Sage Journals: Discover world-class research

Abstract

Objective:

The aim of this study was to assess patient reported adverse events and associated factors among epileptic patients taking antiepileptic drugs on follow-up at University of Gondar Referral Hospital.

Methods:

Cross-sectional study was done on 354 adult epileptic patients. Patients who were on antiepileptic drugs for epilepsy treatment for less than a year, those who were below 18 years old, patients with incomplete information on the chart and those who were involuntary or uncooperative were excluded from the study. Data were entered in to SPSS version 20.0 for analysis. Bivariate and multivariate binary logistic regression analysis was done to see factors associated with antiepileptic drugs adverse effect. Level of statistical significance was declared at p ≤ 0.05.

Result:

Generalized tonic clonic seizure was the most common (86.2%) type of epilepsy. A total of 79 adverse events were reported. The most frequently encountered adverse events were fatigue (5.08%), gastrointestinal disturbance (4.24%) and sedation/depression (4.24%). Adverse drug effect of antiepileptic drugs was significantly associated with illiterate educational status, increased number of antiepileptic drugs, no seizure during last follow-up and last year, and 1–5 seizures for the last year.

Conclusion:

About one-sixth of epileptic patients reported adverse drug effects. Adverse drug effects were more commonly seen in patients with low educational status, increased number of antiepileptic drugs, absence of seizure during last follow-up and last year, and 1–5 seizures for the last year. So clinicians should give emphasis for patients with these characteristics to counsel on how to minimize or prevent adverse drug events from antiepileptic drugs or giving reassurance about it if it is minor.

Keywords

Adverse event side effect epilepsy antiepileptic drug seizure

Introduction

Epilepsy is a common neurological disorder which demands immediate medical attention. It is the second leading neurological cause of reduced disability adjusted life years.¹ About 1 of every 10 individuals living a normal life span is expected to have at least one epileptic seizure. More than 50 million people in the world will have recurrent seizures.^2,3 The lifetime prevalence of active epilepsy was 7.60 per 1000 persons.⁴ In a large community-based epidemiological study, the prevalence of epilepsy in Ethiopia was reported as 5.2 per 1000 population.⁵

The main stay of treatment in epilepsy is the use of antiepileptic medications. More than 20 Food and Drug Administration (FDA)-approved antiepileptic drugs (AEDs) are available in the current market. The use of drugs in the management of epilepsy is accompanied by adverse effects such as idiosyncratic reactions, dose-related neurocognitive effects and complications of long-term use.^6,7 Comparative studies that assessed the efficacies of AEDs have found equivalency between the different AEDs; therefore, selection of AEDs is mainly dependent on adverse effect profile.^8–10 According to HP Bootsma et al.,¹¹ adverse events are more important than efficacy in patients who had taken AEDs for longer periods, and patient reported adverse events determine the long-term retention time. The overall cost of treating epilepsy is impacted by AED adverse events.¹² The health care costs due to adverse effects of antiepileptic drugs was estimated to be as high as US$26.675 per patient per year.¹³

The FDA has defined reportable adverse drug experience as “any adverse event associated with the use of a drug in humans, whether or not considered drug related.”¹⁴ Frequency of reported adverse events due to AEDs in a community-based setting was found to be about 60%.¹⁵ Moderate to severe subjective complaints (reported adverse events) due to AEDs were found to be 67% among epileptic patients whose disease was assumed to be controlled.¹⁶ Patients taking two or more antiepileptic medications also reported more side effects than patients on monotherapy.^15–17 As compared to the older AEDs, the newer compounds like Gabapentin, Lamotrigine, Oxcarbazepine, Lacosamide, Pregabalin and Levetiracetam seemed to have better tolerability.¹⁸

The goal of epilepsy treatment is to achieve adequate seizure control and improve quality of life without adverse events from the medication. However, adverse events due to AEDs occur frequently and are the main reasons that limit doses to be used for achieving adequate seizure control.¹⁹ Adverse events may also cause impaired treatment adherence. P Perucca et al.²⁰ reported that significant proportion of epileptic patients discontinue their treatment due to adverse effects. Different studies also confirmed that AED-related adverse events significantly affect quality of life of epileptic patients.^21–23

Adverse events due to AEDs finally may lead to hospitalization, switch to more expensive alternatives and failure to achieve treatment goals. Recognition of commonly occurring adverse effects due to AEDs helps to adequately monitor patients and optimize treatment outcome. Early identification of patients who have high risk of adverse event is essential to counter potential treatment failures and to plan interventions accordingly. Therefore, the aim of this study was to identify patient reported adverse events due to AEDs and to determine factors associated with adverse event among epileptic patients at University of Gondar Referral Hospital (UoGRH).

