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Research Article| Volume 69, P92-98, July 2019

Quality of life and correlating factors in children, adolescents with epilepsy, and their caregivers: A cross-sectional multicenter study from Germany

  • Author Footnotes
    1 These authors contributed equally.
    Janna Riechmann
    Footnotes
    1 These authors contributed equally.
    Affiliations
    Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany

    Department of Pediatrics, Philipps-University Marburg, Marburg (Lahn), Germany
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  • Author Footnotes
    1 These authors contributed equally.
    Laurent M. Willems
    Footnotes
    1 These authors contributed equally.
    Affiliations
    Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University Frankfurt, Frankfurt am Main, Germany

    LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
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  • Rainer Boor
    Affiliations
    Department of Pediatric Neurology and Northern German Epilepsy Centre for Children and Adolescents, Christian-Albrechts-University, Kiel, Germany
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  • Matthias Kieslich
    Affiliations
    Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University Frankfurt, Frankfurt am Main, Germany

    Department of Neuropediatrics, Goethe-University Frankfurt, Frankfurt am Main, Germany

    LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
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  • Susanne Knake
    Affiliations
    Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany

    LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
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  • Cornelia Langner
    Affiliations
    Private Neuropediatric Practice, Fulda, Germany
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  • Bernd A. Neubauer
    Affiliations
    Department of Pediatric Neurology, Justus-Liebig-University Giessen, Giessen, Germany
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  • Bettina Oberman
    Affiliations
    Center for Social Pediatrics Frankfurt Höchst, Frankfurt am Main, Germany
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  • Heike Philippi
    Affiliations
    Center for Social Pediatrics and Epilepsy Outpatient Clinic Frankfurt Mitte, Frankfurt am Main, Germany
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  • Jens P. Reese
    Affiliations
    Coordinating Center for Clinical Trials, Philipps-University Marburg, Marburg (Lahn), Germany

    LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
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  • Michael Rochel
    Affiliations
    Private Neuropediatric Practice, Königstein, Germany
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  • Susanne Schubert-Bast
    Affiliations
    Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University Frankfurt, Frankfurt am Main, Germany

    Department of Neuropediatrics, Goethe-University Frankfurt, Frankfurt am Main, Germany

    LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
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  • Jürgen Seeger
    Affiliations
    Center for Social Pediatrics and Epilepsy Outpatient Clinic Frankfurt Mitte, Frankfurt am Main, Germany
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  • Peter Seipelt
    Affiliations
    Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany

    Department of Pediatrics, Philipps-University Marburg, Marburg (Lahn), Germany
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  • Ulrich Stephani
    Affiliations
    Department of Pediatric Neurology and Northern German Epilepsy Centre for Children and Adolescents, Christian-Albrechts-University, Kiel, Germany
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  • Felix Rosenow
    Affiliations
    Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany

    Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University Frankfurt, Frankfurt am Main, Germany

    LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
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  • Author Footnotes
    1 These authors contributed equally.
    Hajo M. Hamer
    Footnotes
    1 These authors contributed equally.
    Affiliations
    Epilepsy Center Erlangen, Friedrich-Alexander University, Erlangen, Germany
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  • Author Footnotes
    1 These authors contributed equally.
    Adam Strzelczyk
    Correspondence
    Corresponding author at: Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528 Frankfurt am Main, Germany.
    Footnotes
    1 These authors contributed equally.
    Affiliations
    Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany

    Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University Frankfurt, Frankfurt am Main, Germany

    LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
    Search for articles by this author
  • Author Footnotes
    1 These authors contributed equally.
Open ArchivePublished:March 29, 2019DOI:https://doi.org/10.1016/j.seizure.2019.03.016

      Highlights

      • Multicenter study in 489 children and adolescents with epilepsy and their caregivers.
      • Poorer QoL in children with epilepsy compared to healthy controls.
      • Poorer QoL in children with epilepsy correlates with poorer QoL in their caregivers.
      • Symptoms of depression (BDI-II) are present in 28.1% of caregivers.
      • The subitem pain/discomfort was the most relevant constrain in caregivers.

      Abstract

      Purpose

      To identify factors correlating with poorer quality of life (QoL) in children and adolescents with epilepsy and regarding QoL and depression of their caregivers in Germany.

      Method

      A cross-sectional multicenter study on QoL and depression was performed in two representative German states (Hessen and Schleswig-Holstein). Variance analysis, linear regression, and bivariate correlation were used to identify correlating factors for poorer QoL and symptoms of depression.

      Results

      Data from 489 children and adolescents (mean age 10.4 ± 4.2 years, range 0.5–17.8; 54.0% male) and their caregivers were collected. We identified missing seizure freedom (p = 0.046), concomitant diseases (p = 0.007), hospitalization (p = 0.049), recent status epilepticus (p = 0.035), living in a nursing home or with foster parents (p = 0.049), and relevant degree of disability (p = 0.007) to correlate with poorer QoL in children and adolescents with epilepsy. Poorer QoL of caregivers was associated with longer disease duration (p = 0.004), non-idiopathic (mainly structural-metabolic) epilepsy (p = 0.003), ongoing seizures (p = 0.003), concomitant diseases (p = 0.003), relevant disability (p = 0.003), or status epilepticus (p = 0.003) as well as with unemployment of the primary caretaker (p = 0.010). Symptoms of depression of caregivers were associated with non-idiopathic epilepsy (p = 0.003), concomitant diseases (p = 0.003), missing seizure freedom (p = 0.007), status epilepticus (p = 0.004), or a relevant disability (p = 0.004) of their ward. A poorer QoL value of the children and adolescents correlated with a poorer QoL value of the caregivers (p < 0.001).

      Conclusions

      Epilepsy shows a considerable impact on QoL and symptoms of depression. Early and effective therapy should focus on reduction of seizure frequency and the probability for developing status epilepticus. Furthermore, comprehensive care should pay attention at comorbidities, consequences of disability and dependency on others.

