Abstract
Background
Surveys conducted in 1991–1992 in the Mbam Valley (Cameroon) revealed that onchocerciasis was highly endemic, with community microfilarial loads (CMFL) > 100 microfilariae/snip in some villages. Also in 1991–1992, a survey of suspected cases of epilepsy (SCE) found 746 SCE using a questionnaire administered to individuals identified by key informants, with prevalences reaching 13.6% in some communities. From 1998, annual community-directed treatment with ivermectin (CDTI) was implemented to control onchocerciasis. In 2017, a door-to-door household survey was conducted in three of the villages visited in 1991–1992, using a standardized 5-item epilepsy screening questionnaire.
Results
In 2017, a total of 2286 individuals living in 324 households were screened (582 in Bayomen, 553 in Ngongol and 1151 in Nyamongo) and 112 SCE were identified (4.9%). Neurologists examined 92 of these SCE and confirmed the diagnosis of epilepsy for 81 of them (3.5%). Between the surveys in 1991–1992 and 2017, the prevalence of SCE decreased from 13.6% to 2.5% in Bayomen (P = 0.001), from 8.7% to 6.6% in Ngongol (P = 0.205) and from 6.4% to 5.4% in Nyamongo (P = 0.282). The median age of SCE shifted from 20 (IQR: 12–23) to 29 years (IQR: 18–33; P = 0.018) in Bayomen, from 16 (IQR: 12–21) to 26 years (IQR: 21–39; P < 0.001) in Ngongol and from 16 (IQR: 13–19) to 24 years (IQR: 19–32; P < 0.001) in Nyamongo. The proportions of SCE aged < 10, 10–19, 20–29 and ≥ 30 years shifted from 9.5, 58.3, 25.0 and 7.1% in 1991–1992 to 2.7, 20.5, 39.3 and 37.5% in 2017, respectively.
Conclusions
SCE prevalence decreased overall between 1991–1992 and 2017. The age shift observed is probably due to a decrease in the number of new cases of epilepsy resulting from the dramatic reduction of Onchocerca volvulus transmission after 19 years of CDTI.
Electronic supplementary material
The online version of this article (10.1186/s13071-019-3345-7) contains supplementary material, which is available to authorized users.
Keywords: Cameroon, Epilepsy, Onchocerciasis, Community study
Background
In 2010 it was estimated that the number of people in the world with lifetime epilepsy (i.e. with a history of epilepsy, regardless of treatment or recent seizure activity) and with active epilepsy (i.e. who has had at least one epileptic seizure in the previous 5 years, regardless of antiepileptic drug treatment) were 68.8 and 32.7 million, respectively [1]. However, important geographical disparities exist and an estimated 80% of people living with epilepsy (PWE) reside in low and middle-income countries [1, 2]. Moreover, estimated prevalences in Africa are amongst the highest observed worldwide, with 0.9% and 6.0% in sub-Saharan Africa and central Africa, respectively [3]. Incidence rates of epilepsy in sub-Saharan Africa range from 64 to 187 per 100,000 person-years [4]. Evident causes including perinatal brain damage or parasitic diseases that are highly endemic in sub-Saharan Africa partly account for the high epilepsy burden endured by the region. Indeed, recent meta-analyses confirmed that neurocysticercosis, toxocariasis, toxoplasmosis and cerebral malaria are closely associated with epilepsy, with common odds ratios of 2.7 (95% confidence interval, CI: 2.1–3.6), 1.69 (95% CI: 1.42–2.01), 2.25 (95% CI: 1.27–3.9) and 4.68 (95% CI: 2.52–5.70), respectively [5–8].
Onchocerca volvulus, the nematode causing onchocerciasis that is transmitted from human to human by blackflies of the genus Simulium, has also been associated with epilepsy as early as 1938 [9]. More recent studies and meta-analyses have confirmed that this association is significant (pooled odds ratio: 2.49, 95% CI: 1.60–3.86) [10–14], though the causal relationship and the pathological mechanisms involved are yet to be demonstrated and elucidated.
During the past 25 years, all African onchocerciasis-endemic countries have established national control programmes based on annual mass community-directed treatment with ivermectin (CDTI). Recent observations in the Democratic Republic of Congo (DRC) and northern Uganda suggest that onchocerciasis control through CDTI (plus vector control in the case of Uganda) may decrease the incidence of epilepsy [15–17]. The benefit of CDTI may result from the primary prevention of new cases of O. volvulus infection or the reduction in microfilarial density during childhood, even though an improvement in the frequency or severity of seizures after ivermectin treatment has also been suggested [18].
This study aimed at assessing the impact of repeated CDTI campaigns on (i) epilepsy prevalence and (ii) age distribution of suspected cases of epilepsy (SCE), in three villages of the Mbam Valley, Cameroon. These villages are located in an onchocerciasis-endemic area that we initially surveyed in 1991–1992, and in 2017 after a 25-year interval, including 19 years of CDTI implementation.
