Surveillance for hospital-acquired infections on surgical wards in a Dutch university hospital

Preoperative and operation-related risk factors for postoperative nosocomial infections in pediatric patients: A retrospective cohort study

Background

Pediatric patients undergoing invasive operations bear extra risk of developing nosocomial infections (NIs). However, epidemiological evidence of the underlying risk factors, which is needed for early prevention, remains limited.

Methods

Using data from the electronic medical records and the NI reporting system of a tertiary pediatric hospital, we conducted a retrospective analysis to identify preoperative and operation-related risk factors for postoperative NIs. Multivariable accelerated failure time models were fitted to select independent risk factors. The performance of these factors in risk stratification was examined by comparing the empirical risks between the model-defined low- and high-risk groups.

Results

A total of 18,314 children undergoing invasive operations were included for analysis. After a follow-up period of 154,700 patient-days, 847 postoperative NIs were diagnosed. The highest postoperative NI rate was observed for operations on hemic and lymphatic system. Surgical site infections were the NI type showing the highest overall risk; however, patients were more likely to develop urinary tract infections in the first postoperative week. Older age, higher weight-for-height z-score, longer preoperative ICU stay, preoperative enteral nutrition, same-day antibiotic prophylaxis, and higher hemoglobin level were associated with delayed occurrence of postoperative NIs, while longer preoperative hospitalization, longer operative duration, and higher American Society of Anesthesiologists score showed acceleration effects. Risk stratification based on these factors in an independent patient population was moderate, resulting in a high-risk group in which 72% of the postoperative NIs were included.

Conclusions

Our findings suggest that pediatric patients undergoing invasive operations and at high risk of developing postoperative NIs are likely to be identified using basic preoperative and operation-related risk factors, which together might lead to moderately accurate risk stratification but still provide valuable information to guide early and judicious prevention.

Prevalence of Hospital-Acquired Infections During Successive Surveillance Surveys Conducted at a University Hospital in The Netherlands

Objective.

To monitor hospital-wide trends in the prevalence of hospital-acquired infections (HAIs) in order to identify areas where the risk of infection is increasing.

Methods.

Successive surveillance surveys were conducted twice yearly, from November 2001 until May 2004, to determine the prevalence of HAIs at 2 Dutch hospitals, using Centers for Disease Control and Prevention criteria.

Results.

In all, 340 HAIs were observed in 295 (11.1%) of 2,661 patients surveyed. The overall prevalence per survey varied from 10.2% to 15.6%, with no significant differences between successive surveys. In the surgical department, the prevalence of HAIs increased from 10.8 cases per 100 surgeries in November 2001 to 20.4 cases per 100 surgeries in May 2002. Further analysis revealed a high prevalence of surgical site infection among patients who had an orthopedic procedure performed. In the neurology-neurosurgery department, the prevalence increased from 13.0 cases per 100 patients in May 2002 to 26.6 cases per 100 patients in May 2003 and involved several types of infection. Further analysis retrieved exceptionally high incidences of infections associated with cerebrospinal fluid drainage. Specific infection control interventions were developed and implemented in both departments. The total cost of the surveys was estimated to be €9,100 per year.

Conclusion.

Successive performance of surveillance surveys is a simple and cheap method to monitor the prevalence of infection throughout the hospital and appeared instrumental in identifying 2 departments with increased infection rates.

Microecology of Infections Associated with Surgery and Trauma

Trauma is one of the leading worldwide causes of death at present and fatal trauma cases are the fourth highest cause of death in youths. As a consequence of improved emergency medical treatment, early death rates (48 h post injury) have been significantly reduced. However, death rates resulting from trauma-related complications have not diminished. The most common and dangerous complication that can develop post surgery/trauma is infection caused by opportunistic pathogens, which pose a significant challenge to the healing process ^[1]. In addition to interference with the healing process and direct damage to infected tissues caused by the infecting organism, systemic complications, including acute respiratory distress syndrome (ARDS), multiple organ dysfunction syndrome (MODS), systemic inflammatory response syndrome (SIRS) and acute renal failure (ARF) can develop. These complications significantly exacerbate a patient’s already deteriorating health and increase recovery times that correlate directly with increased mortality. Therefore, these infections are a major threat to trauma patients, early detection and control of respective infectious agents is essential in decreasing the rates of post trauma-associated morbidity and mortality.