Methods

Study area and period

The study was done at the neurology clinic of UoGRH, North-West Ethiopia. The hospital is located 737 km away from Addis Ababa, the capital city of Ethiopia. It is one of the biggest tertiary-level teaching and referral hospitals in the region. The hospital serves as a referral center for 7 million populations in North Gondar administrative zone and the residents around. It has 400 beds in five different inpatient departments and 14 wards. There are around 2200 epileptic patients on follow-up at the neurology clinic of the hospital. Data were collected from 15 January to 15 April 2017.

Study design and subjects

The study was a hospital-based cross-sectional study. All adult epileptic patients who were taking AED therapy, having follow-up at UoGRH and available at the time of data collection were taken as a study population. Patients who were on AEDs for epilepsy treatment for less than 1 year, those who were below 18 years old, patients with incomplete information on the chart and those who were involuntary or uncooperative were excluded from the study.

Sample size and sampling methods

The sample size was calculated using single population proportion formula, by taking 5% margin of error, 95% confidence level and proportion of reported adverse event as 0.5% (in order to get maximum sample size). In the 3 months of the study period, 1800 patients were expected to come. Since the source population was less than 10,000, the sample was recalculated by using correction formula and it was found to be 324. Finally, we have taken 354 patients as a sample. Systematic random sampling method was used to recruit participants for the study in each day of the data collection process. Every fifth patient was interviewed following physician’s visit.

Data collection procedures

Data were taken from patients’ medical chart and patient interview. Data collection tool was prepared after reviewing different literatures done on the topic.^{15,17,24–26} The tool was translated in to Amharic and pretested on 18 (5%) of sample population on a different setting (Felegehiwot hospital). Data collection was done by two BSc nurses starting from 15 January to 15 April 2017. Adverse effect–related information was collected by using Amharic version of the questionnaire. Patients were asked to report for the presence of any perceived adverse drug event (ADE) due to their AED in the past 3 months. Patient demographics, diagnosis, co-morbid conditions and type of drugs were collected on the patient charts by using well-designed data extraction format. In order to assure the quality of data, data collectors were trained for 1 day on the documentation and techniques of data collection. Medical chart number was documented to avoid reputation of participants. The principal investigator reviewed all filled data abstraction formats.

Data processing and analysis

Data were entered in to SPSS version 20.0 for analysis. Double entry was applied for accuracy. Descriptive statistics were used for demographic and clinical details. Each drug was counted as 1 whether it was given alone or in combination with others. Both bivariate and multivariate binary logistic regression analyses were done to see factors associated with reported ADEs. All variables with p ≤ 0.3 in bivariate analysis were taken to multivariable model to control for all possible confounders. Level of statistical significance was declared at p ≤ 0.05 levels.

Ethical consideration

Letter of ethical clearance was obtained from ethical review board of school of pharmacy. Letter of cooperation was obtained from UoGRH before going to neurology clinic. Each patient was informed about the objective of the study and oral consent was taken from patients before starting the interview. Privacy and confidentiality were ensured during patient interview and review of patients’ chart. Thus, name and address of the patient were not recorded in the data extraction formats.

Result

Socio-demographic characteristics of study subjects

Three hundred fifty-four epileptic patients were included in the study. Participants’ mean age was 29.1 ± 11.7 years. Majority (61%) of the study subjects were male, a quarter of the participants (25%) were married and 209(59%) of the respondents live in urban areas. Educational status of most (61.6%) of the participants were primary education or below. Majority of the participants (89.7%) were orthodox Christians. More than two-thirds (70.6%) earn a monthly income of below 1500 Ethiopian birr. Table 1 shows socio-demographic characteristics of study participants.

Table 1.

Socio-demographic Characteristics of Study Participants, UoGRH, 2017.

