with avoidable time. The cumulative avoidable time was 19 373.9 days, with estimated attributable costs of CAD$34 323 522. Avoidable time accounted for 12.8% of total ICU bed-days and 6.4% of total ICU costs. Patients with avoidable time before ICU discharge showed higher unadjusted in-hospital mortality (1115 [5.6%] vs 392 [4.4%]; P < .001); however, in multivariable analysis, avoidable time was associated with reduced in-hospital mortality (adjusted hazard ratio, 0.74; 95% CI, 0.64-0.85). Results were similar in sensitivity analyses. In this study, potentially avoidable discharge delay occurred for most patients admitted to ICUs across a large integrated health system and translated into substantial associated health care costs.

Infection-prevention and control interventions to reduce colonisation and infection of intensive care unit-acquired carbapenem-resistant Klebsiella pneumoniae: a 4-year quasi-experimental before-and-after study

ObjectiveTo determine whether infection-prevention and control (IPC) interventions can reduce the colonisation and infection of intensive care unit (ICU)-acquired carbapenem-resistant Klebsiella pneumoniae (CRKP) in a general ICU ward in China.MethodsWe used a quasi-experimental before-and-after study design. The study was conducted in 4 stages: baseline period, January 2013–June 2013; IPC interventions period including de-escalation and targeted bundle interventions, July 2013–June 2014; modified IPC interventions period, July 2014–June 2015; and follow-up period, July 2015–June 2016. We used modified de-escalation interventions according to patient-risk assessments to prevent the transmission of CRKP.ResultsA total of 629 patients were enrolled in study. The incidence of ICU-acquired CRKP colonisation/infection was 10.08 (4.43–16.43) per 1000 ICU patient-days during the baseline period, and significantly decreased early during the IPC interventions, but the colonisation/infections reappeared in April 2014. During the modified IPC intervention and follow-up periods, the incidence of ICU-acquired CRKP colonisations/infections reduced to 5.62 (0.69–6.34) and 2.84 (2.80–2.89), respectively, with ongoing admission of cases with previously acquired CRKP. The incidence of ICU-acquired CRKP catheter-related bloodstream infections decreased from 2.54 during the baseline period to 0.41 during the follow-up period. The incidence of ventilator-associated pneumonia and skin and soft tissue infections showed a downward trend from 2.84 to 0.41 and from 3.4 to 0.47, respectively, with slight fluctuations.ConclusionsComprehensive IPC interventions including de-escalation and targeted bundle interventions showed a significant reduction in ICU-acquired CRKP colonisations/infections, despite ongoing admission of patients colonised/infected with CRKP.

525. The Impact of Switching to Molecular Testing on Clostridium difficile Infection Rates: Large-Scale Assessment Using an Interrupted Time Series Poisson Regression Approach

Background Clostridium difficile is the most common cause of hospital-acquired infections in the United States, affecting over 500,000 patients per year at a cost of nearly $5 billion. The reported incidence of C. difficile infections (CDIs) has increased in recent years, partly due to broad adoption of polymerase chain reaction (PCR) testing replacing enzyme-linked immunosorbent assay (ELISA) methods. Our aim was to assess the contribution of this change on reported CDI incidence using a large-scale empirical data set.MethodsWe retrospectively analyzed 8 years of CDI surveillance data (2009–2016) collected from 47 hospitals in the Duke Infection Control Outreach Network. During this period, 24 hospitals switched to PCR testing, 10 used ELISA throughout, and 13 used PCR throughout. We used interrupted time series analysis to quantify the relative change in incidence rate (IRR) of CDIs due to the switch from nonmolecular (ELISA) to molecular (PCR) testing. Data were aligned across hospitals at their interruption point, set at the reported test change date or nearest available measurement. Individual hospital and network-wide estimates of the PCR-over-ELISA IRR were determined through Poisson regression, controlling for total patient days, proportion of intensive care unit patient-days as a proxy for acuity, background trends, and previously detected clusters.ResultsAverage monthly CDI rates significantly increased after the test change from 11.7 to 26.8 per 10,000 patient-days in hospitals that switched to PCR testing. A similar difference was observed between ELISA-only and PCR-only hospitals, which averaged 12.7 and 21.0 CDIs per 10,000 patient-days, respectively. Regression analysis yielded hospital-specific test change IRRs ranging from 0.70 (95% confidence interval [CI]: 0.48–1.02) to 3.64 (CI: 2.77–8.46) (Figure 1) and a network-wide IRR of 1.79 (CI: 1.73–1.90). Results also found an increasing background trend of 0.9 CDIs per 10,000 patient-days per year (CI: 0.7–1.2) (Figure 2), as well as a significant effect of known clusters (IRR of 1.56, CI: 1.48–1.65).ConclusionHospitals that switched to molecular testing experienced an average post-change increase of 80% in reported CDI rates, similar to that observed during known cluster periods. Disclosures All authors: No reported disclosures.

