Abstract
Objective
To compare maternal and neonatal outcomes in nulliparous women with non-medically indicated inductions at term versus those expectantly managed.
Study Design
Data were obtained from maternal and neonatal charts for all deliveries on randomly selected days across 25 US hospitals over a three-year period. A low-risk subset of nulliparas with vertex non-anomalous singleton gestations who delivered 38 0/7 to 41 6/7 weeks were selected. Maternal and neonatal outcomes for non medically indicated induction within each week were compared with women who did not undergo non medically indicated induction during that week. Multivariable analysis was used to adjust for hospital, maternal age, race/ethnicity, body mass index, cigarette use and insurance status.
Results
31,169 women met criteria. Neonatal complications were either less frequent with non medically indicated induction or no different between groups. Non medically indicated induction was associated with less frequent peripartum infections (OR 0.39, 95%CI 0.16–0.98) at 38 weeks and less frequent third and fourth degree lacerations (OR 0.60, 95%CI 0.42–0.86) and less frequent peripartum infections (OR 0.66, 95% CI 0.49–0.90) at 39 weeks. Non medically indicated induction was associated with a longer admission-to-delivery time by approximately 3 to 4 hours and increased odds of cesarean delivery at 38 weeks (OR 1.50 95%CI 1.08–2.08) and 40 weeks (OR 1.30, 95%CI 1.15–1.46).
Conclusion
At 39 weeks, non medically indicated induction is associated with lower maternal and neonatal morbidity than women expectantly managed.
INTRODUCTION
Traditionally non-medically indicated induction of labor has been thought to increase cesarean delivery and thus maternal complications, especially in nulliparous patients. 1 However, many of the studies that have led to this conclusion have compared women undergoing induction with those in spontaneous labor. 2–4 Unfortunately, spontaneous labor is not the actual alternative to induction that is available to physicians, and the appropriate comparison group should be composed of women undergoing expectant management. 5
Previous studies comparing expectant management with non-medically indicated induction of labor have used administrative data or have been from single centers. 5–7 The coding of labor induction indication is known to be inaccurate within administrative data, 8 9 making these data sets suboptimal for these types of studies. Single center studies have been hampered by a sample size that is either too small to detect meaningful differences or a time frame that is so long that relevance to contemporary practice is uncertain.
The APEX (Assessment of Perinatal EXellence) study, conducted by the Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units (MFMU) Network, utilized direct chart abstraction by trained research personnel to collect information on intrapartum care from 25 geographically dispersed hospitals. This database provides a resource that can provide the information necessary to help evaluate the consequence of non medically indicated induction. The present study is a secondary analysis of the APEX data that compares maternal and neonatal outcomes for nulliparas who undergo non medically indicated induction of labor with those of nulliparas who are expectantly managed.
METHODS
Between 2008 and 2011, we assembled a cohort of women and their neonates born in any of the 25 hospitals in the MFMU Network. This study, the Assessment of Perinatal EXcellence (APEX), was designed to develop quality measures for intrapartum obstetrical care. The APEX study was approved by the Institutional Review Board at each participating institution under a waiver of informed consent. This manuscript is a planned secondary analysis of the data collected during APEX.
A full description of the methods of data collection has been described previously.10 In short, any patient who delivered at a hospital, was at least 23 weeks of gestation, and had a live fetus on admission was included. Data were collected on randomly selected days, chosen via computer-generated random selection, occurring over a three-year period (March 2008 to February 2011). The medical records for all eligible women and babies were abstracted by trained and certified research personnel and entered into a web-based data entry system. Data recorded included demographic characteristics, details of the medical and obstetrical history, information about intrapartum and postpartum events, and maternal and neonatal outcomes data. Maternal data were collected until discharge and neonatal data were collected up until discharge or until 120 days of age, whichever came first.
