Change of lipid profile in children with acute lymphoblastic leukemia due to induction chemotherapy in a tertiary care hospital of Bangladesh

Background: Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy. In the Department of Paediatric Haematology and Oncology of Bangabandhu Sheikh Mujib Medical University (BSMMU), 58% of ALL cases were recorded among 455 newly diagnosed malignancy patients in a single year. Studies found that remarkable hypertriglyceridemia occurs with L-asparaginase therapy and steroid. This study was done to evaluate the changes of serum total cholesterol, triglycerides (TG), high density lipoprotein (HDL), and low-density lipoprotein (LDL) during and after induction chemotherapy in children with ALL. Methods: This prospective observational study was performed in the Department of Pediatric Hematology and Oncology of BSMMU from March-November 2013. Newly diagnosed acute lymphoblastic leukemia patients aged 3-15 years were included in this study after having written consent from the parents of the participants to participate in the study and enrolled for the treatment of ALL (according to modified UKALL 2003 protocol). Results: Total cholesterol, TG, HDL, and LDL changed significantly due to induction therapy. Serum total cholesterol and LDL decreased after completion of L-asparaginse in comparison to before induction, increased significantly after completion of induction in comparison to after completion of L-asparaginase (P=0.001), and increased significantly after induction in relation to before induction therapy (P=0.003). TG decreased significantly (P=0.033) after completion of L-asparaginase than before induction but increased after completion of induction. HDL increased after completion of L-asparaginase and after induction significantly (P=0.001). LDL decreased after completion of L asparaginase which was significant (P=0.005). Conclusion: After induction chemotherapy, total cholesterol, HDL and LDL level increased and TG level decreased among ALL patients. Bangabandhu Sheikh Mujib Medical University Journal 2023;16(1): 35-40

Change of lipid profile in children with acute lymphoblastic leukemia due to induction chemotherapy in a tertiary care hospital of Bangladesh

Background: Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy. In the Department of Paediatric Haematology and Oncology of Bangabandhu Sheikh Mujib Medical University (BSMMU), 58% of ALL cases were recorded among 455 newly diagnosed malignancy patients in a single year. Studies found that remarkable hypertriglyceridemia occurs with L-asparaginase therapy and steroid. This study was done to evaluate the changes of serum total cholesterol, triglycerides (TG), high density lipoprotein (HDL), and low-density lipoprotein (LDL) during and after induction chemotherapy in children with ALL. Methods: This prospective observational study was performed in the Department of Pediatric Hematology and Oncology of BSMMU from March-November 2013. Newly diagnosed acute lymphoblastic leukemia patients aged 3-15 years were included in this study after having written consent from the parents of the participants to participate in the study and enrolled for the treatment of ALL (according to modified UKALL 2003 protocol). Results: Total cholesterol, TG, HDL, and LDL changed significantly due to induction therapy. Serum total cholesterol and LDL decreased after completion of L-asparaginse in comparison to before induction, increased significantly after completion of induction in comparison to after completion of L-asparaginase (P=0.001), and increased significantly after induction in relation to before induction therapy (P=0.003). TG decreased significantly (P=0.033) after completion of L-asparaginase than before induction but increased after completion of induction. HDL increased after completion of L-asparaginase and after induction significantly (P=0.001). LDL decreased after completion of L asparaginase which was significant (P=0.005). Conclusion: After induction chemotherapy, total cholesterol, HDL and LDL level increased and TG level decreased among ALL patients. Bangabandhu Sheikh Mujib Medical University Journal 2023;16(1): 35-40

Assessment of natural regeneration status: the case of Durgapur hill forest, Netrokona, Bangladesh

Enumeration of regeneration status is an authentic tool to know the actual condition of forest ecosystem. The study was conducted to assess the regeneration status of Durgapur hill forest following stratified random sampling method (2 m × 2 m quadrate) from October 2017 to May 2018. A total of 27 species under 18 families were recorded from the study area. The study revealed maximum (37.78) family importance value (FIV) index was recorded for Euphorbiaceae followed by Moraceae (16.09). Importance value index (IVI) of Grewia nervosa was maximum (23.97 out of 300) followed by Shorea robusta (21.02), and Aporosa wallichii (20.19). Conservation status showed highest (77.78%) plant species were in least concerned (LC) where only one species (Dillenia pentagyna) was found as data deficient (DD) category. Seedlings of different height classes showed maximum (33.2%) seedling were within the height range of 50–<100 cm. However, different biological diversity indices, i.e., Shannon–Winner index (H) (4.27), species evenness index (E) (1.30), Simpson index (D) (0.15), and Margalef’s species richness index (4.24) were enumerated to know the complete diversity condition of the forest area. Hierarchical cluster of the recorded species also showed that Grewia nervosa is the most dominant species in that area

DTCTH: a discriminative local pattern descriptor for image classification

Abstract Despite lots of effort being exerted in designing feature descriptors, it is still challenging to find generalized feature descriptors, with acceptable discrimination ability, which are able to capture prominent features in various image processing applications. To address this issue, we propose a computationally feasible discriminative ternary census transform histogram (DTCTH) for image representation which uses dynamic thresholds to perceive the key properties of a feature descriptor. The code produced by DTCTH is more stable against intensity fluctuation, and it mainly captures the discriminative structural properties of an image by suppressing unnecessary background information. Thus, DTCTH becomes more generalized to be used in different applications with reasonable accuracies. To validate the generalizability of DTCTH, we have conducted rigorous experiments on five different applications considering nine benchmark datasets. The experimental results demonstrate that DTCTH performs as high as 28.08% better than the existing state-of-the-art feature descriptors such as GIST, SIFT, HOG, LBP, CLBP, OC-LBP, LGP, LTP, LAID, and CENTRIST

Effectiveness of selected planned adaptations : expectation and reality

Ministry of Foreign Affairs of the Netherland