      Keywords

      1. Introduction

      Epilepsy is a common, chronic neurological disease with a clinical hallmark of recurrent seizures that places a major burden on patients, their caregivers, and society [
      • Josephson C.B.
      • Patten S.B.
      • Bulloch A.
      • Williams J.V.A.
      • Lavorato D.
      • Fiest K.M.
      • et al.
      The impact of seizures on epilepsy outcomes: a national, community-based survey.
      ,
      • Strzelczyk A.
      • Reese J.P.
      • Dodel R.
      • Hamer H.M.
      Cost of epilepsy: a systematic review.
      ,
      • Puka K.
      • Smith M.L.
      • Moineddin R.
      • Snead O.C.
      • Widjaja E.
      The influence of socioeconomic status on health resource utilization in pediatric epilepsy in a universal health insurance system.
      ]. Moreover, disease-specific restrictions on self-sufficiency, mobility, career choice, family planning, and other social aspects as well as frequent epilepsy-related accidents and injuries have been shown to be associated with a reduced quality of life (QoL) and increased depression scores [
      • Ferro M.A.
      • Avery L.
      • Fayed N.
      • Streiner D.L.
      • Cunningham C.E.
      • Boyle M.H.
      • et al.
      Child- and parent-reported quality of life trajectories in children with epilepsy: a prospective cohort study.
      ,
      • Smeets V.M.J.
      • van Lierop B.A.G.
      • Vanhoutvin J.P.G.
      • Aldenkamp A.P.
      • Nijhuis F.J.N.
      Epilepsy and employment: literature review.
      ,
      • Willems L.M.
      • Watermann N.
      • Richter S.
      • Kay L.
      • Hermsen A.M.
      • Knake S.
      • et al.
      Incidence, risk factors and consequences of epilepsy-related injuries and accidents: a retrospective, single center study.
      ,
      • Puka K.
      • Tavares T.P.
      • Anderson K.K.
      • Ferro M.A.
      • Speechley K.N.
      A systematic review of quality of life in parents of children with epilepsy.
      ]. QoL is a complex and multidimensional construct representing the general “well-being” of individuals by outlining individual negative and positive aspects of life. In this respect, QoL quantifies more than just physical health and includes many different aspects, such as family life, education, employment, wealth, freedom, and environmental aspects as well as personal and financial safety [
      • Kaplan R.M.
      • Ries A.L.
      Quality of life: concept and definition.
      ,
      • Villalonga-Olives E.
      • Kawachi I.
      • Almansa J.
      • Witte C.
      • Lange B.
      • Kiese-Himmel C.
      • et al.
      Pediatric health-related quality of life: a structural equation modeling approach.
      ].
      A significant proportion of epilepsies have their onset in childhood [
      • Camfield P.
      • Camfield C.
      Incidence, prevalence and aetiology of seizures and epilepsy in children.
      ]. Assuming a mean prevalence of 0.43% of epilepsy in children and adolescents in European countries, it can be surmised that more than 63,000 people aged younger than 18 years suffer from epilepsy in Germany [
      • Forsgren L.
      • Beghi E.
      • Oun A.
      • Sillanpaa M.
      The epidemiology of epilepsy in Europe - a systematic review.
      ]. To date, the available knowledge on QoL is limited in German children and adolescents with epilepsy and their caregivers, but several studies from other countries have suggested the existence of a decreased QoL in these populations, in line with findings in adult patients [
      • Cianchetti C.
      • Messina P.
      • Pupillo E.
      • Crichiutti G.
      • Baglietto M.G.
      • Veggiotti P.
      • et al.
      The perceived burden of epilepsy: impact on the quality of life of children and adolescents and their families.
      ,
      • Ferro M.A.
      Risk factors for health-related quality of life in children with epilepsy: a meta-analysis.
      ,
      • Ferro M.A.
      • Speechley K.N.
      Depressive symptoms among mothers of children with epilepsy: a review of prevalence, associated factors, and impact on children.
      ,
      • Puka K.
      • Widjaja E.
      • Smith M.L.
      The influence of patient, caregiver, and family factors on symptoms of anxiety and depression in children and adolescents with intractable epilepsy.
      ,
      • Rodenburg R.
      • Marie Meijer A.
      • Dekovic M.
      • Aldenkamp A.P.
      Family predictors of psychopathology in children with epilepsy.
      ,
      • Speechley K.N.
      • Ferro M.A.
      • Camfield C.S.
      • Huang W.
      • Levin S.D.
      • Smith M.L.
      • et al.
      Quality of life in children with new-onset epilepsy: a 2-year prospective cohort study.
      ,
      • Yam W.K.
      • Ronen G.M.
      • Cherk S.W.
      • Rosenbaum P.
      • Chan K.Y.
      • Streiner D.L.
      • et al.
      Health-related quality of life of children with epilepsy in Hong Kong: how does it compare with that of youth with epilepsy in Canada?.
      ,
      • Yong L.
      • Chengye J.
      • Jiong Q.
      Factors affecting the quality of life in childhood epilepsy in China.
      ]. With more and more individualized anticonvulsant therapies being introduced and a strong trend towards individually tailored therapeutic approaches growing, physicians and therapists should be aware regarding which factors have an influence on the QoL of their epilepsy patients. Similarly, the QoL of the caregivers of these patients should be considered carefully, especially in view of trends towards depression, which has been shown to have a negative influence on their wards [
      • Adewuya A.O.
      • Ola B.A.
      Prevalence of and risk factors for anxiety and depressive disorders in Nigerian adolescents with epilepsy.
      ,
      • Hoare P.
      Psychiatric disturbance in the families of epileptic children.
      ]. Several studies pointed out a high rate of depression for both mothers and fathers of children with epilepsy [
      • Ferro M.A.
      • Speechley K.N.
      Examining clinically relevant levels of depressive symptoms in mothers following a diagnosis of epilepsy in their children: a prospective analysis.
      ,
      • Ferro M.A.
      • Speechley K.N.
      What about dads? An exploratory analysis of depressive symptoms in paternal primary caregivers of children with epilepsy.
      ]. Moreover, a negatively impact on health related child QoL during the first 24 months after diagnosis has been revealed for maternal depression [
      • Ferro M.A.
      • Avison W.R.
      • Campbell M.K.
      • Speechley K.N.
      The impact of maternal depressive symptoms on health-related quality of life in children with epilepsy: a prospective study of family environment as mediators and moderators.
      ]. As possible reasons for increased prevalence of depression in caregivers, different psychosocial and medical factors have been discussed. Moreover, the importance of this multidirectional relationship of epilepsy, family environment, child and parent health as well as well-being has been strengthened by a large systematic review [
      • Puka K.
      • Tavares T.P.
      • Anderson K.K.
      • Ferro M.A.
      • Speechley K.N.
      A systematic review of quality of life in parents of children with epilepsy.
      ].
      This study was performed as an explanatory analysis with the following research questions derived from previous publications: (1) Does QoL in children and adolescents correlate with different sociodemographical and disease specific aspects? (2) Does QoL in caregivers correlate with different sociodemographical and disease specific aspects? (3) Does QoL children and adolescents reciprocally correlate with QoL in their caregivers?
      In addition, we quantified symptoms of depression in caregivers of children and adolescents with epilepsy, and determined their age adjusted QoL that was compared to QoL of the general German population.

