Iron-deficiency Anemia Treatment with Ferric Carboxymaltose: A Real-world Quasi-experimental Study from Bangladesh.

Gastrointestinal bleeding is the most common cause of iron deficiency in adult men and menstrual blood loss is the leading cause of iron insufficiency in women, anemia due to iron deficiency is mostly caused by blood loss. Ferric carboxymaltose (FCM) is a contemporary parenteral iron formulation that may be used therapeutically to treat anemia caused by an iron deficiency [iron-deficiency anemia (IDA)]. The main goal of the trial was to evaluate FCM's safety and efficacy in treating IDA. The Department of Hematology, Rajshahi Medical College Hospital, Rajshahi, Bangladesh participated in this quasi-experimental research, which comprised adult patients with IDA. Participants were given an intravenous (IV) infusion of 500 mg of FCM, diluted in 100 mL of 0.9% normal saline, throughout a 30-minute period after their participation. The second dosage of FCM was administered after a 7-day period of the first dose. The comparison of the outcomes [hemoglobin (Hb) level, serum ferritin level, and other hematological parameters] between the baseline and day 14 postintervention was done using a paired t-test. Compared to baseline, patients' Hb levels rose considerably (p = 0.001) after FCM. Aside from serum ferritin level, additional hematological parameters that sharply increased were red blood cells (RBCs) count, mean corpuscular volume (MCV), mean corpuscular hemoglobin concentration (MCHC), red cell distribution width - coefficient of variation (RDW-CV), and iron indicators. The experiment recorded mild adverse effects such as fever, headaches, and gastrointestinal issues including vomiting, diarrhea, and constipation, but no significant adverse events. In summary, IDA may be effectively treated with FCM, a safe and secure IV medication that has no major negative effects. How to cite this article: Miah MMZ, Pramanik MEA, Rafi A, et al. Iron-deficiency Anemia Treatment with Ferric Carboxymaltose: A Real-world Quasi-experimental Study from Bangladesh. Euroasian J Hepato-Gastroenterol 2024;14(1):12-15.

The Versatile and Strategic O-Carbamate Directed Metalation Group in the Synthesis of Aromatic Molecules: An Update.

The aryl O-carbamate (ArOAm) group is among the strongest of the directed metalation groups (DMGs) in directed ortho metalation (DoM) chemistry, especially in the form Ar-OCONEt2. Since the last comprehensive review of metalation chemistry involving ArOAms (published more than 30 years ago), the field has expanded significantly. For example, it now encompasses new substrates, solvent systems, and metalating agents, while conditions have been developed enabling metalation of ArOAm to be conducted in a green and sustainable manner. The ArOAm group has also proven to be effective in the anionic ortho-Fries (AoF) rearrangement, Directed remote metalation (DreM), iterative DoM sequences, and DoM-halogen dance (HalD) synthetic strategies and has been transformed into a diverse range of functionalities and coupled with various groups through a range of cross-coupling (CC) strategies. Of ultimate value, the ArOAm group has demonstrated utility in the synthesis of a diverse range of bioactive and polycyclic aromatic compounds for various applications.

Evaluation of Determinants to Achieve Target Urea Reduction Ratio on Maintenance Hemodialysis Patients in Bangladesh.

Among patients with chronic kidney disease stage-5 who are treated with dialysis, the urea clearance during hemodialysis is a determinant of the mortality. Decreased serum albumin, serum calcium but increased phosphorus is associated with reduction of URR and mortality in these patients. This study was to compare two groups Urea Reduction Ratio (URR) and different type of biochemical parameters. URR was aimed to target according to Kidney Disease Outcomes Quality Initiative (KDOQI) guideline. This study was an observational study was carried out in the department of Nephrology. Serum Albumin, serum calcium, phosphate, hemoglobin and pre dialysis urea, post dialysis urea were measured from blood sample. URR was calculated by = (1- postdialysis urea/predialysis urea) × 100. Among the patients who under went hemodialysis, 17.31% patients URR was more than 65.0% and Mean±SD of URR was 67.21±1.9%. On the other hand, 82.68% patients URR was less than 65.0% and Mean±SD of URR was 57.4±5.2%. Most of the Biochemical parameters in this study were significantly different between two groups. Where as, there was no significant difference in Age, Sex, Body Mass Index (BMI). The URR is an accurate indicator, can help determination of adequate dialysis. This study aimed to find out the mean value of the urea reduction ratio and the association of biochemical parameters among End Stage Renal Disease (ESRD) patients on maintenance hemodialysis.

