Secondary prevention medication persistence and prognosis of acute ischaemic stroke or transient ischaemic attack

Introduction

The risk of disability and mortality is high among recurrent stroke, which highlights the importance of secondary prevention measures. We aim to evaluate medication persistence for secondary prevention and the prognosis of acute ischaemic stroke or transient ischaemic attack (TIA) in China.

Methods

Patients with acute ischaemic stroke or TIA from the China National Stroke Registry II were divided into 3 groups based on the percentage of persistence in secondary prevention medication classes from discharge to 3 months after onset (level I: persistence=0%, level II: 0%<persistence<100%, level III: persistence=100%). The primary outcome was recurrent stroke. The secondary outcomes included composite events (stroke, myocardial infarction or death from cardiovascular cause), all-cause death and disability (modified Rankin Scale score=3–5) from 3 months to 1 year after onset. Recurrent stroke, composite events and all-cause death were performed using Cox regression model, and disability was identified through logistic regression model using the generalised estimating equation method.

Results

18 344 patients with acute ischaemic stroke or TIA were included, 315 (1.7%) of whom experienced recurrent strokes. Compared with level I, the adjusted HR of recurrent stroke for level II was 0.41 (95% CI 0.31 to 0.54) and level III 0.37 (0.28 to 0.48); composite events for level II 0.41 (0.32 to 0.53) and level III 0.38 (0.30 to 0.49); all-cause death for level II 0.28 (0.23 to 0.35) and level III 0.20 (0.16–0.24). Compared with level I, the adjusted OR of disability for level II was 0.89 (0.77 to 1.03) and level III 0.82 (0.72 to 0.93).

Conclusions

Persistence in secondary prevention medications, especially in all classes of medications prescribed by the physician, was associated with lower hazard of recurrent stroke, composite events, all-cause death and lower odds of disability in patients with acute ischaemic stroke or TIA.

Methods for Measuring Multiple Medication Adherence: A Systematic Review-Report of the ISPOR Medication Adherence and Persistence Special Interest Group

BACKGROUND

A broad literature base exists for measuring medication adherence to monotherapeutic regimens, but publications are less extensive for measuring adherence to multiple medications.

OBJECTIVES

To identify and characterize the multiple medication adherence (MMA) methods used in the literature.

METHODS

A literature search was conducted using PubMed, PsycINFO, the International Pharmaceutical Abstracts, the Cumulative Index to Nursing and Allied Health Literature and the Cochrane Library databases on methods used to measure MMA published between January 1973 and May 2015. A two-step screening process was used; all abstracts were screened by pairs of researchers independently, followed by a full-text review identifying the method for calculating MMA. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed to conduct this systematic review. For studies that met the eligibility criteria, general study and adherence-specific characteristics and the number and type of MMA measurement methods were summarized.

RESULTS

The 147 studies that were included originated from 32 countries, in 13 disease states. Of these studies, 26 used proportion of days covered, 23 used medication possession ratio, and 72 used self-reported questionnaires (e.g., the Morisky Scale) to assess MMA. About 50% of the studies included more than one method for measuring MMA, and different variations of medication possession ratio and proportion of days covered were used for measuring MMA.

CONCLUSIONS

There appears to be no standardized method to measure MMA. With an increasing prevalence of polypharmacy, more efforts should be directed toward constructing robust measures suitable to evaluate adherence to complex regimens. Future research to understand the validity and reliability of MMA measures and their effects on objective clinical outcomes is also needed.

Aspirin plus dipyridamole has the highest surface under the cumulative ranking curves (SUCRA) values in terms of mortality, intracranial hemorrhage, and adverse event rate among 7 drug therapies in the treatment of cerebral infarction

BACKGROUND

The standardization for the clinical use of drug therapy for cerebral infarction (CI) has not yet determined in some aspects. In this paper, we discussed the efficacies of different drug therapies (aspirin, aspirin plus dipyridamole, aspirin plus clopidogrel, aspirin plus warfarin, cilostazol, warfarin, and ticlopidine) for CI.

METHODS

We searched databases of PubMed and Cochrane Library from the inception to April, 2017, randomized controlled trials (RCTs) met the inclusion and exclusion criteria were enrolled in this study. The network meta-analysis integrated evidences of direct and indirect comparisons to assess odd ratios (OR) and surface under the cumulative ranking curves (SUCRA) value.

