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The superiority of drug-eluting stents (DES) compared with bare-metal stents (BMS) is well-established, but data regarding DES use in ST-elevation myocardial infarction (STEMI) as a function of race is limited. Our goal was to examine stent utilization patterns and disparities based on race, sex, and insurance status in patients with STEMI undergoing percutaneous coronary intervention. The National Inpatient Sample database was used to retrospectively compare DES vs BMS use in patients admitted with STEMI from 2009 to 2018. Multivariable logistic regression was performed to assess the independent predictors of DES use. DES utilization increased significantly from 62.8% in 2009 to 94.0% in 2018. However, African Americans were less likely to receive a DES (odds ratio [OR] .82, 95% confidence interval [CI] .77–.87) compared with Caucasians. Women were more likely to undergo DES implantation (OR 1.07, 95% CI 1.05–1.10). Patients insured by Medicaid (OR .84, 95% CI .80–.89) and those classified as Self-pay (OR .63, 95% CI .61–.66) were less likely to undergo DES implantation compared to those with private insurance (OR 1.33, 95% CI 1.29–1.38). Disparities based on race and insurance status continue to persist despite a significant increase in DES utilization in STEMI patients across the identified subgroups.

Multiple visits are needed to achieve euthyroidism on levothyroxine in newly detected primary hypothyroidism. We aimed to develop a levothyroxine dose estimation algorithm for primary hypothyroidism. Adults with newly diagnosed hypothyroidism were enrolled prospectively, first in the training cohort, followed by the validation cohort separated by time and person. We developed a predictive algorithm from Training Cohort and validated the model in Validation Cohort. Training Cohort: In this cohort, 358 subjects (259 women and 99 men) were enrolled. The median duration needed to achieve euthyroidism was 4±0.5 months. The mean levothyroxine daily dose was 60.5±34.1 μg. Data of euthyroid subjects within 6 months of treatment initiation and age range 18-65 years were used for algorithm development. In the multivariable linear regression algorithm, pretreatment serum thyrotropin level, and sex formed the best-fit predictive model (adjusted RMultiple visits are needed to achieve euthyroidism on levothyroxine in newly detected primary hypothyroidism. We aimed to develop a levothyroxine dose estimation algorithm for primary hypothyroidism. Adults with newly diagnosed hypothyroidism were enrolled prospectively, first in the training cohort, followed by the validation cohort separated by time and person. We developed a predictive algorithm from Training Cohort and validated the model in Validation Cohort. Training Cohort: In this cohort, 358 subjects (259 women and 99 men) were enrolled. The median duration needed to achieve euthyroidism was 4±0.5 months. The mean levothyroxine daily dose was 60.5±34.1 μg. Data of euthyroid subjects within 6 months of treatment initiation and age range 18–65 years were used for algorithm development. In the multivariable linear regression algorithm, pretreatment serum thyrotropin level, and sex formed the best-fit predictive model (adjusted R

A general numerical framework is designed for the two-dimensional convection–diffusion–reaction (CDR) system. The compatibility of differential quadrature and finite difference methods (FDM) are utilized for the formulation. The idea is to switch one numerical scheme to another numerical scheme without changing the formulation. The only requirement is to input the weighting coefficients associated with the derivative discretizations to the general algorithm. Three numerical schemes comprising combinations of differential quadrature and FDMs are studied using the general algorithm. Properties of numerical schemes and the algorithm are analyzed by using the simulations of two-dimensional linear CDR system, Burgers’ equation, and Brusselator model.

The experiment was carried out at horticultural research farm of BTC CARS, Bilaspur during Rabi 2019-20. The outcomes revealed that the seasonal incidence of thrips (Scirtothrips dorsalis Linn.) on chilli crop was first noticed on fourth week of November 2019 (47th SMW) and reached to its peak population (20.2 thrips/plant) during the second week of April (15th SMW). The results revealed that the significant positive correlation with maximum (r = 0.689), minimum temperature (r = 0.690) and sunshine hours (r = 0.414) while significant negative correlation with morning relative humidity (r = -0.645) was observed with the thrips population.

