P04.04 Optimizing dasatinib for glioblastoma treatment

BACKGROUND

Glioblastoma is the most common primary malignancy of the central nervous system with a dismal prognosis, even with surgical and chemoradiotherapy. Expression profiling studies classify IDH-wildtype Glioblastoma into three subtypes: Proneural (PN), mesenchymal (MES) and classical (CL). A promising target to inhibit in Glioblastoma is the non-receptor tyrosine kinase and proto-oncogene SRC. After robust pre-clinical results, SRC inhibitors like dasatinib did not improve survival of Glioblastoma patients after recurrence in clinical trials.

MATERIAL AND METHODS

Consolidating efforts to personalize cancer therapy, we use in silico analyses backed by in vitro and in vivo experiments on Glioblastoma stem-like cells (GSCs) derived from primary patient tumors to present a novel stratification strategy for dasatinib therapy in glioblastoma. To further tackle dasatinib resistance in GSCs, a pooled shRNA library against 5000 genes was combined with dasatinib to identify genes whose knockdown sensitizes GSCs to dasatinib. This was integrated with proteomics and phosphoproteomics data of dasatinib inhibited GSCs.

RESULTS

We found MES tumors with high expression of SERPINH1 to be sensitive to dasatinib inhibition, compared to the CL and PN subtypes. Interestingly, SRC phosphorylation status did not predict the efficacy of dasatinib inhibition. Computational analyses integrating data from the loss-of-function dropout viability screen and proteomics/phosphoproteomics using a novel modification of the SamNet algorithm identified Wee1, a tyrosine kinase involved in cell-cycle signaling, as a potential combination inhibition target with dasatinib. Further validation experiments showed a robust synergistic effect through combination of dasatinib and the wee1 inhibitor, MK-1775 in PN GSCs.

CONCLUSION

This study highlights strategies to optimize dasatinib treatment in different glioblastoma subtypes. While the stratification of patients harboring mesenchymal glioblastoma with SERPINH1 overexpression could provide an option in this particular subtype, combining dasatinib or other SRC inhibitors with Wee1 inhibitors could present an additional possibility for treating resistant proneural tumors

Post-dural puncture headache following lumbar spinal drain: an atypical presentation with cognitive symptoms

Post‐dural puncture headache is a consequence of cerebrospinal fluid loss, leading to reduced intracranial pressure. Its classical symptoms include a frontal‐occipital headache which is worse on standing, neck stiffness, nausea, hearing loss and photophobia. In this report, we describe an atypical presentation of post‐dural puncture headache in a 72‐year‐old woman following an endovascular repair of an aortic aneurysm, before which a lumbar spinal drain was placed to reduce the risk of spinal cord ischemia. Following drain removal, the patient developed hypoactive delirium, challenges with both depth perception and fine motor skills and a mild headache. An epidural blood patch was performed, which resulted in the complete resolution of her symptoms. This case highlights an atypical presentation of post‐dural puncture headache in an older patient, in whom the major symptoms were cognitive. Cerebrospinal fluid leakage should be considered as a cause of postoperative delirium in patients who have undergone neuraxial anaesthesia.

O12 Artificial intelligence-based risk prediction for death after emergency laparotomy using multi slice contrast enhanced computerised tomography

Introduction

Emergency laparotomy has a considerable mortality risk, with more than one in ten patients not surviving to discharge. Preoperative risk prediction using clinical tools is well established, however implemented variably. Preoperative CT is undertaken almost universally and contains granular data beyond diagnostics, including body composition, disease severity and other abstract features with the potential to enhance risk prediction. In this study we established the value of features extracted in an automated fashion from pre-operative CT in predicting 90-day post-surgery mortality.

Method

Anonymised CTs were collated from patients undergoing emergency laparotomy at ten hospitals in Southern England (2016–2017). For each case, axial portal venous abdominal/pelvic series were analysed using a pre-trained neural network, with each image converted into a matrix of numerical features. An elastic-net regression model to predict 90-day mortality was trained using these features and evaluated by bootstrapping with 1000 resampled datasets.

