Volume 26, Number 1—January 2020
Shigella Bacteremia, Georgia, USA, 2002–20121
Shigella commonly causes gastroenteritis but rarely spreads to the blood. During 2002–2012, we identified 11,262 Shigella infections through population-based active surveillance in Georgia; 72 (0.64%) were isolated from blood. Bacteremia was associated with age >18 years, black race, and S. flexneri. More than half of patients with bacteremia were HIV-infected.
Shigella is among the more common bacterial causes of diarrhea. In the United States, ≈500,000 illnesses occur annually, and prevalence ranges from 3.8 to 5 cases per 100,000 population (1,2). Transmission occurs not only through contaminated food and water but also through fecal–oral transmission; ingestion of only 10–100 Shigella organisms can cause disease (1,3). Risk factors for Shigella include daycare attendance, international travel, and men having sex with men (1,4). Although 4 main serogroups exist, S. sonnei accounts for ≈70% of US isolates, and S. flexneri accounts for ≈24% (1).
Shigella bacteremia is uncommon, and risk factors are not well described in the United States. Internationally, many patients with Shigella bacteremia are HIV infected (5,6). In the United States, case series describe Shigella bacteremia in children <1 year of age and in adults with malnutrition, HIV infection, and other immunocompromising conditions (e.g., diabetes mellitus, malignancy) (7,8). Data collected by the Georgia Department of Public Health as part of the Foodborne Disease Active Surveillance Network (FoodNet) provided an opportunity to better understand the epidemiology of Shigella bacteremia.
The Georgia Department of Public Health participates in FoodNet as part of the Emerging Infections Program, a collaboration between 10 US sites and the Centers for Disease Control and Prevention. FoodNet conducts active surveillance for laboratory-confirmed infections of 7 bacterial and 2 parasitic pathogens commonly transmitted through food (1). Georgia residents who had laboratory-confirmed Shigella were identified through FoodNet surveillance data during 2002–2012. We excluded duplicates, defined as an additional positive laboratory test within 30 days of the original diagnosis with the same Shigella serogroup. We also excluded isolates from nonblood and nonfecal sources or unknown sources from the analyses. In addition, after initial case-counts, we excluded S. boydii and S. dysenteriae because of small numbers. For patients with Shigella, we obtained HIV status from the Georgia Department of Public Health HIV surveillance data collected in the Enhanced HIV/AIDS Reporting System, which included the year of diagnosis, AIDS status, and route of HIV transmission (if known). We compared case-patient information between patients with fecal versus blood isolates and described factors associated with HIV among patients with bacteremia. We used ArcView GIS version 10.3 (https://www.esri.com) to characterize case-patients by county.
The Georgia Public Health Laboratory performed Shigella identification, serogroup determination, serotyping, and pulse-field gel electrophoresis. Detailed serogroup and serotype data were available for 2005–2012.
We analyzed data using SAS version 9.3 (https://www.sas.com). We created logistic regression models using significant variables and possible confounders and identified the final model using Score Selection.
For 2002–2012, we identified 11,262 Shigella infections among Georgia residents. During this time, 10,806 (96.0%) of cultures were isolated from feces, and 72 (0.66%) were isolated from blood. We excluded 13 S. dysentariae (1 blood isolate) and 31 S. boydii (all fecal isolates) from further analysis. Patients with Shigella bacteremia were concentrated in the Atlanta metropolitan area (Table). Fifty-three (74%) blood isolates versus 3,089 (29%) fecal isolates were from patients >18 years of age. No bacteremia cases were outbreak-associated. Only 1 (0.87%) of 114 patients with documented international travel had bacteremia. Demographic variables significantly associated with bacteremia on bivariate analysis included male sex, black race, and residence in the Atlanta metropolitan area. Analysis of clinical variables demonstrated that patients with bacteremia were more likely to be hospitalized (61% vs. 17%; p<0.001) and to die (Table). Male sex, age >18 years, and S. flexneri serotypes remained significant on multivariate analysis.
