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Khoo JR, Chan PK, Wen C, Lau LCM, Leung TKC, Luk MH, Chan VWK, Cheung A, Cheung MH, Fu H, Chiu KY. Feasible non-surgical options for management of knee osteoarthritis during the COVID-19 pandemic and beyond. Hong Kong Med J 2024; 30:56-61. [PMID: 38369959 DOI: 10.12809/hkmj2210209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024] Open
Affiliation(s)
- J R Khoo
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China
| | - P K Chan
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China
| | - C Wen
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - L C M Lau
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China
| | - T K C Leung
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong SAR, China
| | - M H Luk
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong SAR, China
| | - V W K Chan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong SAR, China
| | - A Cheung
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong SAR, China
| | - M H Cheung
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China
| | - H Fu
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China
| | - K Y Chiu
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China
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Liu Q, Chiavaroli L, Ayoub-Charette S, Ahmed A, Khan TA, Au-Yeung F, Lee D, Cheung A, Zurbau A, Choo VL, Mejia SB, de Souza RJ, Wolever TMS, Leiter LA, Kendall CWC, Jenkins DJA, Sievenpiper JL. Fructose-containing food sources and blood pressure: A systematic review and meta-analysis of controlled feeding trials. PLoS One 2023; 18:e0264802. [PMID: 37582096 PMCID: PMC10427023 DOI: 10.1371/journal.pone.0264802] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/30/2023] [Indexed: 08/17/2023] Open
Abstract
Whether food source or energy mediates the effect of fructose-containing sugars on blood pressure (BP) is unclear. We conducted a systematic review and meta-analysis of the effect of different food sources of fructose-containing sugars at different levels of energy control on BP. We searched MEDLINE, Embase and the Cochrane Library through June 2021 for controlled trials ≥7-days. We prespecified 4 trial designs: substitution (energy matched substitution of sugars); addition (excess energy from sugars added); subtraction (excess energy from sugars subtracted); and ad libitum (energy from sugars freely replaced). Outcomes were systolic and diastolic BP. Independent reviewers extracted data. GRADE assessed the certainty of evidence. We included 93 reports (147 trial comparisons, N = 5,213) assessing 12 different food sources across 4 energy control levels in adults with and without hypertension or at risk for hypertension. Total fructose-containing sugars had no effect in substitution, subtraction, or ad libitum trials but decreased systolic and diastolic BP in addition trials (P<0.05). There was evidence of interaction/influence by food source: fruit and 100% fruit juice decreased and mixed sources (with sugar-sweetened beverages [SSBs]) increased BP in addition trials and the removal of SSBs (linear dose response gradient) and mixed sources (with SSBs) decreased BP in subtraction trials. The certainty of evidence was generally moderate. Food source and energy control appear to mediate the effect of fructose-containing sugars on BP. The evidence provides a good indication that fruit and 100% fruit juice at low doses (up to or less than the public health threshold of ~10% E) lead to small, but important reductions in BP, while the addition of excess energy of mixed sources (with SSBs) at high doses (up to 23%) leads to moderate increases and their removal or the removal of SSBs alone (up to ~20% E) leads to small, but important decreases in BP in adults with and without hypertension or at risk for hypertension. Trial registration: Clinicaltrials.gov: NCT02716870.
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Affiliation(s)
- Qi Liu
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Laura Chiavaroli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Sabrina Ayoub-Charette
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Amna Ahmed
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Tauseef A. Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Fei Au-Yeung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- INQUIS Clinical Research Ltd. (formerly GI Labs), Toronto, Ontario, Canada
| | - Danielle Lee
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Annette Cheung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Andreea Zurbau
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- INQUIS Clinical Research Ltd. (formerly GI Labs), Toronto, Ontario, Canada
| | - Vivian L. Choo
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Russell J. de Souza
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, Ontario, Canada
| | - Thomas M. S. Wolever
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- INQUIS Clinical Research Ltd. (formerly GI Labs), Toronto, Ontario, Canada
| | - Lawrence A. Leiter
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Cyril W. C. Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - David J. A. Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - John L. Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
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Chan PK, Chan TCW, Mak CYH, Chan THM, Chan SHW, Wong SSC, Fu H, Cheung A, Chan VWK, Cheung MH, Cheung CW, Chiu KY. Pain Relief After Total Knee Arthroplasty with Intravenous and Periarticular Corticosteroid: A Randomized Controlled Trial. J Bone Joint Surg Am 2023; Publish Ahead of Print:00004623-990000000-00809. [PMID: 37220180 DOI: 10.2106/jbjs.22.01218] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
BACKGROUND Total knee arthroplasty (TKA) is a cost-effective procedure, but it is also associated with substantial postoperative pain. The present study aimed to compare pain relief and functional recovery after TKA among groups that received intravenous corticosteroids, periarticular corticosteroids, or a combination of both. METHODS This randomized, double-blinded clinical trial in a local institution in Hong Kong recruited 178 patients who underwent primary unilateral TKA. Six of these patients were excluded because of changes in surgical technique; 4, because of their hepatitis B status; 2, because of a history of peptic ulcer; and 2, because they declined to participate in the study. Patients were randomized 1:1:1:1 to receive placebo (P), intravenous corticosteroids (IVS), periarticular corticosteroids (PAS), or a combination of intravenous and periarticular corticosteroids (IVSPAS). RESULTS The pain scores at rest were significantly lower in the IVSPAS group than in the P group over the first 48 hours (p = 0.034) and 72 hours (p = 0.043) postoperatively. The pain scores during movement were also significantly lower in the IVS and IVSPAS groups than in the P group over the first 24, 48, and 72 hours (p ≤ 0.023 for all). The flexion range of the operatively treated knee was significantly better in the IVSPAS group than in the P group on postoperative day 3 (p = 0.027). Quadriceps power was also greater in the IVSPAS group than in the P group on postoperative days 2 (p = 0.005) and 3 (p = 0.007). Patients in the IVSPAS group were able to walk significantly further than patients in the P group in the first 3 postoperative days (p ≤ 0.003). Patients in the IVSPAS group also had a higher score on the Elderly Mobility Scale than those in the P group (p = 0.036). CONCLUSIONS IVS and IVSPAS yielded similar pain relief, but IVSPAS yielded a larger number of rehabilitation parameters that were significantly better than those in the P group. This study provides new insights into pain management and postoperative rehabilitation following TKA. LEVEL OF EVIDENCE Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.
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Affiliation(s)
- P K Chan
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR
| | - T C W Chan
- Department of Anaesthesia, Pain and Perioperative Medicine, Queen Mary Hospital, Hong Kong SAR
| | - C Y H Mak
- Department of Anaesthesia, Pain and Perioperative Medicine, Queen Mary Hospital, Hong Kong SAR
| | - T H M Chan
- Department of Anaesthesia, Pain and Perioperative Medicine, Queen Mary Hospital, Hong Kong SAR
| | - S H W Chan
- Department of Anaesthesia, Pain and Perioperative Medicine, Queen Mary Hospital, Hong Kong SAR
| | - S S C Wong
- Department of Anaesthesiology, The University of Hong Kong, Hong Kong SAR
| | - H Fu
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR
| | - A Cheung
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong SAR
| | - V W K Chan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong SAR
| | - M H Cheung
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR
| | - C W Cheung
- Department of Anaesthesiology, The University of Hong Kong, Hong Kong SAR
| | - K Y Chiu
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR
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Plagiannakos CG, Montano-Loza AJ, Lytvyak E, Pallotta J, Mason AL, Qumosani KM, Worobetz L, Flemming JA, Hercun J, Vincent C, Cheung A, Chen T, Grbic D, Swain MG, Gulamhusein A, Hansen BE, Hirschfield GM. A44 A 1000 PATIENT CANADIAN NETWORK FOR AUTOIMMUNE LIVER DISEASE EVALUATION OF CLINICAL AND DEMOGRAPHIC PATTERNS OF AUTOIMMUNE HEPATITIS. J Can Assoc Gastroenterol 2023. [PMCID: PMC9991181 DOI: 10.1093/jcag/gwac036.044] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
Background We sought to understand how the demographics of autoimmune hepatitis (AIH) have changed over time in Canada. Purpose Using a large multi-centre Canadian cohort of patients with AIH, we describe the trends in patient and disease characteristics at presentation across 30 years of clinical practice. Method Patients from the Canadian Network for Autoimmune Liver Disease with a confirmed diagnosis of AIH (simplified score ≥6) were included for analysis. Patients were grouped into five cohorts according to the year of diagnosis (i.e., <2000, 2000-2004, 2005-2009, 2010-2014, ≥2015). Patient demographics and baseline clinical and biochemistry features of disease activity were investigated using Chi-square tests and Kruskal-Wallis tests adjusted for multiple comparisons. Logistic and linear regression models with estimated means were utilized to further investigate relationships with time and to adjust for confounding. Result(s) 1016 patients followed across 10 Canadian health centres with AIH were diagnosed between November 1965 and December 2021. Overall, 76.4% (n=776) of patients were female, and the median age at diagnosis was 46 years (IQR 28.2 - 58.3). Cirrhosis at presentation was seen in 20.6% of patients (n=209). The median age at diagnosis increased significantly from 31.8 years [IQR 17.9 - 46.8] pre-2000 to 54 years [IQR 9.0 - 95.2] after 2014 (p<0.001; Figure 1a). This effect of time persisted after adjusting for sex and cirrhosis status at diagnosis. Female sex and the presence of cirrhosis at diagnosis were factors independently associated with older age at presentation (p<0.0001). The proportion of patients that presented with cirrhosis at diagnosis increased significantly over calendar time, from 13.7% (n=23) pre-2000 to 30.8% (n=69) after 2014 (p=0.003; Figure 1b). Male sex was independently associated with an increased odds of having cirrhosis at presentation (OR= 1.46, CI 1.02 - 2.07) and higher baseline ALT levels compared to females (p=0.036). The proportion of patients that identified as non-white ethnicity increased significantly from 15.2% (n= 24) pre-2000, to 32% (n= 86) after 2014 (p<0.001, Figure 1b). This effect of time on ethnicity was most pronounced after the year 2010 (OR= 2.32, CI 1.39 - 3.98) and persisted after adjusting for sex. There was no significant pattern of change in sex over calendar time. Image ![]()
Conclusion(s) In Canada, patients with AIH at presentation are now older, have more advanced disease, and are more ethnically diverse than when compared to 30 years ago. Please acknowledge all funding agencies by checking the applicable boxes below Other Please indicate your source of funding; industry Disclosure of Interest None Declared
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Affiliation(s)
- C G Plagiannakos
- Toronto Centre for Liver Disease, Toronto Western and General Hospital, University Health Network,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto
| | - A J Montano-Loza
- Division of Gastroenterology and Hepatology, University of Alberta, Edmonton
| | - E Lytvyak
- Division of Gastroenterology and Hepatology, University of Alberta, Edmonton
| | - J Pallotta
- Toronto Centre for Liver Disease, Toronto Western and General Hospital, University Health Network
| | - A L Mason
- Division of Gastroenterology and Hepatology, University of Alberta, Edmonton
| | - K M Qumosani
- Department of Medicine, Western University, London
| | - L Worobetz
- Department of Medicine, University of Saskatchewan, Saskatoon
| | - J A Flemming
- Medicine and Public Health Sciences, Queen's University, Kingston
| | - J Hercun
- Département De Médecins, Centre Hospitalier De l’Université De Montréal, Montréal
| | - C Vincent
- Département De Médecins, Centre Hospitalier De l’Université De Montréal, Montréal
| | - A Cheung
- Department of Medicine, University of Ottawa, Ottawa
| | - T Chen
- Department of Medicine, McGill University Health Centre, Montréal
| | - D Grbic
- Université De Sherbrooke, Sherbrooke
| | - M G Swain
- Division of Gastroenterology and Hepatology, University of Calgary, Calgary, Canada
| | - A Gulamhusein
- Toronto Centre for Liver Disease, Toronto Western and General Hospital, University Health Network,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto
| | - B E Hansen
- Toronto Centre for Liver Disease, Toronto Western and General Hospital, University Health Network,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto,Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - G M Hirschfield
- Toronto Centre for Liver Disease, Toronto Western and General Hospital, University Health Network,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto
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Chiavaroli L, Cheung A, Ayoub-Charette S, Ahmed A, Lee D, Au-Yeung F, Qi X, Back S, McGlynn N, Ha V, Lai E, Khan TA, Blanco Mejia S, Zurbau A, Choo VL, de Souza RJ, Wolever TM, Leiter LA, Kendall CW, Jenkins DJ, Sievenpiper JL. Important food sources of fructose-containing sugars and adiposity: A systematic review and meta-analysis of controlled feeding trials. Am J Clin Nutr 2023; 117:741-765. [PMID: 36842451 DOI: 10.1016/j.ajcnut.2023.01.023] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [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: 06/06/2022] [Revised: 12/29/2022] [Accepted: 01/18/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Sugar-sweetened beverages (SSBs) providing excess energy increase adiposity. The effect of other food sources of sugars at different energy control levels is unclear. OBJECTIVES To determine the effect of food sources of fructose-containing sugars by energy control on adiposity. METHODS In this systematic review and meta-analysis, MEDLINE, Embase, and Cochrane Library were searched through April 2022 for controlled trials ≥2 wk. We prespecified 4 trial designs by energy control: substitution (energy-matched replacement of sugars), addition (energy from sugars added), subtraction (energy from sugars subtracted), and ad libitum (energy from sugars freely replaced). Independent authors extracted data. The primary outcome was body weight. Secondary outcomes included other adiposity measures. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to assess the certainty of evidence. RESULTS We included 169 trials (255 trial comparisons, n = 10,357) assessing 14 food sources at 4 energy control levels over a median 12 wk. Total fructose-containing sugars increased body weight (MD: 0.28 kg; 95% CI: 0.06, 0.50 kg; PMD = 0.011) in addition trials and decreased body weight (MD: -0.96 kg; 95% CI: -1.78, -0.14 kg; PMD = 0.022) in subtraction trials with no effect in substitution or ad libitum trials. There was interaction/influence by food sources on body weight: substitution trials [fruits decreased; added nutritive sweeteners and mixed sources (with SSBs) increased]; addition trials [dried fruits, honey, fruits (≤10%E), and 100% fruit juice (≤10%E) decreased; SSBs, fruit drink, and mixed sources (with SSBs) increased]; subtraction trials [removal of mixed sources (with SSBs) decreased]; and ad libitum trials [mixed sources (with/without SSBs) increased]. GRADE scores were generally moderate. Results were similar across secondary outcomes. CONCLUSIONS Energy control and food sources mediate the effect of fructose-containing sugars on adiposity. The evidence provides a good indication that excess energy from sugars (particularly SSBs at high doses ≥20%E or 100 g/d) increase adiposity, whereas their removal decrease adiposity. Most other food sources had no effect, with some showing decreases (particularly fruits at lower doses ≤10%E or 50 g/d). This trial was registered at clinicaltrials.gov as NCT02558920 (https://clinicaltrials.gov/ct2/show/NCT02558920).
