163 research outputs found
Opportunistic pathology-based screening for diabetes
OBJECTIVE To determine the potential of opportunistic glycated haemoglobin (HbA1c) testing of pathology samples to detect previously unknown diabetes. DESIGN Pathology samples from participants collected for other reasons and suitable for HbA1c testing were utilised for opportunistic diabetes screening. HbA1c was measured with a Biorad Variant II turbo analyser and HbA1c levels of ≥6.5% (48 mmol/mol) were considered diagnostic for diabetes. Confirmation of previously unknown diabetes status was obtained by a review of hospital medical records and phone calls to general practitioners. SETTING Hospital pathology laboratory receiving samples from hospital-based and community-based (CB) settings. PARTICIPANTS Participants were identified based on the blood sample collection location in the CB, emergency department (ED) and inpatient (IP) groups. Exclusions pretesting were made based on the electronic patient history of: age <18 years, previous diabetes diagnosis, query for diabetes status in the past 12 months, evidence of pregnancy and sample collected postsurgery or transfusion. Only one sample per individual participant was tested. RESULTS Of the 22 396 blood samples collected, 4505 (1142 CB, 1113 ED, 2250 IP) were tested of which 327 (7.3%) had HbA1c levels ≥6.5% (48 mmol/mol). Of these 120 (2.7%) were determined to have previously unknown diabetes (11 (1%) CB, 21 (1.9%) ED, 88 (3.9%) IP). The prevalence of previously unknown diabetes was substantially higher (5.4%) in hospital-based (ED and IP) participants aged over 54 years. CONCLUSIONS Opportunistic testing of referred pathology samples can be an effective method of screening for diabetes, especially in hospital-based and older persons.This project was supported by a grant from the Canberra Hospital
Private Practice Trust Fund
The occurrence of ecto-parasitic Leptus sp. mites on Africanised honey bees
Honey bee-mite-pathogen associations have led to the widespread collapse of Apis mellifera colonies in various parts of the world. The global trade in bees continues to expose honey bees to new pests and pathogens. Here we highlight to the beekeeping community a potential new mite-pathogen association. In South America ecto-parasitic Leptus mite larvae have been recorded parasitising adult honey bees and these mites are known to transmit Spiroplasma bacteria the causative agent of 'Mays disease' in bees. Here we provide new data and review past studies on Leptus mites and discuss the potential risk to A. mellifera this mite may pose in the future
Beyond the Berger Inquiry: Can extractive resource development help the sustainability of Canada’s arctic communities?
The four decades since the Berger Inquiry have produced a large body of research demonstrating the positive and negative impacts of resource development on northern communities. However, little independent research has aimed to yield an understanding of how best to manage the impacts of resource development and to harness its benefits in ways that can promote long-term sustainable development. This question was the impetus for the Resources and Sustainable Development in the Arctic (ReSDA) research project funded by the Social Sciences and Humanities Research Council of Canada in 2011. Representing a network of researchers, community members and organizations, ReSDA researchers conducted a series of analyses that focused on what was needed to ensure that northern communities received more benefits from resource development and potential negative impacts were mitigated. Overall, the analyses highlight the serious gaps that remain in our ability to ensure that resource development projects improve the sustainability of Arctic communities. These gaps include a proper understanding of cumulative impacts, the ability of communities to adequately participate in new regulatory processes, the non-economic aspects of well-being, the effects of impact and benefit agreements and new financial benefits, and new mitigation activities
The role of social capital in participatory arts for wellbeing: findings from a qualitative systematic review
BACKGROUND:Social capital is often cited as shaping impacts of participatory arts, although the concept has not been systematically mapped in arts, health and wellbeing contexts. In wider health inequalities research, complex, differential, and sometimes negative impacts of social capital have been recognised. METHODS:This paper maps of social capital concepts in qualitative research as part of the UK What Works for Wellbeing evidence review programme on culture, sport and wellbeing. RESULTS:Studies often cite positive impacts of bonding and, to a lesser extent, bridging social capital. However, reported challenges suggest the need for a critical approach. Forms of linking social capital, such as reframing and political engagement to address social divisions, are less often cited but may be important in participatory arts and wellbeing. CONCLUSIONS:Future research should further specify dimensions of social capital as well as their nuanced effects in arts, and wellbeing contexts
The Melbourne epidemic thunderstorm asthma event 2016: an investigation of environmental triggers, effect on health services, and patient risk factors.