The present analysis includes nulliparous women with singleton, vertex, non-anomalous gestations who delivered between 38 0/7 and 41 6/7 weeks. We excluded women delivering beyond 41 6/7 as they were post dates and by definition had an indication for induction. Additionally, women in our analysis did not have a scheduled non-medically indicated cesarean delivery. Additionally they did not have any of the following: pregestational or gestational diabetes mellitus, placenta accreta, placenta previa, placental abruption, use of anticoagulation, prior myomectomy, cocaine/methamphetamine use, chronic hypertension, or preeclampsia diagnosed before 38 weeks. This was done to insure that we had a low-risk cohort that was eligible for a non medically indicated induction as opposed to an indicated induction. Women were classified as having had a non medically indicated induction if they were coded as having had an “elective” induction or if an induction was performed without any other medical indication apparent in the chart. The study group assignment to non medically indicated vs. expectantly managed was assigned after the entire data set was collected.
Maternal outcomes chosen a priori were: postpartum hemorrhage, 3rd and 4th degree lacerations, peripartum infection, mode of delivery, time from admission to delivery, and delivery to discharge. Neonatal outcomes chosen a priori were: NICU admission, hyperbilirubinemia requiring treatment, an adverse respiratory outcome composite (respiratory distress syndrome, continuous positive airway pressure, or ventilator support started within 24 hours of birth on one or more days delivery), and an adverse neonatal outcome composite (5 minute Apgar score < 4, skeletal fracture other than of the clavicle, facial nerve palsy, brachial plexus palsy, subgaleal hemorrhage, ventilator support within 24 hours on two or more days, hypoxic ischemic encephalopathy, stillbirth after hospital admission or neonatal death).
Maternal and neonatal outcomes for women who underwent non medically indicated induction within each week of gestation were compared with those of women who reached that week and were expectantly managed (i.e., they did not undergo a non medically indicated induction). For example, women who underwent a non medically indicated induction at 38 weeks were compared with those who did not undergo a non medically indicated induction at 38 weeks and thus were expectantly managed from 38 week on. Women in the expectantly managed group could go on to go into labor or to develop an indication for delivery. Women who developed an indication for induction and were delivered while in the expectant management group remained in the expectant management group. Multivariable regression was used to adjust for hospital, maternal age, race/ethnicity, body mass index, cigarette use and insurance status. Odds ratios, adjusted means and their 95% confidence intervals are presented. All tests were two-tailed and P < .05 was used to define statistical significance. No imputation for missing data was performed. Analyses were performed using SAS software (SAS Institute, Cary, NC).
RESULTS
Data were collected from 115,502 women, of whom 31,169 women met our inclusion criteria. The majority of eligible women were in their twenties, were non-Hispanic white, and were non-smokers. Most women had a BMI over 25 kg/m2. Women undergoing non medically indicated induction were more likely to have private insurance, be of older maternal age, and obese. (Table 1)
Table 1.
N | 38 weeks | 39 weeks | 40 weeks | |||
---|---|---|---|---|---|---|
Non Medically Indicated Induction |
Expectant Management |
Non Medically Indicated Induction |
Expectant Management |
