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Comparisons between observed and predicted strong lensing properties of galaxy clusters have been routinely used to claim either tension or consistency with Λ cold dark matter cosmology. However, standard approaches to such cosmological tests are unable to quantify the preference for one cosmology over another.We advocate approximating the relevant Bayes factor using amarginal likelihood that is based on the following summary statistic: the posterior probability distribution function for the parameters of the scaling relation between Einstein radii and cluster mass, α and β. We demonstrate, for the first time, a method of estimating the marginal likelihood using the X-ray selected z > 0.5 Massive Cluster Survey clusters as a case in point and employing both N-body and hydrodynamic simulations of clusters. We investigate the uncertainty in this estimate and consequential ability to compare competing cosmologies, which arises from incomplete descriptions of baryonic processes, discrepancies in cluster selection criteria, redshift distribution and dynamical state. The relation between triaxial cluster masses at various overdensities provides a promising alternative to the strong lensing test. [ABSTRACT FROM AUTHOR]

ABSTRACT High-redshift sources suffer from magnification or demagnification due to weak gravitational lensing by large-scale structure. One consequence of this is that the distance-redshift relation, in wide use for cosmological tests, suffers lensing-induced scatter which can be quantified by the magnification probability distribution. Predicting this distribution generally requires a method for ray tracing through cosmological N-body simulations. However, standard methods tend to apply the multiple-thin-lens approximation. In an effort to quantify the accuracy of these methods, we develop an innovative code that performs ray tracing without the use of this approximation. The efficiency and accuracy of this computationally challenging approach can be improved by careful choices of numerical parameters; therefore, the results are analysed for the behaviour of the ray-tracing code in the vicinity of Schwarzschild and Navarro-Frenk-White lenses. Preliminary comparisons are drawn with the multiple-lens-plane ray-bundle method in the context of cosmological mass distributions for a source redshift of zs= 0.5. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to genotype two previously identified SNPs (rs1048661:R141L, and rs3825942:G153D) in the lysyl oxidase-like 1 (LOXL1) gene and determine their association with pseudoexfoliation glaucoma (XFG) in patients from Pune, India., Methods: All subjects underwent detailed phenotyping, and DNA extraction was performed on blood samples by using standardized techniques. Exon 1 of the LOXL1 gene containing the SNPs (rs3825942:G153D; rs1048661:R141L) were Sanger sequenced, and the results were analyzed using sequence analysis software SeqScape 2.1.1., Results: Data were analyzed from 71 patients with XFG and 81 disease-negative, age-matched controls. There was a strong association between the G allele of rs3825942 and XFG with an odds ratio of 10.2 (CI: 3.92-26.6; P < 0.001). The G allele of rs1048661 also showed an increase in risk relative to the T allele (OR = 1.49; CI: 0.88-2.51; P = 0.13), but this was not significant. Haplotype combination frequencies were estimated for rs1048661 and rs3825942; the GG haplotype was associated with a significant increase in risk (OR = 3.91; CI: 2.27-6.73; P < 0.001). Both the GA and TG haplotypes were associated with decreased XFG risk, although the latter was not significant (GA: OR = 0.08; CI: 0.03-0.21; P < 0.001; TG: OR = 0.67; CI: 0.40-1.13; P = 0.13)., Conclusion: The risk G allele in rs3852942 (G153D) is strongly associated with the development of XFG in the Western Indian population. Genetic screening strategies to identify LOXL1 risk alleles in the population can assist in case definition and early diagnosis, targeting precious resources to high-risk patients., Competing Interests: None

In the state of Karnataka, India, the first case of coronavirus disease (COVID-19) was diagnosed on March 9, 2020. As stated by the WHO, around 15% of COVID-19 patients require treatment in the Intensive Care Unit (ICU). Keeping this in mind, along with the increase in COVID-19 patients in Karnataka, it was predicted that the prevailing general wards and ICUs would be overburdened with the added non-COVID-19 diseases and infirmities. Hence, it was decided to set up a separate infrastructure to reduce the chances of transmission among the patients within the hospital. Thus, the board at SDM College of Medical Sciences & Hospital, Dharwad, Karnataka, took the responsibility to establish a fully equipped 100-bedded hospital in its premise as part of the national and state services to combat the outbreak. The aim of the study was to establish an isolated, fully functional hospital, equipped with all necessary diagnostic and critical care facilities to treat patients diagnosed with COVID-19 in North Karnataka, India.

Objective: This study was conducted to assess the feasibility of extended use of N95 masks in our hospital during the coronavirus disease 2019 (COVID-19) pandemic. We also studied the use pattern, user satisfaction, and issues faced during extended use of the mask., Methods: This cross-sectional study was conducted among health-care providers in a large tertiary care teaching hospital in northern India from April 1 to May 31, 2020. A list was prepared from the institute's register, and participants were chosen by random sampling. The data collected from the physical forms were transferred to excel sheets., Results: A total of 1121 responses were received. The most common problem stated with reuse of N95 masks was loss of fit followed by damage to the slings, highlighted by 44.6% and 44.4% of the participants, respectively. A total of 476 (42.5%) participants responded that they would prefer "cup-shaped N95 mask with respirator". The median scores regarding the satisfaction with the quality of masks and their fit was also 4 each., Conclusions: It was concluded that the extended use of N95 masks was acceptable, with more than 96% of the participants using these masks.

