Development of the CIDSS2 Score for Children with Mild Head Trauma without Intracranial Injury

Jacob K Greenberg1, Yan Yan2, Christopher R Carpenter3

  • 11 Department of Neurological Surgery, Washington University School of Medicine in St. Louis , St. Louis, Missouri.

Insights

A new risk score, CIDSS2, helps identify children with mild traumatic brain injury (mTBI) who need hospital admission. This tool aids physicians in deciding which mTBI patients require extended inpatient management, improving care decisions.

Area of Science:

  • Pediatric Emergency Medicine
  • Neurotrauma Research
  • Clinical Decision Support Systems

Background:

  • Most children with mild traumatic brain injury (mTBI) without intracranial injury (ICI) are discharged from the emergency department.
  • However, a significant number of these children are admitted to the hospital, necessitating better decision-making tools.

Purpose of the Study:

  • To develop and validate a clinical decision tool to guide hospital admission decisions for children with mTBI without ICI.
  • To identify key risk factors associated with extended inpatient management (EIM) in this patient population.

Main Methods:

  • Secondary analysis of a prospective study involving 14,323 children under 18 with head injuries (Glasgow Coma Scale 13-15) and normal CT scans or non-depressed skull fractures.
  • Development of a multivariable model to predict EIM (≥2 nights hospitalization), leading to the creation of the CIDSS2 risk score.

Main Results:

  • Only 0.76% of children with mTBI without ICI required EIM, despite 20% being admitted.
  • Key predictors for EIM included Glasgow Coma Scale score <15, drug/alcohol intoxication, neurological deficit, seizure, and skull fracture.
  • The CIDSS2 score demonstrated strong predictive performance (C-statistic=0.86) across different age groups.

Conclusions:

  • The CIDSS2 risk score is a validated tool for identifying children with mTBI without ICI who are at higher risk for EIM.
  • This tool can assist physicians in making more informed hospital admission decisions, potentially reducing unnecessary admissions.

Related Concept Videos

Introduction to z Scores01:06

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
11.2K
Introduction to z Scores01:05

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
1.4K
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
19.6K
z Scores and Unusual Values01:07

z Scores and Unusual Values

The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
 This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
11.0K
Muscles that Move the Head01:19

Muscles that Move the Head

The muscles that move the head are a dynamic and complex group of structures that work together to facilitate a wide range of head movements, including rotation, flexion, extension, and lateral bending.
The bilateral sternocleidomastoid, or SCM, and the suprahyoid and infrahyoid muscles are significant head flexors. The SCM muscles originate at the sternum and clavicle and attach to the mastoid process of the temporal bone. The SCM contracts bilaterally to bend the head forward, whereas...
6.0K
Arteries of the Head and Neck01:26

Arteries of the Head and Neck

The human body's intricate network of arteries ensures that every organ system receives the necessary oxygen and nutrients for optimal function. The arterial network in the head and neck region is particularly complex, providing vital blood flow to the brain, eyes, and other critical structures. Prominent arteries in this region include the internal carotid arteries and the vertebral arteries.
The internal carotid arteries supply blood to the anterior portion of the cerebrum. They enter the...
3.3K