Methods
Study sites and procedures for the 1991–1992 surveys
Parasitological surveys were conducted in 25 villages of the Mbam Valley (“Mbam et Kim” and “Mbam et Inoubou” divisions, Centre Region, Cameroon) between 1991 and 1992, to measure the levels of infection with O. volvulus [19]. In view of the concerns about epilepsy raised by the local population, 14 villages were selected for assessing the number of SCE. The local population had a fairly good knowledge of the condition [20], including the two main types of epilepsy: generalized tonic-clonic seizures (“persons who fall”) and absence seizures. For each village, after sensitization of the community leaders, the village chiefs gathered at one location all those who were seen in the village as having epilepsy. Where a subject did not wish to come to the meeting point, they were visited at home. After recording his/her full name, sex and age, each subject was questioned separately by a physician and a nurse, together with close relatives who had witnessed one or more of the epileptic episodes. Individuals were considered to be suspected of having epilepsy if one of the following situations occurred at least twice without obvious cause: (i) fell to the ground with loss of consciousness; (ii) had shaking movements of the arms or legs without control; or (iii) seemed to be absent and did not answer questions asked by relatives. Careful questioning on the frequency and the circumstances of the seizures, the age at first seizure, and the anti-epileptic drugs taken allowed to distinguish SCE from other conditions such as isolated seizures or febrile convulsions. In most cases, SCE presented with typical symptoms of generalized tonic-clonic seizures or absence seizures. SCE were not re-examined by a neurologist to confirm the diagnosis of epilepsy. To calculate prevalences, the total number of people living in each village was extrapolated from the second general population and housing census of 1987, for which data by village was available, and a growth rate of 2.3% per year was applied.
Study sites and procedures for the 2017 survey
Three of the 14 communities surveyed in 1991–1992 were selected to be revisited in 2017, namely Bayomen (initial proportion of SCE: 13.6%, 15/110), Nyamongo (6.4%, 40/627) and Ngongol (8.7%, 28/323). The selection was done using two criteria: (i) the initial (1991–1992) prevalence of SCE had to be high to ensure sufficient statistical power while comparing to 2017 data; and (ii) they had to be fairly well separated from neighboring communities to prevent confusion during the population census in 2017. These villages are located in an area of a forest-savanna mosaic, 100 km north of Yaoundé (Cameroon’s capital city), and less than 2 km from the Mbam river with its numerous rapids suitable for Simulium breeding (Fig. 1). In 1991–1992, the community microfilarial load (CMFL, defined as the geometric mean of the individual microfilarial densities per skin snip in those aged ≥ 20 years, calculated after having added 1 to each density to include zero counts), was 88.4 microfilariae per skin snip (mf/ss) in Ngongol and 46.8 mf/ss in Nyamongo. The CMFL was not measured in Bayomen, but was certainly also very high. The principal activity of the people in this region is agriculture and to a lesser extent fishing and sand mining in the river. From 1998 onwards, all villages in the study area benefitted from annual CDTI developed by the African Programme for Onchocerciasis Control (APOC) but no vector control activity was ever conducted in the area. Additionally, the study area appears to be either free or subjected to a marginal impact of other epileptogenic parasitic diseases (i.e. cysticercosis, paragonimiasis, trypanosomiasis) [21–23].
Fig. 1.
Map of the study area. Crude prevalence estimates are based on the suspected cases of epilepsy. The map was created CBC by using ArcGIS v.10.3.1. (ESRI 2018). The basemap layer was retrieved from OpenStreetMap and contributors, CC-BY-SA (http://www.openstreetmap.org)
A door-to-door household epilepsy survey was conducted in the three selected villages in July 2017. A community questionnaire was administered to the key informants (village chiefs and secretaries) to obtain information on the village and its evolution over the last 25 years. The community health workers and/or ivermectin distributors who were trusted by the local population guided the investigators throughout the village and served as interpreters when necessary. Investigators provided adequate information about the study and obtained written consent from the household head before collecting demographic information (age and sex) for all the household members, and administering a validated 5-item questionnaire for epilepsy screening (see Additional file 1) [24]. The items were: (i) history of loss of consciousness and/or loss of bladder control and/or drooling; (ii) history of absence or sudden lapse of consciousness during a short period; (iii) history of sudden unintentional clonic movements or muscular jerks of arms and/or legs (convulsions) that stopped within minutes; (iv) history of sudden and brief bodily sensations, seeing or hearing things that are not there, or smelling strange odors; and (v) having been told that he/she had epilepsy or had experienced 2 epileptic episodes. SCE were asked whether they had already taken ivermectin and examined for the presence of cutaneous signs of onchocerciasis. Data related to the place of birth and the occupation of the household head, as well as the history of death due to epilepsy within the household, was also collected from the household head. Indigenous households were defined as those in which the household head was born in the village.
Case definitions
People who screened positive for one or more questions in the 5-item questionnaire (including those taking anti-epileptic medication) were recorded as SCE and evaluated by a neurologist using a more detailed questionnaire. A SCE was considered as a PWE if there was a history of at least two unprovoked seizures separated by 24 h or more, therefore excluding seizures related to acute events such as fever, trauma, substance abuse or withdrawal [25]. The possible epilepsy (PE) group included PWE and SCE who could not be examined by the study neurologists, and therefore for whom diagnosis of epilepsy was not ruled out.
Serologic assessment of the transmission of O. volvulus in 2017
Ongoing onchocerciasis transmission in the villages was assessed in children aged 7–10 years using the SD Bioline Onchocerciasis Ov16 IgG4 rapid diagnostic test (RDT) (Standard Diagnostics, Gyeonggido, South Korea) for anti-Onchocerca antibodies.
Statistical analyses
Categorical variables were summarized using percentages and compared using Chi-square tests. Continuous variables were summarized using median and interquartile ranges (IQR) and compared using the non-parametric Wilcoxon-Mann-Whitney test.
