1
|
Roberts S, Marshall AP, Bromiley L, Hopper Z, Byrnes J, Ball L, Collins PF, Kelly J. Patient-Led, Technology-Assisted Malnutrition Risk Screening in Hospital: A Feasibility Study. Nutrients 2024; 16:1139. [PMID: 38674830 PMCID: PMC11055004 DOI: 10.3390/nu16081139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 03/29/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Malnutrition risk screening is crucial to identify at-risk patients in hospitals; however, screening rates can be suboptimal. This study evaluated the feasibility, acceptability, and potential cost-effectiveness of patient-led, technology-assisted malnutrition risk screening. A prospective multi-methods study was conducted in a 750-bed public hospital in Australia. Patients were recruited from seven wards and asked to complete an electronic version of the Malnutrition Screening Tool (e-MST) on bedside computer screens. Data were collected on feasibility, acceptability, and cost. Feasibility data were compared to pre-determined criteria on recruitment (≥50% recruitment rate) and e-MST completion (≥75% completion rate). Quantitative acceptability (survey) data were analyzed descriptively. Patient interview data were analyzed thematically. The economic evaluation was from the perspective of the health service using a decision tree analytic model. Both feasibility criteria were met; the recruitment rate was 78% and all 121 participants (52% male, median age 59 [IQR 48-69] years) completed the e-MST. Patient acceptability was high. Patient-led e-MST was modeled to save $3.23 AUD per patient and yield 6.5 more true malnutrition cases (per 121 patients) with an incremental cost saving per additional malnutrition case of 0.50 AUD. Patient-led, technology-assisted malnutrition risk screening was found to be feasible, acceptable to patients, and cost-effective (higher malnutrition yield and less costly) compared to current practice at this hospital.
Collapse
Affiliation(s)
- Shelley Roberts
- School of Health Sciences and Social Work, Griffith University, Southport, QLD 4222, Australia;
- Allied Health Research, Gold Coast Hospital and Health Service, Southport, QLD 4215, Australia
| | - Andrea P. Marshall
- School of Nursing and Midwifery, Griffith University, Southport, QLD 4222, Australia;
- Nursing and Midwifery Education and Research Unit, Gold Coast Hospital and Health Service, Southport, QLD 4215, Australia
| | - Leisa Bromiley
- Nutrition and Food Services, Gold Coast Hospital and Health Service, Southport, QLD 4215, Australia;
| | - Zane Hopper
- School of Health Sciences and Social Work, Griffith University, Southport, QLD 4222, Australia;
- Nutrition and Food Services, Gold Coast Hospital and Health Service, Southport, QLD 4215, Australia;
| | - Joshua Byrnes
- Centre for Applied Health Economics, Menzies Health Institute Queensland, Griffith University, Southport, QLD 4222, Australia;
- School of Medicine and Dentistry, Griffith University, Southport, QLD 4222, Australia
| | - Lauren Ball
- Centre for Community Health and Wellbeing, The University of Queensland, St Lucia, QLD 4072, Australia;
| | - Peter F. Collins
- Faculty of Medicine and Health, Sydney Nursing School/Susan Wakil School of Nursing and Midwifery, The University of Sydney, Sydney, NSW 2006, Australia;
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia
| | - Jaimon Kelly
- Centre for Online Health, The University of Queensland, Woolloongabba, QLD 4102, Australia;
- Centre for Health Services Research, The University of Queensland, Woolloongabba, QLD 4102, Australia
| |
Collapse
|
2
|
Rosenberg E, Andersen TI, Samajdar R, Petukhov A, Hoke JC, Abanin D, Bengtsson A, Drozdov IK, Erickson C, Klimov PV, Mi X, Morvan A, Neeley M, Neill C, Acharya R, Allen R, Anderson K, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Bilmes A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Campero J, Chang HS, Chen Z, Chiaro B, Chik D, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Barba ADT, Demura S, Di Paolo A, Dunsworth A, Earle C, Faoro L, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Garcia G, Genois É, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Dau AG, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hill G, Hoffmann MR, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lensky YD, Lester BJ, Lill AT, Liu W, Locharla A, Mandrà S, Martin O, Martin S, McClean JR, McEwen M, Meeks S, Miao KC, Mieszala A, Montazeri S, Movassagh R, Mruczkiewicz W, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Omonije S, Opremcak A, Potter R, Pryadko LP, Quintana C, Rhodes DM, Rocque C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Sivak V, Skruzny J, Smith WC, Somma RD, Sterling G, Strain D, Szalay M, Thor D, Torres A, Vidal G, Villalonga B, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Neven H, Babbush R, Bacon D, Boixo S, Hilton J, Lucero E, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Khemani V, Gopalakrishnan S, Prosen T, Roushan P. Dynamics of magnetization at infinite temperature in a Heisenberg spin chain. Science 2024; 384:48-53. [PMID: 38574139 DOI: 10.1126/science.adi7877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 03/01/2024] [Indexed: 04/06/2024]
Abstract
Understanding universal aspects of quantum dynamics is an unresolved problem in statistical mechanics. In particular, the spin dynamics of the one-dimensional Heisenberg model were conjectured as to belong to the Kardar-Parisi-Zhang (KPZ) universality class based on the scaling of the infinite-temperature spin-spin correlation function. In a chain of 46 superconducting qubits, we studied the probability distribution of the magnetization transferred across the chain's center, [Formula: see text]. The first two moments of [Formula: see text] show superdiffusive behavior, a hallmark of KPZ universality. However, the third and fourth moments ruled out the KPZ conjecture and allow for evaluating other theories. Our results highlight the importance of studying higher moments in determining dynamic universality classes and provide insights into universal behavior in quantum systems.
Collapse
Affiliation(s)
- E Rosenberg
- Google Research, Mountain View, CA, USA
- Department of Physics, Cornell University, Ithaca, NY, USA
| | | | - R Samajdar
- Department of Physics, Princeton University, Princeton, NJ, USA
- Princeton Center for Theoretical Science, Princeton University, Princeton, NJ, USA
| | | | - J C Hoke
- Department of Physics, Stanford University, Stanford, CA, USA
| | - D Abanin
- Google Research, Mountain View, CA, USA
| | | | - I K Drozdov
- Google Research, Mountain View, CA, USA
- Department of Physics, University of Connecticut, Storrs, CT, USA
| | | | | | - X Mi
- Google Research, Mountain View, CA, USA
| | - A Morvan
- Google Research, Mountain View, CA, USA
| | - M Neeley
- Google Research, Mountain View, CA, USA
| | - C Neill
- Google Research, Mountain View, CA, USA
| | - R Acharya
- Google Research, Mountain View, CA, USA
| | - R Allen
- Google Research, Mountain View, CA, USA
| | | | - M Ansmann
- Google Research, Mountain View, CA, USA
| | - F Arute
- Google Research, Mountain View, CA, USA
| | - K Arya
- Google Research, Mountain View, CA, USA
| | - A Asfaw
- Google Research, Mountain View, CA, USA
| | - J Atalaya
- Google Research, Mountain View, CA, USA
| | - J C Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - A Bilmes
- Google Research, Mountain View, CA, USA
| | - G Bortoli
- Google Research, Mountain View, CA, USA
| | | | - J Bovaird
- Google Research, Mountain View, CA, USA
| | - L Brill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Research, Mountain View, CA, USA
| | - T Burger
- Google Research, Mountain View, CA, USA
| | - B Burkett
- Google Research, Mountain View, CA, USA
| | | | - J Campero
- Google Research, Mountain View, CA, USA
| | - H-S Chang
- Google Research, Mountain View, CA, USA
| | - Z Chen
- Google Research, Mountain View, CA, USA
| | - B Chiaro
- Google Research, Mountain View, CA, USA
| | - D Chik
- Google Research, Mountain View, CA, USA
| | - J Cogan
- Google Research, Mountain View, CA, USA
| | - R Collins
- Google Research, Mountain View, CA, USA
| | - P Conner
- Google Research, Mountain View, CA, USA
| | | | - A L Crook
- Google Research, Mountain View, CA, USA
| | - B Curtin
- Google Research, Mountain View, CA, USA
| | | | | | - S Demura
- Google Research, Mountain View, CA, USA
| | | | | | - C Earle
- Google Research, Mountain View, CA, USA
| | - L Faoro
- Google Research, Mountain View, CA, USA
| | - E Farhi
- Google Research, Mountain View, CA, USA
| | - R Fatemi
- Google Research, Mountain View, CA, USA
| | | | | | - E Forati
- Google Research, Mountain View, CA, USA
| | | | - B Foxen
- Google Research, Mountain View, CA, USA
| | - G Garcia
- Google Research, Mountain View, CA, USA
| | - É Genois
- Google Research, Mountain View, CA, USA
| | - W Giang
- Google Research, Mountain View, CA, USA
| | - C Gidney
- Google Research, Mountain View, CA, USA
| | - D Gilboa
- Google Research, Mountain View, CA, USA
| | | | - R Gosula
- Google Research, Mountain View, CA, USA
| | | | - J A Gross
- Google Research, Mountain View, CA, USA
| | | | - M C Hamilton
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
| | - M Hansen
- Google Research, Mountain View, CA, USA
| | | | | | - P Heu
- Google Research, Mountain View, CA, USA
| | - G Hill
- Google Research, Mountain View, CA, USA
| | | | - S Hong
- Google Research, Mountain View, CA, USA
| | - T Huang
- Google Research, Mountain View, CA, USA
| | - A Huff
- Google Research, Mountain View, CA, USA
| | | | - L B Ioffe
- Google Research, Mountain View, CA, USA
| | | | - J Iveland
- Google Research, Mountain View, CA, USA
| | - E Jeffrey
- Google Research, Mountain View, CA, USA
| | - Z Jiang
- Google Research, Mountain View, CA, USA
| | - C Jones
- Google Research, Mountain View, CA, USA
| | - P Juhas
- Google Research, Mountain View, CA, USA
| | - D Kafri
- Google Research, Mountain View, CA, USA
| | - T Khattar
- Google Research, Mountain View, CA, USA
| | - M Khezri
- Google Research, Mountain View, CA, USA
| | - M Kieferová
- Google Research, Mountain View, CA, USA
- QSI, Faculty of Engineering & Information Technology, University of Technology Sydney, Ultimo, NSW, Australia
| | - S Kim
- Google Research, Mountain View, CA, USA
| | - A Kitaev
- Google Research, Mountain View, CA, USA
| | - A R Klots
- Google Research, Mountain View, CA, USA
| | - A N Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P Laptev
- Google Research, Mountain View, CA, USA
| | - K-M Lau
- Google Research, Mountain View, CA, USA
| | - L Laws
- Google Research, Mountain View, CA, USA
| | - J Lee
- Google Research, Mountain View, CA, USA
- Department of Chemistry, Columbia University, New York, NY, USA
| | - K W Lee
- Google Research, Mountain View, CA, USA
| | | | | | - A T Lill
- Google Research, Mountain View, CA, USA
| | - W Liu
- Google Research, Mountain View, CA, USA
| | | | - S Mandrà
- Google Research, Mountain View, CA, USA
| | - O Martin
- Google Research, Mountain View, CA, USA
| | - S Martin
- Google Research, Mountain View, CA, USA
| | | | - M McEwen
- Google Research, Mountain View, CA, USA
| | - S Meeks
- Google Research, Mountain View, CA, USA
| | - K C Miao
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - M Newman
- Google Research, Mountain View, CA, USA
| | - J H Ng
- Google Research, Mountain View, CA, USA
| | - A Nguyen
- Google Research, Mountain View, CA, USA
| | - M Nguyen
- Google Research, Mountain View, CA, USA
| | - M Y Niu
- Google Research, Mountain View, CA, USA
| | | | - S Omonije
- Google Research, Mountain View, CA, USA
| | | | - R Potter
- Google Research, Mountain View, CA, USA
| | - L P Pryadko
- Department of Physics and Astronomy, University of California, Riverside, CA, USA
| | | | | | - C Rocque
- Google Research, Mountain View, CA, USA
| | - N C Rubin
- Google Research, Mountain View, CA, USA
| | - N Saei
- Google Research, Mountain View, CA, USA
| | - D Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - A Shorter
- Google Research, Mountain View, CA, USA
| | - N Shutty
- Google Research, Mountain View, CA, USA
| | - V Shvarts
- Google Research, Mountain View, CA, USA
| | - V Sivak
- Google Research, Mountain View, CA, USA
| | - J Skruzny
- Google Research, Mountain View, CA, USA
| | | | - R D Somma
- Google Research, Mountain View, CA, USA
| | | | - D Strain
- Google Research, Mountain View, CA, USA
| | - M Szalay
- Google Research, Mountain View, CA, USA
| | - D Thor
- Google Research, Mountain View, CA, USA
| | - A Torres
- Google Research, Mountain View, CA, USA
| | - G Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T White
- Google Research, Mountain View, CA, USA
| | - B W K Woo
- Google Research, Mountain View, CA, USA
| | - C Xing
- Google Research, Mountain View, CA, USA
| | | | - P Yeh
- Google Research, Mountain View, CA, USA
| | - J Yoo
- Google Research, Mountain View, CA, USA
| | - G Young
- Google Research, Mountain View, CA, USA
| | - A Zalcman
- Google Research, Mountain View, CA, USA
| | - Y Zhang
- Google Research, Mountain View, CA, USA
| | - N Zhu
- Google Research, Mountain View, CA, USA
| | - N Zobrist
- Google Research, Mountain View, CA, USA
| | - H Neven
- Google Research, Mountain View, CA, USA
| | - R Babbush
- Google Research, Mountain View, CA, USA
| | - D Bacon
- Google Research, Mountain View, CA, USA
| | - S Boixo
- Google Research, Mountain View, CA, USA
| | - J Hilton
- Google Research, Mountain View, CA, USA
| | - E Lucero
- Google Research, Mountain View, CA, USA
| | - A Megrant
- Google Research, Mountain View, CA, USA
| | - J Kelly
- Google Research, Mountain View, CA, USA
| | - Y Chen
- Google Research, Mountain View, CA, USA
| | | | - V Khemani
- Department of Physics, Stanford University, Stanford, CA, USA
| | | | - T Prosen
- Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia
| | - P Roushan
- Google Research, Mountain View, CA, USA
| |
Collapse
|
3
|
Mi X, Michailidis AA, Shabani S, Miao KC, Klimov PV, Lloyd J, Rosenberg E, Acharya R, Aleiner I, Andersen TI, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Bengtsson A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Chik D, Chou C, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Dau AG, Debroy DM, Del Toro Barba A, Demura S, Di Paolo A, Drozdov IK, Dunsworth A, Erickson C, Faoro L, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Genois É, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hoffmann MR, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Kechedzhi K, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lensky YD, Lester BJ, Lill AT, Liu W, Locharla A, Malone FD, Martin O, McClean JR, McEwen M, Mieszala A, Montazeri S, Morvan A, Movassagh R, Mruczkiewicz W, Neeley M, Neill C, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Opremcak A, Petukhov A, Potter R, Pryadko LP, Quintana C, Rocque C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Skruzny J, Smith WC, Somma R, Sterling G, Strain D, Szalay M, Torres A, Vidal G, Villalonga B, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Neven H, Babbush R, Bacon D, Boixo S, Hilton J, Lucero E, Megrant A, Kelly J, Chen Y, Roushan P, Smelyanskiy V, Abanin DA. Stable quantum-correlated many-body states through engineered dissipation. Science 2024; 383:1332-1337. [PMID: 38513021 DOI: 10.1126/science.adh9932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 02/13/2024] [Indexed: 03/23/2024]
Abstract
Engineered dissipative reservoirs have the potential to steer many-body quantum systems toward correlated steady states useful for quantum simulation of high-temperature superconductivity or quantum magnetism. Using up to 49 superconducting qubits, we prepared low-energy states of the transverse-field Ising model through coupling to dissipative auxiliary qubits. In one dimension, we observed long-range quantum correlations and a ground-state fidelity of 0.86 for 18 qubits at the critical point. In two dimensions, we found mutual information that extends beyond nearest neighbors. Lastly, by coupling the system to auxiliaries emulating reservoirs with different chemical potentials, we explored transport in the quantum Heisenberg model. Our results establish engineered dissipation as a scalable alternative to unitary evolution for preparing entangled many-body states on noisy quantum processors.