A prospective, observational, longitudinal cohort study of sedation practices in SGH intensive care units

Background: Critically ill patients require sedation for patient comfort and ventilator synchrony. Despite the extensive use of sedation, to date there is no consensus on the best sedation practices. We attempt to investigate our local sedation practices. Method: This was a single-centre prospective, observation cohort study in medical and surgical intensive care unit (ICU) patients who were ventilated and sedated for more than 24 hours. Baseline demographics were obtained and patients followed-up for 28 days or to ICU discharge. Details on sedatives, ventilation duration, vasopressors and renal replacement therapy use, hospital/ICU length of stay, mortality, delirium, and sedation depth were collected and analysed. Results: From March to July 2012, 58 patients were recruited with a mean Acute Physiology and Chronic Health Evaluation II (APACHE II) score of 20.2 ±8.5. Hospital mortality rates were 32.8%. Patients were followed-up for 387 ICU patient-days. In the early period (first 48 h), the most popular sedative used was propofol (74.1%), followed by morphine (29.3%). In the subsequent period (&gt;48 h), most patients were not sedated (47.6%); morphine became the most popular sedation drug (32.5%) followed by propofol (31%). Ketamine, haloperidol and diazepam were not given. In total, 1994 Richmond Agitation and Sedation Score (RASS) assessments were performed over 387 ICU patient-days; 11.1% of RASS assessments were prescribed a sedation target, and 86% of them met the prescribed targets. Delirium was observed in 22.4% of patients. Compared with medical patients, surgical patients were more likely to be prescribed a sedation target (14.2% vs. 7.4%, p&lt;0.01), require lower doses of sedation, have a RASS score of between −2 to 1 (84.8% vs. 72.3%, p&lt;0.01) and have fewer incidences of delirium (4.1% vs. 12.1%, p=0.01). Conclusion: Propofol and morphine were the most commonly prescribed sedatives. Different sedation practices between units may contribute to a reduction in delirium incidence.

Impact of Change to Molecular Testing for Clostridium difficile Infection on Healthcare Facility–Associated Incidence Rates

Change from nonmolecular to molecular testing techniques is thought to contribute to the increasing trend in incidence of Clostridium difficile infection (CDI); however the degree of effect attributed to this versus other time-related epidemiologic factors is unclear. We compared the relative change in incidence rate (IRR) of healthcare facility-associated (HCFA) CDI among hospitals in the Duke Infection Control Outreach Network before and after the date of switch from nonmolecular tests to polymerase chain reaction (PCR) using prospectively collected surveillance data from July 2009 to December 2011. Data from 10 hospitals that switched and 22 control hospitals were included. Individual hospital estimates were determined using Poisson regression. We used an interrupted time series approach to develop a Poisson mixed-effects model. Additional regression adjustments were made for clustering and proportion of intensive care unit patient-days. The variable for PCR was treated as a fixed effect; other modeled variables were random effects. For those hospitals that switched to PCR, mean incidence rate of HCFA CDI before the switch was 6.0 CDIs per 10,000 patient-days compared with 9.6 CDIs per 10,000 patient-days after the switch. Estimates of hospital-specific IRR that compared after the switch with before the switch ranged from 0.89 (95% confidence interval [CI], 0.32-2.44) to 6.91 (95% CI, 1.12-42.54). After adjustment in the mixed-effects model, the overall IRR comparing CDI incidence after the switch to before the switch was 1.56 (95% CI, 1.28-1.90). Time-trend variables did not reach statistical significance. Hospitals that switched from nonmolecular to molecular tests experienced an approximate 56% increase in the rate of HCFA CDI after testing change.

