Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
View/Download PDF

Translate this page into:

Original Article
14 (
4
); 650-654
doi:
10.25259/JNRP_246_2023

Correlation of clinical features with neuroimaging in children with mild head injury

Department of Pediatrics, MS Ramaiah Medical College, Bengaluru, Karnataka, India
Corresponding author: Sangeetha Shenoy, Department of Pediatrics, MS Ramaiah Medical College, Bengaluru, Karnataka, India. sangeethashenoy@yahoo.co.in
Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Shenoy S, Patil S, Samaga VV, Ila HS. Correlation of clinical features with neuroimaging in children with mild head injury. J Neurosci Rural Pract 2023;14:650-4.

Abstract

Objectives:

Mild head injury is defined as a pediatric Glasgow Coma Scale (GCS) score of 13–15 at admission following head trauma. There are no clear indications for neuroimaging in such children. The aim of our study was to analyze the correlation of symptoms commonly encountered following mild head injury with any abnormality on the computed tomography (CT) scan.

Materials and Methods:

This is a retrospective and observational study done in a tertiary care hospital. Records of all the children fulfilling the inclusion criteria were retrieved. Demographic details such as age, gender, and type of injury (hit by a blunt object, fall from height, and road traffic accident), symptoms such as presence and number of episodes of vomiting, presence and duration of loss of consciousness (LOC), presence of drowsiness, headache, giddiness, seizures, focal deficits and the GCS score, and CT scan findings were noted in a predesigned proforma. A CT scan with any of the following abnormalities such as skull fracture, cerebral edema, intracranial bleed (epidural hematoma, subdural hematoma, intracerebral hematoma, and subarachnoid hemorrhage), and cerebral contusion was considered as abnormal. Any neurosurgical intervention done was also noted.

Results:

A total of 134 children in the age group of 1 month to 18 years with mild head injury were included in this study. The median (interquartile range) age of the children was 5 (2, 8) years, with majority being males. Road traffic accidents (34.3%) were the most common cause of injury, followed by fall from lesser than 3 feet height (31.3%). The most common symptoms were vomiting (43.6%), scalp/facial abrasions (37.2%), and LOC (31.9%). CT scan was abnormal in 53.7% of the cases, with skull fracture (35.1%) being the most common finding, followed by cerebral edema (13.4%). Among all the symptoms, ear/nosebleed or cerebrospinal fluid (CSF) otorrhea/rhinorrhea had a statistically significant association with a positive CT scan with P = 0.05 and an odds ratio of 1.4 (95% confidence interval, 1–1.9).

Conclusion:

Children with mild head injury presenting with clinical features such as bleeding from the ear or nose and CSF otorrhea/rhinorrhea are more likely to have an abnormal CT scan. Hence, such children require close neurological observation and prompt intervention if necessary. However, abnormality on CT scan cannot be reliably ruled out based on the symptoms alone.

Keywords

Mild head injury
Computed tomography scan
Children
Clinical features

INTRODUCTION

Mild head injury is defined as a pediatric Glasgow Coma Scale (GCS) score of 13–15 at admission following trauma to the head.[1] Such children are usually conscious with a few common symptoms. Although children rarely develop intracranial complications, those who do so can have rapid clinical deterioration. The chances of positive computed tomography (CT) scan finding in mild head injury is 15%, with <1% requiring any neurosurgical intervention.[2] Such children, therefore, pose a dilemma to the attending pediatrician regarding the need to subject these children to a CT scan.

