Literature DB >> 30692611

Elevated umbilical cord arterial lactate at birth and electronic fetal monitoring characteristics on admission and in the active phase.

Joshua I Rosenbloom1, Molly J Stout2, Methodius G Tuuli2, Julia D López2, George A Macones2, Alison G Cahill2.   

Abstract

OBJECTIVE: To investigate the association between elevated umbilical arterial lactate at birth and electronic fetal monitoring (EFM) characteristics at admission and in the beginning of the active phase of labor. STUDY
DESIGN: Nested case-control study within a prospective cohort of laboring patients at term who achieved active labor. Neonates with umbilical arterial lactate ≥ 4 mmol/L (cases, n = 119), were matched 1:1 to controls with lactate < 4 mmol/L. EFM patterns were compared with multivariable logistic regression. RESULT: There were no differences in EFM parameters in the first 60 minutes after admission. At the beginning of active labor, 13.5% of cases and 26.1% of controls had always category I tracings, adjusted odds ratio 0.48, 95% confidence interval 0.24-0.94). Cases were less likely to have an always category I tracing from admission into the active phase.
CONCLUSION: Elevated umbilical arterial lactate at birth is associated with distinct EFM patterns early in the labor course.

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Year:  2019        PMID: 30692611      PMCID: PMC6427827          DOI: 10.1038/s41372-019-0324-y

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   2.521


Introduction

Despite unclear efficacy, electronic fetal monitoring (EFM) is used clinically to establish fetal wellbeing and to predict fetal oxygenation and acid-base status with the ultimate goal of preventing neonatal morbidity [1]. Given its widespread adoption, it is critical to optimize use of EFM despite its known limitations. A large prospective cohort study on the association between EFM parameters in the 120 minutes prior to delivery and acidemia recently demonstrated that total deceleration area was most predictive for neonatal acidemia [2]. However, moderate variability alone was not predictive of normal neonatal acid-base status [2]. Other studies on EFM and neonatal acid-base status have similarly focused on the period just before delivery [3-5]. However, the association between acidemia at birth and EFM parameters earlier in the labor course is not well defined. Since the final acid-base status of the neonate may be based on the entire labor course and not just the minutes preceding delivery, it is important to understand how EFM parameters earlier in labor may be associated with neonatal outcomes [6]. Therefore, we investigated the association between elevated umbilical cord arterial lactate at birth and EFM characteristics at admission and in the beginning of the active phase of labor. We hypothesized that there would be significant associations between elevated lactate at birth and EFM parameters at admission and at the beginning of the active phase.

