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Volume 10, Number 1—January 2004
Research

Fatal Infectious Disease Surveillance in a Medical Examiner Database1

Mitchell I. Wolfe*Comments to Author , Kurt B. Nolte*†, and Steven S. Yoon*
Author affiliations: *Centers for Disease Control and Prevention, Atlanta, Georgia, USA; †Office of the Medical Investigator, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA

Main Article

Table

Sensitivity and predictive value positive (PVP) of algorithm 1 and algorithm 2 applied to the truncated and full-text datasets, compared by manner of death and infection as cause of death

Truncated dataset Full-text dataset
All causes of death Natural and undetermined causes of death All causes of death Natural and undetermined causes of death
ICOD and incidental infectionsa Sensitivity PVP Sensitivity PVP Sensitivity PVP Sensitivity PVP
Algorithm 1 67% (51/76) 1 39% (51/131) 1 73% (46/63) 2 49% (46/94) 2 92% (70/76) 5 8% (70/937) 5 87% (55/63) 6 17% (55/315) 6
Algorithm 2 n/a 93% (71/76) 7 20% (71/356) 7 94% (58/62) 8 30% (58/196) 8
ICOD onlya
Algorithm 1 92% (46/50) 3 49% (46/94) 3 93% (42/45) 4 45% (42/94)4 88% (44/50) 9 5% (44/937) 9 89% (40/45)10 13% (40/315)10
Algorithm 2 n/a 90% (45/50) 11 13% (45/356) 11 91% (41/45) 12 21% (41/196) 12

aICOD, infectious cause of death.
bNumber in bold in lower right corner of each cell corresponds to results of 2 x 2 table shown in Figure 3.

Main Article

1 Findings from this study were presented at the 39th Annual Meeting of the Infectious Diseases Society of America, San Francisco, California, October 25–28, 2001.

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