Social networks and risk of delayed hospital arrival after acute stroke

Service access networks at 3- and 6-months after discharge from brain injury rehabilitation: an ego-network analysis

PURPOSE

To map the 3- and 6-month post-acute rehabilitation and healthcare networks from the perspective of people with Acquired Brain Injury and examine how these relate to funding provision and participation in a specialist transitional rehabilitation service.

MATERIALS AND METHODS

Fifteen adults with an Acquired Brain Injury (mean age 43; range 20-63) participated in semi-structured telephone interviews at 3- and 6-month post-discharge from inpatient rehabilitation with a total of 29 interviews conducted. The interview guide was based on a social network framework and data were obtained regarding the composition, size, density, and stability of networks.

RESULTS

Results indicated that participants' networks ranged from 3-10 health professionals. Five typologies were apparent including cohesive, cluster, core, star, and kite network. Participants' networks generally decreased in size and density at 6-month post-discharge. The networks of participants were varied, and differences in network measures were observed when comparing those who were funded by National Injury Insurance Scheme-Queensland and National Disability Insurance Scheme and those that did or did not attend Transitional Rehabilitation Service.

CONCLUSIONS

The study highlighted the diversity of individuals' personal networks when assessing their composition and structural characteristics. Through the study, a deeper understanding of the networks and individuals' experiences of service provision under the existing funding and program frameworks was developed.

Time Window and Watch-and-Wait: Stroke

According to Global Stroke Fact Sheet 2022, stroke is the second leading cause of death and a major cause of disability. Stroke treatment and care need immediate attention and fill the large existing gaps. This article focuses on the gaps in stroke prevention, management, and care. The author has highlighted 2 main facts, time window and watch-and-wait, which play a critical role in the management of patients upon stroke onset.

Reasons for emergency department use of low-acuity attender: results from the prospective, multicentre, cross-sectional EPICS-9/PiNo-Bund study

BACKGROUND

The number of low-acuity emergency department (ED) visits varies across Europe and is often posited as a contributing factor to ED crowding. Many health policy-makers and health professionals assume that these cases are 'avoidable' ED visits or could be referred to other ambulatory healthcare providers.

OBJECTIVES

This study examines the care-seeking behaviour and the reasoning behind patients with low-acuity ED attendance according to emergency triage.

DESIGN AND SETTING

In a prospective multicentre cross-sectional survey, patients were invited to participate in an anonymised, paper-based survey in the waiting areas of nine EDs in Germany (2018-2020). The survey included questions on sociodemographic characteristics, reasons for using the ED, previous consultations in the outpatient healthcare system, self-rated urgency and knowledge of other emergency care structures. Due to the variance of missing values in the different responses, the valid percentages are shown.

RESULTS

Of the 2752 survey respondents, 41.1% (n=1 120) indicated that 'pain' was the primary complaint for their ED attendance. Self-rated urgency was 'less urgent' for 58.7% (n=1552), 'urgent' for 41.3% (n=1093) and 57.7% reported the first episode of their symptoms (n=1505), with 30.8% (n=830) with symptom onset on the same day. The majority of patients completed the survey on weekdays (94.6%) between 08:00 and 18:00 (82.2%). 80.1% stated that they had a general practitioner (GP) (n=2103) and 55.8% contacted their GP before attending the ED (n=1403). In 77.8% of patients with GP contact, a visit to the ED was recommended by practice members or the GP (n=1068). The on-call service of the statutory health insurance physicians (SHIP) was contacted by 7.0% (n=172); in 64.6% of these cases (n=115), an ED visit was recommended. Of all patients without contact to the SHIP on-call service, 60.6% stated that they were not aware of these services (n=848).

CONCLUSIONS

Patients with low-acuity ED attendance stated acute onset and mainly new episodes of symptoms, with pain being the most common chief complaint. A high proportion reported having contacted their GP or SHIP on-call services (if known) but have been referred to the ED. As long as no fundamental changes are made to the provision of timely treatment options in the outpatient care sector, EDs may continue to be the foremost treatment option for these patients.

Self-advocacy positive perceptions and stage experiences in patients who had a stroke: a qualitative study in China

OBJECTIVES

This study explored the perceptions and experiences of self-advocacy among patients who had a stroke in China.