Non Medically Indicated Induction |
Expectant Management |
|
210 | 28468 | 815 | 23212 | 1676 | 14086 | |
Maternal age, years < 20 |
25 (11.9) | 5547 (19.5) | 108 (13.3) | 4421 (19.1) | 208 (12.4) | 2618 (18.6) |
20–24.9 | 67 (31.9) | 7607 (26.7) | 262 (32.2) | 6164 (26.6) | 403 (24.1) | 3674 (26.1) |
25–29.9 | 72 (34.3) | 7144 (25.1) | 254 (31.2) | 5850 (25.2) | 499 (29.8) | 3500 (24.9) |
30–34.9 | 29 (13.8) | 5914 (20.8) | 132 (16.2) | 4901 (21.1) | 387 (23.1) | 3079 (21.9) |
> 35 | 17 (8.1) | 2256 (7.9) | 59 (7.2) | 1876 (8.1) | 179 (10.7) | 1215 (8.6) |
Race/ Ethnicity Non-Hispanic white |
77 (36.7) | 13518 (47.5) | 516 (63.3) | 11203 (48.3) | 1018 (60.7) | 7081 (50.3) |
Non-Hispanic black | 80 (38.1) | 5785 (20.3) | 133 (16.3) | 4669 (20.1) | 269 (16.1) | 2782 (19.8) |
Non-Hispanic Asian | 9 (4.3) | 1895 (6.7) | 53 (6.5) | 1505 (6.5) | 100 (6.0) | 798 (5.7) |
Hispanic | 35 (16.7) | 5461 (19.2) | 80 (9.8) | 4363 (18.8) | 219 (13.1) | 2565 (18.2) |
Other | 9 (4.3) | 1809 (6.4) | 33 (4.1) | 1472 (6.3) | 70 (4.2) | 860 (6.1) |
Body mass index, kg/m2 <25 |
38 (18.1) | 3962 (14.1) | 128 (15.8) | 3022 (13.2) | 167 (10.0) | 1620 (11.7) |
25–29.9 | 65 (31.0) | 11552 (41.2) | 302 (37.3) | 9512 (41.6) | 632 (37.9) | 5692 (41.0) |
30–34.9 | 57 (27.1) | 7680 (27.4) | 231 (28.5) | 6294 (27.5) | 507 (30.4) | 3966 (28.6) |
35–39.9 | 30 (14.3) | 3080 (11.0) | 102 (12.6) | 2545 (11.1) | 202 (12.1) | 1635 (11.8) |
>=40 | 20 (9.5) | 1772 (6.3) | 47 (5.8) | 1501 (6.6) | 159 (9.5) | 979 (7.1) |
Smoking | 14 (6.7) | 2178 (7.7) | 53 (6.5) | 1803 (7.8) | 143 (8.5) | 1116 (7.9) |
Private insurance | 112 (53.3) | 15540 (55.1) | 580 (71.3) | 12724 (55.3) | 1160 (69.5) | 7726 (55.4) |
The distributions of maternal age, race/ethnicity and body mass index were significantly different between non medically indicated induction and expectant groups at 38, 39 and 40 weeks. Insurance status was significantly different at 39 and 40 weeks only.
Neonatal complications were either less frequent or not different in association with non medically indicated induction (Tables 2–4). In particular, NICU admission (OR 0.66, 95%CI 0.47–0.93) and the respiratory composite (OR 0.62, 95% CI 0.41–0.94) were lower among women who underwent non medically indicated induction at 39 and at 40 weeks, respectively.
Table 2.
Non Medically Indicated Induction N (%) |
Expectant Management N (%) |
OR | 95%CI | |
---|---|---|---|---|
Neonatal outcomes: | ||||
Neonatal intensive care unit admission | 12 (5.7) | 2201 (7.7) | 1.17 | 0.63–2.20 |
Respiratory composite | 3 (1.4) | 574 (2.0) | 1.62 | 0.48–5.49 |
Hyperbilirubinemia requiring treatment | 9 (4.3) | 1288 (4.5) | 1.09 | 0.53–2.24 |
Neonatal composite | 0 (0.0) | 220 (0.8) | - | - |
Maternal Outcomes: | ||||
Postpartum hemorrhage | 0 (0.0) | 519 (1.9) | - | - |
Third and fourth degree lacerations | 8 (3.8) | 1710 (6.0) | 0.54 | 0.26–1.13 |
Peripartum infection | 5 (2.4) | 3009 (10.6) | 0.39 | 0.16–0.98 |
Mode of delivery | ||||
Spontaneous vaginal | 124 (59.1) | 19246 (67.6) | ||
Operative vaginal | 15 (7.1) | 2797 (9.8) | 0.88 | 0.50–1.55 |
Cesarean | 71 (33.8) | 6425 (22.6) | 1.50 | 1.08 –2.08 |
Non Medically Indicated Induction | Expectant Management | |||
Median (interquartile range) |
Adjusted mean (95%CI) |
Median (interquartile range) |
Adjusted mean (95%CI) |
|
Time from labor and delivery admission to delivery in hours | 16 (14–20) | 17.85 (16.67–19.03)† | 11 (7–16) | 13.93 (13.70–14.16) |
Time from delivery to discharge days | 2 (2–3) | 2.81 (2.51–3.11) | 2 (2–3) | 2.70 (2.64–2.75) |
Adjusted for maternal age, race/ethnicity, body mass index, cigarette use, insurance status and hospital
P<0.05 in the generalized linear model
Table 4.