Materials and Methods

This is a nested case-control study within a prospective cohort study of 8,580 consecutive term, vertex, non-anomalous singleton pregnancies admitted for labor and delivery[2]. Neonates with <10 minutes of EFM in the 30 minutes before delivery, who were <37 weeks’ gestational age, who did not achieve the active phase of labor (defined as 6 cm dilation) [1], or who had a postnatal anomaly diagnosis were excluded. At our institution EFM is used universally during labor with either external or internal monitoring as clinically appropriate. Umbilical artery cord gas values including pH and lactate are obtained routinely. The DXC-800 Automated Chemistry Analyser (Beckman Coulter) was used for lactate assays. The coefficient of variation of the lactate assay from regular quality control testing in our laboratory is approximately 2.9%. Cases were defined as the neonates with the highest umbilical cord arterial lactate ≥ 4 mmol/L ((n=119), h, were selected from the cohort and temporally matched 1:1 based on mode of delivery with controls (n=119), defined as neonates with umbilical cord arterial lactate <4mmol/L. In case of more than one possible matched control, the control was randomly selected from the potential controls. The cutoff of ≥ 4 mmol/L was chosen based on our prior work which showed that lactate at this level is most discriminatory for neonatal morbidity [7]. Although many clinicians use umbilical cord arterial pH as an assessment of neonatal acid-base status, cord blood arterial or venous lactate have been shown to be superior to pH or base deficit in predicting short-term neonatal morbidity [7, 8]. EFM patterns were extracted by trained obstetric research nurses who were blinded to clinical data including outcomes, using the National Institute of Child Health and Human Development system for two distinct periods: in the first 60 minutes after admission and in the first 60 minutes after achieving the active phase of labor. If there was overlap between these two time periods, the EFM data was analyzed at the latest phase for that patient. Heart rate patterns were characterized by fetal heart rate baseline, variability (absent, minimal, moderate, marked), presence and number of accelerations, and presence, number, and type of decelerations (variable, early, late, prolonged). Within each of the two 60-minute periods, we defined “always” (e.g. “always moderate variability”) as present for all 60 minutes of that period We also examined “severe” decelerations, defined as decelerations with nadir below 60 beats per minute [3]. Finally, in accordance with previous studies we examined the total area of decelerations [2, 3]. EFM patterns were interpreted in 10-minute epochs by trained obstetric research nurses with high interobserver and intraobserver reliability. The readers underwent blind rereading of 30 EFM tracings after every 500 patients over the entire study period, with a range of Spearman correlation coefficients of 0.83–0.95, mean differences in deceleration area of 108 ± 248 (intra-observer) and 154 ± 424 (inter-observer). These nurses were blinded to all outcome and clinical data as well as group assignment. Maternal and neonatal demographic data included obstetric and gynecologic history, use and types of labor augmentation, type of labor, delivery mode, complications, regional anesthesia, and neonatal birthweight. Neonatal outcomes were ascertained from the neonatal medical record as diagnosed by the attending neonatologist. Neonatal outcomes included death, requirement for therapeutic hypothermia, mechanical ventilation, respiratory distress, meconium aspiration syndrome, suspected sepsis, hypoxic-ischemic encephalopathy, or seizures. Composite neonatal morbidity was defined as having at least one of those conditions, and composite neurological morbidity included hypoxic-ischemic encephalopathy, requirement for therapeutic hypothermia, or seizures. Baseline characteristics of women who delivered infants with and without elevated lactate were compared. Continuous variables were tested for normality with the Shapiro-Francia test. The Student t test and Mann-Whitney U test were used for continuous variables; χ2 and Fisher exact tests were used for dichotomous variables as appropriate. Crude odds ratios (cOR) and odds ratios and 95% confidence intervals (CI) adjusted for oxytocin use (aOR) were calculated for each of the EFM characteristics at admission and in the first 60 minutes of the active phase. To determine the association between elevated umbilical arterial lactate at delivery and change in EFM parameters between admission and the active phase, the proportion of fetuses with changes in EFM parameters was determined for each parameter. These changes were characterized as present on admission but no longer present in the active phase, present on admission and still present in the active phase, not present on admission and then present in the active phase, or neither present on admission nor in the active phase. A two-sided p-value of < 0.05 was considered statistically significant. There was no adjustment for multiple comparisons. Analyses were performed using SAS software (Version 9.2; SAS Institute Inc, Cary, NC). The study was conducted after approval from the Washington University School of Medicine Human Research Protection Office.

Results

Characteristics of the study participants are shown in Table 1. There were no significant differences between the cases and controls with the exception of maternal age which was higher in the group with elevated lactate (p<0.01), and oxytocin use which was more common in the controls (p=0.04). The median lactate (interquartile range) in the cases was 8.3 mmol/L (interquartile range [IQR] 7.2-9.6) and in the controls was 2.5 mmol/L (IQR 2.2-3.1). There were no differences among other characteristics including obesity, birthweight, or hypertensive disorders of pregnancy. Neonatal outcomes by group are shown in Table 2. Notably, neonates with umbilical cord arterial lactate ≥ 4 mmol/L were significantly more likely to have neurologic morbidity as well as more likely to have overall composite neonatal morbidity (49 (41.2% of cases) vs. 14 (11.8%) of controls, aOR for overall composite morbidity (95% CI) 4.94 (2.52, 9.68).
Table 1.

