Cosmetic Side Effects of Antiepileptic Drugs in Dults With Epilepsy

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    VPA-related CSEs (30.6% vs. 11.9%; p b 0.05) and ICSEs (18.1% vs. 7.9%;

    p b0.05) compared with male patients. In females, more CSEs and

    ICSEs were also attributed to PGB (CSE: 10.8%; ICSE: 6.5%) than to the

    average of other AEDs (Table 2b). In males, more CSEs were attributed

    to PGB (8.0%) and PHT (4.9%) (Table 2c).

    In patients newly started on one of the AEDsin monotherapy, signif-icantly more CSEs (30.2%) and ICSEs (17.1%) were observed in patients

    takingVPA compared with the average (Supplementary Table 5).Only 9

    patients were newly started on PGBin monotherapy,and the rate of CSE

    and ICSE was not signicantly different from the average.

    3.4. Specic CSE and ICSE analysis

    3.4.1. Weight gain

    Weight gain was reported in 3.6% (68/1903) of the patients and was

    themost commonCSE (68/110, 61.8%). Intolerability to weightgain was

    reported in 3.3% (63/1903) of the patients. Specically, higher inci-

    dences of weight gain (attributed: 4.3% vs. 2.6%, p b 0.05; intolerable:

    4.2%vs. 2.1%, p b0.05) werereported inwomen than inmen (Fig. 1).Pa-

    tients who reported weight gain as a CSE had, on average, 7.68 kg or

    10.4% increase from their weight before starting an AED blamed for

    weight gain. Of these patients, the men, on average, had an absolute

    gain of 8.51 kg and a relative gain of 10.0%, while the women, on aver-

    age, had an absolute gain of 7.19 kg and a relative gain of 10.8%.

    Signicantly more patients taking PGB (12/143, 8.4%) and patients

    taking VPA (35/270, 13.0%) experienced weight gain compared withthe average rate of patients taking all other AEDs (p b0.001). Some

    cases of weight gain were seen in patients taking gabapentin (7/251;

    2.8%; NS) (Table 2d). All of the patients who experienced PGB-

    attributed weightgain either decreased or discontinuedthe medication,

    while all but one of the patients who experienced VPA-attributed

    weight gain either decreased or discontinued the drug. In patients

    who developed weight gain attributed to an AED, the average time

    from introduction of the drug to dosage change or discontinuation

    was127 days (range = 8722; IQR = 81; SD = 248). Time to intolera-

    bility in PGB-attributed weight gain was 107 days (range =5465;

    IQR = 61; SD = 204), and time to intolerability in VPA-attributed

    weight gain was 133 days (range = 7903; IQR = 92; SD = 280).

    Time to intolerability appeared to be similar for all AEDs (p N0.05)

    (Supplementary Table 6).

    Table 2a

    Comparison of AED-attributed cosmetic side effects in adults with epilepsy newly started on an AED.

    AED nCSE% (n) pValue OR

    ICSE% (n) pValue OR

    CBZ 326 1.5 (5) 0.031* 0.40 (0.18, 0.92) 0.6 (2) 0.045* 0.31 (0.10, 0.97)

    CLB 80 0.0 (0) NS 0.0 (0) NS

    FBM 53 1.9 (1) NS 0.89 (0.21, 3.64) 1.9 (1) NS 1.37 (0.33, (5.72)

    GBP 251 2.8 (7) NS 0.74 (0.36, 1.52) 1.2 (3) NS 0.55 (0.20, 1.52)

    LCM 86 0.0 (0) NS 0.0 (0) NS

    LEV 524 1.3 (7) 0.002** 0.32 (0.15, 0.65) 1.0 (5) 0.019* 0.37 (0.16, 0.85)

    LTG 521 1.9 (10) 0.012* 0.45 (0.24, 0.84) 1.0 (5) 0.020* 0.37 (0.16, 0.86)

    OXC 160 0.6 (1) NS 0.28 (0.07, 1.13) 0.6 (1) NS 0.43 (0.11, 1.78)

