Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990�2015: a systematic analysis for the Global Burden of Disease Study 2015

Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors�the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25 over the same period. All risks jointly evaluated in 2015 accounted for 57·8 (95 CI 56·6�58·8) of global deaths and 41·2 (39·8�42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million 192·7 million to 231·1 million global DALYs), smoking (148·6 million 134·2 million to 163·1 million), high fasting plasma glucose (143·1 million 125·1 million to 163·5 million), high BMI (120·1 million 83·8 million to 158·4 million), childhood undernutrition (113·3 million 103·9 million to 123·4 million), ambient particulate matter (103·1 million 90·8 million to 115·1 million), high total cholesterol (88·7 million 74·6 million to 105·7 million), household air pollution (85·6 million 66·7 million to 106·1 million), alcohol use (85·0 million 77·2 million to 93·0 million), and diets high in sodium (83·0 million 49·3 million to 127·5 million). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Funding Bill & Melinda Gates Foundation. © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY licens

Application of stable isotope analysis to differentiate shrimp extracted by industrial fishing or produced through aquaculture practices

Carbon and nitrogen stable isotope values were determined in Pacific white shrimp (Litopenaeus vannamei) with the objective of discriminating animals produced through aquaculture practices from those extracted from the wild. Farmed animals were collected at semi-intensive shrimp farms in Mexico and Ecuador. Fisheries-derived shrimps were caught in different fishing areas representing two estuarine systems and four open sea locations in Mexico and Ecuador. Carbon and nitrogen stable isotope values (δ13CVPDB and δ15NAIR) allowed clear differentiation of wild from farmed animals. δ13CVPDB and δ15NAIR values in shrimps collected in the open sea were isotopically enriched (−16.99‰ and 11.57‰), indicating that these organisms belong to higher trophic levels than farmed animals. δ13CVPDB and δ15NAIR values of farmed animals (−19.72‰ and 7.85‰, respectively) partially overlapped with values measured in animals collected in estuaries (−18.46‰ and 5.38‰, respectively). Canonical discriminant analysis showed that when used separately and in conjunction, δ13CVPDB and δ15NAIR values were powerful discriminatory variables and demonstrate the viability of isotopic evaluations to distinguish wild-caught shrimps from aquaculture shrimps. Methodological improvements will define a verification tool to support shrimp traceability protocols. © 2014 Can. J. Fish. Aquat. Sci. All rights reserved

Growth and feed utilization of the shrimp Farfantepenaeus paulensis fed diets containing different marine protein sources Crescimento e eficiência alimentar do camarão Farfantepenaeus paulensis alimentado com dietas contendo diferentes fontes protéicas marinhas