Non Medically Indicated Induction N (%) |
Expectant Management N (%) |
OR | 95%CI | |
---|---|---|---|---|
Neonatal outcomes: | ||||
Neonatal intensive care unit admission | 126 (7.5) | 1172 (8.3) | 0.87 | 0.71–1.06 |
Respiratory composite | 26 (1.6) | 321 (2.3) | 0.62 | 0.41–0.94 |
Hyperbilirubinemia requiring treatment | 95 (5.7) | 578 (4.1) | 1.02 | 0.80–1.30 |
Neonatal composite | 8 (0.5) | 125 (0.9) | 0.55 | 0.26–1.15 |
Maternal Outcomes: | ||||
Postpartum hemorrhage | 35 (2.2) | 297 (2.2) | 1.09 | 0.75–1.60 |
Third and fourth degree lacerations | 99 (5.9) | 938 (6.7) | 0.82 | 0.66–1.03 |
Peripartum infection | 143 (8.5) | 1724 (12.2) | 0.87 | 0.72–1.05 |
Mode of delivery | ||||
Spontaneous vaginal | 930 (55.5) | 8861 (62.9) | ||
Operative vaginal | 176 (10.5) | 1453 (10.3) | 1.05 | 0.88–1.26 |
Cesarean | 570 (34.0) | 3772 (26.8) | 1.30 | 1.15–1.46 |
Non Medically Indicated Induction | Expectant Management | |||
Median (interquartile range) |
Adjusted mean (95%CI) |
Median (interquartile range) |
Adjusted mean (95%CI) |
|
Time from labor and delivery admission to delivery in hours | 17 (12–22) | 18.86 (18.36–19.36)† | 12 (8–18) | 15.28 (14.96–15.60) |
Time from delivery to discharge days | 2 (2–3) | 2.70 (2.59–2.81) | 2 (2–3) | 2.70 (2.63–2.77) |
Adjusted for maternal age, race/ethnicity, body mass index, cigarette use, insurance status and hospital
P<0.05 in the generalized linear model
Peripartum infections were less frequent in association with non medically indicated induction at 38 and 39 weeks of gestation. In addition, those women undergoing non medically indicated induction at 39 weeks were less likely to have a third and fourth degree laceration. Non medically indicated induction was associated with a significantly higher frequency of cesarean delivery at 38 and 40 weeks with an odds ratio of 1.50 (95% CI 1.08–2.08) and 1.30 (95% CI 1.15–1.46), respectively, but was not associated with an increased frequency of cesarean at 39 weeks of gestation. Admission-to-delivery time was longer for women undergoing non medically indicated induction by approximately 3 to 4 hours, but delivery to discharge time was no different between the groups.
Table 5 shows the reasons for delivery in the expectantly managed group. Spontaneous labor was the majority of cases with reaching post dates (≥41 0/7 weeks), preeclampsia, oligohydramnios and non reassuring fetal status or IUGR being the most common reasons for delivery.
Table 5.
