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Vora J, Cherney D, Kosiborod MN, Spaak J, Kanumilli N, Khunti K, Lam CSP, Bachmann M, Fenici P. Inter-relationships between cardiovascular, renal and metabolic diseases: Underlying evidence and implications for integrated interdisciplinary care and management. Diabetes Obes Metab 2024; 26:1567-1581. [PMID: 38328853 DOI: 10.1111/dom.15485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 02/09/2024]
Abstract
Cardiovascular, renal and metabolic (CaReMe) diseases are individually among the leading global causes of death, and each is associated with substantial morbidity and mortality. However, as these conditions commonly coexist in the same patient, the individual risk of mortality and morbidity is further compounded, leading to a considerable healthcare burden. A number of pathophysiological pathways are common to diseases of the CaReMe spectrum, including neurohormonal dysfunction, visceral adiposity and insulin resistance, oxidative stress and systemic inflammation. Because of the shared pathology and common co-occurrence of the CaReMe diseases, the value of managing these conditions holistically is increasingly being realized. A number of pharmacological and non-pharmacological approaches have been shown to offer simultaneous metabolic, cardioprotective and renoprotective benefits, leading to improved patient outcomes across the CaReMe spectrum. In addition, increasing value is being placed on interdisciplinary team-based and coordinated care models built on greater integration between specialties to increase the rate of early diagnosis and adherence to practice guidelines, and improve clinical outcomes. This interdisciplinary approach also facilitates integration between primary and specialty care, improving the patient experience, optimizing resources, and leading to efficiencies and cost savings. As the burden of CaReMe diseases continues to increase, implementation of innovative and integrated care delivery models will be essential to achieve effective and efficient chronic disease management and to ensure that patients benefit from the best care available across all three disciplines.
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Affiliation(s)
- Jiten Vora
- Department of Endocrinology, Royal Liverpool University Hospital, Liverpool, UK
| | - David Cherney
- Toronto General Hospital Research Institute, Department of Medicine, Division of Nephrology University of Toronto, Toronto, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
- Banting and Best Diabetes Centre, Toronto, Ontario, Canada
- Department of Medicine, UHN, Toronto, Ontario, Canada
| | - Mikhail N Kosiborod
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA
| | - Jonas Spaak
- HND Centrum, Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
| | | | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Carolyn S P Lam
- National Heart Center Singapore and Duke-National University of Singapore, Singapore, Singapore
| | | | - Peter Fenici
- School of Medicine and Surgery, Catholic University, Rome, Italy
- Biomagnetism and Clinical Physiology International Center (BACPIC), Rome, Italy
- Medical Affairs, AstraZeneca Lab, Milan, Italy
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Kunutsor SK, Zaccardi F, Balasubramanian VG, Gillies CL, Aroda VR, Seidu S, Davies MJ, Khunti K. Glycaemic control and macrovascular and microvascular outcomes in type 2 diabetes: Systematic review and meta-analysis of cardiovascular outcome trials of novel glucose-lowering agents. Diabetes Obes Metab 2024; 26:1837-1849. [PMID: 38379094 DOI: 10.1111/dom.15500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/31/2024] [Accepted: 01/31/2024] [Indexed: 02/22/2024]
Abstract
AIM Using a systematic review and meta-analysis of placebo-controlled cardiovascular outcome trials (CVOTs) of newer glucose-lowering agents [sodium-glucose cotransporter-2 inhibitors (SGLT-2is), glucagon-like peptide-1 receptor agonists (GLP-1RAs), and dipeptidyl peptidase-4 inhibitors (DPP-4is)] in type 2 diabetes (T2D), we aimed to determine the macrovascular and microvascular outcomes of these agents and clarify the relationships between glycated haemoglobin (HbA1c) reduction and risk of these outcomes. MATERIALS AND METHODS Randomized controlled trials were identified from MEDLINE, Embase and the Cochrane Library until September 2023. Study-specific hazard ratios with 95% confidence intervals (CIs) were pooled, and meta-regression was used to assess the relationships between outcomes and between trial arm HbA1c reductions. RESULTS Twenty unique CVOTs (six SGLT-2is, nine GLP-1RAs, five DPP-4is), based on 169 513 participants with T2D, were eligible. Comparing SGLT-2is, GLP-1RAs and DPP-4is with placebo, the hazard ratios (95% CIs) for 3-point major adverse cardiovascular events were 0.88 (0.82-0.94), 0.85 (0.79-0.92) and 1.00 (0.94-1.06), respectively. SGLT-2is and GLP-1RAs consistently reduced the risk of several macrovascular and microvascular complications, particularly kidney events. DPP-4is showed no macrovascular benefits. There was potential evidence of an inverse linear relationship between HbA1c reduction and 3-point major adverse cardiovascular event risk (estimated risk per 1% reduction in HbA1c: 0.84, 95% CI 0.67-1.06; p = .14; R2 = 14.2%), which was driven by the component of non-fatal stroke (R2 = 100.0%; p = .094). There were non-significant inverse linear relationships between HbA1c reduction and the risk of several vascular outcomes. CONCLUSIONS SGLT-2is and GLP-1RAs showed consistent risk reductions in macrovascular and microvascular outcomes. The vascular benefits of SGLT-2is and GLP-1RAs in patients with T2D extend beyond mere glycaemic control.
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Affiliation(s)
- Setor K Kunutsor
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Victoria G Balasubramanian
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- College of Life Sciences, University of Leicester, Leicester, UK
| | - Clare L Gillies
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Vanita R Aroda
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Samuel Seidu
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Melanie J Davies
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
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van der Feltz-Cornelis C, Turk F, Sweetman J, Khunti K, Gabbay M, Shepherd J, Montgomery H, Strain WD, Lip GYH, Wootton D, Watkins CL, Cuthbertson DJ, Williams N, Banerjee A. Prevalence of mental health conditions and brain fog in people with long COVID: A systematic review and meta-analysis. Gen Hosp Psychiatry 2024; 88:10-22. [PMID: 38447388 DOI: 10.1016/j.genhosppsych.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/08/2024]
Abstract
OBJECTIVE Long COVID can include impaired cognition ('brain fog'; a term encompassing multiple symptoms) and mental health conditions. We performed a systematic review and meta-analysis to estimate their prevalence and to explore relevant factors associated with the incidence of impaired cognition and mental health conditions. METHODS Searches were conducted in Medline and PsycINFO to cover the start of the pandemic until August 2023. Included studies reported prevalence of mental health conditions and brain fog in adults with long COVID after clinically-diagnosed or PCR-confirmed SARS-CoV-2 infection. FINDINGS 17 studies were included, reporting 41,249 long COVID patients. Across all timepoints (3-24 months), the combined prevalence of mental health conditions and brain fog was 20·4% (95% CI 11·1%-34·4%), being lower among those previously hospitalised than in community-managed patients(19·5 vs 29·7% respectively; p = 0·047). The odds of mental health conditions and brain fog increased over time and when validated instruments were used. Odds of brain fog significantly decreased with increasing vaccination rates (p = ·000). CONCLUSIONS Given the increasing prevalence of mental health conditions and brain fog over time, preventive interventions and treatments are needed. Research is needed to explore underlying mechanisms that could inform further research in development of effective treatments. The reduced risk of brain fog associated with vaccination emphasizes the need for ongoing vaccination programs.
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Affiliation(s)
- Christina van der Feltz-Cornelis
- Department of Health Sciences, University of York, York, United Kingdom; Hull York Medical School, (HYMS), University of York, York, United Kingdom; Institute of Health Informatics, University College London, London, United Kingdom.
| | - Fidan Turk
- Department of Health Sciences, University of York, York, United Kingdom
| | - Jennifer Sweetman
- Department of Health Sciences, University of York, York, United Kingdom
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Mark Gabbay
- Department of Primary Care and Mental Health University of Liverpool, Liverpool, United Kingdom
| | - Jessie Shepherd
- Department of Health Sciences, University of York, York, United Kingdom
| | - Hugh Montgomery
- Department of Medicine, University College London, London, United Kingdom
| | - W David Strain
- Diabetes and Vascular Medicine Research Centre, Institute of Clinical and Biomedical Science and College of Medicine and Health, University of Exeter, Exeter, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom; Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Dan Wootton
- Institute of Infection Veterinary and Ecological Sciences and NIHR HPRU in Emerging and Zoonotic Infections, University of Liverpool, Liverpool, United Kingdom; Liverpool University Hospitals NHS Foundation Trust, Liverpool, United Kingdom
| | - Caroline Leigh Watkins
- Lancashire Clinical Trials Unit, University of Central Lancashire, Preston, United Kingdom; School of Nursing and Midwifery, University of Central Lancashire, Preston, United Kingdom
| | - Daniel J Cuthbertson
- Institute of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Nefyn Williams
- Department of Primary Care and Mental Health University of Liverpool, Liverpool, United Kingdom
| | - Amitava Banerjee
- Institute of Health Informatics, University College London, London, United Kingdom; Department of Cardiology, University College London Hospitals NHS Trust, London, United Kingdom; Department of Cardiology, Barts Health NHS Trust, London, United Kingdom
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Rizzi A, Kloecker DE, Pitocco D, Khunti K, Davies MJ, Zaccardi F. Translating trial results into interpretable risk estimates: Systematic analysis of cardiorenal outcome trials of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors. Nutr Metab Cardiovasc Dis 2024; 34:1129-1133. [PMID: 38336546 DOI: 10.1016/j.numecd.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 12/13/2023] [Accepted: 12/15/2023] [Indexed: 02/12/2024]
Abstract
BACKGROUND AND AIMS In a randomised controlled trial (RCT), the between-arm difference in the average probability of an event per unit of time (i.e., yearly incidence risk difference, YIRD) is an easy-to-interpret treatment effect metric. We aimed to quantify the YIRD in cardiorenal RCTs of GLP-1RAs or SGLT-2is. METHODS AND RESULTS We digitally searched for RCTs published up to March 1st, 2023, including subjects with type 2 diabetes randomised to GLP-1RAs or SGLT-2is and investigating cardiorenal outcomes or death. We extracted information from Kaplan-Meier (KM) plots to obtain time-to-event individual data and estimate within-arm yearly incidence risk and YIRD. Data from 19 RCTs (28 kM plots) were analysed: comparing treatment to placebo, in GLP-1RA RCTs the YIRD ranged from 0.2 % (95 % CI: -0.7 %, 1.1 %) to -1.9 % (-3.1, -0.7), for primary outcome; and from -0.2 % (-0.5, 0.2) to -0.4 % (-0.7 %, -0.0 %), for mortality. With the exception of SOLOIST-WHF (YIRD 11.9 % for primary outcome), corresponding estimates in SGLT-2is RCTs were: from -0.1 % (-0.4, 0.1) to -5.0 % (-7.7, -2.6), for primary outcome; and from -0.1 % (-0.2, 0.1) to -1.9 % (-4.4 %, 0.6 %), for mortality. CONCLUSION The YIRD metric complements other relative treatment effect estimates and helps quantify the absolute benefit of GLP-1RAs and SGLT-2is.
