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Volume 10, Number 9—September 2004

Research

Computer Algorithms To Detect Bloodstream Infections

William E. Trick*Comments to Author , Brandon M. Zagorski†, Jerome I. Tokars*, Michael O. Vernon†, Sharon F. Welbel†‡§, Mary F. Wisniewski†‡, Chesley Richards*, and Robert A. Weinstein†‡§
Author affiliations: *Centers for Disease Control and Prevention, Atlanta, Georgia, USA; †Chicago Antimicrobial Resistance Project, Chicago, Illinois, USA; ‡Cook County Hospital, Chicago, Illinois, USA; §Rush Medical College, Chicago, Illinois, USA

Main Article

Figure 1

Flowchart displaying the determinations necessary for categorizing positive blood culture by computer algorithm. The rules described in Table 1 are in bold. Blood cultures were obtained from patients at Cook County and Provident Hospitals, September 1, 2001–February 28, 2002, Chicago, Illinois. BSI, blood stream infection; CVC, central-venous catheter. aSame species isolated from blood within 30 days. bRule B1 or B2 (Table 1). cRule C1 or C2 (Table 1). dRule A (Table 1). eRule D (Table 1).

Figure 1. Flowchart displaying the determinations necessary for categorizing positive blood culture by computer algorithm. The rules described in Table 1 are in bold. Blood cultures were obtained from patients at Cook County and Provident Hospitals, September 1, 2001–February 28, 2002, Chicago, Illinois. BSI, blood stream infection; CVC, central-venous catheter. aSame species isolated from blood within 30 days. bRule B1 or B2 (Table 1). cRule C1 or C2 (Table 1). dRule A (Table 1). eRule D (Table 1).

Main Article

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