Five isonitrogenous and isoenergetic diets containing different protein sources (fish, squid and mussel meals and their combinations at the proportions of 40, 30 and 30% or 60, 20 and 20%) were fed for 28 days to Farfantepenaeus paulensis. Growth performance and feed utilization of shrimp fed the fish meal-based diet was comparatively inferior to those fed other protein sources or their combinations. This indicates that fish meal may not be the best protein source for F. paulensis. Feeds containing a mixture of protein sources are better utilized by F. paulensis and therefore result in significantly higher growth than those containing a single protein source.<br>Cinco dietas iso-protéicas e iso-energéticas contendo diferentes fontes de proteína marinhas (farinhas de peixe, lula e mexilhão e suas misturas nas proporções de 40, 30 e 30% ou 60, 20 e 20%) foram oferecidas durante 28 dias para o camarão Farfantepenaeus paulensis. O crescimento e a taxa de conversão alimentar dos camarões arraçoados com a dieta a base de farinha de peixe tendeu a ser inferior àqueles alimentados com as outras fontes de proteína e/ou suas combinações. Estes resultados indicam que a farinha de peixe pode não ser a melhor fonte protéica para F. paulensis. Dietas contendo uma mistura de fontes protéicas foram mais bem utilizadas por F. paulensis e, portanto, resultaram em taxas de crescimento superiores àquelas contendo uma única fonte de proteína

Human papillomavirus genotype attribution in invasive cervical cancer: a retrospective cross-sectional worldwide study

Background Knowledge about the distribution of human papillomavirus (HPV) genotypes in invasive cervical cancer is crucial to guide the introduction of prophylactic vaccines. We aimed to provide novel and comprehensive data about the worldwide genotype distribution in patients with invasive cervical cancer. Methods Paraffi n-embedded samples of histologically confirmed cases of invasive cervical cancer were collected from 38 countries in Europe, North America, central South America, Africa, Asia, and Oceania. Inclusion criteria were a pathological confi rmation of a primary invasive cervical cancer of epithelial origin in the tissue sample selected for analysis of HPV DNA, and information about the year of diagnosis. HPV detection was done by use of PCR with SPF-10 broad-spectrum primers followed by DNA enzyme immunoassay and genotyping with a reverse hybridisation line probe assay. Sequence analysis was done to characterise HPV-positive samples with unknown HPV types. Data analyses included algorithms of multiple infections to estimate type-specifi c relative contributions. Findings 22 661 paraffi n-embedded samples were obtained from 14 249 women. 