Abstract
BACKGROUND:
Anemia during pregnancy is associated with increased risks of preterm birth, preeclampsia, cesarean delivery, and maternal morbidity. The most prevalent modifiable cause of pregnancy-associated anemia is iron deficiency. However, it is still unclear whether iron therapy can reduce the risks of adverse outcomes in women with anemia.
OBJECTIVE:
This study aimed to determine whether response to iron therapy among women with anemia is associated with a change in odds of adverse maternal and neonatal outcomes.
STUDY DESIGN:
This was a population-based cohort study (2011–2019) using an institutional database composed of obstetrical patients from 2 delivery hospitals. Patients with adequate prenatal care were classified as being anemic or nonanemic (reference). Patients with anemia were further stratified by success or failure of treatment with oral iron therapy using the American College of Obstetricians and Gynecologists criteria for anemia at the time of admission for delivery: successfully treated (Hgb≥11 g/dL) or unsuccessfully treated (“refractory;” Hgb<11 g/dL). All categories of women with anemia categories were compared with the reference group of women without anemia using chi-square and logistic regression analyses. The primary outcomes were preterm birth and preeclampsia.
RESULTS:
Among the 20,690 women observed, 7416 (35.8%) were anemic. Among women with anemia, 1319 (17.8%) were refractory to iron therapy, 2695 (36.3%) had a successful response to therapy, and 3402 (45.9%) were untreated. Successfully treated patients with anemia had a significant reduction in the odds of preterm birth (5.1% vs 8.3%; adjusted odds ratio, 0.59; 95% confidence interval, 0.47–0.72) and preeclampsia (5.9% vs 8.3%; adjusted odds ratio, 0.75; 95% confidence interval, 0.61–0.91). Refractory and untreated patients had significantly increased odds of preterm birth (adjusted odds ratio, 1.44 [95% confidence interval, 1.16–1.76] and 1.45 [95% confidence interval, 1.26–1.67], respectively) and preeclampsia (adjusted odds ratio, 1.54 [95% confidence interval, 1.24–1.89] and 1.44 [95% confidence interval, 1.25–1.67], respectively). All groups of women with anemia had increased odds of postpartum hemorrhage and decreased odds of delivering a small for gestational age neonate. There was no difference in composite neonatal morbidity.
CONCLUSION:
Successful treatment of anemia with oral iron therapy was associated with a reduction in the odds of preterm birth and preeclampsia. Women with refractory anemia had similar outcomes to those who were untreated, emphasizing the importance of monitoring response to iron therapy during pregnancy.
Keywords: iron deficiency anemia, maternal morbidity, neonatal morbidity, preeclampsia prevention, preterm birth prevention
Introduction
Anemia during pregnancy is one of the most common diagnoses among gravidae, given that it is estimated to affect 40% of women worldwide.1 The prevalence of anemia among pregnant women in the United States has been estimated to be approximately 10% to 12%.2–4 The American College of Obstetricians and Gynecologists (ACOG) has defined pathologic anemia in pregnancy as a hemoglobin level of <11.0 g/dL in the first and third trimesters of pregnancy and a hemoglobin level of <10.5 g/dL in the second trimester of pregnancy.5 The ACOG recommends screening all pregnant women for anemia and treating women with suspected iron deficiency with iron supplementation. Of note, 1 study estimated that only 50% of pregnant women with anemia respond to iron therapy.1
Studies have shown that beyond physiological dilutional anemia of pregnancy, iron deficiency is the most common cause of anemia in pregnancy and is associated with an increased risk of adverse pregnancy outcomes, such as preterm delivery, preeclampsia (PE), cesarean delivery, and perinatal death.2,6–8 In addition, women with anemia have an increased risk of perinatal blood transfusions, intensive care unit (ICU) admissions, and postpartum depression.3 A 2011 Cochrane review evaluated different treatments of iron deficiency anemia in pregnancy for the prevention of perinatal morbidity and concluded that there is insufficient evidence to suggest an efficacious reduction in the incidence of perinatal complications.9 They concluded that further studies are needed to evaluate whether treatment of iron deficiency anemia can improve maternal and neonatal outcomes.
Given these knowledge gaps, we undertook a large population-based cohort study to evaluate whether treatment of anemia during pregnancy with oral iron therapy was associated with a change in the occurrence of associated perinatal outcomes, such as preterm birth (PTB) and PE. We further evaluated whether this effect was modified by treatment and response, as measured by correction of the maternal hemoglobin at delivery.
Materials and Methods
Data sources
We used an institutional review board (IRB)-approved, subject-consented perinatal database, which is collected and maintained by trained full-time research personnel at Baylor College of Medicine in Houston, Texas (PeriBank; H-26364). All gravid patients who delivered at our 2 institutional hospitals (Ben Taub Hospital and Texas Children’s Pavilion for Women) were approached and consented to participate in our perinatal database. In addition to detailed data abstraction from the electronic medical record into the database, additional information was obtained by direct maternal interview in their native language. In the current study, more than 100 variables relevant to the hypothesis and study aims were used.10–12
The PeriBank database and biorepository involved active consent for participation from all participants and did not rely on volunteers to self-identify or enter data.10 The rate of enrollment did not change considerably throughout the study period; consent rates ranged from 86% in 2012 to 90% in 2019. Regular quarterly audits were done to ensure data accuracy, and any adjudication of cases was performed by maternal-fetal medicine physicians. The database specifically captured medication prescriptions by maternal interview and review of prescriptions or medication dispensed within the electronic medical record.10–12 Women were specifically asked about prenatal vitamin and iron therapy as examples of medications used in pregnancy during interviews with study personnel during enrollment to labor and delivery.
Selection criteria for study patients
The use of the PeriBank database for this study was approved by the Baylor College of Medicine IRB (H-45877). All women with singleton pregnancies and sufficient prenatal care from August 2011 to November 2019 were included. For women with ≥2 pregnancies within this time frame, the first delivery in the PeriBank database was chosen for inclusion for the overall analysis. Sufficient prenatal care was defined by the Kotelchuck Adequacy of Prenatal Care Index.11,13,14 This model has been previously validated and took into account the number of prenatal visits and gestational age at initiation of prenatal care and delivery.11,15 Sufficient prenatal care was defined as beginning prenatal care before 20 weeks of gestation and attending 50% to 100% of recommended prenatal visits based on gestational age at delivery. Patients enrolled in PeriBank receive prenatal care at several clinics before delivering at our 2 enrollment and collection sites, where they were recruited at the time of delivery. Their prenatal care followed the ACOG recommendations and institutional guidelines for prenatal care. At our institution, patients were initially treated with supplemental iron therapy if their hemoglobin is below the ACOG cutoffs for anemia. If iron studies were performed at a later time and indicated iron deficiency, they were continued on iron supplementation for the remainder of the pregnancy. Moreover, most clinics performed hemoglobin electrophoresis to rule out hemoglobinopathies in all patients.
Patients with another known cause of anemia, such as vitamin B12 deficiency, thalassemia, or sickle cell disease, and those who were actively bleeding on admission to labor and delivery were excluded from the study. Furthermore, patients with an antenatal diagnosis of known or suspected placenta accreta spectrum disorder (including previa, accreta, increta, and percreta) were excluded as they often received iron prophylactically at our institution. Maternal demographics, diagnoses, medications, and outcomes were uniformly abstracted for patients.