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Affiliation(s)
- Laura Chiavaroli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Annette Cheung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sabrina Ayoub-Charette
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Amna Ahmed
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Danielle Lee
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Fei Au-Yeung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - XinYe Qi
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Songhee Back
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Néma McGlynn
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Vanessa Ha
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada; School of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Ethan Lai
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Tauseef A Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Andreea Zurbau
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada; INQUIS Clinical Research Ltd. (formerly GI Labs), Toronto, Ontario, Canada
| | - Vivian L Choo
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Russell J de Souza
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, Ontario, Canada
| | - Thomas Ms Wolever
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; INQUIS Clinical Research Ltd. (formerly GI Labs), Toronto, Ontario, Canada; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril Wc Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada; College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - David Ja Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
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Matthewman J, Tadrous M, Mansfield K, Thiruchelvam D, Redelmeier D, Cheung A, Lega I, Prieto-Alhambra D, Cunliffe L, Langan S, Drucker A. 078 Association between oral corticosteroid prescribing patterns and appropriate fracture preventive care: UK and Ontario population-based cohort studies. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.088] [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: 11/19/2022]
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Lee D, Chiavaroli L, Ayoub-Charette S, Khan TA, Zurbau A, Au-Yeung F, Cheung A, Liu Q, Qi X, Ahmed A, Choo VL, Blanco Mejia S, Malik VS, El-Sohemy A, de Souza RJ, Wolever TMS, Leiter LA, Kendall CWC, Jenkins DJA, Sievenpiper JL. Important Food Sources of Fructose-Containing Sugars and Non-Alcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis of Controlled Trials. Nutrients 2022; 14:nu14142846. [PMID: 35889803 PMCID: PMC9325155 DOI: 10.3390/nu14142846] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 06/28/2022] [Accepted: 06/29/2022] [Indexed: 12/15/2022] Open
Abstract
Background: Fructose providing excess calories in the form of sugar sweetened beverages (SSBs) increases markers of non-alcoholic fatty liver disease (NAFLD). Whether this effect holds for other important food sources of fructose-containing sugars is unclear. To investigate the role of food source and energy, we conducted a systematic review and meta-analysis of controlled trials of the effect of fructose-containing sugars by food source at different levels of energy control on non-alcoholic fatty liver disease (NAFLD) markers. Methods and Findings: MEDLINE, Embase, and the Cochrane Library were searched through 7 January 2022 for controlled trials ≥7-days. Four trial designs were prespecified: substitution (energy-matched substitution of sugars for other macronutrients); addition (excess energy from sugars added to diets); subtraction (excess energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced by other macronutrients). The primary outcome was intrahepatocellular lipid (IHCL). Secondary outcomes were alanine aminotransferase (ALT) and aspartate aminotransferase (AST). Independent reviewers extracted data and assessed risk of bias. The certainty of evidence was assessed using GRADE. We included 51 trials (75 trial comparisons, n = 2059) of 10 food sources (sugar-sweetened beverages (SSBs); sweetened dairy alternative; 100% fruit juice; fruit; dried fruit; mixed fruit sources; sweets and desserts; added nutritive sweetener; honey; and mixed sources (with SSBs)) in predominantly healthy mixed weight or overweight/obese younger adults. Total fructose-containing sugars increased IHCL (standardized mean difference = 1.72 [95% CI, 1.08 to 2.36], p < 0.001) in addition trials and decreased AST in subtraction trials with no effect on any outcome in substitution or ad libitum trials. There was evidence of influence by food source with SSBs increasing IHCL and ALT in addition trials and mixed sources (with SSBs) decreasing AST in subtraction trials. The certainty of evidence was high for the effect on IHCL and moderate for the effect on ALT for SSBs in addition trials, low for the effect on AST for the removal of energy from mixed sources (with SSBs) in subtraction trials, and generally low to moderate for all other comparisons. Conclusions: Energy control and food source appear to mediate the effect of fructose-containing sugars on NAFLD markers. The evidence provides a good indication that the addition of excess energy from SSBs leads to large increases in liver fat and small important increases in ALT while there is less of an indication that the removal of energy from mixed sources (with SSBs) leads to moderate reductions in AST. Varying uncertainty remains for the lack of effect of other important food sources of fructose-containing sugars at different levels of energy control.
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Affiliation(s)
- Danielle Lee
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Laura Chiavaroli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Sabrina Ayoub-Charette
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Tauseef A. Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Andreea Zurbau
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- INQUIS Clinical Research Ltd. (Formerly GI Labs), Toronto, ON M5C 2N8, Canada
| | - Fei Au-Yeung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- INQUIS Clinical Research Ltd. (Formerly GI Labs), Toronto, ON M5C 2N8, Canada
| | - Annette Cheung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Qi Liu
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Xinye Qi
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Amna Ahmed
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Vivian L. Choo
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON M5G 1V7, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Vasanti S. Malik
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Ahmed El-Sohemy
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
| | - Russell J. de Souza
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada
- Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, ON L8L 2X2, Canada
| | - Thomas M. S. Wolever
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- INQUIS Clinical Research Ltd. (Formerly GI Labs), Toronto, ON M5C 2N8, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Lawrence A. Leiter
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B 1T8, Canada
| | - Cyril W. C. Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
| | - David J. A. Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B 1T8, Canada
| | - John L. Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B 1T8, Canada
- Correspondence: ; Tel.: +1-416-867-3732
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Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study. Lancet Digit Health 2022; 4:e520-e531. [PMID: 35750401 DOI: 10.1016/s2589-7500(22)00069-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 01/07/2022] [Accepted: 04/06/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications. METHODS We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC). FINDINGS In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]). INTERPRETATION In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required. FUNDING British Journal of Surgery Society.
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9
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Cheung A, Chan PK, Fu H, Cheung MH, Chan VWK, Yan CH, Chiu KY. Total knee arthroplasty is safe for patients aged ≥80 years in Hong Kong. Hong Kong Med J 2021; 27:350-354. [PMID: 34706985 DOI: 10.12809/hkmj208942] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Total knee arthroplasty (TKA) is an efficacious operation that improves pain and function in patients with knee arthritis. Because of the population ageing trend in Hong Kong, there is a need to determine the safety profile of TKA in older patients. This study examined the age of patients who underwent TKA in the past 10 years in Hong Kong; the aim was to investigate the mortality safety profile and clinical outcomes of TKA in patients aged ≥80 years. METHODS This study included all patients who underwent primary TKA in the Hospital Authority (HA) from 2010 to 2019. Incidences of 30-day, 90-day, and 1-year mortality were established. Clinical outcomes of patients aged ≥80 years in one cluster of HA hospitals were assessed. RESULTS Between 2010 and 2019, 25 040 TKA procedures were conducted in all HA hospitals; 2491 were conducted in patients aged ≥80 years. The median age at operation was higher during 2015-2019 than during 2010-2014 (70 vs 69 years; P<0.001); furthermore, an increase was observed in the proportion of patients aged ≥80 years at the time of operation. Incidences of 30-day, 90-day, and 1-year mortality were 0.156%, 0.35%, and 1.09%, respectively. CONCLUSIONS In this first study to examine the safety profile of TKA in older patients in Hong Kong, the mean age at the time of TKA and proportion of patients aged ≥80 years have steadily risen in the past decade. Even in older patients, TKA is a reasonably safe procedure.
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Affiliation(s)
- A Cheung
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong
| | - P K Chan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong
| | - H Fu
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong
| | - M H Cheung
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong
| | - V W K Chan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong
| | - C H Yan
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong
| | - K Y Chiu
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong
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10
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Akodad M, Sathananthan G, Chatfield AG, Trpkov C, Lounes Y, Chuang A, Wood DA, Boone RH, Moss R, Cheung A, Ye J, Blanke P, Leipsic J, Sathananthan J, Webb JG. Transcatheter mitral valve-in-valve implantation: a 10-year single center experience. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2216] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Transcatheter mitral valve-in-valve (TMVIV) appears a reasonable alternative to surgical redo mitral valve replacement in patients with degenerated mitral prosthesis and high surgical risk with favorable early and mid-terms outcomes. Long-term outcomes are limited by high mortality in a comorbid population.
Purpose
We aimed to evaluate early prosthesis hemodynamic performance and late clinical outcomes following TMVIV.
Methods
All patients who underwent TMVIV for degenerated surgical mitral bioprostheses from 2011 to 2020 in our center were included. Prospectively collected demographic, clinical, procedural, and imaging variables were analyzed. Clinical and echocardiographic outcomes were defined according to Mitral Valve Academic Research Consortium (MVARC) definitions and assessed at 30-day and at the latest follow-up available.
Results
A total of 67 patients were included; mean age 76.9±9.6 years, mean STS score 11.0±6.2%, 53.7% male (n=36). Mechanisms of bioprosthetic failure were mitral stenosis (n=32, 47.8%), mitral regurgitation (n=24, 35.8%), and mixed (n=11, 16.4%). Mean time from mitral valve surgery to TMVIV was 10.2±4.3 years. Access was mostly transapical (n=45; 67.2%), followed by transseptal (n=22; 32.8%). Following the first transseptal procedure in 2016; transseptal access accounted for the majority of procedures (22 of 37 cases, 59.4%).
