- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03461835
Management of Pregnancies of Unknown Location (PUL)
- a Randomized Control Trial of Two hCG- Based Decision Support Models
In a randomized multicenter trial the investigators want to compare the ability of two hCG-based models in correctly classifying EPs as high risk among PULs and correctly classifying IUPs and failed PULs as low risk after two hCG measurements.
After the classification of PULs into high or low risk of EP, the clinical management will be the same within each risk group (high and low) regardless of randomization group (which model classified the patients). The clinical management will be according to the management protocol published in a NICE guideline.
Study Overview
Status
Intervention / Treatment
Detailed Description
Pregnancy of unknown location (PUL) is a term used to describe a situation where there is no evidence of a gestation either intra-or extrauterine on transvaginal sonography (TVS) in women seeking medical attention for various reasons in early pregnancy. The principal tool in PUL management besides TVS is the interpretation of the change in serial serum human chorionic gonadotropin (hCG) levels. A recent meta-analysis concluded that there is not enough evidence to recommend a specific strategy using hCG when managing PULs. In a NICE (National Institute of health and care excellence) guideline however women with a PUL acceptable for outpatient surveillance, where the rate of change in rising hCG levels surpassing 63 % in 48 hours (h) highly likely represents an IUP and the patient is triaged to a TVS after one week. Those with a decline in hCG levels of more than 50 % are predicted to be failed PULs and a urinary pregnancy test (UPT) after two weeks is appropriate. If the rate of change in hCG levels fail to meet these cut-offs a re-visit within 24 h is warranted in order to possibly diagnose an EP and suitable treatment selected. In a previous study; an hCG based logistic regression model, M4 classified 70 % of all PULs as low risk of being an EP, hence qualifying for a reduced follow-up while correctly identifying 88 % of EPs. A study from Sahlgrenska University hospital (SU) evaluated the M4 model with similar results, where also the cut-offs by NICE similarly identified 86 % of EPs but to a lesser extent correctly classified low risk PULs. Another finding in the study was that EPs identified by M4 mainly depicted rising hCG levels opposed to the NICE model identifying mainly EPs with declining hCG levels which could have clinical consequences since EPs with rising hCG levels more often seem to necessitate laparoscopic surgery and maybe a postponed diagnosis could be deleterious in these cases. Hence, the M4 model potentially would be better than the NICE cut-offs for PUL management. None of these findings however have been evaluated in a randomized controlled trial (RCT). An updated version of M4 named M6 was first published 2016 and has not been externally validated. Neither has prior cut-offs of declining hCG levels currently used to define a failed PUL.
The handling of these women is often lengthy with a high level of uncertainty before a final diagnosis can be made. The psychological morbidity in this group is largely unknown, while well acknowledged in women following miscarriage, were up to 41% self-reporting clinically significant levels of anxiety and 36% reporting depression within 1 month. In a recent study 24 % (CI 21-28) and 11 % (8-14) respectively of women with either a miscarriage or ectopic pregnancy experienced moderate or severe anxiety and depression according to the Hospital Anxiety Depression Scale (HADS), compared to 13 % (7-21) and 2 % (1-8) in a control group without complications in early pregnancy. We aim to determine the presence and severity of psychological distress and quality of life among women with a pregnancy of unknown location.
A secondary objective is to test following hypothesis: Women with an early normal pregnancy starting as a pregnancy of unknown location have twice as high probability of having HADS-scores above or equal to eight on both subscales, than women with an early normal pregnancy.
We calculated that we would need 121 women in each group to reach a power of 80 % to detect an absolute difference of 15 percentage points after one week, with a 15 % incidence of HADS anxiety score ≥ 8 among control subjects and 30 % among IUP starting as a PUL at a two-sided alpha level of 0.05 (20). For protection against that 10 % of patients will be lost to follow-up a total of 130 women are included in each group. In a second calculation based on using HADS as a continuous scale, 94 women would need to be included in each group to detect an absolute two points difference on the anxiety subscale of the HADS assuming a mean score of 6.0 and a standard deviation of 3.4 in control subjects, at a significance level 0.05 and power 0.80. This minimally important difference is based on mean scores on the HADS anxiety subscale reported for women in early pregnancy in prior studies (20-22). We plan to include a total of 210 women with a 1:1 ratio to account for an expected 10 % loss to follow-up.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Borås, Sweden, 501 82
- Södra Älvsborgs Sjukhus
-
Göteborg, Sweden, 413 45
- Sahlgrenska University Hospital
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Skövde, Sweden, 541 85
- Skaraborgs Sjukhus Skövde
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Patients with a PUL
- Patients with mild or no symptoms
- Patients willing to be randomized
- First hCG value <10,000 IU/L
- Patients with an interval between two hCG measurements of 44-56 h
Exclusion Criteria:
- Hemodynamically unstable patients
- Hemoperitoneum
- Patients not managed as outpatients during the course of the initial two hCG measurements
- Non-understanding of the oral or written study information
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Quadruple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Active Comparator: M4
High risk classification if the chance of the PUL being an EP ≥5 %; a calculation based on the average value of the two hCG and the ratio of these two hCG (0 h/48 h).
Otherwise a low risk classification is made and a predicted outcome of either an IUP or failed PUL is presented.
|
High or low risk of being an ectopic pregnancy
High or low risk of being an ectopic pregnancy
|
|
Active Comparator: NICE
High risk classification if the change in rising hCG levels ≤ 63 % or the change in declining hCG ≤ 50 %.
