Original Article Monitoring Uterine Activity during Labor: Clinician Interpretation of Electrohysterography versus Intrauterine Pressure Catheter and Tocodynamometry Tammy Y. Euliano, MD1,2 Minh Tam Nguyen, MS3 Shalom Darmanjian, PhD3 John D. Busowski, MD, JD4 Neil Euliano, PhD3 Anthony R. Gregg, MD2 1 Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida 2 Department of Obstetrics and Gynecology, University of Florida College of Medicine, Gainesville, Florida 3 OBMedical, Jonesville, Florida 4 Center for Maternal Fetal Medicine, Winnie Palmer Hospital for Women and Babies, Orlando, Florida Address for correspondence Tammy Y. Euliano, MD, Department of Anesthesiology, University of Florida College of Medicine, 1600 SW Archer Road, PO Box 100254, Gainesville, FL 32610 (e-mail: [email protected]fl.edu). Am J Perinatol Abstract Keywords ► electrohysterography ► intrauterine pressure ► tocodynamometry Objective The aim of this article was to compare clinical interpretation of uterine activity tracings acquired by tocodynamometry and electrohysterography with the gold standard, intrauterine pressure. Study Design Using data from a previous study, subjects who had simultaneous monitoring with all three uterine activity devices were included in this study. These were parturients who required intrauterine pressure catheter (IUPC) placement for obstetric indication. A Web-based application displayed scrolling 30-minute segments of uterine activity. Two blinded obstetricians and two blinded obstetric nurses independently reviewed the segments, marking uninterpretable segments and the peak of each contraction. Interpretability was compared using positive percent agreement. False positives are contractions marked in the noninvasive strip that have no corresponding contraction in the IUPC strip. False negatives are the reverse. Results A total of 135 segments, acquired during either Stage 1 (active labor) or Stage 2 (pushing), from 105 women, were included in this analysis. For all four observers, both interpretability and sensitivity of electrohysterography exceeded that of tocodynamometry (p < 0.0001). This remained true for the obese population (96 segments). Conclusion Compared with the IUPC, electrohysterography is more sensitive and provides tracings that are more often interpretable than tocodynamometry for intrapartum monitoring; electrohysterography is also less affected by increasing maternal body mass index. Reliable uterine activity (UA) monitoring is essential for the accurate interpretation of fetal heart rate tracings. Inadequate contraction monitoring, particularly in the setting of oxytocininduced hyperstimulation, is common in litigation cases.1 The high failure rate of external UA monitoring via tocodynamometry (Toco) in obese patients is well known.2,3 The traditional, alternative placement of an intrauterine pressure catheter (IUPC) carries small but real risks, particularly of infection.4 received June 4, 2015 accepted after revision December 16, 2015 Copyright © by Thieme Medical Publishers, Inc., 333 Seventh Avenue, New York, NY 10001, USA. Tel: +1(212) 584-4662. DOI http://dx.doi.org/ 10.1055/s-0036-1572425. ISSN 0735-1631. Monitoring Uterine Activity during Labor Euliano et al. Recently, several groups have reported monitoring UA via electrohysterography (EHG)5–8: recording of the electrical activity of the uterus from the maternal abdominal wall. Our group has similarly reported improved reliability of EHG over Toco, using IUPC as the gold standard.5 The aim of the current study is to evaluate the quality of each method’s UA tracing by clinician assessment. Methods This study is an analysis of the UA data from a larger study targeting fetal heart rate comparison of noninvasive fetal electrocardiogram via abdominal electrodes, with fetal scalp electrode (FSE) and ultrasound. The study was conducted at UF Health (Gainesville, FL) and Winnie Palmer Hospital for Women and Babies (Orlando, FL). The