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Meeraus W, Joy M, Ouwens M, Taylor KS, Venkatesan S, Dennis J, Tran TN, Dashtban A, Fan X, Williams R, Morris T, Carty L, Kar D, Hoang U, Feher M, Forbes A, Jamie G, Hinton W, Sanecka K, Byford R, Anand SN, Hobbs FDR, Clifton DA, Pollard AJ, Taylor S, de Lusignan S. AZD1222 effectiveness against severe COVID-19 in individuals with comorbidity or frailty: The RAVEN cohort study. J Infect 2024; 88:106129. [PMID: 38431156 DOI: 10.1016/j.jinf.2024.106129] [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: 09/20/2023] [Revised: 11/27/2023] [Accepted: 02/22/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVES Despite being prioritized during initial COVID-19 vaccine rollout, vulnerable individuals at high risk of severe COVID-19 (hospitalization, intensive care unit admission, or death) remain underrepresented in vaccine effectiveness (VE) studies. The RAVEN cohort study (NCT05047822) assessed AZD1222 (ChAdOx1 nCov-19) two-dose primary series VE in vulnerable populations. METHODS Using the Oxford-Royal College of General Practitioners Clinical Informatics Digital Hub, linked to secondary care, death registration, and COVID-19 datasets in England, COVID-19 outcomes in 2021 were compared in vaccinated and unvaccinated individuals matched on age, sex, region, and multimorbidity. RESULTS Over 4.5 million AZD1222 recipients were matched (mean follow-up ∼5 months); 68% were ≥50 years, 57% had high multimorbidity. Overall, high VE against severe COVID-19 was demonstrated, with lower VE observed in vulnerable populations. VE against hospitalization was higher in the lowest multimorbidity quartile (91.1%; 95% CI: 90.1, 92.0) than the highest quartile (80.4%; 79.7, 81.1), and among individuals ≥65 years, higher in the 'fit' (86.2%; 84.5, 87.6) than the frailest (71.8%; 69.3, 74.2). VE against hospitalization was lowest in immunosuppressed individuals (64.6%; 60.7, 68.1). CONCLUSIONS Based on integrated and comprehensive UK health data, overall population-level VE with AZD1222 was high. VEs were notably lower in vulnerable groups, particularly the immunosuppressed.
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Affiliation(s)
- Wilhelmine Meeraus
- Medical Evidence, Vaccines & Immune Therapies, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK
| | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Mario Ouwens
- Medical & Payer Evidence Statistics, BioPharmaceuticals Medical, AstraZeneca, Mölndal, Sweden
| | - Kathryn S Taylor
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Sudhir Venkatesan
- Medical & Payer Evidence Statistics, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK
| | | | - Trung N Tran
- Biopharmaceutical Medicine Respiratory and Immunology, AstraZeneca, Gaithersburg, MD, USA
| | - Ashkan Dashtban
- Institute of Health Informatics, University College London, London, UK
| | - Xuejuan Fan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Robert Williams
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Tamsin Morris
- Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca, London, UK
| | - Lucy Carty
- Medical & Payer Evidence Statistics, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK
| | - Debasish Kar
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Uy Hoang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Michael Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Anna Forbes
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Gavin Jamie
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Kornelia Sanecka
- Medical Evidence, Vaccines & Immune Therapies, BioPharmaceuticals Medical, AstraZeneca, Warsaw, Poland
| | - Rachel Byford
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Sneha N Anand
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - F D Richard Hobbs
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - David A Clifton
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Andrew J Pollard
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Sylvia Taylor
- Medical Evidence, Vaccines & Immune Therapies, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK; Royal College of General Practitioners Research and Surveillance Centre, London, UK.
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Forbes AK, Hinton W, Feher MD, Elson W, Ordóñez-Mena JM, Joy M, Fan X, Banerjee D, Cole NI, Munro N, Whyte M, Suckling RJ, Swift PA, de Lusignan S. A Comparison of Sodium-Glucose Co-Transporter 2 Inhibitor Kidney Outcome Trial Participants with a Real-World Chronic Kidney Disease Primary Care Population. Nephrol Dial Transplant 2024:gfae071. [PMID: 38520170 DOI: 10.1093/ndt/gfae071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND/HYPOTHESIS Observational studies suggest sodium-glucose co-transporter-2 (SGLT2) inhibitor kidney outcome trials are not representative of the broader population of people with chronic kidney disease (CKD). However, there are limited data on the generalisability to those without co-existing type 2 diabetes (T2D), and the representativeness of the EMPA-KIDNEY trial has not been adequately explored. We hypothesised that SGLT2 inhibitor kidney outcome trials are more representative of people with co-existing T2D than those without, and that EMPA-KIDNEY is more representative than previous trials. METHODS A cross-sectional analysis of adults with CKD in English primary care was conducted using the Oxford-Royal College of General Practitioners Clinical Information Digital Hub. The proportions that met the eligibility criteria of SGLT2 inhibitor kidney outcome trials were determined, and their characteristics described. Logistic regression analyses were performed to identify factors associated with trial eligibility. RESULTS Of 6,670,829 adults, 516,491 (7.7%) with CKD were identified. In the real-world CKD population, 0.9%, 2.2%, and 8.0% met the CREDENCE, DAPA-CKD, and EMPA-KIDNEY eligibility criteria, respectively. All trials were more representative of people with co-existing T2D than those without T2D. Trial participants were 9-14 years younger than the real-world CKD population, and had more advanced CKD, including higher levels of albuminuria. A higher proportion of the CREDENCE (100%), DAPA-CKD (67.6%) and EMPA-KIDNEY (44.5%) trial participants had T2D compared to the real-world CKD population (32.8%). Renin-angiotensin system inhibitors were prescribed in almost all trial participants, compared to less than half of the real-world CKD population. Females were under-represented and less likely to be eligible for the trials. CONCLUSION SGLT2 inhibitor kidney outcome trials represent a sub-group of people with CKD at high risk of adverse kidney events. Out study highlights the importance of complementing trials with real-world studies, exploring the effectiveness of SGLT2 inhibitors in the broader population of people with CKD.
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Affiliation(s)
- Anna K Forbes
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, United Kingdom
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | - Michael D Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William Elson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - José M Ordóñez-Mena
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Xuejuan Fan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Debasish Banerjee
- Renal & Transplantation Unit, St George's University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Nicholas I Cole
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, United Kingdom
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | - Martin Whyte
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | - Rebecca J Suckling
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, United Kingdom
| | - Pauline A Swift
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, United Kingdom
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK
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Forbes AK, Hinton W, Feher MD, Elson W, Joy M, Ordóñez-Mena JM, Fan X, Cole NI, Banerjee D, Suckling RJ, de Lusignan S, Swift PA. Implementation of chronic kidney disease guidelines for sodium-glucose co-transporter-2 inhibitor use in primary care in the UK: a cross-sectional study. EClinicalMedicine 2024; 68:102426. [PMID: 38304744 PMCID: PMC10831804 DOI: 10.1016/j.eclinm.2024.102426] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/28/2023] [Accepted: 01/04/2024] [Indexed: 02/03/2024] Open
Abstract
Background The cardiovascular and kidney benefits of sodium-glucose co-transporter-2 (SGLT2) inhibitors in people with chronic kidney disease (CKD) are well established. The implementation of updated SGLT2 inhibitor guidelines and prescribing in the real-world CKD population remains largely unknown. Methods A cross-sectional study of adults with CKD registered with UK primary care practices in the Oxford-Royal College of General Practitioners Research and Surveillance Centre network on the 31st December 2022 was undertaken. Pseudonymised data from electronic health records held securely within the Oxford-Royal College of General Practitioners Clinical Informatics Digital Hub (ORCHID) were extracted. An update to a previously described ontological approach was used to identify the study population, using a combination of Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) indicating a diagnosis of CKD and laboratory confirmed CKD based on Kidney Disease: Improving Global Outcomes (KDIGO) diagnostic criteria. We examined the extent to which SGLT2 inhibitor guidelines apply to and are then implemented in adults with CKD. A logistic regression model was used to identify factors associated with SGLT2 inhibitor prescribing, reported as odds ratios (ORs) with 95% confidence intervals (CI). The four guidelines under investigation were the United Kingdom Kidney Association (UKKA) Clinical Practice Guideline SGLT2 Inhibition in Adults with Kidney Disease (October 2021), American Diabetes Association (ADA) and KDIGO Consensus Report on Diabetes Management in CKD (October 2022), National Institute for Health and Care Excellence (NICE) Guideline Type 2 Diabetes in Adults: Management (June 2022), and NICE Technology Appraisal Dapagliflozin for Treating CKD (March 2022). Findings Of 6,670,829 adults, we identified 516,491 (7.7%) with CKD, including 32.8% (n = 169,443) who had co-existing type 2 diabetes (T2D). 26.8% (n = 138,183) of the overall CKD population had a guideline directed indication for SGLT2 inhibitor treatment. A higher proportion of people with CKD and co-existing T2D were indicated for treatment, compared to those without T2D (62.8% [n = 106,468] vs. 9.1% [n = 31,715]). SGLT2 inhibitors were prescribed to 17.0% (n = 23,466) of those with an indication for treatment, and prescriptions were predominantly in those with co-existing T2D; 22.0% (n = 23,464) in those with T2D, and <0.1% (n = 2) in those without T2D. In adjusted multivariable analysis of people with CKD and T2D, females (OR 0.69, 95% CI 0.67-0.72, p <0.0001), individuals of Black ethnicity (OR 0.84, 95% CI 0.77-0.91, p <0.0001) and those of lower socio-economic status (OR 0.72, 95% CI 0.68-0.76, p <0.0001) were less likely to be prescribed an SGLT2 inhibitor. Those with an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 had a lower likelihood of receiving an SGLT2 inhibitor, compared to those with an eGFR ≥60 mL/min/1.73 m2 (eGFR 45-60 mL/min/1.73 m2 OR 0.65, 95% CI 0.62-0.68, p <0.0001, eGFR 30-45 mL/min/1.73 m2 OR 0.73, 95% CI 0.69-0.78, p <0.0001, eGFR 15-30 mL/min/1.73 m2 OR 0.52, 95% CI 0.46-0.60, p <0.0001, eGFR <15 mL/min/1.73 m2 OR 0.03, 95% CI 0.00-0.23, p = 0.0037, respectively). Those with albuminuria (urine albumin-to-creatinine ratio 3-30 mg/mmol) were less likely to be prescribed an SGLT2 inhibitor, compared to those without albuminuria (OR 0.78, 95% CI 0.75-0.82, p <0.0001). Interpretation SGLT2 inhibitor guidelines in CKD have not yet been successfully implemented into clinical practice, most notably in those without co-existing T2D. Individuals at higher risk of adverse outcomes are paradoxically less likely to receive SGLT2 inhibitor treatment. The timeframe between the publication of guidelines and data extraction may have been too short to observe changes in clinical practice. Enhanced efforts to embed SGLT2 inhibitors equitably into routine care for people with CKD are urgently needed, particularly in those at highest risk of adverse outcomes and in the absence of T2D. Funding None.
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Affiliation(s)
- Anna K. Forbes
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, United Kingdom
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Michael D. Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William Elson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - José M. Ordóñez-Mena
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Xuejuan Fan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Nicholas I. Cole
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, United Kingdom
| | - Debasish Banerjee
- Renal & Transplantation Unit, St George's University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Rebecca J. Suckling
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, United Kingdom
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Pauline A. Swift
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, United Kingdom
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Tsang RS, Agrawal U, Joy M, Byford R, Robertson C, Anand SN, Hinton W, Mayor N, Kar D, Williams J, Victor W, Akbari A, Bradley DT, Murphy S, O'Reilly D, Owen RK, Chuter A, Beggs J, Howsam G, Sheikh A, Richard Hobbs FD, Lusignan SD. Adverse events after first and second doses of COVID-19 vaccination in England: a national vaccine surveillance platform self-controlled case series study. J R Soc Med 2023:1410768231205430. [PMID: 37921538 DOI: 10.1177/01410768231205430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023] Open
Abstract
OBJECTIVES To estimate the incidence of adverse events of interest (AEIs) after receiving their first and second doses of coronavirus disease 2019 (COVID-19) vaccinations, and to report the safety profile differences between the different COVID-19 vaccines. DESIGN We used a self-controlled case series design to estimate the relative incidence (RI) of AEIs reported to the Oxford-Royal College of General Practitioners national sentinel network. We compared the AEIs that occurred seven days before and after receiving the COVID-19 vaccinations to background levels between 1 October 2020 and 12 September 2021. SETTING England, UK. PARTICIPANTS Individuals experiencing AEIs after receiving first and second doses of COVID-19 vaccines. MAIN OUTCOME MEASURES AEIs determined based on events reported in clinical trials and in primary care during post-license surveillance. RESULTS A total of 7,952,861 individuals were vaccinated with COVID-19 vaccines within the study period. Among them, 781,200 individuals (9.82%) presented to general practice with 1,482,273 AEIs. Within the first seven days post-vaccination, 4.85% of all the AEIs were reported. There was a 3-7% decrease in the overall RI of AEIs in the seven days after receiving both doses of Pfizer-BioNTech BNT162b2 (RI = 0.93; 95% CI: 0.91-0.94) and 0.96; 95% CI: 0.94-0.98), respectively) and Oxford-AstraZeneca ChAdOx1 (RI = 0.97; 95% CI: 0.95-0.98) for both doses), but a 20% increase after receiving the first dose of Moderna mRNA-1273 (RI = 1.20; 95% CI: 1.00-1.44)). CONCLUSIONS COVID-19 vaccines are associated with a small decrease in the incidence of medically attended AEIs. Sentinel networks could routinely report common AEI rates, which could contribute to reporting vaccine safety.
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Affiliation(s)
- Ruby Sm Tsang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK
| | - Utkarsh Agrawal
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK
| | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK
| | - Rachel Byford
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK
| | - Chris Robertson
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, G1 1XH, UK
- Public Health Scotland, Glasgow, G2 6QE, UK
| | - Sneha N Anand
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK
| | - Nikhil Mayor
- Royal Surrey NHS Foundation Trust, Guildford, GU2 7XX, UK
| | - Debasish Kar
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK
| | - John Williams
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK
| | - William Victor
- Royal College of General Practitioners, London, NW1 2FB, UK
| | - Ashley Akbari
- Population Data Science, Swansea University Medical School, Swansea University, Swansea, SA2 8QA, UK
| | - Declan T Bradley
- Centre for Public Health, Queen's University Belfast, Belfast, BT12 6BA, UK
- Public Health Agency, Belfast, BT2 8BS, UK
| | - Siobhan Murphy
- Centre for Public Health, Queen's University Belfast, Belfast, BT12 6BA, UK
| | - Dermot O'Reilly
- Centre for Public Health, Queen's University Belfast, Belfast, BT12 6BA, UK
| | - Rhiannon K Owen
- Population Data Science, Swansea University Medical School, Swansea University, Swansea, SA2 8QA, UK
| | - Antony Chuter
- BREATHE - The Health Data Research Hub for Respiratory Health, Edinburgh, EH16 4SS, UK
| | - Jillian Beggs
- BREATHE - The Health Data Research Hub for Respiratory Health, Edinburgh, EH16 4SS, UK
| | - Gary Howsam
- Royal College of General Practitioners, London, NW1 2FB, UK
| | - Aziz Sheikh
- Usher Institute, University of Edinburgh, Edinburgh, EH16 4SS, UK
| | - F D Richard Hobbs
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, G1 1XH, UK
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Meza-Torres B, Forbes A, Elson W, Kar D, Jamie G, Hinton W, Fan X, Byford R, Feher M, Whyte M, Joy M, de Lusignan S. Hepatitis A Vaccination Coverage Among People With Chronic Liver Disease in England (HEALD): Protocol for a Retrospective Cohort Study. JMIR Res Protoc 2023; 12:e51861. [PMID: 37874614 PMCID: PMC10630863 DOI: 10.2196/51861] [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: 08/15/2023] [Revised: 08/31/2023] [Accepted: 09/05/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Hepatitis A outbreaks in the United Kingdom are uncommon. Most people develop mild to moderate symptoms that resolve, without sequelae, within months. However, in high-risk groups, including those with underlying chronic liver disease (CLD), hepatitis A infection can be severe, with a higher risk of mortality and morbidity. The Health Security Agency and the National Institute of Health and Care Excellence recommend preexposure hepatitis A vaccination given in 2 doses to people with CLD, regardless of its cause. There are currently no published reports of vaccination coverage for people with CLD in England or internationally. OBJECTIVE This study aims to describe hepatitis A vaccination coverage in adults with CLD in a UK primary care setting and compare liver disease etiology, sociodemographic characteristics, and comorbidities in people who are and are not exposed to the hepatitis A vaccine. METHODS We will conduct a retrospective cohort study with data from the Primary Care Sentinel Cohort of the Oxford-Royal College of General Practitioners Clinical Informatics Digital Hub database, which is nationally representative of the English population. We will include people aged 18 years and older who have been registered in general practices in the Research and Surveillance Centre network and have a record of CLD between January 1, 2012, and December 31, 2022, including those with alcohol-related liver disease, chronic hepatitis B, chronic hepatitis C, nonalcohol fatty liver disease, Wilson disease, hemochromatosis, and autoimmune hepatitis. We will carefully curate variables using the Systematized Nomenclature of Medicine Clinical Terms. We will report the sociodemographic characteristics of those who are vaccinated. These include age, gender, ethnicity, population density, region, socioeconomic status (measured using the index of multiple deprivation), obesity, alcohol consumption, and smoking. Hepatitis A vaccination coverage for 1 and 2 doses will be calculated using an estimate of the CLD population as the denominator. We will analyze the baseline characteristics using descriptive statistics, including measures of dispersion. Pairwise comparisons of case-mix characteristics, comorbidities, and complications will be reported according to vaccination status. A multistate survival model will be fitted to estimate the transition probabilities among four states: (1) diagnosed with CLD, (2) first dose of hepatitis A vaccination, (3) second dose of hepatitis A vaccination, and (4) death. This will identify any potential disparities in how people with CLD get vaccinated. RESULTS The Research and Surveillance Centre population comprises over 8 million people. The reported incidence of CLD is 20.7 cases per 100,000. International estimates of hepatitis A vaccine coverage vary between 10% and 50% in this group. CONCLUSIONS This study will describe the uptake of the hepatitis A vaccine in people with CLD and report any disparities or differences in the characteristics of the vaccinated population. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/51861.
