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1.
BMC Med Res Methodol ; 21(1): 250, 2021 11 14.
Article in English | MEDLINE | ID: mdl-34773974

ABSTRACT

BACKGROUND: Novartis and the University of Oxford's Big Data Institute (BDI) have established a research alliance with the aim to improve health care and drug development by making it more efficient and targeted. Using a combination of the latest statistical machine learning technology with an innovative IT platform developed to manage large volumes of anonymised data from numerous data sources and types we plan to identify novel patterns with clinical relevance which cannot be detected by humans alone to identify phenotypes and early predictors of patient disease activity and progression. METHOD: The collaboration focuses on highly complex autoimmune diseases and develops a computational framework to assemble a research-ready dataset across numerous modalities. For the Multiple Sclerosis (MS) project, the collaboration has anonymised and integrated phase II to phase IV clinical and imaging trial data from ≈35,000 patients across all clinical phenotypes and collected in more than 2200 centres worldwide. For the "IL-17" project, the collaboration has anonymised and integrated clinical and imaging data from over 30 phase II and III Cosentyx clinical trials including more than 15,000 patients, suffering from four autoimmune disorders (Psoriasis, Axial Spondyloarthritis, Psoriatic arthritis (PsA) and Rheumatoid arthritis (RA)). RESULTS: A fundamental component of successful data analysis and the collaborative development of novel machine learning methods on these rich data sets has been the construction of a research informatics framework that can capture the data at regular intervals where images could be anonymised and integrated with the de-identified clinical data, quality controlled and compiled into a research-ready relational database which would then be available to multi-disciplinary analysts. The collaborative development from a group of software developers, data wranglers, statisticians, clinicians, and domain scientists across both organisations has been key. This framework is innovative, as it facilitates collaborative data management and makes a complicated clinical trial data set from a pharmaceutical company available to academic researchers who become associated with the project. CONCLUSIONS: An informatics framework has been developed to capture clinical trial data into a pipeline of anonymisation, quality control, data exploration, and subsequent integration into a database. Establishing this framework has been integral to the development of analytical tools.


Subject(s)
Data Science , Information Dissemination , Databases, Factual , Drug Development , Humans , Research Design
2.
Arthritis Rheumatol ; 68(8): 1914-21, 2016 08.
Article in English | MEDLINE | ID: mdl-27014997

ABSTRACT

OBJECTIVE: To assess whether secukinumab treatment in patients with active psoriatic arthritis (PsA) is associated with sustained inhibition of radiographic progression. METHODS: In this phase III, double-blind, placebo-controlled study, 606 patients with PsA were randomized to receive intravenous (IV) secukinumab at a dose of 10 mg/kg (weeks 0, 2, 4) followed by subcutaneous secukinumab at a dose of 150 mg or 75 mg (the IV→150 mg and IV→75 mg groups, respectively) or placebo. Patients were stratified according to prior anti-tumor necrosis factor (anti-TNF) exposure (71% were anti-TNF naive). At week 16, placebo-treated patients who had at least a 20% reduction in the tender and swollen joint counts (responders) continued to receive placebo until week 24; nonresponders were re-randomized to receive secukinumab at a dose of 150 mg or 75 mg. The modified total Sharp/van der Heijde score (SHS) was determined at baseline, week 16 or 24, and week 52. RESULTS: In the overall population, radiographic progression was inhibited through 52 weeks; efficacy was demonstrated for both erosion and joint space narrowing scores and in patients who switched from placebo to secukinumab at week 24. Subgroup analyses showed that secukinumab reduced radiographic progression at week 24, regardless of previous anti-TNF treatment. Among anti-TNF-naive patients, the mean changes from baseline to week 24 in the modified total SHS were 0.05 in the pooled secukinumab group and 0.57 in the placebo group; among patients with an inadequate response or intolerance to anti-TNF treatment, the mean changes were 0.16 and 0.58, respectively. Anti-TNF-naive patients showed negligible progression through week 52. Inhibition of structural damage was observed through week 52 irrespective of concomitant methotrexate use. A high proportion of patients receiving secukinumab showed no progression (change in SHS of ≤ 0.5) from baseline to week 24 (82.3% of the IV→150 mg group and 92.3% of the IV→75 mg group) and from week 24 to week 52 (85.7% of the IV→150 mg group and 85.8% of the IV→75 mg group). CONCLUSION: Secukinumab inhibited radiographic progression over 52 weeks of treatment in patients with active PsA.


Subject(s)
Antibodies, Monoclonal/therapeutic use , Arthritis, Psoriatic/drug therapy , Antibodies, Monoclonal, Humanized , Arthritis, Psoriatic/diagnostic imaging , Arthritis, Psoriatic/pathology , Disease Progression , Double-Blind Method , Humans , Tumor Necrosis Factor-alpha
3.
Drug Healthc Patient Saf ; 4: 127-39, 2012.
Article in English | MEDLINE | ID: mdl-23055780

ABSTRACT

BACKGROUND: Constipation is a common side effect of antimuscarinic treatment for overactive bladder (OAB). This review evaluates the incidence and impact of constipation on the lives of patients with OAB being treated with darifenacin. METHODS: Constipation data from published Phase III and Phase IIIb/IV darifenacin studies were reviewed and analyzed. Over 4000 patients with OAB (aged 18-89 years; ≥80% female) enrolled in nine studies (three Phase III [data from these fixed-dose studies were pooled and provide the primary focus for this review], three Phase IIIb, and three Phase IV). The impact of constipation was assessed by discontinuations, use of concomitant laxatives, patient-reported perception of treatment, and a bowel habit questionnaire. RESULTS: In the pooled Phase III trials, 14.8% (50/337) of patients on darifenacin 7.5 mg/day and 21.3% (71/334) on 15 mg/day experienced constipation compared with 12.6% (28/223) and 6.2% (24/388) with tolterodine and placebo, respectively. In addition, a few patients discontinued treatment due to constipation (0.6% [2/337], 1.2% [4/334], 1.8% [4/223], and 0.3% [1/388] in the darifenacin 7.5 mg/day or 15 mg/day, tolterodine, and placebo groups, respectively), or required concomitant laxatives (3.3% [11/337], 6.6% [22/334], 7.2% [16/223], and 1.5% [6/388] in the darifenacin 7.5 mg/day or 15 mg/day, tolterodine, and placebo groups, respectively). Patient-reported perception of treatment quality was observed to be similar between patients who experienced constipation and those who did not. During the long-term extension study, a bowel habit questionnaire showed only small numerical changes over time in frequency of bowel movements, straining to empty bowels, or number of days with hard stools. CONCLUSION: While constipation associated with darifenacin was reported in ≤21% of the patient population, it only led to concomitant laxative use in approximately one-third of these patients and a low incidence of treatment discontinuation. These data suggest that constipation did not impact patient perception of treatment quality.

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