Although recurrent malignancy is the most frequent indication for second stem cell transplantation (2nd SCT), there are few reports that include sufficiently large numbers of patients to enable prognostic factor analysis. This retrospective study includes 150 patients who underwent a 2nd SCT for relapsed acute myeloblastic leukaemia (n = 61), acute lymphoblastic leukaemia (n = 47) or chronic myeloid leukaemia (n = 42) after a first allogeneic transplant (including 26 T‐cell‐depleted). The median interval between the first transplant and relapse, and between relapse and second transplant was 17 months and 5 months respectively. After the 2nd SCT, engraftment occurred in 93% of cases, 32% of patients developed acute graft‐vs.‐host disease (GVHD)  grade II and 38% chronic GVHD. The 5‐year overall and disease‐free survival were 32 ± 8% and 30 ± 8%, respectively, with a risk of relapse of 44 ± 12% and a transplant‐related mortality of 45 ± 9%. In a multivariate analysis, five factors were associated with a better outcome after 2nd SCT: age < 16 years at second transplant; relapse occurring more than 12 months after the first transplant; transplantation from a female donor; absence of acute GVHD; and the occurrence of chronic GVHD. The best candidates for a second transplant are likely to be patients with acute leukaemia in remission before transplant, in whom the HLA‐identical donor was female and who relapsed more than 1 year after the first transplant.

Background: Surgical mortality data are collected routinely in high-income countries, yet virtually no low-or middle-income countries have outcome surveillance in place. The aim was prospectively to collect worldwide mortality data following emergency abdominal surgery, comparing findings across countries with a low, middle or high Human Development Index (HDI).Methods: This was a prospective, multicentre, cohort study. Self-selected hospitals performing emergency surgery submitted prespecified data for consecutive patients from at least one 2-week interval during July to December 2014. Postoperative mortality was analysed by hierarchical multivariable logistic regression.

More than half of the world’s population now lives in cities as a result of unprecedented urbanization during the second half of the 20th century. The urban population is projected to increase to 68% by 2050, with most of the increase occurring in Asia and Africa. Population growth and increased energy consumption in urban areas lead to high levels of atmospheric pollutants that harm human health, cause regional haze, damage crops, contribute to climate change, and ultimately threaten the society’s sustainability. This article reviews the air quality and compares the policies implemented in the Mexico City Metropolitan Area (MCMA) and Singapore and offers insights into the complexity of managing air pollution to protect public health and the environment. While the differences in the governance, economics, and culture of the two cities greatly influence the decision-making process, both have made much progress in reducing concentrations of harmful pollutants by implementing comprehensive integrated air quality management programs. The experience and the lessons learned from the MCMA and Singapore can be valuable for other urban centers, especially in the fast-growing Asia-Pacific region confronting similar air pollution problems.

The purpose of this research is as follows: 1) to assess ROA's influence on the stock price; 2) to assess the effect of CR on the stock price; 3) to review DER's influence on the stock price; 4) to review the PER's influence on the stock price; and 5) to assess the influence of PBV on the stock price. The type of research used in this research is casual associative research (causal associative research). The population in this research is a Banking company which is included in the Kompas 100 index listed on the Indonesia Stock Exchange (IDX) during the year of 2012-2016. Selection of samples by purposive sampling method. The analysis method used to test the hypothesis is multiple regression tests. The results show that: 1) Return On Assets has a positive effect on the stock price; 2) Current Ratio has a positive effect on the stock price; 3) Debt to Equity Ratio negatively affects the stock price; 4) Price Earning Ratio is positively influential but not significant to the stock price; and 5) Price to Book Value has no effect on the stock price.

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