Epidemiologic attributes of invasive non-typhoidal Salmonella infections in Michigan, 1995--2001.
OBJECTIVE
To determine: (1) the incidence of invasive salmonellosis, (2) the distribution of specific Salmonella serotypes associated with invasive disease, and (3) the role of demographic characteristics in invasive salmonellosis in Michigan.


METHODS
We conducted a cross-sectional study using laboratory-confirmed cases of salmonellosis reported to the Michigan Department of Community Health between 1995 and 2001.


METHODS
Average annual incidences (AAIs) for invasive salmonellosis were computed, and Poisson regression analysis was used to model the association between demographic attributes and invasive salmonellosis.


RESULTS
Of 6797 cases of salmonellosis, 347 (5.1%) were characterized as invasive having an AAI of 0.5/100000. A covariate-adjusted Poisson model showed children aged <1 year to be at higher risk for invasive salmonellosis compared to adults aged 40-49 years (rate ratio (RR) 8.98, 95% confidence interval (CI) 5.69-14.17). No significant differences were found between males and females (RR 1.02, 95% CI 0.83-1.26), African-Americans and Caucasians (RR 0.95, 95% CI 0.64-1.42), and urban and rural residents (RR 0.98, 95% CI 0.76-1.26). Among the most common serotypes associated with invasive salmonellosis (Heidelberg, Typhimurium, and Enteritidis), Salmonella serotype Heidelberg had the highest blood invasiveness ratio (15.79/100).


CONCLUSIONS
Children aged <1 year, especially of minority groups, are at higher risk for invasive Salmonella infections. Invasive salmonellosis may be included in the differential diagnosis of acute bacterial infections in young children with positive stool cultures for Salmonella.
Arshad
M Mokhtar
MM
Department of Large Animal Clinical Sciences, Michigan State University, East Lansing, Michigan, USA.
Wilkins
Melinda J
MJ
Downes
Frances P
FP
Rahbar
M Hossein
MH
Erskine
Ronald J
RJ
Boulton
Mathew L
ML
Younus
Muhammad
M
Saeed
A Mahdi
AM
D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000367:Age Factors; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D005006:Ethnicity / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D015994:Incidence; D007223:Infant; D008297:Male; D008824:Michigan / Q000453:epidemiology; D008875:Middle Aged; D016012:Poisson Distribution; D012307:Risk Factors; D012424:Rural Population; D012475:Salmonella / Q000145:classification / Q000302:isolation & purification; D012480:Salmonella Infections / Q000453:epidemiology* / Q000382:microbiology*; D014505:Urban Population