Several clinical decision rules aid in this decision-making, such as Canadian assessment of tomography for childhood head injury,[3] Children’s Head Injury Algorithm for the Prediction of Important Clinical Events,[4] Paediatric Emergency Care Applied Research Network,[5] and National Institute for Health and Care Excellence (NICE)[6] guidelines. The NICE guidelines, updated in 2014, recommend CT scan to be done in any child with presence of risk factors such as suspected non-accidental injury, post-traumatic seizure without history of prior seizures, GCS score of <14 (GCS <15 in an infant), or GCS <15 at 2 h following injury, if suspected open or depressed skull fracture or presence of tense fontanelle. Neuroimaging is also recommended in the presence of signs of basal skull fracture, focal neurological deficit, presence of any bruise, or swelling or laceration of more than 5 cm on the head of an infant. The presence of any of the following clinical symptoms such as loss of consciousness (LOC) >5 min, abnormal drowsiness, and three or more discrete episodes of vomiting also warrants a CT scan according to the guidelines.

Although imaging studies help detect a significant intracranial lesion which will facilitate the clinician regarding prognostication of the injury and discharge, they may expose the patient to radiation which may be a slight risk for cancer.[7] In addition, neuroimaging adds to the financial burden and there are also issues with availability in remote areas in developing countries. At present, there are no clear-cut guidelines that are followed for neuroimaging among children with head injury in most countries. Hence, there is a need to identify symptoms that can predict clinically significant CT scan findings among children with a mild head injury.

This study aims to analyze the association of common clinical symptoms as per NICE guidelines with CT scan findings in children with mild head trauma. This study may help guide practitioners to judiciously advise CT scans in children with mild head injury, especially in resource-limited settings and help to reduce exposure to radiation.

MATERIALS AND METHODS

A retrospective and observational study was conducted in a tertiary health-care center after obtaining clearance from the Institutional Ethics Committee. Children in the age range of 1 month to 18 years with mild head injury presenting to the hospital during the study period between January and December 2022, in whom CT scan reports were available, were included in the study. Records of all the children fulfilling the inclusion criteria were retrieved. Demographic details such as age, gender, and clinical data such as type of injury (hit by a blunt object, fall from height, and road traffic accident), presence and frequency of vomiting, period of LOC if present, presence of drowsiness, headache, and giddiness if any were also noted. History of seizures, presence of focal deficits, and the GCS score were recorded in a predesigned proforma. The CT scan findings were noted and the report was considered abnormal if any of the following such as fracture of skull, cerebral edema, epidural, subdural and intracerebral hematoma, cerebral contusion, and subarachnoid hemorrhage were present. Neurosurgical intervention if done was also noted.

Statistical methods

Qualitative variables like gender are expressed using frequency and percentage. Continuous variables like age are expressed using mean and standard deviation. An Independent Student’s t-test was employed to compare the mean age between the normal and abnormal groups of CT scan results. The Chi-square test was used to assess the association of gender, presence of symptoms, and type of injury between the two groups. Analysis was done using SPSS. Inc. for Windows version 18.0 released in 2009. P < 0.05 was considered statistically significant.

RESULTS

A total of 134 children presented with mild head injury during the period of the study. The median (interquartile range) age was 5 (2, 8) years. The demographic profile of the children is given in [Table 1]. The children were predominantly male, with a M: F ratio of 1.8:1.

Table 1: Demographic profile of children.
Characteristics n=134 n(%)
Age in years Median (IQR) 5 (2, 8)
Gender
  Male 71 (64.5)
  Female 39 (35.5)
Cause of injury
  Hit by blunt object 9 (6.7)
  Fall from height ≥3 feet 37 (27.6)
  Fall from height < 3 feet 42 (31.3)
  RTA 46 (34.3)
Symptoms
  Any symptom 101 (91.8)
Vomiting
  ≥3 episodes 34 (25.4)
  <3 episodes 26 (19.4)
Loss of consciousness
  ≥5 min 25 (18.7)
  <5 min 13 (9.7)
  Abrasions 49 (36.6)
  Ear/nosebleed or CSF otorrhea/rhinorrhea 27 (20.1)
  Headache 16 (11.9)
  Seizures 12 (9)
  Drowsiness 10 (7.5)
  Giddiness 3 (2.2)
  Focal deficit 2 (1.5)
GCS
  15 125 (93.3)
  14 4 (3)
  13 5 (3.7)
CT Brain scan finding
  Normal 62 (46.3)
  Abnormal 72 (53.7)
  Fracture 47 (35.1)
  Edema 18 (13.4)
  EDH 13 (9.7)
  SDH 9 (6.7)
  Contusion 7 (5.2)
  SAH 4 (3)
  ICH 6 (4.5)

