Association between maternal characteristics, abnormal serum aneuploidy analytes, and placental abruption




Objective


The objective of the study was to examine the association between placental abruption, maternal characteristics, and routine first- and second-trimester aneuploidy screening analytes.


Study Design


The study consisted of an analysis of 1017 women with and 136,898 women without placental abruption who had first- and second-trimester prenatal screening results, linked birth certificate, and hospital discharge records for a live-born singleton. Maternal characteristics and first- and second-trimester aneuploidy screening analytes were analyzed using logistic binomial regression.


Results


Placental abruption was more frequent among women of Asian race, age older than 34 years, women with chronic and pregnancy-associated hypertension, preeclampsia, preexisting diabetes, previous preterm birth, and interpregnancy interval less than 6 months. First-trimester pregnancy-associated plasma protein–A of the fifth percentile or less, second-trimester alpha fetoprotein of the 95th percentile or greater, unconjugated estriol of the fifth percentile or less, and dimeric inhibin-A of the 95th percentile or greater were associated with placental abruption as well. When logistic models were stratified by the presence or absence of hypertensive disease, only maternal age older than 34 years (odds ratio [OR], 1.4; 95% confidence interval [CI], 1.0–2.0), pregnancy-associated plasma protein–A of the 95th percentile or less (OR, 1.9; 95% CI, 1.2–3.1), and alpha fetoprotein of the 95th percentile or greater (OR, 2.3; 95% CI, 1.4–3.8) remained statistically significantly associated for abruption.


Conclusion


In this large, population-based cohort study, abnormal maternal aneuploidy serum analyte levels were associated with placental abruption, regardless of the presence of hypertensive disease.





See related editorial, page 89



Placental abruption, or bleeding into the decidua basalis, complicates approximately 0.5% of all pregnancies. Placental abruption is largely a clinical diagnosis, suspected when gravidas present with vaginal bleeding or severe abdominal pain, often accompanied by uterine contractions or nonreassuring fetal heart rate patterns. Serious adverse neonatal outcomes have been linked with placental abruption, most notably preterm birth, small-for-gestational-age weight, and even neonatal hypoxic ischemic encephalopathy and death in severe cases. Adverse maternal outcomes have also been associated with placental abruption including increased rates of operative delivery, a need for blood transfusion, and hysterectomy.


Risk factors for placental abruption include chronic maternal medical conditions such as thyroid and hypertensive disease, fetal and placental etiologies such as multiple gestation and umbilical cord abnormalities, and obstetric factors such as preterm premature rupture of membranes (PPROM). Maternal risk factors for placental abruption may even predispose patients to the development of cardiovascular disease later in life.


Noninvasive aneuploidy screening using maternal serum analyte and first-trimester nuchal translucency measurement has become a standard part of prenatal care for many pregnancies. All serum aneuploidy analytes (pregnancy-associated plasma protein A [PAPP–A]), total human chorionic gonadotropin (hCG), alpha fetoprotein (AFP), unconjugated estriol (uE3), and dimeric inhibin-A (INH) are directly or indirectly associated with placental function and pregnancy maintenance. Although abnormal analyte levels have been associated with placentation disorders, including preeclampsia and intrauterine growth restriction (IUGR), their association with placental abruption remains inconclusive.


Our objective was to examine the association between placental abruption, maternal characteristics, and routine first- and second-trimester aneuploidy screening analytes among a large population-based cohort of women undergoing prenatal screening for fetal aneuploidy.


Materials and Methods


The study sample was drawn from a cohort of 236,714 singleton pregnancies undergoing first- and second-trimester prenatal serum screening through the California Prenatal Screening Program administered by the Genetic Disease Screening Program (GDSP), with expected dates of delivery in 2009 and 2010. The sample was restricted to pregnancies that had a linked live birth and hospital discharge record in the birth cohort database maintained by the Office of Statewide Health Planning and Development (total with linked records = 140,577).


Pregnancies with fetal chromosomal abnormalities, neural tube defects, or abdominal wall defects were excluded (n = 361). To focus on placental abruption, pregnancies with other potential etiologies for vaginal bleeding were also excluded, including placenta previa and retained placenta without abruption (n = 2301). Of the 137,915 remaining pregnancies, 1017 experienced placental abruption and 136,898 did not ( Figure 1 ).




