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临床试验/NCT06431204
NCT06431204已完成不适用

Obstetric Comorbidity Index for Prediction of Perioperative Severe Maternal Morbidity in Patients Undergoing Cesarean Delivery With Postpartum Hemorrhage

Mahidol University1 个研究点 分布在 1 个国家目标入组 583 人开始时间: 2024年7月13日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
583
试验地点
1
主要终点
The prediction of severe maternal morbidity using obstetric comorbidity index

研究概览

简要总结

The objective of this study is to examine the predictive capability of the Obstetric comorbidity index in the identification of severe maternal morbidity associated with postpartum hemorrhage in patients undergoing cesarean delivery.

详细描述

The prospectively predictive maternal morbidity is imperative to enhance maternal outcomes. There has been development of the obstetric comorbidity index (OBCMI) by Bateman et al. in 2013 and performed with superior performance characteristics relative to general comorbidity measures in an obstetric population. The score has been a growing recognition of the necessity for specialized risk assessment tools tailored specifically to obstetric populations that differ from other populations. For instance, both the Charlson/Romano comorbidity index or the Elixhauser comorbidity score and their adaptations are deficient in accounting for obstetric conditions, thereby limiting their ability to predict obstetric morbidity or mortality.

The Obstetric Comorbidity Index has undergone thorough examination and validation across multiple nations. These findings collectively demonstrate the index's capacity for moderate to high predictive accuracy in anticipating maternal morbidities, accompanied by a commendable discriminative performance.

However, within the context of Thailand, investigations concerning the Obstetric Comorbidity Index and its association with perioperative complications or morbidities in postpartum hemorrhage patients undergoing cesarean delivery remain unexplored. Therefore, this study aims to elucidate the correlation between the Obstetric Comorbidity Index and severe maternal morbidity, while also scrutinizing the prevalence of comorbidities during the perioperative period among patients undergoing cesarean delivery at the largest University hospital, in THAILAND. Predicting the rate of maternal morbidity would be advantageous for facilitating preparation and augmenting awareness of complications during the perioperative period.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Retrospective

入排标准

性别
Female
接受健康志愿者

入选标准

  • The patients underwent cesarean delivery with the diagnosis of postpartum hemorrhage (ICD-10 coding O72.1)

排除标准

  • Cesarean delivery at less than 24 weeks of gestation
  • A patient chart that does not contain primary outcome data eg. absence of anesthetic record
  • Blood loss less than 1,000 ml in the first 24 hours postpartum

结局指标

主要结局

The prediction of severe maternal morbidity using obstetric comorbidity index

时间窗: in 72 hours after cesarean delivery

The prediction of severe maternal morbidity using obstetric comorbidity index presented in C-statistic (AUC of ROC)

次要结局

  • Quantity of postpartum hemorrhage(in 24 hours after cesarean delivery)
  • Rate of blood transfusion(in 72 hours after cesarean delivery)
  • Cause of postpartum hemorrhage(in 24 hours after cesarean delivery)
  • Rate of ICU admission(in 24 hours after cesarean delivery)
  • Rate of maternal mortality(in 72 hours after cesarean delivery)
  • Rate of Postoperative complications(in 72 hours after cesarean delivery)
  • Neonatal Apgar score(at 1-minute and 5-minute after delivery)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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