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Lumley S, Yu D, Wilkie R, Jordan KP, Peat G. Chronic pain-mental health comorbidity and excess prevalence of health risk behaviours: a cross-sectional study. Prim Health Care Res Dev 2024; 25:e15. [PMID: 38587013 PMCID: PMC11022513 DOI: 10.1017/s1463423624000070] [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: 03/11/2022] [Revised: 09/21/2022] [Accepted: 11/24/2022] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND Chronic musculoskeletal pain and anxiety/depression are significant public health problems. We hypothesised that adults with both conditions constitute a group at especially high risk of future cardiovascular health outcomes. AIM To determine whether having comorbid chronic musculoskeletal pain and anxiety/depression is associated with the excess prevalence of selected known cardiovascular health risk behaviours. METHOD A cross-sectional survey of adults aged 35+ years randomly sampled from 26 GP practice registers in West Midlands, England. Respondents were classified into four groups based on self-reported presence/absence of chronic musculoskeletal pain (pain present on most days for six months) and anxiety or depression (Hospital Anxiety and Depression Score 11+). Standardised binomial models were used to estimate standardised prevalence ratios and prevalence differences between the four groups in self-reported obesity, tobacco smoking, physical inactivity, and unhealthy alcohol consumption after controlling for age, sex, ethnicity, deprivation, employment status and educational attainment. The excess prevalence of each risk factor in the group with chronic musculoskeletal pain-anxiety/depression comorbidity was estimated. FINDINGS Totally, 14 519 respondents were included, of whom 1329 (9%) reported comorbid chronic musculoskeletal pain-anxiety/depression, 3612 (25%) chronic musculoskeletal pain only, 964 (7%) anxiety or depression only, and 8614 (59%) neither. Those with comorbid chronic musculoskeletal pain-anxiety/depression had the highest crude prevalence of obesity (41%), smoking (16%) and physical inactivity (83%) but the lowest for unhealthy alcohol consumption (18%). After controlling for covariates, the standardised prevalence ratios and differences for the comorbid group compared with those with neither chronic musculoskeletal pain nor anxiety/depression were as follows: current smoking [1.86 (95% CI 1.58, 2.18); 6.8%], obesity [1.93 (1.76, 2.10); 18.9%], physical inactivity [1.21 (1.17, 1.24); 14.3%] and unhealthy alcohol consumption [0.81 (0.71, 0.92); -5.0%]. The standardised prevalences of smoking and obesity in the comorbid group exceeded those expected from simple additive interaction.
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Affiliation(s)
- Sophie Lumley
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
| | - Dahai Yu
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
| | - Ross Wilkie
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
| | - Kelvin P. Jordan
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
| | - George Peat
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
- Centre for Applied Health & Social Care Research (CARe), Sheffield Hallam University, Sheffield, South Yorkshire, UK
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Walters B, Midwinter I, Chew-Graham CA, Jordan KP, Sharma G, Chappell LC, Crosbie EJ, Parwani P, Mamas MA, Wu P. Pregnancy-Associated Cancer: A Systematic Review and Meta-Analysis. Mayo Clin Proc Innov Qual Outcomes 2024; 8:188-199. [PMID: 38524280 PMCID: PMC10957385 DOI: 10.1016/j.mayocpiqo.2024.02.002] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2024] Open
Abstract
This study aimed to systematically evaluate and quantify the risk of adverse maternal and neonatal outcomes in patients with pregnancy-associated cancer (PAC). This study was conducted from February 13, 2021, through July 24, 2023. A systematic search of MEDLINE, Embase, Web of Science Core Collection, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials was conducted to identify studies reporting outcomes for patients with PAC. The study was registered on PROSPERO. Two reviewers independently conducted screening, data extraction, and quality assessment. The associations were quantified using random-effects meta-analysis. The initial search produced 29,401 titles and abstracts, after which 147 unique full-text articles were screened, of which 22 articles with 59,190 pregnancies with PAC from 70,097,167 births were included in the meta-analysis. Women with PAC were at significantly increased risk of cesarean deliveries (risk ratio [RR], 1.58; 95% CI, 1.31-1.89), preterm birth (RR, 3.07; 95% CI, 2.37-3.98), venous thromboembolism (RR, 6.76; 95% CI, 5.08-8.99), and maternal death (RR, 41.58; 95% CI, 20.38-84.83). The only outcome with reduced risk was instrumental mode of delivery (RR, 0.67; 95% CI, 0.52-0.87). Pregnancy-associated cancer increases risk of adverse outcomes, including a 7-fold risk of venous thromboembolism and a 42-fold risk of maternal death. Further research is required to better understand the mechanisms leading to these adverse outcomes, especially for women who are not diagnosed until the postpartum period. Affected women should have counseling regarding their increased risk of adverse outcomes.
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Affiliation(s)
- Ben Walters
- Academic Department of Obstetrics and Gynaecology, Royal Stoke Hospital, Stoke-on-Trent, United Kingdom
| | - India Midwinter
- Academic Department of Obstetrics and Gynaecology, Royal Stoke Hospital, Stoke-on-Trent, United Kingdom
| | - Carolyn A. Chew-Graham
- School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Staffordshire, United Kingdom
| | - Kelvin P. Jordan
- School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Staffordshire, United Kingdom
| | - Garima Sharma
- Division of Cardiology, Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Diseases, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Lucy C. Chappell
- School of Life Course Sciences, King’s College London, London, United Kingdom
| | - Emma J. Crosbie
- Department of Obstetrics and Gynaecology, St Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Purvi Parwani
- Division of Cardiology, Department of Medicine, Loma Linda University Health, Loma Linda, CA
| | - Mamas A. Mamas
- School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Staffordshire, United Kingdom
- Keele Cardiovascular Research Group, Centre for Prognosis Research, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Staffordshire, United Kingdom
| | - Pensée Wu
- Academic Department of Obstetrics and Gynaecology, Royal Stoke Hospital, Stoke-on-Trent, United Kingdom
- Keele Cardiovascular Research Group, Centre for Prognosis Research, School of Medicine, Faculty of Medicine and Health Sciences, Keele University, Staffordshire, United Kingdom
- Academic Department of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, United Kingdom
- Department of Obstetrics and Gynecology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Rong R, Xu Q, Jordan KP, Chen Y. Perceived Epidemic Impacts and Mental Symptom Trajectories in Adolescents Back to School After COVID-19 Restriction: A Longitudinal Latent Class Analysis. J Adolesc Health 2024; 74:487-495. [PMID: 37966411 DOI: 10.1016/j.jadohealth.2023.09.011] [Citation(s) in RCA: 1] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 09/04/2023] [Accepted: 09/08/2023] [Indexed: 11/16/2023]
Abstract
PURPOSE This study aimed to assess the impacts of COVID-19 epidemic on various life aspects and identify the trajectories of common mental symptoms among adolescents back to school after COVID-19 restriction. Furthermore, potential predictors associated with those trajectories were investigated. METHODS This longitudinal study, with five data collection points and a total follow-up of 68.4 days, was conducted among 1,393 junior high school students (mean age: 13.8 years; male, 53.3%) shortly after school reopened during the first COVID-19 outbreak in China. Questions on sociodemographics and perceived COVID-19 epidemic impacts were completed at the baseline while the Patient Health Questionnaire, Generalized Anxiety Disorder Scale, and Insomnia Severity Index were measured throughout the study for depression, anxiety, and insomnia symptoms, respectively. Trajectories of mental symptoms were classified by longitudinal latent class analysis, and the associated predictive factors were identified with multinomial regression modelling. RESULTS Our study revealed high but steadily declining prevalence of depression, anxiety, and insomnia symptoms (p trend < .001). Five distinctive trajectories were identified for both depression and anxiety ("resistance," "low symptom," "recovery," "chronic dysfunction," and "delayed dysfunction") and three for insomnia ("resistance," "low symptom," and "chronic dysfunction"). Besides the significant association between the mental symptom trajectories and students' perceived COVID-19 impacts on study practice, family income, and family relationship, female gender, lower school grade, and higher body mass index were found to be predictive of high severity trajectories. DISCUSSION Our findings may help locate the most psychologically vulnerable adolescents during the epidemic and foster better implementation of targeted intervention.
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Affiliation(s)
- Rong Rong
- Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China; Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
| | - Qiaochu Xu
- Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | | | - Ying Chen
- Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China; School of Medicine, Keele University, Keele, United Kingdom.
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Stevenson K, Hadley-Barrows T, Evans N, Campbell L, Southam J, Chudyk A, Ellington D, Jeeves B, Jenson C, Kleberg S, Birkinshaw H, Mair F, Dziedzic K, Peat G, Jordan KP, Yu D, Bailey J, Braybooke A, Mallen CD, Hill JC. The SelfSTarT intervention for low back pain patients presenting to first contact physiotherapists: A mixed methods service evaluation. Musculoskeletal Care 2024; 22:e1876. [PMID: 38511963 DOI: 10.1002/msc.1876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/28/2024] [Accepted: 03/01/2024] [Indexed: 03/22/2024]
Abstract
INTRODUCTION Globally, back pain is the leading cause of years of disability. In the United Kingdom, over 20 million people live with musculoskeletal (MSK) pain, with low back pain being one of the most common causes. National strategies promote self-management and the use of digital technologies to empower populations. AIMS To evaluate the uptake and impact of providing the SelfSTart approach (STarT Back and SelfBACK App) when delivered by a First Contact Physiotherapist (FCP) to people presenting with low back pain in primary care. METHODS Patients presenting with a new episode of low back pain underwent routine assessment and completion of a STarT Back questionnaire. Patients with low/medium scores were offered the SelfBACK App. A control population was provided by the MIDAS-GP study. Patient Experience, outcome measures, healthcare utilisation and retention were captured through the app and clinical systems (EMIS). Interviews with five FCPs explored the experiences of using the SelfSTart approach. RESULTS SelfSTarT was taken up by almost half (48%) of those to whom it was offered. Compared to MIDAS-GP, users were more likely to be younger, male, in work, and with higher health literacy. SelfSTarT users reported significant improved experiences relating to receiving an agreed care plan and receiving sufficient information. There were no significant differences in treatments offered. FCPs were positive about the app and felt it had value but wanted feedback on patient progress. They recognised that a digital solution would not be suitable for all. CONCLUSION This approach offers an opportunity to empower and support self-management, using robustly evaluated digital technology.
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Affiliation(s)
- K Stevenson
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
- Midlands Partnership University Foundation NHS Trust, Haywood Hospital, Keele, Staffordshire, UK
| | - T Hadley-Barrows
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
- Royal Wolverhampton NHS Trust, Wolverhampton, UK
| | - N Evans
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - L Campbell
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - J Southam
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - A Chudyk
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - D Ellington
- Midlands Partnership University Foundation NHS Trust, Haywood Hospital, Keele, Staffordshire, UK
| | - B Jeeves
- Midlands Partnership University Foundation NHS Trust, Haywood Hospital, Keele, Staffordshire, UK
| | - C Jenson
- SelfBack Company, Odense, Denmark
| | | | - H Birkinshaw
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - F Mair
- Glasgow University, Glasgow, UK
| | - K Dziedzic
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - G Peat
- Centre for Applied Health & Social Care Research (CARe), Sheffield Hallam University, Sheffield, UK
| | - K P Jordan
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - D Yu
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - J Bailey
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - A Braybooke
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - C D Mallen
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
| | - Jonathan C Hill
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Keele, Staffordshire, UK
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Nimmons D, Aker N, Burnand A, Jordan KP, Cooper C, Davies N, Manthorpe J, Chew-Graham CA, Kingstone T, Petersen I, Walters K. Clinical effectiveness of pharmacological and non-pharmacological treatments for the management of anxiety in community dwelling people living with dementia: A systematic review and meta-analysis. Neurosci Biobehav Rev 2024; 157:105507. [PMID: 38097097 DOI: 10.1016/j.neubiorev.2023.105507] [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: 08/25/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023]
Abstract
People living with dementia commonly experience anxiety, which is often challenging to manage. We investigated the effectiveness of treatments for the management of anxiety in this population. We conducted a systematic review and meta-analysis of randomised controlled trials, and searched EMBASE, CINAHL, MEDLINE and PsycInfo. We estimated standardised mean differences at follow-up between treatments relative to control groups and pooled these across studies using random-effects models where feasible. Thirty-one studies were identified. Meta-analysis demonstrated non-pharmacological interventions were effective in reducing anxiety in people living with dementia, compared to care as usual or active controls. Specifically, music therapy (SMD-1.92(CI:-2.58,-1.25)), muscular approaches (SMD-0.65(CI:-1.02,-0.28)) and stimulating cognitive and physical activities (SMD-0.31(CI:-0.53,-0.09)). Pharmacological interventions with evidence of potential effectiveness included Ginkgo biloba, probiotics, olanzapine, loxapine and citalopram compared to placebo, olanzapine compared to bromazepam and buspirone and risperidone compared to haloperidol. Meta-analyses were not performed for pharmacological interventions due to studies' heterogeneity. This has practice implications when promoting the use of more non-pharmacological interventions to help reduce anxiety among people living with dementia.
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Affiliation(s)
- Danielle Nimmons
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London, UK.
| | - Narin Aker
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London, UK
| | - Alice Burnand
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London, UK
| | | | - Claudia Cooper
- Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Nathan Davies
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London, UK
| | - Jill Manthorpe
- Social Care Workforce Research Unit, King's College London, London, UK
| | | | - Tom Kingstone
- School of Medicine, Keele University, Staffordshire, UK
| | - Irene Petersen
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London, UK
| | - Kate Walters
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London, UK
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Welsh VK, Mason KJ, Bailey J, Bajpai R, Jordan KP, Mallen CD, Burton C. Trends in consultations and prescribing for rheumatic and musculoskeletal diseases: an electronic primary care records study. Br J Gen Pract 2023; 73:e858-e866. [PMID: 37722859 PMCID: PMC10523337 DOI: 10.3399/bjgp.2022.0648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 05/15/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND Rheumatic and musculoskeletal diseases (RMDs) are common and generally managed in primary care through supported self-care, physiotherapy, analgesia, and specialist referral where indicated. The COVID-19 pandemic led to abrupt changes in primary care delivery, including moves to remote consulting, pauses on group-based self-care, and restricted referrals. AIM To describe how patterns of UK primary healthcare consultations and analgesic prescribing relating to RMDs changed during the COVID-19 pandemic. DESIGN AND SETTING Observational study using routinely collected national primary care electronic health record data from the Clinical Practice Research Datalink between 1 April 2017 and 1 October 2021. METHOD RMD and analgesic SNOMED-CT codes were derived through consensus and published work. Prevalent and incident RMD-related consultations were determined, and RMD consultations matched to prevalent and incident analgesia prescriptions. Joinpoint regression was used to describe trends over time. RESULTS Prevalent and incident RMD consultations steadily increased until March 2020 when a substantial drop occurred as pandemic- related restrictions were introduced; levels had not recovered to pre-pandemic highs by October 2021. While incident and prevalent analgesic prescribing also reduced around March 2020, the proportion of patients with an RMD consultation prescribed any analgesic increased from 27.72% in February 2020 to 38.15% in April 2020, with increases across all analgesic groups. A higher proportion of strong opioid prescriptions was seen in the most deprived areas. CONCLUSION Pandemic-associated restrictions led to fewer primary care consultations and relative increases in analgesic prescribing, including strong opioids, for RMDs in the UK. Policymakers must consider the impact of these changes in future healthcare resource planning.
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Affiliation(s)
- Victoria K Welsh
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele
| | - Kayleigh J Mason
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele
| | - James Bailey
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele
| | - Ram Bajpai
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele
| | - Kelvin P Jordan
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele
| | - Christian D Mallen
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele
| | - Claire Burton
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele
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Png ME, Mason KJ, Marshall M, Jordan KP, Bailey J, Frisher M, Heron N, Huntley AL, Mallen CD, Mamas MA, Tatton S, White S, Edwards JJ, Achana F. Estimating the direct healthcare utilization and cost of musculoskeletal pain among people with comorbidity: a retrospective electronic health record study. Curr Med Res Opin 2023:1-8. [PMID: 37853741 DOI: 10.1080/03007995.2023.2271862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 10/13/2023] [Indexed: 10/20/2023]
Abstract
OBJECTIVE To investigate the impact of pre-existing painful musculoskeletal conditions on healthcare utilization and costs among patients with five common conditions: acute coronary syndrome (ACS), stroke, cancer, dementia and pneumonia. METHODS Using primary and secondary care services data from electronic health records, a negative binomial regression model was used to compare resource use while a two-part model was used to compare costs across the five conditions, between those with and without a pre-existing musculoskeletal pain. RESULTS The study included 760,792 patients (144,870 with ACS, 121,208 with stroke, 231,702 with cancer, 134,638 with dementia, and 128,374 with pneumonia) in the complete case analysis. Pre-existing musculoskeletal pain had an incident rate ratio of above one for most healthcare resources over the follow-up period and an adjusted additional mean cumulative total healthcare costs per patient of £674.59 (95%CI 570.30 to 778.87) for ACS; £613.34 (95%CI 496.87 to 729.82) for stroke; £459.26 (95%CI 376.60 to 541.91) for cancer; and £766.23 (95%CI 655.06 to 877.39) for dementia over five years after diagnosis; and £200.85 (95%CI 104.16 to 297.55) for pneumonia over one year after diagnosis compared to those without musculoskeletal pain. CONCLUSION This study highlights that individuals with painful musculoskeletal conditions have higher healthcare utiliszation and costs than those without painful musculoskeletal conditions. Given the high occurrence of musculoskeletal pain in patients with other conditions, effective management strategies are needed to reduce the burden on healthcare resources.
