54 research outputs found

    Glucocorticoid-induced apoptosis in lymphoid organs is associated with a delayed increase in circulating deoxyribonucleic acid

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    Pathological processes like cancer, chronic inflammation and autoimmune phenomena, all of which involve massive cell death, are associated with significant increases in circulating DNA. In order to clarify whether massive apoptosis occurring under physiological circumstances also causes DNA release into the circulation, we correlated the time-course of dexamethasone-induced intra thymic cell apoptosis with plasma DNA dynamics in rats. Animals were given 10 mg/l dexamethasone in their drinking water for up to 7 days. Sequential plasma samples were obtained during the treatment and DNA was quantitated by a micro fluorometric assay. Thymus and spleen weight as well as apoptotic cell levels were assessed at different times. Seven days of glucocorticoid treatment reduced thymic and spleen mass by 82 and 31%, respectively. Intra thymic apoptosis was maximal 24 h after the beginning of glucocorticoid treatment, declining markedly by 48 h. Very little apoptosis was observed in the spleen. Plasma DNA increased steadily during the first 4 days of glucocorticoid treatment (11.8 ± 1.2 μg/ml on day 0; 24.2 ± 1.6 μg/ml on day 4) beginning to decline afterward. Thymectomy but not splenectomy, drastically reduced the glucocorticoid-induced increase in plasma DNA. It is concluded that hormone-induced massive intra thymic cell death is followed by a delayed release of nucleosomal DNA into the circulation.Facultad de Ciencias Médica

    Portable electromagnetic field applicator for magnetic hyperthermia experiments

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    We present a device based on a parallel LC resonant circuit optimized to generate alternating magnetic fields of 100 kHz frequency and amplitude adjustable from 2 to 15 kA/m. It is suitable for research aimed to the development of new nanotherapies that involve the use of magnetic materials and alternating magnetic field for fighting cancer, like magnetic hyperthermia and drug and gene delivery triggered by magnetic stimuli. The equipment is portable, air-cooled, versatile and functional to allow experimentation with materials, in vitro and in vivo. In addition, the design guarantees environmental bioterium conditions (ventilation, light, noise, humidity and temperature) for in vivo and of cell culture conditions (pH, temperature, osmotic pressure, partial pressure of O₂ and CO₂) required for in vitro experiments.Facultad de IngenieríaFacultad de Ciencias Exacta

