scholarly journals Prevalence and incidence of neuromuscular conditions in the UK between 2000 and 2019: A retrospective study using primary care data

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261983
Author(s):  
Iain M. Carey ◽  
Emma Banchoff ◽  
Niranjanan Nirmalananthan ◽  
Tess Harris ◽  
Stephen DeWilde ◽  
...  

Background In the UK, large-scale electronic primary care datasets can provide up-to-date, accurate epidemiological information on rarer diseases, where specialist diagnoses from hospital discharges and clinic letters are generally well recorded and electronically searchable. Current estimates of the number of people living with neuromuscular disease (NMD) have largely been based on secondary care data sources and lacked direct denominators. Objective To estimate trends in the recording of neuromuscular disease in UK primary care between 2000–2019. Methods The Clinical Practice Research Datalink (CPRD) database was searched electronically to estimate incidence and prevalence rates (per 100,000) for a range of NMDs in each year. To compare trends over time, rates were age standardised to the most recent CPRD population (2019). Results Approximately 13 million patients were actively registered in each year. By 2019, 28,230 active patients had ever received a NMD diagnosis (223.6), which was higher among males (239.0) than females (208.3). The most common classifications were Guillain-Barre syndrome (40.1), myasthenia gravis (33.7), muscular dystrophy (29.5), Charcot-Marie-Tooth (29.5) and inflammatory myopathies (25.0). Since 2000, overall prevalence grew by 63%, with the largest increases seen at older ages (≥65-years). However, overall incidence remained constant, though myasthenia gravis incidence has risen steadily since 2008, while new cases of muscular dystrophy fell over the same period. Conclusions Lifetime recording of many NMDs on primary care records exceed current estimates of people living with these conditions; these are important data for health service and care planning. Temporal trends suggest this number is steadily increasing, and while this may partially be due to better recording, it cannot be simply explained by new cases, as incidence remained constant. The increase in prevalence among older ages suggests increases in life expectancy among those living with NMDs may have occurred.

2018 ◽  
Vol 78 (1) ◽  
pp. 91-99 ◽  
Author(s):  
Dahai Yu ◽  
Kelvin P Jordan ◽  
Kym I E Snell ◽  
Richard D Riley ◽  
John Bedson ◽  
...  

ObjectivesThe 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.MethodsWe 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.Results45 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).ConclusionsTwo 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.


Author(s):  
Christopher Wallenhorst ◽  
Carlos Martinez ◽  
Ben FREEDMAN

Background: It is uncertain whether stroke risk of asymptomatic ambulatory atrial fibrillation (AA-AF) incidentally-detected in primary care is comparable with other clinical AF presentations in primary care or hospital. Methods: The stoke risk of 22,035 patients with incident non-valvular AF from the UK primary care Clinical Practice Research Datalink with linkage to hospitalization and mortality data, was compared to 23,605 controls without AF (age and sex-matched 5:1 to 5,409 AA-AF patients). Incident AF included 5,913 with symptomatic ambulatory AF (SA-AF); 4,989 with Primary and 5,724 with non-Primary Hospital AF discharge diagnosis (PH-AF and Non-PH-AF); and 5,409 with AA-AF. Ischemic stroke adjusted subhazard ratios (aSHR) within 3 years of AA-AF were compared with SA-AF, PH-AF, Non-PH-AF and controls, accounting for mortality as competing risk and adjusted for ischemic stroke risk factors. Results: There were 1026 ischemic strokes in 49,544 person-years in patients with incident AF (crude incidence rate 2.1 ischemic strokes/100 person-years). Ischemic stroke aSHR over 3 years showed no differences between AA-AF, and SA-AF, PH-AF and nonPH-AF groups (aSHR 0.87-1.01 vs AA-AF). All AF groups showed a significantly higher aSHR compared to controls. (subhazard rate ratio 0.40 [0.34 - 0.47]. Conclusion: Ischemic stroke risk in patients with AA-AF incidentally-detected in primary care is far from benign, and not less than incident AF presenting clinically in general practice or hospital. This provides justification for identification of previously undetected AF, e.g. by opportunistic screening, and subsequent stroke prevention with thromboprophylaxis, to reduce the approximately 10% of ischemic strokes related to unrecognized AF.


