Definition of large niche after Cesarean section based on prediction of postmenstrual spotting: Chinese cohort study in non-pregnant women.


Journal

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
ISSN: 1469-0705
Titre abrégé: Ultrasound Obstet Gynecol
Pays: England
ID NLM: 9108340

Informations de publication

Date de publication:
04 2022
Historique:
revised: 14 11 2021
received: 20 06 2021
accepted: 15 11 2021
pubmed: 23 11 2021
medline: 6 4 2022
entrez: 22 11 2021
Statut: ppublish

Résumé

A large niche after Cesarean section (CS) is associated with long-term complications, of which postmenstrual spotting is associated positively with the size of the niche. However, the diagnosis of a large niche in the literature is inconsistent and the definition is largely subjective. The aim of this study was to generate a definition for a large niche in non-pregnant women based on the presence of postmenstrual spotting. Women who had undergone CS in our hospital between January 2012 and June 2017 were selected randomly from our database, contacted by telephone and subsequently examined between January 2016 and June 2020. Eligible for inclusion were non-pregnant women who had their last CS more than 1 year earlier and agreed to undergo transvaginal sonography (TVS). All participants underwent examination of their CS scar by TVS (two-dimensional color Doppler) during the midfollicular phase. Niche depth, length, width, residual myometrial thickness (RMT), adjacent myometrial thickness (AMT) and ratio of niche depth/AMT were recorded. Women diagnosed with a niche, defined as an indentation at the site of the CS with a depth of at least 2 mm, were classified into two groups (symptomatic or asymptomatic) according to whether they experienced postmenstrual spotting. Logistic regression analysis was used to establish the best cut-off values for the niche parameters to predict postmenstrual spotting. A new definition was generated based on the niche parameters with the highest area under the receiver-operating-characteristics (ROC) curve (AUC) for the prediction of postmenstrual spotting. A total of 727 women who had a CS > 1 year earlier underwent TVS examination, of whom 263 were diagnosed with a niche (prevalence of 36.2%). Of these, 160 women experienced postmenstrual spotting and 103 were asymptomatic. The three variables with the highest AUC for prediction of postmenstrual spotting were niche depth/AMT ratio (AUC, 0.798; 95% CI, 0.745-0.852), niche depth (AUC, 0.731; 95% CI, 0.668-0.795) and RMT (AUC, 0.683; 95% CI, 0.618-0.748). Based on the best cut-offs according to ROC-curve analysis, a large niche was defined as: niche depth ≥ 0.50 cm, RMT ≤ 0.21 cm or niche depth/AMT ratio ≥ 0.56. The prevalence of a large niche according to this definition was 22.4% (163/727). The new definition had a specificity of 61.17% (95% CI, 52.34-70.41%) and sensitivity of 76.87% (95% CI, 70.28-84.16%) for a large niche. This study has provided a new definition for a large niche after CS. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.

Identifiants

pubmed: 34806258
doi: 10.1002/uog.24817
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

450-456

Informations de copyright

© 2021 International Society of Ultrasound in Obstetrics and Gynecology.

Références

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Auteurs

J Wang (J)

Department of Obstetrics & Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, Anhui, China.

Q Pang (Q)

Department of Obstetrics & Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

W Wei (W)

Department of Obstetrics & Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, Anhui, China.

L Cheng (L)

Department of Obstetrics & Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, Anhui, China.

F Huang (F)

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.

Y Cao (Y)

Department of Obstetrics & Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, Anhui, China.

M Hu (M)

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.

S Yan (S)

Department of Obstetrics & Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

Y He (Y)

Department of Obstetrics & Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, Anhui, China.

Z Wei (Z)

Department of Obstetrics & Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Anhui Province Key Laboratory of Reproductive Health and Genetics, Hefei, Anhui, China.

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