Risk Factors of Patients with Postpartum Acute Kidney Injury: An Observational Study.

Postpartum acute kidney injury (AKI) is a condition characterized by a sudden and rapid decline in kidney function that occurs shortly after childbirth. Several risk factors may be associated with postpartum acute kidney injury (AKI). Understanding the possible risk factors is essential for timely intervention and improved maternal healthcare. The aim of the study was to assess the risk factors of postpartum acute kidney injury patients. This prospective observational study took place at Mymensingh Medical College Hospital, from March 2020 to April 2021. It was carried out in the Departments of Nephrology and Departments of Obstetrics & Gynecology, where 153 postpartum acute kidney injury (AKI) patients were enrolled through purposive sampling. The study collected data on patient demographics, etiology and presentation. Statistical analysis was conducted using SPSS (Statistical Package for the Social Sciences) version 26.0, with a significance threshold set at p<0.05 for all tests. Among participants, puerperal sepsis (77.8%) and toxemia of pregnancy (58.8%) were prevalent risk factors. Intrauterine death was rare (1.3%). Other risk factors such as postpartum hemorrhage 22.2%, HELLP syndrome 11.1%, and antepartum hemorrhage 15.0% were found. A statistically significant difference in postpartum hemorrhage prevalence (p=0.038) was noted between hemodialysis and non-hemodialysis patients. Puerperal sepsis is the most common risk factor for postpartum acute kidney injury, closely followed by toxemia of pregnancy. Intrauterine death is rare, while postpartum hemorrhage significantly affects subjects, with variations noted between hemodialysis and non-hemodialysis patients.

Serum Uric Acid and Serum Lipid Levels in Patients with Acute Ischemic Stroke Admitted in Mymensingh Medical College Hospital.

Stroke is the second-leading cause of death and also a leading cause of combined death and disability. In Bangladesh, stroke prevalence is 11.39 per 1000 population, but highest prevalence of stroke is 14.71 per 1000 population in the Mymensingh division. Hyperuricemia has been reported as an independent risk factor for stroke in different studies and a significant association between serum uric acid and dyslipidemia has also been stated. On the contrary, some studies suggest that uric acid has a neuroprotective role. This cross-sectional study was completed in the Medicine Department of Mymensingh Medical College Hospital, Mymensingh, Bangladesh from March 2021 to January 2023. In this cross-sectional study, 352 adult acute ischemic stroke patients were included from the Medicine Department of Mymensingh Medical College Hospital. Serum uric acid and fasting serum lipid levels were measured within 48 hours of admission. The mean age ±SD of the respondents was 61.9±12.8 years. Hyperuricemia was found among 18.2% of respondents, whose mean ±SD serum uric acid was 5.7±1.9 mg/dl. Dyslipidemia was present in 88.4% of patients. The mean ±SD of the National Institutes of Health Stroke Scale (NIHSS) score was 12.0±5.9. Most of the patients (65.6%) were suffering from moderate stroke, followed by moderate to severe stroke (15.1%), severe stroke (10.8%) and minor stroke (8.5%). After multiple linear regressions, the independent variables age, gender, serum uric acid and total cholesterol were found to be significant predictors of the NIHSS score of the respondents. In conclusion, the majority of acute ischemic stroke patients have an association with dyslipidemia, but only around one-fifth of patients have hyperuricemia. There is a significant association of high serum uric acid and high serum total cholesterol with stroke severity (NIHSS score). But low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and, triglycerides have no association with stroke severity.

Assessment of Dialysis Adequacy Using Small Solute Clearance Indices among Twice versus Thrice Weekly Maintenance Hemodialysis Patients in a Tertiary Care Hospital of Bangladesh.