10 575 cases of invasive cervical cancer were included in the study, and 8977 (85%) of these were positive for HPV DNA. The most common HPV types were 16, 18, 31, 33, 35, 45, 52, and 58 with a combined worldwide relative contribution of 8196 of 8977 (91%, 95% CI 90–92). HPV types 16 and 18 were detected in 6357 of 8977 of cases (71%, 70–72) of invasive cervical cancer. HPV types 16, 18, and 45 were detected in 443 of 470 cases (94%, 92–96) of cervical adenocarcinomas. Unknown HPV types that were identifi ed with sequence analysis were 26, 30, 61, 67, 69, 82, and 91 in 103 (1%) of 8977 cases of invasive cervical cancer. Women with invasive cervical cancers related to HPV types 16, 18, or 45 presented at a younger mean age than did those with other HPV types (50·0 years [49·6–50·4], 48·2 years [47·3–49·2], 46·8 years [46·6–48·1], and 55·5 years [54·9–56·1], respectively). Interpretation To our knowledge, this study is the largest assessment of HPV genotypes to date. HPV types 16, 18, 31, 33, 35, 45, 52, and 58 should be given priority when the cross-protective eff ects of current vaccines are assessed, and for formulation of recommendations for the use of second-generation polyvalent HPV vaccines. Our results also suggest that type-specifi c high-risk HPV-DNA-based screening tests and protocols should focus on HPV types 16, 18, and 45

Characteristics, management, and outcomes of patients with left‐sided infective endocarditis complicated by heart failure: a substudy of the ESC‐EORP EURO‐ENDO (European infective endocarditis) registry

International audienc

Measurement of the branching fraction and CP asymmetry in B plus . J/.. plus decays

none845noneAaij R.; Beteta C.A.; Adeva B.; Adinolfi M.; Aidala C.A.; Ajaltouni Z.; Akar S.; Albicocco P.; Albrecht J.; Alessio F.; Alexander M.; Albero A.A.; Alkhazov G.; Alvarez Cartelle P.; Alves A.A.; Amato S.; Amerio S.; Amhis Y.; An L.; Anderlini L.; Andreassi G.; Andreotti M.; Andrews J.E.; Archilli F.; d'Argent P.; Arnau Romeu J.; Artamonov A.; Artuso M.; Arzymatov K.; Aslanides E.; Atzeni M.; Audurier B.; Bachmann S.; Back J.J.; Baker S.; Balagura V.; Baldini W.; Baranov A.; Barlow R.J.; Barrand G.C.; Barsuk S.; Barter W.; Bartolini M.; Baryshnikov F.; Batozskaya V.; Batsukh B.; Battig A.; Battista V.; Bay A.; Beddow J.; Bedeschi F.; Bediaga I.; Beiter A.; Bel L.J.; Belin S.; Beliy N.; Bellee V.; Belloli N.; Belous K.; Belyaev I.; Ben-Haim E.; Bencivenni G.; Benson S.; Beranek S.; Berezhnoy A.; Bernet R.; Berninghoff D.; Bertholet E.; Bertolin A.; Betancourt C.; Betti F.; Bettler M.O.; van Beuzekom M.; Bezshyiko I.; Bhasin S.; Bhom J.; Bifani S.; Billoir P.; Birnkraut A.; Bizzeti A.; Bjorn M.; Blago M.P.; Blake T.; Blanc F.; Blusk S.; Bobulska D.; Bocci V.; Garcia O.B.; Boettcher T.; Bondar A.; Bondar N.; Borghi S.; Borisyak M.; Borsato M.; Bossu F.; Boubdir M.; Bowcock T.J.V.; Bozzi C.; Braun S.; Brodski M.; Brodzicka J.; Gonzalo A.B.; Brundu D.; Buchanan E.; Buonaura A.; Burr C.; Bursche