Skip to main content
JAMA Network logoLink to JAMA Network
. 2021 Jun 2;156(8):e212058. doi: 10.1001/jamasurg.2021.2058

Factors Associated With Functional Impairment After Pediatric Injury

Randall S Burd 1,, Aaron R Jensen 2, John M VanBuren 3, Rachel Richards 3, Richard Holubkov 3, Murray M Pollack 4; and the Eunice Kennedy Shriver National Institute of Child Health and Human Development Collaborative Pediatric Critical Care Research Network Assessment of Health-Related Quality of Life and Functional Outcomes After Pediatric Trauma Investigators, Robert A Berg 5, Joseph A Carcillo 6, Todd C Carpenter 7, J Michael Dean 3, Barbara Gaines 8, Mark W Hall 9, Patrick S McQuillen 10, Kathleen L Meert 11,12, Peter M Mourani 13, Michael L Nance 14, Andrew R Yates 15
PMCID: PMC8173466  PMID: 34076684

This cohort study assesses whether certain categories of injury among youths are associated with higher prevalence of functional impairment after hospital discharge and estimated the number of children and adolescents with injuries in these categories who received treatment at pediatric trauma centers.

Key Points

Question

Are certain categories of injury associated with higher prevalence of functional impairment among children and adolescents at hospital discharge?

Findings

In this cohort study, 17.3% of seriously injured children and adolescents had functional impairment at hospital discharge. After adjusting for oversampled injuries, the prevalence of functional impairment at discharge among all patients admitted for serious injuries at participating centers was 14.4%, with this prevalence being highest among patients with extremity injuries and severe traumatic brain injuries.

Meaning

The findings suggest that functional status assessments can be limited to cohorts of injured children and adolescents at the highest risk for impairment.

Abstract

Importance

Short- and long-term functional impairment after pediatric injury may be more sensitive for measuring quality of care compared with mortality alone. The characteristics of injured children and adolescents who are at the highest risk for functional impairment are unknown.

Objective

To evaluate categories of injuries associated with higher prevalence of impaired functional status at hospital discharge among children and adolescents and to estimate the number of those with injuries in these categories who received treatment at pediatric trauma centers.

Design, Setting, and Participants

This prospective cohort study (Assessment of Functional Outcomes and Health-Related Quality of Life After Pediatric Trauma) included children and adolescents younger than 15 years who were hospitalized with at least 1 serious injury at 1 of 7 level 1 pediatric trauma centers from March 2018 to February 2020.

Exposure

At least 1 serious injury (Abbreviated Injury Scale score, ≥3 [scores range from 1 to 6, with higher scores indicating more severe injury]) classified into 9 categories based on the body region injured and the presence of a severe traumatic brain injury (Glasgow Coma Scale score <9 or Glasgow Coma Scale motor score <5).

Main Outcomes and Measures

New domain morbidity defined as a 2 points or more change in any of 6 domains (mental status, sensory, communication, motor function, feeding, and respiratory) measured using the Functional Status Scale (FSS) (scores range from 1 [normal] to 5 [very severe dysfunction] for each domain) in each injury category at hospital discharge. The estimated prevalence of impairment associated with each injury category was assessed in the population of seriously injured children and adolescents treated at participating sites.

Results

This study included a sample of 427 injured children and adolescents (271 [63.5%] male; median age, 7.2 years [interquartile range, 2.5-11.7 years]), 74 (17.3%) of whom had new FSS domain morbidity at discharge. The proportion of new FSS domain morbidity was highest among those with multiple injured body regions and severe head injury (20 of 24 [83.3%]) and lowest among those with an isolated head injury of mild or moderate severity (1 of 84 [1.2%]). After adjusting for oversampling of specific injuries in the study sample, 749 of 5195 seriously injured children and adolescents (14.4%) were estimated to have functional impairment at hospital discharge. Children and adolescents with extremity injuries (302 of 749 [40.3%]) and those with severe traumatic brain injuries (258 of 749 [34.4%]) comprised the largest proportions of those estimated to have impairment at discharge.

Conclusions and Relevance

In this cohort study, most injured children and adolescents returned to baseline functional status by hospital discharge. These findings suggest that functional status assessments can be limited to cohorts of injured children and adolescents at the highest risk for impairment.

Introduction

More than 100 000 children annually are admitted to trauma centers in the US, with almost half having a serious injury.1,2 Up to 40% of these children have a residual functional impairment 1 month after injury.3 Despite the frequency of acquired disability, evaluating care in this population depends mainly on mortality assessment.4,5 The percentage of children with a serious injury not surviving to discharge is low; thus, mortality is limited as a metric for assessing quality of care.2 Measures that are more granular than mortality are needed as health care quality indicators for injured children.

Despite this need for more granular measures of quality, several factors have limited the assessment of functional status as standard practice at trauma centers, including a lack of consensus regarding the optimal measure and the required resources for obtaining assessments.6 A single method for functional status assessment has not been identified for children with a range of injury types or multiple injuries,6,7 with current assessments usually focused on single injury types, such as traumatic brain injury.8,9 Studies reporting functional outcomes in children with injuries to multiple body regions have had small samples, have not evaluated those treated outside the intensive care unit (ICU), or have excluded populations such as infants.3,10,11

This study aimed to (1) identify categories of injuries among children and adolescents that are associated with higher prevalence of functional impairment at hospital discharge and (2) estimate the number of children and adolescents with injuries in these categories who received treatment at pediatric trauma centers. We conducted a 2-year, multicenter study evaluating functional status at hospital discharge in a sample of children and adolescents hospitalized for at least 1 serious injury. We applied these results to the trauma populations at the participating sites to estimate the overall prevalence of functional impairment. We hypothesized that the change in functional status from preinjury baseline to hospital discharge would be associated with the body regions injured and the number of body regions injured.

