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Introduction: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with a diverse clinical presentation that involves multiple organ systems and may lead to organ damage and increased risk of mortality. SLE is associated with a high burden of disease that can include loss of productivity and employment and reduced health-related quality of life. The current standard of care for SLE is primarily based on immunosuppression and glucocorticoids and is associated with risk of toxicities and poor tolerability. Anifrolumab, a human monoclonal antibody to type I interferon receptor subunit 1, was recently approved as a new treatment for patients with moderate-to-severe SLE., Methods and Analysis: Here, we report the study design of the ongoing, multinational Anifrolumab Study for Treatment Effectiveness in the Real World (ASTER) that includes 3-years of follow-up beginning with the first infusion of anifrolumab and 1 year of retrospective baseline data. ASTER aims to enrol 500 adult patients receiving anifrolumab for SLE in Europe and Canada. The key study objective is to describe the real-world effectiveness of anifrolumab in routine clinical practice, including clinician-reported disease activity and patient-reported outcomes collected via mobile application. This mobile application also includes a medication diary, where patients report their prescription and non-prescription medication use for SLE on a weekly basis; these data will lend insights on treatment patterns for the study population., Ethics and Dissemination: The design of the ASTER study was informed through consultations with patients with SLE who provided important insights to help maximise patient engagement, retention and the collection of key, patient-relevant endpoints. ASTER enrolment began in February 2023 and the study is expected to finish in 2029., Trial Registration Number: NCT05637112., Competing Interests: Competing interests: CE, CN-N, HS-F, SaC, LC, MW, CS, StC and AS are or were employees of AstraZeneca at the time of this study and may own stock. MM has received honoraria for consultancies/speaker from AbbVie, AstraZeneca, GSK, Idorsia, Janssen, Lilly, Otsuka and UCB., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Purpose: In 2014, the ASCO developed CancerLinQ (CLQ), a health technology platform for oncology. The CLQ Discovery (CLQD) database was created to make data available for research and this paper provides a summary of this database., Methods: This study described the clinical and demographic characteristics of the 12 most common cancers in the CLQD database. We included patients with a new malignant tumor diagnosis between January 1, 2013, and December 31, 2018, of the following cancers: breast, lung and bronchus, prostate, colon and rectum, melanoma of the skin, bladder, non-Hodgkin lymphoma, kidney and renal pelvis, uterus, leukemia, pancreas, and thyroid. Patients with an in-situ diagnosis were excluded. Summary statistics and Kaplan-Meier survival estimates were calculated for each tumor., Results: From 2013 to 2018, 491,360 patients were diagnosed with the study tumors. Breast cancer (139,506) was the most common, followed by lung and bronchus (70,959), prostate (63,303), and colon and rectum (53,504). The median age at diagnosis (years) was 61, 68, 68, and 64 in breast, lung and bronchus, prostate, and colon and rectum cohorts, respectively. Compared to the SEER 5-year overall survival estimates for several tumor types were higher in the CLQD database, possibly because of incomplete mortality capture in electronic health records., Conclusion: This paper presents the first description of the CLQD database since its inception. CLQ will continue to evolve over time, and the breadth and depth of this data asset will continue to grow. ASCO and CLQ's long-term goal is to improve the quality of patient care and create a sustainable database for oncology researchers. These results demonstrate that CLQ built a scalable database that can be used for oncology research., Competing Interests: Danielle M. PotterEmployment: AstraZenecaStock and Other Ownership Interests: AstraZenecaResearch Funding: AstraZenecaTravel, Accommodations, Expenses: AstraZenecaOther Relationship: Tempus, Concerto HealthAI Aliki TaylorEmployment: AstraZeneca, TakedaStock and Other Ownership Interests: AstraZenecaTravel, Accommodations, Expenses: AstraZeneca Cathy EmmasEmployment: AstraZenecaStock and Other Ownership Interests: AstraZeneca Shaum KabadiEmployment: AstraZeneca, SanofiStock and Other Ownership Interests: AstraZeneca Miao JiangEmployment: AstraZeneca, Vanda PharmaceuticalsStock and Other Ownership Interests: AstraZeneca, Vanda PharmaceuticalsNo other potential conflicts of interest were reported.

