Calculated Fracture Risk among Hypertensive and Non-hypertensive Osteoporotic Women

Vertebral and Hip fractures are the commonly encountered in low bone mass condition termed as osteoporosis. Bone mass and structure also affected by hypertension leading to increased susceptibility to fractures. This comparative cross-sectional study was conducted at two tertiary care centers in Dhaka metropolis from 1st January 2017 to 31st December 2017 under the department of Community Medicine, National Institute of Preventive and Social Medicine (NIPSOM) to assess whether HTN is linked with higher OP fracture risk. In this study 54 hypertensive and 34 non-hypertensive osteoporotic female patients were involved. After face to face interview data were collected by using semi-structured questionnaire and checklist. Online assessment of fracture risk probability was done among the two groups by Fracture Risk Assessment Tool (FRAX) and statistical analysis was performed by Statistical Packages for Social Sciences (SPSS-23.0). In this study it is found that the mean ages were 61.94±9.362 years and 59.18±11.269 years for hypertensive and non-hypertensive patients respectively. Most of the patients with hypertensive (96.3%) and non-hypertensive (82.4%) were housewives. Mean duration of hypertension in osteoporotic women was 6.41±4.049 years while mean duration of osteoporosis was 8.80±5.022 years and 7.53±5.920 years in hypertensive and non-hypertensive patients respectively. The difference in risk of major osteoporotic fractures (MOF) by age was significantly (Χ², p<0.05) higher among patients aged 60-79 years and remarkably higher in hypertensive patients. In hypertensive patients though the risk of MOF by hypertension was relatively higher but it was not significant statistically (Χ², p>0.05). However the risk of hip fracture (HF) by hypertension was relatively higher among hypertensive patients and it was significant statistically (Χ², p<0.05). This reflects that the risk of hip fracture is higher significantly in hypertensive patients.

Common mental health problems and associated factors among recovered COVID-19 patients in rural area: A community-based survey in Bangladesh

PURPOSE

Since the coronavirus (COVID-19) was announced as being a global pandemic on 11 March, governments from all parts of the world declared a quarantine period, during which people were prohibited from leaving their homes (except for essential activities) to contain the spread of the virus. Since then, the population has faced different levels of restrictions (i.e., mobility, social activities) that limited participation in normal daily routines. Consequently, these restrictions may have adversely changed physical activity, diet, sleep patterns, and screen time or work routine. So, the pandemic has had profound influence on the mental health of the entire societies. As the mental health status of Bangladeshi patients living in rural area that have recovered from COVID-19 has not been previously studied, this gap is addressed through the present investigation focusing on one rural Bangladeshi community.

METHODS

A convenience sampling method was employed to recruit participants for this cross-sectional study. Data was gathered by conducting face-to-face interviews with 243 recovered COVID-19 patients (as confirmed by a positive Reverse Transcription PCR test) attending a local primary health care facility center and instructed to consider how they felt in the preceding week.

RESULTS

By administering a validated Bengali version of the Depression, Anxiety, and Stress Scale (DASS-21) to measure participants' mental health status, we noted that 24% of the sample exhibited depressive symptoms. In addition, 30.9% and 21.8% of the participants experienced stress symptoms and reported anxiety, respectively. Sociodemographic factors such as female sex, lower educational level, living away from family, smaller living accommodations, and lower economic status significantly predicted mental health outcomes in multivariate logistic regressions.

CONCLUSION

These results may help health care providers formulate proper mental health interventions and preventive measures to minimize the mental health problems among patients that have recovered from COVID-19.

Health-related quality of life (HRQoL) and associated factors in Bangladeshi adolescents during COVID-19

Background and Aims

The COVID-19 pandemic and its accompanying countermeasures significantly disrupt the health-related quality of life (HRQoL) of adolescents. We aimed to estimate the status and associated factors related to HRQoL of adolescents during the COVID-19 pandemic from the community population of Bangladesh.

Methods

This cross-sectional study followed two-stage sampling. From eight administrative divisions of Bangladesh, 2030 adolescents were enrolled. The KIDSCREEN-10 index was used to measure the HRQoL of adolescents. In addition to this, adolescents' data on sociodemographics, mental well-being, parenting style, insomnia, food insecurity, depression, anxiety and stress, resilient coping, screen-based activity, and anthropometry were taken for finding out the factors associated with HRQoL of adolescents. The hierarchical multilinear regression was performed to assess the association.