Methods

Study Overview

This prospective cohort study (Assessment of Functional Outcomes and Health-Related Quality of Life After Pediatric Trauma) was performed from March 2018 to February 2020 at 7 sites participating in the National Institutes of Health–funded Collaborative Pediatric Critical Care Research Network. Each site is a designated level 1 pediatric trauma center. The institutional review board at the University of Utah approved this study through a central mechanism. Written informed consent for participation was attained from parents or guardians of the patients. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Enrollment

Children and adolescents injured by a blunt or penetrating mechanism who survived to discharge were eligible if treated for a serious, severe, or critical injury (Abbreviated Injury Scale score, ≥3 [scores range from 1 to 6, with higher scores indicating more severe injury]) in a major body region (head, thorax, abdomen, spine, or upper or lower extremity). We included only individuals younger than 15 years because the individuals in this age group were the most frequently seen at the trauma centers at all sites. We excluded patients with burn injuries because of their unique functional outcomes12 as well as children and adolescents with caregivers who did not speak English or Spanish to ensure the applicability of surveys and assessments.

We used an enrollment approach that promoted sampling of children and adolescents with less commonly injured body regions and injuries in more than 1 body region. All patients meeting eligibility criteria were considered. Potential participants were distributed into predefined enrollment categories based on (1) the body region or regions with a severe injury (head, extremity, thorax, abdomen, and spine) and (2) the presence of severe injury in 1 or more body region. The first 5 enrollment categories were used for patients with 1 or more serious injury in only 1 of the 5 body regions (ie, single body region). The remaining 5 enrollment categories were used for those with a serious injury in more than 1 body region (ie, multiple body regions). These 5 multiple-injury categories were labeled with each body region. When a patient had injuries to multiple body regions, we identified which body region had the lowest relative prevalence of injuries, with the lowest being the spine followed by the thorax, abdomen, extremities, and head.2 We then assigned the patient to the multiple-injury category labeled with the body region with the lowest prevalence of injuries. For example, a child or adolescent with a serious injury in the head and spine regions was placed in the spine multiple-injury category because spine injuries are less frequent than head injuries. Every 3 months, enrollment was adjusted across all sites to enhance sampling. Enrollment targets were 50 patients per site per year, with a goal of 70% of participants with 1 injured body region and 30% with multiple injured body regions.

Data Collection

Research coordinators were trained centrally to ensure consistent enrollment, data collection practices, and outcome measurement. A data coordinating center monitored enrollment, validated collated data, and conducted statistical analyses. Self-reported race/ethnicity and insurance status of the participants were obtained from parents or guardians. We identified preinjury comorbidities using the medical record (eAppendix 1 in the Supplement). Discharge disposition was grouped as going home with parents or guardians, to foster care, to an inpatient rehabilitation facility, to a long-term care or skilled nursing facility, or to another acute care hospital. Additional data were obtained from the trauma registry, including injury type (blunt vs penetrating) and mechanism, initial systolic blood pressure and heart rate, initial Glasgow Coma Scale (GCS) score, and ICU and hospital length of stay. Child physical abuse was designated as the mechanism regardless of other assignments. Owing to inconsistencies and lack of standardization of International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes or external cause codes for child abuse in trauma registries, we used medical record review to assess for an abuse mechanism.13 Child physical abuse was designated by research coordinators if health care professional, child advocacy team, or social work records showed that it was suspected to be the primary mechanism of injury. Blood pressure and heart rate were standardized to z scores using age-based means and SDs.14,15,16

The Functional Status Scale (FSS) was used for assessments before injury and at discharge, and the Pediatric Cerebral Performance Category (PCPC) and Pediatric Overall Performance Category (POPC) scales were used at discharge. These measures were acquired using the medical record as well as parent or guardian and clinical care team interviews. The FSS is a validated, rapidly performed, and age-independent objective measure applicable for large-scale studies of critically ill children.17 The FSS assesses function in 6 domains: mental status, sensory, communication, motor, feeding, and respiratory. Scores range from 1 (normal) to 5 (very severe dysfunction) for each domain. The overall FSS scores range from 1 to 30; less than 8 is considered normal, whereas a score of 8 or 9 indicates mild impairment and a score greater than 9 indicates moderate or greater impairment. The POPC and PCPC scales are rapidly performed, subjective assessments applicable to large-scale studies.18 Scores range from 1 to 5, with scores greater than 2 indicating more than mild impairment.

Statistical Analysis

The primary outcome was a change of 2 or more in any FSS domain between preinjury and discharge status (ie, new domain morbidity); this change indicates marked new impairment.19 Secondary outcomes included discharge POPC and PCPC scale scores. We placed each patient into 1 of 9 injury categories based on (1) the body region injured, (2) whether single or multiple body regions were injured, and (3) the severity of the head injury when applicable. We used a GCS total score less than 9 or a GCS motor score less than 5 to define severe head injury. We classified head injuries with a missing GCS value as severe because of associations of missingness with abnormal GCS and mortality.20 The 9 injury categories included (1) multiple body regions including a severe head injury, (2) multiple body regions with a less than severe head injury, (3) multiple body regions excluding the head, (4) isolated severe head injury, (5) isolated less than severe head injury, (6) isolated thoracic injury, (7) isolated abdominal injury, (8) isolated spinal injury, and (9) isolated extremity injury.