Background: Chronic kidney disease (CKD) is a major global health burden, and is associated with increased adverse outcomes, poor quality of life, and substantial health care costs. While there is an increasing need to build patient-centered pathways for improving CKD management in clinical care, data in this field are scarce., Objective: The aim of this study was to understand patient-reported experiences, symptoms, outcomes, and treatment journeys among patients with CKD through a retrospective and qualitative approach based on data available through PatientsLikeMe (PLM), an online community where patients can connect and share experiences., Methods: Adult members (aged ≥18 years) with self-reported CKD within 30 days of enrollment, who were not on dialysis, and registered between 2011 and 2018 in the PLM community were eligible for the retrospective study. Patient demographics and disease characteristics/symptoms were collected from this retrospective data set. Qualitative data were collected prospectively through semistructured phone interviews in a subset of patients, and questions were oriented to better understand patients' experiences with CKD and its management., Results: The retrospective data set included 1848 eligible patients with CKD, and median age was 56 years. The majority of patients were female (1217/1841, 66.11%) and most were US residents (1450/1661, 87.30%). Of the patients who reported comorbidities (n=1374), the most common were type 2 diabetes (783/1374, 56.99%), hypertension (664/1374, 48.33%), hypercholesterolemia (439/1374, 31.95%), and diabetic neuropathy (376/1374, 27.37%). The most commonly reported severe or moderate symptoms in patients reporting these symptoms were fatigue (347/484, 71.7%) and pain (278/476, 58.4%). In the qualitative study, 18 eligible patients (13 females) with a median age of 60 years and who were mainly US residents were interviewed. Three key concepts were identified by patients to be important to optimal care and management: listening to patient needs, coordinating health care across providers, and managing clinical care., Conclusions: This study provides a unique source of real-world information on the patient experience of CKD and its management by utilizing the PLM network. The results reveal the challenges these patients face living with an array of symptoms, and report key concepts identified by patients that can be used to further improve clinical care and management and inform future CKD studies., (©Glen James, Elisabeth Nyman, Marcy Fitz-Randolph, Anna Niklasson, Katarina Hedman, Jonatan Hedberg, Eric T Wittbrodt, Jennie Medin, Carol Moreno Quinn, Alaster M Allum, Cathy Emmas. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.07.2020.)

Introduction: Online health communities and research networks such as PatientsLikeMe (PLM) capture patient perspectives of diseases, including systemic lupus erythematosus (SLE). We performed a retrospective observational study of data provided by patients in the PLM SLE community to characterize demographics, clinical characteristics, patient experience, and symptom impact., Methods: Adults who registered with PLM in 2011-2017 and reported SLE diagnosis and treatment with one or more SLE-related drug (antimalarials, immunosuppressives, corticosteroids, calcineurin inhibitors, or biologics) were included in the analysis. Information reported within 30 days from PLM registration was used to assess patient eligibility; demographics and clinical characteristics; and primary outcome measures of SLE treatments, symptoms, primary lupus manifestations, and comorbidities., Results: Among 21,101 PLM members included in this analysis, median ages at registration, onset of SLE symptoms, and SLE diagnosis were 46 years (interquartile range [IQR] 38-53, n = 21,101), 30 years (IQR 21-39; n = 6489), and 36 years (IQR 27-44; n = 6936), respectively. Most patients were female (96.8%, n = 20,370). Country of residence was reported by 19,502 patients (92.4%), of whom 18,491 (94.8%) were US residents. Race was recorded by 17,994 patients (85.3%), of whom 67.8% were white and 22.4% were black/African American. Patients reported a mean of 2.2 SLE-related medications, including antimalarials (83.8%), corticosteroids (78.8%), immunosuppressives (32.3%), and biologics (9.4%). Fatigue, pain, and joint pain were rated as moderate or severe by at least 80% of patients who reported these symptoms. Reported primary lupus manifestations and comorbidities included fibromyalgia (7.9%), discoid lupus (6.8%), lupus nephritis (6.3%), rheumatoid arthritis (4.8%), subacute cutaneous lupus (4.7%), central nervous system lupus (3.9%), Sjögren's syndrome (3.9%), and lupus pneumonitis (3.1%)., Conclusions: Age, sex, and race of patients in the PLM SLE community are broadly consistent with characteristics of the general SLE population in the United States. The PLM SLE population may provide valuable data on self-reported patient experience. Plain language summary available for this article.