      2. Patients and methods

      2.1 Study settings and design

      The study was designed as a cross-sectional survey and enrolled patients from two representative German states (Hessen and Schleswig-Holstein, which together have over 8.5 million inhabitants) at multiple sites. Both states offer comparable infrastructural settings with large rural and metropolitan regions and a standardized, comprehensive medical supply. Data acquisition was performed in 2011 by nine neuropediatricians (NP), seven specialized centers for social pediatrics (“Sozialpädiatrische Zentren”; SPZ), and three large epilepsy centers (EC). After receiving written informed consent from the patients’ parents or legal guardians, all children and adolescents younger than 18 years of age with medically confirmed epilepsy and their caregivers were deemed eligible, irrespective of seizure severity, duration of illness, and epilepsy syndrome. Participants were excluded when the diagnosis of epilepsy could not be confirmed, or participants had febrile convulsions only. For further details of the study protocol, please refer to Riechmann et al. [
      • Riechmann J.
      • Strzelczyk A.
      • Reese J.P.
      • Boor R.
      • Stephani U.
      • Langner C.
      • et al.
      Costs of epilepsy and cost-driving factors in children, adolescents, and their caregivers in Germany.
      ]. The seizure and epilepsy syndrome classifications were adapted to the latest definitions of the International League Against Epilepsy [
      • Scheffer I.E.
      • Berkovic S.
      • Capovilla G.
      • Connolly M.B.
      • French J.
      • Guilhoto L.
      • et al.
      ILAE classification of the epilepsies: position paper of the ILAE commission for classification and terminology.
      ,
      • Fisher R.S.
      • Cross J.H.
      • French J.A.
      • Higurashi N.
      • Hirsch E.
      • Jansen F.E.
      • et al.
      Operational classification of seizure types by the international league against epilepsy: position paper of the ILAE commission for classification and terminology.
      ]. The study had the approval of the local ethics committees.

      2.2 Data assessment

      The QoL values of children and adolescents were assessed using the age-adjusted and well-established KINDLR questionnaire [
      • Ravens-Sieberer U.
      • Bullinger M.
      Assessing health-related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results.
      ]. For children aged between four years and 11 years, the questionnaire by proxy was used, while older patients were asked to complete the self-reported version of the KINDLR questionnaire as recommended [
      • Ravens-Sieberer U.
      • Bullinger M.
      Assessing health-related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results.
      ]. Both versions of the KINDLR calculate QoL using several items that are weighted and then summed to a score ranging from 0 (poor) to 100 (excellent) [
      • Ravens-Sieberer U.
      • Bullinger M.
      Assessing health-related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results.
      ]. The KINDL questionnaire shows good internal consistency of item responses, factorial validity and invariance, as well as the convergent and known-groups validity of the child-report version and the parent-report version of the questionnaire [
      • Erhart M.
      • Ellert U.
      • Kurth B.M.
      • Ravens-Sieberer U.
      Measuring adolescents’ HRQoL via self reports and parent proxy reports: an evaluation of the psychometric properties of both versions of the KINDL-R instrument.
      ].
      The QoL and depression of caregivers was measured using the well-established EQ-5D [
      • EuroQol Group
      EuroQol—a new facility for the measurement of health-related quality of life.
      ,
      • Rabin R.
      • de Charro F.
      EQ-5D: a measure of health status from the EuroQol Group.
      ,
      • Konig H.H.
      • Bernert S.
      • Angermeyer M.C.
      [Health Status of the German population: results of a representative survey using the EuroQol questionnaire].
      ] questionnaire and Beck Depression Inventory II (BDI-II) [
      • Hiroe T.
      • Kojima M.
      • Yamamoto I.
      • Nojima S.
      • Kinoshita Y.
      • Hashimoto N.
      • et al.
      Gradations of clinical severity and sensitivity to change assessed with the Beck Depression Inventory-II in Japanese patients with depression.
      ,
      • Kuhner C.
      • Burger C.
      • Keller F.
      • Hautzinger M.
      Reliability and validity of the Revised Beck Depression Inventory (BDI-II). Results from German samples.
      ]. Following the recommendations of the BDI-II manual, caregivers with a BDI-II score of ≥13 points were classified as having symptoms of depression, and the subclassifications of minor (score: 13–19 points), moderate (score: 20–28 points), and severe (score ≥29 points) symptoms of depression were determined. Patients with a BDI-II score <13 points were classified as not having symptoms of depression [
      • Hiroe T.
      • Kojima M.
      • Yamamoto I.
      • Nojima S.
      • Kinoshita Y.
      • Hashimoto N.
      • et al.
      Gradations of clinical severity and sensitivity to change assessed with the Beck Depression Inventory-II in Japanese patients with depression.
      ,
      • Kuhner C.
      • Burger C.
      • Keller F.
      • Hautzinger M.
      Reliability and validity of the Revised Beck Depression Inventory (BDI-II). Results from German samples.
      ]. In the case of two or more caregivers existing for the same patient, the most involved/primary caregiver was asked to complete the questionnaire to ensure reliable results. In children aged less than four years QoL could not be determined as KINDLR questionnaires are not available for this very young age group. The caregivers completed only the BDI-II and EQ-5D questionnaires regarding their QoL and symptoms of depression. To correlate the measured items with sociodemographic- and disease-related aspects, seizure frequency, further chronic comorbidities, disability care situation, and treatment with anticonvulsants were assessed in detail, as described previously [
      • Riechmann J.
      • Strzelczyk A.
      • Reese J.P.
      • Boor R.
      • Stephani U.
      • Langner C.
      • et al.
      Costs of epilepsy and cost-driving factors in children, adolescents, and their caregivers in Germany.
      ]. In short, information on the epilepsy syndrome, seizure frequency, anticonvulsant therapy and concomitant diseases were provided by the treating physician. In line with the ILAE guidelines seizure freedom was defined as credible absence of seizures for ≥12 month at study entry [
      • Scheffer I.E.
      • Berkovic S.
      • Capovilla G.
      • Connolly M.B.
      • French J.
      • Guilhoto L.
      • et al.
      ILAE classification of the epilepsies: position paper of the ILAE commission for classification and terminology.
      ]. Level of disability is given to patients by the social security administration reflecting the overall amount of special needs of a patient. All other information was accessed using an established questionnaire for social and demographic aspects [
      • Riechmann J.
      • Strzelczyk A.
      • Reese J.P.
      • Boor R.
      • Stephani U.
      • Langner C.
      • et al.
      Costs of epilepsy and cost-driving factors in children, adolescents, and their caregivers in Germany.
      ].

