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Hepatitis Deb Evaluate: Problems for the Resource-Poor Setting.
Background. Globally, anemia is a widespread public health problem associated with increased risk of morbidity and mortality. Under 5 children have greater risk of anemia. The level of burden and the risk factors for anemia vary in different settings. Identifying local factors will have important implications for health intervention programs aimed to tackle the burden. Our study aims to investigate the determinants of anemia among under 5 children in the study area. Methods. Facility based unmatched case control study was conducted among 413 (137 cases and 276 controls) children of Dilla town. Cases were children who had hemoglobin level of less than 11 g/dl and controls were children aged 6 to 59 months with hemoglobin ≥11 g/dl. Quota and simple random sampling was used for cases and controls respectively. Data on socio-demographic, dietary diversity score, food security, anthropometry, hemoglobin level, malaria infection and intestinal parasites were collected. Erastin Data were analyzed with SPSS version 25. Bi-variate and multivariate binary logistic regression analysis was used to identify independent determinants of anemia. P-value less than .05 were used to declare statistical significance. Result. In the multivariate analysis, having more than 1 under 5 children in the households (AOR = 3.03, 95%CI = 1.35-6.81), intestinal parasitosis (AOR = 4.42, 95%CI = 2.07-9.44), food insecurity (AOR = 2.75, 95% CI = 1.39-5.45), and stunting (AOR = 6.09, 95% CI = 2.53-14.67) were determinants of anemia among children aged 6 to 59 months. Conclusion. Some of the identified factors are modifiable that could be targeted to reduce childhood anemia. Family planning education, provision of anti-helminthic drugs and ensuring household food security will be beneficial to tackle anemia.
Analyzing dengue disease patterns from different parts of the world should help us formulate more evidence based treatment guidelines and appropriately allocate limited healthcare resources. Therefore, we described the disease characteristics of hospitalised pediatric patients with dengue infections from Sri Lanka during the 2017 dengue epidemic.

Clinical and biochemical characteristics of pediatric dengue patients treated at a secondary care hospital in Sri Lanka from 1 June 2017 to 31 August 2017 were analyzed. Our findings were compared with previous pediatric dengue studies in Asia.

patients (number of males = 184(60%); mean age = 8.6 years) were analyzed. DF (Dengue Fever)-245 (80.3%), DHF (Dengue Hemorrhagic fever)-I52 (17%), DHF-II7 (2.3%), and DHF-III1 (0.3%). Significant associations were found between DHF and abdominal symptoms/signs and overt bleeding manifestations (
 < .001). Time of onset of the critical phase was variable (Day 3 12%, Day 4-5 78%, Day 6 5%, and Day 7 5%). Platelet and white-cell counts (WBC) were significantly lower in DHF than DF; liver enzyme derangement was mild and was similar in the DHF and DF subgroups. None had cardiac, renal, or neurological manifestations and all recovered uneventfully.

In Sri Lankan pediatric dengue patients, we found abdominal symptoms and signs, decreased WBC and platelet counts and bleeding manifestations were to be significantly associated with DHF. Liver enzyme derangement did not predict DHF. The time of onset of the critical phase was difficult to predict due to the considerable variations noted.
In Sri Lankan pediatric dengue patients, we found abdominal symptoms and signs, decreased WBC and platelet counts and bleeding manifestations were to be significantly associated with DHF. Liver enzyme derangement did not predict DHF. The time of onset of the critical phase was difficult to predict due to the considerable variations noted.Preterm births have a high risk of mortality. Therefore, knowledge of the gestational age (GA) at birth is crucial to guide the appropriate management of a newborn. Common methods for estimating GA such as the last menstrual period, ultrasonography, and post-natal Ballard scoring have some limitations. This study aimed to determine the relationship between foot length and GA to develop and validate an equation for predicting GA of Pakistani newborns. We conducted a prospective study in a large obstetric hospital in Pakistan. Data for this analysis were extracted from the hospital files of eligible women by trained study midwives. Midwives were also trained in performing the Ballard examination and taking foot length using a disposable measuring tape within an hour of the birth. The GA was calculated using an android-based GA calculator. Simple and multiple linear regression were used to construct predicting equations for GA. Both the foot length and GA were available for 1542 cases. The median GA was 34.5 (IQR 4.7) weeks and the median foot length was 7 cm (IQR 1.4). There was a positive linear relationship between foot length and GA (r2 81.7%, P-value  less then  .001). Stratified analysis showed an r2 of 81.7% for males and 81.6% for females. The r2 for stillbirths was 84.1% and, 82.3% for live births. The r2 for macerated stillbirths was 88.6% and 90.6% for fresh stillbirths. In resource poor settings, the use of foot length can estimate GA in both live births and stillbirths and can easily identify preterm infants.Background. Patterns of fetal growth are largely influenced by environmental, nutritional, and socioeconomic factors more than differences in populations. The aim of this study was to assess anthropometric measurements of Ethiopian preterm infants at birth and compare the results with the international INTERGROWTH-21st data. Patients and methods. We analyzed anthropometric data on live-born singleton preterm infants enrolled in a hospital-based multicenter study of illness in preterm infants (SIP). Eligible newborns with gestational age of 28-36 weeks were included. Gestational age (GA) and sex-specific mean and standard deviations (SD), 10th, 50th, 90th, centile values for birth weight, length and head circumference (HC) were calculated and compared with INTERGROWTH-21st data. Result. A total of 2763 preterm infants were included in the study, 54% were male. The prevalence of small for GA (SGA) (90th percentile) were 10.8% and 9.9%, respectively. In all 3 parameters, the mean values of boys were higher than of girls.
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