Technical success was achieved in 65 patients (97.0%). Mean hospitalization was 9.2±10.0 days; shorter with the transseptal as opposed to the transapical approach (6.3±8.1 days versus 11.0±10.5 days, p=0.001). At 30-day echographic follow-up, mean mitral valve gradient was 7.3±2.7 and 1 patient (1.9%) had mitral regurgitation >mild.
At 30-day follow-up, 3 patients had died (4.5%); due to left ventricular outflow tract obstruction (1), heart failure (1), and stroke (1). New pacemakers were required in 2 patients (3.0%) and pacemaker lead dislodgement occurred in 1 patient (1.5%), 4 patients (6.2%) were hospitalized for heart failure. At a median follow-up of 3.8 years [1.7–5.1], 29 patients had died (43.3%), valve thrombosis was found in 6 (8.9%) and endocarditis in 4 patients (6.2%). Mitral valve reintervention was performed in 4 patients (6.2%); redo TMVIV due to valve migration in 1 (1.9%), surgical valve replacement in 1 (1.9%), and delayed redilation with a non-compliant balloon due to underexpansion in 2 patients (3.8%).
Conclusion
TMVIV is associated with acceptable 30-day mitral valve hemodynamics. Long-term mortality remains high in this high-surgical risk comorbid group.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- M Akodad
- St Paul's Hospital, Vancouver, Canada
| | | | | | - C Trpkov
- St Paul's Hospital, Vancouver, Canada
| | - Y Lounes
- Vancouver General Hospital, Vancouver, Canada
| | - A Chuang
- St Paul's Hospital, Vancouver, Canada
| | - D A Wood
- St Paul's Hospital, Vancouver, Canada
| | - R H Boone
- St Paul's Hospital, Vancouver, Canada
| | - R Moss
- St Paul's Hospital, Vancouver, Canada
| | - A Cheung
- St Paul's Hospital, Vancouver, Canada
| | - J Ye
- St Paul's Hospital, Vancouver, Canada
| | - P Blanke
- St Paul's Hospital, Vancouver, Canada
| | - J Leipsic
- St Paul's Hospital, Vancouver, Canada
| | | | - J G Webb
- St Paul's Hospital, Vancouver, Canada
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11
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Kwan LYA, Lee J, Cheung A, Chan J. 838 Pulmonary Embolectomy: Techniques and Outcomes from The Literature. Br J Surg 2021. [DOI: 10.1093/bjs/znab259.249] [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: 11/15/2022]
Abstract
Abstract
Aim
Pulmonary embolectomy involves the surgical removal of a thrombus from the pulmonary tree, with the most popular approaches being surgical embolectomy (SE), percutaneous pulmonary embolectomy (PPE) and minimally invasive thoracotomy (MIT). The latter two new techniques are gradually increasing in popularity in the treatment of acute pulmonary embolism (PE) due to reduced recovery times. This study aims to evaluate and compare the clinical outcomes of the three aforementioned techniques in the treatment of acute PE.
Method
A literature review was performed with PUBMED to identify studies reporting these interventions. 79 papers were included, involving a total of 2445 patients. Patients’ baseline characteristics and perioperative status, inpatient mortality rates and complication rates of each intervention group were individually assessed and compared.
Results
Among all three interventions, SE studies demonstrated the highest in-patient mortality rate (20.8%). Patients receiving SE are also more likely to have pulmonary (2.8%) and other postoperative bleeding (7.4%). PPE patients are more likely to develop gastrointestinal bleeding and surgical site complications (4%). Scatter graph of the SE studies showed a declining trend of mortality rate over time (R²=0.50).
Conclusions
All three methods are effective in treating acute PE, while SE showed a trend of decreasing mortality over time. Further research on PPE and MIT is needed to define its place in the treatment of acute PE.
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Affiliation(s)
- L Y A Kwan
- St Georges, University of London, London, United Kingdom
| | - J Lee
- Darent Valley Hospital, Dartford, United Kingdom
| | - A Cheung
- Medway Maritime Hospital, Medway, United Kingdom
| | - J Chan
- University of Bristol, Bristol, United Kingdom
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12
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Ayoub-Charette S, Chiavaroli L, Liu Q, Khan TA, Zurbau A, Au-Yeung F, Cheung A, Ahmed A, Lee D, Choo VL, Blanco Mejia S, de Souza RJ, Wolever TM, Leiter LA, Kendall CW, Jenkins DJ, Sievenpiper JL. Different Food Sources of Fructose-Containing Sugars and Fasting Blood Uric Acid Levels: A Systematic Review and Meta-Analysis of Controlled Feeding Trials. J Nutr 2021; 151:2409-2421. [PMID: 34087940 PMCID: PMC8349131 DOI: 10.1093/jn/nxab144] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 04/11/2021] [Accepted: 04/21/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Although fructose as a source of excess calories increases uric acid, the effect of the food matrix is unclear. OBJECTIVES To assess the effects of fructose-containing sugars by food source at different levels of energy control on uric acid, we conducted a systematic review and meta-analysis of controlled trials. METHODS MEDLINE, Embase, and the Cochrane Library were searched (through 11 January 2021) for trials ≥ 7 days. We prespecified 4 trial designs by energy control: substitution (energy-matched replacement of sugars in diets); addition (excess energy from sugars added to diets); subtraction (energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced in diets) designs. Independent reviewers (≥2) extracted data and assessed the risk of bias. Grading of Recommendations, Assessment, Development, and Evaluation was used to assess the certainty of evidence. RESULTS We included 47 trials (85 comparisons; N = 2763) assessing 9 food sources [sugar-sweetened beverages (SSBs), sweetened dairy, fruit drinks, 100% fruit juice, fruit, dried fruit, sweets and desserts, added nutritive sweetener, and mixed sources] across 4 energy control levels in predominantly healthy, mixed-weight adults. Total fructose-containing sugars increased uric acid levels in substitution trials (mean difference, 0.16 mg/dL; 95% CI: 0.06-0.27 mg/dL; P = 0.003), with no effect across the other energy control levels. There was evidence of an interaction by food source: SSBs and sweets and desserts increased uric acid levels in the substitution design, while SSBs increased and 100% fruit juice decreased uric acid levels in addition trials. The certainty of evidence was high for the increasing effect of SSBs in substitution and addition trials and the decreasing effect of 100% fruit juice in addition trials and was moderate to very low for all other comparisons. CONCLUSIONS Food source more than energy control appears to mediate the effects of fructose-containing sugars on uric acid. The available evidence provides reliable indications that SSBs increase and 100% fruit juice decreases uric acid levels. More high-quality trials of different food sources are needed. This trial was registered at clinicaltrials.gov as NCT02716870.
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Affiliation(s)
- Sabrina Ayoub-Charette
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Laura Chiavaroli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Qi Liu
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Tauseef Ahmad Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Andreea Zurbau
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,INQUIS Clinical Research Ltd. (formerly Glycemic Index Laboratories, Inc.), Toronto, Ontario, Canada
| | - Fei Au-Yeung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,INQUIS Clinical Research Ltd. (formerly Glycemic Index Laboratories, Inc.), Toronto, Ontario, Canada
| | - Annette Cheung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Amna Ahmed
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Danielle Lee
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Vivian L Choo
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, Ontario, Canada
| | - Thomas Ms Wolever
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,INQUIS Clinical Research Ltd. (formerly Glycemic Index Laboratories, Inc.), Toronto, Ontario, Canada.,Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril Wc Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - David Ja Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
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13
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Chiavaroli L, Lee D, Ahmed A, Cheung A, Khan TA, Blanco S, Mejia, Mirrahimi A, Jenkins DJA, Livesey G, Wolever TMS, Rahelić D, Kahleová H, Salas-Salvadó J, Kendall CWC, Sievenpiper JL. Effect of low glycaemic index or load dietary patterns on glycaemic control and cardiometabolic risk factors in diabetes: systematic review and meta-analysis of randomised controlled trials. BMJ 2021; 374:n1651. [PMID: 34348965 PMCID: PMC8336013 DOI: 10.1136/bmj.n1651] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/23/2021] [Indexed: 12/29/2022]
Abstract
OBJECTIVE To inform the update of the European Association for the Study of Diabetes clinical practice guidelines for nutrition therapy. DESIGN Systematic review and meta-analysis of randomised controlled trials. DATA SOURCES Medline, Embase, and the Cochrane Library searched up to 13 May 2021. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Randomised controlled trials of three or more weeks investigating the effect of diets with low glycaemic index (GI)/glycaemic load (GL) in diabetes. OUTCOME AND MEASURES The primary outcome was glycated haemoglobin (HbA1c). Secondary outcomes included other markers of glycaemic control (fasting glucose, fasting insulin); blood lipids (low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), non-HDL-C, apo B, triglycerides); adiposity (body weight, BMI (body mass index), waist circumference), blood pressure (systolic blood pressure (SBP) and diastolic blood pressure (DBP)), and inflammation (C reactive protein (CRP)). DATA EXTRACTION AND SYNTHESIS Two independent reviewers extracted data and assessed risk of bias. Data were pooled by random effects models. GRADE (grading of recommendations assessment, development, and evaluation) was used to assess the certainty of evidence. RESULTS 29 trial comparisons were identified in 1617 participants with type 1 and 2 diabetes who were predominantly middle aged, overweight, or obese with moderately controlled type 2 diabetes treated by hyperglycaemia drugs or insulin. Low GI/GL dietary patterns reduced HbA1c in comparison with higher GI/GL control diets (mean difference −0.31% (95% confidence interval −0.42 to −0.19%), P<0.001; substantial heterogeneity, I2=75%, P<0.001). Reductions occurred also in fasting glucose, LDL-C, non-HDL-C, apo B, triglycerides, body weight, BMI, systolic blood pressure (dose-response), and CRP (P<0.05), but not blood insulin, HDL-C, waist circumference, or diastolic blood pressure. A positive dose-response gradient was seen for the difference in GL and HbA1c and for absolute dietary GI and SBP (P<0.05). The certainty of evidence was high for the reduction in HbA1c and moderate for most secondary outcomes, with downgrades due mainly to imprecision. CONCLUSIONS This synthesis suggests that low GI/GL dietary patterns result in small important improvements in established targets of glycaemic control, blood lipids, adiposity, blood pressure, and inflammation beyond concurrent treatment with hyperglycaemia drugs or insulin, predominantly in adults with moderately controlled type 1 and type 2 diabetes. The available evidence provides a good indication of the likely benefit in this population. STUDY REGISTRATION ClinicalTrials.gov NCT04045938.