Those patients who received iron therapy other than that included in a prenatal vitamin were considered to have a diagnosis of iron deficiency. Supplements included the brand names and generic forms of ferrous sulfate, ferrous gluconate, ferrous fumarate, and ferrous glycinate. The administration of intravenous (IV) iron was not reported consistently and so was not included in this analysis. The sample size for this analysis was exhaustive for the number of participants meeting the criteria in the database.
Criteria for patient study group allocation
Patients were categorized into 1 of 2 groups: anemic and nonanemic. Patients without anemia (eg, women who were pregnant without anemia) were used as the reference group. Patients with anemia were considered as those who were treated with an iron supplement outside of prenatal vitamin or presented to labor and delivery with anemia as defined by the ACOG criteria.5 This included a hemoglobin level of <11 g/dL in the third trimester of pregnancy or 10.5 g/dL if delivered in the second trimester of pregnancy. Patients with anemia were further sub-categorized by whether (1) they received iron therapy and (2) whether they had normal hemoglobin at the time of admission for delivery. Categories were labeled as “untreated and anemic” for women who were anemic on admission to labor and delivery and did not receive iron supplementation, “successfully treated” for women who arrived with normal hemoglobin and reported taking iron supplementation, and “refractory anemic” for those who were anemic on admission to labor and delivery despite taking an iron supplement. Recorded hemoglobin for this analysis was determined at the time of admission to labor and delivery unit on all patients in both institutions.
Maternal and neonatal outcomes
The primary maternal outcomes designated a priori as of interest were PTB before 37 weeks of gestation and PE. Other maternal outcomes included cesarean delivery, placenta abruption, intrapartum hemorrhage, postpartum hemorrhage (PPH), and composite maternal morbidity (CMM). CMM included any of the following: hypertensive disorders of pregnancy, chorioamnionitis, endometritis, placental abruption, blood transfusion, maternal ICU admission, hysterectomy, pulmonary edema, or maternal death.
The primary neonatal outcome was small for gestational age (SGA). Other neonatal outcomes evaluated included transient tachypnea of the newborn (TTN), retinopathy of prematurity, and composite neonatal morbidity (CNM). CNM included any of the following: 5-minute Apgar score of ≤3, respiratory distress syndrome, suspected or proven newborn sepsis, seizure, stillbirth, or neonatal death. SGA neonates were defined as below the 10th percentile using national birthweight reference data, which is stratified by race and ethnicity and gestational age at delivery.16 Large for gestational age (LGA) neonates were defined as above the 95th percentile using the same reference.
Covariates
Baseline maternal characteristics, comorbidities, demographics, and adverse perinatal outcomes were analyzed for all eligible participants. These included maternal age, parity, marital status, body mass index at time of delivery, educational achievement, race and ethnicity, income, and insurance type. Furthermore, maternal comorbidities were evaluated, which included chronic hypertension (CHTN), gestational diabetes mellitus (GDM), type 1 diabetes mellitus, type 2 diabetes mellitus, deep venous thrombosis and pulmonary embolus, hypothyroidism, hyperthyroidism, cardiac disease, seizure disorder, asthma, endometriosis, cancer, psychiatric disease, and substance use.
Statistical analysis
Descriptive statistics were used to report all variables of interest. Continuous variables were presented as median (interquartile range) using the Kruskal-Wallis test. Categorical variables were presented as number (percentage) and were evaluated using the chi-square test of association. All groups were initially compared as a whole to evaluate for significance.
Odds ratios (ORs) were calculated by comparing all patients with anemia to the reference group with anemia. Crude ORs (cORs) and adjusted ORs (aORs) were reported. aORs and 95% confidence intervals (CIs) were calculated using logistic regression. Variables included in the regression analyses were age, nulliparity, education, race and ethnicity, composite medical comorbidity, and tobacco use. A numeric composite of medical comorbidities was created, which included CHTN, pregestational diabetes mellitus and GDM, asthma, thyroid disease, seizure disorder, thromboembolism, cardiac disease, and psychiatric disease. For example, if a patient had 3 of these conditions, then they would receive a value of 3 for this composite. A P value of <.05 or CI excluding 1.0 was considered significant. All statistical analyses were performed, and graphs were created using the SAS software (version 9.4; SAS Institute Inc, Cary, NC).
Results
Cohort characteristics
At the time of this analysis, a total of 43,580 pregnancies had been enrolled in the perinatal database since its inception (Figure 1). After excluding individuals with missing data from key variables, a final study cohort of 20,690 patients was retained for further analysis.
FIGURE 1. Study population.
aInadequate prenatal care as defined by the Kotelchuck Adequacy of Prenatal Care Index; bMissing data included hemoglobin and gestational age at delivery.
PO, orally.
Information regarding prenatal care is listed in Table 1. The median hemoglobin was 10.2 (9.5–10.6), 12.0 (11.5–13.2), 10.3 (9.7–10.7), and 12.3 (11.7–13.0) for refractory, successful, untreated, and reference groups, respectively. Maternal demographics and comorbidities are represented in Tables 2 and 3, respectively. Successfully treated patients were more likely to be White non-Hispanic, older, nulliparous, and married with a high school education and have private insurance (Table 2). Untreated and refractory patients had similar demographics, and specifically, they were less likely to be nulliparous and married or have a high school education and more likely to be a minority, make <$35,000 per year, and have government insurance.
TABLE 1.
Characteristics of prenatal care among the study groups
| Characteristic | Patients with anemiaa | Reference group without anemia (n=13,274) |
||
|---|---|---|---|---|
| Refractory to treatment (n=1319) |
Successful treatment (n=2695) |
Untreated (n=3402) |
||
| Component | ||||
| Hemoglobin level | 10.2 (9.5–10.6) | 12.0 (11.5–13.2) | 10.3 (9.7–10.7) | 12.3 (11.7–13.0) |
| Planned pregnancy | 459 (36.2) | 1379 (52.5) | 987 (31.3) | 5581 (46.1) |
| Prenatal vitamin | 1242 (94.2) | 2598 (96.4) | 2887 (91.6) | 11,649 (93.3) |
Data are presented median (interquartile range) or number (percentage). Chi-square analysis was used to compare categorical variables. Continuous variables were assessed using the Kruskal-Wallis test.
Anemia was defined as receiving iron therapy or having a hemoglobin level below the American College of Obstetricians and Gynecologists cutoff by gestational age on admission to the labor and delivery department.
TABLE 2.