Variables	Categories	Frequency (n)	Percent (%)
Age	18–25	167	47.2
	26–44	150	42.4
	>45	37	10.5
Sex	Male	216	61.0
Sex	Female	138	39.0
Marital status	Single	224	63.3
	Married	89	25.1
	Divorced	31	8.8
	Widowed	10	2.8
Religion	Orthodox	317	89.7
	Protestant	7	1.9
	Muslim	28	7.9
	Others^a	2	0.5
Educational status	Illiterate	107	30.2
	Primary school	111	31.4
	Secondary school	84	23.7
	Diploma and above	52	14.7
Residency	Rural	145	41.0
Residency	Urban	209	59.0
House hold income (in birr)	<500	114	32.2
	500–1449	136	38.4
	1500–2999	72	20.3
	3000–4999	24	6.8
	≥5000	8	2.3
Occupation	Unemployed	54	15.3
	House wife	28	7.9
	Merchant or private worker	53	15.0
	Student	96	27.1
	Daily laborer	25	7.1
	Farmer	56	15.8
	Others	42	11.9
Method of acquiring AEDs	Freely	142	40.1
Method of acquiring AEDs	Purchase	212	59.9

UoGRH: University of Gondar Referral Hospital; AED: antiepileptic drug.

Jehovah.

Clinical characteristics of study subjects

Generalized tonic clonic seizure (GTCS) was the commonest (86.2%) type of seizure. Majority (82.2%) of the patients were on monotherapy. Nearly 90% of the participants have no co-morbid diseases. The mean age of onset of epilepsy was 22 (± 12.1 SD) years. More than two-thirds (70.6%) were seizure free during last follow-up. Table 2 shows clinical characteristics of study participants.

Table 2.

Clinical Characteristics of Study Participants, UoGRH, Northwest Ethiopia, 2017.

Variables	Categories	Frequency (n)	Percent (%)
Age at diagnosis	≤15 years old	104	29.4
	16–30 years old	194	54.8
	31–45 years old	34	9.6
	>46 years old	22	6.2
Types of seizure/epilepsy	Focal seizure	5	1.4
	GTCS	305	86.2
	Unclassified epileptic	44	12.4
Number of AEDs	Monotherapy	291	82.2
Number of AEDs	2 or more drug combination	63	17.8
Co-morbid illness	Yes	36	10.2
Co-morbid illness	No	318	89.8
Started tapering	Yes	115	32.5
Started tapering	No	239	67.5
Duration of epilepsy	<3 years	105	29.7
	3–5 years	69	19.5
	6–10 years	89	25.1
	>10 years	91	25.7
Current status of epilepsy	Controlled	129	36.4
	Improving	199	56.2
	No change	20	5.6
	Deteriorated	6	1.7
Frequency of seizure during last year	Free of seizure	129	36.4
	1–5 seizures	193	54.5
	6–10 seizures	20	5.6
	>10 seizures	12	3.4
Frequency of seizure during last follow-up	No seizure	250	70.6
	1 or 2 seizures	79	22.3
	3–5 seizures	15	4.2
	>5 seizures	10	2.8

UoGRH: University of Gondar Referral Hospital; GTCS: Generalized tonic clonic seizure; AED: antiepileptic drug.

Commonly prescribed drugs for epilepsy

The average AED prescription per patient was 1.18. Most of the patients (69.8%) received Phenobarbital as a monotherapy followed by Phenobarbital with Carbamazepine dual therapy (8.2%). Drugs prescribed for epileptic patients with its frequency are presented in Table 3.

Table 3.

AEDs Used by Epileptic Patients Who Were on Follow-up at UoGRH, Northwest Ethiopia, 2017.

Drug	Frequency (n)	Percent (%)
Carbamazepine	16	4.5
Lamotrigine	5	1.4
Phenobarbital	247	69.8
Phenytoin	22	6.2
Valproic acid	2	.6
Phenobarbital + Carbamazepine	29	8.2
Phenobarbital + Lamotrigine	4	1.1
Phenobarbital + Phenytoin	22	6.2
Phenobarbital + Valproic acid	2	.6
Phenytoin + Carbamazepine	4	1.1
Phenobarbital + Phenytoin +Carbamazepine	1	.3
Total	354	100.0

AED: antiepileptic drug; UoGRH: University of Gondar Referral Hospital.