Figure 1


Overview of sample selection

a Placental previa and retained placenta without abruption.

Blumenfeld. Association between serum analytes and abruption. Am J Obstet Gynecol 2014 .


Analyte results were derived from blood samples collected between a gestation of 10 weeks 0 days and 13 weeks 6 days in the first trimester, and a gestation of 15 weeks 0 days and 20 weeks 0 days in the second trimester. First-trimester analyte measurements included PAPP-A and hCG. Second-trimester analytes included AFP, hCG, uE3, and INH. Analyte levels were measured on automated equipment (Auto DELFIA; Perkin Elmer Life Sciences, Waltham, MA, and Applied Biosystems, Brea, CA), and results were entered directly into a state database along with patient information used to adjust multiple of the median (MoM) values associated with biomarker results and/or used in final result interpretation. All analyte MoMs were adjusted for gestational age, maternal weight (as a proxy for blood volume), race/ethnicity, smoking status, and preexisting diabetes. Data related to chromosomal, neural tube, and abdominal wall defects were obtained from the GDSP screening records and associated defect registries. Details regarding the program and associated registries have been described elsewhere.


Maternal body mass index (BMI) was calculated using height (height ) and prepregnancy weight provided in the linked vital statistics birth and hospital discharge records. The interpregnancy interval was calculated from previous live birth (month and year) as reported in linked records and estimated as months to conception of the index pregnancy. Given that the day of the previous live birth was not available, the first of the month was used for calculation purposes. Parity, previous cesarean section, and previous preterm birth were also obtained from linked birth and hospital discharge records as was diabetes status, the presence of hypertensive disorders including preexisting hypertension, gestational hypertension, hypertension unspecified, any preeclampsia, mild/unspecified preeclampsia, severe preeclampsia, eclampsia, and preeclampsia/eclampsia superimposed on preexisting hypertension.


Analyses utilized logistic regression to calculate odds ratios (ORs) and their 95% confidence intervals (CIs). To examine associations, maternal characteristics were grouped as follows: nonwhite race/ethnicity (by subgroup) vs white race/ethnicity, maternal age younger than 18 years or older than 34 years vs maternal age 18-34 years, maternal BMI underweight (<18.5 kg/m 2 ), overweight (25.0–29.9 kg/m 2 ), or obese (≥30 kg/m 2 ) compared with normal BMI (18.5-24.9 kg/m 2 ), mothers with a hypertensive disorder (by subgroup) vs mothers without a hypertensive disorder, diabetic mothers (by subgroup) vs nondiabetic mothers, smoking during pregnancy (by trimester) vs nonsmoking, nulliparous vs multiparous pregnancies, those with a previous cesarean section (by subgroup) vs those who had not, mothers who had a previous preterm birth vs those who had not, and mothers with an interpregnancy interval less than 6 months, 6-23 months, and 60 months or longer vs those with an interpregnancy interval of 24-59 months.


The relationship between biomarkers and placental abruption was measured by comparing biomarker MoM the fifth percentile or less or the 95th percentile or greater vs biomarker MoM between the sixth and 94th percentile.


Logistic models were built using backward-stepwise logistic regression wherein initial inclusion was determined by a threshold of P < .10 on initial crude analyses. Models were also stratified by the presence or absence of any hypertensive disorder.


All analyses were performed using Statistical Analysis Software (SAS) version 9.3 (SAS Institute, Cary, NC) and were based on data received by the GDSP program as of March 31, 2013. Methods and protocols for the study were approved by the Committee for the Protection of Human Subjects within the Health and Human Services Agency of the State of California.




Results


When analyzing the demographics of the cohort, Asian race (OR, 1.4; 95% CI, 1.1–1.7) and maternal age older than 34 years (OR, 1.4; 95% CI, 1.2–1.6) were more common among women with placental abruption. Women with placental abruption were also more likely to have 1 or more hypertensive disorders. Specifically, they were more than twice as likely to have pregestational hypertension (OR, 2.5; 95% CI, 1.6–3.8) and more than 3 times as likely to have preeclampsia or eclampsia (OR, 3.8; 95% CI, 3.1–4.6). Pregestational diabetes (OR, 2.0; 95% CI, 1.2–3.3), previous preterm birth (OR, 2.6; 95% CI, 1.4–4.7), and an interpregnancy interval less than 6 months (OR, 1.8; 95% CI, 1.2–2.7) were also more frequent among women with placental abruption ( Table 1 ).



