scholarly journals Comparative anti-fracture effectiveness of different oral anti-osteoporosis therapies based on “real-world” data: a meta-analysis of propensity-matched cohort findings from the UK Clinical Practice Research Database and the Catalan SIDIAP Database

2018 ◽  
Vol Volume 10 ◽  
pp. 1417-1431 ◽  
Author(s):  
Sara Khalid ◽  
Sara Calderón-Larrañaga ◽  
Samuel Hawley ◽  
Sanni Ali ◽  
Andrew Judge ◽  
...  
2009 ◽  
Vol 101 (03) ◽  
pp. 527-534 ◽  
Author(s):  
Stephan Rietbrock ◽  
Jonathan M. Plumb ◽  
Arlene M. Gallagher ◽  
Tjeerd P. van Staa

SummaryThe objective of this study was to evaluate the rate of stroke associated with aspirin and warfarin in routine clinical practice. The study included patients aged 40+ with chronic atrial fibrillation (cAF) registered in the UK General Practice Research Database. The outcome was the rate of stroke during current, past and no use of aspirin and warfarin. The study included 51,807 cAF patients. There was no difference in the rate of stroke between current and past use of aspirin (relative rate [RR]=1.04 [95% confidence interval (CI) 0.94 – 1.15]), while the rate of stroke was reduced during current warfarin use compared to past use (RR=0.62 [95% CI 0.54 – 0.71]). For warfarin, a pattern of lower rates of stroke during current exposure and higher rates with past exposure was seen only in patients treated for at least 6–12 months. For aspirin, no changes in the rates of stroke were observed with discontinuation of aspirin. The effectiveness of warfarin was dependent on the level of anticoagulation, with optimal risk reduction occurring within the recommended international normalised ratio (INR) range of 2.0 to 3.0. The proportion of patients achieving a stable INR within the target therapeutic range was at its lowest during the first three months of warfarin treatment. In conclusion, the results of this study support the effectiveness of warfarin treatment to reduce the rate of stroke in cAF patients in the general clinical practice setting, however the risk reduction is lower than that reported in clinical trials.


2015 ◽  
Vol 53 (1) ◽  
pp. 18-24
Author(s):  
C. Hopkins ◽  
P. Andrews ◽  
C.E. Holy

Background: Patients with chronic rhinosinusitis (CRS) refractory to medical management may elect endoscopic sinus surgery (ESS). Recent data showed that clinical outcomes of patients treated earlier outperformed those of patients treated later in the disease continuum. In this study, CRS-related healthcare utilisation of patients treated early versus late was analysed using the UK-based Clinical Practice Research Database. Methods: Two cohorts ("Early Cohort": ESS within 12 months of first CRS diagnosis, versus "Late Cohort": ≥ 5 years from diagnosis to ESS) were matched for age, gender, asthma, polyposis. Healthcare needs related to CRS were analysed post-operatively for 5 years. Results: Patients in the Late cohort used significantly more CRS-related care than patients in the Early cohort visits and 0.54 prescriptions per patient per year. A sub-analysis of patients with and without asthma indicated that patients in the Late cohort without asthma had healthcare needs equivalent to patients in the Early cohort with asthma. Conclusion: Delayed surgical intervention for CRS is associated with greater post-operative healthcare needs than ESS within 12 months of first CRS diagnosis.


BMJ Open ◽  
2018 ◽  
Vol 8 (5) ◽  
pp. e020371
Author(s):  
Uwe Koppe ◽  
Dorothea Nitsch ◽  
Kathryn E Mansfield ◽  
Rohini Mathur ◽  
Krishnan Bhaskaran ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P McEwan ◽  
L Hoskin ◽  
K Badora ◽  
D Sugrue ◽  
G James ◽  
...  

Abstract Background Patients with chronic kidney disease (CKD), heart failure (HF), resistant hypertension (RHTN) and diabetes are at an increased risk of hyperkalaemia (HK) which can be potentially life-threatening, as a result of cardiac arrhythmias, cardiac arrest leading to sudden death. In these patients, renin-angiotensin-aldosterone system inhibitors (RAASi), are used to manage several cardiovascular and renal conditions, and are associated with an increased risk of HK. Assessing the burden of HK in real-world clinical practice may concentrate relevant care on those patients most in need, potentially improving patient outcomes and efficiency of the healthcare system. Purpose To assess the burden of HK in a real-world population of UK patients with at least one of: RHTN, Type I or II diabetes, CKD stage 3+, dialysis, HF, or in receipt of a prescription for RAASi. Methods Primary and secondary care data for this retrospective study were obtained from the UK Clinical Practice Research Datalink (CPRD) and linked Hospital Episode Statistics (HES). Eligible patients were identified using READ codes defining the relevant diagnosis, receipt of indication-specific medication, or, in the case of CKD, an estimated glomerular filtration rate (eGFR) ≤60 ml/min/1.73m2 within the study period (01 January 2008 to 30 June 2018) or in the five-year lookback period (2003–2007). The index date was defined as 01 January 2008 or first diagnosis of an eligible condition or RAASi prescription, whichever occurred latest. HK was defined as K+ ≥5.0 mmol/L; thresholds of ≥5.5 mmol/L and ≥6.0 mmol/L were explored as sensitivity analyses. Incidence rates of HK were calculated with 95% confidence intervals (CI). Results The total eligible population across all cohorts was 931,460 patients. RHTN was the most prevalent comorbidity (n=317,135; 34.0%) and dialysis the least prevalent (n=4,415; 0.5%). The majority of the eligible population were prescribed RAASi during follow-up (n=754,523; 81.0%). At a K+ threshold of ≥5.0 mmol/L, the dialysis cohort had the highest rate of HK (501.0 events per 1,000 patient-years), followed by HF (490.9), CKD (410.9), diabetes (355.0), RHTN (261.4) and the RAASi cohort (211.2) (Figure 1). This pattern was still observed at alternative threshold definitions of HK. Conclusion This large real-world study of UK patients demonstrates the burden of hyperkalaemia in high-risk patient populations from the UK. There is a need for effective prevention and treatment of HK, particularly in patients with CKD, dialysis or HF where increased incidence rates are observed which in turn will improve patient outcomes and healthcare resource usage. Figure 1. Rates of HK by condition Funding Acknowledgement Type of funding source: Private company. Main funding source(s): AstraZeneca


BMJ Open ◽  
2016 ◽  
Vol 6 (1) ◽  
pp. e009147 ◽  
Author(s):  
Lamiae Grimaldi-Bensouda ◽  
Olaf Klungel ◽  
Xavier Kurz ◽  
Mark C H de Groot ◽  
Ana S Maciel Afonso ◽  
...  

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.


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