    PB 98 0.0 (0) NS 0.0 (0) NS

    PGB 143 9.8 (14) < 0.001** 2.85 (1.63, 5.01) 5.6 (8) 0.011* 2.51 (1.24, 5.09)

    PHT 404 4.2 (17) NS 1.07(0.65, 1.78) 3.2 (13) NS 1.32 (0.74, 2.34)

    PRM 14 0.0 (0) NS 0.0 (0) NS

    TGB 25 0.0 (0) NS 0.0 (0) NS

    TPM 230 1.7 (4) NS 0.49 (0.20, 1.20) 1.7 (4) NS 0.77 (0.31, 1.92)

    VGB 32 3.1 (1) NS 1.48 (0.35, 6.26) 0.0(0) NS

    VPA 270 21.9 (59) < 0.001** 10.40 (7.26, 14.88) 13.3 (36) < 0.001** 8.55 (5.54, 13.18)

    ZNS 230 0.9 (2) 0.033* 0.29 (0.09, 0.91) 0.0 (0) NS

    Average 3.7 2.3

    Abbreviations: AED: antiepileptic drug; CSE: cosmetic side effect; CBZ: carbamazepine; CI: condence interval; CLB: clobazam; FBM: felbamate; GBP: gabapentin; ICSE: intolerable

    cosmeticside effect; LCM: lacosamide; LEV: levetiracetam; LTG: lamotrigine; OR: odds ratio;O XC: oxcarbazepine; PB: phenobarbital; PGB: pregabalin; PHT: phenytoin; PRM: primidone;TGB: tiagabine; TPM: topiramate; VGB: vigabatrin; VPA: valproate; ZNS: zonisamide.

    p b 0.003 (0.05/17 = 0.003).Controlled for gender.Signicant: p b 0.003.Trend: 0.003 b p b 0.05.

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    4. Discussion

    This study provides a real-world comparison of rates of cosmetic

    side effects among a large cohort of patients newly started on either

    old or newer antiepileptic drugs. Overall, over 5% of the patients report-

    ed CSEs and, in almost 4% of the patients, the CSE necessitated a changein dosage or discontinuation of the drug.

    We identied gender as theonlynon-AED predictor of both CSE and

    ICSE. Our results showed that women were over twice as likelyto report

    CSEs as men, ultimately requiring dose reduction or discontinuation of

    the AED. This might suggest that female patients were either more sus-

    ceptible to the occurrence of CSEs or more sensitive to noticing CSEs

    whentheyoccurred or both. The fact that the risk of developingCSEsin-

    creased when a patient already experienced CSE(s) may suggest that

    there is potential individual susceptibility to developing CSE regardless

    of the AED.

    In our study, we did not nd a signicant difference in CSE occur-

    rence between monotherapy and polytherapy, and there was a lack of

    correlation between AED dose and CSE as well as between AED drug

    load and CSE. Similarly, an earlier study published by Canevini et al.

    [12]found that adverse effects of AEDs did not differ between mono-

    therapy and polytherapy and were not correlated with AED load.

    Our study conrms prior evidence that VPA is one of the major con-

    tributors to cosmetic side effects in people with epilepsy. Cosmetic side

    effects related to VPA in monotherapy and polytherapy have been doc-

    umented in a number of previous studies [1315]. Weight gainis one ofthe most common side effects with VPA and has been found to occur in

    up to 57% of adults[1618], and women appeared to be more suscepti-

    ble to VPA-related weight gain compared with men[14,19,20]. There

    are major implications associated with VPA-related weight gain in

    women beyond its cosmetic effects. Aside from the elevated risk of

    insulin-related metabolic changes that have been shown to be linked

    with VPA treatment [21], female-specic reproductive endocrine disor-

    ders such as hyperandrogenism, irregular menses, and polycystic

    changes in the ovaries have been reported in women who take VPA

    and are especially common among women who have gained weight

    as a result of taking VPA for epilepsy[22]. Still, the exact mechanism

    by which VPA increases body weight is not well understood. There is

    some evidence that VPA-related weight gain is associated with the di-

    rect stimulation of pancreatic beta cells, the indirect enhancement of

    Table 2c

    Comparison of AED-attributed cosmetic side effects inmaleadults with epilepsy newly started on an AED.

