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Link rowid ▼ title DOI URL created subject references-count is-referenced-by-count ISSN container-title abstract author_number orcids names award_numbers funder_names funder_dois
4 ["Gene profiling reveals specific molecular pathways in the pathogenesis of atherosclerosis and cardiovascular disease in antiphospholipid syndrome, systemic lupus erythematosus and antiphospholipid syndrome with lupus"] 10.1136/annrheumdis-2013-204600 http://dx.doi.org/10.1136/annrheumdis-2013-204600 2014-03-12T01:09:55Z ["Immunology", "General Biochemistry, Genetics and Molecular Biology", "Immunology and Allergy", "Rheumatology"] 47 31 ["0003-4967", "1468-2060"] Annals of the Rheumatic Diseases <jats:sec><jats:title>Objective</jats:title><jats:p>To identify shared and differential molecular pathways involved in the pathogenesis of atherosclerosis (AT) and cardiovascular disease (CVD) in systemic lupus erythematosus (SLE), primary antiphospholipid syndrome (APS) and APS associated with SLE (APS plus SLE).</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>129 patients (42 APS, 31 APS plus SLE and 56 SLE) and 61 healthy donors were included. Microarray expression profiling was performed in monocytes. RT-PCR of selected genes and western blot were used to validate microarray data. Clinical and inflammatory parameters were also analysed.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Compared with controls, 555, 1224 and 518 genes were differentially expressed in monocytes from SLE, APS plus SLE and APS patients, respectively. Approximately 25–30% of differentially expressed genes were related to AT and CVD. Each disease displayed a specific AT/CVD/Inflammation-related gene signature. Compared with SLE, APS showed alterations in mitochondria biogenesis and function and oxidative stress. Besides the interferon signature, found in APS plus SLE and SLE patients, various genes mediating atherosclerotic/inflammatory signalling were also differentially expressed in APS plus SLE. IgG-anticardiolipin (aCL) titres independently predicted both atherosclerotic and thrombosis in APS plus SLE. Moreover, a significant correlation of IgG-aCL titres with mRNA levels of certain inflammatory molecules in monocytes was further noticed. In vitro treatment of monocytes with IgG-aCL promoted an increase in the expression of the genes most significantly changed in APS plus SLE versus healthy donors.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Gene expression profiling allows the segregation of APS, APS plus SLE and SLE, with specific signatures explaining the pro-atherosclerotic and pro-thrombotic alterations in these highly related autoimmune diseases.</jats:p>… 11 [] ["Carlos Perez-Sanchez", "Nuria Barbarroja", "Sebastiano Messineo", "Patricia Ruiz-Limon", "Antonio Rodriguez-Ariza", "Yolanda Jimenez-Gomez", "Munther A Khamashta", "Eduardo Collantes-Estevez", "M\u00aa Jose Cuadrado", "M\u00aa Angeles Aguirre", "Chary Lopez-Pedrera"] [""] [""] [""]
33 ["Adherence and persistence to direct oral anticoagulants in atrial fibrillation: a population-based study"] 10.1136/heartjnl-2019-315307 http://dx.doi.org/10.1136/heartjnl-2019-315307 2019-10-10T21:25:20Z ["Cardiology and Cardiovascular Medicine"] 30 2 ["1355-6037", "1468-201X"] Heart <jats:sec><jats:title>Background</jats:title><jats:p>Despite simpler regimens than vitamin K antagonists (VKAs) for stroke prevention in atrial fibrillation (AF), adherence (taking drugs as prescribed) and persistence (continuation of drugs) to direct oral anticoagulants are suboptimal, yet understudied in electronic health records (EHRs).</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>We investigated (1) time trends at individual and system levels, and (2) the risk factors for and associations between adherence and persistence.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>In UK primary care EHR (The Health Information Network 2011–2016), we investigated adherence and persistence at 1 year for oral anticoagulants (OACs) in adults with incident AF. Baseline characteristics were analysed by OAC and adherence/persistence status. Risk factors for non-adherence and non-persistence were assessed using Cox and logistic regression. Patterns of adherence and persistence were analysed.