    Leakage, entrepreneurship, and satisfaction in hospitality

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    This is an Accepted Manuscript of an article published by Taylor & Francis in The Service Industries Journal on 2013, available online:http://www.tandfonline.com/10.1080/02642069.2013.740464Tourism is a very important tool for economic development. However, its economic effects are mainly conditioned by the level of leakage. This work defines leakage, provides an original evaluation of the entrepreneurial environment in showing that it is the one with the lowest level of leakage, and creates a new framework. It also measures leakage in an innovative way using a quantitative approach. In addition, the paper explores and shows how leakage can affect critical business factors, such as customer and employee satisfaction. The empirical study uses structural equations and data from hotels in the Valencian Region (Spain) to show how important leakage is in making businesses more competitive. The results confirm the new model and are of interest for company managers and public organizations.Galdón Salvador, JL.; Garrigós Simón, FJ.; Gil Pechuán, I. (2013). Leakage, entrepreneurship, and satisfaction in hospitality. Service Industries Journal. 33(7-8):759-773. doi:10.1080/02642069.2013.740464S759773337-8Ahmed, Z. U. (1991). The influence of the components of a state’s tourist image on product positioning strategy. Tourism Management, 12(4), 331-340. doi:10.1016/0261-5177(91)90045-uAnderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. doi:10.1037/0033-2909.103.3.411ANDRIOTIS, K. (2002). Options in Tourism Development: Conscious versus Conventional Tourism. Anatolia, 13(1), 73-85. doi:10.1080/13032917.2002.9687016Andriotis, K. (2002). Scale of hospitality firms and local economic development—evidence from Crete. Tourism Management, 23(4), 333-341. doi:10.1016/s0261-5177(01)00094-2Ashworth, C. J. (2011). Marketing and organisational development in e-SMEs: understanding survival and sustainability in growth-oriented and comfort-zone pure-play enterprises in the fashion retail industry. International Entrepreneurship and Management Journal, 8(2), 165-201. doi:10.1007/s11365-011-0171-6Bai, B., Law, R., & Wen, I. (2008). The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors. International Journal of Hospitality Management, 27(3), 391-402. doi:10.1016/j.ijhm.2007.10.008BarNir, A. (2012). Starting technologically innovative ventures: reasons, human capital, and gender. Management Decision, 50(3), 399-419. doi:10.1108/00251741211216205Barsky, J. D., & Labagh, R. (1992). A Strategy for Customer Satisfaction. Cornell Hotel and Restaurant Administration Quarterly, 33(5), 32-40. doi:10.1177/001088049203300524Battistella, C., Biotto, G., & De Toni, A. F. (2012). From design driven innovation to meaning strategy. Management Decision, 50(4), 718-743. doi:10.1108/00251741211220390Bettiol, M., Di Maria, E., & Finotto, V. (2011). Marketing in SMEs: the role of entrepreneurial sensemaking. International Entrepreneurship and Management Journal, 8(2), 223-248. doi:10.1007/s11365-011-0174-3Bitner, M. J., & Hubbert, A. R. (s. f.). Encounter Satisfaction versus Overall Satisfaction versus Quality: The Customer’s Voice. Service Quality: New Directions in Theory and Practice, 72-94. doi:10.4135/9781452229102.n3Bowen, J. T., & Shoemaker, S. (1998). Loyalty: A Strategic Commitment. Cornell Hotel and Restaurant Administration Quarterly, 39(1), 12-25. doi:10.1177/001088049803900104Buhalis, D., & Licata, M. C. (2002). The future eTourism intermediaries. Tourism Management, 23(3), 207-220. doi:10.1016/s0261-5177(01)00085-1Buhalis, D., & O’Connor, P. (2005). Information Communication Technology Revolutionizing Tourism. Tourism Recreation Research, 30(3), 7-16. doi:10.1080/02508281.2005.11081482Cáceres, R., Guzmán, J., & Rekowski, M. (2011). Firms as source of variety in innovation: influence of size and sector. International Entrepreneurship and Management Journal, 7(3), 357-372. doi:10.1007/s11365-011-0198-8Calantone, R. J., & Zhao, Y. S. (2001). Joint Ventures in China: A Comparative Study of Japanese, Korean, and U.S. Partners. Journal of International Marketing, 9(1), 1-23. doi:10.1509/jimk.9.1.1.19834Cavalcante, S., Kesting, P., & Ulhøi, J. (2011). Business model dynamics and innovation: (re)establishing the missing linkages. Management Decision, 49(8), 1327-1342. doi:10.1108/00251741111163142Gabriel Cegarra‐Navarro, J., Sánchez‐Vidal, M. E., & Cegarra‐Leiva, D. (2011). Balancing exploration and exploitation of knowledge through an unlearning context. Management Decision, 49(7), 1099-1119. doi:10.1108/00251741111151163Chang, Y., Hughes, M., & Hotho, S. (2011). Internal and external antecedents of SMEs’ innovation ambidexterity outcomes. Management Decision, 49(10), 