Beta-human chorionic gonadotrophin point of care testing for the management of pregnancy of unknown location.

BHCG Early pregnancy Ectopic pregnancy Modelling Pregnancy of unknown location Ultrasound

Journal

Reproductive biomedicine online
ISSN: 1472-6491
Titre abrégé: Reprod Biomed Online
Pays: Netherlands
ID NLM: 101122473

Informations de publication

Date de publication:
22 Oct 2023
Historique:
received: 19 07 2023
revised: 18 10 2023
accepted: 20 10 2023
medline: 24 1 2024
pubmed: 24 1 2024
entrez: 23 1 2024
Statut: aheadofprint

Résumé

Does a commercially available quantitative beta-human chorionic gonadotrophin (BHCG) point of care testing (POCT) device improve workflow management in early pregnancy by performing comparably to gold standard laboratory methods, and is the performance of a validated pregnancy of unknown location (PUL) triage strategy maintained using POCT BHCG results? Women classified with a PUL between 2018 and 2021 at three early pregnancy units were included. The linear relationship of untreated whole-blood POCT and serum laboratory BHCG values was defined using coefficients and regression. Paired serial BHCG values were then incorporated into the validated M6 multinomial logistic regression model to stratify the PUL as at high risk or at low risk of clinical complications. The sensitivity and negative predictive value were assessed. The timings required for equivocal POCT and laboratory care pathways were compared. A total of 462 PUL were included. The discrepancy between 571 laboratory and POCT BHCG values was -5.2% (-6.2 IU/l), with a correlation coefficient of 0.96. The 133 PUL with paired 0 and 48 h BHCG values were compared using the M6 model. The sensitivity for high-risk outcomes (96.2%) and negative predictive values (98.5%) was excellent for both. Sample receipt and laboratory processing took 135 min (421 timings), compared with 12 min (91 timings) when using POCT (P < 0.0001). POCT BHCG values correlated well with laboratory testing measurements. The M6 model retained its performance when using POCT BHCG values. Using the model with POCT may improve workflow and patient care without compromising on effective PUL triage.

Identifiants

pubmed: 38262209
pii: S1472-6483(23)00742-3
doi: 10.1016/j.rbmo.2023.103643
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103643

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Christopher Kyriacou (C)

Tommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.

Shikha Kapur (S)

Gynaecology Emergency Unit, Department of Obstetrics and Gynaecology, St Mary's Hospital, Imperial College London, London, UK.

Sobanakumari Jeyapala (S)

Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Hillingdon Hospital, London, UK.

Nina Parker (N)

Tommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.

Wei Yang (W)

Biochemistry unit, Department of Laboratory Diagnostics, Hammersmith Hospital, Imperial College London, London, UK.

Margaret Pikovsky (M)

Tommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.

Shabnam Bobdiwala (S)

Tommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.

Jennifer Barcroft (J)

Tommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.

Shanuja Maheetharan (S)

Biochemistry unit, Department of Laboratory Diagnostics, Hammersmith Hospital, Imperial College London, London, UK.

Shyamaly Sur (S)

Tommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.

Catriona Stalder (C)

Tommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.

Deborah Gould (D)

Gynaecology Emergency Unit, Department of Obstetrics and Gynaecology, St Mary's Hospital, Imperial College London, London, UK.

Shabana Syed (S)

Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Hillingdon Hospital, London, UK.

Tricia Tan (T)

Biochemistry unit, Department of Laboratory Diagnostics, Hammersmith Hospital, Imperial College London, London, UK.

Tom Bourne (T)

Tommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK; Department of Development and Regeneration, KU Leuven, Leuven, Belgium. Electronic address: t.bourne@imperial.ac.uk.

Classifications MeSH