| Literature DB >> 29349936 |
Yejin Park1,2, Geum Joon Cho3, Log Young Kim4, Tae Seon Lee4, Min Jeong Oh3, Young Han Kim1,5.
Abstract
BACKGROUND: Multiple studies have been reported regarding preeclampsia as a possible risk factor of cerebrovascular disease (CVD). However, the correlation of preeclampsia and CVD, whether it is a cause-effect relationship or they are sharing common predisposing condition, is not well understood. Therefore, the aim of this study was to investigate the association between the preeclampsia during pregnancy and development of postpartum CVD.Entities:
Keywords: Cerebrovascular Disease; Insurance Claim Reporting; Korea; Postpartum Period; Preeclampsia; Pregnancy
Mesh:
Year: 2018 PMID: 29349936 PMCID: PMC5777915 DOI: 10.3346/jkms.2018.33.e35
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 2.153
Fig. 1Cohort flowchart illustrating the inclusion and exclusion of participants. Women with CVD before pregnancy and with missing data were excluded and women with one or more predisposing factors for the CVD were excluded.
CVD = cerebrovascular disease.
Basic characteristics of study population
| Parameters | Postpartum | ||
|---|---|---|---|
| Normal (n = 1,072,041) | CVD (n = 3,020) | ||
| Age, yr | 30.76 ± 4.10 | 31.08 ± 4.50 | < 0.01 |
| Old age (≥ 35 yr) | 179,468 | 620 | < 0.01 |
| Primiparity | 563,798 | 1,406 | < 0.01 |
| Multiple pregnancy | 15,063 | 43 | 0.93 |
| Cesarean delivery | 376,427 (35) | 1,206 (40) | < 0.01 |
| Induction | 253,377 | 669 | 0.06 |
| Vacuum delivery | 66,669 | 184 | 0.77 |
| Preeclampsia | 25,577 (2.39) | 121 (4.01) | < 0.01 |
| Gestational diabetes mellitus | 20,876 | 66 | 0.34 |
| Placenta previa | 8,993 | 23 | 0.64 |
| Placental abruption | 3,973 | 18 | 0.04 |
| Peripartum hysterectomy | 995 | 5 | 0.19 |
| Uterine arterial embolization | 890 | 4 | 0.35 |
| Postpartum hemorrhage | 77,920 | 208 | 0.42 |
| Thromboembolism | 1,040 | 17 | < 0.01 |
Values are presented as number (%) or mean ± standard deviation.
CVD = cerebrovascular disease.
Multivariate logistic regression analysis for postpartum CVD
| Variables | Adjusted OR | 95% CI |
|---|---|---|
| Old age (≥ 35 yr) | 1.17 | 1.07–1.28 |
| Primiparity | 0.79 | 0.73–0.85 |
| Multiple pregnancy | 0.91 | 0.67–1.24 |
| Cesarean delivery | 1.24 | 1.13–1.35 |
| Induction | 1.05 | 0.95–1.16 |
| Vacuum delivery | 1.17 | 0.99–1.37 |
| Preeclampsia | 1.64 | 1.37–1.98 |
| Gestational diabetes mellitus | 1.04 | 0.82–1.33 |
| Placenta previa | 0.76 | 0.50–1.16 |
| Placental abruption | 1.40 | 0.88–2.23 |
| Peripartum hysterectomy | 1.45 | 0.59–3.58 |
| Uterine arterial embolization | 1.41 | 0.52–3.85 |
| Postpartum hemorrhage | 0.93 | 0.80–1.07 |
| Thromboembolism | 5.34 | 3.30–8.65 |
CVD = cerebrovascular disease, OR = odds ratio, CI = confidence interval.
Fig. 2Incidence of PCVD for each month of the postpartum period. The incidence of PCVD within 1 month after delivery was double the rate of that for later months. Similarly, women who had preeclampsia during pregnancy had the highest incidence of PCVD within 1 month after delivery, and the incidence within 1 month after delivery was approximately three times that of later months.
PCVD = postpartum cerebrovascular disease.