The value of a health insurance database to conduct pharmacoepidemiological studies in oncology

Shaping the future of pharmacoepidemiology in France: Recommendations from the SFPT Pharmacoepidemiology Working Group

The drug authorization process is shifting towards a policy aimed at shortening time-to-market. While this policy facilitates early access to new treatments, it can also result in potentially insufficient knowledge of both efficacy and safety at the time of marketing. The latter is particularly true for long-term outcomes or in specific populations (e.g., children and the elderly). Yet, French pharmacoepidemiology is currently not designed to address these challenges, despite recognized expertise. In this context, we aim: (i) to define a strategy for strengthening pharmacoepidemiology in France; and (ii) to identify the associated human, technical, and financial requirements to ensure its success. In this paper, we present the French Pharmacoepidemiology Initiative (https://frenchpharmacoepi.org/), i.e. a network of independent academic teams to complement existing institutions. It will provide coordinated expertise and a workforce to meet national and regional needs for pharmacoepidemiological monitoring and drug-related decision-making. Leveraging the existing expertise of university hospital pharmacoepidemiology units would enable rapid operational deployment to inform the decisions and policies of national regulatory agencies.

[Performing pharmacoepidemiological studies using the French health insurance data warehouse (SNDS): How to translate guidelines into practice]

The French health insurance data warehouse named SNDS is one of the largest medico-administrative in the world allowing for powerful pharmacoepidemiological studies, based on real-life data collected prospectively. In addition to the absolute necessity of a strong pharmacological rationale, recommendations have been thought to improve the quality of pharmacoepidemiological studies. These guidelines emphasize the importance of an accurate definition of the study population, outcome and exposure, especially for studies performed on medico-administrative databases. Compliance with certain guidelines, particularly those concerning the identification of a specific population or an outcome and the definition of risk periods or exposure periods, may be difficult when performing studies on the SNDS because of its structure and the nature of the data recorded. The objective of this article is to provide advice for the conduct of pharmacoepidemiological studies according to the recommendationswhen using the SNDS, given its specificities. The performing of reliable studies from this rich but complex data warehouse requires the expertise of researchers with deep knowledge both in the SNDS and in pharmacological reasoning.

Performing pharmacoepidemiological studies using the French health insurance data warehouse (SNDS): How to translate guidelines into practice

The French health insurance data warehouse named SNDS is one of the largest medico-administrative in the world allowing for powerful pharmacoepidemiological studies, based on real-life data collected prospectively. In addition to the absolute necessity of a strong pharmacological rationale, recommendations have been thought to improve the quality of pharmacoepidemiological studies. These guidelines emphasize the importance of an accurate definition of the study population, outcome and exposure, especially for studies performed on medico-administrative databases. Compliance with certain guidelines, particularly those concerning the identification of a specific population or an outcome and the definition of risk periods or exposure periods, may be difficult when performing studies on the SNDS because of its structure and the nature of the data recorded. The objective of this article is to provide advice for the conduct of pharmacoepidemiological studies according to the recommendations when using the SNDS, given its specificities. The performing of reliable studies from this rich but complex data warehouse requires the expertise of researchers with deep knowledge both in the SNDS and in pharmacological reasoning.

Drug-drug interactions of protein kinase inhibitors in chronic myeloid leukaemia patients: A study using the French health insurance database

The introduction of protein kinase inhibitors (PKIs) for chronic myeloid leukaemia (CML) has considerably improved prognosis of the disease but has also demonstrated a great potential for drug-drug interactions. Using the French health insurance databases, we aim to investigate the frequency, identify the associated factors and describe the potential consequences of potential drug-drug interactions (pPKI-DIs) between PKIs and concurrent medications in CML. A retrospective cohort study has been performed among patients with CML identified in the French healthcare database from 2011 to 2014. A pPKI-DI is defined as the presence of drugs listed as 'interacting' on the same day as PKI dispensing (co-dispensing) or in its coverage period (co-medication) during the first year of follow-up. The list of interacting drugs is based on the summary of products characteristics (SPCs) and Thesaurus of interactions. We performed specific nested case-control comparisons to investigate the association between PKI-DI and each of the three potential outcomes (death, hospitalisation for adverse drug reactions and switch to another PKI). We included 3480 patients; 1429 (41%) had a co-dispensing pPKI-DI, and 2153 (62%) had a co-medication pPKI-DI; 50% of the pPKI-DIs were 'to be taken into account', and 17% were 'not recommended'. The PKI with the most interactions was imatinib, and additional common drug classes included statins, benzodiazepines and proton pump inhibitors. Multivariate analysis demonstrated that the use of a higher number of additional drugs, comorbidities at baseline, high number of prescribers and higher ages were potential risk factors. Nilotinib and dasatinib showed a tendency towards a higher risk of pPKI-DI compared to imatinib. Despite the fact that some PKI-DIs were potentially clinically relevant, we did not find any significant association with death, hospitalisation for adverse drug reactions and switching. These findings should increase awareness to help reduce the prevalence of PKI-drug interactions and thereby ensure better management of CML patients.

