73 research outputs found

    Sleep and respiration: Implications for pulmonary rehabilitation

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    Despite the growing interest in the role of the inspiratory and accessory muscles of respiration in chronic respiratory disease, few therapists have considered the role sleep may play in the deterioration of a patient's clinical condition. A number of important physiological changes to respiration occur during sleep, which affect chest wall mechanics and gas exchange. The ensuing abnormalities caused by sleep hypoventilation and fragmentation can severely affect daytime function and wellbeing. Nocturnal nasal positive pressure ventilation (NIPPV) is now established as an effective means of preventing such changes in patients with chest wall and lung disease. Therapists involved in pulmonary rehabilitation programs must recognise the potential for nocturnal respiratory events to severely affect daytime function and understand the importance of reversing nocturnal respiratory failure in order to maximise the rehabilitation potential of patients

    Crop Updates - 2003 Weeds

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    This session covers Thirty four papers from different authors INTRODUCTION INTEGRATED WEED MANAGEMENT IWM system studies/demonstration sites Six years of IWM investigation – what does it tell us? Bill Roy, Agricultural Consulting and Research Services Pty Ltd Long term herbicide resistance site, the final chapter, Peter Newman and Glen Adam, Department of Agriculture Management of skeleton weed (chondrilla juncea) in a cropping rotation in Western Australia, J. R. Peirce and B. J. Rayner, Department of Agriculture WEED BIOLOGY AND COMPETITION Annual ryegrass seedbanks: The good, the bad and the ugly, Kathryn J. Steadman1, Amanda J. Ellery2 and Sally C. Peltzer3 , 1WA Herbicide Resistance Initiative, UWA, 2CSIRO Plant Industry, 3 Department of Agriculture Annual ryegrass seeds after-ripen faster during a hot summer, Kathryn J. Steadman1, Gavin P. Bignell1 and Amanda J. Ellery2, 1WA Herbicide Resistance Initiative, UWA, 2CSIRO Plant Industry Predicting annual ryegrass dormancy from climatic variables, Amanda Ellery, Andrew Moore, Sandy Nedelkos, Ross Chapman, CSIRO Plant Industry Removing dormancy in annual ryegrass seeds for early herbicide resistance testing, Kathryn J. Steadman and Mechelle J. Owen, WA Herbicide Resistance Initiative, UWA Annual ryegrass germination responds to nitrogen, Amanda Ellery1, Simone Dudley1 and Robert Gallagher2, 1CSIRO Plant Industry, 2Washington State University The agro-ecology of Malva parviflora (small flowered mallow), Pippa J. Michael, Kathryn J. Steadman and Julie A. Plummer, Western Australia Herbicide Resistance Initiative, School of Plant Biology, University of Western Australia The looming threat of wild radish, Peter Newman, Department of Agriculture IWM TOOLS Double knock, how close can we go? Peter Newman and Glen Adam, Department of Agriculture Double knock herbicide effect on annual ryegrass, Catherine Borger, Abul Hashem and Nerys Wilkins, Department of Agriculture Tactical techniques for managing Annual Ryegrass, Sally Peltzer1, Alex Douglas1, Fran Hoyle1, Paul Matson1 and Michael Walsh2 Department of Agriculture and 2Western Australian Herbicide Resistance Initiative. Weed control through soil