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Affiliation(s)
- May Ee Png
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Kayleigh J Mason
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - Michelle Marshall
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - Kelvin P Jordan
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - James Bailey
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - Martin Frisher
- School of Pharmacy and Bioengineering, Keele University, Keele, UK
| | - Neil Heron
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Alyson L Huntley
- Centre for Academic Primary Care, Bristol Medical School, Bristol University, Bristol, UK
| | - Christian D Mallen
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele, UK
| | - Stephen Tatton
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - Simon White
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - John J Edwards
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - Felix Achana
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
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Scott IC, Whittle R, Bailey J, Twohig H, Hider SL, Mallen CD, Muller S, Jordan KP. Analgesic prescribing in patients with inflammatory arthritis in England: observational studies in the Clinical Practice Research Datalink. Rheumatology (Oxford) 2023:kead463. [PMID: 37822018 DOI: 10.1093/rheumatology/kead463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 08/18/2023] [Indexed: 10/13/2023] Open
Abstract
OBJECTIVES Despite little evidence that analgesics are effective in inflammatory arthritis (IA), studies report substantial opioid prescribing. The extent this applies to other analgesics is uncertain. We undertook a comprehensive evaluation of analgesic prescribing in patients with IA in the Clinical Practice Research Datalink Aurum to evaluate this. METHODS From 2004 to 2020, cross-sectional analyses evaluated analgesic prescription annual prevalence in RA, PsA and axial spondyloarthritis (axSpA), stratified by age, sex, ethnicity, deprivation and geography. Joinpoint regression evaluated temporal prescribing trends. Cohort studies determined prognostic factors at diagnosis for chronic analgesic prescriptions using Cox proportional hazards models. RESULTS Analgesic prescribing declined over time but remained common: 2004 and 2020 IA prescription prevalence was 84.2/100 person-years (PY) (95% CI 83.9, 84.5) and 64.5/100 PY (64.2, 64.8), respectively. In 2004, NSAIDs were most prescribed (56.1/100 PY; 55.8, 56.5), falling over time. Opioids were most prescribed in 2020 (39.0/100 PY; 38.7, 39.2). Gabapentinoid prescribing increased: 2004 prevalence 1.1/100 PY (1.0, 1.2); 2020 prevalence 9.9/100 PY (9.7, 10.0). Most opioid prescriptions were chronic (2020 prevalence 23.4/100 PY [23.2, 23.6]). Non-NSAID analgesic prescribing was commoner in RA, older people, females and deprived areas/northern England. Conversely, NSAID prescribing was commoner in axSpA/males, varying little by deprivation/geography. Peri-diagnosis was high-risk for starting chronic opioid/NSAID prescriptions. Prognostic factors for chronic opioid/gabapentinoid and NSAID prescriptions differed, with NSAIDs having no consistently significant association with deprivation (unlike opioids/gabapentinoids). CONCLUSION IA analgesic prescribing of all classes is widespread. This is neither evidence-based nor in line with guidelines. Peri-diagnosis is an opportune moment to reduce chronic analgesic prescribing.
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Affiliation(s)
- Ian C Scott
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
- Haywood Academic Rheumatology Centre, Haywood Hospital, Midlands Partnership NHS Foundation Trust, High Lane, Burslem, Staffordshire, UK
| | - Rebecca Whittle
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - James Bailey
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Helen Twohig
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Samantha L Hider
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
- Haywood Academic Rheumatology Centre, Haywood Hospital, Midlands Partnership NHS Foundation Trust, High Lane, Burslem, Staffordshire, UK
| | - Christian D Mallen
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
- Haywood Academic Rheumatology Centre, Haywood Hospital, Midlands Partnership NHS Foundation Trust, High Lane, Burslem, Staffordshire, UK
| | - Sara Muller
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Kelvin P Jordan
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
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Mason KJ, Jordan KP, Heron N, Edwards JJ, Bailey J, Achana FA, Chen Y, Frisher M, Huntley AL, Mallen CD, Mamas MA, Png ME, Tatton S, White S, Marshall M. Musculoskeletal pain and its impact on prognosis following acute coronary syndrome or stroke: A linked electronic health record cohort study. Musculoskeletal Care 2023; 21:749-762. [PMID: 36853885 DOI: 10.1002/msc.1748] [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: 01/24/2023] [Revised: 02/09/2023] [Accepted: 02/13/2023] [Indexed: 03/01/2023]
Abstract
OBJECTIVE Musculoskeletal painful conditions are a risk factor for cardiovascular disease (CVD), but less is known about whether musculoskeletal pain also worsens prognosis from CVD. The objective was to determine whether patients with musculoskeletal pain have poorer prognosis following acute coronary syndrome (ACS) or stroke. METHODS The study utilised UK electronic primary care records (CPRD Aurum) with linkage to hospital and mortality records. Patients aged ≥45 years admitted to hospital with incident ACS/stroke were categorised by healthcare use for musculoskeletal pain (inflammatory conditions, osteoarthritis [OA], and regional pain) based on primary care consultations in the prior 24 months. Outcomes included mortality, length of stay, readmission and management of index condition (ACS/stroke). RESULTS There were 171,670 patients with incident ACS and 138,512 with stroke; 30% consulted for musculoskeletal pain prior to ACS/stroke and these patients had more comorbidity than those without musculoskeletal pain. Rates of mortality and readmission, and length of stay were higher in those with musculoskeletal pain, particularly OA and inflammatory conditions, in ACS. Readmission was also higher for patients with musculoskeletal pain in stroke. However, increased risks associated with musculoskeletal pain did not remain after adjustment for age and polypharmacy. Inflammatory conditions were associated with increased likelihood of prescriptions for dual anti-platelets (ACS only) and anti-coagulants. CONCLUSIONS Patients with musculoskeletal pain have higher rates of poor outcome from ACS which relates to being older but also increased polypharmacy. The high rates of comorbidity including polypharmacy highlight the complexity of patients with musculoskeletal pain who have new onset ACS/stroke.
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Affiliation(s)
- Kayleigh J Mason
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Kelvin P Jordan
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Neil Heron
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - John J Edwards
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - James Bailey
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Felix A Achana
- Nuffield Department of Primary Care Health Sciences, Oxford University, Oxford, UK
| | - Ying Chen
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
- Academy of Pharmacy, Xi'an Jiaotong - Liverpool University, Suzhou, China
| | - Martin Frisher
- School of Pharmacy and Bioengineering, Keele University, Keele, UK
| | - Alyson L Huntley
- Centre for Academic Primary Care, Bristol Medical School, Bristol University, Bristol, UK
| | - Christian D Mallen
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele, UK
| | - May Ee Png
- Nuffield Department of Primary Care Health Sciences, Oxford University, Oxford, UK
| | - Stephen Tatton
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Simon White
- School of Pharmacy and Bioengineering, Keele University, Keele, UK
| | - Michelle Marshall
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
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Jordan KP, Rathod-Mistry T, van der Windt DA, Bailey J, Chen Y, Clarson L, Denaxas S, Hayward RA, Hemingway H, Kyriacou T, Mamas MA. Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study. Eur J Prev Cardiol 2023; 30:1151-1161. [PMID: 36895179 PMCID: PMC10442054 DOI: 10.1093/eurjpc/zwad055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 12/06/2022] [Accepted: 02/21/2023] [Indexed: 03/11/2023]
Abstract
AIMS Most adults presenting in primary care with chest pain symptoms will not receive a diagnosis ('unattributed' chest pain) but are at increased risk of cardiovascular events. To assess within patients with unattributed chest pain, risk factors for cardiovascular events and whether those at greatest risk of cardiovascular disease can be ascertained by an existing general population risk prediction model or by development of a new model. METHODS AND RESULTS The study used UK primary care electronic health records from the Clinical Practice Research Datalink linked to admitted hospitalizations. Study population was patients aged 18 plus with recorded unattributed chest pain 2002-2018. Cardiovascular risk prediction models were developed with external validation and comparison of performance to QRISK3, a general population risk prediction model. There were 374 917 patients with unattributed chest pain in the development data set. The strongest risk factors for cardiovascular disease included diabetes, atrial fibrillation, and hypertension. Risk was increased in males, patients of Asian ethnicity, those in more deprived areas, obese patients, and smokers. The final developed model had good predictive performance (external validation c-statistic 0.81, calibration slope 1.02). A model using a subset of key risk factors for cardiovascular disease gave nearly identical performance. QRISK3 underestimated cardiovascular risk. CONCLUSION Patients presenting with unattributed chest pain are at increased risk of cardiovascular events. It is feasible to accurately estimate individual risk using routinely recorded information in the primary care record, focusing on a small number of risk factors. Patients at highest risk could be targeted for preventative measures.
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Affiliation(s)
- Kelvin P Jordan
- School of Medicine, David Weatherall Building, University Road, Keele University, Staffordshire ST5 5BG, UK
| | - Trishna Rathod-Mistry
- School of Medicine, David Weatherall Building, University Road, Keele University, Staffordshire ST5 5BG, UK
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Windmill Road, Oxford OX3 7LD, UK
| | - Danielle A van der Windt
- School of Medicine, David Weatherall Building, University Road, Keele University, Staffordshire ST5 5BG, UK
| | - James Bailey
- School of Medicine, David Weatherall Building, University Road, Keele University, Staffordshire ST5 5BG, UK
| | - Ying Chen
- School of Medicine, David Weatherall Building, University Road, Keele University, Staffordshire ST5 5BG, UK
- Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou 215123, Jiangsu, China
| | - Lorna Clarson
- School of Medicine, David Weatherall Building, University Road, Keele University, Staffordshire ST5 5BG, UK
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, 222 Euston Road, London NW1 2DA, UK
- Health Data Research UK, University College London, 222 Euston Road, London NW1 2DA, UK
| | - Richard A Hayward
- School of Medicine, David Weatherall Building, University Road, Keele University, Staffordshire ST5 5BG, UK
| | - Harry Hemingway
- Institute of Health Informatics, University College London, 222 Euston Road, London NW1 2DA, UK
- The National Institute for Health Research University College London Hospitals Biomedical Research Centre, Maple House 1st floor, 149 Tottenham Court Road, London W1T 7DN, UK
| | - Theocharis Kyriacou
- School of Computing and Mathematics, Keele University, Staffordshire ST5 5AA, UK
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, School of Medicine, David Weatherall Building, University Road, Keele University, Staffordshire ST5 5BG, UK
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11
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Burton C, Bajpai R, Mason KJ, Bailey J, Jordan KP, Mallen CD, Welsh VK. The impact of the COVID-19 pandemic on referrals to musculoskeletal services from primary care and subsequent incidence of inflammatory rheumatic musculoskeletal disease: an observational study. Rheumatol Adv Pract 2023; 7:rkad044. [PMID: 37251663 PMCID: PMC10219787 DOI: 10.1093/rap/rkad044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 04/14/2023] [Indexed: 05/31/2023] Open
Abstract
Objective The aim was to describe the impact of the COVID-19 pandemic upon referral patterns and incident diagnosis of inflammatory rheumatic and musculoskeletal diseases (iRMDs). Methods UK primary care data were used to describe referral patterns for patients with musculoskeletal conditions. Trends in referrals to musculoskeletal services and incident diagnoses of iRMDs (specifically, RA and JIA) were described using Joinpoint Regression and comparisons made between key pandemic time periods. Results The incidence of RA and JIA reduced by -13.3 and -17.4% per month, respectively, between January 2020 and April 2020, then increased by 1.9 and 3.7% per month, respectively, between April 2020 and October 2021. The incidence of all diagnosed iRMDs was stable until October 2021. Referrals decreased between February 2020 and May 2020 by -16.8% per month from 4.8 to 2.4% in patients presenting with a musculoskeletal condition. After May 2020, referrals increased significantly (16.8% per month) to 4.5% in July 2020. The time from first musculoskeletal consultation to RA diagnosis and from referral to RA diagnosis increased in the early pandemic period [rate ratio (RR) 1.11, 95% CI 1.07, 1.15 and RR 1.23, 95% CI 1.17, 1.30, respectively] and remained consistently higher in the late pandemic period (RR 1.13, 95% CI 1.11, 1.16 and RR 1.27, 95% CI 1.23, 1.32, respectively), compared with the pre-COVID-19 pandemic period. Conclusion Patients with underlying RA and JIA that developed during the pandemic might be yet to present or might be in the referral and/or diagnostic process. Clinicians should remain alert to this possibility, and commissioners should be aware of these findings, enabling the appropriate planning and commissioning of services.
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Affiliation(s)
- Claire Burton
- Correspondence to: Claire Burton, Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele ST5 5BG, UK. E-mail:
| | - Ram Bajpai
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - Kayleigh J Mason
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - James Bailey
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - Kelvin P Jordan
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - Christian D Mallen
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
| | - Victoria K Welsh
- Centre for Musculoskeletal Health Research, School of Medicine, Keele University, Keele, UK
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12
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Yu D, Jordan KP, Wilkie R, Bailey J, Fitzpatrick J, Ali N, Niblett P, Peat G. Persistent inequalities in consultation incidence and prevalence of low back pain and osteoarthritis in England between 2004 and 2019. Rheumatol Adv Pract 2022; 7:rkac106. [PMID: 36601519 PMCID: PMC9800855 DOI: 10.1093/rap/rkac106] [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] [Received: 07/21/2022] [Accepted: 10/26/2022] [Indexed: 12/05/2022] Open
Abstract
Objective We wanted to determine whether socioeconomic inequalities in primary care consultation rates for two major, disabling musculoskeletal conditions in England narrowed or widened between 2004 and 2019. Methods We analysed data from Clinical Practice Research Datalink Aurum, a national general practice electronic health records database, linked to national deprivation ranking of each patient's registered residential postcode. For each year, we estimated the age- and sex-standardized consultation incidence and prevalence for low back pain and OA for the most deprived 10% of neighbourhoods through to the least deprived 10%. We then calculated the slope index of inequality and relative index of inequality overall and by sex, age group and geographical region. Results Inequalities in low back pain incidence and prevalence over socioeconomic status widened between 2004 and 2013 and stabilized between 2014 and 2019. Inequalities in OA incidence remained stable over socioeconomic status within the study period, whereas inequalities in OA prevalence widened markedly over socioeconomic status between 2004 and 2019. The widest gap in low back pain incidence and prevalence over socioeconomic status was observed in populations resident in northern English regions and London and in those of working age, peaking at 45-54 years. Conclusion We found persistent, and generally increasing, socioeconomic inequalities in the rate of adults presenting to primary care in England with low back pain and OA between 2004 and 2019.
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Affiliation(s)
- Dahai Yu
- Correspondence: Dahai Yu, Primary Care Centre Versus Arthritis, School of Medicine, David Weatherall Building, Keele University, Keele, Staffordshire ST5 5BG, UK. E-mail:
| | - Kelvin P Jordan
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Ross Wilkie
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - James Bailey
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Justine Fitzpatrick
- Department of Health and Social Care, Office for Health Improvement and Disparities, London, UK
| | - Nuzhat Ali
- Department of Health and Social Care, Office for Health Improvement and Disparities, London, UK
| | - Paul Niblett
- Department of Health and Social Care, Office for Health Improvement and Disparities, London, UK
| | - George Peat
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK,Department of Allied Health Professions, College of Health, Wellbeing & Life Sciences, Sheffield Hallam University, Sheffield, UK
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Scott IC, Whittle R, Bailey J, Twohig H, Hider SL, Mallen CD, Muller S, Jordan KP. Rheumatoid arthritis, psoriatic arthritis, and axial spondyloarthritis epidemiology in England from 2004 to 2020: An observational study using primary care electronic health record data. Lancet Reg Health Eur 2022; 23:100519. [PMID: 36246147 PMCID: PMC9557034 DOI: 10.1016/j.lanepe.2022.100519] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
BACKGROUND Contemporary data on rheumatoid arthritis (RA), psoriatic arthritis (PsA) and axial spondyloarthritits (SpA) epidemiology in England are lacking. This knowledge is crucial to planning healthcare services. We updated algorithms defining patients with diagnoses of RA, PsA, and axial SpA in primary care and applied them to describe their incidence and prevalence in the Clinical Practice Research Datalink Aurum, an electronic health record (EHR) database covering ∼20% of England. METHODS Algorithms for ascertaining patients with RA, axial SpA, and PsA diagnoses validated in primary care EHR databases using Read codes were updated (to account for the English NHS change to SNOMED CT diagnosis coding) and applied. Updated diagnosis and synthetic disease-modifying anti-rheumatic drug code lists were devised by rheumatologists and general practitioners. Annual incidence/point-prevalence of RA, PsA, and axial SpA diagnoses were calculated from 2004 to 2020 and stratified by age/sex. FINDINGS Point-prevalence of RA/PsA diagnoses increased annually, peaking in 2019 (RA 0·779% [95% confidence interval (CI) 0·773, 0·784]; PsA 0·287% [95% CI 0·284, 0·291]) then falling slightly. Point-prevalence of axial SpA diagnoses increased annually (except in 2018/2019), peaking in 2020 (0·113% [95% CI 0·111, 0·115]). RA diagnosis annual incidence was higher between 2013-2019 (after inclusion in the Quality and Outcomes Framework, range 49·1 [95% CI 47·7, 50·5] to 52·1 [95% CI 50·6, 53·6]/100,000 person-years) than 2004-2012 (range 34·5 [95% CI 33·2, 35·7] to 40·0 [95% CI 38·6, 41·4]/100,000 person-years). Increases in the annual incidence of PsA/axial SpA diagnosis occurred following new classification criteria publication. Annual incidence of RA, PsA and axial SpA diagnoses fell by 40·1%, 67·4%, and 38·1%, respectively between 2019 and 2020, likely reflecting the COVID-19 pandemic's impact on their diagnosis. INTERPRETATION Recorded RA, PsA, and axial SpA diagnoses are increasingly prevalent in England, underlining the importance of organising healthcare services to provide timely, treat-to-target care to optimise the health of >1% of adults in England. FUNDING National Institute for Health and Care Research (NIHR300826).
