Socioeconomic impact on device-associated infections in pediatric intensive care units of 16 limited-resource countries: international Nosocomial Infection Control Consortium findings.

OBJECTIVES: We report the results of the International Nosocomial Infection Control Consortium prospective surveillance study from January 2004 to December 2009 in 33 pediatric intensive care units of 16 countries and the impact of being in a private vs. public hospital and the income country level on device-associated health care-associated infection rates. Additionally, we aim to compare these findings with the results of the Centers for Disease Control and Prevention National Healthcare Safety Network annual report to show the differences between developed and developing countries regarding device-associated health care-associated infection rates. PATIENTS: A prospective cohort, active device-associated health care-associated infection surveillance study was conducted on 23,700 patients in International Nosocomial Infection Control Consortium pediatric intensive care units. METHODS: The protocol and methodology implemented were developed by International Nosocomial Infection Control Consortium. Data collection was performed in the participating intensive care units. Data uploading and analyses were conducted at International Nosocomial Infection Control Consortium headquarters on proprietary software. Device-associated health care-associated infection rates were recorded by applying Centers for Disease Control and Prevention National Healthcare Safety Network device-associated infection definitions, and the impact of being in a private vs. public hospital and the income country level on device-associated infection risk was evaluated. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Central line-associated bloodstream infection rates were similar in private, public, or academic hospitals (7.3 vs. 8.4 central line-associated bloodstream infection per 1,000 catheter-days [p < .35 vs. 8.2; p < .42]). Central line-associated bloodstream infection rates in lower middle-income countries were higher than low-income countries or upper middle-income countries (12.2 vs. 5.5 central line-associated bloodstream infections per 1,000 catheter-days [p < .02 vs. 7.0; p < .001]). Catheter-associated urinary tract infection rates were similar in academic, public and private hospitals: (4.2 vs. 5.2 catheter-associated urinary tract infection per 1,000 catheter-days [p = .41 vs. 3.0; p = .195]). Catheter-associated urinary tract infection rates were higher in lower middle-income countries than low-income countries or upper middle-income countries (5.9 vs. 0.6 catheter-associated urinary tract infection per 1,000 catheter-days [p < .004 vs. 3.7; p < .01]). Ventilator-associated pneumonia rates in academic hospitals were higher than private or public hospitals: (8.3 vs. 3.5 ventilator-associated pneumonias per 1,000 ventilator-days [p < .001 vs. 4.7; p < .001]). Lower middle-income countries had higher ventilator-associated pneumonia rates than low-income countries or upper middle-income countries: (9.0 vs. 0.5 per 1,000 ventilator-days [p < .001 vs. 5.4; p < .001]). Hand hygiene compliance rates were higher in public than academic or private hospitals (65.2% vs. 54.8% [p < .001 vs. 13.3%; p < .01]). CONCLUSIONS: Country socioeconomic level influence device-associated infection rates in developing countries and need to be considered when comparing device-associated infections from one country to another.

Time-dependent analysis of length of stay and mortality due to urinary tract infections in ten developing countries: INICC findings.

OBJECTIVES: To estimate the excess length of stay (LOS) and mortality in an intensive care unit (ICU) due to a Catheter associated urinary tract infections (CAUTI), using a statistical model that accounts for the timing of infection in 29 ICUs from 10 countries: Argentina, Brazil, Colombia, Greece, India, Lebanon, Mexico, Morocco, Peru, and Turkey. METHODS: To estimate the extra LOS due to infection in a cohort of 69,248 admissions followed for 371,452 days in 29 ICUs, we used a multi-state model, including specific censoring to ensure that we estimate the independent effect of urinary tract infection, and not the combined effects of multiple infections. We estimated the extra length of stay and increased risk of death independently in each country, and then combined the results using a random effects meta-analysis. RESULTS: A CAUTI prolonged length of ICU stay by an average of 1.59 days (95% CI: 0.58, 2.59 days), and increased the risk of death by 15% (95% CI: 3, 28%). CONCLUSIONS: A CAUTI leads to a small increased LOS in ICU. The increased risk of death due to CAUTI may be due to confounding with patient morbidity.