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Advancing the science of ventilator-associated pneumonia surveillance


The landmark Study on the Efficacy of Nosocomial Infection Control definitively demonstrated that infection surveillance and control programs prevent hospital-acquired infections. The rise of public reporting, benchmarking, and pay for performance movements, however, has considerably changed the infection surveillance landscape in the 27 years since this study was published. Clinically nuanced surveillance definitions that served the profession well for many years have fallen into disfavor because their complexity and subjectivity allow for conscious and subconscious gaming. These limitations make it very difficult to determine whether changes in surveillance rates represent true changes in disease incidence or artifacts of definition subjectivity, external reporting pressures, and internal biases. Surveillance definitions need to be revised to enhance objectivity and to ensure that they detect clinically meaningful events associated with compromised outcomes. The US Centers for Disease Control and Prevention recently released modified definitions for ventilator-associated events that have the potential to make safety surveillance for ventilated patients more credible and useful once again.

The report by Bénet and colleagues in the previous issue of Critical Care is at once a welcome reminder of the pivotal importance of infection surveillance programs and a window into current weaknesses in surveillance science that threaten the credibility and utility of infection control programs [1]. Bénet and colleagues assessed the impact of a one-year lapse in surveillance in a medical-surgical ICU (surveillance stopped because the infection preventionist charged with supporting the unit became burned out - evidence, perhaps, of the under-resourcing of infection control programs). Ventilator-associated pneumonia (VAP) rates rose from 13.4 VAP cases/1,000 ventilator-days in the 3 years prior to surveillance interruption to 22.9 VAP cases/1,000 ventilator-days in the 3 years following surveillance interruption. In addition, the average duration of mechanical ventilation rose from 7.7 days to 11.3 days (P = 0.007) and hospital mortality rose from 13.5% to 18.8% (P = 0.028). VAP rates and mortality rates were stable, by contrast, in a parallel medical unit that enjoyed continuous surveillance and infection control support throughout the study period.

Bénet and colleagues' findings echo the seminal conclusions of the Study of the Efficacy of Nosocomial Infection Control (SENIC) published by the Centers for Disease Control and Prevention in 1985 [2]. The SENIC project took advantage of a natural experiment: US hospitals began establishing infection control programs of varying intensities starting in the early 1970s. SENIC investigators reviewed approximately 338,000 patient charts from 338 representative US hospitals and compared hospital-acquired infection rates in 1970 versus those in 1976. The investigators also characterized the intensity of surveillance and infection prevention activities in each hospital and then measured the association of each with changes in infection rates [3]. After adjusting for changes in population risk profiles, average lengths of stay, nurse-to-patient ratios, and other factors, SENIC investigators found that high-intensity infection surveillance and prevention programs reduced hospital infection rates by 32% while infection rates rose by 18% in hospitals without infection control programs [2].

The SENIC project cost $27 million and took over a decade to complete but it definitively established the importance of infection surveillance and control programs. The infection surveillance and reporting land scape has changed considerably, however, in the 27 years since SENIC was published. Public reporting, benchmarking, and pay for performance movements have focused considerable attention upon hospitals' VAP rates and thereby generated powerful incentives for hospitals to make their rates as low as possible [4]. Close evaluation of Bénet and colleagues' study helps illuminate current weaknesses in VAP surveillance science that are beginning to be addressed by the Centers for Disease Control and Prevention.