Patient reported adverse drug effects

Fifty-three (15%) of the study participants reported that they experienced adverse effects related to their AED therapy during the last 3 months before the interview. A total of 79 adverse events were reported. The most frequently encountered adverse events were fatigue (5.08%), gastrointestinal (GI) disturbance (4.24%) and sedation/depression (4.24%). Each type of ADEs in relation to the specific drugs is presented in Table 4.

Table 4.

Adverse Effect of Antiepileptic Medications Among Epileptic Patients on Follow-up at UoGRH, Northwest Ethiopia, 2017.

	Carbamazepine	Lamotrigine	Phenobarbital	Phenytoin	Valproic acid	Total (n)	(%)
Loss of appetite	0	0	1	0	0	1	0.28
Dizziness	1	0	5	2	0	8	2.26
Fatigue	2	0	12	3	1	18	5.08
GI disturbance	0	0	9	5	1	15	4.24
Pain	0	0	5	1	0	6	1.69
Loss of memory	1	1	4	2	0	8	2.26
Sedation/depression	1	2	10	2	0	15	4.24
Skin reaction	0	0	3	1	0	4	1.13
Visual disturbance	0	0	1	0	0	1	0.28
Weight gain	1	0	1	1	0	3	0.85

UoGRH: University of Gondar Referral Hospital; GI: gastrointestinal.

Out of the 313 patients who were given Phenobarbital as a mono- or combination therapy, 51 (16.29%) developed ADE. About one-third (32.69%) of patients who were taking phenytoin reported ADE. The rate of adverse events in relation to each type of drugs is indicated in Table 5.

Table 5.

Rate of Adverse Events in Relation to Each Type of Drugs Given for Epilepsy Treatment.

	Carbamazepine	Lamotrigine	Phenobarbital	Phenytoin	Valproic acid
No ADE, n (%)	45 (12.71)	6 (1.69)	262 (74.01)	35(9.89)	3 (0.85)
ADE (n)	6	3	51	17	2
Proportion of patients with ADE (%)	1.69	0.85	14.41	4.80	0.56
Proportion of ADE relative to number of prescriptions (%)	11.76%	33.33%	16.29%	32.69%	40%
Total number of patients prescribed with the drug (n)	51	9	313	52	5

ADE: adverse drug event.

Factors associated with reported adverse medication effect of AEDs

The results of multivariate analysis showed that adverse drug effect of AEDs was significantly associated with illiterate educational status, increased number of AEDs, no seizure during last follow-up and last year, and 1–5 seizures for the last year. Being unable to read and write (illiterate) were 4.9 times (adjusted odds ratio (AOR) = 4.9, 95% confidence interval (CI) = (1.372–17.507)) more likely to experience adverse drug effect than diploma and above educational status. Patients who had no seizure during last follow-up were 6.9 times (AOR = 6.932, 95% CI = (1.152–41.700)) more likely to develop adverse drug effect than those who had greater than five seizure for the last follow-up. Patients who had no seizure and those who experience 1 up to 5 seizures during last year were 13.56 times and 10.9 times more likely to have ADE than those patients who experienced greater than 10 seizures during the last year, respectively. Participants who took monotherapy for their epilepsy were 62.5% more unlikely to experience adverse drug effect than who took more than one AEDs (AOR = 0.375 95% CI = (0.171–0.824)). Table 6 shows association between socio-demographic and clinical characteristics with adverse drug effect of AEDs.

Table 6.

Logistic Regression Analysis Result of Variables Which Have Association with adverse drug effect of AEDs in UoGRH, Northwest Ethiopia; 2017 (N = 354).

