Literature DB >> 27165655

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.

S Bobdiwala1, S Guha2, B Van Calster3, F Ayim4, N Mitchell-Jones5, M Al-Memar1, H Mitchell4, C Stalder1, C Bottomley5, A Kothari4, D Timmerman6, T Bourne7.   

Abstract

STUDY QUESTION: What are the adverse outcomes associated with using the M4 model in everyday clinical practice for women with pregnancy of unknown location (PUL)? SUMMARY ANSWER: There were 17/835 (2.0%) adverse events and no serious adverse events associated with the performance of the M4 model in clinical practice. WHAT IS KNOWN ALREADY: The M4 model has previously been shown to stratify women classified as a PUL as at low or high risk of complications with a good level of test performance. The triage performance of the M4 model is better than single measurements of serum progesterone or the hCG ratio (serum hCG at 48 h/hCG at presentation). STUDY DESIGN, SIZE, DURATION: A prospective multi-centre cohort study of 1022 women with a PUL carried out between August 2012 and December 2013 across 2 university teaching hospitals and 1 district general hospital. PARTICIPANTS/MATERIALS, SETTING,
METHODS: All women presenting with a PUL to the early pregnancy units of the three hospitals were recruited. The final outcome for PUL was either a failed PUL (FPUL), intrauterine pregnancy (IUP) or ectopic pregnancy (EP) (including persistent PUL (PPUL)), with EP and PPUL considered high-risk PUL. Their hCG results at 0 and 48 h were entered into the M4 model algorithm. If the risk of EP was ≥5%, the PUL was predicted to be high-risk and the participant was asked to re-attend 48 h later for a repeat hCG and transvaginal ultrasound scan by a senior clinician. If the PUL was classified as 'low risk, likely failed PUL', the participant was asked to perform a urinary pregnancy test 2 weeks later. If the PUL was classified as 'low risk, likely intrauterine', the participant was scheduled for a repeat scan in 1 week. Deviations from the management protocol were recorded as either an 'unscheduled visit (participant reason)', 'unscheduled visit (clinician reason)' or 'differences in timing (blood test/ultrasound)'. Adverse events were assessed using definitions outlined in the UK Good Clinical Practice Guidelines' document. MAIN RESULTS AND THE ROLE OF CHANCE: A total of 835 (82%) women classified as a PUL were managed according to the M4 model (9 met the exclusion criteria, 69 were lost to follow-up, 109 had no hCG result at 48 h). Of these, 443 (53%) had a final outcome of FPUL, 298 (36%) an IUP and 94 (11%) an EP. The M4 model predicted 70% (585/835) PUL as low risk, of which 568 (97%) were confirmed as FPUL or IUP. Of the 17 EP and PPUL misclassified as low risk, 5 had expectant management, 7 medical management with methotrexate and 5 surgical intervention.Nineteen PUL had an unscheduled visit (participant reason), 38 PUL had an unscheduled visit (clinician reason) and 68 PUL had deviations from protocol due to a difference in timing (blood test/ultrasound).Adverse events were reported in 26 PUL and 1 participant had a serious adverse event. A total of 17/26 (65%) adverse events were misclassifications of a high risk PUL as low risk by the M4 model, while 5/26 (19%) adverse events were related to incorrect clinical decisions. Four of the 26 adverse events (15%) were secondary to unscheduled admissions for pain/bleeding. The serious adverse event was due to an incorrect clinical decision. LIMITATIONS, REASONS FOR CAUTION: A limitation of the study was that 69/1022 (7%) of PUL were lost to follow-up. A 48 h hCG level was missing for 109/1022 (11%) participants. WIDER IMPLICATIONS OF THE
FINDINGS: The low number of adverse events (2.0%) suggests that expectant management of PUL using the M4 prediction model is safe. The model is an effective way of triaging women with a PUL as being at high- and low-risk of complications and rationalizing follow-up. The multi-centre design of the study is more likely to make the performance of the M4 model generalizable in other populations. STUDY FUNDING/COMPETING INTERESTS: None. TRIAL REGISTRATION NUMBER: Not applicable.
© The Author 2016. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  adverse events; decision support techniques; ectopic pregnancy; miscarriage; pregnancy of unknown location; triage; ultrasonography

