Page 102 - Pro-active Management of Women’s Health after Cardiometabolic Complicated Pregnancies

100 | Part 3 Lifestyle intervention
coefficients that were used in the prediction models. The following models were used: MONICA37, PROCAM34, SCORE35, Eurostroke38, CUORE36, Framingham 30- years prediction model39 and Reynolds Risk Score40.
In step 1d we calculated the odds-ratios of cardiovascular risk between women with a history of preeclampsia and women with a history of a healthy pregnancy, based on the differences in cardiovascular risk factors as provided in step 1b. Here for we used the cardiovascular risk prediction models as supplied by step 1c. The interquartile range in step 1b was used to calculate a confidence interval of the odds-ratios.
In step 1e the meta-analysis of Bellamy et al2 was used to provide the observed risk of cardiovascular disease after preeclampsia. This study reported separately on ischaemic heart disease and stroke.
In step 1f we calculated the additive effect of preeclampsia on of cardiovascular risk, corrected for the cardiovascular risk factors as mentioned in step 1a. To obtain this effect the observed odds-ratios (step 1e) were divided by the calculated odds-ratios (step 1d), both for ischaemic heart disease and stroke.
Estimated effect of lifestyle interventions on cardiovascular risk after preeclampsia (steps 2a-2d)
In step 2a we searched PubMed for studies that reported on the effect of lifestyle interventions on cardiovascular risk factors. The recent review by our research group provided us with studies reporting on weight reduction and smoking cessation after pregnancy204. For improving the lipid profile and lowering blood pressure, we used the identical Pubmed search strategy as in the review: “(puerperium OR postpartum period OR postpartum OR post-partum) AND (lifestyle OR life style OR risk reduction behaviour OR risk reduction behaviour OR health promotion OR <specific search term>)”. As specific search