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Affiliation(s)
- Laura Chiavaroli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
| | - Danielle Lee
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
| | - Amna Ahmed
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
| | - Annette Cheung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
| | - Tauseef A Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
| | - Sonia Blanco
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St Michael’s Hospital, Toronto, ON, Canada
- Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, ON, Canada
- Independent Nutrition Logic, Wymondham, UK
- INQUIS Clinical Research, Toronto, ON, Canada
- Vuk Vrhovac University Clinic for Diabetes, Endocrinology and Metabolic Diseases, Merkur University Hospital, Zagreb, Croatia
- School of Medicine, University of Zagreb, Zagreb, Croatia
- School of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
- Institute for Clinical and Experimental Medicine, Diabetes Centre, Prague, Czech Republic
- Physicians Committee for Responsible Medicine, Washington, DC, USA
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili, Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, MP Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- College of Pharmacy and Nutrition, University of Saskatchewan, SK, Canada
| | - Mejia
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
| | - Arash Mirrahimi
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - David J A Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St Michael’s Hospital, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, ON, Canada
| | | | - Thomas M S Wolever
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- INQUIS Clinical Research, Toronto, ON, Canada
| | - Dario Rahelić
- Vuk Vrhovac University Clinic for Diabetes, Endocrinology and Metabolic Diseases, Merkur University Hospital, Zagreb, Croatia
- School of Medicine, University of Zagreb, Zagreb, Croatia
- School of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
| | - Hana Kahleová
- Institute for Clinical and Experimental Medicine, Diabetes Centre, Prague, Czech Republic
- Physicians Committee for Responsible Medicine, Washington, DC, USA
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili, Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, MP Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, SK, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael’s Hospital, Toronto, ON, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St Michael’s Hospital, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, ON, Canada
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14
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Cheung A, Dufour S, Jones G, Kostoulas P, Stevenson MA, Singanallur NB, Firestone SM. Bayesian latent class analysis when the reference test is imperfect. REV SCI TECH OIE 2021; 40:271-286. [PMID: 34140724 DOI: 10.20506/rst.40.1.3224] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Latent class analysis (LCA) has allowed epidemiologists to overcome the practical constraints faced by traditional diagnostic test evaluation methods, which require both a gold standard diagnostic test and ample numbers of appropriate reference samples. Over the past four decades, LCA methods have expanded to allow epidemiologists to evaluate diagnostic tests and estimate true prevalence using imperfect tests over a variety of complex data structures and scenarios, including during the emergence of novel infectious diseases. The objective of this review is to provide an overview of recent developments in LCA methods, as well as a practical guide to applying Bayesian LCA (BLCA) to the evaluation of diagnostic tests. Before conducting a BLCA, the suitability of BLCA for the pathogen of interest, the availability of appropriate samples, the number of diagnostic tests, and the structure of the data should be carefully considered. While formulating the model, the model's structure and specification of informative priors will affect the likelihood that useful inferences can be drawn. With the growing need for advanced analytical methods to evaluate diagnostic tests for newly emerging diseases, LCA is a promising field of research for both the veterinary and medical disciplines.
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Qi X, Chiavaroli L, Lee D, Ayoub-Charette S, Khan T, Au-Yeung F, Ahmed A, Cheung A, Liu Q, Mejia SB, de Souza R, Wolever T, Leiter L, Kendall C, Jenkins D, Sievenpiper JL. Effect of Important Food Sources of Fructose-Containing Sugars on Biomarkers of Inflammation: A Systematic Review and Meta-Analysis of Controlled Trials. Curr Dev Nutr 2021. [DOI: 10.1093/cdn/nzab053_076] [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] Open
Abstract
Abstract
Objectives
Excess calories as fructose may initiate pathways increasing biomarkers of inflammation. Whether this effect is mediated by the food matrix at different energy levels is unknown. We conducted a systematic review and meta-analysis of controlled feeding trials of the effect of food sources of fructose-containing sugars at different energy control levels on biomarkers of inflammation (NCT02716870).
Methods
We searched MEDLINE, Embase, and the Cochrane Library through January 15 2020 for controlled trials ≥7d. Trial designs were prespecified based on energy control: substitution (energy-matched replacement of sugar in the diet); addition (excess energy from sugar added to diets); subtraction (energy from sugar subtracted from diets); ad libitum (energy from sugar freely replaced in the diet). The primary outcome was C-reactive protein (CRP). Secondary outcomes were tumor necrosis factor-alpha (TNF-α) and interleukin 6 (IL-6). Independent reviewers extracted data and assessed the risk of bias. Certainty of evidence was assessed by GRADE.
Results
We included 48 trials (109 trial comparisons, n = 2108) assessing the effect of 10 food sources (SSBs, sweetened dairy, sweetened dairy alternatives (soy), fruit, 100% fruit juice, dried fruit, sweetened cereal grains/bars, sweets, added nutritive sweetener, and mixed sources) across the 4 levels of energy control. Total fructose-containing sugars had no effect on any outcome in any level of energy control. There was evidence of interaction by food source; in substitution trials, sweetened dairy alternative (soy) decreased CRP. In addition trials, fruit decreased while added nutritive sweetener increased TNF-α. The certainty of evidence was low for the effect of sweetened dairy alternative (soy) on CRP in substitution trials, and generally moderate for all other comparisons.
Conclusions
Food source more than energy control appears to mediate the effect of fructose-containing sugars on inflammation. The evidence provides some indication that sweetened dairy alternatives (soy) and fruit decrease and added nutritive sweeteners increase biomarkers of inflammation. More high-quality randomized trials of different fructose containing food sources are needed to improve our estimates.
Funding Sources
Diabetes Canada.
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Lee D, Chiavaroli L, Ayoub-Charette S, Khan T, Zurbau A, Qi X, Au-Yeung F, Cheung A, Liu Q, Ahmed A, Choo VL, Mejia SB, de Souza R, Wolever T, Leiter L, Kendall C, Jenkins D, Sievenpiper J. Effect of Important Food Sources of Fructose-Containing Sugars on Non-alcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis of Controlled Trials. Curr Dev Nutr 2021. [DOI: 10.1093/cdn/nzab053_045] [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] Open
Abstract
Abstract
Objectives
Fructose as a source of excess calories increases non-alcoholic fatty liver disease (NAFLD) markers. Whether this effect is mediated by the food matrix is unknown. We thus conducted a systematic review and meta-analysis of controlled feeding trials assessing the effect of important food sources of fructose-containing sugars at different energy control levels on NAFLD markers.
Methods
MEDLINE, Embase, and Cochrane Library were searched through January 18, 2021 for controlled trials ≥7-days. Four trial designs were prespecified based on energy control: substitution (energy-matched replacement of sugars by other macronutrients); addition (excess energy from sugars added to diets); subtraction (energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced by other macronutrients). The primary outcome was intrahepatocellular lipid (IHCL). Secondary outcomes were alanine aminotransferase (ALT) and aspartate aminotransferase (AST). Independent reviewers extracted data and assessed risk of bias. Certainty of evidence was assessed by GRADE.
Results
We included 44 trials (65 trial comparisons, n = 1941) assessing the effect of 8 food sources (sugar-sweetened beverages [SSBs]; sweetened dairy alternative [soy]; fruit juice; fruit; dried fruit; baked goods, desserts and sweets; added nutritive sweetener; and mixed sources) across 4 energy levels. Total fructose-containing sugars increased IHCL in addition trials (standardized mean difference = 1.69 [95% CI, 1.00–2.37], P < 0.001), but no effect in substitution, subtraction and ad libitum trials. There was evidence of interaction by food source in addition trials with SSBs increasing IHCL and ALT, and mixed sources increasing AST. The overall certainty of evidence was high for SSBs on IHCL and ALT in addition trials and high to very low for all other comparisons.
Conclusions
Energy control and food source appear to mediate the effect of fructose-containing sugars on NAFLD markers. High certainty evidence suggests that SSBs providing excess energy increase NAFLD markers, while the evidence is less certain that mixed sources share the same effect and other food sources do not. More high-quality randomized trials of different food sources are needed to improve our estimates (ClinicalTrials.gov identifier, NCT02716870).
Funding Sources
Primary funding: Diabetes Canada.
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Chiavaroli L, Cheung A, Ayoub-Charette S, Ahmed A, Lee D, Au-Yeung F, McGlynn N, Ha V, Khan T, Mejia SB, Choo VL, de Souza R, Wolever T, Leiter L, Kendall C, Jenkins D, Sievenpiper J. Important Food Sources of Fructose-Containing Sugars and Adiposity: A Systematic Review and Meta-Analysis of Controlled Feeding Trials. Curr Dev Nutr 2021. [DOI: 10.1093/cdn/nzab053_010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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] Open
Abstract
Abstract
Objectives
Sugar-sweetened beverages (SSBs) have been linked to weight gain. It is unclear if other food sources of fructose-containing sugars behave similarly. We conducted a systematic review and meta-analysis of controlled feeding trials to assess the effect of different food sources of fructose-containing sugars on body weight and markers of adiposity.
Methods
MEDLINE, Embase, and the Cochrane Library were searched through January 2020 for controlled feeding trials ≥2 weeks on the effect of fructose-containing sugars. Trial designs were prespecified by energy control: substitution (energy matched replacement of sugars in diets); addition (excess energy from sugars added to diets); subtraction (energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced in diets). The primary outcome was body weight. Secondary outcomes were body mass index, body fat and waist circumference. Independent reviewers extracted data and assessed risk of bias. Certainty of evidence was assessed using GRADE. (NCT02558920)
Results
We identified 119 controlled trials (368 trial comparisons, N = 5263) assessing the effect of 10 food sources (SSBs, sweetened dairy alternative (soy), fruit juice, fruit drink, fruit, dried fruit, sweetened cereal grains/bars, sweets, added sweeteners and mixed sources). Total fructose-containing sugars increased body weight (mean difference, 0.29 kg [95% confidence interval, 0.05 to 0.53 kg], P = 0.017) and body fat in addition trials with no effect in other analyses or outcomes. There was evidence of interaction by food source in substitution trials with fruit reducing and mixed sources increasing some outcomes and in addition trials with 100% fruit juice reducing and SSBs and mixed sources increasing some outcomes. The overall certainty of evidence was moderate for the decreasing effect of fruit and fruit juice and the increasing effect of SSBs and mixed sources and high-to-very low for other comparisons.
Conclusions
Energy control and food source may mediate the effect of fructose-containing sugars on adiposity. The evidence provides good indication that fruit and 100% fruit juice decrease and SSBs and mixed sources increase markers of adiposity. More high-quality randomized trials of different foods are needed to improve our estimates.
Funding Sources
American Society for Nutrition, Diabetes Canada, CIHR, Mitacs.
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Ayoub-Charette S, Chiavaroli L, Liu Q, Khan T, Zurbau A, Au-Yeung F, Cheung A, Ahmed A, Lee D, Choo VL, Mejia SB, de Souza RJ, Wolever T, Leiter L, Kendall C, Jenkins D, Sievenpiper JL. Important Food Sources of Fructose-Containing Sugars and Fasting Serum Uric Acid Levels: A Systematic Review and Meta-Analysis of Controlled Feeding Trials. Curr Dev Nutr 2021. [DOI: 10.1093/cdn/nzab053_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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Objectives
Fructose as a source of excess calories increases uric acid. Whether this effect is mediated by the food matrix at different levels of energy is unknown. We aim to conduct a systematic review and meta-analysis of controlled feeding trials on the effect of food sources of fructose-containing sugars at different energy levels on uric acid (NCT02716870).
Methods
MEDLINE, Embase and the Cochrane Library were searched through January 27, 2020 for controlled trials ≥7-days assessing the effect of food sources of fructose-containing sugars on uric acid. Trial designs were prespecified based on energy control: substitution (energy matched replacement of sugars by other macronutrients); addition (excess energy from sugars added to diets); subtraction (energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced by other macronutrients) trials. Independent reviewers extracted data and assessed risk of bias. Certainty of evidence was assessed using the GRADE approach.
Results
Eligibility was met by 41 trials (72 trial comparisons, N = 2109) assessing the effect of 9 food sources (sugar-sweetened beverages [SSBs], sweetened dairy, fruit drink [lemonade], 100% fruit juice, fruit, dried fruit [raisins], baked goods desserts and sweets, added nutritive [caloric] sweetener and mixed sources) across the 4 energy levels. Total fructose-containing sugars increased uric acid in substitution trials (mean difference, 0.15 mg/dL [95% confidence interval, 0.03 to 0.27 mg/dL], P = 0.012) with no effect in addition, subtraction or ad libitum trials. There was evidence of interaction by food source with SSBs and baked goods, desserts and sweets increasing uric acid in substitution and SSBs increasing and 100% fruit juice decreasing uric acid in addition trials. The overall certainty of evidence was moderate for the increasing effect of SSBs in substitution and addition trials and low to very low for all other comparisons.
Conclusions
Food source more than energy control mediate the effect of fructose-containing sugars on uric acid. SSBs and baked goods, desserts and sweets appear to increase, and 100% fruit juice appear to decrease uric acid. More high-quality trials of different food sources of fructose-containing sugars are needed to improve our estimates.
Funding Sources
Diabetes Canada.