1658-1676. doi:10.1108/00251741111183816Chaston, I., & Scott, G. J. (2012). Entrepreneurship and open innovation in an emerging economy. Management Decision, 50(7), 1161-1177. doi:10.1108/00251741211246941Chi, C. G., & Gursoy, D. (2009). Employee satisfaction, customer satisfaction, and financial performance: An empirical examination. International Journal of Hospitality Management, 28(2), 245-253. doi:10.1016/j.ijhm.2008.08.003Choi, T. Y., & Chu, R. (2001). Determinants of hotel guests’ satisfaction and repeat patronage in the Hong Kong hotel industry. International Journal of Hospitality Management, 20(3), 277-297. doi:10.1016/s0278-4319(01)00006-8Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193-218. doi:10.1016/s0022-4359(00)00028-2Eggers, F., Hansen, D. J., & Davis, A. E. (2011). Examining the relationship between customer and entrepreneurial orientation on nascent firms’ marketing strategy. International Entrepreneurship and Management Journal, 8(2), 203-222. doi:10.1007/s11365-011-0173-4Forgas-Coll, S., Palau-Saumell, R., Sánchez-García, J., & Callarisa-Fiol, L. J. (2012). Urban destination loyalty drivers and cross-national moderator effects: The case of Barcelona. Tourism Management, 33(6), 1309-1320. doi:10.1016/j.tourman.2011.12.013Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. doi:10.2307/3151312Garcia, R., & Kandemir, D. (2006). An illustration of modeling moderating variables in cross‐national studies. International Marketing Review, 23(4), 371-389. doi:10.1108/02651330610678967Garrigós‐Simón, F. J., Palacios Marqués, D., & Narangajavana, Y. (2005). Competitive strategies and performance in Spanish hospitality firms. International Journal of Contemporary Hospitality Management, 17(1), 22-38. doi:10.1108/09596110510577653Banu Goktan, A., & Miles, G. (2011). Innovation speed and radicalness: are they inversely related? Management Decision, 49(4), 533-547. doi:10.1108/00251741111126477Hotho, S., & Champion, K. (2011). Small businesses in the new creative industries: innovation as a people management challenge. Management Decision, 49(1), 29-54. doi:10.1108/00251741111094428Huarng, K., & Hui‐Kuang Yu, T. (2011). Entrepreneurship, process innovation and value creation by a non‐profit SME. Management Decision, 49(2), 284-296. doi:10.1108/00251741111109160Idris, A., & Seng Tey, L. (2011). Exploring the motives and determinants of innovation performance of Malaysian offshore international joint ventures. Management Decision, 49(10), 1623-1641. doi:10.1108/00251741111183799Jafari, M., Rezaeenour, J., Mahdavi Mazdeh, M., & Hooshmandi, A. (2011). Development and evaluation of a knowledge risk management model for project‐based organizations. Management Decision, 49(3), 309-329. doi:10.1108/00251741111120725Kim, B. P., Murrmann, S. K., & Lee, G. (2009). Moderating effects of gender and organizational level between role stress and job satisfaction among hotel employees. International Journal of Hospitality Management, 28(4), 612-619. doi:10.1016/j.ijhm.2009.04.001Lam, T., Zhang, H., & Baum, T. (2001). An investigation of employees’ job satisfaction: the case of hotels in Hong Kong. Tourism Management, 22(2), 157-165. doi:10.1016/s0261-5177(00)00039-xLaw, R., Leung, R., & Buhalis, D. (2009). INFORMATION TECHNOLOGY APPLICATIONS IN HOSPITALITY AND TOURISM: A REVIEW OF PUBLICATIONS FROM 2005 TO 2007. Journal of Travel & Tourism Marketing, 26(5-6), 599-623. doi:10.1080/10548400903163160Lee, S. M., Hwang, T., & Choi, D. (2012). Open innovation in the public sector of leading countries. Management Decision, 50(1), 147-162. doi:10.1108/00251741211194921Lee, S. M., Lim, S., & Pathak, R. D. (2009). Culture and entrepreneurial orientation: a multi-country study. International Entrepreneurship and Management Journal, 7(1), 1-15. doi:10.1007/s11365-009-0117-4Lee, S. M., Olson, D. L., & Trimi, S. (2012). Co‐innovation: convergenomics, collaboration, and co‐creation for organizational values. Management Decision, 50(5), 817-831. doi:10.1108/00251741211227528Legoherel, P. (1998). Toward a Market Segmentation of the Tourism Trade: Journal of Travel & Tourism Marketing, 7(3), 19-39. doi:10.1300/j073v07n03_02Lejárraga, I., & Walkenhorst, P. (2010). On linkages and leakages: measuring the secondary effects of tourism. Applied Economics Letters, 17(5), 417-421. doi:10.1080/13504850701765127Li, H., & Atuahene-Gima, K. (2001). PRODUCT INNOVATION STRATEGY AND THE PERFORMANCE OF NEW TECHNOLOGY VENTURES IN CHINA. Academy of Management Journal, 44(6), 1123-1134. doi:10.2307/3069392Lindič, J., & Marques da Silva, C. (2011). Value proposition as a catalyst for a customer focused innovation. Management Decision, 49(10), 1694-1708. doi:10.1108/00251741111183834Locke, E. A. (1969). What is job satisfaction? Organizational Behavior and Human Performance, 4(4), 309-336. doi:10.1016/0030-5073(69)90013-0Locke, E. A. (1970). Job