institutional review boards at each institution approved the identical protocol (project number 346-2010 on September 2, 2010) and all subjects provided written, informed consent. Adult women admitted to the labor and delivery suites at term (37 weeks of gestation) in active labor with a singleton fetus in cephalic presentation, without bleeding, uterine scar, or evidence of chorioamnionitis, and with an IUPC and/or FSE in place for obstetric indication, were eligible for inclusion. Maternal positioning in the labor bed was not restricted. For the present report, we include only those subjects with a valid IUPC trace for at least 30 minutes during monitoring and who met the following criteria: after allowing 10 minutes for stabilization of all signals, at least one 30-minute UA strip during Stage 1 with all three monitoring modalities and/or at least 10 minutes during Stage 2. Following skin preparation by gentle rubbing with abrasive gel, six 3-cm2 Ag/AgCl2 electrodes (Ambu; Glen Burnie, MD) were placed on the maternal abdomen: four surrounding the navel forming a diamond, each approximately 7.7 cm from the navel. To reduce environmental noise, driven right leg and common mode electrodes were placed on the subject’s left flank. These electrodes should record little of the desired signal and therefore were used to subtract noise common to all electrodes. The electrodes were connected to the amplifier in a monopolar fashion. Electrode positions were modified slightly for each patient, as required by the location of the tocodynamometer and ultrasound. Because the signals from uterus and fetal heart are small, impedance (the resistance to signal flow between electrode and skin) of each electrode was measured (General Devices EIM-105 Prep-Check; Ridgefield, NJ), and the skin was re-prepped to achieve an impedance below 10 kΩ at each site. The recorded signals were fed to a four-channel highresolution, low-noise unipolar amplifier. All four signals were measured with respect to a reference electrode. The amplifier design employed driven right leg circuitry to reduce common mode noise between the patient and the amplifier. The amplifier 3 dB bandwidth was 131 Hz. Data from each patient included a UA channel from two maternal–fetal monitors: Toco (Corometrics, GE Medical Systems, Waukesha, WI) and IUPC (Corometrics at UF Health, and Avalon, Philips Healthcare, Andover, MA, at Winnie Palmer) American Journal of Perinatology sampled at 8 Hz with 8-bit resolution. These cardiotocographs reported the Toco- and IUPC-derived contraction curves. Data also included output from four abdominal EHG channels sampled at 500 Hz with 24-bit resolution. To produce the EHG contraction curve, the four EHG channels were band pass filtered between 0.2 and 1 Hz to eliminate low- and high-frequency noise while preserving the main contraction power, and adaptively combined based on their signal-to-noise ratio to create the EHG UA trace. The output was then down-sampled at 8 Hz and normalized to scale the signal from 0 to 100 units for direct comparison with Toco and IUPC tracings. All three UA curves were stored electronically for subsequent analysis. The clinician caring for the patient was blinded to all but the IUPC tracing. The research assistant was instructed to adjust the Toco to acquire the best possible tracing throughout the data collection. Each collection for the first 10 minutes was discarded to allow for stabilization of all signals. Each tracing was reviewed for the presence of Toco and IUPC waveforms, and segments were discarded if either was absent. From the remaining data, for Stage 1, 30-minute segments were identified by computer software that randomly selected the starting point with the constraint that data segments not overlap. One segment was selected for each strip with less than 60 minutes of remaining duration, two for all others. For Stage 2, all available 30-minute segments were selected for analysis. If the Stage 2 