Results

More than 47% of adolescents were found to have moderate and high HRQoL, while 4.7% of adolescents experienced low HRQoL during data collection. Higher age (B: -0.671), having more siblings (B: -0.316), food insecurity (B: ‒2.010), depression (B: ‒0.321), anxiety (B: ‒0.362), and stress (B: ‒0.150) were found to have significantly negative associations with adolescents' HRQoL during the COVID-19 pandemic. Whereas, positive parenting (B: 0.409), inconsistent parenting discipline (B: 0.266), good mental health (B: 5.662), resilient coping (B: 0.306) were found to have significant positive relationships.

Conclusions

The findings from this study indicate that over 52% of the adolescents reported a moderate and lower level of HRQoL. In light of these results, it may be beneficial to prioritize interventions targeting psychological factors such as depression, anxiety, and stress.

A Self-Attention-Based Neural Network for Predicting Immune Checkpoint Inhibitors Response

PURPOSE/OBJECTIVE(S)

Cancer cells evade immune system by negatively regulating T cells via immune checkpoints (e.g., PD-1). By blocking these checkpoints, the ability of immune system to recognize and kill cancer cells restores. Individual response rate of checkpoint blockade varies among patients, with 50%-80% in specific types of cancer such as melanoma, while only 15%-30% in most other tumors. Yet it is still an open question what is the set of biomarkers that are crucial to the response to immune checkpoint inhibitors (ICI). The overall goal of this study is to develop and validate a biologically-aware interpretable deep learning model to identify the biomarkers that can predict the survival outcome to ICI treatment.

MATERIALS/METHODS

The self-attention mechanism could yield interpretable results where important biomarkers may have more "attention". However, in classical self-attention mechanism, the prior biological knowledge of protein interactions (PPI) and gene pathways are not incorporated. In this study, we propose a weighted biologically-aware attention score, where it is weighted against the gene centrality and pathway length. The genes that are closely connected to mutated genes receive 'high attention', while the genes that are far away from mutated genes along the pathway receive "lower attention". We then train, validate and test our model using 1,660 patients of nine types of cancer. To validate the prediction, 1. We evaluate the accuracy via concordance index. 2. We identified the genes that receive high attention and verify their functions in existed literature. 3. We perform sanity check by removing these genes from the data, re-training and predicting again, and comparing the prediction accuracy.

RESULTS

Our framework has achieved an average accuracy (measured via c-index) of 0.60 ± 0.06 for NSCLC and 0.58 ± 0.07 for melanoma, which is superior to both the gold standard COX-PH model (0.57 ± 0.06 for NSCLC and 0.53 ± 0.03 for melanoma) and DeepSurv (0.54 ± 0.05 for NSCLC and 0.51 ± 0.10 for melanoma). Genes that receive high attention have been validated by supporting literature, which provides an additional means of verifying the prediction in comparison to "black box" deep learning models, where there is no way to comprehend the reason behind predictions. Removing the top 8% high-attention genes (∼25 genes) from the data while using the remaining 92% for making predictions resulted in a drop in accuracy to 0.55 ± 0.073 for NSCLC and 0.56 ± 0.03 for melanoma, underscoring the significance of these genes. Patient stratification is also performed by dividing patients into responders and non-responders based on prediction score.

CONCLUSION

In this study, we propose and validate a biologically-aware self-attention based deep learning model which outperforms commonly-used survival models. Additionally, this tool has the potential to identify key biomarkers while assist in clinical decision-making, which demonstrates a promising step for immunotherapy response prediction.

Accelerating Volumetric CT and MRI Imaging by Reference-Free Deep Learning Transformation from Low-Resolution to High-Resolution

PURPOSE/OBJECTIVE(S)

High-resolution (HR) images are important in precision radiation oncology. However, acquiring HR volumetric CT and MRI images is often time consuming; also, the resolution in some direction(s) (e.g., z-direction in the case of CT) is often limited by imaging hardware or fundamental imaging principle. Super-resolution (SR) imaging, i.e., the low-resolution (LR) to HR image transformation, is widely used to improve image resolution. Data-driven deep learning (DL) methods have achieved great success in SR imaging, yet they can hardly be applied to medical imaging as they require large amount of LR-HR image pairs to train the model. We therefore propose a reference-free DL method to increase resolutions of volumetric medical images in an efficient way.

MATERIALS/METHODS

We propose a maximum likelihood estimation (MLE)-based implicit neural representation (INR) network for SR imaging. The INR network aims to represent an image as a continuous function parameterized by a coordinate-based multi-layer perceptron. The INR network takes image coordinates as input and outputs corresponding pixel intensities. To train the network without using any HR images, we use a MLE framework to model LR observations' statistics and their relation to the latent HR image. The predicted HR image from the INR's output is transformed to LR images based on the MLE, and the network parameters are then optimized by minimizing the distance between the transformed LR images and actual LR observations. We demonstrate the efficacy of the proposed method on CT and MRI images for 2x, 4x, and 8x SR using only one or two LR image(s). The performance is compared with a conventional SR method named plain MLE, in terms of visual quality and numerical qualities of PSNR and SSIM.