Maternal demographics by study group
| Demographic | Patients with anemiaa | Reference group without anemia (n=13,274) n (%) |
||
|---|---|---|---|---|
| Refractory to treatment (n=1319) n (%) |
Successful treatment (n=2695) n (%) |
Untreated (n=3402) n (%) |
||
| Maternal demographic | ||||
| Age at delivery (y) | ||||
| <18 | 17 (1.3) | 17 (0.6) | 76 (2.2) | 122 (0.9) |
| 18–35 | 1078 (81.8) | 2095 (77.9) | 2594 (76.3) | 10,112(76.2) |
| ≥35 | 222 (16.9) | 579 (21.5) | 730 (21.5) | 3029 (22.8) |
| Nulliparous | 325 (24.6) | 956 (35.5) | 867 (25.5) | 3923 (29.6) |
| Marital status, married | 872 (66.1) | 2147 (79.7) | 2205 (64.8) | 10,064(75.8) |
| BMI (kg/m2) | ||||
| <18.5 | 1 (0.1) | 1 (0.0) | 0 (0.0) | 6 (0.1) |
| 18.5–25.0 | 112 (9.1) | 253 (9.9) | 223 (7.0) | 1063 (8.6) |
| 25.0–30.0 | 372 (30.3) | 929 (36.5) | 922 (28.9) | 4136 (33.3) |
| 30.0–40.0 | 593 (48.3) | 1135 (44.5) | 1634 (51.2) | 6019 (48.4) |
| >40.0 | 151 (12.3) | 231 (9.1) | 415 (13.0) | 1215 (9.8) |
| High school education | 962 (76.0) | 2229 (85.4) | 1994 (64.7) | 8703 (73.1) |
| Race and ethnicity | ||||
| African American | 307 (23.5) | 437 (16.4) | 546 (16.3) | 1170 (9.0) |
| Hispanic | 726 (55.5) | 1150 (43.3) | 2122 (63.6) | 7094 (54.4) |
| White | 235 (18.0) | 863 (32.5) | 591 (17.7) | 3899 (30.0) |
| Asian | 37 (2.8) | 201 (7.6) | 75 (2.3) | 838 (6.4) |
| Otherb | 2 (0.2) | 5 (0.2) | 4 (0.1) | 22 (0.2) |
| Income<$35,000 | 607 (56.9) | 811 (35.3) | 1759 (67.6) | 4932 (48.4) |
| Insurance type | ||||
| Federal | 895 (70.0) | 1236 (46.9) | 2320 (72.0) | 6947 (55.0) |
| Private | 380 (29.7) | 1391 (52.8) | 880 (27.3) | 5621 (44.5) |
| No insurance | 4 (0.3) | 7 (0.3) | 22 (0.7) | 47 (0.5) |
Chi-square analysis was used to compare categorical variables.
BMI, body mass index.
Anemia was defined as receiving iron therapy or having a hemoglobin level below the American College of Obstetricians and Gynecologists cutoff by gestational age on admission to the labor and delivery department
Other included Native American and Pacific Islanders.
TABLE 3.
Maternal comorbidities by study group
| Variable | Patients with anemiaa | Reference group without anemia (n=13,274) n (%) or median (IQR) |
||
|---|---|---|---|---|
| Refractory to treatment (n=1319) n (%) or median (IQR) |
Successful treatment (n=2695) n (%) or median (IQR) |
Untreated (n=3402) n (%) or median (IQR) |
||
| Maternal comorbidity | ||||
| CHTN | 86 (6.5) | 106 (3.9) | 248 (7.4) | 632 (4.8) |
| Gestational DM | 92 (7.0) | 219 (8.2) | 344 (10.2) | 1399 (10.6) |
| Type 1 DM | 5 (0.4) | 10 (0.4) | 35 (1.0) | 92 (0.7) |
| Type 2 DM | 21 (1.6) | 27 (1.0) | 124 (3.7) | 334 (2.5) |
| DVT or pulmonary embolus | 4 (0.3) | 12 (0.5) | 9 (0.3) | 35 (0.3) |
| Hypothyroid | 40 (3.0) | 136 (5.1) | 136 (4.0) | 636 (4.8) |
| Hyperthyroid | 2 (0.2) | 15 (0.6) | 17 (0.5) | 57 (0.4) |
| Cardiac disease | 17 (1.3) | 29 (1.1) | 17 (0.5) | 118 (0.9) |
| Seizure disorder | 10 (0.8) | 32 (1.2) | 29 (0.9) | 110 (0.8) |
| Asthma | 115 (8.7) | 236 (8.8) | 233 (6.9) | 914 (6.9) |
| Endometriosis | 18 (1.4) | 53 (2.0) | 28 (0.8) | 167 (1.3) |
| Cancer | 9 (0.7) | 31 (1.2) | 25 (0.7) | 101 (0.8) |
| Psychiatric disease | 176 (13.4) | 368 (13.7) | 366 (10.8) | 1462 (11.1) |
| Cigarette | ||||
| Ever use | 184 (14.0) | 435 (16.1) | 347 (10.2) | 1583 (11.9) |
| Current | 14 (1.1) | 12 (0.5) | 16 (0.5) | 76 (0.6) |
| Alcohol | ||||
| Ever use | 706 (53.6) | 1717 (63.7) | 1097 (32.6) | 5723 (43.1) |
| Current | 5 (0.4) | 29 (1.1) | 35 (1.0) | 166 (1.3) |
| Marijuana | ||||
| Ever use | 89 (6.8) | 201 (7.5) | 145 (4.3) | 687 (5.2) |
| Current | 4 (0.3) | 4 (0.2) | 11 (0.3) | 23 (0.2) |
| Illicit drugsb | ||||
| Ever use | 10 (0.8) | 21 (0.8) | 21 (0.6) | 86 (0.7) |
| Current | 1 (0.1) | 4 (0.2) | 2 (0.1) | 7 (0.1) |
| Composite comorbidityc | 1.0 (0.0–1.0) | 1.0 (0.0–1.0) | 1.0 (0.0–1.0) | 1.0 (0.0–1.0) |
Chi-square analysis was used to compare categorical variables.
CHTN, chronic hypertension; DM, diabetes mellitus; DVT, deep venous thrombosis; IQR, interquartile range; T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus; Tx, treatment.
Anemia was defined as receiving iron therapy or having a hemoglobin level below the American College of Obstetricians and Gynecologists cutoff by gestational age on admission to the labor and delivery department
Illicit drugs included heroin, methamphetamine, and cocaine
Numeric composite of medical comorbidities was created, which included chronic hypertension, pregestational and gestational DM, asthma, thyroid disease, seizure disorder, thromboembolism, cardiac disease, and psychiatric disease.
Primary outcomes
Total number and percent and cORs and aORs for each outcome are listed in Tables 4 to 7. The odds of PTB were significantly increased among refractory (aOR, 1.44; 95% CI, 1.16–1.76) and untreated (aOR, 1.45; 95% CI, 1.26–1.67) patients but was significantly decreased for successfully treated patients even after controlling for confounders (aOR, 0.59; 95% CI, 0.47–0.72) (Figure 2; Tables 4 and 5). Moreover, 85.1% of preterm deliveries among all groups occurred at >32 weeks of gestation. There was a significantly decreased odds of very PTB (<32 weeks of gestation) among successfully treated patients (aOR, 0.32; 95% CI, 0.14–0.62). There was no difference in very PTB for refractory (aOR, 1.11; 95% CI, 0.62–1.88) or untreated (aOR, 1.33; 95% CI, 0.92–1.91) patients compared with the population without anemia. The causes of PTB varied by subcategory (Figure 3). There was a significant reduction in the odds of occurrence PTB because of preterm labor (PTL) (aOR, 0.49; 95% CI, 0.33–0.70), preterm premature rupture of membranes (PPROM) (aOR, 0.60; 95% CI, 0.38–0.88), and PE (aOR, 0.47; 95% CI, 0.28–0.74) among successfully treated patients. The odds of PTB because of PE significantly increased among refractory (aOR, 1.75; 95% CI, 1.17–2.53) and untreated (aOR, 1.60; 95% CI, 1.23–2.08) patients.
TABLE 4.