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Affiliation(s)
- Ian C. Scott
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
- Haywood Academic Rheumatology Centre, Haywood Hospital, Midlands Partnership NHS Foundation Trust, High Lane, Burslem, Staffordshire, UK
| | - Rebecca Whittle
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - James Bailey
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Helen Twohig
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Samantha L. Hider
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
- Haywood Academic Rheumatology Centre, Haywood Hospital, Midlands Partnership NHS Foundation Trust, High Lane, Burslem, Staffordshire, UK
| | - Christian D Mallen
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
- Haywood Academic Rheumatology Centre, Haywood Hospital, Midlands Partnership NHS Foundation Trust, High Lane, Burslem, Staffordshire, UK
| | - Sara Muller
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Kelvin P. Jordan
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
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Mason KJ, Jordan KP, Achana FA, Bailey J, Chen Y, Frisher M, Huntley AL, Mallen CD, Mamas MA, Png ME, Tatton S, White S, Edwards JJ. P181 Musculoskeletal pain and prognosis of acute coronary syndrome and cerebrovascular accident: a linked electronic health record cohort study. Rheumatology (Oxford) 2022. [DOI: 10.1093/rheumatology/keac133.180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background/Aims
There is some evidence of an increased risk of cardiovascular disease in patients with painful musculoskeletal conditions, but it is unclear if musculoskeletal pain also worsens its prognosis. The aim was to determine whether patients with musculoskeletal pain have poorer prognosis following acute coronary syndrome (ACS) or cerebrovascular accident (CVA).
Methods
Data were obtained from national primary care electronic health records (Clinical Practice Research Datalink; CPRD) with linkage to hospital admissions and mortality records. Patients aged 45 years and over with ACS or CVA recorded in primary care and as the primary reason for hospital admission within ±30 days were included. Patients were grouped by consultations in primary care for painful musculoskeletal conditions (by recency/severity and by condition) in the 24 months prior to ACS or CVA. Severe musculoskeletal pain was defined as prescription of strong analgesia or relevant secondary care referral in the 6 months before ACS or CVA. Short-term outcomes included length of hospital stay, mortality during admission or within 30 days of discharge, and readmission within 30 days of discharge. Management outcomes included procedures during admission and prescriptions for anti-hypertensives, anti-platelets and anti-coagulants in the 3 months following admission. Longer term outcomes included further ACS or CVA and mortality in those who survived >30 days after discharge.
Results
There were 171,670 patients with ACS (36% females; median age 70 years) and 138,512 patients with CVA (49% females; median age 76 years); 30% of patients in each cohort consulted for a painful musculoskeletal condition prior to admission for ACS or CVA. An increased prevalence of cardiovascular risk factors was observed for patients with severe musculoskeletal pain compared to those without pain for comorbidities such as obesity (ACS 26% vs 16%, CVA 25% vs 15%), diabetes (ACS 24% vs 17%, CVA 23% vs 17%) and lifestyle characteristics such as current/ex-smoker (ACS 58% vs 52%, CVA 52% vs 46%), respectively. Patients with severe musculoskeletal pain had similar lengths of stay, rates of readmission and further ACS/CVA after adjustment for sociodemographic characteristics and comorbidities than those without musculoskeletal pain. They were more likely to receive a procedure during admission for ACS (adjusted risk ratio [aRR] 1.15, 95% confidence interval [CI] 1.03-1.28). Prescriptions for ACS (severe pain aRR 1.01, 95% CI 1.00-1.02; inflammatory condition aRR 1.01, 95% CI 1.00-1.02) and CVA (inflammatory condition aRR 1.04, 95% CI 1.01-1.06) were higher in the 3 months post-admission for those with musculoskeletal pain.
Conclusion
Musculoskeletal pain did not independently worsen the prognosis following hospitalisation for incident ACS or CVA. The findings are reassuring, but also highlight the need for closer surveillance due to the complexities of patients with severe musculoskeletal presenting with incident ACS or CVA.
Disclosure
K.J. Mason: None. K.P. Jordan: None. F.A. Achana: None. J. Bailey: None. Y. Chen: None. M. Frisher: None. A.L. Huntley: None. C.D. Mallen: None. M.A. Mamas: None. M. Png: None. S. Tatton: None. S. White: None. J.J. Edwards: None.
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Affiliation(s)
- Kayleigh J Mason
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UNITED KINGDOM
| | - Kelvin P Jordan
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UNITED KINGDOM
| | - Felix A Achana
- Nuffield Department of Primary Care Health Sciences, Oxford University, Oxford, UNITED KINGDOM
| | - James Bailey
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UNITED KINGDOM
| | - Ying Chen
- Academy of Pharmacy, Xi'an Jiaotong - Liverpool University, Suzhou, CHINA
| | - Martin Frisher
- School of Pharmacy and Bioengineering, Keele University, Keele, UNITED KINGDOM
| | - Alyson L Huntley
- Bristol Population Health Science Institute, Bristol University, Bristol, UNITED KINGDOM
| | - Christian D Mallen
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UNITED KINGDOM
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele, UNITED KINGDOM
| | - May Ee Png
- Nuffield Department of Primary Care Health Sciences, Oxford University, Oxford, UNITED KINGDOM
| | - Stephen Tatton
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UNITED KINGDOM
| | - Simon White
- School of Pharmacy and Bioengineering, Keele University, Keele, UNITED KINGDOM
| | - John J Edwards
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UNITED KINGDOM
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Jordan KP, Rathod‐Mistry T, Bailey J, Chen Y, Clarson L, Denaxas S, Hayward RA, Hemingway H, van der Windt DA, Mamas MA. Long-Term Cardiovascular Risk and Management of Patients Recorded in Primary Care With Unattributed Chest Pain: An Electronic Health Record Study. J Am Heart Assoc 2022; 11:e023146. [PMID: 35301875 PMCID: PMC9075433 DOI: 10.1161/jaha.121.023146] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Background Most adults presenting with chest pain will not receive a diagnosis and be recorded with unattributed chest pain. The objective was to assess if they have increased risk of cardiovascular disease compared with those with noncoronary chest pain and determine whether investigations and interventions are targeted at those at highest risk. Methods and Results We used records from general practices in England linked to hospitalization and mortality information. The study population included patients aged 18 years or over with a new record of chest pain with a noncoronary cause or unattributed between 2002 and 2018, and no cardiovascular disease recorded up to 6 months (diagnostic window) afterward. We compared risk of a future cardiovascular event by type of chest pain, adjusting for cardiovascular risk factors and alternative explanations for chest pain. We determined prevalence of cardiac diagnostic investigations and preventative medication during the diagnostic window in patients with estimated cardiovascular risk ≥10%. There were 375 240 patients with unattributed chest pain (245 329 noncoronary chest pain). There was an increased risk of cardiovascular events for patients with unattributed chest pain, highest in the first year (hazard ratio, 1.25 [95% CI, 1.21-1.29]), persistent up to 10 years. Patients with unattributed chest pain had consistently increased risk of myocardial infarction over time but no increased risk of stroke. Thirty percent of patients at higher risk were prescribed lipid-lowering medication. Conclusions Patients presenting to primary care with unattributed chest pain are at increased risk of cardiovascular events. Primary prevention to reduce cardiovascular events appears suboptimal in those at higher risk.
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Affiliation(s)
| | | | - James Bailey
- School of MedicineKeele UniversityKeeleUnited Kingdom
| | - Ying Chen
- School of MedicineKeele UniversityKeeleUnited Kingdom
- Department of Health and Environmental SciencesXi'an Jiaotong–Liverpool UniversitySuzhouChina
| | - Lorna Clarson
- School of MedicineKeele UniversityKeeleUnited Kingdom
| | - Spiros Denaxas
- Institute of Health InformaticsUniversity College LondonLondonUnited Kingdom
- Health Data Research UKUniversity College LondonLondonUnited Kingdom
| | | | - Harry Hemingway
- Institute of Health InformaticsUniversity College LondonLondonUnited Kingdom
- Health Data Research UKUniversity College LondonLondonUnited Kingdom
- The National Institute for Health ResearchUniversity College London Hospitals Biomedical Research CentreLondonUnited Kingdom
| | | | - Mamas A. Mamas
- Keele Cardiovascular Research GroupSchool of MedicineKeele UniversityKeeleUnited Kingdom
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Peat G, Jordan KP, Wilkie R, Corp N, van der Windt DA, Yu D, Narle G, Ali N. Do recommended interventions widen or narrow inequalities in musculoskeletal health? An equity-focussed systematic review of differential effectiveness. J Public Health (Oxf) 2022; 44:e376-e387. [PMID: 35257184 PMCID: PMC9424108 DOI: 10.1093/pubmed/fdac014] [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] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 05/10/2021] [Indexed: 11/15/2022] Open
Abstract
Background It is unclear whether seven interventions recommended by Public Health England for preventing and managing common musculoskeletal conditions reduce or widen health inequalities in adults with musculoskeletal conditions. Methods We used citation searches of Web of Science (date of ‘parent publication’ for each intervention to April 2021) to identify original research articles reporting subgroup or moderator analyses of intervention effects by social stratifiers defined using the PROGRESS-Plus frameworks. Randomized controlled trials, controlled before-after studies, interrupted time series, systematic reviews presenting subgroup/stratified analyses or meta-regressions, individual participant data meta-analyses and modelling studies were eligible. Two reviewers independently assessed the credibility of effect moderation claims using Instrument to assess the Credibility of Effect Moderation Analyses. A narrative approach to synthesis was used (PROSPERO registration number: CRD42019140018). Results Of 1480 potentially relevant studies, seven eligible analyses of single trials and five meta-analyses were included. Among these, we found eight claims of potential differential effectiveness according to social characteristics, but none that were judged to have high credibility. Conclusions In the absence of highly credible evidence of differential effectiveness in different social groups, and given ongoing national implementation, equity concerns may be best served by investing in monitoring and action aimed at ensuring fair access to these interventions.
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Affiliation(s)
- G Peat
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - K P Jordan
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - R Wilkie
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - N Corp
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - D A van der Windt
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - D Yu
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - G Narle
- Public Health England, London, SE1 8UG, UK.,Versus Arthritis, Chesterfield, S41 7TD, UK
| | - N Ali
- Office for Health Improvement and Disparities, Department of Health and Social Care, London, SW1H 0EU, UK
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Wu P, Sharma GV, Mehta LS, Chew-Graham CA, Lundberg GP, Nerenberg KA, Graham MM, Chappell LC, Kadam UT, Jordan KP, Mamas MA. In-Hospital Complications in Pregnancies Conceived by Assisted Reproductive Technology. J Am Heart Assoc 2022; 11:e022658. [PMID: 35191320 PMCID: PMC9075081 DOI: 10.1161/jaha.121.022658] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [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] [Indexed: 11/16/2022]
Abstract
Background Assisted reproductive technology (ART) has emerged as a common treatment option for infertility, a problem that affects an estimated 48 million couples worldwide. Advancing maternal age with increasing prepregnancy cardiovascular risk factors, such as chronic hypertension, obesity, and diabetes, has raised concerns about pregnancy complications associated with ART. However, in-hospital complications following pregnancies conceived by ART are poorly described. Methods and Results To assess the patient characteristics, obstetric outcomes, vascular complications and temporal trends of pregnancies conceived by ART, we analyzed hospital deliveries conceived with or without ART between January 1, 2008, and December 31, 2016, from the United States National Inpatient Sample database. We included 106 248 deliveries conceived with ART and 34 167 246 deliveries conceived without ART. Women who conceived with ART were older (35 versus 28 years; P<0.0001) and had more comorbidities. ART-conceived pregnancies were independently associated with vascular complications (acute kidney injury: adjusted odds ratio [aOR], 2.52; 95% CI 1.99-3.19; and arrhythmia: aOR, 1.65; 95% CI, 1.46-1.86), and adverse obstetric outcomes (placental abruption: aOR, 1.57; 95% CI, 1.41-1.74; cesarean delivery: aOR, 1.38; 95% CI, 1.33-1.43; and preterm birth: aOR, 1.26; 95% CI, 1.20-1.32), including in subgroups without cardiovascular disease risk factors or without multifetal pregnancies. Higher hospital charges ($18 705 versus $11 983; P<0.0001) were incurred compared with women who conceived without ART. Conclusions Pregnancies conceived by ART have higher risks of adverse obstetric outcomes and vascular complications compared with spontaneous conception. Clinicians should have detailed discussions on the associated complications of ART in women during prepregnancy counseling.
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Affiliation(s)
- Pensée Wu
- Keele Cardiovascular Research Group School of Medicine Keele University Staffordshire United Kingdom.,Academic Unit of Obstetrics and Gynaecology University Hospital of North Midlands Stoke-on-Trent United Kingdom.,Department of Obstetrics and Gynecology National Cheng Kung University Hospital, College of MedicineNational Cheng Kung University Tainan Taiwan
| | - Garima V Sharma
- Division of Cardiology Department of Medicine Ciccarone Center for the Prevention of Cardiovascular Disease Johns Hopkins University School of Medicine Baltimore MD
| | - Laxmi S Mehta
- Division of Cardiology Department of Medicine The Ohio State University Columbus OH
| | - Carolyn A Chew-Graham
- School of Medicine Keele University Staffordshire United Kingdom.,National Institute for Health ResearchApplied Research CollaborationWest Midlands, Keele University Staffordshire United Kingdom
| | - Gina P Lundberg
- Division of Cardiology MedStar Heart and Vascular InstituteMedStar Washington Hospital CenterGeorgetown University Washington DC.,Division of Cardiology Emory University School of Medicine Atlanta GA
| | - Kara A Nerenberg
- Departments of Medicine, Obstetrics and Gynecology and Community Health Sciences University of Calgary Calgary Alberta Canada
| | - Michelle M Graham
- Division of Cardiology University of Alberta and Mazankowski Alberta Heart Institute Edmonton Alberta Canada
| | - Lucy C Chappell
- School of Life Course Sciences King's College London London United Kingdom
| | - Umesh T Kadam
- Diabetes Research Centre University of Leicester Leicester United Kingdom
| | - Kelvin P Jordan
- School of Medicine Keele University Staffordshire United Kingdom
| | - Mamas A Mamas
- Keele Cardiovascular Research Group School of Medicine Keele University Staffordshire United Kingdom.,The Heart Centre University Hospital of North Midlands Stoke-on-Trent United Kingdom
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18
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Yu D, Missen M, Jordan KP, Edwards JJ, Bailey J, Wilkie R, Fitzpatrick J, Ali N, Niblett P, Peat G. Trends in the Annual Consultation Incidence and Prevalence of Low Back Pain and Osteoarthritis in England from 2000 to 2019: Comparative Estimates from Two Clinical Practice Databases. Clin Epidemiol 2022; 14:179-189. [PMID: 35210865 PMCID: PMC8860349 DOI: 10.2147/clep.s337323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 01/06/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose To compare estimates of annual person-consulting incidence and prevalence of low back pain (LBP) and osteoarthritis for two national English electronic health record databases (Clinical Practice Research Datalink (CPRD) Aurum and CPRD GOLD). Patients and Methods Retrospective, population-based, longitudinal cohort study. LBP and osteoarthritis cases were defined using established codelists in people aged ≥15 and ≥45 years, respectively. Incident cases were new recorded cases in a given calendar year with no relevant consultation in the previous 3 years (denominator = exact person-time in the same calendar year for the at-risk population). Prevalent cases were individuals with ≥1 consultation for the condition of interest recorded in a given calendar year, irrespective of prior consultations for the same condition (denominator = all patients with complete registration history in the previous 3 years). We estimated age-sex standardised incidence and annual (12-month period) prevalence for both conditions in 2000–2019, overall, and by sex, age group, and region. Results Standardised incidence and prevalence of LBP from Aurum were lower than those from GOLD until 2014, after which estimates were similar. Both databases showed recent declines in incidence and prevalence of LBP: declines began earlier in GOLD (after 2012–2014) than Aurum (after 2014–2015). Standardised incidence (after 2011) and prevalence of osteoarthritis (after 2003) were higher in Aurum than GOLD and showed different trends: incidence and prevalence were stable or increasing in Aurum, decreasing in GOLD. Stratified estimates in CPRD Aurum suggested consistently higher occurrence among women, older age groups, and those living in the north of England. Conclusion Comparative analyses of two English databases produced conflicting estimates and trends for two common musculoskeletal conditions. Aurum estimates appeared more consistent with external sources and may be useful for monitoring population musculoskeletal health and healthcare demand, but they remain sensitive to analytic decisions and data quality.
