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. 2017 Aug 3;17:215. doi: 10.1186/s12872-017-0632-0

Table 2.

Logistic analysis of BNP at admission, after discharge and (%) changes of BNP (according to the median value) for predicting mortality

BNP Model OR (95% CI) p-value
Initial BNP Crude model <816.5 1 0.6871
≥816.5 1.114 (0.658 ~ 1.887)
Model 1 <816.5 1 0.4891
≥816.5 1.215 (0.70 ~ 2.107)
Model 2 <816.5 1 0.5791
≥816.5 1.184 (0.652 ~ 2.152)
Model 3 <816.5 1 0.8117
≥816.5 0.920 (0.465 ~ 1.822)
Follow up BNP Crude model <370 1 <.0001
≥370 4.30 (2.426 ~ 7.621)
Model 1 <370 1 <.0001
≥370 4.373 (2.406 ~ 7.946)
Model 2 <370 1 <.0001
≥370 4.438 (2.331 ~ 8.450)
Model 3 <370 1 <.0001
≥370 4.703 (2.360 ~ 9.374)
(%) Changes of BNP Crude model <−0.52 1 <.0001
≥ − 0.52 5.118 (2.852 ~ 9.184)
Model 1 <−0.52 1 <.0001
≥ − 0.52 6.331 (3.353 ~ 11.954)
Model 2 <−0.52 1 <.0001
≥ − 0.52 6.838 (3.418 ~ 13.68)
Model 3 <−0.52 1 <.0001
≥ − 0.52 7.344 (3.518 ~ 15.331)

Model 1 = Age and sex

Model 2 = Model 1+ diabetes mellitus, hypertension, ischemic heart disease, chronic obstructive pulmonary disease, chronic kidney disease and stroke

Model 3 = Model 2 + sodium (Na), creatinine (Cr), hemoglobin (Hb) and EF