Background: Launched in 2006 for patients with amyotrophic lateral sclerosis, PatientsLikeMe is an online community offering patient-reported outcomes, symptom tracking, and social features. Every member of the site can see all the data reported by every other member, view aggregated reports, identify "patients like them," and learn about treatment options in order to live better with their condition. In previous studies, members reported benefits such as improved condition knowledge, increased medication adherence, and better management of side effects. However, the site evolved in 2011 from condition-specific "vertical" communities consisting only of people with the same disease to a "generalized platform," in which every patient could connect with every other patient regardless of condition and with generic, rather than condition-specific, data tools. Some, but not all, communities received further custom tracking tools., Objective: We aimed to understand (1) whether members of PatientsLikeMe using the generalized platform still reported similar benefits and (2) assess factors associated with benefits, such as community customization, site use, and patient activation., Methods: A cross-sectional retrospective custom survey was fielded to 377,625 members between 2016 and 2017 including the Patient Activation Measure (PAM). A benefit index was developed for comparability across conditions., Results: The invitation was viewed by 26,048 members of whom 11,915 did not respond, 5091 opted out, 1591 provided partial data, and 17 were screened out. Complete responses were received from 7434 participants. Users perceived greatest benefit in understanding how their condition may affect them (4530/6770, 66.91% participants, excluding "does not apply" answers), understanding what might help them live better with their condition (4247/6750, 62.92%), which treatments were available (4143/6898, 60.06%), understanding treatment side effects (4182/6902, 60.59%), and important factors in making treatment decisions (3919/6813, 57.52%). The benefit index was 29% higher for the "most activated" patients (PAM level 4 vs PAM level 1; relative risk [RR]=1.29, P<.001), 21% higher for conditions with some community customization versus none (RR=1.21, P<.001), and 11% higher in those using the site most often versus least (RR=1.11, P<.001)., Conclusions: Members of the generalized platform reported a range of benefits related to improved knowledge and understanding of their condition and treatment management. Condition-specific customization may improve their experience still further. Future studies will explore longitudinal changes to patient activation., (©Paul Wicks, Eileen Mack Thorley, Kristina Simacek, Christopher Curran, Cathy Emmas. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 07.05.2018.)

Stakeholders in healthcare are increasingly turning to real world evidence (RWE) to inform their decisions, alongside evidence from randomized controlled trials. RWE is generated by analysing data gathered from routine clinical practice, and can be used across the product lifecycle, providing insights into areas including disease epidemiology, treatment effectiveness and safety, and health economic value and impact. Recently, the US Food and Drug Administration and the European Medicines Agency have stated their ambition for greater use of RWE to support applications for new indications, and are now consulting with their stakeholders to formalize standards and expected methods for generating RWE. Pharmaceutical companies are responding to the increasing demands for RWE by developing standards and processes for each stage of the evidence generation pathway. Some conventions are already in place for assuring quality, whereas other processes are specific to the research question and data sources available. As evidence generation increasingly becomes a core role of medical affairs divisions in large pharmaceutical companies, standards of rigour will continue to evolve and improve. Senior pharmaceutical leaders can drive this change by making RWE a core element of their corporate strategy, providing top-level direction on how their respective companies should approach RWE for maximum quality. Here, we describe the current and future areas of RWE application within the pharmaceutical industry, necessary access to data to generate RWE, and the challenges in communicating RWE. Supporting and building on viewpoints from industry and publicly funded research, our perspective is that at each stage of RWE generation, quality will be critical to the impact that RWE has on healthcare decision-makers; not only where RWE is an established and evolving tool, but also in new areas that have the potential to disrupt and to improve drug development pathways., Competing Interests: Competing interests: Sajan Khosla, Robert White, Jesús Medina and Sandra Leonard are employees of AstraZeneca, in the Medical Evidence and Observational Research team. Mario Ouwens is an employee of AstraZeneca in the Advanced Analytics team. Cathy Emmas is an employee of AstraZeneca in the Patient Centricity team. Tim Koder and Gary Male are employees of Oxford PharmaGenesis, whose work on this manuscript has been funded by AstraZeneca.