IQR: Interquartile range, RTA: Road traffic accident, GCS: Glasgow coma scale, EDH: Epidural hematoma, SDH: Subdural hematoma, SAH: Subarachnoid hemorrhage, ICH: Intracerebral hemorrhage

The most common cause of injury present in 34.3% of the cases was road traffic accidents, followed by fall from a height of < 3 feet (31.3%). Majority of the children (92.7%) presented with a GCS of 15. The common symptoms were vomiting in 43.6%, abrasions on the head/face in 37.3%, LOC in 31.9%, and ear/nosebleed or cerebrospinal fluid (CSF) otorrhea/rhinorrhea in 21.9%. An abnormal CT scan was seen in 53.7% (n = 72), of which the most common abnormality was skull fracture (35.1%, n = 47), followed by cerebral edema (13.4%, n = 18). Four children required neurosurgical intervention.

Among the clinical symptoms, ear/nosebleed or CSF otorrhea/rhinorrhea had a statistically significant association with an abnormal CT scan with P = 0.05 and an odds ratio (OR) of 1.4 (95% confidence interval [CI], 1–1.9) [Table 2]. Other symptoms such as drowsiness, headache, focal deficits, and vomiting (>3 episodes) had a high OR for an abnormal radiologic report, but none was statistically significant. The presence of vomiting and abrasions together was the most common combination of symptoms, but did not have statistically significant correlation with the CT scan findings.

Table 2: Comparison of symptoms between normal and abnormal neuroimaging.
Characteristics Total (n=134) Normal CT scan (n=62) Abnormal CT scan (n=72) OR (95% CI) P-value
Age (years) median (IQR) 5 (2, 8) 4 (2, 7.5) 5 (2.6, 8.7) 0.2
Gender n(%)
  Male 87 41 (47.1) 46 (52.3) 0.9 (0.7−1.3) 0.772
  Female 47 21 (44.7) 26 (55.3) 1.1 (0.7−1.9)
Type of injury
  Hit by blunt object 9 4 (44.4) 5 (55.6)
  Fall from ≥3 feet 37 15 (40.5) 22 (59.5)
  Fall from <3 feet 42 23 (54.8) 19 (45.2)
  RTA 46 20 (43.5) 26 (56.5)
  Presence of any symptom 121 55 (45.5) 66 (54.5) 1.2 (0.6−2.2) 0.564
Vomiting
  ≥3 episodes 34 14 (41.2) 20 (58.8) 1.1 (0.8−1.6) 0.491
  <3 episodes 26 12 (46.2) 14 (53.8) 1 (0.7−1.5) 0.99
LOC
  ≥5 min 25 13 (52) 12 (48) 0.8 (0.6–1.4) 0.524
  <5 min 13 6 (46.2) 7 (53.8) 1 (0.6–1.7) 0.993
Abrasions 49 26 (53.1) 23 (46.9) 0.8 (0.6–1.2) 0.231
Ear/nosebleed or CSF
otorrhea/rhinorrhea 27 8 (29.6) 19 (70.4) 1.4 (1–1.9) 0.05
Both abrasions and any of ear/nosebleed or CSF otorrhea/rhinorrhea 5 1 (20) 4 (80) 1.5 (1–2.4) 0.23
Seizures 12 7 (58.3) 5 (41.7) 0.8 (0.4–1.5) 0.38
Focal deficits 2 0 2 (100) 1.9 (1.6–22) 0.186
Drowsiness 10 3 (30) 7 (70) 1.3 (0.9–2.1) 0.283
Headache 16 6 (37.5) 10 (62.5) 1.2 (0.8–1.8) 0.453
Giddiness 3 2 (66.7) 1 (33.3) 0.6 (0.1–3) 0.474