DESIGN

A descriptive phenomenological qualitative study was performed. Colaizzi's seven-step method was used to analyse the data.

SETTING

Two hospitals in Zhengzhou and Luoyang City, Henan Province, China.

PARTICIPANTS

19 patients who had a stroke were recruited and interviewed face-to-face between October 2023 and February 2024.

RESULTS

The findings revealed two categories: positive perceptions and stage experiences. Three themes of positive perceptions were extracted: 'accept the facts of illness while maintaining inner integrity' with three subthemes (disease cognition, firm faith and positive attitude); 'clarify one's own needs and strive for them' with four subthemes (self-care knowledge, effective communication, independent decision-making and power from relation); 'enhancing subjective initiative and maintaining healthy behaviours' with three subthemes (active participant in disease management, increased treatment compliance and increased initiative in rehabilitation exercises). Three stage experiences themes were motivation, response and stabilisation stage.

CONCLUSIONS

In this study, patients who had a stroke showed more positive perceptions of self-advocacy. Self-advocacy is a dynamic and progressive process of accepting their disease and actively participating in disease treatment. In addition, patients' health behaviours are improved and maintained when they engage in self-advocacy.

Development of an Acute Stroke Care Seeking Framework

ABSTRACT

BACKGROUND: A multitude of variables influence an individual's decision to seek care in emergency situations. By recognizing these variables and their impact on the timeline of an individual seeking care for a stroke, nurses have an opportunity to positively affect the outcomes of stroke within the community. The purpose of this narrative review was to develop a research framework describing the variables involved in care seeking during an acute stroke. METHODS: Using a theory synthesis methodology that included variable identification and the establishment of relationships between variables based on existing literature, a framework describing variables relevant to acute stroke care seeking behavior was developed. RESULTS: Fourteen recently published studies reported significant variables related to seeking emergency medical care during the hyperacute phase of a stroke. Eight variables were identified and characterized as either promoters or distractors. Promoters led an individual to seek acute stroke care earlier, such as perceived symptom severity, stroke knowledge, and the presence of others. Distractors led an individual to delay seeking acute stroke care and resulted in later hospital arrival times, such as a lack of social network or resources, comorbid conditions, and incongruity with the local health system. CONCLUSION: Although individual decision making is exceedingly complex and varies by individual and situation, the developed acute stroke care seeking framework may provide a basis on which to develop stroke awareness programs and interventions targeted at individuals at risk for delayed acute stroke care.

Seeking help for atrial fibrillation: the role of the body in distributed decision making

We adopt Rapley's (2008) concept of distributed decision making to explore the role of the body in people's decisions to seek medical care. We conducted in-depth interviews with patients diagnosed with atrial fibrillation (AF) who were taking long-term anticoagulants to prevent stroke. We interviewed seventeen patients recruited from English anticoagulant clinics using the biographic-narrative-interpretive method, and conducted thematic, structural and metaphorical analyses. This pluralistic analysis focused on how distributed decision-making was enacted through a range of socio-material, relational and embodied practices. Participants told how they experienced AF-related sensations that fluctuated in intensity and form. Some had no symptoms at all; others experienced sudden incapacitation - these experiences shaped different journeys towards seeking medical help. We draw on work by Mol (2002) to show how the body was differently observed, experienced and done across contexts as the narratives unfolded. We show that as part of a relational assemblage, involving social, material and technological actors over time, a new body-in-need-of-help was enacted and medical help sought. This body-in-need-of-help was collectively discussed, interpreted and experienced through distribution of body parts, fluids and technological representations to shape decisions. RAPLEY T., 2008. Distributed decision making: the anatomy of decisions-in-action. Sociology of Health & Illness, 30, 429-444. MOL A., 2002. The body multiple: ontology in medical practice. Duke University Press: Durham.

Caring for Stroke Survivors: Ethnic Differences in Informal Caregiver Needs Among Mexican American and Non-Hispanic White Communities

BACKGROUND

After stroke, Mexican American (MA) individuals have worse 90-day neurological, functional, cognitive, and quality of life outcomes and a higher prevalence of poststroke depression compared with non-Hispanic White (NHW) individuals. MA individuals receive more help through informal, unpaid caregiving than NHW individuals. We examined ethnic differences in needs identified by MA and NHW stroke caregivers.