If these cut-offs are exceeded the PUL is classified as low risk and predicted to be either an IUP or failed PUL depending on rising or declining hCG levels.
|
High or low risk of being an ectopic pregnancy
High or low risk of being an ectopic pregnancy
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity
Time Frame: 1 month
|
EPs (percent) correctly classified as high risk of being an EP among PULs
|
1 month
|
|
Specificity
Time Frame: 1 month
|
IUPs and failed PULs (percent) correctly classified as low risk of being an EP among PULs
|
1 month
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
HAD (Hospital and anxiety scale)
Time Frame: 1 month
|
Scoring (Depression and anxiety): 0-7=Normal Borderline abnormal=8-10 11-21=Abnormal |
1 month
|
|
Follow up visits (efficacy)
Time Frame: 1 month
|
Number of hCG and TVS performed overall and within each final outcome (EP, IUP, and failed PUL)
|
1 month
|
|
Adverse events
Time Frame: 1 month
|
Number of treatment related adverse events as assessed by EMA (European medicines agency)
|
1 month
|
|
Deviation from PUL management protocol
Time Frame: 1 month
|
Number of unplanned visits, initiated by the physician or the patient
|
1 month
|
|
Treatment of ectopic pregnancy
Time Frame: 1 month
|
Surgical (laparoscopic salpingotomy/salpingectomy), medical (MTX) or expectant management.
Number of ruptured EPs.
|
1 month
|
|
The Short Form (36) Health Survey
Time Frame: 1 month
|
The SF-36 consists of eight scaled scores, which are the weighted sums of the questions in their section.Each scale is directly transformed into a 0-100 scale on the assumption that each question carries equal weight.
The lower the score the more disability.
The higher the score the less disability i.e., a score of zero is equivalent to maximum disability and a score of 100 is equivalent to no disability.
|
1 month
|
|
Sensitivity (M6)
Time Frame: 1 month
|
EPs (%) correctly classified as high risk of being an EP among PULs
|
1 month
|
|
Specificity (M6)
Time Frame: 1 month
|
IUPs and failed PULs (%) correctly classified as low risk of being an EP among PULs
|
1 month
|
|
Specificity, optimal cut-off
Time Frame: 1 month
|
Optimal cut-off in hCG decline (percent) between two measurements to correctly classify IUPs and failed PULs as low risk of being an EP among PULs with declining hCG levels.
|
1 month
|
|
Sensitivity, optimal cut-off
Time Frame: 1 month
|
Optimal cut-off in hCG decline (percent) between two measurements to correctly classify an EP as high risk among PULs with declining hCG levels.
|
1 month
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Annika Strandell, Ass.prof., Göteborg University
Publications and helpful links
General Publications
- National Collaborating Centre for Women's and Children's Health (UK). Ectopic Pregnancy and Miscarriage: Diagnosis and Initial Management in Early Pregnancy of Ectopic Pregnancy and Miscarriage. London: RCOG Press; 2012 Dec. Available from http://www.ncbi.nlm.nih.gov/books/NBK132775/
- Barnhart K, van Mello NM, Bourne T, Kirk E, Van Calster B, Bottomley C, Chung K, Condous G, Goldstein S, Hajenius PJ, Mol BW, Molinaro T, O'Flynn O'Brien KL, Husicka R, Sammel M, Timmerman D. Pregnancy of unknown location: a consensus statement of nomenclature, definitions, and outcome. Fertil Steril. 2011 Mar 1;95(3):857-66. doi: 10.1016/j.fertnstert.2010.09.006. Epub 2010 Oct 14.
- van Mello NM, Mol F, Opmeer BC, Ankum WM, Barnhart K, Coomarasamy A, Mol BW, van der Veen F, Hajenius PJ. Diagnostic value of serum hCG on the outcome of pregnancy of unknown location: a systematic review and meta-analysis. Hum Reprod Update. 2012 Nov-Dec;18(6):603-17. doi: 10.1093/humupd/dms035. Epub 2012 Sep 6.
- Van Calster B, Abdallah Y, Guha S, Kirk E, Van Hoorde K, Condous G, Preisler J, Hoo W, Stalder C, Bottomley C, Timmerman D, Bourne T. Rationalizing the management of pregnancies of unknown location: temporal and external validation of a risk prediction model on 1962 pregnancies. Hum Reprod. 2013 Mar;28(3):609-16. doi: 10.1093/humrep/des440. Epub 2013 Jan 4.
- Fistouris J, Bergh C, Strandell A. Classification of pregnancies of unknown location according to four different hCG-based protocols. Hum Reprod. 2016 Oct;31(10):2203-11. doi: 10.1093/humrep/dew202. Epub 2016 Aug 31.
- Mavrelos D, Nicks H, Jamil A, Hoo W, Jauniaux E, Jurkovic D. Efficacy and safety of a clinical protocol for expectant management of selected women diagnosed with a tubal ectopic pregnancy. Ultrasound Obstet Gynecol. 2013 Jul;42(1):102-7. doi: 10.1002/uog.12401. Epub 2013 May 27.
- Bobdiwala S, Guha S, Van Calster B, Ayim F, Mitchell-Jones N, Al-Memar M, Mitchell H, Stalder C, Bottomley C, Kothari A, Timmerman D, Bourne T. The clinical performance of the M4 decision support model to triage women with a pregnancy of unknown location as at low or high risk of complications. Hum Reprod. 2016 Jul;31(7):1425-35. doi: 10.1093/humrep/dew105. Epub 2016 May 10.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- PUL study
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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