Understanding the impact of uveitis on health‐related quality of life in adolescents

Maca, Saskia; Амирян, А. Г.; Prause, Carolin; Gruber, K; Mejdoubi, Lamiss; Barisani-Asenbauer, Talin

doi:10.1111/aos.12016

Cited by 18 publications

(15 citation statements)

References 34 publications

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“…The sample size was determined for the prespecified primary analysis, which was a linear regression of the PSS-10 score and uveitis correcting for significant covariates from the mostrecent normative data set of Americans answering the PSS-10 questionnaire. 44 Using an α level of .05, a sample size of 120 patients gave us greater than 90% power to detect a 4-point difference (one-half of an SD in the normative data set) in the PSS-10 score between the uveitis and control groups. Participants were recruited in a ratio of 1 recently active subgroup patient to 1 controlled uveitis subgroup patient to 1 control patient to allow for greater than 90% power to detect a 4-point difference in the PSS-10 score between patients with recently active and controlled disease.…”

Section: Discussionmentioning

confidence: 99%

“…Traditional demographics, such as age, race/ethnicity, educational level, work status, and income did not explain as much of the variability in PSS-10 scores compared with prior studies using the questionnaire. 44 However, median household income by zip code is a weak proxy for socioeconomic status, and this variable may have not fully captured the association with a key confounder that is a known contributor to psychological stress. 44 The predictors of the PSS-10 score that we found are consistent with reported predictors of health-and visionrelated quality of life in patients with uveitis.…”

Section: Discussionmentioning

confidence: 99%

“…44 However, median household income by zip code is a weak proxy for socioeconomic status, and this variable may have not fully captured the association with a key confounder that is a known contributor to psychological stress. 44 The predictors of the PSS-10 score that we found are consistent with reported predictors of health-and visionrelated quality of life in patients with uveitis. 49,50 Prior analyses suggest that visual acuity is associated with poorer quality of life, but consistent with our study, it is a weak to moderate predictor.…”

Section: Discussionmentioning

confidence: 99%

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Association Between Noninfectious Uveitis and Psychological Stress

et al. 2019

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IMPORTANCE Uveitis involves dysregulation of the ocular immune system. Stress has been shown to affect immune function, but it is unclear whether there is an association between stress and uveitis.OBJECTIVE To determine whether having uveitis is associated with psychological stress. DESIGN, SETTING, AND PARTICIPANTSA cross-sectional, case-control study including a self-administered survey, medical records review, and diurnal salivary cortisol test was conducted at a university-based uveitis clinic and comprehensive eye clinic. Participants included 146 consecutive adults with noninfectious uveitis and age-matched controls with no eye disease. The study was conducted from December 1, 2017, to March 14, 2018. MAIN OUTCOMES AND MEASURESParticipants completed the self-administered, Cohen 10-item Perceived Stress Scale (PSS-10), a demographics questionnaire. Responses to each question were categorized on a 5-point Likert scale, with total scores ranging from 0 (no stress) to 40 (high stress). In addition, participants submitted 3 salivary cortisol samples. Those with uveitis were classified as having recently active or controlled disease through medical records review. The prespecified primary analysis was a linear regression of PSS-10 score and uveitis correcting for age, sex, educational level, employment, and median income. Secondary analyses included comparing PSS-10 scores in patients with recently active and controlled uveitis, determining predictors of stress, and comparing diurnal salivary cortisol between uveitis and control groups. RESULTSOf 146 eligible patients, 17 declined participation and 9 consented but were excluded because they did not complete both questionnaires, resulting in 120 patients (80 uveitis; 40 controls) in the final analysis. Eighty participants (66.7%) were women, and 70 (58.3%) were white. Median age was 40 years (interquartile range, 29-59 years). Having uveitis was associated with a 4.3-point increase in PSS-10 score (95% CI, 1.8 to 6.9; P = .002). There was no significant difference in PSS-10 scores between patients with recently active and controlled uveitis (1.0 point greater for patients with active uveitis; 95% CI, −2.0 to 3.9; P = .52). Factors associated with increased PSS-10 score in patients with uveitis included female sex (coefficient, 4.0; 95% CI, 1.6 to 6.5; P = .002), current immunomodulatory therapy (coefficient, 2.5; 95% CI, −0.3 to 5.2; P = .08), history of depression (coefficient, 3.8; 95% CI, 0.8 to 6.8; P = .02), and having posterior or panuveitis (coefficient, 2.6; 95% CI, 0.8 to 4.4; P = .006). Of the 70 participants (58.3%) who had testable samples for cortisol analysis, diurnal salivary cortisol levels did not significantly differ between uveitis and nonuveitis groups.CONCLUSIONS AND RELEVANCE These findings suggest that patients with uveitis have higher levels of psychological stress compared with controls, yet no significant difference was identified in the stress of patients with active vs controlled uveitis. Consequently, comprehensive treatment for noninf...

