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Table 2 Statistically significant clinical variables from univariate analysis (dependent variable; SMO binary outcome variable) in the model design dataset (n = 600)

From: Development and validation of an obstetric early warning system model for use in low resource settings

Parameters Cases N = 200 Controls N = 400 Chi-square significance
High systolic blood pressure (> 140), number (%) 75 (68·8) 34 (31·2) < 0·001
Low systolic blood pressure (< 90), number (%) 58 (61·7) 36 (38·3) < 0·001
High diastolic blood pressure (> 90), number (%) 75 (64·7) 41 (35·3) < 0·001
Low diastolic blood pressure (< 60), number (%) 110 (65·5) 58 (34·5) < 0·001
Severe tachypnoea (RR > 40), number (%) 26 (92·9) 2 (7·1) < 0·001
Severe bradypnea (RR < 6), number (%) 5 (100) 0 (0) < 0·001
Fever (Temp> 38), number (%) 17 (94·4) 1 (5·6) < 0·001
Marked tachycardia (PR > 120), number (%) 58 (71·6) 23 (28·4) < 0·001
Hypoxaemia (SP02 < 90%), number (%) 14 (82·4) 3 (17·6) < 0·001
Caesarean delivery in present admission, number (%) 51 (94.4) 3 (5·6) 0·001
Low urinary output (300 ml/24 h), number (%) 12 (100) 0 (0) < 0·001
Prolonged unconsciousness (GCS < 8/15), number (%) 14 (100) 0 (0) < 0·001
Blood transfusion in present admission, number (%) 40 (67·8) 19 (32·8) 0·038
Last haematocrit level, mean (SD) 27·6 (9·8) 33·3 (5·9) < 0·001
Days of admission, mean (SD) 6·8 (5·2) 1·6 (0·7) 0·040