Rheumatology ◽  
2020 ◽  
Vol 59 (Supplement_2) ◽  
Author(s):  
Christopher L. I Morgan ◽  
Abigail White ◽  
Mark Tomlinson ◽  
Amie Scott ◽  
Haijun Tian

Abstract Background This study reports the incidence and prevalence of axial spondyloarthritis (axSpA) in the UK, and describes the baseline characteristics and comorbidities associated with the condition. Methods This study was conducted using the Clinical Practice Research Datalink, a large routine primary care database in the UK. Approximately 60% of contributing English primary care practices are linked to Hospital Episode Statistics (HES) secondary care data. AxSpA and relevant comorbidities were identified from Read or International Statistical Classification of Diseases and Related Health Problems-10 codes in primary care or HES datasets, respectively. The date of first axSpA diagnosis defined the index date. Patients with ≥90 days between practice registration and first axSpA diagnosis were classified as incident cases. The incidence and prevalence of axSpA were calculated annually from 2003-2017 for the UK as a whole, each constituent nation and English practices linked to HES data, to maximise case ascertainment. Comorbidities occurring prior to the index date (inclusive) were reported and compared with non-axSpA patients matched for age, sex, primary care practice and concurrent practice registration. Results Overall, 20,199 axSpA patients were identified, of whom 8,387 (41.5%) were classified as incident cases. Of the incident cases, 2,600 (31.0%) were female. Mean age at first diagnosis was 45.5 years (standard deviation [SD]: 17.2), mean body mass index was 27.2 kg/m2 (SD: 5.9) and 2,481 (29.6%) patients were current smokers. In 2017, the incidence of axSpA was 8.0 per 100,000 person-years and the prevalence was 15.8 per 10,000 population, an increase from 12.7 per 10,000 population in 2003. For patients from English practices linked to HES data, the incidence was 10.8 per 100,000 person-years and the prevalence was 17.5 per 10,000 population. 8,385 (∼100.0%) axSpA patients could be matched to non-axSpA controls. At baseline, all selected comorbidities were significantly increased in axSpA cases vs controls (Table). Conclusion This study reports an increasing prevalence of axSpA over the study period and higher rates of specific comorbidities in patients with axSpA vs matched controls. Caveats related to routine database studies, including secular changes in case ascertainment and observation bias, should be considered when interpreting these results. Disclosures C.L.I. Morgan: Other; Employee of: Pharmatelligence. A. White: Shareholder/stock ownership; Novartis. Other; Employee of: Novartis. M. Tomlinson: Consultancies; Novartis. A. Scott: Consultancies; Novartis. H. Tian: Other; Employee of: Novartis.


BMJ ◽  
2018 ◽  
pp. k4666 ◽  
Author(s):  
Jack W O’Sullivan ◽  
Sarah Stevens ◽  
F D Richard Hobbs ◽  
Chris Salisbury ◽  
Paul Little ◽  
...  

Abstract Objectives To assess the temporal change in test use in UK primary care and to identify tests with the greatest increase in use. Design Retrospective cohort study. Setting UK primary care. Participants All patients registered to UK General Practices in the Clinical Practice Research Datalink, 2000/1 to 2015/16. Main outcome measures Temporal trends in test use, and crude and age and sex standardised rates of total test use and of 44 specific tests. Results 262 974 099 tests were analysed over 71 436 331 person years. Age and sex adjusted use increased by 8.5% annually (95% confidence interval 7.6% to 9.4%); from 14 869 tests per 10 000 person years in 2000/1 to 49 267 in 2015/16, a 3.3-fold increase. Patients in 2015/16 had on average five tests per year, compared with 1.5 in 2000/1. Test use also increased statistically significantly across all age groups, in both sexes, across all test types (laboratory, imaging, and miscellaneous), and 40 of the 44 tests that were studied specifically. Conclusion Total test use has increased markedly over time, in both sexes, and across all age groups, test types (laboratory, imaging, and miscellaneous) and for 40 of 44 tests specifically studied. Of the patients who underwent at least one test annually, the proportion who had more than one test increased significantly over time.