      2.3 Data entry and statistical analysis

      Data were entered using the File Maker Pro 8.5 database software (Filemaker Inc., Santa Clara, CA, USA) using a double-entry procedure to minimize possible data input errors. Statistical analyses were performed using the SPSS Statistics 22 software (IBM Corp., Armonk, NY, USA). For more information on the structure and interpretation of KINDLR, BDI II, and EQ-5D, please refer to the available literature [
      • Ravens-Sieberer U.
      • Bullinger M.
      Assessing health-related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results.
      ,
      • EuroQol Group
      EuroQol—a new facility for the measurement of health-related quality of life.
      ,
      • Rabin R.
      • de Charro F.
      EQ-5D: a measure of health status from the EuroQol Group.
      ,
      • Kuhner C.
      • Burger C.
      • Keller F.
      • Hautzinger M.
      Reliability and validity of the Revised Beck Depression Inventory (BDI-II). Results from German samples.
      ]. Variance analysis using a nonparametric Kruskal–Wallis test with post-hoc correction for multiple testing after Benjamini–Hochberg [
      • Benjamini Y.
      • Drai D.
      • Elmer G.
      • Kafkafi N.
      • Golani I.
      Controlling the false discovery rate in behavior genetics research.
      ,
      • Benjamini Y.
      • Hochberg Y.
      Controlling the false discovery rate — a practical and powerful approach to multiple testing.
      ] was employed to identify potential correlating factors for lower QoL or depression. Linear regression was completed to analyze significant factors from the univariate analysis. Spearman correlation was applied to analyze for possible correlations between the QoL of children and adolescents and that or symptoms of depression of their caregivers. P-values of <0.05 after correction were regarded as being significant.

      3. Results

      3.1 Sociodemographic and clinical aspects of the study population

      During the one-year study period, 489 children and adolescents with epilepsy and their caregivers were enrolled. The criterion of a minimum age of four years as a requirement for the KINDLR questionnaire was met by 447 patients (92.2%), of which 392 (80.8%) provided completed questionnaires. Most patients (n = 253; 51.8%) were treated and enrolled by NP, followed by EC (n = 126; 26.0%) and SPZ (n = 110; 22.3%). Patients treated at SPZ were generally younger and had a shorter epilepsy duration as compared with patients treated at EC (p < 0.001, p = 0.002) or by NP (p < 0.001, p = 0.012). The mean age of participants at the time of study entry was 10.4 years (standard deviation: ±4.2 years, range: 0.5–17.8 years). Additionally, the mean disease duration was 5.7 years (±4.2 years, range 0–16 years), with a mean epilepsy onset occurring at an age of 4.7 years (±4.3 years, range 0–17 years). Gender distribution in our study was nearly balanced, with 46% of participants being female and 54% of participants being male. The majority of children and adolescents (96.2%) were found to be living with one (21.1%) or both parents (75.1%), with only 3.8% being taken care of by relatives, foster parents, or in a nursing home. Most patients suffered from symptomatic focal (structural–metabolic) epilepsy (39.5%), followed by idiopathic (genetic) generalized epilepsy (27.2%), idiopathic (self-limited) focal epilepsy (12.7%), or other epilepsies and epileptic syndromes (20.6%). A degree of ≥ 50% of disability according to the definition of the §2 German Code of Social Law, Book IX was reported as being present in 206 patients (44.8%), and 335 (68.5%) participants indicated existing comorbidities. For more details on the sociodemographic- and disease-specific aspects of the present study’s patient cohort, please refer to Table 1.
      Table 1Sociodemographic and clinical characteristics of the study population.
      Children and adolescents (n = 489)
      Age in years
      Mean ± standard deviation.
      10.4 ± 4.2 [range: 0.5–17.8]
      Sex, % (n)
       Female46.0 (225)
       Male54.0 (264)
      Epilepsy onset in years
      Mean ± standard deviation.
      4.7 ± 4.3 [range: 0–17]
      Epilepsy duration in years
      Mean ± standard deviation.
      5.7 ± 4.2 [range: 0–16]
      Seizures in the past 12 months, % (n)
       Persisting seizures58.3 (285)
       Seizure freedom (≥12 months)41.7 (204)
      Primary caregiver (household with), % (n)
       Both parents75.1 (367)
       One parent21.1 (103)
       Relatives, foster parents, nursing home3.5 (17)
       N/A7.3 (2)
      Epilepsy syndrome, % (n)
       Idiopathic focal epilepsy12.7 (62)
       Symptomatic focal epilepsy39.5 (193)
       Idiopathic generalized epilepsy27.2 (133)
       Symptomatic generalized epilepsy6.7 (33)
       Other generalized epilepsies11.2 (55)
       Other2.6 (13)
      Degree of disability, % (n)
      After §2 German Code of Social Law, Book IX, in 29 patients no information available.
       None or <50%55.2 (254)
       ≥50%44.8 (206)
      Comorbidities
       Yes68.5 (335)
       No31.5 (154)
      N/A = not applicable.
      a Mean ± standard deviation.
      b After §2 German Code of Social Law, Book IX, in 29 patients no information available.
      In line with the number of patients, 489 caregivers were enrolled in this study, most of them parents or relatives (97.2%). Mean age of mothers was 39.9 years (±6.5, range 21–59) and of fathers 43.3 years (±7.4, range 21–76). The overall employment rate of mothers (60.5%) and fathers (81.2%) was high.