Potential predictors for epilepsy were investigated using bivariate mixed model analysis. All variables with a P-value of < 0.20 in the bivariate analysis were entered into a multivariable logistic mixed model analysis with a backward approach. Multivariable models systematically included gender, village, and age (≤ 15, 15–30, > 30 years) as independent variables. A random effect was set at the household level and allowed for evaluation of the intra-class correlation coefficient. Adjusted odds ratios (aORs) were calculated with 95% confidence intervals (95% CI). Crude incidence rates were approached by using the number of SCE with onset of epilepsy in 1986–1990 or 2012–2016 (n) divided by the estimated number of people at risk during the same 5-year period (N). A 5-year period was used due to the small number of new events occurring in a 1-year time period. Assuming that the population in the villages was relatively stable during the two 5-year periods, we assumed that the populations at the end of these periods were that estimated for 1991 (from data of the 1987 national population census), and that recorded in 2017 (during the survey), respectively. The number of people with onset of epilepsy prior to 1986 or 2012 and the number of people for whom the year of onset of epilepsy was not known were subtracted from these populations to obtain the denominators on which the incidence rates were calculated. We considered that the death and migrations of new cases of epilepsy during the 5-year period would have a minimal effect on the incidence. The incidence of epilepsy was presented as cases per 100,000 person-years (PY). The significance level was set at P < 0.05. All P-values were two-sided. All analyses were performed using R software, v.3.4.2, and Stata v.13.1 software (StataCorp, College Station, USA).
Standardization method
Crude prevalences were compared using Chi-square tests. Standardized prevalences were calculated using the sex and age structure of the population in the villages (age groups: 0–4, 5–9, 10–14, 15–19, 20–29, 30–39, > 40 years). In the 1991–1992 survey, the numbers of individuals in a given category were estimated using the total population in the village and the age and sex structure of the rural population recorded during the 1987 national census in the districts where the study villages are located. In order to enable a comparison of the prevalences between the surveys in 1991–1992 and 2017, a direct standardization was then performed by weighting the estimated SCE prevalences by sex and age group of 1991 using the age and sex structure of the population surveyed in 2017 [26].
Sensitivity analysis
The primary analyses were conducted on the total number of PWE identified in 2017. Sensitivity analysis was performed on the SCE and the PE cases. In addition, the survey conducted in 2017 revealed that significant immigration occurred into these villages between the surveys in 1991–1992 and 2017 (see “Results”). The CMFL in 1991 in the study villages were extremely high (see above), and subjects who arrived in these communities between the two surveys most probably came from areas with lower exposure to O. volvulus, although we lack information on their exact origin. Thus, this immigration might have led to an artificial reduction in the CMFL in the villages and, should high microfilarial densities cause epilepsy, to an artificial reduction in the SCE prevalence in 2017. To prevent the risk of an over-detection of a decrease in prevalence between 1991 and 2017, we conducted a sensitivity analysis restricted to the members of the indigenous households.
Results
Study population
A total of 324 households were screened in 2017, consisting of 2286 individuals: 582 (88 households) in Bayomen; 553 (86 households) in Ngongol; and 1151 (150 households) in Nyamongo. Individuals’ and household characteristics are presented in Table 1. There were 1148 women (50.2%) in the study population and the median age was 18 years (interquartile range, IQR: 7–33).
Table 1.
Characteristics of individuals and households surveyed in 2017. Indigenous households were defined as those in which the household head was born in the village
| Characteristic | Total | Bayomen | Ngongol | Nyamongo |
|---|---|---|---|---|
| Individuals’ characteristics | n = 2286 | n = 582 | n = 553 | n = 1151 |
| Age (years), median (IQR) | 18 (7–33) | 15 (6–32) | 20 (8–35) | 18 (8–33) |
| Female, n (%) | 1148 (50.2) | 306 (52.6) | 261 (47.2) | 581 (50.5) |
| Male, n (%) | 1138 (49.8) | 276 (47.2) | 292 (52.8) | 570 (49.5) |
| Household characteristics | n = 324 | n = 88 | n = 86 | n = 150 |
| Number of people per household, median (IQR) | 6 (4–9) | 6 (4–9) | 6 (4–8) | 7 (5–10) |
| Number of households whose head’s occupation is agriculture, n (%) | 278 (85.8) | 70 (79.6) | 73 (84.9) | 135 (90.0) |
| Number of indigenous households, n (%) | 173 (53.4) | 25 (28.4) | 35 (40.7) | 113 (75.3) |
| For migrants, year of immigration, median (IQR) | 2008 (1997–2014)a | 2012 (2002–2015) | 2002 (1987–2013)a | 2003 (1992–2013)a |
