Evaluation of the use of Swedish integrated electronic health records and register health care data as support clinical trials in severe asthma: the PACEHR study

Case-control study developing Scottish Epilepsy Deaths Study Score to predict epilepsy-related death

This study aimed to develop a risk prediction model for epilepsy-related death in adults. In this age- and sex-matched case-control study, we compared adults (aged ≥16 years) who had epilepsy-related death between 2009 and 2016 to living adults with epilepsy in Scotland. Cases were identified from validated administrative national datasets linked to mortality records. ICD-10 cause-of-death coding was used to define epilepsy-related death. Controls were recruited from a research database and epilepsy clinics. Clinical data from medical records were abstracted and used to undertake univariable and multivariable conditional logistic regression to develop a risk prediction model consisting of four variables chosen a priori. A weighted sum of the factors present was taken to create a risk index-the Scottish Epilepsy Deaths Study Score. Odds ratios were estimated with 95% confidence intervals (CIs). Here, 224 deceased cases (mean age 48 years, 114 male) and 224 matched living controls were compared. In univariable analysis, predictors of epilepsy-related death were recent epilepsy-related accident and emergency attendance (odds ratio 5.1, 95% CI 3.2-8.3), living in deprived areas (odds ratio 2.5, 95% CI 1.6-4.0), developmental epilepsy (odds ratio 3.1, 95% CI 1.7-5.7), raised Charlson Comorbidity Index score (odds ratio 2.5, 95% CI 1.2-5.2), alcohol abuse (odds ratio 4.4, 95% CI 2.2-9.2), absent recent neurology review (odds ratio 3.8, 95% CI 2.4-6.1) and generalized epilepsy (odds ratio 1.9, 95% CI 1.2-3.0). Scottish Epilepsy Deaths Study Score model variables were derived from the first four listed before, with Charlson Comorbidity Index ≥2 given 1 point, living in the two most deprived areas given 2 points, having an inherited or congenital aetiology or risk factor for developing epilepsy given 2 points and recent epilepsy-related accident and emergency attendance given 3 points. Compared to having a Scottish Epilepsy Deaths Study Score of 0, those with a Scottish Epilepsy Deaths Study Score of 1 remained low risk, with odds ratio 1.6 (95% CI 0.5-4.8). Those with a Scottish Epilepsy Deaths Study Score of 2-3 had moderate risk, with odds ratio 2.8 (95% CI 1.3-6.2). Those with a Scottish Epilepsy Deaths Study Score of 4-5 and 6-8 were high risk, with odds ratio 14.4 (95% CI 5.9-35.2) and 24.0 (95% CI 8.1-71.2), respectively. The Scottish Epilepsy Deaths Study Score may be a helpful tool for identifying adults at high risk of epilepsy-related death and requires external validation.

A Framework for Methodological Choice and Evidence Assessment for Studies Using External Comparators from Real-World Data

Several approaches have been proposed recently to accelerate the pathway from drug discovery to patient access. These include novel designs such as using controls external to the clinical trial where standard randomised controls are not feasible. In parallel, there has been rapid growth in the application of routinely collected healthcare ‘real-world’ data for post-market safety and effectiveness studies. Thus, using real-world data to establish an external comparator arm in clinical trials is a natural next step. Regulatory authorities have begun to endorse the use of external comparators in certain circumstances, with some positive outcomes for new drug approvals. Given the potential to introduce bias associated with observational studies, there is a need for recommendations on how external comparators should be best used. In this article, we propose an evaluation framework for real-world data external comparator studies that enables full assessment of available evidence and related bias. We define the principle of exchangeability and discuss the applicability of criteria described by Pocock for consideration of the exchangeability of the external and trial populations. We explore how trial designs using real-world data external comparators fit within the evidence hierarchy and propose a four-step process for good conduct of external comparator studies. This process is intended to maximise the quality of evidence based on careful study design and the combination of covariate balancing, bias analysis and combining outcomes.

Epidemiology of Pulmonary Fibrosis: A Cohort Study Using Healthcare Data in Sweden

Introduction

Data on the epidemiology of idiopathic pulmonary fibrosis (IPF) in Sweden are lacking. This study estimates the incidence and prevalence of IPF in Sweden, and describes the demographic and clinical characteristics and the overall survival of patients with IPF.

Methods

Two cohorts were studied: a national cohort of 17,247 patients with pulmonary fibrosis (ICD-10 code J84.1 with no competing diagnosis) from the Swedish National Patient Register (cohort 1 [C1]); and an electronic medical record-based regional subset of C1 comprising 1755 patients having pulmonary fibrosis and a radiology procedure (C2).

Results

The incidence of pulmonary fibrosis in C1 ranged from 10.4 to 15.4 cases per 100,000 population per year between 2001 and 2015. The prevalence increased from 15.4 to 68.0 cases per 100,000 population per year. Patients ≥ 70 years and men had a higher incidence and prevalence of pulmonary fibrosis. Common comorbidities included respiratory infections and cardiovascular disorders. Approximately one-third of patients in each cohort were hospitalised with pulmonary fibrosis within a year of diagnosis. The median survival time from disease diagnosis was 2.6 years in C1 and 5.2 years in C2. Older patients had a higher risk of hospitalisation and mortality. Women had a better prognosis than men.

