Establishment and Evaluation of Prenatal Prevention and Treatment Strategy for NARDS
Status:
Not yet recruiting
Trial end date:
2025-12-31
Target enrollment:
Participant gender:
Summary
1. A predictive model for NARDS was established based on perinatal risk factors.
Multivariate Logistic regression analysis was used to screen the independent prenatal
risk factors for NARDS. A Logistic regression model was constructed using the above
independent risk factors and quantified in a nomogram to construct a visualization model
for prenatal prediction of NARDS.
2. The role of ACS in the prevention and treatment of ARDS in near-term/full-term infants.
For neonates with a probability greater than 80% in the prediction model of ARDS, at least
one ACS was given before the termination of pregnancy. The GC level of cord blood (taken at
birth) and the mRNA levels of α-ENaC, Na-K-atpase and SGK1 in nasal epithelium were measured
within 2 hours and 1 day after birth in the ACS intervention group and the control group. The
occurrence and severity of pulmonary edema, the occurrence and severity of ARDS, and the
mortality rate of NARDS were evaluated by lung ultrasound. The indexes of the two groups were
compared horizontally and longitudinally.
Phase:
N/A
Details
Lead Sponsor:
The Second Affiliated Hospital of Chongqing Medical University
Collaborators:
Children's Hospital of Chongqing Medical University Chongqing Medical Center for Women and Children University-Town Hospital of Chongqing Medical University