Purpose: The aim of this study was to perform a retrospective review of the outcome of silicon intubation using the Ritleng probe and a modified braided silk suture (Ethicon Sutupak) fixed in a silicone tube in children with congenital nasolacrimal duct obstruction (CNLDO)., Methods: Records of all children between 1 and 12 years of age who underwent silicone tube intubation with the Ritleng probe and Ethicon Sutupak suture (2-0) fixed in silicone tube for CNLDO with a minimum of 1-year follow-up were identified. The hollow Ritleng probe was inserted via the canaliculus into the inferior meatus. The Sutupak thread-guide, attached to the silicone tube, was advanced through the probe lumen and retrieved using a hook under endoscopic visualization. The tube ends were tied to each other and tube removal was planned after 3 months. Absence of watering, discharge, and matted lashes after removal of silicone tube was defined as success., Results: One hundred and fifty-two eyes of 152 children with a mean age of 3.26 ± 2.3 years were included in the study. The procedure was successful in 145 eyes (95%) after removal of the silicone intubation with relief of symptoms observed in most patients by fifth-day follow-up (n = 120 eyes, 83%). The mean duration of follow-up was 3.48 ± 1.3 years. No other significant differences were observed between patients who did (n = 47) and did not (n = 105) have previous probing including success rates (95% vs. 96%, P = 0.89)., Conclusion: Silicone intubation with Ritleng probe and Sutupak suture fixed in silicone tube was successful in resolution of symptoms of CNLDO in majority of patients. Using a low-cost suture did not affect success rates.

Background: Laparoscopic cholecystectomy (LC) in complicated acute calculus cholecystitis (ACC) poses multiple challenges. This prospective, observational study assessed the utility and safety of a set protocol and intraoperative steps in LC for complex ACC., Methods: All cases of ACC from 2008 to 2018 were graded as per Tokyo guidelines; moderate and severe ACC were termed as 'complex ACC (CACC).' Patients were subjected to upfront LC or percutaneous drainage (PCD) followed by LC. Seven intraoperative safety steps were used to achieve critical view of safety (CVS). Use of safety steps, duration of surgery, and length of hospital stay were compared between moderate and severe ACC; complications were classified using Clavien-Dindo classification., Results: We analyzed 145 patients with moderate (74.5%) and severe (25.5%) ACC. There were significantly more male (p = 0.0059) and older (p = 0.0006) patients with severe ACC. Upfront LC was performed in 81.4%; PCD required in 6.9%. Timing of LC from symptom onset was < 1 week (53.1%), 2-5 weeks (28.3%), and ≥ 6 weeks (18.6%). CVS was achieved in 97.2%, subtotal cholecystectomy performed in 2.8%, conversion rate was 1.4%, major postoperative complications (Clavien-Dindo Grade IIIa and IIIb) were seen in 4.1%, no bile duct injury, and mortality was 0.7%. The outcomes were similar irrespective of timing of intervention., Conclusion: The study concludes that preoperative assessment by Tokyo guidelines, algorithmic plan of treatment and use of intraoperative safety steps results in favorable outcome of LC in ACC.

