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a Clinical Risk Score to Predict Bloody Stool in Neonates

A

Army Medical University of People's Liberation Army

Status

Withdrawn

Conditions

Necrotizing Enterocolitis
Bloody Stool

Treatments

Other: bloody stool group
Other: non-bloody stool group

Study type

Observational

Funder types

Other

Identifiers

NCT05055817
2020204

Details and patient eligibility

About

Bloody stool is a main focus in non-neonatal intensive care unit ward, and it is one of the risk factors in neonates with subsequent necrotizing enterocolitis(NEC) and usually lead to longed duration of hospitalization.

NEC is one of the most serious disease in the newborn infants, and two and more grades of NEC might lead to surgery, even death. But, it is difficult to predict when the bloody stool comes and develop to two and more grades of NEC.

Full description

NEC is characterized by vomit, abdominal distention, hypoactive bowel sounds and bloody stools, even shock, disseminated intravascular coagulation(DIC) and sepsis. X-ray is shown Intestinal wall gas and/or portal vein pneumatosis and pneumoperitoneum.

Bloody stool in newborn infant is a urgent condition, and neonatologist usually need to predict whether or not two and more grades of NEC it is.

Here, the investigators will develop a score system in one retrospective cohort to predict bloody stool, and the score system is validated in another prospective cohort.

Sex

All

Ages

1 minute to 28 days old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • more than or equal to 35 weeks' gestational age(GA)
  • less than or equal to 28 days
  • non-neonatal intensive care unit ward

Exclusion criteria

  • parents' rejection
  • main congenital malformation

Trial design

0 participants in 2 patient groups

bloody stool group
Description:
bloody stool appear in the hospitalized neonate
Treatment:
Other: bloody stool group
non-bloody stool group
Description:
bloody stool do not appear in the hospitalized neonate
Treatment:
Other: non-bloody stool group

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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