Characteristics	Category	COR (95% CI)	AOR (95% CI)	p
Educational status	Illiterate	2.593 (0.98–6.8)	4.900 (1.372–17.507)	0.014*
	Primary school	1.153 (0.49–2.69)	1.626 (0.578–4.575)	0.357
	Secondary school	1.095 (0.45–2.66)	1.213 (0.425–3.465)	0.718
	Diploma and above	1.000	1.000
Residence	Rural	1.473 (0.82–2.65)	0.496 (0.239–1.033)	0.061
Residence	Urban	1.000	1.000
Monthly income (in birr)	<500	2.590 (0.47–14.20)	1.275 (0.182–8.913)	0.807
	500–1500	1.933 (0.36–10.26)	0.884 (0.135–5.798)	0.898
	1500–3000	1.167 (0.21–6.35)	0.700 (0.105–4.661)	0.712
	3000–5000	3.667 (0.42–31.73)	2.828 (0.252–31.711)	0.399
	>5000	1.000	1.000
Number of AEDs	Monotherapy	0.409 (0.216–0.775)	0.375 (0.171–0.824)	0.015*
Number of AEDs	Two or more drugs	1.000	1.000
Co-morbidity	Yes	0.48 (0.212–1.09)	0.445 (0.172 –1.152)	0.095
Co-morbidity	No	1.000	1.000
Current status	Controlled	1.318 (0.14–11.97)	0.120 (0.006–2.416)	0.166
	Improving	1.172 (0.13–10.40)	0.178 (0.009–3.356)	0.249
	No change	0.467 (0.04–4.89)	0.247 (0.014–4.243)	0.335
	Deteriorated	1.000	1.000
Duration of epilepsy (years)	<3	0.941 (0.43–2.03)	0.622 (0.242–1.602)	0.326
	3–5	1.212 (0.49–2.99)	1.009 (0.352–2.887)	0.987
	5–10	1.063 (0.47–2.41)	0.811 (0.301–2.184)	0.679
	>10	1.000	1.000
Frequency of seizure for 1 year	No seizure	14.643 (3.57–59.98)	13.560 (1.226–150.024)	0.034*
	1–5 seizures	3.012 (0.90–10.02)	10.929 (1.061–112.598)	0.044*
	5–10 seizures	2.143 (0.46–9.89)	9.594 (0.890–103.438)	0.062
	>10 seizures	1.000	1.000
Frequency of seizure for last follow-up	No seizure	7.621 (2.08–27.92)	6.932 (1.152–41.700)	0.034*
	1–2 seizures	4.267 (1.09–16.6)	1.587 (.340–7.420)	0.557
	3–5 seizures	2.750 (0.51–14.86)	2.100 (.336–13.127)	0.428
	>5 seizures	1.000	1.000

AED: antiepileptic drug; UoGRH: University of Gondar Referral Hospital; COR: crude odds ratio; AOR: adjusted odds ratio.

Statistically significant association.

Discussion

Besides seizure control and optimization of quality of life, one of the ultimate goals of epilepsy treatment is reducing adverse effects from antiepileptic medications. The purpose of this study was to identify patient reported adverse events and to find out factors associated with patient reported adverse events among epileptic patients who were taking AEDs at UoGRH.

In the current study, adverse effect of AEDs was reported by 53 (15%) respondents. This finding was in line with the result of the study done by Birru et al.²⁴ in 2014 which was 17.6%. Similarly, no more than 15% of the patients who visited the outpatient clinic of a tertiary epilepsy center in Kempenhaeghe (Netherland) reported to have side effects.²⁷ But it was lower than the result of the study conducted in Jimma university specialized hospital which reported 33.4% of patients had experienced adverse events.²⁵ The study done in Bishoftu General Hospital also reported that 25.8% of epileptic patients experienced an ADE due to AEDs.²⁶ As compared to our study, lower incidence of adverse drug reactions (ADR) (4.67%) was reported in the study done in Hyderabad.²⁸ The most common adverse effects reported were fatigue, GI disturbance and sedation/depression. In contrast to our study, headache was the commonest adverse effect recorded in Jimma and Bishoftu.^25,26 Birru et al.²⁴ also reported hypersomnia as the most common adverse effect from AEDs.

It is generally agreed that monotherapy is the primary option in the treatment of epilepsy. But if seizures persist after titration to the highest tolerated dose of a single AED, the patient is given a trial of combination therapy.²⁹ Most of the respondents (82.2%) in this study took monotherapy for epilepsy. This finding is in line with previous studies done in Ethiopia. Birru et al.²⁴ reported that 80.35% of epileptic patients at Gondar university hospital received monotherapy. The study done at Bishoftu general hospital and the study conducted on two hospitals in Northwest Ethiopia reported monotherapy was given for 78.6% and 76.7% of epileptic patients, respectively.^26,30 But Gurshaw et al.²⁵ reported that in Jimma university hospital, monotherapy for epilepsy accounts only 54.5%.