Result

A total of 136,709 images from 274 cases were available for analysis with a mean of 503 per case. Mortality within 90 days occurred in 34 cases (12.4%) with an average NELA mortality prediction of 8.5%. On internal (bootstrap) validation, the elastic net model derived from CT yielded excellent performance (AUC 0.903 95%CI 0.897–0.909), significantly in excess of the NELA risk calculator (AUC 0.809 95%CI 0.736–0.875), with a broader prediction range (0.01%-89.71%).

Conclusion

Artificial intelligence techniques applied to routinely performed cross-sectional imaging predicts emergency laparotomy mortality with greater accuracy than clinical data alone. Integration of these automated tools may be possible in the future.

Take-home Message

Automated analysis of CT can accurately predict risk of mortality after emergency laparotomy.

O4 Neural network image capture to predict response of oesophageal adenocarcinoma to neoadjuvant therapy

Introduction

Locally advanced oesophageal adenocarcinoma is typically treated with neoadjuvant chemotherapy (NACT) or chemoradiotherapy (NACRT) followed by surgery. Significant benefit to neoadjuvant treatment however is confined to a minority of patients (<25%) and there are no reliable means of establishing prior to treatment in whom this benefit will occur. In this study, we assessed the utility of features extracted from high-resolution digital microscopy of pre-treatment biopsies in predicting response to neoadjuvant therapy in a machine-learning based modelling framework.

Method

A total of 102 cases were included in the study. Pre-treatment clinical information, including TNM staging, was obtained, along with diagnostic biopsies. Diagnostic biopsies were converted into high-resolution whole slide-images and features extracted using a pre-trained convolutional neural network (Xception). Elastic net regression models were then trained and validated with bootstrapping with 1000 resampled datasets. The response was considered according to Mandard tumour regression grade (TRG).

Result

There were 45 (44.1%) responders (TRG1-2) and 57 (57%) non-responders (TRG3-5) in the dataset. 34 patients (33.3%) received NACT and 68 (66.7%) received NACRT. A model trained with RNA-seq data achieved fair performance only in predicting response (AUC 0.598 95% CI 0.593–0.603), which was far exceeded by use of segmented diagnostic biopsy images (AUC 0.872 95% CI 0.869–0.875), which also produced well calibrated predictions of risk.

Conclusion

Despite using a small dataset, impressive performance in classifying response to neoadjuvant treatment can be achieved, particularly using automated image classification. Further study to refine the methodology is required before expansion to clinical settings.

Take-home Message

Response to neoadjuvant treatment for oesophageal cancer can be predicted from diagnostic biopsies

Prevalence of ESBL Encoding Genes in Acinetobacter baumannii Strains Isolated from Various Samples of a Tertiary Care Hospital in Mymensingh

The aim of this study was to find the prevalence of ESBL genes among A. baumannii isolates. In this cross sectional study, 49 Acinetobacter spp. were isolated from various clinical samples from March 2019 to February 2020 conducted in the department of Microbiology, Mymensingh Medical College, Mymensingh, Bangladesh. Clinical samples including endotracheal aspirates, wound swab/pus, urine and blood. A total of 380 samples were analyzed. Growth was obtained in 34.21% of the samples yielding 130 organisms. Out of 130 organisms, 49(37.69%) were Acinetobacter spp. Among 49 Acinetobacter spp, 39(79.59%) were Acinetobacter baumannii which was identified by PCR targeting OXA-51 like gene. Amplification of the ESBL encoding genes, namely CTX-M, TEM, SHV done by molecular technique PCR. The most antibacterial resistance was against ceftriaxone (79.48%) and lower resistance only showed in colistin (12.82%). All the isolates were sensitive to tigecycline. The distribution of ESBLs genes such as TEM 20(51.28%), CTX-M 16(41.02%) and SHV 0(0%). The high resistance to most of the antibiotics among the studied strains and also a high prevalence of TEM gene in A. baumannii strains found in our study gives alarming sign towards the treatment complexity of these strains.