RESULTS

Our method outperformed the plain MLE method in the experiment. Table 1 reports the numerical improvements of our method over the compared plain MLE method. For 2x SR with a single LR image, our method achieved significant improvements in both PSNR and SSIM. When using two LR images, the better structural restoration capability of our method became more obvious with higher SR magnifications, as indicated by the increased SSIM differences. Better noise suppression capability of our method is observed in all our studies, as indicated by the PSNR values. In visual quality evaluation, we observed sharper image details with less noise in SR images generated by the proposed method, compared with the plain MLE method.

CONCLUSION

The proposed novel reference-free DL method can efficiently provide high-quality HR images with only one or two LR images for CT and MRI imaging. This method can be easily generalized to many other radiation therapy related applications without the requirement for HR reference images.

Prevalence of chronic obstructive pulmonary disease (COPD) among rural population: A national survey in Bangladesh

Background

In Bangladesh, there is a scarcity of nationally representative data on the burden of chronic obstructive pulmonary disease (COPD).

Methods

To estimate the COPD prevalence in rural settings, this cross-sectional, population-based study was conducted in all eight administrative divisions of Bangladesh, and involved adults aged 40 years and above. By using multi-stage random sampling, 2,458 individuals were enrolled. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines were used to diagnose COPD based on post-bronchodilator lung function, while additional participant data was gathered through computer-assisted personal interviews.

Results

A 2% COPD prevalence (95% CI: 1.45, 2.55) was found in the study sample with a statistically significant difference between males (2.7%; 95% CI: 1.8, 3.6) and females (1.2%; 95% CI: 0.59, 1.81). Increasing age significantly inflated the odds of having COPD irrespective of sex (OR: 1.03; 95% CI: 1.00, 1.05; P value < 0.05). Furthermore, prevalence of COPD was higher among manual workers, cigarette smokers, and those that used the indoor kitchen and did not have a primary education. Sex-based analysis showed that smokeless tobacco consumption was significantly associated with COPD occurrence among males (OR: 2.14; 95% CI: 1.05, 4.37; P value < 0.05), but not females. Further, using an indoor kitchen increased the odds of developing COPD by 400% among female participants (OR: 4.39; 95% CI: 1.37, 14.10; P value < 0.05).

Conclusion

This study provides a comprehensive sex-based estimation of COPD prevalence among rural population and imparts significant contribution to the growing database on COPD prevalence in Bangladesh.

Compliance of healthcare workers with the infection prevention and control guidance in tertiary care hospitals: quantitative findings from an explanatory sequential mixed-methods study in Bangladesh

OBJECTIVES

To assess healthcare workers' (HCWs) compliance with the infection prevention and control (IPC) practices and identify the factors influencing this compliance using the Health Belief Model as the theoretical framework.

DESIGN

Quantitative data from an explanatory sequential mixed-methods study were employed in this research.

PARTICIPANTS AND SETTINGS

From 17 May to 30 August 2020, 604 physicians and nurses working at six randomly selected tertiary care facilities in Dhaka City in Bangladesh took part in this study.

PRIMARY AND SECONDARY OUTCOME MEASURES

Compliance with the WHO's guidance on IPC measures, as well as the associated factors, was the primary outcome.

RESULTS

A mean compliance score of 0.49 (±0.25) was observed on a 0-1 scale. HCWs were most compliant with the medical mask wearing guidelines (81%) and were least compliant with the high-touch surface decontamination regulations (23%). Compliance with the IPC guidance was significantly associated with increasing age, female sex, working as a nurse, having non-communicable diseases and history of exposure to patients with COVID-19. Perceived benefits (B=0.039, 95% CI 0.001 to 0.076), self-efficacy (B=0.101, 95% CI 0.060 to 0.142) and cues to action (B=0.045, 95% CI 0.002 to 0.088) were positively associated with compliance. Compliance with IPC guidance was 0.061 times greater among participants who reported low perceived barriers compared with those with high perceived barriers.

CONCLUSION

Overall, compliance with IPC guidance among HCWs was unsatisfactory. As self-efficacy exerted the greatest contribution to compliance, it should be emphasised in any endeavour to improve HCWs' IPC adherence. Such interventions should also focus on perceived barriers, including unreliability of the information sources, unsafe working places and unavailability of protective equipment and cues to action, including trust in the administration and availability of adequate IPC guidance.