Predicting hospital-acquired infections by scoring system with simple parameters

Background

Hospital-acquired infections (HAI) are associated with increased attributable morbidity, mortality, prolonged hospitalization, and economic costs. A simple, reliable prediction model for HAI has great clinical relevance. The objective of this study is to develop a scoring system to predict HAI that was derived from Logistic Regression (LR) and validated by Artificial Neural Networks (ANN) simultaneously.

Methodology/Principal Findings

A total of 476 patients from all the 806 HAI inpatients were included for the study between 2004 and 2005. A sample of 1,376 non-HAI inpatients was randomly drawn from all the admitted patients in the same period of time as the control group. External validation of 2,500 patients was abstracted from another academic teaching center. Sixteen variables were extracted from the Electronic Health Records (EHR) and fed into ANN and LR models. With stepwise selection, the following seven variables were identified by LR models as statistically significant: Foley catheterization, central venous catheterization, arterial line, nasogastric tube, hemodialysis, stress ulcer prophylaxes and systemic glucocorticosteroids. Both ANN and LR models displayed excellent discrimination (area under the receiver operating characteristic curve [AUC]: 0.964 versus 0.969, p = 0.507) to identify infection in internal validation. During external validation, high AUC was obtained from both models (AUC: 0.850 versus 0.870, p = 0.447). The scoring system also performed extremely well in the internal (AUC: 0.965) and external (AUC: 0.871) validations.

Conclusions

We developed a scoring system to predict HAI with simple parameters validated with ANN and LR models. Armed with this scoring system, infectious disease specialists can more efficiently identify patients at high risk for HAI during hospitalization. Further, using parameters either by observation of medical devices used or data obtained from EHR also provided good prediction outcome that can be utilized in different clinical settings.

Hospital at home for acute respiratory patients

BACKGROUND

The issue of "hospital at home" (HAH) for acute respiratory patients is one that is still being debated, partly because economic, cultural and health service differences between locations imply that HAH schemes need to be tailored to local situations. The aim of the present study was to analyze the feasibility and effectiveness of HAH for patients with acute respiratory disease at our institution.

METHODS

Of all the patients admitted to our institution via the emergency department during a 34-day subject enrollment period, 25 with diagnoses of respiratory infection, pneumonia, pulmonary insufficiency or exacerbated chronic obstructive pulmonary disease who were living within 25 km of our center and who were willing to receive HAH care were assigned to HAH. Fifty sex-matched controls with the same diagnoses were given conventional hospital care (CHC) as inpatients. The dependent variables evaluated included time to discharge, readmissions within 3 months and deaths within 3 months.

RESULTS

There were no significant differences between the HAH and CHC groups with regard to age, diagnoses, physical and analytical findings, or co-morbidity, or with regard to deaths (HAH 16%, CHC 10%) or readmissions (HAH 17%, CHC 24%). Time to final discharge was significantly shorter for HAH patients (7 days) than for CHC patients (12 days). Some 95% of the HAH patients were satisfied and would choose HAH again.

CONCLUSIONS

HAH seems feasible for appropriately selected acute respiratory disease patients presenting in our emergency department. It frees hospital beds for other patients, its readmission and mortality rates are no higher than for conventional hospitalization, and, in general, it is favorably evaluated by patients.

Nosocomial infection surveillance and control policies

PURPOSE OF REVIEW

In the majority of countries costs for health care are increasing and strategies to reduce adverse events in medical treatment have an increasing importance. Nosocomial infection remains the most common type of complication affecting hospitalized patients. As preventive strategies have indeed become more important they now have to show not only that they are effective in reducing nosocomial infections but also that they are cost effective. This paper investigates the contribution made by articles published in the last year to the development of nosocomial-infection surveillance and control policies.

RECENT FINDINGS

At least 15 randomized controlled studies and six meta-analyses investigating various infection-control policies were published last year. They did not lead to any changes in present guidelines, but rather endorsed existing recommendations. At least nine studies were found reporting a substantial reduction in nosocomial infections by the introduction of quality management principles under routine working conditions. Furthermore there were a lot of studies published which focused on optimizing surveillance measures and investigating the use of reference data for reducing infection rates. Only seven studies estimating the burden of disease were found in the literature of the past year.

SUMMARY

The predominant opinion voiced in the studies was that in many medical institutions some 30% or more of nosocomial infections could be prevented.