677 Incidental Diagnosis of Metastatic Prostate Cancer by Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration (EBUS-TBNA) In the Absence of Pelvic Lymphadenopathy

Metastasis pattern of prostate cancer varies widely; however, predominant affinity is towards regional lymph nodes. Mediastinal lymphadenopathy as the initial presentation, in absence of any pelvic lymph node involvement, remains extremely rare. Most patients are incidentally diagnosed and often have widespread metastatic disease on confirmation of diagnosis. A high index of clinical suspicion is necessary and routine clinical examination such as a digital rectal examination (DRE) can aid in earlier diagnosis and prompt clinical intervention can improve disease outcome. We present this case study of a 53-year-old patient who was incidentally diagnosed with metastatic adenocarcinoma of prostatic origin by TBUS-EBNA of hilar lymph nodes in the absence of pelvic lymphadenopathy.

402 A Systematic Review and Meta-Analysis of Autologous vs Titanium Cranioplasty Implants

Aim: There is currently no gold standard reconstructive material for cranioplasty, with autologous and numerous synthetic materials currently in use. The emerging role of titanium due to its strength and biocompatibility has made it a good option. Titanium has been compared in numerous studies with autologous bone for cranioplasty however there is currently no meta-analysis within the literature to guide craniofacial surgeons on the optimal method.

Method

A systematic review and meta-analysis was performed as per the PRISMA guidelines and a search of electronic information was conducted to identify all randomised control trials and observational studies comparing autologous implants vs. titanium implants in cranioplasty following craniectomy. Re-operation rates and cosmesis were the primary outcome measures and incidence of complications such as bone resorption and infection were the secondary outcome measures.

Results

Six studies (n = 1909) were identified. Autologous cranioplasty using bone had a higher re-operation rate (p > 0.007), due to higher bone reabsorption seen in this group. There was no significant difference between the two groups in cosmetic outcome. Both had comparable infection rates (p > 0.18) and costs involved.

Conclusions

Titanium implants for cranioplasty offer lower re-operation rates compared to autologous based reconstruction without significantly increasing adverse outcomes such as post-operative infection rates or cost.

Accurate Determination of the Neutron Skin Thickness of ^{208}Pb through Parity-Violation in Electron Scattering

We report a precision measurement of the parity-violating asymmetry A_{PV} in the elastic scattering of longitudinally polarized electrons from ^{208}Pb. We measure A_{PV}=550±16(stat)±8(syst) parts per billion, leading to an extraction of the neutral weak form factor F_{W}(Q^{2}=0.00616  GeV^{2})=0.368±0.013. Combined with our previous measurement, the extracted neutron skin thickness is R_{n}-R_{p}=0.283±0.071  fm. The result also yields the first significant direct measurement of the interior weak density of ^{208}Pb: ρ_{W}^{0}=-0.0796±0.0036(exp)±0.0013(theo)  fm^{-3} leading to the interior baryon density ρ_{b}^{0}=0.1480±0.0036(exp)±0.0013(theo)  fm^{-3}. The measurement accurately constrains the density dependence of the symmetry energy of nuclear matter near saturation density, with implications for the size and composition of neutron stars.

O29: PREDICTING RESPONSE TO NEOADJUVANT THERAPY IN OESOPHAGEAL ADENOCARCINOMA PRE-TREATMENT BIOPSIES

Aims

We currently cannot predict which patients with locally advanced oesophageal adenocarcinoma will be amongst the 15-20% to gain a clinically important response to neoadjuvant therapy (NAT). This pilot study aimed to identify differentially expressed genes from oesophageal adenocarcinoma pre-treatment biopsies between responders and non-responders to NAT and develop methodology for predicting response.

Method

Response to NAT was assessed pathologically using Tumour Regression Grading (TRG). Pre-treatment formalin-fixed paraffin embedded samples were analysed with two nuclease protection assays (EdgeSeq, HTG = Oncology Biomarker Panel (OBP) and Precision Immuno-Oncology Panel (PIP)). Sequencing was performed on the NextSeq500 (Illumina).

