42 research outputs found
The impact of surgical closure of atrial septal defect on the pulmonary hypertension: a prospective observational study
Introduction: The most prevalent congenital disease is atrial septal defect. Atrial septal defects that have a left to right shunt result in persistent volume overload in the pulmonary vasculature. So histological changes occur in pulmonary vasculature leads to pulmonary hypertension. Without surgery, both life expectancy and functional ability are reduced. The aim of this study was to observe the impact of surgical closure of atrial septal defect on pulmonary hypertension.
Methods: This observational study was done in the department of cardiac surgery, Bangabandhu Sheikh Mujib Medical University from June 2020 to June 2022. Sample size was 24 Patients were evaluated preoperatively, postoperative day of operation through a clinically, ECG, color doppler echocardiography. The statistical analysis was performed by using SPSS version 26.0 for windows software.
Results: In my study, the mean age of the patients was 33.33±11.3 years, male female ratio was 1:2. The mean pulmonary artery systolic pressure got decreased from 57.54±7.9 mmHg to 53.29±8.30 mmHg on postoperative day. 75% patients improved into New York heart association class 2 on post operative day. Significant improvement was seen in functional capacity of the patients. 29.2% patients had atrial fibrilation preoperatively, after surgery on post-operative day it became 25%.
Conclusions: This study concludes that surgical closure of atrial septal defect leads to a significant reduction in pulmonary hypertension
Construction of copy number variation landscape and characterization of associated genes in a Bangladeshi cohort of neurodevelopmental disorders
Introduction: Copy number variations (CNVs) play a critical role in the pathogenesis of neurodevelopmental disorders (NDD) among children. In this study, we aim to identify clinically relevant CNVs, genes and their phenotypic characteristics in an ethnically underrepresented homogenous population of Bangladesh. Methods: We have conducted chromosomal microarray analysis (CMA) for 212 NDD patients with male to female ratio of 2.2:1.0 to identify rare CNVs. To identify candidate genes within the rare CNVs, gene constraint metrics [i.e., “Critical-Exon Genes (CEGs)”] were applied to the population data. Autism Diagnostic Observation Schedule-Second Edition (ADOS-2) was followed in a subset of 95 NDD patients to assess the severity of autism and all statistical tests were performed using the R package. Results: Of all the samples assayed, 12.26% (26/212) and 57.08% (121/212) patients carried pathogenic and variant of uncertain significance (VOUS) CNVs, respectively. While 2.83% (6/212) patients’ pathogenic CNVs were found to be located in the subtelomeric regions. Further burden test identified females are significant carriers of pathogenic CNVs compared to males (OR = 4.2; p = 0.0007). We have observed an increased number of Loss of heterozygosity (LOH) within cases with 23.85% (26/109) consanguineous parents. Our analyses on imprinting genes show, 36 LOH variants disrupting 69 unique imprinted genes and classified these variants as VOUS. ADOS-2 subset shows severe social communication deficit (p = 0.014) and overall ASD symptoms severity (p = 0.026) among the patients carrying duplication CNV compared to the CNV negative group. Candidate gene analysis identified 153 unique CEGs in pathogenic CNVs and 31 in VOUS. Of the unique genes, 18 genes were found to be in smaller (<1 MB) focal CNVs in our NDD cohort and we identified PSMC3 gene as a strong candidate gene for Autism Spectrum Disorder (ASD). Moreover, we hypothesized that KMT2B gene duplication might be associated with intellectual disability. Conclusion: Our results show the utility of CMA for precise genetic diagnosis and its integration into the diagnosis, therapy and management of NDD patients
Sub-THz wireless system with electronic and optoelectronic transmitters
The rising traffic demand in mobile networks is pushing the capacity need, especially in the access network. Wireless access integrated with the operator optical fiber network offers mobility and easiness of deployment. The challenge is the provision of wireless broadband capacity paired with the increasing traffic demands. The paper describes a point-to-multipoint fronthaul distribution wireless network at D-band (141-148.5 GHz) fed with point-to-point backhaul transport links at G-band (275-305 GHz), providing tens of Gb/s data rate. The system is under development in the frame of the European Commission Horizon 2020 ULTRAWAVE "Ultra capacity wireless layer beyond 100 GHz based on millimeter wave". The D-band transmission hubs are connected to the optical core network through Gb/s class G-band links, based on a microwave photonic transmitter employing uni-traveling-carrier photodiodes (UTC-PD). A field test in real environment is planned to demonstrate the ULTRAWAVE system breakthrough
A voting approach to identify a small number of highly predictive genes using multiple classifiers
<p>Abstract</p> <p>Background</p> <p>Microarray gene expression profiling has provided extensive datasets that can describe characteristics of cancer patients. An important challenge for this type of data is the discovery of gene sets which can be used as the basis of developing a clinical predictor for cancer. It is desirable that such gene sets be compact, give accurate predictions across many classifiers, be biologically relevant and have good biological process coverage.</p> <p>Results</p> <p>By using a new type of multiple classifier voting approach, we have identified gene sets that can predict breast cancer prognosis accurately, for a range of classification algorithms. Unlike a wrapper approach, our method is not specialised towards a single classification technique. Experimental analysis demonstrates higher prediction accuracies for our sets of genes compared to previous work in the area. Moreover, our sets of genes are generally more compact than those previously proposed. Taking a biological viewpoint, from the literature, most of the genes in our sets are known to be strongly related to cancer.</p> <p>Conclusion</p> <p>We show that it is possible to obtain superior classification accuracy with our approach and obtain a compact gene set that is also biologically relevant and has good coverage of different biological processes.</p
Use of aqua-chemicals in the hatcheries and fish farms of greater Noakhali, Bangladesh
This study was carried out in greater Noakhali region (Lakshmipur, Noakhali and Feni) to evaluate the type of aqua-chemicals used in aquaculture activities where data were collected through questionnaire interview, Focus Group Discussion (FCD), personal contact with fish farmers, hatchery and nursery owner, farm workers. A variety of aqua drugs and chemicals including antibiotics have been using in the region by farmers for fish health management and increasing production. Aqua-chemicals were commonly used for pond preparation, disease control and treatment of the carps, tilapia, prawns and weed fishes. Carps show very positive results when they were treated against the diseases, Motile Aeromonas Septicaemia (MAS), Epizootic Ulcerative Syndrome (EUS), Saprolegniasis, Argulosis, Fin rot, Dropsy, Ichthyophthiriasis with oxytetracycline, potassium permanganate, sumithione, malachite green, dipterex, pillar sulfan, secofon, timsen, geolite and lime. The study also identified the problems associated with the use of chemicals which included lack of knowledge regarding the use of chemicals, appropriate dose, method of application and indiscriminate use of chemicals