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Affiliation(s)
- Dahai Yu
- Primary Care Centre versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
- Correspondence: Dahai Yu, Email
| | - Matthew Missen
- Primary Care Centre versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
| | - Kelvin P Jordan
- Primary Care Centre versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
| | - John J Edwards
- Primary Care Centre versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
| | - James Bailey
- Primary Care Centre versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
| | - Ross Wilkie
- Primary Care Centre versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
| | - Justine Fitzpatrick
- Office for Health Improvement and Disparities, Department of Health and Social Care, London, UK
| | - Nuzhat Ali
- Office for Health Improvement and Disparities, Department of Health and Social Care, London, UK
| | - Paul Niblett
- Office for Health Improvement and Disparities, Department of Health and Social Care, London, UK
| | - George Peat
- Primary Care Centre versus Arthritis, School of Medicine, Keele University, Keele, Staffordshire, UK
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19
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Wu P, Jordan KP, Chew-Graham CA, Mohamed MO, Barac A, Lundberg GP, Chappell LC, Michos ED, Maas AHEM, Mamas MA. In-Hospital Complications in Pregnant Women With Current or Historical Cancer Diagnoses. Mayo Clin Proc 2021; 96:2779-2792. [PMID: 34272068 DOI: 10.1016/j.mayocp.2021.03.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 01/12/2021] [Accepted: 03/02/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To assess the temporal trends, characteristics and comorbidities, and in-hospital cardiovascular and obstetric complications and outcomes of pregnant women with current or historical cancer diagnosis at the time of admission for delivery. METHODS We analyzed delivery hospitalizations with or without current or historical cancer between January 1, 2004, and December 31, 2014, from the US National Inpatient Sample database. RESULTS We included 43,132,097 delivery hospitalizations with no cancer, 39,118 with current cancer, and 67,336 with historical diagnosis of cancer. The 5 most common types of current cancer were hematologic, thyroid, cervical, skin, and breast cancer. Women with current and historical cancer were older (29 years and 32 years vs 27 years) and incurred higher hospital costs ($4131 and $4078 vs $3521) compared with women without cancer. Most of the cancer types were associated with preterm birth (hematologic: adjusted odds ratio [aOR], 1.48 [95% CI, 1.35 to 1.62]; cervical: aOR, 1.47 [95% CI, 1.32 to 1.63]; breast: aOR, 1.93 [95% CI, 1.72 to 2.16]). Current hematologic cancer was associated with the highest risk of peripartum cardiomyopathy (aOR, 12.19 [95% CI, 7.75 to 19.19]), all-cause mortality (aOR, 6.50 [95% CI, 2.22 to 19.07]), arrhythmia (aOR, 3.82 [95% CI, 2.04 to 7.15]), and postpartum hemorrhage (aOR, 1.31 [95% CI, 1.11 to 1.54]). Having a current or historical cancer diagnosis did not confer additional risk for stillbirth; however, metastases increased the risk of maternal mortality and preterm birth. CONCLUSION Women with a current or historical diagnosis of cancer at delivery have more comorbidities compared with women without cancer. Clinicians should communicate the risks of multisystem complications to these complex patients.
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Affiliation(s)
- Pensée Wu
- Keele Cardiovascular Research Group, School of Medicine, Keele University, Staffordshire, United Kingdom; Academic Unit of Obstetrics and Gynaecology, University Hospital of North Midlands, Stoke-on-Trent, United Kingdom.
| | - Kelvin P Jordan
- School of Medicine, Keele University, Staffordshire, United Kingdom
| | - Carolyn A Chew-Graham
- School of Medicine, Keele University, Staffordshire, United Kingdom; National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West Midlands, Keele University, Staffordshire, United Kingdom
| | - Mohamed O Mohamed
- Keele Cardiovascular Research Group, School of Medicine, Keele University, Staffordshire, United Kingdom; The Heart Centre, University Hospital of North Midlands, Stoke-on-Trent, United Kingdom
| | - Ana Barac
- Division of Cardiology, MedStar Heart and Vascular Institute, MedStar Washington Hospital Center, Georgetown University, Washington, DC
| | - Gina P Lundberg
- Division of Cardiology, Emory University School of Medicine, Atlanta, GA; Emory Women's Heart Center, Atlanta, GA
| | - Lucy C Chappell
- Women's Health Academic Centre, King's College London, London, United Kingdom
| | - Erin D Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Angela H E M Maas
- Department of Cardiology, Women's Cardiac Health, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, School of Medicine, Keele University, Staffordshire, United Kingdom; The Heart Centre, University Hospital of North Midlands, Stoke-on-Trent, United Kingdom
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20
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Stynes S, Jordan KP, Hill JC, Wynne-Jones G, Cottrell E, Foster NE, Goodwin R, Bishop A. Evaluation of the First Contact Physiotherapy (FCP) model of primary care: patient characteristics and outcomes. Physiotherapy 2021; 113:199-208. [PMID: 34656297 DOI: 10.1016/j.physio.2021.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 06/16/2021] [Accepted: 08/02/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE First Contact Physiotherapy (FCP) is a primary care model where expert musculoskeletal (MSK) physiotherapists undertake the first patient consultation, to enhance MSK-patient care and free-up GP capacity. The authors report the quantitative findings from the FCP National Evaluation (Phase 3) which evaluated the FCP model against success criteria. DESIGN AND SETTING A mixed-methods 24-month service evaluation involving 40 FCP sites and 240 FCPs across England. METHODS An online platform collected patient-reported experience and outcomes following the FCP consultation and at 1, 2 and 3-months follow-up. These included the Keele STarT MSK Tool, pain intensity (0-10 NRS scale), Musculoskeletal Health Questionnaire (MSK-HQ, range 0-56), and Friends-and-Family Test. RESULTS Over 13 months, 2825 patients were invited by email and 24% (n=680) completed their initial questionnaire. Their mean age was 56.2 (SD 14.9), 61% were female, ethnicity was 97% white, mean pain intensity was 6.1 (SD 2.13) and mean MSK-HQ score was 33.8 (SD 9.5). At 3-months follow-up (n=370) there was a 2.8 (CI 2.5 to 3.1) mean pain intensity reduction from baseline, a mean 7.1 (6.0 to 8.2) score improvement in MSK-HQ and 64% reporting overall improvement (much better/better) since seeing the FCP. One of the six success criteria was not met; 29% of those in employment reported receiving specific work advice from the FCP (target ≥75%). CONCLUSION Ahead of the planned scale-up of the FCP primary care model across the UK, this evaluation provides useful data on patients who access this service, their short-term clinical outcomes and whether key success criteria are being met.
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Affiliation(s)
- S Stynes
- Keele University, School of Medicine, Primary Care Centre Versus Arthritis, Keele, United Kingdom; Midlands Partnership Foundation NHS Trust, Haywood Hospital Spinal Interface Service, Staffordshire, United Kingdom.
| | - K P Jordan
- Keele University, School of Medicine, Primary Care Centre Versus Arthritis, Keele, United Kingdom.
| | - J C Hill
- Keele University, School of Medicine, Primary Care Centre Versus Arthritis, Keele, United Kingdom.
| | - G Wynne-Jones
- Keele University, School of Medicine, Primary Care Centre Versus Arthritis, Keele, United Kingdom.
| | - E Cottrell
- Keele University, School of Medicine, Primary Care Centre Versus Arthritis, Keele, United Kingdom.
| | - N E Foster
- Keele University, School of Medicine, Primary Care Centre Versus Arthritis, Keele, United Kingdom; Faculty of Health and Behavioural Sciences, University of Queensland, Australia.
| | - R Goodwin
- Division of Rehabilitation, Ageing and Wellbeing, Faculty of Medicine & Health Sciences, University of Nottingham, United Kingdom.
| | - A Bishop
- Keele University, School of Medicine, Primary Care Centre Versus Arthritis, Keele, United Kingdom.
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21
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Yu D, Peat G, Jordan KP, Bailey J, Prieto-Alhambra D, Robinson DE, Strauss VY, Walker-Bone K, Silman A, Mamas M, Blackburn S, Dent S, Dunn K, Judge A, Protheroe J, Wilkie R. Estimating the population health burden of musculoskeletal conditions using primary care electronic health records. Rheumatology (Oxford) 2021; 60:4832-4843. [PMID: 33560340 PMCID: PMC8487274 DOI: 10.1093/rheumatology/keab109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 01/18/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES Better indicators from affordable, sustainable data sources are needed to monitor population burden of musculoskeletal conditions. We propose five indicators of musculoskeletal health and assessed if routinely available primary care electronic health records (EHR) can estimate population levels in musculoskeletal consulters. METHODS We collected validated patient-reported measures of pain experience, function and health status through a local survey of adults (≥35 years) presenting to English general practices over 12 months for low back pain, shoulder pain, osteoarthritis and other regional musculoskeletal disorders. Using EHR data we derived and validated models for estimating population levels of five self-reported indicators: prevalence of high impact chronic pain, overall musculoskeletal health (based on Musculoskeletal Health Questionnaire), quality of life (based on EuroQoL health utility measure), and prevalence of moderate-to-severe low back pain and moderate-to-severe shoulder pain. We applied models to a national EHR database (Clinical Practice Research Datalink) to obtain national estimates of each indicator for three successive years. RESULTS The optimal models included recorded demographics, deprivation, consultation frequency, analgesic and antidepressant prescriptions, and multimorbidity. Applying models to national EHR, we estimated that 31.9% of adults (≥35 years) presenting with non-inflammatory musculoskeletal disorders in England in 2016/17 experienced high impact chronic pain. Estimated population health levels were worse in women, older aged and those in the most deprived neighbourhoods, and changed little over 3 years. CONCLUSION National and subnational estimates for a range of subjective indicators of non-inflammatory musculoskeletal health conditions can be obtained using information from routine electronic health records.
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Affiliation(s)
- Dahai Yu
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University
| | - George Peat
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University.,MRC Versus Arthritis Centre for Musculoskeletal Health and Work, University of Southampton, Southampton
| | - Kelvin P Jordan
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University.,Centre for Prognostic Research, Primary Care Centre Versus Arthritis, School of Primary, Community and Social Care, Keele University, Keele
| | - James Bailey
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University
| | - Daniel Prieto-Alhambra
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford
| | - Danielle E Robinson
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford
| | - Victoria Y Strauss
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford
| | - Karen Walker-Bone
- MRC Versus Arthritis Centre for Musculoskeletal Health and Work, University of Southampton, Southampton.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton
| | - Alan Silman
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford
| | - Mamas Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, School of Medicine, Keele University, Keele
| | - Steven Blackburn
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University
| | | | - Kate Dunn
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University
| | - Andrew Judge
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford.,Musculoskeletal Research Unit, University of Bristol, Bristol, UK
| | - Joanne Protheroe
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University
| | - Ross Wilkie
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University.,MRC Versus Arthritis Centre for Musculoskeletal Health and Work, University of Southampton, Southampton
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22
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Ferguson R, Prieto-Alhambra D, Peat G, Delmestri A, Jordan KP, Strauss VY, Valderas JM, Walker C, Yu D, Glyn-Jones S, Silman A. Does pre-existing morbidity influences risks and benefits of total hip replacement for osteoarthritis: a prospective study of 6682 patients from linked national datasets in England. BMJ Open 2021; 11:e046712. [PMID: 34556506 PMCID: PMC8461685 DOI: 10.1136/bmjopen-2020-046712] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
UNLABELLED Total hip arthroplasty (THA) surgery for elderly people with multimorbidity increases the risk of serious health hazards including mortality. Whether such background morbidity reduces the clinical benefit is less clear. OBJECTIVE To evaluate how pre-existing health status, using multiple approaches, influences risks of, and quality of life benefits from, THA. SETTING Longitudinal record linkage study of a UK sample linking their primary care to their secondary care records. PARTICIPANTS A total of 6682 patients were included, based on the recording of the diagnosis of hip osteoarthritis in a national primary care register and the recording of the receipt of THA in a national secondary care register.Data were extracted from the primary care register on background health and morbidity status using five different constructs: Charlson Comorbidity Index, Electronic Frailty Index (eFI) and counts of comorbidity disorders (from list of 17), prescribed medications and number of primary care visits prior to recording of THA. OUTCOME MEASURES (1) Postoperative complications and mortality; (2) postoperative hip pain and function using the Oxford Hip Score (OHS) and health-related quality of life using the EuroQoL (EQ)-5D score. RESULTS Perioperative complication rate was 3.2% and mortality was 0.9%, both increased with worse preoperative health status although this relationship varied depending on the morbidity construct: the eFI showing the strongest relationship but number of visits having no predictive value. By contrast, the benefits were not reduced in those with worse preoperative health, and improvement in both OHS and EQ-5D was observed in all the morbidity categories. CONCLUSIONS Independent of preoperative morbidity, THA leads to similar substantial improvements in quality of life. These are offset by an increase in medical complications in some subgroups of patients with high morbidity, depending on the definition used. For most elderly people, their other health disorders should not be a barrier for THA.
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Affiliation(s)
- Rory Ferguson
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Daniel Prieto-Alhambra
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - George Peat
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Antonella Delmestri
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Kelvin P Jordan
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Vicky Y Strauss
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Jose Maria Valderas
- Health Services and Policy Research Group, Medical School, University of Exeter, Exeter, UK
| | - Christine Walker
- Research User Group, Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Dahai Yu
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Sion Glyn-Jones
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Alan Silman
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
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23
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Ferguson R, Prieto-Alhambra D, Peat G, Delmestri A, Jordan KP, Strauss VY, Valderas JM, Walker C, Yu D, Glyn-Jones S, Silman A. Influence of pre-existing multimorbidity on receiving a hip arthroplasty: cohort study of 28 025 elderly subjects from UK primary care. BMJ Open 2021; 11:e046713. [PMID: 34556507 PMCID: PMC8461704 DOI: 10.1136/bmjopen-2020-046713] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
UNLABELLED The median age for total hip arthroplasty (THA) is over 70 years with the corollary that many individuals have multiple multimorbidities. Despite the predicted improvement in quality of life, THA might be denied even to those with low levels of multimorbidity. OBJECTIVE To evaluate how pre-existing levels of multimorbidity influence the likelihood and timing of THA. SETTING Longitudinal record linkage study of a UK sample linking their primary care to their secondary care records. PARTICIPANTS A total of 28 025 patients were included, based on the recording of the diagnosis of hip osteoarthritis in a national primary care register, Clinical Practice Research Datalink. Data were extracted from the database on background health and morbidity status using five different constructs: Charlson Comorbidity Index, Electronic Frailty Index and counts of chronic diseases (from list of 17), prescribed medications and number of primary care visits prior to recording of osteoarthritis. OUTCOME MEASURES The record of having received a THA as recorded in the primary care record and the linked secondary care database: Hospital Episode Statistics. RESULTS 40% had THA: median follow 10 months (range 1-17 years). Increased multimorbidity was associated with a decreased likelihood of undergoing THA, irrespective of the method of assessing multimorbidity although the impact varied by approach. CONCLUSION Markers of pre-existing ill health influence the decision for THA in the elderly with end-stage hip osteoarthritis, although these effects are modest for indices of multimorbidity other than eFI. There is evidence of this influence being present even in people with moderate decrements in their health, despite the balance of benefits to risk in these individuals being positive.
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Affiliation(s)
- Rory Ferguson
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Daniel Prieto-Alhambra
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - George Peat
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Antonella Delmestri
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Kelvin P Jordan
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Vicky Y Strauss
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Jose Maria Valderas
- Health Services and Policy Research Group, Medical School, University of Exeter, Exeter, UK
| | - Christine Walker
- Research User Group, Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Dahai Yu
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Sion Glyn-Jones
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Alan Silman
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
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24
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Campbell P, Rathod-Mistry T, Marshall M, Bailey J, Chew-Graham CA, Croft P, Frisher M, Hayward R, Negi R, Singh S, Tantalo-Baker S, Tarafdar S, Babatunde OO, Robinson L, Sumathipala A, Thein N, Walters K, Weich S, Jordan KP. Markers of dementia-related health in primary care electronic health records. Aging Ment Health 2021; 25:1452-1462. [PMID: 32578454 DOI: 10.1080/13607863.2020.1783511] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVES Identifying routinely recorded markers of poor health in patients with dementia may help treatment decisions and evaluation of earlier outcomes in research. Our objective was to determine whether a set of credible markers of dementia-related health could be identified from primary care electronic health records (EHR). METHODS The study consisted of (i) rapid review of potential measures of dementia-related health used in EHR studies; (ii) consensus exercise to assess feasibility of identifying these markers in UK primary care EHR; (iii) development of UK EHR code lists for markers; (iv) analysis of a regional primary care EHR database to determine further potential markers; (v) consensus exercise to finalise markers and pool into higher domains; (vi) determination of 12-month prevalence of domains in EHR of 2328 patients with dementia compared to matched patients without dementia. RESULTS Sixty-three markers were identified and mapped to 13 domains: Care; Home Pressures; Severe Neuropsychiatric; Neuropsychiatric; Cognitive Function; Daily Functioning; Safety; Comorbidity; Symptoms; Diet/Nutrition; Imaging; Increased Multimorbidity; Change in Dementia Drug. Comorbidity was the most prevalent recorded domain in dementia (69%). Home Pressures were the least prevalent domain (1%). Ten domains had a statistically significant higher prevalence in dementia patients, one (Comorbidity) was higher in non-dementia patients, and two (Home Pressures, Diet/Nutrition) showed no association with dementia. CONCLUSIONS EHR captures important markers of dementia-related health. Further research should assess if they indicate dementia progression. These markers could provide the basis for identifying individuals at risk of faster progression and outcome measures for use in research.