METHODS

Caregivers were identified from the population-based BASIC study (Brain Attack Surveillance in Corpus Christi) in Nueces County, Texas from October 2019 to November 2021. Responses to the Caregiver Needs and Concerns Checklist were collected at 90-day poststroke to assess caregiver needs. Using the cross-sectional sample, prevalence scores and bivariate analyses were used to examine ethnic differences between Caregiver Needs and Concerns Checklist items. Linear regression was used to examine adjusted associations of ethnicity with the total average needs for each domain. Models were adjusted for patient and caregiver age and sex, caregiver education level, and employment status, patient insurance status, prestroke function, cognitive status, language, and functional outcome at 90 days, intensity and duration of caregiving, presence of other caregivers (paid/unpaid), and cohabitation of patient and caregiver.

RESULTS

A total of 287 were approached, and 186 stroke caregivers were included with a median age of 54.2 years and 80.1% being women caregivers: 74.3% MA and 25.7% NHW individuals. MA caregivers had significantly lower education (

CONCLUSIONS

MA stroke caregivers have greater information needs compared with NHW caregivers and a greater number of needs overall. This information can help improve resources to help with poststroke recovery, improve caregiver well-being, and strengthen health equity.

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Key Words

• caregivers
• ethnicity
• stroke

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MESH Headings

• Adult
• Aged
• Female
• Humans
• Male
• Middle Aged
• Caregivers/psychology
• Cross-Sectional Studies
• Mexican Americans/psychology
• Quality of Life
• Stroke/ethnology
• Stroke/therapy
• Stroke/nursing
• Survivors
• Texas/epidemiology
• White
• White People/psychology

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Grants

• R01 AG069148 NIA NIH HHS
• R01 NS100687 NINDS NIH HHS
• R01 NS038916 NINDS NIH HHS
• R37 NS038916 NINDS NIH HHS
• R01 NS107463 NINDS NIH HHS

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Affiliation(s)

Roshanak Mehdipanah School of Public Health, University of Michigan, Ann Arbor, MI
Lewis B Morgenstern School of Public Health, University of Michigan, Ann Arbor, MI
Janet Prvu Bettger College of Public Health, Temple University, Philadelphia, PA
Madeline Kwicklis School of Public Health, University of Michigan, Ann Arbor, MI
Erin Case School of Public Health, University of Michigan, Ann Arbor, MI
Elizabeth Almendarez School of Public Health, University of Michigan, Ann Arbor, MI
Lynda D Lisabeth School of Public Health, University of Michigan, Ann Arbor, MI

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Collaborators Collapse

Introducing SoNHR-Reporting guidelines for Social Networks In Health Research

OBJECTIVE

The overall goal of this work is to produce a set of recommendations (SoNHR-Social Networks in Health Research) that will improve the reporting and dissemination of social network concepts, methods, data, and analytic results within health sciences research.

METHODS

This study used a modified-Delphi approach for recommendation development consistent with best practices suggested by the EQUATOR health sciences reporting guidelines network. An initial set of 28 reporting recommendations was developed by the author team. A group of 67 (of 147 surveyed) experienced network and health scientists participated in an online feedback survey. They rated the clarity and importance of the individual recommendations, and provided qualitative feedback on the coverage, usability, and dissemination opportunities of the full set of recommendations. After examining the feedback, a final set of 18 recommendations was produced.

RESULTS

The final SoNHR reporting guidelines are comprised of 18 recommendations organized within five domains: conceptualization (how study research questions are linked to network conceptions or theories), operationalization (how network science portions of the study are defined and operationalized), data collection & management (how network data are collected and managed), analyses & results (how network results are analyzed, visualized, and reported), and ethics & equity (how network-specific human subjects, equity, and social justice concerns are reported). We also present a set of exemplar published network studies which can be helpful for seeing how to apply the SoNHR recommendations in research papers. Finally, we discuss how different audiences can use these reporting guidelines.

CONCLUSIONS

These are the first set of formal reporting recommendations of network methods in the health sciences. Consistent with EQUATOR goals, these network reporting recommendations may in time improve the quality, consistency, and replicability of network science across a wide variety of important health research areas.