Estimates of impairment among seriously injured children at the sites were calculated using the number of children and adolescents in each injury category in the trauma registry and the percentage of impairment associated with each category among the sampled patients. We performed univariate comparisons using the χ2 and Wilcoxon rank sum tests. Logistic regression assessing new domain morbidity at discharge used the 9 injury categories, demographic variables (age, race/ethnicity, and insurance status), physiological measures (systolic blood pressure, heart rate), injury type (blunt or penetrating), child physical abuse, and study site. We selected covariates for multivariate modeling a priori based on assessment of the potential for influencing functional outcomes based on a literature review and domain knowledge. We used inverse probability weights to allow inferences for the population of children in the trauma registry. To address missing data (Table 1 and Table 2), we imputed 10 data sets using chained regressions under the assumption of a missing-at-random pattern, combining results using standard techniques.21,22 To make comparisons between all possible pairs of injury categories, we varied the injury category used as the reference group in the multivariate model. We then constructed a matrix representing the odds ratios (ORs) using different reference and comparison injury categories. Using these pairwise ORs, we ranked the risk of new domain morbidity among injury categories. We defined significance at 2-sided P < .05. Analyses were performed used SAS, version 9.4 (SAS Institute Inc).

Table 1. Associations of New Domain Morbidity With Demographic and Baseline Characteristics.

Characteristic Patients, No. (%)a P valueb
Overall (N = 427) No new domain morbidity (n = 353) New domain morbidity (n = 74)
Age group, y
<1 64 (15.0) 53 (15.0) 11 (14.9) .77
1-4 102 (23.9) 81 (22.9) 21 (28.4)
5-9 111 (26.0) 94 (26.6) 17 (23.0)
10-14 150 (35.1) 125 (35.4) 25 (33.8)
Sex
Male 271 (63.5) 227 (64.3) 44 (59.5) .43
Female 156 (36.5) 126 (35.7) 30 (40.5)
Race
White 277 (64.9) 235 (66.6) 42 (56.8) .13
Black 95 (22.2) 72 (20.4) 23 (31.1)
Otherc 54 (12.6) 45 (12.7) 9 (12.2)
Missingd 1 (0.2) 1 (0.3) 0
Ethnicity
Hispanic or Latino 49 (11.5) 40 (11.3) 9 (12.2) .81
Not Hispanic or Latino 376 (88.1) 312 (88.4) 64 (86.5)
Missingd 2 (0.5) 1 (0.3) 1 (1.4)
Insurance
Private or commercial 188 (44.0) 155 (43.9) 33 (44.6) .95
Medicaid or Medicare 198 (46.4) 162 (45.9) 36 (48.6)
Self-pay or no insurance 12 (2.8) 10 (2.8) 2 (2.7)
>1 Type 11 (2.6) 10 (2.8) 1 (1.4)
Other 14 (3.3) 12 (3.4) 2 (2.7)
Missingd 4 (0.9) 4 (1.1) 0
FSS at baseline by categorye
6 or 7 414 (97.0) 342 (96.9) 72 (97.3) .85
>7 13 (3.0) 11 (3.1) 2 (2.7)
Underlying medical conditions
None 361 (84.5) 297 (84.1) 64 (86.5)
Asthma 13 (3.0) 10 (2.8) 3 (4.1) .85
Cardiovascular diseasef 3 (0.7) 3 (0.8) 0
Neurologic diseaseg 6 (1.4) 5 (1.4) 1 (1.4)
Otherh 44 (10.3) 38 (10.8) 6 (8.1)

Abbreviation: FSS, Functional Status Scale.

a

Percentages may not add to 100% because of rounding.

b

Determined using the χ2 test or Wilcoxon rank sum test.

c

Included American Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, more than 1 race, and other.

d

Not included in the χ2 or Wilcoxon tests.

e

An overall FSS score of 6 or 7 indicated normal function and more than 7 indicated abnormal function.

f

Arrhythmias or congenital cardiovascular disease.

g

Seizure disorders and other neurologic disease.

h

Other underlying medical conditions are given in eTable 1 in the Supplement.

Table 2. Associations of New Domain Morbidity With Injury Characteristics and Outcomes.

