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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