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Clinical Application of a New Cesarean Scar Pregnancy Classification and Evaluation System and a Risk Scoring System.
Fu, Peiying; Zhang, Ling; Zhou, Ting; Wang, Shixuan; Liu, Ronghua.
Afiliação
  • Fu P; Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
  • Zhang L; Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
  • Zhou T; Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
  • Wang S; Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
  • Liu R; Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Int J Gen Med ; 17: 115-126, 2024.
Article em En | MEDLINE | ID: mdl-38249619
ABSTRACT

Objective:

Cesarean scar pregnancy (CSP) is an uncommon form of ectopic pregnancy that carries the risk of severe bleeding. To date, there has not been a universally accepted classification and treatment strategy. We performed this study to establish a risk scoring system and new CSP classification system for CSP and evaluate its efficacy.

Methods:

A total of five groups were generated based on different methods of treatment, and the factors that increase the risk of intraoperative bleeding were examined in our center from 2013 to 2018. The construction of a risk scoring system in this study was based on the use of the chi-square test and multivariate logistic regression analysis. To determine the appropriate cutoff scores, receiver operating characteristic (ROC) curves and the area under the curve (AUC) were generated.

Results:

We identified the main high-risk factors for excessive intraoperative hemorrhage during CSP surgery through univariate and multivariate analyses. Within this investigation, the risk factors included gestational sac location and gestational sac diameter. Through analysis, an optimal cutoff score of 3 was determined, and the area under the ROC curve was calculated to be 0.8113 (95% CI=0.7696-0.8531). A score ranging from 0-3 was classified as low risk, while a score ranging from 5-7 was classified as high risk. Additionally, a new classification system for CSP has been established based on sonographic parameters. We also established a diagnostic and treatment process for CSP patients according to the risk scoring method and new CSP classification.

Conclusion:

We identified the high-risk factors associated with bleeding during CSP surgery and developed a scoring system incorporating these factors. The utilization of this novel CSP typing method, in conjunction with the risk scoring system, can effectively inform doctors in their decision-making process concerning treatment strategies for patients with CSP.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article