BACKGROUND: A multidisciplinary collaboration investigated the world's largest, most catastrophic epidemic thunderstorm asthma event that took place in Melbourne, Australia, on Nov 21, 2016, to inform mechanisms and preventive strategies. METHODS: Meteorological and airborne pollen data, satellite-derived vegetation index, ambulance callouts, emergency department presentations, and data on hospital admissions for Nov 21, 2016, as well as leading up to and following the event were collected between Nov 21, 2016, and March 31, 2017, and analysed. We contacted patients who presented during the epidemic thunderstorm asthma event at eight metropolitan health services (each including up to three hospitals) via telephone questionnaire to determine patient characteristics, and investigated outcomes of intensive care unit (ICU) admissions. FINDINGS: Grass pollen concentrations on Nov 21, 2016, were extremely high (>100 grains/m3). At 1800 AEDT, a gust front crossed Melbourne, plunging temperatures 10°C, raising humidity above 70%, and concentrating particulate matter. Within 30 h, there were 3365 (672%) excess respiratory-related presentations to emergency departments, and 476 (992%) excess asthma-related admissions to hospital, especially individuals of Indian or Sri Lankan birth (10% vs 1%, p<0·0001) and south-east Asian birth (8% vs 1%, p<0·0001) compared with previous 3 years. Questionnaire data from 1435 (64%) of 2248 emergency department presentations showed a mean age of 32·0 years (SD 18·6), 56% of whom were male. Only 28% had current doctor-diagnosed asthma. 39% of the presentations were of Asian or Indian ethnicity (25% of the Melbourne population were of this ethnicity according to the 2016 census, relative risk [RR] 1·93, 95% CI 1·74-2·15, p <0·0001). Of ten individuals who died, six were Asian or Indian (RR 4·54, 95% CI 1·28-16·09; p=0·01). 35 individuals were admitted to an intensive care unit, all had asthma, 12 took inhaled preventers, and five died. INTERPRETATION: Convergent environmental factors triggered a thunderstorm asthma epidemic of unprecedented magnitude, tempo, and geographical range and severity on Nov 21, 2016, creating a new benchmark for emergency and health service escalation. Asian or Indian ethnicity and current doctor-diagnosed asthma portended life-threatening exacerbations such as those requiring admission to an ICU. Overall, the findings provide important public health lessons applicable to future event forecasting, health care response coordination, protection of at-risk populations, and medical management of epidemic thunderstorm asthma. FUNDING: None
An integrative review exploring decision-making factors influencing mental health nurses in the use of restraint
Introduction: While mechanical and manual restraint as an institutional method of control within mental health settings may be perceived to seem necessary at times, there is emergent literature highlighting the potential counter-therapeutic impact of this practice for patients as well as staff. Nurses are the professional group who are most likely to use mechanical and manual restraint methods within mental health settings. In-depth insights to understand what factors influence nurses’ decision-making related to restraint use are therefore warranted.
Aim: To explore what influences mental health nurses’ decision-making in the use of restraint. Method: An integrative review using Cooper’s framework was undertaken. Results: Eight emerging themes were identified: ‘safety for all’, ‘restraint as a necessary intervention’, ‘restraint as a last resort’, ‘role conflict’, ‘maintaining control’, ‘staff composition’, ‘knowledge and perception of patient behaviours’, and ‘psychological impact’. These themes highlight how mental health nurses’ decision-making is influenced by ethical and safety responsibilities, as well as, interpersonal and staff-related factors.
Conclusion: Research to further understand the experience and actualization of ‘last resort’ in the use of restraint and to provide strategies to prevent restraint use in mental health settings are needed
Enzymatic Glucose Based Bio batteries: Bioenergy to Fuel Next Generation Devices