| Number of households with | ||||
| 1 SCE, n (%) | 59 (18.2) | 12 (13.6) | 23 (26.7) | 24 (16.0) |
| 2 SCE, n (%) | 14 (4.3) | 2 (2.3) | 4 (4.7) | 8 (5.3) |
| 3 or more SCE, n (%) | 7 (2.2) | 1 (1.1) | 1 (1.2) | 5 (3.3) |
| Number of households with history of death from epilepsy, n (%) | 52 (16.1)a | 12 (13.6) | 16 (18.6)a | 24 (16.0)a |
| Year of death, median (IQR) | 2007 (2000–2011) | 2005 (1999–2009) | 2009 (1999–2013) | 2007 (2001–2010) |
| Age at death (years), median (IQR) | 20 (15–27) | 19 (14–28) | 21 (15–27) | 20 (17–29) |
| Number of SCE, PWE and PE | ||||
| In the whole population | ||||
| SCE, n (%) | 112 (4.9) | 19 (3.3) | 34 (6.2) | 59 (5.1) |
| PWE, n (%) | 81 (3.5) | 15 (2.6) | 24 (4.3) | 42 (3.7) |
| PE, n (%) | 101 (4.4) | 17 (2.9) | 29 (5.2) | 55 (4.8) |
| In the indigenous population | ||||
| SCE, n (%) | 79 (5.9) | 14 (6.7) | 15 (6.5) | 50 (5.5) |
| PWE, n (%) | 58 (4.3) | 11 (5.3) | 10 (4.3) | 37 (4.1) |
| PE, n (%) | 71 (5.3) | 13 (6.3) | 12 (5.2) | 46 (5.1) |
| Characteristics of SCE, PWE and PE | ||||
| Age, median (IQR) | ||||
| SCE | 26 (20–34) | 29 (18–33) | 26 (21–39) | 24 (19–32) |
| PWE | 24 (20–32) | 26 (18–33) | 24 (20–31) | 24 (20–32) |
| PE | 24 (20–32) | 29 (21–33) | 23 (20–28) | 24 (19–30) |
| Not epilepsy patient | 46 (20–70) | |||
| Age at onset (years), median (IQR)b | 12 (10–14)a | 11 (9–13) | 11 (9–13) | 13 (10–15)a |
| Year of onset, median (IQR)b | 2004 (1996–2010)a | 2002 (1995–2011) | 2003 (1994–2009) | 2006 (1996–2010)a |
| Type of seizures | ||||
| Only NS, n (%)b | 2 (2.5) | 0 | 0 | 2 (4.8) |
| NS and other types of seizures, n (%)b | 21 (25.9) | 3 (20.0) | 9 (37.5) | 9 (21.4) |
| Other types of seizures, n (%)b | 58 (71.6) | 12 (80.0) | 15 (62.5) | 31 (73.8) |
aData missing
bFor PWE only
Abbreviations: SCE, suspected case of epilepsy; PWE, persons living with epilepsy; PE, persons with possible epilepsy (PWE and SCE who could not be examined by a neurologist); NS, nodding seizures
The proportion of indigenous households varied from 28.4% in Bayomen to 40.7% in Ngongol and 75.3% in Nyamongo. The proportion of households that had moved in from other locations was particularly high in Bayomen where the median year of arrival of the individuals recorded in 2017 was 2012 (IQR: 2002–2015). The median age of the indigenous and non-indigenous residents was 18 (IQR: 7–35) and 17 years (IQR: 7–32) (P = 0.059), respectively. Agriculture was the main declared occupation for 85.8% (n = 278) of the household heads, and each household housed a median of 6 people (IQR: 4–9).
Village data
In all three villages, CDTI was first implemented in 1998. In Bayomen, two people including the village chief and a certified nurse handled the drug distribution, with no interruption since 1998 (last distribution in June 2017). There was only one community distributor in Ngongol who reported no interruption in CDTI in the last 15 years (last distribution in July 2017), and two distributors in Nyamongo where the supply of ivermectin was repeatedly insufficient to ensure a good population coverage (last distribution in June 2016). There were no health centers in Bayomen and Ngongol. Antiepileptic drugs (AED) (phenobarbital and carbamazepine) were available in a private drug store in Bayomen, whereas in the other villages inhabitants had to buy AED in the city of Bafia (see Fig. 1). In Bayomen, the key informant reported a massive arrival of inhabitants who moved in from other regions of Cameroon, whereas there were only a few departures from Ngongol since 2015 without arrivals and no major change in Nyamongo.
Suspected cases of epilepsy
In 2017, the 5-item questionnaire administered to the household heads (and the subjects if they were present) allowed the identification of 112 SCE (prevalence of SCE: 4.9%). Among those who were later confirmed to be PWE, 71 (87.7%) had a positive answer to question 1, 33 (40.7%) to question 2, 65 (80.3%) to question 3, 10 (12.4%) to question 4 and 72 (88.9%) to question 5 [“have you (he/she) been told that you (he/she) had epilepsy or had had 2 epileptic episodes?”]. In contrast, only 3 of the 11 SCE (27.3%) for whom the diagnosis of epilepsy was refuted had a positive answer to this question 5. Fifty-two households (16.1%) had already lost one member, likely due to epilepsy (suspected), at a median age of 20 years (IQR: 15–27) (Table 1).
Confirmed cases of active epilepsy
In 2017, 92 of the 112 SCE could be examined by neurologists, who confirmed the diagnosis of active epilepsy in 81 of them (positive predictive value: 88.0%) (Fig. 2). Therefore, the prevalence of confirmed epilepsy was 3.5%. Twenty SCE could not be examined by neurologists, mainly because they were absent during the survey (i.e. the questionnaire was administered only to the household head), raising the prevalence of possible epilepsy to 4.4% (n = 101). The median age of unexamined SCE was 25 years (IQR: 20–30), 11 (55%) were males, and 16 (80%) had provided a positive answer to question 5.
Fig. 2.