satisfaction and job performance: A theoretical analysis. Organizational Behavior and Human Performance, 5(5), 484-500. doi:10.1016/0030-5073(70)90036-xWagner Mainardes, E., Alves, H., & Raposo, M. (2011). Stakeholder theory: issues to resolve. Management Decision, 49(2), 226-252. doi:10.1108/00251741111109133Matzler, K., & Renzl, B. (2007). Assessing asymmetric effects in the formation of employee satisfaction. Tourism Management, 28(4), 1093-1103. doi:10.1016/j.tourman.2006.07.009Morrison, A., & Thomas, R. (1999). The future of small firms in the hospitality industry. International Journal of Contemporary Hospitality Management, 11(4), 148-154. doi:10.1108/09596119910263531Mowforth, M. (2003). Tourism and Sustainability. doi:10.4324/9780203422779Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41. doi:10.2307/1251430Reed, R., Storrud‐Barnes, S., & Jessup, L. (2012). How open innovation affects the drivers of competitive advantage. Management Decision, 50(1), 58-73. doi:10.1108/00251741211194877Van Riel, A. C. R., Semeijn, J., Hammedi, W., & Henseler, J. (2011). Technology‐based service proposal screening and decision‐making effectiveness. Management Decision, 49(5), 762-783. doi:10.1108/00251741111130841Sandbrook, C. G. (2008). Putting leakage in its place: The significance of retained tourism revenue in the local context in Rural Uganda. Journal of International Development, 22(1), 124-136. doi:10.1002/jid.1507Satorra, A., & Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66(4), 507-514. doi:10.1007/bf02296192Siegel, D. S., & Renko, M. (2012). The role of market and technological knowledge in recognizing entrepreneurial opportunities. Management Decision, 50(5), 797-816. doi:10.1108/00251741211227500Silva, P. (2006). Effects of disposition on hospitality employee job satisfaction and commitment. International Journal of Contemporary Hospitality Management, 18(4), 317-328. doi:10.1108/09596110610665320Sitlington, H., & Marshall, V. (2011). Do downsizing decisions affect organisational knowledge and performance? Management Decision, 49(1), 116-129. doi:10.1108/00251741111094473Spreng, R. A., & Mackoy, R. D. (1996). An empirical examination of a model of perceived service quality and satisfaction. Journal of Retailing, 72(2), 201-214. doi:10.1016/s0022-4359(96)90014-7Stevens, B. F. (1992). Price Value Perceptions of Travelers. Journal of Travel Research, 31(2), 44-48. doi:10.1177/004728759203100208Tang, K., Robinson, D. A., & Harvey, M. (2011). Sustainability managers or rogue mid‐managers? Management Decision, 49(8), 1371-1394. doi:10.1108/00251741111163179Trong Tuan, L. (2012). Behind knowledge transfer. Management Decision, 50(3), 459-478. doi:10.1108/00251741211216232McGivern, M. H., & Tvorik, S. J. (1997). Determinants of organizational performance. Management Decision, 35(6), 417-435. doi:10.1108/00251749710173797Vaiman, V., Scullion, H., & Collings, D. (2012). Talent management decision making. Management Decision, 50(5), 925-941. doi:10.1108/00251741211227663Vasconcellos e Sá, J. A., Olão, F., & Pereira, M. (2011). From Levitt to the global age: one more time, how do we define our business? Management Decision, 49(1), 99-115. doi:10.1108/00251741111094464Walk, S. R. (2011). A new fast, reliable filtering method for multiple criteria decision making. Management Decision, 49(5), 810-822. doi:10.1108/00251741111130878Wang, Y., & Feng, H. (2012). Customer relationship management capabilities. Management Decision, 50(1), 115-129. doi:10.1108/00251741211194903Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171-180. doi:10.1002/smj.4250050207G. Woodside, A., Ramos Mir, V., & Duque, M. (2011). Tourism ’ s destination dominance and marketing website usefulness. International Journal of Contemporary Hospitality Management, 23(4), 552-564. doi:10.1108/09596111111130038Woodside, A. G., & Sakai, M. Y. (2001). Meta-Evaluations of Performance Audits of Government Tourism-Marketing Programs. Journal of Travel Research, 39(4), 369-379. doi:10.1177/004728750103900403Wu, C. H.-J., & Liang, R.-D. (2009). Effect of experiential value on customer satisfaction with service encounters in luxury-hotel restaurants. International Journal of Hospitality Management, 28(4), 586-593. doi:10.1016/j.ijhm.2009.03.008Yang, C., & Liu, H. (2012). Boosting firm performance via enterprise agility and network structure. Management Decision, 50(6), 1022-1044. doi:10.1108/00251741211238319Yang, T., & Li, C. (2011). Competence exploration and exploitation in new product development. Management Decision, 49(9), 1444-1470. doi:10.1108/00251741111173934Zortea-Johnston, E., Darroch, J., & Matear, S. (2011). Business orientations and innovation in small and medium sized enterprises. International Entrepreneurship and Management Journal, 8(2), 145-164. doi:10.1007/s11365-011-0170-