Clinical characteristics

Lactate ≥ 4 mmol/L (N= 119)Lactate < 4 mmol/L (N= 119)P[a]
Maternal age, yrs27.5 ± 7.324.9 ± 6.2<0.01
Maternal age ≥ 35, yrs21 (17.7)9 (7.6)0.02
Maternal race [b]
 African American75 (63.0)78 (65.5)
 Caucasian31 (26.1)25 (21.0)0.79
 Latina7 (5.9)7 (5.9)
 Other5 (4.2)7 (5.9)
Body mass index (BMI)34.2 ± 8.734.0 ± 7.60.89
Obese, BMI ≥ 30 kg/m276 (63.9)78 (65.6)0.79
Any gestational hypertension or preeclampsia23 (19.3)24 (20.2)0.87
Gestational diabetes5 (4.2)1 (0.8)0.21
Pregestational diabetes5 (4.2)2 (1.7)0.45
Intrapartum fever7 (5.9)6 (5.0)0.78
Nulliparous63 (52.9)63 (52.9)1.00
Labor type0.20
 Spontaneous36 (30.1)24 (20.2)
 Augmented29 (24.4)34 (28.6)
 Induction54 (45.4)61 (51.3)
Regional anesthesia [c]108 (90.8)113 (95.0)0.21
Prostaglandin25 (21.0)26 (21.9)0.87
Foley bulb19 (16.0)19 (16.0)1.00
Oxytocin75 (63.0)90 (75.6)0.04
Time in active labor (hours)7.3 (3.1, 11.1)5.7 (2.5, 9.4)0.09
Gestational age at delivery, wks39.2 ± 1.2339.1 ± 1.180.87
Birthweight, g3276 ± 5133381 ± 5020.11
Birthweight > 4000, g9 (7.6)12 (10.1)0.49
Mode of delivery----
 Vaginal delivery36 (30.3)36 (30.3)
 Operative vaginal10 (8.4)10 (8.4)
 Cesarean73 (61.3)73 (61.3)

χ2, Fisher exact tests, or Student’s t test

missing=3

Regional anesthesia considered to be an epidural, spinal, or a combination of epidural and spinal anesthesia

Table 2:

Neonatal Outcomes

Lactate ≥ 4Lactate < 4cORaOR[c]
(n= 119)(n= 119)(95% CI)(95% CI)
Composite neonatal morbidity[a]49 (41.2)14 (11.8)5.25 (2.60, 11.03)4.94 (2.52, 9.68)
Composite neurologic morbidity[b]20 (16.8)0 (0.0)----
Neonatal death20----
Respiratory distress3544.61 (1.11, 22.38)5.62 (1.44, 21.84)
Mechanical ventilation1021.36 (0.24, 14.39)1.86 (0.32, 10.90)
Meconium aspiration syndrome420.48 (0.06, 5.96)0.50 (0.08, 3.07)
Suspected sepsis37120.36 (0.04, 1.94)0.37 (0.08, 1.90)
Hypoxic-ischemic encephalopathy140----
Therapeutic hypothermia180----
Seizures70----

cOR: crude odds ratio, aOR, adjusted odds ratio, CI confidence interval

N (%) for categorical outcomes

Includes death, therapeutic hypothermia, mechanical ventilation, respiratory distress, meconium aspiration syndrome, suspected sepsis, hypoxic-ischemic encephalopathy, seizures

Includes hypoxic-ischemic encephalopathy, therapeutic hypothermia, seizures

Adjusted for oxytocin

There were no differences in EFM parameters in the first 60 minutes of admission between cases and controls (Table 3). There were also no associations between elevated umbilical arterial lactate at delivery and deceleration patterns or total deceleration area.
Table 3.

Electronic fetal monitoring patterns in the first 60 minutes of admission

Lactate ≥ 4 mmol/L (N= 119)Lactate < 4 mmol/L (N= 119)cOR (95%CI)aOR[a] (95%CI)
EFM Parameters
Always Category I41 (34.5)53 (44.5)0.65 (0.37, 1.14)0.75 (0.43, 1.30)
Ever Category II45 (37.0)39 (32.8)1.20 (0.68, 2.13)1.12 (0.65, 1.93)
Ever Category III[b]--------
Baseline
Always tachycardic1 (0.8)0 (0.0)----
Ever tachycardic5 (4.2)4 (3.4)1.65 (0.26, 6.52)1.33 (0.35, 5.15)
Always bradycardic--------
Ever bradycardic2 (1.7)2 (1.7)1.00 (0.07, 14.01)1.04 (0.14, 7.60)
Variability
Always minimal1 (0.8)0 (0.0)----
Always moderate64 (53.8)75 (63.0)0.68 (0.39, 1.18)0.75 (0.44, 1.28)
Decelerations
Any severe decelerations3 (2.5)3 (2.5)1.00 (0.13, 7.62)0.98 (0.19. 5.06)
Any early decelerations--------
Any late decelerations8 (6.7)6 (6.7)1.36 (0.40, 4.90)1.26 (0.42, 3.81)
Any prolonged decelerations7 (5.9)6 (5.0)1.18 (0.33, 4.38)1.17 (0.38, 3.67)
Total deceleration area1676 (759, 4673)1555 (1044, 3629)----