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Affiliation(s)
- Alessandro Rizzi
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK; Diabetes Care Unit, Catholic University, Fondazione Policlinico Agostino Gemelli, Rome, Italy.
| | - David E Kloecker
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK
| | - Dario Pitocco
- Diabetes Care Unit, Catholic University, Fondazione Policlinico Agostino Gemelli, Rome, Italy
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK; NIHR Collaboration for Leadership in Applied Health Research and Care-East Midlands, Leicester General Hospital, Gwendolen Road, Leicester LE5 4PW, UK
| | - Melanie J Davies
- NIHR Collaboration for Leadership in Applied Health Research and Care-East Midlands, Leicester General Hospital, Gwendolen Road, Leicester LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Gwendolen Road, Leicester LE5 4PW, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK; NIHR Collaboration for Leadership in Applied Health Research and Care-East Midlands, Leicester General Hospital, Gwendolen Road, Leicester LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Gwendolen Road, Leicester LE5 4PW, UK
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Thomas S, Littleboy K, Foubert J, Nafilyan V, Bannister N, Routen A, Morriss R, Khunti K, Armstrong N, Gray LJ, Gordon AL. Impact of the COVID-19 pandemic on hospital episodes for falls and fractures associated with new-onset disability and frailty in England: a national cohort study. Age Ageing 2024; 53:afae071. [PMID: 38582747 PMCID: PMC10998734 DOI: 10.1093/ageing/afae071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND Older people with frailty are at risk of harm from immobility or isolation, yet data about how COVID-19 lockdowns affected them are limited. Falls and fractures are easily measurable adverse outcomes correlated with frailty. We investigated whether English hospital admission rates for falls and fractures varied from the expected trajectory during the COVID-19 pandemic, and how these varied by frailty status. METHODS NHS England Hospital Episode Statistics Admitted Patient Care data were analysed for observed versus predicted outcome rates for 24 January 2020 to 31 December 2021. An auto-regressive integrated moving average time-series model was trained using falls and fracture incidence data from 2013 to 2018 and validated using data from 2019. Models included national and age-, sex- and region-stratified forecasts. Outcome measures were hospital admissions for falls, fractures, and falls and fractures combined. Frailty was defined using the Hospital Frailty Risk Score. RESULTS 144,148,915 pre-pandemic hospital admissions were compared with 42,267,318 admissions after pandemic onset. For the whole population, falls and fracture rates were below predicted for the first period of national lockdown, followed by a rapid return to rates close to predicted. Thereafter, rates followed expected trends. For people living with frailty, however, falls and fractures increased above expected rates during periods of national lockdown and remained elevated throughout the study period. Effects of frailty were independent of age. CONCLUSIONS People living with frailty experienced increased fall and fracture rates above expected during and following periods of national lockdown. These remained persistently elevated throughout the study period.
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Affiliation(s)
- Seth Thomas
- Data and Analysis for Social Care and Health, Health Analysis and Pandemic Insights, Office for National Statistics, Newport, UK
| | - Kathryn Littleboy
- Data and Analysis for Social Care and Health, Health Analysis and Pandemic Insights, Office for National Statistics, Newport, UK
| | - Josephine Foubert
- Data and Analysis for Social Care and Health, Health Analysis and Pandemic Insights, Office for National Statistics, Newport, UK
| | - Vahe Nafilyan
- Data and Analysis for Social Care and Health, Health Analysis and Pandemic Insights, Office for National Statistics, Newport, UK
| | - Neil Bannister
- Data and Analysis for Social Care and Health, Health Analysis and Pandemic Insights, Office for National Statistics, Newport, UK
| | - Ash Routen
- NIHR Applied Research Collaboration East Midlands, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Richard Morriss
- NIHR Applied Research Collaboration East Midlands, Leicester, UK
- Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Kamlesh Khunti
- NIHR Applied Research Collaboration East Midlands, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Natalie Armstrong
- NIHR Applied Research Collaboration East Midlands, Leicester, UK
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Laura J Gray
- NIHR Applied Research Collaboration East Midlands, Leicester, UK
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Adam L Gordon
- NIHR Applied Research Collaboration East Midlands, Leicester, UK
- Academic Unit of Injury, Recovery and Inflammation Sciences (IRIS), School of Medicine, University of Nottingham, Nottingham, UK
- Department of Medicine for the Elderly, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
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Hodgson A, Gillies CL, Highton P, Haddon L, Gharibzadeh S, Zaccardi F, Khunti K. Risk of lower extremity amputation in patients with type 2 diabetes mellitus and peripheral arterial disease receiving sodium-glucose cotransporter-2 inhibitors versus other medications: A systematic review and meta-analysis of observational cohort studies. Diabetes Obes Metab 2024. [PMID: 38558251 DOI: 10.1111/dom.15571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 03/08/2024] [Accepted: 03/08/2024] [Indexed: 04/04/2024]
Affiliation(s)
- Anna Hodgson
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Clare L Gillies
- Leicester Real World Evidence Unit, Leicester General Hospital, University of Leicester, Leicester, UK
| | - Patrick Highton
- Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Louise Haddon
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Safoora Gharibzadeh
- Leicester Real World Evidence Unit, Leicester General Hospital, University of Leicester, Leicester, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Leicester General Hospital, University of Leicester, Leicester, UK
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Leicester General Hospital, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester, UK
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7
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Shivam V, Gillies CL, Goff LM, Zaccardi F, Khunti K. Taste perception genomics in gestational diabetes mellitus: A systematic review. Diabetes Obes Metab 2024; 26:1544-1547. [PMID: 38192264 DOI: 10.1111/dom.15449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 01/10/2024]
Affiliation(s)
- Vishnu Shivam
- Research and Development, Vedanadhi, Salem, India
- Intern, Coimbatore Medical College and Hospital, Coimbatore, India
| | - Clare L Gillies
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Louise M Goff
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | | | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
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O'Mahoney L, Highton P, Abdala R, Dallosso H, Gillies CL, Ragha S, Munday F, Robinson J, Marshall A, Sheppard JP, Khunti K, Seidu S. Deintensification of potentially inappropriate medications amongst older frail people with type 2 diabetes: Protocol for a cluster randomised controlled trial (D-MED study). Prim Care Diabetes 2024; 18:132-137. [PMID: 38220558 DOI: 10.1016/j.pcd.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/14/2023] [Accepted: 12/17/2023] [Indexed: 01/16/2024]
Abstract
AIMS Amongst elderly people with type 2 diabetes (T2D) over prescribing can result in emergency ambulance call-outs, falls and fractures and increased mortality, particularly in frail patients. Current clinical guidelines, however, remain focused on medication intensification rather than deintensification where appropriate. This study aims to evaluate the effectiveness of an electronic decision-support system and training for the deintensification of potentially inappropriate medications amongst older frail people with T2D, when compared to 'usual' care at 12-months. METHODS This study is an open-label, multi-site, two-armed pragmatic cluster-randomised trial. GP practices randomised to the 'enhanced care' group have an electronic decision support system installed and receive training on the tool and de-intensification of diabetes medications. The system flags eligible patients for possible deintensification of diabetes medications, linking the health care professional to a clinical algorithm. The primary outcome will be the number of patients at 12-months who have had potentially inappropriate diabetes medications de-intensified. RESULTS Study recruitment commenced in June 2022. Data collection commenced in January 2023. Baseline data have been extracted from 40 practices (3145 patients). CONCLUSIONS Digital technology, involving computer decision systems, may have the potential to reduce inappropriate medications and aid the process of de-intensification. TRIAL REGISTRATION International Standard Randomised Controlled Trial Number: ISRCTN53221378. Available at: https://www.isrctn.com/ISRCTN53221378.
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Affiliation(s)
- Lauren O'Mahoney
- Diabetes Research Centre, University of Leicester, Leicester, UK; National Institute for Health Research Applied Research Collaboration East Midlands, Leicester, UK
| | - Patrick Highton
- Diabetes Research Centre, University of Leicester, Leicester, UK; National Institute for Health Research Applied Research Collaboration East Midlands, Leicester, UK.
| | - Ruksar Abdala
- Diabetes Research Centre, University of Leicester, Leicester, UK; National Institute for Health Research Applied Research Collaboration East Midlands, Leicester, UK
| | - Helen Dallosso
- University Hospitals of Leicester NHS Trust, Leicester Diabetes Centre, Leicester, UK
| | - Clare L Gillies
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Seema Ragha
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Fiona Munday
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - John Robinson
- Primary Care Information Service, University of Nottingham, Nottingham, UK
| | - Andrew Marshall
- Primary Care Information Service, University of Nottingham, Nottingham, UK
| | - James P Sheppard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK; National Institute for Health Research Applied Research Collaboration East Midlands, Leicester, UK
| | - Samuel Seidu
- Diabetes Research Centre, University of Leicester, Leicester, UK
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ElSayed NA, Aleppo G, Bannuru RR, Beverly EA, Bruemmer D, Collins BS, Darville A, Ekhlaspour L, Hassanein M, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. Erratum. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2024. Diabetes Care 2024;47(Suppl. 1):S77-S110. Diabetes Care 2024; 47:761-762. [PMID: 38315188 DOI: 10.2337/dc24-er04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
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10
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Liu X, Littlejohns TJ, Bešević J, Bragg F, Clifton L, Collister JA, Trichia E, Gray LJ, Khunti K, Hunter DJ. Incorporating polygenic risk into the Leicester Risk Assessment score for 10-year risk prediction of type 2 diabetes. Diabetes Metab Syndr 2024; 18:102996. [PMID: 38608567 DOI: 10.1016/j.dsx.2024.102996] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 02/22/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024]
Abstract
AIMS We evaluated whether incorporating information on ethnic background and polygenic risk enhanced the Leicester Risk Assessment (LRA) score for predicting 10-year risk of type 2 diabetes. METHODS The sample included 202,529 UK Biobank participants aged 40-69 years. We computed the LRA score, and developed two new risk scores using training data (80% sample): LRArev, which incorporated additional information on ethnic background, and LRAprs, which incorporated polygenic risk for type 2 diabetes. We assessed discriminative and reclassification performance in a test set (20% sample). Type 2 diabetes was ascertained using primary care, hospital inpatient and death registry records. RESULTS Over 10 years, 7,476 participants developed type 2 diabetes. The Harrell's C indexes were 0.796 (95% Confidence Interval [CI] 0.785, 0.806), 0.802 (95% CI 0.792, 0.813), and 0.829 (95% CI 0.820, 0.839) for the LRA, LRArev and LRAprs scores, respectively. The LRAprs score significantly improved the overall reclassification compared to the LRA (net reclassification index [NRI] = 0.033, 95% CI 0.015, 0.049) and LRArev (NRI = 0.040, 95% CI 0.024, 0.055) scores. CONCLUSIONS Polygenic risk moderately improved the performance of the existing LRA score for 10-year risk prediction of type 2 diabetes.
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Affiliation(s)
- Xiaonan Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Jelena Bešević
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Fiona Bragg
- Nuffield Department of Population Health, University of Oxford, Oxford, UK; MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lei Clifton
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Eirini Trichia
- Nuffield Department of Population Health, University of Oxford, Oxford, UK; MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Laura J Gray
- Department of Population Health Sciences, University of Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - David J Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
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11
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Ali MR, Lam CSP, Strömberg A, Hand SPP, Booth S, Zaccardi F, Squire I, McCann GP, Khunti K, Lawson CA. Symptoms and signs in patients with heart failure: association with 3-month hospitalisation and mortality. Heart 2024; 110:578-585. [PMID: 38040451 DOI: 10.1136/heartjnl-2023-323295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/01/2023] [Indexed: 12/03/2023] Open
Abstract
OBJECTIVES To determine the association between symptoms and signs reported in primary care consultations following a new diagnosis of heart failure (HF), and 3-month hospitalisation and mortality. DESIGN Nested case-control study with density-based sampling. SETTING Clinical Practice Research Datalink, linked to hospitalisation and mortality (1998-2020). PARTICIPANTS Database cohort of 86 882 patients with a new HF diagnosis. In two separate analyses for (1) first hospitalisation and (2) death, we compared the 3-month history of symptoms and signs in cases (patients with HF with the event), with their respective controls (patients with HF without the respective event, matched on diagnosis date (±1 month) and follow-up time). Controls could be included more than once and later become a case. MAIN OUTCOME MEASURES All-cause, HF and non-cardiovascular disease (non-CVD) hospitalisation and mortality. RESULTS During a median follow-up of 3.22 years (IQR: 0.59-8.18), 56 677 (65%) experienced first hospitalisation and 48 146 (55%) died. These cases were matched to 356 714 and 316 810 HF controls, respectively. For HF hospitalisation, the strongest adjusted associations were for symptoms and signs of fluid overload: pulmonary oedema (adjusted OR 3.08; 95% CI 2.52, 3.64), shortness of breath (2.94; 2.77, 3.11) and peripheral oedema (2.16; 2.00, 2.32). Generic symptoms also showed significant associations: depression (1.50; 1.18, 1.82), anxiety (1.35; 1.06, 1.64) and pain (1.19; 1.10, 1.28). Non-CVD hospitalisation had the strongest associations with chest pain (2.93; 2.77, 3.09), fatigue (1.87; 1.73, 2.01), general pain (1.87; 1.81, 1.93) and depression (1.59; 1.44, 1.74). CONCLUSIONS In the primary care HF population, routinely recorded cardiac and non-specific symptoms showed differential risk associations with hospitalisation and mortality.