    Overactive bladder – 18 years – Part II

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    Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

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    Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks

    Rising rural body-mass index is the main driver of the global obesity epidemic in adults

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    Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.Peer reviewe

    Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

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    Background: The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on postoperative recovery needs to be understood to inform clinical decision making during and after the COVID-19 pandemic. This study reports 30-day mortality and pulmonary complication rates in patients with perioperative SARS-CoV-2 infection. Methods: This international, multicentre, cohort study at 235 hospitals in 24 countries included all patients undergoing surgery who had SARS-CoV-2 infection confirmed within 7 days before or 30 days after surgery. The primary outcome measure was 30-day postoperative mortality and was assessed in all enrolled patients. The main secondary outcome measure was pulmonary complications, defined as pneumonia, acute respiratory distress syndrome, or unexpected postoperative ventilation. Findings: This analysis includes 1128 patients who had surgery between Jan 1 and March 31, 2020, of whom 835 (74·0%) had emergency surgery and 280 (24·8%) had elective surgery. SARS-CoV-2 infection was confirmed preoperatively in 294 (26·1%) patients. 30-day mortality was 23·8% (268 of 1128). Pulmonary complications occurred in 577 (51·2%) of 1128 patients; 30-day mortality in these patients was 38·0% (219 of 577), accounting for 81·7% (219 of 268) of all deaths. In adjusted analyses, 30-day mortality was associated with male sex (odds ratio 1·75 [95% CI 1·28–2·40], p\textless0·0001), age 70 years or older versus younger than 70 years (2·30 [1·65–3·22], p\textless0·0001), American Society of Anesthesiologists grades 3–5 versus grades 1–2 (2·35 [1·57–3·53], p\textless0·0001), malignant versus benign or obstetric diagnosis (1·55 [1·01–2·39], p=0·046), emergency versus elective surgery (1·67 [1·06–2·63], p=0·026), and major versus minor surgery (1·52 [1·01–2·31], p=0·047). Interpretation: Postoperative pulmonary complications occur in half of patients with perioperative SARS-CoV-2 infection and are associated with high mortality. Thresholds for surgery during the COVID-19 pandemic should be higher than during normal practice, particularly in men aged 70 years and older. Consideration should be given for postponing non-urgent procedures and promoting non-operative treatment to delay or avoid the need for surgery. Funding: National Institute for Health Research (NIHR), Association of Coloproctology of Great Britain and Ireland, Bowel and Cancer Research, Bowel Disease Research Foundation, Association of Upper Gastrointestinal Surgeons, British Association of Surgical Oncology, British Gynaecological Cancer Society, European Society of Coloproctology, NIHR Academy, Sarcoma UK, Vascular Society for Great Britain and Ireland, and Yorkshire Cancer Research

    Erratum: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

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    Interpretation: By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning
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