Evaluation of Short Term Outcome of Stapled Transanal Rectal Resection (STARR) for ODS (Obstructed Defecation Syndrome) by Comparing Pre and Post-operative ODS Score

Obstructed defecation syndrome (ODS) is a common anorectal problem and it can be corrected by various surgical approaches but most of these have high recurrence and complication rates. Antonio Longo introduced Stapled transanal rectal resection (STARR) in 2003 as a minimally invasive transanal operation for correction ODS associated with rectocele and or rectal intussusception. This study was designed to assess the short term outcome of Stapled Transanal Rectal Resection (STARR) as a surgical treatment of Obstructed Defecation Syndrome (ODS). This is a quasi experimental study which was carried out in the department of Colorectal Surgery, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh from May 2016 to June 2017. Seventeen (17) patients were included in the study. Patients with obstructed defecation syndrome and rectocele and or rectal intussusception admitted in the department of Colorectal Surgery were enrolled in the study as per inclusion and exclusion criteria. History, clinical examination, Proctoscopy, Colonoscopy and MR Defecography was done for evaluation of the patients. During evaluation preoperative Longo's ODS score of every patient also determined and compared with postoperative ODS score. The patient was followed up regularly at one, three and six months after each operation. The ODS score in 82.35% patients improved significantly. The postoperative score was high (13-15) only in 02(11.8%) patients probably due to presence of physiological factors. Post-operative defecatory urgency was developed in only 02(11.76%) patients. Major postoperative complication like hemorrhage or rectovaginal fistula did not develop in any patient. STARR is an effective, less invasive and simple procedure for the treatment of ODS with rectocele and/or rectal intussusception without major morbidity but other physiological causes of ODS should exclude preoperatively because its presence makes the surgical intervention fruitless.

Assessment of risk perception and risk communication regarding COVID-19 among healthcare providers: An explanatory sequential mixed-method study in Bangladesh

Background: Any public health emergency demands adequate risk communication with the vulnerable population along with their optimized perception about the impending risk to ensure proper risk management and crisis control. Hence, we conducted this study to explore healthcare providers’ perceptions regarding risks of coronavirus disease 2019 (COVID-19), as well as how they are being communicated to about the risk, and how they practice risk reduction measures.

Methods: We conducted a two-phased explanatory sequential mixed-method study among physicians and nurses from randomly selected tertiary healthcare facilities in Dhaka, the capital of Bangladesh. In the first phase, we assessed the general pattern and quantifiable measures of risk perception, risk communication, and infection prevention practices quantitatively. We performed multiple linear regression analyses to explore how much variability of risk perception was predicted by risk communication methods and contents. In the second phase, we collected qualitative data for in-depth understanding and exploration of participants’ experiences and insights regarding COVID-19 risk through interviews and document reviews. We manually performed thematic content analysis of the qualitative data. Finally, we triangulated findings from both phases to illustrate the research objectives.

Discussion: Based on the psychometric dimensions of risk perception and psycho-social theory of the health belief model, perceptions of COVID-19 risk among healthcare providers were evaluated in this study. The relationship between risk perception and infection prevention and control practices among healthcare providers were also investigated. The explanatory sequential design of this study is expected to generate hypotheses on how risk perception is being shaped in a time of uncertainty and, thus, will help to build a proper risk communication strategy for the healthcare providers

Antimicrobial Resistance of E Coli Causing Urinary Tract Infection in Bangladesh

Rapid spread of multidrug resistant microorganisms is a matter of great concern throughout the glove including Bangladesh. The objective was to identify the causative organisms for urinary tract infection (UTI) and their sensitivity patterns to antibiotics. This descriptive cross-sectional study was conducted on patients admitted with UTI (n=60) at a tertiary level hospital in Dhaka, Bangladesh from March 2019 to September 2019. Data were collected through clinical record reviews. Data of all these 60 cases were analyzed for socio-demographic characteristics. Of the 60 patients, culture and sensitivity report was available for 42 patients. Therefore, data were further analyzed for these 42 cases. Median age of patients was 35 years and 80% were female. The main organisms isolated from urine culture of UTI patients were E. coli (64%), Klebsiella (12%) and Enterococci species (10%). Susceptibility to antibiotics was analyzed only for E. coli (n=27) since the number of isolates of other organisms were small. E. coli was found to be resistant to most of the first- and second-line antibiotics, such as Amoxicillin (100%), Amoxyclav (72%), Co-trimoxazole (89%), Nalidixic acid (78%), Ceftazidim (94%), Ceftriaxone (73%), Cefuroxime (100%), Ciprofloxacin (59%), Cephotaxime (80%), Cefixime (100%) and Moxifloxacin (100%). E. coli was the predominant organism responsible for UTI and was resistant to most of the first- and second-line antibiotics. Immediate action is needed to develop empirical guideline for empirical management of UTI and establish surveillance system for monitoring.

