Chambersroth2003
To the best of our knowledge, this is the first documented report of GT in our environment where consanguinity is rarely practised. Our health facilities require adequate diagnostic and treatment facilities for rare diseases like GT.
To the best of our knowledge, this is the first documented report of GT in our environment where consanguinity is rarely practised. Our health facilities require adequate diagnostic and treatment facilities for rare diseases like GT.
Congenital heart disease (CHD) is the most common congenital anomaly in children. Over half of the deaths due to CHD occur in the neonatal period. Most children with unrepaired complex heart lesions do not live to celebrate their first birthday. We describe the spectrum of congenital heart disease in Uganda.
We retrospectively reviewed the data of children with CHD who presented to the Uganda Heart Institute (UHI), Mulago Hospital Complex from 2007 to 2014.
A total of 4621 children were seen at the UHI during the study period. Of these, 3526 (76.3%) had CHD; 1941(55%) were females. Isolated ventricular septal defect (VSD) was the most common CHD seen in 923 (27.2%) children followed by Patent ductus arteriosus (PDA) 760 (22%) and atrial septal defects (ASD) 332 (9.4%). Tetralogy of Fallot (TOF) and Truncus arteriosus were the most common cyanotic heart defects (7% and 5% respectively). Dysmorphic features were diagnosed in 185 children, of which 61 underwent genetic testing (Down syndrome=24, 22q11.2 deletion syndrome n=10). Children with confirmed 22q11.2 deletion had conotruncal abnormalities.
Isolated VSD and Tetralogy of Fallot are the most common acyanotic and cyanotic congenital heart defects. We report an unusually high occurrence of Truncus arteriosus.
Isolated VSD and Tetralogy of Fallot are the most common acyanotic and cyanotic congenital heart defects. We report an unusually high occurrence of Truncus arteriosus.
Coronary Heart Disease (CHD) is a major cause of morbidity and mortality over the world; intermediate traits associated with CHD commonly studied can be influenced by a combination of genetic and environmental factors.
We found previously significant association between three genetic polymorphisms, and the lipid profile variations in the Algerian population. check details Considering these findings, we therefore decided to assess the relationships between these polymorphisms and CHD risk.
We performed a population-based, cross-sectional study, of 787 individuals recruited in the city of Oran, in which, a nested case-control study for MetS, T2D, HBP, obesity and CHD were performed. Subjects were genotyped for four SNP rs7412, rs429358 rs4420638 and rs439401 located in the 19q13.32 region.
The T allele of rs439401 confers a high risk of hypertension with an odds ratio (OR) of 1.46 (95% CI [1.12-1.9], p = 0.006) and the G allele of rs4420638 was significantly associated with a decreased risk of obesity, OR 0.48 (95% CI [0.29-0.81], p = 0.004). No associations were found for MetS, T2D and CHD.
Although the studied genetic variants were not associated with the risk of CHD, the 19q13.32 locus was associated with some of the cardiometabolic disorders in Algerian subjects.
Although the studied genetic variants were not associated with the risk of CHD, the 19q13.32 locus was associated with some of the cardiometabolic disorders in Algerian subjects.
Lack of knowledge, and poor attitudes and practices among rural women have been shown to negatively influence maternal, infant and young child nutrition outcomes as well as child health and cognitive development.
The aim of the study was to assess the impact of community-based nutrition on infant nutrition.
A mixed method approach using a structured questionnaire to collect quantitative data (n=234) and Focus Group Discussions (FGDs) for qualitative data was used in Narok County, Kenya.
About 57% of the participants received nutrition and health information from hospital trained health personnel. Whereas most women indicated having attended antenatal clinics, very few delivered in the hospital (17%). Exclusive breastfeeding knowledge was below 50%, although not statistically significant (p=0.584) across the education spectrum as opposed to identification of malnutrition signs, which was significant (p<0.05). Whereas 74% of the participants had knowledge about signs of malnutrition, only 58% could identify the causes. Rating for complementary feeding among the study participants was about 61% for introduction of complementary foods and 80% for frequency of feeding. Vitamin A supplementation knowledge, antenatal clinic attendance and type of waste disposal were statistically significant (p<0.05) in relation to education level of the study participants.
This study reveals the need to educate rural women for increased understanding and practice of appropriate infant and nutrition care through sustainable and effective essential nutrition actions.
This study reveals the need to educate rural women for increased understanding and practice of appropriate infant and nutrition care through sustainable and effective essential nutrition actions.
The first 28 days of life, the neonatal period, are the most vulnerable time for a child's survival. Neonatal mortality accounts for about 38% of under-five deaths in low and middle income countries. This study aimed to identify the determinants of neonatal mortality in Ethiopia.
The study used data from the nationally representative 2016 Ethiopia Demographic and Health Survey (EDHS). Once the data were extracted; editing, coding and cleaning were done by using SAS 9.4.Sampling weights was applied to ensure the representativeness of the sample in this study. Both bivariate and multivariable logistic regression statistical analysis was used to identify determinants of neonatal mortality in Ethiopia.
A total of 11,023 weighted live-born neonates born within five years preceding the 2016 EDHS were included this in this study. Multiple logistic regression analysis showed that multiple birth neonates (Adjusted Odds Ratio (AOR)=6.38;95%-Confidence Interval (CI)4.42-9.21), large birth size (AOR=1.35; 95% CI 0.