This observational study was carried out in the Department of Nephrology, Mymensingh Medical College Hospital, Bangladesh from January 2020 to December 2020. A total of 179 patients were included in this study according to inclusion and exclusion criteria. Informed written consent was taken from each patient. All patients were underwent detail history taking, thorough physical examination and relevant investigations. Data collection was conducted through a structured questionnaire. Collected data were analyzed using the statistical software SPSS 23.0. Mean age ±SD of the study patients was 47.06±14.1 with a majority in age group 41-50 years. Male predominance was observed with a male: female ratio of 2.19:1 and 68.7% male patients. Level of pre-dialysis, post-dialysis urea in the study population was 123.77±26.86mg/dl, 50.27±15.70mg/dl respectively and mean ±SD of Urea Reduction Ratio (URR) in hemodialysis (target >65.0%) was 67.2±1.9. Most of the 8 hours (two times) per week hemolysis patients could not achieve the target value of dialysis adequacy parameters. On the other hand, maximum people in 12 hours (three times) per week hemodialysis group achieved the target value of dialysis adequacy parameters. It is important to calculate Kt/V or URR and individualize the dialysis doses for each patient.

An automated materials and processes identification tool for material informatics using deep learning approach.

This article reports a tool that enables Materials Informatics, termed as MatRec, via a deep learning approach. The tool captures data, makes appropriate domain suggestions, extracts various entities such as materials and processes, and helps to establish entity-value relationships. This tool uses keyword extraction, a document similarity index to suggest relevant documents, and a deep learning approach employing Bi-LSTM for entity extraction. For example, materials and processes for electrical charge storage under an electric double layer capacitor (EDLC) mechanism are demonstrated herewith. A knowledge graph approach finds and visualizes different latent knowledge sets from the processed information. The MatRec received an F1 score of 9̃6% for entity extraction, 8̃3% for material-value relationship extraction, and 8̃7% for process-value relationship extraction, respectively. The proposed MatRec could be extended to solve material selection issues for various applications and could be an excellent tool for academia and industry.

A new implementation of a novel analytical method for finding the analytical solutions of the (2+1)-dimensional KP-BBM equation.

In this work, we perform a comprehensive analytical study to find the novel exact traveling wave solutions of the ( 2 + 1 ) -dimensional Kadomtsev-Petviashvili-Benjamin-Bona-Mahony (KP-BBM) equation. The recently developed ( G ' G ' + G + A ) -expansion technique is a capable method for finding the new exact solutions of assorted nonlinear evolution equations. Some new analytical solutions are obtained by utilizing the aforementioned method. The obtained solutions are expressed as trigonometric functions and exponential functions. The extracted exact wave solutions are advanced and fully unique from the earlier literature Moreover, we have presented the contour simulations, 2D and 3D graphical representations of the solution functions and we have observed that the solutions obtained are periodic and solitary wave solutions. We have shown two soliton wave solutions and two singular periodic wave solutions for the particular values of the parameters graphically. As per our knowledge, we must say that the extracted solutions might be significant and essential for new physical phenomenon.

A secondary function of trehalose-6-phosphate synthase is required for resistance to oxidative and desiccation stress in Fusarium verticillioides.

The disaccharide trehalose has long been recognized for its role as a stress solute, but in recent years some of the protective effects previously ascribed to trehalose have been suggested to arise from a function of the trehalose biosynthesis enzyme trehalose-6-phosphate (T6P) synthase that is distinct from its catalytic activity. In this study, we use the maize pathogenic fungus Fusarium verticillioides as a model to explore the relative contributions of trehalose itself and a putative secondary function of T6P synthase in protection against stress as well as to understand why, as shown in a previous study, deletion of the TPS1 gene coding for T6P synthase reduces pathogenicity against maize. We report that a TPS1-deletion mutant of F. verticillioides is compromised in its ability to withstand exposure to oxidative stress meant to simulate the oxidative burst phase of maize defense and experiences more ROS-induced lipid damage than the wild-type strain. Eliminating T6P synthase expression also reduces resistance to desiccation, but not resistance to phenolic acids. Expression of catalytically-inactive T6P synthase in the TPS1-deletion mutant leads to a partial rescue of the oxidative and desiccation stress-sensitive phenotypes, suggesting the importance of a T6P synthase function that is independent of its role in trehalose synthesis.

