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Ankyloblepharon Filiforme Adnatum: A Case Report
Nabil Albab,
Sarah Belghmaidi,
Ibtissam Hajji,
Abdeljalil Moutaouakil,
Imane Ouahidi,
Mounir Bourrous
Issue:
Volume 3, Issue 1, June 2020
Pages:
1-3
Received:
10 November 2019
Accepted:
31 December 2019
Published:
9 January 2020
DOI:
10.11648/j.ijcd.20200301.11
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Abstract: Introduction: Ankyloblepharon filiform adnatum (AFA) is defined by partial or complete fusion of the eyelids by webs of skin. It can be interest a part of the eyelid or its totality. Diagnosis should be done at an early stage of life. It is basically surgical. Case information: We describe a male new born at his twentieth day of life was referred for assessment of his both right and left eyelids. His was born on term. Pregnancy and delivery went normally. However there were first degree consanguinity. The baby was healthy apart from multiples bands of tissue between upper and lower eyelids of both of his eyes. These bands were axial, covering the pupil, and prevented full opening of both eyelids. The baby underwent surgery consisting of excising the bands of tissue with scissors at the level of each eyelid margin. Eye examination did not reveal any abnormality. Two months later, the follow up showed no anomaly. Conclusion: Ankyloblepharon filiform adnatum may be rare but it is potentially amblyogenic. However, the major practical importance of this anomaly is, perhaps, to alert the physician as to the presence of other associated congenital anomalies and the treatment should be performed as soon as the diagnosis is done.
Abstract: Introduction: Ankyloblepharon filiform adnatum (AFA) is defined by partial or complete fusion of the eyelids by webs of skin. It can be interest a part of the eyelid or its totality. Diagnosis should be done at an early stage of life. It is basically surgical. Case information: We describe a male new born at his twentieth day of life was referred f...
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Machine Learning Algorithm Applied for Predicting the Presence of Mycobacterium Tuberculosis
Issue:
Volume 3, Issue 1, June 2020
Pages:
4-7
Received:
17 November 2019
Accepted:
20 December 2019
Published:
10 January 2020
DOI:
10.11648/j.ijcd.20200301.12
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Abstract: Tuberculosis is a contagious disease that causes of death. The body's response to active TB infection produces inflammation that can damage the lungs. Areas affected by active TB gradually fill with scar tissue. It is spread from person-to-person. A person is often infected by inhaling the germs. Tuberculosis germs are spread into the air when a person with TB disease of the lungs or throat coughs, sneezes, speaks, or sings. These germs can stay in the air for several hours, depending on the environment. However, patients with chronic diseases, such as diabetes, chronic kidney disease, and silicosis, are at elevated risk. Finally, age younger than 4 years, long-term malnutrition, and substance abuse are independent risk factors for disease. The aim of this research work is to develop an adaptive Neuro-Fuzzy system for predicting the presence of Mycobacterium tuberculosis. The system is structured with inputs and one output of which rules were generated by the system with the help of three domain Medical expertise and are injected in to the knowledge based where the system would use this rules to make decisions and draw a conclusion. MATLAB7.0 was used to implement this experiment using fuzzy logic and Neural Network toolbox. In this experiment linguistic variables are evaluated using Gaussian membership function.
Abstract: Tuberculosis is a contagious disease that causes of death. The body's response to active TB infection produces inflammation that can damage the lungs. Areas affected by active TB gradually fill with scar tissue. It is spread from person-to-person. A person is often infected by inhaling the germs. Tuberculosis germs are spread into the air when a pe...