The Keller box method is applied to the one-phase moving boundary problem with moving phase change material, size-dependent thermal conductivity, and periodic boundary conditions. The phase transition process is allowed to occur when the material is forced to move in one direction or the other at a constant speed. The boundary immobilization method is applied to immobilize the moving boundary, and for the numerical approximation of moving boundary problem, we proposed Keller box method. Keller box method also accommodates the non-linearity in thermal conductivity and Stefan condition. Using the convergence analysis, the proposed scheme obtains stability, as well as second-order accuracy for both spatial and temporal directions, under reasonable conditions. To validate the proposed numerical scheme, we have considered a particular case of this problem having a similarity solution. It is found that the numerical results obtained by the Keller box method have good agreement with the similarity solution and also verified that the computational rate of convergence of our scheme is two. The effects of various parameters and size-dependent thermal conductivity on the position of moving boundary are also investigated.

Background As India already missed maternal and child health related millennium development goals, the maternal and child health outcomes are a matter of concern to achieve sustainable development goals (SDGs). This study is focused to assess the gap in coverage and inequality of various reproductive, maternal, neonatal and child health (RMNCH) indicators in 640 districts of India, using data from most recent round of National Family Health Survey. Methods A composite index named Coverage Gap Index (CGI) was calculated, as the weighted average of eight preventive maternal and child care interventions at different administrative levels. Bivariate and spatial analysis were used to understand the geographical diversity and spatial clustering in districts of India. A socio-economic development index (SDI) was also derived and used to assess the interlinkages between CGI and development. The ratio method was used to assess the socio-economic inequality in CGI and its component at the national level. Results The average national CGI was 26.23% with the lowest in Kerala (10.48%) and highest in Nagaland (55.07%). Almost half of the Indian districts had CGI above the national average and mainly concentrated in high focus states and north-eastern part. From the geospatial analysis of CGI, 122 districts formed hotspots and 164 districts were in cold spot. The poorest households had 2.5 times higher CGI in comparison to the richest households and rural households have 1.5 times higher CGI as compared to urban households. Conclusion Evidence from the study suggests that many districts in India are lagging in terms of CGI and prioritize to achieve the desired level of maternal and child health outcomes. Efforts are needed to reduce the CGI among the poorest and rural resident which may curtail the inequality.

Background Despite large reductions in under-5 lower respiratory infection (LRI) mortality in many locations, the pace of progress for LRIs has generally lagged behind that of other childhood infectious diseases. To better inform programmes and policies focused on preventing and treating LRIs, we assessed the contributions and patterns of risk factor attribution, intervention coverage, and sociodemographic development in 195 countries and territories by drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) LRI estimates. Methods We used four strategies to model LRI burden: the mortality due to LRIs was modelled using vital registration data, demographic surveillance data, and verbal autopsy data in a predictive ensemble modelling tool; the incidence of LRIs was modelled using population representative surveys, health-care utilisation data, and scientific literature in a compartmental meta-regression tool; the attribution of risk factors for LRI mortality was modelled in a counterfactual framework; and trends in LRI mortality were analysed applying changes in exposure to risk factors over time. In GBD, infectious disease mortality, including that due to LRI, is among HIV-negative individuals. We categorised locations based on their burden in 1990 to make comparisons in the changing burden between 1990 and 2017 and evaluate the relative percent change in mortality rate, incidence, and risk factor exposure to explain differences in the health loss associated with LRIs among children younger than 5 years. Findings In 2017, LRIs caused 808 920 deaths (95% uncertainty interval 747 286–873 591) in children younger than 5 years. Since 1990, there has been a substantial decrease in the number of deaths (from 2 337 538 to 808 920 deaths; 65·4% decrease, 61·5–68·5) and in mortality rate (from 362·7 deaths [330·1–392·0] per 100 000 children to 118·9 deaths [109·8–128·3] per 100 000 children; 67·2% decrease, 63·5–70·1). LRI incidence declined globally (32·4% decrease, 27·2–37·5). The percent change in under-5 mortality rate and incidence has varied across locations. Among the risk factors assessed in this study, those responsible for the greatest decrease in under-5 LRI mortality between 1990 and 2017 were increased coverage of vaccination against Haemophilus influenza type b (11·4% decrease, 0·0–24·5), increased pneumococcal vaccine coverage (6·3% decrease, 6·1–6·3), and reductions in household air pollution (8·4%, 6·8–9·2). Interpretation Our findings show that there have been substantial but uneven declines in LRI mortality among countries between 1990 and 2017. Although improvements in indicators of sociodemographic development could explain some of these trends, changes in exposure to modifiable risk factors are related to the rates of decline in LRI mortality. No single intervention would universally accelerate reductions in health loss associated with LRIs in all settings, but emphasising the most dominant risk factors, particularly in countries with high case fatality, can contribute to the reduction of preventable deaths. Funding Bill & Melinda Gates Foundation.