Stroke metrics during the first year of the COVID-19 pandemic, a tale of two comprehensive stroke centers

Although a decrease in stroke admissions during the SARS-CoV-2 pandemic has been observed, detailed analyses of the evolution of stroke metrics during the pandemic are lacking. We analyzed changes in stroke presentation, in-hospital systems-of-care, and treatment time metrics at two representative Comprehensive Stroke Centers (CSCs) during the first year of Coronavirus disease 2019 pandemic. From January 2018 to May 2021, data from stroke presentations to two CSCs were obtained. The study duration was split into: period 0 (prepandemic), period 1 (Wave 1), period 2 (Lull), and period 3 (Wave 2). Acute stroke therapies rates and workflow times were compared among pandemic and prepandemic periods. Analyses were adjusted for age, sex, comorbidities, and pre-morbid care needs. There was a significant decrease in monthly hospital presentations of stroke during Wave 1. Both centers reported declines in reperfusion therapies during Wave 1, slowly catching up but never to pre pandemic numbers, and dropping again in Wave 2. Both CSCs experienced in-hospital workflow delays during Waves 1 and 2, and even during the Lull period. Our results highlight the need for proactive strategies to reduce barriers to workflow and hospital avoidance for stroke patients during crisis periods.

SocialBit: protocol for a prospective observational study to validate a wearable social sensor for stroke survivors with diverse neurological abilities

INTRODUCTION

Social isolation has been found to be a significant risk factor for health outcomes, on par with traditional risk factors. This isolation is characterised by reduced social interactions, which can be detected acoustically. To accomplish this, we created a machine learning algorithm called SocialBit. SocialBit runs on a smartwatch and detects minutes of social interaction based on vocal features from ambient audio samples without natural language processing.

METHODS AND ANALYSIS

In this study, we aim to validate the accuracy of SocialBit in stroke survivors with varying speech, cognitive and physical deficits. Training and testing on persons with diverse neurological abilities allows SocialBit to be a universally accessible social sensor. We are recruiting 200 patients and following them for up to 8 days during hospitalisation and rehabilitation, while they wear a SocialBit-equipped smartwatch and engage in naturalistic daily interactions. Human observers tally the interactions via a video livestream (ground truth) to analyse the performance of SocialBit against it. We also examine the association of social interaction time with stroke characteristics and outcomes. If successful, SocialBit would be the first social sensor available on commercial devices for persons with diverse abilities.

ETHICS AND DISSEMINATION

This study has received ethical approval from the Institutional Review Board of Mass General Brigham (Protocol #2020P003739). The results of this study will be published in a peer-reviewed journal.

Impact of areal socioeconomic status on prehospital delay of acute ischaemic stroke: retrospective cohort study from a prefecture-wide survey in Japan

OBJECTIVES

To examine whether the Areal Deprivation Index (ADI), an indicator of the socioeconomic status of the community the patient resides in, is associated with delayed arrival at the hospital and poor outcomes in patients with acute ischaemic stroke from a prefecture-wide stroke database in Japan.

DESIGN

Retrospective study.

SETTING

Twenty-nine acute stroke hospitals in Kochi prefecture, Japan.

PARTICIPANTS

Nine thousand and six hundred fifty-one patients with acute ischaemic stroke who were urgently hospitalised, identified using the Kochi Acute Stroke Survey of Onset registry. Capital and non-capital areas were analysed separately.

PRIMARY AND SECONDARY OUTCOME MEASURES

Prehospital delay defined as hospital arrival ≥4-hour after stroke onset, poor hospital outcomes (in-hospital mortality and discharge to a nursing facility) and the opportunities of intravenous recombinant tissue plasminogen activator (rt-PA) and endovascular reperfusion therapy.

RESULTS

In the overall cohort, prehospital delay was observed in 6373 (66%) patients. Among individuals residing in non-capital areas, those living in municipalities with higher ADI (more deprived) carried a significantly higher risk of prehospital delay (per one-point increase, OR (95% CI) 1.45 (1.26 to 1.66)) by multivariable logistic regression analysis. In-hospital mortality (1.45 (1.02 to 2.06)), discharge to a nursing facility (1.31 (1.03 to 1.66)), and delayed candidate arrival ≥2-hour of intravenous rt-PA (2.04 (1.30 to 3.26)) and endovascular reperfusion therapy (2.27 (1.06 to 5.00)), were more likely to be observed in the deprived areas with higher ADI. In the capital areas, postal-code-ADI was not associated with prehospital delay (0.97 (0.66 to 1.41)).

