| ATCC 49162| CCUG 27126| CDC Enteric Group 75| CIP 103441| Enterobacter hormaechei| Enterobacter hormaechei O'Hara et al. 1990 emend. Hoffmann et al. 2005| Enterobacter sp. 35014| Enterobacter sp. 35025| Enterobacter sp. 35030| Enterobacter sp. 35032| Enterobacter sp. 35683| Enterobacter sp. 36796| Enterobacter sp. GN02358| Enterobacter sp. GN02768| strain 0992-77
Hospital-Acquired Infections: Enterobacter hormaechei has been implicated in nosocomial or hospital-acquired infections. These infections are often associated with healthcare settings and can affect individuals with compromised immune systems or those undergoing medical treatments.
Antimicrobial Resistance: Enterobacter hormaechei strains have been reported to exhibit resistance to multiple antibiotics. This resistance can complicate the treatment of infections caused by these bacteria and is a significant concern in healthcare settings.
Infections in Vulnerable Individuals: The bacteria of the Enterobacter genus, including Enterobacter hormaechei, may cause various infections, including urinary tract infections, bloodstream infections, and respiratory infections, particularly in individuals with weakened immune systems.
Community and Environmental Presence: While hospital environments are commonly associated with Enterobacter hormaechei infections, these bacteria may also be found in the community and the environment. However, their prevalence in these settings is generally lower compared to healthcare settings.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
Statistics | NCBI | Data Punk | End Products Produced |
Different labs use different software to read the sample. See this post for more details.
One lab may say you have none, another may say you have a lot! - This may be solely due to the software they are using to estimate.
We deem lab specific values using values from the KM method for each specific lab to be the most reliable.
Lab | Frequency | UD-Low | UD-High | KM Low | KM High | Lab Low | Lab High | Mean | Median | Standard Deviation | Box Plot Low | Box Plot High | KM Percentile Low | KM Percentile High |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Other Labs | 0.35 | 6 | 23646 | 0 | 19379 | 3095.6 | 84 | 8307.8 | 6 | 23646 | 10 %ile | 80 %ile | ||
biomesight | 24.22 | 0 | 20 | 10 | 10220 | 0 | 9333 | 1017.1 | 60 | 4243 | 0 | 540 | 0 %ile | 98.1 %ile |
thorne | 65.52 | 1 | 345 | 0 | 231 | 43.4 | 4 | 95.8 | 1 | 345 | 0 %ile | 100 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 0 | 4.47 | 0 | 0.0004 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 26.222 % | 0.116 % | 0.473 % | 751.0 | 2864 |
CerbaLab | 66.667 % | 0.004 % | 0.004 % | 2.0 | 3 |
es-xenogene | 13.793 % | 0.006 % | 0.005 % | 4.0 | 29 |
Medivere | 28.571 % | 1.222 % | 1.615 % | 2.0 | 7 |
Thorne | 46.591 % | 0.003 % | 0.007 % | 41.0 | 88 |
Thryve | 0.072 % | 0.002 % | % | 1.0 | 1383 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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And display level must be raised above public.
Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.
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