Composite and individual maternal outcomes by subgroup
| Outcome Outcome |
Patients with anemiaa | Nonanemic (n=13,274) n (%) |
P valuea | ||
|---|---|---|---|---|---|
| Refractory to treatment (n=1319) n (%) |
Successful treatment (n=2695) n (%) |
Untreated (n=3402) n (%) |
|||
| Cesarean delivery | 473 (35.9) | 874 (32.4) | 1182 (34.8) | 3858 (29.1) | <.0001b |
| Noncephalic (1) | 27 (2.1) | 71 (2.6) | 89 (2.6) | 405 (3.1) | — |
| RCD (13) | 193 (14.6) | 318(11.8) | 473 (13.9) | 1368 (10.3) | |
| Because of NRFHT (9) | 69 (5.2) | 203 (7.5) | 167 (4.9) | 647 (4.9) | |
| Because of preeclampsia (11) | 15 (1.1) | 10 (0.4) | 37 (1.1) | 83 (0.6) | |
| Failed IOL (7) | 45 (3.4) | 68 (2.3) | 111 (3.3) | 306 (2.3) | |
| Abruption | 4 (0.3) | 15 (0.6) | 28 (0.8) | 77 (0.6) | .1722 |
| Preterm birth | 145 (11.0) | 136 (5.1) | 410 (12.1) | 1106 (8.3) | <.0001b |
| <32.0 wk | 19 (1.4) | 12 (0.4) | 65 (1.9) | 157 (1.2) | |
| 32.0–36.9 wk | 125 (9.5) | 124 (4.6) | 343 (10.1) | 939 (7.1) | |
| Composite maternal morbidity | 377 (29.6) | 517 (19.8) | 935 (30.0) | 2709 (21.7) | <.0001b |
| Preeclampsia | 136 (11.5) | 147 (5.9) | 385 (12.4) | 1014 (8.3) | <.0001b |
| GHTN | 137 (10.4) | 214 (7.9) | 292 (8.6) | 1098 (8.3) | .0560 |
| Sepsis | 0 (0) | 0 (0) | 2 (0.1) | 3 (0.0) | .4610 |
| Chorioamnionitis | 67 (5.1) | 159 (5.9) | 222 (6.6) | 666 (5.1) | .0031b |
| Endometritis | 16 (1.2) | 19 (0.7) | 40 (1.2) | 85 (0.6) | .0034b |
| Hysterectomy | 6 (0.5) | 5 (0.2) | 10 (0.3) | 14 (0.1) | .0047b |
| ICU care | 9 (0.7) | 4 (0.2) | 15 (0.6) | 23 (0.2) | .0002b |
| Blood transfusion | 72 (5.5) | 41 (1.5) | 118 (3.5) | 130 (1.0) | <.0001b |
| Pulmonary edema | 4 (0.3) | 4 (0.2) | 11 (0.3) | 35 (0.3) | .5925 |
| Maternal death | 0 (0) | 0 (0) | 0 (0) | 0 (0) | — |
| Postpartum readmission | 14 (1.1) | 22 (0.8) | 32 (0.9) | 101 (0.8) | .5458 |
| Intrapartum hemorrhage | 51 (3.9) | 74 (2.8) | 89 (2.6) | 262 (2.0) | <.0001b |
| PPH | 47 (3.6) | 69 (2.6) | 101 (3.0) | 242 (1.8) | <.0001b |
ICU, intensive care unit; IOL, induction of labor; GHTN, gestational hypertension; PPH, postpartum hemorrhage; NRFHT, nonreassuring fetal heart tones; RCD, repeat cesarean delivery.
Chi-square analysis was used to compare all groups for significance
Indicates significant difference.
TABLE 7.
Neonatal crude and adjusted odds ratios for neonatal outcomes among patients with anemia
| Outcome | Refractory to treatment | Successful treatment | Untreated | |||
|---|---|---|---|---|---|---|
| cOR (95% CI)a | aOR (95% CI)a | cOR (95% CI) | aOR (95% CI)a | cOR (95% CI) | aOR (95% CI)a | |
| TTN | 1.89 (1.32–2.69)b | 1.82 (1.21–2.66)b,c | 1.36 (1.01–1.84)b | 1.32 (0.93–1.83) | 1.72 (1.33–2.22)b | 1.54 (1.14–2.06)b,c |
| ROP | 0.84 (0.30–2.32) | 0.39 (0.09–1.13) | 0.10 (0.01–0.74) | 0.15 (0.01–0.73) | 1.55 (0.91–2.64) | 0.99 (0.51–1.83) |
| SGA | 0.76 (0.65–0.88)b | 0.71 (0.59–0.84)b | 0.82 (0.74–0.91)b | 0.82 (0.72–0.93)b | 0.85 (0.78–0.94)b | 0.71 (0.63–0.80)b |
| LGA | 1.13 (0.95–1.35) | 1.16 (0.94–1.43) | 1.11 (0.97–1.26) | 1.17 (1.01 –1.37)b | 1.48 (1.33–1.65)b | 1.42 (1.24–1.63)b |
| Composite neonatal morbidity | 1.17 (0.98–1.40) | 1.08 (0.88–1.32) | 0.93 (0.81–1.07) | 1.02 (0.87–1.19) | 1.11 (0.98–1.25) | 0.98 (0.85–1.13) |
| 5-min Apgar of ≤3 | 1.07 (0.25–4.59) | 1.05 (0.06–5.95) | — | — | 2.06 (0.96–4.44) | 2.67 (0.84–7.93) |
| RDS | 1.41 (1.05–1.89)b | 1.04 (0.72–1.48) | 0.83 (0.64–1.09) | 1.03 (0.75–1.40) | 1.60 (1.42–1.93)b | 1.29 (1.01–1.63) |
| Vent or CPAP | 0.63 (0.15–2.61) | 0.33 (0.02–1.57) | 0.46 (0.14–1.50) | 0.56 (0.09–1.95) | 1.22 (0.60–2.49) | 0.53 (0.18–1.29) |
| Seizures | 2.24 (0.76–6.62) | 1.03 (0.16–3.83) | 0.55 (0.13–2.36) | 0.66 (0.10–2.44) | — | — |
| Sepsis | 1.06 (0.86–1.32) | 1.08 (0.84–1.37) | 1.00 (0.86–1.18) | 1.04 (0.87–1.24) | 0.90 (0.77–1.04) | 0.85 (0.71 –1.01) |
| Stillbirth | 1.83 (0.41 –8.27) | 3.71 (0.52–17.84) | 0.45 (0.06–3.47) | 1.07 (0.05–7.09) | 1.77 (0.62–5.11) | 2.51 (0.61–9.67) |
| Neonatal death | 1.12 (0.34–3.69) | 0.95 (0.22–2.87) | 0.91 (0.35–2.37) | 0.99 (0.28–2.70) | 1.45 (0.60–2.99) | 1.60 (0.68–3.52) |
aOR was not reported as minimum number of events was not met.
aOR, adjusted odds ratio; CI, confidence interval; CPAP, continuous positive airway pressure; cOR, crude odds ratio; LGA, large for gestational age; RDS, respiratory distress syndrome; ROP, retinopathy of prematurity; SGA, small for gestational age; TTN, transient tachypnea of newborn; Vent, mechanical ventilator.
Multivariate logistic regression was adjusted for confounders, which included race, education, nulliparity, preterm birth, preeclampsia, education, composite of maternal medical conditions, delivery route, and substance use
XXX
Adjusted only for preterm delivery and delivery route as incidence was low and minimal number of events was not met for adjustment of all confounders.
FIGURE 2. aORs and cORs of adverse maternal and neonatal outcomes of the study group compared with the reference population.