CONCLUSIONS

Living in socioeconomically disadvantaged municipalities was associated with prehospital delays of acute ischaemic stroke in non-capital areas in Kochi prefecture, Japan. Poorer outcomes of those patients may be caused by delayed treatment of intravenous rt-PA and endovascular reperfusion therapy. Further studies are necessary to determine social risk factors in the capital areas.

TRIAL REGISTRATION NUMBER

This article is linked to a clinical trial to UMIN000050189, No.: R000057166 and relates to its Result stage.

Dialysis Patients' Social Networks and Living Donation Offers

Rationale & Objective

Most living kidney donors are members of a hemodialysis patient's social network. Network members are divided into core members, those strongly connected to the patient and other members; and peripheral members, those weakly connected to the patient and other members. We identify how many hemodialysis patients' network members offered to become kidney donors, whether these offers were from core or peripheral network members, and whose offers the patients accepted.

Study Design

A cross-sectional interviewer-administered hemodialysis patient social network survey.

Setting & Participants

Prevalent hemodialysis patients in 2 facilities.

Predictors

Network size and constraint, a donation from a peripheral network member.

Outcomes

Number of living donor offers, accepting an offer.

Analytical Approach

We performed egocentric network analyses for all participants. Poisson regression models evaluated associations between network measures and number of offers. Logistic regression models determined the associations between network factors and accepting a donation offer.

Results

The mean age of the 106 participants was 60 years. Forty-five percent were female, and 75% self-identified as Black. Fifty-two percent of participants received at least one living donor offer (range 1-6); 42% of the offers were from peripheral members. Participants with larger networks received more offers (incident rate ratio [IRR], 1.26; 95% CI, 1.12-1.42; P = 0.001), including networks with more peripheral members (constraint, IRR, 0.97; 95% CI, 0.96-0.98; P < 0.001). Participants who received a peripheral member offer had 3.6 times greater odds of accepting an offer (OR, 3.56; 95% CI, 1.15-10.8; P = 0.02) than those who did not receive a peripheral member offer.

Limitations

A small sample of only hemodialysis patients.

Conclusions

Most participants received at least one living donor offer, often from peripheral network members. Future living donor interventions should focus on both core and peripheral network members.

Exploring Naturalistic Diffusion of an Evidence-Based Mental Health Intervention across Peer Networks of Youth in Sierra Leone

BACKGROUND

Understanding the mechanisms by which evidence-based interventions (EBIs) for mental health are naturally diffused among youth in low-and middle-income countries-particularly those with histories of violence and civil unrest-can illuminate which intervention elements are most transferrable and inform scale-up decisions that support youth adjustment. This study explored the diffusion of an evidence-based mental health intervention-the Youth Readiness Intervention (YRI)-among peer networks of Sierra Leonean youth (aged 18-30) who participated in a trial of the intervention as integrated into youth entrepreneurship programs.

METHODS

Trained research assistants recruited index participants who had completed the YRI integrated within entrepreneurship training (N = 165) and control index participants (N = 165). Index participants nominated three of their closest peers. Nominated peers were recruited and enrolled in the current study (N = 289). A sub-sample of index participants and peers participated in dyadic interviews (N = 11) and focus group discussions (N = 16). Multivariate regression analysis compared YRI knowledge levels among YRI participants' peers relative to control participants' peers.

RESULTS

Qualitative findings supported the diffusion of several YRI skills and components across peer networks (i.e., progressive muscle relaxation and diaphragmatic breathing). Quantitative findings indicated that YRI knowledge was significantly higher for YRI participants' peers (β = 0.02, p < 0.00) compared to control participants' peers.

CONCLUSION

Findings suggest that diffusion of evidence-based intervention components can occur naturally among peers in post-conflict LMIC settings. Developing tools to promote the diffusion of the most transferrable EBI components across peer networks could help maximize the benefits of mental health interventions for youth adjustment and resilience in post-conflict settings.

Educational gradient in social network changes at disease diagnosis

This study examines the educational gradient in social network changes following the diagnosis of new chronic diseases. Using a representative sample of the US older population, the author shows that the network size and amount of health-related discussion with social network members increased only for older adults with a bachelor's degree. Tie-level analyses reveal that such increase is from the activation of health discussion with the existing social network members, but not from the changes in discussion partners. These results suggest that heterogeneous temporal dynamics in social networks may be one mechanism that shapes diverging health trajectories in later life.