EFM: electronic fetal monitoring, cOR: crude odds ratio, aOR, adjusted odds ratio, CI confidence interval

Median (p25, p75) for continuos outcomes, N (%) for categorical outcomes

Adjusted for oxytocin

No tracings were observed in either those with a lactate ≥ 4 mmol/L or a lactate < 4 mmol/L

However, there were significant differences in EFM parameters in cases and controls in the first 60 minutes of the active phase of labor (Table 4). In particular, cases were less likely to have always category I tracings (26.1% of controls and 13.5% of cases, aOR 0.48, 95% CI 0.24, 0.94). Cases were also less likely to have always moderate variability. Notably, there were no differences in deceleration patterns, and presence of late decelerations were similar in the two groups (21.0% in the controls and 18.5% in the cases, p=0.72).
Table 4.

Electronic fetal monitoring patterns in the first 60 minutes of the active phase

Lactate ≥ 4 mmol/L (N= 119)Lactate < 4 mmol/L (N= 119)cOR (95%CI)aOR (95%CI)[a]
EFM Parameters
Always Category I16 (13.5)31 (26.1)0.44 (0.21, 0.89)0.48 (0.24, 0.94)
Ever Category II52 (43.7)41 (34.5)1.50 (0.86, 2.63)1.86 (1.06, 3.26)
Ever Category III[b]--------
Baseline
Always tachycardic[b]--------
Ever tachycardic6 (5.0)1 (0.8)6.21 (0.73, 87.99)5.99 (0.70, 51.08)
Always bradycardic[b]--------
Ever bradycardic1 (0.8)1 (0.8)0.99 (0.02, 76.49)1.20 (0.07, 19.56)
Variability
Always minimal1 (0.8)0 (0.0)----
Always moderate38 (31.9)57 (47.9)0.51 (0.29, 0.89)0.57 (0.33, 0.98)
Decelerations
Any severe decelerations10 (8.4)5 (4.2)2.09 (0.63, 8.03)2.27 (0.74, 6.93)
Any early decelerations3 (2.5)1 (0.8)3.05 (0.24, 161.52)3.21 (0.32, 31.75)
Any late decelerations22 (18.5)25 (21.0)0.69 (0.35, 1.70)0.96 (0.50, 1.84)
Any prolonged decelerations12 (10.1)14 (11.8)0.84 (0.34, 2.06)0.88 (0.39, 2.01)
Total deceleration area5913 (3289, 12098)6446 (1716, 13371)----

EFM: electronic fetal monitoring, cOR: crude odds ratio, aOR, adjusted odds ratio, CI confidence interval

Median (p25, p75) for continuos outcomes, N (%) for categorical outcomes

Adjusted for oxytocin

No tracings were observed in either those with a lactate ≥ 4 mmol/L or a lactate < 4 mmol/L

When changes between EFM on admission and in the active phase were compared, fetuses with elevated lactate at delivery were less likely to have a category I tracing at both time points (aOR 0.36, 95% CI 0.14, 0.94) and less likely to have persistent moderate variability (aOR 0.46, 95% CI 0.22, 0.96). They were also more likely to have always category II tracings across both time points (aOR 2.37 (1.06, 5.31)). There were no significant changes in deceleration patterns (Table 5).
Table 5.