RTA: Road traffic accident, LOC: Loss of consciousness, OR: Odds ratio, CI: Confidence interval, CSF: Cerebrospinal fluid

Neuroimaging was indicated in 120 out of the 134 cases according to the NICE guidelines, out of which CT scan abnormality was seen in 68 cases. An abnormal CT scan would be missed in four cases that did not satisfy the NICE guidelines indication for neuroimaging. However, none of those cases required neurosurgical intervention. Having a positive indication for CT scan according to the NICE guidelines had an OR of 1.9 (95% CI: 0.9–4.6, P = 0.046) for detecting an abnormality.

DISCUSSION

Children presenting to the casualty with mild head injury pose a dilemma to the attending pediatrician regarding the need for a CT scan. During a 12-month follow-up of children with mild head injury, it was found that neuropsychological improvement was related with abnormal CT.[8] It was also found that performance in cognitive domains was poorer in children with abnormal CT as opposed to those with normal or linear skull fracture on CT scan.[8] On the other hand, the radiation from the CT scan may carry a marginal risk for cancer.[7] Many children with history of mild head injury are hospitalized for neurologic observation even though they have a normal CT scan, which may not be required.[9] Hence, the benefits must outweigh these small absolute risks to justify using a CT scan. We attempted to find any correlation between the standard clinical features and abnormality in the CT scan.

The cases were predominantly males, as seen in other studies.[10,11] Road traffic accident (RTA) and fall from height formed the principal mechanism of head injury in our study. Similar observations were made in other studies[12-14] on head injury in pediatric patients. Children are common among pedestrians who form a significant group involved in injury during an RTA.[15] Children have relatively larger and heavier heads than the rest of the body. With increasing motor ability and the head being the center of gravity in children, any fall directly impacts the head. Hence, the chance of injury to the head is more in any form of trauma.

The predominant symptoms in our study were vomiting followed by scalp and facial abrasions and LOC. Headache, scalp hematoma, and nausea with or without vomiting were the three main symptoms in one study.[11] In contrast, vomiting, LOC, and ear/nose bleeding were the chief symptoms in another study.[10]

Positive findings in CT scan were seen in 50% of the cases, with skull fracture being the predominant finding, followed by epidural hematoma (EDH) in a study.[11] This was similar to our CT scan results. Another study also observed similar results with EDH and fracture hematoma as common findings on neuroimaging.[16] The higher incidence of abnormality in CT scan in our study is probably because only cases in which neuroimaging was done were included.

On analyzing the symptoms, it was found that those presenting with features such as ear/nosebleed and CSF otorrhea/ rhinorrhea were more likely to have an abnormality on a CT scan. In another similar study[15] where clinical features were compared between normal and abnormal CT scans, ear and nose bleeds had the highest OR for an abnormal CT scan. However, it was not found to be statistically significant. Scalp hematoma, nausea with or without vomiting, and ear/ nose bleeds or soft-tissue contusion in the periorbital region were found to have independent association with abnormality on CT scan in children with mild traumatic brain injury and GCS of 15.[11] Absence of vomiting, headache, scalp hematoma, clinical signs suggestive of fracture of the skull, and abnormality in mental status identified children at low risk for traumatic brain injuries on CT scans following blunt head trauma in another study.[17] Differences in study settings and inclusion criteria are probably the reasons for this variance in the risk factors.

Our study has certain limitations, one being that it is a retrospective study. Second, we included only inpatients who underwent CT scans. Further studies on prospectively collected data on all minor head injuries would help identify those clinical symptoms that can be predictors of abnormal neuroimaging.

CONCLUSION

A child following mild head injury presenting with signs of fracture of the base of the skull such as bleeding from the ear or nose and CSF otorrhea/rhinorrhea should be advised a CT scan by the attending pediatrician as it is more likely to be abnormal. Hence, such children require close neurological observation and prompt intervention if necessary. However, abnormality on CT scan cannot be reliably ruled out based on the symptoms alone.