Result

Whilst there was no difference in pre-treatment characteristics, responders (TRG1-2, n=26) had significantly better post-treatment pathology and overall survival than non-responders (TRG4-5, n=30). Genes up-regulated in responders were involved in regulating cell cycling, whereas genes up-regulated in non-responders were involved in cytokine signalling and the immune response. Neuronal artificial network models could predict response to NAT with overall accuracy of 73% and 68% for the OBP and PIP, respectively, which is promising considering the small sample size. As no model will be 100% accurate, we developed a model that could take patient's views into consideration with an adjustable probability threshold for classification.

Conclusion

This pilot study informs a biologically sound hypothesis for the basis of response to NAT and suggests prediction from pre-treatment biopsies may be possible using EdgeSeq. We now aim to validate these results in a larger study to inform a bespoke classifier of response to enable delivery of precision therapy.

Take-home message

In oesophageal adenocarcinoma, responders and non-responders to neoadjuvant therapy have different expression profiles. Through using EdgeSeq in larger studies, we may be able to predict which patients will respond to treatment, allowing for delivery of precision therapy.

Impact of blanching pretreatment on physicochemical properties, and drying characteristics of cabbage (Brassica oleracea)

Cabbage (Brassica oleracea) is popular winter vegetables cultivated all over Bangladesh and contains essential nutrients. This study aimed to evaluate the efficacy of pre-blanching on the preservation of cabbage by drying. In this research work, cabbage was blanched at 80°C, 90°C, and 100°C temperature for 12, 8, and 2 mins, respectively. Then the samples were dried at 60°C maintaining 60% relative humidity. The moisture and ash content of untreated and treated dried samples was in the range of 16.07±0.04 to 10.80±0.01% and 5.71±0.06 to 3.81±0.02%, respectively. The total phenolic content in cabbage was 74.47±0.63 mg GAE/100g at 100°C blanching temperature for a short time of 2 mins, which was higher compared to 61.91±0.48 mg GAE/100g at 80°C for 12 mins. It was observed that the antioxidant activity and two water-soluble vitamins-ascorbic acid and beta carotene decreased in pre-blanched dried samples in contrast with fresh ones. Blanching at higher water temperature and a short period was found useful for the retention of total phenolic content and greenness of cabbage. Blanching pre-treatments were also found to have better color retention capacity than untreated dried cabbage. A proper combination of drying time and temperature, along with the incorporation of blanching pretreatment, might be useful to preserve cabbage for a long time.

Detection of Antimicrobial Resistance Pattern and ESBL Production among Clinical Isolates of Salmonella Species in Mymensingh, Bangladesh

The occurrence of antimicrobial resistance in Salmonella enterica serovars (both typhoidal and non-typhoidal Salmonellae) is a major public health problem especially in developing countries, which have been associated with treatment failures. Therefore, the study was undertaken to determine the current antimicrobial resistance pattern and extended spectrum β-lactamase (ESBL) production among clinical isolates of Salmonella spp. during 2019-2020 in Mymensingh, Bangladesh. In this cross sectional study, 36 Salmonella enterica isolates were obtained from blood and stool culture of suspected 200 enteric fever and 100 gastroenteritis patients attending at Mymensingh Medical College Hospital, Mymensingh, Bangladesh. Isolated Salmonella species were identified by biochemical tests and Polymerase Chain Reaction (PCR). Disk diffusion test was performed by modified Kirby Bauer method. Minimum Inhibitory Concentration (MIC) of ceftriaxone was detected by agar dilution method. Double disk synergy test was used as a screening test for ESBL production. PCR was done for detection of blaTEM, blaSHV and blaCTX-MU genes. The isolates showed 25% resistance to Ceftriaxone and 58.3% to Azithromycin. The highest sensitivity rates were 88.9% to Meropenem and 83.3% to Amikacin. Whereas 6(16.7%) isolates were Multi Drug Resistant (MDR). Eight (8) isolates were confirmed as ESBL producer by DDST. The marked increase in MIC was observed between 8->512μg/ml to ceftriaxone. blaTEM, blaSHV and blaCTX-MU genes were detected in 3, 5 and 8 isolates respectively. In conclusion, the current study observed, higher level of resistance to ceftriaxone and azithromycin. At the same times 22.2% isolates showed ESBL production, which is a cause for concern as it may lead to treatment failure. On the other hand the study also showed the re-emergence of chloramphenicol and Sulfamethoxazole-Trimethoprim sensitivity.

