Using this criterion, we also adjusted the final models (model C) for pregnancy, antiviral drug use, presence of a chronic or immunocompromising medical condition, and number of hospital admissions and family physician visits in the previous 12 months.
The physiopathology of malaria in pregnancy is difficult to scrutinize and attempts were made in the past to use animal models for pregnancy malaria studies.
Additional variables which were significant at p<0.20 in the univariate analyses were candidates for inclusion in final multivariable logistic regression models for pregnancy intention.
The final logistic regression models for pregnancy outcome included statistically significant variables and clinically plausible interactions only.
Using methods previously described 48 and all births in 2001 2002, two multivariable logistic regression predictive models for pregnancy hypertension were developed.
Compared to the first unadjusted model, adjustment for pregnancy characteristics revealed overall lower OR's while adjustment for medical interventions led to an ambiguous effect on the OR's.
Average air pollution exposures derived from the CALINE4 model for each pregnancy period and during the entire pregnancy were similar and moderately to strongly correlated (Table 2).
To determine if a combination of first and second trimester serum biomarkers (pregnancy-associated plasma protein A (PAPP-A), free βhCG, and maternal serum alpha-fetoprotein (msAFP)) may be utilized to develop a predictive model for adverse pregnancy outcomes.
Pregnant sheep are also a useful model for human pregnancy, and have been used to investigate the effects on fetal development of malnutrition and hypoxia.
This endocrine-disrupting effect of prochloraz could affect pregnancy outcome because estrogen deprivation is associated with a spontaneous abortion rate of 50% in the baboon, a species commonly used as a model for primate/human pregnancy (Albrecht and Pepe 1999).