Mesh:

Year:  2016        PMID: 27165655      PMCID: PMC4901883          DOI: 10.1093/humrep/dew105

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  29 in total

1.  Failing pregnancies of unknown location: a prospective evaluation of the human chorionic gonadotrophin ratio.

Authors:  G Condous; E Kirk; B Van Calster; S Van Huffel; D Timmerman; T Bourne
Journal:  BJOG       Date:  2006-05       Impact factor: 6.531

2.  Extending the c-statistic to nominal polytomous outcomes: the Polytomous Discrimination Index.

Authors:  Ben Van Calster; Vanya Van Belle; Yvonne Vergouwe; Dirk Timmerman; Sabine Van Huffel; Ewout W Steyerberg
Journal:  Stat Med       Date:  2012-06-26       Impact factor: 2.373

3.  Assessing calibration of multinomial risk prediction models.

Authors:  Kirsten Van Hoorde; Yvonne Vergouwe; Dirk Timmerman; Sabine Van Huffel; Ewout W Steyerberg; Ben Van Calster
Journal:  Stat Med       Date:  2014-02-18       Impact factor: 2.373

Review 4.  Ectopic pregnancy.

Authors:  Deborah Levine
Journal:  Radiology       Date:  2007-11       Impact factor: 11.105

5.  The optimal timing of an ultrasound scan to assess the location and viability of an early pregnancy.

Authors:  C Bottomley; V Van Belle; F Mukri; E Kirk; S Van Huffel; D Timmerman; T Bourne
Journal:  Hum Reprod       Date:  2009-04-10       Impact factor: 6.918

6.  Improved confidence intervals for the difference between binomial proportions based on paired data.

Authors:  R G Newcombe
Journal:  Stat Med       Date:  1998-11-30       Impact factor: 2.373

7.  Two-sided confidence intervals for the single proportion: comparison of seven methods.

Authors:  R G Newcombe
Journal:  Stat Med       Date:  1998-04-30       Impact factor: 2.373

8.  Human chorionic gonadotrophin and progesterone levels in pregnancies of unknown location.

Authors:  G Condous; C Lu; S V Van Huffel; D Timmerman; T Bourne
Journal:  Int J Gynaecol Obstet       Date:  2004-09       Impact factor: 3.561

9.  The use of a new logistic regression model for predicting the outcome of pregnancies of unknown location.

Authors:  G Condous; E Okaro; A Khalid; D Timmerman; C Lu; Y Zhou; S Van Huffel; T Bourne
Journal:  Hum Reprod       Date:  2004-06-17       Impact factor: 6.918

10.  Why are some ectopic pregnancies characterized as pregnancies of unknown location at the initial transvaginal ultrasound examination?

Authors:  Emma Kirk; Anneleen Daemen; Aris T Papageorghiou; Cecilia Bottomley; George Condous; Bart De Moor; Dirk Timmerman; Tom Bourne
Journal:  Acta Obstet Gynecol Scand       Date:  2008       Impact factor: 3.636

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  2 in total

Review 1.  Factors to consider in pregnancy of unknown location.

Authors:  Shabnam Bobdiwala; Maya Al-Memar; Jessica Farren; Tom Bourne
Journal:  Womens Health (Lond)       Date:  2017-06-29

2.  Triaging Women with Pregnancy of Unknown Location: Evaluation of Protocols Based on Single Serum Progesterone, Serum hCG Ratios, and Model M4.

Authors:  Rubina Izhar; Samia Husain; Muhammad Ahmad Tahir; Syed Hasan Ala; Rahila Imtiaz; Sonia Husain; Sara Talha
Journal:  J Reprod Infertil       Date:  2022 Apr-Jun
  2 in total

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