Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Benet T

PROVIDER: S-EPMC3580751 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature

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Publications

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

Bénet Thomas T Allaouchiche Bernard B Argaud Laurent L Vanhems Philippe P

Critical care (London, England) 20120821 4

<h4>Introduction</h4>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.<h4>Methods</h4>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 ...[more]

PMID: 22909033

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Project description:ImportanceNon-ventilator-associated hospital-acquired pneumonia (NV-HAP) is a common and deadly hospital-acquired infection. However, inconsistent surveillance methods and unclear estimates of attributable mortality challenge prevention.ObjectiveTo estimate the incidence, variability, outcomes, and population attributable mortality of NV-HAP.Design, setting, and participantsThis cohort study retrospectively applied clinical surveillance criteria for NV-HAP to electronic health record data from 284 US hospitals. Adult patients admitted to the Veterans Health Administration hospital from 2015 to 2020 and HCA Healthcare hospitals from 2018 to 2020 were included. The medical records of 250 patients who met the surveillance criteria were reviewed for accuracy.ExposuresNV-HAP, defined as sustained deterioration in oxygenation for 2 or more days in a patient who was not ventilated concurrent with abnormal temperature or white blood cell count, performance of chest imaging, and 3 or more days of new antibiotics.Main outcomes and measuresNV-HAP incidence, length-of-stay, and crude inpatient mortality. Attributable inpatient mortality by 60 days follow-up was estimated using inverse probability weighting, accounting for both baseline and time-varying confounding.ResultsAmong 6 022 185 hospitalizations (median [IQR] age, 66 [54-75] years; 1 829 475 [26.1%] female), there were 32 797 NV-HAP events (0.55 per 100 admissions [95% CI, 0.54-0.55] per 100 admissions and 0.96 per 1000 patient-days [95% CI, 0.95-0.97] per 1000 patient-days). Patients with NV-HAP had multiple comorbidities (median [IQR], 6 [4-7]), including congestive heart failure (9680 [29.5%]), neurologic conditions (8255 [25.2%]), chronic lung disease (6439 [19.6%]), and cancer (5,467 [16.7%]); 24 568 cases (74.9%) occurred outside intensive care units. Crude inpatient mortality was 22.4% (7361 of 32 797) for NV-HAP vs 1.9% (115 530 of 6 022 185) for all hospitalizations; 12 449 (8.0%) were discharged to hospice. Median [IQR] length-of-stay was 16 (11-26) days vs 4 (3-6) days. On medical record review, pneumonia was confirmed by reviewers or bedside clinicians in 202 of 250 patients (81%). It was estimated that NV-HAP accounted for 7.3% (95% CI, 7.1%-7.5%) of all hospital deaths (total hospital population inpatient death risk of 1.87% with NV-HAP events included vs 1.73% with NV-HAP events excluded; risk ratio, 0.927; 95% CI, 0.925-0.929).Conclusions and relevanceIn this cohort study, NV-HAP, which was defined using electronic surveillance criteria, was present in approximately 1 in 200 hospitalizations, of whom 1 in 5 died in the hospital. NV-HAP may account for up to 7% of all hospital deaths. These findings underscore the need to systematically monitor NV-HAP, define best practices for prevention, and track their impact.

Project description:BackgroundIt is essential to determine the distribution of the causative microorganisms in the region and the status of local antibiotic resistance for the proper treatment of hospital-acquired pneumonia/ventilator-associated pneumonia (HAP/VAP). This study aimed to investigate the occurrence and causative strains of HAP/VAP, distribution of resistant bacteria, use of antibiotics, and the ensuing outcomes of patients in Korea.MethodsA multicenter prospective observational cohort study was conducted among patients with HAP/VAP admitted to the medical intensive care unit of 5 tertiary referral centers between August 2012 and June 2015. Patients' demographic and clinical data were collected.ResultsA total of 381 patients were diagnosed with HAP/VAP. Their median age was 69 (59-76) years and 71% were males. A majority of the patients (88%) had late-onset (> 5 days) HAP/VAP. One-quarter of the patients (n = 99) had at least one risk factor for multidrug-resistant (MDR) pathogens, such as prior intravenous antibiotic use within the last 90 days. Microbiological specimens were mostly obtained noninvasively (87%) using sputum or endotracheal aspirates. Pathogens were identified in 235 (62%) of the 381 patients. The most common bacterial pathogen was Acinetobacter baumannii (n = 89), followed by Staphylococcus aureus (n = 52), Klebsiella pneumoniae (n = 25) and Pseudomonas aeruginosa (n = 22). Most of isolated A. baumannii (97%) and S. aureus (88%) were multidrug resistant. The most commonly used empirical antibiotic regimens were carbapenem-based antibiotics (38%), followed by extended-spectrum penicillin/β-lactamase inhibitor (34%). Glycopeptide or linezolid were also used in combination in 54% of patients. The 28-day mortality rate of the patients with HAP/VAP was 30% and the 60-day mortality was 46%. Patients who used empirical antibiotics appropriately had significantly lower mortality rates than those who did not (28-day mortality: 25% vs. 40%, P = 0.032; 60-day mortality: 41% vs. 55%, P = 0.032, respectively). Administration of appropriate empirical antibiotics (odds ratio [OR], 0.282; confidence interval [CI], 0.092-0.859; P = 0.026), Day 7 treatment failure (OR, 4.515; CI, 1.545-13.192; P = 0.006), and APACHE II score on day 1 (OR, 1.326; CI, 0.988-1.779; P = 0.012) were the factors that determined the 28-day mortality in patients with HAP who had identified bacteria as pathogens.ConclusionIn HAP/VAP patients, there was a large burden of MDR pathogens, and their associated mortality rate was high. Proper selection of empirical antibiotics was significantly associated with the patient's prognosis; however, there was a discrepancy between major pathogens and empirical antibiotic therapy.