segment duration was between 10 and 30 minutes, a continuous 30-minute segment, which includes the length of Stage 2, was taken for analysis. A Web-based application was developed to display the segments of UA for evaluation. Four clinicians (two obstetricians and two labor and delivery nurses) participated. The application presented a single UA segment at a time, in random order. Clinicians were blinded to the source (IUPC, Toco, or EHG) and subject. For each tracing, the clinician marked contraction locations and uninterpretable UA regions. All markers were saved for future analysis. A 10-minute example including all three modalities is provided in ►Fig. 1, though during the study the segments were presented individually. Although we selected segments where the IUPC tracing was clear, clinicians still identified uninterpretable sections. Using the IUPC as the gold standard, where its tracing was marked interpretable, the corresponding time periods of Toco and EHG were investigated. Interpretability of the UA systems was compared using positive percent agreement (PPA), defined as the percentage of time the noninvasive technology (Toco or EHG) was also marked interpretable. Contractions marked on the Toco/EHG signal that have a peak within 30 seconds of that marked on the IUPC signal are “consistent” contractions.9 False positives are UA contractions marked by clinicians in a Toco/EHG tracing and not in the corresponding IUPC tracing. False negatives are UA contractions marked in an IUPC tracing and not in the corresponding Toco/EHG tracing. Contraction peak delay for each true positive was computed by estimating the delay at which the cross-covariance between the contraction signal from Toco/EHG and IUPC is maximized. For each stage of labor and each patient, the Monitoring Uterine Activity during Labor Euliano et al. Fig. 1 Example of 10-minute segments of uterine activity from each modality marked by a single observer in the Web-based application. Contraction peaks are marked with a vertical line. Uninterpretable segments are marked with a box. performance characteristics were averaged across data segments when more than one was selected. Demographic characteristics were compared using the two-sample t-test. Descriptive statistics, reported as medians with interquartile ranges (IQRs), were computed for all performance characteristics for the entire dataset and for those with body mass index 30. Either t-tests (normally distributed) or Wilcoxon signed-rank tests (non-normally distributed) were used to compare the quality of EHG and Toco for PPA, false positives, false negatives, and contraction delay (time between peak of IUPC and peak of EHG/Toco). Additionally, median differences in contraction delay were examined using the Hodges-Lehmann estimator. Statistical tests were performed with Matlab R2013 (Mathworks, Natick, MA) and JMP 11 (SAS Institute, Cary, NC) and were considered statistically significant when p < 0.005, to account for multiple comparisons via a Bonferroni correction. Results Of the 167 subjects enrolled in the larger study, 105 met the inclusion criteria for this report: 66 at UF Health and 39 at Winnie Palmer. In total 13,129 minutes of UA was acquired simultaneously with all three modalities. Stage 1 analysis included 172 segments from 102 subjects. Stage 2 analysis included 60 segments from 31 subjects. Demographic characteristics of the subjects are listed in ►Table 1. Subjects at UF Health were slightly younger (p ¼ 0.017) than those at Winnie Palmer, and more Stage 2 data were acquired at UF Health, but otherwise the groups were comparable. Nearly all IUPC and EHG tracings were interpretable, with a median of 0% for both IUPC and EHG of Stage 1 tracings marked problematic and <4% of Stage 2 tracings (IUPC ¼ 3.5%; EHG ¼ 1.6%) for either device. Conversely, for more than one-third of the time for both Stage 1 (46.5%) and Stage 2 (41.3%), the Toco tracing was marked uninterpretable; this