Fertilizer use gaps of women-headed households under diverse rice-based cropping patterns: Survey-based evidence from the Eastern Gangetic Plain, South Asia.

Women-headed households (WHHs) have limited access to agricultural inputs and extension services relative to male-headed households (MHHs) which may lead to yield gaps, poorer livelihoods and greater food insecurity. Since lower fertilizer use by WHHs will restrict crop yield, we examined how limited access to fertilizer inputs and extension services was reflected in nutrient use gaps relative to Government recommendations. A total of 80 WHHs were randomly selected for interview from four Agro-ecological Zones (AEZs) covering five representative districts of Bangladesh to assess, for the first time, nutrient use gaps of WHHs under five rice-based cropping patterns. Data collected from 576 MHHs (reported elsewhere) was also utilized to examine nutrient use gaps, crop yields and farm income between MHHs and WHHs. The nutrient use rates were compared with the government Fertilizer Recommendation Guides (FRG): FRG-2012 and FRG-2018. The WHHs underuse N, P, K, S and Zn under fully rice-based cropping patterns, while MHHs overuse those nutrients, but WHH tend to overuse N, P, and K for patterns with potato and watermelon crops. WHHs seem to prioritize high-value crops for fertilizer use, but even yield was 14%, 11%, 17% and 15% lower for irrigated rice, maize, potato and watermelon, respectively compared to smallholder MHHs under diverse rice-based cropping patterns. Overall, WHHs had 10% and 14% lower farm incomes than MHHs under fully rice-based and high-value cropping patterns, respectively. Financial losses for both WHHs and the government due to overuse of NPK on high-value potato crops were estimated at around 63 and 115 USD ha-1, respectively. However, the socio-demographic information suggested that effective extension services targeted to WHH, easing of social restrictions on their mobility, access of WHHs to fertilizers at Govt. fixed price and improved financial capability through better credit access could bring WHHs towards balanced fertilizer use practices in the EGP.

ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy.

Human detection is an important task in computer vision. It is one of the most important tasks in global security and safety monitoring. In recent days, Deep Learning has improved human detection technology. Despite modern techniques, there are very few optimal techniques to construct networks with a small size, deep architecture, and fast training time while maintaining accuracy. ReSTiNet is a novel small convolutional neural network that overcomes the problems of network size, detection speed, and accuracy. The developed ReSTiNet contains fire modules by evaluating their number and position in the network to minimize the model parameters and network size. To improve the detection speed and accuracy of ReSTiNet, the residual block within the fire modules is carefully designed to increase the feature propagation and maximize the information flow in the network. The developed approach compresses the well-known Tiny-YOLO architecture while improving the following features: (i) small model size, (ii) faster detection speed, (iii) resolution of overfitting, and (iv) better performance than other compact networks such as SqueezeNet and MobileNet in terms of mAP on the Pascal VOC and MS COCO datasets. ReSTiNet is 10.7 MB, five times smaller than Tiny-YOLO. On Tesla k80, mAP is 27.3% for MS COCO and 63.74% for PASCAL VOC. The validation of the proposed ReSTiNet model has been done on INRIA person dataset using the Tesla K80.•All the necessary steps, algorithms, and mathematical formulas for building the net- work are provided.•The network is small in size but has a faster detection speed with high accuracy.

Identification of Leading Compounds from Euphorbia neriifolia (Dudsor) Extracts as a Potential Inhibitor of SARS-CoV-2 ACE2-RBDS1 Receptor Complex: An Insight from Molecular Docking ADMET Profiling and MD-simulation Studies.

