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A retrospective cohort study on the provision and outcomes of pharmacological therapy after revascularisation for peripheral arterial occlusive disease: a study protocol
  1. Frederik Peters1,
  2. Thea Kreutzburg1,
  3. Jenny Kuchenbecker1,
  4. Sebastian Debus1,
  5. Ursula Marschall2,
  6. Helmut L'Hoest2 and
  7. Christian-Alexander Behrendt1
  1. 1Department of Vascular Medicine, University Medical Center Hamburg-Eppendorf, GermanVasc, Hamburg, Germany
  2. 2BARMER, Wuppertal, Germany
  1. Correspondence to Dr Christian-Alexander Behrendt; behrendt{at}hamburg.de

Abstract

Background Symptomatic peripheral arterial occlusive disease (PAOD) involves highly complex and costly revascularisations for preventing adverse limb events and impaired survival. Contrary to recommendations from valid guidelines, a large group of patients do not receive adequate pharmacological therapy after such interventions. Based on health insurance claims data, our study aims to assess (1) the extent of provision of pharmacological therapy after revascularisation and (2) related long-term outcomes for all patients and subgroups, that is, gender and disease severity.

Methods A retrospective observational population-based cohort study will be based on data from the second largest statutory health insurance fund in Germany (BARMER) covering about 13% of the insured population (~10 million patients). Study entry is the index revascularisation for symptomatic PAOD. Study variables will be analysed and compared among subgroups using parametric and non-parametric tests, generalised linear regression analysis and survival models.

Discussion This study will provide a comprehensive insight in the extent and time trends of adequate provision of pharmacological therapy and long-term outcomes for patients with symptomatic PAOD. This may help to identify those patients benefiting most from improved pharmacological therapy for increasing the success of revascularisations in general.

Trial registration NCT03909022.

  • health services research
  • outcomes research
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Background

Peripheral arterial occlusive disease (PAOD) is a prevalent circulatory condition caused by reduced blood flow in the lower extremities due to atherosclerosis. It affects over 200 million patients worldwide representing a significant burden to healthcare systems with increasing prevalence.1 2 Patients with PAOD are at risk of worsening limb symptoms resulting in major adverse limb events (MALE), major adverse cardiovascular events (MACE) and a generally impaired survival.3 For preventing such outcomes, a timely detection and adequate treatment of the disease involving all pillars of invasive and non-invasive vascular care are crucial.

Pharmacological therapy as main pillar of secondary prevention after revascularisation represents an integral element of evidence-based revascularisation.4 The rapid progress in the field of endovascular therapy led to an extension of its use in more complex lesions and recently, drug eluting devices have been established in routine care. When compared with the strict regulation of drugs, high risk medical devices in vascular surgery such as drug-eluted or atherectomy devices could be introduced to the market following lower requirements. As a consequence, the lack of randomised and controlled trials led to an increasing utilisation of real-world data to illuminate the benefit, harms and costs of innovative techniques.5 Accordingly, the IDEAL recommendations advise the evaluation of the clinical effectiveness of widely adopted interventions by explicitly using routine data focusing on rates and long-term outcomes.5 6 Yet, for any valid comparison of different revascularisation strategies with respect to amputation risk, re-admission and survival, the assessment of post-discharge pharmacological therapy is crucial.

Valid guidelines highlight the importance of pharmacological control of cardiovascular risk factors, in particular of diabetes, hypertension and dyslipidaemia. Additionally, they also recommend the prescription of lipid-lowering and antiplatelet drugs independently from pathological laboratory testing or comorbidities in all patients with PAOD without contraindications (table 1).4 7 8