Health care resource use and costs among patients with carcinoid syndrome in France: Analysis of the National Health Insurance Database

OBJECTIVES

Carcinoid syndrome (CS) develops in approximately 20% of patients with neuroendocrine tumours (NET). This study described healthcare resource utilization and its associated costs among patients with NET and CS, using the French national health care data system.

METHODS

Patients were included if they had a hospital stay associated with the code E34.0 "CS" and at least one delivery of a somatostatin analogue (SSA) between 01/01/2012 and 31/12/2016. The end of the analysis was either 31/12/2017 or the date of death, whichever occurred first. Mean overall costs were described by item of expenditure and by periods.

RESULTS

646 patients were included: 64yo, 55% men, 64% and 15% had NET from the small-intestine or lung, respectively. Among them, 309 patients were incident and 271 died during the study period. Mean overall cost per person per month (PPPM) was €2,892: €3,273 for the first year following diagnosis, €2,574 in "middle-years" and €5,039 within the year preceding death. The two most costly expenditure items were drugs (€1,695 PPPM) and hospital stays (€870 PPPM).

CONCLUSION

The first year following diagnosis and the year preceding death are the two periods representing the highest costs for CS care in France. Successful disease management may contribute to lower costs in the intermediate period.

Assessing the treatment pattern, health care resource utilisation, and economic burden of multiple myeloma in France using the Système National des Données de Santé (SNDS) database: a retrospective cohort study

BACKGROUND

Real-world data on health care resource utilisation (HCRU) and costs for French patients with multiple myeloma (MM) are limited due to the quickly evolving MM treatment landscape. This retrospective, national-level study quantified the MM economic burden in France.

METHODS

The study included patients with newly diagnosed MM from the Système National des Données de Santé coverage claims database between 2013 and 2018 who received active treatment within 30 days of diagnosis. HCRU included hospitalisations, drugs, consultations, procedures, tests, devices, transport, and sick leave. Costs were annualized to 2019 prices. Drug treatments, reported by line of therapy (LOT), were algorithmically defined using drug regimen, duration of therapy, and gaps between treatments. Analyses were stratified by stem cell transplantation status and LOT.

RESULTS

Among 6413 eligible patients, 6229 (97.1%) received ≥ 1 identifiable LOT; most received 1 (39.8%) or 2 LOT (27.5%) during follow-up. Average annual hospitalisation was 6.3 episodes/patient/year (median duration: 11.6 days). The average annual cost/patient was €58.3 K. Key cost drivers were treatment (€28.2 K; 39.5% of total HCRU within one year of MM diagnosis) and hospitalisations (€22.2 K; 48.6% of total HCRU costs in first year). Monthly treatment-related costs increased from LOT1 (€2.447 K) and LOT5 + (€7.026 K); only 9% of patients received LOT5 + . At LOT4 + , 37 distinct regimens were identified. Hospitalisation costs were higher in patients with stem cell transplantation than total population, particularly in the first year.

CONCLUSIONS

This study showed a high economic burden of MM in France (€72.37 K/patient/year in the first year) and the diversity of regimens used in late-line treatments.

