Personalized medicine and stroke prevention: where are we?

A qualitative study exploring the experiences of individuals living with stroke and their caregivers with community-based poststroke services: A critical need for action

Background

Unmet poststroke service needs are common among people living in the community. Community-Based Stroke Services (CBSS) have the potential to address these unmet needs, yet there are no comprehensive guidelines to inform the design of CBSS, and they remain an understudied aspect of stroke care. This study aimed to describe the perceived barriers to accessing community-based stroke services, benefits from these programs and opportunities to address unmet needs.

Methods

This was a qualitative descriptive study with interviews and focus groups conducted with people living with stroke and caregivers. Data were transcribed and analyzed thematically.

Results

Eighty-five individuals with stroke and caregivers participated. Four key overarching themes were identified: facilitators and barriers to accessing and participating in community-based stroke services; components of helpful and unhelpful stroke services; perceived benefits of community-based stroke services; and opportunities to address unmet stroke service needs.

Interpretations

The findings resonate with and extend prior literature, suggesting a critical need for personalized and tailored stroke services to address persistent unmet needs. We call on relevant stakeholders, such as policymakers, providers, and researchers, to move these insights into action through comprehensive guidelines, practice standards and interventions to personalize and tailor CBSS.

Personalized Approaches to Stroke: One Step Forward for Functional Recovery of Stroke Patients

Recent advances in diagnoses, management, and rehabilitation have had a significant impact to reduce mortality and functional recovery in stroke patients. In spite of these medical advances, many stroke survivors still suffer from significant disabilities. Stroke is a complex disease caused by a combination of multiple risk factors. Therefore, personalized medicine is more important than any other field to overcome the limitations of current stroke management and rehabilitation. It is necessary to apply accurate evaluation for functions and a personalized approach in consideration of various characteristics of each stroke patient to improve function. The objective of this Special Issue is to inform the recent scientific knowledge, current limitations, and challenges for an individually tailored strategy in the areas of diagnosis, treatment, and rehabilitation of stroke. A multidisciplinary approach and research will be strongly encouraged for personalized medicine in the field of stroke treatment and rehabilitation.

Medication adherence early after stroke: using the Perceptions and Practicalities Framework to explore stroke survivors', informal carers' and nurses' experiences of barriers and solutions

Background

Secondary prevention medication after stroke reduces risk of recurrence, but adherence is often poor. Stroke survivors’, carers’ and nurses’ perspectives of early post-stroke medication adherence are unexplored.

Aim

The aim of this study was to explore stroke survivors’, carers’ and nurses’ views and experiences about adhering to medication early after post-stroke hospital discharge.

Methods

Qualitative individual and group interviews, utilising the Perceptions and Practicalities Framework, were employed. Nine people <2 months post-stroke, three carers and 15 nurses from one UK stroke unit participated. Interviews were digitally recorded, transcribed and thematically analysed.

Results

There were four main themes with two sub-themes. (1) Perceptions of medication taking after stroke. Factors affecting adherence included depression, imperceptible benefits and concerns about adverse effects. (2) Perceptions about those at higher risk of poor medication adherence. Nurses suggested that poor adherence might be more likely in those living alone or with previous non-adherence. (3) Practicalities of taking medication early after stroke; these included post-stroke disabilities, cognition, polypharmacy and lack of information. (4a) Practicalities of addressing poor medication adherence during the hospital stay. Solutions included multidisciplinary co-ordination, but nurses and stroke survivors described suboptimal use of opportunities to promote adherence. (4b) Practicalities of addressing poor medication adherence post-discharge. Solutions included modifications and support from carers, but stroke survivors reported difficulties in evolving systems for taking medications.

Conclusions

Stroke survivors and informal carers lack knowledge and support needed to manage medication early after discharge. Nurses’ opportunities to promote medication adherence are under-exploited. Medication adherence strategies to support stroke survivors early after discharge are needed.

Health improvement framework for actionable treatment planning using a surrogate Bayesian model

Clinical decision-making regarding treatments based on personal characteristics leads to effective health improvements. Machine learning (ML) has been the primary concern of diagnosis support according to comprehensive patient information. A prominent issue is the development of objective treatment processes in clinical situations. This study proposes a framework to plan treatment processes in a data-driven manner. A key point of the framework is the evaluation of the actionability for personal health improvements by using a surrogate Bayesian model in addition to a high-performance nonlinear ML model. We first evaluate the framework from the viewpoint of its methodology using a synthetic dataset. Subsequently, the framework is applied to an actual health checkup dataset comprising data from 3132 participants, to lower systolic blood pressure and risk of chronic kidney disease at the individual level. We confirm that the computed treatment processes are actionable and consistent with clinical knowledge for improving these values. We also show that the improvement processes presented by the framework can be clinically informative. These results demonstrate that our framework can contribute toward decision-making in the medical field, providing clinicians with deeper insights.