difference between EHG and Toco tracings was statistically significant (p < 0.0001). ►Table 2 displays the interpretability (PPA) and contraction peak delay scores for EHG and Toco compared with the standard. The PPA for EHG exceeded Toco for all tracings (p < 0.0001), and for the obese subset (p < 0.0001). All clinicians identified significantly more EHG contractions Table 1 Demographic characteristics Demographic variables Total (n ¼ 105) Mean (SD) UF Health (n ¼ 66) Mean (SD) WP (n ¼ 39) Mean (SD) p Age (y) 27.0 (5.7) 26.0 (5.7) 28.7 (5.4) 0.017 Gestational age (wk) 39.1 (1.2) 39.2 (1.3) 39.1 (1.1) 0.58 Body mass index 35.3 (8.9) 36.2 (9.5) 33.8 (7.6) 0.15 Stage 1 (min) 50.6 (14.0) 52.4 (13.2) 47.7 (14.9) 0.11 Stage 2 (min) 58.1 (44.5) 83.6 (55.4) 37.1 (13.1) 0.008 American Journal of Perinatology Monitoring Uterine Activity during Labor Euliano et al. Table 2 Comparison between Toco and EHG for all subjects (na ¼ 135) and only in those with BMI 30 Variable BMI 30 All subjects Median IQR p b Median IQR <0.0001 PPA, % EHG 100 2 Toco 54 60 <0.0001 100 2 55 61 <0.0001 Ctx delay(s) pb <0.0001 EHG 4.24 4.34 4.08 4.48 Toco 1.87 3.11 1.80 3.16 Abbreviations: BMI, body mass index; Ctx, contraction; EHG, electrohysterography; IQR, interquartile range; PPA, positive percent agreement; Toco, tocodynamometry. a n ¼ number of distinct Stage I patients þ number of distinct Stage II patients. b p-Value from Wilcoxon signed-rank test. consistent with IUPC than they did in the Toco tracings (►Table 3). While they also recorded more false-positive contractions with EHG, overall mean sensitivity was higher with EHG (90%) as compared with Toco (46%). EHG contraction delay (median ¼ 4.24, IQR ¼ 4.34), relative to IUPC, was slightly larger than for Toco (median ¼ 1.87, IQR ¼ 3.11), with a Hodges-Lehmann median difference ¼ 2.00 (95% confidence interval [CI]: 1.53–2.48). To assess interobserver differences for each outcome, separate Wilcoxon signed-rank tests were conducted for each pair of observers for Toco and EHG. No statistically significant differences were observed for false positives, false negatives, or contraction delay for Toco or EHG. For PPA, there was evidence for interobserver differences. Notably, the second obstetric nurse had significantly (p < 0.001) higher PPA ratings (median [IQR] ¼ 81% [85]) compared with the other observers (median [IQR] for obstetrician 1 ¼ 45% [91]; median [IQR] for obstetrician 2 ¼ 55% [81]; median [IQR] for obstetric nurse 1 ¼ 55% [88]) for Toco. However, in secondary analyses that removed the second obstetric nurse’s ratings, PPA was still significantly higher (p < 0.0001) in EHG (median [IQR] ¼ 100% [0]) as compared with Toco (median [IQR] ¼ 51% [88]). Comparisons between Toco and EHG for each observer are presented in Appendix A (►Tables A1–A5). Discussion In this comparative study, experienced clinicians found EHGderived UA tracings more often interpretable than Toco tracings. The sensitivity of EHG was also superior, with approximately 90% of all IUPC-detected contractions similarly marked on the EHG tracing, nearly double that of Toco. In using frequency of contractions to titrate oxytocin,10 reliable detection provides a clinical advantage. Of note, reviewers of EHG tracings identified slightly more contractions than were seen on the corresponding IUPC tracings. Whether this was maternal or fetal movement generating a confounding electrical signal or weak contractions not detected by the IUPC is unclear. Work continues on the algorithm to reduce these false positives. The correlation between IUPC and Toco tracings, including contraction frequency, amplitude, and duration, has been investigated. Miles et al11 reported “good correlation” of contraction frequency detected by the Toco (r ¼ 0.75) in 20 patients with median BMI of 31.8. This was, however, simply a count of contractions over a 2-hour time period, without assessment of whether individual contractions corresponded to those