Today industries related to finance are essentially implementing advanced mathematical tools. In 1973, Fisher Black and Myron Scholes developed an eminent stochastic model which later coined as Black-Scholes differential equations for option pricing. This paper illustrates a convenient time integration scheme based on the generalized trapezoidal formulas (GTF $[\alpha = \frac{1}{3}]$) introduced by Chawla et al. in 1996. GTF is applied for the temporal discretization along with the classical finite difference schemes in space direction. The proposed scheme yields the (uniform) stability employing the uniform bound of the inverse operator, as well as second-order spatial accuracy and third-order temporal accuracy under reasonable conditions. Finally, the numerical illustrations and comparison with existing schemes demonstrate the stability and accuracy of the method.

In this article, the polynomial based differential quadrature method is used to develop a numerical scheme for solving convection–diffusion–reaction model with a general reaction term. The ...

In this paper, a numerical technique is proposed to solve a two-dimensional coupled Burgers’ equation. The two-dimensional Cole–Hopf transformation is applied to convert the nonlinear coupled Burgers’ equation into a two-dimensional linear diffusion equation with Neumann boundary conditions. The diffusion equation with Neumann boundary conditions is semi-discretized using MOL in both x and y directions. This process yielded the system of ordinary differential equations in the time variable. Multistep methods namely backward differentiation formulas of order one, two and three are employed to solve the ode system. Efficiency and accuracy of the proposed methods are verified through numerical experiments. The proposed schemes are simple, accurate, efficient and easy to implement.