Importance: The large contribution of psychiatric disorders to premature death and persistent disability among young people means that earlier identification and enhanced long-term care for those who are most at risk of developing life-threatening or chronic disorders is critical. Clinical staging as an adjunct to diagnosis to address emerging psychiatric disorders has been proposed for young people presenting for care; however, the longer-term utility of this system has not been established., Objectives: To determine the rates of transition from earlier to later stages of anxiety, mood, psychotic, or comorbid disorders and to identify the demographic and clinical characteristics that are associated with the time course of these transitions., Design, Setting, and Participants: A longitudinal, observational study of 2254 persons aged 12 to 25 years who obtained mental health care at 2 early intervention mental health services in Sydney, Australia, and were recruited to a research register between June 18, 2008, and July 24, 2018 (the Brain and Mind Centre Optymise Cohort)., Main Outcomes and Measures: The primary outcome of this study was transition from earlier to later clinical stages. A multistate Markov model was used to examine demographic (ie, age, sex, engagement in education, employment, or both) and clinical (ie, social and occupational function, clinical presentation, personal history of mental illness, physical health comorbidities, treatment use, self-harm, suicidal thoughts and behaviors) factors associated with these transitions., Results: Of the 2254 individuals included in the study, mean (SD) age at baseline was 18.18 (3.33) years and 1330 (59.0%) were female. Data on race/ethnicity were not available. Median (interquartile range) follow-up was 14 (5-33) months. Of 685 participants at stage 1a (nonspecific symptoms), 253 (36.9%) transitioned to stage 1b (attenuated syndromes). Transition was associated with lower social functioning (hazard ratio [HR], 0.77; 95% CI, 0.66-0.90), engagement with education, employment, or both (HR, 0.47; 95% CI, 0.25-0.91), manic-like experiences (HR, 2.12; 95% CI, 1.19-3.78), psychotic-like experiences (HR, 2.13; 95% CI, 1.38-3.28), self-harm (HR, 1.42; 95% CI, 1.01-1.99), and older age (HR, 1.27; 95% CI, 1.11-1.45). Of 1370 stage 1b participants, 176 (12.8%) transitioned to stage 2 (full-threshold) disorders. Transition was associated with psychotic-like experiences (HR, 2.31; 95% CI, 1.65-3.23), circadian disturbance (HR, 1.66; 95% CI, 1.17-2.35), psychiatric medication (HR, 1.43; 95% CI, 1.03-1.99), childhood psychiatric disorder (HR, 1.62; 95% CI, 1.03-2.54), and older age (HR, 1.24; 95% CI, 1.05-1.45)., Conclusions and Relevance: Differential rates of progression from earlier to later stages of anxiety, mood, psychotic, or comorbid disorders were observed in young persons who presented for care at various stages. Understanding the rate and factors associated with transition assists planning of stage-specific clinical interventions and secondary prevention trials.

It has been highlighted that the original manuscript [1] contains a typesetting error in the name of Meera Shekar. This had been incorrectly captured as Meera Shekhar in the original article which has since been updated.

Background: Child stunting due to chronic malnutrition is a major problem in low- and middle-income countries due, in part, to inadequate nutrition-related practices and insufficient access to services. Limited budgets for nutritional interventions mean that available resources must be targeted in the most cost-effective manner to have the greatest impact. Quantitative tools can help guide budget allocation decisions., Methods: The Optima approach is an established framework to conduct resource allocation optimization analyses. We applied this approach to develop a new tool, 'Optima Nutrition', for conducting allocative efficiency analyses that address childhood stunting. At the core of the Optima approach is an epidemiological model for assessing the burden of disease; we use an adapted version of the Lives Saved Tool (LiST). Six nutritional interventions have been included in the first release of the tool: antenatal micronutrient supplementation, balanced energy-protein supplementation, exclusive breastfeeding promotion, promotion of improved infant and young child feeding (IYCF) practices, public provision of complementary foods, and vitamin A supplementation. To demonstrate the use of this tool, we applied it to evaluate the optimal allocation of resources in 7 districts in Bangladesh, using both publicly available data (such as through DHS) and data from a complementary costing study., Results: Optima Nutrition can be used to estimate how to target resources to improve nutrition outcomes. Specifically, for the Bangladesh example, despite only limited nutrition-related funding available (an estimated $0.75 per person in need per year), even without any extra resources, better targeting of investments in nutrition programming could increase the cumulative number of children living without stunting by 1.3 million (an extra 5%) by 2030 compared to the current resource allocation. To minimize stunting, priority interventions should include promotion of improved IYCF practices as well as vitamin A supplementation. Once these programs are adequately funded, the public provision of complementary foods should be funded as the next priority. Programmatic efforts should give greatest emphasis to the regions of Dhaka and Chittagong, which have the greatest number of stunted children., Conclusions: A resource optimization tool can provide important guidance for targeting nutrition investments to achieve greater impact.

Background: The high burden of malaria and limited funding means there is a necessity to maximize the allocative efficiency of malaria control programmes. Quantitative tools are urgently needed to guide budget allocation decisions., Methods: A geospatial epidemic model was coupled with costing data and an optimization algorithm to estimate the optimal allocation of budgeted and projected funds across all malaria intervention approaches. Interventions included long-lasting insecticide-treated nets (LLINs), indoor residual spraying (IRS), intermittent presumptive treatment during pregnancy (IPTp), seasonal mass chemoprevention in children (SMC), larval source management (LSM), mass drug administration (MDA), and behavioural change communication (BCC). The model was applied to six geopolitical regions of Nigeria in isolation and also the nation as a whole to minimize incidence and malaria-attributable mortality., Results: Allocative efficiency gains could avert approximately 84,000 deaths or 15.7 million cases of malaria in Nigeria over 5 years. With an additional US$300 million available, approximately 134,000 deaths or 37.3 million cases of malaria could be prevented over 5 years. Priority funding should go to LLINs, IPTp and BCC programmes, and SMC should be expanded in seasonal areas. To minimize mortality, treatment expansion is critical and prioritized over some LLIN funding, while to minimize incidence, LLIN funding remained a priority. For areas with lower rainfall, LSM is prioritized over IRS but MDA is not recommended unless all other programmes are established., Conclusions: Substantial reductions in malaria morbidity and mortality can be made by optimal targeting of investments to the right malaria interventions in the right areas.