There was a significant reduction in the odds of preterm birth (aOR, 0.59; 95% CI, 0.47–0.72) and preeclampsia (aOR, 0.75; 95% CI, 0.61–0.91) among successfully treated patients.
aOR, adjusted odds ratio; CI, confidence interval; cOR, crude odds ratio.
TABLE 5.
Crude and adjusted odds ratios for maternal outcomes by subgroup of patients with anemia
| Variable Outcome | Refractory to treatment | Successful treatment | Untreated | |||
|---|---|---|---|---|---|---|
| cOR (95% CI) | aOR (95% CI) | cOR (95% CI) | aOR (95% CI) | cOR (95% CI) | aOR (95% CI) | |
| Preterm birth | 1.36 (1.13–1.63)a | 1.44 (1.16–1.76)a,b | 0.58 (0.49–0.70)a | 0.59 (0.47–0.72)a,b | 1.51 (1.34–1.70)a | 1.45 (1.26–1.67)a,b |
| Because of PTL | 0.96 (0.58–1.33) | 0.85 (0.55–1.25)b | 0.46 (0.33–0.64)a | 0.49 (0.33–0.70)a,b | 1.27 (1.04–1.55) | 1.27 (0.88–1.43)b |
| Because of PPROM | 1.16 (0.78–1.73) | 1.11 (0.69–1.71)b | 0.66 (0.46–0.96)a | 0.60 (0.38–0.88)a,b | 1.21 (0.93–1.57) | 1.27 (0.93–1.72)b |
| Because of preeclampsia | 1.45 (1.04–2.05)a | 1.75 (1.17–2.53)a,b | 0.44 (0.29–0.66)a | 0.47 (0.28–0.74)a,b | 1.69 (1.36–2.11)a | 1.60 (1.23–2.08)a,b |
| Because of NRFHT | 1.85 (0.91 –3.78) | 2.38 (1.01 –4.99)a,b | 0.60 (0.26–1.41) | 0.52 (0.16–1.33)b | 0.56 (0.25–1.23) | 0.67 (0.25–1.51)b |
| Composite maternal | 1.51 (1.33–1.72)a | 1.70 (1.44–2.01)a,b | 0.89 (0.80–0.99)a | 0.89 (0.77–1.03)b | 1.54 (1.41 –1.68)a | 1.71 (1.52–1.92)a,b |
| Preeclampsia | 1.43 (1.18–1.73)a | 1.54 (1.24–1.89)a,b | 0.69 (0.58–0.83)a | 0.75 (0.61 –0.91)a,b | 1.56 (1.38–1.77)a | 1.44 (1.25–1.67)a,b |
| GHTN | 1.29 (1.07–1.55)a | 1.54 (0.63–3.28)b | 0.96 (0.82–1.11) | 0.75 (0.31 –1.57)b | 1.04 (0.91–1.19) | 1.28 (0.68–2.28)b |
| Sepsis | d | d | d | d | 2.60 (0.43–15.58) | |
| Chorioamnionitis | 1.01 (0.79–1.31) | 0.93 (0.67–1.25)c | 1.18 (0.99–1.41) | 1.11 (0.90–1.37)c | 1.32 (1.13–1.55)a | 1.43 (1.18–1.72)a,c |
| Endometritis | 1.90 (1.11–3.25)a | 1.70 (0.86–3.11)c | 1.10 (0.67–1.82) | 0.93 (0.49–1.66)c | 1.85 (1.27–2.69)a | 1.78 (1.12–2.80)a,c |
| Hysterectomy | 4.24 (1.63–11.06)a | 6.63 (2.17– 18.97)a,c | 1.70 (0.61 –4.71) | 2.05 (0.55–6.42)c | 2.92 (1.30–6.59)a | 2.90 (1.02–7.92)a,c |
| ICU care | 3.93 (1.81–8.51)a | 2.31 (0.74–6.06)c | 0.86 (0.30–2.48) | 0.83 (0.19–2.54)c | 2.55 (1.33–4.90)a | 3.01 (1.39–6.40)a,c |
| Blood transfusion | 5.84 (4.35–7.83)a | 6.05 (4.29–8.48)a,c | 1.56 (1.10–2.22)a | 1.49 (0.97–2.23)c | 3.63 (2.82–4.67)a | 3.70 (2.76–4.98)a,c |
| Pulmonary edema | 1.14 (0.40–3.21) | 1.78 (0.51 –4.88)c | 0.56 (0.20–1.58) | 0.55 (0.09–1.94)c | 1.23 (0.62–2.42) | 1.25 (0.48–2.92)c |
| Maternal death | d | d | d | d | d | d |
| Postpartum readmission | 1.40 (0.80–2.45) | 1.21 (0.56–2.33)c | 1.07 (0.68–1.71) | 1.20 (0.70–1.97)c | 1.24 (0.83–1.85) | 1.23 (0.74–1.98)c |
| Intrapartum hemorrhage | 1.99 (1.47–2.70)a | 2.03 (1.41 –2.86)a,c | 1.40 (1.08–1.82)a | 1.43 (1.06–1.90)a,b | 1.33 (1.05–1.70)a | 1.31 (0.98–1.73)c |
| PPH | 1.98 (1.44–2.73)a | 2.04 (1.40–2.89)a,c | 1.42 (1.08–1.86)a | 1.44 (1.05–1.94)a,c | 1.65 (1.30–2.08)a | 1.56 (1.18–2.05)a,c |
| Cesarean delivery | 1.36 (1.21–1.54)a | 1.53 (1.33–1.75)a,c | 1.17 (1.07–1.28)a | 1.09 (0.98–1.21)c | 1.30 (1.20–1.41)a | 1.38 (1.25–1.51)a,c |
| Abruption | 0.52 (0.19–1.42) | 0.54 (0.13–1.49)c | 0.96 (0.55–1.67) | 0.77 (0.35–1.50)c | 1.42 (0.92–2.20) | 1.97 (1.19–3.18)a,c |
aOR, adjusted odds ratio; CI, confidence interval; cOR, crude odds ratio; GHTN, gestational hypertension; ICU, intensive care unit; NRFHT, nonreassuring fetal heart tones; PPH, postpartum hemorrhage; PPROM, preterm premature rupture of membranes; PTL, preterm labor.
Indicates significant difference
Multivariate logistic regression was adjusted for confounders of age, nulliparity, education status, race and ethnicity, composite medical condition, and tobacco use
Multivariate logistic regression was adjusted for confounders of age, nulliparity, education status, race and ethnicity, composite medical condition, preeclampsia, and tobacco use
Not reported as minimum number of events not met.
FIGURE 3. Incidence of PTB stratified by cause in anemia.

There was a significant reduction in the odds of PTB for successfully treated patients. This can be attributed to a significant reduction in the odds of PTL, PPROM, and PreE. aOther causes included placenta previa, placental abruption, oligohydramnios, growth restriction, fetal demise, and unknown.
NRFHT, nonreassuring fetal heart tones; PPROM, preterm premature rupture of membranes; PreE, preeclampsia; PTB, preterm birth; PTL, preterm labor.
These findings were similar when evaluating the odds of developing PE at all gestational ages. The odds of PE significantly decreased among successfully treated patients (aOR, 0.75; 95% CI, 0.61–0.91). There was a significant increase in the odds of PE among refractory (aOR, 1.54; 95% CI, 1.24–1.89) and untreated (aOR, 1.44; 95% CI, 1.25–1.67) patients.
