M7 National patterns in the treatment of children with asthma: a descriptive study using data from the clinical practice research datalink

Author(s):  
A Gayle ◽  
M Pang ◽  
A Tebboth ◽  
F Guelfucci ◽  
R Argoubi ◽  
...  
2021 ◽  
Author(s):  
Georgina Nakafero ◽  
Matthew J Grainge ◽  
Ana M Valdes ◽  
Nick Townsend ◽  
Christian Mallen ◽  
...  

Abstract Objectives To examine the association between β-blocker prescription and knee or hip total joint replacement (TJR) in a UK primary-care population with incident knee or hip osteoarthritis (OA).Methods Cohort study using data from the Clinical Practice Research Datalink. Participants aged ≥40 years with incident knee or hip OA, exposed to β-blockers after OA diagnosis (new-user design), were matched to one control for age, sex, OA location and propensity score (PS) for β-blocker prescription. Cox-proportional hazard ratios (HRs) and 95% confidence intervals (CI) were calculated. The analyses were adjusted for factors that influence health-seeking behaviour, progression of OA, and stratified according to β-blocker classification. Data analysis was conducted using Stata.Results Data for 6,970 PS-matched β-blocker exposed and unexposed participants were included. Any β-blocker prescription was not associated with knee or hip TJR (aHR 1.11; 95% CI 0.98 – 1.25). However, prescription of lipophilic non-selective β-blockers having membrane stabilising effects associated with reduced risk of knee or hip TJR (aHR 0.69; 95% CI 0.52 – 0.93). Of these, there was a protective effect for propranolol (aHR 0.71; 95% CI 0.53 – 0.95), the commonest prescribed drug in this class. The number needed to treat (95% CI) with propranolol for two years in order to prevent one TJR was 32 (23-52).Conclusion Propranolol, a non-selective β-blocker, reduces the risk of knee and hip TJR. This is consistent with its analgesic effects in other conditions and a randomised controlled trial is required to further evaluate its analgesic potential and safety in OA.


2022 ◽  
Vol 7 ◽  
pp. 12
Author(s):  
Ciarrah-Jane Barry ◽  
Christy Burden ◽  
Neil Davies ◽  
Venexia Walker

Large numbers of women take prescription and over-the-counter medications during pregnancy. However, there is very little definitive evidence about the potential effects of these drugs on the mothers and offspring. We will investigate the risks and benefits of continuing prescriptive drug use for chronic pre-existing maternal conditions such as diabetes, hypertension and thyroid related conditions throughout pregnancy. If left untreated, these conditions are established risk factors for adverse neonatal and maternal outcomes. However, some treatments for these conditions are associated with adverse neonatal outcomes. Our primary aims are twofold. Firstly, we aim to estimate the beneficial effect on the mother of continuing treatment during pregnancy. Second, we aim to determine whether there is an associated detrimental impact on the neonate of continuation of maternal treatment during pregnancy. To establish this evidence, we will investigate the relationship between maternal drug prescriptions and adverse and beneficial offspring outcomes to provide evidence to guide clinical decisions. We will conduct a hypothesis testing observational intergenerational cohort study using data from the UK Clinical Practice Research Datalink (CPRD). We will apply four statistical methods: multivariable adjusted regression, propensity score regression, instrumental variables analysis and negative control analysis. These methods should account for potential confounding when estimating the association between the drug exposure and maternal or neonatal outcome. In this protocol we describe the aims, motivation, study design, cohort and statistical analyses of our study to aid reproducibility and transparency within research.


2015 ◽  
Vol 136 (2) ◽  
pp. 250-260 ◽  
Author(s):  
Ana Filipa Macedo ◽  
James Bell ◽  
Ciaran McCarron ◽  
Rachel Conroy ◽  
James Richardson ◽  
...  

2020 ◽  
Vol 70 (700) ◽  
pp. e765-e771
Author(s):  
Alexander Pate ◽  
Richard Emsley ◽  
Tjeerd van Staa

BackgroundIn 2014, the National Institute for Health and Care Excellence (NICE) changed the recommended threshold for initiating statins from a 10-year risk of cardiovascular disease (CVD) of 20% to 10% (Clinical Guideline 181), making 4.5 million extra people eligible for treatment.AimTo evaluate the impact of this guideline change on statin prescribing behaviour.Design and settingA descriptive study using data from Clinical Practice Research Datalink (CPRD), a primary care database in England.MethodPeople aged 25–84 years being initiated on statins for the primary prevention of CVD were identified. CVD risk predictions were calculated for every person using data in their medical record (calculated risks), and were extracted directly from their medical record if a QRISK score was recorded (coded risks). The 10-year CVD risks of people initiated on statins in each calendar year were compared.ResultsThe average ‘calculated risk’ of all people being initiated on statins was 20.65% in the year before the guideline change, and 20.27% after. When considering only the ‘coded risks’, the average risk was 21.85% before the guideline change, and 18.65% after. The proportion of people initiating statins that had a coded risk score in their medical record increased significantly from 2010–2017.ConclusionCurrently available evidence, which only considers people with coded risk scores in their medical record, indicates the guideline change had a large impact on statin prescribing. However, that analysis likely suffers from selection bias. This new evidence indicates only a modest impact of the guideline change. Further qualitative research about the lack of response to the guideline change is needed.


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