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. 2010 Oct 18;10:64. doi: 10.1186/1471-2393-10-64

Table 4.

Multiple logistic regression models of factors predictive of mortality and morbidity

Factor Dependent variable: mortality Dependent variable: morbidity

aOR p 95% CI aOR p 95% CI
Severity of shock
 MAP < 60 (or non-palpable BP) 8.42 <0.001 3.13 22.66 4.83 0.002 1.80 12.94
MAP 60 or higher 1 1

Parity
 5 or more live births 1.33 0.35 0.73 2.42 2.43 0.04 1.06 5.58
0-4 live births 1 1

Primary Diagnosis
 Uterine atony 1.44 0.19 0.83 2.49 2.68 0.07 0.93 7.76
Other condition 1 1

Where bleeding began*
 Transferred in bleeding -- -- -- -- 1.82 0.51 0.30 10.93
Began bleeding at RH -- -- -- -- 1

Study Phase
 NASG 0.45 0.004 0.27 0.77 0.20 0.002 0.07 0.56
Pre-intervention 1 1

NASG = Non-pneumatic Anti-Shock Garment. aOR = adjusted odds ratio. Reference groups for categorical variables shown in italics. Hospital facility included as control variable in both models, but not shown in Table 4. The number of observations in Table 4 is less than 1442 because of missing data; n = 1038 for the morbidity model, and n = 1442 for the mortality model. Robust standard errors used to adjust for clustering at the facility level.

* Where bleeding began was not a significant predictor of mortality, but it was associated with morbidity, in bivariate analysis. Therefore it is included in the multiple logistic regression model of factors predictive of morbidity only.