[EN] This article consists of a review of the main concepts and paradigms established in the field of biological fuel cells or biofuel cells. The aim is to provide an overview of the current panorama, basic concepts, and methodologies used in the field of enzymatic biofuel cells, as well as the applications of these bio-systems in flexible electronics and implantable or portable devices. Finally, the challenges needing to be addressed in the development of biofuel cells capable of supplying power to small size devices with applications in areas related to health and well-being or next-generation portable devices are analyzed. The aim of this study is to contribute to biofuel cell technology development; this is a multidisciplinary topic about which review articles related to different scientific areas, from Materials Science to technology applications, can be found. With this article, the authors intend to reach a wide readership in order to spread biofuel cell technology for different scientific profiles and boost new contributions and developments to overcome future challenges.Financial support from the Spanish Ministry of Science, Innovation and University, through the State Program for Talent and Employability Promotion 2013-2016 by means of Torres Quevedo research contract in the framework of Bio2 project (PTQ-14-07145) and from the Instituto Valenciano de Competitividad Empresarial-IVACE-GVA (BioSensCell project)Buaki-Sogo, M.; García-Carmona, L.; Gil Agustí, MT.; Zubizarreta Saenz De Zaitegui, L.; García Pellicer, M.; Quijano-Lopez, A. (2020). Enzymatic Glucose Based Bio batteries: Bioenergy to Fuel Next Generation Devices. Topics in Current Chemistry (Online). 378(6):1-28. https://doi.org/10.1007/s41061-020-00312-8S1283786Schlögl R (2015) The revolution continues: Energiewende 2.0. Angew Chem Int Ed 54:4436–4439Mitcheson PD, Yeatman EM, Rao GK, Holmes AS, Green TC (2008) Energy harvesting from human and machine motion for wireless electronic devices. Proc IEEE 96(9):1457–1486Wang ZL, Wu W (2012) Nanotechnology-enabled energy harvesting for self-powered micro-/nanosystems. Angew Chem Int Ed 51:11700-11721Lamy C, Lima A, LeRhun V, Delime F, Coutanceau C, Léger J-M (2002) Recent advances in the development of direct alcohol fuel cells (DAFC). J Power Sources 105:283Cheng X, Shi Z, Glass N, Zhang L, Zhang J, Song D, Liu Z-S, Wang H, Shen J (2007) A review of PEM hydrogen fuel cell contamination: impacts, mechanisms, and mitigation. J Power Sources 165:739Boudghere Stambouli A, Traversa E (2002) Solid oxide fuel cells (SOFC): a review of an environmentally clean and efficient source of energy. Renew Sustain Energy Rev 6:433–455Qiao Y, Li CM (2011) Nanostructured catalyst in fuel cells. J Mater Chem 21:4027–4036Edwards PP, Kuznetsov VL, David WIF, Brandon NP (2008) Hydrogen and fuel cells: towards sustainable energy future. Energy Policy 36:4356–4362Kirubakaran A, Jain S, Nema RK (2009) A review on fuel cell technologies and power electronic interface. Renew Sustain Energy 13:2430–2440Kerzenmacher S, Ducree J, Zengerle R, von Stetten F (2008) An abiotically catalyzed glucose fuel cell for powering medical implants: reconstructed manufacturing protocol and analysis of performance. J Power Sources 182:66–75Drake RF, Kusserow BK, Messinger S, Matsuda S (1970) A tissue implantable fuel cell power supply. Trans Am Soc Artif Intern Organs 16:199–205Giner J, Holleck G, Malachesky PA (1973) Eine implantierbare Brennstoffzelle zum Betrieb eines mechanischen Herzens. Phys Chem 77:782–783. https://doi.org/10.1002/bbpc.19730771009Cosnier S, LeGoff A, Holzinger M (2014) Towards glucose biofuel cells implanted in human body for powering artificial organs: review. Electrochem Commun 38:19–23Katz E (2015) Implantable biofuel cells operating in vivo—potential power sources for bioelectronic devices. Bioelectron Med 2:1–12Bullen RA, Arnot TC, Lakeman JB, Walsh FC (2006a) Biofuel cells and their development . Biosens Bioelectron 21:2015–2045Cooney MJ, Svoboda V, Lau C, Martin G, Minteer SD (2008) Enzyme catalysed biofuel cells. Energy Environ Sci 1:320–337Cracknell JA, Vincent KA, Armstrong FA (2008) Enzymes as working or inspirational electrocatalysts for fuel cells and electrolysis. Chem Rev 108:2439–2461Sheldon RA (2007) Enzyme immobilization: the quest for optimum performance. Adv Synth Catal 349:1289–1307Bullen RA, Arnot TC, Lakeman JB, Walsh FC (2006b) Biofuel cells and their development. Biosens Bioelectron 21:2015–2045Koch C, Popiel D, Harnisch F (2014) Functional redundancy of microbial anodes fed by domestic wastewater. ChemElectroChem 1:1923–1931Mano