Expectantly managed at 38 weeks |
Expectantly managed at 39 weeks |
Expectantly managed at 40 weeks |
|
---|---|---|---|
n=28,468 | N=23,212 | 14,086 | |
Spontaneous labor and/or premature rupture of membranes | 22,072 (77.5) | 17,619 (75.9) | 9709 (68.9) |
Reasons for indicated delivery | |||
Patient reached postterm (≥41 0/7 weeks) | 2602 (9.1) | 2602 (11.2) | 2602 (18.5) |
Preeclampsia/gestational hypertension | 1530 (5.4) | 1120 (4.8) | 519 (3.7) |
Oligohydramnios | 1075 (3.8) | 938 (4.0) | 701 (5.0) |
Non-reassuring fetal status or intrauterine growth restriction | 811 (2.8) | 621 (2.7) | 371 (2.6) |
Macrosomnia | 105 (0.4) | 105 (0.5) | 55 (0.4) |
Cholestasis | 48 (0.2) | 24 (0.1) | 5 (0.0) |
Prior stillbirth | 1 (0.0) | 0 (0.0) | 0 (0.0) |
Infection | 7 (0.0) | 5 (0.0) | 2 (0.0) |
Injury/trauma | 10 (0.0) | 7 (0.0) | 3 (0.0) |
Other maternal medical condition (non-obstetrical) | 110 (0.4) | 77 (0.3) | 28 (0.2) |
Elective | 97 (0.3) | 94 (0.4) | 91 (0.6) |
COMMENT
Among our cohort of low-risk nulliparous women, those having non medically indicated induction were less likely to have several maternal and neonatal complications compared with those who were expectantly managed. In addition, there appeared to be no difference in the chance of cesarean when non medically indicated induction was performed at 39 weeks, although the chance of cesarean delivery was statistically higher when the non medically indicated induction was performed at either 38 or 40 weeks. The differences in maternal outcomes are clinically significantly different as well as statistically significant, for example a difference of 2.4% to10.6% for maternal infection at 38 weeks and 5.8% to11.1% for maternal infection at 39 weeks.
Our data help contribute to the understanding of the consequences related to non medically indicated induction in nulliparous women. Prior studies that have documented an increase in cesarean with labor induction largely have compared women undergoing labor induction with those in spontaneous labor. Yet, when women undergoing labor induction have been compared with women undergoing the actual clinical alternative – that is, expectant management – that increase has not been documented, even for women with an unfavorable cervix .11–13 Our results support this finding for women at 39 weeks of gestation but not at 38 and 40 weeks. Studies have also suggested perinatal benefit from labor induction with regard to meconium aspiration syndrome and perinatal mortality, as well as improvement in outcomes when induction was done for hypertension/preeclampsia 14 15 16 Our work support and extend the evidence for perinatal benefit with regard to respiratory morbidity and NICU admission.
This study did not examine outcomes before 38 weeks because there were so few examples of non-medically indicated induction before this time. Furthermore, previous studies have examined neonatal outcomes 17, 18 and demonstrated that perinatal outcomes are worse prior to 39 weeks. Nothing in this study would call into question the current recommendations to avoid non medically indicated induction deliveries before 39 weeks. We did not examine stillbirths because a live fetus on arrival was part of the entry criteria for the study and thus we did not have adequate data to study stillbirths. The lack of information about stillbirths would make expectant management seem to have fewer risks than it does in reality. We did not account for Bishop score because it was not collected in the parent study for women undergoing expectant management. The lack of Bishop score data could bias the study towards making non-medically indicated inductions seem more advantageous as this group may have had more women with favorable cervixes than the expectant management group.
While administrative data have the advantage of capturing a large number of hospitals and subjects for analysis, it has the disadvantage of lacking sensitivity and specificity when it comes to accurately determining non medically indicated induction. 8, 9 The quality of the data used in our study is high in that data were abstracted by trained personnel and data entry was checked by edits and audits. In the context of observational studies, cohort analyses using high quality data will provide the best possible answer regarding the consequences of non medically indicated induction. Nevertheless, this study, as well as other observational studies before it, cannot eliminate the possibility of bias and unmeasured confounding. The suggestion, however, that non medically indicated induction may not be associated with worse perinatal outcomes and may improve maternal outcomes underscore the need for a randomized trial.19
Table 3.
