| Literature DB >> 32098311 |
Edmond Wonkam Tingang1, Jean Jacques Noubiap2, Jean Valentin F Fokouo3, Oluwafemi Gabriel Oluwole1, Séraphin Nguefack4,5, Emile R Chimusa1, Ambroise Wonkam1,6.
Abstract
The incidence of hearing impairment (HI) is higher in low- and middle-income countries when compared to high-income countries. There is therefore a necessity to estimate the burden of this condition in developing world. The aim of our study was to use a systematic approach to provide summarized data on the prevalence, etiologies, clinical patterns and genetics of HI in Cameroon. We searched PubMed, Scopus, African Journals Online, AFROLIB and African Index Medicus to identify relevant studies on HI in Cameroon, published from inception to 31 October, 2019, with no language restrictions. Reference lists of included studies were also scrutinized, and data were summarized narratively. This study is registered with PROSPERO, number CRD42019142788. We screened 333 records, of which 17 studies were finally included in the review. The prevalence of HI in Cameroon ranges from 0.9% to 3.6% in population-based studies and increases with age. Environmental factors contribute to 52.6% to 62.2% of HI cases, with meningitis, impacted wax and age-related disorder being the most common ones. Hereditary HI comprises 0.8% to 14.8% of all cases. In 32.6% to 37% of HI cases, the origin remains unknown. Non-syndromic hearing impairment (NSHI) is the most frequent clinical entity and accounts for 86.1% to 92.5% of cases of HI of genetic origin. Waardenburg and Usher syndromes account for 50% to 57.14% and 8.9% to 42.9% of genetic syndromic cases, respectively. No pathogenic mutation was described in GJB6 gene, and the prevalence of pathogenic mutations in GJB2 gene ranged from 0% to 0.5%. The prevalence of pathogenic mutations in other known NSHI genes was <10% in Cameroonian probands. Environmental factors are the leading etiology of HI in Cameroon, and mutations in most important HI genes are infrequent in Cameroon. Whole genome sequencing therefore appears as the most effective way to identify variants associated with HI in Cameroon and sub-Saharan Africa in general.Entities:
Keywords: Africa; Cameroon; etiologies; genetics; hearing impairment; prevalence
Mesh:
Substances:
Year: 2020 PMID: 32098311 PMCID: PMC7073999 DOI: 10.3390/genes11020233
Source DB: PubMed Journal: Genes (Basel) ISSN: 2073-4425 Impact factor: 4.141
Figure 1Flow chart of studies selection.
General characteristics of the included studies.
| First Author’s Name, Publication Year | Area | Regions | Study Setting | Study Design | Data Collection | Study Population | Male (%) | Mean Age (Years) | Age Range (Years) | Sample Size | Diagnosis Tool | Quality |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Fokouo, 2015 [ | urban | center region | hospital | case-control | prospective | patients followed up for HIV infection. | 28.3 | 33.4 ± 7.7 | 15–49 | 180 | PTA | high |
| Wonkam, 2013 [ | urban and rural | 7 regions | school and hospital | cross sectional | prospective | patients with childhood deafness | 54.1 | 11 * | 1–32 | 582 | PTA and ABR | high |
| Lebeko, 2017 [ | urban and rural | 7 regions | schools and hospital | cross sectional | prospective | patients with non-syndromic hearing impairment of either putative genetic origin or unknown origin | NR | NR | NR | 57 | PTA | high |
| Djomou, 2016 [ | urban | center region | hospital | cross sectional | retrospective | patients admitted at the ENT unit for sensorineural emergencies | NR | 43.2 ± 17 | 16–66 | 22 | PTA | low |
| Tingang Wonkam, 2019 [ | urban and rural | 8 regions | school and community | cross sectional | prospective | familial hearing impairment cases | 45.2 | 18 ± 10.4 | 1–50 | 93 | PTA and ABR | high |
| Trotta, 2011 [ | rural | Far-North region | school | cross sectional | prospective | patients with prelingual hearing loss | 74.4 | NR | >5 | 70 | PTA | moderate |
| Wonkam, 2013 [ | NR | NR | school | Case report | prospective | patients suffering from KID syndrome | 0 | 3.5 ± 2.12 | 2–5 | 2 | PTA and ABR | high |