Coronavirus disease-19 (COVID-19) are deadly and infectious disease that impacts individuals in a variety of ways. Scientists have stepped up their attempts to find an antiviral drug that targets the spike protein (S) of Angiotensin converting enzyme 2 (ACE2) (receptor protein) as a viable therapeutic target for coronavirus. The most recent study examines the potential antagonistic effects of 17 phytochemicals present in the plant extraction of Euphorbia neriifolia on the anti-SARS-CoV-2 ACE2 protein. Computational techniques like molecular docking, absorption, distribution, metabolism, excretion, and toxicity (ADMET) investigations, and molecular dynamics (MD) simulation analysis were used to investigate the actions of these phytochemicals. The results of molecular docking studies showed that the control ligand (2-acetamido-2-deoxy-ß-D-glucopyranose) had a binding potential of -6.2 kcal/mol, but the binding potentials of delphin, ß-amyrin, and tulipanin are greater at -10.4, 10.0, and -9.6 kcal/mol. To verify their drug-likeness, the discovered hits were put via Lipinski filters and ADMET analysis. According to MD simulations of the complex run for 100 numbers, delphin binds to the SARS-CoV-2 ACE2 receptor's active region with good stability. In root-mean-square deviation (RMSD) and root mean square fluctuation (RMSF) calculations, delphinan, ß-amyrin, and tulipanin showed reduced variance with the receptor binding domain subunit 1(RBD S1) ACE2 protein complex. The solvent accessible surface area (SASA), radius of gyration (Rg), molecular surface area (MolSA), and polar surface area (PSA) validation results for these three compounds were likewise encouraging. The convenient binding energies across the 100 numbers binding period were discovered by using molecular mechanics of generalized born and surface (MM/GBSA) to estimate the ligand-binding free energies to the protein receptor. All things considered, the information points to a greater likelihood of chemicals found in Euphorbia neriifolia binding to the SARS-CoV-2 ACE2 active site. To determine these lead compounds' anti-SARS-CoV-2 potential, in vitro and in vivo studies should be conducted. How to cite this article: Islam MN, Pramanik MEA, Hossain MA, et al. Identification of Leading Compounds from Euphorbia Neriifolia (Dudsor) Extracts as a Potential Inhibitor of SARS-CoV-2 ACE2-RBDS1 Receptor Complex: An Insight from Molecular Docking ADMET Profiling and MD-simulation Studies. Euroasian J Hepato-Gastroenterol 2023;13(2):89-107.

Reticulocyte Hemoglobin Equivalent (Ret-He) as a Potential Diagnostic Marker of Iron Deficiency Anemia among Bangladeshi Adults.

Anemia involving a variety of etiological sources constitutes a common side effect of long-term liver diseases. Anemia caused by an iron deficiency (IDA) is a prominent kind of anemia among various other types. Blood ferritin levels and other iron-related indicators can be used to identify anemia. On the other hand, it is now possible to quantify reticulocyte hemoglobin equivalent (Ret-He), which indicates the reticulocyte iron concentration. It would be useful to diagnose IDA immediately if Ret-He could evaluate the ID. The effectiveness of Ret-He to diagnose ID in Bangladeshi patients was investigated in an ongoing study. Whole bloodstream numbers, blood ferritin phases, and Ret-He concentrations were measured in a cohort of 215 Bangladeshi people. Hemoglobin (Hb) values less than 12 gm/dL were considered anemia. An individual was classified as iron deficient if their blood ferritin concentration was below 12 ng/mL. Participants were split into four groups for this study: non-ID groups with anemia, IDA, ID, and control groups. In comparison to patients with IDA and ID, the concentrations of Ret-He showed a downward tendency. Serum Ret-He levels were correlated with ferritin levels in the subjects. The measurement of the area around the intercept (AUC) for Ret-He on the ROC curve was 0.906, suggesting a correlation with diagnosis. The study's results provide optimism for the therapeutic use of Ret-He value as an indicator for identification in Bangladeshi patients. How to cite this article: Miah MMZ, Pramanik MEA, Rafi MA, et al. Reticulocyte Hemoglobin Equivalent (Ret-He) as a Potential Diagnostic Marker of Iron Deficiency Anemia among Bangladeshi Adults. Euroasian J Hepato-Gastroenterol 2023;13(2):128-132.

Euphorbia neriifolia Leaf Juice on Mild and Moderate COVID-19 Patients: Implications in OMICRON Era.