The most commonly used monotherapy was Phenobarbital, followed by phenytoin, and the most prescribed dual therapy was Phenobarbital with carbamazepine followed by phenytoin with Phenobarbital. Many other studies in Ethiopia also reported similar results,^24,26,30 but in a study done at a tertiary health care facility in northern Nigeria, carbamazepine was the most commonly prescribed medication (91.2%).³¹ This difference may be due to the higher prevalence of focal seizure in Nigeria population, which was reported as 58.8%³² while it is only 1.4% in our setting. In contrast to our study, Alexander B Kowski et al.³³ reported that levetiracetam, lamotrigine and valproic acid were the most commonly used AEDs. The broad spectrum activity of Phenobarbital against many types of seizure and its lower cost makes it to be used more frequently in our setting.³⁴

Adverse drug effects of AED were 4.9 times more likely to occur in illiterate patients than those who have diploma and above educational status. This may be because illiterate patients’ understanding and communication with health care providers are lesser than educated people which may lead to inappropriate use of medication and then adverse drug effects.

As compared to monotherapy, use of two or more AEDs was significantly associated with adverse drug effects. A similar finding was reported by SG Uijl et al.,¹⁶ J George et al.,³⁵ PA Mei et al.,³⁶ A Javed et al.³⁷ and J George et al.³⁵ This may be because, as the number of drugs taken by the patient increases, the probability of occurrence of ADE will increase due to additive effects or interactions. Because of this, monotherapy is generally recommended for treatment of epilepsy unless it becomes non-responsive for single agent. Since toxicity depends more on total drug load than on the number of compounds taken, we have to use lower doses of each single drug even when we use poly-therapy then adjust doses based on patient response.³⁸

Patients who had no seizure during last follow-up were 6.9 times more likely to experience adverse drug effect than those who had more than 5 seizures for the last follow-up (AOR = 6.93), those who experienced no seizure during last year were 13.5 times and those who experienced 1–5 seizures for the last year were 10.9 times more likely to report adverse drug effect of AEDs than those who experienced more than 10 seizures for the last year. This may be justified in the way that patients who had more frequent seizures may worry more about the disease than anticipating adverse effects and they may also consider the adverse drug effects as symptoms of the disease (epilepsy), but patients who were free of seizure may more probably attribute symptoms that they feel to the drugs that they were taking and consider as adverse effect.

The presence of adverse effect from AEDs is additional challenge for epileptic patients besides the burden from the disease itself. As reported by previous studies, ADR significantly affects the quality of life of epileptic patients.^19,33 In addition, E Viteva³⁹ discovered an association between AED adverse events and the severity of perceived stigma. So clinicians involved in the care of epileptic patients should give emphasis for assessing possible adverse effects that the patient may experience and taking essential measures in order to relieve or prevent them.

The result of this study should be interpreted by considering the following limitations. The primary limitation of our study stem from self-reporting. The side effects were subjectively reported so that it may not include adverse effects that were not felt by the patient and which only can be identified by objective parameters like laboratory tests and other diagnostic tools. The cross-sectional nature of the study also limits the establishment of cause-and-effect relation between the AEDs and reported adverse effects. The participants were recruited from one medical center in Northwest Ethiopia. Therefore, the findings may not be generalized to all people living with epilepsy in Ethiopia.

Conclusion

About one-sixth of epileptic patients reported adverse drug effects. The commonest adverse drug effects reported were fatigue, GI disturbance and sedation/depression. Adverse drug effects were more commonly seen in patients with low educational status, increased number of AEDs, absence of seizure during last follow-up and last year, and 1–5 seizures for the last year. So clinicians should give emphasis for patients with these characteristics to counsel on how to minimize or prevent ADEs from AEDs or giving reassurance about it if it is minor.

Footnotes

Acknowledgements

We would like to thank University of Gondar for funding this research project. We are also very grateful to the nursing staffs of chronic outpatient department of UoGRH for their cooperation in the data collection process. MBA had participated in concept development, questionnaire design, write up of the final research and manuscript preparation and finalization. EAM had contributed in concept development, questionnaire design, data analysis and interpretation.