2018 ◽  
Vol 68 (676) ◽  
pp. e775-e782 ◽  
Author(s):  
Francis Nissen ◽  
Daniel R Morales ◽  
Hana Mullerova ◽  
Liam Smeeth ◽  
Ian J Douglas ◽  
...  

BackgroundAsthma and chronic obstructive pulmonary disease (COPD) share many characteristics and symptoms, and the differential diagnosis between the two diseases can be difficult in primary care. This study explored potential overlap between both diseases in a primary care environment.AimTo quantify how commonly patients with COPD have a concomitant diagnosis of asthma, and how commonly patients with asthma have a concomitant diagnosis of COPD in UK primary care. Additionally, the study aimed to determine the extent of possible misdiagnosis and missed opportunities for diagnosis.Design and settingPatients with validated asthma and patients with validated COPD in primary care were identified from the UK Clinical Practice Research Datalink (CPRD) in separate validation studies, and the diseases were confirmed by review of GP questionnaires.MethodThe prevalence of concurrent asthma and COPD in validated cases of either disease was examined based on CPRD coding, GP questionnaires, and requested additional information.ResultsIn total, 400 patients with COPD and 351 patients with asthma in primary care were identified. Of the patients with validated asthma, 15% (n = 52) had previously received a diagnostic COPD Read code, although COPD was only likely in 14.8% (95% confidence interval [CI] = 11.3 to 19.0) of patients with validated asthma. More than half (52.5%, n = 210) of patients with validated COPD had previously received a diagnostic asthma Read code. However, when considering additional evidence to support a diagnosis of asthma, concurrent asthma was only likely in 14.5% (95% CI = 11.2 to 18.3) of patients with validated COPD.ConclusionA concurrent asthma and COPD diagnosis appears to affect a relative minority of patients with COPD (14.5%) or asthma (14.8%). Asthma diagnosis may be over-recorded in people with COPD.


PLoS ONE ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. e0173272 ◽  
Author(s):  
Andrew Thompson ◽  
Darren M. Ashcroft ◽  
Lynn Owens ◽  
Tjeerd P. van Staa ◽  
Munir Pirmohamed

BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e019382 ◽  
Author(s):  
Brett Doble ◽  
Rupert Payne ◽  
Amelia Harshfield ◽  
Edward C F Wilson

ObjectivesTo investigate patterns of early repeat prescriptions and treatment switching over an 11-year period to estimate differences in the cost of medication wastage, dispensing fees and prescriber time for short (<60 days) and long (≥60 days) prescription lengths from the perspective of the National Health Service in the UK.SettingRetrospective, multiple cohort study of primary care prescriptions from the Clinical Practice Research Datalink.ParticipantsFive random samples of 50 000 patients each prescribed oral drugs for (1) glucose control in type 2 diabetes mellitus (T2DM); (2) hypertension in T2DM; (3) statins (lipid management) in T2DM; (4) secondary prevention of myocardial infarction; and (5) depression.Primary and secondary outcome measuresThe volume of medication wastage from early repeat prescriptions and three other types of treatment switches was quantified and costed. Dispensing fees and prescriber time were also determined. Total unnecessary costs (TUC; cost of medication wastage, dispensing fees and prescriber time) associated with <60 day and ≥60 day prescriptions, standardised to a 120-day period, were then compared.ResultsLonger prescription lengths were associated with more medication waste per prescription. However, when including dispensing fees and prescriber time, longer prescription lengths resulted in lower TUC. This finding was consistent across all five cohorts. Savings ranged from £8.38 to £12.06 per prescription per 120 days if a single long prescription was issued instead of multiple short prescriptions. Prescriber time costs accounted for the largest component of TUC.ConclusionsShorter prescription lengths could potentially reduce medication wastage, but they may also increase dispensing fees and/or the time burden of issuing prescriptions.


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