Characteristic Patientsa P valueb
Overall (N = 427) No new domain morbidity (n = 353) New domain morbidity (n = 74)
Injury category
Multiple, including severe head injury 24 (5.6) 4 (1.1) 20 (27.0) <.001
Multiple, including nonsevere head injury 13 (3.0) 9 (2.5) 4 (5.4)
Multiple, excluding head injury 36 (8.4) 26 (7.4) 10 (13.5)
Isolated severe head injury 23 (5.4) 16 (4.5) 7 (9.5)
Isolated nonsevere head injury 84 (19.7) 83 (23.5) 1 (1.4)
Isolated thoracic injury 30 (7.0) 26 (7.4) 4 (5.4)
Isolated abdominal injury 81 (19.0) 78 (22.1) 3 (4.1)
Isolated spinal injury 21 (4.9) 15 (4.2) 6 (8.1)
Isolated extremity injury 115 (26.9) 96 (27.2) 19 (25.7)
Body regions with an AIS≥3, No.c
1 354 (82.9) 314 (89.0) 40 (54.1) <.001
2 46 (10.8) 32 (9.1) 14 (18.9)
>2 27 (6.3) 7 (2.0) 20 (27.0)
Injury type
Blunt 380 (89.0) 317 (89.8) 63 (85.1) .45
Penetrating 17 (4.0) 13 (3.7) 4 (5.4)
Missingd 30 (7.0) 23 (6.5) 7 (9.5)
Mechanism of injury
Child physical abuse 45 (10.5) 37 (10.5) 8 (10.8) <.001
Penetrating 11 (2.6) 7 (2.0) 4 (5.4)
Fall 125 (29.3) 117 (33.1) 8 (10.8)
Motor vehicle collision occupant 77 (18.0) 52 (14.7) 25 (33.8)
Pedestrian 30 (7.0) 20 (5.7) 10 (13.5)
Transport, other or motorcycle 20 (4.7) 17 (4.8) 3 (4.1)
Pedal cyclist 23 (5.4) 23 (6.5) 0
Struck by or against 31 (7.3) 27 (7.6) 4 (5.4)
Other 15 (3.5) 13 (3.7) 2 (2.7)
Missingd 50 (11.7) 40 (11.3) 10 (13.5)
Initial systolic blood pressuree
Normal 379 (88.8) 315 (89.2) 64 (86.5) .75
Not normal 15 (3.5) 12 (3.4) 3 (4.1)
Missingd 33 (7.7) 26 (7.4) 7 (9.5)
Initial heart ratee
Normal 277 (64.9) 235 (66.6) 42 (56.8) .25
Not normal 132 (30.9) 106 (30.0) 26 (35.1)
Missingd 18 (4.2) 12 (3.4) 6 (8.1)
Initial GCS scoref
>12 338 (79.2) 303 (85.8) 35 (47.3) <.001
9-12 10 (2.3) 8 (2.3) 2 (2.7)
<9 42 (9.8) 17 (4.8) 25 (33.8)
Missingd 37 (8.7) 25 (7.1) 12 (16.2)
ICU admission
No 242 (56.7) 223 (63.2) 19 (25.7) <.001
Yes 174 (40.8) 123 (34.8) 51 (68.9)
Missingd 11 (2.6) 7 (2.0) 4 (5.4)
ICU length of stay if admitted to ICU, median (IQR), d 4.0 (2.0-7.0) 3.0 (2.0-5.0) 9.0 (4.0-18.0) <.001
Total hospital length of stay, median (IQR), d 3.0 (2.0-8.0) 3.0 (1.0-6.0) 13.0 (4.0-22.0) <.001
Disposition at discharge
Home with parent or guardian 367 (85.9) 332 (94.1) 35 (47.3) <.001
Foster care 6 (1.4) 5 (1.4) 1 (1.4)
Inpatient rehabilitation facility 45 (10.5) 10 (2.8) 35 (47.3)
Long-term care or skilled nursing facility 1 (0.2) 0 1 (1.4)
Acute care hospital 3 (0.7) 2 (0.6) 1 (1.4)
Other 3 (0.7) 3 (0.8) 0
Missingd 2 (0.5) 1 (0.3) 1 (1.4)

Abbreviations: AIS, Abbreviated Injury Scale; GCS, Glasgow Coma Scale; ICU, intensive care unit; IQR, interquartile range.

a

Data are presented as number (percentage) of patients unless otherwise indicated. Percentages may not add to 100% because of rounding.

b

Determined using the χ2 test or Wilcoxon rank sum test.

c

AIS scores range from 1 to 6, with higher scores indicating more severe injury. A score of 3 or more indicates serious, severe, or critical injury.

d

Not included in the χ2 or Wilcoxon tests.

e

Normal was defined as a z score of −1.96 to 1.96; not normal was defined as a z score less than −1.96 or greater than 1.96.

f

A GSC score greater than 12 indicates minor traumatic brain injury; 9 to 12, moderate; and less than 9, severe.

Results

Among the 835 patients assessed for eligibility, 654 met the inclusion criteria; 493 of their parents or guardians were approached for consent, and 428 provided consent. One patient was withdrawn because of the absence of a qualifying injury. The final sample included 427 patients (median age, 7.2 years [interquartile range, 2.5-11.7 years]). A median of 59 patients (range, 28-88 patients) were enrolled per site. Most patients were male (271 [63.5%]), White (277 [64.9%]), and non-Hispanic (376 [88.1%]) and had either private insurance (188 [44.0%]) or Medicaid or Medicare (198 [46.4%]) as primary coverage (Table 1). Among the enrolled patients, blunt trauma was the predominant injury type (380 injuries [89.0%]), with falls being the most frequent injury mechanism (125 [29.3%]) (Table 2). Most patients had a single body region injury (354 [82.9%]), which was usually an extremity or head injury. Most patients presented with normal physiological parameters as assessed by systolic blood pressure, heart rate, and GCS. Preinjury comorbidities were observed in 66 children and adolescents (15.5%), with asthma being the most frequent (13 patients [3.0%]) (Table 1). The preinjury functional status was normal for most patients (414 [97.0%]). A total of 174 patients (40.8%) were admitted to the ICU, with a median ICU length of stay of 4.0 days (range, 2.0-7.0 days) (Table 2). The median hospital length of stay for all patients in the study was 3.0 days (range, 2.0-8.0 days). Most patients were discharged to their home or to foster care (373 [87.4%]). Overall, 45 patients (10.5%) required inpatient rehabilitation after discharge, and 1 patient (0.2%) was admitted to a skilled nursing facility.