Deriving Measures of Intensive Care Unit Antimicrobial Use from Computerized Pharmacy Data: Methods, Validation, and Overcoming Barriers

To outline methods for deriving and validating intensive care unit (ICU) antimicrobial utilization (AU) measures from computerized data and to describe programming problems that emerged. Retrospective evaluation of computerized pharmacy and administrative data. ICUs from 4 academic medical centers over 36 months. Investigators separately developed and validated programming code to report AU measures in selected ICUs. Use of antibacterial and antifungal drugs for systemic administration was categorized and expressed as antimicrobial-days (each day that each antimicrobial drug was given to each patient) and patient-days receiving antimicrobials (each day that any antimicrobial drug was given to each patient). Monthly rates were compiled and analyzed centrally, with ICU patient-days as the denominator. Results were validated against data collected from manual review of medical records. Frequent discussion among investigators aided identification and correction of programming problems. AU data were successfully programmed though a reiterative process of computer code revision. After identifying and resolving major programming errors, comparison of computerized patient-level data with data collected by manual review of medical records revealed discrepancies in antimicrobial-days and patient-days receiving antimicrobials that ranged from less than 1% to 17.7%. The hospital from which numerator data were derived from electronic records of medication administration had the least discrepant results. Computerized AU measures can be derived feasibly, but threats to validity must be sought out and corrected. The magnitude of discrepancies between computerized AU data and a gold standard based on manual review of medical records varies, with electronic records of medication administration providing maximal accuracy.

Optimizing Advanced Practitioner Charge Capture in High-Acuity Surgical Intensive Care Units

To determine the impact of standardized critical care documentation tools on charge capture by intensive care unit (ICU) advanced practitioners (APs). Prospective charge capture analysis of AP critical care charges (Current Procedural Terminology codes 99291 or 99292). Neurosurgical, general surgical, and cardiothoracic ICUs in a level I, 800-bed hospital. The AP provider to patient ratio was 1:6, with 24-hour surgical intensivist oversight. Advanced practice registered nurses and physician assistants in the ICU. Standardized templates were developed to simplify documentation and optimize billing of critical care. All APs participated in comprehensive educational sessions on billing compliance and documentation. Charge capture was collected for 3 years, and comparisons were made between the first quarter before (fiscal year [FY] 2008), during (FY 2009) and after (FY 2010) implementation. The number of ICU patient-days, length of stay, and of beds was collected. During the implementation/education phase (FY 2009), there were no differences in charge capture compared with FY 2008. Each unit demonstrated an increase in charge capture after implementation, and an overall increase of 48% for all 3 ICUs was seen. The number of admissions and length of stay were not statistically different. The total number of ICU beds increased from 42 to 45 during the evaluation period. The salary offset for APs increased from 62% to 80%. Advanced practitioners represent an important component of the critical care services provided to patients in high-acuity surgical ICUs. Standardized critical care documentation and comprehensive education on evaluation and management guidelines significantly increased charge capture.

Power and limitations of daily prognostications of death in the medical intensive care unit

