Early Labor clinical trials at UCSD
4 in progress, 2 open to eligible people
Periviable GOALS Decision Support Tool
open to eligible people ages 18 years and up
The Periviable GOALS (Getting Optimal Alignment around Life Support) decision support tool (DST) is meant to facilitate informed shared decision-making regarding neonatal resuscitation for families facing the threat of a periviable delivery (deliveries occurring between 22 0/7 - 25 6/7 weeks gestational age). It is designed for parents to review independent of their clinician, and is intended to supplement, not replace, clinician counseling. The focus of the DST is the provision of patient-centered outcomes information and assistance with values clarification regarding neonatal outcomes. This is a multisite, randomized controlled trial to test the effect of the Periviable GOALS DST on shared decision making and decision satisfaction. The investigators hypothesize that participants who utilize the GOALS DST will have improved shared decision making and higher decision satisfaction.
San Diego, California and other locations
Inventory of Neonatal-Perinatal Interventions (MINI) Minimum Dataset
open to eligible people ages 0-1
The goal of the Tiny Baby Collaborative Multicenter Inventory of Neonatal-Perinatal Interventions (MINI) minimum dataset is to serve as a registry detailing the outcomes and practices for all deliveries and infants admitted to intensive care at 22-23 weeks' gestation at participating hospitals.
San Diego, California and other locations
Prematurity Risk Assessment Combined With Clinical Interventions for Improving Neonatal outcoMEs
Sorry, in progress, not accepting new patients
This prospective, randomized, controlled study evaluates the safety and efficacy of a preterm birth (PTB) prevention strategy versus standard of care pregnancy management to reduce the incidence of adverse pregnancy outcomes.
San Diego, California and other locations
MIRACLE of LIFE Study
Sorry, in progress, not accepting new patients
The goal of this observational study is to develop and validate cell-free RNA-based biomarkers for predicting a variety of adverse pregnancy outcomes in a pregnant person population. The main question it aims to answer are: 1. Can cell-free RNA-based biomarkers predict which pregnant people are at greatest risk of developing adverse pregnancy outcomes (e.g., preterm birth, preeclampsia)? 2. What is the performance of such biomarkers when predicting an adverse pregnancy outcome (e.g., sensitivity, specificity, PPV, NPV, TPR)?
San Diego, California and other locations
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