    AED nCSE% (n) pValue OR

    ICSE% (n) pValue OR

    CBZ 135 0.0 (0) NS 0.0 (0) NS

    CLB 41 0.0 (0) NS 0.0 (0) NS

    FBM 22 0.0 (0) NS 0.0 (0) NS

    GBP 116 0.9 (1) NS 0.31 (0.04, 2.26) 0.0 (0) NS

    LCM 44 0.0 (0) NS 0.0 (0) NS

    LEV 253 1.2 (3) NS 0.40 (0.12, 1.32) 0.8 (2) NS 0.46 (0.11, 2.00)

    LTG 238 2.1 (5) NS 0.77 (0.30, 2.00) 1.3 (3) NS 0.79 (0.23, 2.69)

    OXC 63 1.6 (1) NS 0.59 (0.08, 4.39) 1.6 (1) NS 1.04 (0.14, 7.82)

    PB 37 0.0 (0) NS 0.0 (0) NS

    PGB 50 8.0 (4) 0.022* 3.51 (1.20, 10.30) 4.0 (2) NS 2.83 (0.65, 12.43)

    PHT 184 4.9 (9) 0.042* 2.20 (1.03, 4.72) 2.7 (5) NS 2.01 (0.74, 5.49)

    PRM 6 0.0 (0) NS 0.0 (0) NS

    TGB 9 0.0 (0) NS 0.0 (0) NS

    TPM 82 0.0 (0) NS 0.0 (0) NS

    VGB 18 5.6 (1) NS 2.24 (0.29, 17.22) 0.0 (0) NS

    VPA 126 11.9 (15) < 0.001** 7.60 (3.87, 14.90) 7.9 (10) < 0.001** 9.02 (3.87, 21.01)

    ZNS 75 0.0 (0) NS 0.0 (0) NS

    Average 2.6 1.5

    Abbreviations: AED: antiepileptic drug; CSE: cosmetic Side Effect; CBZ: carbamazepine; CI: condence interval; CLB: clobazam; FBM: felbamate; GBP: gabapentin; ICSE: intolerable

    cosmeticside effect; LCM: lacosamide; LEV: levetiracetam; LTG: lamotrigine; OR: odds ratio;O XC: oxcarbazepine; PB: phenobarbital; PGB: pregabalin; PHT: phenytoin; PRM: primidone;

    TGB: tiagabine; TPM: topiramate; VGB: vigabatrin; VPA: valproate; ZNS: zonisamide.p b 0.003 (0.05/17 = 0.003).Signicant: p b 0.003.Trend: 0.003 b p b 0.05.

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    insulin resistance by suppressing insulin-mediated peripheral glucose

    uptake, and the elevation in both fasting as well as postprandial insulin

    levels[20,23,24]. Valproic acid has also been shown to increase binge

    eating and motivation to eat compared with placebo which, in turn,

    may cause weight gain[25].

    Valproic acid-attributed hair loss led to more intolerability than allother AEDs in our study. This is consistent with previous studies that

    have reported VPA-induced hair loss to be between 2% and 12% in pa-

    tients on monotherapy. Hair loss is more frequent in patients taking

    high doses of VPA in long-term therapy [2628]and in patients who

    are female[29]. The mechanisms through which VPA may cause alope-

    cia are still uncertain. While some studies have shown that VPA intake

    reduces serum and hair zinc levels that may lead to hair loss[3032],

    others did not nd sufcient evidence to support that claim[3336].