Milestones of Development in Infancy: A Prospective Study in a Tertiary Level Hospital of Bangladesh

The timing of milestone is influenced by many factors. Sex and socioeconomic status has significant effect to some psycomotor milestones. The study was conducted to determine the pattern of milestones of development of infants in our country and to compare it in different sex and socioeconomic condition. It was a hospital based prospective study done in Sir Sallimullah Medical College and Mitford Hospital, Dhaka, Bangladesh from October 2014 to November 2015. Healthy term newborn infants with average birth weight were included in this study and milestones of this birth cohort were assessed monthly from birth to 12 months of age by using a set of 60 milestones. Total number of 217 babies was enrolled but during follow up 0.9% developed meningitis, 43.7% was lost to follow up and 55.2% of the cohort was followed up to 12 months of age. Among 120 babies 51.7% were male, 48.3% were female babies and 51.7% belong to lower, 32.5% middle and 15.8% upper socioeconomic group. There was no significant difference between male and female infants achieving most of the milestones of development except in language development in which female infants were little bit higher than male infants.

Diagnostic Value of Clinical Profile and Proposed a Clinical Diagnostic Criterion of Enteric Fever

Enteric fever is a common bacterial infection in the tropics and endemic to Bangladesh. The volatile manifestations of enteric fever construct this disease a true diagnostic confrontation. There are limited current objective data on the value of individual clinical features of enteric fever in the diagnosis of enteric fever. The aim of the study was analysis of clinical features and also proposed a clinical diagnostic criterion of enteric fever among adult in Bangladesh. This cross-sectional comparative study was performed among which of fifty confirmed enteric fever and hundred non enteric febrile adult patients in Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh from January 2015 to December 2015. Purposive sampling technique was implied for convenience of the study. In this study, history of step ladder fever, diarrhoea and relative bradycardia, ceacal gurgle, abdominal distension were proved to be powerful markers of enteric fever with high specificity (100.0%, 90.0%, 95.0%, 92.0% and 95.0% respectively). Tender right iliac fossa (RIF) and coated tongue, hepatomegaly were moderately powerful with 86.0%, 88.0%, 89.0% specificity respectively. Positive predictive value (PPV) was highest for step ladder fever (100%) and negative predictive value (NPV) was highest for headache (92.5%). Highest sensitivity, PPV and NPV were found for relative bradycardia and tender RIF but most of the signs had good specificity. Regarding accuracy it was highest for step ladder fever (91.3%), relative bradycardia (94%), tender RIF (87%), coated tongue (82%) and splenomegaly (84%). Therefore, a clinical diagnostic criterion was submitted with diagnostic accuracy more than 70% were taken into deliberation. The Major criteria were considered step ladder fever, relative bradycardia, tender RIF with diagnostic accuracy 91.0%, 94.0% and 87.0% respectively. Minor criteria included splenomegaly, diarrhoea, coated tongue, ceacal gurgle, chills with diagnostic accuracy 85.0%, 85.0%, 82.0%, 76.0%, 72.0% respectively and after amalgamation of various major and minor criteria a final diagnostic criterion was submitted having accuracy more than 60.0%. In conclusion the clinical profile of enteric fever in culture proven patients with a view to highlight the predictive value of those features which would help general practitioners in the diagnosis and empiric treatment.

Duration and Risk Factors of Post-COVID Symptoms Following Recovery Among the Medical Doctors in Bangladesh

A large number of coronavirus disease 2019 (COVID-19) recovered patients are suffering from related symptoms. We conducted telephone interviews with 186 COVID-19 recovered medical doctors to determine the post-COVID symptoms, duration, and associated risk factors. About 70% of participants had at least one acute post-COVID symptom, including fatigue (43.0%), sleep disturbance (13.4%), lack of concentration (11.8%), breathing difficulty (10.2%), headache (6.5%), and muscle pain (6.5%). However, about 24% of participants reported having long post-COVID symptoms. Logistic regression analysis showed that female sex (odds ratio {OR}, 2.79; 95% CI, 1.28-6.06; p-value: 0.010) and comorbid conditions (OR, 2.28; 95% CI, 1.08-4.79; p: value, 0.030) are risk factors for the long post-COVID symptoms.