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Affiliation(s)
- Bernardo Meza-Torres
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Anna Forbes
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William Elson
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Debasish Kar
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Gavin Jamie
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William Hinton
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Xuejuan Fan
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Rachel Byford
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Michael Feher
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Martin Whyte
- School of Biosciences and Medicine, University of Surrey, Guildford, United Kingdom
| | - Mark Joy
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Simon de Lusignan
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Royal College of General Practitioners, Research and Surveillance Centre, London, United Kingdom
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6
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Forbes AK, Suckling RJ, Hinton W, Feher MD, Banerjee D, Cole NI, de Lusignan S, Swift PA. Sodium-glucose cotransporter-2 inhibitors and kidney outcomes in real-world type 2 diabetes populations: A systematic review and meta-analysis of observational studies. Diabetes Obes Metab 2023. [PMID: 37202870 DOI: 10.1111/dom.15111] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/19/2023] [Accepted: 04/23/2023] [Indexed: 05/20/2023]
Abstract
AIM To conduct a systematic review of observational studies to explore the real-world kidney benefits of sodium-glucose cotransporter-2 (SGLT2) inhibitors in a large and diverse population of adults with type 2 diabetes (T2D). MATERIALS AND METHODS We searched MEDLINE, EMBASE and Web of Science for observational studies that investigated kidney disease progression in adults with T2D treated with SGLT2 inhibitors compared to other glucose-lowering therapies. Studies published from database inception to July 2022 were independently reviewed by two authors and evaluated using the Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I) tool. A random-effects meta-analysis was performed on studies with comparable outcome data, reported as hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS We identified 34 studies performed across 15 countries with a total population of 1 494 373 for inclusion. In the meta-analysis of 20 studies, SGLT2 inhibitors were associated with a 46% lower risk of kidney failure events compared with other glucose-lowering drugs (HR 0.54, 95% CI 0.47-0.63). This finding was consistent across multiple sensitivity analyses and was independent of baseline estimated glomerular filtration rate (eGFR) or albuminuria status. SGLT2 inhibitors were associated with a lower risk of kidney failure when compared with dipeptidyl peptidase-4 inhibitors and a combination of other glucose-lowering drug classes (HR 0.50, 95% CI 0.38-0.67 and HR 0.51, 95% CI 0.44-0.59, respectively). However, when compared to glucagon-like peptide 1 receptor agonists there was no statistically significant difference in the risk of kidney failure (HR 0.93, 95% CI 0.80-1.09). CONCLUSIONS The reno-protective benefits of SGLT2 inhibitors apply to a broad population of adults with T2D treated in routine clinical practice, including those at lower risk of kidney events with normal eGFR and without albuminuria. These findings support the early use of SGLT2 inhibitors in T2D for preservation of kidney health.
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Affiliation(s)
- Anna K Forbes
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, UK
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Rebecca J Suckling
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, UK
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Michael D Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Debasish Banerjee
- Renal & Transplantation Unit, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Nicholas I Cole
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Pauline A Swift
- Renal Services, Epsom & St. Helier University Hospitals NHS Trust, London, UK
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7
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Hinton W, Ansari AS, Whyte MB, McGovern AP, Feher MD, Munro N, de Lusignan S. Sodium-glucose co-transporter-2 inhibitors in type 2 diabetes: Are clinical trial benefits for heart failure reflected in real-world clinical practice? A systematic review and meta-analysis of observational studies. Diabetes Obes Metab 2023; 25:501-515. [PMID: 36239122 DOI: 10.1111/dom.14893] [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: 03/22/2022] [Revised: 10/11/2022] [Accepted: 10/12/2022] [Indexed: 02/02/2023]
Abstract
AIM To determine the absolute risk reduction (ARR) of heart failure events in people treated with sodium-glucose co-transporter-2 (SGLT2) inhibitors. MATERIALS AND METHODS We searched PubMed, EMBASE, CINAHL and ISI Web of Science for observational studies published to 9 May 2022 that explored the association between SGLT2 inhibitors and any indication for heart failure (including new diagnosis or hospitalization for heart failure) in type 2 diabetes. Identified studies were independently screened by two reviewers and assessed for bias using the Newcastle-Ottawa scale. Eligible studies with comparable outcome data were pooled for meta-analysis using random-effects models, reporting hazard ratios (HRs) with 95% confidence intervals (CIs). The ARR per 100 person-years was determined overall, and in subgroups with and without baseline cardiovascular disease (CVD). RESULTS From 43 eligible studies, with a total of 4 818 242 participants from 17 countries, 21 were included for meta-analysis. SGLT2 inhibitors were associated with a reduced risk of hospitalization for heart failure (HR 0.65, 95% CI 0.59-0.72) overall and both in those with CVD (HR 0.78, 95% CI 0.68-0.89) and without CVD (HR 0.53, 95% CI 0.39-0.71). Risk reduction for hospitalization for heart failure in people with a history of CVD (ARR 1.17, 95% CI 0.78-1.55) was significantly greater than for those without CVD (ARR 0.39, 95% CI 0.32-0.47). The number-needed-to-treat to prevent one event of hospitalization for heart failure was 86 (95% CI 65-128) person-years of treatment for the CVD group and 256 (95% CI 215-316) person-years for those without CVD. CONCLUSIONS Real-world SGLT2 inhibitor use supports randomized trial data for the size effect of reduced hospitalization for heart failure in type 2 diabetes, although with a much lower ARR in people without CVD.
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Affiliation(s)
- William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Abdus Samad Ansari
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Martin B Whyte
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Andrew P McGovern
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Michael D Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK
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8
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Tsang RSM, Joy M, Byford R, Robertson C, Anand SN, Hinton W, Mayor N, Kar D, Williams J, Victor W, Akbari A, Bradley DT, Murphy S, O’Reilly D, Owen RK, Chuter A, Beggs J, Howsam G, Sheikh A, Hobbs FDR, de Lusignan S. Adverse events following first and second dose COVID-19 vaccination in England, October 2020 to September 2021: a national vaccine surveillance platform self-controlled case series study. Euro Surveill 2023; 28:2200195. [PMID: 36695484 PMCID: PMC9853944 DOI: 10.2807/1560-7917.es.2023.28.3.2200195] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
BackgroundPost-authorisation vaccine safety surveillance is well established for reporting common adverse events of interest (AEIs) following influenza vaccines, but not for COVID-19 vaccines.AimTo estimate the incidence of AEIs presenting to primary care following COVID-19 vaccination in England, and report safety profile differences between vaccine brands.MethodsWe used a self-controlled case series design to estimate relative incidence (RI) of AEIs reported to the national sentinel network, the Oxford-Royal College of General Practitioners Clinical Informatics Digital Hub. We compared AEIs (overall and by clinical category) 7 days pre- and post-vaccination to background levels between 1 October 2020 and 12 September 2021.ResultsWithin 7,952,861 records, 781,200 individuals (9.82%) presented to general practice with 1,482,273 AEIs, 4.85% within 7 days post-vaccination. Overall, medically attended AEIs decreased post-vaccination against background levels. There was a 3-7% decrease in incidence within 7 days after both doses of Comirnaty (RI: 0.93; 95% CI: 0.91-0.94 and RI: 0.96; 95% CI: 0.94-0.98, respectively) and Vaxzevria (RI: 0.97; 95% CI: 0.95-0.98). A 20% increase was observed after one dose of Spikevax (RI: 1.20; 95% CI: 1.00-1.44). Fewer AEIs were reported as age increased. Types of AEIs, e.g. increased neurological and psychiatric conditions, varied between brands following two doses of Comirnaty (RI: 1.41; 95% CI: 1.28-1.56) and Vaxzevria (RI: 1.07; 95% CI: 0.97-1.78).ConclusionCOVID-19 vaccines are associated with a small decrease in medically attended AEI incidence. Sentinel networks could routinely report common AEI rates, contributing to reporting vaccine safety.
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Affiliation(s)
- Ruby SM Tsang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Rachel Byford
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Chris Robertson
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, United Kingdom,Public Health Scotland, Glasgow, United Kingdom
| | - Sneha N Anand
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Nikhil Mayor
- Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom
| | - Debasish Kar
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - John Williams
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William Victor
- Royal College of General Practitioners, London, United Kingdom
| | - Ashley Akbari
- Population Data Science, Swansea University Medical School, Swansea University, United Kingdom
| | - Declan T Bradley
- Centre for Public Health, Queen’s University Belfast, Belfast, United Kingdom,Public Health Agency, Belfast, United Kingdom
| | - Siobhan Murphy
- Centre for Public Health, Queen’s University Belfast, Belfast, United Kingdom
| | - Dermot O’Reilly
- Centre for Public Health, Queen’s University Belfast, Belfast, United Kingdom
| | - Rhiannon K Owen
- Population Data Science, Swansea University Medical School, Swansea University, United Kingdom
| | - Antony Chuter
- BREATHE – The Health Data Research Hub for Respiratory Health, Edinburgh, United Kingdom
| | - Jillian Beggs
- BREATHE – The Health Data Research Hub for Respiratory Health, Edinburgh, United Kingdom
| | - Gary Howsam
- Royal College of General Practitioners, London, United Kingdom
| | - Aziz Sheikh
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - FD Richard Hobbs
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom,Royal College of General Practitioners, London, United Kingdom
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9
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Dambha-Miller H, Hinton W, Wilcox CR, Joy M, Feher M, de Lusignan S. Mortality in COVID-19 among women on hormone replacement therapy: a retrospective cohort study. Fam Pract 2022; 39:1049-1055. [PMID: 35577349 PMCID: PMC9129218 DOI: 10.1093/fampra/cmac041] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Limited recent observational data have suggested that there may be a protective effect of oestrogen on the severity of COVID-19 disease. Our aim was to investigate the association between hormone replacement therapy (HRT) or combined oral contraceptive pill (COCP) use and the likelihood of death in women with COVID-19. METHODS We undertook a retrospective cohort study using routinely collected computerized medical records from the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) primary care database. We identified a cohort of 1,863,478 women over 18 years of age from 465 general practices in England. Mixed-effects logistic regression models were used to quantify the association between HRT or COCP use and all-cause mortality among women diagnosed with confirmed or suspected COVID-19 in unadjusted and adjusted models. RESULTS There were 5,451 COVID-19 cases within the cohort. HRT was associated with a reduction in all-cause mortality in COVID-19 (adjusted OR 0.22, 95% CI 0.05 to 0.94). There were no reported events for all-cause mortality in women prescribed COCPs. This prevented further examination of the impact of COCP. CONCLUSIONS We found that HRT prescription within 6 months of a recorded diagnosis of COVID-19 infection was associated with a reduction in all-cause mortality. Further work is needed in larger cohorts to examine the association of COCP in COVID-19, and to further investigate the hypothesis that oestrogens may contribute a protective effect against COVID-19 severity.
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Affiliation(s)
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | | | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Michael Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.,Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK
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10
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Lemanska A, Price CA, Jeffreys N, Byford R, Dambha-Miller H, Fan X, Hinton W, Otter S, Rice R, Stunt A, Whyte MB, Faithfull S, de Lusignan S. BMI and HbA1c are metabolic markers for pancreatic cancer: Matched case-control study using a UK primary care database. PLoS One 2022; 17:e0275369. [PMID: 36197912 PMCID: PMC9534412 DOI: 10.1371/journal.pone.0275369] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 09/15/2022] [Indexed: 11/07/2022] Open
Abstract
Background Weight loss, hyperglycaemia and diabetes are known features of pancreatic cancer. We quantified the timing and the amount of changes in body mass index (BMI) and glycated haemoglobin (HbA1c), and their association with pancreatic cancer from five years before diagnosis. Methods A matched case-control study was undertaken within 590 primary care practices in England, United Kingdom. 8,777 patients diagnosed with pancreatic cancer (cases) between 1st January 2007 and 31st August 2020 were matched to 34,979 controls by age, gender and diabetes. Longitudinal trends in BMI and HbA1c were visualised. Odds ratios adjusted for demographic and lifestyle factors (aOR) and 95% confidence intervals (CI) were calculated with conditional logistic regression. Subgroup analyses were undertaken according to the diabetes status. Results Changes in BMI and HbA1c observed for cases on longitudinal plots started one and two years (respectively) before diagnosis. In the year before diagnosis, a 1 kg/m2 decrease in BMI between cases and controls was associated with aOR for pancreatic cancer of 1.05 (95% CI 1.05 to 1.06), and a 1 mmol/mol increase in HbA1c was associated with aOR of 1.06 (1.06 to 1.07). ORs remained statistically significant (p < 0.001) for 2 years before pancreatic cancer diagnosis for BMI and 3 years for HbA1c. Subgroup analysis revealed that the decrease in BMI was associated with a higher pancreatic cancer risk for people with diabetes than for people without (aORs 1.08, 1.06 to 1.09 versus 1.04, 1.03 to 1.05), but the increase in HbA1c was associated with a higher risk for people without diabetes than for people with diabetes (aORs 1.09, 1.07 to 1.11 versus 1.04, 1.03 to 1.04). Conclusions The statistically significant changes in weight and glycaemic control started three years before pancreatic cancer diagnosis but varied according to the diabetes status. The information from this study could be used to detect pancreatic cancer earlier than is currently achieved. However, regular BMI and HbA1c measurements are required to facilitate future research and implementation in clinical practice.
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Affiliation(s)
- Agnieszka Lemanska
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- * E-mail:
| | - Claire A. Price
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Nathan Jeffreys
- Royal Surrey NHS Foundation Trust, Guildford, United Kingdom
| | - Rachel Byford
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Hajira Dambha-Miller
- Primary Care Research Centre, University of Southampton, Southampton, United Kingdom
| | - Xuejuan Fan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Sophie Otter
- Royal Surrey NHS Foundation Trust, Guildford, United Kingdom
| | - Rebecca Rice
- Barnardo’s, Barkingside, Ilford, Essex, London, United Kingdom
| | - Ali Stunt
- Pancreatic Cancer Action, London, United Kingdom
| | - Martin B. Whyte
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Sara Faithfull
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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11
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de Lusignan S, McGovern A, Hinton W, Whyte M, Munro N, Williams ED, Marcu A, Williams J, Ferreira F, Mount J, Tripathy M, Konstantara E, Field BCT, Feher M. Barriers and Facilitators to the Initiation of Injectable Therapies for Type 2 Diabetes Mellitus: A Mixed Methods Study. Diabetes Ther 2022; 13:1789-1809. [PMID: 36050586 PMCID: PMC9500132 DOI: 10.1007/s13300-022-01306-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/25/2022] [Indexed: 01/12/2023] Open
Abstract
INTRODUCTION Initiation of injectable therapies in type 2 diabetes (T2D) is often delayed, however the reasons why are not fully understood. METHODS A mixed methods study performed in sequential phases. Phase 1: focus groups with people with T2D (injectable naïve [n = 12] and experienced [n = 5]) and healthcare professionals (HCPs; nurses [n = 5] and general practitioners (GPs) [n = 7]) to understand their perceptions of factors affecting initiation of injectables. Phase 2: video-captured GP consultations (n = 18) with actor-portrayed patient scenarios requiring T2D treatment escalation to observe the initiation in the clinical setting. Phase 3: HCP surveys (n = 87) to explore external validity of the themes identified in a larger sample. RESULTS Focus groups identified patients' barriers to initiation; fear, lack of knowledge and misconceptions about diabetes and treatment aims, concerns regarding lifestyle restrictions and social stigma, and feelings of failure. Facilitators included education, good communication, clinician support and competence. HCP barriers included concerns about weight gain and hypoglycaemia, and limited consultation time. In simulated consultations, GPs performed high-quality consultations and recognised the need for injectable initiation in 9/12 consultations where this was the expert recommended option but did not provide support for initiation themselves. Survey results demonstrated HCPs believe injectable initiation should be performed in primary care, although many practitioners reported inability to do so or difficulty in maintaining skills. CONCLUSION People with T2D have varied concerns and educational needs regarding injectables. GPs recognise the need to initiate injectables but lack practical skills and time to address patient concerns and provide education. Primary care nurses also report difficulties in maintaining these skills. Primary care HCPs initiating injectables require additional training to provide practical demonstrations, patient education and how to identify and address concerns. These skills should be concentrated in the hands of a small number of primary care providers to ensure they can maintain their skills.