detected by IUPC. Meanwhile they found poor correlation between Toco and IUPC in regard to contraction Table 3 Cumulative contractions, false positives, and false negatives for each device Cumulative Contractions (mean SD) b Consistent contractions (mean SD) False positives (mean SD) b False positives (%) False negatives (mean SD) False negatives (%) a b b IUP Toco EHG pa 2,493.3 27.0 1,226.5 35.9 2,448.2 78.4 <0.0001 1,182.3 23.2 2,242.5 27.0 <0.0001 44.3 23.8 205.8 61.1 0.003 2% 8% <0.0001 1,311.5 34.5 251.3 39.7 <0.0001 53% 10% <0.0001 p-Value differences between tocodynamometry and electrohysterography, either by t-test for continuous variables or z-test for proportions. Averaged across all four clinicians. b American Journal of Perinatology Monitoring Uterine Activity during Labor amplitude and duration.11 Several groups, including our own, have reported the superiority of EHG over Toco,5,7,9 especially in the obese.12 Although contraction amplitude does not directly correlate between EHG and IUPC,6 a relationship does exist13–16 that could be used to generate comparable tracings. Clinically, labor monitoring largely remains a visual interpretation of segments that pair UA and fetal heart rate. Several classification schemas exist, but numerous studies report poor inter- and even intraobserver interpretation reliability.17,18 Besides monitoring the labor itself, the importance of UA tracing extends to the relative timing of decelerations, yet few have reported on visual interpretation of UA tracings. Bakker et al19 studied Toco and IUPC tracings during the last 2 hours of Stage 1 and throughout Stage 2. Two of the authors classified tracings into adequate, “a recognizable and reliable pattern during the complete registration,” and inadequate. The latter was subdivided into absent UA pattern and “recognizable but unreliable pattern,” if there was poor calibration. They report that 40% of IUPC tracings were adequate throughout the studied period compared with <2% of Toco. In the remainder of tracings, inadequate registration was due almost exclusively to failure of calibration for the IUPC, whereas for Toco, the majority was an absent UA tracing. The authors conclude the superiority of IUPC “if external monitoring does not provide an adequate UA trace.” Hadar et al9 found a similar rate of interpretable tracings for EHG (87%) and IUPC (95%), while Toco was significantly lower (68%). Identified contraction frequency was also lower for Toco than for EHG relative to IUPC. In a report by Reinhard et al,7 four gynecologists reviewed EHG and Toco tracings from first and second stages of labor. Tracings were graded as “adequate” or “inadequate,” with the former defined as “a recognizable and reliable pattern with a baseline calibration at or below 20 mm Hg (20%).” Only contractions that occurred during “adequate” periods were counted. The group found no inadequate EHG tracings compared with inadequate Toco during approximately 10% of the simultaneous recording time. This in part explains the higher number of detected contractions for EHG. Perhaps more interesting is the variability in contraction counts for the Toco. The authors attribute this not to a difference in the duration of segments labeled adequate by each observer but rather to the greater difficulty interpreting Toco tracings. Performance of the Toco is affected by the low sensitivity of the device, particularly in the obese; the necessity of calibration; and the frequent need for position adjustment to overlie the fundus. A limitation of this study is selection bias. All subjects had an IUPC placed for obstetric indication, often because of an inadequate tracing. The protocol did require continued attempts to acquire an acceptable Toco tracing, but it was not used for clinical decision making. This does not diminish the finding that EHG functioned well in the setting of an inadequate Toco. In settings such as preterm labor and premature rupture of membranes, where