Introduction: The present study aimed to describe characteristics of patients with type 2 diabetes (T2D) in UK primary care initiated on dapagliflozin, post-dapagliflozin changes in glycated hemoglobin (HbA 1c ), body weight and blood pressure, and reasons for adding dapagliflozin to insulin., Methods: Retrospective study of patients with T2D in the Clinical Practice Research Datalink with first prescription for dapagliflozin. Patients were included in the study if they: (1) had a first prescription for dapagliflozin between November 2012 and September 2014; (2) had a Read code for T2D; (3) were registered with a practice for at least 6 months before starting dapagliflozin; and (4) remained registered for at least 3 months after initiation. A questionnaire ascertained reason(s) for adding dapagliflozin to insulin., Results: Dapagliflozin was most often used as triple therapy (27.7%), dual therapy with metformin (25.1%) or added to insulin (19.2%). Median therapy duration was 329 days [95% confidence interval (CI) 302-361]. Poor glycemic control was the reason for dapagliflozin initiation for 93.1% of insulin-treated patients. Avoiding increases in weight/body mass index and insulin resistance were the commonest reasons for selecting dapagliflozin versus intensifying insulin. HbA 1c declined by mean of 9.7 mmol/mol (95% CI 8.5-10.9) (0.89%) 14-90 days after starting dapagliflozin, 10.2 mmol/mol (95% CI 8.9-11.5) (0.93%) after 91-180 days and 12.6 mmol/mol (95% CI 11.0-14.3) (1.16%) beyond 180 days. Weight declined by mean of 2.6 kg (95% CI 2.3-2.9) after 14-90 days, 4.3 kg (95% CI 3.8-4.7) after 91-180 days and 4.6 kg (95% CI 4.0-5.2) beyond 180 days. In patients with measurements between 14 and 90 days after starting dapagliflozin, systolic and diastolic blood pressure decreased by means of 4.5 (95% CI -5.8 to -3.2) and 2.0 (95% CI -2.9 to -1.2) mmHg, respectively from baseline. Similar reductions in systolic and diastolic blood pressure were observed after 91-180 days and when follow-up extended beyond 180 days. Results were consistent across subgroups., Conclusion: HbA 1c , body weight and blood pressure were reduced after initiation of dapagliflozin in patients with T2D in UK primary care and the changes were consistent with randomized clinical trials., Funding: AstraZeneca.

Purpose: The co-administration of cytochrome P450 3A4 (CYP3A4) inhibitors with simvastatin or atorvastatin (CYP3A4-metabolised statins) is associated with increased statin exposure and can increase the risk of adverse drug reactions. The aim of this study was to measure the concomitant exposure of patients to CYP3A4-metabolised statins and CYP3A4 inhibitors in the UK primary care population., Methods: The co-administration of statins and CYP3A4 inhibitors during 2008 was examined in the General Practice Research Database, a large nationally representative UK primary care database. All known inhibitors were included with labelled inhibitors identified using the Medicines and Healthcare products Regulatory Agency Drug Safety Update and UK summary of product characteristics for statins. Exposure was examined in patients overall, patients 65 years and older and those prescribed higher doses of statins., Results: There were 364,574 patients included in the analyses. Ninety-three percent of the patients were prescribed CYP3A4-metabolised statins, most whom received simvastatin (72%) and atorvastatin (24%). Approximately one third (30%) of the patients prescribed a CYP3A4-metabolised statin had also been prescribed a concomitant CYP3A4 inhibitor during the study period, including 11% prescribed a concomitant labelled inhibitor, with an annualised median days of concomitant use of 173 days, predominantly involving macrolide antibiotics and calcium channel blockers co-prescriptions. Rates were higher in the subgroup aged 65 and over and in those on high dose statins., Conclusions: The co-prescription of CYP3A4-metabolised statins and CYP3A4 inhibitors is common in UK primary care. This co-prescription suggests the limited appreciation of potential interactions and Medicines and Healthcare products Regulatory Agency safety advice, with the potential to increase likelihood for side effects amongst patients. Strategies to reduce drug interactions with potential adverse effects should be targeted at prescribers and pharmacists., (Copyright © 2012 John Wiley & Sons, Ltd.)