Although most patients returned to or continued to have normal functional status at hospital discharge (353 [82.7%]), new domain morbidity occurred in 74 patients (17.3%) (Table 1 and Table 2). Patients with multiple injured body regions that included a severe head injury had the highest percentage of new domain morbidity (83.3% [20 of 24 patients]), and those with isolated mild or moderate head injuries had the lowest percentage (1.2% [1 of 84]) (Table 3). New domain morbidity was also common among patients with multiple injured body regions with less severe head injury (30.8% [4 of 13]), those with multiple injured body regions not including head injury (27.8% [10 of 36]), those with isolated severe head injury (30.4% [7 of 23]), and those with isolated spine injury (28.6% [6 of 21]). New domain morbidity was similar among children with isolated extremity injury (16.5% [19 of 115]) and those with isolated thoracic injury (13.3% [4 of 30]). Among the 13 patients with at least mild impairment before injury, only 2 had new domain morbidity at discharge. Analysis of POPC and PCPC scale scores showed more than mild impairment (score >2) at discharge in 99 patients (23.2%) and 27 patients (6.3%) patients, respectively. The proportions of patients in each injury category with more than mild impairment on the POPC scale were similar to the proportions of patients with new domain morbidity (Table 3). Consistent with its value for measuring of neurologic function, the PCPC scale score more often showed more than abnormal impairment among those with a severe head injury alone or combined with another body region (36.2% [17 of 47]). The domains of FSS with morbidity were associated with injury category (Figure). Patients with isolated spinal (5 of 7 [71.4%]), extremity (18 of 19 [94.7%]), or abdominal (2 of 3 [66.7%]) injuries had most new motor deficits. Those with isolated thoracic injuries had new morbidity in the motor and feeding domain (2 of 4 [50%] and 2 of 4 [50%], respectively). Morbidities among those with isolated nonsevere head injuries were limited to the sensory domain (1 of 1 [100%]).

Table 3. Level of Impairment and Outcomes Among Children and Adolescents With Body Regions With at Least 1 Serious Injurya.

Outcome Multiple body regions Isolated
Severe head injury Nonsevere head injury Not including head injury Severe head injury Spinal injury Extremity injury Thoracic injury Abdominal injury Nonsevere head injury
Sampled cohort (N = 427)
Total patients, No. (%)b 24 (5.6) 13 (3.0) 36 (8.4) 23 (5.4) 21 (4.9) 115 (26.9) 30 (7.0) 81 (19.0) 84 (19.7)
Admitted to ICU, No. (%) 24 (100) 12 (92.3) 21 (58.3) 17 (73.9) 10 (47.6) 6 (5.2) 14 (46.7) 26 (32.1) 44 (52.4)
ICU LOS, median (IQR), d 12.0 (6.5-24.5) 3.5 (2.5-7.5) 4.0 (2.0-11.0) 6.0 (3.0-11.0) 4.5 (3.0-8.0) 4.0 (3.0-18.0) 3.5 (2.0-8.0) 2.0 (2.0-4.0) 2.0 (2.0-3.0)
Total LOS, median (IQR), d 20.0 (13.0-33.0) 8.0 (5.0-21.0) 7.5 (4.0-13.5) 9.0 (6.0-20.0) 3.0 (1.0-10.0) 2.0 (1.0-4.0) 3.5 (2.0-7.0) 3.0 (2.0-7.0) 2.5 (1.0-5.0)
Abnormal FSS score at baseline, No. (%)c 1 (4.2) 0 0 1 (4.3) 0 7 (6.1) 0 1 (1.2) 3 (3.6)
Abnormal FSS score at discharge, No. (%)c 22 (91.7) 6 (46.2) 11 (30.6) 12 (52.2) 6 (28.6) 30 (26.1) 5 (16.7) 5 (6.2) 6 (7.1)
New domain morbidity, No. (%) 20 (83.3) 4 (30.8) 10 (27.8) 7 (30.4) 6 (28.6) 19 (16.5) 4 (13.3) 3 (3.7) 1 (1.2)
POPC scale score >2 at discharge, No. (%)d 18 (75.0) 4 (30.8) 13 (36.1) 6 (26.1) 4 (19.0) 32 (27.8) 5 (16.7) 11 (13.6) 6 (7.1)
PCPC scale score >2 at discharge, No. (%)d 12 (50.0) 1 (7.7) 2 (5.6) 5 (21.7) 0 3 (2.6) 0 1 (1.2) 3 (3.6)
Trauma registry data (N = 5195)
Total patients. No. (%) 175 (3.4) 110 (2.1) 158 (3.0) 369 (7.1) 144 (2.8) 1828 (35.2) 259 (5.0) 414 (8.0) 1738 (33.5)
Projected patients with new domain morbidity, No. (%) 146 (19.5) 34 (4.5) 44 (5.9) 112 (15.0) 41 (5.5) 302 (40.3) 34 (4.5) 15 (2.0) 21 (2.8)

Abbreviations: FSS, Functional Status Scale; ICU, intensive care unit; IQR, interquartile range; LOS, length of stay; PCPC, Pediatric Cerebral Performance Category; POPC, Pediatric Overall Performance Category.

a

Serious injury was defined as an Abbreviated Injury Scale score of 3 or greater.

b

Values in this row are the denominators used in percentage calculations for the rows below.

c

Abnormal FSS score was defined as greater than 7 on a scale of 1 to 30, with less than 8 considered normal; 8 or 9, mild; and greater than 9, moderate or greater impairment.

d

Scores range from 1 to 5, with scores greater than 2 indicating more than mild impairment.

Figure. Distribution of the Domains of New Morbidity in Each Injury Category.

Figure.

The registry at the sites during the study period contained records for 20 612 children and adolescents, of whom 5195 (25.2%) had at least 1 serious or greater injury. On the basis of the prevalence of injuries in each category among the sampled patients (Table 3), we estimated that 749 of 5195 patients (14.4%) would have discharge functional impairment. The most common injury categories among those with a serious injury were isolated extremity injury (1828 patients [35.2%]) followed by isolated nonsevere head injury (1738 [33.5%]) (Table 3). Patients with extremity injuries (302 of 749 [40.3%]) followed by those with multiple injured body regions including a severe head injury (146 of 749 [19.5%]) accounted for the largest proportions of those estimated to have new domain morbidity. Patients with severe head injuries in isolation or with another injured body region accounted for 544 of 5195 patients (10.5%) with a serious injury in the registry but 258 of 749 cases (34.4%) of new domain morbidity.