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Determinants of Syphilis Infection among Women Seeking Antenatal Care and Delivery Services in Olenchity Primary Hospital: A Case-Control Study
Gindo Lema Gutema,
Sileshi Garoma Abeya,
Alem Deksisa Abebe,
Girma Ashenafi Ayele
Issue:
Volume 3, Issue 1, June 2020
Pages:
8-14
Received:
11 November 2019
Accepted:
8 January 2020
Published:
4 February 2020
DOI:
10.11648/j.ijcd.20200301.13
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Abstract: The magnitude of syphilis infection among pregnant women is increasing worldwide. Syphilis infection during pregnancy is a risk of congenital syphilis for the fetus, might result in intrauterine death. The objective this study was to identify the predictors of syphilis infection among pregnant and delivering mother in Olenchity primary hospital from October 2017 to January 2018 G. C. Unmatched case-control study design (61 cases and 244 controls) was conducted among women seeking Antenatal care and delivery services. Cases and controls were selected based according to their of the serology result. Data was collected using pre-tested and structured questionnaire. The collected data were entered into EPI-info version 7 and analyzed using SPSS version 20. Principally binary logistic regression model was used to estimate the odds ratio at 95% confidence intervals. Education (AOR, 0.381; 95% CI: 0.169, 0.857), knowledge about Sexually transmitted Infections (AOR, 0.244 95% CI: 0.114, 0.522), loss of baby during pregnancy (AOR, 2.275; 95% CI: 1.022, 5.065), multiple sexual partner (AOR, 3.071; 95% CI: 1.220, 7.730), Cigarette smoking (AOR 7.628; 95% CI: 1.714,33.946), Human immune deficiency virus Positives (AOR, 41.145; 95% CI: 2.250, 752.362) were factors significantly associated with syphilis. Factors like having primary and secondary education and knowledgeable about sexually transmitted infections were less likely to have syphilis. However, having the history of multiple sexual partner, cigarette smoking, lose baby during pregnancy, HIV positive were more likely to associate with syphilis infection. These factors should be taken into consideration to prevent or curb the problems syphilis infection.
Abstract: The magnitude of syphilis infection among pregnant women is increasing worldwide. Syphilis infection during pregnancy is a risk of congenital syphilis for the fetus, might result in intrauterine death. The objective this study was to identify the predictors of syphilis infection among pregnant and delivering mother in Olenchity primary hospital fro...
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Estimation of Serum Trace Elements Levels in Libyan Patients with Psoriasis Vulgaris: A Case Control Study
Nadia Abdalhafid El Sherif,
Salwa Abdalsalam El-Dibany
Issue:
Volume 3, Issue 1, June 2020
Pages:
15-18
Received:
4 April 2020
Accepted:
22 April 2020
Published:
9 June 2020
DOI:
10.11648/j.ijcd.20200301.14
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Abstract: Background: Psoriasis is a chronic autoimmune skin disease with a worldwide prevalence of 2–3%. Psoriasis is caused by a complex interplay among the immune system, genetic background, auto-antigens, and environmental factors. Trace elements are required for the normal functioning of many enzymes and play a significant role in the development of many diseases. Objective: To assess the serum levels of zinc, copper, magnesium, iron and folate in patients with psoriasis compared to healthy controls. Patients and Methods: A total of 41 patients with psoriasis vulgaris were compared with 50 age and sex matched healthy subjects. Serum levels of zinc (Zn), copper (Cu), magnesium (Mg), iron (Fe) and folate were measured in both groups and compared. Psoriasis Area and Severity Index (PASI) were used to measure the severity of the disease. Results: The mean serum level of Zn was 142.2±52 in patients compared to 90.2±18.9 in the controls (P=.000), serum level of Cu was 161.1±58.5 in patients versus 156.3±42.8 in control group (P=.650). Serum Mg was 2.4±0.5 in patients and 1.9±0.2 in control subjects (P=.000). Serum Fe was 90.8±50 in patients as compared to 116.9±32.4 in control subjects (P=.004), whereas, serum folate was 6.6±3.9 in patients and 9.5±5.3 in control subjects (P=.005). There was no significant direct correlation between levels of trace elements under study and PASI scoring. Conclusions: Trace elements particularly Zn, Cu, and Mg appear to be elevated in psoriasis patients, while Fe and folate were low in psoriatic patients, however, they can't serve as biomarkers for disease activity.
Abstract: Background: Psoriasis is a chronic autoimmune skin disease with a worldwide prevalence of 2–3%. Psoriasis is caused by a complex interplay among the immune system, genetic background, auto-antigens, and environmental factors. Trace elements are required for the normal functioning of many enzymes and play a significant role in the development of man...
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