Electronic fetal monitoring pattern changes from admission to active phase

Lactate ≥ 4 mmol/L (N= 119)Lactate < 4 mmol/L (N= 119)P[a]cORaOR[b]
EFM Parameters
Always Category I0.05
No to no69 (58.0)52 (43.7)RefRef
No to yes9 (7.6)14 (11.8)0.48 (0.19, 1.21)0.54 (0.22, 1.35)
Yes to no34 (28.6)36 (30.3)0.71 (0.39, 1.28)0.82 (0.44, 1.52)
Yes to yes7 (5.9)17 (14.3)0.31 (0.12, 0.80)0.36 (0.14, 0.94)
Ever Category II0.30
No to no46 (38.7)52 (43.7)RefRef
No to yes29 (24.4)28 (23.5)1.12 (0.61, 2.25)1.42 (0.72, 2.80)
Yes to no21 (17.7)26 (21.9)0.91 (0.45, 1.84)0.76 (0.37, 1.58)
Yes to yes23 (19.3)13 (10.9)2.00 (0.91, 4.39)2.37 (1.06, 5.31)
Variability
Always moderate0.04
No to no40 (33.6)29 (24.4)RefRef
No to yes15 (12.6)15 (12.6)0.73 (0.31, 1.71)0.85 (0.35, 2.06)
Yes to no41 (34.5)33 (27.7)0.90 (0.46, 1.75)0.99 (0.50, 1.96)
Yes to yes23 (19.3)42 (35.3)0.40 (0.20, 0.79)0.46 (0.22, 0.96)
Decelerations
Any late decelerations0.68
No to no90 (75.6)90 (75.6)RefRef
No to yes12 (10.1)9 (7.6)1.33 (0.54, 3.32)1.55 (0.61, 3.92)
Yes to no3 (2.5)2 (1.7)1.50 (0.24, 9.19)1.25 (0.20, 7.92)
Yes to yes1 (0.8)0 (0.0)----
Any prolonged decelerations0.57
No to no101 (84.9)99 (83.2)RefRef
No to yes6 (5.0)10 (8.4)0.59 (0.21, 1.68)0.70 (0.24, 2.03)
Yes to no5 (4.2)4 (3.4)1.23 (0.32, 4.70)1.22 (0.31, 4.75)
Yes to yes--------

The parameters are categorized as present neither upon admission nor in the first 60 minutes of the active phase (“no to no”), not present on admission but present in the first 60 minutes of the active phase (“no to yes”), present on admission but no longer present in the first 60 minutes of the active phase (“yes to no”) or present at both time points (“yes to yes”)

EFM: electronic fetal monitoring, cOR: crude odds ratio, aOR, adjusted odds ratio, CI confidence interval

χ2 or Fisher exact tests

Adjusted for oxytocin

Discussion

In patients who entered active labor, we found no differences in EFM characteristics at admission to labor and delivery between fetuses with normal arterial lactate at birth and those with elevated lactate at delivery. However, in the first 60 minutes of the active phase, fetuses with elevated lactate at delivery were less likely to have moderate variability and category I tracings. Significantly, there were differences in the EFM characteristics at the two time points taken together: fetuses with elevated lactate at birth were less likely to have moderate variability and category I tracings both at admission and in the first 60 minutes of the active phase. In our previous work, we observed that in the last 120 minutes prior to delivery, deceleration area was most predictive of acidemia, and moderate variability alone was not protective against acidemia [2]. The findings in this study suggest that there is an evolution in EFM patterns over the labor course associated with abnormal acid-base status at birth. This difference suggests that at as the labor course progresses EFM parameters may have different associations with eventual neonatal outcome and thus differences in clinical meaning. Multiple randomized controlled trials specifically of EFM at admission to labor and delivery have demonstrated that universal EFM at admission does not improve neonatal outcomes and indeed increases cesarean delivery rates[9-11]. We found no differences in EFM parameters on admission between fetuses with and without elevated umbilical arterial lactate at birth, suggesting that in these fetuses admission EFM lacked clinical utility. However, our study only included patients who achieved active labor. Therefore, patients with abnormal admission EFM precipitating delivery in the latent phase were excluded. Although universal EFM on admission has not been shown to improve neonatal outcomes, the results of our study can only be extrapolated to patients who achieved the active phase. This finding does not hold true in the active phase, at which point there were significant differences between the two groups of fetuses. Strengths of our study included examining time periods remote from delivery. A recent editorial discussed the importance for obstetric providers to consider the entire EFM tracing and not just a short period of time proximal to delivery [6]. By examining EFM on admission and in the beginning of the active phase we were able to better contextualize delivery outcomes. An additional strength of our study is the rigorous approach to interpretation of EFM and the prospective nature of the data collection including robust clinical and demographic data. EFM patterns were analyzed by trained clinical obstetric research nurses trained in the NICHD criteria and blinded to outcome. They also underwent formal inter- and intraobserver reliability testing to reduce reduced inter- and intraobserver variability [3]. At the same time, the use of human, and not computerized, interpretation presented a more real-world scenario since in daily practice EFM is subject to human interpretation. Unlike previous studies, we were able to examine umbilical cord arterial lactate which has been shown previously to have a higher correlation with neonatal morbidity than pH, but is comparable to base deficit [7]. In the present study, there was a strong association between elevated umbilical artery lactate and neonatal morbidity, lending validity to the use of this marker as a surrogate. Finally, we used universal umbilical cord gas collection, which eliminates selection bias when selective cord gas assessment is performed based on the neonatal status at birth. That the study was restricted to patients with at least 60 minutes of EFM on admission and at the beginning of active labor may introduce bias as patients with clinically concerning EFM tracings may have been delivered before active labor or before 60 minutes of active labor, thus excluding them from the study. However, patients such as these were included in our recent cohort study of all laboring patients with at least 30 minutes of EFM data in the last 120 minutes prior to delivery [2]. This study was conducted among women who were at least 37 weeks gestation, potentially limiting extrapolation to the preterm population. Finally, our study is further limited in that we do not have data on long-term neonatal outcomes. Despite these potential limitations, the widespread adoption of EFM deserves evidence-based attention. EFM has never been shown in randomized studies to have a positive impact on significant neonatal outcomes [12]. However, it seems unlikely that obstetric providers will abandon this monitoring modality, and therefore it is essential to maximize its utility to improve neonatal outcomes and to reduce unnecessary interventions including cesarean delivery [12, 13]. Our results suggest that changes in EFM patterns at transition from early labor into active labor may have clinical significance at delivery. Still, future work is needed to fully optimize the use of EFM in modern obstetrics.
  13 in total