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Affiliation(s)
- Paul Campbell
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK.,Midlands Partnership NHS Foundation Trust, St. George's Hospital, Stafford, UK
| | - Trishna Rathod-Mistry
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK
| | - Michelle Marshall
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK
| | - James Bailey
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK
| | - Carolyn A Chew-Graham
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK.,Midlands Partnership NHS Foundation Trust, St. George's Hospital, Stafford, UK
| | - Peter Croft
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK
| | - Martin Frisher
- School of Pharmacy and Bioengineering, Keele University, Keele, Staffordshire, UK
| | - Richard Hayward
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK
| | - Rashi Negi
- Midlands Partnership NHS Foundation Trust, St. George's Hospital, Stafford, UK
| | - Swaran Singh
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK
| | - Shula Tantalo-Baker
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK
| | - Suhail Tarafdar
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK
| | - Opeyemi O Babatunde
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK.,Centre for Prognosis Research, Keele University, Keele, Staffordshire, UK
| | - Louise Robinson
- Institute of Health and Society and Newcastle University Institute for Ageing, Newcastle upon Tyne, UK
| | - Athula Sumathipala
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK.,Midlands Partnership NHS Foundation Trust, St. George's Hospital, Stafford, UK
| | - Nwe Thein
- Midlands Partnership NHS Foundation Trust, St. George's Hospital, Stafford, UK
| | - Kate Walters
- Research Department of Primary Care & Population Health, University College London, Royal Free Campus, London, UK
| | - Scott Weich
- Mental Health Research Unit, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Kelvin P Jordan
- School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK.,Centre for Prognosis Research, Keele University, Keele, Staffordshire, UK
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Prathivadi Bhayankaram N, Lacey RJ, Barnett LA, Jordan KP, Dunn KM. Musculoskeletal consultations from childhood to adulthood: a longitudinal study. J Public Health (Oxf) 2021; 42:e428-e434. [PMID: 31774535 DOI: 10.1093/pubmed/fdz141] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 12/19/2022] Open
Abstract
BACKGROUND The Global Burden of Disease reports indicate that musculoskeletal conditions are important causes of disability worldwide. Such conditions may originate in childhood, but studies investigating changes longitudinally and from childhood to adulthood are infrequent. METHODS Nine birth cohorts of children (starting at ages 7-15 years) were followed. Participants were identified from Consultations in Primary Care Archive, an electronic health record database of 11 English general practices. Musculoskeletal consultation prevalence figures were calculated, and reasons for consultation evaluated. RESULTS Annual musculoskeletal consultation prevalence was similar across cohorts for each age. Prevalence increased from 6 to 16% between ages 7 and 22 and was higher in males until age 15, after which prevalence was higher in females. Pain was the most common reason for consultation. Back pain consultations increased from 1 consultation/1000 7 year olds to 84 consultations/1000 22 year olds. Lower limb pain consultations increased from 21 consultations/1000 7 year olds to 56 consultations/1000 22 year olds. CONCLUSIONS This study shows that from childhood, individuals are more likely to seek healthcare for musculoskeletal consultations as they age, but rates are not increasing over time. Changes in consultation rates by age, gender and pain region may inform studies on the development of chronic musculoskeletal pain over the life-course.
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Affiliation(s)
- N Prathivadi Bhayankaram
- Primary Care Centre Versus Arthitis, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK
| | - R J Lacey
- Primary Care Centre Versus Arthitis, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK
| | - L A Barnett
- Primary Care Centre Versus Arthitis, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK
| | - K P Jordan
- Primary Care Centre Versus Arthitis, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK
| | - K M Dunn
- Primary Care Centre Versus Arthitis, School of Primary, Community and Social Care, Keele University, Staffordshire ST5 5BG, UK
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26
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Aili K, Campbell P, Michaleff ZA, Strauss VY, Jordan KP, Bremander A, Croft P, Bergman S. Long-term trajectories of chronic musculoskeletal pain: a 21-year prospective cohort latent class analysis. Pain 2021; 162:1511-1520. [PMID: 33230006 PMCID: PMC8054552 DOI: 10.1097/j.pain.0000000000002137] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 10/13/2020] [Accepted: 10/27/2020] [Indexed: 11/25/2022]
Abstract
ABSTRACT Our knowledge of the prevalence, impact, and outcomes of chronic pain in the general population is predominantly based on studies over relatively short periods of time. The aim of this study was to identify and describe trajectories of the chronic pain status over a period of 21 years. Self-reported population data (n = 1858) from 5 timepoints were analyzed. Pain was categorized by: no chronic pain (NCP), chronic regional pain (CRP), and chronic widespread pain (CWP). Latent class growth analysis was performed for identification of trajectories and logistic regression analysis for identification of predictors for pain prognosis. Five trajectories were identified: (1) persistent NCP (57%), (2) migrating from NCP to CRP or CWP (5%), (3) persistent CRP or migration between CRP and NCP (22%), (4) migration from CRP to CWP (10%), and (5) persistent CWP (6%). Age, sleeping problems, poor vitality, and physical function at baseline were associated with pain progression from NCP. Female gender, seeking care for pain, lack of social support, poor physical function, vitality, and mental health predicted poor pain prognosis among those with CRP. In conclusion, chronic pain was common in the population including 6% reporting persistent CWP, although the majority persistently reported NCP. Most people had stable pain status, but some had ongoing change in pain status over time including people who improved from chronic pain. It was possible to identify clinically relevant factors, characterizing trajectories of chronic pain development, that can be useful for identifying individuals at risk and potential targets for intervention.
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Affiliation(s)
- Katarina Aili
- Spenshult Research and Development Center, Halmstad, Sweden
- Halmstad University, School of Health and Welfare, Halmstad, Sweden
- Karolinska Institutet, Institute of Environmental Medicine, Stockholm, Sweden
| | - Paul Campbell
- Keele University, School for Primary, Community and Social Care, Keele, United Kingdom
- Midlands Partnership NHS Foundation Trust, Stafford, United Kingdom
| | - Zoe A. Michaleff
- Keele University, School for Primary, Community and Social Care, Keele, United Kingdom
| | | | - Kelvin P. Jordan
- Keele University, School for Primary, Community and Social Care, Keele, United Kingdom
- Keele University, Centre for Prognosis Research, Keele, United Kingdom
| | - Ann Bremander
- Spenshult Research and Development Center, Halmstad, Sweden
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Peter Croft
- Keele University, School for Primary, Community and Social Care, Keele, United Kingdom
- Keele University, Centre for Prognosis Research, Keele, United Kingdom
| | - Stefan Bergman
- Spenshult Research and Development Center, Halmstad, Sweden
- University of Gothenburg, Institute of Medicine, Gothenburg, Sweden
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27
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Rathod-Mistry T, Marshall M, Campbell P, Bailey J, Chew-Graham CA, Croft P, Frisher M, Hayward R, Negi R, Robinson L, Singh S, Sumathipala A, Thein N, Walters K, Weich S, Jordan KP. Indicators of dementia disease progression in primary care: An electronic health record cohort study. Eur J Neurol 2021; 28:1499-1510. [PMID: 33378599 DOI: 10.1111/ene.14710] [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: 07/23/2020] [Revised: 12/17/2020] [Accepted: 12/20/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND PURPOSE The objectives were to assess the feasibility and validity of using markers of dementia-related health as indicators of dementia progression in primary care, by assessing the frequency with which they are recorded and by testing the hypothesis that they are associated with recognised outcomes of dementia. The markers, in 13 domains, were derived previously through literature review, expert consensus, and analysis of regional primary care records. METHODS The study population consisted of patients with a recorded dementia diagnosis in the Clinical Practice Research Datalink, a UK primary care database linked to secondary care records. Incidence of recorded domains in the 36 months after diagnosis was determined. Associations of recording of domains with future hospital admission, palliative care, and mortality were derived. RESULTS There were 30,463 people with diagnosed dementia. Incidence of domains ranged from 469/1000 person-years (Increased Multimorbidity) to 11/1000 (Home Pressures). An increasing number of domains in which a new marker was recorded in the first year after diagnosis was associated with hospital admission (hazard ratio for ≥4 domains vs. no domains = 1.24; 95% confidence interval = 1.15-1.33), palliative care (1.87; 1.62-2.15), and mortality (1.57; 1.47-1.67). Individual domains were associated with outcomes with varying strengths of association. CONCLUSIONS Feasibility and validity of potential indicators of progression of dementia derived from primary care records are supported by their frequency of recording and associations with recognised outcomes. Further research should assess whether these markers can help identify patients with poorer prognosis to improve outcomes through stratified care and targeted support.
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Affiliation(s)
| | | | - Paul Campbell
- School of Medicine, Keele University, Keele, UK.,Midlands Partnership NHS Foundation Trust, Stafford, UK
| | | | - Carolyn A Chew-Graham
- School of Medicine, Keele University, Keele, UK.,Midlands Partnership NHS Foundation Trust, Stafford, UK
| | - Peter Croft
- School of Medicine, Keele University, Keele, UK
| | - Martin Frisher
- School of Pharmacy and Bioengineering, Keele University, Keele, UK
| | | | - Rashi Negi
- Midlands Partnership NHS Foundation Trust, Stafford, UK
| | - Louise Robinson
- Institute of Health and Society and Newcastle University Institute for Ageing, Newcastle Upon Tyne, UK
| | - Swaran Singh
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK
| | - Athula Sumathipala
- School of Medicine, Keele University, Keele, UK.,Midlands Partnership NHS Foundation Trust, Stafford, UK
| | - Nwe Thein
- Midlands Partnership NHS Foundation Trust, Stafford, UK
| | - Kate Walters
- Research Department of Primary Care & Population Health, University College London, London, UK
| | - Scott Weich
- Mental Health Research Unit, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Kelvin P Jordan
- School of Medicine, Keele University, Keele, UK.,Centre for Prognosis Research, Keele University, Keele, UK
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28
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Wu P, Jordan KP, Chew-Graham CA, Coutinho T, Lundberg GP, Park KE, Chappell LC, Myint PK, Maas AHEM, Mamas MA. Temporal Trends in Pregnancy-Associated Stroke and Its Outcomes Among Women With Hypertensive Disorders of Pregnancy. J Am Heart Assoc 2020; 9:e016182. [PMID: 32750300 PMCID: PMC7792242 DOI: 10.1161/jaha.120.016182] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [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] [Indexed: 02/06/2023]
Abstract
Background Stroke is a serious complication of hypertensive disorders of pregnancy (HDP), with potentially severe and long‐term sequelae. However, the temporal trends, predictors, and outcomes of stroke in women with HDP at delivery remain unknown. Methods and Results All HDP delivery hospitalizations with or without stroke event (ischemic, hemorrhagic, or unspecified) between 2004 and 2014 in the United States National Inpatient Sample were analyzed to examine incidence, predictors, and prognostic impact of stroke. Of 4 240 284 HDP delivery hospitalizations, 3391 (0.08%) women had stroke. While the prevalence of HDP increased over time, incident stroke rates decreased from 10 to 6 per 10 000 HDP delivery hospitalizations between 2004 and 2014. Women with stroke were increasingly multimorbid, with some risk factors being more strongly associated with ischemic strokes, including congenital heart disease, peripheral vascular disease, dyslipidemia, and sickle cell disease. Delivery complications were also associated with stroke, including cesarean section (odds ratio [OR], 1.58; 95% CI, 1.33–1.86), postpartum hemorrhage (OR, 1.91; 95% CI, 1.33–1.86), and maternal mortality (OR, 99.78; 95% CI, 59.15–168.31), independently of potential confounders. Women with stroke had longer hospital stays (median, 6 versus 3 days), higher hospital charges (median, $14 655 versus $4762), and a higher proportion of nonroutine discharge locations (38% versus 4%). Conclusions The incidence of stroke in women with HDP has declined over time. While a relatively rare event, identification of women at highest risk of ischemic or hemorrhagic stroke on admission for delivery is important to reduce long‐term sequelae.
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Affiliation(s)
- Pensée Wu
- Keele Cardiovascular Research Group School of Primary, Community and Social Care Keele University Staffordshire United Kingdom.,Academic Unit of Obstetrics and Gynaecology University Hospital of North Midlands Stoke-on-Trent United Kingdom
| | - Kelvin P Jordan
- School of Primary, Community and Social Care Keele University Staffordshire United Kingdom
| | - Carolyn A Chew-Graham
- School of Primary, Community and Social Care Keele University Staffordshire United Kingdom.,National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West Midlands Keele University Staffordshire United Kingdom
| | - Thais Coutinho
- Division of Cardiac Prevention and Rehabilitation Division of Cardiology University of Ottawa Heart Institute Ottawa Canada
| | - Gina P Lundberg
- Division of Cardiology Emory University School of Medicine Atlanta GA.,Emory Women's Heart Center Atlanta GA
| | - Ki E Park
- Division of Cardiovascular Medicine University of Florida College of Medicine Gainesville FL
| | - Lucy C Chappell
- Women's Health Academic Centre King's College London London United Kingdom
| | - Phyo K Myint
- Institute of Applied Health Sciences University of Aberdeen United Kingdom
| | - Angela H E M Maas
- Department of Cardiology Women's Cardiac Health Radboud University Medical Center Nijmegen The Netherlands
| | - Mamas A Mamas
- Keele Cardiovascular Research Group School of Primary, Community and Social Care Keele University Staffordshire United Kingdom.,The Heart Centre University Hospital of North Midlands Stoke-on-Trent United Kingdom
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29
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Wu P, Chew-Graham CA, Maas AH, Chappell LC, Potts JE, Gulati M, Jordan KP, Mamas MA. Temporal Changes in Hypertensive Disorders of Pregnancy and Impact on Cardiovascular and Obstetric Outcomes. Am J Cardiol 2020; 125:1508-1516. [PMID: 32273052 DOI: 10.1016/j.amjcard.2020.02.029] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 02/04/2020] [Accepted: 02/06/2020] [Indexed: 12/13/2022]
Abstract
Hypertensive disorders of pregnancy (HDP) are a major cause of maternal morbidity. However, short-term outcomes of HDP subgroups remain unknown. Using National Inpatient Sample database, all delivery hospitalizations between 2004 and 2014 with or without HDP (preeclampsia/eclampsia, chronic hypertension, superimposed preeclampsia on chronic hypertension, and gestational hypertension) were analyzed to examine the association between HDP and adverse in-hospital outcomes. We identified >44 million delivery hospitalizations, within which the prevalence of HDP increased from 8% to 11% over a decade with increasing comorbidity burden. Women with chronic hypertension have higher risks of myocardial infarction, peripartum cardiomyopathy, arrhythmia, and stillbirth compared to women with preeclampsia. Out of all HDP subgroups, the superimposed preeclampsia population had the highest risk of stroke (odds ratio [OR] 7.83, 95% confidence interval [CI] 6.25 to 9.80), myocardial infarction (OR 5.20, 95% CI 3.11 to 8.69), peripartum cardiomyopathy (OR 4.37, 95% CI 3.64 to 5.26), preterm birth (OR 4.65, 95% CI 4.48 to 4.83), placental abruption (OR 2.22, 95% CI 2.09 to 2.36), and stillbirth (OR 1.78, 95% CI 1.66 to 1.92) compared to women without HDP. In conclusion, we are the first to evaluate chronic systemic hypertension without superimposed preeclampsia as a distinct subgroup in HDP and show that women with chronic systemic hypertension are at even higher risk of some adverse outcomes compared to women with preeclampsia. In conclusion, the chronic hypertension population, with and without superimposed preeclampsia, is a particularly high-risk group and may benefit from increased antenatal surveillance and the use of a prognostic risk assessment model incorporating HDP to stratify intrapartum care.
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Affiliation(s)
- Pensée Wu
- Keele Cardiovascular Research Group, School of Primary, Community and Social Care, Keele University, Stoke-on-Trent, UK; Academic Unit of Obstetrics and Gynaecology, University Hospital of North Midlands, Stoke-on-Trent, UK..
| | - Carolyn A Chew-Graham
- School of Primary, Community and Social Care, Keele University, Stoke-on-Trent, UK; National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care (CLAHRC) West Midlands, Keele University, Stoke-on-Trent, UK
| | - Angela Hem Maas
- Department of Cardiology, Women's Cardiac Health, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lucy C Chappell
- Women's Health Academic Centre, King's College London, London, UK
| | - Jessica E Potts
- Keele Cardiovascular Research Group, School of Primary, Community and Social Care, Keele University, Stoke-on-Trent, UK
| | - Martha Gulati
- Division of Cardiology, University of Arizona, Phoenix, AZ
| | - Kelvin P Jordan
- School of Primary, Community and Social Care, Keele University, Stoke-on-Trent, UK
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, School of Primary, Community and Social Care, Keele University, Stoke-on-Trent, UK; The Heart Centre, University Hospital of North Midlands, Stoke-on-Trent, UK
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30
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Chen Y, Farooq S, Edwards J, Chew-Graham CA, Shiers D, Frisher M, Hayward R, Sumathipala A, Jordan KP. Patterns of symptoms before a diagnosis of first episode psychosis: a latent class analysis of UK primary care electronic health records. BMC Med 2019; 17:227. [PMID: 31801530 PMCID: PMC6894287 DOI: 10.1186/s12916-019-1462-y] [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] [Received: 04/11/2019] [Accepted: 11/05/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The nature of symptoms in the prodromal period of first episode psychosis (FEP) remains unclear. The objective was to determine the patterns of symptoms recorded in primary care in the 5 years before FEP diagnosis. METHODS The study was set within 568 practices contributing to a UK primary care health record database (Clinical Practice Research Datalink). Patients aged 16-45 years with a first coded record of FEP, and no antipsychotic prescription more than 1 year prior to FEP diagnosis (n = 3045) was age, gender, and practice matched to controls without FEP (n = 12,180). Fifty-five symptoms recorded in primary care in the previous 5 years, categorised into 8 groups (mood-related, 'neurotic', behavioural change, volition change, cognitive change, perceptual problem, substance misuse, physical symptoms), were compared between cases and controls. Common patterns of symptoms prior to FEP diagnosis were identified using latent class analysis. RESULTS Median age at diagnosis was 30 years, 63% were male. Non-affective psychosis (67%) was the most common diagnosis. Mood-related, 'neurotic', and physical symptoms were frequently recorded (> 30% of patients) before diagnosis, and behavioural change, volition change, and substance misuse were also common (> 10%). Prevalence of all symptom groups was higher in FEP patients than in controls (adjusted odds ratios 1.33-112). Median time from the first recorded symptom to FEP diagnosis was 2-2.5 years except for perceptual problem (70 days). The optimal latent class model applied to FEP patients determined three distinct patient clusters: 'no or minimal symptom cluster' (49%) had no or few symptoms recorded; 'affective symptom cluster' (40%) mainly had mood-related and 'neurotic' symptoms; and 'multiple symptom cluster' (11%) consulted for three or more symptom groups before diagnosis. The multiple symptom cluster was more likely to have drug-induced psychosis, female, obese, and have a higher morbidity burden. Affective and multiple symptom clusters showed a good discriminative ability (C-statistic 0.766; sensitivity 51.2% and specificity 86.7%) for FEP, and many patients in these clusters had consulted for their symptoms several years before FEP diagnosis. CONCLUSIONS Distinctive patterns of prodromal symptoms may help alert general practitioners to those developing psychosis, facilitating earlier identification and referral to specialist care, thereby avoiding potentially detrimental treatment delay.