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Affiliation(s)
- Mohammad Rizwan Ali
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Cardiovascular Biomedical Research Unit, NIHR Leicester Biomedical Research Centre, Leicester, UK
- Leicester Real World Evidence Unit, University of Leicester, Leicester, UK
| | - Carolyn S P Lam
- Department of Cardiology, National Heart Centre Singapore, Singapore
- Medical School, National University of Singapore, Singapore
| | - Anna Strömberg
- Department of Medical and Health Science, Linkopings universitet, Linkoping, Sweden
- Faculty of Medicine, Linkoping University, Linkoping, Sweden
| | - Simon P P Hand
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Sarah Booth
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Iain Squire
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- Cardiovascular Research Unit, NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Gerry P McCann
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Cardiovascular Biomedical Research Unit, NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University of Leicester, Leicester, UK
| | - Claire Alexandra Lawson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Cardiovascular Biomedical Research Unit, NIHR Leicester Biomedical Research Centre, Leicester, UK
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12
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Heathcote LE, Pollard DJ, Brennan A, Davies MJ, Eborall H, Edwardson CL, Gillett M, Gray LJ, Griffin SJ, Hardeman W, Henson J, Khunti K, Sharp S, Sutton S, Yates T. Cost-effectiveness analysis of two interventions to promote physical activity in a multiethnic population at high risk of diabetes: an economic evaluation of the 48-month PROPELS randomized controlled trial. BMJ Open Diabetes Res Care 2024; 12:e003516. [PMID: 38471669 DOI: 10.1136/bmjdrc-2023-003516] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 01/25/2024] [Indexed: 03/14/2024] Open
Abstract
INTRODUCTION Physical activity (PA) is protective against type 2 diabetes (T2D). However, data on pragmatic long-term interventions to reduce the risk of developing T2D via increased PA are lacking. This study investigated the cost-effectiveness of a pragmatic PA intervention in a multiethnic population at high risk of T2D. MATERIALS AND METHODS We adapted the School for Public Health Research diabetes prevention model, using the PROPELS trial data and analyses of the NAVIGATOR trial. Lifetime costs, lifetime quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs) were calculated for each intervention (Walking Away (WA) and Walking Away Plus (WA+)) versus usual care and compared with National Institute for Health and Care Excellence's willingness-to-pay of £20 000-£30 000 per QALY gained. We conducted scenario analyses on the outcomes of the PROPELS trial data and a threshold analysis to determine the change in step count that would be needed for the interventions to be cost-effective. RESULTS Estimated lifetime costs for usual care, WA, and WA+ were £22 598, £23 018, and £22 945, respectively. Estimated QALYs were 9.323, 9.312, and 9.330, respectively. WA+ was estimated to be more effective and cheaper than WA. WA+ had an ICER of £49 273 per QALY gained versus usual care. In none of our scenario analyses did either WA or WA+ have an ICER below £20 000 per QALY gained. Our threshold analysis suggested that a PA intervention costing the same as WA+ would have an ICER below £20 000/QALY if it were to achieve an increase in step count of 500 steps per day which was 100% maintained at 4 years. CONCLUSIONS We found that neither WA nor WA+ was cost-effective at a limit of £20 000 per QALY gained. Our threshold analysis showed that interventions to increase step count can be cost-effective at this limit if they achieve greater long-term maintenance of effect. TRIAL REGISTRATION NUMBER ISRCTN registration: ISRCTN83465245: The PRomotion Of Physical activity through structuredEducation with differing Levels of ongoing Support for those with pre-diabetes (PROPELS)https://doi.org/10.1186/ISRCTN83465245.
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Affiliation(s)
| | - Daniel J Pollard
- School for Health and Related Research, The University of Sheffield, Sheffield, UK
| | - Alan Brennan
- School for Health and Related Research, The University of Sheffield, Sheffield, UK
| | - Melanie J Davies
- Diabetes Research Department, University of Leicester, Leicester, UK
| | - Helen Eborall
- The University of Edinburgh Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK
| | | | - Michael Gillett
- School for Health and Related Research, The University of Sheffield, Sheffield, UK
| | | | | | | | - Joseph Henson
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Department, University of Leicester, Leicester, UK
| | | | - Stephen Sutton
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, UK
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13
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Rhead R, Harber-Aschan L, Onwumere J, Polling C, Dorrington S, Ehsan A, Stevelink SAM, Khunti K, Mir G, Morriss R, Wessely S, Woodhead C, Hatch S. Ethnic inequalities among NHS staff in England: workplace experiences during the COVID-19 pandemic. Occup Environ Med 2024; 81:113-121. [PMID: 38378264 PMCID: PMC10958323 DOI: 10.1136/oemed-2023-108976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 11/23/2023] [Indexed: 02/22/2024]
Abstract
OBJECTIVES This study aims to determine how workplace experiences of National Health Service (NHS) staff varied by ethnicity during the COVID-19 pandemic and how these experiences are associated with mental and physical health at the time of the study. METHODS An online Inequalities Survey was conducted by the Tackling Inequalities and Discrimination Experiences in Health Services study in collaboration with NHS CHECK. This Inequalities Survey collected measures relating to workplace experiences (such as personal protective equipment (PPE), risk assessments, redeployments and discrimination) as well as mental health (Patient Health Questionnaire (PHQ-9), Generalised Anxiety Disorder 7 (GAD-7)), and physical health (PHQ-15) from NHS staff working in the 18 trusts participating with the NHS CHECK study between February and October 2021 (N=4622). RESULTS Regression analysis of this cross-sectional data revealed that staff from black and mixed/other ethnic groups had greater odds of experiencing workplace harassment (adjusted OR (AOR) 2.43 (95% CI 1.56 to 3.78) and 2.38 (95% CI 1.12 to 5.07), respectively) and discrimination (AOR 4.36 (95% CI 2.73 to 6.96) and 3.94 (95% CI 1.67 to 9.33), respectively) compared with white British staff. Staff from black ethnic groups also had greater odds than white British staff of reporting PPE unavailability (AOR 2.16 (95% CI 1.16 to 4.00)). Such workplace experiences were associated with negative physical and mental health outcomes, though this association varied by ethnicity. Conversely, understanding employment rights around redeployment, being informed about and having the ability to inform redeployment decisions were associated with lower odds of poor physical and mental health. CONCLUSIONS Structural changes to the way staff from ethnically minoritised groups are supported, and how their complaints are addressed by leaders within the NHS are urgently required.
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Affiliation(s)
- Rebecca Rhead
- Psychological Medicine, King's College London - Institute of Psychiatry, Psychology & Neuroscience, London, UK
- Centre for Society and Mental Health, King's College London - Strand Campus, London, UK
| | - Lisa Harber-Aschan
- Psychological Medicine, King's College London - Institute of Psychiatry, Psychology & Neuroscience, London, UK
- Demography Unit, Stockholm University, Stockholm, Sweden
| | - Juliana Onwumere
- Psychological Medicine, King's College London - Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Catherine Polling
- Psychological Medicine, King's College London - Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Sarah Dorrington
- Psychological Medicine, King's College London - Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Annahita Ehsan
- Psychological Medicine, King's College London - Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Sharon A M Stevelink
- Psychological Medicine, King's College London - Institute of Psychiatry, Psychology & Neuroscience, London, UK
- King's Centre for Military Health Research, King's College London, London, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, Leicester General Hospital, Leicester, UK
- Real World Evidence Unit, University of Leicester, Leicester, UK
| | - Ghazala Mir
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Richard Morriss
- Institute of Mental Health, University of Nottingham, Nottingham, UK
- NIHR ARC East Midlands, University of Nottingham, Nottingham, UK
| | - Simon Wessely
- Psychological Medicine, King's College London - Institute of Psychiatry, Psychology & Neuroscience, London, UK
- King's Centre for Military Health Research, King's College London, London, UK
| | - Charlotte Woodhead
- Psychological Medicine, King's College London - Institute of Psychiatry, Psychology & Neuroscience, London, UK
- Centre for Society and Mental Health, King's College London - Strand Campus, London, UK
| | - Stephani Hatch
- Psychological Medicine, King's College London - Institute of Psychiatry, Psychology & Neuroscience, London, UK
- Centre for Society and Mental Health, King's College London - Strand Campus, London, UK
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14
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Hickman E, Almaqhawi A, Gillies C, Khunti K, Seidu S. Beliefs, practices, perceptions and motivations of healthcare professionals on medication deprescribing during end-of-life care: A systematic review. Prim Care Diabetes 2024:S1751-9918(24)00040-8. [PMID: 38443294 DOI: 10.1016/j.pcd.2024.02.006] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 02/24/2024] [Indexed: 03/07/2024]
Abstract
AIM Conduct a systematic review to investigate current beliefs, practices, perceptions, and motivations towards deprescribing practices from the healthcare professional perspective in older adults residing in long term care facilities with cardiometabolic conditions, using a narrative approach. METHODS Studies were identified using a literature search of MEDLINE, CINAHL and Web of Science from inception to June 2023 Two reviewers (EH and AA) independently extracted data from each selected study using a standardised self-developed data extraction proforma. Studies reviewed included cross-sectional and observational studies. Data was extracted on baseline characteristics, motivations and beliefs and was discussed using a narrative approach. RESULTS Eight studies were identified for inclusion. Deprescribing approaches included complete withdrawal, dose reduction, or switching to an alternative medication, for at least one preventive medication. Most healthcare professionals were willing to initiate deprescribing strategies and stated the importance of such interventions, however many felt inexperienced and lacked the required knowledge to feel comfortable doing so. CONCLUSION Deprescribing is a key strategy when managing older people with cardiometabolic and multiple long term conditions (MLTC). Overall, HCPs including specialists, were happy to explore deprescribing strategies if provided with the relevant training and development to do so. Barriers that still exist include communication and consultation skills, a lack of evidence-based guidance and trust based policies, and a lack of MDT communications and involvement. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42022335106.