Multivariate analysis showed an association between new domain morbidity and injury category (eAppendix 2 in the Supplement). For example, compared with nonsevere isolated head injury, the OR for severe isolated head injury was 54.57 (95% CI, 26.68-111.60; P < .001) and the OR for injuries to multiple body regions including severe head injury was 1503 (95% CI, 598.20-3775.00; P < .001). We first used isolated mild or moderate head injury as the reference group because these injuries were associated with the lowest domain morbidity (Table 2). By varying the reference injury category used in this regression, we found ORs that represented comparisons among all possible injury categories (Table 4). Using these ORs, we ranked the risk for new domain morbidity among the 9 categories (highest to lowest risk): multiple injured body regions including a severe head injury; other types of multiple injured body region patterns (excluding head, head not severe), isolated severe head injuries, and isolated spinal injuries; isolated extremity injuries and isolated thoracic injuries; isolated abdominal injuries; and isolated mild or moderate head injuries.

Table 4. Comparisons Between the Odds of New Domain Morbidity Among Injury Categories Using Multivariable Logistic Regression.

Comparison category Reference category, odds ratio (95% CI)
Multiple injuries including nonsevere head injury Multiple injuries excluding head injury Severe head injury Spinal injury Extremity injury Thoracic injury Abdominal injury Nonsevere head injury
Multiple injuries including severe head injury 14.95 (5.53-40.41) 26.92 (11.45-63.27) 27.54 (12.40-61.13) 17.28 (7.09-42.14) 57.30 (28.21-116.40) 66.04 (27.13-160.70) 278.3 (103.00-752.10) 1503 (598.20-3775.00)
Multiple injuries including nonsevere head injury 1.80 (0.73-4.47)a 1.84 (0.80-4.24)a 1.16 (0.45-2.96)a 3.83 (1.78-8.25) 4.42 (1.72-11.35) 18.61 (6.59-52.55) 100.5 (38.05-265.40)
Multiple injuries excluding head injury 1.02 (0.52-1.99)a 0.64 (0.29-1.42)a 2.13 (1.21-3.76) 2.45 (1.13-5.33) 10.34 (4.21-25.39) 55.82 (24.83-125.50)
Severe head injury 0.63 (0.31-1.29)a 2.08 (1.36-3.19) 2.40 (1.20-4.81) 10.11 (4.42-23.10) 54.57 (26.26-111.60)
Spinal injury 3.32 (1.81-6.06) 3.82 (1.70-8.60) 16.10 (6.48-40.03) 86.95 (36.84-205.2)
Extremity injury 1.15 (0.63-2.11)a 4.86 (2.33-10.10) 26.22 (13.93-49.35)
Thoracic injury 4.21 (1.70-10.45) 22.75 (9.87-52.46)
Abdominal injury 5.40 (2.11-13.84)
a

No significant difference between comparison and reference categories.

Discussion

The need for assessing nonmortality outcomes after injury is well recognized.6,23 Although substantial resources are allocated for maintaining trauma registries, resources for obtaining postdischarge evaluations have been limited.23 One approach for addressing these resource challenges is to perform postdischarge evaluations only for patients with a high risk of impairment. In this study, we used FSS scores to identify categories of injured children and adolescents at high risk for functional impairment who should be targeted for these assessments.

Few studies have described categories of injuries associated with risk for functional impairment in a general population of injured children and adolescents. Previous studies3,10,11 have had small samples, have limited their assessments to those with the most severe injuries, or have excluded individuals in specific age groups. Functional impairment was observed in all domains using the Functional Independence Measure system in a cohort of 162 children with at least 1 serious injury.10 The functional status of 149 seriously injured children was evaluated using this system, the King’s Outcome Scale for Childhood Head Injury, and the modified Glasgow Outcome Scale. One month after discharge, impairment was observed in the 4 body regions evaluated, but infants were excluded from some assessments.3 In an analysis of 553 injured children treated in an ICU, new FSS domain morbidity was observed in 17% of patients.11 Our study addressed some of the limitations of these studies. We evaluated a larger sample of children, including those hospitalized outside the ICU, and oversampled those with uncommon injuries. We estimated that new domain morbidity occurred in 17.3% of seriously injured children treated at the participating sites. We observed similar findings using the POPC scale, a measure also used for functional status assessment in large-scale studies.19 The impairment using new FSS domain morbidity exceeded by approximately 4-fold the reported mortality after severe injury in children,2 supporting the FSS as a more granular and potentially more robust measure of quality.

We estimated impairment within each injury category at the participating sites using the proportions of new domain morbidity in the sampled population. Isolated extremity injury was the most frequently reported category and accounted for an estimated 40.3% of new domain morbidities. Children hospitalized for extremity injuries are a population at high risk for functional impairment.3,10,11 Recent studies have identified the need to implement validated functional outcome assessments for pediatric orthopedic injuries.24,25 Although children and adolescents with severe head injuries accounted for 11.0% of patients with a serious injury, those with severe head injuries accounted for 36.5% of those estimated to have impairment at the time of discharge. We also observed an association between the number of injured body regions and functional outcome.11,26 Children and adolescents with multiple injured body regions including severe head injury had the highest proportion of functional impairment, a finding observed in adult trauma patients.27 Almost half (49.5%) of children and adolescents with multiple injured body regions with or without a head injury also had discharge impairment.