Study flowchart. *SCE, suspected case of epilepsy; **PWE, person with epilepsy
In univariate analysis, factors associated with the PWE status were age, living in an indigenous household, and a history of death due to epilepsy within the household (Table 2). In multivariable mixed model analysis, and using the individuals aged < 15 years as the reference group, age remained strongly associated with PWE status, with aOR = 11.6 (95% CI: 5.4–25.4; P < 0.001) for the 15–30 age group and aOR = 3.9 (95% CI: 1.7–9.0; P = 0.002) for the > 30 age group. Indigenous households remained associated with a higher risk (aOR = 2.1; 95% CI: 1.1–4.2; P = 0.026), but having a household history of death due to epilepsy was no longer significant. The results obtained as part of the sensitivity analysis were similar, whatever the populations of epilepsy cases considered (SCE, PWE or PE cases) (Table 3). The random effect associated with the household was significant (P < 0.001), with an intra-class correlation coefficient equal to 23%.
Table 2.
Factors associated with epileptic status in the univariate analyses
| PWE | SCE | Possible epilepsy | |||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | P | OR | 95% CI | P | OR | 95% CI | P | |
| Male sex (ref: female) | 1.03 | 0.65–1.63 | 0.893 | 1.00 | 0.67–1.48 | 0.990 | 1.06 | 0.70–1.61 | 0.766 |
| Village | |||||||||
| Bayomen | ref | ref | ref | ||||||
| Ngongol | 1.95 | 0.90–4.25 | 0.091 | 2.18 | 1.10–4.30 | 0.025 | 2.12 | 1.03–4.37 | 0.042 |
| Nyamongo | 1.36 | 0.67–2.77 | 0.396 | 1.59 | 0.85–2.96 | 0.147 | 1.69 | 0.88–3.26 | 0.116 |
| Age | |||||||||
| < 15 years | ref | ref | ref | ||||||
| 15–30 years | 12.20 | 5.64–26.40 | <0.0001 | 9.71 | 5.22–18.05 | <0.0001 | 11.29 | 5.79–22.01 | <0.0001 |
| > 30 years | 4.40 | 1.92–10.10 | <0.0001 | 4.07 | 2.10–7.91 | <0.0001 | 3.78 | 1.83–7.82 | <0.0001 |
| Lives in an indigenous household (ref: no) | 1.78 | 1.00–3.18 | 0.049 | 1.71 | 1.05–2.81 | 0.032 | 1.69 | 1.01–2.84 | 0.046 |
| Household history of death from epilepsy (ref: no) | 1.93 | 1.00–3.70 | 0.050 | 2.30 | 1.33–3.96 | 0.003 | 1.83 | 1.01–3.30 | 0.047 |
| Household head occupation: agriculture (ref: other) | 1.98 | 0.72–5.44 | 0.184 | 1.32 | 0.61–2.84 | 0.481 | 1.73 | 0.72–4.13 | 0.218 |
Table 3.
Factors associated with epileptic status in the multivariable mixed model analysis (n = 2246)
| P | aOR | 95% CI | P | aOR | 95% CI | P | |||
|---|---|---|---|---|---|---|---|---|---|
| Male sex (ref: female) | 1.13 | 0.69–1.84 | 0.622 | 1.09 | 0.72–1.64 | 0.691 | 1.15 | 0.74–1.79 | 0.523 |
| Village | |||||||||
| Bayomen | ref | ref | ref | ||||||
| Ngongol | 1.51 | 0.66–3.44 | 0.325 | 1.66 | 0.83–3.33 | 0.151 | 1.70 | 0.79–3.64 | 0.174 |
| Nyamongo | 0.85 | 0.39–1.87 | 0.688 | 1.09 | 0.56–2.10 | 0.802 | 1.18 | 0.58–2.43 | 0.647 |
| Age | |||||||||
| < 15 years | ref | ref | ref | ||||||
| 15–30 years | 11.64 | 5.35–25.36 | <0.0001 | 9.01 | 4.84–16.15 | <0.0001 | 10.70 | 5.46–20.96 | <0.0001 |
| > 30 years | 3.85 | 1.66–8.98 | 0.002 | 3.53 | 1.80–6.92 | <0.0001 | 3.37 | 1.61–7.05 | 0.001 |
| Lives in an indigenous household (ref: no) | 2.14 | 1.09–4.19 | 0.026 | 1.91 | 1.10–3.30 | 0.021 | 1.78 | 0.98–3.22 | 0.057 |
| Household history of death from epilepsy (ref: no) | 1.74 | 0.89–3.37 | 0.104 | 2.03 | 1.19–3.47 | 0.009 | 1.63 | 0.89–2.96 | 0.112 |
Abbreviations: PWE, person living with epilepsy; SCE, suspected case of epilepsy; OR, odds ratio; aOR, adjusted OR; ref, reference
Comparison of the prevalences measured in 1991–1992 and 2017
The crude prevalence of SCE in the three villages decreased from 7.8% in 1991–1992 to 4.9% in 2017 (P < 0.001). When the villages were taken separately, the decrease was significant in Bayomen (from 13.6% to 3.3%; P = 0.001), but not in Ngongol (from 8.7% to 6.2%; P = 0.205) or in Nyamongo (from 6.4% to 5.1%; P = 0.282) (Fig. 3). When the analysis was restricted to indigenous households, the crude prevalences of SCE in 2017 were 6.7% (14/208) in Bayomen, 6.5% (15/232) in Ngongol and 5.5% (50/905) in Nyamongo. Considering that most of the SCE in 1991–1992 lived in indigenous households, the crude prevalence in this sub-population significantly decreased in Bayomen (P = 0.042) but not in Ngongol (P = 0.338) or Nyamongo (P = 0.484). When the SCE prevalence recorded in 1991–1992 was standardized on the age and sex structure of the population surveyed in 2017, standardized prevalences of 12.9% in Bayomen, 9.7% in Ngongol and 7.6% in Nyamongo were obtained. Comparisons of the prevalences standardized on the same sex- and age-structure show that they decreased significantly between the surveys in 1991–1992 and 2017 in the three villages (P < 0.001, P = 0.034 and P = 0.017, respectively).