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Affiliation(s)
- Elizabeth Hickman
- Diabetes Research Centre, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester LE5 4WP, UK.
| | - Abdullah Almaqhawi
- Diabetes Research Centre, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester LE5 4WP, UK
| | - Clare Gillies
- Diabetes Research Centre, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester LE5 4WP, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester LE5 4WP, UK
| | - Samuel Seidu
- Diabetes Research Centre, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester LE5 4WP, UK
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15
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Thirunavukkarasu S, Taylor R, Khunti K, Tapp RJ, Raben A, Zhu R, Kapoor N, Narayan KMV, Ali MK, Shaw JE. Low-calorie diets for people with isolated impaired fasting glucose. Commun Med (Lond) 2024; 4:35. [PMID: 38429400 PMCID: PMC10907622 DOI: 10.1038/s43856-024-00466-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 02/22/2024] [Indexed: 03/03/2024] Open
Abstract
Thirunavukkarasu et al. discuss how standard lifestyle interventions prove ineffective in preventing type 2 diabetes in individuals with isolated impaired fasting glucose, a highly prevalent prediabetes phenotype globally. They propose low-calorie diets as a promising strategy for diabetes prevention in this high-risk population.
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Affiliation(s)
- Sathish Thirunavukkarasu
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA.
| | - Roy Taylor
- Translational and Clinical Research Institute, Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Robyn J Tapp
- Centre for Intelligent Health Care, Coventry University, Coventry, UK
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Ruixin Zhu
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Nitin Kapoor
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, India
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA
| | - Mohammed K Ali
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
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16
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Highton P, Almaqhawi A, Oroko M, Sathanapally H, Gray L, Davies M, Webb D, Game F, Petrie J, Tesfaye S, Valabhji J, Gillies C, Khunti K. Non-pharmacological interventions to improve cardiovascular risk factors in people with diabetic foot disease: A systematic review and meta-analysis. Diabetes Res Clin Pract 2024; 209:111590. [PMID: 38403175 DOI: 10.1016/j.diabres.2024.111590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 02/27/2024]
Abstract
Cardiovascular disease (CVD) risk in those with diabetic foot disease is very high. Non-pharmacological interventions may improve this risk, though no previous evidence synthesis has been completed. This systematic review aimed to investigate the impact of non-pharmacological interventions on CVD risk factors in diabetic ulcer disease. Multiple databases and trials registers were searched from inception to December 6th 2023. We included reports of randomised controlled trials investigating the impact of non-pharmacological interventions on cardiovascular risk in those with type 1 or type 2 diabetes and current or previous diabetic foot disease. Twenty studies were included. Extracted data included: study design and setting; participant sociodemographic factors; and change in cardiovascular risk factors. Data were synthesised using random effects meta-analyses and narrative syntheses. Interventions included nutritional supplementation, collaborative care, hyperbaric oxygen therapy, patient education, nurse-led intervention, self-management, family support, relaxation and exercise, over a median duration of 12 weeks. Significant post-intervention changes were observed in fasting plasma glucose, serum insulin levels, insulin sensitivity and resistance, glycated haemoglobin, triglycerides, total cholesterol, low-density lipoprotein-cholesterol and C-reactive protein. No effects were detected in very low- or high-density lipoprotein-cholesterol or body mass index. Non-pharmacological interventions show promise in improving CVD risk in diabetic foot disease.
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Affiliation(s)
- Patrick Highton
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK; National Institute for Health and Care Research Applied Research Collaboration East Midlands, Leicester, UK.
| | - Abdullah Almaqhawi
- Department of Family and Community Medicine, College of Medicine, King Faisal University, Hofuf, Saudi Arabia
| | - Maroria Oroko
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Harini Sathanapally
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK
| | - Laura Gray
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Melanie Davies
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK
| | - David Webb
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK
| | - Frances Game
- Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Derby DE22 3NE, UK
| | - John Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Solomon Tesfaye
- Diabetes Research Unit, Royal Hallamshire Hospital, Sheffield S10 2JF, UK
| | - Jonathan Valabhji
- NHS England, Wellington House, 133-135 Waterloo Road, London SE1 8UG, UK; Department of Diabetes and Endocrinology, St Mary's Hospital, Imperial College Healthcare NHS Trust, The Bays, S Wharf Rd, Paddington, London W2 1NY, UK; Division of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington, London SW7 2BU, UK
| | - Clare Gillies
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK; National Institute for Health and Care Research Applied Research Collaboration East Midlands, Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK; National Institute for Health and Care Research Applied Research Collaboration East Midlands, Leicester, UK
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17
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Yates T, Biddle GJH, Henson J, Edwardson CL, Arsenyadis F, Goff LM, Papamargaritis D, Webb DR, Khunti K, Davies MJ. Impact of weight loss and weight gain trajectories on body composition in a population at high risk of type 2 diabetes: A prospective cohort analysis. Diabetes Obes Metab 2024; 26:1008-1015. [PMID: 38093678 DOI: 10.1111/dom.15400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/17/2023] [Accepted: 11/20/2023] [Indexed: 02/06/2024]
Abstract
AIM In a primary care population at high risk of type 2 diabetes, 24-month weight change trajectories were used to investigate the impact of weight cycling on fat mass (FM) and fat-free mass (FFM). MATERIALS AND METHODS Cohort data from the Walking Away from Type 2 Diabetes trial was used, which recruited adults at-risk of type 2 diabetes from primary care in 2009/10. Annual weight change trajectories based on weight loss/gain of ≥5% were assessed over two 24-month periods. Body composition was measured by bioelectrical impedance analysis. Repeated measures were analysed using generalized estimating equations with participants contributing up to two 24-month observation periods. RESULTS In total, 622 participants were included (average age = 63.6 years, body mass index = 32.0 kg/m2 , 35.4% women), contributing 1163 observations. Most observations (69.2%) were from those that maintained their body weight, with no change to FM or FFM. A minority (4.6% of observations) lost over 5% of body weight between baseline and 12 months, which was then regained between 12 and 24 months. These individuals regained FM to baseline levels, but lost 1.50 (0.66, 2.35) kg FFM, adjusted for confounders. In contrast, those that gained weight between baseline and 12 months but lost weight between 12 and 24 months (5.5% of observations) had a net gain in FM of 1.70 (0.27, 3.12) kg with no change to FFM. CONCLUSION Weight cycling may be associated with a progressive loss in FFM and/or gain in FM in those with overweight and obesity at-risk of type 2 diabetes.
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Affiliation(s)
- T Yates
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - G J H Biddle
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - J Henson
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - C L Edwardson
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - F Arsenyadis
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - L M Goff
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - D Papamargaritis
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - D R Webb
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - K Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - M J Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
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18
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Ayoubkhani D, Zaccardi F, Pouwels KB, Walker AS, Houston D, Alwan NA, Martin J, Khunti K, Nafilyan V. Employment outcomes of people with Long Covid symptoms: community-based cohort study. Eur J Public Health 2024:ckae034. [PMID: 38423541 DOI: 10.1093/eurpub/ckae034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Evidence on the long-term employment consequences of SARS-CoV-2 infection is lacking. We used data from a large, community-based sample in the UK to estimate associations between Long Covid and employment outcomes. METHODS This was an observational, longitudinal study using a pre-post design. We included survey participants from 3 February 2021 to 30 September 2022 when they were aged 16-64 years and not in education. Using conditional logit modelling, we explored the time-varying relationship between Long Covid status ≥12 weeks after a first test-confirmed SARS-CoV-2 infection (reference: pre-infection) and labour market inactivity (neither working nor looking for work) or workplace absence lasting ≥4 weeks. RESULTS Of 206 299 participants (mean age 45 years, 54% female, 92% white), 15% were ever labour market inactive and 10% were ever long-term absent during follow-up. Compared with pre-infection, inactivity was higher in participants reporting Long Covid 30 to <40 weeks [adjusted odds ratio (aOR): 1.45; 95% CI: 1.17-1.81] or 40 to <52 weeks (aOR: 1.34; 95% CI: 1.05-1.72) post-infection. Combining with official statistics on Long Covid prevalence, and assuming a correct statistical model, our estimates translate to 27 000 (95% CI: 6000-47 000) working-age adults in the UK being inactive because of Long Covid in July 2022. CONCLUSIONS Long Covid is likely to have contributed to reduced participation in the UK labour market, though it is unlikely to be the sole driver. Further research is required to quantify the contribution of other factors, such as indirect health effects of the pandemic.
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Affiliation(s)
- Daniel Ayoubkhani
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, Department of Population Health Sciences, University of Leicester, Leicester, UK
- Data and Analysis for Social Care and Health Division, Office for National Statistics, Newport, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Koen B Pouwels
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - A Sarah Walker
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Donald Houston
- City-Regional Economic Development Institute, Birmingham Business School, University of Birmingham, Birmingham, UK
| | - Nisreen A Alwan
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Applied Research Collaboration (ARC) Wessex, Southampton, UK
| | | | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Vahé Nafilyan
- Data and Analysis for Social Care and Health Division, Office for National Statistics, Newport, UK
- Department of Medical Statistics, Faculty of Epidemiology and Population Health, Environment and Society, London School of Hygiene & Tropical Medicine, London, UK
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Kunutsor SK, Balasubramanian VG, Zaccardi F, Gillies CL, Aroda VR, Seidu S, Khunti K. Glycaemic control and macrovascular and microvascular outcomes: A systematic review and meta-analysis of trials investigating intensive glucose-lowering strategies in people with type 2 diabetes. Diabetes Obes Metab 2024. [PMID: 38409644 DOI: 10.1111/dom.15511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/04/2024] [Accepted: 02/05/2024] [Indexed: 02/28/2024]
Abstract
AIM We aimed to determine the macrovascular and microvascular outcomes of intensive versus standard glucose-lowering strategies in type 2 diabetes (T2D) and investigate the relationships between these outcomes and trial arm glycated haemoglobin (HbA1c) reduction. MATERIALS AND METHODS In this systematic review and meta-analysis, we identified relevant trials from MEDLINE, Embase, the Cochrane Library, and bibliographies up to August 2023. Macrovascular and microvascular outcomes, along with safety outcomes, were evaluated. Pooled study-specific hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated, and meta-regression was employed to analyse the relationships between outcomes and HbA1c reduction. RESULTS We included 11 unique RCTs involving 51 469 patients with T2D (intensive therapy, N = 26 691; standard therapy, N = 24 778). Intensive versus standard therapy reduced the risk of non-fatal myocardial infarction (MI) (HR 0.84; 95% CI 0.75-0.94) with no difference in the risk of major adverse cardiovascular events (HR 0.97; 95% CI 0.92-1.03) and other adverse cardiovascular outcomes. Intensive versus standard therapy reduced the risk of retinopathy (HR 0.85; 0.78-0.93), nephropathy (HR 0.71; 0.58-0.87) and composite microvascular outcomes (HR 0.88; 0.77-1.00). Meta-regression analyses showed modest evidence of inverse linear relationships between HbA1c reduction and the outcomes of major adverse cardiovascular events, non-fatal MI, stroke and retinopathy, but these were not statistically significant. CONCLUSIONS In people with T2D, intensive glucose control was associated with a reduced risk of non-fatal MI and several microvascular outcomes, particularly retinopathy and nephropathy. The lack of an effect of intensive glucose-lowering on most macrovascular outcomes calls for a more comprehensive approach to managing cardiovascular risk factors alongside glycaemic control.