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Affiliation(s)
- Ying Chen
- School of Primary, Community and Social Care, Keele University, Keele, ST5 5BG UK
| | - Saeed Farooq
- School of Primary, Community and Social Care, Keele University, Keele, ST5 5BG UK
| | - John Edwards
- School of Primary, Community and Social Care, Keele University, Keele, ST5 5BG UK
| | | | - David Shiers
- School of Primary, Community and Social Care, Keele University, Keele, ST5 5BG UK
- University of Manchester, Manchester, M13 9PL UK
- Psychosis Research Unit, Greater Manchester Mental Health NHS Trust, Manchester, M25 3BL UK
| | | | - Richard Hayward
- School of Primary, Community and Social Care, Keele University, Keele, ST5 5BG UK
| | - Athula Sumathipala
- School of Primary, Community and Social Care, Keele University, Keele, ST5 5BG UK
| | - Kelvin P. Jordan
- School of Primary, Community and Social Care, Keele University, Keele, ST5 5BG UK
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31
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Ismail N, Jordan KP, Kadam UT, Edwards JJ, Kinnaird T, Mamas MA. Bleeding After Hospital Discharge Following Acute Coronary Syndrome: Incidence, Types, Timing, and Predictors. J Am Heart Assoc 2019; 8:e013679. [PMID: 31657257 PMCID: PMC6898798 DOI: 10.1161/jaha.119.013679] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [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] [Indexed: 01/28/2023]
Abstract
Background The incidence and predictors of bleeding after acute coronary syndrome are unclear within the real‐world setting. Our objective was to determine the incidence, types, timing, and predictors of bleeding complications following hospital discharge after acute coronary syndrome. Methods and Results We used the Clinical Practice Research Datalink, with linkage to Hospital Episode Statistics, to determine the incidence, timing, and types of bleeding events within 12 months after hospital discharge for acute coronary syndrome. We assessed independent associations between postdischarge bleeding and baseline patient characteristics using a competing risk regression model, accounting for death as a competing event. Among 27 660 patients surviving to hospital discharge, 3620 (13%) experienced bleeding complications at a median time of 123 days (interquartile range, 45–223 days) after discharge. The incidence of bleeding was 162/1000 person‐years (95% CI, 157–167/1000 person‐years) within the first 12 months after hospital discharge. Bruising (949 bleeds [26%]) was the most common type of first bleeding event, followed by gastrointestinal bleed (705 bleeds [20%]), whereas intracranial bleed was relatively rare (81 bleeds [2%]). Significant predictors of postdischarge bleeding included history of bleeding complication, oral anticoagulant prescription, history of peripheral vascular disease, chronic obstructive pulmonary disease, and advanced age (>80 years). Predictors for postdischarge bleeding varied, depending on the anatomic site of the bleeding event. Conclusions Bleeding complications after hospital discharge for acute coronary syndrome are common. Patients who experience these bleeding events have distinct baseline characteristics, which vary by anatomic site of the bleed. These characteristics can inform risk‐benefit considerations in deciding on favorable combination and duration of secondary antithrombotic therapy.
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Affiliation(s)
- Nafiu Ismail
- Centre for Prognosis Research Research Institute for Primary Care and Health Sciences Keele University Staffordshire United Kingdom.,Keele Cardiovascular Research Group Keele University Staffordshire United Kingdom
| | - Kelvin P Jordan
- Centre for Prognosis Research Research Institute for Primary Care and Health Sciences Keele University Staffordshire United Kingdom
| | - Umesh T Kadam
- Department of Health Sciences University of Leicester Leicester United Kingdom
| | - John J Edwards
- Centre for Prognosis Research Research Institute for Primary Care and Health Sciences Keele University Staffordshire United Kingdom
| | - Tim Kinnaird
- Department of Cardiology University Hospital of Wales Cardiff Wales United Kingdom
| | - Mamas A Mamas
- Centre for Prognosis Research Research Institute for Primary Care and Health Sciences Keele University Staffordshire United Kingdom.,Keele Cardiovascular Research Group Keele University Staffordshire United Kingdom
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32
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Jayaweera K, Craig JM, Zavos HMS, Abeysinghe N, De Alwis S, Andras A, Dissanayake L, Dziedzic K, Fernando B, Glozier N, Hewamalage A, Ives J, Jordan KP, Kodituwakku G, Mallen C, Rahman O, Zafar S, Saxena A, Rijsdijk F, Saffery R, Simonoff E, Yusuf R, Sumathipala A. Protocol for establishing a child and adolescent twin register for mental health research and capacity building in Sri Lanka and other low and middle-income countries in South Asia. BMJ Open 2019; 9:e029332. [PMID: 31619420 PMCID: PMC6797400 DOI: 10.1136/bmjopen-2019-029332] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Worldwide, 10%-20% of children and adolescents experience mental health conditions. However, most such disorders remain undiagnosed until adolescence or adulthood. Little is known about the factors that influence mental health in children and adolescents, especially in low and middle-income countries (LMIC), where environmental threats, such as poverty and war, may affect optimal neurodevelopment. Cohort studies provide important information on risks and resilience across the life course by enabling tracking of the effects of early life environment on health during childhood and beyond. Large birth cohort studies, including twin cohorts that can be aetiologically informative, have been conducted within high-income countries but are not generalisable to LMIC. There are limited longitudinal birth cohort studies in LMIC. METHODS We sought to enhance the volume of impactful research in Sri Lanka by establishing a Centre of Excellence for cohort studies. The aim is to establish a register of infant, child and adolescent twins, including mothers pregnant with twins, starting in the districts of Colombo (Western Province) and Vavuniya (Northern Province). We will gain consent from twins or parents for future research projects. This register will provide the platform to investigate the aetiology of mental illness and the impact of challenges to early brain development on future mental health. Using this register, we will be able to conduct research that will (1) expand existing research capacity on child and adolescent mental health and twin methods; (2) further consolidate existing partnerships and (3) establish new collaborations. The initiative is underpinned by three pillars: high-quality research, ethics, and patient and public involvement and engagement (PPIE). ETHICS AND DISSEMINATION Ethical approval for this study was obtained from the Ethics Review Committee of Sri Lanka Medical Association and Keele University's Ethical Review Panel. In addition to journal publications, a range of PPIE activities have been conducted.
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Affiliation(s)
- Kaushalya Jayaweera
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
| | - Jeffrey M Craig
- Centre for Molecular and Medical Research, School of Medicine, Faculty of Health, Deakin University, Geelong, Victoria, Australia
| | - Helena M S Zavos
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, United Kingdom
| | - Nihal Abeysinghe
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
| | - Sunil De Alwis
- Ministry of Health, Nutrition and Indigenous Medicine, Colombo, Sri Lanka
| | - Alina Andras
- Research Institute of Primary Care and Health Sciences, Keele University, Newcastle-under-Lyme, Staffordshire, United Kingdom
| | - Lasith Dissanayake
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
| | - Krysia Dziedzic
- Arthritis Research Campaign National Primary Care Centre, Stoke on Trent, UK
| | - Buddhika Fernando
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
- Research Institute of Primary Care and Health Sciences, Keele University, Newcastle-under-Lyme, Staffordshire, United Kingdom
| | - Nick Glozier
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Asiri Hewamalage
- Ministry of Health, Nutrition and Indigenous Medicine, Colombo, Sri Lanka
| | - Jonathan Ives
- Department of Population Health Sciences, Centre for Ethics in Medicine, University of Bristol, Bristol, UK
| | - Kelvin P Jordan
- Primary Care and Health Sciences, Keele University, Keele, UK
| | - Godwin Kodituwakku
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
| | - Christian Mallen
- Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
| | - Omar Rahman
- Public Health, Independent University, Dhaka, Bangladesh
| | - Shamsa Zafar
- Centre of Excellence in MNCH, Health Services Academy, Islamabad, Pakistan
| | - Alka Saxena
- Genomic Research Platform and Single Cell Laboratory, Biomedical Research Centre, Guy's and Saint Thomas' Hospitals NHS Trust, London, UK
| | - Fruhling Rijsdijk
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Richard Saffery
- Cancer and Disease Epigenetics, Murdoch Childrens Research Institute, Parkville, Victoria, Australia
- Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Emily Simonoff
- Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Rita Yusuf
- School of Life Sciences, Independent University, Dhaka, Bangladesh
| | - Athula Sumathipala
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
- Research Institute of Primary Care and Health Sciences, Keele University, Newcastle-under-Lyme, Staffordshire, United Kingdom
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Ismail N, Jordan KP, Rao S, Kinnaird T, Potts J, Kadam UT, Mamas MA. Incidence and prognostic impact of post discharge bleeding post acute coronary syndrome within an outpatient setting: a systematic review. BMJ Open 2019; 9:e023337. [PMID: 30787079 PMCID: PMC6398751 DOI: 10.1136/bmjopen-2018-023337] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [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] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE The primary objective was to determine the incidence of bleeding events post acute coronary syndrome (ACS) following hospital discharge. The secondary objective was to determine the prognostic impact of bleeding on mortality, major adverse cardiovascular events (MACE), myocardial re-infarction and rehospitalisation in the postdischarge setting. DESIGN A narrative systematic review. DATA SOURCE Medline, Embase, Amed and Central (Cochrane) were searched up to August 2018. STUDY SELECTION For the primary objective, randomised controlled trials (RCT) and observational studies reporting on the incidence of bleeding post hospital discharge were included. For the secondary objective, RCTs and observational studies that compared patients with bleeding versus those without bleeding post hospital discharge vis-à-vis mortality, MACE, myocardial re-infarction and rehospitalisation were included. RESULTS 53 studies (36 observational studies and 17 RCTs) with a combined cohort of 714 458 participants for the primary objectives and 187 317 for the secondary objectives were included. Follow-up ranged from 1 month to just over 4 years. The incidence of bleeding within 12 months post hospital discharge ranged from 0.20% to 37.5% in observational studies and between 0.96% and 39.4% in RCTs. The majority of bleeds occurred in the initial 3 months after hospital discharge with bruising the most commonly reported event. Major bleeding increased the risk of mortality by nearly threefold in two studies. One study showed an increased risk of MACE (HR 3.00,95% CI 2.75 to 3.27; p<0.0001) with bleeding and another study showed a non-significant association with rehospitalisation (HR 1.20,95% CI 0.95 to 1.52; p=0.13). CONCLUSION Bleeding complications following ACS management are common and continue to occur in the long term after hospital discharge. These bleeding complications may increase the risk of mortality and MACE, but greater evidence is needed to assess their long-term effects. PROSPERO REGISTRATION NUMBER CRD42017062378.
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Affiliation(s)
- Nafiu Ismail
- Research Institute for Primary Care and Health Sciences, Keele University, Newcastle, UK
| | - Kelvin P Jordan
- Research Institute for Primary Care and Health Sciences, Keele University, Newcastle, UK
| | - Sunil Rao
- The Duke Clinical Research Institute, Durham, North Carolina, USA
| | - Tim Kinnaird
- Department of Cardiology, University Hospital of Wales, Cardiff, UK
| | - Jessica Potts
- Research Institute for Primary Care and Health Sciences, Keele University, Newcastle, UK
| | - Umesh T Kadam
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Mamas A Mamas
- Research Institute for Primary Care and Health Sciences, Keele University, Newcastle, UK
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Bedson J, Chen Y, Ashworth J, Hayward RA, Dunn KM, Jordan KP. Risk of adverse events in patients prescribed long‐term opioids: A cohort study in the UK Clinical Practice Research Datalink. Eur J Pain 2019; 23:908-922. [DOI: 10.1002/ejp.1357] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 10/25/2018] [Accepted: 12/30/2018] [Indexed: 01/08/2023]
Affiliation(s)
- John Bedson
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences Keele University Staffordshire UK
| | - Ying Chen
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences Keele University Staffordshire UK
| | - Julie Ashworth
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences Keele University Staffordshire UK
| | - Richard A. Hayward
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences Keele University Staffordshire UK
| | - Kate M. Dunn
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences Keele University Staffordshire UK
| | - Kelvin P. Jordan
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences Keele University Staffordshire UK
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35
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Ferguson RJ, Prieto‐Alhambra D, Walker C, Yu D, Valderas JM, Judge A, Griffiths J, Jordan KP, Peat G, Glyn‐Jones S, Silman AJ. Validation of hip osteoarthritis diagnosis recording in the UK Clinical Practice Research Datalink. Pharmacoepidemiol Drug Saf 2018; 28:187-193. [DOI: 10.1002/pds.4673] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 08/01/2018] [Accepted: 09/11/2018] [Indexed: 11/09/2022]
Affiliation(s)
- Rory J. Ferguson
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal SciencesUniversity of Oxford Oxford UK
| | - Daniel Prieto‐Alhambra
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal SciencesUniversity of Oxford Oxford UK
| | - Christine Walker
- Primary Care and Health Sciences DepartmentKeele University Keele UK
| | - Dahai Yu
- Primary Care and Health Sciences DepartmentKeele University Keele UK
| | | | - Andrew Judge
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal SciencesUniversity of Oxford Oxford UK
| | - John Griffiths
- Oxford University Hospital NHS Foundation Trust Oxford UK
| | - Kelvin P. Jordan
- Primary Care and Health Sciences DepartmentKeele University Keele UK
| | - George Peat
- Primary Care and Health Sciences DepartmentKeele University Keele UK
| | - Sion Glyn‐Jones
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal SciencesUniversity of Oxford Oxford UK
| | - Alan J. Silman
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal SciencesUniversity of Oxford Oxford UK
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Yu D, Jordan KP, Snell KIE, Riley RD, Bedson J, Edwards JJ, Mallen CD, Tan V, Ukachukwu V, Prieto-Alhambra D, Walker C, Peat G. Development and validation of prediction models to estimate risk of primary total hip and knee replacements using data from the UK: two prospective open cohorts using the UK Clinical Practice Research Datalink. Ann Rheum Dis 2018; 78:91-99. [PMID: 30337425 PMCID: PMC6317440 DOI: 10.1136/annrheumdis-2018-213894] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [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] [Received: 06/07/2018] [Revised: 09/14/2018] [Accepted: 09/15/2018] [Indexed: 12/23/2022]
Abstract
Objectives The ability to efficiently and accurately predict future risk of primary total hip and knee replacement (THR/TKR) in earlier stages of osteoarthritis (OA) has potentially important applications. We aimed to develop and validate two models to estimate an individual’s risk of primary THR and TKR in patients newly presenting to primary care. Methods We identified two cohorts of patients aged ≥40 years newly consulting hip pain/OA and knee pain/OA in the Clinical Practice Research Datalink. Candidate predictors were identified by systematic review, novel hypothesis-free ‘Record-Wide Association Study’ with replication, and panel consensus. Cox proportional hazards models accounting for competing risk of death were applied to derive risk algorithms for THR and TKR. Internal–external cross-validation (IECV) was then applied over geographical regions to validate two models. Results 45 predictors for THR and 53 for TKR were identified, reviewed and selected by the panel. 301 052 and 416 030 patients newly consulting between 1992 and 2015 were identified in the hip and knee cohorts, respectively (median follow-up 6 years). The resultant model C-statistics is 0.73 (0.72, 0.73) and 0.79 (0.78, 0.79) for THR (with 20 predictors) and TKR model (with 24 predictors), respectively. The IECV C-statistics ranged between 0.70–0.74 (THR model) and 0.76–0.82 (TKR model); the IECV calibration slope ranged between 0.93–1.07 (THR model) and 0.92–1.12 (TKR model). Conclusions Two prediction models with good discrimination and calibration that estimate individuals’ risk of THR and TKR have been developed and validated in large-scale, nationally representative data, and are readily automated in electronic patient records.