We tested the accuracy of predictions of impending death for medical intensive care unit patients, offered daily by their professional medical caretakers. For 560 medical intensive care unit patients, on each medical intensive care unit day, we asked their attending physicians, fellows, residents, and registered nurses one question: "Do you think this patient will die in the hospital or survive to be discharged?" We obtained>6,000 predictions on 2018 medical intensive care unit patient days. Seventy-five percent of MICU patients who stayed≥4 days had discordant predictions; that is, at least one caretaker predicted survival, whereas others predicted death before discharge. Only 107 of 206 (52%) patients with a prediction of "death before discharge" actually died in hospital. This number rose to 66% (96 of 145) for patients with 1 day of corroborated (i.e., >1) prediction of "death," and to 84% (79 of 94) with at least 1 unanimous day of predictions of death. However, although positive predictive value rose with increasingly stringent prediction criteria, sensitivity fell so that the area under the receiver-operator characteristic curve did not differ for single, corroborated, or unanimous predictions of death. Subsets of older (>65 yrs) and ventilated medical intensive care unit patients revealed parallel findings. 1) Roughly half of all medical intensive care unit patients predicted to die in hospital survived to discharge nonetheless. 2) More highly corroborated predictions had better predictive value; although, approximately 15% of patients survived unexpectedly, even when predicted to die by all medical caretakers.

Antibiotic use in 530 French hospitals: results from a surveillance network at hospital and ward levels in 2007

Antibiotic use in French hospitals is among the highest in Europe. A study was carried out to describe antibiotic consumption for inpatients at hospital and at ward levels. Data were voluntarily collected retrospectively by 530 hospitals accounting for approximately 40 million patient-days (PD) on the following: antibacterials for systemic use [J01 class of the WHO Anatomical Therapeutic Chemical (ATC) classification, defined daily doses (DDD) system, 2007], rifampicin and oral imidazole derivatives, expressed in number of DDD and number of PD in 2007. Consumption was expressed in DDD/1000 PD. Median antibiotic use ranged from 60 DDD/1000 PD in long-term care (LTC) and psychiatric hospitals to 633 DDD/1000 PD in teaching hospitals. Penicillins and beta-lactamase inhibitors combinations were the most frequently used antibiotics, accounting for 26% of total use in cancer hospitals to 40% in LTC/psychiatric hospitals. Glycopeptides and carbapenems were mostly used in cancer and teaching hospitals. Level of consumption and pattern of use differed according to clinical ward from 60 DDD/1000 PD in psychiatric wards up to 1466 DDD/1000 PD in intensive care units (ICUs). In medicine, surgery, ICU and rehabilitation wards, fluoroquinolones accounted for 13%-19% of the total use. This multicentre survey provided detailed information on antibiotic use in a large sample of hospitals and wards, allowing relevant comparisons and benchmarking. Analysis of consumption at the ward level should help hospitals to target practice audits to improve antibiotic use.

Molecular characterisation of outbreak-related strains of vancomycin-resistant Enterococcus faecium from an intensive care unit in Beijing, China

We investigated an outbreak of vancomycin-resistant Enterococcus faecium affecting 14 patients in a 20-bed intensive care unit (ICU) between September 2006 and August 2007 (incidence: 3.56 cases per 1000 ICU patient days). Eighteen isolates of vanA type E. faecium were analysed by pulsed field gel electrophoresis, which showed 14 types overall. Multilocus sequence typing (MLST) identified eight different sequence types (STs) (ST78, ST117, ST203, ST316, ST362, ST363, ST364 and ST365), including four new types (ST362, ST363, ST364 and ST365) and 17 strains belonged to clonal complexes CC17. Sixteen of these carried the esp gene. Eighteen Tn1546-like elements encoding vanA-type VRE were classified into three types (types I to III) and all of them contained both IS1216V and IS1542 insertions. Vancomycin resistance of 14 vanA type E. faecium isolates was transferred at a frequency of 1.3 x 10(-6) to 6.4 x 10(-5) between E. faecium strains during filter mating. Our findings indicate that conjugative dissemination of Tn1546-like elements among CC17 E. faecium occurred during the outbreak in this ICU.

