| Literature DB >> 30458827 |
Elina Liu1,2, Marinka Twilt3,4,5, Pascal N Tyrrell6, Anastasia Dropol1,7,8, Shehla Sheikh9, Mark Gorman10, Susan Kim10,11, David A Cabral12, Rob Forsyth13, Heather Van Mater14, Suzanne Li15, Adam M Huber16, Elizabeth Stringer16, Eyal Muscal17, Dawn Wahezi18, Mary Toth19, Pavla Dolezalova20, Katerina Kobrova20, Goran Ristic21, Susanne M Benseler1,7,8.
Abstract
OBJECTIVE: To quantify the impact of inflammatory brain diseases in the pediatric population on health-related quality of life, including the subdomains of physical, emotional, school and social functioning.Entities:
Keywords: CNS vasculitis; Health-related quality of life; Inflammatory brain disease; Pediatrics; Quality of life
Mesh:
Year: 2018 PMID: 30458827 PMCID: PMC6245877 DOI: 10.1186/s12969-018-0291-4
Source DB: PubMed Journal: Pediatr Rheumatol Online J ISSN: 1546-0096 Impact factor: 3.054
Patient demographics for 145 pediatric patients with inflammatory brain disease
| Female. Number (%) | 80 (55%) |
| Age at diagnosis, years. Median (range) | 10.3 (0.4–18.2) |
| Diagnosis | |
| Small vessel cPACNS | 48 (33%) |
| Angiography positive, non-progressive cPACNS | 22 (15%) |
| Angiography positive, progressive cPACNS | 8 (6%) |
| Antibody-mediated IBrainD | 26 (18%) |
| Anti-NMDA receptor encephalitis | 13 (9%) |
| Other antibody-mediated | 13 (9%) |
| Secondary IBrainD | 12 (8%) |
| Secondary CNS Vasculitis | 10 (7%) |
| Demyelinating | 4 (3%) |
| Granulomatosis IBrainD | 2 (1%) |
| Moyamoya-like | 1 (1%) |
| T-cell mediated IBrainD | 2 (1%) |
| IBrainD NYD | 10 (7%) |
| Time to diagnosis, months. Median (range) | 1.2 (0–150) |
Legend: Acronyms: CNS Central nervous system, cPACNS Childhood primary angiitis of the central nervous system, IBrainD Inflammatory brain disease, NYD Not yet determined
Clinical phenotypes and outcomes for 145 pediatric patients with inflammatory brain disease
| Clinical phenotypes at diagnosis | |
|---|---|
| Presenting symptoms | |
| Cognitive Dysfunction | 91 (63%) |
| Seizures | 65 (45%) |
| Hemiparesis | 64 (44%) |
| Disease activity | |
| Number of patients with disease activity measurements | 116 (80%) |
| Median (Range) | 8.0 (0–10) |
| Estimated damage | |
| Number of patients with estimated damage measurements | 98 (68%) |
| Median (Range) | 1.0 (0–8) |
| Poor health-related quality of life | |
| Child’s self-reported | 53% (18/34) |
| Parent’s proxy-reported | 49% (19/39) |
| Outcomes | |
| Survival | 144/145 (99%) |
| Neurologic function at 1 year | |
| Number of patients with neurologic function measurements | 106 (73%) |
| Good | 63/106 (59%) |
| Poor | 43/106 (41%) |
| Poor health-related quality of life at 1 year | |
| Child’s self-reported | 34% (16/47) |
| Parent’s proxy-reported | 35% (17/48) |
Legend: Disease activity and estimated damage were measured using the physician global assessment (PGA). The PGA is measured on a continuous scale from 0 to 10, with 0 representing no disease activity/damage, and 10 representing severe disease activity/damage. Neurologic function was measured using the pediatric stroke outcome measure (PSOM), with the presence of significant dysfunction in any of the 5 subdomains (right sensorimotor, left sensorimotor, language production, language comprehension and cognitive/behavioural deficit) indicating poor neurologic function
Fig. 1Health-related quality of life in children newly diagnosed with inflammatory brain disease, from the child’s perspective and the parent’s perspective. Legend: n = 34 for child’s self-reported PedsQL scores, and n = 39 for parent’s proxy-reported PedsQL scores. Reported values are mean baseline subdomain and overall PedsQL scores, out of 100, with larger scores representing improved quality of life
Impact of baseline patient characteristics and presenting clinical features on trajectories of health-related quality of life (HRQoL) over time
| Child self-reported HRQoL | Parent proxy-reported HRQoL | |||
|---|---|---|---|---|
| Predictors for impaired overall HRQoL trajectories over time | ||||
| Female Gender (vs. Male) | −7.6 (4.6) | 0.10 | −3.8 (4.4) | 0.39 |
| Seizures | −15.6 (4.6)a | < 0.01 | −11.5 (4.4) | < 0.01 |
| Cognitive Dysfunction | − 15.0 (4.8)a | < 0.01 | −15.2 (4.6) | < 0.01 |
| Hemiparesis | −2.9 (4.6) | 0.53 | −2.5 (4.4) | 0.58 |
| Predictors for impaired physical functioning trajectories over time | ||||
| Female Gender (vs. Male) | −8.9 (5.6) | 0.12 | −7.8 (5.9) | 0.19 |
| Seizures | −13.4 (5.7) | 0.02 | −9.9 (6.0) | 0.10 |
| Cognitive Dysfunction | −14.4 (5.9) | 0.02 | −11.4 (6.2) | 0.07 |
| Hemiparesis | −7.3 (5.7) | 0.20 | −1.7 (5.9) | 0.77 |
| Predictors for impaired psychosocial functioning trajectories over time | ||||
| Female Gender (vs. Male) | −7.1 (4.7) | 0.13 | −1.6 (4.3) | 0.71 |
| Seizures | −16.2 (4.7) | < 0.01 | −12.4 (4.3) | < 0.01 |
| Cognitive Dysfunction | −15.3 (4.9)a | < 0.01 | −17.7 (4.4)a | < 0.01 |
| Hemiparesis | −0.1 (4.7) | 0.98 | −0.1 (4.7) | 0.44 |
Legend: Health-related quality of life (HRQoL) was measured using PedsQL 4.0 Generic Core Scales. Child-reported HRQoL was measured using the child self-reporting PedsQL questionnaire. PedsQL scores are between 0 and 100, with higher values representing better HRQoL. Negative changes in HRQoL associated with a clinical phenotype therefore represent risk factors for impaired HRQoL. 464 child self-reported PedsQL questionnaires were completed and used in this analysis. Each parameter estimate was derived from a separate, univariable linear regression model, adjusted for time, evaluating the impact of the predictor alongside time on HRQoL. Regression models were adjusted for repeated measures with an autoregressive covariance structure to establish whether these relationships changed statistically significantly with time
n = 145 patients
aasterisk indicates that the HRQoL impairment associated with the presence of the clinical variable at diagnosis is time-dependent, with the gap in HRQoL between patients with the clinical variable at diagnosis and patients who do not have the clinical variable at diagnosis decreasing with increasing time. This was only assessed in clinical parameters with statistically significant parameter estimates
bSE Standard error