A rapid and cost-effective multiplex ARMS-PCR method for the simultaneous genotyping of the circulating SARS-CoV-2 phylogenetic clades

Tracing the globally circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) phylogenetic clades by high-throughput sequencing is costly, time-consuming, and labor-intensive. We here propose a rapid, simple, and cost-effective amplification refractory mutation system (ARMS)-based multiplex reverse-transcription polymerase chain reaction (PCR) assay to identify six distinct phylogenetic clades: S, L, V, G, GH, and GR. Our multiplex PCR is designed in a mutually exclusive way to identify V-S and G-GH-GR clade variants separately. The pentaplex assay included all five variants and the quadruplex comprised of the triplex variants alongside either V or S clade mutations that created two separate subsets. The procedure was optimized with 0.2-0.6 µM primer concentration, 56-60°C annealing temperature, and 3-5 ng/µl complementary DNA to validate on 24 COVID-19-positive samples. Targeted Sanger sequencing further confirmed the presence of the clade-featured mutations with another set of primers. This multiplex ARMS-PCR assay is a fast, low-cost alternative and convenient to discriminate the circulating phylogenetic clades of SARS-CoV-2.

A rapid and cost-effective multiplex ARMS-PCR method for the simultaneous genotyping of the circulating SARS-CoV-2 phylogenetic clades

Tracing the globally circulating severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) phylogenetic clades by high‐throughput sequencing is costly, time‐consuming, and labor‐intensive. We here propose a rapid, simple, and cost‐effective amplification refractory mutation system (ARMS)‐based multiplex reverse‐transcription polymerase chain reaction (PCR) assay to identify six distinct phylogenetic clades: S, L, V, G, GH, and GR. Our multiplex PCR is designed in a mutually exclusive way to identify V–S and G–GH–GR clade variants separately. The pentaplex assay included all five variants and the quadruplex comprised of the triplex variants alongside either V or S clade mutations that created two separate subsets. The procedure was optimized with 0.2–0.6 µM primer concentration, 56–60°C annealing temperature, and 3–5 ng/µl complementary DNA to validate on 24 COVID‐19‐positive samples. Targeted Sanger sequencing further confirmed the presence of the clade‐featured mutations with another set of primers. This multiplex ARMS‐PCR assay is a fast, low‐cost alternative and convenient to discriminate the circulating phylogenetic clades of SARS‐CoV‐2.

Multiplex ARMS‐PCR (amplification refractory mutation system‐polymerase chain reaction) method for genotyping major severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2 clades).

Identify the mutated region of circulating phylogenetically SARS‐CoV‐2 clades.

PCR conditions were optimized and validated to identify V–S and G–GH–GR clade.

COVID-19 Rehabilitation Response in Bangladesh: Ongoing Efforts and Future Directives

COVID-19 pandemic brings significant number of post-acute and chronic disabilities requiring attention to Physical Medicine and Rehabilitation (PMR) services. Total Health and Rehabilitation sector in Bangladesh is overwhelmed; patient care and academic activities are seriously impacted by this pandemic. Rehabilitation team works and academic calendar is disrupted. Bangladesh PMR working to manage COVID-19 imposed rehabilitation challenges with adjustment and adaptations of the existing facilities. There is an urgent need to undertake additional measures promptly, including rehabilitation capacity building anticipating the potential challenge that would be faced by the hospitals in the estimated upsurge of COVID-19 cases and its complications thereafter. This topic highlights the activity log for COVID-19 preparedness and mitigation for rehabilitation services in Bangladesh with a message for other rehabilitation settings in the world.

Legg-Calve-Perthes Disease: Correlation between Computed Radiography and Magnetic Resonance Imaging

The purpose of this study is to diagnose Legg-Calve-Perthes disease by computed radiography and Magnetic resonance imaging and accurate staging and correlating the findings of these two modalities. Thirty five (35) patients complaining pain in groins and painful walking, after thorough physical examinations were sent to Department of Radiology & Imaging, Mymensingh Medical College Hospital, Mymensingh, Bangladesh for computed radiography and Magnetic Resonance Imaging examination. This cross sectional study was conducted in the Department of Radiology, Mymensingh Medical College Hospital, Mymensingh, Bangladesh from July 2016 to June 2018. Legg-Calve-Perthes disease among the selected 35 cases were started at the age of 5(2.9%) and age range of the patients were 5-13 years; mean age was (9.63±1.82) years and most of them belonged to 8-10 years of age (51.4%). Patients with Legg-Calve-Perthes disease had been suffering from pain in right and left groins forvarious durations. Maximum duration was 1-2 years (~88.57%). Maximum proportion of diagnosed patients was delivered by normal delivery (60%) and maximum proportion of patients was premature (65.7%). Most of the patients were low birth weight baby (65.7%). Here chi-square test was done and found no significant relationship between delivery mode and birth weight in case of Legg-Calve-Perthesdisease (x²=1.712) (P=0.191). The result of the X-ray and MRI findings by cross table of chi square test found fair inter relationship between two diagnostic instruments. Result found fine difference in staging of the disease between X-ray and MRI findings. It can be said that MRI definitely a better tool for early diagnosis of Legg-Calve-Perthes disease and its staging but X-ray modality can be used. A primary tool for diagnosis and staging of the disease can be done where the MRI facility is not available or cost expensive for patient.