Coronavirus disease-2019 (COVID-19) has shattered the public health delivery system of most of the countries of the world. COVID-19 displays variable clinical presentations. The severe COVID-19 represents a fulminant pathological condition and most of the patients run a downhill course if extensive medical measures are not adopted. The major challenges about COVID-19 are related to develop strategies to manage huge populations of mild and moderate cases of COVID-19 with two realistic purposes: (1) early negativity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus and (2) arrest of progression of moderate COVID-19 patients from developing severe complications. Although several medications have been repurposed for these purposes, none of these have passed the test of time in global perspective. Thus, there remains a pressing need to develop new and novel innovative management strategies for these patients as new variants of SARS-CoV-2 have been destroying the normal public health delivery system of different countries from time to time. The study presented here has checked the safety and efficacy of a herbal medication, leaves of Euphorbia neriifolia Linn (E. neriifolia), in mild and moderate COVID-19 patients. Sixty patients (30 mild COVID-19 and 30 moderate COVID-19) were enrolled in the study. Fifteen mild COVID-19 patients received standard of care (SOC) management, and the remaining 15 patients received SOC plus E. neriifolia. The moderate COVID-19 patients similarly received either SOC (N = 15) or SOC plus E. neriifolia (N = 15). Although there were marked diversity regarding biochemical parameters of these patients at entry, the moderate COVID-19 patients receiving E. neriifolia showed decrease in C-reactive protein and D-dimer and increase in oxygen saturation 7 days after trial commencement. However, these improvements were not detected in moderate COVID-19 patients receiving SOC. Hospital staying was significantly lower in both mild and moderate COVID-19 patients receiving SOC plus E. neriifolia than those receiving only SOC. Taken together, it may be proposed that usage of E. neriifolia may have beneficial effects regarding management for COVID-19 patients, especially for those in developing and resource-constrained countries, although a conclusive statement may not be given due to small sample size. This herbal medication is also pertinent in the context of emergence of OMICRON variant of COVID-19 as the overload of SARS-CoV-2-infecetd patients may be addressed considerably by this medication without hospitalization, if proper communication between patients and physicians can be ensured. How to cite this article: Pramanik MEA, Miah MMZ, Ahmed I, et al. Euphorbia neriifolia Leaf Juice on Mild and Moderate COVID-19 Patients: Implications in OMICRON Era. Euroasian J Hepato-Gastroenterol 2022;12(1):10-18.

Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding.

A textual data processing task that involves the automatic extraction of relevant and salient keyphrases from a document that expresses all the important concepts of the document is called keyphrase extraction. Due to technological advancements, the amount of textual information on the Internet is rapidly increasing as a lot of textual information is processed online in various domains such as offices, news portals, or for research purposes. Given the exponential increase of news articles on the Internet, manually searching for similar news articles by reading the entire news content that matches the user's interests has become a time-consuming and tedious task. Therefore, automatically finding similar news articles can be a significant task in text processing. In this context, keyphrase extraction algorithms can extract information from news articles. However, selecting the most appropriate algorithm is also a problem. Therefore, this study analyzes various supervised and unsupervised keyphrase extraction algorithms, namely KEA, KP-Miner, YAKE, MultipartiteRank, TopicRank, and TeKET, which are used to extract keyphrases from news articles. The extracted keyphrases are used to compute lexical and semantic similarity to find similar news articles. The lexical similarity is calculated using the Cosine and Jaccard similarity techniques. In addition, semantic similarity is calculated using a word embedding technique called Word2Vec in combination with the Cosine similarity measure. The experimental results show that the KP-Miner keyphrase extraction algorithm, together with the Cosine similarity calculation using Word2Vec (Cosine-Word2Vec), outperforms the other combinations of keyphrase extraction algorithms and similarity calculation techniques to find similar news articles. The similar articles identified using KPMiner and the Cosine similarity measure with Word2Vec appear to be relevant to a particular news article and thus show satisfactory performance with a Normalized Discounted Cumulative Gain (NDCG) value of 0.97. This study proposes a method for finding similar news articles that can be used in conjunction with other methods already in use.

Unbalanced fertilizer use in the Eastern Gangetic Plain: The influence of Government recommendations, fertilizer type, farm size and cropping patterns.