N, Mao F, Heller A (2003) Characteristics of a miniature compartment-less glucose−O2 biofuel cell and its operation in a living plant. J Am Chem Soc 125(21):6588–6594Mano N, Mao F, Heller A (2002) A miniature biofuel cell operating in a physiological buffer. J Am Chem Soc 124(44):12962–12963Bruen D, Delaney C, Florea L, Diamond D (2017) Glucose sensing for diabetes monitoring: recent developments. Sensors 17:1866Falk M, Blum Z, Shleev S (2012) Direct electron transfer based enzymatic fuel cells. Electrochim Acta 82:191–202White HB (1976) Coenzymes as fossils of an earlier metabolic state. J Mol Evol 7:101–104Broderick JB (2001) Coenzymes and cofactors. In: eLS. Wiley, Chichester. https://www.els.net. https://doi.org/10.1038/npg.els.0000631Sakurai T, Kataoka K (2007) Basic and applied features of multicopper oxidases, CueO, bilirubin oxidase, and laccase. Chem Rec 7:220–229Bankar SB, Bule MV, Singhal RS, Ananthanarayan L (2009) Glucose oxidase—an overview. Biotech Adv 27:489–501Ferri S, Kojima K, Sode K (2011) Review of glucose oxidases and glucose dehydrogenases: a bird’s eye view of glucose sensing enzymes. J Diabetes Sci Technol 5:1068–1076Katz E, MacVittie K (2013) Implanted biofuel cells operating in vivo—methods, applications and perspectives—feature article. Energy Environ Sci 6:2791–2803Ghindilis AL, Atanasov P, Wilkins E (1997) Enzyme catalysed direct electron transfer: fundamentals and analytical applications. Electroanalysis 9:661–674Von Woedtke Th, Fisher U, Abel P (1994) Glucose oxidase electrodes: effect of H2O2 on enzyme activity? Biosens Bioelectron 9:65–71Kleppe K (1966) The effect of H2O2 on glucose oxidase from Aspergillus niger. Biochemistry 5:139–143Zebda A, Godran C, Le Goff A, Holzinger M, Cinquin P, Cosnier S (2011) Mediatorless high-power glucose biofuel cells based on compressed carbon nanotube-enzyme electrodes. Nat Commun 2:370Borenstein A, Hanna O, Attias R, Luski S, Brousse T, Aurbach D (2017) Carbon-based composite materials for supercapacitor electrodes: a review. J Mater Chem A 5:12653–12672Angione MD, Pilolli R, Cotrone S, Magliulo M, Mallardi A, Palazzo G, Sabbatini L, Fine D, Dodabalapur A, Lioffi N, Torsi L (2011) Carbon based nanomaterials for electronic bio-sensing. Mat Today 14:424–433Cha C, Shin SR, Annabi N, Dokmeci MR, Khademhosseini A (2013) Carbon based nanomaterials: multifunctional materials for biomedical engineering. ACS Nano 7:2891–2897Wang Z, Dai Z (2015) Carbon nanomaterials-based electrochemical biosensors: an overview. Nanoscale 7:6420–6431Jariwala D, Sangwan VK, Lauhon LJ, Marks TJ, Hersam MC (2013) Carbon nanomaterials for electronics, optoelectronics, photovoltaics and sensing. Chem Soc Rev 42:2824–2860Babadi AA, Bagheri S, Abdul Hamid SB (2016) Progress on implantable biofuel cell: nano-carbon functionalization for enzyme immobilization enhancement. Biosens Bioelectron 15:850–860Osadebe I, Leech D (2014) Effect of multi-walled carbon nanotubes on glucose oxidation by glucose oxidase or a flavin-dependent glucose dehydrogenase in redox-polymer-mediated enzymatic fuel cell anodes. ChemElectroChem 1:1988–1993Si P, Huang Y, Wang T, Ma J (2013) Nanomaterials for electrochemical non-enzymatic glucose biosensors. RSC Adv 3:3487–3502Putzbach W, Ronkainen NJ (2013) Immobilization techniques in the fabrication of nanomaterial-based electrochemical biosensors: a review. Sensors 13(4):4811–4840Walcarius A, Minteer SD, Wang J, Lin Y, Merkoçi A (2013) Nanomaterials for bio-functionalized electrodes: recent trends. J Mater Chem B 1:4878–4908Datta S, Christena LR, Rajaram YRS (2013) Enzyme immobilization: an overview on techniques and support materials. 3 Biotech 3(1):1–9Ivanov I, Vidaković-Koch T, Sundmaker K (2010) Recent advances in enzymatic fuel cells; experiments and modelling. Energies 3:803–846Nguyen HH, Kim M (2017) An overview of techniques in enzyme immobilization. Appl Sci Converg Technol 26(6):157–163Fu J, Reinhold J, Woodbury NW (2011) Peptide-modified surfaces for enzyme immobilization. PLoS One 6(4):e18692Lee DH, Park CH, Yeo JM, Kim SW (2006) Lipase immobilization on silica gel using a cross-linking method. J Ind Eng Chem 12(5):777–782Szymańska K, Bryjak J, Jarzębski AB (2009) Immobilization of invertase on mesoporous silicas to obtain hyper active biocatalysts. Top Catal 52:1030–1036Al-Lolage F, Meneghello M, Ma S, Ludwig R, Barlett PN (2017) A flexible method for the