A.; Buytaert J.; Byczynski W.; Cadeddu S.; Cai H.; Calabrese R.; Calladine R.; Calvi M.; Calvo Gomez M.; Camboni A.; Campana P.; Campora Perez D.H.; Capriotti L.; Carbone A.; Carboni G.; Cardinale R.; Cardini A.; Carniti P.; Carson L.; Carvalho Akiba K.; Casse G.; Cassina L.; Cattaneo M.; Cavallero G.; Cenci R.; Chamont D.; Chapman M.G.; Charles M.; Charpentier P.; Chatzikonstantinidis G.; Chefdeville M.; Chekalina V.; Chen C.; Chen S.; Chitic S.-G.; Chobanova V.; Chrzaszcz M.; Chubykin A.; Ciambrone P.; Cid Vidal X.; Ciezarek G.; Clarke P.E.L.; Clemencic M.; Cliff H.V.; Closier J.; Coco V.; Coelho J.A.B.; Cogan J.; Cogneras E.; Cojocariu L.; Collins P.; Colombo T.; Comerma-Montells A.; Contu A.; Coombs G.; Coquereau S.; Corti G.; Corvo M.; Costa Sobral C.M.; Couturier B.; Cowan G.A.; Craik D.C.; Crocombe A.; Cruz Torres M.; Currie R.; D'Ambrosio C.; Da Cunha Marinho F.; Da Silva C.L.; Dall'Occo E.; Dalseno J.; Danilina A.; Davis A.; De Aguiar Francisco O.; De Bruyn K.; De Capua S.; De Cian M.; De Miranda J.M.; De Paula L.; De Serio M.; De Simone P.; Dean C.T.; Decamp D.; Del Buono L.; Delaney B.; Dembinski H.-P.; Demmer M.; Dendek A.; Derkach D.; Deschamps O.; Desse F.; Dettori F.; Dey B.; Di Canto A.; Di Nezza P.; Didenko S.; Dijkstra H.; Dordei F.; Dorigo M.; Dosil Suarez A.; Douglas L.; Dovbnya A.; Dreimanis K.; Dufour L.; Dujany G.; Durante P.; Durham J.M.; Dutta D.; Dzhelyadin R.; Dziewiecki M.; Dziurda A.; Dzyuba A.; Easo S.; Egede U.; Egorychev V.; Eidelman S.; Eisenhardt S.; Eitschberger U.; Ekelhof R.; Eklund L.; Ely S.; Ene A.; Escher S.; Esen S.; Evans T.; Falabella A.; Farley N.; Farry S.; Fazzini D.; Federici L.; Fernandez Declara P.; Fernandez Prieto A.; Ferrari F.; Lopes L.F.; Ferreira Rodrigues F.; Ferro-Luzzi M.; Filippov S.; Fini R.A.; Fiorini M.; Firlej M.; Fitzpatrick C.; Fiutowski T.; Fleuret F.; Fontana M.; Fontanelli F.; Forty R.; Franco Lima V.; Frank M.; Frei C.; Fu J.; Funk W.; Farber C.; Carvalho M.F.P.R.; Gabriel E.; Gallas Torreira A.; Galli D.; Gallorini S.; Gambetta S.; Gan Y.; Gandelman M.; Gandini P.; Gao Y.; Garcia Martin L.M.; Plana B.G.; Garcia Pardinas J.; Garra Tico J.; Garrido L.; Gascon D.; Gaspar C.; Gavardi L.; Gazzoni G.; Gerick D.; Gersabeck E.; Gersabeck M.; Gershon T.; Gerstel D.; Ghez P.; Gibson V.; Girard O.G.; Gironell P.G.; Giubega L.; Gizdov K.; Gligorov V.V.; Golubkov D.; Golutvin A.; Gomes A.; Gorelov I.V.; Gotti C.; Govorkova E.; Grabowski J.P.; Graciani Diaz R.; Granado Cardoso L.A.; Grauges E.; Graverini E.; Graziani G.; Grecu A.; Greim R.; Griffith P.; Grillo L.; Gruber L.; Gruberg Cazon B.R.; Grunberg O.; Gu C.; Gushchin E.; Guth A.; Guz Y.; Gys T.; Gobel C.; Hadavizadeh T.; Hadjivasiliou C.; Haefeli G.; Haen C.; Haines S.C.; Hamilton B.; Han X.; Hancock T.H.; Hansmann-Menzemer S.; Harnew N.; Harnew S.T.; Harrison T.; Hasse C.; Hatch M.; He J.; Hecker M.; Heinicke K.; Heister A.; Hennessy K.; Henry L.; van Herwijnen