BACKGROUND: Brain and CNS cancers (collectively referred to as CNS cancers) are a source of mortality and morbidity for which diagnosis and treatment require extensive resource allocation and sophisticated diagnostic and therapeutic technology. Previous epidemiological studies are limited to specific geographical regions or time periods, making them difficult to compare on a global scale. In this analysis, we aimed to provide a comparable and comprehensive estimation of the global burden of brain cancer between 1990 and 2016. METHODS: We report means and 95% uncertainty intervals (UIs) for incidence, mortality, and disability-adjusted life-years (DALYs) estimates for CNS cancers (according to the International Classification of Diseases tenth revision: malignant neoplasm of meninges, malignant neoplasm of brain, and malignant neoplasm of spinal cord, cranial nerves, and other parts of CNS) from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016. Data sources include vital registration and cancer registry data. Mortality was modelled using an ensemble model approach. Incidence was estimated by dividing the final mortality estimates by mortality to incidence ratios. DALYs were estimated by summing years of life lost and years lived with disability. Locations were grouped into quintiles based on the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. FINDINGS: In 2016, there were 330 000 (95% UI 299 000 to 349 000) incident cases of CNS cancer and 227 000 (205 000 to 241 000) deaths globally, and age-standardised incidence rates of CNS cancer increased globally by 17·3% (95% UI 11·4 to 26·9) between 1990 and 2016 (2016 age-standardised incidence rate 4·63 per 100 000 person-years [4·17 to 4·90]). The highest age-standardised incidence rate was in the highest quintile of SDI (6·91 [5·71 to 7·53]). Age-standardised incidence rates increased with each SDI quintile. East Asia was the region with the most incident cases of CNS cancer for both sexes in 2016 (108 000 [95% UI 98 000 to 122 000]), followed by western Europe (49 000 [37 000 to 54 000]), and south Asia (31 000 [29 000 to 37 000]). The top three countries with the highest number of incident cases were China, the USA, and India. CNS cancer was responsible for 7·7 million (95% UI 6·9 to 8·3) DALYs globally, a non-significant change in age-standardised DALY rate of -10·0% (-16·4 to 2·6) between 1990 and 2016. The age-standardised DALY rate decreased in the high SDI quintile (-10·0% [-27·1 to -0·1]) and high-middle SDI quintile (-10·5% [-18·4 to -1·4]) over time but increased in the low SDI quintile (22·5% [11·2 to 50·5]). INTERPRETATION: CNS cancer is responsible for substantial morbidity and mortality worldwide, and incidence increased between 1990 and 2016. Significant geographical and regional variation in the incidence of CNS cancer might be reflective of differences in diagnoses and reporting practices or unknown environmental and genetic risk factors. Future efforts are needed to analyse CNS cancer burden by subtype. FUNDING: Bill & Melinda Gates Foundation. Bill & Melinda Gates Foundation Sí

Background: Endoscopy within 24 hours of admission (early endoscopy) is a quality standard in acute upper gastrointestinal bleeding (AUGIB). We aimed to audit time to endoscopy outcomes and identify factors affecting delayed endoscopy (>24h of admission). Methods: This prospective multicentre audit enrolled patients admitted with AUGIB who underwent inpatient endoscopy between Nov-Dec 2017. Analyses were performed to identify factors associated with delayed endoscopy, and to compare patient outcomes, including length of stay and mortality rates, between early and delayed endoscopy groups. Results: Across 348 patients from 20 centres, the median time to endoscopy was 21.2h (IQR 12.0- 35.7), comprising median admission to referral and referral to endoscopy times of 8.1h (IQR 3.7- 18.1) and 6.7h (IQR 3.0-23.1) respectively. Early endoscopy was achieved in 58.9%, although this varied by centre (range: 31.0% - 87.5%, p=0.002). On multivariable analysis, lower Glasgow-Blatchford score, delayed referral, admissions between 7am-7pm or via the Emergency Department were independent predictors of delayed endoscopy. Early endoscopy was associated with reduced length of stay (median difference 1d; p= 0.004), but not 30-day mortality (p=0.344). Conclusions: The majority of centres did not meet national standards for time to endoscopy. Strategic initiatives involving acute care services may be necessary to improve this outcome.

CKD-EPI (chronic kidney disease-epidemiological) serum creatinine equation is widely accepted for calculating estimated glomerular filtration rate (eGFR). The effect of transitioning from the older 2009 to the newer race-independent 2021 CKD-EPI equation on the estimated kidney disease burden (eKDB) was studied in an Asian-Indian population.The study included 1156 adults, the two equations were compared for agreement (Bland-Altman and Cohen's kappa) and concordance (Lin's correlation and test for proportions).The 2021 CKD-EPI increased the eGFR (positive-bias), independent of age-group, gender or presence of type 2 diabetes mellitus (T2DM) and hypertension (HTN). Thus, the eKDB was significantly decreased by 2021 CKD-EPI equation. The agreement was highest for the age-group 31-40 years (95.8 % versus 87.5 % for 50 years). Besides, the eGFR category was shifted from G3 to G1 in 8.2 % (95 % CI: 6.8-9.9) individuals by 2021 CKD-EPI. The effect of transition on eKDB was greater in individuals 50 years (7.4 %) or with HTN (6.3 %).In comparison to the old equation, the 2021 CKD-EPI equation increased the eGFR, lowering the eKDB in this Asian-Indian cohort. The degree of lowering was affected by age-group, and presence of T2DM /HTN, but independent of gender.