stable, covalent immobilization of enzymes at electrode surfaces. ChemElectroChem 4:1528–1534Gutierrez-Sanchez C, Shleev S, De Lacey AL, Pita M (2015) Third-generation oxygen amperometric biosensor based on Trametes hirsuta laccase covalently bound to graphite electrode. Chem Pap 69:237–240Pita M, Gutierrez-Sanchez C, Toscano MD, Shleev S, De Lacey AL (2013) Oxygen biosensor based on bilirubin oxidase immobilized on a nanostructured gold electrode. Bioelectrochemistry 94:69–74Vaz-Dominguez C, Campuzano S, Rüdiger O, Pita M, Gorbacheva M, Shleev S, Fernandez VM, de Lacey LA (2008) Laccase electrode for direct electrocatalytic reduction of O2 to H2O with high-operational stability and resistance to chloride inhibition. Biosens Bioelectron 24(4):531–537Gutiérrez-Sánchez C, Jia W, Beyl Y, Pita M, Schuhmann W, de Lacey LA, Stoica L (2012) Enhanced direct electron transfer between laccase and hierarchical carbon microfibers/carbon nanotubes composite electrodes. Comparison of three enzyme immobilization methods. Electrochim Acta 82:218–223Lv Y, Jin S, Wang Y, Lun Z, Xia C (2016) Recent advances in the application of nanomaterials in enzymatic glucose sensors. J Iran Chem Soc 13(10):1767–1776Zhao C, Gai P, Song R, Chen Y, Zhang J, Zhu J-J (2017) Nanostructured material-based biofuel cells: recent advances and future prospects. Chem Soc Rev 46:1545–1564Yu EH, Scott K (2010) Enzymatic biofuel cells—fabrication of enzyme electrodes. Energies 3:23–42Minteer SD, Atanassov P, Luckarift HR, Johnson GR (2013) New materials for biological fuel cells. Mater Today 15(4):166–173Sarma AK, Vatsyayan P, Goswami P, Minteer SD (2009) Recent advances in material science for developing enzyme electrodes. Biosens Bioelectron 24:2313–2322Jesionowski T, Zdarta J, Krajewska B (2014) Enzyme immobilization by adsorption: a review. Adsorption 20:801–821Sardar M, Gupta MN (2005) Immobilization of tomato pectinase on Con A-Seralose 4B by bioaffinity layering. Enzyme Microbial Technol 37:355–359Sheldon RA (2011) Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs). Appl Microbiol Biotechnol 92:467–477Velasco-Lozano S, López-Gallego F, Mateos-Díaz JC, Favela-Torres E (2015) Cross-linked enzyme aggregates (CLEA) in enzyme improvement—a review. Biocatalysis 1:166–177Cosnier S (1999) Biomolecule immobilization on electrode surfaces by entrapment or attachment to electrochemically polymerized films. A review. Biosen Bioelectron 14:443–456Heller A (1990) Electrical wiring of redox enzymes. Acc Chem Res 29:128–134Heller A (1992) Electrical connection of enzyme redox centres to electrodes. J Phys Chem 96:3579–3587Martins MVA, Pereira AR, Luz RAS, Iost RM, Crespilho FN (2014) Evidence of short-range electron transfer of a redox enzyme on graphene oxide electrodes. Phys Chem Chem Phys 16:17426–17436Luz RAS, Pereira AR, de Souza JCP, Sales FCPF, Crespilho FN (2014) Enzyme biofuel cells: thermodynamics. Kinetics and challenges in applicability. ChemElectroChem 1(11):1751–1777Neto SA, De Andrade AR (2013) New energy sources: the enzymatic biofuel cell. J Braz Chem Soc 24(12):1891–1912Rapoport BI, Kedzierski JT, Sarpeshkar R (2012) A glucose fuel cell for implantable brain–machine interfaces. PLoS One 7(6):6 e38436Zebda A, Alcaraz J-P, Vadgama P, Shleev S, Minteer SD, Boucher F, Cinquin P, Martin DK (2018) Challenges for successful implantation of biofuel cells. Bioelectrochemistry 124:57–72Ferraris RP, Diamond J (1997) Regulation of intestinal sugar transport. Physiol Rev 77:257–301Sprague JE, Arbeláez AM (2011) Glucose counterregulatory responses to hypoglicemia. Pediatr Endocrinol Rev 9:463–475Slaughter G, Kulkarni T (2019) Detection of human plasma glucose using a self-powered glucose biosensor. Energies 12:825Rathee K, Dhull V, Dhull R, Singh S (2016) Biosensors based on electrochemical lactate detection: a comprehensive review. Biochem Biophys Rep 5:35–54Koushanpour A, Gamella M, Katz E (2017) A biofuel cell based on biocatalytic reactions of lactate on both anode and cathode electrodes—extracting electrical power from human sweat. Electroanalysis 29:1602–1611Yao Y, Li H, Wang D, Liu C, Zhang C (2017) An electrochemiluminescence cloth-based biosensor with smartphone-based imaging for detection of lactate in saliva. Analyst 142:3715–3724Pankratov D, González-Arribas E, Blum Z, Shleev S (2016) Tear based bioelectronics. Electroanalysis 28:1250–1266Krogstad AL, Jansson