Collapse
Affiliation(s)
- X Mi
- Google Research, Mountain View, CA, USA
| | - A A Michailidis
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - S Shabani
- Google Research, Mountain View, CA, USA
| | - K C Miao
- Google Research, Mountain View, CA, USA
| | | | - J Lloyd
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | | | - R Acharya
- Google Research, Mountain View, CA, USA
| | - I Aleiner
- Google Research, Mountain View, CA, USA
| | | | - M Ansmann
- Google Research, Mountain View, CA, USA
| | - F Arute
- Google Research, Mountain View, CA, USA
| | - K Arya
- Google Research, Mountain View, CA, USA
| | - A Asfaw
- Google Research, Mountain View, CA, USA
| | - J Atalaya
- Google Research, Mountain View, CA, USA
| | - J C Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | | | - G Bortoli
- Google Research, Mountain View, CA, USA
| | | | - J Bovaird
- Google Research, Mountain View, CA, USA
| | - L Brill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Research, Mountain View, CA, USA
| | - T Burger
- Google Research, Mountain View, CA, USA
| | - B Burkett
- Google Research, Mountain View, CA, USA
| | | | - Z Chen
- Google Research, Mountain View, CA, USA
| | - B Chiaro
- Google Research, Mountain View, CA, USA
| | - D Chik
- Google Research, Mountain View, CA, USA
| | - C Chou
- Google Research, Mountain View, CA, USA
| | - J Cogan
- Google Research, Mountain View, CA, USA
| | - R Collins
- Google Research, Mountain View, CA, USA
| | - P Conner
- Google Research, Mountain View, CA, USA
| | | | - A L Crook
- Google Research, Mountain View, CA, USA
| | - B Curtin
- Google Research, Mountain View, CA, USA
| | - A G Dau
- Google Research, Mountain View, CA, USA
| | | | | | - S Demura
- Google Research, Mountain View, CA, USA
| | | | | | | | | | - L Faoro
- Google Research, Mountain View, CA, USA
| | - E Farhi
- Google Research, Mountain View, CA, USA
| | - R Fatemi
- Google Research, Mountain View, CA, USA
| | | | | | - E Forati
- Google Research, Mountain View, CA, USA
| | | | - B Foxen
- Google Research, Mountain View, CA, USA
| | - É Genois
- Google Research, Mountain View, CA, USA
| | - W Giang
- Google Research, Mountain View, CA, USA
| | - C Gidney
- Google Research, Mountain View, CA, USA
| | - D Gilboa
- Google Research, Mountain View, CA, USA
| | | | - R Gosula
- Google Research, Mountain View, CA, USA
| | - J A Gross
- Google Research, Mountain View, CA, USA
| | | | - M C Hamilton
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
| | - M Hansen
- Google Research, Mountain View, CA, USA
| | | | | | - P Heu
- Google Research, Mountain View, CA, USA
| | | | - S Hong
- Google Research, Mountain View, CA, USA
| | - T Huang
- Google Research, Mountain View, CA, USA
| | - A Huff
- Google Research, Mountain View, CA, USA
| | | | - L B Ioffe
- Google Research, Mountain View, CA, USA
| | | | - J Iveland
- Google Research, Mountain View, CA, USA
| | - E Jeffrey
- Google Research, Mountain View, CA, USA
| | - Z Jiang
- Google Research, Mountain View, CA, USA
| | - C Jones
- Google Research, Mountain View, CA, USA
| | - P Juhas
- Google Research, Mountain View, CA, USA
| | - D Kafri
- Google Research, Mountain View, CA, USA
| | | | - T Khattar
- Google Research, Mountain View, CA, USA
| | - M Khezri
- Google Research, Mountain View, CA, USA
| | - M Kieferová
- Google Research, Mountain View, CA, USA
- Centre for Quantum Software and Information (QSI), Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia
| | - S Kim
- Google Research, Mountain View, CA, USA
| | - A Kitaev
- Google Research, Mountain View, CA, USA
| | - A R Klots
- Google Research, Mountain View, CA, USA
| | - A N Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P Laptev
- Google Research, Mountain View, CA, USA
| | - K-M Lau
- Google Research, Mountain View, CA, USA
| | - L Laws
- Google Research, Mountain View, CA, USA
| | - J Lee
- Google Research, Mountain View, CA, USA
- Department of Chemistry, Columbia University, New York, NY, USA
| | - K W Lee
- Google Research, Mountain View, CA, USA
| | | | | | - A T Lill
- Google Research, Mountain View, CA, USA
| | - W Liu
- Google Research, Mountain View, CA, USA
| | | | | | - O Martin
- Google Research, Mountain View, CA, USA
| | | | - M McEwen
- Google Research, Mountain View, CA, USA
| | | | | | - A Morvan
- Google Research, Mountain View, CA, USA
| | | | | | - M Neeley
- Google Research, Mountain View, CA, USA
| | - C Neill
- Google Research, Mountain View, CA, USA
| | | | - M Newman
- Google Research, Mountain View, CA, USA
| | - J H Ng
- Google Research, Mountain View, CA, USA
| | - A Nguyen
- Google Research, Mountain View, CA, USA
| | - M Nguyen
- Google Research, Mountain View, CA, USA
| | - M Y Niu
- Google Research, Mountain View, CA, USA
| | | | | | | | - R Potter
- Google Research, Mountain View, CA, USA
| | - L P Pryadko
- Google Research, Mountain View, CA, USA
- Department of Physics and Astronomy, University of California, Riverside, CA, USA
| | | | - C Rocque
- Google Research, Mountain View, CA, USA
| | - N C Rubin
- Google Research, Mountain View, CA, USA
| | - N Saei
- Google Research, Mountain View, CA, USA
| | - D Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - A Shorter
- Google Research, Mountain View, CA, USA
| | - N Shutty
- Google Research, Mountain View, CA, USA
| | - V Shvarts
- Google Research, Mountain View, CA, USA
| | - J Skruzny
- Google Research, Mountain View, CA, USA
| | - W C Smith
- Google Research, Mountain View, CA, USA
| | - R Somma
- Google Research, Mountain View, CA, USA
| | | | - D Strain
- Google Research, Mountain View, CA, USA
| | - M Szalay
- Google Research, Mountain View, CA, USA
| | - A Torres
- Google Research, Mountain View, CA, USA
| | - G Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T White
- Google Research, Mountain View, CA, USA
| | - B W K Woo
- Google Research, Mountain View, CA, USA
| | - C Xing
- Google Research, Mountain View, CA, USA
| | - Z J Yao
- Google Research, Mountain View, CA, USA
| | - P Yeh
- Google Research, Mountain View, CA, USA
| | - J Yoo
- Google Research, Mountain View, CA, USA
| | - G Young
- Google Research, Mountain View, CA, USA
| | - A Zalcman
- Google Research, Mountain View, CA, USA
| | - Y Zhang
- Google Research, Mountain View, CA, USA
| | - N Zhu
- Google Research, Mountain View, CA, USA
| | - N Zobrist
- Google Research, Mountain View, CA, USA
| | - H Neven
- Google Research, Mountain View, CA, USA
| | - R Babbush
- Google Research, Mountain View, CA, USA
| | - D Bacon
- Google Research, Mountain View, CA, USA
| | - S Boixo
- Google Research, Mountain View, CA, USA
| | - J Hilton
- Google Research, Mountain View, CA, USA
| | - E Lucero
- Google Research, Mountain View, CA, USA
| | - A Megrant
- Google Research, Mountain View, CA, USA
| | - J Kelly
- Google Research, Mountain View, CA, USA
| | - Y Chen
- Google Research, Mountain View, CA, USA
| | - P Roushan
- Google Research, Mountain View, CA, USA
| | | | - D A Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
- Department of Physics, Princeton University, Princeton, NJ, USA
| |
Collapse
|
4
|
Forster VJ, Aronson M, Zhang C, Chung J, Sudhaman S, Galati MA, Kelly J, Negm L, Ercan AB, Stengs L, Durno C, Edwards M, Komosa M, Oldfield LE, Nunes NM, Pedersen S, Wellum J, Siddiqui I, Bianchi V, Weil BR, Fox VL, Pugh TJ, Kamihara J, Tabori U. Biallelic EPCAM deletions induce tissue-specific DNA repair deficiency and cancer predisposition. NPJ Precis Oncol 2024; 8:69. [PMID: 38467830 PMCID: PMC10928233 DOI: 10.1038/s41698-024-00537-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 02/08/2024] [Indexed: 03/13/2024] Open
Abstract
We report a case of Mismatch Repair Deficiency (MMRD) caused by germline homozygous EPCAM deletion leading to tissue-specific loss of MSH2. Through the use of patient-derived cells and organoid technologies, we performed stepwise in vitro differentiation of colonic and brain organoids from reprogrammed EPCAMdel iPSC derived from patient fibroblasts. Differentiation of iPSC to epithelial-colonic organoids exhibited continuous increased EPCAM expression and hypermethylation of the MSH2 promoter. This was associated with loss of MSH2 expression, increased mutational burden, MMRD signatures and MS-indel accumulation, the hallmarks of MMRD. In contrast, maturation into brain organoids and examination of blood and fibroblasts failed to show similar processes, preserving MMR proficiency. The combined use of iPSC, organoid technologies and functional genomics analyses highlights the potential of cutting-edge cellular and molecular analysis techniques to define processes controlling tumorigenesis and uncovers a new paradigm of tissue-specific MMRD, which affects the clinical management of these patients.
Collapse
Affiliation(s)
- V J Forster
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - M Aronson
- Zane Cohen Centre, Sinai Health System and Faculty of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - C Zhang
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - J Chung
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - S Sudhaman
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - M A Galati
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - J Kelly
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - L Negm
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - A B Ercan
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - L Stengs
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - C Durno
- Division of Gastroenterology, Hepatology and Nutrition, The Hospital for Sick Children, Toronto, ON, Canada
| | - M Edwards
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - M Komosa
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | | | - N M Nunes
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - S Pedersen
- University Health Network, Toronto, ON, Canada
| | - J Wellum
- University Health Network, Toronto, ON, Canada
| | - I Siddiqui
- Department of Paediatric Laboratory Medicine and Pathobiology, Division of Pathology, The Hospital for Sick Children, Toronto, ON, Canada
| | - V Bianchi
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - B R Weil
- Department of Surgery, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - V L Fox
- Division of Gastroenterology, Hepatology and Nutrition, Boston Children's Hospital, Boston, MA, USA
| | - T J Pugh
- University Health Network, Toronto, ON, Canada
| | - J Kamihara
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - U Tabori
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada.
- Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
5
|
Farenden E, Kelly J, Russell A, Menon A. Remote Monitoring for Type 2 Diabetes: What Do Patients, Healthcare Professionals, and Executives Think? Stud Health Technol Inform 2024; 310:1526-1527. [PMID: 38269728 DOI: 10.3233/shti231276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Abstract
The implementation of mobile health interventions is key to the future management of diabetes. A new model of digital care for type 2 diabetes using a Bluetooth-enabled blood glucose monitoring system has been implemented at the Princess Alexandra Hospital. The perceptions of patients, healthcare professionals, and executives involved in the implementation of this model have been assessed to establish the key facilitators and barriers to digital health intervention adoption.
Collapse
Affiliation(s)
- Eleanor Farenden
- Centre for Health Services Research, The University of Queensland
| | - Jaimon Kelly
- Centre for Health Services Research, The University of Queensland
- Centre for Online Health, The University of Queensland
| | - Anthony Russell
- Centre for Health Services Research, The University of Queensland
- Department of Endocrinology and Diabetes, the Alfred, Melbourne
- Department of Diabetes and Endocrinology, Princess Alexandra Hospital, Brisbane
| | - Anish Menon
- Centre for Health Services Research, The University of Queensland
- Department of Diabetes and Endocrinology, Princess Alexandra Hospital, Brisbane
- Queensland Digital Health Centre, The University of Queensland
| |
Collapse
|
6
|
Nourse R, Dingler T, Kelly J, Kwasnicka D, Maddison R. The Role of a Smart Health Ecosystem in Transforming the Management of Chronic Health Conditions. J Med Internet Res 2023; 25:e44265. [PMID: 38109188 PMCID: PMC10758944 DOI: 10.2196/44265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 06/07/2023] [Accepted: 06/29/2023] [Indexed: 12/19/2023] Open
Abstract
The effective management of chronic conditions requires an approach that promotes a shift in care from the clinic to the home, improves the efficiency of health care systems, and benefits all users irrespective of their needs and preferences. Digital health can provide a solution to this challenge, and in this paper, we provide our vision for a smart health ecosystem. A smart health ecosystem leverages the interoperability of digital health technologies and advancements in big data and artificial intelligence for data collection and analysis and the provision of support. We envisage that this approach will allow a comprehensive picture of health, personalization, and tailoring of behavioral and clinical support; drive theoretical advancements; and empower people to manage their own health with support from health care professionals. We illustrate the concept with 2 use cases and discuss topics for further consideration and research, concluding with a message to encourage people with chronic conditions, their caregivers, health care professionals, policy and decision makers, and technology experts to join their efforts and work toward adopting a smart health ecosystem.
Collapse
Affiliation(s)
- Rebecca Nourse
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
| | - Tilman Dingler
- School of Computing and Information Systems, University of Melbourne, Melbourne, Australia
| | - Jaimon Kelly
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Dominika Kwasnicka
- NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Ralph Maddison
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
| |
Collapse
|
7
|
Sazon H, Catapan SDC, Rahimi A, Canfell OJ, Kelly J. How do Twitter users feel about telehealth? A mixed-methods analysis of experiences, perceptions and expectations. Health Expect 2023; 27:e13927. [PMID: 38038231 PMCID: PMC10726278 DOI: 10.1111/hex.13927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/26/2023] [Accepted: 11/19/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Telehealth use has increased considerably in the last years and evidence suggests an overall positive sentiment towards telehealth. Twitter has a wide userbase and can enrich our understanding of telehealth use by users expressing their personal opinions in an unprompted way. This study aimed to explore Twitter users' experiences, perceptions and expectations about telehealth over the last 5 years. METHODS Mixed-methods study with sequential complementary quantitative and qualitative phases was used for analysis stages comprising (1) a quantitative semiautomated analysis and (2) a qualitative research-led thematic analysis. A machine learning model was used to establish the data set with relevant English language tweets from 1 September 2017 to 1 September 2022 relating to telehealth using predefined search words. Results were integrated at the end. RESULTS From the initial 237,671 downloaded tweets, 6469 had a relevancy score above 0.8 and were input into Leximancer and 595 were manually analysed. Experiences, perceptions and expectations were categorised into three domains: experience with telehealth consultation, telehealth changes over time and the purpose of the appointment. The most tweeted experience was expectations for telehealth consultation in comparison to in-person consultations. Users mostly mentioned the hope that waiting times for the consultations to start to be less than in-person, more telehealth appointments to be available and telehealth to be cheaper. Perceptions around the use of telehealth in relation to healthcare delivery changes brought about by the COVID-19 pandemic were also expressed. General practitioners were mentioned six times more than other healthcare professionals. CONCLUSION/IMPLICATIONS This study found that Twitter users expect telehealth services to be better, more affordable and more available than in-person consultations. Users acknowledged the convenience of not having to travel for appointments and the challenges to adapt to telehealth. PATIENT OR PUBLIC CONTRIBUTION An open data set with 237,671 tweets expressing users' opinions in an unprompted way was used as a source for telehealth service users, caregivers and members of the public experiences, perceptions and expectations of telehealth.