Intensive care unit hypoglycemia predicts depression during early recovery from acute lung injury*

To evaluate the association between intensive care unit blood glucose levels and depression after acute lung injury. Prospective cohort study. Twelve intensive care units in four hospitals in Baltimore, MD. Consecutive acute lung injury survivors (n = 104) monitored during 1717 intensive care unit patient-days and screened for depression at 3 months after acute lung injury. None. The prevalence of a positive screening test for depression (Hospital Anxiety and Depression subscale score > or = 8) at follow-up was 28%. After adjustment for confounders, patients with a mean daily minimum intensive care unit glucose level < 100 mg/dL had significant increases in mean depression score (2.1 points, 95% confidence interval 0.6-3.7) and in the likelihood of a positive depression screening test (relative risk 2.6, 95% confidence interval 1.2-4.2). Patients with documented hypoglycemia < 60 mg/dL during their intensive care unit stay also had greater symptoms of depression (2.0 points, 95% confidence interval 0.5-3.5; relative risk 3.6, 95% confidence interval 1.8-5.1). Other factors independently associated with a positive depression screening test included body mass index > 40 kg/m2 (relative risk 3.3, 95% confidence interval 1.2-4.2), baseline depression/anxiety (relative risk 3.9, 95% confidence interval 1.5-6.5), and mean daily intensive care unit benzodiazepine dose > 100 mg of midazolam-equivalent agent (relative risk 2.4, 95% confidence interval 1.1-3.8). Hypoglycemia in the intensive care unit is associated with an increased risk of positive screening for depression during early recovery from acute lung injury. Baseline depressive symptoms, morbid obesity, and intensive care unit benzodiazepine dose were also associated with postacute lung injury depressive symptoms. These findings warrant increased glucose monitoring for intensive care unit patients at risk for hypoglycemia and further research on how patient and intensive care unit management factors may contribute to postintensive care unit depression.

Impact of Contact and Droplet Precautions on the Incidence of Hospital-Acquired Methicillin-Resistant Staphylococcus aureus Infection

To evaluate the efficacy of contact and droplet precautions in reducing the incidence of hospital-acquired methicillin-resistant Staphylococcus aureus (MRSA) infections. Before-after study.Setting. A 439-bed, university-affiliated community hospital. To identify inpatients infected or colonized with MRSA, we conducted surveillance of S. aureus isolates recovered from clinical culture and processed by the hospital's clinical microbiology laboratory. We then reviewed patient records for all individuals from whom MRSA was recovered. The rates of hospital-acquired MRSA infection were tabulated for each area where patients received nursing care. After a baseline period, contact and droplet precautions were implemented in all intensive care units (ICUs). Reductions in the incidence of hospital-acquired MRSA infection in ICUs led to the implementation of contact precautions in non-ICU patient care areas (hereafter, "non-ICU areas"), as well. Droplet precautions were discontinued. An analysis comparing the rates of hospital-acquired MRSA infection during different intervention periods was performed. The combined baseline rate of hospital-acquired MRSA infection was 10.0 infections per 1,000 patient-days in the medical ICU (MICU) and surgical ICU (SICU) and 0.7 infections per 1,000 patient-days in other ICUs. Following the implementation of contact and droplet precautions, combined rates of hospital-acquired MRSA infection in the MICU and SICU decreased to 4.3 infections per 1,000 patient-days (95% confidence interval [CI], 0.17-0.97; P=.03). There was no significant change in hospital-acquired MRSA infection rates in other ICUs. After the discontinuation of droplet precautions, the combined rate in the MICU and SICU decreased further to 2.5 infections per 1,000 patient-days. This finding was not significant (P=.43). In the non-ICU areas that had a high incidence of hospital-acquired MRSA infection, the rate prior to implementation of contact precautions was 1.3 infections per 1,000 patient-days. After the implementation of contact precautions, the rate in these areas decreased to 0.9 infections per 1,000 patient-days (95% CI, 0.47-0.94; P=.02). The implementation of contact precautions significantly decreased the rate of hospital-acquired MRSA infection, and discontinuation of droplet precautions in the ICUs led to a further reduction. Additional studies evaluating specific infection control strategies are needed.