E.; Heuel J.; Hess M.; Hicheur A.; Charman R.H.; Hill D.; Hilton M.; Hopchev P.H.; Hu J.; Hu W.; Huang W.; Huard Z.C.; Hulsbergen W.; Humair T.; Hushchyn M.; Hutchcroft D.; Hynds D.; Ibis P.; Idzik M.; Ilten P.; Ivshin K.; Jacobsson R.; Jalocha J.; Jans E.; Jawahery A.; Jiang F.; John M.; Johnson D.; Jones C.R.; Joram C.; Jost B.; Jurik N.; Kandybei S.; Karacson M.; Kariuki J.M.; Karodia S.; Kazeev N.; Kecke M.; Keizer F.; Kelsey M.; Kenzie M.; Ketel T.; Khairullin E.; Khanji B.; Khurewathanakul C.; Kim K.E.; Kirn T.; Klaver S.; Klimaszewski K.; Klimkovich T.; Koliiev S.; Kolpin M.; Kopecna R.; Koppenburg P.; Kostiuk I.; Kotriakhova S.; Kozeiha M.; Kravchuk L.; Kreps M.; Kress F.; Krokovny P.; Krupa W.; Krzemien W.; Kucewicz W.; Kucharczyk M.; Kudryavtsev V.; Kuonen A.K.; Kvaratskheliya T.; Lacarrere D.; Lafferty G.; Lai A.; Lancierini D.; Lanfranchi G.; Langenbruch C.; Latham T.; Lazzeroni C.; Le Gac R.; Leflat A.; Lefrancois J.; Lefevre R.; Lemaitre F.; Leroy O.; Lesiak T.; Leverington B.; Li P.-R.; Li Y.; Li Z.; Liang X.; Likhomanenko T.; Lindner R.; Lionetto F.; Lisovskyi V.; Liu G.; Liu X.; Loh D.; Loi A.; Longstaff I.; Lopes J.H.; Lovell G.H.; Lucchesi D.; Lucio Martinez M.; Lupato A.; Luppi E.; Lupton O.; Lusiani A.; Lyu X.; Machefert F.; Maciuc F.; Macko V.; Mackowiak P.; Maddrell-Mander S.; Maev O.; Maguire K.; Maisuzenko D.; Majewski M.W.; Malde S.; Malecki B.; Malinin A.; Maltsev T.; Manca G.; Mancinelli G.; Marangotto D.; Maratas J.; Marchand J.F.; Marconi U.; Marin Benito C.; Marinangeli M.; Marino P.; Marks J.; Marshall P.J.; Martellotti G.; Martin M.; Martinelli M.; Martinez Santos D.; Martinez Vidal F.; Massafferri A.; Materok M.; Matev R.; Mathad A.; Mathe Z.; Matteuzzi C.; Mauri A.; Maurice E.; Maurin B.; Mazurov A.; McCann M.; McNab A.; McNulty R.; Mead J.V.; Meadows B.; Meaux C.; Meinert N.; Melnychuk D.; Merk M.; Merli A.; Michielin E.; Milanes D.A.; Millard E.; Minard M.-N.; Minzoni L.; Mitzel D.S.; Mogini A.; Moise R.D.; Mombacher T.; Monroy I.A.; Monteil S.; Morandin M.; Morello G.; Morello M.J.; Morgunova O.; Moron J.; Morris A.B.; Mountain R.; Muheim F.; Mulder M.; Murphy C.H.; Murray D.; Modden A.; Muller D.; Muller J.; Muller K.; Muller V.; Naik P.; Nakada T.; Nandakumar R.; Nandi A.; Nanut T.; Nasteva I.; Needham M.; Neri N.; Neubert S.; Neufeld N.; Neuner M.; Newcombe R.; Nguyen T.D.; Nguyen-Mau C.; Nieswand S.; Niet R.; Nikitin N.; Nogay A.; Nolte N.S.; O'Hanlon D.P.; Oblakowska-Mucha A.; Obraztsov V.; Ogilvy S.; Oldeman R.; Onderwater C.J.G.; Ossowska A.; Otalora Goicochea J.M.; Ovsiannikova T.; Owen P.; Oyanguren A.; Pais P.R.; Pajero T.; Palano A.; Palutan M.; Panshin G.; Papanestis A.; Pappagallo M.; Pappalardo L.L.; Parker W.; Parkes C.; Passaleva G.; Pastore A.; Patel M.; Patrignani C.; Pearce A.; Pellegrino A.; Penso G.; Pepe Altarelli M.; Perazzini S.; Pereima D.; Perret P.; Pescatore L.; Petridis K.; Petrolini A.; Petrov