Collapse
Affiliation(s)
- Hannah Sazon
- School of Public HealthThe University of QueenslandBrisbaneQueenslandAustralia
| | - Soraia de Camargo Catapan
- Centre for Online HealthThe University of QueenslandBrisbaneQueenslandAustralia
- Centre for Health Services ResearchThe University of QueenslandBrisbaneQueenslandAustralia
| | | | - Oliver J. Canfell
- Queensland Digital Health Centre, Centre for Health Services Research, Faculty of MedicineThe University of QueenslandBrisbaneQueenslandAustralia
- Digital Health Cooperative Research CentreAustralian GovernmentSydneyNew South WalesAustralia
- UQ Business School, Faculty of Business, Economics and LawThe University of QueenslandBrisbaneQueenslandAustralia
| | - Jaimon Kelly
- Centre for Online HealthThe University of QueenslandBrisbaneQueenslandAustralia
- Centre for Health Services ResearchThe University of QueenslandBrisbaneQueenslandAustralia
| |
Collapse
|
8
|
Hoke JC, Ippoliti M, Rosenberg E, Abanin D, Acharya R, Andersen TI, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Bengtsson A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Chik D, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Dau AG, Debroy DM, Del Toro Barba A, Demura S, Di Paolo A, Drozdov IK, Dunsworth A, Eppens D, Erickson C, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hoffmann MR, Hong S, Huang T, Huff A, Huggins WJ, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Kechedzhi K, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lensky YD, Lester BJ, Lill AT, Liu W, Locharla A, Martin O, McClean JR, McEwen M, Miao KC, Mieszala A, Montazeri S, Morvan A, Movassagh R, Mruczkiewicz W, Neeley M, Neill C, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O’Brien TE, Omonije S, Opremcak A, Petukhov A, Potter R, Pryadko LP, Quintana C, Rocque C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Skruzny J, Smith WC, Somma R, Sterling G, Strain D, Szalay M, Torres A, Vidal G, Villalonga B, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Neven H, Babbush R, Bacon D, Boixo S, Hilton J, Lucero E, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Mi X, Khemani V, Roushan P. Measurement-induced entanglement and teleportation on a noisy quantum processor. Nature 2023; 622:481-486. [PMID: 37853150 PMCID: PMC10584681 DOI: 10.1038/s41586-023-06505-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 08/01/2023] [Indexed: 10/20/2023]
Abstract
Measurement has a special role in quantum theory1: by collapsing the wavefunction, it can enable phenomena such as teleportation2 and thereby alter the 'arrow of time' that constrains unitary evolution. When integrated in many-body dynamics, measurements can lead to emergent patterns of quantum information in space-time3-10 that go beyond the established paradigms for characterizing phases, either in or out of equilibrium11-13. For present-day noisy intermediate-scale quantum (NISQ) processors14, the experimental realization of such physics can be problematic because of hardware limitations and the stochastic nature of quantum measurement. Here we address these experimental challenges and study measurement-induced quantum information phases on up to 70 superconducting qubits. By leveraging the interchangeability of space and time, we use a duality mapping9,15-17 to avoid mid-circuit measurement and access different manifestations of the underlying phases, from entanglement scaling3,4 to measurement-induced teleportation18. We obtain finite-sized signatures of a phase transition with a decoding protocol that correlates the experimental measurement with classical simulation data. The phases display remarkably different sensitivity to noise, and we use this disparity to turn an inherent hardware limitation into a useful diagnostic. Our work demonstrates an approach to realizing measurement-induced physics at scales that are at the limits of current NISQ processors.
Collapse
|
9
|
Broadbent A, Rahman S, Grace B, Walker R, Noble F, Kelly J, Byrne J, Underwood T. The effect of surgical complications on long-term prognosis following oesophagectomy. Eur J Surg Oncol 2023; 49:106930. [PMID: 37258358 DOI: 10.1016/j.ejso.2023.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 04/26/2023] [Accepted: 05/04/2023] [Indexed: 06/02/2023]
Abstract
INTRODUCTION Complications are frequent after oesophagectomy, and there is evidence these adversely impact long-term prognosis. However, the effect of multiple complications, and the absolute magnitude of effect on survival is unclear. This study aimed to examine these effects in a single high-volume UK unit. METHODS Patients undergoing oesophagectomy for cancer and who survived to 90 days post-oesophagectomy were analysed. Complications were graded according to the Clavien-Dindo (CD) classification and the Comprehensive Complication Index (CCI). The effect and magnitude of effect of complications on survival were assessed using multivariable cox regression and the risk-adjusted population attributable fraction. RESULTS In total, 380 patients were included. Complications occurred in 251 (66.1%). Suffering ≥3 complications (HR 1.89, 95%CI 1.13-3.16, p = 0.015) or an unplanned escalation in care (HR 2.22, 95%CI 1.43-3.45, p < 0.001) significantly reduced survival whereas pulmonary complications and anastomotic leak did not. Patients with a CCI>30 had worse overall survival (HR 1.91, 95%CI 1.32-2.76, p < 0.001) and CCI>30 due to multiple minor complications gave a worse prognosis compared to CCI>30 due to major complications (HR 2.44, 95%CI 1.14-5.20, p = 0.022). An estimated 9.1% (95%CI 3.4-14.4%) of deaths at 5 years were attributable to a CCI>30. CONCLUSION Long-term survival following oesophagectomy for cancer is significantly affected by complications and the cumulative effect of multiple complications. Interestingly, multiple minor complications had a worse effect on survival than major complications. The absolute magnitude of effect is substantial: minimising all types of postoperative complications could have significant benefit to overall outcomes.
Collapse
Affiliation(s)
- A Broadbent
- Upper Gastrointestinal Surgery Department, University Hospitals Southampton, UK; Cancer Sciences Unit, Faculty of Medicine, University of Southampton, UK
| | - S Rahman
- Upper Gastrointestinal Surgery Department, University Hospitals Southampton, UK; Cancer Sciences Unit, Faculty of Medicine, University of Southampton, UK
| | - B Grace
- Upper Gastrointestinal Surgery Department, University Hospitals Southampton, UK; Cancer Sciences Unit, Faculty of Medicine, University of Southampton, UK
| | - R Walker
- Upper Gastrointestinal Surgery Department, University Hospitals Southampton, UK; Cancer Sciences Unit, Faculty of Medicine, University of Southampton, UK
| | - F Noble
- Upper Gastrointestinal Surgery Department, University Hospitals Southampton, UK
| | - J Kelly
- Upper Gastrointestinal Surgery Department, University Hospitals Southampton, UK
| | - J Byrne
- Upper Gastrointestinal Surgery Department, University Hospitals Southampton, UK
| | - T Underwood
- Upper Gastrointestinal Surgery Department, University Hospitals Southampton, UK; Cancer Sciences Unit, Faculty of Medicine, University of Southampton, UK.
| |
Collapse
|
10
|
McCarthy A, Fahey E, Kelly J. A Comparison of Arthroplasty Activity Nationally between Mixed and Elective-Only Units. Ir Med J 2023; 116:810. [PMID: 37606237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
|
11
|
Andersen TI, Lensky YD, Kechedzhi K, Drozdov IK, Bengtsson A, Hong S, Morvan A, Mi X, Opremcak A, Acharya R, Allen R, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Babbush R, Bacon D, Bardin JC, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Chik D, Chou C, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Del Toro Barba A, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Dau AG, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hilton J, Hoffmann MR, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lester BJ, Lill AT, Liu W, Locharla A, Lucero E, Malone FD, Martin O, McClean JR, McCourt T, McEwen M, Miao KC, Mieszala A, Mohseni M, Montazeri S, Mount E, Movassagh R, Mruczkiewicz W, Naaman O, Neeley M, Neill C, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O’Brien TE, Omonije S, Petukhov A, Potter R, Pryadko LP, Quintana C, Rocque C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Skruzny J, Smith WC, Somma R, Sterling G, Strain D, Szalay M, Torres A, Vidal G, Villalonga B, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Neven H, Boixo S, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Kim EA, Aleiner I, Roushan P. Non-Abelian braiding of graph vertices in a superconducting processor. Nature 2023; 618:264-269. [PMID: 37169834 DOI: 10.1038/s41586-023-05954-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 03/14/2023] [Indexed: 06/09/2023]
Abstract
Indistinguishability of particles is a fundamental principle of quantum mechanics1. For all elementary and quasiparticles observed to date-including fermions, bosons and Abelian anyons-this principle guarantees that the braiding of identical particles leaves the system unchanged2,3. However, in two spatial dimensions, an intriguing possibility exists: braiding of non-Abelian anyons causes rotations in a space of topologically degenerate wavefunctions4-8. Hence, it can change the observables of the system without violating the principle of indistinguishability. Despite the well-developed mathematical description of non-Abelian anyons and numerous theoretical proposals9-22, the experimental observation of their exchange statistics has remained elusive for decades. Controllable many-body quantum states generated on quantum processors offer another path for exploring these fundamental phenomena. Whereas efforts on conventional solid-state platforms typically involve Hamiltonian dynamics of quasiparticles, superconducting quantum processors allow for directly manipulating the many-body wavefunction by means of unitary gates. Building on predictions that stabilizer codes can host projective non-Abelian Ising anyons9,10, we implement a generalized stabilizer code and unitary protocol23 to create and braid them. This allows us to experimentally verify the fusion rules of the anyons and braid them to realize their statistics. We then study the prospect of using the anyons for quantum computation and use braiding to create an entangled state of anyons encoding three logical qubits. Our work provides new insights about non-Abelian braiding and, through the future inclusion of error correction to achieve topological protection, could open a path towards fault-tolerant quantum computing.
Collapse
|
12
|
Abstract
This paper considers the potential ethical tensions in the conduct of Defence Engagement (Health) (DE(H)) activities. Multiple academic papers have described the ethical dimensions of topics such as 'medical rules of eligibility', cultural differences in clinical behaviour when providing mentoring support to military health professions, MEDCAPS (non-emergency primary care clinics by international military medical personnel direct to the indigenous civilian population) and military medical collaboration with the civilian public health system and humanitarian organisations. After a short summary of principles and perspectives in military healthcare ethics (MHE), this paper considers the ethical risks of DE(H) activities at the strategic, operational and tactical level. The paper closes by discussing how to prepare military healthcare personnel for ethical challenges during DE(H) tasks. This includes considering the wider legal, professional, societal and public health perspectives alongside clinical perspectives in the analysis of an MHE issue. In conclusion, potential MHE issues during DE(H) activities are predictable and personnel should be trained to identify and address them. This paper forms part of a special issue of BMJ Military Health dedicated to Defence Healthcare Engagement.
Collapse
Affiliation(s)
- Martin Bricknell
- Conflict and Health Research Group, Department of War Studies, King's College London, London WC2R 2LS, UK
| | - J Kelly
- School of Nursing and Midwifery, Faculty of Health and Social Care, University of Hull HU6 7RX, Hull, UK
| |
Collapse
|
13
|
Tan W, Ahmad A, Nathan A, Ogunbo A, Gbolahan O, Kallam N, Tan W, Cohen D, Volanis D, Kamat A, Kelly J. The hematuria cancer risk score: A validation study demonstrating reduction in the number needed to investigate while preserving fidelity of cancer detection. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00318-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
|
14
|
Di Trapani E, Guzzo S, Lievore E, Terrone C, Krajewski W, Xylinas E, Peroni A, Galfano A, Kelly J, Hurle R, Albisinni S, Shariat S, Teoh J, Hendricksen K, Antonelli A, Roumiguié M, Sanchez Salas R, Mir C, Soria F, Simone G, Montorsi F, Simeone C, Musi G, De Cobelli O. Evaluating the impact of complications on survival outcomes in patients treated with radical cystectomy for bladder cancer. Results from a European multi-institutional collaboration (YAU Urothelial Cancer Group). Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00200-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
|
15
|
Daly E, Collins G, Hall E, O'Dwyer J, Gallagher D, Kelly J. Telehealth Rehabilitation for the Management of Long Covid Symptoms. Ir Med J 2023; 115:677. [PMID: 36920416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
|
16
|
Morvan A, Andersen TI, Mi X, Neill C, Petukhov A, Kechedzhi K, Abanin DA, Michailidis A, Acharya R, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Basso J, Bengtsson A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Del Toro Barba A, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Flores Burgos L, Forati E, Fowler AG, Foxen B, Giang W, Gidney C, Gilboa D, Giustina M, Grajales Dau A, Gross JA, Habegger S, Hamilton MC, Harrigan MP, Harrington SD, Hoffmann M, Hong S, Huang T, Huff A, Huggins WJ, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev AY, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lester BJ, Lill AT, Liu W, Locharla A, Malone F, Martin O, McClean JR, McEwen M, Meurer Costa B, Miao KC, Mohseni M, Montazeri S, Mount E, Mruczkiewicz W, Naaman O, Neeley M, Nersisyan A, Newman M, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Olenewa R, Opremcak A, Potter R, Quintana C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shvarts V, Skruzny J, Smith WC, Strain D, Sterling G, Su Y, Szalay M, Torres A, Vidal G, Villalonga B, Vollgraff-Heidweiller C, White T, Xing C, Yao Z, Yeh P, Yoo J, Zalcman A, Zhang Y, Zhu N, Neven H, Bacon D, Hilton J, Lucero E, Babbush R, Boixo S, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Aleiner I, Ioffe LB, Roushan P. Formation of robust bound states of interacting microwave photons. Nature 2022; 612:240-245. [PMID: 36477133 PMCID: PMC9729104 DOI: 10.1038/s41586-022-05348-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/14/2022] [Indexed: 12/12/2022]
Abstract
Systems of correlated particles appear in many fields of modern science and represent some of the most intractable computational problems in nature. The computational challenge in these systems arises when interactions become comparable to other energy scales, which makes the state of each particle depend on all other particles1. The lack of general solutions for the three-body problem and acceptable theory for strongly correlated electrons shows that our understanding of correlated systems fades when the particle number or the interaction strength increases. One of the hallmarks of interacting systems is the formation of multiparticle bound states2-9. Here we develop a high-fidelity parameterizable fSim gate and implement the periodic quantum circuit of the spin-½ XXZ model in a ring of 24 superconducting qubits. We study the propagation of these excitations and observe their bound nature for up to five photons. We devise a phase-sensitive method for constructing the few-body spectrum of the bound states and extract their pseudo-charge by introducing a synthetic flux. By introducing interactions between the ring and additional qubits, we observe an unexpected resilience of the bound states to integrability breaking. This finding goes against the idea that bound states in non-integrable systems are unstable when their energies overlap with the continuum spectrum. Our work provides experimental evidence for bound states of interacting photons and discovers their stability beyond the integrability limit.