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Au-Yeung F, Chiavaroli L, Khan T, Zurbau A, Ayoub-Charette S, Cheung A, Ahmed A, Lee D, Liu Q, Choo V, Mejia SB, de Souza R, Wolever T, Leiter L, Kendall C, Jenkins D, Sievenpiper J. Important Food Sources of Fructose-Containing Sugars and Postprandial Lipids: A Systematic Review and Meta-Analysis of Controlled Feeding Trials. Curr Dev Nutr 2021. [DOI: 10.1093/cdn/nzab053_003] [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] Open
Abstract
Abstract
Objectives
Fructose providing excess calories has been shown to increase postprandial triglycerides (TAG). Whether this effect holds for different food sources of fructose-containing sugars is unclear. We conducted a systematic review and meta-analysis of controlled feeding trials on the effect of different food sources of fructose-containing sugars at different levels of energy control on postprandial blood lipids (NCT02716870).
Methods
MEDLINE, EMBASE, and Cochrane Library were searched through June 1st, 2020 for controlled feeding trials ≥7-days assessing the effect of food sources of fructose-containing sugars on postprandial lipids. Trial designs were prespecified based on energy control: substitution (energy matched replacement of sugars by other macronutrients); addition (excess energy from sugars added to diets); subtraction (energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced by other macronutrients) trials. Independent reviewers extracted data and assessed risk of bias. Outcomes were postprandial TAG and apoB48. Certainty of evidence was assessed using GRADE.
Results
We included 29 trials (60 trial comparisons, N = 943) assessing 5 food sources (SSBs, fruit, sweets and desserts, added caloric sweetener and mixed sources) across 4 levels of energy control. Total fructose-containing sugars increased postprandial TAG in substitution (MD: 0.17 mmol/L [95% CI: 0.05, 0.30], P = 0.007), addition (0.38 mmol/L [0.13, 0.62], P = 0.003), and ad libitum (0.17 mmol/L [0.02, 0.31], P = 0.024) trials and increased apoB48 in addition trials (0.12 g/L [0.07, 0.18], P < 0.001).There was evidence of interaction by food source with SSBs increasing postprandial TAG and apoB48 in addition trials and mixed sources increasing postprandial TAG in ad libitum trials. The certainty of the evidence was “moderate” for SSBs increasing TAG in addition trials and mixed sources increasing TAG in ad libitum trials and “low” for all other comparisons.
Conclusions
Food source more than energy control appears to mediate fructose-containing sugars on postprandial lipids. Good evidence suggests that SSBs and mixed sources increase postprandial lipids while evidence is less certain for the lack of effect of other food sources. More high-quality trials of different food sources are needed.
Funding Sources
Primary: Diabetes Canada.
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Liu Q, Chiavaroli L, Ayoub-Charette S, Khan T, Au-Yeung F, Cheung A, Lee D, Ahmed A, Mejia SB, de Souza RJ, Wolever T, Leiter L, Kendall C, Jenkins D, Sievenpiper J. Important Food Sources of Fructose-Containing Sugars and Blood Pressure: A Systematic Review and Meta-Analysis of Controlled Trials. Curr Dev Nutr 2021. [DOI: 10.1093/cdn/nzab053_049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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] Open
Abstract
Abstract
Objectives
Overconsumption of fructose-containing sugars may increase blood pressure. Whether this effect is mediated by the food matrix is unclear. We conducted a systematic review and meta-analysis of controlled feeding trials of the effect of food sources of fructose-containing sugars at different levels of energy control on blood pressure (NCT02716870).
Methods
We searched MEDLINE, Embase and the Cochrane Library through January, 2020 for controlled trials ≥7d. Trial designs were prespecified based on energy control: substitution (energy matched replacement of sugars in the diet); addition (excess energy from sugars added to diets); subtraction (energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced in the diet) trials. Outcomes were systolic blood pressure (SBP) and diastolic blood pressure (DBP). Independent reviewers extracted data and assessed risk of bias. Certainty of evidence was assessed by GRADE.
Results
We included 76 trials (121 trial comparisons, N = 4 302) assessing 9 food sources (sugar-sweetened beverages [SSBs], sweetened dairy alternatives, 100% fruit juice, fruit, dried fruit, sweets, added nutritive sweetener, sweetened cereal grains/bars, and mixed sources) across the 4 levels of energy control. Total fructose-containing sugars decreased SBP (mean difference, −2.76 mmHg [95% CI, −4.36, −1.16], P = 0.001) and DBP (−1.26 mmHg [−2.29, −0.23], P = 0.016) in addition trials and the removal of these sugars decreased SBP (−1.79 mmHg [−3.36, −0.21], P = 0.026) in subtraction trials. There was evidence of interaction by food source with fruit decreasing and sweets and mixed sources increasing SBP and DBP in addition trials and the removal of SSBs decreased SBP in subtraction trials. The certainty of evidence was generally moderate to low for all food source-outcome relationships, except for the decreasing-effect of fruit on DBP in addition trials (high).
Conclusions
Food source and energy control appear to mediate the effect of fructose-containing sugars on blood pressure. The evidence provides a good indication that fruit decreases while excess calories from SSBs, sweets and mixed sources increase blood pressure. More high-quality trials of different food sources are needed to improve our estimates.
Funding Sources
Diabetes Canada.
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Lim F, Guo D, Chen J, Law A, Poon ZY, Cheung A, Tan JC, Kong SL, Loh AHL, Tan MGK, Li S, Lim KH, Thumboo J, Ng CT, Hwang W, Low A, Fan X. POS0417 EXOGENOUS CXCL5 RESTORES ENDOGENOUS BLOOD-TISSUE CHEMOKINE GRADIENT TO IMPROVE SURVIVAL IN MURINE LUPUS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2262] [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
Background:Systemic lupus erythematosus (SLE) is a multi-organ autoimmune disease that is potentially fatal. There is an unmet need to improve current therapies. In patients with SLE, we observed that serum CXCL5 levels were significantly lower than healthy control subjects and negatively correlated with disease activity(1-9).Objectives:The aim of this study is to elucidate the effect of supplemental serum CXCL5 in abrogating the pathological processes of SLE.Methods:Ten doses of exogenous CXCL5 (3µg/kg) was administered to 16-week-old Faslpr mice weekly by intravenous injection. Mice were monitored for 10 weeks. Splenic immune profile was measured by flow cytometry. Circulating cytokine and immunoglobulin profile were detected by Luminex technology. Renal function was evaluated by urinary spot albumin creatinine ratio. In situ renal immune cell infiltration and complement 3 deposition were detected by Haematoxylin and Eosin (H&E) and immunohistochemistry staining. The molecular pathways involved were examined by RNA sequencing.Results:In Faslpr mice, intravenous administration of exogenous CXCL5 significantly improved mouse survival with concomitant reduction of autoantibody secretion, proteinuria, complement 3 deposition, neutrophil infiltration and lupus nephritis classes. Through evaluating the changes of immune profile, cytokine profile and molecular pathways, we found that intravenous CXCL5 reduced inflammation via an orchestral effect of regulating neutrophil trafficking and modulating helper T cell-mediated immune response. Pharmacokinetic and real-time Polymerase Chain Reaction studies further demonstrated that this orchestration was triggered by a cascade reaction - restoring vascular under-expressed CXCL5 by an exogenous stimulation, re-establishing the normal serum levels of endogenous CXCL5 and reverting the CXCL5 chemokine gradient between inflamed tissues and blood circulation.Conclusion:Managing the dysregulation of CXCL5 by exogenous supplement may provide a new option for SLE therapy.References:[1]Dufies M, Grytsai O, Ronco C, et al. New CXCR1/CXCR2 inhibitors represent an effective treatment for kidney or head and neck cancers sensitive or refractory to reference treatments. Theranostics. 2019;9(18):5332-5346. doi:10.7150/thno.34681[2]Yildirim K, Colak E, Aktimur R, et al. Clinical Value of CXCL5 for Determining of Colorectal Cancer. Asian Pac J Cancer Prev. Sep 26 2018;19(9):2481-2484. doi:10.22034/apjcp.2018.19.9.2481[3]Wu K, Yu S, Liu Q, Bai X, Zheng X. The clinical significance of CXCL5 in non-small cell lung cancer. Onco Targets Ther. 2017;10:5561-5573. doi:10.2147/ott.s148772[4]Zhao J, Ou B, Han D, et al. Tumor-derived CXCL5 promotes human colorectal cancer metastasis through activation of the ERK/Elk-1/Snail and AKT/GSK3beta/beta-catenin pathways. Mol Cancer. Mar 29 2017;16(1):70. doi:10.1186/s12943-017-0629-4[5]Han KQ, Han H, He XQ, et al. Chemokine CXCL1 may serve as a potential molecular target for hepatocellular carcinoma. Cancer Med. Oct 2016;5(10):2861-2871. doi:10.1002/cam4.843[6]Pappa CA, Tsirakis G, Kanellou P, et al. Monitoring serum levels ELR+ CXC chemokines and the relationship between microvessel density and angiogenic growth factors in multiple myeloma. Cytokine. Dec 2011;56(3):616-20. doi:10.1016/j.cyto.2011.08.034[7]Zhang L, Li H, Ge C, et al. CXCL3 contributes to CD133(+) CSCs maintenance and forms a positive feedback regulation loop with CD133 in HCC via Erk1/2 phosphorylation. Sci Rep. Jun 3 2016;6:27426. doi:10.1038/srep27426[8]Matsubara J, Honda K, Ono M, et al. Reduced plasma level of CXC chemokine ligand 7 in patients with pancreatic cancer. Cancer Epidemiol Biomarkers Prev. Jan 2011;20(1):160-71. doi:10.1158/1055- 9965.epi-10-0397[9]Ma Y, Ren Y, Dai ZJ, Wu CJ, Ji YH, Xu J. IL-6, IL-8 and TNF-alpha levels correlate with disease stage in breast cancer patients. Adv Clin Exp Med. May-Jun 2017;26(3):421-426. doi:10.17219/acem/62120Disclosure of Interests:None declared
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Chan VW, Chan PK, Fu H, Cheung MH, Cheung A, Yan CH, Chiu KY. Preoperative optimization to prevent periprosthetic joint infection in at-risk patients. J Orthop Surg (Hong Kong) 2021; 28:2309499020947207. [PMID: 32851909 DOI: 10.1177/2309499020947207] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Periprosthetic joint infection (PJI) remains an important complication with devastating consequences after total joint arthroplasties. With the increasing number of arthroplasties worldwide, the number of PJI will increase correspondingly with a significant economic burden to our healthcare system. It is likely impossible to completely eradicate PJI; hence, assessment and optimization of its risk factors to preventing such a disastrous complication will be the key. There are many strategies to prevent PJI in the preoperative, intraoperative, or postoperative phases. The preoperative assessment provides a unique opportunity to screen and diagnose underlying comorbidities and optimize modifiable risk factors before elective surgeries. In this review, we will focus on current literature in preoperative assessment of various modifiable risk factors and share the experience and practical approach in our institution in preoperative optimization to reduce PJI in total joint arthroplasties.