Intensive cropping systems with diverse cropping patterns present a challenge for nutrient management on smallholder farms. Government-endorsed recommendations for crop fertilizer use are designed to assist farmers achieve profitable and balanced nutrient inputs, but it is unclear how closely farmers follow these recommendations. We identified farmers' current nutrient use gaps (overuse or underuse) relative to the Government-endorsed recommended nutrient doses in two cropping patterns in three representative Agro-ecological Zones of Bangladesh. A total of 330 farms were surveyed in 2019 from three farm size categories (referred to as large-, medium and small-scale) and their gaps in nutrient use were assessed relative to Government-endorsed Fertilizer Recommendation Guides (FRG) published in 2012 and in 2018: FRG-2012 and FRG-2018. The large- and medium-scale farms used 11-16%, 80-90% and 21-30%, respectively, over-doses of NPK in the cropping season under fully rice-based cropping pattern relative to FRG-2012 recommendations, while the over-dose levels were much lower for small-scale farms. Small-scale farms used much less than recommended S, Mg, Zn, B and organic manure (OM) rates relative to FRG-2012. The FRG-2018, which increased N and K recommendations but decreased the P recommendation for rice crops relative to FRG-2012, shows that all farms can decrease the dose of P (by 50%) while small-scale farms need to increase the dose of N (7%), K (16%), S (20%) and to apply Zn in the fully rice-based cropping pattern. On the other hand, the farms could greatly reduce NPK (19%, 86% and 44%, respectively) use while increasing S (14%), Mg, Zn, B and OM use relative to FRG-2018 in the pattern with the high-value potato crop. To increase crop profitability, enhance food security and save Government treasury in the Eastern Gangetic Plain enabling approaches are needed to effectively communicate the benefits of balanced nutrient use practices to farmers.

Safety and Feasibility of Trans Radial Percutaneous Coronary Intervention Approach in Elderly Patients with Acute Coronary Syndrome.

Coronary catheterization is usually performed using the transfemoral approach but trans-radial has been increasingly used as an alternative to transfemoral approach due to less vascular complications, earlier ambulation time and improved patient comfort. The aim of the study was to compare the safety and feasibility of trans-radial and transfemoral PCI in the elderly ACS patients. This prospective observational study was conducted in the NICVD, Dhaka from October 2017 to September 2018. Total 80 patients were categorized into two groups according to the approach of PCI. Group I consists 40 patients who underwent trans-radial PCI and Group II consists 40 patients who underwent transfemoral PCI. Patients with abnormal Allen's test, history of CABG, CKD were excluded. Patient's demographics were same in both groups. The mean procedural time in min (37.44±5.13 vs. 34.42±4.42, p=0.004) and fluoroscopy time in min (21.6±4.11 vs. 17.55±2.78, p=0.02) were more in Group I but the mean hemostasis time in min (7.58±1.11 vs. 15.59±3.33, p=0.005) and the ambulation time in hour (0.00±0.00 vs. 15.59±3.33, p=0.001) were more in Group II. Significant arterial spasm following puncture (10.0% vs. 0.0%, p=0.01) were more in Group I. Post procedural major bleeding (0.0% vs. 10.0%, p=0.004), minor bleeding (10.0% vs. 20.0%, p=0.004) were significant in Group II but vessel occlusion (5.0% vs. 0.0%, p=0.02) were significant in Group I. Transradial PCI is safe in respect of procedural and post procedural vascular complications. Transradial procedure leads to improved quality of life after the procedure and thus gives much comfort to the patient. It also shortened mean duration of hospital stay. So transradial approach is an attractive alternative to conventional transfemoral approach in the elderly.

Farmers' fertilizer use gaps relative to government recommendations in the saline coastal zone of the Ganges Delta.