Collapse
Affiliation(s)
- A Morvan
- Google Research, Mountain View, CA, USA
| | | | - X Mi
- Google Research, Mountain View, CA, USA
| | - C Neill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - A Michailidis
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - R Acharya
- Google Research, Mountain View, CA, USA
| | - F Arute
- Google Research, Mountain View, CA, USA
| | - K Arya
- Google Research, Mountain View, CA, USA
| | - A Asfaw
- Google Research, Mountain View, CA, USA
| | - J Atalaya
- Google Research, Mountain View, CA, USA
| | - J C Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - J Basso
- Google Research, Mountain View, CA, USA
| | | | - G Bortoli
- Google Research, Mountain View, CA, USA
| | | | - J Bovaird
- Google Research, Mountain View, CA, USA
| | - L Brill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Research, Mountain View, CA, USA
| | - T Burger
- Google Research, Mountain View, CA, USA
| | - B Burkett
- Google Research, Mountain View, CA, USA
| | | | - Z Chen
- Google Research, Mountain View, CA, USA
| | - B Chiaro
- Google Research, Mountain View, CA, USA
| | - R Collins
- Google Research, Mountain View, CA, USA
| | - P Conner
- Google Research, Mountain View, CA, USA
| | | | - A L Crook
- Google Research, Mountain View, CA, USA
| | - B Curtin
- Google Research, Mountain View, CA, USA
| | | | | | - S Demura
- Google Research, Mountain View, CA, USA
| | | | - D Eppens
- Google Research, Mountain View, CA, USA
| | | | - L Faoro
- Google Research, Mountain View, CA, USA
| | - E Farhi
- Google Research, Mountain View, CA, USA
| | - R Fatemi
- Google Research, Mountain View, CA, USA
| | | | - E Forati
- Google Research, Mountain View, CA, USA
| | | | - B Foxen
- Google Research, Mountain View, CA, USA
| | - W Giang
- Google Research, Mountain View, CA, USA
| | - C Gidney
- Google Research, Mountain View, CA, USA
| | - D Gilboa
- Google Research, Mountain View, CA, USA
| | | | | | - J A Gross
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - S Hong
- Google Research, Mountain View, CA, USA
| | - T Huang
- Google Research, Mountain View, CA, USA
| | - A Huff
- Google Research, Mountain View, CA, USA
| | | | | | - J Iveland
- Google Research, Mountain View, CA, USA
| | - E Jeffrey
- Google Research, Mountain View, CA, USA
| | - Z Jiang
- Google Research, Mountain View, CA, USA
| | - C Jones
- Google Research, Mountain View, CA, USA
| | - P Juhas
- Google Research, Mountain View, CA, USA
| | - D Kafri
- Google Research, Mountain View, CA, USA
| | - T Khattar
- Google Research, Mountain View, CA, USA
| | - M Khezri
- Google Research, Mountain View, CA, USA
| | - M Kieferová
- Google Research, Mountain View, CA, USA
- Centre for Quantum Computation and Communication Technology, Centre for Quantum Software and Information, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia
| | - S Kim
- Google Research, Mountain View, CA, USA
| | - A Y Kitaev
- Google Research, Mountain View, CA, USA
- Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA
| | | | - A R Klots
- Google Research, Mountain View, CA, USA
| | - A N Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P Laptev
- Google Research, Mountain View, CA, USA
| | - K-M Lau
- Google Research, Mountain View, CA, USA
| | - L Laws
- Google Research, Mountain View, CA, USA
| | - J Lee
- Google Research, Mountain View, CA, USA
| | - K W Lee
- Google Research, Mountain View, CA, USA
| | | | - A T Lill
- Google Research, Mountain View, CA, USA
| | - W Liu
- Google Research, Mountain View, CA, USA
| | | | - F Malone
- Google Research, Mountain View, CA, USA
| | - O Martin
- Google Research, Mountain View, CA, USA
| | | | - M McEwen
- Google Research, Mountain View, CA, USA
- Department of Physics, University of California, Santa Barbara, CA, USA
| | | | - K C Miao
- Google Research, Mountain View, CA, USA
| | - M Mohseni
- Google Research, Mountain View, CA, USA
| | | | - E Mount
- Google Research, Mountain View, CA, USA
| | | | - O Naaman
- Google Research, Mountain View, CA, USA
| | - M Neeley
- Google Research, Mountain View, CA, USA
| | | | - M Newman
- Google Research, Mountain View, CA, USA
| | - A Nguyen
- Google Research, Mountain View, CA, USA
| | - M Nguyen
- Google Research, Mountain View, CA, USA
| | - M Y Niu
- Google Research, Mountain View, CA, USA
| | | | - R Olenewa
- Google Research, Mountain View, CA, USA
| | | | - R Potter
- Google Research, Mountain View, CA, USA
| | | | - N C Rubin
- Google Research, Mountain View, CA, USA
| | - N Saei
- Google Research, Mountain View, CA, USA
| | - D Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - A Shorter
- Google Research, Mountain View, CA, USA
| | - V Shvarts
- Google Research, Mountain View, CA, USA
| | - J Skruzny
- Google Research, Mountain View, CA, USA
| | - W C Smith
- Google Research, Mountain View, CA, USA
| | - D Strain
- Google Research, Mountain View, CA, USA
| | | | - Y Su
- Google Research, Mountain View, CA, USA
| | - M Szalay
- Google Research, Mountain View, CA, USA
| | - A Torres
- Google Research, Mountain View, CA, USA
| | - G Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T White
- Google Research, Mountain View, CA, USA
| | - C Xing
- Google Research, Mountain View, CA, USA
| | - Z Yao
- Google Research, Mountain View, CA, USA
| | - P Yeh
- Google Research, Mountain View, CA, USA
| | - J Yoo
- Google Research, Mountain View, CA, USA
| | - A Zalcman
- Google Research, Mountain View, CA, USA
| | - Y Zhang
- Google Research, Mountain View, CA, USA
| | - N Zhu
- Google Research, Mountain View, CA, USA
| | - H Neven
- Google Research, Mountain View, CA, USA
| | - D Bacon
- Google Research, Mountain View, CA, USA
| | - J Hilton
- Google Research, Mountain View, CA, USA
| | - E Lucero
- Google Research, Mountain View, CA, USA
| | - R Babbush
- Google Research, Mountain View, CA, USA
| | - S Boixo
- Google Research, Mountain View, CA, USA
| | - A Megrant
- Google Research, Mountain View, CA, USA
| | - J Kelly
- Google Research, Mountain View, CA, USA
| | - Y Chen
- Google Research, Mountain View, CA, USA
| | | | - I Aleiner
- Google Research, Mountain View, CA, USA.
| | - L B Ioffe
- Google Research, Mountain View, CA, USA.
| | - P Roushan
- Google Research, Mountain View, CA, USA.
| |
Collapse
|
17
|
Mi X, Sonner M, Niu MY, Lee KW, Foxen B, Acharya R, Aleiner I, Andersen TI, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Basso J, Bengtsson A, Bortoli G, Bourassa A, Brill L, Broughton M, Buckley BB, Buell DA, Burkett B, Bushnell N, Chen Z, Chiaro B, Collins R, Conner P, Courtney W, Crook AL, Debroy DM, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Flores L, Forati E, Fowler AG, Giang W, Gidney C, Gilboa D, Giustina M, Dau AG, Gross JA, Habegger S, Harrigan MP, Hoffmann M, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Kafri D, Kechedzhi K, Khattar T, Kim S, Kitaev AY, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Lee J, Laws L, Liu W, Locharla A, Martin O, McClean JR, McEwen M, Meurer Costa B, Miao KC, Mohseni M, Montazeri S, Morvan A, Mount E, Mruczkiewicz W, Naaman O, Neeley M, Neill C, Newman M, O’Brien TE, Opremcak A, Petukhov A, Potter R, Quintana C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schuster C, Shearn MJ, Shvarts V, Strain D, Su Y, Szalay M, Vidal G, Villalonga B, Vollgraff-Heidweiller C, White T, Yao Z, Yeh P, Yoo J, Zalcman A, Zhang Y, Zhu N, Neven H, Bacon D, Hilton J, Lucero E, Babbush R, Boixo S, Megrant A, Chen Y, Kelly J, Smelyanskiy V, Abanin DA, Roushan P. Noise-resilient edge modes on a chain of superconducting qubits. Science 2022; 378:785-790. [DOI: 10.1126/science.abq5769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Inherent symmetry of a quantum system may protect its otherwise fragile states. Leveraging such protection requires testing its robustness against uncontrolled environmental interactions. Using 47 superconducting qubits, we implement the one-dimensional kicked Ising model, which exhibits nonlocal Majorana edge modes (MEMs) with
ℤ
2
parity symmetry. We find that any multiqubit Pauli operator overlapping with the MEMs exhibits a uniform late-time decay rate comparable to single-qubit relaxation rates, irrespective of its size or composition. This characteristic allows us to accurately reconstruct the exponentially localized spatial profiles of the MEMs. Furthermore, the MEMs are found to be resilient against certain symmetry-breaking noise owing to a prethermalization mechanism. Our work elucidates the complex interplay between noise and symmetry-protected edge modes in a solid-state environment.
Collapse
Affiliation(s)
- X. Mi
- Google Research, Mountain View, CA, USA
| | - M. Sonner
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - M. Y. Niu
- Google Research, Mountain View, CA, USA
| | - K. W. Lee
- Google Research, Mountain View, CA, USA
| | - B. Foxen
- Google Research, Mountain View, CA, USA
| | | | | | | | - F. Arute
- Google Research, Mountain View, CA, USA
| | - K. Arya
- Google Research, Mountain View, CA, USA
| | - A. Asfaw
- Google Research, Mountain View, CA, USA
| | | | - J. C. Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - J. Basso
- Google Research, Mountain View, CA, USA
| | | | | | | | - L. Brill
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - Z. Chen
- Google Research, Mountain View, CA, USA
| | - B. Chiaro
- Google Research, Mountain View, CA, USA
| | | | - P. Conner
- Google Research, Mountain View, CA, USA
| | | | | | | | - S. Demura
- Google Research, Mountain View, CA, USA
| | | | - D. Eppens
- Google Research, Mountain View, CA, USA
| | | | - L. Faoro
- Google Research, Mountain View, CA, USA
| | - E. Farhi
- Google Research, Mountain View, CA, USA
| | - R. Fatemi
- Google Research, Mountain View, CA, USA
| | - L. Flores
- Google Research, Mountain View, CA, USA
| | - E. Forati
- Google Research, Mountain View, CA, USA
| | | | - W. Giang
- Google Research, Mountain View, CA, USA
| | - C. Gidney
- Google Research, Mountain View, CA, USA
| | - D. Gilboa
- Google Research, Mountain View, CA, USA
| | | | - A. G. Dau
- Google Research, Mountain View, CA, USA
| | | | | | | | | | - S. Hong
- Google Research, Mountain View, CA, USA
| | - T. Huang
- Google Research, Mountain View, CA, USA
| | - A. Huff
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - Z. Jiang
- Google Research, Mountain View, CA, USA
| | - C. Jones
- Google Research, Mountain View, CA, USA
| | - D. Kafri
- Google Research, Mountain View, CA, USA
| | | | | | - S. Kim
- Google Research, Mountain View, CA, USA
| | - A. Y. Kitaev
- Google Research, Mountain View, CA, USA
- Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA
| | | | | | - A. N. Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P. Laptev
- Google Research, Mountain View, CA, USA
| | - K.-M. Lau
- Google Research, Mountain View, CA, USA
| | - J. Lee
- Google Research, Mountain View, CA, USA
| | - L. Laws
- Google Research, Mountain View, CA, USA
| | - W. Liu
- Google Research, Mountain View, CA, USA
| | | | - O. Martin
- Google Research, Mountain View, CA, USA
| | | | - M. McEwen
- Google Research, Mountain View, CA, USA
- Department of Physics, University of California, Santa Barbara, CA, USA
| | | | | | | | | | - A. Morvan
- Google Research, Mountain View, CA, USA
| | - E. Mount
- Google Research, Mountain View, CA, USA
| | | | - O. Naaman
- Google Research, Mountain View, CA, USA
| | - M. Neeley
- Google Research, Mountain View, CA, USA
| | - C. Neill
- Google Research, Mountain View, CA, USA
| | - M. Newman
- Google Research, Mountain View, CA, USA
| | | | | | | | - R. Potter
- Google Research, Mountain View, CA, USA
| | | | | | - N. Saei
- Google Research, Mountain View, CA, USA
| | - D. Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - D. Strain
- Google Research, Mountain View, CA, USA
| | - Y. Su
- Google Research, Mountain View, CA, USA
| | - M. Szalay
- Google Research, Mountain View, CA, USA
| | - G. Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T. White
- Google Research, Mountain View, CA, USA
| | - Z. Yao
- Google Research, Mountain View, CA, USA
| | - P. Yeh
- Google Research, Mountain View, CA, USA
| | - J. Yoo
- Google Research, Mountain View, CA, USA
| | | | - Y. Zhang
- Google Research, Mountain View, CA, USA
| | - N. Zhu
- Google Research, Mountain View, CA, USA
| | - H. Neven
- Google Research, Mountain View, CA, USA
| | - D. Bacon
- Google Research, Mountain View, CA, USA
| | - J. Hilton
- Google Research, Mountain View, CA, USA
| | - E. Lucero
- Google Research, Mountain View, CA, USA
| | | | - S. Boixo
- Google Research, Mountain View, CA, USA
| | | | - Y. Chen
- Google Research, Mountain View, CA, USA
| | - J. Kelly
- Google Research, Mountain View, CA, USA
| | | | - D. A. Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | | |
Collapse
|
18
|
Petersen JM, Jhala D, Kelly J, Flaherty-Oxler K. Emergence of SARS-CoV-2 Pango Lineage BA.2.12.1, a Spreading BA.2 Sublineage Detected on Outbreak Sequencing within a Veteran Community Living Center Population. Am J Clin Pathol 2022. [DOI: 10.1093/ajcp/aqac126.299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Abstract
Introduction/Objective
SARS-CoV-2, the causative agent for COVID-19 disease, has very recently developed an Omicron subvariant BA.2.12.1. The English literature is extremely sparse in discussing the clinical importance of BA.2.12.1 and in fact there are no reports for the unique veteran population which is different than the general population. Since the original Omicron variant, there has been multiple evolutionary branches. BA.2.12.1 specifically is the 12th sublineage to branch off from the second BA.2 branch from the original Omicron and is clade 22C. BA.2.12.1 has been described as having increased transmissibility compared to other subvariants of Omicron and even resistance to neutralization by antibodies elicited by a prior Omicron infection with a different subvariant, thus leading to a significant potential for reinfection. BA.2.12.1 is currently responsible for an increasing number of cases in the North American continent. This study was undertaken to explore the sequencing associated with the COVID-19 disease outbreak at a Veteran Affairs Community Living Center (CLC).
Methods/Case Report
Samples were sent for the sequencing for patients affected during an outbreak of COVID-19 at a CLC from May to June 2022. All samples had a cycle threshold or number below 30 by reverse transcriptase polymerase chain reaction, which was required for the sequencing analysis. The sequencing results and prior immunity history was obtained.
Results (if a Case Study enter NA)
A total of 9 CLC patient specimens were sent for sequencing. Of these 9, 7 had sequencing results and in the remaining 2, no sequencing results could be obtained due to lack of amplification. 6 of these 7 demonstrated Pango Lineage BA.2.12.1 or clade 22C. Only 1 of the 7 patients had a different subvariant (BA.2.9, clade 21L). Interestingly, all seven patients had either been previously vaccinated with a 3rd booster shot (6 of 7) or previously infected with COVID-19 without vaccination (1 of 7), indicating the ability of the two detected subvariants to cause breakthrough reinfection despite prior vaccination or infection earlier in the pandemic.
Conclusion
The only recently described BA.2.12.1 has resistance to neutralization by antibodies produced by a prior infection or vaccination, leading to reinfection. This lineage was detected in nearly all cases of COVID-19 outbreak within a veteran nursing home CLC despite the presence of prior immunity.
Collapse
Affiliation(s)
- J M Petersen
- Pathology and Laboratory Medicine, CMCVAMC and University of Pennsylvania , Philadelphia, Pennsylvania , United States
| | - D Jhala
- Pathology and Laboratory Medicine, CMCVAMC and University of Pennsylvania , Philadelphia, Pennsylvania , United States
| | - J Kelly
- Infectious Diseases, CMCVAMC and University of Pennsylvania , Philadelphia, Pennsylvania , United States
| | | |
Collapse
|
19
|
Guzzo S, Lievore E, Di Trapani E, Mistretta F, Luzzago S, Rouprêt M, Terrone C, Laukhtina E, Simeone C, Roumiguié M, Soria F, Kelly J, Shariat S, Albisinni S, Krajewski W, Antonelli A, Ploussard G, Teoh J, Oscar RB, Montorsi F, Hurle R, Maestro MA, Xylinas E, Salas RS, Simone G, Carme M, Galfano A, Hendricksen K, Peroni A, Musi G, De Cobelli O. Evaluating the impact of complications on survival outcomes in patients treated with radical cystectomy for bladder cancer. Results from an european multi-institutional collaboration (YAU urothelial cancer group). EUR UROL SUPPL 2022. [DOI: 10.1016/s2666-1683(22)01124-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
20
|
Collins J, Khetrapal P, Sridhar A, Hung A, Ghazi A, Slack M, Bishop S, Wang Y, Maier-Hein L, Anvari M, Nakawala H, Garcia P, Jarc A, Bano S, Nathan A, Percy E, Burke J, Stoyanov D, Kelly J. Digital transformation of surgical services with a focus on patient wearables. EUR UROL SUPPL 2022. [DOI: 10.1016/s2666-1683(22)02189-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
|
21
|
Thavarajah V, Akman G, Carmona Echeverria L, Griffin J, Freeman A, Haider A, Shaw G, Narashima Sridhar A, Kelly J, Pye H, Crompton J, Enica A, Whitaker H, Okoli U, Cheema U, Heavey S. 120P The compartment-specific spatial transcriptomic landscape of 3D cultured Gleason 7 prostate cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.09.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
|
22
|
Okoli U, Akman G, Thavarajah V, Carmona Echeverria L, Griffin J, Ohayi R, Freeman A, Haider A, Shaw G, Sridhar A, Kelly J, Simpson B, Pye H, Crompton J, Whitaker H, Cheema U, Heavey S. 99P The transcriptional atlas of co-targeted PIM/PI3K/mTOR ex-vivo patient-derived prostate cancer as revealed by spatial transcriptomics. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.09.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
|
23
|
McPherson S, Kelly J, Pan L, Guo L, Wu R, Chen M, Zhou T. P21-15 Comparison of routine toxicology parameters between the Göttingen and the Chinese Bama Minipig. Toxicol Lett 2022. [DOI: 10.1016/j.toxlet.2022.07.695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
24
|
Kelly J. IND03-01 The importance of animal welfare during your toxicology program. Toxicol Lett 2022. [DOI: 10.1016/j.toxlet.2022.07.240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
25
|
Bosman R, Chithirai Pandi M, Kamps J, Weatherby-Sanchez J, Neuman U, Sutter J, Sandy J, Aller P, Hough M, Kelly J, Orville A. Combining X-ray emission spectroscopy with X-ray crystallography to study metalloprotein catalysis at synchotron sources. Acta Cryst Sect A 2022. [DOI: 10.1107/s2053273322093500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2023]
|
26
|
Quigley A, Al-Khattab M, Kennedy S, Kelly J. 954 Sarcoidosis Mimicking Progression of Melanoma: A Case Report. Br J Surg 2022. [DOI: 10.1093/bjs/znac269.167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Abstract
A 78-year-old lady with a history of malignant melanoma on the dorsal aspect of her left foot, presented with a new fluorodeoxyglucose positron emission tomography (FDG-PET) avid lesion in her left fibular head.