| Kuaban, 2015 [ | urban | 2 regions | hospital | longitudinal | prospective | MDR-TB (multidrug-resistant tuberculosis) patients, treated with a standardized 12-months regiment, including kanamycin. | 51.3 | 33.7 | 17–68 | 150 | PTA | moderate |
| Jivraj, 2014 [ | rural | Northwest region | school | cross sectional | prospective | students at two schools, including a school for the deaf | 58.2 | 11.8 ± 2.8 | NR | 320 | NR | low |
| Bosch, 2014 [ | urban and rural | 7 regions | school and hospital | cross sectional | prospective | patients with deafness of either putative genetic origin or unknown origin and that were shown not to have mutation in | 52 | 12.11 | NR | 75 | PTA | high |
| Ferrite, 2017 [ | rural | Northwest region | community | cross sectional | prospective | general population of the Fundong Health District, Northwest Cameroon | 40.8 | 24.4 | 0–80+ | 3567 | PTA and OAE | high |
| Bosch, 2014 [ | urban and rural | 7 regions | school and hospital | cross sectional | prospective | patients with deafness of either putative genetic origin or unknown origin | NR | NR | NR | 180 | PTA | high |
| Lebeko, 2016 [ | urban and rural | NR | school and hospital | cross sectional | prospective | families with at least two individuals with ARNSHI who were negative for pathogenic variants in | 53.8 | NR | NR | 26 | PTA | high |
| Chiabi, 2004 [ | rural | East region | hospital | cross sectional | retrospective | patients admitted and treated for severe malaria | 55.3 | 2.7 | 0–15 | 387 | self-reported | low |
| Trébucq, 2018 [ | urban | NR | hospital | longitudinal | prospective | MDR-TB (multidrug-resistant tuberculosis) patients, treated with a standardized 9-months regiment, including kanamycin | NR | NR | ≥18 | 176 | PTA | moderate |
| Cockburn, 2014 [ | rural | Northwest region | community | cross sectional | prospective | people living in the Northwest region of Cameroon | 43.3 | NR | 0–70+ | 18 878 | self-reported | low |
| Noubiap, 2014 [ | urban and rural | 7 regions | schools and hospital | cross sectional | prospective | patients suffering from Waardenburg syndrome | 50 | 12.2 ± 7 | 6–25 | 6 | PTA | high |
ABR, auditory brainstem response test; ARNSHI, autosomal recessive non-syndromic hearing impairment; ENT, ear nose and throat; KID, keratitis–ichthyosis–deafness; NR, not reported; OAE, otoacoustic emission test; PTA, pure tone audiometry; * The number shown here is the median.
Etiologies of hearing impairment in Cameroon and comparison to other African countries.
| Country | Cameroon | Cameroon | Sierra Leone | Gambia | Ghana | Nigeria |
|---|---|---|---|---|---|---|
| Year of publication | 2013 | 2017 | 1991 | 1985 | 2019 | 1982 |
| Reference | [ | [ | [ | [ | [ | [ |
| Number of patients | 582 | 127 | 354 | 259 | 1104 | 298 |
| Hereditary | 14.8% | 0.8% | – | 8.1% | 21.3% | 13.1% |
| Meningitis | 34.4% | – | 23.9% | 31.7% | 3.9% | 11% |
| Impacted wax | – | 31.5% | – | – | – | – |
| Age-related HI | – | 22.8% | – | – | – | – |
| Noise-induced HI | – | 1.5% | – | – | – | – |
| Measles | 4.3% | – | 4.1% | 1.9% | 0.9% | 13% |
| Rubella | 0.5% | – | – | 1.5% | 0.2% | 2% |
| Mumps | 2.1% | – | 16.7% | – | 0.5% | 3% |
| Ototoxicity | 6% | – | 20.8% | – | – | 9% |
| Other | 5.3% | 6.4% | – | 2.3 | 13.1% | 7.7% |
| Unknown | 32.6% | 37% | 34.8% | 54.4% | 60.1% | 41.2% |
HI, hearing impairment.
Figure 2Illustration of some clinical signs found in Cameroonian patients with Waardenburg syndrome. (A) Premature white hair; (B) Sapphire-blue eyes (extracted from the study by Tingang Wonkam et al. [29]).
Figure 3Illustrations of some clinical features of the two Cameroonian KID cases (Case 1; panels A–D; Case 2 panels E and F). (A) Keratoderma of the soles; (B) Rippled hyperkeratotic plaques on the knees; (C) Hypotrichosis of the eyelashes and eyebrows; (D) Mild vascularizing keratitis; (E) Hyperkeratosis of the hands; (F) Alopecia, hypotrichosis, ichthyosiform erythrokeratoderma (extracted from the paper by Wonkam et al. [30]).