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Association Between Noninfectious Uveitis and Psychological Stress

et al. 2019

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“…There is a scarcity of studies that have examined the impact of uveitis in children 25–27 . Similar to adults, measurements in the pediatric population include an ophthalmologic examination (visual acuity, applanation tonometry, and slit lamp biomicroscopy), and general quality of life instruments (i.e.…”

Section: Assessment Of Vision Related Quality Of Life and Function Inmentioning

confidence: 99%

“…studied the health related quality of life of 37 adolescents who were 11–18 year old and diagnosed with uveitis that was inactive, had inactive systemic disease and good vision (defined as at least one eye with a logMAR VA better than 0.1). Their objective was to obtain “basic” data on the health related quality of life in uveitic adolescents and avoid negative stressors 25 . Instruments utilized included the Inventory for Assessing the Quality of life in Children and Adolescents and the Children’s Quality of life Questionnaire.…”

Section: Assessment Of Vision Related Quality Of Life and Function Inmentioning

confidence: 99%

Quality-of-Life Metrics in Pediatric Uveitis

Angeles‐Han

2015

International Ophthalmology Clinics

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Uveitis can lead to vision loss and blindness in children. It can significantly impact a child’s vision related quality of life and daily function. Outcome studies in pediatric uveitis focus on the clinical ocular exam and general measures of quality of life whereas in adults, measures of visual function are incorporated. Adequate vision can affect a child’s daily activities and is crucial for daily function in the home and school. A comprehensive approach that incorporates all aspects of disability could improve the assessment of outcomes and may help us better understand the impact of visual impairment on children with uveitis.

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Assessing the Validity and Reliability of the Effects of Youngsters’ Eyesight on Quality of Life Questionnaire Among Children With Uveitis

Cassedy

Altaye

Andringa

et al. 2022

Arthritis Care & Research

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Objective. The Effects of Youngsters' Eyesight on Quality of Life (EYE-Q) questionnaire measures vision-related functioning (VRF) and vision-related quality of life (VRQoL) in children with uveitis. Our aim was to revise the alpha version of the EYE-Q to refine VRF and VRQoL subscales and to assess the validity of the EYE-Q.Methods. Children with juvenile idiopathic arthritis (JIA), JIA-associated uveitis, and other noninfectious uveitis were enrolled. Patients and parents completed the EYE-Q, Pediatric Quality of Life Inventory (overall quality of life), and Childhood Health Assessment Questionnaire (physical functioning). The development site completed the alpha version of the EYE-Q, and the composite sites completed the beta version. We compared item-subscale correlations, internal consistency, and construct and discriminant validity among the different versions.Results. Of the 644 patients enrolled, 61.6% completed the alpha version, and 38.4% the beta version of the EYE-Q. Mean AE SD patient age was 11.1 AE 4.2 years, and 70% were female. Fewer White patients (73.5%) completed the alpha version compared to the beta version (86.2%; P < 0.001). With the exception of patient-reported VRF, both versions had similar item-subscale correlations. Version comparisons on scale internal consistencies indicated significant differences for parent-and patient-reported VRF, but each scale had a Cronbach's α of >0.80 beta. When data were combined, the EYE-Q showed significant differences between JIA-only and uveitis patients on all parent and patient scores, except for patient-reported VRF.Conclusion. The EYE-Q appears to be a valid measure of VRF and VRQoL in pediatric uveitis. Our results suggest it may be used as an outcome measure in multicenter pediatric uveitis studies.

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Understanding the impact of uveitis on health‐related quality of life in adolescents

Cited by 18 publications

References 34 publications

Association Between Noninfectious Uveitis and Psychological Stress

Association Between Noninfectious Uveitis and Psychological Stress

Quality-of-Life Metrics in Pediatric Uveitis

Assessing the Validity and Reliability of the Effects of Youngsters’ Eyesight on Quality of Life Questionnaire Among Children With Uveitis

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