跳至主要内容
临床试验/NCT07344714
NCT07344714招募中不适用

Predicting Respiratory Distress Syndrome in Neonates Delivered in a Lower-Level NICU Setting

Mayo Clinic1 个研究点 分布在 1 个国家目标入组 500 人开始时间: 2026年3月11日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
发起方
Mayo Clinic
入组人数
500
试验地点
1
主要终点
Performance of the algorithmic prediction of the need for prolonged respiratory support, defined as >6 hours of life.

研究概览

简要总结

The purpose of this study is to analyze the gastric fluid aspirated from the stomachs of neonates receiving routine post-delivery care to predict the need for prolonged respiratory support (>6 hours of life).

详细描述

The source of the gastric aspirates will be the medical waste generated through the routine care of neonates whose deliveries are attended by the Mayo Clinic neonatal resuscitation team.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
32 Weeks 至 41 Weeks(Child)
性别
All
接受健康志愿者

入选标准

  • Both of the following:
  • Neonates born at 32 completed weeks gestational age or older whose deliveries are attended by the neonatal resuscitation team and for whom routine gastric suctioning is indicated
  • Neonates whose parents actively accepted or did not actively decline the Minnesota Research Authorization.

排除标准

  • Any one of the following:
  • Neonates with known or suspected congenital anomalies
  • Neonates for whom only comfort measures are planned or possible at time of delivery
  • Neonates whose parents actively declined the Minnesota Research Authorization.
  • Neonates with other identifiable causes of respiratory distress including pneumothorax, meconium aspiration syndrome, or pneumonia.

结局指标

主要结局

Performance of the algorithmic prediction of the need for prolonged respiratory support, defined as >6 hours of life.

时间窗: 1 years

Calculated sensitivity, specificity, positive- and negative-predictive values of the predicted outcomes compared to actual patient outcomes.

Accuracy of algorithmic prediction of negative cases of Respiratory Distress Syndrome

时间窗: 2 years

Total proportion of true negatives as determined by the digital point-of-care device algorithm predicting no diagnosis of Respiratory Distress Syndrome and the clinician does not diagnosis Respiratory Distress Syndrome. Reported as a calculation of # true negatives / (# true negatives + # false negatives).

次要结局

未报告次要终点

研究者

发起方
Mayo Clinic
申办方类型
Other
责任方
Principal Investigator
主要研究者

William A. Carey

Principal Investigator

Mayo Clinic

研究点 (1)

Loading locations...

相似试验