Secondary outcomes
CMM was significantly increased among refractory (aOR, 1.70; 95% CI, 1.44–2.01) and untreated (aOR, 1.71; 95% CI, 1.52–1.92) patients (Tables 4 and 5; Figure 2). The odds of CMM was not significantly different between successfully treated patients and patients with anemia after controlling for confounders (aOR, 0.89; 95% CI, 0.77–1.03). Refractory and untreated patients had considerably increased odds of hysterectomy and blood transfusion. Moreover, untreated patients had considerably increased odds of chorioamnionitis, endometritis, and need for ICU care. There was no maternal death in the cohort. All anemic categories had an increased odds of PPH after controlling for confounders. There was a significant increase in the odds of cesarean delivery for refractory (aOR, 1.53; 95% CI, 1.33–1.75) and untreated (aOR, 1.38; 95% CI, 1.25–1.51) patients, but there was no difference for successfully treated patients (aOR, 1.09; 95% CI, 0.98–1.21) compared with patients without anemia.
The evaluation of neonatal outcomes revealed that refractory and untreated patients with anemia were considerably more likely to have a baby with TTN after controlling for preterm status, but this was not substantial for successfully treated patients (Tables 6 and 7; Figure 2). All anemic categories had a considerable reduction in the odds of delivering an SGA neonate even after controlling for confounders. There was a considerable increase in the odds of delivering an LGA neonate for successfully treated and untreated patients. There was no difference in the odds of CNM.
TABLE 6.
Composite and individual neonatal outcomes for patients with anemia based on subgroup
| Variable | Patients with anemia | Nonanemic (n=13,274) n (%) or median (IQR) |
P valuea | ||
|---|---|---|---|---|---|
| Refractory to treatment (n=1319) N z(%) or median (IQR) |
Successful treatment (n=2695) n (%) or median (IQR) |
Untreated (n=3402) n (%) or median (IQR) |
|||
| Gestational age at delivery (wk) | 39.0 (39.0–40.4) | 39.3 (38.6–40.0) | 39.0 (37.7–39.9) | 39.1 (38.3–40.0) | <.0001b |
| Birthweight (g) | 3269 (2945–3569) | 3340 (3035–3655) | 3315 (2975–3646) | 3302 (2990–3625) | <.0001b |
| TTN | 37 (2.8) | 55 (2.1) | 87 (2.6) | 200 (1.5) | <.0001b |
| ROP | 4 (0.3) | 1 (0.0) | 19 (0.6) | 48 (0.4) | .0074b |
| SGA | 231 (17.5) | 502 (18.6) | 655 (19.3) | 2914 (22.0) | <.0001b |
| LGA | 154 (11.7) | 309 (11.5) | 502 (14.8) | 1391 (10.5) | <.0001b |
| Composite neonatal morbidity | 158 (12.3) | 261 (10.0) | 387 (11.7) | 1,378 (10.7) | .0537 |
| 5-min Apgar score of ≤3 | 2 (0.2) | 0 (0) | 10 (0.3) | 19 (0.2) | .0316b |
| RDS | 53 (4.0) | 65 (2.4) | 154 (4.5) | 383 (2.9) | <.0001b |
| Vent or CPAP | 2 (0.20) | 3 (0.11) | 10 (0.30) | 32 (0.20) | .4328 |
| Seizures | 4 (0.3) | 2 (0.1) | 0 (0) | 18 (0.1) | .0327b |
| Suspected or proven sepsis | 101 (7.7) | 196 (7.3) | 223 (6.6) | 962 (7.3) | .4479 |
| Stillbirth | 2 (0.2) | 1 (0.0) | 5 (0.2) | 11 (0.1) | .4510 |
| Neonatal death | 3 (0.2) | 5 (0.2) | 10 (0.3) | 27 (0.2) | .7601 |
CPAP, continuous positive airway pressure; IQR, interquartile range; LGA, large for gestational age; RDS, respiratory distress syndrome; ROP, retinopathy of prematurity; SGA, small for gestational age; TTN, transient tachypnea of newborn; Vent, mechanical ventilator.
Chi-square analysis was used to compare all groups for significance. Continuous variables were assessed using the Kruskal-Wallis test
Indicates significant difference.
Comment
Principal findings
This study was designed to evaluate whether successful response to iron therapy (“successful treatment”) affected maternal and neonatal outcomes in women with anemia with adequate prenatal care in a large population-based cohort. Successfully treated patients had a considerable reduction in adjusted odds of PE and PTB. Similar to untreated women with anemia, refractory women had higher odds of most maternal outcomes, including PTB, CMM, PE, blood transfusion, endometritis, and cesarean delivery. All groups with anemia had a higher odds of PPH. Interestingly, there was a considerable reduction in the odds of all women with anemia delivering an SGA neonate.
This study confirmed that pregnant persons with iron deficiency anemia have higher odds of perinatal morbidity after adjusting for potential confounders. Moreover, it uniquely demonstrated that risk is dependent on (1) receipt of iron supplementation and (2) “successful treatment” under a considerable and clinically relevant increase in hemoglobin. Specifically, we showed that successful treatment of anemia with iron therapy can reduce the odds of maternal and neonatal complications.
Comparison with other studies and clinical implications
This study describes a comprehensive evaluation of outcomes associated with anemia and response to treatment and supplementation. A search for the terms “iron therapy,” “iron supplementation,” “iron deficiency anemia,” “maternal morbidity,” “neonatal morbidity,” and “maternal outcomes” in PubMed ranging from 1980 revealed no similar study inclusive of the approach and data with findings herein.
Approximately one-third of our population was composed of women who were pregnant and with anemia; although this was higher than the typical prevalence in North America, it was not surprising given that most of our patients had other risk factors for anemia, such as concurrent medical comorbidities.17,18 Anemia has been associated with PTB in several previous and smaller case-control studies.2,6–8
The underlying true causes of this association are poorly understood, but we speculate that it could be attributable to associated placental hypoxia and/or increased oxidative stress that is hypothesized to lead to hypertensive disorders and PTL and PPROM.19 We noted that our patients with anemia had higher odds of PTB as a group, but this effect differed in each subgroup. Our patients with anemia who were successfully treated had a considerably reduced odds of PTB, which seemed to be related to a reduction in PTL, PPROM, and PE. Our refractory and untreated women had an increased odds of PTB, which may potentially be related to persistent increased oxidative stress and placental hypoxia. However, this study did not test that hypothesis.
A single retrospective study in Hungary reported that iron therapy mitigated the increased risk of PTB in their population with anemia.19 Conversely, a large meta-analysis of 48 randomized controlled trials found that iron therapy was not considerably associated with a reduction in PTB among women who were pregnant with anemia.20 However, unlike our study, neither of these other studies stratified by treatment response nor success of treatment (which may be a reflection of the duration of therapy), which may explain our differing interpretations. It is possible that iron therapy would reduce placental and neonatal stress by supporting hematopoiesis and oxygen-carrying capacity. However, this benefit was not realized among women who were pregnant and had anemia that was refractory to therapy, and their PTB rate was increased. Therefore, iron alone did not seem to provide this benefit unless occurring in the context of correcting anemia. Although one might have expected to see an improvement in a CNM with a reduction in the risk of PTB, this was not observed here as there was no difference in CNM for our successfully treated group.