Availability of data and materials

The datasets during and/or analyzed during the current study is available from the corresponding author on reasonable request in preparing this article.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Ethical approval and consent to participate

Ethical clearance was obtained from the Ethical Review Committee of School of Pharmacy, University of Gondar. Ethics approval number was SoP/205/2017. The respondents were informed about the purpose of the study and their consent to participate was obtained orally.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was done with the financial support of University of Gondar.

Informed consent

Verbal informed consent was obtained from all subjects before the study and this was approved by Ethical Review Committee of School of Pharmacy.

ORCID iD

Mohammed Biset Ayalew

References

Murray

Vos

Lozano

et al . Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380: 2197–2223.

Banerjee

Filippi

Hauser

The descriptive epidemiology of epilepsy—a review. Epilepsy Res 2009; 85(1): 31–45.

World Health Organization (WHO). Epilepsy in the WHO African region: bridging the gap. the global campaign against epilepsy “out of the shadows.” Geneva: World Health Organization, 2004.

Fiest

Sauro

Wiebe

et al . Prevalence and incidence of epilepsy: a systematic review and meta-analysis of international studies. Neurology 2017; 88(3): 296–303.

Tekle-Haimanot

Forsgren

Ekstedt

Incidence of epilepsy in rural central Ethiopia. Epilepsia 1997; 38(5): 541–546.

Baker

Jacoby

Buck

et al . Quality of life of people with epilepsy: a European study. Epilepsia 1997; 38(3): 353–362.

French

Pedley

TA.

Initial management of epilepsy. N Engl J Med 2008; 359(2): 166–176.

Mattson

Cramer

Collins

et al . Comparison of carbamazepine, phenobarbital, phenytoin, and primidone in partial and secondarily generalized tonic-clonic seizures. N Engl J Med 1985; 313(3): 145–151.

Cramer

Mintzer

Wheless

et al . Adverse effects of antiepileptic drugs: a brief overview of important issues. Expert Rev Neurother 2010; 10(6): 885–891.

10.

Schmidt

Efficacy of new antiepileptic drugs. Epilepsy Curr 2011; 11(1): 9–11.

11.

Bootsma

Ricker

Hekster

et al . The impact of side effects on long-term retention in three new antiepileptic drugs. Seizure 2009; 18(5): 327–331.

12.

Schlienger

Knowles

et al . Quantifying the costs of serious adverse drug reactions to antiepileptic drugs. Epilepsia 1998; 39: S27–S32.

13.

De Kinderen

Evers

Rinkens

et al . Side-effects of antiepileptic drugs: the economic burden. Seizure 2014; 23(3): 184–190.

14.

Food Drug Administration. Record and reports concerning adverse drug experiences on marketed prescription drugs: federal register. Washington, DC: Food Drug Administration, 2010.

15.

Carpay

Aldenkamp

van Donselaar

CA.

Complaints associated with the use of antiepileptic drugs: results from a community-based study. Seizure 2005; 14(3): 198–206.

16.

Uijl

Uiterwaal

Aldenkamp

et al . A cross-sectional study of subjective complaints in patients with epilepsy who seem to be well-controlled with anti-epileptic drugs. Seizure 2006; 15(4): 242–248.

17.

Andrew

Milinis

Baker

et al . Self reported adverse effects of mono and polytherapy for epilepsy. Seizure 2012; 21(8): 610–613.

18.

Beghi

Efficacy and tolerability of the new antiepileptic drugs: comparison of two recent guidelines. Lancet Neurol 2004; 3(10): 618–621.

19.

Gilliam

Fessler

Baker

et al . Systematic screening allows reduction of adverse antiepileptic drug effects: a randomized trial. Neurology 2004; 62(1): 23–27.

20.

Perucca

Carter

Vahle

et al . Adverse antiepileptic drug effects: toward a clinically and neurobiologically relevant taxonomy. Neurology 2009; 72(14): 1223–1229.

21.

Rho

Lee

Yim

et al . Factors contributing to Korean adolescents’ perceptions of stigma with respect to epilepsy. Epilepsy Behav 2010; 19(4): 627–630.

22.