    Serum biotinidase enzyme activity may play a role in VPA-induced alo-

    pecia. Some studies have found lower biotinidase activity with VPA

    treatment, and VPA-induced alopecia disappeared after the administra-

    tion of biotin supplement[37,38].

    We found PHTto have thehighest rate of gingival hyperplasia leading

    to intolerability (2.5%), signicantlyhigher than anyotherAEDs included

    in our study. This nding is consistent with the large number of studies

    that have also shown gingival overgrowth as a prominent adverse effect

    of PHT, occurring in as many as 50% of patients and as early as 3 months

    after the initiation of therapy with PHT[3941]. Prevalence of gingival

    hyperplasia appears to be higher in children than in adults and is similar

    among men and women[42,43]. Though not found in our study, acneand hirsutism have been linked to the chronic use of PHT, particularly

    in women[44]. The pathogenesis of PHT-induced gingival hyperplasia

    is likely to be multifactorial and centers around its primary effect on so-

    dium channel inux[45,46]. Other studies also suggest adding folic acid

    as an adjuvant for patients with epilepsy on PHT therapy as a possible

    preventive measure against gingival hyperplasia[47,48]. In our study,

    out of the 10 patients who developed PHT-attributed gingival hyperpla-

    sia, 1 patient took a folate supplement but stopped the supplement prior

    to starting PHT, and another patient took folate while on PHT treatment,

    while the other 8 patients never took folate supplements. Furthermore,

    there is evidence in literature showing that poor oral hygiene is correlat-

    ed with higher incidences of gingival hyperplasia[49]; however, patient

    dental hygiene was rarely discussed in neurology clinic visits; therefore,

    we were unable to take it into account in our study.

    Table 2d

    Comparison of individual AED-attributed cosmetic side effects in adults with epilepsy newly started on an AED.

    AED n

    Gingivalhyperplasia(att % /int %)

    Hirsutism(att % /int %)

    Hair Loss(att % /int %)

    Weight Gain(att % /int %)

    Acne(att % /int %)

    Overall(att % /int %)

    CBZ 326 0.3/0.3 1.2/1.2 1.5*/0.6

    CLB 80

    FBM 53 1.9*/1.9* 1.9/1.9

    GBP 251 2.8/2.0 2.8/1.2

    LCM 86

    LEV 524 0.4/0.4 1.0/0.8 1.3*/1.0*

    LTG 521 0.2/0.2 0.8/0.6 0.4/0.4 0.6*/0.6* 1.9*/1.0*

    OXC 160 0.6/0.6 0.6/0.6

    PB 98

    PGB 143 0.7/0.7 8.4*/8.4* 0.7/0.7 9.8**/5.6*

    PHT 404 2.5**/2.5** 1.0/1.0 0.3/0.3 0.3/0.0 0.3/0.3 4.2/3.2

    PRM 14

    TGB 25

    TPM 230 1.7/1.7 1.7/1.7

    VGB 32 3.1/3.1 3.1/0.0

    VPA 270 8.9**/8.2** 13.0**/12.6** 21.9**/13.3**

    ZNS 230 0.9/0.9 0.9*/0.0

    Average 0.7/0.7 0.4/0.4 1.8/1.7 2.9/2.6 0.2/0.2 3.7/2.3

    Abbreviations: AED: antiepileptic drug; att: attributed; CSE: cosmetic side effect; CBZ: carbamazepine; CI: con

    dence interval; CLB: clobazam; FBM: felbamate; GBP: gabapentin; ICSE:intolerable cosmetic side effect; int: intolerable; LCM: lacosamide; LEV: levetiracetam; LTG: lamotrigine; OR: odds ratio; OXC: oxcarbazepine; PB: phenobarbital; PGB: pregabalin; PHT:

    phenytoin; PRM: primidone; TGB: tiagabine; TPM: topiramate; VGB: vigabatrin; VPA: valproate; ZNS: zonisamide.

    p b 0.003 (0.05/17 = 0.003), controlled for gender.Signicant: p b 0.003.Trend: 0.003 b p b 0.05.