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Affiliation(s)
- Vincent Wk Chan
- Division of Joint Replacement Surgery, Department of Orthopaedics and Traumatology, The University of Hong Kong, 26473Queen Mary Hospital, Hong Kong, SAR, China
| | - P K Chan
- Division of Joint Replacement Surgery, Department of Orthopaedics and Traumatology, The University of Hong Kong, 26473Queen Mary Hospital, Hong Kong, SAR, China
| | - H Fu
- Division of Joint Replacement Surgery, Department of Orthopaedics and Traumatology, The University of Hong Kong, 26473Queen Mary Hospital, Hong Kong, SAR, China
| | - M H Cheung
- Division of Joint Replacement Surgery, Department of Orthopaedics and Traumatology, The University of Hong Kong, 26473Queen Mary Hospital, Hong Kong, SAR, China
| | - A Cheung
- Division of Joint Replacement Surgery, Department of Orthopaedics and Traumatology, The University of Hong Kong, 26473Queen Mary Hospital, Hong Kong, SAR, China
| | - C H Yan
- Division of Joint Replacement Surgery, Department of Orthopaedics and Traumatology, The University of Hong Kong, 26473Queen Mary Hospital, Hong Kong, SAR, China
| | - K Y Chiu
- Division of Joint Replacement Surgery, Department of Orthopaedics and Traumatology, The University of Hong Kong, 26473Queen Mary Hospital, Hong Kong, SAR, China
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Vasileva A, Hanafi N, Matelski J, Wu J, deHaas E, Huang Q, Nadj R, Cheung A, Martinu T, Ghany R, Keshavjee S, Cypel M, Tikkanen J, Ryan C, Chow C. Intra-Subject Variance of Respiratory Oscillometry Reflects Graft Injury and is Associated with Acute Rejection and Chronic Lung Allograft Dysfunction (CLAD) Post Lung Transplant (LTx). J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.1880] [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] Open
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Conradi L, Lubos E, Reichenspurner H, Denti P, Cheung A. Transcatheter Mitral Valve Implantation with TIARA: Transapical Results and Transseptal Design. Thorac Cardiovasc Surg 2021. [DOI: 10.1055/s-0041-1725727] [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: 10/21/2022]
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Reid A, Anastasius M, Ben Zekry S, Turaga M, Webb J, Boone R, Moss R, Cheung A, Ye J, Leipsic J, Blanke P. Geometrical predictors of small virtual neoLVOT size in functional mitral regurgitation. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2642] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
LVOT obstruction is a potentially lethal complication of transcatheter mitral valve replacement (TMVR). An anticipated neoLVOT area of <2cm2 is presumed to imply prohibitive risk. Measurement of the anticipated neoLVOT can be time consuming and requires specialist software to facilitate virtual valve implantation.
Purpose
To determine simple geometrical predictors of prohibitive neoLVOT size.
Methods
165 consecutive, non-calcific FMR patients referred to a transcatheter heart valve program were analysed. Segmentation of the mitral annulus and left heart geometry was performed using CT. Suitability for a default D-shaped TMVR was determined by proprietary annular inclusion criteria. Systolic neoLVOT area was determined via virtual valve implantation of the default TMVR.
Results
Sufficient image data for annular and neoLVOT suitability assessment was available in 152 patients. 105 patients (69%) were suitable for TMVR based on annular measurements. Of these, neoLVOT area was >2cm2 in 88 (84%). Overall, compared to patients not suitable for TMVR (n=64), those suitable had larger ventricles with lower LVEF, and larger annuli (table 1). Using binomial logistic regression involving the variables within table 1, LVESD was the sole statistically significant variable to predict neoLVOT area of <2cm2 (p=0.02). LVESD <48mm had 82% sensitivity and 94% specificity for the presence of prohibitive neoLVOT (figure 1).
Conclusion
Smaller LVESD is a strong predictor of small neoLVOT, and hence LVOT obstruction post default D-shaped TMVR implantation. This simple measure may therefore be used to streamline patient selection for advanced pre-procedural imaging analysis.
Predicting NeoLVOT size <2 cm2
Funding Acknowledgement
Type of funding source: None
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Affiliation(s)
- A Reid
- University of British Columbia, Vancouver, Canada
| | - M Anastasius
- University of British Columbia, Vancouver, Canada
| | - S Ben Zekry
- University of British Columbia, Vancouver, Canada
| | - M Turaga
- University of British Columbia, Vancouver, Canada
| | - J Webb
- University of British Columbia, Vancouver, Canada
| | - R Boone
- University of British Columbia, Vancouver, Canada
| | - R Moss
- University of British Columbia, Vancouver, Canada
| | - A Cheung
- University of British Columbia, Vancouver, Canada
| | - J Ye
- University of British Columbia, Vancouver, Canada
| | - J Leipsic
- University of British Columbia, Vancouver, Canada
| | - P Blanke
- University of British Columbia, Vancouver, Canada
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Cheung A, Audhya I, Szabo S, Harwood M, Gooch K. LIMB GIRDLE MUSCULAR DYSTROPHIES. Neuromuscul Disord 2020. [DOI: 10.1016/j.nmd.2020.08.145] [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]
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Chow J, Tam A, Cheung K, Lee V, Chiang C, Tong M, Wong E, Cheung A, Chan S, Lai J, Ngan R, Ng W, Lee A, Au K. 913MO Second primary cancer after intensity-modulated radiotherapy for nasopharyngeal carcinoma in Hong Kong (2001-2010): A territory-wide study by HKNPCSG. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1028] [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: 10/23/2022] Open
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Chan VWK, Chan PK, Woo YC, Fu H, Cheung A, Cheung MH, Yan CH, Chiu KY. Universal haemoglobin A1c screening reveals high prevalence of dysglycaemia in patients undergoing total knee arthroplasty. Hong Kong Med J 2020; 26:304-310. [PMID: 32764157 DOI: 10.12809/hkmj208459] [Citation(s) in RCA: 2] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Diabetes mellitus is an established modifiable risk factor for periprosthetic joint infection (PJI). Haemoglobin A1c (HbA1c) is a glycaemic marker that correlates with diabetic complications and PJI. As diabetes and prediabetes are frequently asymptomatic, and there is increasing evidence to suggest a correlation between dysglycaemia and osteoarthritis, it is reasonable to provide HbA1c screening before total knee arthroplasty (TKA). The aim of the present study was to determine the prevalence of dysglycaemia in patients who underwent TKA and investigate whether HbA1c screening and optimisation of glycaemic control before TKA affects the incidence of PJI after TKA. METHODS Patients who underwent primary TKA before and after routine HbA1c screening was introduced in our unit were reviewed. Prediabetes and diabetes were defined according to the American Diabetes Association. Patients with HbA1c ≥7.5% were referred to an endocrinologist for optimisation of glycaemic control before TKA. The incidence PJI, defined according to the Musculoskeletal Infection Society criteria, was recorded. RESULTS A total of 729 patients (934 knees) had HbA1c screening before TKA. Of them, 17 (2.3%) and 184 (25.2%) patients had known prediabetes and diabetes, respectively, and 265 (36.4%) and 12 (1.6%) had undiagnosed prediabetes and diabetes, respectively. The incidence of PJI was significantly lower in all patients who received HbA1c screening compared with those who did not (0.2% vs 1.02%, P=0.027). CONCLUSION Screening for HbA1c before TKA provides a cost-effective opportunity to identify undiagnosed dysglycaemia. Patients identified as having dysglycaemia receive modified treatment, significantly reducing the rate of PJI when compared with historical controls.
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Affiliation(s)
- V W K Chan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong
| | - P K Chan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong
| | - Y C Woo
- Department of Medicine, Queen Mary Hospital, Hong Kong
| | - H Fu
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong
| | - A Cheung
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong
| | - M H Cheung
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong
| | - C H Yan
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong
| | - K Y Chiu
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong
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Raman S, Mou B, Hsu F, Valev B, Cheung A, Vallières I, Ma R, McKenzie M, Beaton L, Rackley T, Gondara L, Nichol A. Whole Brain Radiotherapy Versus Stereotactic Radiosurgery in Poor-Prognosis Patients with One to 10 Brain Metastases: A Randomised Feasibility Study. Clin Oncol (R Coll Radiol) 2020; 32:442-451. [DOI: 10.1016/j.clon.2020.02.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 12/31/2019] [Accepted: 01/14/2020] [Indexed: 12/21/2022]
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Cheung A, Lee D, McGlynn N, Ayoub-Charette S, Au-Yeung F, Chiavaroli L, Khan T, Mejia SB, Sievenpiper J. Important Food Sources of Sugars and Body Weight: A Systematic Review and Meta-Analysis of Controlled Feeding Trials. Curr Dev Nutr 2020. [DOI: 10.1093/cdn/nzaa063_018] [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] Open
Abstract
Abstract
Objectives
Sugar-sweetened beverages (SSBs) have been linked to weight gain, and it is unclear if other food sources of fructose-containing sugars behave similarily. We conducted a systematic review and meta-analysis of controlled feeding trials to assess the effect of different food sources of fructose-containing sugars on body weight.
Methods
MEDLINE, EMBASE, and The Cochrane library were searched through January 2019. We included controlled feeding trials of ≥2 weeks investigating the effect of different food sources of sugars. Four levels of energy control were prespecified: substitution (energy-matched comparisons); addition (energy from sugars added to diet); subtraction (energy from sugars subtracted from diet); or ad libitum (energy from sugars freely replaced). The primary outcome was body weight. Two independent reviewers extracted data and assessed risk of bias. Data were pooled using random effects models and expressed as mean differences (MDs) with 95% confidence intervals (CIs). GRADE assessed the certainty of evidence.
Results
We identified 110 controlled trials (N = 5133) assessing the effect of 7 different food sources of fructose-containing sugars (SSBs, fruit, fruit juice, dried fruit; baked goods, sweets, & desserts; mixed sources; added caloric sweeteners). No effect on body weight was observed in substitution trials, whereas there was an increasing effect in addition trials (MD, 0.23 kg [95% CI, 0.06 to 0.40]) and ad libitum trials (1.43 kg [0.78 to 2.16]), and a decreasing effect in subtraction trials (–0.52 kg [–1.02 to −0.02]). There was evidence of interaction by food source with fruit showing weight loss in substitution trials and SSBs showing weight gain in addition trials. The certainty of evidence was moderate for the effects in the addition and subtraction trials and high for the effects in the substitution and ad libitum trials.
Conclusions
Energy control and food source appear to mediate the effect of fructose-containing sugars on body weight. Food sources of fructose-containing sugars adding excess energy to diets (especially sugars-sweetened beverages) appear to lead to weight gain. There is low to moderate likelihood that more research will substantially alter our estimates (ClinicalTrials.gov Identifier, NCT02558920)
Funding Sources
American Society for Nutrition Foundation (commissioned and funded), Diabetes Canada.