The patient had been diagnosed eight months previously with a 5.1mm Breslow thickness invasive melanoma. Following initial diagnosis, she underwent a wide local excision and sentinel lymph node biopsy (SLN). The melanoma was completely excised and SLN was negative for malignancy.
Postoperatively, she underwent radiological staging with computed tomography scans (CT) of her thorax, abdomen, and pelvis. This showed scattered pulmonary nodules, and multiple indeterminate liver lesions. A PET scan was then performed, which showed an expansile, FDG-avid, lytic lesion in the left fibular head, suspicious for bone metastasis. Following discussion at the multidisciplinary team meeting, the patient underwent an open biopsy of the fibular head. Histology revealed non-necrotising epitheloid granulomata without evidence of malignancy. Ziehl-Neelsen and periodic acid Schiff stains were negative. The findings were suggestive of sarcoidosis.
The patient revealed she had a previous diagnosis of pulmonary sarcoidosis 25 years prior, however, had no known extrapulmonary disease and was not attending a specialist. The pulmonary findings on CT were consistent with sarcoidosis.
Sarcoidosis is a systemic inflammatory disease characterised by the development of non-caseating granulomata which typically affect the lungs and lymph nodes but can affect multiple organ systems. This case highlights the diagnostic uncertainty of an FDG-avid lesion on PET, necessitating diagnostic biopsy. Sarcoidosis is an uncommon but possible differential in this setting.
Collapse
Affiliation(s)
- A Quigley
- Department of Plastic & Reconstructive Surgery, University Hospital Galway , Galway , Ireland
| | - M Al-Khattab
- Department of Plastic & Reconstructive Surgery, University Hospital Galway , Galway , Ireland
| | - S Kennedy
- Department of Plastic & Reconstructive Surgery, University Hospital Galway , Galway , Ireland
| | - J Kelly
- Department of Plastic & Reconstructive Surgery, University Hospital Galway , Galway , Ireland
| |
Collapse
|
27
|
Barnett A, Wright C, Stone C, Ho NY, Adhyaru P, Kostjasyn S, Hickman I, Campbell K, Mayr H, Kelly J. Dietary Education Delivered by Digital Health for Improving Dietary Intake and Clinical Outcomes in Chronic Conditions: A Systematic Review and Meta-Analysis. Curr Dev Nutr 2022. [PMCID: PMC9194037 DOI: 10.1093/cdn/nzac065.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Objectives To determine the effectiveness of dietary education delivered by digital health interventions for improving dietary intake and clinical outcomes in chronic conditions. Methods CINAHL, Cochrane CENTRAL, Embase and MEDLINE databases were systematically searched. Controlled trials involving dietary education delivered via digital health interventions (mobile or electronic health technology) to adults with chronic conditions were included. The dietary intervention component must have been developed or delivered by health professionals, or in line with best practice guidelines. Data was meta-analyzed by a random effects model for diet quality, fruit and vegetable consumption, dietary intake of fat, sodium, protein, fibre and energy, and various clinical outcomes. Screening, data extraction and quality assessment were completed in duplicate. Results Thirty-eight studies compromising 7,303 participants met the inclusion criteria. Digital health interventions included: mobile phone apps and messaging systems (n = 16), internet-based (n = 16), electronic software (n = 1) or a combination of these methods (n = 5). Studies showed digital health was effective at improving Mediterranean diet adherence score [standardized mean difference: 0.79; 95% confidence interval (CI): 0.18, 1.40] and overall fruit and vegetable intake [mean difference (MD): 0.58 serves per day; 95% CI: 0.01, 1.14]. However, no significant effects were found for other measures of diet quality, single food group intake, nutrients and energy intake. Digital health interventions significantly reduced waist circumference [MD: −2.34 cm; 95% CI: −4.29, −0.38cm), body weight [MD: −1.88; 95% CI: −2.60, −1.16 kg) and hemoglobin A1c levels [MD: −0.18%; 95% CI: −0.30, −0.05%). Overall the studies were rated as poor quality. Conclusions Dietary education delivered via digital health interventions significantly improved Mediterranean diet adherence, overall fruit and vegetable intake, waist circumference, weight and hemoglobin A1c levels. However, given the relatively poor quality of the studies, additional robust trials are needed to the guide implementation and scale-up of these interventions in health services. Funding Sources None.
Collapse
|
28
|
Kelly J, Law L, De Guzman K, Hickman I, Mayr H, Campbell K, Snoswell C, Erku D. Are Telehealth-Delivered Nutrition Care Interventions Cost-Effective for Managing Chronic Diseases? A Systematic Review of All Payer Perspectives. Curr Dev Nutr 2022. [PMCID: PMC9194306 DOI: 10.1093/cdn/nzac065.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Objectives To systematically evaluate the cost-effectiveness of telehealth-delivered nutrition interventions for improving health outcomes in adults living with chronic disease. Methods PubMed, CENTRAL, CINAHL and Embase were systematically searched from database inception to November 2021. Included studies were randomized controlled trials implementing a telehealth-delivered diet intervention in adults with chronic disease compared to non-telehealth (either alone or in combination with an exercise prescription), which reported on cost-effectiveness or cost-utility analysis. All studies were independently screened, and data extraction and quality appraisal adhered to the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist by two review authors. Data analysis was conducted by grouping studies according to their telehealth modality and payer perspective. Results Twelve randomized controlled trials; five phone-only interventions, three mobile health (mHealth), two online, and one each using a combination of phone-online or phone-mHealth interventions) were included in the review. mHealth interventions were found to be the most cost-effective intervention (in 100% (n = 3) of studies. Across all telehealth interventions analyzed from health system perspectives (n = 10), 60% studies were found to be cost-effective. One of the three (33%) studies analysed from societal perspectives reported that the intervention was cost-effective. Cost-utility analyses (n = 10) found 30% of studies were cost-saving and more effective, making the interventions dominant over usual care. One study reported no difference in costs or effectiveness and the remaining six studies reported increased cost and effectiveness, requiring payers to determine whether the incremental cost per additional quality-adjusted life year (QALY) gained falls within an acceptable willingness-to-pay threshold. Quality of study reporting varied with between 63% to 92%. Conclusions Telehealth-delivered nutrition care programs appear to be cost-effective from a health system perspective, particularly mHealth modalities for managing chronic disease nutrition care. These findings support telehealth-delivered nutrition care as an effective intervention to deliver high-quality care in a cost-effective way. Funding Sources None.
Collapse
|
29
|
Joachims ML, Khatri B, Li C, Tessneer KL, Ice J, Stolarczyk AM, Means N, Grundahl K, Glenn S, Kelly J, Lewis D, Radfar L, Stone D, Guthridge J, James JA, Scofield RH, Wiley GB, Wren J, Gaffney PM, Montgomery C, Sivils K, Rasmussen A, Farris AD, Adrianto I, Lessard C. POS0098 LINC01871, IMPLICATED IN SJÖGREN’S DISEASE PATHOGENESIS, IS REGULATED BY INTERFERON-G AND CALCINEURIN SIGNALING. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundSjögren’s disease (SjD) is an autoimmune disease characterized by exocrine gland dysfunction. Long non-coding RNAs (lncRNAs) are a functionally diverse class of non-protein coding RNAs that are longer than 200 nucleotides. Our previous study using whole blood RNA-seq found that lncRNA, LINC01871, is overexpressed in SjD relative to controls [1]. CRISPR-Cas9 targeting in HSB2 T cells yielded a LINC01871-/- clone with altered expression of many genes implicated in immune regulation [1].ObjectivesThe goal of this study was to analyze the gene expression perturbations resulting from the loss of LINC01871 and to characterize the regulation of LINC01871 in both the LINC01871-/- clone and primary human T cells in response to immune stimuli.MethodsFlow cytometry and LegendPlex bead assays were used to compare surface and secreted protein expression changes, respectively, in LINC01871-/- cells and the parental HSB2 cells. Parental HSB2 T cells, LINC01871-/- cells, Kasumi-3 myeloid cells, and primary human T cells were stimulated in vitro and changes in gene expression were measured over time using qRT-PCR. Responses to interferons (IFN) were assessed using universal type I IFN (IFNα) or IFNγ. TCR signaling responses were assessed using PMA/Ionomycin (PMA/I) or anti-CD3/CD28 stimulations in the presence or absence of the calcineurin inhibitor, FK506.ResultsPrevious RNA-seq analysis found 1166 differentially expressed (DE) transcripts (log2FC ≥1 or ≤-1; padj ≤0.05) in LINC01871-/- cells compared to parental HSB2 cells, including many prominent immune regulatory genes. Changes in the basal expression of 7 proteins in LINC01871-/- cells were confirmed using flow cytometry (significantly decreased: CD8a (p=0.0004), CD30 (p=0.0008), CXCR3 (p=0.037), T-Bet (p=0.0002), and Aiolos (p=0.02); significantly increased: CD226 (p=0.0059) and CD44 (p=0.024)). Analysis of LINC01871-/- cells revealed a growth inhibition in LINC01871-/- cells (p=0.0014 at 72h), in which multiple secreted growth and adhesion factors were significantly reduced: GM-CSF (p=2.0e-06), M-CSF (p=2.7e-09), IGBPF4 (p=1.2e-07), s-ICAM1 (p=0.015), MMP9 (p=3.0e-14), and MMP2 (p=6e-08). In contrast, the IL-6 cytokine family member, LIF, was significantly increased in LINC01871-/- cells (p=1.2e-07). Because HSB2 cells were not responsive to all IFNs, IFN-mediated regulation of LINC01871 expression was examined in the Kasumi-3 myeloid cell line. While LINC01871 expression was not modulated by type I IFN stimulation, it was robustly responsive to IFNγ treatment. Since LINC01871 was expressed in T cells and implicated in T cell pathways, responses to TCR signaling pathways were characterized in HSB2 cells or purified primary human T cells treated with PMA/I. In both cell types, LINC01871 exhibited a prolonged decrease in expression that was abrogated by concurrent treatment with FK506, indicating that LINC01871 is regulated by calcineurin signaling. Treatment of primary human T cells with anti-CD3/CD28 to mimic true TCR engagement resulted in a modest decrease of LINC01871 expression at early time points, followed by an increase in expression with longer stimulation (2d).ConclusionOur findings suggest that LINC01871 is a potential mediator of the dysregulated T cell inflammatory response pathways implicated in SjD pathogenesis. LINC01871 influences the expression of many important immune cell genes and growth factors, is inducible by IFNγ, and is regulated directly by calcineurin signaling and TCR ligand engagement. Although LINC01871 functions are still unknown, observed LINC01871 overexpression in whole blood of SjD cases and after prolonged TCR stimulation in primary human T cells suggests that it could be a biomarker of SjD.References[1]Joachims, et al. Annals of the Rheumatic Diseases 2020;79:90.Disclosure of InterestsMichelle L Joachims: None declared, Bhuwan Khatri: None declared, Chuang Li: None declared, Kandice L Tessneer: None declared, John Ice: None declared, Anna M Stolarczyk: None declared, Nicolas Means: None declared, Kiely Grundahl: None declared, Stuart Glenn: None declared, Jennifer Kelly: None declared, David Lewis: None declared, Lida Radfar: None declared, Donald Stone: None declared, Joel Guthridge: None declared, Judith A. James: None declared, R Hal Scofield: None declared, Graham B Wiley: None declared, Jonathan Wren: None declared, Patrick M Gaffney: None declared, Courtney Montgomery: None declared, Kathy Sivils Employee of: Current employee of Janssen., Astrid Rasmussen: None declared, A Darise Farris: None declared, Indra Adrianto: None declared, Christopher Lessard: None declared
Collapse
|
30
|
Ross FA, Elgammal S, Reid J, Henderson S, Kelly J, Flinn R, Miller G, Sarafilovic H, Tovey SM. Magseed localisation of non-palpable breast lesions: experience from a single centre. Clin Radiol 2022; 77:291-298. [PMID: 35177228 DOI: 10.1016/j.crad.2022.01.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 01/06/2022] [Indexed: 11/03/2022]
Abstract
AIM To prospectively analyse patients undergoing magnetic seed (Magseed) localisation (MSL) to evaluate the outcome, and to retrospectively compare re-excision rates for MSL with previous wire-guided localisation (WGL) to assess the hypothesis that the introduction of MSL may lead to a lower re-excision rate. MATERIALS AND METHODS MSL commenced at University Hospital Crosshouse in December 2017. No other changes were made to radiological or surgical practice during this time. Data were collected prospectively on all patients undergoing MSL between December 2017 and December 2019, in a single breast unit. Data were gathered retrospectively on patients who had undergone localised breast procedures between January 2016 and December 2019 for comparison of re-excision rates. RESULTS Two hundred and fifty-five patients underwent MSL surgery between December 2017 and December 2019. Of those, 98% (n=250) patients underwent successful MSL at the first attempt. The Magseed was identified intraoperatively in 100% patients and surgical excision was performed. The re-excision rate reduced from 18.9% in 2016/2017, to 11.6% in 2018/2019 (p=0.098). CONCLUSION In conclusion, Magseed localisation has proved to be a safe and effective way of localising breast lesions, with the advantage of high accuracy. The reduction in re-excision rates at University Hospital Crosshouse with the introduction of Magseed® localisation is a potential benefit, which requires further study.