Patterns of opioid analgesic prescribing in cancer outpatients during the last year of life in France: A pharmacoepidemiological cohort study based on the French health insurance database

Cancer pain management with adequate analgesics for cancer outpatients can be particularly challenging. This representative retrospective cohort study aimed to investigate the prevalence and timing of weak and strong opioid analgesic prescriptions in cancer outpatients during their last year of life, with a focus on factors associated to potential late strong opioid initiation. Factors associated with late strong opioid initiation were investigated through multivariate logistic regression analyses stratified by place of death. A retrospective cohort of cancer outpatients, who died between 2014 and 2016, was identified from the general sample of beneficiaries. Among N=4704 cancer patients (median age 76 years, 42.7% women), 3002 (63.8%) were prescribed and dispensed ≥1 weak or strong opioid analgesic during their last year of life; of whom, 2458 (52.3%) received ≥1 weak opioid analgesic (tramadol as single-ingredient accounting for 25.9%) and 1733 (36.8%) ≥1 strong opioid analgesic dispensation (fentanyl 21.6%). Median interval between the first prescription for any strong opioid and death was 18 weeks (interquartile range: 8-38), and for weak opioids 33 weeks (interquartile range: 20-47). Among weak opioid users, 1229 (50.0%) patients had received ≥1 weak opioid analgesic dispensation during the year n-2 before death. Among strong opioid users, 986 (56.9%) patients had received ≥1 weak opioid analgesic dispensation during the year n-2 before death and 381 (21.9%) patients ≥1 strong opioid analgesic dispensation. Patients with an outpatient death were more likely to have a late strong opioid initiation compared to patients with an inpatient death. Late strong opioid initiation (<18 weeks before death) was significantly associated with a lower number of hospitalization days and prior weak opioid exposure for patients with an inpatient death and, with older age, social, prior weak opioid exposure, and a prescription initiation by general practitioner for patients with an outpatient death. Our gained knowledge of opioid prescribing patterns in cancer patients during the last year of life might help to progress opioid analgesic treatment and to improve patient outcomes.

Impact of the treatment of chronic myeloid leukaemia by tyrosine-kinase inhibitors on sick leaves refund: a nationwide cohort study

BACKGROUND

The advent of chronic myeloid leukaemia (CML) tyrosine-kinase inhibitors (TKI) has led to new paradigms including occupational rehabilitation.

OBJECTIVES

This study aimed to characterize the impact of CML treatment on sick leaves within the 2 years following diagnosis in working-age patients.

METHODS

A cohort of all 18-60-year-old newly diagnosed CML patients initiating a TKI between January 1^st 2011 and December 31^st 2014 in France was identified in the French National Healthcare database (Système National des Données de Santé [SNDS]). Patients with a sick leave identified in the 24 months after TKI initiation were compared with sex and initiation date matched controls in a nested case-control design. Factors associated with sick leaves were identified through a conditional logistic regression model, providing adjusted odds-ratio (OR) with their 95% confidence interval (CI).

RESULTS

Among 646 18-60-year-old patients, 268 were prescribed at least one sick leave in the study period, with 176 (27.2%) having their first sick leave prescribed after TKI initiation. The median number of sick days over the 2-years period was 115 per patient (interquartile range 25.5-384.5). In the nested case-control study (176 cases and 176 matched controls), sick leaves were more likely observed with second generation TKI (OR 4.11 [1.80-9.38]), whereas they were less likely observed in case if social deprivation (OR 0.07 [0.02-0.28].

CONCLUSION

More than 25% of working-age CML patients had at least one sick leave within 2 years of TKI initiation, with a higher impact of second generation TKI, and with a median duration of 115 days.

Patterns of Tyrosine Kinase Inhibitor Utilization in Newly Treated Patients With Chronic Myeloid Leukemia: An Exhaustive Population-Based Study in France

We analyzed demographic characteristics, comorbidities and patterns of treatment with tyrosine kinase inhibitors (TKIs) in a cohort of 3,633 incident cases of chronic myeloid leukemia (CML) identified across France from 1 January 2011 to 31 December 2014. Patients were identified through a specific algorithm in the French Healthcare Data System and were followed up 12 months after inclusion in the cohort. The estimated incidence rate of CML for this period in France was 1.37 per 100,000 person-years (95% Confidence Interval 1.36-1.38) and was higher in men, with a peak at age 75-79 years. At baseline, the median age of the cohort was 60 years (Inter Quartile Range 47-71), the Male/Female ratio was 1.2, and 25% presented with another comorbidity. Imatinib was the first-line TKI for 77.6% of the patients, followed by nilotinib (18.3%) and dasatinib (4.1%). Twelve months after initiation, 86% of the patients remained on the same TKI, 13% switched to another TKI and 1% received subsequently three different TKIs. During the follow-up, 23% discontinued and 52% suspended the TKI. Patients received a mean of 16.7 (Standard Deviation (SD) 9.6) medications over the first year of follow-up, and a mean of 2.7 (SD 2.3) concomitant medications on the day of first TKI prescription: 24.4% of the patients received allopurinol, 6.4% proton pump inhibitors (PPI) and 6.5% antihypertensive agents. When treatment with TKI was initiated, incident CML patients presented with comorbidities and polypharmacy, which merits attention because of the persistent use of these concomitant drugs and the potential increased risk of drug-drug interactions.