Declaration of patient consent

The authors certify that they have obtained all appropriate consent.

Conflicts of interest

There are no conflicts of interest.

Use of Artificial Intelligence (AI)-Assisted Technology for manuscript preparation

The author(s) confirms that there was no use of Artificial Intelligence (AI)-Assisted Technology for assisting in the writing or editing of the manuscript and no images were manipulated using the AI.

Financial support and sponsorship

Nil.

References

  1. , , , , , , et al. Methodological issues and research recommendations for prognosis after mild traumatic brain injury: Results of the international collaboration on mild traumatic brain injury prognosis. Arch Phys Med Rehabil. 2014;95:S265-77.
    [CrossRef] [PubMed] [Google Scholar]
  2. , . Mild traumatic brain injury. Mt Sinai J Med. 2009;76:129-37.
    [CrossRef] [PubMed] [Google Scholar]
  3. , , , , , , et al. CATCH: A clinical decision rule for the use of computed tomography in children with minor head injury. CMAJ. 2010;182:341-8.
    [CrossRef] [PubMed] [Google Scholar]
  4. , , , , , , et al. Derivation of the children's head injury algorithm for the prediction of important clinical events decision rule for head injury in children. Arch Dis Child. 2006;91:885-91.
    [CrossRef] [PubMed] [Google Scholar]
  5. , , , , , , et al. Identification of children at very low risk of clinically-important brain injuries after head trauma: A prospective cohort study. Lancet. 2009;374:1160-70.
    [CrossRef] [PubMed] [Google Scholar]
  6. . Triage, Assessment, Investigation and Early Management of Head Injury in Infants, Children and Adults. Clinical Guideline 4 In: Developed by the National Collaborating Centre for Acute Care. London: NICE; .
    [Google Scholar]
  7. , , , , , , et al. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: A retrospective cohort study. Lancet. 2012;380:499-505.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , , , , et al. Prediction of cognitive sequelae based on abnormal computed tomography findings in children following mild traumatic brain injury. J Neurosurg Pediatr. 2008;1:461-70.
    [CrossRef] [PubMed] [Google Scholar]
  9. , , , , , , et al. Do children with blunt head trauma and normal cranial computed tomography scan results require hospitalization for neurologic observation? Ann Emerg Med. 2011;58:315-22.
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , , . Can an abnormal CT scan be predicted from common symptoms after mild head injury in children? J Pediatr Neurosci. 2013;8:183-7.
    [CrossRef] [PubMed] [Google Scholar]
  11. , , . Risk factors for positive brain CT scan in children with traumatic brain injury and GCS = 15: A retrospective study. Medicine (Baltimore). 2021;100:e24543.
    [CrossRef] [PubMed] [Google Scholar]
  12. , , , . Epidemiology of pediatric head trauma in guilan. Arch Trauma Res. 2012;1:19-22.
    [CrossRef] [PubMed] [Google Scholar]
  13. , , , , , , et al. Intensive care management of head-injured patients in Europe: A survey from the European brain injury consortium. Intensive Care Med. 2001;27:400-6.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , , , , et al. Head injury from falls in children younger than 6 years of age. Arch Dis Child. 2015;100:1032-7.
    [CrossRef] [PubMed] [Google Scholar]
  15. , , , , , . A review of pedestrian traffic fatalities. J Indian Acad Forensic Med. 2007;29:55-8.
    [Google Scholar]
  16. , , , , , . Epidemiological and clinico-radiological evaluation of head injury in pediatric population. J Pediatr Neurosci. 2020;15:386-92.
    [CrossRef] [PubMed] [Google Scholar]
  17. , , , , , , et al. A decision rule for identifying children at low risk for brain injuries after blunt head trauma. Ann Emerg Med. 2003;42:492-506.
    [CrossRef] [PubMed] [Google Scholar]
Show Sections