Efficacy of magnetite (Fe3O4) nanoparticles for enhancing solid-state anaerobic co-digestion: Focus on reactor performance and retention time

The influence of magnetite nanoparticle (nFe₃O₄) concentrations (20, 50, and 75 mg/L) on reactor performance and retention time was investigated for the first time in an initially upset solid-state anaerobic batch (SSAB) reactor. nFe₃O₄ mitigated acidification threat, enhanced reactor stability, ensured rapid volatile fatty acids bioconversion, and modified microbial community. The impacts reduced retention time by 27 days relative to the control. Of the nFe₃O₄ concentrations, 20 mg/L had the highest hemicellulose degradation (93%) and methane yield (191.2 L/kg VS) with no threat to anaerobic microbes. Besides, existing kinetic models, novel models equally well-described methane yield with low root mean square errors (RMSE) < 1.2 and high coefficients of determination (R²) > 98%, therefore could be used for downstream applications. This study provides useful information on the impact of nFe₃O₄ on reactor stability and reactor performance in an initially upset SSAB reactor.

Characterization of the Aedes albopictus (Diptera: Culicidae) holobiome: bacterial composition across land use type and mosquito sex in Malaysia

Understanding the diversity and dynamics of the microbiota within the mosquito holobiome is of great importance to apprehend how the microbiota modulates various complex processes and interactions. This study examined the bacterial composition of Aedes albopictus across land use type and mosquito sex in the state of Selangor, Malaysia using 16S rRNA sequencing. The bacterial community structure in mosquitoes was found to be influenced by land use type and mosquito sex, with the environment and mosquito diet respectively identified to be the most likely sources of microbes. We found that approximately 70% of the microbiota samples were dominated by Wolbachia and removing Wolbachia from analyses revealed the relatively even composition of the remaining bacterial microbiota. Furthermore, microbial interaction network analysis highlighted the prevalence of co-exclusionary patterns in all networks regardless of land use and mosquito sex, with Wolbachia exhibiting co-exclusionary interactions with other residential bacteria such as Xanthomonas, Xenophilus and Zymobacter.

Predominance of Leptospira wolffii in north-central Bangladesh, 2019

Leptospira was detected in 48.9% of blood samples from 182 febrile patients in north-central Bangladesh in 2019. Most Leptospira were classified as L. wolffii (93%) on the basis of phylogenetic analysis of 16S ribosomal RNA genes, while others were assigned to L. borgpetersenii and L. meyeri.

Trajectories of sickness absence, disability pension and unemployment in young immigrants with common mental disorders

BACKGROUND

The aims were to elucidate if trajectories of labour market marginalization (LMM), measured as sickness absence (SA)/disability pension (DP) or unemployment, differed between young immigrants and natives before and after an incident diagnosis of a common mental disorder (CMD), and to investigate if educational level, psychiatric comorbidity and duration of residence in Sweden (in immigrants) had different associations with subsequent LMM in natives compared with immigrants.

METHODS

A total of 28 971 young adults (19-30 years), with an incident CMD (inpatient or specialized outpatient healthcare due to CMDs or dispensed prescribed antidepressants during 2007) were included. Group-based trajectory models were utilized to identify trajectories of annual months of LMM 3 years before and 6 years after the diagnosis. The associations of risk factors with different trajectories were investigated by multinomial logistic regression, χ2-test and Nagelkerke R2 to measure the associations' strength. Immigrants were categorized into Western and non-Western immigrants.