Thermal gradient driven domain wall dynamics

The issue of whether a thermal gradient acts like a magnetic field or an electric current in the domain wall (DW) dynamics is investigated. Broadly speaking, magnetization control knobs can be classified as energy-driving or angular-momentum driving forces. DW propagation driven by a static magnetic field is the best known example of the former in which the DW speed is proportional to the energy dissipation rate, and the current-driven DW motion is an example of the latter. Here we show that DW propagation speed driven by a thermal gradient can be fully explained as the angular momentum transfer between thermally generated spin current and DW. We found DW-plane rotation speed increases as DW width decreases. Both DW propagation speed along the wire and DW-plane rotation speed around the wire decrease with the Gilbert damping. These facts are consistent with the angular momentum transfer mechanism, but are distinct from the energy dissipation mechanism. We further show that magnonic spin-transfer torque (STT) generated by a thermal gradient has both damping-like and field-like components. By analyzing DW propagation speed and DW-plane rotational speed, the coefficient ([Formula: see text]) of the field-like STT arising from the non-adiabatic process, is obtained. It is found that [Formula: see text] does not depend on the thermal gradient; increases with uniaxial anisotropy [Formula: see text] (thinner DW); and decreases with the damping, in agreement with the physical picture that a larger damping or a thicker DW leads to a better alignment between the spin-current polarization and the local magnetization, or a better adiabaticity.

A Low Cost and Portable Microwave Imaging System for Breast Tumor Detection Using UWB Directional Antenna array

Globally, breast cancer is a major reason for female mortality. Due to the limitations of current clinical imaging, the researchers are encouraged to explore alternative and complementary tools to available techniques to detect the breast tumor in an earlier stage. This article outlines a new, portable, and low-cost microwave imaging (MWI) system using an iterative enhancing technique for breast imaging. A compact side slotted tapered slot antenna is designed for microwave imaging. The radiating fins of tapered slot antenna are modified by etching nine rectangular side slots. The irregular slots on the radiating fins enhance the electrical length as well as produce strong directive radiation due to the suppression of induced surface currents that radiate vertically at the outer edges of the radiating arms with end-fire direction. It has remarkable effects on efficiency and gain. With the addition of slots, the side-lobe levels are reduced, the gain of the main-lobe is increased and corrects the squint effects simultaneously, thus improving the characteristics of the radiation. For experimental validation, a heterogeneous breast phantom was developed that contains dielectric properties identical to real breast tissues with the inclusion of tumors. An alternative PC controlled and microcontroller-based mechanical MWI system is designed and developed to collect the antenna scattering signal. The radiated backscattered signals from the targeted area of the human body are analyzed to reveal the changes in dielectric properties in tissues. The dielectric constants of tumorous cells are higher than that of normal tissues due to their higher water content. The remarkable deviation of the scattered field is processed by using newly proposed Iteratively Corrected Delay and Sum (IC-DAS) algorithm and the reconstruction of the image of the phantom interior is done. The developed UWB (Ultra-Wideband) antenna based MWI has been able to perform the detection of tumorous cells in breast phantom that can pave the way to saving lives.

Transcriptome analysis, using RNA-Seq of Lomandra longifolia roots infected with Phytophthora cinnamomi reveals the complexity of the resistance response

The plant pathogen Phytophthora cinnamon the causal agent of disease in numerous species, is a major threat to natural vegetation and has economic impacts in agriculture. The pathogen principally invades the root system, which, in susceptible species, is rapidly colonised and functionally destroyed. Few species are resistant, however, where resistance is expressed the pathogen is restricted to small, localised lesions. The molecular mechanisms that underpin this response in resistant species are not well understood. Lomandra longifolia, an Australian native species, is highly resistant to P. cinnamomi. In an earlier study, we showed induction of resistance-related components such as callose, lignin and hydrogen peroxide (H₂ O₂ ) in L. longifolia roots that had been inoculated with P. cinnamomi. Here, in order to further identify, during the very early stages of infection, the molecular components and regulatory networks that may trigger resistance, a comprehensive root transcriptome analysis was performed using next generation sequencing. Overall, 18 cDNA libraries were produced generating 52.8 GB 126 base pair reads, which were de novo assembled into contigs. Differentially expressed genes (DEGs) were identified allowing the identification of infection-responsive candidate genes that were putatively related to resistance, and from this set ten were selected for qRT-PCR to validate the RNA-Seq expression value. Further analysis of individual candidates revealed that many were involved in PAMP-triggered immunity (PTI; pattern recognition receptors, glutathione S-transferase, callose synthases, pathogenesis-related protein-1, mitogen activated protein kinases) and effector-triggered immunity (ETI) (NBS-LRR, signalling genes, transcription factors and anti-pathogenic compound synthase genes). As these candidate genes or mediated components activate different defence signalling systems, they may have potential for investigation of novel approaches to disease control and in transgenic approaches for improvement, in susceptible species, of resistance to P. cinnamomi.