Table 1

Recent guidelines of the AHA/ACC 2016 and ESC 2017 on the treatment of PAOD

Table 2

Main variables and coding

Depending on the performed type of revascularisation, the patient’s risk profile and comorbidities, anticoagulation therapy is also indicated in a narrower patient population. Thereby, uncertainty exists regarding the optimal regime of antithrombotic therapy.3 This concerns the indication and optimal duration, particularly the long-term use, of dual-antiplatelet therapy and the combination of single-antiplatelet therapy and anticoagulation (eg, low-dose rivaroxaban and low-dose aspirin).9 10 Guidelines emphasise the importance of evidence on comparative effectiveness of pharmacological therapy along the full spectrum of clinical reality, most importantly distinguished by disease severity (intermittent claudication (IC) vs chronic limb threatening ischaemia (CLTI)), obtained in-hospital procedure (endovascular, open surgery, hybrid cases, minor or major amputation) and concomitant comorbidities (eg, atrial fibrillation, coronary artery disease, prior stroke or myocardial infarction). Besides antithrombotic therapy, gaps exist with respect to time trends in prescription rates of lipid-lowering drugs and the optimal dose of such agents in the CLTI subpopulation.4

Real-world evidence on the extent of adequate provision of pharmacological therapy and related outcomes is scarce. Prior studies either focused on few medical agents only or they included just a small and selective set of patients with PAOD. Other studies did not distinguish important subgroups, that is, disease severity and gender, or were based on meanwhile outdated data.11–14 In general, prior studies reported room for improvement in antiplatelet prescription and low statin prescription rates particularly in women.14–16

This study aims to determine the provision of pharmacological therapy after revascularisation of PAOD in a real-world setting from a longitudinal and patient-based perspective. First, we focus on extent and time trends in provision of pharmacological therapy. Second, we assess the long-term outcomes MACE, MALE and all-cause mortality. For this purpose, German health insurance claims data will be used. All analyses will be performed for all patients and for subgroups, that is, gender and disease severity.

Methods

Study design

A retrospective cohort study of patients with an index revascularisation for symptomatic PAOD of symptomatic PAOD. The trial was retrospectively registered on clinicaltrials.gov (NCT03909022; Date of registration: April 09, 2019).

Data source

Analyses will be carried out via remote access to pseudonymised health insurance claims files of BARMER health insurance containing information on about 9.2 million insured persons representing more than 13% of the insured German population (with about 10 000 incident index diagnoses of PAOD annually).1 The data extract that we represents the full sample of the BARMER database (calendar years 2005–2018) providing information on all billable services of primary and secondary healthcare in Germany including diagnoses, pharmacological therapy and in-hospital procedures. Diagnoses were coded according to German version of the International Classification of Diseases in its 10th revision and drugs prescriptions according to the German version of the Anatomical Therapeutic Chemical Classification of drugs (table 2). Procedures were identified according to the German Operations and procedure code adapted to the International Classification of Procedures in Medicine.

The German healthcare system

One of the main priorities of the most recent global vascular guidelines comprises the description of treatment and outcomes of PAOD around the world.4 A valid interpretation of the results of our study in this context requires knowledge on the characteristics of the German healthcare system. Generally, it is classified as supply-oriented and choice-oriented public system with a high level of financial and human resources predominantly funded by public financing.17 In comparison to other countries, access to resources is not strongly regulated and free choice among providers exist. Provision and remuneration of medical services is subject to fundamentally different rules for outpatient and inpatient care. To date, the prescription of pharmacological therapy is restricted to general practitioners (GPs) and specialists in the ambulatory sector and not linked to a specific indication or primary diagnosis within a fee-for-service scheme. By contrast, inpatient care is based on a diagnosis-related-groups payment (DRG), introduced in 2004, with fixed hospital budgets where procedures are mandatory linked to a primary and a set of secondary diagnoses also validated externally. Citizens are universally covered by healthcare with about 90% statutory health insurance and about 10% private health insurance. Concerns of overprovision are raised due to a particularly high number of outpatient contacts and number of inpatient stays, especially high admission rate for patients with chronic conditions, and highest per capita expenditures on retail pharmaceuticals.18

Population

We will include patients aged ≥40 years with first in-hospital admission for revascularisation of symptomatic PAOD (Fontaine stage II: IC, Fontaine stage III: ischaemic rest pain and Fontaine stage IV: ulceration or gangrene), denoted as index stay (table 2). For finding the index stay and to identify the comorbidities of the patients, up to 5 years of lookback period will be used. After admission from index stay, patients will be followed up until the respective outcome or the end of the observation period. Information on comorbidities were collected from current and past hospital visits, while drug prescriptions will be measured before and after index stay.