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Affiliation(s)
- Setor K Kunutsor
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Victoria G Balasubramanian
- Diabetes Research Centre, University of Leicester, Leicester, UK
- College of Life Sciences, University of Leicester, Leicester, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Clare L Gillies
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Vanita R Aroda
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Samuel Seidu
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
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20
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Goldney J, Henson J, Edwardson CL, Khunti K, Davies MJ, Yates T. Long-term ambient air pollution exposure and prospective change in sedentary behaviour and physical activity in individuals at risk of type 2 diabetes in the UK. J Public Health (Oxf) 2024; 46:e32-e42. [PMID: 38103023 PMCID: PMC10901272 DOI: 10.1093/pubmed/fdad263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Air pollution may be a risk factor for physical inactivity and sedentary behaviour (SED) through discouraging active lifestyles, impairing fitness and contributing to chronic diseases with potentially important consequences for population health. METHODS Using generalized estimating equations, we examined the associations between long-term particulate matter with diameter ≤2.5 μm (PM2.5), ≤10 μm (PM10) and nitrogen dioxide (NO2) and annual change in accelerometer-measured SED, moderate-to-vigorous physical activity (MVPA) and steps in adults at risk of type 2 diabetes within the Walking Away from Type 2 Diabetes trial. We adjusted for important confounders including social deprivation and measures of the built environment. RESULTS From 808 participants, 644 had complete data (1605 observations; 64.7% men; mean age 63.86 years). PM2.5, NO2 and PM10 were not associated with change in MVPA/steps but were associated with change in SED, with a 1 ugm-3 increase associated with 6.38 (95% confidence interval: 0.77, 12.00), 1.52 (0.49, 2.54) and 4.48 (0.63, 8.34) adjusted annual change in daily minutes, respectively. CONCLUSIONS Long-term PM2.5, NO2 and PM10 exposures were associated with an annual increase in SED: ~11-22 min/day per year across the sample range of exposure (three standard deviations). Future research should investigate whether interventions to reduce pollution may influence SED.
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Affiliation(s)
- Jonathan Goldney
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
| | - Joseph Henson
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
| | - Charlotte L Edwardson
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
| | - Melanie J Davies
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
| | - Thomas Yates
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
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21
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Pineda-Moncusí M, Allery F, Delmestri A, Bolton T, Nolan J, Thygesen JH, Handy A, Banerjee A, Denaxas S, Tomlinson C, Denniston AK, Sudlow C, Akbari A, Wood A, Collins GS, Petersen I, Coates LC, Khunti K, Prieto-sAlhambra D, Khalid S. Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity. Sci Data 2024; 11:221. [PMID: 38388690 PMCID: PMC10883937 DOI: 10.1038/s41597-024-02958-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/12/2024] [Indexed: 02/24/2024] Open
Abstract
Intersectional social determinants including ethnicity are vital in health research. We curated a population-wide data resource of self-identified ethnicity data from over 60 million individuals in England primary care, linking it to hospital records. We assessed ethnicity data in terms of completeness, consistency, and granularity and found one in ten individuals do not have ethnicity information recorded in primary care. By linking to hospital records, ethnicity data were completed for 94% of individuals. By reconciling SNOMED-CT concepts and census-level categories into a consistent hierarchy, we organised more than 250 ethnicity sub-groups including and beyond "White", "Black", "Asian", "Mixed" and "Other, and found them to be distributed in proportions similar to the general population. This large observational dataset presents an algorithmic hierarchy to represent self-identified ethnicity data collected across heterogeneous healthcare settings. Accurate and easily accessible ethnicity data can lead to a better understanding of population diversity, which is important to address disparities and influence policy recommendations that can translate into better, fairer health for all.
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Affiliation(s)
- Marta Pineda-Moncusí
- Centre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Freya Allery
- Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK
| | - Antonella Delmestri
- Centre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Thomas Bolton
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
| | - John Nolan
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
| | - Johan H Thygesen
- Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK
| | - Alex Handy
- Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK
| | - Amitava Banerjee
- Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK
| | - Spiros Denaxas
- Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
- University College London Hospitals Biomedical Research Centre, University College London, London, UK
| | - Christopher Tomlinson
- Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK
- University College London Hospitals Biomedical Research Centre, University College London, London, UK
- UK Research and Innovation Centre for Doctoral Training in AI-enabled Healthcare Systems, University College London, London, UK
| | | | - Cathie Sudlow
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
| | - Ashley Akbari
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, Wales, UK
| | - Angela Wood
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Gary S Collins
- Centre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Irene Petersen
- Department of Primary Care and Population Health, UCL, London, NW3 2PF, UK
- Department of Clinical Epidemiology, Aarhus University, Aarhus N, Aarhus, 8200, Denmark
| | - Laura C Coates
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Daniel Prieto-sAlhambra
- Centre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
- Department of Medical Informatics, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Sara Khalid
- Centre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.
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22
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Seaquist E, Giménez M, Yan Y, Matsuhisa M, Kao CY, Wadwa RP, Nagai Y, Khunti K. Nasal Glucagon Reverses Insulin-induced Hypoglycemia With Less Rebound Hyperglycemia: Pooled Analysis of Clinical Trials. J Endocr Soc 2024; 8:bvae034. [PMID: 38444629 PMCID: PMC10913376 DOI: 10.1210/jendso/bvae034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Indexed: 03/07/2024] Open
Abstract
Background Rebound hyperglycemia may occur following glucagon treatment for severe hypoglycemia. We assessed rebound hyperglycemia occurrence after nasal glucagon (NG) or injectable glucagon (IG) administration in patients with type 1 diabetes (T1D) and type 2 diabetes (T2D). Methods This was a pooled analysis of 3 multicenter, randomized, open-label studies (NCT03339453, NCT03421379, NCT01994746) in patients ≥18 years with T1D or T2D with induced hypoglycemia. Proportions of patients achieving treatment success [blood glucose (BG) increase to ≥70 mg/dL or increase of ≥20 mg/dL from nadir within 15 and 30 minutes]; BG ≥70 mg/dL within 15 minutes; in-range BG (70-180 mg/dL) 1 to 2 and 1 to 4 hours postdose; and BG >180 mg/dL 1 to 2 and 1 to 4 hours postdose were compared. Incremental area under curve (iAUC) of BG >180 mg/dL and area under curve (AUC) of observed BG values postdose were analyzed. Safety was assessed in all studies. Results Higher proportions of patients had in-range BG with NG vs IG (1-2 hours: P = .0047; 1-4 hours: P = .0034). Lower proportions of patients had at least 1 BG value >180 mg/dL with NG vs IG (1-2 hours: P = .0034; 1-4 hours: P = .0068). iAUC and AUC were lower with NG vs IG (P = .025 and P < .0001). As expected, similar proportions of patients receiving NG or IG achieved treatment success at 15 and 30 minutes (97-100%). Most patients had BG ≥70 mg/dL within 15 minutes (93-96%). The safety profile was consistent with previous studies. Conclusion This study demonstrated lower rebound hyperglycemia risk after NG treatment compared with IG. Clinical Trial Registration NCT03421379, NCT03339453, NCT01994746.
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Affiliation(s)
- Elizabeth Seaquist
- Department of Medicine, Division of Endocrinology and Diabetes, University of Minnesota, Minneapolis, MN 55455, USA
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona 08036, Spain
| | - Yu Yan
- Eli Lilly and Company, Indianapolis, IN 46225, USA
| | - Munehide Matsuhisa
- Diabetes Therapeutics and Research Center, Institute of Advanced Medical Sciences, Tokushima University, Tokushima 770-8503, Japan
| | | | - R Paul Wadwa
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Yukiko Nagai
- Eli Lilly and Company, Indianapolis, IN 46225, USA
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK
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23
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Kerr S, Bedston S, Cezard G, Sampri A, Murphy S, Bradley DT, Morrison K, Akbari A, Whiteley W, Sullivan C, Patterson L, Khunti K, Denaxas S, Bolton T, Khan S, Keys A, Weatherill D, Mooney K, Davies J, Ritchie L, McMenamin J, Kee F, Wood A, Lyons RA, Sudlow C, Robertson C, Sheikh A. Undervaccination and severe COVID-19 outcomes: meta-analysis of national cohort studies in England, Northern Ireland, Scotland, and Wales. Lancet 2024; 403:554-566. [PMID: 38237625 DOI: 10.1016/s0140-6736(23)02467-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 10/31/2023] [Accepted: 11/02/2023] [Indexed: 02/12/2024]
Abstract
BACKGROUND Undervaccination (receiving fewer than the recommended number of SARS-CoV-2 vaccine doses) could be associated with increased risk of severe COVID-19 outcomes-ie, COVID-19 hospitalisation or death-compared with full vaccination (receiving the recommended number of SARS-CoV-2 vaccine doses). We sought to determine the factors associated with undervaccination, and to investigate the risk of severe COVID-19 outcomes in people who were undervaccinated in each UK nation and across the UK. METHODS We used anonymised, harmonised electronic health record data with whole population coverage to carry out cohort studies in England, Northern Ireland, Scotland, and Wales. Participants were required to be at least 5 years of age to be included in the cohorts. We estimated adjusted odds ratios for undervaccination as of June 1, 2022. We also estimated adjusted hazard ratios (aHRs) for severe COVID-19 outcomes during the period June 1 to Sept 30, 2022, with undervaccination as a time-dependent exposure. We combined results from nation-specific analyses in a UK-wide fixed-effect meta-analysis. We estimated the reduction in severe COVID-19 outcomes associated with a counterfactual scenario in which everyone in the UK was fully vaccinated on June 1, 2022. FINDINGS The numbers of people undervaccinated on June 1, 2022 were 26 985 570 (45·8%) of 58 967 360 in England, 938 420 (49·8%) of 1 885 670 in Northern Ireland, 1 709 786 (34·2%) of 4 992 498 in Scotland, and 773 850 (32·8%) of 2 358 740 in Wales. People who were younger, from more deprived backgrounds, of non-White ethnicity, or had a lower number of comorbidities were less likely to be fully vaccinated. There was a total of 40 393 severe COVID-19 outcomes in the cohorts, with 14 156 of these in undervaccinated participants. We estimated the reduction in severe COVID-19 outcomes in the UK over 4 months of follow-up associated with a counterfactual scenario in which everyone was fully vaccinated on June 1, 2022 as 210 (95% CI 94-326) in the 5-15 years age group, 1544 (1399-1689) in those aged 16-74 years, and 5426 (5340-5512) in those aged 75 years or older. aHRs for severe COVID-19 outcomes in the meta-analysis for the age group of 75 years or older were 2·70 (2·61-2·78) for one dose fewer than recommended, 3·13 (2·93-3·34) for two fewer, 3·61 (3·13-4·17) for three fewer, and 3·08 (2·89-3·29) for four fewer. INTERPRETATION Rates of undervaccination against COVID-19 ranged from 32·8% to 49·8% across the four UK nations in summer, 2022. Undervaccination was associated with an elevated risk of severe COVID-19 outcomes. FUNDING UK Research and Innovation National Core Studies: Data and Connectivity.
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24
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Samuel M, Park RY, Eastwood SV, Eto F, Morton CE, Stow D, Bacon SC, Goldacre B, Mehrkar A, Morley J, Dillingham I, Inglesby P, Hulme WJ, Khunti K, Mathur R, Valabhji J, MacKenna B, Finer S. Weight trends amongst adults with diabetes or hypertension during the COVID-19 pandemic: an observational study using OpenSAFELY. Br J Gen Pract 2024:BJGP.2023.0492. [PMID: 38296356 DOI: 10.3399/bjgp.2023.0492] [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] [Received: 09/19/2023] [Accepted: 01/16/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND COVID-19 pandemic restrictions may have influenced behaviours related to weight. AIMS To describe patterns of weight change amongst adults living in England with Type 2 Diabetes (T2D) and/or hypertension during the COVID-19 pandemic. Design and Setting With the approval of NHS England, we conducted an observational cohort study using the routinely collected health data of approximately 40% of adults living in England, accessed through the OpenSAFELY service inside TPP. METHOD We investigated clinical and sociodemographic characteristics associated with rapid weight gain (>0·5kg/m2/year) using multivariable logistic regression. RESULTS We extracted data on adults with T2D (n=1,231,455, 44% female, 76% white British) or hypertension (n=3,558,405, 50% female, 84% white British). Adults with T2D lost weight overall (median δ = -0.1kg/m2/year [IQR: -0.7, 0.4]), however, rapid weight gain was common (20.7%) and associated with sex (male vs female: aOR 0.78[95%CI 0.77, 0.79]); age, older age reduced odds (e.g. 60-69-year-olds vs 18-29-year-olds: aOR 0.66[0.61, 0.71]); deprivation, (least-deprived-IMD vs most-deprived-IMD: aOR 0.87[0.85, 0.89]); white ethnicity (Black vs White: aOR 0.95[0.92, 0.98]); mental health conditions (e.g. depression: aOR 1.13 [1.12, 1.15]); and diabetes treatment (non-insulin treatment vs no pharmacological treatment: aOR 0.68[0.67, 0.69]). Adults with hypertension maintained stable weight overall (median δ = 0.0kg/m2/year [ -0.6, 0.5]), however, rapid weight gain was common (24.7%) and associated with similar characteristics as in T2D. CONCLUSION Amongst adults living in England with T2D and/or hypertension, rapid pandemic weight gain was more common amongst females, younger adults, those living in more deprived areas, and those with mental health condition.