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    Coarsening of facial features has also been reported in patients on

    chronic phenytoin therapy[50,51], but no case was reported in our co-

    hort. This might have been underreported because of the prolonged pe-

    riod of time it would take for coarsening to become noticeable.

    Among thenewer AEDs, PGBwas found to be more likely associated

    with weight gain compared with other newer AEDs. Several double-

    blind clinical trials have reported on PGB's effect on weight gain com-

    pared with placebo[5255]. While French et al. found in their random-

    ized double-blind placebo-controlled study that weight gain associatedwith PGB was dose-related[52], a similar study by Elger et al. did not

    nd a signicant correlation between PGB dose and weight gain [55].

    In prior studies, the effect of PGB on weight gain was considered mild

    and rarely led to withdrawal of the drug [5255]. In contrast, our

    study found that weight gain due to PGB was intolerable in all cases,

    leading to either dosage adjustment or medication discontinuation in

    every patient. Similar to VPA, the mechanismthrough which PGBcauses

    weight gain in patients is not well understood, with some theories relat-

    ing to PGB's potential appetite-regulating effects in the central nervous

    system[56], sedating effects that may alter energy consumption, and

    antidiuretic effects[57].

    Oneof the biggest limitations of this study is its retrospective design.

    In order to minimize potential bias associated with CSE reporting, attri-

    bution of CSE(s) to a given AED was determined by the treating

    epileptologists at Columbia. Another limitation is that non-AED

    comedications were not taken into account. It is possible that

    comedications may aggravate or mitigate AED-related CSEs and, there-

    fore, exaggerate or understate CSE and ICSE rates. In addition, prior

    knowledge of potential AED side effect proles may change AED pre-

    scription behaviors such that physicians may avoid prescribing specic

    AEDs to certain high-risk populations. This, in turn, may falsely lower

    CSE rates of certain AEDs. To minimize the effects these potential biases

    may have on our results, we applied several additional analytical and

    statistical methods such as controlling for signicant non-AED predic-

    tors of CSEs and examining the CSE rate in patients while being treated

    with (but not necessarily attributed to) a given AED and the CSE rate of

    the rst newly started AED for a given patient (results not shown).

    Adverse cosmetic effects are common comorbid conditions in pa-

    tients with epilepsy taking AEDs and can inuence one's quality of life[58]. Of all the CSEs we examined, weight gain was the most common.

    Not only can excessive weight gain affect a patient cosmetically, but it

    can also impact overall health such as increasing the risk of diabetes

    mellitus, heart diseases, the metabolic syndrome, and other health con-

    ditions[59,60]. Our study is unique as it includes a large cohort of pa-

    tients using newer AEDs and may provide valuable information for

    clinicians to better assess the risk/benet ratios of older and newer

    AEDs in adult patients with epilepsy. We found that female patients

    with epilepsy and patients who have a history of AED-attributed CSEs

    may be more susceptible to developing CSEs. For patients who are at a

    higher risk of developing CSEs or those who are mainly concerned

    about CSEs when taking an AED, physicians should consider prescribing

    AEDs associated with a lower risk of CSE, such as LEV, and be cautious

    about prescribing VPA and PGB.Supplementary data to this article can be found online athttp://dx.

    doi.org/10.1016/j.yebeh.2014.10.021.

    Role of the funding source

    The funding sources had no inuence over the study design, data

    collection, data analysis, data interpretation, and writing of the

    manuscript.

    Disclosure

    The Columbia and Yale AED Database has been supported by Elan,

    GlaxoSmithKline, Ortho-McNeil, Pzer, Lundbeck (IN002264), Esai,

    and UCB Pharma (PG002141). Dr. Hirsch has received honoraria,

    consultation fees and/or speaker fees from all the supporting compa-

    nies. Dr. Detyniecki and Dr. Choi have both received research support

    for investigator-initiated studies from UCB Pharma and Lundbeck.

    Other coauthors have no relevant disclosures.

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