Non Medically Indicated Induction N (%) |
Expectant Management N (%) |
OR | 95%CI | |
---|---|---|---|---|
Neonatal outcomes: | ||||
Neonatal intensive care unit admission | 41 (5.0) | 1809 (7.8) | 0.66 | 0.47–0.93 |
Respiratory composite | 14 (1.7) | 482 (2.1) | 0.69 | 0.39–1.20 |
Hyperbilirubinemia requiring treatment | 47 (5.8) | 1004 (4.3) | 1.01 | 0.73–1.40 |
Neonatal composite | 7 (0.9) | 178 (0.8) | 1.51 | 0.68–3.35 |
Maternal Outcomes: | ||||
Postpartum hemorrhage | 9 (1.2) | 442 (2.0) | 0.79 | 0.39–1.58 |
Third and fourth degree lacerations | 35 (4.3) | 1451 (6.3) | 0.60 | 0.42–0.86 |
Peripartum infection | 47 (5.8) | 2576 (11.1) | 0.66 | 0.49–0.90 |
Mode of delivery | ||||
Spontaneous vaginal | 511 (62.7) | 15366 (66.2) | ||
Operative vaginal | 94 (11.5) | 2314 (10.0) | 1.10 | 0.87–1.40 |
Cesarean | 210 (25.8) | 5532 (23.8) | 1.13 | 0.94–1.36 |
Non Medically Indicated Induction | Expectant Management | |||
Median (interquartile range) |
Adjusted mean (95%CI) |
Median (interquartile range) |
Adjusted mean (95%CI) |
|
Time from labor and delivery admission to delivery in hours | 14 (10–19) | 17.28 (16.66–17.91)† | 11 (7–17) | 14.20 (13.95–14.45) |
Time from delivery to discharge days | 2 (2–3) | 2.78 (2.62–2.94) | 2 (2–3) | 2.71 (2.64–2.77) |
Adjusted for maternal age, race/ethnicity, body mass index, cigarette use, insurance status and hospital
P<0.05 in the generalized linear model
Acknowledgments
The project described was supported by grants from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) [HD21410, HD27869, HD27915, HD27917, HD34116, HD34208, HD36801, HD40500, HD40512, HD40544, HD40545, HD40560, HD40485, HD53097, HD53118] and the National Center for Research Resources [UL1 RR024989; 5UL1 RR025764]. Comments and views of the authors do not necessarily represent the official views of the NICHD.
The authors thank the following subcommittee members who participated in protocol development and coordination between clinical research centers (Cynthia Milluzzi, R.N. and Joan Moss, R.N.C., M.S.N.), protocol/data management and statistical analysis (Elizabeth Thom, Ph.D. and Madeline M. Rice, Ph.D.), and protocol development and oversight (Catherine Y. Spong, M.D. and Brian M. Mercer, M.D.).
Appendix
In addition to the authors, other members of the Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal–Fetal Medicine Units Network are as follows:
Case Western Reserve University-MetroHealth Medical Center, Cleveland, OH – B. Mercer, C. Milluzzi, W. Dalton, T. Dotson, P. McDonald, C. Brezine, A. McGrail
Northwestern University, Chicago, IL – G. Mallett, M. Ramos-Brinson, A. Roy, L. Stein, P. Campbell, C. Collins, N. Jackson, M. Dinsmoor (NorthShore University HealthSystem), J. Senka (NorthShore University HealthSystem), K. Paychek (NorthShore University HealthSystem), A. Peaceman
Columbia University, New York, NY – M. Talucci, M. Zylfijaj, Z. Reid (Drexel U.), R. Leed (Drexel U.), J. Benson (Christiana H.), S. Forester (Christiana H.), C. Kitto (Christiana H.), S. Davis (St. Peter's UH.), M. Falk (St. Peter's UH.), C. Perez (St. Peter's UH.)