Table 1

Maternal characteristics in pregnancies with and without placental abruption










































































































































































































































Variable No abruption
(n = 136,898), %
Placental abruption
(n = 1017), %
OR
(95% CI)
Race/ethnicity
White, non-Hispanic 39,857 (29.1) 268 (26.4) Reference
Hispanic 66,984 (48.9) 484 (47.6) 1.1 (0.9–1.2)
Black 4125 (3.0) 31 (3.1) 1.1 (0.8–1.6)
Asian 14,792 (10.8) 136 (13.4) 1.4 (1.1–1.7) a
Other b 7799 (5.7) 64 (6.3) 1.2 (0.9–1.6)
Maternal age, y
≤18 1089 (0.8) 5 (0.5) 0.7 (0.3–1.6)
18-34 101,074 (73.8) 682 (67.1) Reference
≥35 34,713 (25.4) 330 (32.5) 1.4 (1.2–1.6) a
Maternal weight
Underweight (BMI <18.5 kg/m 2 ) 5062 (3.7) 45 (4.4) 1.1 (0.8–1.5)
Normal weight (BMI 18.5-24.9 kg/m 2 ) 69,361 (50.7) 547 (53.8) Reference
Overweight 32,633 (23.8) 207 (20.4) 0.8 (0.7–0.9) a
Obese 22,970 (16.8) 154 (15.1) 0.9 (0.7–1.0) c
Hypertensive disorders
No hypertension 128,136 (93.6) 861 (84.7) Reference
All hypertension 8762 (6.4) 156 (15.3) 2.7 (2.2–3.1) a
Preexisting hypertension with no preeclampsia 1379 (1.0) 23 (2.3) 2.5 (1.6–3.8) a
Gestational hypertension 2860 (2.1) 26 (2.6) 1.2 (0.8–1.8)
Preeclampsia/eclampsia 4075 (3.0) 103 (10.1) 3.8 (3.1–4.6) a
Mild preeclampsia 2329 (1.7) 40 (3.9) 2.6 (1.9–3.5) a
Severe preeclampsia 1220 (0.9) 54 (5.3) 6.6 (5.0–8.7) a
Eclampsia 73 (0.1) 1 (0.1) 2.0 (0.3–14.7)
Diabetes
No diabetes 124,616 (91.0) 915 (90.0) Reference
All diabetes 12,282 (9.0) 102 (10.0) 1.1 (0.9–1.4)
Preexisting diabetes 1072 (0.8) 16 (1.6) 2.0 (1.2–3.3) a
Gestational diabetes 11,270 (8.2) 88 (8.7) 1.1 (0.9–1.3)
Smoking 1073 (0.8) 8 (0.8) 1.0 (0.5–2.0)
Parity
Nulliparous 57,673 (42.1) 426 (41.9) Reference
Multiparous 79,152 (57.8) 591 (58.1) 1.0 (0.9–1.1)
Prior cesarean
No prior cesarean 116,291 (85.0) 872 (85.7) Reference
1 prior cesarean 15,304 (11.2) 111 (10.9) 1.0 (0.8–1.2)
≥2 prior cesareans 5218 (3.8) 33 (3.2) 0.8 (0.6–1.2)
Previous PTB
No previous of PTB 136,316 (99.6) 1006 (98.9) Reference
Previous PTB 582 (0.4) 11 (1.1) 2.6 (1.4–4.7) b
Interpregnancy interval, mo
<6 1773 (1.3) 22 (2.2) 1.8 (1.2–2.7) b
6-23 25,561 (18.7) 188 (18.5) 1.0 (0.9–1.2)
24-59 88,674 (64.8) 616 (60.6) Reference
>60 19,879 (14.5) 166 (16.3) 1.2 (1.0–1.4)

BMI , body mass index; CI , confidence interval; OR , odds ratio; PTB , preterm birth.

Blumenfeld. Association between serum analytes and abruption. Am J Obstet Gynecol 2014 .

a P < .05


b Includes Asian East Indian, Pacific Islander, Native American, Middle Eastern, and other race/ethnicity


c P < .10.