Potential inappropriate use of strong opioid analgesics in cancer outpatients during the last year of life in France and associated factors

AIMS

A better knowledge of opioid prescribing patterns would help to identify areas of potential improvement in cancer pain management. This study aimed to identify potential inappropriate use (PIU) of strong opioid analgesics in cancer outpatients in their last year of life.

METHODS

A retrospective cohort of cancer patients who died between 2011 and 2014 and were exposed as outpatient to a strong opioid analgesic in the last year of life was identified in the Echantillon Généraliste de Bénéficiaires (a 1/97th random sample of the French general population). Prescribing patterns of strong opioids were analysed and PIU was defined by at least 1 of these criteria: overlapping prescriptions; contraindicated prescriptions; lack of laxatives; potential drug interactions; prescription in patients hospitalized for opioid-related disorders. Factors associated with PIU were investigated through a multiple logistic regression model.

RESULTS

One third of the 2236 patients (median age 72 years [interquartile range: 61-82], 44.1% women) presented a PIU (insufficient laxative prescription [19.6% of patients], insufficient background treatment with transmucosal fentanyl [14.8%], overlapping prescriptions [2.6%]). The rate of PIU significantly decreased from 37.6% (2011) to 29.8% (2014). For patients with a duration of opioid use ≥3 months, factors associated with PIU were fentanyl prescription (adjusted odds ratio = 2.36; 95% confidence interval [1.86-3.00]) and previous use of strong opioid (adjusted odds ratio = 1.88; [1.50-2.36]).

CONCLUSION

In France, 1/3 of cancer patients exposed to strong opioids experienced PIU and this proportion tended to decrease over time. There is still room for progress in cancer pain management at the end of life.

Use of the French national health insurance information system for research in the field of mental health: Systematic review and perspectives

PURPOSE

This systematic review registered in PROSPERO (CRD42021225296) aimed to describe the use of the French national health insurance information system, which covers the entire French population (67 million inhabitants), for research in the field of mental health.

METHODS

Three electronic databases and a journal hand-search identified 15 265 articles from January 1, 2003 (year of creation of the database) to October 31, 2020. Studies of any design were eligible for inclusion provided that they (i) made use of at least one component of the French health insurance database and (ii) focused on a topic in near and far connection with the field of mental health in France. Database used, design and methods, study period, population, key findings, and type of use for medical research were described.

RESULTS

A total of 152 studies were included in the review analysis. There was an increase in the number of published articles over time throughout the studied period. Studies focusing on adults (n = 139) largely outnumbered those focusing on children and adolescents (n = 11). Pharmacoepidemiological studies were by far the most frequent (n = 123), followed by methodological studies (n = 23), epidemiological studies (n = 17), and health economics studies (n = 3). The most studied psychotropic drugs were antidepressants (n = 27), anxiolytics (n = 27), and opioids (n = 25) while fewer studies focused on methylphenidate (n = 6) and on mood stabilizers (n = 5). Few studies specifically focused on psychiatric disorders, mainly depression (n = 4), suicide (n = 4), and psychotic disorders (n = 3).

CONCLUSION

This systematic review highlighted a relatively poor exploitation of the Système national des données de santé database in the field of psychiatric research with regard to the great possibilities it offers, with a clear lag in certain fields such as epidemiological or health economics studies and in specific populations, in particular children and adolescents.