Social networks of oncology clinicians as a means for increasing survivorship clinic referral

Background

Specialized cancer survivorship clinics are recommended for addressing treatment-related health concerns of long-term survivors, but their relative newness in medical oncology necessitates strategies to expand services and clinic referrals. This study used social network analysis to identify personal and/or network factors associated with referral of patients to a survivorship clinic.

Methods

We conducted a cross-sectional social network survey of clinical personnel at a National Cancer Institute-designated comprehensive cancer center. Participants identified colleagues with whom they consult for advice (advice network) and/or discuss patient care (discussion network). Exponential random graph models and logistic regression were used to identify key opinion leaders in the network and factors associated with referral of patients to the center’s survivorship clinic.

Results

Here we show that of the respondents (n = 69), 78.0% report being aware of the survivorship clinic, yet only 30.4% had ever referred patients to it. Individuals tend to associate with others in the same occupational role (homophily). In the discussion network, holding an influential network position (betweenness centrality) is associated with patient referral to the survivorship clinic. In the advice network, several social workers are identified as opinion leaders.

Conclusions

This study shows that there is strong homophily in both networks, potentially inhibiting information sharing between groups. In designing an inclusive network intervention, persons occupying influential network positions and opinion leaders (e.g., social workers in this case) are well-positioned to promote survivorship clinic referrals.

Specialized cancer survivorship clinics are an attractive but under-utilized option for monitoring long-term survivors at risk for developing serious health problems after treatment. The purpose of this survey-based social network analysis was to describe clinician interactions within a cancer center and explore opportunities for developing interventions to increase survivorship clinic referrals. We asked cancer clinicians to identify which colleagues they consult for advice about patient care and whether they were already referring survivors to the clinic. We found that clinicians in central ‘gatekeeper’ positions were more likely to refer survivors and facilitate information sharing among clinician groups. Social workers were sought most often for advice about patient care, suggesting an intervention utilizing these professionals could potentially raise awareness about survivorship clinic among colleagues and result in increased referrals.

Piombo et al. analyse social networks of cancer clinicians to study referral practices to a cancer survivorship clinic at a comprehensive cancer centre. The authors identify key opinion leaders within the networks and suggest interventions to improve referrals to survivorship services.

Effect of the Preparatory School FAST Stroke Educational Program

ABSTRACT

BACKGROUND: The aim of this study was to assess the effectiveness of FAST stroke educational program among all preparatory school students in the state of Qatar. METHODS: The pretest-posttest experimental research design was used to evaluate the effectiveness of the FAST educational program in Qatar. A 30-minute audiovisual presentation was given to improve knowledge of stroke. We included grade 7 to 9 students during the academic year 2018-2019. The FAST program consisted of a pretest, an educational intervention, and immediate and long-term posttests at 2 months. RESULTS: A sample of 1244 students completed presurvey and immediate postsurvey, with an average age of 13.5 (1.12) years (range, 11-18 years) and 655 (53%) females. Students had significantly ( P < .01) greater knowledge of stroke signs, symptoms, and risk factors at intermediate posttest (5.9 [2.6] and 6.2 [2.4]) and at 2 months posttest (5.6 [2.8] and 5.6 [2.7]) compared with pretest (4.8 [2.6] and 4.9 [2.6], respectively). Students also had a higher self-efficacy to seek assistance, which was sustained from pretest to long-term posttest. CONCLUSION: The FAST program improved stroke knowledge that was retained at 2 months.

Pre-Hospital Delay in Acute Ischemic Stroke Care: Current Findings and Future Perspectives in a Tertiary Stroke Center from Romania-A Cross-Sectional Study