Managing diarrhoea in intensive care

To assess the incidence of diarrhoea in intensive care patients with a length of stay (LOS) greater than 3 days who were receiving any type of enteral tube feeding, and to measure the effect of implementing a bowel management protocol. A 2-year prospective audit, with an intervention after 12 months. Diarrhoea was defined as bowel activity exceeding three stools of any consistency per day, or three or more unformed stools (or 300 mL) per day, for two consecutive days. A tertiary referral intensive care unit (ICU) in a large public hospital. Six hundred fifty-six consecutive patients admitted to ICU with a LOS >3 days. A bowel management protocol was implemented to address both diarrhoea and constipation. Number of patients who experienced diarrhoea during their ICU stay; number of ICU patient-days on which diarrhoea occurred. After the protocol was implemented, diarrhoea was experienced by 13% fewer patients (p = 0.0002) and occurred on 8% fewer ICU days (p < 0.0001). Use of an evidence-based protocol, and improved monitoring and reporting of bowel activity, can decrease the incidence of diarrhoea in ICU patients.

Minimizing errors of omission: Behavioural rEenforcement of Heparin to Avert Venous Emboli: The BEHAVE Study*

To improve patient safety by increasing heparin thromboprophylaxis for medical-surgical intensive care unit patients using a multiple-method approach to evidence-based guideline development and implementation. Prospective longitudinal observational study. Medical-surgical intensive care unit. Multidisciplinary clinicians caring for critically ill patients in a 15-bed medical-surgical closed intensive care unit. Phase 1 was a 3-month baseline period during which we documented anticoagulation and mechanical thromboprophylaxis. Phase 2 was a 1-yr period in which we implemented a thromboprophylaxis guideline using a) interactive multidisciplinary educational in-services; b) verbal reminders to the intensive care unit team; c) computerized daily nurse recording of thromboprophylaxis; d) weekly graphic feedback to individual intensivists on guideline adherence; and e) publicly displayed graphic feedback on group performance. Phase 3 was a 3-month follow-up period 10 months later, during which we documented thromboprophylaxis. Computerized daily nurse recording of thromboprophylaxis continued in this period. Intensive care unit and hospital mortality rates were similar across phases, although patients in phase 2 had higher Acute Physiology and Chronic Health Evaluation II scores than patients in phases 1 and 3. The proportion (median % [interquartile range]) of intensive care unit patient-days of heparin thromboprophylaxis in phases 1, 2, and 3 was 60.0 (0, 100), 90.9 (50, 100), and 100.0 (60, 100), respectively (p=.01). The proportion (median % [interquartile range]) of days during which heparin thromboprophylaxis was omitted in error in phases 1, 2, and 3 was 20 (0, 53.8), 0 (0, 6.3), and 0 (0, 0), respectively (p<.001). After development and implementation of an evidence-based thromboprophylaxis guideline, we found significantly more patients receiving heparin thromboprophylaxis. Guideline adherence was maintained 1 yr later. Further research is needed on which are the most effective strategies to implement patient safety initiatives in the intensive care unit.

The proportion of intensive care unit admissions related to alcohol use: a prospective cohort study

Alcohol abuse is a risk factor for serious illnesses, and a history of chronic alcohol abuse adversely affects the outcome of critically ill patients. It is not known what proportion of intensive care unit (ICU) admissions is related to alcohol use. Therefore, we investigated the proportion of emergency admissions related to alcohol. A prospective cohort study was conducted in a university hospital ICU. All adult patients (n = 893) who underwent emergency admission to our ICU during a period of 1 year were studied. The admitting physician determined whether there was a relationship between alcohol use and admission. ICU and hospital mortality and ICU length of stay (LOS) were recorded. The Therapeutic Intervention Scoring System (TISS) was used for ICU resource use estimation. There was a relationship between alcohol use and admission in 24% (215/893) of admissions and, in 156/893 admissions (17.5%), this seemed to be definite. ICU LOS was 1.2 days (0.7; 2.3) (median; interquartile range) for alcohol-related and 1.8 days (0.9; 3.6) for other admissions (P < 0.001). Patients with alcohol-related admissions consumed 17.8% of ICU patient-days and 18.7% of all accumulated TISS scores. ICU (8.8 vs. 10.5%, P = 0.603) and hospital (19.1 vs. 20.2%, P = 0.769) mortalities were no different between alcohol-related and other admissions. ICU admission is very often related to long-term chronic and/or occasional alcohol use.