Introduction: Bipolar disorder is a common illness characterized by recurrent episodes of pathological disturbances of mood. The aim of this study was to estimate the annual cost associated with bipolar disorder to the UK healthcare system (National Health Service)., Methods: A retrospective observational study was conducted. Primary care resource use was estimated using the IMS Disease Analyzer, a nationally representative sample of general practitioner (GP) practices. Two sources of data from the NHS Information Centre were used to assess resource use in secondary care and in outpatient and community mental health. The number of bed days and day attendances for patients hospitalized was obtained from the Hospital Episode Statistics (HES). This was supplemented with Mental Health Minimum Dataset (MHMDS) to quantify outpatient and community mental health face-to-face contacts. Resource use was examined between 01 April 2007 and 31 March 2008., Results: The annual NHS cost of bipolar disorder was estimated to be £ 342 million at 2009/2010 prices. Hospitalizations accounted for 60%, outpatient and community mental health 26.7%, and medication in primary care 7.4% of the overall direct costs of care., Limitations: This study may be confounded by the absence of a control group. This study was limited to an assessment of direct healthcare costs only, not the wider societal cost of bipolar disorder., Conclusions: The direct medical cost of managing bipolar disorder in the UK healthcare system is considerable. Therapeutic strategies that optimize community-based management, prevention of recurrence and hospitalization could reduce the economic burden of this illness., (Copyright © 2011 Elsevier B.V. All rights reserved.)

Objective: To determine the proportion of patients with non-valvular atrial fibrillation (NVAF) treated with warfarin that achieved a 6-month period within the target INR range (stability). To then evaluate any associations between stability and outcome and to determine whether stability can be predicted by clinical factors at an early stage in warfarin treatment., Methods: This study was a record linkage study in 1513 patients with NVAF treated with warfarin for a minimum of 6-months, carried out in a large UK population. The main outcome measures were stability (defined as six months within the target INR range [2.0-3.0]), thromboembolic and bleeding event rates and mortality. Secondary outcome measures were the predictive value of baseline characteristics and other treatment variables., Results: Stability was achieved in 52% of the study group. Standardised mean survival was significantly higher in the group who achieved stability (Delta = 16.91 months, p < 0.001) with a hazard ratio of 4.36 (p < 0.001). The stable group had a lower rate of both thromboembolic events (0.8% vs. 2.3% per patient year) and bleeds recorded on inpatient diagnoses (0.4% vs. 1.2% per patient year). Failure to achieve stable control was associated with age (Odds Ratio [OR] 1.011 (95% Confidence Interval [CI] 1.001-1.021)) and morbidity at baseline (OR 1.015; 95% CI 1.007-1.022). An increase in mean time between visits (OR 0.939; 95% CI 0.926-0.952) and the percentage time in range (OR 0.889; 95% CI 0.879-0.900) was associated with a decrease in the chance of instability. Greater variability in INR was also associated with a failure to achieve stability (OR 1.518; 95% CI 1.427-1.615). Receiver Operator Characteristic (ROC) analysis using data from the first three months of treatment demonstrated good discrimination of stability using age and morbidity at baseline and percentage time in range and frequency of visits during the first three months of treatment (area under curve [AUC] 0.780; standard error [SE] 0.012; 95% CI 0.757-0.803)., Conclusions: Many patients never achieved a period of 6-months stability and were at increased risk of thromboembolic events and bleeds. Age, morbidity at baseline and variability of INR control in the first three months could be used to predict instability using warfarin. This study infers that patients should be treated more intensively in the early stages of warfarinisation in order to improve outcome.

We have investigated the effects of ligand and DNA binding on the structure of the oestrogen receptor by performing limited proteolysis and analysing DNA binding activity by gel shift analysis. The effects of oestradiol, 4-hydroxytamoxifen and ICI 164,384 have been examined and we have found that despite differences in the DNA binding activity or relative mobility of the receptor-DNA complex we were unable to detect differences in the cleavage pattern produced by trypsin, chymotrypsin, Staphylococcus aureus V8, papain or elastase. Inhibition of DNA binding by ICI 164,384 was lost in receptor fragments that lacked the hormone binding domain. In contrast to the full-length receptor, proteolytic fragments produced by chymotrypsin differed in their ability to bind to an oestrogen response element (ERE) vs a thyroid response element (TRE). Evidence is presented that this difference can be accounted for by the inability of fragments lacking the hormone binding domain to dimerise on a TRE.