Brain Abscess in Undiagnosed Tetralogy of Fallot
Kelvin Nemayire,
Kantenga Dieu Merci Kabulo,
Luxwell Jokonya,
Patrice Ntenga,
Aaron Masiiwe Musara,
Kazadi Kaluile Ntenga Kalangu
Issue:
Volume 6, Issue 1, March 2018
Pages:
1-4
Received:
5 September 2017
Accepted:
3 January 2018
Published:
19 January 2018
Abstract: Cardiovascular disease is a leading cause of mortality in all ages worldwide. Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart disease (CHD) accounting for 10%. There have been several reports of neurological complications associated with TOF. Although it is known, brain abscess (BA) is a serious complication in patients with uncorrected CHD mostly in the age of 4-7 years-old. We report a case of a 7 year old male who presented with a 3 month history of left sided body weakness and a 3 week history of a headache and fever. Patient was chronically unwell since birth where he would experience occasional episodes of exertional dyspnoea which was never investigated. Chest xray showed a globular-shaped heart. CT scan brain showed a 1,8 x 1,3 x 1,5 cm ring-enhancing lesion in the right parietal region with minimal perilesional vasogenic edema communicating with the body of the lateral ventricle, with enhancement of the ependymal lining of the ventricle; echocardiography revealed ventricular septal defect (VSD), overriding of aorta, obstruction to right ventricular outflow tract and hypertrophy of right ventricle consistent with a diagnosis of TOF. We elected to manage the patient conservatively on intravenous antibiotics, Patient improved significantly neurologically and was transferred to the cardiothoracic surgeons for further management of TOF.
Abstract: Cardiovascular disease is a leading cause of mortality in all ages worldwide. Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart disease (CHD) accounting for 10%. There have been several reports of neurological complications associated with TOF. Although it is known, brain abscess (BA) is a serious complication in patients with ...
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A Predictive Model for the Risk of Mental Illness in Nigeria Using Data Mining
Mhambe Priscilla Dooshima,
Egejuru Ngozi Chidozie,
Balogun Jeremiah Ademola,
Olusanya Olayinka Sekoni,
Idowu Peter Adebayo
Issue:
Volume 6, Issue 1, March 2018
Pages:
5-16
Received:
24 October 2017
Accepted:
9 November 2017
Published:
23 January 2018
Abstract: This study identified the risk factors for mental illness and formulated a predictive model based on the identified variables. The study simulated the formulated model and validated the model with a view to developing a model for predicting the risk of mental illness. Following the review of literature in order to understand the body of knowledge surrounding mental illness and their corresponding risk factors, interview with mental experts was conducted in order to validate the identified variables. Naïve Bayes’ and the Decision Trees’ Classifiers were used to formulate the predictive model for the risk of mental illness based on the identified and validated variables using the WEKA software. Data was collected from 30 patients with an almost equal distribution of no, low, moderate and high risk of mental illness cases. The results showed that there were three classes of risk factors associated with mental illness, namely: biological factors, psychological factors and environmental factors. The results further showed that the formulation with Decision Trees Classifiers revealed the most relevant variables for the risks of mental illness such as losing anyone close. C4.5 decision trees algorithm with an accuracy of 83.3% outperformed the Naïve Bayes’ algorithm which had an accuracy of 76.7%. The study concluded that the variables identified by the C4.5 Decision Trees algorithm can assist mental health experts to apply the rules deduced by the algorithm for the early detection of mental illness.
Abstract: This study identified the risk factors for mental illness and formulated a predictive model based on the identified variables. The study simulated the formulated model and validated the model with a view to developing a model for predicting the risk of mental illness. Following the review of literature in order to understand the body of knowledge s...
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Prevalence of Sickle Cell Among Patients Attending Immunogenetic Diagnostic Laboratory Akwanga, Nasarawa State Nigeria
Raymond Tersoo Ada,
Patrick Ije Ode,
Stephen Oche Onah
Issue:
Volume 6, Issue 1, March 2018
Pages:
17-24
Received:
22 September 2017
Accepted:
10 October 2017
Published:
7 March 2018
Abstract: Sickle Cell Disease is an inherited blood disease caused by abnormal haemoglobin. This study was conducted to determine the prevalence of sickle cell among patients attending Immunogenetic Diagnostic Laboratory Akwanga, Nassarawa State. Aseptically, 2mls of blood was collected from the dorsal vein of the patients into Ethylene Diamine Tetra-acetic Acid (EDTA) bottles and mixed gently to prevent clotting. A small quantity of haemolysate from each of the subjects was placed on a cellulose acetate membrane and carefully introduced into the Electrophoretic tank containing Tris-EDTA buffer at pH 8.6. Electrophoretic separation was then allowed to take place for 15-20 minutes at an Electromotive Force (EMF) of 160V. A total of three hundred and eighty three (283) patients consisting of 195 (50.9%) males and 188 (49.1%) females were sampled in the study. Questionnaires were administered to the patients involved in the study as to obtain demographic and other relevant information regarding the research. The prevalence of the HbAA, HbAS and HbSS were 72.32%, 25.06% and 2.60% respectively. Statistically, there was a significant difference (p<0.05) between gender, age, locality and the prevalence of the Sickle Cell as observed in this study. The prevalence recorded for HbSS in this study is low compared to the value range of 1-10% expected for Nigeria. Based on the findings from this study, it is recommended that genetic counseling policies should be developed to enable prospective couples make decisions aimed at reducing the sickling gene pool in our population.
Abstract: Sickle Cell Disease is an inherited blood disease caused by abnormal haemoglobin. This study was conducted to determine the prevalence of sickle cell among patients attending Immunogenetic Diagnostic Laboratory Akwanga, Nassarawa State. Aseptically, 2mls of blood was collected from the dorsal vein of the patients into Ethylene Diamine Tetra-acetic ...
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