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. Author manuscript; available in PMC: 2016 Nov 1.
Published in final edited form as: Acad Emerg Med. 2015 Oct 16;22(11):1298–1306. doi: 10.1111/acem.12814

Table 5.

Univariate (unadjusted) and multivariable (adjusted) logistic regression to determine association between algorithmic alert components and severe sepsis/septic shock outcome.

Variable Unadjusted OR (95% CI) p Adjusted OR (95% CI) p
Age 3.2 (2.5–4.2) <0.001 1.0 (0.8–1.5) 0.7
Female sex 0.7 (0.5–1.1) 0.17 0.6 (0.4–0.9) 0.03
Number of comorbidities 2.3 (1.9–2.8) <0.001 1.3 (0.9–1.8) 0.14
Hypotension 100.4 (63.3–159.2) <0.001 13.6 (7.3–25.5) <0.001
Abnormal heart rate or respiratory rate 10.8 (7.6–15.3) <0.001 4.8 (3.3–6.9) <0.001
Physical findings 8.3 (5.6–12.1) <0.001 5.8 (3.7–9.1) <0.001
High risk condition 2.9 (2.4–3.6) <0.001 1.3 (0.9–1.8) 0.22

Physical findings include perfusion or mental status abnormality as recorded in the electronic medical record. High-risk conditions include subjects with a history of malignancy, asplenia, bone marrow transplant, central venous catheter, solid organ transplant, other immnodeficiency, immunocompromised, or immunosuppression. Comorbidity was defined as the presence of at least one complex chronic care condition (Feudtner 2001).15