RESULTS

Young natives and immigrants showed similar trajectories of SA/DP. A higher proportion of non-Western immigrants (20.5%) followed trajectories of high levels of unemployment (>2 annual months) compared with Western immigrants (15%) and natives (16.5%). Educational level and duration of residence in Sweden (in immigrants) discriminated trajectories of both SA/DP and unemployment, whereas psychiatric comorbidity only discriminated trajectories of SA/DP.

CONCLUSIONS

Differences in trajectories of unemployment between young natives and immigrants with an incident CMD were found. Educational level and psychiatric comorbidity provided information on differences between natives and immigrants and duration of residence gave information for subgroups of immigrants.

Endoscopic versus conventional parotid gland excision: a systematic review and meta-analysis

The objective of this review was to conduct a systematic review and meta-analysis to compare endoscopic with conventional parotid tumour excision. Online databases including MEDLINE, EMBASE, EMCare, CINAHL, the Cochrane Central Register of Controlled Trials (CENTRAL), the World Health Organization International Clinical Trials Registry (ICTRP), and the ISRCTN registry were all searched. All randomised controlled trials and observational studies comparing endoscopic with conventional parotid tumour excision were included. Five studies were identified and analysis was reported in forest plots with 95% confidence intervals. Outcomes of interest included operating time, cosmesis, blood loss, facial nerve injury, Frey syndrome, duration of hospital stay, and tumour recurrence. Endoscopic tumour excision had a comparable operating time to conventional resection with an insignificant mean difference (p=0.08). Scar cosmesis in the endoscopic group was superior (mean difference: 2.95, p<0.05) and it also reported a lower volume of blood loss (mean difference: -31.84, p<0.05). No significant difference was found in the incidence of facial nerve injury or Frey syndrome between the two groups, but overall, fewer miscellaneous complications were observed in the endoscopic cohorts. Endoscopic parotid surgery reported a shorter duration of hospital stay, and tumour recurrence was similar in both treatment arms. Endoscopic parotid gland surgery is an effective alternative to conventional approaches with comparable operating times, reduced blood loss and fewer complications, as well as shorter inpatient stay and improved cosmesis. Further studies are, however, required with longer follow-up periods to assess outcomes between different subtypes of parotid tumour.

Mitochondrial disease in children

Mitochondrial disease presenting in childhood is characterized by clinical, biochemical and genetic complexity. Some children are affected by canonical syndromes, but the majority have nonclassical multisystemic disease presentations involving virtually any organ in the body. Each child has a unique constellation of clinical features and disease trajectory, leading to enormous challenges in diagnosis and management of these heterogeneous disorders. This review discusses the classical mitochondrial syndromes presenting most frequently in childhood and then presents an organ-based perspective including systems less frequently linked to mitochondrial disease, such as skin and hair abnormalities and immune dysfunction. An approach to diagnosis is then presented, encompassing clinical evaluation and biochemical, neuroimaging and genetic investigations, and emphasizing the problem of phenocopies. The impact of next-generation sequencing is discussed, together with the importance of functional validation of novel genetic variants never previously linked to mitochondrial disease. The review concludes with a brief discussion of currently available and emerging therapies. The field of mitochondrial medicine has made enormous strides in the last 30 years, with approaching 400 different genes across two genomes now linked to primary mitochondrial disease. However, many important questions remain unanswered, including the reasons for tissue specificity and variability of clinical presentation of individuals sharing identical gene defects, and a lack of disease-modifying therapies and biomarkers to monitor disease progression and/or response to treatment.