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Affiliation(s)
| | - Danielle Lee
- University of Toronto and St. Michael's Hospital
| | - Nema McGlynn
- University of Toronto and St. Michael's Hospital
| | | | - Fei Au-Yeung
- University of Toronto and St. Michael's Hospital
| | | | - Tauseef Khan
- University of Toronto and St. Michael's Hospital
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Fan X, Guo D, Ng CT, Law A, Poon ZY, Cheung A, Lim KH, Thumboo J, Hwang W, Low A. AB0128 CXCL5 DAMPENS INFLAMMATION IN THE PRE-CLINICAL MODEL OF SYSTEMIC LUPUS ERYTHEMATOSUS VIA THE ORCHESTRAL EFFECT OF REGULATING NEUTROPHIL TRAFFICKING AND SUPPRESSING HELPER T CELL-MEDIATED IMMUNE RESPONSE. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.818] [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: 11/03/2022]
Abstract
Background:Patients with systemic lupus erythematosus (SLE) suffer from severe morbidity and mortality1-4, either from the disease itself or from side effects of immunosuppression5. Discovery of novel effective therapies with less toxicity is an urgent need.Objectives:The aim of this study is to elucidate the therapeutic potential and working mechanism of cytokine CXCL5 in lupus mice.Methods:Treatment with CXCL5, bone marrow (BM)-MSCs, standard of care (SOC) with combination of methylprednisolone and cyclophosphamide was given to 16-week-old Faslprmice. Mice were monitored for 10 weeks. Splenic immune cell subsets were measured by flow cytometry. Circulating cytokine and immunoglobulin were detected by Luminex technology. Renal function was evaluated by urinary spot albumin creatinine ratio. In situ renal immune cell infiltration and complement 3 deposition were detected by Haematoxylin and Eosin (H&E) staining and immunohistochemistry.Results:CXCL5 demonstrated consistent and potent immunosuppressive capacity in suppressing SLE with reduced autoantibody secretion, lymphoproliferation and preserved kidney function. With further exploration, we proved that CXCL5 reduced the proliferation of helper T cells (TH1 and TH2) in thein vitrofunctional assay. When we administrated CXCL5 to lupus mice, it promoted the proliferation of regulatory T cells and reduced the proliferation of TH17 cells, macrophages and neutrophils. Multiple proinflammatory cytokines including IL-2, IL-6, IL-12, IL-17A, KC/CXCL1, MIP-1β/CCL4 and TNF-α were also reduced. When combined with SOC, CXCL5 boosted its therapeutic effect and reduced the relevant indices of disease activity. When we correlated the effect of four different treatment groups (CXCL5, BM-MSCs, SOC, and CXCL5 plus SOC) on mice survival and target cell changes, we found that TH17 cells were the key effector cells involved in the pathogenesis of SLE.Conclusion:These findings demonstrated that CXCL5 dampens inflammation in the pre-clinical model of systemic lupus erythematosus via the orchestral effect of regulating neutrophil trafficking and suppressing helper T cell-mediated immune response. Administrating exogenous CXCL5 might be an attractive option to treat patients with lupus.References:[1]Ji S, Guo Q, Han Y, Tan G, Luo Y, Zeng F. Mesenchymal stem cell transplantation inhibits abnormal activation of Akt/GSK3beta signaling pathway in T cells from systemic lupus erythematosus mice.Cell Physiol Biochem.2012;29(5-6):705-712.[2]Peng SL. Altered T and B lymphocyte signaling pathways in lupus.Autoimmun Rev.2009;8(3):179-183.[3]Ferucci ED, Johnston JM, Gaddy JR, et al. Prevalence and incidence of systemic lupus erythematosus in a population-based registry of American Indian and Alaska Native people, 2007-2009.Arthritis Rheumatol.2014;66(9):2494-2502.[4]Jakes RW, Bae SC, Louthrenoo W, Mok CC, Navarra SV, Kwon N. Systematic review of the epidemiology of systemic lupus erythematosus in the Asia-Pacific region: prevalence, incidence, clinical features, and mortality.Arthritis Care Res (Hoboken).2012;64(2):159-168.[5]Sattwika PD, Mustafa R, Paramaiswari A, Herningtyas EH. Stem cells for lupus nephritis: a concise review of current knowledge.Lupus.2018;27(12):1881-1897.Acknowledgments:The work was supported by SMART II Centre Grant (NMRC/CG/M011/2017_SGH) and SingHealth Foundation (SHF/FG638P/2016).Disclosure of Interests:None declared
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Chan PK, Hwang YY, Cheung A, Yan CH, Fu H, Chan T, Fung WC, Cheung MH, Chan VWK, Chiu KY. Blood transfusions in total knee arthroplasty: a retrospective analysis of a multimodal patient blood management programme. Hong Kong Med J 2020; 26:201-207. [PMID: 32371607 DOI: 10.12809/hkmj198289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
PURPOSE Transfusion is associated with increased perioperative morbidity and mortality in patients undergoing total knee arthroplasty (TKA). Patient blood management (PBM) is an evidence-based approach to maintain blood mass via haemoglobin maintenance, haemostasis optimisation, and blood loss minimisation. The aim of the present study was to assess the effectiveness of a multimodal PBM approach in our centre. METHODS This was a single-centre retrospective study of patients who underwent primary TKA in Queen Mary Hospital in Hong Kong in 2013 or 2018, using data from the Clinical Data Analysis and Reporting System and a local joint registry database. Patient demographics, preoperative haemoglobin, length of stay, readmission, mean units of transfusion, postoperative prosthetic joint infection, and mortality data were compared between groups. RESULTS In total, 262 and 215 patients underwent primary TKA in 2013 and 2018, respectively. The mean transfusion rate significantly decreased after PBM implementation (2013: 31.3%; 2018: 1.9%, P<0.001); length of stay after TKA also significantly decreased (2013: 14.49±8.10 days; 2018: 8.77±10.14 days, P<0.001). However, there were no statistically significant differences in readmission, early prosthetic joint infection, or 90-day mortality rates between the two groups. CONCLUSION Our PBM programme effectively reduced the allogeneic blood transfusion rate in patients undergoing TKA in our institution. Thus, PBM should be considered in current TKA protocols to reduce rates of transfusions and related complications.
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Affiliation(s)
- P K Chan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Y Y Hwang
- Department of Medicine, Queen Mary Hospital, Hong Kong
| | - A Cheung
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - C H Yan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - H Fu
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - T Chan
- Department of Anaesthesiology, Queen Mary Hospital, Hong Kong
| | - W C Fung
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - M H Cheung
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - V W K Chan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - K Y Chiu
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
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Mahr C, McGee E, Cheung A, Mokadam N, Strueber M, Slaughter M, Danter M, Levy W, Cheng R, Beckman J, May D, Ismyrloglou E, Tsintzos S, Silvestry S. Cost-Effectiveness of Thoracotomy Approach for the Implantation of a Small Intrapericardial Centrifugal LVAD. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.450] [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: 11/24/2022] Open
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YAN G, Norris K, Nee R, Greene T, Scialla J, Hu N, Yu W, Cheung A. SUN-127 CKD STAGE PROGRESSION AND DEATH FOLLOWING CKD ONSET: RESULTS FROM A U.S. LARGE INCIDENT CKD POPULATION WITH 10 YEARS OF FOLLOW-UP. Kidney Int Rep 2020. [DOI: 10.1016/j.ekir.2020.02.654] [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: 10/24/2022] Open
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Adreak N, Peng D, Zhao Y, Cheung A. MINISTERNOTOMY AORTIC VALVE REPLACEMENT PROVIDES EQUIVALENT SHORT- AND LONG-TERM SURVIVAL RATES IN BC PATIENTS IN COMPARISON WITH THE STANDARD APPROACH. Can J Cardiol 2019. [DOI: 10.1016/j.cjca.2019.07.608] [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: 10/25/2022] Open
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Ng W, Lee M, Fung T, Wong C, Cheung A, Chow J, Au K, Poon D, Lai J, Chiang C, Lee V, Lee A. Analysis of Radiotherapy to Recurrent Nasopharyngeal Carcinoma (NPC) in Hong Kong. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.1659] [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]
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Sinha M, Griffith M, Betts C, Choe G, Sivagnanam S, Cheung A, Tamaki W, Liu E, Sudduth-Klinger J, Vaccaro G, Lopez C, Fong L, Coussens L, Tempero M. Immune modulatory effects of ibrutinib in pancreatic ductal adenocarcinoma. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz155.145] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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YAN G, Norris K, Nee R, Oliver N, Greene T, Yu W, Cheung A. SUN-263 COMPARISON OF MORTALITY AND END-STAGE RENAL DISEASE (ESRD) AMONG RACIAL/ETHNIC GROUPS IN THE U.S. VETERAN INCIDENT CKD POPULATION. Kidney Int Rep 2019. [DOI: 10.1016/j.ekir.2019.05.668] [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] Open
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Gee J, Coleman RE, Cheung KL, Evans A, Holcombe C, Skene A, Rea D, Ahmed S, Jahan A, Horgan K, Rauchhaus P, Littleford R, Finlay P, Cheung A, Cullberg M, de Bruin E, Foxley A, Koulai L, Pass M, Schiavon G, Rugman P, Deb R, Robertson JFR. Abstract P2-12-01: Dose- and exposure-response relationship and biomarker correlation analysis in breast tumors from patients treated with capivasertib, an AKT inhibitor, in the STAKT randomized, placebo controlled pre-surgical study. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p2-12-01] [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: 11/16/2022]
Abstract
Abstract
Background: Capivasertib (AZD5363), an AKT1,2,3 inhibitor, significantly improved progression-free and overall survival when added to paclitaxel in triple negative breast cancer (BC) patients (Schmid et al. ASCO 2018). We have previously reported in STAKT, robust target inhibition at 480mg BD versus placebo, including significant decreases in the primary biomarkers (PBs) - Ki67, pPRAS40 & pGSK3β - in primary BCs (Robertson et al. SABCS 2017). We now report the dose- and exposure-response relationship of capivasertib and the correlation between primary and secondary (pAKT, pS6, nuclear FOXO3a) tumor biomarkers.
Design: STAKT was a two-stage, double blind, randomized, placebo controlled 'window-of-opportunity' trial in newly diagnosed ER+ BC patients. Stage 1 assessed capivasertib at a dose of 480mg BD p.o. versus placebo. Stage 2 assessed capivasertib at two lower doses 360mg and 240mg BD. Tumor biopsies were taken prior to 1st dose and after 4.5 days of dosing. Evaluable patients (who required pre-defined minimum baseline PD values for PBs) included placebo (n=11), capivasertib at 480mg (n=17), 360mg (n=5) and 240mg (n=6). Blood samples for pharmacokinetic (PK) studies were scheduled at pre-dose; 2, 4, optional 6 & 8 hrs post first dose on Day 1; ˜2-4 h post last dose on Day 5 (before biopsy). The % change from baseline for PBs were evaluated against the following exposure variables (placebo=0): i) Dose, ii) Observed Cmax Day 1 (˜2h post-dose), iii) Observed plasma concentration on Day 5, iv) Model-predicted plasma concentration Day 5 at time of biopsy, and v) Model-predicted AUC on Day 5. Spearman correlation coefficient measured the strength and direction of association between biomarkers.
Results:
· Significant mean reductions in % change from baseline were observed for the PBs pGSK3β (-39%; p<0.006), pPRAS40 (-50%; p<0.0001) and Ki67 (-23%; p=0.052) at 480mg versus placebo. At 360mg and 240mg, mean % changes from baseline in pGSK3β were -27% and -9%, respectively; in pPRAS40 -45% and -28%, respectively; and in Ki67 0% and +22%, respectively.
· Dose-response relationships for individual % change from baseline could be described by an Emax model for all PBs. Overall, the correlation to PK exposure (observed or predicted) was similar to the correlation to dose.
· Correlation coefficient analyses between biomarkers at capivasertib 480mg BD identified- i) Positive correlations for pGSK3β with Ki67 (ρ = 0.52, p-value < 0.05) & with pS6 (ρ = 0.54, p-value<0.05); ii) Negative correlations between FOXO3a and Ki67 (ρ = -0.75, p-value<0.001) pGSK3β (ρ = -0.71, p-value<0.001) & also pS6 (ρ = -0.61, p-value<0.001).Correlation coefficients for lower doses are not robust due to small sample size in these groups.
Conclusions
· Capivasertib caused dose- and concentration- dependent effects on biomarkers after only 4.5 days.
· Significant changes in the PBs were demonstrated at 480 mg BD. Biomarker changes was observed at 360mg and 240mg BD, but statistical analysis was limited by the small sample size at lower doses.
· Correlation between a number of tumor biomarkers (relative changes) were identified for capivasertib 480mg BD.
Citation Format: Gee J, Coleman RE, Cheung KL, Evans A, Holcombe C, Skene A, Rea D, Ahmed S, Jahan A, Horgan K, Rauchhaus P, Littleford R, Finlay P, Cheung A, Cullberg M, de Bruin E, Foxley A, Koulai L, Pass M, Schiavon G, Rugman P, Deb R, Robertson JFR. Dose- and exposure-response relationship and biomarker correlation analysis in breast tumors from patients treated with capivasertib, an AKT inhibitor, in the STAKT randomized, placebo controlled pre-surgical study [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P2-12-01.