University of Utah Health Sciences Center, Salt Lake City, UT – K. Hill, A. Sowles, J. Postma (LDS Hospital), S. Alexander (LDS Hospital), G. Andersen (LDS Hospital), V. Scott (McKay-Dee), V. Morby (McKay-Dee), K. Jolley (UVRMC), J. Miller (UVRMC), B. Berg (UVRMC)
University of North Carolina at Chapel Hill, Chapel Hill, NC – J. Thorp, K. Dorman, J. Mitchell, E. Kaluta, K. Clark (WakeMed), K. Spicer (WakeMed), S. Timlin (Rex), K. Wilson (Rex)
University of Texas Southwestern Medical Center, Dallas, TX – L. Moseley, M. Santillan, J. Price, K. Buentipo, V. Bludau, T. Thomas, L. Fay, C. Melton, J. Kingsbery, R. Benezue University of Pittsburgh, Pittsburgh, PA – H. Simhan, M. Bickus, D. Fischer, T. Kamon (deceased), D. DeAngelis
The Ohio State University, Columbus, OH – P. Shubert (St. Ann’s), C. Latimer, L. Guzzo (St. Ann's), F. Johnson, L. Gerwig (St. Ann's), S. Fyffe, D. Loux (St. Ann's), S. Frantz, D. Cline, S. Wylie, J. Iams
University of Alabama at Birmingham, Birmingham, AL – M. Wallace, A. Northen, J. Grant, C. Colquitt
University of Texas Medical Branch, Galveston, TX – J. Moss, A. Salazar, A. Acosta, G. Hankins
Wayne State University, Detroit, MI – N. Hauff, L. Palmer, P. Lockhart, D. Driscoll, L. Wynn, C. Sudz, D. Dengate, C. Girard, S. Field
Brown University, Providence, RI – P. Breault, F. Smith, N. Annunziata, D. Allard, J. Silva, M. Gamage, J. Hunt, J. Tillinghast, N. Corcoran, M. Jimenez
The University of Texas Health Science Center at Houston-Children’s Memorial Hermann Hospital, Houston, TX – F. Ortiz, P. Givens, B. Rech, C. Moran, M. Hutchinson, Z. Spears, C. Carreno, B. Heaps, G. Zamora
Oregon Health & Science University, Portland, OR – J. Seguin, M. Rincon, J. Snyder, C. Farrar, E. Lairson, C. Bonino, W. Smith (Kaiser Permanente), K. Beach (Kaiser Permanente), S. Van Dyke (Kaiser Permanente), S. Butcher (Kaiser Permanente)
The George Washington University Biostatistics Center, Washington, DC – E. Thom, M. Rice, P. McGee, V. Momirova, R. Palugod, B. Reamer, M. Larsen, T. Williams
Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD – C. Spong, S. Tolivaisa
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
The authors report no conflicts of interest
This study was presented at the 34nd Annual meeting of the Society for Maternal-Fetal Medicine in New Orleans, LA on February 7, 2014.
References
- 1.ACOG. ACOG Practice Bulletin No. 107: Induction of Labor. Obstetrics & Gynecology. 2009;114:386–397. doi: 10.1097/AOG.0b013e3181b48ef5. [DOI] [PubMed] [Google Scholar]
- 2.Luthy DA, Malmgren JA, Zingheim RW, Leininger CJ. Physician contribution to a cesarean delivery risk model. American Journal of Obstetrics & Gynecology. 2003;188:1579–1585. doi: 10.1067/mob.2003.389. [DOI] [PubMed] [Google Scholar]
- 3.Vrouenraets FP, Roumen FJ, Dehing CJ, Van Den Akker ES, Aarts MJ, Scheve EJ. Bishop score and risk of cesarean delivery after induction of labor in nulliparous women. Obstet Gynecol. 2005;105:690–697. doi: 10.1097/01.AOG.0000152338.76759.38. [DOI] [PubMed] [Google Scholar]
- 4.Vahratian A, Zhang J, Troendle JF, Sciscione AC, Hoffman MK. Labor progression and risk of cesarean delivery in electively induced nulliparas. Obstet Gynecol. 2005;105:698–704. doi: 10.1097/01.AOG.0000157436.68847.3b. [DOI] [PubMed] [Google Scholar]
- 5.Caughey AB, Nicholson JM, Cheng YW, Lyell DJ, Washington AE. Induction of labor and cesarean delivery by gestational age. Am J Obstet Gynecol. 2006;195:700–705. doi: 10.1016/j.ajog.2006.07.003. [DOI] [PubMed] [Google Scholar]