PA, Gisslen P, Lönnroth P (1996) Microdialysis methodology for the measurement of dermal interstitial fluid in humans. Br J Dermatol 134(6):1005–1012Bandodkar AJ, Wang J (2016) Wearable biofuel cells: a review. Electroanalysis 28:1188–1200Jia W, Valdés-Ramírez G, Bandodkar AJ, Windmiller JR, Wang J (2013) Epidermal biofuel cells: energy harvesting from human perspiration. Angew Chem Int Ed 52:1–5Jeerapan I, Sempionatto JR, Pavinatto A, You J-M, Wang J (2016) Stretchable biofuel cells as wearable textile-based self-powered sensors. J Mater Chem A 4:18342–18353Valdés-Ramírez G, Li Y-G, Kima J, Jia W, Bandodkar AJ, Nuñez-Flores R, Miller PR, Wu S-Y, Narayan R, Windmiller JR, Polsky R, Wang J (2016) Microneedle-based self-powered glucose sensor. Electrochem Commun 47:58–62Gamella M, Koushanpour A, Katz E (2018) Biofuel cells—activation of micro- and macro- electronic devices. Bioelectrochemistry 119:33–42Mano N, Mao F, Shin W, Chen T, Heller A (2003) A miniature biofuel cell operating at 0.78 V. Chem Commun 20:518–519Shi B, Li Z, Fan Y (2018) Implantable energy harvesting devices. Adv Mater 30:1801511MacVittie K, Halámek J, Halámková L, Southcott M, Jemison WD, Lobel R, Katz E (2013) From “cyborg” lobsters to a pacemaker powered by implantable biofuel cells. Energy Environ Sci 6:81–86Szczupak A, Halámek J, Halámková L, Bocharova V, Alfonta L, Katz E (2012) Living battery—biofuel cells operating in vivo in clams. Energy Environ Sci 5:8891–8895Southcott M, MacVittie K, Halámek J, Halámková L, Jemison WD, Lobel R, Katz E (2013) A pacemaker powered by an implantable biofuel cell operating under conditions mimicking the human blood circulatory system—battery not included. Phys Chem Chem Phys 15:6278–6283MacVittie K, Conlon T, Katz E (2015) A wireless transmission system powered by an enzyme biofuel cell implanted in an orange. Bioelectrochemistry 106:28–33Aghahosseini H, Ramazani A, Asiabi PA, Gouranlou F, Hosseini F, Rezaei A, Min B-K, Joo SW (2016) Glucose-based biofuel cells: nanotechnology as a vital science in biofuel cell performance. Nanochem Res 1(2):83–204Zebda A, Cosnier S, Alcaraz J-P, Holzinger M, Le Goff A, Gondran C, Boucher F, Giroud F, Gorgy K, Lamraoui H, Cinquin P (2013) Single glucose biofuel cells implanted in rats power electronic devices. Sci Rep 2013:1516Ichi-Ribault SE, Alcaraz J-P, Boucher F, Boutaud B, Dalmolin R, Boutonnat J, Cinquin P, Zebda A, Martin DK (2018) Remote wireless control of an enzymatic biofuel cell implanted in a rabbit for 2 months. Electrochim Acta 269:360–366Bandodkar A (2017) Review—wearable biofuel cells: past, present and future. J Electrochem Soc 164(3):H3007–H3014Coman V, Ludwig R, Harreither W, Haltrich D, Gorton L, Ruzgas T, Shleev S (2010) A direct electron transfer-based glucose/oxygen biofuel cell operating in human serum. Fuel Cells 10(1):9–16Shoji K, Akiyama Y, Suzuki M, Nakamura N, Ohno H, Morishima K (2016) Biofuel cell backpacked insect and its application to wireless sensing. Biosens Bioelectron 78:390–395Reuillard B, Abreu C, Lalaoui N, Le Goff A, Holzinger M, Ondel O, Buret F, Cosnier S (2015) One-year stability for a glucose/oxygen biofuel cell combined with pH reactivation of the laccase/carbon nanotube biocathode. Bioelectrochemistry 106:73–76Sales FCPF, Iost RM, Martins MVA, Almeida MC, Crespilho FN (2013) An intravenous implantable glucose/dioxygen biofuel cell with modified flexible carbon fiber electrodes. Lab Chip 13:468Falk M, Narvez Villarrubia CW, Babanova S, Atanassov P, Shleev S (2013) Biofuel cells for biomedical applications: colonizing the animal kingdom. ChemPhysChem 14:2045–2058Rasmussen M, Ritzmann RE, Lee I, Pollack AJ, Scherson D (2012) An implantable biofuel cell for a live insect. J Am Chem Soc 134(3):1458–1460Halámková L, Halámek J, Bocharova V, Szczupak A, Alfonta L, Katz E (2012) Implanted biofuel cell operating in a living snail. J Am Chem Soc 134:5040–5043Cinquin P, Gondran C, Giroud F, Mazabrard S, Pellisier A, Boucher F, Alcaraz J-P, Gorgy K, Lenouvel F, Mathé S, Porcu P, Cosnier S (2010) A glucose biofuel cell implanted in rats. Plos One 5(5):e010476Chen C, Xie Q, Yang D, Xiao H, Fu Y, Tan S, Yao S (2013) Recent advances in electrochemical glucose biosensors: a review. RSC Adv 3:4473–4491Andoralov V, Falk M, Suyatin DB, Granmo M, Sotres J, Ludwig R, Popov VO, Schouenborg J, Blum Z, Shleev S (2013) Biofuel cell based on microscale nanostructured electrodes