Collapse
Affiliation(s)
- F A Ross
- Department of Surgery, University Hospital Crosshouse, Kilmarnock Road, Crosshouse, East Ayrshire KA2 0BE, UK.
| | - S Elgammal
- Department of Surgery, University Hospital Crosshouse, Kilmarnock Road, Crosshouse, East Ayrshire KA2 0BE, UK
| | - J Reid
- Department of Surgery, University Hospital Crosshouse, Kilmarnock Road, Crosshouse, East Ayrshire KA2 0BE, UK
| | - S Henderson
- Department of Radiology, University Hospital Crosshouse, Kilmarnock Road, Crosshouse, East Ayrshire KA2 0BE, UK
| | - J Kelly
- Department of Radiology, University Hospital Crosshouse, Kilmarnock Road, Crosshouse, East Ayrshire KA2 0BE, UK
| | - R Flinn
- Department of Surgery, University Hospital Crosshouse, Kilmarnock Road, Crosshouse, East Ayrshire KA2 0BE, UK
| | - G Miller
- Department of Surgery, University Hospital Crosshouse, Kilmarnock Road, Crosshouse, East Ayrshire KA2 0BE, UK
| | - H Sarafilovic
- Department of Surgery, University Hospital Crosshouse, Kilmarnock Road, Crosshouse, East Ayrshire KA2 0BE, UK
| | - S M Tovey
- Department of Surgery, University Hospital Crosshouse, Kilmarnock Road, Crosshouse, East Ayrshire KA2 0BE, UK
| |
Collapse
|
31
|
Marx W, Veronese N, Kelly J, Collins S, Trakman GL, Wade A, Lane M, Aslam H, O'Neil A, Hebert JR, Blekkenhorst L, Berk M, Jacka F. Reply to V Gianfredi et al. Adv Nutr 2022; 13:685-686. [PMID: 37270206 PMCID: PMC8970841 DOI: 10.1093/advances/nmab151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023] Open
Affiliation(s)
- Wolfgang Marx
- From Deakin University, The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Victoria, Australia.
| | - Nicola Veronese
- Aging Branch, Neuroscience Institute, National Research Council, Padova, Italy
| | - Jaimon Kelly
- Centre of Applied Health Economics, Griffith University, Brisbane, Queensland, Australia; Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
| | - Sam Collins
- From Deakin University, The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Gina L Trakman
- Department of Dietetics, Nutrition, and Sport, La Trobe University, Melbourne, Victoria, Australia
| | - Alexandra Wade
- Alliance for Research in Exercise, Nutrition, and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Melissa Lane
- From Deakin University, The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Hajara Aslam
- From Deakin University, The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Adrienne O'Neil
- Melbourne School of Population & Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - James R Hebert
- Department of Epidemiology and Biostatistics and Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA
| | - Lauren Blekkenhorst
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia; Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Michael Berk
- From Deakin University, The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Felice Jacka
- Black Dog Institute, Sydney, New South Wales, Australia; James Cook University, Townsville, Queensland, Australia; Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| |
Collapse
|
32
|
Nathan A, Ng A, Mitra A, Davda R, Sooriakumaran P, Patel S, Fricker M, Kelly J, Shaw G, Rajan P, Sridhar A, Nathan S, Payne H,. Comparative effectiveness analysis of oncological and functional outcomes after salvage radical treatment with surgery or radiotherapy following primary focal or whole-gland ablative therapy for localised prostate cancer. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)01040-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
|
33
|
Tyer R, Smith M, Clark C, Kelly J, Fortune J. “A spoonful of sugar, makes arthroplasty rates go down”: Addressing Hba1c at point of referral to reduce surgical cancellations. Physiotherapy 2022. [DOI: 10.1016/j.physio.2021.12.193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
34
|
Bhat A, Jaffer D, Keasler P, Kamath K, Kelly J, Singh P. Uterine externalization versus in-situ repair of hysterotomy during cesarean delivery: a systematic review, equivalence meta-analysis, and trial sequential analysis. Int J Obstet Anesth 2022; 50:103271. [DOI: 10.1016/j.ijoa.2022.103271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 01/18/2022] [Accepted: 02/05/2022] [Indexed: 10/19/2022]
|
35
|
Davidson AR, Kelly J, Ball L, Morgan M, Reidlinger DP. What do patients experience? Interprofessional collaborative practice for chronic conditions in primary care: an integrative review. BMC Prim Care 2022; 23:8. [PMID: 35172731 PMCID: PMC8759162 DOI: 10.1186/s12875-021-01595-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 11/22/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Improving the patient experience is one of the quadruple aims of healthcare. Therefore, understanding patient experiences and perceptions of healthcare interactions is paramount to quality improvement. This integrative review aimed to explore how patients with chronic conditions experience Interprofessional Collaborative Practice in primary care. METHODS An integrative review was conducted to comprehensively synthesize primary studies that used qualitative, quantitative, and mixed methods. Databases searched were Medline, Embase, CINAHL and Web of Science on June 1st, 2021. Eligible studies were empirical full-text studies in primary care that reported experiences or perceptions of Interprofessional Collaborative Practice by adult patients with a chronic condition, in any language published in any year. Quality appraisal was conducted on included studies using the Mixed Method Appraisal Tool. Data on patients' experiences and perceptions of Interprofessional Collaborative Practice in primary care were extracted, and findings were thematically analyzed through a meta-synthesis. RESULTS Forty-eight (n = 48) studies met the inclusion criteria with a total of n = 3803 participants. Study quality of individual studies was limited by study design, incomplete reporting, and the potential for positive publication bias. Three themes and their sub-themes were developed inductively: (1) Interacting with Healthcare Teams, subthemes: widening the network, connecting with professionals, looking beyond the condition, and overcoming chronic condition collectively; (2) Valuing Convenient Healthcare, subthemes: sharing space and time, care planning creates structure, coordinating care, valuing the general practitioner role, and affording healthcare; (3) Engaging Self-care, subthemes: engaging passively is circumstantial, and, engaging actively and leading care. CONCLUSIONS Patients overwhelmingly had positive experiences of Interprofessional Collaborative Practice, signaling it is appropriate for chronic condition management in primary care. The patient role in managing their chronic condition was closely linked to their experience. Future studies should investigate how the patient role impacts the experience of patients, carers, and health professionals in this context. SYSTEMATIC REVIEW REGISTRATION PROSPERO: CRD42020156536.
Collapse
Affiliation(s)
- Alexandra R Davidson
- Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia.
| | - Jaimon Kelly
- Centre for Online Health, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Lauren Ball
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia
| | - Mark Morgan
- Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia
| | - Dianne P Reidlinger
- Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia
| |
Collapse
|
36
|
Satzinger KJ, Liu YJ, Smith A, Knapp C, Newman M, Jones C, Chen Z, Quintana C, Mi X, Dunsworth A, Gidney C, Aleiner I, Arute F, Arya K, Atalaya J, Babbush R, Bardin JC, Barends R, Basso J, Bengtsson A, Bilmes A, Broughton M, Buckley BB, Buell DA, Burkett B, Bushnell N, Chiaro B, Collins R, Courtney W, Demura S, Derk AR, Eppens D, Erickson C, Faoro L, Farhi E, Fowler AG, Foxen B, Giustina M, Greene A, Gross JA, Harrigan MP, Harrington SD, Hilton J, Hong S, Huang T, Huggins WJ, Ioffe LB, Isakov SV, Jeffrey E, Jiang Z, Kafri D, Kechedzhi K, Khattar T, Kim S, Klimov PV, Korotkov AN, Kostritsa F, Landhuis D, Laptev P, Locharla A, Lucero E, Martin O, McClean JR, McEwen M, Miao KC, Mohseni M, Montazeri S, Mruczkiewicz W, Mutus J, Naaman O, Neeley M, Neill C, Niu MY, O'Brien TE, Opremcak A, Pató B, Petukhov A, Rubin NC, Sank D, Shvarts V, Strain D, Szalay M, Villalonga B, White TC, Yao Z, Yeh P, Yoo J, Zalcman A, Neven H, Boixo S, Megrant A, Chen Y, Kelly J, Smelyanskiy V, Kitaev A, Knap M, Pollmann F, Roushan P. Realizing topologically ordered states on a quantum processor. Science 2021; 374:1237-1241. [PMID: 34855491 DOI: 10.1126/science.abi8378] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
[Figure: see text].
Collapse
Affiliation(s)
| | - Y-J Liu
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany
| | - A Smith
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK.,Centre for the Mathematics and Theoretical Physics of Quantum Non-Equilibrium Systems, University of Nottingham, Nottingham NG7 2RD, UK
| | - C Knapp
- Department of Physics and Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA.,Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, USA
| | - M Newman
- Google Quantum AI, Mountain View, CA, USA
| | - C Jones
- Google Quantum AI, Mountain View, CA, USA
| | - Z Chen
- Google Quantum AI, Mountain View, CA, USA
| | - C Quintana
- Google Quantum AI, Mountain View, CA, USA
| | - X Mi
- Google Quantum AI, Mountain View, CA, USA
| | | | - C Gidney
- Google Quantum AI, Mountain View, CA, USA
| | - I Aleiner
- Google Quantum AI, Mountain View, CA, USA
| | - F Arute
- Google Quantum AI, Mountain View, CA, USA
| | - K Arya
- Google Quantum AI, Mountain View, CA, USA
| | - J Atalaya
- Google Quantum AI, Mountain View, CA, USA
| | - R Babbush
- Google Quantum AI, Mountain View, CA, USA
| | - J C Bardin
- Google Quantum AI, Mountain View, CA, USA.,Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - R Barends
- Google Quantum AI, Mountain View, CA, USA
| | - J Basso
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Bilmes
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Quantum AI, Mountain View, CA, USA
| | - B Burkett
- Google Quantum AI, Mountain View, CA, USA
| | - N Bushnell
- Google Quantum AI, Mountain View, CA, USA
| | - B Chiaro
- Google Quantum AI, Mountain View, CA, USA
| | - R Collins
- Google Quantum AI, Mountain View, CA, USA
| | - W Courtney
- Google Quantum AI, Mountain View, CA, USA
| | - S Demura
- Google Quantum AI, Mountain View, CA, USA
| | - A R Derk
- Google Quantum AI, Mountain View, CA, USA
| | - D Eppens
- Google Quantum AI, Mountain View, CA, USA
| | - C Erickson
- Google Quantum AI, Mountain View, CA, USA
| | - L Faoro
- Laboratoire de Physique Theorique et Hautes Energies, Sorbonne Université, 75005 Paris, France
| | - E Farhi
- Google Quantum AI, Mountain View, CA, USA
| | - A G Fowler
- Google Quantum AI, Mountain View, CA, USA
| | - B Foxen
- Google Quantum AI, Mountain View, CA, USA
| | - M Giustina
- Google Quantum AI, Mountain View, CA, USA
| | - A Greene
- Google Quantum AI, Mountain View, CA, USA.,Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - J A Gross
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - J Hilton
- Google Quantum AI, Mountain View, CA, USA
| | - S Hong
- Google Quantum AI, Mountain View, CA, USA
| | - T Huang
- Google Quantum AI, Mountain View, CA, USA
| | | | - L B Ioffe
- Google Quantum AI, Mountain View, CA, USA
| | - S V Isakov
- Google Quantum AI, Mountain View, CA, USA
| | - E Jeffrey
- Google Quantum AI, Mountain View, CA, USA
| | - Z Jiang
- Google Quantum AI, Mountain View, CA, USA
| | - D Kafri
- Google Quantum AI, Mountain View, CA, USA
| | | | - T Khattar
- Google Quantum AI, Mountain View, CA, USA
| | - S Kim
- Google Quantum AI, Mountain View, CA, USA
| | - P V Klimov
- Google Quantum AI, Mountain View, CA, USA
| | - A N Korotkov
- Google Quantum AI, Mountain View, CA, USA.,Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | - D Landhuis
- Google Quantum AI, Mountain View, CA, USA
| | - P Laptev
- Google Quantum AI, Mountain View, CA, USA
| | - A Locharla
- Google Quantum AI, Mountain View, CA, USA
| | - E Lucero
- Google Quantum AI, Mountain View, CA, USA
| | - O Martin
- Google Quantum AI, Mountain View, CA, USA
| | | | - M McEwen
- Google Quantum AI, Mountain View, CA, USA.,Department of Physics, University of California, Santa Barbara, CA, USA
| | - K C Miao
- Google Quantum AI, Mountain View, CA, USA
| | - M Mohseni
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - J Mutus
- Google Quantum AI, Mountain View, CA, USA
| | - O Naaman
- Google Quantum AI, Mountain View, CA, USA
| | - M Neeley
- Google Quantum AI, Mountain View, CA, USA
| | - C Neill
- Google Quantum AI, Mountain View, CA, USA
| | - M Y Niu
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Opremcak
- Google Quantum AI, Mountain View, CA, USA
| | - B Pató
- Google Quantum AI, Mountain View, CA, USA
| | - A Petukhov
- Google Quantum AI, Mountain View, CA, USA
| | - N C Rubin
- Google Quantum AI, Mountain View, CA, USA
| | - D Sank
- Google Quantum AI, Mountain View, CA, USA
| | - V Shvarts
- Google Quantum AI, Mountain View, CA, USA
| | - D Strain
- Google Quantum AI, Mountain View, CA, USA
| | - M Szalay
- Google Quantum AI, Mountain View, CA, USA
| | | | - T C White
- Google Quantum AI, Mountain View, CA, USA
| | - Z Yao
- Google Quantum AI, Mountain View, CA, USA
| | - P Yeh
- Google Quantum AI, Mountain View, CA, USA
| | - J Yoo
- Google Quantum AI, Mountain View, CA, USA
| | - A Zalcman
- Google Quantum AI, Mountain View, CA, USA
| | - H Neven
- Google Quantum AI, Mountain View, CA, USA
| | - S Boixo
- Google Quantum AI, Mountain View, CA, USA
| | - A Megrant
- Google Quantum AI, Mountain View, CA, USA
| | - Y Chen
- Google Quantum AI, Mountain View, CA, USA
| | - J Kelly
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Kitaev
- Google Quantum AI, Mountain View, CA, USA.,Department of Physics and Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA.,Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, USA
| | - M Knap
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany.,Institute for Advanced Study, Technical University of Munich, 85748 Garching, Germany
| | - F Pollmann
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany
| | - P Roushan
- Google Quantum AI, Mountain View, CA, USA
| |
Collapse
|
37
|
Nathan A, Ng A, Mitra A, Sooriakumaran P, Davda R, Patel S, Fricker M, Kelly J, Shaw G, Rajan P, Sridhar A, Nathan S, Payne H. Comparative Effectiveness Analyses of Salvage Prostatectomy and Salvage Radiotherapy Outcomes Following Focal or Whole-Gland Ablative Therapy (High-Intensity Focused Ultrasound, Cryotherapy or Electroporation) for Localised Prostate Cancer. Clin Oncol (R Coll Radiol) 2021; 34:e69-e78. [PMID: 34740477 DOI: 10.1016/j.clon.2021.10.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/27/2021] [Accepted: 10/20/2021] [Indexed: 11/25/2022]
Abstract
AIMS Ablative therapy, such as focal therapy, cryotherapy or electroporation, aims to treat clinically significant prostate cancer with reduced treatment-related toxicity. Up to a third of patients may require further local salvage treatment after ablative therapy failure. Limited descriptive, but no comparative, evidence exists between different salvage treatment outcomes. The aim of this study was to compare oncological and functional outcomes after salvage robot-assisted radical prostatectomy (SRARP) and salvage radiotherapy (SRT). MATERIALS AND METHODS Data were collected prospectively and retrospectively on 100 consecutive SRARP cases and 100 consecutive SRT cases after ablative therapy failure in a high-volume tertiary centre. RESULTS High-risk patients were over-represented in the SRARP group (66.0%) compared with the SRT group (48.0%) (P = 0.013). The median (interquartile range) follow-up after SRARP was 16.5 (10.0-30.0) months and 37.0 (18.5-64.0) months after SRT. SRT appeared to confer greater biochemical recurrence-free survival at 1, 2 and 3 years compared with SRARP in high-risk patients (year 3: 86.3% versus 66.0%), but biochemical recurrence-free survival was similar for intermediate-risk patients (year 3: 90.0% versus 75.6%). There was no statistical difference in pad-free continence at 12 and 24 months between SRARP (77.2 and 84.7%) and SRT (75.0 and 74.0%) (P = 0.724, 0.114). Erectile function was more likely to be preserved in men who underwent SRT. After SRT, cumulative bowel and urinary Radiation Therapy Oncology Group toxicity grade I were 25.0 and 45.0%, grade II were 11.0 and 11.0% and grade III or IV complications were 4.0 and 5.0%, respectively. CONCLUSION We report the first comparative analyses of salvage prostatectomy and radiotherapy following ablative therapy. Men with high-risk disease appear to have superior oncological outcomes after SRT; however, treatment allocation does not appear to influence oncological outcomes for men with intermediate-risk disease. Treatment allocation was associated with a different spectrum of toxicity profile. Our data may inform shared decision-making when considering salvage treatment following focal or whole-gland ablative therapy.