      3.2 Correlating factors of QoL in children and adolescents with epilepsy

      The mean QoL of the patients according KINDLR questionnaire was 70.7 (± 12.5, range: 33–100). A lower QoL was significantly related with missing seizure freedom (p = 0.046) in children and adolescents between the ages of 11 years and 18 years. In addition, the presence of concomitant diseases (p = 0.007), recent hospitalization (p = 0.049), recent status epilepticus (p = 0.035), a relevant degree of disability ≥50% (p = 0.007), and residence in a nursing home or with foster parents (p = 0.049) were significant correlating factors of a lower QoL score. There were no significant differences in QoL with respect to patients’ age, sex, duration of disease, etiology, family situation, or enrolling health care sector. For a detailed overview on the tested variables, please refer to Table 2.
      Table 2Univariate correlation of personal, sociodemographic and disease related aspects with QoL of children and adolescents aged four years and older (n = 392).
      nKINDLp-Value
      p-Values were calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      MeanSDMinimumMaximum
      Age
       4–10 years17571.012.336.595.80.888
       11–18 years21770.612.733.3100.0
      Sex
       Male20970.012.933.397.90.423
       Female18371.712.034.4100.0
      Duration of disease
       0–2 years10772.212.634.495.80.423
       3–10 years19871.012.040.2100.0
       >10 years4469.712.544.892.7
      Health care sector
       Neuropediatrician19869.913.034.4100.00.422
       Specialized center for social pediatrics8370.912.241.397.9
       Epilepsy center11172.311.833.392.7
      Epilepsy syndrome
       Idiopathic epilepsy18571.112.134.497.90.888
       Non-idiopatic epilepsy20170.513.033.3100.0
      Seizure freedom (≥ 12 months)
       Age 4–10 years
      Yes7972.012.140.295.80.652
      No8169.812.736.595.0
       Age 11–18 years
      Yes9873.012.344.8100.00.046
      No13069.012.033.392.7
      Status epilepticus during the last 12 months
       Yes3062.414.733.389.60.035
       No28571.312.234.497.9
      Other chronic disease
       Yes24968.613.233.395.00.007
       None14374.610.234.4100.0
      Primary caregiver(s)
       Both parents29071.312.236.5100.00.691
       One parent8770.412.634.494.8
       Biological parents/relatives37771.112.234.4100.00.049
       Foster parents/nursing home1362.713.740.589.6
      Hospital stay
       Yes7268.013.533.388.90.049
       No26272.212.636.5100.0
      Level of disability
       None or <50%23272.512.334.4100.00.007
       ≥50%13968.212.140.592.7
      Bold print shows significant p-values < 0.5.
      * p-Values were calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      A multiple regression analysis was performed for all children and adolescents to search for correlating factors between QoL and the significant findings of the univariate risk factor analysis using disability, status epilepticus, concomitant diseases, recent hospitalization, and the existence of primary caregivers as factors. Concomitant diseases and primary caregivers statistically correlated with QoL (F = 5.07, p < 0.0001, adjusted R2 = 0.068).