Injuries in some body regions were associated with low percentages of impairment, including isolated mild or moderate head injuries and isolated thoracic or abdominal injuries. Although we used the FSS scale, a range of other measures can be used to assess impairment in children with a traumatic brain injury.28 Although a population of interest from a resource perspective,29 children and adolescents with isolated abdominal injuries had infrequent functional impairment at discharge. Consistent with previous findings, isolated thoracic injuries in the sample in the present study were associated with a low frequency of impairment at discharge.3 Our results highlight the need to define specific injuries in the abdominal and thoracic regions that are associated with risk for disability.

Limitations

This study has several limitations. First, we used the FSS to define functional status rather than more extensive functional assessments such as the Vineland Adaptive Behavior Scale III. Although it has advantages for large-scale studies, FSS may not be sufficiently granular to detect additional aspects of function at hospital discharge. Second, patients within each category used in this study had different injury profiles based on the organs injured and the occurrence of multiple injuries within the same body region. Third, we did not consider physiological differences not represented by initial vital signs and GCS. The integration of trauma registries and clinical data sets has been proposed for managing this limitation.30 Fourth, we observed wide 95% CIs for several ORs in the multivariate model when comparing injury categories. Although potentially arising from comparison of categories with small sample sizes or infrequent new domain morbidity, it is also possible that the wide 95% CIs reflect high variability in the observed associations. Fifth, we did not consider the causation of new domain morbidity. New discharge impairment may be associated with a combination of primary injury and complications related to management.

Conclusions

In this cohort study, most injured children and adolescents returned to baseline functional status, as assessed using the FSS, by hospital discharge. These findings suggest that functional status assessments can be limited to cohorts of injured children and adolescents at the highest risk for impairment.

Supplement.

eAppendix 1. Preexisting Chronic Conditions Assessed at Enrollment

eAppendix 2. New Domain-Related Morbidity Determined by Multivariable Logistic Regression, Children with Isolated Head-Not Severe Used as Reference Injury Category