with inductive coupling to rat brain neuronsVerbeek MM, Leen WG, Willemsen MA, Slats D, Claassen JA (2016) Hourly analysis of cerebrospinal fluid glucose shows large diurnal fluctuations. J Cereb Blood F Met 36(5):899–902González-Guerrero MJ, Del Campo FJ, Esquivel JP, Leech D, Sabaté N (2017) Paper-based microfluidic biofuel cell operating under glucose concentrations within physiological range. Biosens Bioelectron 90:475–480Takeuchi ES, Leising RA (2002) Lithium batteries for biomedical applications. MRS Bull 27(8):624–627Bock DC, Marschilok A, Takeuchi KJ, Takeuchi ES (2012) Batteries used to power implantable biomedical devices. Electrochim Acta 84:155–164Greatbatch W, Lee JH, Mathias W, Eldridge M, Moser JR, Schneider AA (1971) The solid-state lithium battery: a new improved chemical power source for implantable cardiac pacemaker. IEEE Trans Biomed Eng 18(5):317–324Liu Y, Dong S (2007) A biofuel cell with enhanced power output by grape juice. Electrochem Commun 9(7):1423–1427Choi S, Lee H, Ghaffari R, Hyeon T, Kim D-H (2016) Recent advances in flexible and stretchable bio-electronic devices integrated with nanomaterials. Adv Mater 28:4203–4218Zhou L, Mao J, Ren Y, Han ST, Roy VAL, Zhou Y (2018) Recent advances of flexible data storage devices based on organic nanoscale materials. Small 14(10):1703126Gwon H, Kim H-S, Lee KU, Seo D-H, Park YC, Lee Y-S, Ahn BT, Kong K (2011) Flexible energy storage devices based on graphene paper. Energy Environ Sci 4:1277–1283Pang C, Lee C, Suh K-Y (2013) Recent advances in flexible sensors for wearable and implantable devices. J Appl Pol Sci 130:1429–1441Bandodkar AJ, Wang J (2014) Non-invasive wearable electrochemical sensors: a review. Trends Biotech 32(7):363–371Bandodkar AJ, Uia W, Wang J (2015) Tatto-based wearable electrochemical devices: a review. Electroanalysis 27(3):562–572Reid RC, Minteer SD, Gale BK (2015) Contact lens biofuel cell tested in a synthetic tear solution. Biosens Bioelectron 68:142Falk M, Andoralov V, Blum Z, Sotres J, Suyatin DM, Ruzgas T, Arnebrant T, Shleev S (2012) Biofuel cells as a power source for electronic contact lenses. Biosens Bioelectron 37(1):38–45Falk M, Andoralov V, Silow M, Toscano MD, Shleev S (2013) Miniature biofuel cell as a potential power source for Glucose-sensing contact lenses. Anal Chem 85(13):6342–6348Reid R, Jones SR, Hickey DP, Minteer SD, Gale BK (2016) Modeling carbon nanotubes connectivity and surface activity in a contact lens biofuel cell. Electrochim Acta 203:30–40Blum Z, Pankratov D, Shleev S (2014) Powering electronic contact lenses: current achievements, challenges and perspective. Expert Rev Ophthalmol 9(4):269–273Xiao X, Siepenkoetter T, Conghaile PÓ, Leech D, Magner E (2018) Nanoporous gold-based biofuel cell on contact lenses. ACS Appl Mater Interfaces 10(8):7107–7116Yang X-Y, Tian G, Jiang N, Su B-L (2012) Immobilization technology: a sustainable solution for biofuel cell design. Ener Environ Sci 5:5540–5563Mano N (2019) Engineering glucose oxidase for bioelectrochemical applications. Bioelectrochemistry 128:218–240Mate DM, Gonzalez-Perez D, Falk M, Kittl R, Pita M, De Lacey LA, Ludwig R, Shleev S, Alcalde M (2013) Blood tolerant caccase by directed evolution. Chem Biol 20:223–231Zhang L, Carucci C, Reculusa S, Goudeau B, Lefrançois P, Gounel S, Mano N, Kuhn A (2019) Rational design of enzyme-modified electrodes for optimized bioelectrocatalytic activity. ChemElectroChem 6(19):4980–4984Arechederra MN, Addo PK, Minteer SD (2011) Poly(neutral red) as a NAD+ reduction catalyst and a NADH oxidation catalyst: towards the development of a rechargeable biobattery. Electrochim Acta 56:1585Yang Y, Wang ZL (2015) Hybrid energy cells for simultaneously harvesting multi-types of energies. NanoEnergy 14:245–256Hansen BJ, Liu Y, Yang R, Wang ZL (2010) Hybrid nanogenerator for concurrently harvesting biomechanical and biochemical energy. ACS Nano 4:3647Song K, Han JH,
A simplified (modified) Duke Activity Status Index (M-DASI) to characterise functional capacity: A secondary analysis of the Measurement of Exercise Tolerance before Surgery (METS) study
Background
Accurate assessment of functional capacity, a predictor of postoperative morbidity and mortality, is essential to improving surgical planning and outcomes. We assessed if all 12 items of the Duke Activity Status Index (DASI) were equally important in reflecting exercise capacity.