When assessing all patients with anemia, there was a considerable increase in the adjusted odds of PE, which has been demonstrated in previous studies.2,21 Moreover, 1 Cochrane review noted no significant difference in the rate of PE among women receiving daily iron therapy vs controls.22 However, this was applied to all pregnant women regardless of anemia status, and many of the studies they included were from low-income countries, which may not apply to our population. These studies did not evaluate the effect of iron therapy on outcomes. We noted that there was a 25% reduction in the adjusted odds of PE with successful iron therapy compared with the reference group. This benefit was not seen among refractory patients. Our findings suggested that the association between anemia and PE may be reversed among women with adequate treatment of iron deficiency anemia. It is possible that this association is related to the resolution of anemia with subsequent improved oxygen-carrying capacity of maternal blood and, therefore, reduced oxidative stress at the placental-maternal interface.23,24
In addition, there were several interesting findings from our secondary outcomes. The rate of PPH was considerably increased in our cohort with anemia. Interestingly, even successful treatment was associated with a 40% increase in the odds of intrapartum and PPH, even after adjusting for confounders. The cause for this association was likely multifactorial and more likely to represent those at risk of PPH being repeatedly advised and counseled regarding benefits and efficacy of iron therapy (given their at-risk status). However, we could not decipher from our database whether this had occurred and remains speculative but informed by our general approach to maternal care. Moreover, patients who were either untreated or refractory had an increased odds of cesarean delivery. Although there was an increased odds of cesarean delivery among our successfully treated patients, this was not substantial after controlling for confounders. We speculate that the association between anemia and cesarean delivery could also arise from other factors or comorbidities, including decreased placental reserve from recent or current anemia and increased maternal fatigue during labor.19 Interestingly, the rate of blood transfusion and hysterectomy were, like cesarean delivery, only considerably increased among refractory and untreated patients with anemia after controlling for confounders. This may have been, in part, related to lower average starting hemoglobin in addition to the increased risk of PPH and subsequent need for surgical treatment of hemorrhage. Women with untreated anemia were not only 3 times more likely to undergo hysterectomy but also 3 times more likely to receive ICU care after adjusting for confounders. This suggested that anemia in pregnancy is associated with major maternal morbidity and increased healthcare costs, although the causal relationship cannot be determined in the current study.
Multiple studies have noted an association between both occurrence and severity of maternal anemia in association with risk of delivery of an SGA neonate.21,25,26 This may be because of the effect of considerably lower hemoglobin on placental perfusion with oxygenated blood, leading to decreased fetal growth.25 A recent study found that although the odds of SGA considerably increased among gravidae with anemia compared with the reference population, the odds considerably decreased for women who were pregnant and only manifested mild anemia (hemoglobin level between 9 and 10.9 g/dL).2 The adjusted odds of delivering an SGA neonate were considerably reduced among our untreated and refractory populations, both of which had a median hemoglobin in this range. Interestingly, the odds of SGA also decreased among our gravidae with successfully treated anemia, which may indicate these patients, like our other groups with anemia, had a mild anemia in the third trimester of pregnancy. Our results and previous studies suggested that fetal growth and placental nutrient exchange may be contributory factors in mild maternal iron depletion and anemia.27
We are unsure why our refractory population did not respond to iron therapy. This could be related to unmet challenges to compliance, an undiagnosed secondary micronutrient deficiency, or coexisting morbidities that are associated with reduced absorption (ie, celiac disease, Helicobacter pylori infection, gastritis, or inflammatory bowel disease).28,29 The findings from this study emphasized the need to adequately treat and monitor response to iron therapy among women with anemia in pregnancy. This included appropriate counseling on when to take the supplement to optimize absorption and reduce side effect profile. Given the findings associated with refractory and untreated anemia compared with successfully treated women with anemia, anemia unresponsive to oral iron supplementation warrants consideration for evaluation of coexistent comorbidities and potential responsiveness to IV iron therapy. Moreover, we cannot explain why women with sufficient prenatal care as included in our study did not receive treatment of iron deficiency anemia in the untreated group. This may be related to unmet challenges with compliance with recommended care, but that is speculative. Our lack of detailed knowledge emphasized the need to directly query women in pregnancy for important social determinants of health that not only impact their care but are also associated with perinatal morbidity.30
Research implications
Although this study demonstrated an association between several maternal and neonatal outcomes with responsiveness to iron therapy for the treatment of anemia in pregnancies, cause and effect could not be determined, and several questions remain. Further research is necessary to identify the mechanisms by which iron deficiency anemia contributes to these pathologies. In addition, future studies need to evaluate the impact of iron deficiency without anemia on similar outcomes, which was not assessed in this study. Moreover, this study reiterated some urgency in determining the optimal iron regimen for iron deficiency anemia in pregnancy and evaluating why some compliant women fail to respond to adequate therapy. Lastly, our results provided further rationalization for future clinical research into how protocols for the management of iron deficiency anemia in pregnancy could be of benefit.
Strengths and limitations
Our study benefited from a large sample size and a population-based approach, which created an ethnically and socioeconomically diverse cohort. The database had extensive demographic and comorbidity information, which could be considered and accounted for in our analysis. However, 1 limitation was that our uniform working definition of anemia was based on nadir hemoglobin on admission to labor and delivery and/or the use of ferrous sulfate. It was assumed that women treated with iron had iron deficiency as iron studies were not abstracted on every patient within this database. In our experience, nearly all women with anemia in our cohort have abnormal iron studies suggestive of iron deficiency. However, this may have incorrectly classified some women within the cohort. In addition, there was no compliance or dosing data, and some providers likely failed to address challenges, which limited our patient’s ability to comply with recommended therapy. However, these limitations were reflective of the “real-world” clinical setting, and cohort stratification and cohort size minimized these limitations.
Conclusions
Using a large, diverse, population-based cohort, we observed a considerable association between unsuccessful treatment of iron deficiency anemia during pregnancy and adverse perinatal outcomes, inclusive of PTB. Accurate diagnosis of the underlying cause of anemia during pregnancy, and enabling correct choice and duration of treatment, may play a key role in reducing maternal and neonatal morbidities and mortalities.
Supplementary Material
AJOG MFM at a Glance.
Why was this study conducted?
Iron deficiency anemia during pregnancy is associated with maternal and neonatal morbidities and affects 40% of women worldwide. We do not yet know whether iron therapy improves outcomes and if all women will be equally responsive to iron therapy.
Key findings
Successful response to iron therapy was associated with a reduced odds of developing preeclampsia and/or preterm delivery. Anemia left untreated or refractory to iron therapy was associated with a considerably increased odds of occurrence of these outcomes.
What does this add to what is known?
Anemia was associated with increased maternal morbidity, and the impact of iron therapy on these outcomes was dependent on treatment response. Patients who received iron therapy and had a resolution of their anemia had better outcomes than those who remained untreated or anemic despite therapy.
Acknowledgments
The authors gratefully acknowledge the support of the National Institutes of Health’s (NIH) National Institute of Nursing Research (grant number R01NR014792;K.M.A.), the NIH’s Eunice Kennedy Shriver National Institute of Child Health and Human Development (grant number R01HD091731), the Burroughs Wellcome Fund Preterm Birth Initiative (K.M.A.), and the March of Dimes Preterm Birth Research Initiative (K.M.A.). The sponsors did not have any role in the study design, data collection, analysis, interpretation, or writing of the manuscript or decision to submit for publication.
