Emerging Infectious Disease ISSN: 1080-6059

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Fatal Infectious Disease Surveillance in a Medical Examiner Database¹

Mitchell I. Wolfe*

, 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 infections^a	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 only^a
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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