Analyses of serum analytes indicated that first-trimester PAPP-A of the fifth percentile or less (OR, 1.6; 95% CI, 1.3–2.0), second-trimester AFP of the 95th percentile or greater (OR, 1.9; 95% CI, 1.4–2.4), uE3 of the fifth percentile or less (OR, 1.5; 95% CI, 1.2–1.9), and INH of the 95th percentile or greater (OR, 1.8; 95% CI, 1.4–2.3) were associated with an increased risk of placental abruption ( Table 2 ).



Table 2

Screening marker measurements in pregnancies with and without placental abruption



















































































































Variable No abruption
(n = 136,898), %
Placental abruption
(n = 1017), %
OR
(95% CI)
First-trimester biomarkers
PAPP-A (MoM percentile) a
≤5th 6725 (4.9) 78 (7.7) 1.6 (1.3–2.0) b
6-94th 124,034 (90.6) 908 (89.3) Reference
≥95th 6139 (4.5) 31 (3.1) 0.7 (0.5–1.0) c
hCG (MoM percentile) a
≤5th 6663 (4.9) 48 (4.7) 1.0 (0.7–1.3)
6-94th 124,327 (90.8) 920 (90.5) Reference
≥95th 5905 (4.3) 49 (4.8) 1.1 (0.8–1.5)
Second-trimester biomarkers
AFP (MoM percentile) a
≤5th 7629 (5.6) 68 (6.7) 1.3 (1.0–1.6) c
6-94th 124,685 (91.1) 888 (87.3) Reference
≥95th 4584 (3.4) 61 (6.0) 1.9 (1.4–2.4) b
hCG (MoM percentile) a
≤5th 7073 (5.2) 58 (5.7) 1.1 (0.9–1.5)
6-94th 124,391 (90.9) 913 (89.8) Reference
≥95th 5434 (4.0) 46 (4.5) 1.2 (0.9–1.6)
uE3 (MoM percentile) a
≤5th 6816 (5.0) 74 (7.3) 1.5 (1.2–1.9) b
6-94th 124,816 (91.2) 909 (89.4) Reference
≥95th 5117 (3.7) 31 (3.1) 0.8 (0.6–1.2)
INH (MoM percentile) a
≤5th 7470 (5.5) 60 (5.9) 1.1 (0.9–1.5)
6-94th 124,545 (91.0) 894 (87.8) Reference
≥95th 4883 (3.6) 63 (6.2) 1.8 (1.4–2.3) b

AFP , alpha fetoprotein; BMI , body mass index; CI , confidence interval; INH , dimeric inhibin-A; MoM , multiple of the median; OR , odds ratio; PAPP-A , pregnancy-associated plasma protein A; uE3 , unconjugated estriol.

Blumenfeld. Association between serum analytes and abruption. Am J Obstet Gynecol 2014 .

a Biomarker cut points for MoM percentiles (≤5th and >95th) were as follows: PAPP-A, 0.38 and 2.63; hCG (first trimester), 0.50 and 2.00; AFP, 0.60 and 1.79; hCG (second trimester), 0.41 and 2.28; uE3, 0.63 and 1.48; and INH, 0.54 and 2.14


b P < .05


c P < .10.



Multivariable models revealed that pregnancies with hypertensive disorders had the greatest odds of placental abruption (ORs, 2.5-5.9 and 95% CI, 1.2–7.9) ( Table 3 ). Given the association between hypertensive disorders and placental abruption, final stepwise models were built for pregnancies with and without any hypertensive disorder. Although most risks persisted in adjusted models in pregnancies without hypertensive disorders, only maternal age older than 34 years (OR, 1.4; 95% CI, 1.0–2.0), PAPP-A of the fifth percentile or less (OR, 1.9; 95% CI, 1.2–3.1), and AFP of the 95th percentile or greater (OR, 2.3; 95% CI, 1.4–3.8) remained statistically significant in models analyzing pregnancies with concomitant hypertensive disorders. A BMI of 30 kg/m 2 or greater was associated with a reduced risk for placental abruption in both groups (OR, 0.8; 95% CI, 0.7–1.0, and OR, 0.6; 95% CI, 0.4–0.9) ( Figures 2 and 3 ).


May 10, 2017 | Posted by in GYNECOLOGY | Comments Off on Association between maternal characteristics, abnormal serum aneuploidy analytes, and placental abruption

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