Collapse
Affiliation(s)
- A Nathan
- University College London, London, UK; University College London Hospitals NHS Trust, London, UK; The Royal College of Surgeons of England, London, UK.
| | - A Ng
- University College London, London, UK
| | - A Mitra
- University College London Hospitals NHS Trust, London, UK
| | - P Sooriakumaran
- University College London Hospitals NHS Trust, London, UK; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - R Davda
- University College London Hospitals NHS Trust, London, UK
| | - S Patel
- University College London, London, UK
| | | | - J Kelly
- University College London, London, UK; University College London Hospitals NHS Trust, London, UK
| | - G Shaw
- University College London, London, UK; University College London Hospitals NHS Trust, London, UK
| | - P Rajan
- University College London Hospitals NHS Trust, London, UK
| | - A Sridhar
- University College London, London, UK; University College London Hospitals NHS Trust, London, UK
| | - S Nathan
- University College London, London, UK; University College London Hospitals NHS Trust, London, UK
| | - H Payne
- University College London, London, UK; University College London Hospitals NHS Trust, London, UK
| |
Collapse
|
38
|
Nathan A, Hanna N, Rashid A, Patel S, Phuah Y, Flora K, Fricker M, Cleaveland P, Kasivisvanathan V, Williams N, Miah S, Shah N, Hines J, Collins J, Sridhar A, Kelkar A, Briggs T, Kelly J, Shaw G, Sooriakumaran P, Rajan P, Lamb B, Nathan S. 141 New Guidelines to Reduce Unnecessary Blood Tests, Delayed Discharge and Costs Following Robot Assisted Radical Prostatectomy. Br J Surg 2021. [DOI: 10.1093/bjs/znab259.1070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
Objectives
Routine postoperative blood tests (POBT) following robot assisted radical prostatectomy (RARP) are used to evaluate the impact of surgery on pre-existing co-morbidities and to detect early complications. This practice dates back to an era of open surgery, when blood loss and complication rates were higher. We propose new guidelines to improve the specificity of POBT.
Method
The cases of 1040 consecutive patients who underwent a primary or salvage RARP at two large tertiary urology centres in the United Kingdom were retrospectively reviewed to form new guidelines. The new guidelines were prospectively validated in a sample of 300 patients.
Results
Derivation Dataset: 3% and 5% had intra- and post-operative Clavien-Dindo complications, respectively. 15% had clinical concerns postoperatively. 0.9% required perioperative transfusion. 78% had routine blood tests without clinical concerns, none of whom developed a complication. 98% of complications were suspected by clinical judgement. 6% of patients had a discharge delay of ≥ 1 day due to delayed or incomplete blood tests. Validation Dataset: No significant difference existed in complication, clinical concern or transfusion rates between the derivation and validation datasets. Number of POBT requested reduced by 73% (p < 0.001). The new guidelines improved POBT sensitivity for complications from 98% to 100% and specificity from 0% to 74%. Discharge delays reduced from 6% to 0% (p = 0.008). Cost savings were £178 per patient.
Conclusions
Postoperative complications and transfusion following RARP are rare. Routine POBT without clinical indication are unnecessary and inefficient. A guideline-based approach to POBT can reduce costs and optimise discharge without compromising patient safety or care.
Collapse
Affiliation(s)
- A Nathan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
- University College London, London, United Kingdom
| | - N Hanna
- Department of Uro-oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- University of Cambridge, Cambridge, United Kingdom
| | - A Rashid
- Department of Uro-oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- University of Cambridge, Cambridge, United Kingdom
| | - S Patel
- University College London, London, United Kingdom
| | - Y Phuah
- University College London, London, United Kingdom
| | - K Flora
- University College London, London, United Kingdom
| | - M Fricker
- Newcastle University, Newcastle, United Kingdom
| | - P Cleaveland
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - V Kasivisvanathan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - N Williams
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - S Miah
- Department of Uro-oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - N Shah
- Department of Uro-oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - J Hines
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - J Collins
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - A Sridhar
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - A Kelkar
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - T Briggs
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - J Kelly
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - G Shaw
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - P Sooriakumaran
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - P Rajan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
- Barts Cancer Institute, CR-UK Barts Centre, Queen Mary University of London, London, United Kingdom
| | - B Lamb
- Department of Uro-oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - S Nathan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| |
Collapse
|
39
|
Zhao H, Chan VWS, Castellani D, Chan EOT, Ong WLK, Peng Q, Moschini M, Krajewski W, Pradere B, Ng CF, Enikeev D, Vasdev N, Ekin G, Sousa A, Leon J, Guerrero-Ramos F, Tan WS, Kelly J, Shariat SF, Witjes JA, Teoh JYC. 1459 Intravesical Chemohyperthermia Versus Bacillus Calmette-Guerin Instillation for Intermediate- And High-Risk Non-Muscle Invasive Bladder Cancer: A Systematic Review and Meta-Analysis. Br J Surg 2021. [DOI: 10.1093/bjs/znab259.955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Introduction
Traditional intravesical chemotherapy instillations under room temperature post trans-urethral resection (TUR) of non-muscle invasive bladder cancer (NMIBC) have lower efficacies than maintenance BCG installations. Intravesical chemo-hyperthermia (CHT) at higher temperatures is developed to improve the efficacy of chemotherapy instillation. This systematic review aims to compare the use of CHT and BCG instillation post-TUR.
Method
The protocol of this review is registered on PROSPERO(CRD42020223277). A comprehensive literature search was performed on Medline, EMBASE, and Cochrane CENTRAL to identify studies comparing CHT and BCG post-TUR for intermediate- or high-risk NMIBC. Primary outcomes include recurrence-free survival (RFS) and progression-free survival (PFS). Secondary outcomes include adverse events (AE).
Results
From 2,375 identified records, four randomised control trials incorporating 327 patients were included for meta-analysis. The use of CHT was found to be non-inferior to BCG in RFS, PFS and AEs (Grades 1-3) (p > 0.05). Sensitivity analysis, excluding patients with BCG failures, show 24-36 months recurrence rate to be significantly lower in CHT group (RR 0.64, 95% CI 0.42-0.98, p = 0.04) compared to the BCG group. In patients without carcinoma in situ (CIS), RFS is also significantly better in CHT patients (HR 0.52, 95% CI 0.32- 0.85, p < 0.01). Safety profile remains non-inferior to the BCG group in sensitivity analyses. Quality of evidence across all outcomes ranged from moderate to low.
Conclusions
In well-selected patients, intravesical CHT has superior oncological outcomes and non-inferior safety profile when compared to BCG maintenance therapy for patients with intermediate- and high-risk NMIBC. CHT is a possible alternative treatment during BCG shortage.
Collapse
Affiliation(s)
- H Zhao
- The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - V W S Chan
- University of Leeds, Leeds, United Kingdom
| | | | - E O T Chan
- The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - W L K Ong
- Penang General Hospital, Penang, Malaysia
| | - Q Peng
- The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - M Moschini
- Luzerner Kantonsspital, Lucerne, Switzerland
| | | | - B Pradere
- University Hospital of Tours, Tours, France
| | - C F Ng
- The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - D Enikeev
- Sechenov University, Moscow, Russian Federation
| | - N Vasdev
- University of Hertfordshire, Hatfield, United Kingdom
| | - G Ekin
- Urla State Hospital, İzmir, Turkey
| | - A Sousa
- Comarcal Hospital, Monforte, Spain
| | - J Leon
- Comarcal Hospital, Monforte, Spain
| | | | - W S Tan
- University College London, London, United Kingdom
- Royal Free Hospital, London, United Kingdom
| | - J Kelly
- University College London, London, United Kingdom
- Royal Free Hospital, London, United Kingdom
| | - S F Shariat
- Medical University of Vienna, Vienna, Austria
- Weill Cornell Medical College, New York, USA
- University of Texas Southwestern, Dallas, USA
- Charles University, Prague, Czech Republic
- The University of Jordan, Amman, Jordan
| | - J A Witjes
- Radboud University Medical Centre, Nijimegen, Netherlands
| | - J Y C Teoh
- The Chinese University of Hong Kong, Hong Kong, Hong Kong
| |
Collapse
|
40
|
Nathan A, Fricker M, De Groote R, Arora A, Phuah Y, Flora K, Patel S, Kasivisvanathan V, Sridhar A, Shaw G, Kelly J, Briggs T, Rajan P, Sooriakumaran P, Nathan S. 283 Salvage Versus Primary Robot-Assisted Radical Prostatectomy: A Propensity-Matched Comparative Effectiveness Study from A High-Volume Tertiary Centre. Br J Surg 2021. [DOI: 10.1093/bjs/znab259.1075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Abstract
Aim
Salvage Robot-Assisted Radical Prostatectomy (sRARP) is a potential treatment option for locally recurrent Prostate Cancer after non-surgical primary treatment. There are minimal data comparing outcomes between propensity-matched salvage and primary Robot-Assisted Radical Prostatectomy (RARP). We compare perioperative, oncological, and functional outcomes of sRARP with primary RARP and between sRARP post-whole and focal gland therapy.
Method
1:1 propensity-matched comparison of 146 sRARP with primary RARP from a cohort of 3,852 consecutive patients from a high-volume tertiary centre.
Results
There were no significant differences in patient characteristics between the salvage and primary RARP groups. Grade III-V Clavien-Dindo complication rates were 1.3% and 0% in the salvage and primary groups, respectively (p = 0.310). Median (IQR) follow-up was 16 (10,30) and 21 (13,33) months in the salvage and primary groups, respectively. BCR rates were 30.8% and 13.7% in the salvage and primary groups, respectively (p < 0.001). Pad-free continence rates were 79.1% and 85.4% at two years in the salvage and primary groups, respectively (p = 0.160). ED rates were 95.2% and 77.4% in the salvage and primary groups, respectively (p < 0.001). Comparing the whole gland and focal gland groups, BCR rates were 33.3% and 29.1%, respectively (p = 0.687), pad-free continence rates were 66% and 89.3%, respectively (p = 0.001), and ED rates were 98.3% and 93%, respectively (p = 0.145).
Conclusions
SRARP has similar perioperative but inferior oncological outcomes to primary RARP. Continence rates are similar to primary RARP, but potency is worse. Perioperative and oncological outcomes of sRARP after focal gland therapy are similar but continence outcomes are superior compared to sRARP after whole gland therapy.
Collapse
Affiliation(s)
- A Nathan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
- University College London, London, United Kingdom
| | - M Fricker
- University of Newcastle, Newcastle, United Kingdom
| | - R De Groote
- Department of Urology, Onze Lieve Vrouw Hospital Aalst, Aalst, Belgium
| | - A Arora
- Department of Urology, Tata Memorial Hospital, Mumbai, India
| | - Y Phuah
- University College London, London, United Kingdom
| | - K Flora
- University College London, London, United Kingdom
| | - S Patel
- University College London, London, United Kingdom
| | - V Kasivisvanathan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
- University College London, London, United Kingdom
| | - A Sridhar
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - G Shaw
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - J Kelly
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - T Briggs
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - P Rajan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
- Barts Cancer Institute, CR-UK Barts Centre, Queen Mary University of London, London, United Kingdom
| | - P Sooriakumaran
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - S Nathan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| |
Collapse
|
41
|
Whittaker T, Abdelrazek M, Fitzpatrick A, Froud J, Kelly J, Williamson J, Williams G. 732 Delay to Elective Colorectal Cancer Surgery and its Potential Implications During the Covid-19 Pandemic: A Systematic Review and Metanalysis. Br J Surg 2021. [DOI: 10.1093/bjs/znab259.817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Aim
The ongoing Covid-19 pandemic has interrupted the surgical treatment of colorectal cancer (CRC). This systematic review will assess literature concerning the risk of delay of elective surgery for CRC patients, focusing on overall survival (OS) and disease-free survival (DFS).
Method
A systematic review was performed as per PRISMA guidelines (PROSPERO ID: CRD42020189158). Medline, EMBASE and Scopus were searched. Delay to elective surgery was defined as the period between CRC diagnosis and the day of surgery. Metanalyses of the outcome’s OS and DFS were conducted. Forest plots, funnel plots, and tests of heterogeneity were produced. An estimated Number Needed to Harm (NNH) was calculated for statistically significant pooled Hazard Ratios (HRs).
Results
Of 3753 articles identified, seven met the inclusion criteria. Encompassing 314560 patients, three of the seven studies showed that a delay to elective resection is associated with poorer OS or DFS. OS was assessed at a one-month delay, the HR for six datasets was 1.13 (95%CI 1.02-1.26, p = 0.020) and at three months the pooled HR for three datasets was 1.57 (95%CI 1.16-2.12, p = 0.004). Estimated NNHs for a delay at one month and three months were 35 and 10 respectively. Delay was non-significantly negatively associated with DFS on meta-analysis.
Conclusions
This review recommends that elective surgery for CRC patients is not postponed, as evidence suggests delays from diagnosis are associated with poorer outcomes. Focused research is essential so that patient groups can be prioritized based on risk factors for future pandemics.
Collapse
Affiliation(s)
- T Whittaker
- Cardiff University School of Medicine, Cardiff, United Kingdom
| | - M Abdelrazek
- Cardiff University School of Medicine, Cardiff, United Kingdom
| | - A Fitzpatrick
- Cardiff University School of Medicine, Cardiff, United Kingdom
| | - J Froud
- Cardiff University School of Medicine, Cardiff, United Kingdom
| | - J Kelly
- Cardiff University School of Medicine, Cardiff, United Kingdom
| | | | - G Williams
- Royal Gwent Hospital, Newport, United Kingdom
| |
Collapse
|
42
|
Wright C, Mutsekwa RN, Hamilton K, Campbell KL, Kelly J. Are eHealth interventions for adults who are scheduled for or have undergone bariatric surgery as effective as usual care? A systematic review. Surg Obes Relat Dis 2021; 17:2065-2080. [PMID: 34474983 DOI: 10.1016/j.soard.2021.07.020] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 07/21/2021] [Accepted: 07/26/2021] [Indexed: 11/18/2022]
Abstract
This systematic review aimed to evaluate the effect of eHealth-delivered interventions for adults who undergo bariatric surgery on postoperative weight loss, weight loss maintenance, eating psychopathology, quality of life, depression screening, and self-efficacy. Six electronic databases were searched, with 14 studies (across 17 reports) included, involving 1633 participants. With substantial heterogeneity, qualitative descriptions have been provided. Interventions were delivered via an online program or internet modules (n = 2), telephone (n = 2), text messages (n = 2), videoconferencing (n = 3), mobile application (n = 1), and audiovisual media (n = 1). Three studies included a combination, including internet modules and telephone (n = 1), wireless fidelity scales, emails, and telephone (n = 1), and a combination of online treatment, weekly emails, and access to a private Facebook group (n = 1). All the eHealth interventions, except for one, implemented behavior change techniques, including self-monitoring, problem solving, social support, goal setting, and shaping knowledge. Both eHealth intervention and control groups lost weight across the included studies, and eHealth was found to be as effective as or more effective than the control for weight loss. Two studies measured weight loss maintenance; both eHealth and control groups regained weight in the longer term. The interventions showed significant improvement on assessment measures for eating psychopathology. In conclusion, when bariatric surgery patients have limited or no access to healthcare teams or require additional support, eHealth may be a suitable option. Future studies implementing eHealth interventions would benefit from reporting intervention components as per the behavior change techniques taxonomy and further consideration of delivering eHealth in a stepped care approach would be beneficial.
Collapse
Affiliation(s)
- Charlene Wright
- School of Medicine and Dentistry, Centre of Applied Health Economics and Menzies Health Institute Queensland, Griffith University, Southport, Australia.
| | - Rumbidzai N Mutsekwa
- School of Medicine and Dentistry, Centre of Applied Health Economics and Menzies Health Institute Queensland, Griffith University, Southport, Australia; Gold Coast Hospital and Health Service, Nutrition and Food Service Department, Queensland, Australia; School of Allied Health Sciences, Griffith University, Queensland, Australia
| | - Kyra Hamilton
- School of Applied Psychology, Griffith University, Queensland, Australia
| | - Katrina L Campbell
- School of Medicine and Dentistry, Centre of Applied Health Economics and Menzies Health Institute Queensland, Griffith University, Southport, Australia; Healthcare Excellence and Innovation, Metro North Hospital and Health Service, Queensland, Australia
| | - Jaimon Kelly
- School of Medicine and Dentistry, Centre of Applied Health Economics and Menzies Health Institute Queensland, Griffith University, Southport, Australia; Centre for Online Health, Faculty of Medicine, University of Queensland, Queensland, Australia
| |
Collapse
|
43
|
Nathan A, Fricker M, Hanna N, Asif A, Patel S, Georgi M, Hang K, Sinha A, Mullins W, Shea J, Lamb B, Sridhar A, Kelly J, Collins J. O43 Virtual: virtual interactive surgical skills classroom: a randomized controlled trial (protocol). Br J Surg 2021. [DOI: 10.1093/bjs/znab282.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
Introduction
High costs and inaccessibility are significant barriers to face-to-face basic surgical skills (BSS) training. Virtual classrooms enable the combination of computer-based learning with interactive expert instruction. They may optimise resources and increase accessibility, facilitating larger-scale training with a similar educational benefit. We aim to evaluate the efficacy of virtual BSS classroom training compared to both non-interactive video and face-to-face teaching.