Background and objectives: The time interval between stroke onset and hospital arrival is a major barrier for reperfusion therapies in acute ischemic stroke and usually accounts for most of the onset-to-treatment delay. The present study aimed to analyze the pre-hospital delays for patients with acute ischemic stroke admitted to a tertiary stroke center in Romania and to identify the factors associated with a late hospital arrival. Material and methods: The study population consisted of 770 patients hospitalized with the diagnosis of acute ischemic stroke in the University Emergency Hospital Bucharest during a 6-month period, between 1 January and 30 June 2018. Data regarding pre-hospital delays were prospectively collected and analyzed together with the demographic and clinical characteristics of the patients. Results: In total, 31.6% of patients arrived at the hospital within 4.5 h from stroke onset and 4.4% in time intervals between 4.5 and 6 h from the onset, and 28.7% of the patients reached the hospital more than 24 h after onset of symptoms. Transport to hospital by own means was the only factor positively associated with arrival to hospital > 4.5 h from stroke onset and more than doubled the odds of late arrival. Factors negatively associated with hospital arrival > 4.5 h after stroke onset were prior diagnosis of atrial fibrillation, initial National Institute of Health Stroke Scale (NIHSS) score ≥ 16 points, presence of hemianopsia, facial palsy and sensory disturbance. Factors increasing the odds of hospital arrival after 24 h from stroke onset were living alone and living in rural areas. Conclusions: Almost one in three ischemic stroke patients presenting to our center reaches hospital more than 24 h after onset of symptoms. These findings highlight the need for urgent measures to improve not only stroke awareness but also pre-hospital protocols in order to provide timely and appropriate care for our stroke patients.

Delay of routine health care during the COVID-19 pandemic: A qualitative study of individuals’ risk assessment and decision making

Delaying routine health care has been prevalent during the COIVD-19 pandemic. Macro-level data from this period reveals that U.S. patients under-utilized routine health care services such as primary care visits, preventative tests, screenings, routine optometry care, dental appointments, and visits for chronic disease management. Yet, there is a gap in research on how and why patients understand risks associated with seeking or delaying routing health care during an infectious disease pandemic. Our research addresses this gap based on semi-structured interviews with 40 participants living in regions across the United States. By building upon Unger-Saldaña and Infante-Castañeda's model of delayed health care, we extend this model by articulating how health care delays happen during an infectious disease pandemic. Specifically, we show how perceptions of uncertainty and subjective risk assessments shape people's decisions to delay routine health care while they operate at two levels, internal and external to one's social bubble, interacting with each other.

An Analysis of Waiting Time for Emergency Treatment and Optimal Allocation of Nursing Manpower

Objective: Emergency care is the frontline of the healthcare system. Taiwanese typically seek emergency care when suffering from an acute or unknown illness, which leads to a large number of emergency patients and the related misallocation of nursing manpower, and the excessive workloads of emergency service providers have become serious issues for Taiwan’s medical institutions. Participants: This study conducted purposive sampling and recruited patients and nursing staffs from the emergency room of a medical center in New Taipei City as the research participants. Methods: This study applied the queueing theory and the derived optimal model to solve the problems of excessive workloads for emergency service providers and misallocation of nursing manpower, in an attempt to provide decision makers with more flexible resource allocation and process improvement suggestions. Results: This study analyzed the causes of emergency service overload and identified solutions for improving nursing manpower utilization. Conclusions: A wait-time model and the queueing theory were used to determine resource parameters for the optimal allocation of patient waiting times and to develop the best model for estimating nursing manpower.

Leveraging Social Networks for the Assessment and Management of Neurological Patients

Social networks are the persons surrounding a patient who provide support, circulate information, and influence health behaviors. For patients seen by neurologists, social networks are one of the most proximate social determinants of health that are actually accessible to clinicians, compared with wider social forces such as structural inequalities. We can measure social networks and related phenomena of social connection using a growing set of scalable and quantitative tools increasing familiarity with social network effects and mechanisms. This scientific approach is built on decades of neurobiological and psychological research highlighting the impact of the social environment on physical and mental well-being, nervous system structure, and neuro-recovery. Here, we review the biology and psychology of social networks, assessment methods including novel social sensors, and the design of network interventions and social therapeutics.

Qualitative study of Stroke Survivors' Perceptions of Secondary Prevention

AIMS

To understand how survivors of stroke perceive secondary prevention and explore their perceived barriers and facilitators using the Theoretical Domains Framework.

DESIGN

A qualitative descriptive study.

METHODS

Nineteen survivors of stroke from three hospitals were recruited and interviewed from April 2019 to April 2020. The data were analysed deductively and inductively by content analysis strategies.