Thirty-seven (51%) of the 72 patients with bacteremia were known to be HIV-infected. All but 3 HIV-infected patients resided in the Atlanta metropolitan area. Among those known to be HIV-infected, 92% were black, 97% had a known AIDS diagnosis, 97% were male, and 68% were known to be men who have sex with men (MSM), a risk factor for HIV acquisition.
Among Shigella fecal isolates typed from 2005 to 2012, S. sonnei predominated (6,017 [89%] vs. 710 [10%] S. flexneri). In contrast, equal numbers of S. sonnei and S. flexneri (26 cases each) were identified from blood (p<0.01 for the difference between proportions in the blood vs. feces). S. flexneri serotype 2a comprised 5 isolates, serotype 3 comprised 6 isolates, and serotype 4a comprised 9 isolates, for a total of 85% of these 26 isolates. No serogroup trend over time was apparent with S. flexneri; the number of bacteremia cases ranged from 1 to 8 per year, peaking in 2009, with a single case each in 2002, 2006, and 2008. For S. sonnei, 2–6 bacteremia cases were identified per year, peaking in 2003, with a single case each in 2009 and 2010. Among bacteremia patients with serogroup determination, factors associated with HIV infection were black race (odds ratio 5.2 [95% CI 1.3–20.6]) and S. flexneri infection (odds ratio 40.4 [95% CI 8.0–204.9]).
The relative predominance of S. flexneri among blood isolates in comparison to fecal isolates in this analysis is noteworthy. In other large international series, S. flexneri has been identified in most bacteremia patients (5,8,9). More than half of the bacteremia patients in our study were known to be HIV-infected. Other researchers have noted the prominence of S. flexneri among MSM and HIV-infected persons (1,4,10,11). In data from South Africa, S. flexneri serotype 2a was also identified in 30% of invasive isolates (6). It is unclear whether these serotypes might have increased virulence or might be more common because of transmission networks, particularly among the HIV-infected patients in this study. It is clear, however, that HIV infection correlates with the epidemiology of Shigella bacteremia, particularly in the Atlanta area. Some of the demographic factors associated with bacteremia (e.g., black race, identification of S. flexneri) also were associated with HIV infection within the subset of patients with bacteremia. The predominance of the MSM risk factor among HIV-infected patients, along with the low infectious dose and possibility of sexual transmission of Shigella, make it possible that we could be missing outbreaks within this population (7). Clinicians caring for HIV-infected patients should be aware of the possibility of Shigella bacteremia. Additionally, identification of Shigella bacteremia in an adult should prompt HIV testing unless another immunocompromising condition exists.
Limitations of our study include the unavailability of epidemiologic and clinical data for all patients in the study. We had information about HIV status only for patients with Shigella bacteremia. Other clinical characteristics that might be associated with Shigella bacteremia were not collected and could not be analyzed (e.g., malignancy, transplantation) (4,10). Finally, some epidemiologic information and detailed identification of Shigella serogroups and serotypes was not available until 2005.
In summary, although S. sonnei predominated among fecal isolates in this study, similar numbers of S. sonnei and S. flexneri were identified in blood cultures. Shigella bacteremia, particularly when caused by S. flexneri, should prompt evaluation for a concomitant HIV infection among certain adult populations.
Dr. Tobin-D´Angelo is the team lead for foodborne and waterborne diseases and outbreaks at the Georgia Department of Public Health and the Georgia representative to FoodNet. Her primary research interests include foodborne and waterborne infections and the impact of changes in laboratory testing on the surveillance of infectious diseases.
We thank Rodriques Lambert for linking of HIV data. We also thank Monica M. Farley and Wendy Baughman for oversight of collection of Shigella surveillance data.
This study was funded through the Centers for Disease Control and Prevention cooperative agreement 1U50CK000196-01.
Conflict of interest: E.J.A. received funding outside of this current study from Abbvie for consulting; MedImmune, Regeneron, and NovaVax for funding to institutions for clinical trials; and MedImmune for editorial assistance.
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TableCite This Article
Original Publication Date: November 21, 2019
1The findings of this study were presented in part at IDWeek 2013, October 2–6, 2013, San Francisco, CA, USA.
Table of Contents – Volume 26, Number 1—January 2020
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