Footnotes
The authors report no conflict of interest.
This study was presented as a poster at the 40th annual meeting of the Society for Maternal-Fetal Medicine, Dallas, TX, February 3–8, 2020.
Supplementary materials
Supplementary material associated with this article can be found in the online version at doi:10.1016/j.ajogmf.2022.100569.
Contributor Information
Sarah E. Detlefs, Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX.
Michael D. Jochum, Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX.
Bahram Salmanian, Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX.
Jennifer R. McKinney, Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX.
Kjersti M. Aagaard, Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX; Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Molecular and Cell Biology, Baylor College of Medicine, Houston, TX.
References
- 1.Stevens GA, Finucane MM, De-Regil LM, et al. Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995–2011: a systematic analysis of population-representative data. Lancet Glob Health 2013;1:e16–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Smith C, Teng F, Branch E, Chu S, Joseph KS. Maternal and perinatal morbidity and mortality associated with anemia in pregnancy. Obstet Gynecol 2019;134:1234–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Beckert RH, Baer RJ, Anderson JG, Jelliffe-Pawlowski LL, Rogers EE. Maternal anemia and pregnancy outcomes: a population-based study. J Perinatol 2019;39:911–9. [DOI] [PubMed] [Google Scholar]
- 4.World Health Organization. Prevalence of anaemia in pregnant women (aged 15201349) (%). 2021. Available at: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-anaemia-in-pregnant-women-(-). Accessed December 6, 2021.
- 5.American College of Obstetricians and Gynecologists. ACOG Practice Bulletin No. 95: anemia in pregnancy. Obstet Gynecol 2008;112:201–7. [DOI] [PubMed] [Google Scholar]
- 6.Levy A, Fraser D, Katz M, Mazor M, Sheiner E. Maternal anemia during pregnancy is an independent risk factor for low birthweight and preterm delivery. Eur J Obstet Gynecol Reprod Biol 2005;122:182–6. [DOI] [PubMed] [Google Scholar]
- 7.Lin L, Wei Y, Zhu W, et al. Prevalence, risk factors and associated adverse pregnancy outcomes of anaemia in Chinese pregnant women: a multicentre retrospective study. BMC Pregnancy Childbirth 2018;18:111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Klebanoff MA, Shiono PH, Selby JV, Trachtenberg AI, Graubard BI. Anemia and spontaneous preterm birth. Am J Obstet Gynecol 1991;164:59–63. [DOI] [PubMed] [Google Scholar]
- 9.Reveiz L, Gyte GM, Cuervo LG, Casasbuenas A. Treatments for iron-deficiency anaemia in pregnancy. Cochrane Database Syst Rev 2011:CD003094. [DOI] [PubMed] [Google Scholar]
- 10.Antony KM, Hemarajata P, Chen J, et al. Generation and validation of a universal perinatal database and biospecimen repository: PeriBank. J Perinatol 2016;36:921–9. [DOI] [PubMed] [Google Scholar]
- 11.Chu DM, Aagaard J, Levitt R, et al. Cohort analysis of immigrant rhetoric on timely and regular access of prenatal care. Obstet Gynecol 2019;133:117–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Mendez-Figueroa H, Chauhan SP, Tolcher MC, et al. Peripartum outcomes before and after hurricane Harvey. Obstet Gynecol 2019;134:1005–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kotelchuck M. An evaluation of the Kessner Adequacy of Prenatal Care Index and a proposed Adequacy of Prenatal Care Utilization Index. Am J Public Health 1994;84:1414–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Alexander GR, Kotelchuck M. Quantifying the adequacy of prenatal care: a comparison of indices. Public Health Rep 1996;111:408–19. [PMC free article] [PubMed] [Google Scholar]
- 15.Debiec KE, Paul KJ, Mitchell CM, Hitti JE. Inadequate prenatal care and risk of preterm delivery among adolescents: a retrospective study over 10 years. Am J Obstet Gynecol 2010;203:122.e1–6. [DOI] [PubMed] [Google Scholar]
- 16.Duryea EL, Hawkins JS, McIntire DD, Casey BM, Leveno KJ. A revised birth weight reference for the United States. Obstet Gynecol 2014;124:16–22. [DOI] [PubMed] [Google Scholar]
- 17.Goonewardene M, Shehata M, Hamad A. Anaemia in pregnancy. Best Pract Res Clin Obstet Gynaecol 2012;26:3–24. [DOI] [PubMed] [Google Scholar]
- 18.Breymann C. Iron deficiency anemia in pregnancy. Semin Hematol 2015;52:339–47. [DOI] [PubMed] [Google Scholar]
- 19.Bánhidy F, Ács N, Puhó EH, Czeizel AE. Iron deficiency anemia: pregnancy outcomes with or without iron supplementation. Nutrition 2011;27:65–72. [DOI] [PubMed] [Google Scholar]
- 20.Haider BA, Olofin I, Wang M, et al. Anaemia, prenatal iron use, and risk of adverse pregnancy outcomes: systematic review and meta-analysis. BMJ 2013;346:f3443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Young MF, Oaks BM, Tandon S, Martorell R, Dewey KG, Wendt AS. Maternal hemoglobin concentrations across pregnancy and maternal and child health: a systematic review and meta-analysis. Ann N Y Acad Sci 2019;1450:47–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Penña-Rosas JP, De-Regil LM, Garcia-Casal MN, Dowswell T. Daily oral iron supplementation during pregnancy. Cochrane Database Syst Rev 2015:CD004736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Yoo JH, Maeng HY, Sun YK, et al. Oxidative status in iron-deficiency anemia. J Clin Lab Anal 2009;23:319–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bozkaya VÖ, Oskovi-Kaplan ZA, Erel O, Keskin LH. Anemia in pregnancy: it’s effect on oxidative stress and cardiac parameters. J Matern Fetal Neonatal Med 2021;34:105–11. [DOI] [PubMed] [Google Scholar]
- 25.Bakacak M, Avci F, Ercan O, et al. The effect of maternal hemoglobin concentration on fetal birth weight according to trimesters. J Matern Fetal Neonatal Med 2015;28:2106–10. [DOI] [PubMed] [Google Scholar]
- 26.Yildiz Y, Özgü E, Unlu SB, Salman B, Eyi EG. The relationship between third trimester maternal hemoglobin and birth weight/length; results from the tertiary center in Turkey. J Matern Fetal Neonatal Med 2014;27:729–32. [DOI] [PubMed] [Google Scholar]
- 27.Drukker L, Hants Y, Farkash R, Ruchlemer R, Samueloff A, Grisaru-Granovsky S. Iron deficiency anemia at admission for labor and delivery is associated with an increased risk for cesarean section and adverse maternal and neonatal outcomes. Transfusion 2015;55:2799–806. [DOI] [PubMed] [Google Scholar]
- 28.Weyermann M, Rothenbacher D, Gayer L, et al. Role of Helicobacter pylori infection in iron deficiency during pregnancy. Am J Obstet Gynecol 2005;192:548–53. [DOI] [PubMed] [Google Scholar]
- 29.Hershko C, Camaschella C. How I treat unexplained refractory iron deficiency anemia. Blood 2014;123:326–33. [DOI] [PubMed] [Google Scholar]
- 30.Wang E, Glazer KB, Howell EA, Janevic TM. Social determinants of pregnancy-related mortality and morbidity in the United States: a systematic review. Obstet Gynecol 2020;135:896–915. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