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Affiliation(s)
- Miriam Samuel
- Queen Mary University of London, Wolfson Institute of Population Health, London, United Kingdom
| | - Robin Y Park
- Oxford University, Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, Oxford, United Kingdom
| | | | - Fabiola Eto
- Queen Mary University of London, Wolfson Institute of Population Health, London, United Kingdom
| | - Caroline E Morton
- Queen Mary University of London, Wolfson Institute of Population Health, London, United Kingdom
| | - Daniel Stow
- Queen Mary University of London, Wolfson Institute of Population Health, London, United Kingdom
| | - Sebastian Cj Bacon
- Oxford University, Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, Oxford, United Kingdom
| | - Ben Goldacre
- Oxford University, Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, Oxford, United Kingdom
| | - Amir Mehrkar
- Oxford University, Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, Oxford, United Kingdom
| | - Jessica Morley
- Oxford University, Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, Oxford, United Kingdom
| | - Iain Dillingham
- Oxford University, Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, Oxford, United Kingdom
| | - Peter Inglesby
- Oxford University, Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, Oxford, United Kingdom
| | - William J Hulme
- Oxford University, Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, Oxford, United Kingdom
| | - Kamlesh Khunti
- University of Leicester, Leicester Diabetes Centre, Leicester General Hospital, Leicester, United Kingdom
| | - Rohini Mathur
- Queen Mary University of London, Wolfson Institute of Population Health, London, United Kingdom
| | - Jonathan Valabhji
- Imperial College London, Division of Metabolism, Digestion and Reproduction, London, United Kingdom
| | - Brian MacKenna
- Oxford University, Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, Oxford, United Kingdom
| | - Sarah Finer
- Queen Mary University of London, Wolfson Institute of Population Health, London, United Kingdom
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Ali MR, Nacer H, Lawson CA, Khunti K. Racial and ethnic disparities in primary prevention of cardiovascular disease. Can J Cardiol 2024:S0828-282X(24)00076-X. [PMID: 38309463 DOI: 10.1016/j.cjca.2024.01.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 12/19/2023] [Accepted: 01/02/2024] [Indexed: 02/05/2024] Open
Abstract
Cardiovascular disease (CVD) disproportionately affects ethnic minority groups globally. Ethnic minority groups face particularly high CVD burden and mortality, exacerbated by disparities across modifiable risk factors, wider determinants of health and limited access to preventative interventions. This narrative review summarises evidence on modifiable risk factors such as physical activity, hypertension, diet, smoking, alcohol, diabetes and the polypill for the primary prevention of CVD in ethnic minorities. Across these factors, we find inequities in risk factor prevalence. The evidence underscores that inequalities in accessibility to interventions and treatments impede progress in reducing CVD risk using primary prevention interventions for ethnic minority people. While culturally tailored interventions show promise, further research is required across the different risk factors. Social determinants of health and structural inequities also exacerbate ethnic minority people's CVD risk and warrant greater attention. Additionally, we find there is limited ethnicity-specific data and guidelines on CVD primary prevention interventions for most risk factors. To address these gaps in research, we provide recommendations which include: investigating the sustainability and real-world effectiveness of culturally sensitive interventions, ensuring ethnic minority peoples' perspectives in research are considered, longitudinal tracking of risk factors, interventions and outcomes in ethnic minority people and ensuring data collection and reporting of ethnicity data is standardised.
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Affiliation(s)
- Mohammad R Ali
- Department of Cardiovascular Sciences, University of Leicester, UK; NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK; Diabetes Research Centre, University of Leicester, UK.
| | | | - Claire A Lawson
- Department of Cardiovascular Sciences, University of Leicester, UK; NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Kamlesh Khunti
- NIHR Applied Research Collaboration East Midlands, University of Leicester, UK; Diabetes Research Centre, University of Leicester, UK
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26
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Patel H, Khunti K, Rodbard HW, Bajaj HS, Bray R, Kindracki Z, Rodríguez Á. Gastrointestinal adverse events and weight reduction in people with type 2 diabetes treated with tirzepatide in the SURPASS clinical trials. Diabetes Obes Metab 2024; 26:473-481. [PMID: 37853960 DOI: 10.1111/dom.15333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/22/2023] [Accepted: 09/30/2023] [Indexed: 10/20/2023]
Abstract
AIMS To evaluate gastrointestinal adverse events (AEs) and the impact of nausea, vomiting or diarrhoea (N/V/D) and any gastrointestinal (GI) AEs overall on weight change with tirzepatide across the SURPASS-1 to -5 clinical trials. MATERIALS AND METHODS Participants with type 2 diabetes were randomized to receive once-weekly tirzepatide (5, 10 or 15 mg) or comparator (placebo, semaglutide 1 mg once weekly, or titrated daily basal insulins) as monotherapy or added on to background antihyperglycaemic medication(s). This post hoc analysis subdivided participants within each trial into subgroups that self-reported (yes/no) any N/V/D or GI AEs. Change from baseline in body weight at the primary timepoint was assessed within each trial and subgroup. Mediation analyses were conducted to evaluate the contribution of direct and indirect (mediated by N/V/D or GI AEs) effects of tirzepatide on weight change versus comparators. RESULTS Across the SURPASS-1 to -5 trials (N = 6263), nausea (12%-24%), diarrhoea (12%-22%), and vomiting (2%-13%) were the most common GI AEs reported with tirzepatide; these were transient and of mild-to-moderate severity. Mean weight reduction at the primary timepoint with tirzepatide was consistent between participants who reported N/V/D (-6.2 to -14.9 kg) and those who did not report N/V/D (-6.2 to -13.3 kg). Mean weight reduction was significantly (P < 0.01) greater with tirzepatide compared with placebo, semaglutide 1 mg, and basal insulins within the N/V/D and GI AEs subgroups. Mediation analyses suggested minimal contribution (<6%) of N/V/D and GI AEs to the overall difference in weight change between tirzepatide and comparators. CONCLUSIONS Superior weight reduction with tirzepatide versus comparators appears to be independent of reported N/V/D or GI AEs.
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Affiliation(s)
- Hiren Patel
- Eli Lilly and Company, Indianapolis, Indiana, USA
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | | | | | - Ross Bray
- Eli Lilly and Company, Indianapolis, Indiana, USA
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Shabnam S, Abner S, Gillies CL, Davies MJ, Dex T, Khunti K, Webb DR, Zaccardi F, Seidu S. Effect of delay in treatment intensification in people with type 2 diabetes and suboptimal glycaemia after basal insulin initiation: A real-world observational study. Diabetes Obes Metab 2024; 26:512-523. [PMID: 37857573 DOI: 10.1111/dom.15337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/25/2023] [Accepted: 10/03/2023] [Indexed: 10/21/2023]
Abstract
AIM Despite global recommendations for type 2 diabetes mellitus treatment to maintain optimal glycaemic targets, a significant proportion of people remain in suboptimal glycaemic control. Our objective was to investigate the impact of intensification delay after basal insulin (BI) initiation on long-term complications in people with suboptimal glycaemia. MATERIALS AND METHODS We conducted a retrospective cohort study in individuals with type 2 diabetes mellitus initiated on BI. Those with suboptimal glycaemia (glycated haemoglobin ≥7% or ≥53 mmol/mol) within 12 months of BI initiation were divided into early (treatment intensified within 5 years), or late (≥5 years) intensification groups. We estimated the age-stratified risks of micro- and macrovascular complications among these groups compared with those with optimal glycaemia (glycated haemoglobin <7%). RESULTS Of the 13 916 people with suboptimal glycaemia, 52.5% (n = 7304) did not receive any treatment intensification. In those aged <65 years, compared with the optimal glycaemia group late intensification was associated with a 56% higher risk of macrovascular complications (adjusted hazard ratio 1.56; 95% confidence intervals 1.08, 2.26). In elderly people (≥65 years), late intensification was associated with a higher risk of cardiovascular-related death (1.62; 1.03, 2.54) and a lower risk of microvascular complications (0.26; 0.08, 0.83). CONCLUSIONS Those who had late intensification were at an increased risk of cardiovascular death if they were ≥65 years and an increased risk of macrovascular complications if they were <65 years. These findings highlight the critical need for earlier intensification of treatment and adopting personalized treatment strategies to improve patient outcomes.
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Affiliation(s)
- Sharmin Shabnam
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Sophia Abner
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- IQVIA, London, UK
| | - Clare L Gillies
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Melanie J Davies
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Terry Dex
- Department of Medical Affairs, Sanofi, Bridgewater, New Jersey, USA
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - David R Webb
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Samuel Seidu
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, UK
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Hartmann-Boyce J, Highton P, Rees K, Onakpoya I, Suklan J, Curtis F, O'Mahoney L, Morris E, Kudlek L, Morgan J, Lynch R, Marpadga S, Seidu S, Khunti K. The impact of the COVID-19 pandemic and associated disruptions in health-care provision on clinical outcomes in people with diabetes: a systematic review. Lancet Diabetes Endocrinol 2024; 12:132-148. [PMID: 38272607 DOI: 10.1016/s2213-8587(23)00351-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/10/2023] [Accepted: 11/13/2023] [Indexed: 01/27/2024]
Abstract
The COVID-19 pandemic triggered disruptions to health care and lifestyles that could conceivably impact diabetes management. We set out to identify the impact of disruptions caused by COVID-19 on clinical outcomes in people with diabetes. We performed a systematic review of the available literature in the MEDLINE and OVID databases from Jan 1, 2020, to June 7, 2023, and included 138 studies (n>1 000 000 people). All but five studies were judged to be at some risk of bias. All studies compared prepandemic with pandemic periods. All-cause mortality (six studies) and diabetes-related mortality (13 studies) showed consistent increases, and most studies indicated increases in sight loss (six studies). In adult and mixed samples, data generally suggested no difference in diabetic ketoacidosis frequency or severity, whereas in children and adolescents most studies showed increases with some due to new-onset diabetes (69 studies). Data suggested decreases in hospital admissions in adults but increases in diabetes-related admissions to paediatric intensive care units (35 studies). Data were equivocal on diabetic foot ulcer presentations (nine studies), emergency department admissions (nine studies), and overall amputation rates (20 studies). No studies investigated renal failure. Where reported, the impact was most pronounced for females, younger people, and racial and ethnic minority groups. Further studies are needed to investigate the longer-term impact of the pandemic and the on potential differential impacts, which risk further exacerbating existing inequalities within people with diabetes.