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Affiliation(s)
- Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.
- Royal College of General Practitioners, Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK.
| | - Andrew McGovern
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
- The Institute of Clinical and Biological Sciences, University of Exeter, Exeter, UK
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Martin Whyte
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | | | - Afrodita Marcu
- School of Health Sciences, University of Surrey, Guildford, UK
| | - John Williams
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Filipa Ferreira
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Julie Mount
- Eli Lilly and Company, Basingstoke, Hampshire, UK
| | - Manasa Tripathy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | | | - Benjamin C T Field
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
- Department of Diabetes and Endocrinology, East Surrey Hospital, Surrey and Sussex Healthcare NHS Trust, Redhill, Surrey, UK
| | - Michael Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
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12
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Dambha-Miller H, Hinton W, Wilcox CR, Lemanska A, Joy M, Feher M, Stuart B, de Lusignan S, Hippisley-Cox J, Griffin S. Mortality from angiotensin-converting enzyme-inhibitors and angiotensin receptor blockers in people infected with COVID-19: a cohort study of 3.7 million people. Fam Pract 2022; 40:330-337. [PMID: 36003039 PMCID: PMC9452130 DOI: 10.1093/fampra/cmac094] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Concerns have been raised that angiotensin-converting enzyme-inhibitors (ACE-I) and angiotensin receptor blockers (ARBs) might facilitate transmission of severe acute respiratory syndrome coronavirus 2 leading to more severe coronavirus disease (COVID-19) disease and an increased risk of mortality. We aimed to investigate the association between ACE-I/ARB treatment and risk of death amongst people with COVID-19 in the first 6 months of the pandemic. METHODS We identified a cohort of adults diagnosed with either confirmed or probable COVID-19 (from 1 January to 21 June 2020) using computerized medical records from the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) primary care database. This comprised 465 general practices in England, United Kingdom with a nationally representative population of 3.7 million people. We constructed mixed-effects logistic regression models to quantify the association between ACE-I/ARBs and all-cause mortality among people with COVID-19, adjusted for sociodemographic factors, comorbidities, concurrent medication, smoking status, practice clustering, and household number. RESULTS There were 9,586 COVID-19 cases in the sample and 1,463 (15.3%) died during the study period between 1 January 2020 and 21 June 2020. In adjusted analysis ACE-I and ARBs were not associated with all-cause mortality (adjusted odds ratio [OR] 1.02, 95% confidence interval [CI] 0.85-1.21 and OR 0.84, 95% CI 0.67-1.07, respectively). CONCLUSION Use of ACE-I/ARB, which are commonly used drugs, did not alter the odds of all-cause mortality amongst people diagnosed with COVID-19. Our findings should inform patient and prescriber decisions concerning continued use of these medications during the pandemic.
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Affiliation(s)
- Hajira Dambha-Miller
- Division of Primary Care and Population Health, University of Southampton, Southampton, United Kingdom
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Christopher R Wilcox
- Division of Primary Care and Population Health, University of Southampton, Southampton, United Kingdom
| | - Agnieszka Lemanska
- Department of Clinical and Experimental Medicine, School of Health Sciences, University of Surrey, Surrey, United Kingdom
| | - Mark Joy
- Department of Clinical and Experimental Medicine, School of Health Sciences, University of Surrey, Surrey, United Kingdom
| | - Michael Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Beth Stuart
- Division of Primary Care and Population Health, University of Southampton, Southampton, United Kingdom
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Julia Hippisley-Cox
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Simon Griffin
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.,MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
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13
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Whyte MB, Joy M, Hinton W, McGovern A, Hoang U, van Vlymen J, Ferreira F, Mount J, Munro N, de Lusignan S. Early and ongoing stable glycaemic control is associated with a reduction in major adverse cardiovascular events in people with type 2 diabetes: A primary care cohort study. Diabetes Obes Metab 2022; 24:1310-1318. [PMID: 35373891 PMCID: PMC9320871 DOI: 10.1111/dom.14705] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 03/11/2022] [Accepted: 03/30/2022] [Indexed: 12/22/2022]
Abstract
AIM To determine whether achieving early glycaemic control, and any subsequent glycaemic variability, was associated with any change in the risk of major adverse cardiovascular events (MACE). MATERIALS AND METHODS A retrospective cohort analysis from the Oxford-Royal College of General Practitioners Research and Surveillance Centre database-a large, English primary care network-was conducted. We followed newly diagnosed patients with type 2 diabetes, on or after 1 January 2005, aged 25 years or older at diagnosis, with HbA1c measurements at both diagnosis and after 1 year, plus five or more measurements of HbA1c thereafter. Three glycaemic bands were created: groups A (HbA1c < 58 mmol/mol [<7.5%]), B (HbA1c ≥ 58 to 75 mmol/mol [7.5%-9.0%]) and C (HbA1c ≥ 75 mmol/mol [≥9.0%]). Movement between bands was determined from diagnosis to 1 year. Additionally, for data after the first 12 months, a glycaemic variability score was calculated from the number of successive HbA1c readings differing by 0.5% or higher (≥5.5 mmol/mol). Risk of MACE from 1 year postdiagnosis was assessed using time-varying Cox proportional hazards models, which included the first-year transition and the glycaemic variability score. RESULTS From 26 180 patients, there were 2300 MACE. Compared with group A->A transition over 1 year, those with C->A transition had a reduced risk of MACE (HR 0.75; 95% CI 0.60-0.94; P = .014), whereas group C->C had HR 1.21 (0.81-1.81; P = .34). Compared with the lowest glycaemic variability score, the greatest variability increased the risk of MACE (HR 1.51; 1.11-2.06; P = .0096). CONCLUSION Early control of HbA1c improved cardiovascular outcomes in type 2 diabetes, although subsequent glycaemic variability had a negative effect on an individual's risk.
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Affiliation(s)
- Martin B. Whyte
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - Mark Joy
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
| | - William Hinton
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
| | - Andrew McGovern
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - Uy Hoang
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - Jeremy van Vlymen
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - Filipa Ferreira
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
| | | | - Neil Munro
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - Simon de Lusignan
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
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14
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Mathew M, van Vlymen J, Meza-Torres B, Hinton W, Delanerolle G, Yonova I, Feher M, Fan X, Liyanage H, Joy M, Carinci F, de Lusignan S. Effect of COVID-19 pandemic on glycaemic monitoring and other processes of care in Type 2 Diabetes: Protocol for a retrospective cohort study (Preprint). JMIR Res Protoc 2021; 11:e35971. [PMID: 35417404 PMCID: PMC9037615 DOI: 10.2196/35971] [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: 12/24/2021] [Revised: 02/23/2022] [Accepted: 03/16/2022] [Indexed: 11/20/2022] Open
Abstract
Background Social distancing and other nonpharmaceutical interventions to reduce the spread of COVID-19 infection in the United Kingdom have led to substantial changes in delivering ongoing care for patients with chronic conditions, including type 2 diabetes mellitus (T2DM). Clinical guidelines for the management and prevention of complications for people with T2DM delivered in primary care services advise routine annual reviews and were developed when face-to-face consultations were the norm. The shift in consultations from face-to-face to remote consultations caused a reduction in direct clinical contact and may impact the process of care for people with T2DM. Objective The aim of this study is to explore the impact of the COVID-19 pandemic’s first year on the monitoring of people with T2DM using routine annual reviews from a national primary care perspective in England. Methods A retrospective cohort study of adults with T2DM will be performed using routinely collected primary care data from the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC). We will describe the change in the rate of monitoring of hemoglobin A1c (HbA1c) between the first year of the COVID-19 pandemic (2020) and the preceding year (2019). We will also report any change in the eight checks that make up the components of these reviews. The change in HbA1c monitoring rates will be determined using a multilevel logistic regression model, adjusting for patient and practice characteristics, and similarly, the change in a composite measure of the completeness of all eight checks will be modeled using ordinal regression. The models will be adjusted for the following patient-level variables: age, gender, socioeconomic status, ethnicity, COVID-19 shielding status, duration of diabetes, and comorbidities. The model will also be adjusted for the following practice-level variables: urban versus rural, practice size, Quality and Outcomes Framework achievement, the National Health Service region, and the proportion of face-to-face consultations. Ethical approval was provided by the University of Oxford Medical Sciences Interdivisional Research Ethics Committee (September 2, 2021, reference R77306/RE001). Results The analysis of the data extract will include 3.96 million patients with T2DM across 700 practices, which is 6% of the available Oxford-RCGP RSC adult population. The preliminary results will be submitted to a conference under the domain of primary care. The resulting publication will be submitted to a peer-reviewed journal on diabetes and endocrinology. Conclusions The COVID-19 pandemic has impacted the delivery of care, but little is known about the process of caring for people with T2DM. This study will report the impact of the COVID-19 pandemic on these processes of care. International Registered Report Identifier (IRRID) DERR1-10.2196/35971
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Affiliation(s)
- Mekha Mathew
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Jeremy van Vlymen
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Bernardo Meza-Torres
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | - Gayathri Delanerolle
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Ivelina Yonova
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Michael Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Xuejuan Fan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Harshana Liyanage
- Field Service, UK Health Security Agency, Birmingham, United Kingdom
| | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Fabrizio Carinci
- Department of Statistical Sciences, University of Bologna, Bologna, Italy
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
- Royal College of General Practitioners Research and Surveillance Centre, London, United Kingdom
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15
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de Lusignan S, Hinton W, Seidu S, Mathew M, Feher MD, Munro N, Joy M, Carinci F, Hobbs FDR, Khunti K. Dashboards to reduce inappropriate prescribing of metformin and aspirin: A quality assurance programme in a primary care sentinel network. Prim Care Diabetes 2021; 15:1075-1079. [PMID: 34147402 DOI: 10.1016/j.pcd.2021.06.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/01/2021] [Accepted: 06/06/2021] [Indexed: 11/21/2022]
Abstract
AIMS To pilot two dashboards to monitor prescribing of metformin and aspirin according to the National Institute for Health and Care Excellence (NICE) 'Do-Not-Do' recommendations. METHODS This quality assurance programme was conducted in twelve general practices of the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) network. We developed dashboards to flag inappropriate prescribing of metformin and aspirin to people with type 2 diabetes mellitus (T2DM). In Phase 1, six practices (Group A) received a dashboard flagging suboptimal metformin prescriptions in people with reduced renal function. The other six practices (Group B) were controls. In Phase 2, Group B were provided a dashboard to flag inappropriate aspirin prescribing and Group A were controls. We used logistic regression to explore associations between dashboard exposure and inappropriate prescribing. RESULTS The cohort comprised 5644 individuals (Group A, n = 2656; Group B, n = 2988). Half (51.6%, n = 2991) were prescribed metformin of which 15 (0.5%) were inappropriate (Group A, n = 10; Group B, n = 5). A fifth (17.6%, n = 986) were prescribed aspirin of which 828 (84.0%) were inappropriate. During Phase 1, metformin was stopped in 50% (n = 5) of people in Group A, compared with 20% (n = 1) in the control group (Group B); in Phase 2, the odds ratio of inappropriate aspirin prescribing was significantly lower in practices that received the dashboard versus control (0.44, 95%CI 0.27-0.72). CONCLUSIONS It was feasible to use a dashboard to flag inappropriate prescribing. Whilst underpowered to report a change in metformin, we demonstrated a reduction in inappropriate aspirin prescribing.
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Affiliation(s)
- Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK; Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK.
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK; Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Samuel Seidu
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Mekha Mathew
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Michael D Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Fabrizio Carinci
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK; Department of Statistical Sciences, University of Bologna, Italy
| | - F D Richard Hobbs
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
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Feher M, Hinton W, Forbes A, Munro N, Joy M, Wheeler D, de Lusignan S. SGLT2i agonist and GLP-1 receptor COMBination therapy in type 2 diabetes: Protocol for a KIDney endpoints real world study-[COMBi-KID Study] (Preprint). JMIR Res Protoc 2021; 11:e34206. [PMID: 35852840 PMCID: PMC9346560 DOI: 10.2196/34206] [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: 10/11/2021] [Revised: 01/24/2022] [Accepted: 03/18/2022] [Indexed: 11/25/2022] Open
Abstract
Background Sodium-glucose cotransporter-2 inhibitors (SGLT2is) and glucagon-like peptide-1 receptor agonists (GLP-1RAs) are both considered to be part of standard care in the management of glycemia in type 2 diabetes. Recent trial evidence has indicated benefits on primary kidney end points for individual drugs within each medication class. Despite the potential benefits of combining SGLT2is and GLP-1RAs for glycemia management, according to national and international guideline recommendations, there is currently limited data on kidney end points for this drug combination. Objective The aims of the study are to assess the real-world effects of combination SGLT2i and GLP-1RA therapies for diabetes management on kidney end points, glycemic control, and weight in people with type 2 diabetes who are being treated with renin-angiotensin system blockade medication. Methods This retrospective cohort study will use the electronic health records of people with type 2 diabetes that are registered with general practices covering over 15 million people in England and Wales and are included in the Oxford-Royal College of General Practitioners Research and Surveillance Centre network. A propensity score–matched cohort of prevalent new users of SGLT2is and GLP-1RAs and those who have been prescribed SGLT2is and GLP-1RAs in combination will be identified. They will be matched based on drug histories, comorbidities, and demographics. A repeated-measures, multilevel, linear regression analysis will be performed to compare the mean change (from baseline) in estimated glomerular filtration rate at 12 and 24 months between those who switched to combined therapy and those continuing monotherapy with an SGLT2i or GLP-1RA. The secondary end points will be albuminuria, serum creatinine level, glycated hemoglobin level, and BMI. These will also be assessed for change at the 12- and 24-month follow-ups. Results The study is due to commence in March 2022 and is expected to be complete by September 2022. Conclusions Our study will be the first to assess the impact of combination SGLT2i and GLP-1RA therapy in type 2 diabetes on primary kidney end points from a real-world perspective. International Registered Report Identifier (IRRID) PRR1-10.2196/34206
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Affiliation(s)
- Michael Feher
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William Hinton
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Anna Forbes
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Neil Munro
- Clinical Informatics, University of Surrey, Guildford, United Kingdom
| | - Mark Joy
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - David Wheeler
- Department of Renal Medicine, University College London, London, United Kingdom
| | - Simon de Lusignan
- Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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17
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Hinton W, Feher MD, Munro N, Joy M, de Lusignan S. Prescribing sodium-glucose co-transporter-2 inhibitors for type 2 diabetes in primary care: influence of renal function and heart failure diagnosis. Cardiovasc Diabetol 2021; 20:130. [PMID: 34183018 PMCID: PMC8237469 DOI: 10.1186/s12933-021-01316-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 06/07/2021] [Indexed: 02/08/2023] Open
Abstract
Background Sodium-glucose co-transporter-2 inhibitors (SGLT-2is) are licenced for initiation for glucose lowering in people with type 2 diabetes (T2DM) with an estimated glomerular filtration rate (eGFR) ≥ 60 mL/min/1.73m2). However, recent trial data have shown that these medications have renal and cardio-protective effects, even for impaired kidney function. The extent to which trial evidence and updated guidelines have influenced real-world prescribing of SGLT-2is is not known, particularly with co-administration of diuretics. Methods We performed a cross-sectional analysis of people with T2DM registered with practices in the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) database on the 31st July 2019. We calculated the percentage of people prescribed SGLT-2is according to eGFR categories (< 45, 45–59, and ≥ 60 mL/min/1.73m2), with a heart failure diagnosis and stratified by body mass index categories (underweight, normal weight, overweight, obese), and with concomitant prescription of a diuretic. Multilevel logistic regression analysis was performed to determine whether heart failure diagnosis and renal function were associated with SGLT-2i prescribing. Results From a population of 242,624 people with T2DM across 419 practices, 11.0% (n = 26,700) had been prescribed SGLT-2is. The majority of people initiated SGLT-2is had an eGFR ≥ 60 mL/min/1.73m2 (93.2%), and 4.3% had a heart failure diagnosis. 9,226 (3.8%) people were prescribed SGLT-2is as an add-on to their diuretic prescription. People in the highest eGFR category (≥ 60 mL/min/1.73m2) were more likely to be prescribed SGLT-2is than those in eGFR lower categories. Overweight (OR 2.05, 95% CI 1.841–2.274) and obese people (OR 3.84, 95% CI 3.472–4.250) were also more likely to be prescribed these medications, whilst use of diuretics (OR 0.74, 95% CI 0.682–0.804) and heart failure (OR 0.81, 95% CI 0.653–0.998) were associated with lower odds of being prescribed SGLT-2is. Conclusions Prescribing patterns of SGLT-2is for glucose lowering in T2DM in primary care generally concur with licenced indications according to recommended renal thresholds. A small percentage of people with heart failure were prescribed SGLT-2is for T2DM. An updated analysis is merited should UK National Institute for Health Care and Excellence prescribing guidelines for T2DM be revised to incorporate new data on the benefits for those with reduced renal function or with heart failure. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01316-4.
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Affiliation(s)
- William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.,Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Michael D Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. .,Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK.