RESULTS

Thirteen eligible RCTs including 7 drug therapies were included into this network meta-analysis. The network meta-analysis results showed that CI patients who received aspirin plus dipyridamole presented lower mortality when compared with those received aspirin plus clopidogrel (OR = 0.46, 95% CI = 0.18-0.99), indicating aspirin plus dipyridamole therapy had better efficacy for CI. As for intracranial hemorrhage (ICH), stroke recurrence, and adverse event (AE) rate, there were no significant differences of efficacy among 7 drug therapies. Besides, SUCRA values demonstrated that in the 7 drug therapies, aspirin plus dipyridamole therapy was more effective than others (mortality: 80.67%; ICH: 76.6%; AE rate: 90.2%).

CONCLUSIONS

Our findings revealed that aspirin plus dipyridamole therapy might be the optimum one for patients with CI, which could help to improve the survival of CI patients.

A comparison of measures used to describe adherence to glaucoma medication in a randomised controlled trial

Background:

Understanding the magnitude of non-adherence in pre-marketing clinical trials and clinical practice is essential. However, accurately measuring non-adherence to medication is problematic, and the variety of adherence measures and/or calculation methods has led to highly variable results.

Purpose:

To compare commonly used methods for measuring adherence to eye drop therapy in order to assess which methods achieve the most complete datasets over an 8-month monitoring period, to quantify the magnitude of variance in adherence estimations and to review the different methods used to calculate or interpret adherence data.

Methods:

Adherence was measured electronically for 8 months by participants administering eye drops using a Travalert® dosing aid. The mean number of Travalert dosing aid recorded doses administered over the monitoring period was used to calculate a percentage adherence score. In addition, the value of graphically presenting Travalert dosing aid data to classify patterns of adherence behaviour was explored. The validated Morisky Measure of Adherence Scale and questions requesting participants to report the Frequency of Missed Doses were two measures of self-reported adherence calculated for each participant. Finally, medication possession ratio was calculated from expected repeat prescription orders compared with actual repeat prescription orders.

Results:

For the 208 recruited participants, self-reported adherence was the most reliable method of collecting complete datasets over the 8-month period; 16% of self-reported adherence data were missing compared with 45% of Travalert dosing aid data missing at 8 months. The mean adherence measured over the monitoring period by the Travalert dosing aid was 77%. When adherence measures were dichotomised into adherent and non-adherent groups, the Travalert dosing aid found 54% of participants were adherent, compared to 60% Morisky Measure of Adherence Scale and 57% Frequency of Missed Dose self-report measures. However, there was poor agreement between the Travalert dosing aid measured adherence and self-report measures. Medication possession ratio was not a reliable measure of persistence with medication. Graphical Travalert dosing aid data presentation provided additional information about participant behaviour by indicating that most non-adherence was due to participants taking drug holidays rather than missing occasional doses.

Conclusion:

The analysis provided evidence about the inconsistencies between different monitoring strategies and adherence measures. Furthermore, the analysis highlighted the difficulties in collecting complete data for studies investigating chronic, slowly progressive conditions that require long-term follow-up. Future adherence studies could use multiple methods for quantifying and classifying adherence in parallel, both to maximise precision of adherence estimates and to facilitate comparison between studies. However, the authors are cautious of the effect of using multiple adherence measures on participant behaviour and their potential reactivity effects is an area for future research.

Imbalance between IL-17A-producing cells and regulatory T cells during ischemic stroke

Immune responses and inflammation are key elements in the pathogenesis of ischemic stroke (IS). Although the involvement of IL-17A in IS has been demonstrated using animal models, the involvement of IL-17A and IL-17-secreting T cell subsets in IS patients has not been verified, and whether the balance of Treg/IL-17-secreting T cells is altered in IS patients remains unknown. In the present study, we demonstrated that the proportion of peripheral Tregs and the levels of IL-10 and TGF- β were reduced in patients with IS compared with controls using flow cytometry (FCM), real-time PCR, and ELISA assays. However, the proportions of Th17 and γ δ T cells, the primary IL-17A-secreting cells, increased dramatically, and these effects were accompanied by increases in the levels of IL-17A, IL-23, IL-6, and IL-1 β in IS patients. These studies suggest that the increase in IL-17A-producing cells and decrease in Treg cells might contribute to the pathogenesis of IS. Manipulating the balance between Tregs and IL-17A-producing cells might be helpful for the treatment of IS.

