Initiation of Liver Transplantation in Bangladesh: Report on the First Two Successful Cases

Liver transplantation (LT) is the treatment of choice for patients with end-stage liver disease (ESLD). Chronic liver disease due to many causes is prevalent in a significant percentage of the Bangladeshi population. Until recently, liver transplantation facilities were not available, and ESLD patients were dying without treatment. Liver transplantation is a complex procedure that requires integrated and organized approach by a multidisciplinary team. The initiation of liver transplantation in Bangladesh has faced many difficulties. These difficulties have been encountered and overcome in phases. We have successfully performed the first two living-donor liver transplantations (LDLTs) in Bangladesh. The recipient of the first LDLT was a 42-year man with cryptogenic cirrhosis, and the second one was a male of 35 years, suffering from HBV cirrhosis. Both the recipients and donors are doing well and relishing the prospect of a normal life. These two successful liver transplantations are milestones in the development of liver transplantation services in Bangladesh

Public awareness of the coronary artery disease and its risk factors in the population of Hail region, Saudi Arabia: a cross-sectional study

Background: Coronary Artery Disease (CAD) is a severe cardiovascular complication prevalent in the Kingdom of Saudi Arabia. The risk factors of this disease are so high that it became one of the major causes of mortality among middle-aged individuals. This study aimed to investigate the degree of awareness about risk factors for CAD among the Hail region population.  Methods: The study was carried out in the Hail region, Saudi Arabia, from April 2020 to May 2020. Data collected from five hundred and thirty-seven participants participated through an online survey. The process of selection of participants was through volunteer testing and an online review poll that was disseminated to them to complete. No limitations on age or sex were applied to the surveys.Results: Awareness of TV watching (88.5%), smoking (87.9%), lack of physical activities (78.4%) and family history of CAD (74.7%) as the leading cause of CAD has a notable higher percentage among the studied population whereas the family history of diabetes mellitus (51.6%), having diabetes mellitus (57.7%), family history of hypertension (65.7%) and family history of hyperlipidemia (69.1%) have the lowest percentages. Regarding the gender, the male participants have the poorest awareness degrees about risk factors for the CAD.Conclusion: The study revealed that the family history of hyperlipidemia, Family history of DM, having DM and family history of hypertension have the poorest degrees of awareness of the risk factors for CAD among the studied population.Keywords: Coronary artery disease; Risk factors; Awareness; Hail regio

Search for leptophobic Z ' bosons decaying into four-lepton final states in proton-proton collisions at root s=8 TeV

Peer reviewe

Search for black holes and other new phenomena in high-multiplicity final states in proton-proton collisions at root s=13 TeV

Peer reviewe

Search for heavy resonances decaying into a vector boson and a Higgs boson in final states with charged leptons, neutrinos, and b quarks

Peer reviewe

Search for high-mass diphoton resonances in proton-proton collisions at 13 TeV and combination with 8 TeV search

Peer reviewe

Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry.

BACKGROUND: The Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. METHODS AND RESULTS: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012-2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P < 0.001). Diabetes and coronary artery disease (CAD) were prevalent in 36.2% and 28.1% of patients as compared with global prevalence of 22.2% and 21.6%, respectively (P < 0.001 for both). Antiplatelet therapy was the most common antithrombotic treatment in India. With increasing stroke risk, however, patients were more likely to receive oral anticoagulant therapy [mainly vitamin K antagonist (VKA)], but average international normalized ratio (INR) was lower among Indian patients [median INR value 1.6 (interquartile range {IQR}: 1.3-2.3) versus 2.3 (IQR 1.8-2.8) (P < 0.001)]. Compared with other countries, patients from India had markedly higher rates of all-cause mortality [7.68 per 100 person-years (95% confidence interval 6.32-9.35) vs 4.34 (4.16-4.53), P < 0.0001], while rates of stroke/systemic embolism and major bleeding were lower after 1 year of follow-up. CONCLUSION: Compared to previously published registries from India, the GARFIELD-AF registry describes clinical profiles and outcomes in Indian patients with AF of a different etiology. The registry data show that compared to the rest of the world, Indian AF patients are younger in age and have more diabetes and CAD. Patients with a higher stroke risk are more likely to receive anticoagulation therapy with VKA but are underdosed compared with the global average in the GARFIELD-AF. CLINICAL TRIAL REGISTRATION-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01090362

Performance of reconstruction and identification of τ leptons decaying to hadrons and vτ in pp collisions at √s=13 TeV

The algorithm developed by the CMS Collaboration to reconstruct and identify τ leptons produced in proton-proton collisions at √s=7 and 8 TeV, via their decays to hadrons and a neutrino, has been significantly improved. The changes include a revised reconstruction of π⁰ candidates, and improvements in multivariate discriminants to separate τ leptons from jets and electrons. The algorithm is extended to reconstruct τ leptons in highly Lorentz-boosted pair production, and in the high-level trigger. The performance of the algorithm is studied using proton-proton collisions recorded during 2016 at √s=13 TeV, corresponding to an integrated luminosity of 35.9 fb¯¹. The performance is evaluated in terms of the efficiency for a genuine τ lepton to pass the identification criteria and of the probabilities for jets, electrons, and muons to be misidentified as τ leptons. The results are found to be very close to those expected from Monte Carlo simulation