Impact of corn stover particle size and C/N ratio on reactor performance in solid-state anaerobic co-digestion with dairy manure

Green energy generation from agricultural waste has the potential to minimize dependency on fossil and reduce the resultant environmental impact of this fuel provided anaerobic reactor performance is optimized. Hence, the interactive impact of carbon to nitrogen (C/N) ratio, particle size, and co-digestion of dairy manure (DM) and corn stover (CS) on solid-state anaerobic digester (SSAD) performance was investigated with four treatments (DMCS24S, DMCS24L, DMCS28L, and DMCS32L) in this solid-state study. Novel scanning electron microscope (SEM) image analysis utilized to describe the corn stover using ImageJ indicated that corn stover of particle size 0.18-0.42 mm had lower rough surface texture relative to the 0.42-0.84 mm size. This observation not only influenced the ingestate degradation, the bioconversion rate was negatively affected by 0.18-0.42 mm particle size of corn stover. Notably, increase in C/N ratio led to decrease in total ammonia nitrogen (TAN) and alkalinity concentration (Alk), hence, treatments with the lowest C/N ratio had better reactor performance in terms of suitable process parameters such as Alk, pH, ORP, and TAN. Furthermore, DMCS24L treatment had the highest methane yield (106 mL/g VS) and net methane energy (2.92 MJ/kg). Interestingly, modified Gompertz model gave the best kinetic description of the methane production. This SSAD mesophilic study suggests that corn stover, with particle size of 0.42-0.84 mm, co-digested with dairy manure under a C/N ratio of 24 has the potential to enhance methane yield and optimize reactor performance.Implications: The utilization of agricultural waste for bioenergy generation through solid-state anaerobic digestion could be enhanced through the interactive impact of substrate particle size, carbon-to-nitrogen (C/N) ratio and co-digestion, which has not been previously studied. These ternary factors significantly improved reactor performance and enhanced methane yield when corn stover of 0.42-0.84 mm particle size was co-digested with dairy manure to achieve a C/N ratio of 24.

National Clinical Guidance for the Management of Cardiovascular Intervention in the COVID-19 Pandemic: From Bangladesh Society of Cardiovascular Interventions (BSCI)

Since the first recorded case of SARS-CoV-2 in Bangladesh on 8th March 2020, COVID-19 has spread widely through different regions of the country, resulting in a necessity to re-evaluate the delivery of cardiovascular services, particularly procedures pertaining to interventional cardiology in resource-limited settings. Given its robust capacity for human-to-human transmission and potential of being a nosocomial source of infection, the disease has specific implications on healthcare systems and health care professionals faced with performing essential cardiac procedures in patients with a suspected or confirmed diagnosis of COVID-19. The limited resources in terms of cardiac catheterization laboratories that can be designated to treat only COVID positive patients are further compounded by the additional challenges of unavailability of widespread rapid testing on-site at tertiary cardiac hospitals in Bangladesh. This document prepared for our nation by the Bangladesh Society of Cardiovascular Interventions (BSCI) is intended to serve as a clinical practice guideline for cardiovascular health care professionals, with a focus on modifying standard practice of care during the COVID-19 pandemic, in order to ensure continuation of adequate and timely treatment of cardiovascular emergencies avoiding hospital-based transmission of SARS-COV-2 among healthcare professionals and the patients. This is an evolving document based on currently available global data and is tailored to healthcare systems in Bangladesh with particular focus on, but not limited to, invasive cardiology facilities (cardiac catheterization, electrophysiology & pacing labs). This guideline is limited to the provision of cardiovascular care, and it is expected that specific targeted pharmaco-therapeutics against SARS-CoV-2 be prescribed as stipulated by the National Guidelines on Clinical Management of Corona virus Disease 2019 (COVID-19) published by the Director General of Health Services, Ministry of Health and Family Welfare of Bangladesh.

First reported cases of actinic folliculitis treated successfully with topical retinoid

Actinic folliculitis (AF) is a rare recurrent seasonal photodermatosis, relatively newly characterized by nonpruritic, monomorphic pustules and papules appearing 4-24 h after exposure to sunlight. Lesions usually affect the face but also appear on the upper chest and arms. Resolution normally occurs within 7-10 days with cessation of sunlight exposure. AF is resistant to standard treatments used for acne vulgaris and acne rosacea, with only oral retinoids previously being reported as effective. We report the first two cases, to our knowledge, of AF responding extremely effectively to a topical retinoid.