A.; Petrucci S.; Petruzzo M.; Pietrzyk B.; Pietrzyk G.; Pikies M.; Pili M.; Pinci D.; Pinzino J.; Pisani F.; Piucci A.; Placinta V.; Playfer S.; Plews J.; Plo Casasus M.; Polci F.; Poli Lener M.; Poluektov A.; Polukhina N.; Polyakov I.; Polycarpo E.; Pomery G.J.; Ponce S.; Popov A.; Popov D.; Poslavskii S.; Potterat C.; Price E.; Prisciandaro J.; Prouve C.; Pugatch V.; Puig Navarro A.; Pullen H.; Punzi G.; Qian W.; Qin J.; Quagliani R.; Quintana B.; Rachwal B.; Rademacker J.H.; Rama M.; Ramos Pernas M.; Rangel M.S.; Ratnikov F.; Raven G.; Salzgeber M.R.; Reboud M.; Redi F.; Reichert S.; dos Reis A.C.; Reiss F.; Remon Alepuz C.; Ren Z.; Renaudin V.; Ricciardi S.; Richards S.; Rinnert K.; Robbe P.; Robert A.; Rodrigues A.B.; Rodrigues E.; Rodriguez Lopez J.A.; Roehrken M.; Roiser S.; Rollings A.; Romanovskiy V.; Romero Vidal A.; Rotondo M.; Rudolph M.S.; Ruf T.; Ruiz Vidal J.; Saborido Silva J.J.; Sagidova N.; Saitta B.; Salustino Guimaraes V.; Sanchez Gras C.; Sanchez Mayordomo C.; Sanmartin Sedes B.; Santacesaria R.; Santamarina Rios C.; Santimaria M.; Santovetti E.; Sarpis G.; Sarti A.; Satriano C.; Satta A.; Saur M.; Savrina D.; Schael S.; Schellenberg M.; Schiller M.; Schindler H.; Schmelling M.; Schmelzer T.; Schmidt B.; Schneider O.; Schopper A.; Schreiner H.F.; Schubiger M.; Schune M.H.; Schwemmer R.; Sciascia B.; Sciubba A.; Semennikov A.; Sepulveda E.S.; Sergi A.; Serra N.; Serrano J.; Sestini L.; Seuthe A.; Seyfert P.; Shapkin M.; Shcheglov Y.; Shears T.; Shekhtman L.; Shevchenko V.; Shmanin E.; Siddi B.G.; Silva Coutinho R.; Silva de Oliveira L.; Simi G.; Simone S.; Skiba I.; Skidmore N.; Skwarnicki T.; Slater M.W.; Smeaton J.G.; Smith E.; Smith I.T.; Smith M.; Soares M.; Soares Lavra L.; Sokoloff M.D.; Soler F.J.P.; Souza De Paula B.; Spaan B.; Spadaro Norella E.; Spradlin P.; Stagni F.; Stahl M.; Stahl S.; Stefko P.; Stefkova S.; Steinkamp O.; Stemmle S.; Stenyakin O.; Stepanova M.; Stevens H.; Stocchi A.; Stone S.; Storaci B.; Stracka S.; Stramaglia M.E.; Straticiuc M.; Straumann U.; Strokov S.; Sun J.; Sun L.; Swientek K.; Szabelski A.; Szumlak T.; Szymanski M.; T'Jampens S.; Tang Z.; Tayduganov A.; Tekampe T.; Tellarini G.; Teubert F.; Thomas E.; van Tilburg J.; Tilley M.J.; Tisserand V.; Tobin M.; Tolk S.; Tomassetti L.; Tonelli D.; Tou D.Y.; Tourinho Jadallah Aoude R.; Tournefier E.; Traill M.; Tran M.T.; Trisovic A.; Tsaregorodtsev A.; Tuci G.; Tully A.; Tuning N.; Ukleja A.; Usachov A.; Ustyuzhanin A.; Uwer U.; Vagner A.; Vagnoni V.; Valassi A.; Valat S.; Valenti G.; Vazquez Gomez R.; Vazquez Regueiro P.; Vecchi S.; van Veghel M.; Velthuis J.J.; Veltri M.; Veneziano G.; Venkateswaran A.; Vernet M.; Veronesi M.; Veronika N.V.; Vesterinen M.; Viana Barbosa J.V.; Vieira D.; Vieites Diaz M.; Viemann H.; Vilasis-Cardona X.; Vitkovskiy A.; Vitti M.; Volkov V.; Vollhardt A.; Vom Bruch D.; Voneki B.; Vorobyev A.; Vorobyev V.; de Vries J.A.; Vazquez Sierra C.; Waldi