Project description:BackgroundSocial and hospital environmental factors that may be associated with hospital-acquired pneumonia (HAP) have not been evaluated. Comprehensive risk assessment for the incidence of HAP including sociodemographic, clinical, and hospital environmental factors was conducted using national health insurance claims data.MethodsThis is a population-based retrospective cohort study of adult patients who were hospitalized for more than 3 days from the Health Insurance Review and Assessment Service-National Inpatient Sample data between January 1, 2016 and December 31, 2018 in South Korea. Multivariable logistic regression analyses were conducted to identify the factors associated with the incidence of HAP.ResultsAmong the 512,278 hospitalizations, we identified 25,369 (5.0%) HAP cases. In multivariable analysis, well-known risk factors associated with HAP such as older age (over 70 vs. 20-29; adjusted odds ratio [aOR], 3.66; 95% confidence interval [CI] 3.36-3.99), male sex (aOR, 1.35; 95% CI 1.32-1.39), pre-existing lung diseases (asthma [aOR, 1.73; 95% CI 1.66-1.80]; chronic obstructive pulmonary disease [aOR, 1.62; 95% CI 1.53-1.71]; chronic lower airway disease [aOR, 1.79; 95% CI 1.73-1.85]), tube feeding (aOR, 3.32; 95% CI 3.16-3.50), suctioning (aOR, 2.34; 95% CI 2.23-2.47), positioning (aOR, 1.63; 95% CI 1.55-1.72), use of mechanical ventilation (aOR, 2.31; 95% CI 2.15-2.47), and intensive care unit admission (aOR, 1.29; 95% CI 1.22-1.36) were associated with the incidence of HAP. In addition, poverty (aOR, 1.08; 95% CI 1.04-1.13), general hospitals (aOR, 1.54; 95% CI 1.39-1.70), higher bed-to-nurse ratio (Grade ≥ 5; aOR, 1.45; 95% CI 1.32-1.59), higher number of beds per hospital room (6 beds; aOR, 3.08; 95% CI 2.77-3.42), and ward with caregiver (aOR, 1.19; 95% CI 1.12-1.26) were related to the incidence of HAP.ConclusionsThe incidence of HAP was associated with various sociodemographic, clinical, and hospital environmental factors. Thus, taking a comprehensive approach to prevent and treat HAP is important.

Project description:BackgroundHospital-acquired pneumonia (HAP) is the most common health care-associated infection contributing to death. Studies have indicated that there may be differences in the causative pathogens and outcomes of ventilator-associated pneumonia (VAP) and non-ventilator-associated pneumonia (NV-HAP). However, with limited NV-HAP-specific data available, treatment is generally based on data from studies of VAP. The Phase 3 Assessment of Telavancin for Treatment of Hospital-Acquired Pneumonia (ATTAIN) studies were two double-blind randomized controlled trials that demonstrated the non-inferiority of telavancin to vancomycin for treatment of Gram-positive HAP. We conducted a post hoc subgroup analysis of patients enrolled in the ATTAIN studies who had NV-HAP.MethodsData from the two ATTAIN studies were pooled, and patients with NV-HAP were analyzed. The all-treated (AT) population consisted of all randomized patients who received ≥1 dose of study medication, and the clinically evaluable (CE) population consisted of AT patients who were protocol-adherent or who died on or after study day 3, where death was attributable to the HAP episode under study. The primary endpoint was clinical response (cure, failure, or indeterminate) at the follow-up/test of cure visit, conducted 7-14 days after the end of therapy.ResultsA total of 1,076 patients (71.6% of overall ATTAIN AT population) had NV-HAP (533 and 543 patients in the telavancin and vancomycin treatment groups, respectively). Clinical cure rates in the CE population were similar for patients with NV-HAP treated with telavancin and vancomycin (83.1% [201/242] and 84.1% [233/277], respectively). In patients with methicillin-resistant Staphylococcus aureus isolated at baseline, cure rates in the CE population were 74.8% (77/103) for telavancin and 79.3% (96/121) for vancomycin. The incidence of adverse events, serious adverse events, and deaths in patients with NV-HAP was similar whether patients received telavancin or vancomycin.ConclusionThis post hoc subgroup analysis of the ATTAIN studies demonstrated similar cure rates for telavancin and vancomycin for treatment of NV-HAP.

Dataset Information

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

Introduction

Methods

Results

Conclusions

Publications

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

Similar Datasets

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