Information System for Selection of Conditions and Equipment for Mammalian Cell Cultivation

Over the past few decades, animal cell culture technology has advanced significantly. It is now considered a reliable, functional, and relatively well-developed technology. At present, biotherapeutic drugs are synthesized using cell culture techniques by large manufacturing enterprises that produce products for commercial use and clinical research. The reliable implementation of mammalian cell culture technology requires the optimization of a number of variables, including the culture environment and bioreactor conditions, suitable cell lines, operating costs, efficient process management and, most importantly, quality. Successful implementation also requires an appropriate process development strategy, industrial scale, and characteristics, as well as the certification of sustainable procedures that meet the requirements of current regulations. All of this has led to a trend of increasing research in the field of biotechnology and, as a result, to a great accumulation of scientific information which, however, remains fragmentary and non-systematic. The development of information and network technologies allow us to solve this problem. Information system creation allows for implementation of the modern concept of integrating various structured and unstructured data, as well as the collection of information from internal and external sources. We propose and develop an information system which contains the conditions and various parameters of cultivation processes. The associated ranking system is the result of the set of recommendations—both from technological and hardware solutions—which allow for choosing the optimal conditions for the cultivation of mammalian cells at the stage of scientific research, thereby significantly reducing the time and cost of work. The proposed information system allows for the accumulation of experience regarding existing technologies for the cultivation of mammalian cells, along with application to the development of new technologies. The main goal of the present work is to discuss information systems, the organizational support of scientific research in the field of mammalian cell cultivation, and to provide a detailed description of the developed system and its main modules, including the conceptual and logical scheme of the database.

Assessment of the Accuracy of Using ICD-10 Codes to Identify Systemic Sclerosis

Importance

With the increased use of data from electronic medical records for research, it is important to validate in-patient electronic health records/hospital electronic health records for specific diseases identification using International Classification of Diseases, Tenth Revision (ICD-10) codes.

Objective

To assess the accuracy of using ICD-10 codes to identify systemic sclerosis (SSc) in the French hospital database.

Design Setting and Participants

Electronic health record database analysis. The setting of the study's in-patient database was the Toulouse University Hospital, a tertiary referral center (2880 beds) that serves approximately 2.9 million inhabitants. Participants were patients with ICD-10 discharge diagnosis codes of SSc seen at Toulouse University Hospital between January 1, 2010, and December 31, 2017.

Main Outcomes and Measures

The main outcome was the positive predictive value (PPV) of discharge diagnosis codes for identifying SSc. The PPVs were calculated by determining the ratio of the confirmed cases found by medical record review to the total number of cases identified by ICD-10 code.

Results

Of the 2766 hospital stays, 216 patients were identified by an SSc discharge diagnosis code. Two hundred were confirmed as SSc after medical record review. The overall PPV was 93% (95% CI, 88-95%). The PPV for limited cutaneous SSc was 95% (95% CI, 85-98%).

Conclusions and Relevance

Our results suggest that using ICD-10 codes alone to capture SSc is reliable in The French hospital database.

Diabetes Remission and Relapse After Bariatric Surgery: a Nationwide Population-Based Study

PURPOSE

The long-term impact of bariatric surgery on the remission of type 2 diabetes (T2DM) remains to be clarified through large nationally representative cohorts. The objectives were to determine the incidence of T2DM remission and relapse after bariatric surgery, to determine the factors associated with remission and to establish a profile for patients at risk for relapse.

MATERIALS AND METHODS

We conducted a population-based cohort study using data from the French national health insurance database (Systeme national des données de santé [SNDS]). We had access to exhaustive regional data between 2013 and 2017 and to a national representative sample of the French population (EGB) from 2008 to 2018. Patients were included if they were adults and diabetics with incidental bariatric surgery.

RESULTS

This study shows that 50% of patients are in remission from diabetes after bariatric surgery within a median of 2 to 4 months. Diabetes relapse was observed in 13-20% within 10 years. The factors favouring remission already described were noted (non-insulin-dependent diabetes) and original factors were also identified, in particular the advantage of bypass surgery over sleeve gastrectomy, with more remissions and fewer relapses.

CONCLUSION

This study highlights a 50% prevalence of remission and a low prevalence of relapse. There are non-modifiable risk factors for remission and relapse (characteristics of diabetes, age, lipid-lowering therapy) and modifiable factors (type of surgery). Identifying these factors is essential for optimal management of patients. Additional data are essential to confirm the results of our analysis of the factors associated with relapse.

The challenges of pharmacoepidemiology of orphan drugs in rare diseases

Large electronic health records database available at a national level offer great opportunity for research in rare diseases and orphan drugs. Methods and data used in pharmacoepidemiology present a great potential for epidemiology, drug utilization studies, drug safety, drug effectiveness and pharmacoeconomics. This review presents the different sources of data in Europe, with a special focus on the French situation, with the recent implementation of SNDS (système national des données de santé [French national health data wharehouse]). Some examples are given. Development of rigorous and innovative methods must be encouraged in the future.