an IUPC is contraindicated, or undesirable, EHG can provide a much-needed alternative to Toco. Euliano et al. Weaknesses of this study include the use of only four clinicians, one of whom reported a significantly higher PPA for EHG than the others. Because removal of her data did not change the results, and inclusion only increased the validity of EHG, the authors believe it unlikely that inclusion of additional reviewers would substantially alter the conclusions. The lack of a standard definition for “uninterpretable” may be a weakness. Reviewers were instructed that all subjects were in active labor and having contractions, and to mark uninterpretable regions. Further they were instructed to “assess the traces as if this were a real life situation.” Three of the four clinicians had similar PPA and therefore likely shared a definition of “interpretable.” A more strict definition may have lessened the variability, but the goal was to mimic real clinical use. Since these data were collected, the LaborView (OBMedical, Newberry, FL) device has acquired FDA approval. Currently, pricing information is unavailable. The disposable electrode array will be more expensive than a reusable tocodynamometer, and likely more expensive than an IUPC. Off-setting this cost would be a potential reduction in the need to place IUPCs, together with a reduction in complications from that placement. An intangible cost saving would be reduction in nursing time adjusting the Toco position or calibration. The device is wireless, facilitating maternal movement such as position changes in bed, and movement to a chair. Recording during ambulation introduces substantial noise to the signal and is not currently a feature of the device. To our knowledge, this is the first report of expert visual comparison of EHG, Toco, and IUPC tracings. Our team of clinicians found the EHG to be superior to Toco, even in obese patients, approaching the quality of IUPC tracings for reporting qualitative UA. Conflict of Interest N. E. is Chief Technical Officer and M. T. N. and S. D. are employees of OBMedical, Jonesville, FL. T. Y. E. is married to N. E. and is listed on patents filed for some of the technology described in this article. The other authors report no conflict of interest. Note The study was supported by OBMedical and the University of Florida. Acknowledgments The authors would like to thank the clinicians who reviewed the segments: Kathryn Davidson, MD; Daniel Kushner, MD; Joann Tanner; and Susan Nickel; the authors would also like to thank the data collector at UF Health; Teresa Lyles, PhD; and Michele L. Real at Winnie Palmer Hospital for Women and Babies; our statistician, Terrie Vasilopoulos; and our editor, Corey Astrom. Finally, we would also like to thank the nursing and physician staff at both hospitals. American Journal of Perinatology Monitoring Uterine Activity during Labor Euliano et al. References 11 Miles AM, Monga M, Richeson KS. Correlation of external and 1 Williams B, Arulkumaran S. Cardiotocography and medicolegal 2 3 4 5 6 7 8 9 10 issues. Best Pract Res Clin Obstet Gynaecol 2004;18(3): 457–466 Ray A, Hildreth A, Esen UI. Morbid obesity and intra-partum care. J Obstet Gynaecol 2008;28(3):301–304 Vanner T, Gardosi J. Intrapartum assessment of uterine activity. Baillieres Clin Obstet Gynaecol 1996;10(2):243–257 Harper LM, Shanks AL, Tuuli MG, Roehl KA, Cahill AG. The risks and benefits of internal monitors in laboring patients. Am J Obstet Gynecol 2013;209(1):38.e1–38.e6 Euliano TY, Nguyen MT, Darmanjian S, et al. Monitoring uterine activity during labor: a comparison of 3 methods. Am J Obstet Gynecol 2013;208(1):66.e1–66.e6 Jacod BC, Graatsma EM, Van Hagen E, Visser GHA. A validation of electrohysterography for uterine activity monitoring during labour. J Matern Fetal Neonatal Med 2010;23(1): 17–22 Reinhard J, Hayes-Gill BR, Schiermeier S, et al. Uterine activity monitoring during labour—a multi-centre, blinded two-way trial of external tocodynamometry against electrohysterography. 