References

  • 1.Cassidy LD, Cook A, Ertl A, Gourlay D, Osler T. Is the Trauma Mortality Prediction Model (TMPM-ICD-9) a valid predictor of mortality in pediatric trauma patients? J Pediatr Surg. 2014;49(1):189-192. doi: 10.1016/j.jpedsurg.2013.09.055 [DOI] [PubMed] [Google Scholar]
  • 2.Chang MC, ed; American College of Surgeons Committee on Trauma Leadership. National Trauma Data Bank: pediatric annual report. Published 2016. Accessed October 1, 2020. https://www.facs.org/~/media/files/quality%20programs/trauma/ntdb/ntdb%20pediatric%20annual%20report%202016.ashx
  • 3.Gabbe BJ, Simpson PM, Sutherland AM, et al. Functional and health-related quality of life outcomes after pediatric trauma. J Trauma. 2011;70(6):1532-1538. doi: 10.1097/TA.0b013e31820e8546 [DOI] [PubMed] [Google Scholar]
  • 4.Cooper CG, Santana MJ, Stelfox HT. A comparison of quality improvement practices at adult and pediatric trauma centers. Pediatr Crit Care Med. 2013;14(8):e365-e371. doi: 10.1097/PCC.0b013e3182917a4c [DOI] [PubMed] [Google Scholar]
  • 5.McCarthy A, Curtis K, Holland AJ. Paediatric trauma systems and their impact on the health outcomes of severely injured children: an integrative review. Injury. 2016;47(3):574-585. doi: 10.1016/j.injury.2015.12.028 [DOI] [PubMed] [Google Scholar]
  • 6.Sakran JV, Ezzeddine H, Schwab CW, et al. Proceedings from the Consensus Conference on Trauma Patient-Reported Outcome Measures. J Am Coll Surg. 2020;230(5):819-835. [DOI] [PubMed] [Google Scholar]
  • 7.Ryder C, Mackean T, Hunter K, Williams H, et al. Equity in functional and health related quality of life outcomes following injury in children—a systematic review. Crit Public Health. 2020;30(3):352-366. doi: 10.1080/09581596.2019.1581918 [DOI] [Google Scholar]
  • 8.Bennett TD, Dixon RR, Kartchner C, et al. Functional Status Scale in children with traumatic brain injury: a prospective cohort study. Pediatr Crit Care Med. 2016;17(12):1147-1156. doi: 10.1097/PCC.0000000000000934 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Williams KS, Young DK, Burke GAA, Fountain DM. Comparing the WeeFIM and PEDI in neurorehabilitation for children with acquired brain injury: a systematic review. Dev Neurorehabil. 2017;20(7):443-451. doi: 10.1080/17518423.2017.1289419 [DOI] [PubMed] [Google Scholar]
  • 10.Winthrop AL, Brasel KJ, Stahovic L, Paulson J, Schneeberger B, Kuhn EM. Quality of life and functional outcome after pediatric trauma. J Trauma. 2005;58(3):468-473. doi: 10.1097/01.TA.0000153940.23471.B7 [DOI] [PubMed] [Google Scholar]
  • 11.Ahmed OZ, Holubkov R, Dean JM, et al. Change in functional status among children treated in the intensive care unit after injury. J Trauma Acute Care Surg. 2019;86(5):810-816. doi: 10.1097/TA.0000000000002120 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.van Baar ME, Polinder S, Essink-Bot ML, et al. Quality of life after burns in childhood (5-15 years): children experience substantial problems. Burns. 2011;37(6):930-938. doi: 10.1016/j.burns.2011.05.004 [DOI] [PubMed] [Google Scholar]
  • 13.Durand MB, McLaughlin CM, Imagawa KK, Upperman JS, Jensen AR. Identifying targets to improve coding of child physical abuse at a pediatric trauma center. J Trauma Nurs. 2019;26(5):239-242. doi: 10.1097/JTN.0000000000000461 [DOI] [PubMed] [Google Scholar]
  • 14.Bonafide CP, Brady PW, Keren R, Conway PH, Marsolo K, Daymont C. Development of heart and respiratory rate percentile curves for hospitalized children. Pediatrics. 2013;131(4):e1150-e1157. doi: 10.1542/peds.2012-2443 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.de Swiet M, Fayers P, Shinebourne EA. Systolic blood pressure in a population of infants in the first year of life: the Brompton study. Pediatrics. 1980;65(5):1028-1035. [PubMed] [Google Scholar]
  • 16.Rabbia F, Grosso T, Cat Genova G, et al. Assessing resting heart rate in adolescents: determinants and correlates. J Hum Hypertens. 2002;16(5):327-332. doi: 10.1038/sj.jhh.1001398 [DOI] [PubMed] [Google Scholar]
  • 17.Pollack MM, Holubkov R, Glass P, et al. ; Eunice Kennedy Shriver National Institute of Child Health and Human Development Collaborative Pediatric Critical Care Research Network . Functional Status Scale: new pediatric outcome measure. Pediatrics. 2009;124(1):e18-e28. doi: 10.1542/peds.2008-1987 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Pollack MM, Holubkov R, Funai T, et al. Relationship between the Functional Status Scale and the Pediatric Overall Performance Category and Pediatric Cerebral Performance Category scales. JAMA Pediatr. 2014;168(7):671-676. doi: 10.1001/jamapediatrics.2013.5316 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Pollack MM, Holubkov R, Funai T, et al. ; Eunice Kennedy Shriver National Institute of Child Health and Human Development Collaborative Pediatric Critical Care Research Network . Simultaneous prediction of new morbidity, mortality, and survival without new morbidity from pediatric intensive care: a new paradigm for outcomes assessment. Crit Care Med. 2015;43(8):1699-1709. doi: 10.1097/CCM.0000000000001081 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.O’Reilly GM, Cameron PA, Jolley DJ. Which patients have missing data? an analysis of missingness in a trauma registry. Injury. 2012;43(11):1917-1923. doi: 10.1016/j.injury.2012.07.185 [DOI] [PubMed] [Google Scholar]
  • 21.Raghunathan T, Lepkowski J, Van Hoewyk J, Solenberger P.. A multivariate technique for multiply imputing missing values using a sequence of regression models. Surv Methodol. 2001;27(1):85-95. [Google Scholar]
  • 22.Rubin DB. Multiple Imputation for Nonresponse in Surveys. John Wiley & Sons, Inc; 1987. doi: 10.1002/9780470316696 [DOI] [Google Scholar]
  • 23.Rios-Diaz AJ, Lam J, Zogg CK. The need for postdischarge, patient-centered data in trauma. JAMA Surg. 2016;151(12):1101-1102. doi: 10.1001/jamasurg.2016.2343 [DOI] [PubMed] [Google Scholar]
  • 24.Marson BA, Craxford S, Deshmukh SR, Grindlay D, Manning J, Ollivere BJ. Outcomes reported in trials of childhood fractures: a systematic review. Bone Jt Open. 2020;1(5):167-174. doi: 10.1302/2633-1462.15.BJO-2020-0031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Arguelles GR, Shin M, Lebrun DG, Kocher MS, Baldwin KD, Patel NM. The majority of patient-reported outcome measures in pediatric orthopaedic research are used without validation. J Pediatr Orthop. 2021;41:e74-e79. doi: 10.1097/BPO.0000000000001659 [DOI] [PubMed] [Google Scholar]
  • 26.Gabbe BJ, Simpson PM, Lyons RA, et al. Association between the number of injuries sustained and 12-month disability outcomes: evidence from the Injury-VIBES study. PLoS One. 2014;9(12):e113467. doi: 10.1371/journal.pone.0113467 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Leong BK, Mazlan M, Abd Rahim RB, Ganesan D. Concomitant injuries and its influence on functional outcome after traumatic brain injury. Disabil Rehabil. 2013;35(18):1546-1551. doi: 10.3109/09638288.2012.748832 [DOI] [PubMed] [Google Scholar]
  • 28.Prince C, Bruhns ME. Evaluation and treatment of mild traumatic brain injury: the role of neuropsychology. Brain Sci. 2017;7(8):105. doi: 10.3390/brainsci7080105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Notrica DM, Linnaus ME. Nonoperative management of blunt solid organ injury in pediatric surgery. Surg Clin North Am. 2017;97(1):1-20. doi: 10.1016/j.suc.2016.08.001 [DOI] [PubMed] [Google Scholar]
  • 30.Flynn-O’Brien KT, Fallat ME, Rice TB, et al. Pediatric Trauma Assessment and Management Database: leveraging existing data systems to predict mortality and functional status after pediatric injury. J Am Coll Surg. 2017;224(5):933-944.e5. doi: 10.1016/j.jamcollsurg.2017.01.061 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement.

eAppendix 1. Preexisting Chronic Conditions Assessed at Enrollment

eAppendix 2. New Domain-Related Morbidity Determined by Multivariable Logistic Regression, Children with Isolated Head-Not Severe Used as Reference Injury Category


Articles from JAMA Surgery are provided here courtesy of American Medical Association

RESOURCES