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  • 1
    Online Resource
    Online Resource
    Device-Associated Infection Rates in 20 Cities of India, Data Summary for 2004–2013: Findings of the International Nosocomial Infection Control Consortium
    Cambridge University Press (CUP) ; 2016
    In:  Infection Control & Hospital Epidemiology Vol. 37, No. 2 ( 2016-02), p. 172-181
    Details
    In: Infection Control & Hospital Epidemiology, Cambridge University Press (CUP), Vol. 37, No. 2 ( 2016-02), p. 172-181
    Abstract: To report the International Nosocomial Infection Control Consortium surveillance data from 40 hospitals (20 cities) in India 2004–2013. METHODS Surveillance using US National Healthcare Safety Network’s criteria and definitions, and International Nosocomial Infection Control Consortium methodology. RESULTS We collected data from 236,700 ICU patients for 970,713 bed-days Pooled device-associated healthcare-associated infection rates for adult and pediatric ICUs were 5.1 central line–associated bloodstream infections (CLABSIs)/1,000 central line–days, 9.4 cases of ventilator-associated pneumonia (VAPs)/1,000 mechanical ventilator–days, and 2.1 catheter-associated urinary tract infections/1,000 urinary catheter–days In neonatal ICUs (NICUs) pooled rates were 36.2 CLABSIs/1,000 central line–days and 1.9 VAPs/1,000 mechanical ventilator–days Extra length of stay in adult and pediatric ICUs was 9.5 for CLABSI, 9.1 for VAP, and 10.0 for catheter-associated urinary tract infections. Extra length of stay in NICUs was 14.7 for CLABSI and 38.7 for VAP Crude extra mortality was 16.3% for CLABSI, 22.7% for VAP, and 6.6% for catheter-associated urinary tract infections in adult and pediatric ICUs, and 1.2% for CLABSI and 8.3% for VAP in NICUs Pooled device use ratios were 0.21 for mechanical ventilator, 0.39 for central line, and 0.53 for urinary catheter in adult and pediatric ICUs; and 0.07 for mechanical ventilator and 0.06 for central line in NICUs. CONCLUSIONS Despite a lower device use ratio in our ICUs, our device-associated healthcare-associated infection rates are higher than National Healthcare Safety Network, but lower than International Nosocomial Infection Control Consortium Report. Infect. Control Hosp. Epidemiol. 2016;37(2):172–181
    Type of Medium: Online Resource
    ISSN: 0899-823X , 1559-6834
    URL: Article
    DOI: 10.1017/ice.2015.276
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2016
    detail.hit.zdb_id: 2106319-9
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  • 2
    Online Resource
    Online Resource
    Risk factors for mortality over 18 years in 317 ICUs in 9 Asian countries: The impact of healthcare-associated infections
    Cambridge University Press (CUP) ; 2023
    In:  Infection Control & Hospital Epidemiology Vol. 44, No. 8 ( 2023-08), p. 1261-1266
    Details
    In: Infection Control & Hospital Epidemiology, Cambridge University Press (CUP), Vol. 44, No. 8 ( 2023-08), p. 1261-1266
    Abstract: To identify risk factors for mortality in intensive care units (ICUs) in Asia. Design: Prospective cohort study. Setting: The study included 317 ICUs of 96 hospitals in 44 cities in 9 countries of Asia: China, India, Malaysia, Mongolia, Nepal, Pakistan, Philippines, Sri Lanka, Thailand, and Vietnam. Participants: Patients aged 〉 18 years admitted to ICUs. Results: In total, 157,667 patients were followed during 957,517 patient days, and 8,157 HAIs occurred. In multiple logistic regression, the following variables were associated with an increased mortality risk: central-line–associated bloodstream infection (CLABSI; aOR, 2.36; P 〈 .0001), ventilator-associated event (VAE; aOR, 1.51; P 〈 .0001), catheter-associated urinary tract infection (CAUTI; aOR, 1.04; P 〈 .0001), and female sex (aOR, 1.06; P 〈 .0001). Older age increased mortality risk by 1% per year (aOR, 1.01; P 〈 .0001). Length of stay (LOS) increased mortality risk by 1% per bed day (aOR, 1.01; P 〈 .0001). Central-line days increased mortality risk by 2% per central-line day (aOR, 1.02; P 〈 .0001). Urinary catheter days increased mortality risk by 4% per urinary catheter day (aOR, 1.04; P 〈 .0001). The highest mortality risks were associated with mechanical ventilation utilization ratio (aOR, 12.48; P 〈 .0001), upper middle-income country (aOR, 1.09; P = .033), surgical hospitalization (aOR, 2.17; P 〈 .0001), pediatric oncology ICU (aOR, 9.90; P 〈 .0001), and adult oncology ICU (aOR, 4.52; P 〈 .0001). Patients at university hospitals had the lowest mortality risk (aOR, 0.61; P 〈 .0001). Conclusions: Some variables associated with an increased mortality risk are unlikely to change, such as age, sex, national economy, hospitalization type, and ICU type. Some other variables can be modified, such as LOS, central-line use, urinary catheter use, and mechanical ventilation as well as and acquisition of CLABSI, VAE, or CAUTI. To reduce mortality risk, we shall focus on strategies to reduce LOS; strategies to reduce central-line, urinary catheter, and mechanical ventilation use; and HAI prevention recommendations.
    Type of Medium: Online Resource
    ISSN: 0899-823X , 1559-6834
    URL: Article
    DOI: 10.1017/ice.2022.245
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2106319-9
    Location Call Number Limitation Availability
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