Intentional non-adherence to medications by older adults

'The extent to which an individual's medication-taking behaviour and/or execution of lifestyle changes, corresponds with agreed recommendations from a healthcare provider', is a highly complex behaviour, defined as adherence. However, intentional non-adherence is regularly observed and results in negative outcomes for patients along with increased healthcare provision costs. Whilst this is a consistent issue amongst adults of all ages, the burden of chronic disease is greatest amongst older adults. As a result, the absolute prevalence of intentional non-adherence is increased in this population. This non-systematic review of intentional non-adherence to medication highlights the extent of the problem amongst older adults. It notes that age, per se, is not a contributory factor in intentionally non-adherent behaviours. Moreover, it describes the difference in methodology required to identify such behaviours in contrast to reports of non-adherence in general: the use of focus groups, semi-structured, one-to-one interviews and questionnaires as opposed to pill counts, electronic medication monitors and analysis of prescription refill rates. Using Leventhal's Common-Sense Model of Self-Regulation, it emphasizes six key factors that may contribute to intentional non-adherence amongst older adults: illness beliefs, the perceived risks (e.g. dependence, adverse effects), benefits and necessity of potential treatments, the patient-practitioner relationship, inter-current physical and mental illnesses, financial constraints and pharmaceutical/pharmacological issues (poly-pharmacy/regimen complexity). It describes the current evidence for each of these aspects and notes the paucity of data validating Leventhal's model in this regard. It also reports on interventions that may address these issues and explicitly acknowledges the lack of evidence-based interventions available to healthcare practitioners. As a result, it highlights five key areas that require urgent research amongst older adults: (1) the overlap between intentional and unintentional non-adherence, particularly amongst those who may be frail or isolated; (2) the potential correlation between symptomatic benefit and intentional vs. unintentional non-adherence to medication; (3) an evaluation of the source of prescribing (i.e. a long-standing provider vs. an acute episode of care) and the patient-prescriber relationship as determinants of intentional and unintentional non-adherence; (4) the decision-making processes leading to selective intentional non-adherence amongst older adults with multiple medical problems; and (5) the development and evaluation of interventions designed to reduce intentional non-adherence, specifically addressing each of the aspects listed above.

Long-term use of antiplatelet drugs by patients with transient ischaemic attack

PURPOSE

To determine the degree of long-term non-persistence to antiplatelet drugs in patients with transient ischaemic attack (TIA) and identify determinants of this drug-use pattern.

METHODS

We used community-based prescription registry data to determine antiplatelet drug use in TIA patients presenting to a Danish neurology department in the period 2006-2010. Non-persistence was defined as failure to present a prescription for antiplatelet drugs within 180 days after the dosage of a previous prescription had run out. We used Cox regression to calculate the hazard ratio (HR) for non-persistence and the corresponding 95 % confidence interval (CI) by potential determinants, including a stroke risk score (ABCD2 score). Adherence during follow-up [80 % medication possession ratio (MPR80)] was calculated for antiplatelets, statins and antihypertensive drugs.

RESULTS

The cohort comprised 594 (84 % evaluated as in-patients) TIA patients. During follow-up (median 1.7 years, interquartile range 0.9-3.0 years), 140 (23.6 %) patients became non-persistent. Non-persistence was associated with younger age (<55 years: HR 1.9, 95 % CI 1.3-2.8) and delay between TIA onset and neurological evaluation (7+ days: HR 2.0, 95 % CI 1.0-4.1). Among admitted patients, a higher ABCD2 score (4+: HR 1.3, 95 % CI 0.8-2.1) was also indicative of non-persistence. Non-persistent users were less adherent to other preventive medication (MPR80: statins 31.8 vs. 75.3 %, p value < 0.001; antihypertensives 64.3 vs. 79.5 %, p value: 0.02) than persistent users.

CONCLUSION

Long-term antiplatelet non-persistence was most pronounced in patients of younger age, those with delayed evaluation of symptoms and those at greater risk of stroke. It was also associated with a lower adherence to preventive medication in general.