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18
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Crampton N, Kalia S, Del Giudice ME, Wintemute K, Sullivan F, Aliarzadeh B, Meaney C, Moineddin R, Singer A, Hinton W, Sherlock J, Williams J, de Lusignan S, Greiver M. Over-use of thyroid testing in Canadian and UK primary care in frequent attenders: A cross-sectional study. Int J Clin Pract 2021; 75:e14144. [PMID: 33733562 DOI: 10.1111/ijcp.14144] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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: 05/30/2020] [Accepted: 03/09/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Thyroid-stimulating hormone (TSH) is a common test used to detect and monitor clinically significant hypo- and hyperthyroidism. Population-based screening of asymptomatic adults for thyroid disorders is not recommended. OBJECTIVE The research objectives were to determine patterns of TSH testing in Canadian and English primary care practices, as well as patient and physician practice characteristics associated with testing TSH for primary care patients with no identifiable indication. METHODS In this 2-year cross-sectional observational study, Canadian and English electronic medical record databases were used to identify patients and physician practices. Cohorts of patients aged 18 years or older, without identifiable indications for TSH testing, were generated from these databases. Analyses were performed using a random-effects logistic regression to determine patient and physician practice characteristics associated with increased testing. We determined the proportion of TSH tests performed concurrently with at least one common screening blood test (lipid profile or hemoglobin A1c). Standardised proportions of TSH test per family practice were used to examine the heterogeneity in the populations. RESULTS At least one TSH test was performed in 35.97% (N = 489 663) of Canadian patients and 29.36% (N = 1 030 489) of English patients. Almost all TSH tests in Canada and England (95.69% and 99.23% respectively) were within the normal range (0.40-5.00 mU/L). A greater number of patient-physician encounters was the strongest predictor of TSH testing. It was determined that 51.40% of TSH tests in Canada and 76.55% in England were performed on the same day as at least one other screening blood test. There was no association between the practice size and proportion of asymptomatic patients tested. CONCLUSIONS This comparative binational study found TSH patterns suggestive of over-testing and potentially thyroid disorder screening in both countries. There may be significant opportunities to improve the appropriateness of TSH ordering in Canada and England and therefore improve the allocation of limited system resources.
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Affiliation(s)
- Noah Crampton
- Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Sumeet Kalia
- Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Maria Elisabeth Del Giudice
- Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
- Department of Family and Community Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Kimberly Wintemute
- Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Frank Sullivan
- North York Family Health Team, Toronto, ON, Canada
- University of St Andrews Bute Medical School, St Andrews, UK
| | - Babak Aliarzadeh
- Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Christopher Meaney
- Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Rahim Moineddin
- Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | | | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Julian Sherlock
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - John Williams
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Royal College of General Practitioners Research and Surveillance Centre, London, UK
| | - Michelle Greiver
- Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
- North York General Hospital, Toronto, ON, Canada
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19
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Shah S, Feher M, McGovern A, Sherlock J, Whyte MB, Munro N, Hinton W, Gatenby P, de Lusignan S. Diabetic retinopathy in newly diagnosed Type 2 diabetes mellitus: Prevalence and predictors of progression; a national primary network study. Diabetes Res Clin Pract 2021; 175:108776. [PMID: 33753173 DOI: 10.1016/j.diabres.2021.108776] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 03/02/2021] [Accepted: 03/15/2021] [Indexed: 12/23/2022]
Abstract
AIMS To determine, inreal-world primary care settings, the prevalence of, and risk factors for, retinopathy atType 2 diabetes mellitus diagnosis and report cumulative incidence and progression of retinopathy seven years after diabetes diagnosis. METHODS Retrospective cohort analysis of people with newly diagnosed Type 2 diabetesrecorded bythe Royal College of General Practitioners Research and Surveillance Centre(between 2005 and 2009, n=11,399).Outcomes included; retinopathy prevalence atdiabetesdiagnosis (baseline) and cumulative incidence or progression of retinopathy at seven years. Retinopathy prevalence was compared with the United Kingdom Prospective Diabetes Study (UKPDS-1998). Factors influencing retinopathy incidence and progression were analysed using logistic regression. RESULTS Baseline retinopathy prevalencewas 18% (n=2,048) versus 37% in UKPDS. At seven years, 11.6% (n=237) of those with baseline retinopathyhad progression of retinopathy. In those without baseline retinopathy, 46.4% (n=4,337/9,351) developed retinopathy by seven years. Retinopathy development (OR: 1.05 [95%CI: 1.02-1.07] per mmol/mol increase) and progression (OR: 1.05 [1.04-1.06]) at seven years was associated with higher HbA1catdiabetesdiagnosis. Obesity (OR: 0.88 [0.79-0.98]) and high socioeconomic status (OR: 0.63 [0.53-0.74]) were negatively associated with retinopathy development at seven years. CONCLUSIONS Baseline retinopathy prevalence has declined since UKPDS. Additionally, HbA1c at diabetes diagnosis remains important for retinopathy development and progression.
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Affiliation(s)
- Savan Shah
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK.
| | - Michael Feher
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK; Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, University of Oxford, Oxford OX2 6GG, UK
| | - Andrew McGovern
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK; University of Exeter Medical School, The Institute of Clinical and Biological Sciences, RILD Building, RD&E Hospital, Wonford, Barrack Road, Exeter EX2 5DW, UK
| | - Julian Sherlock
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK
| | - Martin B Whyte
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK; Diabetes Centre, Dumfries & Galloway Royal Infirmary, A75, Cargenbridge, Dumfries DG2 8RX, UK
| | - William Hinton
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK; Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, University of Oxford, Oxford OX2 6GG, UK
| | - Piers Gatenby
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK
| | - Simon de Lusignan
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK; Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, University of Oxford, Oxford OX2 6GG, UK
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20
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Hinton W, Nemeth B, de Lusignan S, Field B, Feher MD, Munro N, Roberts LN, Arya R, Whyte MB. Effect of type 1 diabetes and type 2 diabetes on the risk of venous thromboembolism. Diabet Med 2021; 38:e14452. [PMID: 33165941 PMCID: PMC8247424 DOI: 10.1111/dme.14452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 12/12/2022]
Abstract
AIMS Whether diabetes increases venous thromboembolism (VTE) is unclear. Any greater risk may relate to insulin resistance, but many studies did not differentiate between type 1 diabetes and type 2 diabetes for VTE risk. METHODS Retrospective cohort study of the Royal College of General Practitioners Research and Surveillance Centre, comprising over 530 primary care practices. We determined whether type 1 diabetes and/or type 2 diabetes are independent risk factors for VTE. The index date was 1 January 2009, individuals were followed to 31 December 2018, or censoring. Cox proportional hazard regression analysis was used to investigate the risk of VTE in people with type 1 diabetes and type 2 diabetes relative to no diabetes. The primary outcome was occurrence of VTE. The model was adjusted for potential confounders for VTE. RESULTS There were 7086 people with type 1 diabetes and 95,566 with type 2 diabetes, diagnosed before 1 January 2009. The non-diabetes group consisted of 1,407,699 people. In the unadjusted analysis, there was no increased risk of VTE with type 1 diabetes (HR 1.00, 95% CI 0.76-1.33) but there was for type 2 diabetes (HR 2.70, 95% CI 2.57-2.84). In the fully adjusted model, VTE risk was increased in type 1 diabetes (HR 1.46, 95% CI 1.11-1.92), but not with type 2 diabetes (HR 1.06, 95% CI 0.98-1.14). CONCLUSIONS Type 1 diabetes was associated with a greater risk for VTE while type 2 diabetes was not. Further work is needed to determine the reason(s) for this.
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Affiliation(s)
- William Hinton
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
| | - Banne Nemeth
- Department of Clinical EpidemiologyLeiden UniversityLeidenThe Netherlands
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
- Faculty of Health & Medical SciencesUniversity of SurreyGuildfordSurreyUK
- Royal College of General PractitionersRoyal College of General Practitioners (RCGP) Research and Surveillance Centre (RSCLondonUK
| | - Ben Field
- Faculty of Health & Medical SciencesUniversity of SurreyGuildfordSurreyUK
| | - Michael D. Feher
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
| | - Neil Munro
- Faculty of Health & Medical SciencesUniversity of SurreyGuildfordSurreyUK
| | - Lara N. Roberts
- King’s Thrombosis CentreDepartment of Haematological MedicineKing’s College NHS Foundation TrustLondonUK
| | - Roopen Arya
- King’s Thrombosis CentreDepartment of Haematological MedicineKing’s College NHS Foundation TrustLondonUK
| | - Martin B. Whyte
- Faculty of Health & Medical SciencesUniversity of SurreyGuildfordSurreyUK
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21
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Sheppard JP, Nicholson BD, Lee J, McGagh D, Sherlock J, Koshiaris C, Oke J, Jones NR, Hinton W, Armitage L, Van Hecke O, Lay-Flurrie S, Bankhead CR, Liyanage H, Williams J, Ferreira F, Feher MD, Ashworth AJ, Joy MP, de Lusignan S, Hobbs FDR. Association Between Blood Pressure Control and Coronavirus Disease 2019 Outcomes in 45 418 Symptomatic Patients With Hypertension: An Observational Cohort Study. Hypertension 2020; 77:846-855. [PMID: 33325240 PMCID: PMC7884248 DOI: 10.1161/hypertensionaha.120.16472] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Supplemental Digital Content is available in the text. Hypertension has been identified as a risk factor for coronavirus disease 2019 (COVID-19) and associated adverse outcomes. This study examined the association between preinfection blood pressure (BP) control and COVID-19 outcomes using data from 460 general practices in England. Eligible patients were adults with hypertension who were tested or diagnosed with COVID-19. BP control was defined by the most recent BP reading within 24 months of the index date (January 1, 2020). BP was defined as controlled (<130/80 mm Hg), raised (130/80–139/89 mm Hg), stage 1 uncontrolled (140/90–159/99 mm Hg), or stage 2 uncontrolled (≥160/100 mm Hg). The primary outcome was death within 28 days of COVID-19 diagnosis. Secondary outcomes were COVID-19 diagnosis and COVID-19–related hospital admission. Multivariable logistic regression was used to examine the association between BP control and outcomes. Of the 45 418 patients (mean age, 67 years; 44.7% male) included, 11 950 (26.3%) had controlled BP. These patients were older, had more comorbidities, and had been diagnosed with hypertension for longer. A total of 4277 patients (9.4%) were diagnosed with COVID-19 and 877 died within 28 days. Individuals with stage 1 uncontrolled BP had lower odds of COVID-19 death (odds ratio, 0.76 [95% CI, 0.62–0.92]) compared with patients with well-controlled BP. There was no association between BP control and COVID-19 diagnosis or hospitalization. These findings suggest BP control may be associated with worse COVID-19 outcomes, possibly due to these patients having more advanced atherosclerosis and target organ damage. Such patients may need to consider adhering to stricter social distancing, to limit the impact of COVID-19 as future waves of the pandemic occur.
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Affiliation(s)
- James P Sheppard
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Brian D Nicholson
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Joseph Lee
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Dylan McGagh
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Julian Sherlock
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Constantinos Koshiaris
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Jason Oke
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Nicholas R Jones
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - William Hinton
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Laura Armitage
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Oliver Van Hecke
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Sarah Lay-Flurrie
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Clare R Bankhead
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Harshana Liyanage
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - John Williams
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Filipa Ferreira
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Michael D Feher
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | | | - Mark P Joy
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - Simon de Lusignan
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
| | - F D Richard Hobbs
- From the Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (J.P.S., B.D.N., J.L., D.M., J.S., C.K., J.O., N.R.J., W.H., L.A., O.V.H., S.L.-F., C.R.B., H.L., J.W., F.F., M.D.F., M.P.J., S.d.L., F.D.R.H.)
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Hinton W, Feher M, Munro N, Joy M, de Lusignan S. Sodium-glucose co-transporter-2 inhibitor cardiovascular outcome trials and generalizability to English primary care. Diabet Med 2020; 37:1499-1508. [PMID: 32128875 PMCID: PMC7497070 DOI: 10.1111/dme.14290] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/28/2020] [Indexed: 12/25/2022]
Abstract
AIM To identify people in English primary care with equivalent cardiovascular risk to participants in the sodium-glucose co-transporter-2 inhibitor (SGLT-2i) cardiovascular outcome trials (CVOTs). A secondary objective was to report the usage of SGLT-2is. METHODS Cross-sectional analysis of people registered with participating practices in the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) network on the 31 December 2016. We derived: (1) proportions of the primary care population eligible for inclusion in each SGLT-2i CVOT (CANVAS, DECLARE, EMPA-REG and VERTIS); (2) characteristics of the eligible population compared with trial participants (demographics, disease duration and vascular risk); and (3) differences within the eligible population prescribed SGLT-2is. RESULTS The proportions of people with type 2 diabetes (N = 84 394) meeting the inclusion criteria for each CVOT were: DECLARE 27% [95% confidence interval (CI) 26.5-27.1]; CANVAS 17% (16.6-17.1); VERTIS 7% (7.1-7.4); and EMPA-REG 7% (6.5-6.8). Primary care populations fulfilling inclusion criteria were 5-8 years older than trial cohorts, and <10% with inclusion criteria of each trial were prescribed an SGLT-2i; a greater proportion were men, and of white ethnicity. CONCLUSIONS There was variation in proportions of the primary care type 2 diabetes population fulfilling inclusion criteria of SGLT-2i CVOTs. The more stringent the inclusion criteria, the lower the proportion identified in a primary care setting. Prescription rates for SGLT-2is were low in this national database, and there were demographic disparities in prescribing.
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Affiliation(s)
- W. Hinton
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - M. Feher
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
| | - N. Munro
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - M. Joy
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - S. de Lusignan
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
- Royal College of General PractitionersResearch and Surveillance CentreLondonUK
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Hinton W, Feher M, Munro N, de Lusignan S. Does Renal Function or Heart Failure Diagnosis Affect Primary Care Prescribing for Sodium-Glucose Co-Transporter 2 Inhibitors in Type 2 Diabetes? Diabetes Ther 2020; 11:2169-2175. [PMID: 32671574 PMCID: PMC7434824 DOI: 10.1007/s13300-020-00878-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION Sodium-glucose co-transporter 2 inhibitors (SGLT2is) are a unique class of drugs currently used in the management of type 2 diabetes (T2D). There are emerging data from cardiovascular outcome trials confirming renal and heart failure benefits of these drugs independent of glucose lowering. By contrast, the current licencing indications of these drugs are mainly limited to their glucose-lowering effects, and not to renal or heart failure benefits. It is therefore timely to ascertain whether the presence of these clinical conditions may influence prescribing choices for patients with T2D. Our aims are to report prescribing of SGLT2is in people with T2D according to their renal function and presence of heart failure. Co-prescribing with diuretics will also be explored. METHODS We will perform a cross-sectional analysis of people with T2D in the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) network. The RCGP RSC includes more than 1500 volunteer practices throughout England and parts of Wales, and a representative sample of over 10 million patients. The proportion of adults with T2D ever prescribed an SGLT2i will be determined. Within this cohort, we will calculate the percentage of SGLT2is prescribed according to renal function, and the proportion of prescriptions in people with co-morbid heart failure, stratified by body mass index categories. The percentage of SGLT2is prescribed as an add-on to a diuretic or following discontinuation of prescribing for a diuretic will also be reported. Multilevel logistic regression will be performed to explore the association between heart failure and renal function, and propensity to prescribe SGLT2is. PLANNED OUTPUTS The study findings will be submitted to a primary care/diabetes-focused conference, and for publication in a peer reviewed journal.
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Affiliation(s)
- William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Michael Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
- Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK.
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Lemanska A, Byford RC, Cruickshank C, Dearnaley DP, Ferreira F, Griffin C, Hall E, Hinton W, de Lusignan S, Sherlock J, Faithfull S. Linkage of the CHHiP randomised controlled trial with primary care data: a study investigating ways of supplementing cancer trials and improving evidence-based practice. BMC Med Res Methodol 2020; 20:198. [PMID: 32711460 PMCID: PMC7382082 DOI: 10.1186/s12874-020-01078-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 07/08/2020] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Randomised controlled trials (RCTs) are the gold standard for evidence-based practice. However, RCTs can have limitations. For example, translation of findings into practice can be limited by design features, such as inclusion criteria, not accurately reflecting clinical populations. In addition, it is expensive to recruit and follow-up participants in RCTs. Linkage with routinely collected data could offer a cost-effective way to enhance the conduct and generalisability of RCTs. The aim of this study is to investigate how primary care data can support RCTs. METHODS Secondary analysis following linkage of two datasets: 1) multicentre CHHiP radiotherapy trial (ISRCTN97182923) and 2) primary care database from the Royal College of General Practitioners Research and Surveillance Centre. Comorbidities and medications recorded in CHHiP at baseline, and radiotherapy-related toxicity recorded in CHHiP over time were compared with primary care records. The association of comorbidities and medications with toxicity was analysed with mixed-effects logistic regression. RESULTS Primary care records were extracted for 106 out of 2811 CHHiP participants recruited from sites in England (median age 70, range 44 to 82). Complementary information included longitudinal body mass index, blood pressure and cholesterol, as well as baseline smoking and alcohol usage but was limited by the considerable missing data. In the linked sample, 9 (8%) participants were recorded in CHHiP as having a history of diabetes and 38 (36%) hypertension, whereas primary care records indicated incidence prior to trial entry of 11 (10%) and 40 (38%) respectively. Concomitant medications were not collected in CHHiP but available in primary care records. This indicated that 44 (41.5%) men took aspirin, 65 (61.3%) statins, 14 (13.2%) metformin and 46 (43.4%) phosphodiesterase-5-inhibitors at some point before or after trial entry. CONCLUSIONS We provide a set of recommendations on linkage and supplementation of trials. Data recorded in primary care are a rich resource and linkage could provide near real-time information to supplement trials and an efficient and cost-effective mechanism for long-term follow-up. In addition, standardised primary care data extracts could form part of RCT recruitment and conduct. However, this is at present limited by the variable quality and fragmentation of primary care data.
