Association Between Frailty and Antiseizure Medication Tolerability in Older Adults With Epilepsy

被引:6
作者
Vary-O'Neal, Arielle [1 ,2 ]
Miranzadeh, Sareh [3 ]
Husein, Nafisa [1 ,4 ]
Holroyd-Leduc, Jayna [5 ]
Sajobi, Tolulope T. T. [6 ,7 ]
Wiebe, Samuel [6 ,7 ]
Deacon, Charles [8 ]
Tellez-Zenteno, Jose Francisco [3 ]
Josephson, Colin Bruce [6 ,7 ]
Keezer, Mark R. R. [1 ,2 ,4 ]
机构
[1] Univ Montreal crCHUM, Ctr Rech, Ctr hosp, Montreal, PQ, Canada
[2] Univ Montreal, Dept Neurosci, Montreal, PQ, Canada
[3] Univ Saskatchewan, Div Neurol, Saskatoon, SK, Canada
[4] Univ Montreal, Sch Publ Hlth, Montreal, PQ, Canada
[5] Univ Calgary, Dept Med, Calgary, AB, Canada
[6] Univ Calgary, Dept Clin Neurosci, Calgary, AB, Canada
[7] Univ Calgary, Hotchkiss Brain Inst, Calgary, AB, Canada
[8] Ctr Hosp Univ Sherbrooke CHUS, Div Neurol, Sherbrooke, PQ, Canada
关键词
GENERALIZED ANXIETY DISORDER; QUALITY-OF-LIFE; MAJOR DEPRESSION; RAPID DETECTION; COUNT DATA; COMORBIDITY; PREVALENCE; VALIDATION; RISK; RELIABILITY;
D O I
10.1212/WNL.0000000000201701
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and ObjectiveFrailty is an important aspect of biological aging, referring to the increased vulnerability of individuals with frailty to physical and psychological stressors. While older adults with epilepsy are an important and distinct clinical group, there are no data on frailty in this population. We hypothesize that frailty will correlate with the seizure frequency and especially the tolerability of antiseizure medications (ASMs) in older adults with epilepsy.MethodsWe recruited individuals aged 60 years or older with active epilepsy from 4 Canadian hospital centers. We reported the seizure frequency in the 3 months preceding the interview, while ASM tolerability was quantified using the Liverpool Adverse Events Profile (LAEP). We applied 3 measures of frailty: grip strength as a measure of physical frailty, 1 self-reported score (Edmonton frail score [EFS]), and 1 scale completed by a healthcare professional (clinical frailty scale [CFS]). We also administered standardized questionnaires measuring levels of anxiety, depression, functional disability, and quality of life and obtained relevant clinical and demographic data.ResultsForty-three women and 43 men aged 60-93 years were recruited, 87% of whom had focal epilepsy, with an average frequency of 3.4 seizures per month. Multiple linear regression and zero-inflated negative binomial regression models showed that EFS and CFS scores were associated with decreased ASM tolerability, each point increase leading to 1.83 (95% CI: 0.67-4.30) and 2.49 (95% CI: 1.27-2.39) point increases on the LAEP scale, respectively. Neither the EFS and CFS scores nor grip strength were significantly associated with seizure frequency. The EFS was moderately correlated with depression, anxiety, quality of life, and functional disability, demonstrating the best construct validity among the 3 tested measures of frailty.DiscussionThe EFS was significantly, both statistically and clinically, associated with ASM tolerability. It also showed multiple advantages in performance while assessing for frailty in older adults with epilepsy, when compared with the 2 other measures of frailty that we tested. Future studies must focus on what role the EFS during epilepsy diagnosis may play in ASM selection among older adults with epilepsy.
引用
收藏
页码:E1135 / E1147
页数:13
相关论文
共 50 条
  • [1] Agreement Between 35 Published Frailty Scores in the General Population
    Aguayo, Gloria A.
    Donneau, Anne-Francoise
    Vaillant, Michel T.
    Schritz, Anna
    Franco, Oscar H.
    Stranges, Saverio
    Malisoux, Laurent
    Guillaume, Michele
    Witte, Daniel R.
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2017, 186 (04) : 420 - 434
  • [2] Psychological well-being in relation to frailty: a frailty identity crisis?
    Andrew, Melissa K.
    Fisk, John D.
    Rockwood, Kenneth
    [J]. INTERNATIONAL PSYCHOGERIATRICS, 2012, 24 (08) : 1347 - 1353
  • [3] [Anonymous], 2019, R: A language and environment for statistical computing v. 3.6.1
  • [4] [Anonymous], 2002, MODERN APPL STAT S C
  • [5] Aging and the Epidemiology of Epilepsy
    Beghi, Ettore
    Giussani, Giorgia
    [J]. NEUROEPIDEMIOLOGY, 2018, 51 (3-4) : 216 - 223
  • [6] Zero-inflated models for regression analysis of count data: a study of growth and development
    Bin Cheung, Y
    [J]. STATISTICS IN MEDICINE, 2002, 21 (10) : 1461 - 1469
  • [7] Epilepsy in later life
    Brodie, Martin J.
    Elder, Andrew T.
    Kwan, Patrick
    [J]. LANCET NEUROLOGY, 2009, 8 (11) : 1019 - 1030
  • [8] Bruce N, 2008, Quantitative Methods for Health Research - A Practical Interactive Guide to Epidemiology and Statistics
  • [9] A COEFFICIENT OF AGREEMENT FOR NOMINAL SCALES
    COHEN, J
    [J]. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1960, 20 (01) : 37 - 46
  • [10] A brief questionnaire to screen for quality of life in epilepsy: The QOLIE-10
    Cramer, JA
    Perrine, K
    Devinsky, O
    Meador, K
    [J]. EPILEPSIA, 1996, 37 (06) : 577 - 582