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Affiliation(s)
- Dahai Yu
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - Kelvin P Jordan
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - Kym I E Snell
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK.,Centre for Prognostic Research, Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - Richard D Riley
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK.,Centre for Prognostic Research, Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - John Bedson
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - John James Edwards
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - Christian D Mallen
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - Valerie Tan
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - Vincent Ukachukwu
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - Daniel Prieto-Alhambra
- GREMPAL (Grup de Recerca en Epidemiologia de les Malalties Prevalents de l'Aparell Locomotor), Idiap Jordi Gol Primary Care Research Institute and CIBERFes, Universitat Autònoma de Barcelona and Instituto de Salud Carlos III, Barcelona, Spain.,Musculoskeletal Pharmaco- and Device Epidemiology - Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Christine Walker
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - George Peat
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
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Abstract
Purpose Primary care electronic health records are increasingly used to estimate the occurrence of osteoarthritis (OA). We aimed to estimate the extent and trend over time of underrecording of severe OA patients in UK primary care electronic health records using first primary total hip and knee replacements (THR/TKR) - >90% of which are performed for OA - as the reference population. Patients and methods We identified patients with a first primary THR or TKR recorded in the UK Clinical Practice Research Datalink between 2000 and 2015. We then searched for a diagnostic/problem code for OA up to 10 years prior to THR/TKR using 3 definitions: "diagnosed OA (joint-specific)," "diagnosed OA (any joint)," "clinical OA" (diagnosed OA or relevant peripheral joint pain symptom code). Results Among 34,299 THR patients identified, 28.1%, 53.4%, and 74.4% had a prior record of diagnosed OA (hip), diagnosed OA (any), and clinical OA, respectively. Among 47,588 TKR patients, the corresponding figures were, 25.5% (diagnosed OA [knee]), 43.7%, and 74.8%. In the UK Clinical Practice Research Datalink, the proportion of patients with prior recorded OA decreased between 2000 and 2015. Conclusion An increasing trend of underrecording of OA or joint pain among patients with THR or TKR (severe OA patients) between 2000 and 2015 was identified. An underestimate health care demand could be derived based on consultation incidence and prevalence of OA from electronic health record data that relies on osteoarthritis diagnostic codes. Further studies are warranted to investigate the validity of OA or joint pain recorded in primary care settings, which might be used to correct the consultation incidence and prevalence of OA.
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Affiliation(s)
- Dahai Yu
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, Newcastle, UK,
| | - Kelvin P Jordan
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, Newcastle, UK,
| | - George Peat
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, Newcastle, UK,
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38
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Barnett LA, Pritchard MG, Edwards JJ, Afolabi EK, Jordan KP, Healey EL, Finney AG, Chew-Graham CA, Mallen CD, Dziedzic KS. Relationship of anxiety with joint pain and its management: A population survey. Musculoskeletal Care 2018; 16:353-362. [PMID: 29675943 DOI: 10.1002/msc.1243] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 03/11/2018] [Accepted: 03/11/2018] [Indexed: 06/08/2023]
Abstract
OBJECTIVES The aims of the present study was to examine the associations between the severity of pain and anxiety in a community population reporting joint pain, and to investigate the management of joint pain in the presence of comorbid anxiety. METHODS A population survey was carried out of people aged ≥45 years, registered with eight general practices in Cheshire, Shropshire and Staffordshire, UK. Respondents were asked to report pain intensity in their hands, hips, knees and feet (on a numerical rating scale), anxiety symptoms (Generalized Anxiety Disorder seven-item [GAD-7] scale) and guideline-recommended treatments used to manage pain. Clinical anxiety was defined by a GAD-7 score of 10 or more. RESULTS A total of 11,222 respondents with joint pain were included in the analysis, with 1,802 (16.1%) reporting clinical anxiety. Respondents reporting more severe pain were more likely to report clinical anxiety (severe versus mild pain, odds ratio [OR] 5.36, 95% confidence interval [CI] 4.56 to 6.31). The number of pain sites was also positively associated with clinical anxiety (four versus one site; OR 3.64, 95% CI 3.09 to 4.30). Those with clinical anxiety were less likely to undertake general fitness exercises (OR 0.60, 95% CI 0.52 to 0.70), but more likely to diet (OR 1.43, 95% CI 1.21 to 1.69), use walking aids (OR 1.53, 95% CI 1.32 to 1.77) and assistive devices (OR 1.24, 95% CI 1.04 to 1.49), and more likely to use opioids (OR 1.34, 95% CI 1.18 to1.52). CONCLUSIONS Anxiety is common among patients presenting to primary care with joint pain. Patients with anxiety are likely to manage their joint pain differently to those without. Case-finding to identify and treat anxiety would be appropriate in this population, with caution about opioid prescribing and consideration of exercise as an intervention.
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Affiliation(s)
- Lauren A Barnett
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Mark G Pritchard
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
- Royal Stoke University Hospital, Stoke-on-Trent, Staffordshire
| | - John J Edwards
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Ebenezer K Afolabi
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Kelvin P Jordan
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Emma L Healey
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Andrew G Finney
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Carolyn A Chew-Graham
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
- Collaboration for Leadership in Applied Health Research and Care, West Midlands
| | - Christian D Mallen
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
- Collaboration for Leadership in Applied Health Research and Care, West Midlands
| | - Krysia S Dziedzic
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
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Healey EL, Afolabi EK, Lewis M, Edwards JJ, Jordan KP, Finney A, Jinks C, Hay EM, Dziedzic KS. Uptake of the NICE osteoarthritis guidelines in primary care: a survey of older adults with joint pain. BMC Musculoskelet Disord 2018; 19:295. [PMID: 30115048 PMCID: PMC6097435 DOI: 10.1186/s12891-018-2196-2] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [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: 01/23/2018] [Accepted: 07/17/2018] [Indexed: 11/21/2022] Open
Abstract
Background Osteoarthritis (OA) is a leading cause of pain and disability. NICE OA guidelines (2008) recommend that patients with OA should be offered core treatments in primary care. Assessments of OA management have identified a need to improve primary care of people with OA, as recorded use of interventions concordant with the NICE guidelines is suboptimal in primary care. The aim of this study was to i) describe the patient-reported uptake of non-pharmacological and pharmacological treatments recommended in the NICE OA guidelines in older adults with a self-reported consultation for joint pain and ii) determine whether patient characteristics or OA diagnosis impact uptake. Methods A cross-sectional survey mailed to adults aged ≥45 years (n = 28,443) from eight general practices in the UK as part of the MOSAICS study. Respondents who reported the presence of joint pain, a consultation in the previous 12 months for joint pain, and gave consent to medical record review formed the sample for this study. Results Four thousand fifty-nine respondents were included in the analysis (mean age 65.6 years (SD 11.2), 2300 (56.7%) females). 502 (12.4%) received an OA diagnosis in the previous 12 months. More participants reported using pharmacological treatments (e.g. paracetamol (31.3%), opioids (40.4%)) than non-pharmacological treatments (e.g. exercise (3.8%)). Those with an OA diagnosis were more likely to use written information (OR 1.57; 95% CI 1.26,1.96), paracetamol (OR 1.30; 95% CI 1.05,1.62) and topical NSAIDs (OR 1.30; 95% CI 1.04,1.62) than those with a joint pain code. People aged ≥75 years were less likely to use written information (OR 0.56; 95% CI 0.40,0.79) and exercise (OR 0.37; 95% CI 0.25,0.55) and more likely to use paracetamol (OR 1.91; 95% CI 1.38,2.65) than those aged < 75 years. Conclusion The cross-sectional population survey was conducted to examine the uptake of the treatments that are recommended in the NICE OA guidelines in older adults with a self-reported consultation for joint pain and to determine whether patient characteristics or OA diagnosis impact uptake. Non-pharmacological treatment was suboptimal compared to pharmacological treatment. Implementation of NICE guidelines needs to examine why non-pharmacological treatments, such as exercise, remain under-used especially among older people.
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Affiliation(s)
- Emma Louise Healey
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK.
| | - Ebenezer K Afolabi
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Martyn Lewis
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK.,Keele Clinical Trials Unit, David Weatherall Building, Keele University, Staffordshire, UK
| | - John J Edwards
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Kelvin P Jordan
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK.,Keele Clinical Trials Unit, David Weatherall Building, Keele University, Staffordshire, UK
| | - Andrew Finney
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK.,School of Nursing and Midwifery, Keele University, Staffordshire, UK
| | - Clare Jinks
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Elaine M Hay
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Krysia S Dziedzic
- Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
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40
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Chen Y, Bedson J, Hayward RA, Jordan KP. Trends in prescribing of non-steroidal anti-inflammatory drugs in patients with cardiovascular disease: influence of national guidelines in UK primary care. Fam Pract 2018; 35:426-432. [PMID: 29365071 DOI: 10.1093/fampra/cmx142] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Non-steroidal anti-inflammatory drugs (NSAIDs) are commonly used to treat pain, but have potential side effects in patients with cardiovascular disease (CVD). OBJECTIVES To determine trends in NSAIDs prescribing between 2002 and 2010 in patients with CVD, and ascertain whether prescribing patterns changed following publication of major national (the Medicines and Healthcare products Regulatory Agency (MHRA) and the National Institute for Health and Clinical Excellence (NICE)) guidance to GPs. METHODS This was an observational database study of adult patients in 11 practices (Staffordshire, England). NSAIDs were categorised into basic, COX-2 and topical. Study duration was divided on a quarterly basis from 2002-quarter-1 to 2010q4. CVD patients were identified using pre-defined Read Codes recorded in the two years prior to each quarter. Quarterly prevalence was determined. Times of significant changes in prescribing trends were determined using Joinpoint Regression, and compared to dates of the five major guidelines (in 2004q4, 2005q1, 2005q3, 2006q4, 2008q1). RESULTS In CVD patients, the prescription of basic NSAIDs showed a decreasing trend throughout the study period, from 774 (95% CI, 691-863) per 10000 patients in 2002q1 to 245 (204-291) in 2010q4. COX-2 prescribing increased from 232/10000 (187-286) in 2002q1 to 403/10000 (348-464) in 2004q3. Prescribing then fell sharply to 102/10000 (76-134) in 2005q2 before stabilising around 55/10000. Topical NSAIDs prescribing showed a steady increase, starting at 115/10000 (108-123) in 2002q1 and ending at 270/10000 (258-281) in 2010q4. Similar trends were observed in patients without CVD, particularly a sharp drop in COX-2 prescribing also occurred from 2004q4 when initial MHRA guidance was issued. CONCLUSION Despite guidelines and a trend toward decreased prescribing, the use of potentially harmful NSAIDs continued in CVD patients. The MHRA directives potentially might have affected patients without CVD who may have inappropriately restricted their use of COX-2.
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Affiliation(s)
- Ying Chen
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, UK
| | - John Bedson
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, UK
| | - Richard A Hayward
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, UK
| | - Kelvin P Jordan
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, UK
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41
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Oppong R, Jowett S, Lewis M, Clarkson K, Paskins Z, Croft P, Edwards JJ, Healey E, Jordan KP, Morden A, Ong BN, Porcheret M, Finney A, Hay E, Dziedzic K. Cost-effectiveness of a model consultation to support self-management in patients with osteoarthritis. Rheumatology (Oxford) 2018; 57:1056-1063. [PMID: 29554338 PMCID: PMC5965099 DOI: 10.1093/rheumatology/key037] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Indexed: 11/13/2022] Open
Abstract
Objectives The aim of this study was to estimate the cost-effectiveness of a model OA consultation for OA to support self-management compared with usual care. Methods An incremental cost-utility analysis using patient responses to the three-level EuroQoL-5D (EQ-5D) questionnaire was undertaken from a UK National Health Service perspective alongside a two-arm cluster-randomized controlled trial. Uncertainty was explored through the use of cost-effectiveness acceptability curves. Results Differences in health outcomes between the model OA consultation and usual care arms were not statistically significant. On average, visits to the orthopaedic surgeon were lower in the model OA consultation arm by -0.28 (95% CI: -0.55, -0.06). The cost-utility analysis indicated that the model OA consultation was associated with a non-significant incremental cost of £-13.11 (95% CI: -81.09 to 54.85) and an incremental quality adjusted life year (QALY) of -0.003 (95% CI: -0.03 to 0.02), with a 44% chance of being cost-effective at a threshold of £20 000 per QALY gained. The percentage of participants who took time off and the associated productivity cost were lower in the model OA consultation arm. Conclusion Implementing National Institute for Health and Care Excellence guidelines using a model OA consultation in primary care does not appear to lead to increased costs, but health outcomes remain very similar to usual care. Even though the intervention seems to reduce the demand for orthopaedic surgery, overall it is unlikely to be cost-effective.
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Affiliation(s)
- Raymond Oppong
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK.,Health Economics Unit, University of Birmingham, Birmingham, UK
| | - Sue Jowett
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK.,Health Economics Unit, University of Birmingham, Birmingham, UK
| | - Martyn Lewis
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK.,Haywood Academic Rheumatology Centre, Staffordshire and Stoke-on-Trent Partnersip Trust, Stoke-on-Trent, UK
| | - Kris Clarkson
- Haywood Academic Rheumatology Centre, Staffordshire and Stoke-on-Trent Partnersip Trust, Stoke-on-Trent, UK
| | - Zoe Paskins
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK.,Keele Clinical Trials Unit, David Weatherall Building, Keele University, Keele, UK
| | - Peter Croft
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
| | - John J Edwards
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
| | - Emma Healey
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
| | - Kelvin P Jordan
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK.,Haywood Academic Rheumatology Centre, Staffordshire and Stoke-on-Trent Partnersip Trust, Stoke-on-Trent, UK
| | - Andrew Morden
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
| | - Bie Nio Ong
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
| | - Mark Porcheret
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
| | - Andrew Finney
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
| | - Elaine Hay
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
| | - Krysia Dziedzic
- Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
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Campbell P, Jordan KP, Smith BH, Scotland G, Dunn KM. Chronic pain in families: a cross-sectional study of shared social, behavioural, and environmental influences. Pain 2018; 159:41-47. [PMID: 28937576 PMCID: PMC5737454 DOI: 10.1097/j.pain.0000000000001062] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [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: 03/31/2017] [Revised: 07/18/2017] [Accepted: 09/05/2017] [Indexed: 11/29/2022]
Abstract
Chronic pain is common and creates a significant burden to the individual and society. Emerging research has shown the influence of the family environment on pain outcomes. However, it is not clear what shared factors between family members associate with chronic pain. This study aimed to investigate the family-level contribution to an individual's chronic pain status. This was a cross-sectional study using the Generation Scotland: Scottish Family Health Study data set. This study focused on a nested cohort of dyads (only 2 relatives per family, n = 2714). Multi-level modelling was first performed to estimate the extent of variance in chronic pain at the family level. Then each member of the dyad was randomly assigned as either the exposure or outcome family member, and logistic regression was used to identify shared factors associated with the outcome of chronic pain status. Multi-level modelling showed just under 10% of variation in chronic pain status was at a family level. There was an increase in odds of chronic pain if exposure family member had chronic pain (odds ratio [OR]: 1.30, 95% confidence interval [CI]: 1.02-1.65), if both were women (OR: 1.39, 95% CI: 0.99-1.94), if both were older in age (OR: 1.80, 95% CI: 1.31-2.48), and if both had low household income (OR: 3.27, 95% CI: 1.72-6.21). These findings show that most explanation for chronic pain is still at the individual level. However, some significant shared effects between family members associate with chronic pain, and this highlights the influence of the family context.
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Affiliation(s)
- Paul Campbell
- Arthritis Research UK Primary Care Centre, Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, United Kingdom
| | - Kelvin P. Jordan
- Arthritis Research UK Primary Care Centre, Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, United Kingdom
| | - Blair H. Smith
- Division of Population Health Sciences, School of Medicine, University of Dundee, Dundee, United Kingdom
- Generation Scotland, Centre for Genomics and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Generation Scotland
- Generation Scotland, Centre for Genomics and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Kate M. Dunn
- Arthritis Research UK Primary Care Centre, Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, United Kingdom
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Jackson H, Barnett LA, Jordan KP, Dziedzic KS, Cottrell E, Finney AG, Paskins Z, Edwards JJ. Patterns of routine primary care for osteoarthritis in the UK: a cross-sectional electronic health records study. BMJ Open 2017; 7:e019694. [PMID: 29289942 PMCID: PMC5778330 DOI: 10.1136/bmjopen-2017-019694] [Citation(s) in RCA: 9] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE To determine common patterns of recorded primary care for osteoarthritis (OA), and patient and provider characteristics associated with the quality of recorded care. DESIGN An observational study nested within a cluster-randomised controlled trial. SETTING Eight UK general practices who were part of the Management of Osteoarthritis in Consultations study. PARTICIPANTS Patients recorded as consulting within the eight general practices for clinical OA. PRIMARY OUTCOMES Achievement of seven quality indicators of care (pain/function assessment, information provision, exercise/weight advice, analgesics, physiotherapy), recorded through an electronic template or routinely recorded in the electronic healthcare records, was identified for patients aged ≥45 years consulting over a 6-month period with clinical OA. Latent class analysis was used to cluster patients based on care received. Clusters were compared on patient and clinician-level characteristics. RESULTS 1724 patients (median by practice 183) consulted with clinical OA. Common patterns of recorded quality care were: cluster 1 (38%, High) received most quality indicators of care; cluster 2 (11%, Moderate) had pain and function assessment, and received or were considered for other indicators; cluster 3 (17%, Low) had pain and function assessment, and received or were considered for paracetamol or topical non-steroidal anti-inflammatory drugs; cluster 4 (35%, None) had no recorded quality indicators. Patients with higher levels of recorded care consulted a clinician who saw more patients with OA, consulted multiple times and had less morbidity. Those in the High cluster were more likely to have recorded diagnosed OA and have knee/hip OA. CONCLUSIONS Patterns of recorded care for OA fell into four natural clusters. Appropriate delivery of core interventions and relatively safe pharmacological options for OA are still not consistently recorded as provided in primary care. Further research to understand clinical recording behaviours and determine potential barriers to quality care alongside effective training for clinicians is needed. TRIAL REGISTRATION NUMBER ISRCTN06984617; Results.