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Affiliation(s)
- Jamie Hartmann-Boyce
- Department of Health Promotion and Policy, University of Massachusetts Amherst, Amherst, MA, USA; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
| | | | | | - Igho Onakpoya
- Department for Continuing Education, University of Oxford, Oxford, UK
| | - Jana Suklan
- National Institute for Health and Care Research Newcastle In Vitro Diagnostics Co-operative, Newcastle University, Newcastle, UK
| | - Ffion Curtis
- Liverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK
| | | | - Elizabeth Morris
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Laura Kudlek
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Jessica Morgan
- Medical Sciences Division, University of Oxford, Oxford, UK
| | - Rosie Lynch
- Medical Sciences Division, University of Oxford, Oxford, UK
| | | | - Samuel Seidu
- Diabetes Research Centre, University of Leicester, UK
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Henson J, Davies MJ, Brady EM, Edwardson CL, Hall AP, Khunti K, Redman E, Rowlands AV, Sargeant J, Yates T. The potential blunting effect of metformin and/or statin therapy on physical activity-induced associations with HbA1c in type 2 diabetes. J Diabetes 2024; 16:e13495. [PMID: 37964490 PMCID: PMC10859307 DOI: 10.1111/1753-0407.13495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 09/22/2023] [Accepted: 10/21/2023] [Indexed: 11/16/2023] Open
Abstract
Highlights Our analysis indicates a potential blunting effect of metformin and/or statin therapy on physical activity-induced associations with HbA1c. The benefit of daily physical activity on glycemic control in people with type 2 diabetes is potentially more apparent in those prescribed neither metformin nor statin therapy. As physical activity is rarely prescribed in isolation of other background medications used to manage type 2 diabetes, the results of this analysis may help to maximize interventions delivered through routine clinical care, while allowing for personalization in prescribed physical activity and pharmacotherapy.
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Affiliation(s)
- Joseph Henson
- NIHRLeicester Biomedical Research CentreLeicesterUK
- Diabetes Research CentreCollege of Life Sciences, University of LeicesterLeicesterUK
| | - Melanie J. Davies
- NIHRLeicester Biomedical Research CentreLeicesterUK
- Diabetes Research CentreCollege of Life Sciences, University of LeicesterLeicesterUK
| | - Emer M. Brady
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
| | - Charlotte L. Edwardson
- NIHRLeicester Biomedical Research CentreLeicesterUK
- Diabetes Research CentreCollege of Life Sciences, University of LeicesterLeicesterUK
| | - Andrew P. Hall
- Hanning Sleep LaboratoryLeicester General HospitalLeicesterUK
| | - Kamlesh Khunti
- Diabetes Research CentreCollege of Life Sciences, University of LeicesterLeicesterUK
- NIHRApplied Health Research Collaboration – East Midlands (NIHR ARC‐EM), Leicester Diabetes CentreLeicesterUK
| | - Emma Redman
- Leicester Diabetes CentreUniversity Hospitals of Leicester NHS TrustLeicesterUK
| | - Alex V. Rowlands
- NIHRLeicester Biomedical Research CentreLeicesterUK
- Diabetes Research CentreCollege of Life Sciences, University of LeicesterLeicesterUK
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human PerformanceUniversity of South Australia, Adelaide, AustraliaAdelaideSouth AustraliaAustralia
| | - Jack Sargeant
- NIHRLeicester Biomedical Research CentreLeicesterUK
- Diabetes Research CentreCollege of Life Sciences, University of LeicesterLeicesterUK
- Leicester Diabetes CentreUniversity Hospitals of Leicester NHS TrustLeicesterUK
| | - Thomas Yates
- NIHRLeicester Biomedical Research CentreLeicesterUK
- Diabetes Research CentreCollege of Life Sciences, University of LeicesterLeicesterUK
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Henson J, Yates T, Bhattacharjee A, Chudasama YV, Davies MJ, Dempsey PC, Goldney J, Khunti K, Laukkanen JA, Razieh C, Rowlands AV, Zaccardi F. Walking pace and the time between the onset of noncommunicable diseases and mortality: a UK Biobank prospective cohort study. Ann Epidemiol 2024; 90:21-27. [PMID: 37820945 DOI: 10.1016/j.annepidem.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/13/2023]
Abstract
PURPOSE To estimate time spent in various cardiovascular disease (CVD) and cancer states, according to self-reported walking pace. METHODS In total, 391,744 UK Biobank participants were included (median age = 57 years; 54.7% women). Data were collected 2006-2010, with follow-up collected in 2021. Usual walking pace was self-defined as slow, steady, average, or brisk. Multistate modeling determined the transition rate and mean sojourn time in and across three different states (healthy, CVD or cancer, and death) upon a time horizon of 10 years. RESULTS The mean sojourn time in the healthy state was longer, while that in the CVD or cancer state was shorter in individuals reporting an average or brisk walking pace (vs. slow). A 75-year-old woman reporting a brisk walking pace spent, on average, 8.4 years of the next 10 years in a healthy state; an additional 8.0 (95% CI: 7.3, 8.7) months longer than a 75-year-old woman reporting a slow walking pace. This corresponded to 4.3 (3.7, 4.9) fewer months living with CVD or cancer. Similar results were seen in men. CONCLUSIONS Adults reporting an average or brisk walking pace at baseline displayed a lower transition to disease development and a greater proportion of life lived without CVD or cancer. AVAILABILITY OF DATA AND MATERIALS Research was conducted using the UK Biobank resource under Application #33266. The UK Biobank resource can be accessed by researchers on application. Variables derived for this study have been returned to the UK Biobank for future applicants to request. No additional data are available.
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Affiliation(s)
- Joseph Henson
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK.
| | - Thomas Yates
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
| | - Atanu Bhattacharjee
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Yogini V Chudasama
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Melanie J Davies
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
| | - Paddy C Dempsey
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
| | - Jonathan Goldney
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; NIHR Applied Health Research Collaboration-East Midlands (NIHR ARC-EM), Leicester Diabetes Centre, Leicester, UK
| | - Jari A Laukkanen
- Institute of Clinical Medicine and Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland; Department of Medicine, Wellbeing Services County of Central Finland, Jyväskylä, Finland
| | - Cameron Razieh
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Leicester, UK; Office for National Statistics, Data & Analysis for Social Care and Health (DASCH) Division, Newport, UK
| | - Alex V Rowlands
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Alliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Francesco Zaccardi
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Leicester, UK
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31
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Rizzi A, Kloecker DE, Pitocco D, Khunti K, Davies MJ, Zaccardi F. Effect of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors on time to outcome in type 2 diabetes cardiorenal outcome trials. Diabetes Metab Syndr 2024; 18:102945. [PMID: 38262118 DOI: 10.1016/j.dsx.2024.102945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 01/25/2024]
Abstract
INTRODUCTION In randomized controlled trials (RCTs), treatment effects are commonly reported as hazard ratio, a measure often misinterpreted as a relative risk reduction. The acceleration factor (AF) indicates the extent to which a treatment increases/decreases the time before the occurrence of an outcome and gives useful insights in the interpretation of trials' results. METHODS Using individual time-to-event data reconstructed from Kaplan-Meier plots, we estimated AFs for the primary outcomes (POs) and all-cause mortality in glucagon-like peptide-1 receptor agonists (GLP1-RAs) or sodium-glucose cotransporter-2 inhibitors (SGLT2-is) cardiorenal outcome trials in subjects with type 2 diabetes. RESULTS AFs were estimated from 28 Kaplan-Meier plots of 19 RCTs. Compared to placebo, most GLP1-RAs increased the time before the onset of POs (from 9 % to 59 %) and all-cause mortality (from 8 to 13 %). Similarly, SGLT2-is increased time before the onset of POs (from 19 % to 87 %) and all-cause mortality (from 13 % to 42 %). CONCLUSIONS The AFs provide a complementary and easier-to-interpret measure of treatment effect that could be useful to improve the shared decision-making.
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Affiliation(s)
- Alessandro Rizzi
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK; Diabetes Care Unit, Catholic University, Fondazione Policlinico Agostino Gemelli, Rome, Italy.
| | - David E Kloecker
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK
| | - Dario Pitocco
- Diabetes Care Unit, Catholic University, Fondazione Policlinico Agostino Gemelli, Rome, Italy
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK; NIHR Collaboration for Leadership in Applied Health Research and Care-East Midlands, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4PW, UK
| | - Melanie J Davies
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4PW, UK; Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK; NIHR Collaboration for Leadership in Applied Health Research and Care-East Midlands, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4PW, UK
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Lane D, Allsopp R, Holmes CW, Slingsby OC, Jukes-Jones R, Bird P, Anderson NL, Razavi M, Yip R, Pearson TW, Pope M, Khunti K, Doykov I, Hällqvist J, Mills K, Skipp P, Carling R, Ng L, Shaw J, Gupta P, Jones DJL. A high throughput immuno-affinity mass spectrometry method for detection and quantitation of SARS-CoV-2 nucleoprotein in human saliva and its comparison with RT-PCR, RT-LAMP, and lateral flow rapid antigen test. Clin Chem Lab Med 2024; 0:cclm-2023-0243. [PMID: 38253336 DOI: 10.1515/cclm-2023-0243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 12/12/2023] [Indexed: 01/24/2024]
Abstract
OBJECTIVES Many reverse transcription polymerase chain reaction (RT-PCR) methods exist that can detect SARS-CoV-2 RNA in different matrices. RT-PCR is highly sensitive, although viral RNA may be detected long after active infection has taken place. SARS-CoV-2 proteins have shorter detection windows hence their detection might be more meaningful. Given salivary droplets represent a main source of transmission, we explored the detection of viral RNA and protein using four different detection platforms including SISCAPA peptide immunoaffinity liquid chromatography-mass spectrometry (SISCAPA-LC-MS) using polyclonal capture antibodies. METHODS The SISCAPA-LC MS method was compared to RT-PCR, RT-loop-mediated isothermal amplification (RT-LAMP), and a lateral flow rapid antigen test (RAT) for the detection of virus material in the drool saliva of 102 patients hospitalised after infection with SARS-CoV-2. Cycle thresholds (Ct) of RT-PCR (E gene) were compared to RT-LAMP time-to-positive (TTP) (NE and Orf1a genes), RAT optical densitometry measurements (test line/control line ratio) and to SISCAPA-LC-MS for measurements of viral protein. RESULTS SISCAPA-LC-MS showed low sensitivity (37.7 %) but high specificity (89.8 %). RAT showed lower sensitivity (24.5 %) and high specificity (100 %). RT-LAMP had high sensitivity (83.0 %) and specificity (100.0 %). At high initial viral RNA loads (<20 Ct), results obtained using SISCAPA-LC-MS correlated with RT-PCR (R2 0.57, p-value 0.002). CONCLUSIONS Detection of SARS-CoV-2 nucleoprotein in saliva was less frequent than the detection of viral RNA. The SISCAPA-LC-MS method allowed processing of multiple samples in <150 min and was scalable, enabling high throughput.