Methods
In this secondary cross-sectional analysis of the international, multicentre Measurement of Exercise Tolerance before Surgery (METS) study, we assessed cardiopulmonary exercise testing and DASI data from 1455 participants. Multivariable regression analyses were used to revise the DASI model in predicting an anaerobic threshold (AT) >11 ml kg −1 min −1 and peak oxygen consumption (VO 2 peak) >16 ml kg −1 min −1, cut-points that represent a reduced risk of postoperative complications.
Results
Five questions were identified to have dominance in predicting AT>11 ml kg −1 min −1 and VO 2 peak>16 ml.kg −1min −1. These items were included in the M-DASI-5Q and retained utility in predicting AT>11 ml.kg −1.min −1 (area under the receiver-operating-characteristic [AUROC]-AT: M-DASI-5Q=0.67 vs original 12-question DASI=0.66) and VO 2 peak (AUROC-VO2 peak: M-DASI-5Q 0.73 vs original 12-question DASI 0.71). Conversely, in a sensitivity analysis we removed one potentially sensitive question related to the ability to have sexual relations, and the ability of the remaining four questions (M-DASI-4Q) to predict an adequate functional threshold remained no worse than the original 12-question DASI model. Adding a dynamic component to the M-DASI-4Q by assessing the chronotropic response to exercise improved its ability to discriminate between those with VO 2 peak>16 ml.kg −1.min −1 and VO 2 peak<16 ml.kg −1.min −1.
Conclusions
The M-DASI provides a simple screening tool for further preoperative evaluation, including with cardiopulmonary exercise testing, to guide perioperative management
Integration of the Duke Activity Status Index into preoperative risk evaluation: a multicentre prospective cohort study.
BACKGROUND: The Duke Activity Status Index (DASI) questionnaire might help incorporate self-reported functional capacity into preoperative risk assessment. Nonetheless, prognostically important thresholds in DASI scores remain unclear. We conducted a nested cohort analysis of the Measurement of Exercise Tolerance before Surgery (METS) study to characterise the association of preoperative DASI scores with postoperative death or complications. METHODS: The analysis included 1546 participants (≥40 yr of age) at an elevated cardiac risk who had inpatient noncardiac surgery. The primary outcome was 30-day death or myocardial injury. The secondary outcomes were 30-day death or myocardial infarction, in-hospital moderate-to-severe complications, and 1 yr death or new disability. Multivariable logistic regression modelling was used to characterise the adjusted association of preoperative DASI scores with outcomes. RESULTS: The DASI score had non-linear associations with outcomes. Self-reported functional capacity better than a DASI score of 34 was associated with reduced odds of 30-day death or myocardial injury (odds ratio: 0.97 per 1 point increase above 34; 95% confidence interval [CI]: 0.96-0.99) and 1 yr death or new disability (odds ratio: 0.96 per 1 point increase above 34; 95% CI: 0.92-0.99). Self-reported functional capacity worse than a DASI score of 34 was associated with increased odds of 30-day death or myocardial infarction (odds ratio: 1.05 per 1 point decrease below 34; 95% CI: 1.00-1.09), and moderate-to-severe complications (odds ratio: 1.03 per 1 point decrease below 34; 95% CI: 1.01-1.05). CONCLUSIONS: A DASI score of 34 represents a threshold for identifying patients at risk for myocardial injury, myocardial infarction, moderate-to-severe complications, and new disability
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