inversion, Sally Peltzer, Alex Douglas and Paul Matson, Department of Agriculture The burning issues of annual ryegrass seed control, Darren Chitty and Michael Walsh, Western Australian Herbicide Resistance Initiative, UWA No sign of chaff-cart resistant ryegrass! David Ferris, WA Herbicide Resistance Initiative UWA PACKAGES AND MODELLING Conserving glyphosate susceptibility – modelling past, present and future us. Paul Neve1, Art Diggle2, Patrick Smith3 and Stephen Powles1 ,1Western Australian Herbicide Resistance Initiative, School of Plant Biology, University of Western Australia, 2Department of Agriculture, 3CSIRO Sustainable Ecosystems WEEDEM: A program for predicting weed emergence in Western Australia, Michael Walsh,1 David Archer2, James Eklund2 and Frank Forcella2, 1Western Australia Herbicide Resistance Initiative, UWA, 2USDA-Agricultural Research Service, 803 Iowa Avenue, Morris, MN 56267, USA Weed and herbicide management for long term profit: A workshop, Alister Draper1 and Rick Llewellyn12, 1WA Herbicide Resistance Initiative, 2School of Agricultural and Resource Economics, University of Western Australia HERBICIDE RESISTANCE Alternative herbicides for control of triazine and diflufenican multiple resistant wild radish, Aik Cheam1, Siew Lee1, David Nicholson1 and Mike Clarke2 1Department of Agriculture, Western Australia, 2Bayer CropScience Resistance of wild mustard biotype to ALS-inhibiting herbicides in WA Wheatbelt, Abul Hashem, Department of Agriculture Glyphosate-resistant ryegrass biotypes in the WA wheatbelt, Abul Hashem, Catherine Borger and Nerys Wilkins, Department of Agriculture Implications of herbicide rates for resistance management, Paul Neve, Western Australian Herbicide Resistance Initiative, University of Western Australia Putting a price on herbicide resistance, Rick Llewellyn, School of Agricultural and Resource Economics/WA Herbicide Resistance Initiative, University of Western Australia Herbicide resistance from over the fence: Mobility and management, Debbie Allena, Rick Llewellynb, aUniversity of Western Australia, 4th year student, 2002. Mingenew-Irwin Group, bSchool of Agricultural and Resource Economics/Western Australia Herbicide Resistance Initiative, University of Western Australia HERBICIDE TOLERANCE Herbicide tolerance of new barley varieties, Harmohinder S. Dhammu and Terry Piper, Department of Agriculture Herbicide tolerance of new lupins, Harmohinder S. Dhammu, Terry Piper and David Nicholson, Department of Agriculture Herbicide tolerance of new field pea varieties, Harmohinder S. Dhammu, Terry Piper and David Nicholson, Department of Agriculture Herbicide tolerance of new lentil varieties, H.S. Dhammu, T.J. Piper and L.E. Young, Department of Agriculture HERBICIDES – NEW PRODUCTS/PRODUCT USES; USE Kill half leaf ryegrass with Spray.Seed® at night, Peter Newman and Glenn Adam, Department of Agriculture CLEARFIELD™ wheat to control hard-to-kill weeds, Abul Hashem, Catherine Borger and Nerys Wilkins, Department of Agriculture Diuron, a possible alternative to simazine pre-emergent in lupins, Peter Newman and Glenn Adam, Department of Agriculture Dual Gold® soft on barley, soft on weeds in dry conditions, Peter Newman and Glenn Adam, Department of Agriculture Dual Gold® soft on lupins, soft on ryegrass in dry conditions, Peter Newman and Glenn Adam, Department of Agricultur