Elsharkawy

May

Thorbecke

et al . Long-term outcome and determinants of quality of life after temporal lobe epilepsy surgery in adults. Epilepsy Res 2009; 86(2): 191–199.

23.

Perucca

Gilliam

Schmitz

Epilepsy treatment as a predeterminant of psychosocial ill health. Epilepsy Behav 2009; 15(2): S46–S50.

24.

Birru

Shafi

Geta

. Drug therapy of epileptic seizures among adult epileptic outpatients of University of Gondar referral and Teaching Hospital, Gondar, North West Ethiopia. Neuropsychiatr Dis Treat 2016(12): 3213–3219.

25.

Gurshaw

Agalu

Chanie

Anti-epileptic drug utilization and treatment outcome among epileptic patients on follow-up in a resource poor setting. J Young Pharm 2014; 6(3): 47–52.

26.

Rishe

Seifu

Gelaw

et al . Drug use evaluation of antiepileptic drugs in outpatient epilepsy clinic of Bishoft General Hospital, East Shoa, Ethiopia. Indo Am J Pharm Res 2015; 5(2): 951–962.

27.

Ijff

de Kinderen

RJA

Vader

et al . Subjectively perceived side-effects of anti-epileptic drugs in chronic refractory epilepsy. Adv Pharmacoepidemiol Drug Saf 2015; 4(4): 186.

28.

Mathur

Sen

Ramesh

et al . Utilization pattern of antiepileptic drugs and their adverse effects, in a teaching hospital. Asian J Pharm Clin Res 2010; 3(1): 55–59.

29.

National Institute for Health Care Excellence. Clinical guideline 137. The Epilepsies: the diagnosis and management of the epilepsies in adults and children in primary and secondary care. London: NICE, 2012.

30.

Getnet

Woldeyohannes

Bekana

et al . Antiepileptic drug nonadherence and its predictors among people with epilepsy. Behav Neurol 2016; 2016: 3189108.

31.

Ipingbemi

AE.

Management, treatment outcome and cost of epilepsy in a tertiary health care facility in northern Nigeria. Int J Med Update 2015; 10(2): 25–36.

32.

Mosaku

Fatoye

Komolafe

et al . Quality of life and associated factors among adults with epilepsy in Nigeria. Int J Psychiatry Med 2006; 36(4): 469–481.

33.

Kowski

Weissinger

Gaus

et al . Specific adverse effects of antiepileptic drugs: a true-to-life monotherapy study. Epilepsy Behav 2016; 54: 150–157.

34.

Schmidt

Drug treatment strategies for epilepsy revisited: starting early or late? One drug or several drugs?

Epileptic Disord 2016; 18(4): 356–366.

35.

George

Kulkarni

Sarma

Antiepileptic drugs and quality of life in patients with epilepsy: a tertiary care hospital-based study. Value Health Reg Issue 2015; 6: 1–6.

36.

Mei

Montenegro

Guerreiro

et al . Pharmacovigilance in epileptic patients using antiepileptic drugs. Arq Neuropsiquiatr 2006; 64(2A): 198–201.

37.

Javed

Cohen

Detyniecki

et al . Rates and predictors of patient-reported cognitive side effects of antiepileptic drugs: an extended follow-up. Seizure 2015; 29: 34–40.

38.

Deckers

Hekster

Keyser

et al . Monotherapy versus polytherapy for epilepsy: a multicenter double-blind randomized study. Epilepsia 2001; 42(11): 1387–1394.

39.

Viteva

Relation of perceived stigma to adverse events of medications in patients with epilepsy. Epilepsy Res Treat 2016; 2016: 5362806.

Patient reported adverse events among epileptic patients taking antiepileptic drugs

Abstract

Objective:

Methods:

Result:

Conclusion:

Keywords

Introduction

Methods

Study area and period

Study design and subjects

Sample size and sampling methods

Data collection procedures

Data processing and analysis

Ethical consideration

Result

Socio-demographic characteristics of study subjects

Clinical characteristics of study subjects

Commonly prescribed drugs for epilepsy

Patient reported adverse drug effects

Factors associated with reported adverse medication effect of AEDs

Discussion

Conclusion

Footnotes

Acknowledgements

Availability of data and materials

Declaration of conflicting interests

Ethical approval and consent to participate

Funding

Informed consent

ORCID iD

References