      3.3 QoL and symptoms of depression in caregivers

      The QoL of caregivers was analyzed using both the index value (n = 462) and visual analogue scale (VAS, n = 366) of the EQ-5D score. For both items, longer disease duration (both: p = 0.004), non-idiopathic epilepsy (index: p = 0.003, VAS: p = 0.025), missing seizure freedom (both: p = 0.003), presence of concomitant diseases (both: p = 0.003), a relevant disability (index: p = 0.003, VAS: p = 0.046), recent status epilepticus (index: p = 0.003, VAS: p = 0.012), and unemployment of the primary caretaker (index: p = 0.010, VAS: p = 0.010) were significantly associated with lower QoL. EQ5-D VAS results were used to compare age group-specific QoL values with data from a healthy German population. Here, mean QoL was 81.5 (±13.2, range: 50–100, n = 18) for caregivers in the age range of 20 years to 29 years; 76.1 (±17.0, range: 10–100, n = 130) for caregivers in the age range of 30 years to 39 years; 76.3 (±16.9, range: 20–100, n = 182) for caregivers in the age range of 40 years to 49 years; 77.0 (±16.5, range: 40–100, n = 25) for caregivers in the age range of 50 years to 59 years; and 66.0 (±22.6, range: 50–80, n = 2) for caregivers in the age range of 60 years to 69 years. For a comparison between the QoL of caregivers in our study population and that of a healthy German cohort, please refer to Fig. 1.
      Fig. 1
      Fig. 1QoL in caregivers of children and adolescents with epilepsy. As compared with a healthy German population [
      • Huber M.B.
      • Reitmeir P.
      • Vogelmann M.
      • Leidl R.
      EQ-5D-5L in the general german population: comparison and evaluation of three yearly cross-section surveys.
      ], the QoL of caregivers of children and adolescents with epilepsy is lower in all age groups (measured using the VAS of the EQ5-D questionnaire).
      To better characterize the poor QoL in caregivers each single dimension of EQ-5D score was calculated to allow a differentiated interpretation of the results, p-values were corrected for multiple testing. The dimension “pain/discomfort” was the most relevant constrain being significant in 6 of 7 analyzed aspects (longer disease duration, non-idiopathic epilepsy, active epilepsy, history of status epilepticus, other chronic disease, and level of disability of 50% and more). The dimensions “anxiety/depression” were affected in 5 out of 7 analyzed aspects, “usual activities” in 4 out of 7, and “mobility” in 3 out of 5, for details please refer to Table 3. The dimension “self-care” did not contribute to the poor QoL in caregivers.
      Table 3Univariate correlation of sociodemographic and disease related factors with QoL and depression of caregivers.
      EQ-5D Dimension p-value*EQ-5D IndexEQ-5D VASBDI-II
      MobilitySelf-CareUsual ActivitiesPain, DiscomfortAnxiety, DepressionnMeanSDp-ValuenMeanSDp-ValuenNo depression n (%)Depression n (%)p-Value
      Duration of disease
       0–2 years0.105
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.098
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.126
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.0040.0311410.930.100.004
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      14977.716.10.004
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      143126 (88.1)17 (11.9)0.226
       3–10 years2130.910.1522477.317.7221198 (89.6)23 (10.4)
       >10 years640.870.166769.916.46452 (81.2)12 18.8()
      Caregiver
       Both parents0.900
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.364
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.212
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.204
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.911
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      3540.920.140.243
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      36776.916.50.442
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      355315 (88.7)40 (11.3)0.237
       Single parent930.910.1410273.919.310185 (84.2)16 (15.8)
      Epilepsy syndrome
       Idiopathic epilepsy0.312
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.254
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.006*0.004
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.004
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      1870.940.100.003
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      19578.416.20.025
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      188176 (93.6)12 (6.4)0.003
       Non-idiopathic epilepsy2670.90.1628676.417.4277231 (83.4)46 (16.6)
      Seizure frequency
       Seizure remission0.968
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.966
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.057
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.006
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.006
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      1050.910.100.003
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      28579.316.20.003
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      198184 (92.9)14 (7.1)0.007
       Active epilepsy3570.920.1520470.417.6275231 (84.0)44 (16.0)
      Status epilepticus
       Yes0.105
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.173
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.004*0.049
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.030
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      300.840.200.003
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      3065.620.20.012
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      2819 (67.9)9 (32.1)0.004
       No3470.920.1434776.817.1338301 (89.1)37 (10.9)
      Other chronic disease
       None0.004
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.126
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.004
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.004
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.097
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      1470.960.070.003
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      15482.612.70.003
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      149143 (96.0)6 (4.0)0.004
       Yes3150.900.1633573.518.1324272 (84.0)52 (16.0)
      Level of disability
       None or < 50%0.019
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.160
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.004
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.004
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.004
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      2410.940.110.003
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      25479.915.10.046
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      245228 (93.0)17 (7.0)0.004
       ≥ 50%1960.880.1620672.618.5202163 (80.7)39 (19.3)
      Employment status of primary caretaker
       Not working0.000
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.254
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.900
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.086
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      0.623
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      1520.890.180.010
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      15272.818.40.010
      p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      152107 (70.4)45 (29.6)0.582
       Working3020.940.0930277.916.2302220 (72.8)82 (27.2)
      * p-Values calculated using the Kruskal–Wallis test with post-hoc correction for multiple testing via the Benjamini–Hochberg method.
      Symptoms of depression in primary caregivers were assessed using the BDI-II questionnaire. In 28.1% (n = 133) of caregivers, a BDI-II score of 13 points or more representing suspected depression was calculated, with 85 cases (18.0%) having mild, 37 cases (7.8%) having moderate, and 11 cases (2.3%) having severe symptoms of depression, respectively. The presence of a non-idiopathic epilepsy (p = 0.003), concomitant diseases (p = 0.004), missing seizure freedom (p = 0.007), status epilepticus (p = 0.004), and/or a relevant disability of the ward (p = 0.004) were associated with significantly increased symptoms of depression among caregivers. In contrast, disease duration, living in a one-parent household, and unemployment of the primary caretaker did not show a significant influence on the QoL of caregivers. For detailed information on the analyzed variables regarding QoL and symptoms of depression in caregivers, please refer to Table 3. As a measure for internal reliability, bivariate correlation between BDI-II score and the EQ5-D item “anxiety/depression” was performed. All calculated measures for correlation were highly significant (Spearman-Rho 0.001, Person 0.01, Kendall-Tau-b 0.01).
      A multiple regression was run for all children and adolescents to search for correlating factors between QoL and depression from the significant findings of the univariate risk factor analysis. For QoL, duration of disease, epilepsy syndrome, seizure freedom, status epilepticus, concomitant diseases, disability, and unemployment were used. Disability and unemployment of the primary caregiver significantly correlated with a lower QoL (F = 4.916, p < 0.0001, adjusted R2 = 0.1). For depression, epilepsy syndrome, seizure freedom, status epilepticus, concomitant diseases, and disability were analyzed. Presence of concomitant diseases in the patient was a correlating factor for caregiver depression (F = 7.707, p < 0.0001, adjusted R2 = 0.1).

      3.4 Correlation between the QoL of patients and the QoL and depression of caregivers

      Spearman correlation revealed a significant positive correlation between the QoL of children and adolescents (KINDLR) and the EQ-5D VAS (r = 0.221, p < 0.001) as well as between the KINDLR score and EQ-5D index (r = 0.215, p < 0.001) of their caregivers. A negative correlation was found between the QoL of patients (KINDLR) and the depression of their caregivers (BDI-II: r = −0.321, p < 0.001). In addition, a negative correlation between depression (BDI-II) and QoL in caregivers was present (EQ-5D index: r = −0.539, p < 0.001; EQ-5D VAS: r = −0.583, p < 0.001).