R.; Walsh J.; Wang J.; Wang M.; Wang Y.; Wang Z.; Ward D.R.; Wark H.M.; Watson N.K.; Websdale D.; Weiden A.; Weisser C.; Whitehead M.; Wicht J.; Wilkinson G.; Wilkinson M.; Williams I.; Williams M.R.J.; Williams M.; Williams T.; Wilson F.F.; Winn M.; Wislicki W.; Witek M.; Wormser G.; Wotton S.A.; Wyllie K.; Xiao D.; Xie Y.; Xu A.; Xu M.; Xu Q.; Xu Z.; Xu Z.; Yang Z.; Yang Z.; Yao Y.; Yeomans L.E.; Yin H.; Yu J.; Yuan X.; Yushchenko O.; Zarebski K.A.; Zavertyaev M.; Zhang D.; Zhang L.; Zhang W.C.; Zhang Y.; Zhelezov A.; Zheng Y.; Zhu X.; Zhukov V.; Zonneveld J.B.; Zucchelli S.Aaij, R.; Beteta, C. A.; Adeva, B.; Adinolfi, M.; Aidala, C. A.; Ajaltouni, Z.; Akar, S.; Albicocco, P.; Albrecht, J.; Alessio, F.; Alexander, M.; Albero, A. A.; Alkhazov, G.; Alvarez Cartelle, P.; Alves, A. A.; Amato, S.; Amerio, S.; Amhis, Y.; An, L.; Anderlini, L.; Andreassi, G.; Andreotti, M.; Andrews, J. E.; Archilli, F.; D'Argent, P.; Arnau Romeu, J.; Artamonov, A.; Artuso, M.; Arzymatov, K.; Aslanides, E.; Atzeni, M.; Audurier, B.; Bachmann, S.; Back, J. J.; Baker, S.; Balagura, V.; Baldini, W.; Baranov, A.; Barlow, R. J.; Barrand, G. C.; Barsuk, S.; Barter, W.; Bartolini, M.; Baryshnikov, F.; Batozskaya, V.; Batsukh, B.; Battig, A.; Battista, V.; Bay, A.; Beddow, J.; Bedeschi, F.; Bediaga, I.; Beiter, A.; Bel, L. J.; Belin, S.; Beliy, N.; Bellee, V.; Belloli, N.; Belous, K.; Belyaev, I.; Ben-Haim, E.; Bencivenni, G.; Benson, S.; Beranek, S.; Berezhnoy, A.; Bernet, R.; Berninghoff, D.; Bertholet, E.; Bertolin, A.; Betancourt, C.; Betti, F.; Bettler, M. O.; van Beuzekom, M.; Bezshyiko, I.; Bhasin, S.; Bhom, J.; Bifani, S.; Billoir, P.; Birnkraut, A.; Bizzeti, A.; Bjorn, M.; Blago, M. P.; Blake, T.; Blanc, F.; Blusk, S.; Bobulska, D.; Bocci, V.; Garcia, O. B.; Boettcher, T.; Bondar, A.; Bondar, N.; Borghi, S.; Borisyak, M.; Borsato, M.; Bossu, F.; Boubdir, M.; Bowcock, T. J. V.; Bozzi, C.; Braun, S.; Brodski, M.; Brodzicka, J.; Gonzalo, A. B.; Brundu, D.; Buchanan, E.; Buonaura, A.; Burr, C.; Bursche, A.; Buytaert, J.; Byczynski, W.; Cadeddu, S.; Cai, H.; Calabrese, R.; Calladine, R.; Calvi, M.; Calvo Gomez, M.; Camboni, A.; Campana, P.; Campora Perez, D. H.; Capriotti, L.; Carbone, A.; Carboni, G.; Cardinale, R.; Cardini, A.; Carniti, P.; Carson, L.; Carvalho Akiba, K.; Casse, G.; Cassina, L.; Cattaneo, M.; Cavallero, G.; Cenci, R.; Chamont, D.; Chapman, M. 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Measurement of the Lifetime of the Doubly Charmed Baryon Xi(++)(cc)

The first measurement of the lifetime of the doubly charmed baryon \u39ecc++ is presented, with the signal reconstructed in the final state \u39bc+K-\u3c0+\u3c0+. The data sample used corresponds to an integrated luminosity of 1.7 fb-1, collected by the LHCb experiment in proton-proton collisions at a center-of-mass energy of 13 TeV. The \u39ecc++ lifetime is measured to be 0.256-0.022+0.024(stat)\ub10.014(syst) ps