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Affiliation(s)
- Holly Jackson
- Arthritis Research UK Primary Care Centre, Keele University Research Institute for Primary Care and Health Sciences, Keele, UK
- School of Mathematical Sciences, University of Nottingham, Nottingham, UK
| | - Lauren A Barnett
- Arthritis Research UK Primary Care Centre, Keele University Research Institute for Primary Care and Health Sciences, Keele, UK
| | - Kelvin P Jordan
- Arthritis Research UK Primary Care Centre, Keele University Research Institute for Primary Care and Health Sciences, Keele, UK
- Keele Clinical Trials Unit, Keele University, Staffordshire, UK
| | - Krysia S Dziedzic
- Arthritis Research UK Primary Care Centre, Keele University Research Institute for Primary Care and Health Sciences, Keele, UK
| | - Elizabeth Cottrell
- Arthritis Research UK Primary Care Centre, Keele University Research Institute for Primary Care and Health Sciences, Keele, UK
| | - Andrew G Finney
- Arthritis Research UK Primary Care Centre, Keele University Research Institute for Primary Care and Health Sciences, Keele, UK
| | - Zoe Paskins
- Arthritis Research UK Primary Care Centre, Keele University Research Institute for Primary Care and Health Sciences, Keele, UK
- Rheumatology Department, The Haywood Hospital, Stoke-on-Trent, UK
| | - John J Edwards
- Arthritis Research UK Primary Care Centre, Keele University Research Institute for Primary Care and Health Sciences, Keele, UK
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Yu D, Jordan KP, Bedson J, Englund M, Blyth F, Turkiewicz A, Prieto-Alhambra D, Peat G. Population trends in the incidence and initial management of osteoarthritis: age-period-cohort analysis of the Clinical Practice Research Datalink, 1992-2013. Rheumatology (Oxford) 2017; 56:1902-1917. [PMID: 28977564 PMCID: PMC5850125 DOI: 10.1093/rheumatology/kex270] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [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: 02/01/2017] [Indexed: 12/31/2022] Open
Abstract
Objective To determine recent trends in the rate and management of new cases of OA presenting to primary healthcare using UK nationally representative data. Methods Using the Clinical Practice Research Datalink we identified new cases of diagnosed OA and clinical OA (including OA-relevant peripheral joint pain in those aged over 45 years) using established code lists. For both definitions we estimated annual incidence density using exact person-time, and undertook descriptive analysis and age-period-cohort modelling. Demographic characteristics and management were described for incident cases in each calendar year. Sensitivity analyses explored the robustness of the findings to key assumptions. Results Between 1992 and 2013 the annual age-sex standardized incidence rate for clinical OA increased from 29.2 to 40.5/1000 person-years. After controlling for period effects, the consultation incidence of clinical OA was higher for successive cohorts born after the mid-1950s, particularly women. In contrast, with the exception of hand OA, we observed no increase in the incidence of diagnosed OA: 8.6/1000 person-years in 2004 down to 6.3 in 2013. In 2013, 16.4% of clinical OA cases had an X-ray referral. While NSAID prescriptions fell from 2004, the proportion prescribed opioid analgesia rose markedly (0.1% of diagnosed OA in 1992 to 1.9% in 2013). Conclusion Rising rates of clinical OA, continued use of plain radiography and a shift towards opioid analgesic prescription are concerning. Our findings support the search for policies to tackle this common problem that promote joint pain prevention while avoiding excessive and inappropriate health care.
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Affiliation(s)
- Dahai Yu
- Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - Kelvin P Jordan
- Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - John Bedson
- Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
| | - Martin Englund
- Clinical Epidemiology Unit, Orthopaedics, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
- Clinical Epidemiology Research & Training Unit, Boston University School of Medicine, Boston, MA, USA
| | - Fiona Blyth
- Concord Clinical School, Faculty of Medicine, University of Sydney, Sydney, New South Wales, Australia
| | - Aleksandra Turkiewicz
- Clinical Epidemiology Unit, Orthopaedics, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Daniel Prieto-Alhambra
- GREMPAL (Grup de Recerca en Epidemiologia de les Malalties Prevalents de l’Aparell Locomotor), Idiap Jordi Gol Primary Care Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
- Musculoskeletal Pharmaco- and Device Epidemiology, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, UK
| | - George Peat
- Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK
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Abstract
There is growing clinical/research interest in longitudinal patient pain trajectories. Validity of a self-report trajectories question was tested in a back pain population. Self-report trajectories were compared with derived longitudinal trajectories. Acceptable validity is reported of a new self-report measure of trajectories.
Researchers have identified trajectories of pain derived using statistical techniques on longitudinal data. These trajectories have potential to be of use clinically but the repeated data collection required is currently impractical for such situations. Our aim was to investigate the validity of a self-report (Visual Trajectories Questionnaire-Pain) for pain. Analysis included participants from 2 prospective cohorts of people seeking primary health care for back pain (n = 622). A question was developed asking people to classify their pain experience into one of a number of trajectories using visual and word descriptions. Overall 98% of participants completed the question; criterion validity was established by comparing self-report trajectories and trajectories derived using longitudinal latent class analysis, and construct validity was established by comparing responses to the questionnaire against an existing model of back pain stages. As expected variables such as pain intensity and widespreadness, other symptoms, and psychological distress showed an increasing trend of severity across trajectory categories in line with the hypothesized model. In conclusion, the self-report single-item Visual Trajectories Questionnaire-Pain is acceptable to patients and supported by evidence of face, criterion, and construct validity. Further research is needed to investigate the clinical usefulness of the question. Perspective This study provides a new questionnaire (Visual Trajectories Questionnaire-Pain) that captures the longitudinal state of a patient's pain experience. The Visual Trajectories Questionnaire-Pain has shown aspects of face, criterion, and construct validity, and has the potential to be clinically useful.
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Affiliation(s)
- Kate M Dunn
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, United Kingdom.
| | - Paul Campbell
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, United Kingdom
| | - Kelvin P Jordan
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, United Kingdom
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Abstract
OBJECTIVE To determine characteristics associated with monthly chest pain and shortness of breath (SoB) during activity in cardiovascular disease (CVD) and trajectories of these symptoms over 10 months. STUDY DESIGN AND SETTING Baseline questionnaire was sent to patients aged ≥40 years from 10 UK general practices. Responders were sent monthly questionnaires for 10 months. For patients with CVD (ischaemic heart disease and heart failure), the association of sociodemographic characteristics, pain elsewhere and anxiety and depression with monthly reports of chest pain and SoB during activity were determined using multilevel, multinomial logistic regression. Common symptom trajectories were determined using dual trajectory latent class growth analysis. RESULTS 661 patients with CVD completed at least 5 monthly questionnaires. Multiple other pain sites (relative risk ratio: 4.03; 95% CI 1.64 to 9.91) and anxiety or depression (relative risk ratio: 3.31; 95% CI 1.89 to 5.79) were associated with reporting weekly chest pain. Anxiety or depression (relative risk ratio: 4.10; 95% CI 2.72 to 6.17), obesity (relative risk ratio: 2.53; 95% CI 1.49 to 4.30), older age (80+: relative risk ratio: 2.51; 95% CI 1.19 to 5.26), increasing number of pain sites (4+: relative risk ratio: 4.64; 95% CI 2.35 to 9.18) and female gender (relative risk ratio: 1.81; 95% CI 1.20 to 2.75) were associated with reporting weekly SoB. Eight symptom trajectories were identified, with SoB symptoms more common than chest pain. CONCLUSIONS Potentially modifiable characteristics are associated with the experience of chest pain and SoB. Identified symptom trajectories may facilitate tailored care to improve outcomes in patients with CVD.
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Affiliation(s)
- Lauren A Barnett
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - James A Prior
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - Umesh T Kadam
- Keele Cardiovascular Research Group, Institute for Applied Clinical Sciences, Keele University, Staffordshire, UK
| | - Kelvin P Jordan
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, UK
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Mansell G, Jordan KP, Peat GM, Dunn KM, Lasserson D, Kuijpers T, Swinkels-Meewisse I, van der Windt DAWM. Brief pain re-assessment provided more accurate prognosis than baseline information for low-back or shoulder pain. BMC Musculoskelet Disord 2017; 18:139. [PMID: 28376761 PMCID: PMC5379746 DOI: 10.1186/s12891-017-1502-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [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: 09/14/2016] [Accepted: 03/24/2017] [Indexed: 11/11/2022] Open
Abstract
Background Research investigating prognosis in musculoskeletal pain conditions has only been moderately successful in predicting which patients are unlikely to recover. Clinical decision making could potentially be improved by combining information taken at baseline and re-consultation. Methods Data from four prospective clinical cohorts of adults presenting to UK and Dutch primary care with low-back or shoulder pain was analysed, assessing long-term disability at 6 or 12 months and including baseline and 4–6 week assessments of pain. Baseline versus short-term assessments of pain, and previously validated multivariable prediction models versus repeat assessment, were compared to assess predictive performance of long-term disability outcome. A hypothetical clinical scenario was explored which made efficient use of both baseline and repeated assessment to identify patients likely to have a poor prognosis and decide on further treatment. Results Short-term repeat assessment of pain was better than short-term change or baseline score at predicting long-term disability improvement across all cohorts. Short-term repeat assessment of pain was only slightly more predictive of long-term recovery (c-statistics 0.78, 95% CI 0.74 to 0.83 and 0.75, 95% CI 0.69 to 0.82) than a multivariable baseline prognostic model in the two cohorts presenting such a model (c-statistics 0.71, 95% CI 0.67 to 0.76 and 0.72, 95% CI 0.66 to 0.78). Combining optimal prediction at baseline using a multivariable prognostic model with short-term repeat assessment of pain in those with uncertain prognosis in a hypothetical clinical scenario resulted in reduction in the number of patients with an uncertain probability of recovery, thereby reducing the instances where patients may be inappropriately referred or reassured. Conclusions Incorporating short-term repeat assessment of pain into prognostic models could potentially optimise the clinical usefulness of prognostic information. Electronic supplementary material The online version of this article (doi:10.1186/s12891-017-1502-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- G Mansell
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK.
| | - K P Jordan
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - G M Peat
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - K M Dunn
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - D Lasserson
- Nuffield Department of Medicine, University of Oxford and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - T Kuijpers
- Department for Guideline Development, The Dutch College of General Practitioners, PO Box 3231, 3502 GE, Utrecht, The Netherlands
| | | | - D A W M van der Windt
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, UK
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Jordan KP, Timmis A, Croft P, van der Windt DA, Denaxas S, González-Izquierdo A, Hayward RA, Perel P, Hemingway H. Prognosis of undiagnosed chest pain: linked electronic health record cohort study. BMJ 2017; 357:j1194. [PMID: 28373173 PMCID: PMC5482346 DOI: 10.1136/bmj.j1194] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Objective To ascertain long term cardiovascular outcomes in patients whose chest pain remained undiagnosed six months after first presentation.Design Cohort study.Setting UK electronic health record database (CALIBER) linking primary care, secondary care, coronary registry, and death registry information.Participants 172 180 adults aged ≥18 from 223 general practices presenting with a first episode of recorded chest pain, classified from medical records as diagnosed (non-coronary condition or angina) or undiagnosed (cause unattributed) at first consultation between 2002 and 2009 and with no previous record of cardiovascular disease.Main outcome measures Fatal or non-fatal cardiovascular events over 5.5 years' follow-up. Adjustments were made for age, sex, deprivation, body mass index, smoking status, year of index presentation, and previous records of diabetes or hypertension or previous prescriptions for lipid lowering drugs.Results At the index presentation, 72.4% of patients (124 688) did not have a cause attributed for their chest pain; 118 687 (95.2%) of these did not receive any type of cardiovascular diagnosis over the next six months. Only a minority of patients in all three groups (non-coronary 2.0% (769 of 39 232); unattributed 11.7% (14 582 of 124 688); angina 31.5% (2606 of 8260)) had a recorded cardiac diagnostic investigation in the first six months after presentation. The long term incidence of cardiovascular events was higher in those whose chest pain remained unattributed after six months (5126 of 109 628; 4.7%) compared with patients with an initial diagnosis of non-coronary pain (1073 of 36 097; 3.0%) (adjusted hazard ratios for 0.5-1 year after presentation: 1.95, 95% confidence interval 1.66 to 2.31; for 1-3 years: 1.35, 1.23 to 1.48); for 3-5.5 years: 1.21, 1.08 to 1.37). Owing to the larger number of patients in the unattributed group, there were more excess myocardial infarctions in the long term in this group (214 more than expected based on the rate in the non-coronary group) than in the angina group (132 more than expected). Patients who had cardiac diagnostic investigations in the first six months had a higher long term risk of cardiovascular events, regardless of the initial chest pain label. Incidence of unattributed chest pain and angina decreased between 2002 (124 per 10 000 person years and 13 per 10 000 person years, respectively) and 2009 (107 per 10 000 person years and 5 per 10 000 person years, respectively), but the incidence of chest pain attributed to a non-coronary cause remained stable (37-40 per 10 000 person years). Risk of cardiovascular events did not change over time.Conclusions Most patients with first onset chest pain do not have a diagnosis recorded at presentation or in the subsequent six months, including those who undergo cardiac investigations. These patients have an increased risk of cardiovascular events for at least five years. Efforts to better assess and reduce the cardiovascular risk of such patients are warranted.
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Affiliation(s)
- Kelvin P Jordan
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele ST5 5BG, UK
| | - Adam Timmis
- NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, London, UK
| | - Peter Croft
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele ST5 5BG, UK
| | - Danielle A van der Windt
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele ST5 5BG, UK
| | - Spiros Denaxas
- Farr Institute of Health Informatics Research London, Institute of Health Informatics, University College London, London, UK
| | - Arturo González-Izquierdo
- Farr Institute of Health Informatics Research London, Institute of Health Informatics, University College London, London, UK
| | - Richard A Hayward
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele ST5 5BG, UK
| | - Pablo Perel
- Centre for Global Non-Communicable Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Harry Hemingway
- Farr Institute of Health Informatics Research London, Institute of Health Informatics, University College London, London, UK
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Mansfield KE, Sim J, Jordan KP. EPIDEMIOLOGY144. IDENTIFICATION OF CHRONIC WIDESPREAD PAIN IN PRIMARY CARE. Rheumatology (Oxford) 2017. [DOI: 10.1093/rheumatology/kex062.145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Whittle R, Royle KL, Jordan KP, Riley RD, Mallen CD, Peat G. Prognosis research ideally should measure time-varying predictors at their intended moment of use. Diagn Progn Res 2017; 1:1. [PMID: 31093533 PMCID: PMC6457137 DOI: 10.1186/s41512-016-0006-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 10/21/2016] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Prognosis research studies (e.g. those deriving prognostic models or examining potential predictors of outcome) often collect information on time-varying predictors after their intended moment of use, sometimes using a measurement method different to that which would be used. We aimed to illustrate how estimates of predictor-outcome associations and prognostic model performance obtained from such studies may differ to those at the earlier, intended moment of use. METHODS We analysed data from two primary care cohorts of patients consulting for non-inflammatory musculoskeletal conditions: the Prognostic Research Study (PROG-RES: n = 296, aged >50 years) and the Primary care Osteoarthritis Screening Trial (POST: n = 756, >45 years). Both cohorts had collected comparable information on a potentially important time-varying predictor (current pain intensity: 0-10 numerical rating scale), other predictors (age, gender, practice) and outcome (patient-perceived non-recovery at 6 months). Using logistic regression models, we compared the direction and magnitude of predictor-outcome associations and model performance measures under two scenarios: (i) current pain intensity ascertained by the treating general practitioner in the consultation (the intended moment of use) and (ii) current pain intensity ascertained by a questionnaire mailed several days after the consultation. RESULTS In both cohorts, the predictor-outcome association was substantially weaker for pain measured at the consultation (OR (95% CI): PROG-RES 1.06 (0.95, 1.18); POST 1.04 (0.96, 1.12)) than for pain measured in the questionnaire (PROG-RES 1.34 (1.20, 1.48); POST 1.26 (1.18, 1.34)). The c-statistic of the multivariable model was lower when pain was measured at the consultation (c-statistic (95% CI): PROG-RES 0.57 (0.51, 0.64); POST 0.66 (0.62, 0.70)) than when pain was measured in the questionnaire (PROG-RES 0.69 (0.63, 0.75); POST 0.72 (0.68, 0.76)), reflecting the lower OR for pain at the consultation. CONCLUSIONS Prognostic research studies ideally should measure time-varying predictors at their intended moment of use and using the intended measurement method. Otherwise, they may produce substantially different estimates of predictor-outcome associations and model performance. Researchers should report when, how and where predictors were measured and identify any significant departures from their intended use that may limit the applicability of findings in practice. TRIAL REGISTRATION The protocol for the PROG-RES cohort data collection and primary analysis has been published in an open-access journal (Mallen et al., BMC Musculoskelet Disord 7:84, 2006). The POST trial was registered (ISRCTN40721988; date of registration: 21 June 2011; date of enrolment of the first participant: 3 October 2011) and had a pre-specified protocol covering primary analysis. There was no published protocol for the current secondary analyses presented in this manuscript.
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Affiliation(s)
- Rebecca Whittle
- grid.9757.c0000000404156205Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, Staffordshire ST5 5BG UK
| | - Kara-Louise Royle
- grid.9757.c0000000404156205Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, Staffordshire ST5 5BG UK
| | - Kelvin P. Jordan
- grid.9757.c0000000404156205Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, Staffordshire ST5 5BG UK
| | - Richard D. Riley
- grid.9757.c0000000404156205Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, Staffordshire ST5 5BG UK
| | - Christian D. Mallen
- grid.9757.c0000000404156205Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, Staffordshire ST5 5BG UK
| | - George Peat
- grid.9757.c0000000404156205Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, Staffordshire ST5 5BG UK
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