- 6.Darney BG, Snowden JM, Cheng YW, et al. Elective induction of labor at term compared with expectant management: maternal and neonatal outcomes. Obstet Gynecol. 2013;122:761–769. doi: 10.1097/AOG.0b013e3182a6a4d0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Glantz JC. Term labor induction compared with expectant management. Obstet Gynecol. 2010;115:70–76. doi: 10.1097/AOG.0b013e3181c4ef96. [DOI] [PubMed] [Google Scholar]
- 8.Yasmeen S, Romano PS, Schembri ME, Keyzer JM, Gilbert WM. Accuracy of obstetric diagnoses and procedures in hospital discharge data. Am J Obstet Gynecol. 2006;194:992–1001. doi: 10.1016/j.ajog.2005.08.058. [DOI] [PubMed] [Google Scholar]
- 9.Bailit J. Rates of labor induction without medical indication are overestimated when derived from birth certificate data. American Journal of Obstetrics and Gynecology. 2010;203:269, e1–e69, e3. doi: 10.1016/j.ajog.2010.07.004. [DOI] [PubMed] [Google Scholar]
- 10.Bailit JL, Grobman WA, Rice MM, et al. Risk-adjusted models for adverse obstetric outcomes and variation in risk-adjusted outcomes across hospitals. American Journal of Obstetrics and Gynecology. 2013;209:446, e1–e46, e30. doi: 10.1016/j.ajog.2013.07.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Caughey AB. Elective induction of labour is associated with decreased perinatal mortality and lower odds of caesarean section at 40 and 41 weeks. Evid Based Med. 2013;18:117–118. doi: 10.1136/ebmed-2012-100862. [DOI] [PubMed] [Google Scholar]
- 12.Osmundson S, Ou-Yang RJ, Grobman WA. Elective induction compared with expectant management in nulliparous women with an unfavorable cervix. Obstet Gynecol. 2011;117:583–587. doi: 10.1097/AOG.0b013e31820caf12. [DOI] [PubMed] [Google Scholar]
- 13.Osmundson SS, Ou-Yang RJ, Grobman WA. Elective induction compared with expectant management in nulliparous women with a favorable cervix. Obstet Gynecol. 2010;116:601–605. doi: 10.1097/AOG.0b013e3181eb6e9b. [DOI] [PubMed] [Google Scholar]
- 14.Cheng YW, Kaimal AJ, Snowden JM, Nicholson JM, Caughey AB. Induction of labor compared to expectant management in low-risk women and associated perinatal outcomes. Am J Obstet Gynecol. 2012;207:502, e1–e8. doi: 10.1016/j.ajog.2012.09.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Stock SJ, Ferguson E, Duffy A, Ford I, Chalmers J, Norman JE. Outcomes of elective induction of labour compared with expectant management: population based study. BMJ. 2012;344:e2838. doi: 10.1136/bmj.e2838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Koopmans CM, Bijlenga D, Groen H, et al. Induction of labour versus expectant monitoring for gestational hypertension or mild pre-eclampsia after 36 weeks' gestation (HYPITAT): a multicentre, open-label randomised controlled trial. The Lancet. 2009;374:979–988. doi: 10.1016/S0140-6736(09)60736-4. [DOI] [PubMed] [Google Scholar]
- 17.Tita AT, Landon MB, Spong CY, et al. Timing of elective repeat cesarean delivery at term and neonatal outcomes. New England Journal of Medicine. 2009;360:111–120. doi: 10.1056/NEJMoa0803267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Hibbard JU, Wilkins I, Sun L, et al. Respiratory Morbidity in Late Preterm Births. JAMA: The Journal of the American Medical Association. 2010;304:419–425. doi: 10.1001/jama.2010.1015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Caughey AB. Perinatal outcomes related to induction of labor: a call for randomized trials. American journal of obstetrics and gynecology. 2013;209:168. doi: 10.1016/j.ajog.2013.07.011. [DOI] [PubMed] [Google Scholar]