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Affiliation(s)
- Agnieszka Lemanska
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH UK
- Data Science, National Physical Laboratory, Teddington, UK
| | - Rachel C. Byford
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Clare Cruickshank
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK
| | - David P. Dearnaley
- The Institute of Cancer Research and Royal Marsden NHS Trust, London, UK
| | - Filipa Ferreira
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Clare Griffin
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK
| | - Emma Hall
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK
| | - William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Julian Sherlock
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Sara Faithfull
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH UK
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Gaudio M, Dozio N, Feher M, Scavini M, Caretto A, Joy M, Van Vlymer J, Hinton W, de Lusignan S. Trends in Factors Affecting Pregnancy Outcomes Among Women With Type 1 or Type 2 Diabetes of Childbearing Age (2004-2017). Front Endocrinol (Lausanne) 2020; 11:596633. [PMID: 33692751 PMCID: PMC7937966 DOI: 10.3389/fendo.2020.596633] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 11/30/2020] [Indexed: 11/21/2022] Open
Abstract
AIM To describe trends in modifiable and non-modifiable unfavorable factors affecting pregnancy outcomes, over time (years 2004-2017), in women with diabetes of childbearing age from an English primary care perspective. METHODS We identified women with diabetes aged 16-45 years from the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) network, an English primary care sentinel database. Repeated annual cross-sectional analyses (2004-2017) assessed the prevalence of unfavorable factors for pregnancy, such as obesity, poor glycaemic control, microalbuminuria, hypertension, use of medications for treating diabetes, and associated comorbidities not recommended for pregnancy. RESULTS We identified 3,218 women (61.5% with Type 2 diabetes) in 2004 and 6,657 (65.0% with Type 2 diabetes) in 2017. The proportion of women with ideal glycaemic control for conception (HbA1c<6.5%) increased over time, in patients with Type 1 diabetes from 9.0% (7.1%-11.0%) to 19.1% (17.2%-21.1%), and in those with Type 2 diabetes from 27.2% (24.6%-29.9%) to 35.4% (33.6%-37.1%). The proportion of women with Type 2 diabetes prescribed medications different from insulin and metformin rose from 22.3% (20.5%-24.2%) to 27.3% (26.0%-28.6%).In 2017, 14.0% (12.6%-15.4%) of women with Type 1 and 30.7% (29.3%-32.0%) with Type 2 diabetes were prescribed angiotensin-modulating antihypertensives or statins. We captured at least one unfavorable factor for pregnancy in 50.9% (48.8%-52.9%) of women with Type 1 diabetes and 70.7% (69.3%-72.0%) of women with Type 2 diabetes. Only one third of women with Type 1 diabetes (32.2%, 30.3%-34.0%) and a quarter of those with Type 2 diabetes (23.1%, 21.9%-24.4%) were prescribed hormonal contraception. Contraception was prescribed more frequently to women with unfavorable factors for pregnancy compared to those without, however, the difference was significant only for women with Type 1 diabetes. CONCLUSIONS Despite significant improvements in general diabetes care, the majority of women with Type 1 or Type 2 diabetes have unfavorable, although mostly modifiable, factors for the start of pregnancy. Good diabetes care for women of childbearing age should include taking into consideration a possible pregnancy.
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Affiliation(s)
- Mariangela Gaudio
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
- International Medical Doctor Program, Vita-Salute San Raffaele University, Milan, Italy
| | - Nicoletta Dozio
- International Medical Doctor Program, Vita-Salute San Raffaele University, Milan, Italy
- Diabetes Research Institute, San Raffaele Scientific Institute, Milan, Italy
| | - Michael Feher
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
- Nuffield Department of Primary Care Health Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Marina Scavini
- International Medical Doctor Program, Vita-Salute San Raffaele University, Milan, Italy
- Diabetes Research Institute, San Raffaele Scientific Institute, Milan, Italy
- *Correspondence: Marina Scavini,
| | - Amelia Caretto
- International Medical Doctor Program, Vita-Salute San Raffaele University, Milan, Italy
- Diabetes Research Institute, San Raffaele Scientific Institute, Milan, Italy
| | - Mark Joy
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
- Nuffield Department of Primary Care Health Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Jeremy Van Vlymer
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
- Nuffield Department of Primary Care Health Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - William Hinton
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
- Nuffield Department of Primary Care Health Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
- Nuffield Department of Primary Care Health Medical Sciences Division, University of Oxford, Oxford, United Kingdom
- Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, United Kingdom
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Feher M, Hinton W, Munro N, de Lusignan S. Obstructive sleep apnoea in Type 2 diabetes mellitus: increased risk for overweight as well as obese people included in a national primary care database analysis. Diabet Med 2019; 36:1304-1311. [PMID: 31001841 PMCID: PMC6767542 DOI: 10.1111/dme.13968] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/15/2019] [Indexed: 12/13/2022]
Abstract
AIMS To determine obstructive sleep apnoea prevalence in people with Type 2 or Type 1 diabetes in a national primary care setting, stratified by BMI category, and to explore the relationship between patient characteristics and obstructive sleep apnoea. METHODS Using the Royal College of General Practitioners Research and Surveillance Centre database, a cross-sectional analysis was conducted. Diabetes type was identified using a seven-step algorithm and was grouped by Type 2 diabetes, Type 1 diabetes and no diabetes. The clinical characteristics of these groups were analysed, BMI-stratified obstructive sleep apnoea prevalence rates were calculated, and a multilevel logistic regression analysis was completed on the Type 2 diabetes group. RESULTS Analysis of 1 275 461 adult records in the Royal College of General Practitioners Research and Surveillance Centre network showed that obstructive sleep apnoea was prevalent in 0.7%. In people with Type 2 diabetes, obstructive sleep apnoea prevalence increased with each increasing BMI category, from 0.5% in those of normal weight to 9.6% in those in the highest obesity class. By comparison, obstructive sleep apnoea prevalence rates for these BMI categories in Type 1 diabetes were 0.3% and 4.3%, and in those without diabetes 1.2% and 3.9%, respectively. Obstructive sleep apnoea was more prevalent in men than women in both diabetes types. When known risk factors were adjusted for, there were increased odds ratios for obstructive sleep apnoea in people with Type 2 diabetes in the overweight and higher BMI categories. CONCLUSIONS Obstructive sleep apnoea was reported in people with both types of diabetes across the range of overweight categories and not simply in the highest obesity class.
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Affiliation(s)
- M. Feher
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - W. Hinton
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - N. Munro
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - S. de Lusignan
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
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Whyte MB, Hinton W, McGovern A, van Vlymen J, Ferreira F, Calderara S, Mount J, Munro N, de Lusignan S. Disparities in glycaemic control, monitoring, and treatment of type 2 diabetes in England: A retrospective cohort analysis. PLoS Med 2019; 16:e1002942. [PMID: 31589609 PMCID: PMC6779242 DOI: 10.1371/journal.pmed.1002942] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 09/11/2019] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Disparities in type 2 diabetes (T2D) care provision and clinical outcomes have been reported in the last 2 decades in the UK. Since then, a number of initiatives have attempted to address this imbalance. The aim was to evaluate contemporary data as to whether disparities exist in glycaemic control, monitoring, and prescribing in people with T2D. METHODS AND FINDINGS A T2D cohort was identified from the Royal College of General Practitioners Research and Surveillance Centre dataset: a nationally representative sample of 164 primary care practices (general practices) across England. Diabetes healthcare provision and glucose-lowering medication use between 1 January 2012 and 31 December 2016 were studied. Healthcare provision included annual HbA1c, renal function (estimated glomerular filtration rate [eGFR]), blood pressure (BP), retinopathy, and neuropathy testing. Variables potentially associated with disparity outcomes were assessed using mixed effects logistic and linear regression, adjusted for age, sex, ethnicity, and socioeconomic status (SES) using the Index of Multiple Deprivation (IMD), and nested using random effects within general practices. Ethnicity was defined using the Office for National Statistics ethnicity categories: White, Mixed, Asian, Black, and Other (including Arab people and other groups not classified elsewhere). From the primary care adult population (n = 1,238,909), we identified a cohort of 84,452 (5.29%) adults with T2D. The mean age of people with T2D in the included cohort at 31 December 2016 was 68.7 ± 12.6 years; 21,656 (43.9%) were female. The mean body mass index was 30.7 ± SD 6.4 kg/m2. The most deprived groups (IMD quintiles 1 and 2) showed poorer HbA1c than the least deprived (IMD quintile 5). People of Black ethnicity had worse HbA1c than those of White ethnicity. Asian individuals were less likely than White individuals to be prescribed insulin (odds ratio [OR] 0.86, 95% CI 0.79-0.95; p < 0.01), sodium-glucose cotransporter-2 (SGLT2) inhibitors (OR 0.68, 95% CI 0.58-0.79; p < 0.001), and glucagon-like peptide-1 (GLP-1) agonists (OR 0.37, 95% CI 0.31-0.44; p < 0.001). Black individuals were less likely than White individuals to be prescribed SGLT2 inhibitors (OR 0.50, 95% CI 0.39-0.65; p < 0.001) and GLP-1 agonists (OR 0.45, 95% CI 0.35-0.57; p < 0.001). Individuals in IMD quintile 5 were more likely than those in the other IMD quintiles to have annual testing for HbA1c, BP, eGFR, retinopathy, and neuropathy. Black individuals were less likely than White individuals to have annual testing for HbA1c (OR 0.89, 95% CI 0.79-0.99; p = 0.04) and retinopathy (OR 0.82, 95% CI 0.70-0.96; p = 0.011). Asian individuals were more likely than White individuals to have monitoring for HbA1c (OR 1.10, 95% CI 1.01-1.20; p = 0.023) and eGFR (OR 1.09, 95% CI 1.00-1.19; p = 0.048), but less likely for retinopathy (OR 0.88, 95% CI 0.79-0.97; p = 0.01) and neuropathy (OR 0.88, 95% CI 0.80-0.97; p = 0.01). The study is limited by the nature of being observational and defined using retrospectively collected data. Disparities in diabetes care may show regional variation, which was not part of this evaluation. CONCLUSIONS Our findings suggest that disparity in glycaemic control, diabetes-related monitoring, and prescription of newer therapies remains a challenge in diabetes care. Both SES and ethnicity were important determinants of inequality. Disparities in glycaemic control and other areas of care may lead to higher rates of complications and adverse outcomes for some groups.
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Affiliation(s)
- Martin B. Whyte
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
- * E-mail:
| | - William Hinton
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | - Andrew McGovern
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | - Jeremy van Vlymen
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | - Filipa Ferreira
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | | | | | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | - Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
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Hinton W, Feher M, Munro N, Walker M, de Lusignan S. Real-world prevalence of the inclusion criteria for the LEADER trial: Data from a national general practice network. Diabetes Obes Metab 2019; 21:1661-1667. [PMID: 30900349 PMCID: PMC6619442 DOI: 10.1111/dom.13710] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 02/27/2019] [Accepted: 03/20/2019] [Indexed: 12/13/2022]
Abstract
AIMS To explore the prevalence and describe the clinical characteristics of people with type 2 diabetes with a similar cardiovascular (CV) profile to that of the LEADER trial participants in a primary care setting in England. MATERIALS AND METHODS In this cross-sectional analysis, using the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) network database, we identified people with type 2 diabetes meeting the LEADER inclusion criteria. We identified people's CV risk factors using computerized medical records. Additionally, we assessed the prescription pattern of glucagon-like peptide-1 receptor agonists (GLP-1RAs) in this cohort. RESULTS Of 1 275 461 adults, we identified 84 394 with type 2 diabetes, of whom 14 000 (16.6%) met the LEADER inclusion criteria for established or high-risk CV disease (RCGP RSC-CVD group). The LEADER cohort was younger than the RCGP RSC-CVD group (64.2 vs 73.2 years), had higher mean glycated haemoglobin (71.6 vs 67.1 mmol/mol) and blood pressure (BP) values (systolic BP: 135.9 vs 132.9 mmHg; diastolic BP: 77.2 vs 72.7 mmHg), and a higher mean body mass index (32.5 vs 30.9 kg/m2 ). In the RCGP RSC-CVD group, only 1215 people (8.7%) had ever been prescribed a GLP-1RA and 760 (5.4%) had ever received liraglutide. CONCLUSIONS In a cohort of English general practice patients, one in six people with type 2 diabetes met the LEADER inclusion criteria, and less than one in 10 of these received liraglutide, a drug which has demonstrated CV benefits amongst others. There is scope to improve the outlook in people with type 2 diabetes and high CV risk through evidence-based use of specific GLP-1RAs.
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Affiliation(s)
- William Hinton
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - Michael Feher
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - Neil Munro
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
| | - Megan Walker
- Medical Affairs Department, Novo Nordisk LtdGatwickUK
| | - Simon de Lusignan
- Department of Clinical and Experimental MedicineUniversity of SurreyGuildfordUK
- Royal College of General PractitionersResearch and Surveillance CentreLondonUK
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Hinton W, Feher MD, Munro N, de Lusignan S. How Generalizable Are Cardiovascular Outcome Trials of Sodium-Glucose Co-Transporter-2 Inhibitors? A National Database Study: Study Protocol. Diabetes Ther 2019; 10:1163-1170. [PMID: 31041781 PMCID: PMC6531500 DOI: 10.1007/s13300-019-0620-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Indexed: 01/14/2023] Open
Abstract
INTRODUCTION Sodium-glucose co-transporter-2 (SGLT2) inhibitors are oral antihyperglycemic agents for the treatment of people with type 2 diabetes (T2DM). Two recent cardiovascular outcome trials (CVOTs), the EMPA-REG OUTCOME trial and CANVAS Program, have demonstrated that SGLT2 inhibitors have cardiovascular benefit in high-risk cardiovascular patients. The aim of our study will be to identify the prevalence of patients in an English primary care setting with the equivalent cardiovascular risk profile to those included in each of four SGLT2 inhibitor CVOTs: CANVAS, DECLARE, EMPA-REG, and VERTIS CV. METHODS Routinely collected primary care data from the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) network database will be used. We will perform a cross-sectional analysis to calculate the prevalence of people that have equivalent cardiovascular risk to participants included in each of the four above-mentioned SGLT2 inhibitor CVOTs. The demographic and clinical characteristics of the subgroups will also be compared with participants in each trial. The study cohort will include people with T2DM in the RCGP RSC dataset. Subgroups of people will be identified using Read codes that most closely match the inclusion criteria of each trial. Descriptive statistics will be used to report the characteristics of people at high cardiovascular risk and compared against those of people in each CVOT. PLANNED OUTPUTS Findings from the study will be submitted for publication in a peer-reviewed journal to report the applicability of each SGLT2 inhibitor trial to real-world clinical practice. FUNDING AstraZeneca UK Limited.
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Affiliation(s)
- William Hinton
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, GU2 7XP, UK
| | - Michael D Feher
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, GU2 7XP, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, GU2 7XP, UK
| | - Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, GU2 7XP, UK.
- Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK.
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de Lusignan S, Hinton W, Konstantara E, Munro N, Whyte M, Mount J, Feher M. Intensification to injectable therapy in type 2 diabetes: mixed methods study (protocol). BMC Health Serv Res 2019; 19:284. [PMID: 31053136 PMCID: PMC6499968 DOI: 10.1186/s12913-019-4112-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 04/22/2019] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND In the UK, type 2 diabetes mellitus (T2D) is largely managed in primary care. Delay in the intensification to injectable therapy, a form of clinical inertia, is associated with worse glycaemic control. UK general practice is highly computerised, with care being recorded on computerised medical record systems; this allows for quantitative analysis of clinical care but not of the underpinning decision-making process. The aim of this study is to investigate perceptions of patients and clinicians in primary care on the initiation of injectable therapies in T2D, and the context within which those decisions are made. METHODS This is a mixed methods study, taking a "realist evaluation" approach. The qualitative components comprise focus groups, interviews, and video recordings of simulated surgeries; the quantitative analysis: an overview of participating practices, elements of the video recording, and an online survey. We will recruit primary care clinicians (general practitioners and nurses) and patients from a representative sample of practices within the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) network. Participants will be patients with T2D, and primary care clinicians. Focus groups and semi-structured interviews will be recorded, transcribed verbatim and analysed using Framework Analysis. The simulated surgeries will include cases that might be escalated to injectable therapy. The consultation will be reviewed using the Calgary-Cambridge model to assess communication and determination of adherence to national prescribing guidelines. We will conduct multi-channel video recording including screen capture, clinician and patient facial expressions, wide angle view of the consultation, and the computerised medical record screen. This allows annotation and qualitative analysis of the video recordings, and statistical analyses for the quantitative data. We will also conduct an online survey of primary care clinicians' attitudes to, and perceptions of, initiation of injectable therapies, which will be analysed using summary statistics. DISCUSSION Results aim to provide a detailed insight into the dynamic two-way decision-making process underpinning use of injectable therapy for T2D. The study will provide insights into clinical practice and enable the development of training, interventions and guidelines that may facilitate, where appropriate, the intensification to injectable therapy.