      4. Discussion

      The present study was designed to identify factors correlating with poor QoL in children and adolescents with epilepsy as well as regarding QoL and depression of their caregivers in Germany. Therefore, a cross-sectional representative study population of children and adolescents was recruited by NP, SPZ, and EC. Age-specific established questionnaires were used to assess the chosen parameters and to help in the analysis for correlating factors.
      The mean QoL of children and adolescents with epilepsy of ages four years to 17 years in our study population was 70.7 (±12.5, range: 33–100). As compared with reference values from other studies conducted involving healthy German children with a mean QoL of 76.3 or 76.9, respectively [
      • Ravens-Sieberer U.
      • Erhart M.
      • Wille N.
      • Bullinger M.
      • group, B.s
      Health-related quality of life in children and adolescents in Germany: results of the BELLA study.
      ,
      • Ravens-Sieberer U.
      • Ellert U.
      • Erhart M.
      Health-related quality of life of children and adolescents in Germany. Norm data from the German Health Interview and Examination Survey (KiGGS).
      ], the patients with epilepsy in our study demonstrated poorer QoL. Within the study population, concomitant diseases, recent hospitalization, status epilepticus, and disability correlated with a lower QoL. In addition, missing seizure freedom was associated with a significantly lower QoL, but only in older children (i.e., those aged 11–18 years), a finding that may be attributed to the increasing importance of social acceptance, autonomy, and mobility in the pubescent adolescent population. These results are in line with those of a previous meta-analysis that identified comorbidity, active epilepsy, focal epilepsy, and seizure severity among others as relevant factors for decreased QoL [
      • Ferro M.A.
      Risk factors for health-related quality of life in children with epilepsy: a meta-analysis.
      ]. In contrast to previous publications, however, we were not able to detect any significant influences of gender, age, or disease duration on the QoL of children and adolescents in our study population [
      • Ferro M.A.
      Risk factors for health-related quality of life in children with epilepsy: a meta-analysis.
      ,
      • Ravens-Sieberer U.
      • Erhart M.
      • Wille N.
      • Bullinger M.
      • group, B.s
      Health-related quality of life in children and adolescents in Germany: results of the BELLA study.
      ,
      • Ravens-Sieberer U.
      • Ellert U.
      • Erhart M.
      Health-related quality of life of children and adolescents in Germany. Norm data from the German Health Interview and Examination Survey (KiGGS).
      ]. As possible reasons for this, either the time lag between both studies (2003–2006 vs. 2011) with different improvements in AEDs, ambulatory care and seizure control, the number of enrolled subjects (2863 vs. 489) or differences in the surveyed population could be attributed (representative choice of a large national survey vs. regional multicenter-survey). However, there was also no difference in QoL regarding different health care sectors (i.e., NP, SPZ, EC).
      Consistent with the findings in the children and adolescents, the results from caregivers revealed a remarkably poorer QoL in the VAS (study population: 76.2 versus reference: 84.3) of the EQ-5D questionnaire as compared with healthy controls [
      • Huber M.B.
      • Reitmeir P.
      • Vogelmann M.
      • Leidl R.
      EQ-5D-5L in the general german population: comparison and evaluation of three yearly cross-section surveys.
      ].
      In line with other studies [
      • Ferro M.A.
      Risk factors for health-related quality of life in children with epilepsy: a meta-analysis.
      ,
      • Dehn L.
      • Korn-Merker E.
      • Pfäfflin M.
      • Fischbach H.
      • Frantz M.
      • Hauser A.
      • et al.
      Assessment of the burden for parents of epileptic children. Psychometric evaluation of a short form of the “Familien-Belastungs-Fragebogen”.
      ], non-idiopathic (i.e. focal or generalized symptomatic, mainly structural-metabolic according to newest ILAE classification) epilepsy, missing seizure freedom, a concomitant disease, a relevant disability, incidence of status epilepticus, and unemployment of the primary caregiver were identified as potential risk factors for poorer QoL in the caregiver. Interestingly, a longer disease duration was associated with a poorer QoL in caregivers, but not so in patients themselves, which has already been described by Ferro et al. [
      • Ferro M.A.
      Risk factors for health-related quality of life in children with epilepsy: a meta-analysis.
      ]. Though the exact reasons for this finding remain unclear, habituation and a different time perception in children and adolescents may contribute to this phenomenon [
      • Droit-Volet S.
      Time perception in children: a neurodevelopmental approach.
      ]. Looking at the single items of the EQ-5D questionnaire, a differentiated pattern of significant sub scores for every factor correlating with a poorer QoL in caregivers became visible. For most tested categories, the item of “anxiety/depression” reached levels of significance, which underlines the strong effect of epilepsy on the mood of caregivers, which has been extensively shown for mothers and fathers in previous studies [
      • Ferro M.A.
      • Speechley K.N.
      Examining clinically relevant levels of depressive symptoms in mothers following a diagnosis of epilepsy in their children: a prospective analysis.
      ,
      • Ferro M.A.
      • Speechley K.N.
      What about dads? An exploratory analysis of depressive symptoms in paternal primary caregivers of children with epilepsy.
      ,
      • Ferro M.A.
      • Avison W.R.
      • Campbell M.K.
      • Speechley K.N.
      The impact of maternal depressive symptoms on health-related quality of life in children with epilepsy: a prospective study of family environment as mediators and moderators.
      ]. The item “Self-care” did not reach any level of significance in all analyzed factors, which might be explained by the fact that parents are usually not suffering from chronic illnesses themselves. Furthermore, the self-sacrifying behavior with unaccomplished desires and lifegoals has been already described in parents of children with epilepsy [
      • Gauffin H.
      • Flensner G.
      • Landtblom A.-M.
      Being parents with epilepsy: thoughts on its consequences and difficulties affecting their children.
      ]. A recent publication showed a strong correlation between seizure severity and caregiver QoL in patients with medically intractable epilepsy, which could not be verified in the present study due to missing information on individual seizure semiology and severity [
      • Jain P.
      • Subendran J.
      • Smith M.L.
      • Widjaja E.
      • Team P.S.
      Care-related quality of life in caregivers of children with drug-resistant epilepsy.
      ]. QoL of children and adolescents positively correlated with QoL of their caregivers, in line with prior publications [
      • Ferro M.A.
      Risk factors for health-related quality of life in children with epilepsy: a meta-analysis.
      ].
      As an additional parameter for the epilepsy-related burden on caregivers, symptoms of depression were analyzed using BDI-II score. Overall, 28.1% (n = 133) of the caregivers met the criterion for depression, having a BDI-II score ≥ 13 points, which is low in comparison with other research that has reported depression rates of up 49% in caregivers [
      • Ferro M.A.
      • Speechley K.N.
      Depressive symptoms among mothers of children with epilepsy: a review of prevalence, associated factors, and impact on children.
      ]. BDI-II score and EQ-5D item “anxiety/depression” showed a significant correlation, which underlines the validity of both measurements.
      In line with other publications, we identified missing seizure freedom, status epilepticus, presence of concomitant diseases, and a relevant disability of the ward as factors associated with depression among caregivers [
      • Ferro M.A.
      • Speechley K.N.
      Depressive symptoms among mothers of children with epilepsy: a review of prevalence, associated factors, and impact on children.
      ,
      • Mu P.F.
      • Kuo H.C.
      • Chang K.P.
      Boundary ambiguity, coping patterns and depression in mothers caring for children with epilepsy in Taiwan.
      ]. However, family circumstances like unemployment of the primary caregiver or living in a single-parent family did not show a significant impact on the existence of depression of caregivers, which is in contrast to the findings of other studies on this subject [
      • Ferro M.A.
      • Speechley K.N.
      Depressive symptoms among mothers of children with epilepsy: a review of prevalence, associated factors, and impact on children.
      ]. Here, especially regional and national differences, such as statutory social aids and unemployment compensation, could have had an influence on the particular results. In line with most other publications, though [
      • Adewuya A.O.
      • Ola B.A.
      Prevalence of and risk factors for anxiety and depressive disorders in Nigerian adolescents with epilepsy.
      ,
      • Hoare P.
      Psychiatric disturbance in the families of epileptic children.
      ], our data show a significant negative correlation between the QoL of patients and symptoms of depression in caregivers, which underlines the secondary impact of the diseases of their wards on caregivers that has been shown to exist for many chronic neurological and non-neurological diseases in both adult and pediatric patients [
      • Liu S.
      • Li C.
      • Shi Z.
      • Wang X.
      • Zhou Y.
      • Liu S.
      • et al.
      Caregiver burden and prevalence of depression, anxiety and sleep disturbances in Alzheimer’s disease caregivers in China.
      ,
      • Santos-Garcia D.
      • de la Fuente-Fernandez R.
      Factors contributing to caregivers’ stress and burden in Parkinson’s disease.
      ,
      • Weisser F.B.
      • Bristowe K.
      • Jackson D.
      Experiences of burden, needs, rewards and resilience in family caregivers of people living with Motor Neurone Disease/Amyotrophic Lateral Sclerosis: a secondary thematic analysis of qualitative interviews.
      ,
      • Mansfield E.
      • Bryant J.
      • Regan T.
      • Waller A.
      • Boyes A.
      • Sanson-Fisher R.
      Burden and unmet needs of caregivers of chronic obstructive pulmonary disease patients: a systematic review of the volume and focus of research output.
      ,
      • Khanna A.K.
      • Prabhakaran A.
      • Patel P.
      • Ganjiwale J.D.
      • Nimbalkar S.M.
      Social, psychological and Financial Burden on caregivers of children with chronic illness: a cross-sectional study.
      ].
      Despite the careful study design, this QoL study suffers from certain limitations inherent to such investigations. The chosen study design of a cross-sectional study does only allow to highline correlations, but no causal relationships can be drawn between the analyzed sociodemographical or disease related aspects. Furthermore the value of R² was low and might point to a high variation in answers. In addition, it should be noted that, as in the case of most regionally performed studies, unapparent regional or national factors could have led to bias in our analysis. Moreover, more cognitively restricted children may not have been able to answer the questionnaire by themselves. Given that disabled children have a lower QoL [
      • Ncube B.L.
      • Perry A.
      • Weiss J.A.
      The quality of life of children with severe developmental disabilities.
      ], the answering of the questionnaire by proxy may not accurately reflect the QoL of these patients. Furthermore, analysis of QoL in children was only possible in those 4 years of age and older, which decreased the numbers for correlation analysis. However, the design of the present study, which included a large population enrolled from multiple sites covering all health care sectors and which maintained consideration of the primary caregiver, should reduce the impact of possible biases to a minimum. Another limitation of this study refers to the transferability of its results to other publications on this topic from abroad due to different cultural acceptance and perception of depression. However, due to similar sociocultural aspects, our results should be comparable to other studies from Europe, the UK or Northern America. In contrast to the mentioned limitations, especially the high number of participants, the multi-center design and the use of established tools and questionnaires represent individual strengths of the present study. To further address the question of a causal relationship between different disease specific, social as well as demographical factors with QoL of children and adolescents with epilepsy as well as their caregivers, a longitudinal study is needed, which should be ideally based on a cohort with newly diagnosed epilepsy.