Study variables

Patient characteristics

Patient characteristics will be age at index stay, inpatient diagnosis of PAOD (Fontaine stage II, III and IV), prior outpatient diagnosis and number of drug prescriptions (polypharmacy), Elixhauser comorbidities and van Walraven score,19 dyslipidaemia, history of coronary artery disease, myocardial infarction and stroke or transient ischaemic attack.

Characteristics of in-hospital revascularisation

Variables related to the specific in-hospital revascularisation will be calendar year of index stay, performed invasive procedure (peripheral vascular intervention; PVI, open surgical revascularisation, hybrid procedures using PVI and open-surgical revascularisations, minor and major amputation), length of stay.

Provision of pharmacological therapy

For determining pharmacological therapy, we will assess the prescription prevalence after index stay grouped in lipid-lowering agents, antithrombotics and antihypertensives (table 2).

Long-term health-related outcomes

Measured health-related outcomes of interest are all-cause mortality, MACE and MALE after index stay.

Analysis

All analyses will be performed with software SAS V.9.04 (SAS Institute, NC, USA). We will adhere to the reporting of studies conducted using observational routinely collected health data statement and the standardised reporting of secondary data analyses statement for presenting our central findings.20 Patient characteristics will be presented in percentage for categorical variables and mean (+SD) or median (+IQR) for continuous variables. Group differences by sex, age, Fontaine stage, invasive procedure will be tested using χ² test, t-test and Wilcoxon–Mann–Whitney test, relative risk differences, standardised differences and tests for trends over time. For adjusting prescription prevalence, prediction the risk for receiving guideline-specific pharmacological therapy and predicting health-related outcomes generalised linear models will be utilised. As sensitivity analyses, interaction effects will be included in the main analyses and models will be fitted separately to different subgroups. To investigate health-related long-term outcomes and survival, Kaplan–Meier function with log-rank tests and Cox proportional hazard model will be used. We will select covariates to be include in the multivariate models based on clinical relevance and variable selection by forward and backward selection and regularisation approaches.21 We will perform complete case deletion for the few patients with missing or implausible information. To adjust for observed and unobserved confounding, propensity score matching and instrumental variables will be applied in models focusing on outcomes.

Discussion

The particular merit of this study is to provide a comprehensive picture of pharmacological therapy after revascularisation in symptomatic PAOD patients and related outcomes, using a large and diverse cohort. Our analysis will be based on a full sample of health claims data, not suffering the selection bias, recall bias, dropout and panel attrition usually found in other study designs. The findings will complement existing evidence on optimal management of evidence-based revascularisation assisting physicians and patients the choice for particular treatment modalities.

Yet, diagnoses on PAOD, related comorbidities and treatments extracted from claims data were collected for the purpose of reimbursement and not for research. Within the German DRG system, upcoding from cheaper to more expensive diagnoses might be incentivised in the inpatient setting potentially overstating the actual disease severity of the patients to a certain degree. In the outpatient setting, diagnoses are not necessarily linked to treatment because first they were reported once in each quarter only and second, less possibilities for diagnostics exist in general practices. Consequently, some diseases are likely to remain undiagnosed, under-reported or coded less specific. This is undoubtedly relevant for the case of chronic PAOD often associated with none or atypical symptoms during onset and early progression of the disease. However, the longitudinal perspective of our study following each patient for more than a decade, allows to combine information from a longer sequence of multiple visits in the outpatient and inpatient setting providing a much more comprehensive view on individuals’ disease progression than a single cross-section alone. Despite the potential bias of upcoding, diagnoses from inpatient care are of high value as they are mandatory, directly linked to a specific procedure at a specific date and cross-checked by a special software and about 20% reviewed by special physicians.22