    Crop Updates 2002 - Farming Systems

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    This session covers forty one papers from different authors: INTRODUCTION 1. Future Farming Systems session for Crop Updates 2002 Peter Metcalf, FARMING SYSTEMS SUBPROGRAM MANAGER GRAINS PROGRAM Department of Agriculture 2. Perennial pastures in annual cropping systems: Lucerne and beyond, the ‘Big Picture’, Mike Ewing, Deputy CEO CRC for Plant-based Management of Dryland Salinity, Department of Agriculture 3. Perennial pastures in annual cropping systems: lucerne and beyond, Roy Latta and Keith Devenish, Department of Agriculture 4. Establishing Lucerne with a cover crop, Diana Fedorenko1, Clayton Butterly1, Chantelle Butterly1, Kim and Neil Diamond2, Stuart McAlpine2, Bill Bowden1, Jessica Johns3, 1Centre for Cropping Systems, Northam, 2Farmer, Buntine, 3Department of Agriculture 5. Overcropping: Chemical suppression of Lucerne, Terry Piper1, Diana Fedorenko1, Clayton Butterly1, Chantelle Butterly1, Stuart McAlpine2, Jessica Johns3, 1Centre for Cropping Systems, Northam, 2Farmer, Buntine, 3Department of Agriculture 6. Overcropping: Effect of Lucerne density on crop yield, Diana Fedorenko1, Bill Bowden1, Clayton Butterly1, Chantelle Butterly1, Stuart McAlpine2, Terry Piper1,1Centre for Cropping Systems, Department of Agriculture, Northam, 2Farmer, Buntine 7. Residual effect of weed management in the third year of Lucerne on the following wheat crop, Diana Fedorenko1, Clayton Butterly1, Chantelle Butterly1, Stuart McAlpine2,Terry Piper1, David Bowran1, Jessica Johns3,1Centre for Cropping Systems, Northam, 2Farmer, Buntine, 3Department of Agriculture 8. Production of Lucerne and serradella in four soil types, Diana Fedorenko1 Clayton Butterly1, Chantelle Butterly1, Robert Beard2 1Centre for Cropping Systems, Department of Agriculture, 2Farmer, Cunderdin 9. The effect of spray topping on newly established Lucerne, Keith Devenish, Agriculture Western Australia 10. Leakage from phase rotations involving Lucerne, Phil Ward, CSIRO Plant Industry 11. Fungal diseases present in Western Australian Lucerne crops, Dominie Wright and Nichole Burges, Department of Agriculture 12. Survey of Western Australian Lucerne stands reveals widespread virus infection, Roger Jones and Danae Harman, Crop Improvement Institute, Department of Agriculture, and Centre for Legumes in Mediterranean Agriculture, University of WA ANNUAL PASTURE SYSTEMS 13. The use of Twist Fungus as a biosecurity measure against Annual Ryegrass Toxicity (ARGT), Greg Shea, GrainGuard Coordinator and George Yan, Biological and Resource Technology 14.Limitations and opportunities for increasing water use by annual crops and pastures, David Tennant1, Phil Ward2and David Hall1 1Department of Agriculture, 2CSIRO, Plant Industries, Floreat Park 15. Developing pasture species mixtures for more productive and sustainable cropping systems – 2001 crop performance, Anyou Liu, Clinton Revell and Candy Hudson, Centre for Cropping Systems, Department of Agriculture 16. Developing pasture species mixtures for more productive and sustainable cropping systems – weed management in regenerating mixtures, Anyou Liu and Clinton Revell, Centre for Cropping Systems, Department of Agriculture 17. Aphid tolerance of annual pasture legumes, Andrew Blake, Natalie Lauritsen, Department of Agriculture 18. Selecting the right variety for phase pasture systems, Keith Devenish, Department of Agriculture 19. Responses of alternative annual pasture and forage legumes to challenge with infectious subterranean clover mottle virus, John Fosu-Nyarko, Roger Jones, Lisa Smith, Mike Jones and Geoff Dwyer, State Agricultural Biotechnology Centre and Centre for Bioinformatics and