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Affiliation(s)
- Dan Lane
- The Department of Chemical Pathology and Metabolic Diseases, Leicester Royal Infirmary, University Hospitals of Leicester, Leicester, UK
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Rebecca Allsopp
- Department of Genetics and Genome Biology, Leicester Cancer Research Centre, University of Leicester, Leicester, UK
| | - Christopher W Holmes
- Clinical Microbiology, Leicester Royal Infirmary, University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | - Rebekah Jukes-Jones
- The Department of Chemical Pathology and Metabolic Diseases, Leicester Royal Infirmary, University Hospitals of Leicester, Leicester, UK
| | - Paul Bird
- Clinical Microbiology, Leicester Royal Infirmary, University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | | | - Richard Yip
- SISCAPA Assay Technologies, Inc., Washington, DC, USA
| | | | - Matt Pope
- SISCAPA Assay Technologies, Inc., Washington, DC, USA
| | - Kamlesh Khunti
- Leicester Diabetes Centre, Leicester General Hospital, University of Leicester, Leicester, UK
| | - Ivan Doykov
- Genetics & Genomic Medicine Department, Translational Mass Spectrometry Research Group, UCL Institute of Child Health, London, UK
- Great Ormond Street Biomedical Research Centre, UCL Institute of Child Health, London, UK
| | - Jenny Hällqvist
- Genetics & Genomic Medicine Department, Translational Mass Spectrometry Research Group, UCL Institute of Child Health, London, UK
- Great Ormond Street Biomedical Research Centre, UCL Institute of Child Health, London, UK
| | - Kevin Mills
- Genetics & Genomic Medicine Department, Translational Mass Spectrometry Research Group, UCL Institute of Child Health, London, UK
- Great Ormond Street Biomedical Research Centre, UCL Institute of Child Health, London, UK
| | - Paul Skipp
- Centre for Proteomic Research, University of Southampton, Southampton, UK
| | - Rachel Carling
- Biochemical Sciences, Synnovis, Guys & St Thomas' NHSFT, London, UK
- GKT School Medical Education, Kings College London, London, UK
| | - Leong Ng
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- van Geest MS-OMICS Facility, University of Leicester, Leicester, UK
| | - Jacqui Shaw
- Department of Genetics and Genome Biology, Leicester Cancer Research Centre, University of Leicester, Leicester, UK
| | - Pankaj Gupta
- The Department of Chemical Pathology and Metabolic Diseases, Leicester Royal Infirmary, University Hospitals of Leicester, Leicester, UK
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Donald J L Jones
- Department of Genetics and Genome Biology, Leicester Cancer Research Centre, University of Leicester, Leicester, UK
- van Geest MS-OMICS Facility, University of Leicester, Leicester, UK
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Jeyaparam S, Agha-Jaffar R, Mullins E, Pinho-Gomes AC, Khunti K, Robinson S. Retrospective cohort study of the association between socioeconomic deprivation and incidence of gestational diabetes and perinatal outcomes. BMC Public Health 2024; 24:184. [PMID: 38225599 PMCID: PMC10790393 DOI: 10.1186/s12889-023-17261-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 11/18/2023] [Indexed: 01/17/2024] Open
Abstract
INTRODUCTION Socioeconomic disparities have been shown to correlate with perinatal mortality and the incidence of type 2 diabetes. Few studies have explored the relationship between deprivation and the incidence of gestational diabetes (GDM). We aimed to identify the relationship between deprivation and incidence of GDM, after adjusting for age, BMI, and ethnicity. We also examined for relationships between deprivation and perinatal outcomes. METHODS A retrospective cohort analysis of 23,490 pregnancies from a major National Health Service Trust in Northwest London was conducted. The 2019 English Indices of Multiple Deprivation was used to identify the deprivation rank and decile for each postcode. Birthweight centile was calculated from absolute birthweight after adjusting for ethnicity, maternal height, maternal weight, parity, sex and outcome (live birth/stillbirth). Logistic regression and Kendall's Tau were used to identify relationships between variables. RESULTS After controlling for age, BMI & ethnicity, Index of Multiple Deprivation postcode decile was not associated with an increased risk of developing gestational diabetes. Each increase in decile of deprivation was associated with an increase in birthweight centile by 0.471 (p < 0.001). After adjusting for confounders, age was associated with a 7.1% increased GDM risk (OR: 1.076, p < 0.001); BMI increased risk by 5.81% (OR: 1.059, p < 0.001). There was no significant correlation between Index of Multiple Deprivation rank and perinatal outcomes. DISCUSSION Our analysis demonstrates that socioeconomic deprivation was not associated with incidence of GDM or adverse perinatal outcomes. Factors such as genetic predisposition and lifestyle habits may likely play a larger role in the development of GDM compared to socioeconomic deprivation alone.
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Affiliation(s)
- Srirangan Jeyaparam
- Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK.
| | - Rochan Agha-Jaffar
- Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
- Department of Metabolic Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Edward Mullins
- Department of Obstetrics & Gynaecology, Imperial College Healthcare NHS Trust, London, UK
- The George Institute for Global Health, London, UK
| | | | | | - Stephen Robinson
- Department of Metabolic Medicine, Imperial College Healthcare NHS Trust, London, UK
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Seidu S, Lawson CA, Kunutsor SK, Khunti K, Rosano GMC. Blood pressure levels and adverse cardiovascular outcomes in heart failure: A systematic review and meta-analysis. Eur J Heart Fail 2024. [PMID: 38214669 DOI: 10.1002/ejhf.3108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 11/28/2023] [Accepted: 12/19/2023] [Indexed: 01/13/2024] Open
Abstract
AIM Existing data on the association between blood pressure levels and adverse cardiovascular outcomes in patients with heart failure (HF) are inconsistent. The optimal blood pressure targets for patients with HF remain uncertain. This study sought to assess the associations between blood pressure (systolic [SBP] and diastolic blood pressure [DBP]) levels and adverse cardiovascular disease (CVD) outcomes in patients with HF. METHODS AND RESULTS A systematic review and meta-analysis were conducted using MEDLINE, Embase, the Cochrane Library, and Web of Science databases up to 5 May 2023. The outcomes of interest included adverse cardiovascular events and all-cause mortality. Pooled relative risks (RRs) with corresponding 95% confidence intervals (CIs) were calculated. Forty-three unique observational cohort studies, comprising 120 643 participants with HF, were included. The pooled RRs (95% CIs) for SBP thresholds of ≥140 mmHg versus <140 mmHg were 0.92 (0.83-1.01) for all-cause mortality, 0.83 (0.67-1.04) for CVD death, and 0.98 (0.80-1.21) for HF hospitalization. The pooled RR (95% CI) for SBP thresholds of ≥160 mmHg versus <160 mmHg and all-cause mortality was 0.67 (0.62-0.74). SBP levels below <130, <120, and <110 mmHg were each associated with an increased risk of various cardiovascular endpoints and all-cause mortality. The pooled RR (95% CI) for DBP thresholds of ≥80 mmHg versus <80 mmHg and all-cause mortality was 0.86 (0.67-1.10). A 10 mmHg increase in SBP or DBP was associated with a reduction in all-cause mortality and other cardiovascular endpoints. CONCLUSIONS The findings suggest that lower and normal baseline SBP levels (<130, <120, and <110 mmHg) may be associated with future risk of worse outcomes in patients with HF. Optimal baseline blood pressure levels for these patients may lie within the range of ≥140 mmHg for SBP. In the absence of observational studies with repeated blood pressure measurements or definitive trials evaluating optimal blood pressure targets, individualized blood pressure targets based on patients' unique circumstances are warranted in HF management.
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Affiliation(s)
- Samuel Seidu
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Claire A Lawson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Setor K Kunutsor
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Das SR, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Kosiborod MN, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S179-S218. [PMID: 38078592 PMCID: PMC10725811 DOI: 10.2337/dc24-s010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 11. Chronic Kidney Disease and Risk Management: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S219-S230. [PMID: 38078574 PMCID: PMC10725805 DOI: 10.2337/dc24-s011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Gaglia JL, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S158-S178. [PMID: 38078590 PMCID: PMC10725810 DOI: 10.2337/dc24-s009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Galindo RJ, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 16. Diabetes Care in the Hospital: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S295-S306. [PMID: 38078585 PMCID: PMC10725815 DOI: 10.2337/dc24-s016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 13. Older Adults: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S244-S257. [PMID: 38078580 PMCID: PMC10725804 DOI: 10.2337/dc24-s013] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Zaccardi F, Ling S, Brown K, Davies M, Khunti K. Response to Comment on Zaccardi et al. Duration of Type 2 Diabetes and Incidence of Cancer: An Observational Study in England. Diabetes Care 2023;46:1923-1930. Diabetes Care 2024; 47:e7-e8. [PMID: 38117992 DOI: 10.2337/dci23-0082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Affiliation(s)
- Francesco Zaccardi
- Leicester Real World Evidence Unit, Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, U.K
- Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, U.K
| | - Suping Ling
- Inequalities in Cancer Outcomes Network Group, Department of Noncommunicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, U.K
| | - Karen Brown
- Leicester Cancer Research Centre, Leicester Royal Infirmary, University of Leicester, Leicester, U.K
| | - Melanie Davies
- Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, U.K
- National Institute for Health and Care Research, Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester, U.K
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, U.K
- Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, U.K
- National Institute for Health and Care Research, Applied Research Collaboration East Midlands, University of Leicester, Leicester, U.K
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ElSayed NA, Aleppo G, Bannuru RR, Beverly EA, Bruemmer D, Collins BS, Darville A, Ekhlaspour L, Hassanein M, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S77-S110. [PMID: 38078584 PMCID: PMC10725816 DOI: 10.2337/dc24-s005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Bannuru RR, Beverly EA, Bruemmer D, Collins BS, Cusi K, Darville A, Das SR, Ekhlaspour L, Fleming TK, Gaglia JL, Galindo RJ, Gibbons CH, Giurini JM, Hassanein M, Hilliard ME, Johnson EL, Khunti K, Kosiborod MN, Kushner RF, Lingvay I, Matfin G, McCoy RG, Murdock L, Napoli N, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Selvin E, Silva PS, Stanton RC, Verduzco-Gutierrez M, Woodward CC, Younossi ZM, Gabbay RA. Introduction and Methodology: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S1-S4. [PMID: 38078587 PMCID: PMC10725799 DOI: 10.2337/dc24-sint] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Murdock L, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Woodward CC, Gabbay RA. 17. Diabetes Advocacy: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S307-S308. [PMID: 38078588 PMCID: PMC10725796 DOI: 10.2337/dc24-s017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S126-S144. [PMID: 38078575 PMCID: PMC10725813 DOI: 10.2337/dc24-s007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Gaglia JL, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Selvin E, Stanton RC, Gabbay RA. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S20-S42. [PMID: 38078589 PMCID: PMC10725812 DOI: 10.2337/dc24-s002] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 14. Children and Adolescents: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S258-S281. [PMID: 38078582 PMCID: PMC10725814 DOI: 10.2337/dc24-s014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Cusi K, Ekhlaspour L, Fleming TK, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Napoli N, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Verduzco-Gutierrez M, Younossi ZM, Gabbay RA. 4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S52-S76. [PMID: 38078591 PMCID: PMC10725809 DOI: 10.2337/dc24-s004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Bannuru RR, Beverly EA, Bruemmer D, Collins BS, Cusi K, Darville A, Das SR, Ekhlaspour L, Fleming TK, Gaglia JL, Galindo RJ, Gibbons CH, Giurini JM, Hassanein M, Hilliard ME, Johnson EL, Khunti K, Kosiborod MN, Kushner RF, Lingvay I, Matfin G, McCoy RG, Murdock L, Napoli N, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Selvin E, Silva PS, Stanton RC, Verduzco-Gutierrez M, Woodward CC, Younossi ZM, Gabbay RA. Summary of Revisions: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S5-S10. [PMID: 38078579 PMCID: PMC10725800 DOI: 10.2337/dc24-srev] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 15. Management of Diabetes in Pregnancy: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S282-S294. [PMID: 38078583 PMCID: PMC10725801 DOI: 10.2337/dc24-s015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Routen A, Khunti K. Long-term outcomes in hospitalised COVID-19 survivors and future research priorities. Lancet Respir Med 2024; 12:7-8. [PMID: 38000377 DOI: 10.1016/s2213-2600(23)00410-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 10/26/2023] [Indexed: 11/26/2023]
Affiliation(s)
- Ash Routen
- Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK.
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, University of Leicester, Leicester LE5 4PW, UK
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