Percutaneous endoscopic gastrostomy (PEG) is a common procedure for an unsafe swallow or inability to maintain oral nutrition. When a PEG tube needs replacement, a balloon gastrostomy tube is usually placed through the same, well formed and mature tract without endoscopy. We present a patient with a rare complication related to the balloon gastrostomy tube, to raise awareness and minimise the risk of this complication in the future. A 67-year-old female patient presented to the emergency department with severe abdominal pain and vomiting. Her gastrostomy feeding tube displaced inwards, up to the feeding-balloon ports complex. After investigations, she was diagnosed with acute pancreatitis. MR cholangiopancreatography (MRCP) confirmed features of this and, interestingly, an inflated gastrostomy balloon could be seen abutting the major and minor ampullae. The patient confirmed that the PEG tube had been changed to a balloon gastrostomy tube some time ago, but the external fixation plate (external bumper) had been loose lately, with the tube repeatedly moving inwards. She admitted that, 1 day before admission, the PEG tube had receded into the stomach and could not be pulled out with a gentle tug. After reviewing the MRCP images, the balloon was deflated, and the tube retracted. Once correctly placed, the balloon was reinflated, and her symptoms improved over the next 2 days.

The COVID-19 pandemic has disrupted agriculture in India in many ways, yet no nationally representative survey has been conducted to quantify these impacts. The three objectives of this study were to evaluate how the pandemic has influenced: (1) cropping patterns and input use, (2) farmers’ willingness to adopt sustainable agricultural practices, and (3) farmers’ COVID-19 symptoms. Phone surveys were conducted between December 2020 and January 2021 with farmers who had previously participated in a nationally representative survey. Values are reported as weighted percent (95% confidence interval). A total of 3,637 farmers completed the survey; 59% (56–61%) were small/marginal farmers; 72% (69–74%) were male; and 52% (49–55%) had a below poverty line ration card. A majority of farmers (84% [82–86%]) reported cultivating the same crops in 2019 and 2020. Farmers who reported a change in their cropping patterns were more likely to be cultivating vegetables (p = 0.001) and soybean (p

In this paper, we are proposing an efficient method to solve the transient heat conduction equation with a moving boundary based on the boundary immobilization method (BIM). The transformed problem is semi discretized by the method of lines (MOL), i.e., central finite difference approximation is made for the spatial derivatives. The resultant system of ordinary differential equations applied the strong stability preserving Runge-Kutta methods (SSP-RK43). A transient heat conduction equation with a moving boundary having exact solutions is considered to check the efficiency and accuracy of the numerical schemes. l2 and l∞ error norms are taken to compare numerical results with the corresponding exact solution.

The global radial basis function approximation scheme is proposed for the numerical solution of the Black-Scholes equation, which has been used extensively for the evolution of European and American options. The higher-order partial derivatives of the option value can be computed directly by using the derivative of the basis functions as the radial basis functions are infinitely differentiable. The proposed numerical scheme is used for exercising the European option and American options. The test problem of the Black-Scholes equation with European options and American options has been solved by the Gaussian radial basis function based on the numerical method. The numerical results generated by the proposed methods are compared with the existing finite difference methods and binomial method.

Simple and accurate non-standard finite difference (NSFD) schemes are proposed for solving the viscous Burgers’ equation with and without Cole–Hopf transformation. The stability and positivity of the schemes are discussed in detail, and the schemes are very user friendly in implementation. For some classic examples for the viscous Burgers’ equation, simulation outcomes are validated through comparison with exact solutions for small and large values of kinematic viscosity. Numerical results from the NSFD schemes and corresponding standard finite difference methods are tabulated and compared with results from some existing methods. The proposed schemes give relatively accurate results, with comparatively less observed absolute errors.