Patients receive prescriptions for medication either in GP’s or specialists’ practice and are required to have their prescription filled at registered pharmacies. Data on filled prescriptions are transferred from the pharmacy to the health insurance and approximately 10% of all prescriptions were never filled.23 Also, pharmacological therapy dispensed during in-hospital stays and over-the-counter medication is not visible in claims data. Hence, the prescription prevalence as will be reported in our study may slightly underestimate the true prevalence. Additionally, the date of prescription, which will be used in our study, and date of dispense could differ so that the true exposure of pharmacological therapy might be overstated. However, validation studies reported that the date of prescription is more reliable than the date of dispense offsetting the small bias due to the delay in time.23 Additionally, validation studies on diagnoses and prescriptions in routine data demonstrated sufficient validity of the data for solid analyses.23

A sound construction of patient biographies using data from a single health insurance fund requires to exclude those that entered during the lookback period or left during follow-up aside from the event death. Yet, the potential bias related to this selection problem is likely to be small as the vast majority of people in Germany enters a specific insurance at younger ages and remains there until death. Particularly at older ages, only few people change their insurance company. A related selection problem associated with the use of a single health insurance fund comprises the characteristics of its members compared with the German population: BARMER members are slightly older, the proportion of insured males much lower, better educated and health-related variables slightly below average.24 However, compared with other large insurance funds, the data are still more representative for the German population and in any case more representative than RCTs or regional registry or survey studies. As this study focuses only on care practices in Germany, its results need to be understood within the properties of the German healthcare system and are not directly transferable to other countries. For this purpose multi-country analyses should be performed.

While providing rich information on diagnoses, treatment and outcomes, routine data do not contain valid information on more specific clinical parameters and health-related lifestyles as smoking, alcohol consumption, nutrition and obesity and only limited information on socioeconomic status. Thus, a certain amount of variance between relevant subgroups, for example, gender, disease severity and age, will be unexplained pointing at potentials for further studies. Yet, recently developed approaches such as the use of instrumental variables in survival models potentially allow to also adjust for such unobserved confounding, which will be assessed in this study.25

Index stay is defined by a first revascularisation for symptomatic PAOD diagnosis using a lookback period of 5 years. Thus, some of the index stays will be artefacts if the patients were diagnosed more than 5 years prior to this date. However, especially chronic and severe diseases were less affected by this issues as demonstrated in validation studies.24 To test the validity of this assumption in more detail, we will use shorter and longer lookback times for a subset of patients as sensitivity analysis. Furthermore, we will take outpatient diagnoses into account to assess whether a validated diagnosis could be stated based on the Q1, Q2 or Q3 criterion (Q=subsequent quarters where the disease was diagnosed).

Finally, we believe that this study will provide valuable insights in PAOD in a real-world setting, generating hypothesis for further research for improving treatment of the disease.

Acknowledgments

We are grateful for the scientific advice and technical support of the BARMER.

References

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Footnotes

  • Twitter @VASCevidence, @VASCevidence

  • Contributors The concept of the study was developed by CAB. FP, TK and CAB implemented the study design and statistical analysis plan. FP wrote the first draft of the manuscript and CAB, TK, ESD, JK, UM, HL, and AS reviewed, revised and finalised the manuscript. All authors approved the final version.

  • Funding This work was supported by the German Joint Federal Committee (grant-no. 01VSF16008 and 01VSF18035) within the IDOMENEO and RABATT projects. The GermanVasc work group is additionally supported by the German Stifterverband and the CORONA Foundation (grant no. S199/10061/2015), and received research funds from Bayer Vital GmbH, from the foundation of B. Braun Melsungen AG, and from the Foundation of the University Heart and Vascular Center Hamburg (UHZ).

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Ethics approval The initial collection and processing of personal data by BARMER for reimbursement and quality improvement purposes was lawful in accordance to the national regulatory framework and to the European Union General Data Privacy Regulation (EU-GDPR). For further research use, the data were depersonalised by technical matters. Access to the depersonalised data has been granted without the need for consent of the patients based on German Federal Law §67 social act X.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement There are no data in this work.

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