Conclusion

This study underscores the importance of pulmonary fibrosis as a cause of respiratory-related morbidity and mortality in Sweden. The stable incidence and increasing prevalence over time suggests longer survival. The higher morbidity and mortality in older patients highlights the importance of early case detection, diagnosis and management for better prognosis.

Funding

F. Hoffmann-La Roche, Ltd./Genentech, Inc.

Electronic supplementary material

The online version of this article (10.1007/s41030-019-0087-9) contains supplementary material, which is available to authorized users.

Using a Federated Network of Real-World Data to Optimize Clinical Trials Operations

Clinical trials, whether industry, cooperative group sponsored, or investigator initiated, have an unacceptable rate of failure as a result of the inability to recruit sufficient numbers of patients. Even those trials that are completed often require time-consuming protocol amendments to achieve accrual goals. These inefficiencies in clinical trial research result in increasing costs and prolong the time needed to bring improved treatments to cancer clinical practice. TriNetX has developed a clinical research collaboration platform-deployed by a federated network of health care organizations (HCOs), pharmaceutical firms (Pharma), and contract research organizations (CROs)-to enable data-driven clinical research study design to reduce accrual failure and protocol amendment. Currently, the network extends to 55 HCOs and covers 84 million patients, mostly within the United States, but with a growing international presence. (Many of the HCOs in United States are Clinical and Translational Science Awardees and/or National Cancer Institute-designated cancer centers.) The TriNetX business model includes Pharma and the CROs as sponsors whose subscriptions financially support the network, including the software and hardware costs of the HCOs. Furthermore, as each HCO network member has their data harmonized with the TriNetX model upon joining, data sharing among them does not require any technical processes to establish connectivity. To date, on the basis of the data on the network, HCOs have been presented approximately 757 studies by Pharma and CROs, and four data-sharing subnetworks have been formed among member HCOs.

Health care resource utilization and cost for asthma patients regularly treated with oral corticosteroids - a Swedish observational cohort study (PACEHR)

BACKGROUND

Patients with severe uncontrolled asthma may receive oral corticosteroid (OCS) treatment regularly. The present study investigated the health care resource utilization and cost in regularly OCS treated Swedish asthma patients.

METHODS

Primary care medical records data were linked to data from Swedish national health registries. Patients ≥18 years with a drug claim for obstructive pulmonary diseases during 2007-2009 (index date) and a prior asthma diagnosis, were classified by their OCS claims during the 12-months' post index period: regular OCS equals ≥5 mg per day; periodic OCS less than 5 mg per day; or non-OCS users. Cost of asthma- and OCS-morbidity-related health care resource utilization were calculated.

RESULTS

A total of 15,437 asthma patients (mean age 47.8, female 62.6%), whereof 223 (1.44%) were regular OCS users, 3054 (19.7%) were periodic, and 12,160 (78.7%) were non-OCS users. Regular OCS users were older and more often females, had lower lung function, greater eosinophil count and more co-morbidities at baseline compared with the other groups. Age-adjusted annual total health care cost was three-times greater in the regular OCS group (€5615) compared with the non-OCS users (€1980) and twice as high as in the periodic OCS group (€2948). The major cost driver in the non-OCS and periodic OCS groups were primary care consultations, whereas inpatient costs were the major cost driver in the regular OCS group. The asthma related costs represented 10-12% of the total cost in all three groups.

CONCLUSION

In this real-life asthma study in Sweden, the total yearly cost of health care resource utilization for a regular OCS user was three times greater than for a patient with no OCS use, indicating substantial economic and health care burden for asthma patients on regular oral steroid treatment.

Prevalence, characteristics and management of frequently exacerbating asthma patients: an observational study in Sweden (PACEHR)

The aim of the study was to investigate the prevalence, management and characteristics of asthma patients with frequent exacerbations.Data from asthma patients (aged ≥18 years) identified in primary care medical records were linked to Swedish national health registries. Exacerbations were defined as hospitalisations, emergency visits and/or collection of oral steroids. Frequent exacerbations were defined as two or more exacerbations per year during the 3-year observation period.Of 18 724 asthma patients, 81.49% had no exacerbations and 6.3% had frequent exacerbations in the year prior to the index date. Frequent exacerbations were observed yearly for 1.8% of the patients. Frequent exacerbators were older, more often females, and had increased eosinophil and neutrophil counts, lower lung function, and more comorbidities than patients without exacerbations. There was a slight increase in asthma medication claims and a slight decrease in physician visits compared with baseline, both in the group with and the group without frequent exacerbations.Patients with frequent exacerbations were characterised by greater age, female predominance, high eosinophil and neutrophil counts, and high prevalence of comorbidities. This study indicates that the Swedish healthcare system lacks efficiency to adjust treatment and management for this patient group. With new treatment options targeting severe asthma available, identification of these patients should be in focus to ensure reduction of exacerbations.