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