Fig. 3.
Variation in crude prevalences of SCE between 1991–1992 (dark grey) and 2017 (light grey). Abbreviations: SCE, suspected case of epilepsy; NS, no significant difference
Shift in the age distribution of SCE between the surveys in 1991–1992 and 2017
Considering the three villages together, the median age of SCE increased from 16 years in 1991 (IQR: 13–21) to 26 years in 2017 (IQR: 20–34; P < 0.001) (Table 4). At the village level, SCE age increased from 20 (IQR: 12–23) to 29 years (IQR: 18–33; P = 0.018) in Bayomen, from 16 (IQR: 12–21) to 26 years (IQR: 21–39; P < 0.001) in Ngongol and from 16 (IQR: 13–19) to 24 years (IQR: 19–32; P < 0.001) in Nyamongo (Fig. 4). In 1991–1992, 49 (58.3%) of the SCE were 10–19 years-old (prevalence of 22.3%), whereas 21 (25.0%) were 20–29 years-old (prevalence of 16.3%). In 2017, only 23 (20.5%) of the SCE were 10–19 years-old (prevalence of 4.9%), whereas the majority (n = 44; 39.3%) were 20–29 years-old (prevalence of 11.6%) (Table 4).
Table 4.
Comparison of the age characteristics of the epilepsy cases in 1991–1992 and 2017
| 1991–1992 | 2017 | ||||
|---|---|---|---|---|---|
| SCE | SCE | P | PWE | P | |
| Age (years), median (IQR) | 16 (13–21) | 26 (20–34) | <0.001 | 24 (20–32) | <0.001 |
| Age group | |||||
| < 10 years, n (%) | 8 (9.5) | 3 (2.7) | 1 (1.2) | ||
| 10–19 years, n (%) | 49 (58.3) | 23 (20.5) | 18 (22.2) | ||
| 20–29 years, n (%) | 21 (25.0) | 44 (39.3) | 34 (42.0) | ||
| ≥ 30 years, n (%) | 6 (7.1) | 42 (37.5) | 28 (34.6) | ||
| Crude age-specific prevalencea | <0.001 | <0.001 | |||
| < 10 years, (%) | 2.5 | 0.4 | 0.1 | ||
| 10–19 years, (%) | 22.3 | 4.9 | 3.8 | ||
| 20–29 years, (%) | 16.3 | 11.6 | 9.0 | ||
| ≥ 30 years, (%) | 1.6 | 6.0 | 4.0 | ||
| Age at onset (years), median (IQR) | 12 (8–15)b | na | 12 (10–14)c | 0.294 | |
| Age group at onset | |||||
| < 10 years, n (%) | 21 (25.0) | 19 (24.4) | |||
| 10–19 years, n (%) | 49 (58.3) | 57 (73.1) | |||
| 20–29 years, n (%) | 5 (6.0) | 1 (1.3) | |||
| ≥ 30 years, n (%) | 1 (1.2) | 1 (1.3) | |||
| Years since onset of epilepsy, median (IQR) | 5 (2.0–7.5)b | na | 12.5 (7–21)b | <0.001 | |
aEstimated number of people per age group (< 10, 10–19, 20–29 and ≥ 30 years) were obtained by applying the age structure of districts from the 1987 census
b8 missing data
Abbreviation: na, not available
Fig. 4.
Age shift of the cohort of people living with epilepsy between 1991–1992 and 2017
The median age at first seizure of the PWE recorded in 2017 was 12 years (IQR: 10–14) and was similar in the three villages. This median age at first seizure was similar in the 1991–1992 survey (12 years, IQR: 8–15; P = 0.294). Those surveyed in 2017 had been living for a longer time with epilepsy (12.5 years, IQR: 7–21) as compared with 1991–1992 (5 years, IQR 2–7.5; P < 0.001).
Incidence rates
Crude incidence rates were estimated to be roughly 802 SCE per 100,000 PY for the 1985–1990 period (n = 41 incident cases, N = 1060 at risk) as compared to 146 SCE per 100,000 PY for the 2012–2016 period (n = 16 incident cases including 2 in Bayomen, 4 in Ngongol and 10 in Nyamongo, among a total of 2190 at risk).
Results of the Ov16 rapid diagnostic tests in children
A total of 307 children aged 7–10 years were examined (121 in Bayomen, 85 in Ngongol and 101 in Nyamongo). The proportions of Ov16-positive children did not differ significantly between the three villages (55.4, 42.4 and 46.5%, respectively; P = 0.156). The values tended to decrease with age (54.2, 51.9, 46.8 and 41.0% in children aged 7, 8, 9 and 10 years, respectively), the difference being not significant (P = 0.309).