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Affiliation(s)
- Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, The Leggett Building, Daphne Jackson Rd, Guildford, GU2 7XP, UK. .,Research and Surveillance Centre (RSC), Royal College of Practitioners (RCGP), 30 Euston Square, London, NW1 2FN, UK.
| | - William Hinton
- Department of Clinical and Experimental Medicine, University of Surrey, The Leggett Building, Daphne Jackson Rd, Guildford, GU2 7XP, UK
| | - Emmanouela Konstantara
- Department of Clinical and Experimental Medicine, University of Surrey, The Leggett Building, Daphne Jackson Rd, Guildford, GU2 7XP, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, The Leggett Building, Daphne Jackson Rd, Guildford, GU2 7XP, UK
| | - Martin Whyte
- Department of Clinical and Experimental Medicine, University of Surrey, The Leggett Building, Daphne Jackson Rd, Guildford, GU2 7XP, UK
| | - Julie Mount
- Real World Evidence, Eli Lilly and Company, Lilly House, Priestly Road, Basingstoke, Hampshire, RG24 9NL, UK
| | - Michael Feher
- Department of Clinical and Experimental Medicine, University of Surrey, The Leggett Building, Daphne Jackson Rd, Guildford, GU2 7XP, UK
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Greiver M, Kalia S, Voruganti T, Aliarzadeh B, Moineddin R, Hinton W, Dawes M, Sullivan F, Syed S, Williams J, de Lusignan S. Trends in end digit preference for blood pressure and associations with cardiovascular outcomes in Canadian and UK primary care: a retrospective observational study. BMJ Open 2019; 9:e024970. [PMID: 30679298 PMCID: PMC6347875 DOI: 10.1136/bmjopen-2018-024970] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES To study systematic errors in recording blood pressure (BP) as measured by end digit preference (EDP); to determine associations between EDP, uptake of Automated Office BP (AOBP) machines and cardiovascular outcomes. DESIGN Retrospective observational study using routinely collected electronic medical record data from 2006 to 2015 and a survey on year of AOBP acquisition in Toronto, Canada in 2017. SETTING Primary care practices in Canada and the UK. PARTICIPANTS Adults aged 18 years or more. MAIN OUTCOME MEASURES Mean rates of EDP and change in rates. Rates of EDP following acquisition of an AOBP machine. Associations between site EDP levels and mean BP. Associations between site EDP levels and frequency of cardiovascular outcomes. RESULTS 707 227 patients in Canada and 1 558 471 patients in the UK were included. From 2006 to 2015, the mean rate of BP readings with both systolic and diastolic pressure ending in zero decreased from 26.6% to 15.4% in Canada and from 24.2% to 17.3% in the UK. Systolic BP readings ending in zero decreased from 41.8% to 32.5% in the 3 years following the purchase of an AOBP machine. Sites with high EDP had a mean systolic BP of 2.0 mm Hg in Canada, and 1.7 mm Hg in the UK, lower than sites with no or low EDP. Patients in sites with high levels of EDP had a higher frequency of stroke (standardised morbidity ratio (SMR) 1.15, 95% CI 1.12 to 1.17), myocardial infarction (SMR 1.16, 95% CI 1.14 to 1.19) and angina (SMR 1.25, 95% CI 1.22 to 1.28) than patients in sites with no or low EDP. CONCLUSIONS Acquisition of an AOBP machine was associated with a decrease in EDP levels. Sites with higher rates of EDP had lower mean BPs and a higher frequency of adverse cardiovascular outcomes. The routine use of manual office-based BP measurement should be reconsidered.
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Affiliation(s)
- Michelle Greiver
- Department of Family and Community Medicine, North York General Hospital, Toronto, Ontario, Canada
- North York General Hospital, Toronto, Ontario, Canada
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sumeet Kalia
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Teja Voruganti
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Babak Aliarzadeh
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Rahim Moineddin
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - William Hinton
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Martin Dawes
- Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada
| | - Frank Sullivan
- Medical School, University of St Andrews, St Andrews, UK
| | - Saddaf Syed
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - John Williams
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
- Royal College of General Practice Research and Surveillance Centre, St Andrews, UK
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Lemanska A, Byford RC, Cruickshank C, Dearnaley DP, Ferreira F, Griffin C, Hall E, Hinton W, De Lusignan S, Sherlock J, Tomkinson K, Van Vlymen J, Faithfull S. Extracting primary care records for prostate cancer patients in the CHHiP multicentre randomised control trial: A healthcare data linkage study. Int J Popul Data Sci 2018. [DOI: 10.23889/ijpds.v3i4.741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
Abstract
IntroductionThe aim is to investigate the effect of cardiovascular and diabetes comorbidities on radiotherapy-related side-effects in prostate cancer. Previous research suggests that comorbidities increase the risk of side-effects, but some cardiovascular medications may reduce symptoms by protecting against radiation damage. The evidence is inconclusive and mechanisms are not fully understood.
ObjectiveTo explore whether routine primary care data can supplement clinical trial data in evaluating the impact of comorbidities and prescription medications on patient outcomes.
ApproachThe CHHiP radiotherapy trial (CRUK/06/16) recruited 3,216 prostate cancer patients from 71 centres in UK, Ireland, Switzerland, and New Zealand between 2002 and 2011. Baseline comorbidity and radiotherapy-related side-effects over time were recorded. This was linked to computerised medical records (CMRs) from the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) database. RCGP RSC is a network of 192 English general practices with over 2 million patients (2.8% of the population).
ResultsThe English population of CHHiP patients (N=2811) was used. 120 CMRs were linked, which exceeded the estimation of 79 linked records. However, six CMRs showed no evidence of regular GP care and a further eight patients were not recruited into the CHHiP trial until after they had de-registered from an RCGP RSC practice.
Information on cardiovascular and diabetes comorbidities was extracted for 106 patients. The mean age was 69±7 years, representative of the CHHiP population. From the CMRs, 23 (22%) patients had diabetes and 47 (44%) had hypertension including 37 (35%) who took angiotensin converting enzyme (ACE) inhibitors (medications lowering blood pressure). In addition, 44 (41%) patients took aspirin, 65 (61%) statins (lowering blood lipids) and 14 (13%) took metformin (lowering blood sugar levels).
Conclusion/ImplicationsThe small sample limits statistical analysis. However, a clinical trial was successfully linked to GP data to determine comorbidities and medications of patients. This will serve as a pilot for further research. The advantage of data linkage is that it may provide a mechanism for long-term follow-up of radiotherapy-related side-effects.
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Hinton W, McGovern A, Coyle R, Han TS, Sharma P, Correa A, Ferreira F, de Lusignan S. Incidence and prevalence of cardiovascular disease in English primary care: a cross-sectional and follow-up study of the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC). BMJ Open 2018; 8:e020282. [PMID: 30127048 PMCID: PMC6104756 DOI: 10.1136/bmjopen-2017-020282] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Revised: 06/19/2018] [Accepted: 07/23/2018] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVES To describe incidence and prevalence of cardiovascular disease (CVD), its risk factors, medication prescribed to treat CVD and predictors of CVD within a nationally representative dataset. DESIGN Cross-sectional study of adults with and without CVD. SETTING The Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) is an English primary care sentinel network. RCGP RSC is over 50 years old and one of the oldest in Europe. Practices receive feedback about data quality. This database is primarily used to conduct surveillance and research into influenza, infections and vaccine effectiveness but is also a rich resource for the study of non-communicable disease (NCD). The RCGP RSC network comprised 164 practices at the time of study. RESULTS Data were extracted from the records of 1 275 174 adults. Approximately a fifth (21.3%; 95% CI 21.2% to 21.4%) had CVD (myocardial infarction (MI), angina, atrial fibrillation (AF), peripheral arterial disease, stroke/transient ischaemic attack (TIA), congestive cardiac failure) or hypertension. Smoking, unsafe alcohol consumption and obesity were more common among people with CVD. Angiotensin system modulating drugs, 3-hydroxy-3-methylglutaryl-coenzyme (HMG-CoA) reductase inhibitors (statins) and calcium channel blockers were the most commonly prescribed CVD medications. Age-adjusted and gender-adjusted annual incidence for AF was 28.2/10 000 (95% CI 27.8 to 28.7); stroke/TIA 17.1/10 000 (95% CI 16.8 to 17.5) and MI 9.8/10 000 (95% CI 9.5 to 10.0). Logistic regression analyses confirmed established CVD risk factors were associated with CVD in the RCGP RSC network dataset. CONCLUSIONS The RCGP RSC database provides comprehensive information on risk factors, medical diagnosis, physiological measurements and prescription history that could be used in CVD research or pharmacoepidemiology. With the exception of MI, the prevalence of CVDs was higher than in other national data, possibly reflecting data quality. RCGP RSC is an underused resource for research into NCDs and their management and welcomes collaborative opportunities.
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Affiliation(s)
- William Hinton
- Section of Clinical Medicine & Ageing, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
| | - Andrew McGovern
- Section of Clinical Medicine & Ageing, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
| | - Rachel Coyle
- Section of Clinical Medicine & Ageing, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
| | - Thang S Han
- Section of Clinical Medicine & Ageing, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
- Institute of Cardiovascular Research, Royal Holloway University of London, Egham, UK
- Department of Endocrinology, Ashford and St Peter’s NHS Foundation Trust, Chertsey, UK
| | - Pankaj Sharma
- Section of Clinical Medicine & Ageing, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
- Institute of Cardiovascular Research, Royal Holloway University of London, Egham, UK
| | - Ana Correa
- Section of Clinical Medicine & Ageing, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
- Royal College of General Practitioners, Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK
| | - Filipa Ferreira
- Section of Clinical Medicine & Ageing, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Section of Clinical Medicine & Ageing, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
- Royal College of General Practitioners, Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK
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Ansari AS, de Lusignan S, Hinton W, Munro N, Taylor S, McGovern A. Glycemic control is an important modifiable risk factor for uveitis in patients with diabetes: A retrospective cohort study establishing clinical risk and ophthalmic disease burden. J Diabetes Complications 2018; 32:602-608. [PMID: 29656910 DOI: 10.1016/j.jdiacomp.2018.03.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [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: 09/20/2017] [Revised: 03/04/2018] [Accepted: 03/17/2018] [Indexed: 01/27/2023]
Abstract
AIM To characterize the risk uveitis, scleritis or episcleritis in relation to diabetes, glycaemic control, and co-existence of retinopathy. METHODS Using the Royal College of General Practitioners Research and Surveillance Centre database, we established the prevalence of acute uveitis and scleritis or episcleritis over a six-year period among populations without(n = 889,856) and with diabetes(n = 48,584). We evaluated the impact of glycaemic control on disease risk. Regression modeling was used to identify associations, adjusting for clinical and demographic confounders. RESULTS Incidence of acute uveitis was higher among patients with diabetes; Type 1 OR:2.01 (95% CI 1.18-3.41; p = 0.009), and Type 2 OR:1.23 (1.05-1.44; p = 0.01). Glycaemic control was established as an important effect modifier for uveitis risk, whereby those with poorer control suffered higher disease burden. Results confirmed a dose-response relationship such that very poor glycaemic control OR:4.72 (2.58-8.65; p < 0.001), poor control OR:1.57 (1.05-2.33; p = 0.03) and moderate control OR:1.20 (0.86-1.68; p = 0.29) were predictive of uveitis. Similar results were observed when evaluating retinopathy staging: proliferative retinopathy OR:2.42 (1.25-4.69; p = 0.01). These results were not maintained for scleritis or episcleritis. CONCLUSION Acute uveitis is more common in patients with diabetes; at highest risk are those with type 1 disease with poor glycaemic control. Glycaemic improvements may prevent recurrence.
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Affiliation(s)
- Abdus Samad Ansari
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK.
| | - Simon de Lusignan
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK
| | - William Hinton
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK
| | - Neil Munro
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK
| | - Simon Taylor
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK
| | - Andrew McGovern
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK
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Hinton W, Feher M, Munro N, de Lusignan S. Does Real World Use of Liraglutide Match its Use in the LEADER Cardiovascular Outcome Trial? Study Protocol. Diabetes Ther 2018; 9:1397-1402. [PMID: 29605893 PMCID: PMC5984905 DOI: 10.1007/s13300-018-0390-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Liraglutide is an injectable therapy to treat type 2 diabetes (T2DM), belonging to the glucagon-like peptide-1 receptor agonist class of drugs. The Liraglutide Effect and Action in Diabetes: Evaluation of Cardiovascular Outcome Results (LEADER) trial established that liraglutide demonstrated glucose-lowering benefits and improved cardiovascular outcomes in those individuals with T2DM at high cardiovascular risk. AIMS The aim of this study is to report the prevalence and characteristics of people treated with liraglutide compared with the LEADER trial. In addition, the remaining portion of the T2DM population will be examined to determine the prevalence of those who meet the inclusion criteria for the LEADER trial but who are not treated with this medication. STUDY DESIGN AND METHODS This is a cross-sectional analysis of routinely collected primary care data on all people with T2DM included in the Royal College of General Practitioners (RCGP) Research and Surveillance Center (RSC) network database. People with T2DM will be identified from the dataset using a well-established ontological process. Read and other clinical codes will be used to identify people prescribed liraglutide and those at high cardiovascular risk. We will use descriptive statistics to report the characteristics of people with T2DM prescribed liraglutide compared with those of the LEADER trial and the proportion of the wider T2DM cohort that matches the LEADER inclusion criteria. In terms of ethical considerations, this study used pseudonymized data, and was classed as an "Audit of current practice". PLANNED OUTPUTS The results of the study will be submitted for publication in a peer-reviewed journal to report the applicability of the results of the LEADER trial to real-world clinical practice. FUNDING Novo Nordisk Limited.
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Affiliation(s)
- William Hinton
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Michael Feher
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.
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McGovern A, Tippu Z, Hinton W, Munro N, Whyte M, de Lusignan S. Comparison of medication adherence and persistence in type 2 diabetes: A systematic review and meta-analysis. Diabetes Obes Metab 2018; 20:1040-1043. [PMID: 29135080 DOI: 10.1111/dom.13160] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [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: 07/24/2017] [Revised: 10/17/2017] [Accepted: 11/09/2017] [Indexed: 11/30/2022]
Abstract
Limited medication adherence and persistence with treatment are barriers to successful management of type 2 diabetes (T2D). We searched MEDLINE, EMBASE, the Cochrane Library, the Register of Controlled Trials, PsychINFO and CINAHL for observational and interventional studies that compared the adherence or persistence associated with 2 or more glucose-lowering medications in people with T2D. Where 5 or more studies provided the same comparison, a random-effects meta-analysis was performed, reporting mean difference (MD) or odds ratio (OR) for adherence or persistence, depending on the pooled study outcomes. We included a total of 48 studies. Compared with metformin, adherence (%) was better for sulphonylureas (5 studies; MD 10.6%, 95% confidence interval [CI] 6.5-14.7) and thiazolidinediones (TZDs; 6 studies; MD 11.3%, 95% CI 2.7%-20.0%). Adherence to TZDs was marginally better than adherence to sulphonylureas (5 studies; MD 1.5%, 95% CI 0.1-2.9). Dipeptidyl peptidase-4 inhibitors had better adherence than sulphonylureas and TZDs. Glucagon-like peptide-1 receptor agonists had higher rates of discontinuation than long-acting analogue insulins (6 studies; OR 1.95; 95% CI 1.17-3.27). Long-acting insulin analogues had better persistence than human insulins (5 studies; MD 43.1 days; 95% CI 22.0-64.2). The methods used to define adherence and persistence were highly variable.