Method
72 medical students will be randomly assigned to three equal intervention groups based on surgical skills experience and confidence. Interventions will be implemented following an instructional video. Group A will practice independently, Group B will receive face-to-face training, and Group C will attend a virtual classroom. Participants will be recorded placing three interrupted sutures with hand tied knots pre- and post-intervention. Objective Structured Assessment of Technical Skills (OSATS) will be blind marked by two experts.
Result
Change in confidence, time to completion and a novel granular performance score will also be measured. Each intervention’s feasibility and accessibility will be assessed. Significant improvement in OSATS within groups will be indicative of intervention quality. Difference in improvement between groups will determine the relative performance of the interventions.
Conclusion
This will be the largest randomised control trial investigating virtual BSS classroom training. It will serve as a comprehensive appraisal of the suitability of virtual classrooms as an alternative to face-to-face training. The findings will assist the development and implementation of further resource-efficient training programs during the COVID-19 pandemic and beyond.
Take-home Message
This is the first RCT assessing virtual basic surgical skill classroom training and serves as a comprehensive appraisal of the suitability of virtual classrooms as an alternative to face-to-face training. The findings will assist the development and implementation of further resource-efficient training programs during the COVID-19 pandemic and in the future.
Collapse
Affiliation(s)
- A Nathan
- University College London, London, UK
| | | | - N Hanna
- University of Cambridge, Cambridge, UK
| | - A Asif
- University of Leicester, Leicester, UK
| | - S Patel
- University College London, London, UK
| | - M Georgi
- University College London, London, UK
| | - K Hang
- University College London, London, UK
| | - A Sinha
- University of Cambridge, Cambridge, UK
| | - W Mullins
- University of Cambridge, Cambridge, UK
| | - J Shea
- University of Cambridge, Cambridge, UK
| | - B Lamb
- Cambridge University Hospitals, Cambridge, UK
| | - A Sridhar
- University College London, London, UK
| | - J Kelly
- University College London, London, UK
| | - J Collins
- University College London, London, UK
| |
Collapse
|
44
|
Fricker M, Nathan A, Hannah N, Rashid A, Patel S, Phuah Y, Flora K, Cleaveland P, Kasivisvanathan V, Williams N, Miah S, Shah N, Hines J, Collins J, Sridhar A, Kelkar A, Briggs T, Kelly J, Shaw G, Sooriakumaran P, Rajan P, Lamb B, Nathan S. O50 New guidelines to reduce unnecessary blood tests, delayed discharge and costs following robot assisted radical prostatectomy. Br J Surg 2021. [DOI: 10.1093/bjs/znab282.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Abstract
Introduction
Routine postoperative blood tests (POBT) are used to evaluate the impact of surgery on pre-existing co-morbidities and to detect early complications. This practice dates back to an era of open surgery, when blood loss and complication rates were higher. We propose new guidelines to improve the specificity of POBT.
Method
The cases of 1040 consecutive patients who underwent a primary or salvage RARP at two large tertiary urology centres in the United Kingdom were retrospectively reviewed, and new guidelines were designed. The guidelines were prospectively validated in a cohort of 300 patients.
Result
Derivation Dataset 3% and 5% had intra- and post-operative Clavien-Dindo complications, respectively. 15% had clinical concerns postoperatively. 0.9% required perioperative transfusion. 78% had routine blood tests without clinical concerns, none of whom developed a complication. 98% of complications were suspected by clinical judgement. 6% of patients had a discharge delay of ≥ 1 days due to delayed or incomplete blood tests.
Validation Dataset No significant difference existed in complication, clinical concern or transfusion rates between the derivation and validation datasets. New guidelines improved sensitivity for complications from 98% to 100% and specificity from 0% to 74%. The number of blood tests requested reduced by 73% (P < 0.001). Discharge delays reduced from 6% to 0% (P = 0.008). Cost savings were £178 per patient.
Conclusion
Postoperative complications and transfusion following RARP are rare. Routine POBT without clinical indication are unnecessary and inefficient. A guideline-based approach to POBT can reduce costs and optimise discharge without compromising patient safety or care.
Take-home Message
Routine postoperative blood tests following robot assisted radical prostatectomy are often unnecessary. A guideline-based approach can reduce costs and optimise patient care.
Collapse
Affiliation(s)
| | - A Nathan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
- University College London
| | - N Hannah
- Department of Uro-oncology, Cambridge University Hospitals NHS Foundation Trust
- University of Cambridge
| | - A Rashid
- Department of Uro-oncology, Cambridge University Hospitals NHS Foundation Trust
- University of Cambridge
| | | | | | | | - P Cleaveland
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| | - V Kasivisvanathan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| | - N Williams
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| | - S Miah
- Department of Uro-oncology, Cambridge University Hospitals NHS Foundation Trust
| | - N Shah
- Department of Uro-oncology, Cambridge University Hospitals NHS Foundation Trust
| | - J Hines
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| | - J Collins
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| | - A Sridhar
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| | - A Kelkar
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| | - T Briggs
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| | - J Kelly
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| | - G Shaw
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| | - P Sooriakumaran
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
- Nuffield Department of Surgical Sciences, University of Oxford
| | - P Rajan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
- Barts Cancer Institute, CR-UK Barts Centre, Queen Mary University of London
| | - B Lamb
- Department of Uro-oncology, Cambridge University Hospitals NHS Foundation Trust
| | - S Nathan
- Department of Uro-oncology, University College London Hospitals NHS Foundation Trust
| |
Collapse
|
45
|
Mahil S, Yates M, Langan S, Yiu Z, Tsakok T, Dand N, Mason K, McAteer H, Meynell F, Coker B, Vincent A, Urmston D, Vesty A, Kelly J, Lancelot C, Moorhead L, Bachelez H, Bruce I, Capon F, Contreras C, Cope A, De La Cruz C, Di Meglio P, Gisondi P, Hyrich K, Jullien D, Lambert J, Marzo‐Ortega H, McInnes I, Naldi L, Norton S, Puig L, Sengupta R, Spuls P, Torres T, Warren R, Waweru H, Weinman J, Griffiths C, Barker J, Brown M, Galloway J, Smith C. Risk-mitigating behaviours in people with inflammatory skin and joint disease during the COVID-19 pandemic differ by treatment type: a cross-sectional patient survey. Br J Dermatol 2021; 185:80-90. [PMID: 33368145 PMCID: PMC9214088 DOI: 10.1111/bjd.19755] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/19/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND Registry data suggest that people with immune-mediated inflammatory diseases (IMIDs) receiving targeted systemic therapies have fewer adverse coronavirus disease 2019 (COVID-19) outcomes compared with patients receiving no systemic treatments. OBJECTIVES We used international patient survey data to explore the hypothesis that greater risk-mitigating behaviour in those receiving targeted therapies may account, at least in part, for this observation. METHODS Online surveys were completed by individuals with psoriasis (globally) or rheumatic and musculoskeletal diseases (RMDs) (UK only) between 4 May and 7 September 2020. We used multiple logistic regression to assess the association between treatment type and risk-mitigating behaviour, adjusting for clinical and demographic characteristics. We characterized international variation in a mixed-effects model. RESULTS Of 3720 participants (2869 psoriasis, 851 RMDs) from 74 countries, 2262 (60·8%) reported the most stringent risk-mitigating behaviour (classified here under the umbrella term 'shielding'). A greater proportion of those receiving targeted therapies (biologics and Janus Kinase inhibitors) reported shielding compared with those receiving no systemic therapy [adjusted odds ratio (OR) 1·63, 95% confidence interval (CI) 1·35-1·97]. The association between targeted therapy and shielding was preserved when standard systemic therapy was used as the reference group (OR 1·39, 95% CI 1·23-1·56). Shielding was associated with established risk factors for severe COVID-19 [male sex (OR 1·14, 95% CI 1·05-1·24), obesity (OR 1·37, 95% CI 1·23-1·54), comorbidity burden (OR 1·43, 95% CI 1·15-1·78)], a primary indication of RMDs (OR 1·37, 95% CI 1·27-1·48) and a positive anxiety or depression screen (OR 1·57, 95% CI 1·36-1·80). Modest differences in the proportion shielding were observed across nations. CONCLUSIONS Greater risk-mitigating behaviour among people with IMIDs receiving targeted therapies may contribute to the reported lower risk of adverse COVID-19 outcomes. The behaviour variation across treatment groups, IMIDs and nations reinforces the need for clear evidence-based patient communication on risk-mitigation strategies and may help inform updated public health guidelines as the pandemic continues.
Collapse
|
46
|
Mahil SK, Yates M, Yiu ZZN, Langan SM, Tsakok T, Dand N, Mason KJ, McAteer H, Meynell F, Coker B, Vincent A, Urmston D, Vesty A, Kelly J, Lancelot C, Moorhead L, Bachelez H, Capon F, Contreras CR, De La Cruz C, Di Meglio P, Gisondi P, Jullien D, Lambert J, Naldi L, Norton S, Puig L, Spuls P, Torres T, Warren RB, Waweru H, Weinman J, Brown MA, Galloway JB, Griffiths CM, Barker JN, Smith CH. Describing the burden of the COVID-19 pandemic in people with psoriasis: findings from a global cross-sectional study. J Eur Acad Dermatol Venereol 2021; 35:e636-e640. [PMID: 34145643 PMCID: PMC8447018 DOI: 10.1111/jdv.17450] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- S K Mahil
- St John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.,NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - M Yates
- NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.,Centre for Rheumatic Diseases, King's College London, London, UK
| | - Z Z N Yiu
- Dermatology Centre, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, UK
| | - S M Langan
- St John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.,Faculty of Epidemiology, and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - T Tsakok
- St John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.,NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - N Dand
- Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.,Health Data Research UK, London, UK
| | - K J Mason
- Centre for Rheumatic Diseases, King's College London, London, UK.,School of Medicine, Keele University, Keele, UK
| | - H McAteer
- The Psoriasis Association, Northampton, UK
| | - F Meynell
- St John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.,NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - B Coker
- NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - A Vincent
- NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - D Urmston
- The Psoriasis Association, Northampton, UK
| | - A Vesty
- The Psoriasis Association, Northampton, UK
| | - J Kelly
- Dermatology Centre, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, UK
| | - C Lancelot
- International Federation of Psoriasis Associations (IFPA), Bromma, Sweden
| | - L Moorhead
- St John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - H Bachelez
- Department of Dermatology, AP-HP Hôpital Saint-Louis, Paris, France.,INSERM U1163, Imagine Institute for Human Genetic Diseases, Université de Paris, Paris, France
| | - F Capon
- NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.,Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - C R Contreras
- Catedra de Dermatologia, Hospital de Clinicas, Facultad de Ciencias Medicas, Universidad Nacional de Asuncion, San Lorenzo, Paraguay
| | | | - P Di Meglio
- NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.,St John's Institute of Dermatology, School of Basic & Medical Biosciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - P Gisondi
- Section of Dermatology and Venereology, University of Verona, Verona, Italy
| | - D Jullien
- Department of Dermatology, Edouard Herriot Hospital, Hospices Civils de Lyon, University of Lyon, Lyon, France.,Groupe de Recherche sur le Psoriasis (GrPso) de la Société Française de Dermatologie, Paris, France
| | - J Lambert
- Department of Dermatology, Ghent University, Ghent, Belgium
| | - L Naldi
- Centro Studi GISED, Bergamo, Italy
| | - S Norton
- Psychology Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - L Puig
- Department of Dermatology, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - P Spuls
- Department of Dermatology, Amsterdam Public Health/Infection and Immunology, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - T Torres
- Department of Dermatology, Centro Hospitalar do Porto, Porto, Portugal
| | - R B Warren
- Dermatology Centre, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, UK
| | - H Waweru
- International Federation of Psoriasis Associations (IFPA), Bromma, Sweden
| | - J Weinman
- School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - M A Brown
- NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.,Centre for Rheumatic Diseases, King's College London, London, UK
| | - J B Galloway
- Centre for Rheumatic Diseases, King's College London, London, UK.,Dermatology Centre, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, UK
| | - C M Griffiths
- Dermatology Centre, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, UK
| | - J N Barker
- NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.,St John's Institute of Dermatology, School of Basic & Medical Biosciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - C H Smith
- St John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.,NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | | |
Collapse
|
47
|
Dinneen E, Grierson J, Haider A, Allen C, Heffernan-Ho D, Clow R, Freeman A, Briggs T, Nathan S, Brew-Graves C, Mallett S, Williams N, Persad R, Aning J, Oxley J, Oakley N, Morgan S, Tahir F, Ahmad I, Dutto L, Salmond J, Marzena R, Ben-Salha I, Kelly J, Shaw G. NeuroSAFE PROOF. Update on a multi-centre, pragmatic, RCT for men undergoing robot-assisted radical prostatectomy: Trial in progress. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01245-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
48
|
Nathan A, Fricker M, De Groote R, Arora A, Phuah Y, Flora K, Pavan N, Kasivisvanathan V, Collins J, Kelkar A, Sridhar A, Shaw G, Rajan P, Kelly J, Briggs T, Sooriakumaran P, Nathan S. Salvage versus primary robot-assisted radical prostatectomy: A propensity-matched comparative effectiveness study from a high-volume tertiary center. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01569-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
49
|
Maishman T, Sheikh H, Boger P, Kelly J, Cozens K, Bateman A, Davies S, Fay M, Sharland D, Jackson A. A Phase II Study of Biodegradable Stents Plus Palliative Radiotherapy in Oesophageal Cancer. Clin Oncol (R Coll Radiol) 2021; 33:e225-e231. [PMID: 33402268 DOI: 10.1016/j.clon.2020.12.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 12/02/2020] [Accepted: 12/10/2020] [Indexed: 01/21/2023]
Abstract
AIMS Self-expanding metal stents provide rapid improvement of dysphagia in oesophageal cancer but are associated with complications. The aim of the present study was to test the effectiveness of an alternative treatment of combining biodegradable stents with radiotherapy. MATERIALS AND METHODS A Simon two-stage single-arm prospective phase II trial design was used to determine the efficacy of biodegradable stents plus radiotherapy in patients with dysphagia caused by oesophagus cancer who were unsuitable for radical treatment. Fourteen patients were recruited and data from 12 were included in the final analyses. RESULTS Five of 12 patients met the primary end point: one stent-related patient death; four further interventions for dysphagia within 16 weeks of stenting (41.7%, 95% confidence interval 15.2-72.3%). The median time to a 10-point deterioration of quality of life was 2.7 weeks. Nine patients died within 52 weeks of registration. The median time to death from any cause was 15.0 weeks (95% confidence interval 9.6-not reached). CONCLUSION The high re-intervention observed, which met the pre-defined early stopping criteria, meant that the suggested alternative treatment was not sufficiently effective to be considered for a larger scale trial design. Further work is needed to define the place of biodegradable stents in the management of malignant oesophageal strictures.
Collapse
Affiliation(s)
- T Maishman
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - H Sheikh
- The Christie NHS Foundation Trust, Manchester, UK
| | - P Boger
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - J Kelly
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - K Cozens
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - A Bateman
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - S Davies
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Fay
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - D Sharland
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - A Jackson
- University Hospital Southampton NHS Foundation Trust, Southampton, UK.
| |
Collapse
|
50
|
Fitzgerald J, Duffy N, Paulitti A, Vitrani F, Curcio F, Cattaruzzi G, Sfiligoj A, Jones D, Mclnerney V, Kelly J, Finnerty A, McDonagh K, McCabe U, Duggan M, Connolly L, Barry F. Application of a novel bioreactor system for automated expansion of adipose- derived mesenchymal stem cells under gmp-compliant conditions. Cytotherapy 2021. [DOI: 10.1016/s1465324921005922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|