Clinical and Neuro-radiological Presentation of Tuberous Sclerosis Complex in Tertiary Care Centre

Tuberous sclerosis complex (TSC) is a common neurocutaneous disorder characterized by hamartomatous changes in the lungs, brain, kidneys, skin, heart, and other organs. This retrospective study was done to see the clinical presentation and neuro imaging pattern of TSC in a tertiary care centre of Bangladesh and was conducted at Pediatric Neurology Unit of Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from January 2013 to December 2013. Among total 10 patients male-female ratio was 3:2. Commonest age group was 1-5 year in 50%. Common cutaneous abnormality was facial angiofibroma in 100%. Commonest neurological presentation was epilepsy in100%, ASD in 20% patient. Common renal manifestation was multicystic kidney disease (20%). CT/MRI findings were periventricular calcifications in 70% patients. In this study facial angiofibroma is the most common skin manifestation and epilepsy is the common neurological presentationandperiventricular calcification is the most common neuro-radiological findings in tuberous sclerosis complex.

Incidence of Diabetes Insipidus in Postoperative Period among the Patients Undergoing Pituitary Tumour Surgery

Post operative complications after pituitary tumour surgery vary according to procedure. There are several surgical procedures being done such as transcranial, transsphenoidal microsurgical and transsphenoidal endoscopic approaches. One of the commonest complications is diabetes insipidus (DI). Our main objective was to find out the incidence of diabetes insipidus in post operative period among patients undergoing surgical intervention for pituitary tumour in our institute. The presence of diabetes insipidus in the postoperative period was established by measuring serum Na+ concentration, hourly urine output and urinary specific gravity to find out the incidence of diabetes insipidus in postoperative period in relation to age, gender, tumour diameter, function of tumour (i.e., either hormone secreting or not) and operative procedure used for surgical resection of pituitary tumor. As it is the most common postoperative complication so, in this study we tried to find out how many of the patients develop diabetes insipidus in postoperative period following surgical resection of pituitary tumour. This cross sectional type of observational study was carried out in the department of Neurosurgery, BSMMU from May 2014 to October 2015 on 33 consecutive patients who underwent surgical intervention for pituitary tumour for the first time. Data was collected by using a data collection sheet. The incidence of diabetes insipidus was found 23.1% of patients in <30 year age group, 38.5% of patients in 31-40 year age group and 38.5% of patients in ≥40 year age group (p=0.764). In case of distribution of patients according to gender 38.5% of male and 61.5% of female developed diabetes insipidus (p=0.073). Regarding tumour size 30.8% and 69.2% of patients developed diabetes insipidus having tumour diameter <30mm and ≥30mm respectively (p=0.590). In case of operative procedure 69.2% of patients developed diabetes insipidus who was operated by transsphenoidal endoscopic approach, 23.1% and 7.7% of patients developed diabetes insipidus who underwent pituitary tumour resection through transsphenoidal microscopic approach and transcranial microscopic approach respectively (p=0.432). 17.6% of patients develop DI having functioning pituitary macroadenoma and 62.5% of patients develop DI having nonfunctioning pituitary macroadenoma. This observational study has been performed to find out the incidence of diabetes insipidus. Incidence of postoperative DI is more at or around the age of 40 years. It is slightly predominant in female. Most of the patients manifest DI in the first 24 hours of surgical intervention. Incidence of DI is low among patients having functioning pituitary macroadenoma.

Acinar Cell Carcinoma of the Pancreas: A Case Report

Acinar cell carcinoma (ACC) of the pancreas is a very rare neoplasm. We report a case of pancreatic acinar cell carcinoma involving the uncinate process of the pancreas. A 45 year old man presented with a painful upper abdominal mass without any jaundice or weight loss. Computed Tomography (CT) and Magnetic Resonance Cholangio-Pancreatography (MRCP) indicated a mass lesion in the uncinate process of the pancreas. He underwent Whipple's procedure (Pancreaticoduodenectomy). Histological slides revealed features of Acinar cell carcinoma (ACC) in the uncinate process of the pancreas and a lymph node.