Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
1.
Eur J Med Genet ; 64(9): 104267, 2021 Sep.
Article in English | MEDLINE | ID: mdl-34161860

ABSTRACT

Down syndrome is one of the most common chromosomal anomalies affecting the world's population, with an estimated frequency of 1 in 700 live births. Despite its relatively high prevalence, diagnostic rates based on clinical features have remained under 70% for most of the developed world and even lower in countries with limited resources. While genetic and cytogenetic confirmation greatly increases the diagnostic rate, such resources are often non-existent in many low- and middle-income countries, particularly in Sub-Saharan Africa. To address the needs of countries with limited resources, the implementation of mobile, user-friendly and affordable technologies that aid in diagnosis would greatly increase the odds of success for a child born with a genetic condition. Given that the Democratic Republic of the Congo is estimated to have one of the highest rates of birth defects in the world, our team sought to determine if smartphone-based facial analysis technology could accurately detect Down syndrome in individuals of Congolese descent. Prior to technology training, we confirmed the presence of trisomy 21 using low-cost genomic applications that do not need advanced expertise to utilize and are available in many low-resourced countries. Our software technology trained on 132 Congolese subjects had a significantly improved performance (91.67% accuracy, 95.45% sensitivity, 87.88% specificity) when compared to previous technology trained on individuals who are not of Congolese origin (p < 5%). In addition, we provide the list of most discriminative facial features of Down syndrome and their ranges in the Congolese population. Collectively, our technology provides low-cost and accurate diagnosis of Down syndrome in the local population.


Subject(s)
Automated Facial Recognition/methods , Down Syndrome/pathology , Facies , Image Processing, Computer-Assisted/methods , Automated Facial Recognition/economics , Automated Facial Recognition/standards , Democratic Republic of the Congo , Developing Countries , Down Syndrome/genetics , Genetic Testing , Humans , Image Processing, Computer-Assisted/economics , Image Processing, Computer-Assisted/standards , Machine Learning , Sensitivity and Specificity
2.
Pan Afr Med J ; 21: 303, 2015.
Article in English | MEDLINE | ID: mdl-26587151

ABSTRACT

INTRODUCTION: Epilepsy is the most common of serious neurological disorders, yet despite considerable efforts, good access to medication, appropriate social and societal acceptance and acceptable quality of life (QoL) are difficult to achieve especially in developing countries. It is estimated that over 500,000 people suffer from epilepsy in the DRC. There is no report, in our knowledge on the epilepsy in Lubumbashi. METHODS: A descriptive study was undertaken in individuals with a clinical diagnosis of epilepsy who presented at the CNPJG outpatient clinic in Lubumbashi over a 12 months period. A 64-item questionnaire was used to collect information from the patients. Case records were reviewed and relevant demographic, social, professional, medical history, medical condition data were extracted. RESULTS: Among 3,540 patients who presented to a neuropsychiatric clinic run by the Fracarita charity over a 1-year period, 423 (11.9%) were identified as having epilepsy, and 179 were subsequently included in the survey after they (or their parent/guardian) provided informed consent and completed an EEG investigation. Data were collected using a standardized, 64-item questionnaire. Epilepsy had negative impact on the lives of individuals with the condition; 40.8% had either no education or had completed primary education only, 38.0% were unemployed and the majority (64.6%; n = 113) were unmarried or divorced. Family history of epilepsy (first or second degree) was present in 23.5% of cases. Other reported factors that could potentially precipitate epilepsy included obstetric and perinatal factors (15.1%) and central nervous system infections during infancy (8.4%). Consumption of alcohol or recreational drugs accounted for 10.6%. The treatment gap was above 67% and the delay between first seizure and first consultation was 15 months. When asked to describe their condition, or its cause, 55.3% of participants (or their families) considered epilepsy to be of spiritual/ religious origin, while 25.1% had almost no insight and could not provide any description. CONCLUSION: This first epidemiological study shows a high prevalence of epilepsy among patients presenting to the clinic in Lubumbashi, DRC, and reveals a significant treatment gap.


Subject(s)
Epilepsy/epidemiology , Health Knowledge, Attitudes, Practice , Quality of Life , Adolescent , Adult , Aged , Aged, 80 and over , Child , Democratic Republic of the Congo/epidemiology , Epilepsy/drug therapy , Epilepsy/etiology , Female , Humans , Male , Middle Aged , Patient Acceptance of Health Care/statistics & numerical data , Prevalence , Risk Factors , Surveys and Questionnaires , Time Factors , Young Adult
3.
J Mol Neurosci ; 46(1): 210-6, 2012 Jan.
Article in English | MEDLINE | ID: mdl-21701789

ABSTRACT

The molecular epidemiology of stroke is critically lacking in the developing world. We explored the relationships between genetics polymorphism and risk for ischemic stroke among the residents of Casablanca, Morocco. Ninety-one stroke patients matched 1:2 for their age, gender, and ethnic background to 182 healthy controls who were genotyped for the prothrombin G20210A mutation and factor V (FV) Leiden and were assessed for conventional risk factors for stroke. No significant association was found between prothrombin gene mutation with stroke (p = .054). Regarding stroke subtypes, significant relationships between patients with a large artery disease subtype of stroke and this mutation was found compared to controls (p = .046). As a genetic risk factor to develop this event, a strong association was observed when adjusted for conventional vascular risk factors (adjusted OR, 4.3; p = .029). No FV Leiden was found. We suggest that prothrombin mutation but not FV Leiden should be considered as a modest genetic risk factor for large artery disease stroke subtype in the Moroccan population.


Subject(s)
Factor V/genetics , Prothrombin/genetics , Stroke/epidemiology , Stroke/genetics , Adult , Case-Control Studies , Female , Humans , Male , Middle Aged , Point Mutation/genetics , Polymorphism, Single Nucleotide/genetics , Risk Factors
SELECTION OF CITATIONS
SEARCH DETAIL
...