1.  Admission cardiotocography: a randomised controlled trial.

Authors:  Lawrence Impey; Margaret Reynolds; Kathryn MacQuillan; Simon Gates; John Murphy; Orla Sheil
Journal:  Lancet       Date:  2003-02-08       Impact factor: 79.321

2.  A prospective cohort study of fetal heart rate monitoring: deceleration area is predictive of fetal acidemia.

Authors:  Alison G Cahill; Methodius G Tuuli; Molly J Stout; Julia D López; George A Macones
Journal:  Am J Obstet Gynecol       Date:  2018-02-01       Impact factor: 8.661

3.  ACOG Practice Bulletin No. 106: Intrapartum fetal heart rate monitoring: nomenclature, interpretation, and general management principles.

Authors: 
Journal:  Obstet Gynecol       Date:  2009-07       Impact factor: 7.661

4.  Decelerations, tachycardia, and decreased variability: have we overlooked the significance of longitudinal fetal heart rate changes for detecting intrapartum fetal hypoxia?

Authors:  Anthony M Vintzileos; John C Smulian
Journal:  Am J Obstet Gynecol       Date:  2016-09       Impact factor: 8.661

5.  Randomised controlled trial of cardiotocography versus Doppler auscultation of fetal heart at admission in labour in low risk obstetric population.

Authors:  G Mires; F Williams; P Howie
Journal:  BMJ       Date:  2001-06-16

6.  Umbilical Cord Venous Lactate for Predicting Arterial Lactic Acidemia and Neonatal Morbidity at Term.

Authors:  Methodius G Tuuli; Molly J Stout; George A Macones; Alison G Cahill
Journal:  Obstet Gynecol       Date:  2016-04       Impact factor: 7.661

7.  Intrapartum electronic fetal heart rate monitoring and the identification of metabolic acidosis and hypoxic-ischemic encephalopathy.

Authors:  Joel D Larma; Anadir M Silva; Cynthia J Holcroft; Richard E Thompson; Pamela K Donohue; Ernest M Graham
Journal:  Am J Obstet Gynecol       Date:  2007-09       Impact factor: 8.661

8.  Umbilical cord arterial lactate compared with pH for predicting neonatal morbidity at term.

Authors:  Methodius G Tuuli; Molly J Stout; Anthony Shanks; Anthony O Odibo; George A Macones; Alison G Cahill
Journal:  Obstet Gynecol       Date:  2014-10       Impact factor: 7.661

Review 9.  Cardiotocography versus intermittent auscultation of fetal heart on admission to labour ward for assessment of fetal wellbeing.

Authors:  Declan Devane; Joan G Lalor; Sean Daly; William McGuire; Anna Cuthbert; Valerie Smith
Journal:  Cochrane Database Syst Rev       Date:  2017-01-26

10.  Preventing the first cesarean delivery: summary of a joint Eunice Kennedy Shriver National Institute of Child Health and Human Development, Society for Maternal-Fetal Medicine, and American College of Obstetricians and Gynecologists Workshop.

Authors:  Catherine Y Spong; Vincenzo Berghella; Katharine D Wenstrom; Brian M Mercer; George R Saade
Journal:  Obstet Gynecol       Date:  2012-11       Impact factor: 7.661

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