Biological Computing, Murdoch University, Department of Agriculture, and Centre for Legumes in Mediterranean Agriculture SOIL AND LAND MANAGEMENT 20. Nutrition in 2002: Decisions to be made as a result of last season, Bill Bowden,Western Australia Department of Agriculture 21. Profitability of deep banding lime, Michael O\u27Connell, Chris Gazey and David Gartner, Department of Agriculture 22. Lime efficiency percentage…the new measure of lime effectiveness for Western Australia, Amanda Miller, Department of Agriculture 23. Boron – should we be worried about it, Richard W. BellA, K. FrostA, Mike WongBand Ross BrennanC ASchool of Environmental Science, Murdoch University, BCSIRO Land and Water, CDepartment of Agriculture 24. Impact of claying and other amelioration on paddock profit, N.J. Blake1, G. McConnell2, D. Patabendige1and N. Venn11Department of Agriculture, 2PlanFarm P/L 25. Raised bed farming in the 2001 growing season, Derk Bakker, Greg Hamilton, Dave Houlbrooke and Cliff Spann, Department of Agriculture 26. Economics of tramline farming systems, Paul Blackwell and Bindi Webb, Department of Agriculture, Stuart McAlpine, Liebe Group. 27. Relay planting from Tramlines to increase water use and productivity os summer crops, Dr Paul Blackwell, Department of Agriculture, Neil and Kim Diamond, Buntine. Liebe Group 28.Evidence-based zone management of paddock variability to improve profits and environmental outcomes, M.T.F. WongA, D. PatabendigeB, G. LyleA and K. WittwerA ACSIRO Land and Water, BDepartment of Agriculture 29. How much soil water is lost over summer in sandy soils? Perry Dolling1, Senthold Asseng2, Ian Fillery2, Phil Ward2and Michael Robertson3 1University of Western Australia/Department of Agriculture Western Australia/CSIRO, 2CSIRO Plant Industry 3CSIRO Sustainable Ecosystems, Indooroopilly, Queensland FARMER DECISION SUPPORT AND ADOPTION 30. Economic comparisons of farming systems for the medium rainfall northern sandplain, No 1, Caroline Peek and David Rogers, Department of Agriculture 31. Sensitivity analysis of farming systems for the medium rainfall northern sandplain No 2, Caroline Peek and David Rogers, Department of Agriculture 32. Transition analysis of farming systems in the medium rainfall northern sandplain. No 3, Caroline Peek and David Rogers, Department of Agriculture 33. Implementing on-farm quality assurance, Peter Portmann, Manager Research and Development, The Grain Pool of Western Australia 34. On-farm research – principles of the ‘Test As You Grow’ kit, Jeff Russell, Department of Agriculture 35. Broadscale wheat variety comparisons featuring Wyalkatchem, Jeff Russell, Department of Agriculture 36. GrainGuardÔ - A biosecurity plan for the Canola Industry,Greg Shea Department of Agriculture 37. Are Western Australian broadacre farms efficient? Ben Henderson, University of Western Australia, Ross Kingwell, Department of Agriculture and University of Western Australia DISEASE MODELLING WORKSHOP 38. WORKSHOP: Pest and disease forecasts for you! An interactive forum, Tresslyn Walmsley, Jean Galloway, Debbie Thackray, Moin Salam and Art Diggle, Centre for Legumes in Mediterranean Agriculture and Department of Agriculture 39. Blackspot spread: Disease models are based in reality (Workshop paper 1), JeanGalloway,Department of Agriculture 40. Blackspot spread: Scaling-up field data to simulate ‘Baker’s farm’ (Workshop paper 2), Moin U. Salam, Jean Galloway, Art J. Diggle and William J. MacLeod, Department of Agriculture, Western Australia 41. A decision support system for control of aphids and CMV in lupin crops (Workshop paper 3), Debbie Thackray, Jenny Hawkes and Roger Jones, Centre for Legumes in Mediterranean Agriculture and Department of Agricultur