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Affiliation(s)
- J Gee
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - RE Coleman
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - KL Cheung
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - A Evans
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - C Holcombe
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - A Skene
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - D Rea
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - S Ahmed
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - A Jahan
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - K Horgan
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - P Rauchhaus
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - R Littleford
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - P Finlay
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - A Cheung
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - M Cullberg
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - E de Bruin
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - A Foxley
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - L Koulai
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - M Pass
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - G Schiavon
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - P Rugman
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - R Deb
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
| | - JFR Robertson
- Cardiff University, Cardiff, United Kingdom; University of Sheffield, Sheffield, United Kingdom; Poole Hospital NHS Foundation Trust, Poole, United Kingdom; Royal Liverpool University Hospital, Liverpool, United Kingdom; Royal Bournemouth Hospital, Bournemouth, United Kingdom; University Hospital Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Leicester Royal Infirmary, Leicester, Leicestershire, United Kingdom; Kings Mill Hospital, Mansfield, Nottinghamshire, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, Yorkshire, United Kingdom; University of Dundee, Dundee, United Kingdom; AstraZeneca, Pepparedsleden 1, Sweden; AstraZeneca, Melbourn, Hertfordshire, United Kingdom; Royal Derby Hospital, Derby, Derbyshire, United Kingdom; University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
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40
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Krebs M, Lopez J, El-Khoueiry A, Bang YJ, Postel-Vinay S, Abidah W, Im SA, Khoja L, Standifer N, Jones G, Marco-Casanova P, Frewer P, Berges A, Cheung A, Stephens C, Felicetti B, Dean E, Pierce A, Hollingsworth S. Phase I clinical and translational evaluation of AZD6738 in combination with durvalumab in patients (pts) with lung or head and neck carcinoma. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy279.401] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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41
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Strueber M, Cheung A, Mokadam N, Weiselthaler G, Lee S, Boeve T, Maltais S, Pretorius V, Danter M, Vassiliades T, McGee E. Impact of the Thoracotomy Implant Approach on Average Length of Stay and Rehospitalizations in the HVAD LATERAL Trial. J Heart Lung Transplant 2018. [DOI: 10.1016/j.healun.2018.01.192] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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42
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Cheung A, Danter M, Mokadam N, Mahr C, Kiernan M, Pham D, Boeve T, Najjar S, Vassiliades T, McGee E. Impact of the Thoracotomy Implant Approach on Patient Self-Reported Quality of Life in the HVAD LATERAL Trial. J Heart Lung Transplant 2018. [DOI: 10.1016/j.healun.2018.01.1238] [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: 10/17/2022] Open
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43
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Almeida R, Arif A, Cheung A. A192 PRIMARY SCLEROSING CHOLANGITIS WITH CHOLELITHIASIS IS A DISTINCT PHENOTYPE WITH WORSE SYMPTOMS, DECOMPENSATION-FREE & TRANSPLANT-FREE SURVIVAL. J Can Assoc Gastroenterol 2018. [DOI: 10.1093/jcag/gwy008.193] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- R Almeida
- Gastroenterology, University of Toronto, Toronto, ON, Canada
| | - A Arif
- University of Toronto, Toronto, ON, Canada
| | - A Cheung
- University of Toronto, Toronto, ON, Canada
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44
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Webb J, Catlin B, Chan A, Charania J, Cheung A, Cook R, Della Siega A, Ding L, Latham T, Lauck S, Robinson S, Virani S, Wood D, Ye J, Yu M, Wong D. TRANSCATHETER AORTIC VALVE REPLACEMENT IN BRITISH COLUMBIA. IMPLICATIONS OF VALVE SELECTION ON PACEMAKER RATES, HOSPITAL STAY, AND READMISSION. Can J Cardiol 2017. [DOI: 10.1016/j.cjca.2017.07.037] [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] Open
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45
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Kearns M, Miller S, Kong H, Cheung A, Seidman M, Boyd J. OLIGONUCLEOTIDE-BASED PRECONDITIONING OF DCD CARDIAC DONORS AND ITS IMPACT ON NOVEL BIOMARKERS ASSOCIATED WITH CARDIAC VIABILITY. Can J Cardiol 2017. [DOI: 10.1016/j.cjca.2017.07.023] [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: 11/27/2022] Open
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46
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Quinn P, Pearson C, Cheung A, King J, Chan D, Marchand B, Rudaks D, Quach A, Ferrante A, Gold M. P84: COMBINED IMMUNODEFICIENCY DUE TO DEFICIENCY OF ACTINRELATED PROTEIN COMPLEX 1B (ARPC1B). Intern Med J 2017. [DOI: 10.1111/imj.84_13578] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- P Quinn
- Women’s and Children’s Hospital; Adelaide Australia
- University of Adelaide; Adelaide Australia
| | - C Pearson
- Women’s and Children’s Hospital; Adelaide Australia
| | - A Cheung
- Women’s and Children’s Hospital; Adelaide Australia
| | - J King
- Women’s and Children’s Hospital; Adelaide Australia
- SA Pathology; Adelaide Australia
| | - D Chan
- Women’s and Children’s Hospital; Adelaide Australia
| | - B Marchand
- Women’s and Children’s Hospital; Adelaide Australia
| | - D Rudaks
- Women’s and Children’s Hospital; Adelaide Australia
| | - A Quach
- SA Pathology; Adelaide Australia
| | | | - M Gold
- Women’s and Children’s Hospital; Adelaide Australia
- University of Adelaide; Adelaide Australia
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47
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Gold M, Chan D, Marchand B, Dzeladini L, King J, Cheung A, Quinn P. P80: INTUSSCEPTION: A NOVEL PRESENTATION OF ACTIVATED PHOSPHOINOSITIDE 3-KINASE-Δ (PI3KΔ) SYNDROME (APDS). Intern Med J 2017. [DOI: 10.1111/imj.80_13578] [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: 11/30/2022]
Affiliation(s)
- M Gold
- Women’s and Children’s Hospital; Adelaide Australia
- University of Adelaide; Adelaide Australia
| | - D Chan
- Women’s and Children’s Hospital; Adelaide Australia
| | - B Marchand
- Women’s and Children’s Hospital; Adelaide Australia
| | - L Dzeladini
- Women’s and Children’s Hospital; Adelaide Australia
| | - J King
- Women’s and Children’s Hospital; Adelaide Australia
| | - A Cheung
- Women’s and Children’s Hospital; Adelaide Australia
| | - P Quinn
- Women’s and Children’s Hospital; Adelaide Australia
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48
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Giangregorio L, Ziebart C, McArthur C, Cheung A, Laprade J, Jain R, Lee L, Papaioannou A. TRANSLATING RESEARCH INTO PRACTICE USING PATIENT-CENTRED VIDEOS: DEVELOPMENT AND ANALYSIS OF UPTAKE. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.351] [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: 11/12/2022] Open
Affiliation(s)
- L. Giangregorio
- Kinesiology, University of Waterloo, Waterloo, Ontario, Canada,
- University Health Network, Toronto, Ontario, Canada,
- Geriatric Education and Research in Aging Sciences Centre, Hamilton, Ontario, Canada,
| | - C. Ziebart
- Kinesiology, University of Waterloo, Waterloo, Ontario, Canada,
| | - C. McArthur
- Kinesiology, University of Waterloo, Waterloo, Ontario, Canada,
| | - A. Cheung
- University Health Network, Toronto, Ontario, Canada,
- University of Toronto, Toronto, Ontario, Canada,
| | - J. Laprade
- University of Toronto, Toronto, Ontario, Canada,
| | - R. Jain
- Osteoporosis Canada, Toronto, Ontario, Canada,
| | - L. Lee
- McMaster University, Hamilton, Ontario, Canada
| | - A. Papaioannou
- McMaster University, Hamilton, Ontario, Canada
- Geriatric Education and Research in Aging Sciences Centre, Hamilton, Ontario, Canada,
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49
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Weitsman G, Mitchell NJ, Evans R, Cheung A, Kalber TL, Bofinger R, Fruhwirth GO, Keppler M, Wright ZVF, Barber PR, Gordon P, de Koning T, Wulaningsih W, Sander K, Vojnovic B, Ameer-Beg S, Lythgoe M, Arnold JN, Årstad E, Festy F, Hailes HC, Tabor AB, Ng T. Detecting intratumoral heterogeneity of EGFR activity by liposome-based in vivo transfection of a fluorescent biosensor. Oncogene 2017; 36:3618-3628. [PMID: 28166195 PMCID: PMC5421598 DOI: 10.1038/onc.2016.522] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [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] [Received: 06/13/2016] [Revised: 11/12/2016] [Accepted: 12/21/2016] [Indexed: 12/20/2022]
Abstract
Despite decades of research in the epidermal growth factor receptor (EGFR) signalling field, and many targeted anti-cancer drugs that have been tested clinically, the success rate for these agents in the clinic is low, particularly in terms of the improvement of overall survival. Intratumoral heterogeneity is proposed as a major mechanism underlying treatment failure of these molecule-targeted agents. Here we highlight the application of fluorescence lifetime microscopy (FLIM)-based biosensing to demonstrate intratumoral heterogeneity of EGFR activity. For sensing EGFR activity in cells, we used a genetically encoded CrkII-based biosensor which undergoes conformational changes upon tyrosine-221 phosphorylation by EGFR. We transfected this biosensor into EGFR-positive tumour cells using targeted lipopolyplexes bearing EGFR-binding peptides at their surfaces. In a murine model of basal-like breast cancer, we demonstrated a significant degree of intratumoral heterogeneity in EGFR activity, as well as the pharmacodynamic effect of a radionuclide-labeled EGFR inhibitor in situ. Furthermore, a significant correlation between high EGFR activity in tumour cells and macrophage-tumour cell proximity was found to in part account for the intratumoral heterogeneity in EGFR activity observed. The same effect of macrophage infiltrate on EGFR activation was also seen in a colorectal cancer xenograft. In contrast, a non-small cell lung cancer xenograft expressing a constitutively active EGFR conformational mutant exhibited macrophage proximity-independent EGFR activity. Our study validates the use of this methodology to monitor therapeutic response in terms of EGFR activity. In addition, we found iNOS gene induction in macrophages that are cultured in tumour cell-conditioned media as well as an iNOS activity-dependent increase in EGFR activity in tumour cells. These findings point towards an immune microenvironment-mediated regulation that gives rise to the observed intratumoral heterogeneity of EGFR signalling activity in tumour cells in vivo.
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Affiliation(s)
- G Weitsman
- Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, Kings College London, Guy’s Medical School Campus, London, UK
| | - N J Mitchell
- Department of Chemistry, University College London, London, UK
| | - R Evans
- Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, Kings College London, Guy’s Medical School Campus, London, UK
| | - A Cheung
- Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, Kings College London, Guy’s Medical School Campus, London, UK
- Breast Cancer Now Research Unit, King’s College London, London, UK
| | - T L Kalber
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, UK
| | - R Bofinger
- Department of Chemistry, University College London, London, UK
| | - G O Fruhwirth
- Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, Kings College London, Guy’s Medical School Campus, London, UK
| | - M Keppler
- Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, Kings College London, Guy’s Medical School Campus, London, UK
| | - Z V F Wright
- Department of Chemistry, University College London, London, UK
| | - P R Barber
- Gray Laboratories, Department of Oncology, Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Oxford, UK
| | - P Gordon
- Breast Cancer Now Research Unit, King’s College London, London, UK
| | - T de Koning
- Division of Cancer Studies, Kings College London, Guy’s Medical School Campus, London, UK
| | - W Wulaningsih
- Cancer Epidemiology Group, Division of Cancer Studies, King’s College London, London, UK
| | - K Sander
- Institute of Nuclear Medicine, University College London, London, UK
| | - B Vojnovic
- Gray Laboratories, Department of Oncology, Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Oxford, UK
| | - S Ameer-Beg
- Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, Kings College London, Guy’s Medical School Campus, London, UK
| | - M Lythgoe
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, UK
| | - J N Arnold
- Division of Cancer Studies, Kings College London, Guy’s Medical School Campus, London, UK
| | - E Årstad
- Institute of Nuclear Medicine, University College London, London, UK
| | - F Festy
- King’s College London Dental Institute, Tissue Engineering and Biophotonics, Guy’s Hospital Campus, London, UK
| | - H C Hailes
- Department of Chemistry, University College London, London, UK
| | - A B Tabor
- Department of Chemistry, University College London, London, UK
| | - T Ng
- Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, Kings College London, Guy’s Medical School Campus, London, UK
- Breast Cancer Now Research Unit, King’s College London, London, UK
- UCL Cancer Institute, Paul O’Gorman Building, University College London, London, UK
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50
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Fan X, Guo D, Yap C, Cheung A, Poon Z, Bari S, Li S, Hwang W. Application of a mesenchymal stromal cell-derived two-factor cocktail in graft versus host disease therapy. Cytotherapy 2017. [DOI: 10.1016/j.jcyt.2017.02.080] [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: 11/28/2022]
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