Overuse or underuse of nutrients relative to recommendations is a likely cause of crop yield gaps and an impediment to the achievement of food security. Government-endorsed recommendations are developed to deliver the best evidence-based advice on balanced fertilizer; however, deviations of farmers' nutrient use from the recommendations are rarely examined. This study chose the salt-affected coastal zone of the Ganges Delta, where low crop productivity and cropping intensity by smallholders limit their income, to determine current nutrient use gaps for the first time of three cropping patterns in two representative districts of Bangladesh. A total of 246 farms were surveyed from three farm sizes. Farmers' nutrient use gaps were compared with Fertilizer Recommendation Guides published in 2012 (FRG-2012) and 2018 (FRG-2018). Relative to FRG-2012 recommendations, farmers used 12%, 70%, and 11% overdoses of N, P, and K, respectively, under two fully rice-based cropping patterns, but the level of overdoses increased with farm size. Rates of K (14%), S (28%), and Zn use were below the FRG-2012 recommendations, especially for the smallest category of farms. However, the FRG-2018, increased recommended N (5%), K (62%), S (12%), and Zn rates but reduced P (25%) rates for fully rice-based cropping patterns. In contrast with rice, regardless of farm size, farmers applied overdose nutrients to watermelon but compensated with underdoses in the subsequent monsoon rice implying that farmers prioritized fertilizer expenditure on the most profitable crop. For the cropping pattern with watermelon, farmers could reduce the use of N (69%) and P (46%) and increase the use of K (48%), S (5%), and B. Reducing NPK use gaps can save treasury for both the farmers and the governments by 39.1 and 73.8 USD ha-1, respectively, under fully rice-based cropping patterns. Finally, our findings suggest there is scope to promote crop yields and sustainable intensification through balanced fertilizer use in a vulnerable saline region. Supplementary Information: The online version contains supplementary material available at 10.1007/s13593-022-00797-1.

Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study.

Thyroid disease is the general concept for a medical problem that prevents one's thyroid from producing enough hormones. Thyroid disease can affect everyone-men, women, children, adolescents, and the elderly. Thyroid disorders are detected by blood tests, which are notoriously difficult to interpret due to the enormous amount of data necessary to forecast results. For this reason, this study compares eleven machine learning algorithms to determine which one produces the best accuracy for predicting thyroid risk accurately. This study utilizes the Sick-euthyroid dataset, acquired from the University of California, Irvine's machine learning repository, for this purpose. Since the target variable classes in this dataset are mostly one, the accuracy score does not accurately indicate the prediction outcome. Thus, the evaluation metric contains accuracy and recall ratings. Additionally, the F1-score produces a single value that balances the precision and recall when an uneven distribution class exists. Finally, the F1-score is utilized to evaluate the performance of the employed machine learning algorithms as it is one of the most effective output measurements for unbalanced classification problems. The experiment shows that the ANN Classifier with an F1-score of 0.957 outperforms the other nine algorithms in terms of accuracy.

Adverse In-Hospital Outcome of Transradial PCI in Comparison to Transfemoral PCI in NSTEMI Patients during Index Hospitalization: A Single Center Study in Bangladesh.

NSTEMI patients, in comparison to STEMI patients, are more at risk of bleeding, access site complication and MACE after PCI during index hospitalization. Because they get, multiple adjuvant anti-thrombotic agents before PCI than do the STEMI patients undergoing primary PCI. Transradial access (TRA) is proven to decrease those adverse in-hospital outcomes compared to transfemoral access (TFA) in STEMI patients. But very few studies were conducted in this regard considering NSTEMI patients. We observed prospectively the adverse in-hospital outcomes of total 180 NSTEMI patients who had undergone PCI through TRA (Group I = 80) and TFA (Group II = 100) during index hospitalization between October 2017 to September 2018 in National Institute of Cardiovascular Disease (NICVD), Dhaka, Bangladesh. Samples were selected purposively. Patients were followed up 2 hours after PCI and thereafter every day until discharge. Demographic and risk factor variables were almost same in both groups. TRA, compared with TFA, yielded less major bleeding (0% versus 3%, p=0.12) which was statistically non-significant. Minor bleeding was significantly less in Group I (2.5% versus 13.0%, p=0.04). Overall bleeding was also significantly less in Group I (2.5% and 10.0%; p=0.002). Access site complication was non-significantly less in Group I (0% versus 1%, p=0.91). TRA caused non-significant reduction in MACE (2.5% versus 5%; p=0.38) but significant reduction of total adverse in-hospital outcome (5% versus 20%, p=0.006%). In this study TRA seems to have less adverse in-hospital outcome than TFA in NSTEMI patients undergoing PCI during index hospitalization.