      5. Conclusion

      Taken together, the results of our study underline the burden of epilepsy on children and adolescents as well as their caregivers with respect to psychosocial consequences like QoL and depression. Especially in younger patients, diagnostic and therapeutic strategies often must be exhausted in an early stage of the disease so as to reach a sufficient seizure control, decrease the risk of status epilepticus, and reduce the frequency of inpatient admissions. In addition, a second focus should be set on the improvement of concomitant diseases and training or the acceptance of physical or cognitive disabilities to improve the QoL of patients and caregivers.

      Conflicts of interest

      R. Boor reports personal fees from Desitin Arzneimittel.
      M. Kieslich reports personal fees from Bial, Desitin Arzneimittel, Eisai, Proveca and Shire.
      S. Knake reports honoraria for speaking engagements from Desitin and UCB as well as educational grants from AD Tech, Desitin Arzneimittel, Eisai, GW, Medtronic, Novartis, Siemens and UCB.
      S. Schubert-Bast reports personal fees from UCB, Eisai, Desitin Pharma, LivaNova and Zogenix.
      F. Rosenow reports personal fees from Eisai, UCB, Desitin Arzneimittel, Novartis, Medtronic, Cerbomed, Sandoz, GW-Pharma, BayerVital and Shire, grants from the European Union, Deutsche Forschungsgemeinschaft and the Detlev-Wrobel-Fonds for Epilepsy research.
      H.M. Hamer has served on the scientific advisory board of cerbomed, Desitin, Eisai, GW, Novartis, and UCB Pharma. He served on the speakers’ bureau of or received unrestricted grants from Amgen, Ad-Tech, Bial, Bracco, Cyberonics, Desitin, Eisai, Hexal, Nihon Kohden, Novartis, Pfizer, and UCB Pharma.
      A. Strzelczyk reports personal fees and grants from Desitin Arzneimittel, Eisai, GW pharma, LivaNova, Medtronic, Sage Therapeutics, UCB Pharma and Zogenix.
      None of the other authors have any conflict of interest to disclose.

      Acknowledgments

      We are grateful to all our colleagues and staff at the study centers for assistance in conducting the study. The study was supported by an unrestricted grant from UCB Pharma. The funding source had no role in the study design, data collection, data analysis, data interpretation, or writing of the manuscript. We confirm that we have read the Journal’s position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.

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