| Literature DB >> 25455642 |
Otar Chokoshvili1, Khatuna Lomashvili2, Naile Malakmadze3, Marika Geleishvil2, Jonas Brant4, Paata Imnadze5, Nazibrola Chitadze5, Lia Tevzadze5, Gvantsa Chanturia5, Tea Tevdoradze5, Tengiz Tsertsvadze6, Deborah Talkington4, Rajal K Mody4, Nancy Strockbine4, Russell A Gerber4, Edmond Maes3, Thomas Rush3.
Abstract
In July-August 2009, eight patients with bloody diarrhea complicated by hemolytic uremic syndrome (HUS) were admitted to hospitals in Tbilisi, Georgia. We started active surveillance in two regions for bloody diarrhea and post-diarrheal HUS. Of 25 case-patients who developed HUS, including the initial 8 cases, half were ⩾15 years old, 67% were female and seven (28%) died. No common exposures were identified. Among 20 HUS case-patients tested, Shiga toxin was detected in the stools of 2 patients (one with elevated serum IgG titers to several Escherichia coli serogroups, including O111 and O104). Among 56 persons with only bloody diarrhea, we isolated Shiga toxin-producing E. coli (STEC) O104:H4 from 2 and Shigella from 10; 2 had serologic evidence of E. coli O26 infection. These cases may indicate a previously unrecognized burden of HUS in Georgia. We recommend national reporting of HUS and improving STEC detection capacity.Entities:
Keywords: Bloody diarrhea; E. coli; HUS; Hemolytic uremic syndrome; O104:H4; STEC
Mesh:
Substances:
Year: 2014 PMID: 25455642 PMCID: PMC7320338 DOI: 10.1016/j.jegh.2014.03.004
Source DB: PubMed Journal: J Epidemiol Glob Health ISSN: 2210-6006
Demographic characteristics of patients with bloody diarrhea and HUS (N = 87).
| Characteristics | Case-patients without HUS ( | Case-patients with HUS ( | ||
|---|---|---|---|---|
| (%) | (%) | |||
| <5 | 7 | 11 | 4 | 16 |
| 5–14 | 1 | 2 | 8 | 32 |
| 15+ | 28 | 45 | 13 | 52 |
| Unknown | 26 | 42 | ||
| Male | 27 | 44 | 8 | 32 |
| Female | 31 | 50 | 17 | 68 |
| Unknown | 4 | 6 | ||
| Rural Dvani | 1 | 8 | 3 | 13 |
| Rural Mejvriskevi | 0 | 0 | 1 | 4 |
| Other rural villages | 4 | 31 | 12 | 52 |
| Urban | 8 | 62 | 7 | 30 |
Fig. 2.Geographic distribution of HUS rates in the republic of Georgia, 2009.
Fig. 1.Distribution of HUS and bloody diarrhea cases by date of admission to the hospital, during outbreak of HUS in the republic of Georgia, 2009.
Distribution of potential risk factors among interviewed (N = 32) patients with bloody diarrhea (N = 13) and those with HUS (N = 19).
| Food products used or other exposition | Exposed | Unexposed | Attack rate ratio RR | ||||||
|---|---|---|---|---|---|---|---|---|---|
| HUS | Bloody diarrhea | Attack rate % | HUS | Bloody diarrhea | N | Attack rate % | |||
| Cheese | 5 | 8 | 13 | 38 | 14 | 5 | 19 | 74 | 0.5 |
| Fresh tomato | 6 | 6 | 12 | 50 | 13 | 7 | 20 | 65 | 0.8 |
| Sausage | 6 | 5 | 11 | 55 | 13 | 8 | 21 | 62 | 0.9 |
| Apple | 3 | 7 | 10 | 30 | 16 | 6 | 22 | 73 | 0.4 |
| Ice cream | 6 | 2 | 8 | 75 | 13 | 11 | 24 | 54 | 1.4 |
| Grapes | 3 | 3 | 6 | 50 | 16 | 10 | 26 | 62 | 0.8 |
| Dairy (excluding cheese and ice cream) | 1 | 5 | 6 | 17 | 18 | 8 | 26 | 69 | 0.2 |
| Beef | 1 | 4 | 5 | 20 | 18 | 9 | 27 | 67 | 0.3 |
| Chicken | 0 | 4 | 4 | 0 | 19 | 9 | 28 | 68 | 0.0 |
| Fresh greens | 1 | 3 | 4 | 25 | 18 | 10 | 28 | 64 | 0.4 |
| Contact with domestic or farm animals during 10 days before onset | 14 | 5 | 19 | 74 | 5 | 8 | 13 | 38 | 1.9 |
| Ate food outside home during10 days before onset | 13 | 6 | 19 | 68 | 6 | 7 | 13 | 46 | 1.5 |
| Contact with ill patient who had diarrhea | 0 | 5 | 5 | 0 | 19 | 8 | 27 | 70 | 0.0 |
Attack rate is more than 1.