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Affiliation(s)
- Andrew McGovern
- Section of Clinical Medicine and Aging, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Zayd Tippu
- Section of Clinical Medicine and Aging, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - William Hinton
- Section of Clinical Medicine and Aging, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Neil Munro
- Section of Clinical Medicine and Aging, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Martin Whyte
- Section of Clinical Medicine and Aging, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Section of Clinical Medicine and Aging, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
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McGovern A, Hinton W, Calderara S, Munro N, Whyte M, de Lusignan S. A Class Comparison of Medication Persistence in People with Type 2 Diabetes: A Retrospective Observational Study. Diabetes Ther 2018; 9:229-242. [PMID: 29302934 PMCID: PMC5801247 DOI: 10.1007/s13300-017-0361-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [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: 11/15/2017] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION Longer medication persistence in type 2 diabetes (T2D) is associated with improved glycaemic control. It is not clear which oral therapies have the best persistence. The objective of this study was to compare medication persistence across different oral therapies in people with T2D. METHODS We performed a retrospective cohort analysis using a primary-care-based population, the Royal College of General Practitioners Research and Surveillance Centre cohort. We identified new prescriptions for oral diabetes medication in people with type 2 diabetes between January 1, 2004 and July 31, 2015. We compared median persistence across each class. We also compared non-persistence (defined as a prescription gap of ≥ 90 days) between classes, adjusting for confounders, using Cox regression. Confounders included: age, gender, ethnicity, socioeconomic status, alcohol use, smoking status, glycaemic control, diabetes duration, diabetes complications, comorbidities, and number of previous and concurrent diabetes medications. RESULTS We identified 60,327 adults with T2D. The majority 42,810 (70.9%) of those had one or more oral medications prescribed; we measured persistence in those patients (who were prescribed 55,728 oral medications in total). Metformin had the longest median persistence (3.04 years; 95% CI 2.94-3.12). The adjusted hazard ratios for non-persistence compared with metformin were: sulfonylureas HR 1.20 (1.16-1.24), DPP-4 inhibitors HR 1.43 (1.38-1.49), thiazolidinediones HR 1.71 (95% CI 1.64-1.77), SGLT2 inhibitors HR 1.04 (0.93-1.17), meglitinides HR 2.25 (1.97-2.58), and alpha-glucosidase inhibitors HR 2.45 (1.98-3.02). The analysis of SGLT2 inhibitors was limited by the short duration of follow-up for this new class. Other factors associated with reduced medication persistence were female gender, younger age, and non-white ethnicity. CONCLUSIONS Persistence is strongly influenced by medication class and should be considered when initiating treatments.
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Affiliation(s)
- Andrew McGovern
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK.
| | - William Hinton
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK
| | | | - Neil Munro
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK
| | - Martin Whyte
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK
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Liyanage H, Liaw ST, Jonnagaddala J, Hinton W, de Lusignan S. Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs. Stud Health Technol Inform 2018; 255:60-64. [PMID: 30306907] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Common data models (CDM) have enabled the simultaneous analysis of disparate and large data sources. A literature review identified three relevant CDMs: The Observational Medical Outcomes Partnership (OMOP) was the most cited; next the Sentinel; and then the Patient Centered Outcomes Research Institute (PCORI). We tested these three CDMs with fifteen pre-defined criteria for a diabetes cohort study use case, assessing the benefit (good diabetes control), risk (hypoglycaemia) and cost effectiveness of recently licenced medications. We found all three CDMs have a useful role in planning collaborative research and enhance analysis of data cross jurisdiction. However, the number of pre-defined criteria achieved by these three CDMs varied. OMOP met 14/15, Sentinel 13/15, and PCORI 10/15. None met the privacy level we specified, and most of the other gaps were clinical and cost outcome related data.
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Affiliation(s)
- Harshana Liyanage
- Department of Clinical & Experimental Medicine, University of Surrey, UK
| | - Siaw-Teng Liaw
- School of Public Health & Community Medicine, UNSW Medicine Australia, Ingham Institute of Applied Medical Research, NSW, Australia
| | - Jitendra Jonnagaddala
- School of Public Health & Community Medicine, UNSW Medicine Australia, Ingham Institute of Applied Medical Research, NSW, Australia
| | - William Hinton
- Department of Clinical & Experimental Medicine, University of Surrey, UK
| | - Simon de Lusignan
- Department of Clinical & Experimental Medicine, University of Surrey, UK
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Hayward N, McGovern A, de Lusignan S, Cole N, Hinton W, Jones S. U-shaped relationship between serum phosphate and cardiovascular risk: A retrospective cohort study. PLoS One 2017; 12:e0184774. [PMID: 29117214 PMCID: PMC5695582 DOI: 10.1371/journal.pone.0184774] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 08/30/2017] [Indexed: 11/18/2022] Open
Abstract
Background High serum phosphate is associated with coronary artery disease in patients with normal and impaired renal function. We asked: Does the serum phosphate range provide prediction of primary cardiac events? We extracted coded primary care data for over 100,000 patients from a database of 135 primary medical practices. Patients aged between 18 and 90 years without pre-existing cardiovascular diagnoses were included from a potential sample of over 1·2 million individuals. Methods and findings Binary logistic regression models were used to evaluate the contribution of QRISK factors and electrolytes, including serum phosphate, to cardiac outcomes at five and nine years following an initial phosphate measurement. At five-year review (n = 113,993), low serum phosphate (OR 1·75, 95%CI 1·36–2·23, p<0·001), high-normal (OR 1·50, 95%CI 1·29–1·74, p<0·001), and high serum phosphate (OR 1·74, 95%CI 1·06–2·70, p = 0·02) were long-term risk factors for primary cardiac disease events after adjusting for confounding variables. A similar pattern was seen at our nine-year review. Conclusions The extremes of serum phosphate may confer cardiac event risk with a U-shaped trend. In particular, we raise new cardiac concerns for low serum phosphate in the general population. Also, the normal range for phosphate may require redefinition among healthy adults.
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Affiliation(s)
- Nicholas Hayward
- Department of Healthcare Management and Policy, University of Surrey, Guildford, United Kingdom
- * E-mail:
| | - Andrew McGovern
- Department of Healthcare Management and Policy, University of Surrey, Guildford, United Kingdom
| | - Simon de Lusignan
- Department of Healthcare Management and Policy, University of Surrey, Guildford, United Kingdom
| | - Nicholas Cole
- Department of Healthcare Management and Policy, University of Surrey, Guildford, United Kingdom
| | - William Hinton
- Department of Healthcare Management and Policy, University of Surrey, Guildford, United Kingdom
| | - Simon Jones
- Department of Healthcare Management and Policy, University of Surrey, Guildford, United Kingdom
- Center for Healthcare Innovation and Delivery Science, Department of Population Health, New York University School of Medicine, New York, New York, United States of America
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Ansari AS, de Lusignan S, Hinton W, Munro N, McGovern A. The association between diabetes, level of glycaemic control and eye infection: Cohort database study. Prim Care Diabetes 2017; 11:421-429. [PMID: 28648963 DOI: 10.1016/j.pcd.2017.05.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [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: 03/05/2017] [Revised: 05/26/2017] [Accepted: 05/26/2017] [Indexed: 02/07/2023]
Abstract
AIM To examine whether diabetes and the degree of glycaemic control is associated with an increased risk of acute eye infection, and prescribing of ocular antimicrobial agents. DESIGN AND SETTING A retrospective cohort study was carried out using the Royal College of General Practitioners Research and Surveillance Centre database (RCGP RSC), a large primary care database in the United Kingdom. We compared ocular infection rates in people aged ≥15 years without diabetes to those with diabetes, both type 1 and type 2. We developed logistic regression models to assess the excess risk in diabetes of: conjunctivitis, blepharitis, stye/chalzion, periorbital cellulitis, keratitis/keratoconjunctivitis, lacrimal gland infection, endopthalmitis, and ocular antimicrobial prescriptions over a six-year period (2010-2015). We also analysed the impact of glycaemic control on infection rates in those with diabetes. All models were adjusted for potential confounders. RESULTS We analysed infection risk in 889,856 people without diabetes and 48,584 people with diabetes (3273 type 1, and 45,311 type 2). After adjustment for confounders both type 1 and type 2 were associated with increased incidence of conjunctivitis (OR 1.61; 95% CI 1.38-1.88; p<0.0001 and OR 1.11; 95% CI 1.06-1.16; p<0.0001 respectively). No association was found with blepharitis, stye/chalzion, periorbital cellulitis, keratitis/keratoconjunctivitis, lacrimal gland infection, and endopthalmitis in the whole population. In subgroup analyses blepharitis was more common in those with type 1 diabetes under 50 years old and endopthalmitis in those under 50 with type 2 diabetes. Glycaemic control was not found to be associated with any infection. Diabetes was also associated with an increased incidence of antimicrobial prescriptions (Type 1 OR 1.69; 95% CI 1.51-1.88; p<0.0001 and type 2 OR 1.17; 95% CI 1.13-1.20; p<0.0001). CONCLUSIONS Conjunctivitis is recorded more frequently in people with diabetes. However, no substantial increase in recording of other ocular infections was noted. Infection risk was not found to be associated with the degree of glycaemic control.
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MESH Headings
- Administration, Ophthalmic
- Adolescent
- Adult
- Aged
- Anti-Infective Agents/administration & dosage
- Biomarkers/blood
- Blood Glucose/drug effects
- Blood Glucose/metabolism
- Databases, Factual
- Diabetes Mellitus, Type 1/blood
- Diabetes Mellitus, Type 1/diagnosis
- Diabetes Mellitus, Type 1/drug therapy
- Diabetes Mellitus, Type 1/epidemiology
- Diabetes Mellitus, Type 2/blood
- Diabetes Mellitus, Type 2/diagnosis
- Diabetes Mellitus, Type 2/drug therapy
- Diabetes Mellitus, Type 2/epidemiology
- Drug Prescriptions
- Eye Infections/diagnosis
- Eye Infections/drug therapy
- Eye Infections/epidemiology
- Female
- Glycated Hemoglobin/metabolism
- Humans
- Hypoglycemic Agents/therapeutic use
- Incidence
- Logistic Models
- Male
- Middle Aged
- Odds Ratio
- Retrospective Studies
- Risk Factors
- Time Factors
- Treatment Outcome
- United Kingdom/epidemiology
- Young Adult
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Affiliation(s)
- Abdus Samad Ansari
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK.
| | - Simon de Lusignan
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK
| | - William Hinton
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK
| | - Neil Munro
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK
| | - Andrew McGovern
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK
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Hinton W, Liyanage H, McGovern A, Liaw ST, Kuziemsky C, Munro N, de Lusignan S. Measuring Quality of Healthcare Outcomes in Type 2 Diabetes from Routine Data: a Seven-nation Survey Conducted by the IMIA Primary Health Care Working Group. Yearb Med Inform 2017; 26:201-208. [PMID: 28480471 PMCID: PMC6250989 DOI: 10.15265/iy-2017-005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background: The Institute of Medicine framework defines six dimensions of quality for healthcare systems: (1) safety, (2) effectiveness, (3) patient centeredness, (4) timeliness of care, (5) efficiency, and (6) equity. Large health datasets provide an opportunity to assess quality in these areas. Objective: To perform an international comparison of the measurability of the delivery of these aims, in people with type 2 diabetes mellitus (T2DM) from large datasets. Method: We conducted a survey to assess healthcare outcomes data quality of existing databases and disseminated this through professional networks. We examined the data sources used to collect the data, frequency of data uploads, and data types used for identifying people with T2DM. We compared data completeness across the six areas of healthcare quality, using selected measures pertinent to T2DM management. Results: We received 14 responses from seven countries (Australia, Canada, Italy, the Netherlands, Norway, Portugal, Turkey and the UK). Most databases reported frequent data uploads and would be capable of near real time analysis of healthcare quality.The majority of recorded data related to safety (particularly medication adverse events) and treatment efficacy (glycaemic control and microvascular disease). Data potentially measuring equity was less well recorded. Recording levels were lowest for patient-centred care, timeliness of care, and system efficiency, with the majority of databases containing no data in these areas. Databases using primary care sources had higher data quality across all areas measured. Conclusion: Data quality could be improved particularly in the areas of patient-centred care, timeliness, and efficiency. Primary care derived datasets may be most suited to healthcare quality assessment.
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Affiliation(s)
- W. Hinton
- Clinical Informatics & Health Outcomes Research Group, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, Surrey, UK
| | - H. Liyanage
- Clinical Informatics & Health Outcomes Research Group, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, Surrey, UK
| | - A. McGovern
- Clinical Informatics & Health Outcomes Research Group, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, Surrey, UK
| | - S.-T. Liaw
- School of Public Health & Community Medicine, UNSW Medicine, Australia
| | - C. Kuziemsky
- Telfer School of Management, University of Ottawa, Ottawa, Ontario, Canada
| | - N. Munro
- Clinical Informatics & Health Outcomes Research Group, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, Surrey, UK
| | - S. de Lusignan
- Clinical Informatics & Health Outcomes Research Group, Department of Clinical & Experimental Medicine, University of Surrey, Guildford, Surrey, UK
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Ansari AS, de Lusignan S, Arrowsmith B, Hinton W, Munro N, McGovern A. Association Between Diabetes, Level of Glycemic Control, and Eye Infection: A Cohort Study. Diabetes Care 2017; 40:e30-e31. [PMID: 28034859 DOI: 10.2337/dc16-2320] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2016] [Accepted: 11/28/2016] [Indexed: 02/03/2023]
Affiliation(s)
- Abdus Samad Ansari
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, U.K.
| | - Simon de Lusignan
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, U.K
| | - Barbara Arrowsmith
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, U.K
| | - William Hinton
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, U.K
| | - Neil Munro
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, U.K
| | - Andrew McGovern
- Section of Clinical Medicine and Ageing, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, U.K
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McGovern A, Hinton W, Correa A, Munro N, Whyte M, de Lusignan S. Real-world evidence studies into treatment adherence, thresholds for intervention and disparities in treatment in people with type 2 diabetes in the UK. BMJ Open 2016; 6:e012801. [PMID: 27884846 PMCID: PMC5168506 DOI: 10.1136/bmjopen-2016-012801] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Revised: 09/21/2016] [Accepted: 11/03/2016] [Indexed: 01/14/2023] Open
Abstract
PURPOSE The University of Surrey-Lilly Real World Evidence (RWE) diabetes cohort has been established to provide insights into the management of type 2 diabetes mellitus (T2DM). There are 3 areas of study due to be conducted to provide insights into T2DM management: exploration of medication adherence, thresholds for changing diabetes therapies, and ethnicity-related or socioeconomic-related disparities in management. This paper describes the identification of a cohort of people with T2DM which will be used for these analyses, through a case finding algorithm, and describes the characteristics of the identified cohort. PARTICIPANTS A cohort of people with T2DM was identified from the Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) data set. This data set comprises electronic patient records collected from a nationally distributed sample of 130 primary care practices across England with scope to increase the number of practices to 200. FINDINGS TO DATE A cohort (N=58 717) of adults with T2DM was identified from the RCGP RSC population (N=1 260 761), a crude prevalence of diabetes of 5.8% in the adult population. High data quality within the practice network and an ontological approach to classification resulted in a high level of data completeness in the T2DM cohort; ethnicity identification (82.1%), smoking status (99.3%), alcohol use (93.3%), glycated haemoglobin (HbA1c; 97.9%), body mass index (98.0%), blood pressure (99.4%), cholesterol (87.4%) and renal function (97.8%). Data completeness compares favourably to other, similarly large, observational cohorts. The cohort comprises a distribution of ages, socioeconomic and ethnic backgrounds, diabetes complications, and comorbidities, enabling the planned analyses. FUTURE PLANS Regular data uploads from the RCGP RSC practice network will enable this cohort to be followed prospectively. We will investigate medication adherence, explore thresholds and triggers for changing diabetes therapies, and investigate any ethnicity-related or socioeconomic-related disparities in diabetes management.
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Affiliation(s)
- Andrew McGovern
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - William Hinton
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Ana Correa
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Martin Whyte
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
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De Lusignan S, Williams J, Hinton W, Munro N. Commentary: A lack of a comparator group makes it hard to be sure whether computerised medical record system implementation achieved a better or worse outcome. J Innov Health Inform 2016; 23:867. [PMID: 27348492 DOI: 10.14236/jhi.v23i1.867] [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: 03/28/2016] [Accepted: 03/28/2016] [Indexed: 11/18/2022] Open
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Correa A, Hinton W, McGovern A, van Vlymen J, Yonova I, Jones S, de Lusignan S. Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) sentinel network: a cohort profile. BMJ Open 2016; 6:e011092. [PMID: 27098827 PMCID: PMC4838708 DOI: 10.1136/bmjopen-2016-011092] [Citation(s) in RCA: 148] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
PURPOSE The Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) is one of the longest established primary care sentinel networks. In 2015, it established a new data and analysis hub at the University of Surrey. This paper evaluates the representativeness of the RCGP RSC network against the English population. PARTICIPANTS AND METHOD The cohort includes 1 042 063 patients registered in 107 participating general practitioner (GP) practices. We compared the RCGP RSC data with English national data in the following areas: demographics; geographical distribution; chronic disease prevalence, management and completeness of data recording; and prescribing and vaccine uptake. We also assessed practices within the network participating in a national swabbing programme. FINDINGS TO DATE We found a small over-representation of people in the 25-44 age band, under-representation of white ethnicity, and of less deprived people. Geographical focus is in London, with less practices in the southwest and east of England. We found differences in the prevalence of diabetes (national: 6.4%, RCPG RSC: 5.8%), learning disabilities (national: 0.44%, RCPG RSC: 0.40%), obesity (national: 9.2%, RCPG RSC: 8.0%), pulmonary disease (national: 1.8%, RCPG RSC: 1.6%), and cardiovascular diseases (national: 1.1%, RCPG RSC: 1.2%). Data completeness in risk factors for diabetic population is high (77-99%). We found differences in prescribing rates and costs for infections (national: 5.58%, RCPG RSC: 7.12%), and for nutrition and blood conditions (national: 6.26%, RCPG RSC: 4.50%). Differences in vaccine uptake were seen in patients aged 2 years (national: 38.5%, RCPG RSC: 32.8%). Owing to large numbers, most differences were significant (p<0.00015). FUTURE PLANS The RCGP RSC is a representative network, having only small differences with the national population, which have now been quantified and can be assessed for clinical relevance for specific studies. This network is a rich source for research into routine practice.