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Among 36 652 individuals with incident AF, cardiovascular comorbidities (median CHA<jats:sub>2</jats:sub>DS<jats:sub>2</jats:sub>VASc[Congestive heart failure, Hypertension, Age≥75 years, Diabetes mellitus, Stroke, Vascular disease, Age 65-74 years, Sex category] 3) and polypharmacy (median number of drugs 6) were common. Adherence was 55.2% (95% CI 54.6 to 55.7), 51.2% (95% CI 50.6 to 51.8), 66.5% (95% CI 63.7 to 69.2), 63.1% (95% CI 61.8 to 64.4) and 64.7% (95% CI 63.2 to 66.1) for all OACs, VKA, dabigatran, rivaroxaban and apixaban. One-year persistence was 65.9% (95% CI 65.4 to 66.5), 63.4% (95% CI 62.8 to 64.0), 61.4% (95% CI 58.3 to 64.2), 72.3% (95% CI 70.9 to 73.7) and 78.7% (95% CI 77.1 to 80.1) for all OACs, VKA, dabigatran, rivaroxaban and apixaban. Risk of non-adherence and non-persistence increased over time at individual and system levels. Increasing comorbidity was associated with reduced risk of non-adherence a… 11 ["http://orcid.org/0000-0001-8741-3411"] ["Amitava Banerjee", "Valerio Benedetto", "Philip Gichuru", "Jane Burnell", "Sotiris Antoniou", "Richard J Schilling", "William David Strain", "Ronan Ryan", "Caroline Watkins", "Tom Marshall", "Chris J Sutton"] ["(FP/2007-2013)/ERC Grant Agreement no. 339239."] ["FP7 Ideas: European Research Council"] ["10.13039/100011199"]
78 ["Construction of the secondary care administrative records frailty (SCARF) index and validation on older women with operable invasive breast cancer in England and Wales: a cohort study"] 10.1136/bmjopen-2019-035395 http://dx.doi.org/10.1136/bmjopen-2019-035395 2020-05-06T10:36:50Z ["General Medicine"] 48 0 ["2044-6055", "2044-6055"] BMJ Open <jats:sec><jats:title>Objectives</jats:title><jats:p>Studies that use national datasets to evaluate the management of older women with breast cancer are often constrained by a lack of information on patient fitness. This study constructed a frailty index for use with secondary care administrative records and evaluated its ability to improve models of treatment patterns and overall survival in women with breast cancer.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Retrospective cohort study.</jats:p></jats:sec><jats:sec><jats:title>Participants</jats:title><jats:p>Women aged ≥50 years with oestrogen receptor (ER) positive early invasive breast cancer diagnosed between 2014 and 2017 in England.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>The secondary care administrative records frailty (SCARF) index was based on the cumulative deficit model of frailty, using International Statistical Classification of Diseases, Injuries and Causes of Death, 10th revision codes to define a set of deficits. The index was applied to administrative records that were linked to national cancer registry datasets. The ability of the SCARF index to improve the performance of regression models to explain observed variation in the rate of surgery and overall survival was evaluated using Harrell’s c-statistic and decision curve analysis. External validation was performed on a dataset of similar women diagnosed in Wales.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The SCARF index captured 32 deficits that cover functional impairment, geriatric syndromes, problems with nutrition, cognition and mood, and medical comorbidities. In the English dataset (n=67 925), the prevalence of frailty in women aged 50–69, 70–79 and ≥80 years was 15%, 28% and 47%, respectively. Adding a frailty measure to regression models containing age, tumour characteristics and comorbidity improved their ability to: (1) discriminate between whether a woman was likely to have surgery and (2) predict over… 11 ["http://orcid.org/0000-0002-4761-8655"] ["Yasmin Jauhari", "Melissa Ruth Gannon", "David Dodwell", "Kieran Horgan", "Karen Clements", "Jibby Medina", "Carmen Tsang", "Thompson Robinson", "Sarah Shuk-Kay Tang", "Ruth Pettengell", "David A Cromwell"] [] ["Healthcare Quality Improvement Partnership"] [[""]]

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