Summary of laboratory results for 37 patients with bloody diarrhea (BD) or HUS.
| ID | Status | Testing of fresh stool or stool enrichment broths | Pathogenic stool isolates | Serum ELISA titers | |
|---|---|---|---|---|---|
| Shiga toxin | Virulence genes | ||||
| 1 | HUS | + | O104-IgG 1280 | ||
| 2 | HUS | – | |||
| 3 | HUS | − | − | – | – |
| 4 | HUS | − | − | – | |
| 5 | HUS | + | – | ||
| 6 | HUS | − | – | – | |
| 7 | HUS | – | – | ||
| 8 | BD | ||||
| 9 | BD | − | − | ||
| 10 | BD | ||||
| 11 | BD | − | − | ||
| 12 | BD | − | − | ||
| 13 | BD | − | − | ||
| 14 | BD | − | − | ||
| 15 | BD | − | – | – | |
| 16 | BD | − | − | – | |
| 17 | BD | − | − | – | |
| 18 | BD | − | − | – | |
| 19 | BD | − | − | – | – |
| 20 | BD | − | − | – | – |
| 21 | BD | − | – | – | |
| 22 | BD | ||||
| 23 | BD | ||||
| 24 | BD | − | – | ||
| 25 | BD | − | – | ||
| 26 | BD | − | – | ||
| 27 | BD | – | O26-IgG 1280 | ||
| 28 | BD | − | – | ||
| 29 | BD | − | |||
| 30 | BD | − | |||
| 31 | BD | − | |||
| 32 | BD | − | O26-IgM, IgG 640 | ||
| 33 | BD | ||||
| 34 | BD | ||||
| 35 | BD | ||||
| 36 | BD | ||||
| 37 | BD | ||||
Isolate was not serogrouped.
stx2a-positive, eae-negative, ehxA-negative, aatA-positive (CDC Atlanta).
eae, stx2 positive (NCDC).
Fig. 3.Conventional multiplex PCR of E. coli isolates and stool enrichment broth from patients with bloody diarrhea. This is located under Fig. 3 as legend. 100 bp Molecular marker ladders are located on the outer and central lanes (1, 10, 19, 20, 29, and 37) of each gel. Lane 35 contains a negative control; lane 36 contains E. coli O157 positive control and indicates location of the ehxA (534 bp), eae (384 bp), stx2 (255 bp), and stx1 (180 bp) genes. Lanes 7 (eae positive) and 8 (stx2 positive) are from stool isolates; lane 21 (eae positive) is from a stool enrichment broth.
Origin, serotype, virulence gene and antibiotic resistance profiles of E. coli O104 strains.
| Strain | Serotype | Country | Year of isolation | AMP | STR | SIX | TMP-SXT | TET | CTX | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009EL-2050 | O104:H4 | Georgia | 2009 | − | + ( | − | − | + | + | R (>32) | R (>64) | R (>256) | R (>4) | R (32) | S (⩽0.25) |
| 2009EL-2071 | O104:H4 | Georgia | 2009 | − | + ( | − | − | + | + | R (>32) | R (>64) | R (>256) | R (>4) | S (⩽4) | S (⩽0.25) |
| 2011C-3493 | O104:H4 | USA-travel to Germany | 2011 | − | + ( | − | − | + | + | R (>32) | R (>64) | R (>256) | R (>4) | R (32) | R (>64) |
| 2011EL-1675A | O104:H4 | USA-travel to Germany | 2011 | − | + ( | − | − | + | + | R (>32) | R (>64) | R (>256) | R (>4) | R (32) | R (>64) |
| 55989 | O104:H4 | Central African Republic | 1996–1999 | − | − | − | − | + | + | NT | NT | NT | NT | NT | NT |
| 94–3024 | O104:H21 | USA-Montana | 1994 | − | + ( | − | + | − | − | S (2) | S (<32) | S (⩽16) | S (⩽0.12) | S (⩽4) | S (⩽0.25) |
Interpretive criteria to categorize minimum inhibitory concentration results as susceptible (S), intermediate (I) or resistant (R) are based on current guidelines provided by the Clinical and Laboratory Standards Institute. Values in parentheses are minimum inhibitory concentration of antibiotic in micrograms per milliliter. Antibiotic abbreviations: AMP = ampicillin; STR = streptomycin; SIX = sulfisoxazole; TET = tetracycline; TMP-SMX = trimethoprim–sulfamethoxazole; CTX = ceftriaxone. The full panel of antibiotics tested by the National Antimicrobial Resistance Monitoring System (NARMS) is reported in reference 24.
NT = not tested.
Fig. 4.Macrorestriction analysis (BlnI and XbaI) by pulsed-field gel electrophoresis of Escherichia coli O104 isolates described in Table 4. This is located under Fig. 4 as legend. Dendrogram is based on combined PFGE patterns and was generated by BioNumerics 5.2 (Applied Maths, Inc., Austin, Texas, USA). Similarity analysis was performed using the Dice coefficient and clustering was performed using the unweighted pair-group method with arithmetic averages (UPGMA).