Distortion product otoacoustic emissions in newborn babies with and without late-term maternal iron deficiency anaemia

Background:Studies on animals have demonstrated that maternal iron deficiency anaemia(IDA)could result in decreased cochlear sensory hair cells and reduced amplitudes of distortion-product otoacoustic emissions(DPOAEs)of young guinea pigs.Thus,it is essential to study the functioning of cochlear hair cells using DPOAEs in human newborn babies with maternal IDA.The current study explores maternal IDA’s effect on DPOAEs in newborn babies.Method:A total of 110 newborn babies with gestational age≥34 weeks were considered and a‘betweensubjects’design was used.The participants were divided into 3 groups-“Normal”(61 babies without maternal IDA),“Mild”(28 babies with mild maternal IDA)and“Moderate”(21 babies with moderate maternal IDA).The cord blood was collected and the DPOAEs were recorded for each baby for a range of frequencies(1 k 8 kHz)and a range of intensities(7040 dB SPL in 10 dB steps).Results:The analysis of both DP-gram and DP input-output(I/O)function showed that there was no significant difference(p>0.05)across the normal,mild,and moderate groups in the overall presence of DPOAEs as well as the amplitude across frequencies or intensities(7040 dB SPL).Also,the overall correlation of RBC indices with DPOAE amplitude across frequencies as well as the slope of the I/O function showed no relationship.Conclusion:The current study concludes that there is no effect of late-term maternal IDA on the DPOAEs of newborn babies.

Haematopoietic Effects of Amloki (<i>Emblica officinalis</i>) in Pregnancy with Iron Deficiency Anaemia

Due to poverty and ignorance more than half of the pregnant women in developing country are suffering from iron deficiency anaemia (IDA). Different gastrointestinal side effects cause low compliance to iron supplementation. Amloki (Emblica officinalis) is very popular among pregnant women for its taste and traditional belief of well-being. The aim of this study is to determine the effects of amloki on RBC, WBC and Platelet count. Prospective comparative study was carried out on patients of Outpatient Department of Obstetrics and Gynecology, Dhaka Medical College Hospital from July 2016 to June 2017. A total of 43 pregnant women between the 13th to the 20th weeks of gestation with IDA were selected aged 18 - 36 years in this study. Anemic pregnant women supplemented with oral iron and amloki were considered as study group (A) and control group (B) were with only iron supplementation for 45 days. Total count of RBC, WBC and platelet were done in the Department of Hematology & BMT Unit, Dhaka Medical College Hospital, Dhaka. For statistical analysis, Paired Student’s “t” test and Unpaired Student’s “t” test were considered using SPSS 22.0 version. A significant increase (p < 0.05) of blood RBC count was observed after intervention of iron in both groups. There was also significant increase in RBC count in iron + amloki supplemented group than that of only iron supplemented group. In this study, there was also increase of WBC count in iron + amloki supplemented group and decrease of platelet count in both groups, but these changes were not statistically significant. It can be concluded that oral amloki supplementation causes increased blood RBC count in IDA with pregnancy.

Prevalence of Iron Deficiency Anaemia in School and College Going Students of District Shaheed Benazirabad Sindh Province, Pakistan

The present study aimed to estimate the occurrence of Iron Deficiency anemia (IDA) in school and college going students (aged 11 - 18 years). Anemia is the most public health problem in school age children. It has a wide range of adverse results involving, poor cognitive performance, poor development of infants, preschool and school-aged children. Anemia also causes the impairment of physical capacity, work performance of adolescents and adults, reduction in immune competence and increased morbidity from infections in all age groups. Our study based on 1686 volunteers was randomly selected from different Government High schools and colleges. A Questionnaire was utilized for data collection. BMI was also calculated by dividing weight in kg by the square of height in meters. Hemoglobin (Hb), Hematocrite (Hct), Mean Corpuscular volume (MCV), Mean Corpuscular hemoglobin concentration (MCHC), white blood cell (WBC) and red blood cell was examined using Sysmex kx-21N hemoglobin auto analyzer (Hedwin, 2008). The total percentage of anaemic students (43.1%) and non-anaemic (56.9%) were observed in district Shaheed Benazirabad. The mean Hb level of anaemic students (11.1 ± 4.94) was observed. In males (12.7%) and females (30.4%) anemic was observed. The prevalence of anemia high (16.2%) was observed in the age of 14 - 16 years. The majority of anemic patients (30.2%) belonged to low income group. Area wise prevalence, in rural areas 27.8% and urban areas 15.3% volunteers anaemic was observed. Taluka wise occurrence of anaemia in taluka Sakrand was (14.6%), in taluka Kazi Ahmed (15.0%), in taluka Daur (8.0%) and in taluka Nawabshah was (5.5%). Clinically signs and symptoms showed, pale skin 57.7% and weakness 42.3% were observed in school children.

Data Analytics on Unpredictable Pregnancy Data Records Using Ensemble Neuro-Fuzzy Techniques

The immune system goes through a profound transformation during pregnancy,and certain unexpected maternal complications have been correlated to this transition.The ability to correctly examine,diagnoses,and predict pregnancy-hastened diseases via the available big data is a delicate problem since the range of information continuously increases and is scalable.Many approaches for disease diagnosis/classification have been established with the use of data mining concepts.However,such methods do not provide an appropriate classification/diagnosis model.Furthermore,single learning approaches are used to create the bulk of these systems.Classification issues may be made more accurate by combining predictions from many different techniques.As a result,we used the Ensembling of Neuro-Fuzzy(E-NF)method to perform a high-level classification of medical diseases.E-NF is a layered computational model with self-learning and self-adaptive capabilities to deal with specific problems,such as the handling of imprecise and ambiguous data that may lead to uncertainty concerns that specifically emerge during the classification stage.Preprocessing data,Training phase,Ensemble phase,and Testing phase make up the complete procedure for the suggested task.Data preprocessing includes feature extraction and dimensionality reduction.Besides such processes,the training phase includes the fuzzification process of medical data.Moreover,training of input data was done using four types of NF techniques:Fuzzy Adaptive Learning Control Network(FALCON),Adaptive Network-based Fuzzy Inference System(ANFIS),Self Constructing Neural Fuzzy Inference Network(SONFIN)and/Evolving Fuzzy Neural Network(EFuNN).Later,in the ensemble phase,all the NF methods’predicted outcomes are integrated,and finally,the test results are evaluated in the testing phase.The outcomes indicate that the method could predict impaired glucose tolerance,preeclampsia,gestational hypertensive abnormalities,bacteriuria,and iron deficiency anaemia better than the others.In addition,the model exposed the capability to be utilized as an autonomous learning strategy,specifically in the early stages of pregnancy,examinations,and clinical guidelines for disease interventions.

Risk Factors of Malnutrition among Karen Children in Chiang Mai, Thailand

The objective of this study was to determine the risk factors of malnutrition and its association with iron deficiency anaemia (IDA) among Karen hill tribe children. We conducted a study on blood samples from children from Baan Yang Poa School, Chiang Mai, Thailand aged between 9 and 15 years old. Of 193 children, 31 (16.1%) had malnutrition and 12 (6.2%) had IDA. Children who had at least five family members were found to have a significantly higher risk of malnutrition (P = 0.005), a reflection of the importance of socioeconomic factors in the problem of malnutrition. We also found that malnutrition was not associated with IDA although the assessment of the association of malnutrition and other types of anaemia is still of interest.