Clinical Study
The Use of an Early Alert System to Improve Compliance with Sepsis Bundles and to Assess Impact on Mortality
Table 1
Patient characteristics between Code SMART and Non-Code SMART Groups.
| | Code Smart | Non-Code Smart | P | | | |
| Mean (SD) Age (years) | 70 (2.26) | 61 (3.41) | .03 | Ethnicity | | | | Caucasian | 1 (3%) | 3 (13%) | .16 | African American | 28 (82%) | 17 (71%) | .31 | Hispanic | 3 (9%) | 2 (8%) | .95 | Other | 2 (6%) | 2 (8%) | .73 | Gender (females) | 15 (44%) | 16 (67%) | .42 | Mean (SD) MEDS | 11.44 (.94) | 9.96 (1.13) | .32 | Sepsis | | | | Urinary tract infection | 10 (29%) | 7 (29%) | .80 | Pneumonia | 18 (53%) | 8 (33%) | .25 | Cultures-positive | | | | Blood | 13 (38%) | 8 (33%) | .96 | Urine | 16 (47%) | 7 (29%) | .26 | Shock present | 25 (74%) | 15 (63%) | .38 | Number of organs involved | | | | 0 | 2 (6%) | 2 (8%) | .72 | 1 | 8 (24%) | 5 (21%) | .81 | 2 | 8 (24%) | 14 (50%) | .01 | 3 | 10 (29%) | 2 (8%) | .05 | 4+ | 6 (18%) | 1 (4%) | .13 | Leucopenia | 3 (9%) | 2 (8%) | .95 |
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