Background: Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. Methods: We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. Findings: The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1-65·8), 17·4% (7·7-28·4), and 59·5% (34·2-86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. Interpretation: By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health. This work was primarily supported by a grant from the Bill & Melinda Gates Foundation (OPP1132415). S Aljunid reports additional funding from the International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia and Department of Health Policy and Management, Faculty of Public Health, Kuwait University for the approval and support to participate in this research project outside of the study. A Awasthi is supported by the Department of Science and Technology, Government of India, New Delhi, through the INSPIRE Faculty Program outside of the study. A Badawi reports additional funding from the Public Health Agency of Canada outside of the study. A Barac reports additional funding from the Project of Ministry of Education, Science and Technology of the Republic of Serbia (no III45005) outside of the study. T Bärnighausen reports additional funding by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research outside of the study. F Carvalho and E Fernandez report additional funding from the Portuguese national funds (UID/MULTI/04378/2019 and UID/QUI/50006/2019) outside of the study. V M Costa reports additional funding from Fundação da Ciência e Tecnologia (FCT) for her grant (SFRH/BPD/110001/2015), which was funded by national funds through FCT – Fundação para a Ciência e a Tecnologia, IP, under the Norma Transitória – DL57/2016/CP1334/CT0006 outside of the study. J De Neve reports additional funding from the Alexander von Humboldt Foundation outside of the study. K Deribe reports additional funding from the Wellcome Trust (grant number 201900) as part of his International Intermediate Fellowship outside of the study. D Endalew and M Moradi report additional funding from Wolkite University. M Ausloos, C Herteliu, and A Pana report additional funding from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI (project number PN-III-P4-ID-PCCF-2016-0084) outside of the study. C Herteliu reports additional funding from the European Fund for Regional Development through Operational Program for Competitiveness (Project ID P_40_382) and the European Fund for Regional Development, through InterReg Romania-Hungary (project code EMS ROHU 217) outside of the study. P Hoogar reports additional funding from the Centre for Holistic Development and Research (CHDR), Kalaghatagi and The Department of Studies in Anthropology, Karnatak University, D S Islam reports additional funding from the National Heart Foundation of Australia and the Institute for Physical Activity and Nutrition, Deakin University outside of the study. A Khatony reports additional funding from the Clinical Research Development Center of Imam Reza Hospital in Kermanshah outside of the study. J Khubchandani reports additional funding from Merck Research Laboratories outside of the study. K Krishan reports additional funding from the UGC Center of Advanced Study (CAS II) awarded to the Department of Anthropology, Panjab University, Chandigarh, India outside of the study. M Kumar reports additional funding from the Fogarty Foundation/NIH through a K43 award (TW010716-01A1) outside of the study. B Lacey reports additional funding from the National Institute for Health Research Oxford Biomedical Research Centre and the British Heart Foundation Centre of Research Excellence (Oxford, UK) outside of the study. A M Samy reports additional funding from the Egyptian Fulbright Mission Program (EFMP) outside of the study. S Seyedmousavi reports additional funding from the Intramural Program of National Institute of Health Clinical Center, Bethesda, MD, USA outside of the study. M Shey reports additional funding from the Wellcome Trust Kenji Shibuya reports additional funding from Japan's Ministry of Health, Labour and Welfare and Japan's Ministry of Education, Culture, Sport, Science and Technology outside of the study. M Sobhiyeh reports additional funding from the Clinical Research Development Center of Imam Reza Hospital, Kermanshah University of Medical Sciences outside of the study. J Soriano reports additional funding from Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain outside of the study. N Taveira reports additional funding from the LIFE study (RIA2016MC-1615) of the European and Developing Countries Clinical Trials Partnership (EDCTP) program supported by the European Union outside of the study. B Unnikrishnan reports additional funding from the Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India outside of the study. T Wijeratne reports additional funding from the Department of Medicine, Faculty of Medicine, University of Rajarata, Saliyapura, Sri Lanka outside of the study. C S Wiysonge reports additional funding from the South African Medical Research Council and the National Research Foundation of South Africa outside of the study.