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Obstet Gynecol 2007;109(5):1136–1140 Rabotti C, Mischi M, van Laar JOEH, Oei GS, Bergmans JWM. Estimation of internal uterine pressure by joint amplitude and frequency analysis of electrohysterographic signals. Physiol Meas 2008;29(7):829–841 Euliano T, Skowronski M, Marossero D, Shuster J, Edwards R. Prediction of intrauterine pressure waveform from transabdominal electrohysterography. J Matern Fetal Neonatal Med 2006; 19(12):811–816 Skowronski MD, Harris JG, Marossero DE, Edwards RK, Euliano TY. Prediction of intrauterine pressure from electrohysterography using optimal linear filtering. IEEE Trans Biomed Eng 2006; 53(10):1983–1989 Haran G, Elbaz M, Fejgin MD, Biron-Shental T. A comparison of surface acquired uterine electromyography and intrauterine pressure catheter to assess uterine activity. Am J Obstet Gynecol 2012; 206(5):412.e1–412.e5 Devoe L, Golde S, Kilman Y, Morton D, Shea K, Waller J. 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Appendix A Table A1 Interpretability comparison: positive percent agreement for all subjects (na ¼ 135) Subject and device Median IQR 1.000 0.450 0 0.907 <0.0001 Obstetrician 1 EHG Toco <0.0001 Obstetrician 2 EHG Toco 1.000 0.505 0 0.857 <0.0001 Obstetric Nurse 1 EHG Toco 1.000 0.550 0.050 0.880 1.000 0.805 0 0.848 <0.0001 Obstetric Nurse 2 EHG Toco p Abbreviations: EHG, electrohysterography; IQR, interquartile range; Toco, tocodynamometry. a n ¼ number of distinct Stage I patients þ number of distinct Stage II patients. Table A2 Interpretability comparison: positive percent agreement for subjects with BMI 30 (na ¼ 96) Subject and device Median IQR 1.000 0.435 0 0.890 EHG Toco 1.000 0.515 0 0.918 <0.0001 Obstetrician 2 EHG Toco <0.0001 Obstetric Nurse 1 EHG Toco 1.000 0.560 0.058 0.875 <0.0001 Obstetric Nurse 2 EHG Toco p <0.0001 Obstetrician 1 1.000 0.875 0 0.838 Abbreviations: BMI, body mass index; EHG, electrohysterography; IQR, interquartile range; Toco, tocodynamometry. a n ¼ number of distinct Stage I patients þ number of distinct Stage II patients. Table A3 Sensitivity for all subjects (na ¼ 135) Subject and device Median IQR 1.000 0.400 0.140 0.850 <0.0001 Obstetrician 1 EHG Toco <0.0001 Obstetrician 2 EHG Toco 1.000 0.450 0.123 0.873 <0.0001 Obstetric Nurse 1 EHG Toco 1.000 0.460 0.170 0.800 1.000 0.450 0.120 0.770 <0.0001 Obstetric Nurse 2 EHG Toco p Abbreviations: EHG, electrohysterography; IQR, interquartile range; Toco, tocodynamometry. a n ¼ number of distinct Stage I patients þ number of distinct Stage II patients. American Journal of Perinatology Monitoring Uterine Activity during Labor Euliano et al. Table A4 Sensitivity for subjects with body mass index 30 (na ¼ 96) Subject and device Median IQR 1.000 0.400 0.150 0.850 p <.0001 Obstetrician 1 EHG Toco <.0001 Obstetrician 2 EHG Toco 1.000 0.500 0.113 0.883 <.0001 Obstetric Nurse 1 EHG Toco 0.920 0.500 0.170 0.788 <.0001 Obstetric Nurse 2 EHG Toco 1.000 0.460 0.110 0.780 Abbreviations: EHG, electrohysterography; IQR, interquartile range; Toco, tocodynamometry. a n ¼ number of distinct Stage I patients þ number of distinct Stage II patients Table A5 Absolute contraction delay in seconds for all subjects Subject and device na Median IQR Hodges-Lehmann median difference Hodges-Lehmann confidence intervalb Obstetrician 1 EHG Toco 97 4.20 1.40 4.30 2.43 2.40 2.00–2.90 Obstetrician 2 EHG Toco 104 4.15 1.80 4.13 3.50 2.00 1.50–2.50 Obstetric Nurse 1 EHG Toco 108 4.25 1.85 4.18 3.28 2.00 1.50–2.50 Obstetric Nurse 2 EHG Toco 110 4.40 1.70 4.50 4.10 2.1 0 1.60–2.60 Abbreviations: EHG, electrohysterography; IQR, interquartile range; Toco, tocodynamometry. a n ¼ number of distinct Stage I patients þ number of distinct Stage II patients who presented uterine activity contractions. b 95% two-sided confidence interval. American Journal of Perinatology
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