Biomarker Application for Precision Medicine in Stroke

Stroke remains one of the leading causes of long-term disability and mortality despite recent advances in acute thrombolytic therapies. In fact, the global lifetime risk of stroke in adults over the age of 25 is approximately 25%, with 24.9 million cases of ischemic stroke and 18.7 million cases of hemorrhagic stroke reported in 2015. One of the main challenges in developing effective new acute therapeutics and enhanced long-term interventions for stroke recovery is the heterogeneity of stroke, including etiology, comorbidities, and lifestyle factors that uniquely affect each individual stroke survivor. In this comprehensive review, we propose that future biomarker studies can be designed to support precision medicine therapeutic interventions after stroke. The current challenges in defining ideal biomarkers for stroke are highlighted, including consideration of disease course, age, lifestyle factors, and subtypes of stroke. This overview of current clinical trials includes biomarker collection, and concludes with an example of biomarker design for aneurysmal subarachnoid hemorrhage. With the advent of "-omics" studies, neuroimaging, big data, and precision medicine, well-designed stroke biomarker trials will greatly advance the treatment of a disease that affects millions globally every year.

The clinical practice of risk reduction for Alzheimer's disease: A precision medicine approach

Like virtually all age-related chronic diseases, late-onset Alzheimer's disease (AD) develops over an extended preclinical period and is associated with modifiable lifestyle and environmental factors. We hypothesize that multimodal interventions that address many risk factors simultaneously and are individually tailored to patients may help reduce AD risk. We describe a novel clinical methodology used to evaluate and treat patients at two Alzheimer's Prevention Clinics. The framework applies evidence-based principles of clinical precision medicine to tailor individualized recommendations, follow patients longitudinally to continually refine the interventions, and evaluate N-of-1 effectiveness (trial registered at ClinicalTrials.gov NCT03687710). Prior preliminary results suggest that the clinical practice of AD risk reduction is feasible, with measurable improvements in cognition and biomarkers of AD risk. We propose using these early findings as a foundation to evaluate the comparative effectiveness of personalized risk management within an international network of clinician researchers in a cohort study possibly leading to a randomized controlled trial.

Neuroprotection of Brain Cells by Lipoic Acid Treatment after Cellular Stress

We have previously observed that in vivo lipoic acid (LA) treatment induced a protective effect onto primary cortical neurons after brain injury. In an effort to better understand LA action mechanism in the brain, in the present study, we stressed brain cells in vitro and ex vivo and then analyzed by inmmunocytochemistry and biochemical assays, the changes induced by LA on cell survival and on the concentration of oxidative stress markers, such as glutathione (GSH), oxidized glutathione (GSSG), and malondialdehyde (MDA). The stressors used were lipopolysaccharide (LPS), dopamine, and l-buthionine-S,R-sulfoximine (BSO). Our results showed that LA decreased cell death and increased GSH/GSSG ratio in cells stressed by LPS + dopamine, suggesting that the mechanism underlying LA action is regeneration of GSSG to GSH. When cells were stressed by BSO, LA diminished cell death and decreased GSH/GSSG ratio. In this case, it could be concluded that, due to the low GSH basal levels, GSSG reduction is not possible and therefore it might be thought that cell death prevention might be mediated through other mechanisms. Finally, we induced chemical oxidative damage in brain homogenate. After LA treatment, GSH and GSH/GSSG ratio increased and MDA concentration decreased, demonstrating again that LA was not able to increase de novo GSH synthesis but is able to increase GSSG conversion to GSH.

Nurse-Led Intervention to Improve Knowledge of Medications in Survivors of Stroke or Transient Ischemic Attack: A Cluster Randomized Controlled Trial

INTRODUCTION

Limited evidence exists on effective interventions to improve knowledge of preventive medications in patients with chronic diseases, such as stroke. We investigated the effectiveness of a nurse-led intervention, where a component was to improve knowledge of prevention medications, in patients with stroke or transient ischemic attack (TIA).

METHODS

Prospective sub-study of the Shared Team Approach between Nurses and Doctors for Improved Risk Factor Management, a randomized controlled trial of risk factor management. We recruited patients aged ≥18 years and hospitalized for stroke/TIA. The intervention comprised an individualized management program, involving nurse-led education, and management plan with medical specialist oversight. The outcome, participants' knowledge of secondary prevention medications at 12 months, was assessed using questionnaires. A score of ≥5 was considered as good knowledge. Effectiveness of the intervention on knowledge of medications was determined using logistic regression.

RESULTS

Between May 2014 and January 2015, 142 consecutive participants from the main trial were included in this sub-study, 64 to usual care and 78 to the intervention (median age 68.9 years, 68% males, and 79% ischemic stroke). In multivariable analyses, we found no significant difference between intervention groups in knowledge of medications. Factors independently associated with good knowledge (score ≥5) at 12 months included higher socioeconomic position (OR 4.79, 95% CI 1.76, 13.07), greater functional ability (OR 1.69, 95% CI 1.17, 2.45), being married/living with a partner (OR 3.12, 95% CI 1.10, 8.87), and using instructions on pill bottle/package as an administration aid (OR 4.82, 95% CI 1.76, 13.22). Being aged ≥65 years was associated with poorer knowledge of medications (OR 0.24, 95% CI 0.08, 0.71), while knowledge was worse among those taking three medications (OR 0.15, 95% CI 0.03, 0.66) or ≥4 medications (OR 0.09, 95% CI 0.02, 0.44), when compared to participants taking fewer (≤2) prevention medications.

CONCLUSION

There was no evidence that the nurse-led intervention was effective for improving knowledge of secondary prevention medications in patients with stroke/TIA at 12 months. However, older patients and those taking more medications should be particularly targeted for more intensive education.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ACTRN12688000166370).