An Automated Algorithm to Preselect Patients to Be Assessed Individually in Point Prevalence Surveys for Hospital-Acquired Infections in Surgery
2014 ◽
Vol 35
(7)
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pp. 886-887
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Keyword(s):
In this pilot study, we evaluate an algorithm that uses predictive clinical and laboratory parameters to differentiate between patients with hospital-acquired infection (HAI) and patients without HAI. Seventy-four percent of the studied population of surgical patients could be reliably (negative predictive value of 98%) excluded from detailed assessment by the infection control practitioner.Infect Control Hosp Epidemiol 2014;35(7):886-887
2021 ◽
Vol 27
(11)
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pp. 296-302
2008 ◽
Vol 29
(12)
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pp. 1167-1170
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2013 ◽
Vol 34
(8)
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pp. 844-846
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2003 ◽
Vol 16
(2)
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pp. 71-84
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2020 ◽
Vol 5
(06)
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