    Safety, immunogenicity, and reactogenicity of BNT162b2 and mRNA-1273 COVID-19 vaccines given as fourth-dose boosters following two doses of ChAdOx1 nCoV-19 or BNT162b2 and a third dose of BNT162b2 (COV-BOOST): a multicentre, blinded, phase 2, randomised trial

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    The impact of immediate breast reconstruction on the time to delivery of adjuvant therapy: the iBRA-2 study

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    Background: Immediate breast reconstruction (IBR) is routinely offered to improve quality-of-life for women requiring mastectomy, but there are concerns that more complex surgery may delay adjuvant oncological treatments and compromise long-term outcomes. High-quality evidence is lacking. The iBRA-2 study aimed to investigate the impact of IBR on time to adjuvant therapy. Methods: Consecutive women undergoing mastectomy ± IBR for breast cancer July–December, 2016 were included. Patient demographics, operative, oncological and complication data were collected. Time from last definitive cancer surgery to first adjuvant treatment for patients undergoing mastectomy ± IBR were compared and risk factors associated with delays explored. Results: A total of 2540 patients were recruited from 76 centres; 1008 (39.7%) underwent IBR (implant-only [n = 675, 26.6%]; pedicled flaps [n = 105,4.1%] and free-flaps [n = 228, 8.9%]). Complications requiring re-admission or re-operation were significantly more common in patients undergoing IBR than those receiving mastectomy. Adjuvant chemotherapy or radiotherapy was required by 1235 (48.6%) patients. No clinically significant differences were seen in time to adjuvant therapy between patient groups but major complications irrespective of surgery received were significantly associated with treatment delays. Conclusions: IBR does not result in clinically significant delays to adjuvant therapy, but post-operative complications are associated with treatment delays. Strategies to minimise complications, including careful patient selection, are required to improve outcomes for patients

    Development and Validation of a Risk Score for Chronic Kidney Disease in HIV Infection Using Prospective Cohort Data from the D:A:D Study

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    Ristola M. on työryhmien DAD Study Grp ; Royal Free Hosp Clin Cohort ; INSIGHT Study Grp ; SMART Study Grp ; ESPRIT Study Grp jäsen.Background Chronic kidney disease (CKD) is a major health issue for HIV-positive individuals, associated with increased morbidity and mortality. Development and implementation of a risk score model for CKD would allow comparison of the risks and benefits of adding potentially nephrotoxic antiretrovirals to a treatment regimen and would identify those at greatest risk of CKD. The aims of this study were to develop a simple, externally validated, and widely applicable long-term risk score model for CKD in HIV-positive individuals that can guide decision making in clinical practice. Methods and Findings A total of 17,954 HIV-positive individuals from the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) study with >= 3 estimated glomerular filtration rate (eGFR) values after 1 January 2004 were included. Baseline was defined as the first eGFR > 60 ml/min/1.73 m2 after 1 January 2004; individuals with exposure to tenofovir, atazanavir, atazanavir/ritonavir, lopinavir/ritonavir, other boosted protease inhibitors before baseline were excluded. CKD was defined as confirmed (>3 mo apart) eGFR In the D:A:D study, 641 individuals developed CKD during 103,185 person-years of follow-up (PYFU; incidence 6.2/1,000 PYFU, 95% CI 5.7-6.7; median follow-up 6.1 y, range 0.3-9.1 y). Older age, intravenous drug use, hepatitis C coinfection, lower baseline eGFR, female gender, lower CD4 count nadir, hypertension, diabetes, and cardiovascular disease (CVD) predicted CKD. The adjusted incidence rate ratios of these nine categorical variables were scaled and summed to create the risk score. The median risk score at baseline was -2 (interquartile range -4 to 2). There was a 1: 393 chance of developing CKD in the next 5 y in the low risk group (risk score = 5, 505 events), respectively. Number needed to harm (NNTH) at 5 y when starting unboosted atazanavir or lopinavir/ritonavir among those with a low risk score was 1,702 (95% CI 1,166-3,367); NNTH was 202 (95% CI 159-278) and 21 (95% CI 19-23), respectively, for those with a medium and high risk score. NNTH was 739 (95% CI 506-1462), 88 (95% CI 69-121), and 9 (95% CI 8-10) for those with a low, medium, and high risk score, respectively, starting tenofovir, atazanavir/ritonavir, or another boosted protease inhibitor. The Royal Free Hospital Clinic Cohort included 2,548 individuals, of whom 94 individuals developed CKD (3.7%) during 18,376 PYFU (median follow-up 7.4 y, range 0.3-12.7 y). Of 2,013 individuals included from the SMART/ESPRIT control arms, 32 individuals developed CKD (1.6%) during 8,452 PYFU (median follow-up 4.1 y, range 0.6-8.1 y). External validation showed that the risk score predicted well in these cohorts. Limitations of this study included limited data on race and no information on proteinuria. Conclusions Both traditional and HIV-related risk factors were predictive of CKD. These factors were used to develop a risk score for CKD in HIV infection, externally validated, that has direct clinical relevance for patients and clinicians to weigh the benefits of certain antiretrovirals against the risk of CKD and to identify those at greatest risk of CKD.Peer reviewe

    Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study

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    Introduction: The multiorgan impact of moderate to severe coronavirus infections in the post-acute phase is still poorly understood. We aimed to evaluate the excess burden of multiorgan abnormalities after hospitalisation with COVID-19, evaluate their determinants, and explore associations with patient-related outcome measures. Methods: In a prospective, UK-wide, multicentre MRI follow-up study (C-MORE), adults (aged ≥18 years) discharged from hospital following COVID-19 who were included in Tier 2 of the Post-hospitalisation COVID-19 study (PHOSP-COVID) and contemporary controls with no evidence of previous COVID-19 (SARS-CoV-2 nucleocapsid antibody negative) underwent multiorgan MRI (lungs, heart, brain, liver, and kidneys) with quantitative and qualitative assessment of images and clinical adjudication when relevant. Individuals with end-stage renal failure or contraindications to MRI were excluded. Participants also underwent detailed recording of symptoms, and physiological and biochemical tests. The primary outcome was the excess burden of multiorgan abnormalities (two or more organs) relative to controls, with further adjustments for potential confounders. The C-MORE study is ongoing and is registered with ClinicalTrials.gov, NCT04510025. Findings: Of 2710 participants in Tier 2 of PHOSP-COVID, 531 were recruited across 13 UK-wide C-MORE sites. After exclusions, 259 C-MORE patients (mean age 57 years [SD 12]; 158 [61%] male and 101 [39%] female) who were discharged from hospital with PCR-confirmed or clinically diagnosed COVID-19 between March 1, 2020, and Nov 1, 2021, and 52 non-COVID-19 controls from the community (mean age 49 years [SD 14]; 30 [58%] male and 22 [42%] female) were included in the analysis. Patients were assessed at a median of 5·0 months (IQR 4·2–6·3) after hospital discharge. Compared with non-COVID-19 controls, patients were older, living with more obesity, and had more comorbidities. Multiorgan abnormalities on MRI were more frequent in patients than in controls (157 [61%] of 259 vs 14 [27%] of 52; p<0·0001) and independently associated with COVID-19 status (odds ratio [OR] 2·9 [95% CI 1·5–5·8]; padjusted=0·0023) after adjusting for relevant confounders. Compared with controls, patients were more likely to have MRI evidence of lung abnormalities (p=0·0001; parenchymal abnormalities), brain abnormalities (p<0·0001; more white matter hyperintensities and regional brain volume reduction), and kidney abnormalities (p=0·014; lower medullary T1 and loss of corticomedullary differentiation), whereas cardiac and liver MRI abnormalities were similar between patients and controls. Patients with multiorgan abnormalities were older (difference in mean age 7 years [95% CI 4–10]; mean age of 59·8 years [SD 11·7] with multiorgan abnormalities vs mean age of 52·8 years [11·9] without multiorgan abnormalities; p<0·0001), more likely to have three or more comorbidities (OR 2·47 [1·32–4·82]; padjusted=0·0059), and more likely to have a more severe acute infection (acute CRP >5mg/L, OR 3·55 [1·23–11·88]; padjusted=0·025) than those without multiorgan abnormalities. Presence of lung MRI abnormalities was associated with a two-fold higher risk of chest tightness, and multiorgan MRI abnormalities were associated with severe and very severe persistent physical and mental health impairment (PHOSP-COVID symptom clusters) after hospitalisation. Interpretation: After hospitalisation for COVID-19, people are at risk of multiorgan abnormalities in the medium term. Our findings emphasise the need for proactive multidisciplinary care pathways, with the potential for imaging to guide surveillance frequency and therapeutic stratification

    American College of Rheumatology Provisional Criteria for Clinically Relevant Improvement in Children and Adolescents With Childhood-Onset Systemic Lupus Erythematosus

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    10.1002/acr.23834ARTHRITIS CARE & RESEARCH715579-59
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