Discussion
Our study is, to our knowledge, the first study that has (i) permitted comparison of the burden of epilepsy in the same communities in a hyperendemic onchocerciasis area, before and after repeated rounds of CDTI (19 years since first implementation); (ii) used epilepsy screening tools that are very similar to those used before implementation of CDTI; and (iii) employed standardization techniques to ensure more accurate comparisons. Our study therefore brings new evidence to support the idea that CDTI has a significant impact on epilepsy burden.
Both crude and standardized epilepsy prevalences significantly decreased overall between the surveys in 1991–1992 and 2017. It could be argued that, with an estimation of 70% of survival at 10 years among people with epilepsy [27], and with the follow-up of 25 years in our study, more than half of the people living with epilepsy in 1991–1992 had died, therefore not contributing any more to the prevalences observed in 2017. Nevertheless, the prevalence of any endemic disease remains stable under the hypothesis that the incidence rate is counterbalanced by the mortality rate. The decrease in SCE prevalence that we observed can thus be either related to a rise in the mortality rate (which would imply worsening of the care of people living with epilepsy, seemingly unlikely given the trends towards gaining better access to medications and health facilities) or to a decrease in incidence. The age of onset of epilepsy remained unchanged between 1991–1992 and 2017. Meanwhile, PWE surveyed in 2017 were older, with a higher duration of disease, as compared with 1991–1992. Altogether these results imply a greater survival of PWE in 2017 and fewer new cases of epilepsy in recent years. It is therefore unlikely that there was a rise in mortality among PWE in our study population. Nevertheless, the incidence figures should be interpreted cautiously even though the crude rates show a drastic decrease after 25 years. Altogether our results highlight that the age shift in the PWE population can be interpreted as a cohort effect.
The difference in prevalence was striking in Bayomen, which was the only village where the decrease in the crude prevalence between 1991–1992 and 2017 was statistically significant. This difference between Bayomen and the two other villages might be due to (i) a higher CDTI coverage in Bayomen, where the village chief was also the ivermectin community distributor, whereas there were complaints in Ngongol and Nyamongo over shortages of ivermectin and suboptimal therapeutic coverage; (ii) an under- or overestimation of the SCE prevalences in 1991–1992; and/or (iii) the much higher immigration rate in Bayomen, leading to an artificial overestimation of the decrease in the prevalence in the village. Even if it is known that the sensitivity of the Ov16 RDT is lower than that of the Ov16 ELISA [28], the finding of a similar high prevalence of Ov16 antibodies in children 7–10 years-old in the three villages suggests a similar high degree of ongoing O. volvulus transmission, which could partly be due to programmatic reasons, including suboptimal ivermectin supply and poor monitoring. The observation that in 2017 the proportions of SCE and PWE in the total population of Bayomen (3.3 and 2.6%, respectively) were fairly low in comparison to those in the population of the indigenous households (6.7 and 5.3%, respectively) makes the latter hypothesis likely. The rapid increase in the size of Bayomen due to migration (population: 110 in 1991–1992 and 582 in 2017; to be compared with 323 and 553, respectively, in Ngongol; and to 627 and 1151, respectively, in Nyamongo) might also have led to a decrease in the individual exposure to blackflies (in the “vector-to-host ratio” [29]), and thus a slower increase in the O. volvulus microfilarial densities in the population, including the children.
Previous surveys conducted in onchocerciasis endemic areas in Africa before the introduction of CDTI showed that epilepsy prevalences were highest in the population aged 10–20 years (median age range 11–20 years; proportion in age group: 48.1–67.2% of all epileptic patients) [30–36]. Interestingly, two cross-sectional surveys conducted in Nigeria and Cameroon, in which several years of CDTI had been ongoing, showed that epilepsy prevalences were higher in the 20–29 years age group [37, 38]. These observations suggest that CDTI may reduce the incidence of epilepsy, although no baseline data were available. A case–control study conducted in onchocerciasis-endemic regions Democratic Republic of Congo (DRC) suggested that among people showing signs of onchocerciasis, those who took ivermectin were less likely to develop epilepsy than those who did not (OR = 0.52; 95% CI 0.28–0.98) [15]. To date, the exact mechanism driving the ascertained association between mass distribution of ivermectin and the decline in the prevalence of epilepsy remains to be elucidated. A recent study by our team showed a temporal relationship between onchocerciasis acquisition and development of epilepsy [39] suggesting that the action of ivermectin is likely mediated by its impact on Onchocerca volvulus, although it is also effective on other parasites. In studies performed before the introduction of ivermectin, microfilariae have been occasionally observed in cerebrospinal fluid [40, 41]. Therefore, the parasite itself may cause seizures or they may be caused by a more complex mechanism linked to a previous transit of parasites within the host immune system, including the hypothesis of the induction of a neurotoxic auto-immune response.