Bénet and colleagues made a valiant attempt to adjust for changes in patient mix and severity of illness over time, including factors such as age, gender, immunosuppression, antibiotics on ICU admission, and SAPS II score on ICU admission. Nonetheless, the dramatic rise in patients' average duration of mechanical ventilation and mortality following surveillance interruption raises the possibility of important residual differences in patient characteristics that may better account for the observed jump in VAP rates than surveillance interruption alone. Higher VAP rates alone are probably not sufficient to account for the 3.6-day increase in average duration of mechanical ventilation and the 39% increase in hospital mortality following surveillance interruption since the relative rarity of VAP tends to limit its impact on population-level outcomes. Bénet and colleagues observed a net increase of 9.3 VAP cases/100 patients: the attributable duration of mechanical ventilation for VAP would have to be about 40 days to increase the average duration of mechanical ventilation for the entire population by the observed 3.6 days. This prediction is almost eight times the additive duration of mechanical ventilation typically associated with VAP [5]. Alternatively or additionally, surveillance interruption may have led to a drop in the frequency of preventive care procedures affecting all patients, such as daily sedative interruptions and spontaneous breathing trials that could account for the observed changes in population-level outcomes as well as the increase in VAP rates [6]. Unfortunately, however, Bénet and colleagues did not present data on preventive care patterns so it is not possible to disentangle the relative contributions of changes in case mix, care patterns, and complication rates towards their patients' ultimate outcomes.

Bénet and colleagues' observed rise in VAP rates following surveillance interruption is also complicated by the strong possibility of observer bias. VAP surveillance is highly subjective. The study VAP definition included criteria such as 'lung infiltrates', 'sputum modification', 'suggestive auscultation', 'low oxyhaemoglobin saturation', and 'increased pulmonary oxygen consumption'. VAP definitions typically do not include concrete guidance on interpreting these criteria; rather, surveyors apply the criteria using their own discretion. Given that this was a retrospective study and infection surveyors were not blinded to unit identities, surveyors' conscious or subconscious expectations regarding VAP rates in a unit that foreswore infection surveillance activities for a year may have influenced their interpretations. Furthermore, the surveyor who resumed surveillance in the target unit following interruption was not the same person responsible for surveillance prior to interruption. Different observers' VAP assessments in a common population can vary by a factor of two or more [7]. We cannot know how much the increase in VAP following surveillance interruption was due to the change in surveillance personnel and different subjective assessments (perhaps influenced by sub conscious expectations) versus a bona fide rise in invasive pneumonias.

As Bénet and colleagues' study demonstrates, the problems of patient-mix adjustment and observer bias threaten to undermine the credibility of infection surveillance reports [8, 9]. Cognizant of these concerns, the Centers for Disease Control and Prevention recently proposed a new surveillance paradigm for ventilator-associated events that is designed to make surveillance objective, more reproducible, and potentially automatable in hospitals with comprehensive electronic health records [10, 11]. The new paradigm shifts the emphasis of surveillance from pneumonia in particular to ventilator-associated complications (VACs) in general. VACs are defined quantitatively on the basis of sustained increases in daily minimum positive end-expiratory pressure or fraction of inspired oxygen after at least two calendar days of stable or improving settings. Early work has shown VAC to be an independent predictor of increased length of stay and increased hospital mortality [12, 13]. Subdefinitions seek to classify VACs into infection-related events and possible and probable pneumonias on the basis of temperature changes, white blood cell counts, antibiotic prescribing, quantity of neutrophils on pulmonary specimen Gram stains, and culture results. The new surveillance definitions do not yet incorporate criteria for case-mix adjustments but this has been identified as an area for active research in the future. For the present, however, these definitions have the potential to make surveillance more objective and efficient.

Bénet and colleagues' study is a valuable reminder of the potential risk associated with under-resourcing infection surveillance and control programs. Better surveillance definitions and better case-mix adjustment protocols will help to enhance the credibility and impact of their important message.



Simplified Acute Physiology Score


Study of the Efficacy of Nosocomial Infection Control


ventilator-associated complication


ventilator-associated pneumonia.


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Correspondence to Michael Klompas.

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Klompas, M. Advancing the science of ventilator-associated pneumonia surveillance. Crit Care 16, 165 (2012).

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  • Spontaneous Breathing Trial
  • Infection Control Program
  • Nosocomial Infection Control
  • Surveillance Definition
  • Sedative Interruption