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Abstract
Background
In this report, we present the annual data of the intensive care unit (ICU) module of the Korean National Healthcare-associated Infections Surveillance System (KONIS) from July 2016 through June 2017.
Methods
We performed a prospective surveillance of healthcare-associated urinary tract infection (UTI), bloodstream infection (BSI), and pneumonia (PNEU) at 285 ICUs in 193 hospitals using KONIS surveillance system. Healthcare-associated infection (HAI) and device-associated infection rates were calculated as the numbers of infections per 1,000 patient-days (PD) and device-days (DD), respectively. Device utilization was calculated as a ratio of device days to patient days.
Results
A total of 3,989 HAIs were found during the study period; 1,241 UTIs (1,189 cases were urinary catheter-associated), 1,757 BSIs (1,481 were central line-associated), and 991 PNEUs (480 were ventilator-associated). The rate of urinary catheter-associated UTIs (CAUTI) was 1.01 cases per 1,000 DD (95% confidence interval [CI], 0.95–1.07) and urinary catheter utilization ratio was 0.85 (95% CI, 0.849–0.851). These were higher than the data of the previous year, 0.88/1,000 DD (95% CI, 0.825–0.95) and 0.84 (95% CI 0.8395–0.841), respectively. The rate of central line-associated BSIs was 2.23/1,000 DD (95% CI, 2.12–2.35) while the central line utilization ratio was 0.48 (95% CI, 0.479–0.481). The rate of ventilator-associated PNEUs was 1.00/1,000 DD (95% CI, 0.91–1.09) while the ventilator utilization ratio was 0.35 (95% CI, 0.349–0.351).
Figures and Tables
Table 1
Characteristics of hospitals and intensive care units participated in KONIS, July 2016 through June 2017
Table 2
Pooled means of healthcare-associated infection rates, by number of hospital beds, July 2016 through June 2017
*Pooled mean=(No. of UTIs, BSIs, or PNEUs/No. of patient-days)×1,000; †Pooled mean=(No. of UTIs/No. of patient-days)×1,000; ‡Pooled mean=(No. of BSIs/No. of patient-days)×1,000; §Pooled mean=(No. of PNEUs/No. of patient-days)×1,000.
Abbreviations: UTI, urinary tract infection; BSI, bloodstream infection; PNEU, pneumonia; CI, confidence interval.
Table 3
Pooled means and percentiles of the device-associated infection rates, by number of hospital beds, July 2016 through June 2017
*Pooled mean=(No. of urinary catheter-associated UTIs/No. of urinary catheter-days)×1,000; †Pooled mean=(No. of central line-associated BSIs/No. of central line-days)×1,000; ‡Pooled mean=(No. of ventilator-associated PNEUs/No. of ventilator-days)×1,000.
Abbreviations: UTI, urinary tract infection; BSI, bloodstream infection; PNEU, pneumonia; CI, confidence interval.
Table 4
Pooled means and percentiles of the distribution of device-utilization ratios, by number of hospital beds, July 2016 through June 2017
Table 5
Pooled means and percentiles of the distribution of device-associated infection rates, by type of ICU, July 2016 through June 2017
*Pooled mean=(No. of urinary catheter-associated UTIs/No. of urinary catheter-days)×1,000; †Pooled mean=(No. of central line-associated BSIs/No. of central line-days)×1,000; ‡Pooled mean=(No. of ventilator-associated PNEUs/No. of ventilator-days)×1,000.
Abbreviations: ICU, intensive care unit; MICU, medical ICU; MCICU, medical combined ICU; SCICU, surgical combined ICU; SICU, surgical ICU; NSICU, neurosurgical ICU; UTI, urinary tract infection; BSI, bloodstream infection; PNEU, pneumonia; CI, confidence interval.
Table 6
Pooled means and percentiles of the distribution of device-utilization ratios, by type of ICU, July 2016 through June 2017
*Pooled mean=(No. of urinary catheter-days/No. of patient-days); †Pooled mean=(No. of central line-days/No. of patient-days); ‡Pooled mean=(No. of ventilator-days/No. of patient-days).
Abbreviations: ICU, intensive care unit; MICU, medical ICU; MCICU, medical combined ICU; SCICU, surgical combined ICU; SICU, surgical ICU; NSICU, neurosurgical ICU; UTI, urinary tract infection; BSI, bloodstream infection; PNEU, pneumonia; CI, confidence interval.
Table 7
Number (%) of microorganisms isolated from clinical specimens of patients with healthcare-associated infections
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