One limitation to our study resides in the lack of complete data on the present intensity of infection with O. volvulus, and on the therapeutic coverage achieved during the CDTI organized in the communities. However, the results of the examination of children by the Ov16 RDT demonstrate that transmission of onchocerciasis is ongoing at fairly high levels, thus corroborating the results of a parasitological survey conducted in 2015 in four villages of the study area, including Ngongol [42]. In the latter village, the prevalence of skin microfilariae decreased from 97.2% in 1992 to 57.0% in 2015 (a 41.4% reduction) but, more importantly, the CMFL decreased from 88.4 mf/ss to 1.6 mf/ss during the same period (98.2% reduction). This result supports the hypothesis that the impact of CDTI on the incidence of epilepsy is probably mainly due to a decrease in the quantitative indicators of transmission (CMFL and annual transmission potential in the vector population) and not in the skin microfilaria prevalence. This being said, a greater impact of CDTI on epilepsy would likely be achieved if drug coverage was higher in children. Unfortunately, another study conducted in the Bafia Health District showed that the coverage in 2014 was only 60% in children aged 5–9 years, and that the values increased progressively with age [43].
A second limitation of our study is that other etiologies of epilepsy could not be fully accounted for, and it could be suspected, for instance, that improved maternal care has reduced perinatal brain damage in newborns. Nevertheless, to our knowledge, no large-scale intervention against malaria is ongoing in the study area, other than the national bednet distribution programme. Notwithstanding these unaccounted factors, sensitivity analyses are reassuring on the consistency of our results, as data from the PWE or PE populations did not differ much from those from SCE.
Lastly, the definitions of suspect cases in 1991–1992 and 2017 were close, but not strictly identical. The main reason is that the first survey was conducted before a validated questionnaire for identifying the SCE was available. In 2017 all declared SCE cases were considered whereas some were excluded by questioning in 1991–1992, therefore marginally underestimating the initial SCE prevalences.
Interestingly, and independently from the principal objective of the study, we found a high positive predictive value of the 5-item questionnaire (88%) in our study area, that confirms its good screening accuracy [44]. Besides this, the analyses revealed the existence of a household effect, accounting for 23% of the variation in the risk of being a PWE. This can be explained by intrinsic genetic factors or by extrinsic factors shared by the household. The latter could be an intra-household similar intensity of exposure to blackfly bites, depending on the distance between the house or the workplace, and the river [45]. Figure 1 (right panel), suggests that in Nyamongo, like in other settings, there is a correlation between epilepsy and river proximity [19, 46].
Conclusions
In conclusion, our study adds to the growing body of evidence for the impact of CDTI in decreasing the burden of epilepsy by limiting incident cases in hyperendemic onchocerciasis foci in Africa. Nevertheless, the still high epilepsy prevalence and the high prevalence of onchocerciasis antibodies in children 7–10 years-old, indicates a need for advocacy to strengthen onchocerciasis elimination programmes and improve comprehensive health services for PWE in these rural areas.
Additional file
Additional file 1. Household questionnaire.
Acknowledgements
We are grateful to all the local authorities from Bayomen, Ngongol, and Nyamongo, as well as the population for their participation.
Funding
This research was funded by ERC Advanced Grant (671055), NSETHIO Project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Availability of data and materials
Data supporting the conclusions of this article are included within the article. The datasets used and/or analyzed during the present study are available from the corresponding author upon reasonable request.
Authors’ contributions
CB, AKN, FD, MKM and JNSF participated in the field study. AKN, ACKB, PS, HCND, JK, CBC, MB and RC designed the study. CB analyzed data. CB wrote the first manuscript draft. AKN, JNSF, ACKB, HCND, JK, CBC, MB and RC participated in the writing of the manuscript. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The study protocol was approved by the ethical committee of the University of Antwerp (registration number B300201731362) and the Cameroon National Ethics Committee for Research in Human Health (registration number 2017/02/875/CE/CNERSH/SP). Administrative authorization to conduct the research was obtained from the Ministry of Public Health of Cameroon (D30-177/L/MINSANTE/SG/DROS/TMC). All adult participants provided written informed consent. A parent or guardian of any participant aged < 18 years provided written informed consent on their behalf, but child assent was systematically sought and recorded on a dedicated form for those aged 12–18 years.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abbreviations
- CDTI
Community-directed treatment with ivermectin
- DRC
Democratic Republic of Congo
- SCE
Suspected cases of epilepsy
- PE
Possible epilepsy
- PWE
Person with epilepsy
- RDT
Rapid diagnostic rest
- PY
Person-years
- AED
Antiepileptic drugs
Contributor Information
Charlotte Boullé, Email: boulle.charlotte@gmail.com.
Alfred K. Njamnshi, Email: alfredknjamnshi@gmail.com
Fidèle Dema, Email: demfidel@yahoo.fr.
Michel K. Mengnjo, Email: mengnjomichel@yahoo.com
Joseph Nelson Siewe Fodjo, Email: JosephNelson.SieweFodjo@uantwerpen.be.
Anne-Cécile Zoung-Kanyi Bissek, Email: annezkbissek@yahoo.fr.
Patrick Suykerbuyk, Email: patrick.suykerbuyk@uantwerpen.be.
Cédric G. Lenou-Nanga, Email: lenoucedric@gmail.com
Hugues C. Nana-Djeunga, Email: nanadjeunga@crfilmt.org
Joseph Kamgno, Email: kamgno@crfilmt.org.
Cédric B. Chesnais, Email: cedric.chesnais@ird.fr
Michel Boussinesq, Email: michel.boussinesq@ird.fr.
Robert Colebunders, Email: robert.colebunders@uantwerpen.be.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Additional file 1. Household questionnaire.
Data Availability Statement
Data supporting the conclusions of this article are included within the article. The datasets used and/or analyzed during the present study are available from the corresponding author upon reasonable request.