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Affiliation(s)
- Ana Correa
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
- Royal College of General Practitioners, London, UK
| | - William Hinton
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Andrew McGovern
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Jeremy van Vlymen
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Ivelina Yonova
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
- Royal College of General Practitioners, London, UK
| | - Simon Jones
- Division of Healthcare Delivery Science, New York University, New York, NY, USA
| | - Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
- Royal College of General Practitioners, London, UK
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Abstract
INTRODUCTION Treatment options for type 2 diabetes are becoming increasingly complex with people often prescribed multiple medications, and may include both oral and injectable therapies. There is ongoing debate about which drug classes provide the optimum second-line and third-line treatment options. In the real world, patient adherence and persistence determines medication effectiveness. A better understanding of adherence may help inform the choice of second-line and third-line drug classes. METHODS AND ANALYSIS This systematic review will compare adherence and persistence rates across the different classes of medication available to people with type 2 diabetes. It will include all identified studies comparing medication adherence or persistence between two or more glucose-lowering medications in people with type 2 diabetes. Research databases (MEDLINE, EMBASE, The Cochrane Library, The Register of Controlled Trials, PsychINFO and CINAHL) will be searched for relevant articles, using a comprehensive search strategy. All identified medication trials and observational studies will be included which compare adherence or persistence across classes of diabetes medication. The characteristics and outcomes of all the included studies will be reported along with a study quality grade, assessed using the Cochrane Risk Assessment Tool. The quality of adjustment for confounders of adherence or persistence will be reported for each study. Where multiple (n ≥ 3) studies provide compare adherence or persistence across the same 2 medication classes, a meta-analysis will be performed. ETHICS AND DISSEMINATION No ethics approval is required. This review and meta-analysis (where possible) will provide important information on the relative patient adherence and persistence, with the different classes of diabetes therapies. Once complete, the results will be made available by peer-reviewed publication. TRIAL REGISTRATION NUMBER CRD42015027865.
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Affiliation(s)
- Andrew McGovern
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK
| | - Zayd Tippu
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK
| | - William Hinton
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK
| | - Neil Munro
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK
| | - Martin Whyte
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Section of Clinical Medicine and Aging, University of Surrey, Guildford, UK
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47
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Huber GM, Blok HP, Butuceanu C, Gaskell D, Horn T, Mack DJ, Abbott D, Aniol K, Anklin H, Armstrong C, Arrington J, Assamagan K, Avery S, Baker OK, Barrett B, Beise EJ, Bochna C, Boeglin W, Brash EJ, Breuer H, Chang CC, Chant N, Christy ME, Dunne J, Eden T, Ent R, Fenker H, Gibson EF, Gilman R, Gustafsson K, Hinton W, Holt RJ, Jackson H, Jin S, Jones MK, Keppel CE, Kim PH, Kim W, King PM, Klein A, Koltenuk D, Kovaltchouk V, Liang M, Liu J, Lolos GJ, Lung A, Margaziotis DJ, Markowitz P, Matsumura A, McKee D, Meekins D, Mitchell J, Miyoshi T, Mkrtchyan H, Mueller B, Niculescu G, Niculescu I, Okayasu Y, Pentchev L, Perdrisat C, Pitz D, Potterveld D, Punjabi V, Qin LM, Reimer PE, Reinhold J, Roche J, Roos PG, Sarty A, Shin IK, Smith GR, Stepanyan S, Tang LG, Tadevosyan V, Tvaskis V, van der Meer RLJ, Vansyoc K, Van Westrum D, Vidakovic S, Volmer J, Vulcan W, Warren G, Wood SA, Xu C, Yan C, Zhao WX, Zheng X, Zihlmann B. Separated response function ratios in exclusive, forward π(±) electroproduction. Phys Rev Lett 2014; 112:182501. [PMID: 24856691 DOI: 10.1103/physrevlett.112.182501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2014] [Indexed: 06/03/2023]
Abstract
The study of exclusive π(±) electroproduction on the nucleon, including separation of the various structure functions, is of interest for a number of reasons. The ratio RL=σL(π-)/σL(π+) is sensitive to isoscalar contamination to the dominant isovector pion exchange amplitude, which is the basis for the determination of the charged pion form factor from electroproduction data. A change in the value of RT=σT(π-)/σT(π+) from unity at small -t, to 1/4 at large -t, would suggest a transition from coupling to a (virtual) pion to coupling to individual quarks. Furthermore, the mentioned ratios may show an earlier approach to perturbative QCD than the individual cross sections. We have performed the first complete separation of the four unpolarized electromagnetic structure functions above the dominant resonances in forward, exclusive π(±) electroproduction on the deuteron at central Q(2) values of 0.6, 1.0, 1.6 GeV(2) at W=1.95 GeV, and Q(2)=2.45 GeV(2) at W=2.22 GeV. Here, we present the L and T cross sections, with emphasis on RL and RT, and compare them with theoretical calculations. Results for the separated ratio RL indicate dominance of the pion-pole diagram at low -t, while results for RT are consistent with a transition between pion knockout and quark knockout mechanisms.
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Affiliation(s)
- G M Huber
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - H P Blok
- VU university, NL-1081 HV Amsterdam, The Netherlands and NIKHEF, Postbus 41882, NL-1009 DB Amsterdam, The Netherlands
| | - C Butuceanu
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Horn
- Catholic University of America, Washington, DC 20064, USA
| | - D J Mack
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Abbott
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Aniol
- California State University Los Angeles, Los Angeles, California 90032, USA
| | - H Anklin
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Florida International University, Miami, Florida 33119, USA
| | - C Armstrong
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - J Arrington
- Physics Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - K Assamagan
- Hampton University, Hampton, Virginia 23668, USA
| | - S Avery
- Hampton University, Hampton, Virginia 23668, USA
| | - O K Baker
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Hampton University, Hampton, Virginia 23668, USA
| | - B Barrett
- Saint Mary's University, Halifax, Nova Scotia B3H 3C3 Canada
| | - E J Beise
- University of Maryland, College Park, Maryland 20742, USA
| | - C Bochna
- University of Illinois, Champaign, Illinois 61801, USA
| | - W Boeglin
- Florida International University, Miami, Florida 33119, USA
| | - E J Brash
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - H Breuer
- University of Maryland, College Park, Maryland 20742, USA
| | - C C Chang
- University of Maryland, College Park, Maryland 20742, USA
| | - N Chant
- University of Maryland, College Park, Maryland 20742, USA
| | - M E Christy
- Hampton University, Hampton, Virginia 23668, USA
| | - J Dunne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Eden
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Norfolk State University, Norfolk, Virginia 23504, USA
| | - R Ent
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Fenker
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E F Gibson
- California State University, Sacramento, California 95819, USA
| | - R Gilman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, USA
| | - K Gustafsson
- University of Maryland, College Park, Maryland 20742, USA
| | - W Hinton
- Hampton University, Hampton, Virginia 23668, USA
| | - R J Holt
- Physics Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Jackson
- Physics Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - S Jin
- Kyungpook National University, Daegu 702-701, Republic of Korea
| | - M K Jones
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - C E Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Hampton University, Hampton, Virginia 23668, USA
| | - P H Kim
- Kyungpook National University, Daegu 702-701, Republic of Korea
| | - W Kim
- Kyungpook National University, Daegu 702-701, Republic of Korea
| | - P M King
- University of Maryland, College Park, Maryland 20742, USA
| | - A Klein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - D Koltenuk
- University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - V Kovaltchouk
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - M Liang
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Liu
- University of Maryland, College Park, Maryland 20742, USA
| | - G J Lolos
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - A Lung
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D J Margaziotis
- California State University Los Angeles, Los Angeles, California 90032, USA
| | - P Markowitz
- Florida International University, Miami, Florida 33119, USA
| | | | - D McKee
- New Mexico State University, Las Cruces, New Mexico 88003-8001, USA
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Mitchell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - H Mkrtchyan
- A.I. Alikhanyan National Science Laboratory, Yerevan 0036, Armenia
| | - B Mueller
- Physics Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - I Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | | | - L Pentchev
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - C Perdrisat
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - D Pitz
- DAPNIA/SPhN, CEA/Saclay, F-91191 Gif-sur-Yvette, France
| | - D Potterveld
- Physics Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - L M Qin
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - P E Reimer
- Physics Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - J Reinhold
- Florida International University, Miami, Florida 33119, USA
| | - J Roche
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P G Roos
- University of Maryland, College Park, Maryland 20742, USA
| | - A Sarty
- Saint Mary's University, Halifax, Nova Scotia B3H 3C3 Canada
| | - I K Shin
- Kyungpook National University, Daegu 702-701, Republic of Korea
| | - G R Smith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Stepanyan
- A.I. Alikhanyan National Science Laboratory, Yerevan 0036, Armenia
| | - L G Tang
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Hampton University, Hampton, Virginia 23668, USA
| | - V Tadevosyan
- A.I. Alikhanyan National Science Laboratory, Yerevan 0036, Armenia
| | - V Tvaskis
- VU university, NL-1081 HV Amsterdam, The Netherlands and NIKHEF, Postbus 41882, NL-1009 DB Amsterdam, The Netherlands
| | | | - K Vansyoc
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - D Van Westrum
- University of Colorado, Boulder, Colorado 80309, USA
| | - S Vidakovic
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - J Volmer
- VU university, NL-1081 HV Amsterdam, The Netherlands and DESY, Hamburg, Germany
| | - W Vulcan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G Warren
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S A Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Xu
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - C Yan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W-X Zhao
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - X Zheng
- Physics Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - B Zihlmann
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and University of Virginia, Charlottesville, Virginia 22901, USA
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48
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Boeglin WU, Coman L, Ambrozewicz P, Aniol K, Arrington J, Batigne G, Bosted P, Camsonne A, Chang G, Chen JP, Choi S, Deur A, Epstein M, Finn JM, Frullani S, Furget C, Garibaldi F, Gayou O, Gilman R, Hansen O, Hayes D, Higinbotham DW, Hinton W, Hyde C, Ibrahim H, de Jager CW, Jiang X, Jones MK, Kaufman LJ, Klein A, Kox S, Kramer L, Kumbartzki G, Laget JM, LeRose J, Lindgren R, Margaziotis DJ, Markowitz P, McCormick K, Meziani Z, Michaels R, Milbrath B, Mitchell J, Monaghan P, Moteabbed M, Moussiegt P, Nasseripour R, Paschke K, Perdrisat C, Piasetzky E, Punjabi V, Qattan IA, Quéméner G, Ransome RD, Raue B, Réal JS, Reinhold J, Reitz B, Roché R, Roedelbronn M, Saha A, Slifer K, Solvignon P, Sulkosky V, Ulmer PE, Voutier E, Weinstein LB, Wojtsekhowski B, Zeier M. Probing the high momentum component of the deuteron at high Q2. Phys Rev Lett 2011; 107:262501. [PMID: 22243152 DOI: 10.1103/physrevlett.107.262501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2011] [Indexed: 05/31/2023]
Abstract
The (2)H(e,e'p)n cross section at a momentum transfer of 3.5 (GeV/c)(2) was measured over a kinematical range that made it possible to study this reaction for a set of fixed missing momenta as a function of the neutron recoil angle θ(nq) and to extract missing momentum distributions for fixed values of θ(nq) up to 0.55 GeV/c. In the region of 35°≤θ(nq)≤45° recent calculations, which predict that final-state interactions are small, agree reasonably well with the experimental data. Therefore, these experimental reduced cross sections provide direct access to the high momentum component of the deuteron momentum distribution in exclusive deuteron electrodisintegration.
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Affiliation(s)
- W U Boeglin
- Florida International University, University Park, Florida 33199, USA
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49
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Meziane M, Brash EJ, Gilman R, Jones MK, Luo W, Pentchev L, Perdrisat CF, Puckett AJR, Punjabi V, Wesselmann FR, Ahmidouch A, Albayrak I, Aniol KA, Arrington J, Asaturyan A, Ates O, Baghdasaryan H, Benmokhtar F, Bertozzi W, Bimbot L, Bosted P, Boeglin W, Butuceanu C, Carter P, Chernenko S, Christy E, Commisso M, Cornejo JC, Covrig S, Danagoulian S, Daniel A, Davidenko A, Day D, Dhamija S, Dutta D, Ent R, Frullani S, Fenker H, Frlez E, Garibaldi F, Gaskell D, Gilad S, Goncharenko Y, Hafidi K, Hamilton D, Higinbotham DW, Hinton W, Horn T, Hu B, Huang J, Huber GM, Jensen E, Kang H, Keppel C, Khandaker M, King P, Kirillov D, Kohl M, Kravtsov V, Kumbartzki G, Li Y, Mamyan V, Margaziotis DJ, Markowitz P, Marsh A, Matulenko Y, Maxwell J, Mbianda G, Meekins D, Melnik Y, Miller J, Mkrtchyan A, Mkrtchyan H, Moffit B, Moreno O, Mulholland J, Narayan A, Nedev S, Piasetzky E, Pierce W, Piskunov NM, Prok Y, Ransome RD, Razin DS, Reimer PE, Reinhold J, Rondon O, Shabestari M, Shahinyan A, Shestermanov K, Širca S, Sitnik I, Smykov L, Smith G, Solovyev L, Solvignon P, Subedi R, Suleiman R, Tomasi-Gustafsson E, Vasiliev A, Vanderhaeghen M, Veilleux M, Wojtsekhowski BB, Wood S, Ye Z, Zanevsky Y, Zhang X, Zhang Y, Zheng X, Zhu L. Search for effects beyond the born approximation in polarization transfer observables in e(over→)p elastic scattering. Phys Rev Lett 2011; 106:132501. [PMID: 21520982 DOI: 10.1103/physrevlett.106.132501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2010] [Indexed: 05/30/2023]
Abstract
Intensive theoretical and experimental efforts over the past decade have aimed at explaining the discrepancy between data for the proton electric to magnetic form factor ratio, G(E)/G(M), obtained separately from cross section and polarization transfer measurements. One possible explanation for this difference is a two-photon-exchange contribution. In an effort to search for effects beyond the one-photon-exchange or Born approximation, we report measurements of polarization transfer observables in the elastic H(e[over →],e(')p[over →]) reaction for three different beam energies at a Q(2)=2.5 GeV(2), spanning a wide range of the kinematic parameter ε. The ratio R, which equals μ(p)G(E)/G(M) in the Born approximation, is found to be independent of ε at the 1.5% level. The ε dependence of the longitudinal polarization transfer component P(ℓ) shows an enhancement of (2.3±0.6)% relative to the Born approximation at large ε.
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Affiliation(s)
- M Meziane
- The College of William and Mary, Williamsburg, Virginia 23187, USA.
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50
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Puckett AJR, Brash EJ, Jones MK, Luo W, Meziane M, Pentchev L, Perdrisat CF, Punjabi V, Wesselmann FR, Ahmidouch A, Albayrak I, Aniol KA, Arrington J, Asaturyan A, Baghdasaryan H, Benmokhtar F, Bertozzi W, Bimbot L, Bosted P, Boeglin W, Butuceanu C, Carter P, Chernenko S, Christy E, Commisso M, Cornejo JC, Covrig S, Danagoulian S, Daniel A, Davidenko A, Day D, Dhamija S, Dutta D, Ent R, Frullani S, Fenker H, Frlez E, Garibaldi F, Gaskell D, Gilad S, Gilman R, Goncharenko Y, Hafidi K, Hamilton D, Higinbotham DW, Hinton W, Horn T, Hu B, Huang J, Huber GM, Jensen E, Keppel C, Khandaker M, King P, Kirillov D, Kohl M, Kravtsov V, Kumbartzki G, Li Y, Mamyan V, Margaziotis DJ, Marsh A, Matulenko Y, Maxwell J, Mbianda G, Meekins D, Melnik Y, Miller J, Mkrtchyan A, Mkrtchyan H, Moffit B, Moreno O, Mulholland J, Narayan A, Nedev S, Piasetzky E, Pierce W, Piskunov NM, Prok Y, Ransome RD, Razin DS, Reimer P, Reinhold J, Rondon O, Shabestari M, Shahinyan A, Shestermanov K, Sirca S, Sitnik I, Smykov L, Smith G, Solovyev L, Solvignon P, Subedi R, Tomasi-Gustafsson E, Vasiliev A, Veilleux M, Wojtsekhowski BB, Wood S, Ye Z, Zanevsky Y, Zhang X, Zhang Y, Zheng X, Zhu L. Recoil polarization measurements of the proton electromagnetic form factor ratio to Q2 = 8.5 GeV2. Phys Rev Lett 2010; 104:242301. [PMID: 20873943 DOI: 10.1103/physrevlett.104.242301] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2010] [Indexed: 05/29/2023]
Abstract
Among the most fundamental observables of nucleon structure, electromagnetic form factors are a crucial benchmark for modern calculations describing the strong interaction dynamics of the nucleon's quark constituents; indeed, recent proton data have attracted intense theoretical interest. In this Letter, we report new measurements of the proton electromagnetic form factor ratio using the recoil polarization method, at momentum transfers Q2=5.2, 6.7, and 8.5 GeV2. By extending the range of Q2 for which G(E)(p) is accurately determined by more than 50%, these measurements will provide significant constraints on models of nucleon structure in the nonperturbative regime.
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Affiliation(s)
- A J R Puckett
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
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