RESULTS

Three main themes of perception of secondary prevention were identified, these being active treatment-seeking, attention to taking medications and negative attitude towards lifestyle changes. Using deductive analysis, eight domains of the Theoretical Domains Framework were reported to be relevant in the secondary prevention behaviour of survivors of stroke that mapped to five 'barrier' domains (i.e. knowledge, physical skills, beliefs about capability, beliefs about consequences and optimism) as well as six 'facilitator' domains (i.e. knowledge, interpersonal skills, beliefs about capability, intention, emotion and social influences). Using inductive analysis we identified two additional important factors not falling in the domains of the Theoretical Domains Framework. These comprised female spouses' support and patients' economic autonomy, both of which could be classified as a facilitator or barrier.

CONCLUSION

Survivors of stroke perceive seeking treatment and using preventive medication as more important than modifying lifestyle behaviours. Knowledge and insight into the barriers and facilitators of secondary prevention in this specific context provides a theoretical and practical basis for the design of future secondary prevention interventions.

IMPACT

Stroke survivors' perceptions of secondary prevention, barriers and facilitators were explored in the context of a developing country. These findings highlight the need to better communicate the importance of improving lifestyle modification and medication adherence, and provide evidence for designing relevant interventions for stroke management in the community.

The Structure of Social Support in Confidant Networks: Implications for Depression

Social support differs for depressed and non-depressed individuals. However, the structural features of social supports, as represented via social networks and how they are related to depression, and its mitigation, are unclear. Here, we examine associations between personal support network structures and self-reports of depression and depression mitigation behaviors. Cross-sectional data were collected from participants (n = 1002 adults) recruited from a research volunteer website. Personal support networks were elicited by asking participants to nominate up to six people (i.e., confidants) that they talk to about interpersonal problems (e.g., unpleasant social encounters) and to indicate who knows whom among their confidants. Results show that the confidant networks of depressed and non-depressed participants did not differ in network size or in constraint-i.e., the degree to which confidants' ties overlap with the ties of the participant. However, depressed participants' confidants had significantly fewer average ties with one another (mean degree). Irrespective of depression diagnosis, lower network constraint and size predicted greater engagement in depression mitigation behaviors. That is, having relatively large confidant networks within which one can freely navigate one's personal information can contribute to improvement in depressive outcomes. Implications are further discussed in the discussion section.

Cardiac risk stratification in cancer patients: A longitudinal patient-patient network analysis

BACKGROUND

Cardiovascular disease is a leading cause of death in general population and the second leading cause of mortality and morbidity in cancer survivors after recurrent malignancy in the United States. The growing awareness of cancer therapy-related cardiac dysfunction (CTRCD) has led to an emerging field of cardio-oncology; yet, there is limited knowledge on how to predict which patients will experience adverse cardiac outcomes. We aimed to perform unbiased cardiac risk stratification for cancer patients using our large-scale, institutional electronic medical records.

METHODS AND FINDINGS

We built a large longitudinal (up to 22 years' follow-up from March 1997 to January 2019) cardio-oncology cohort having 4,632 cancer patients in Cleveland Clinic with 5 diagnosed cardiac outcomes: atrial fibrillation, coronary artery disease, heart failure, myocardial infarction, and stroke. The entire population includes 84% white Americans and 11% black Americans, and 59% females versus 41% males, with median age of 63 (interquartile range [IQR]: 54 to 71) years old. We utilized a topology-based K-means clustering approach for unbiased patient-patient network analyses of data from general demographics, echocardiogram (over 25,000), lab testing, and cardiac factors (cardiac). We performed hazard ratio (HR) and Kaplan-Meier analyses to identify clinically actionable variables. All confounding factors were adjusted by Cox regression models. We performed random-split and time-split training-test validation for our model. We identified 4 clinically relevant subgroups that are significantly correlated with incidence of cardiac outcomes and mortality. Among the 4 subgroups, subgroup I (n = 625) has the highest risk of de novo CTRCD (28%) with an HR of 3.05 (95% confidence interval (CI) 2.51 to 3.72). Patients in subgroup IV (n = 1,250) had the worst survival probability (HR 4.32, 95% CI 3.82 to 4.88). From longitudinal patient-patient network analyses, the patients in subgroup I had a higher percentage of de novo CTRCD and a worse mortality within 5 years after the initiation of cancer therapies compared to long-time exposure (6 to 20 years). Using clinical variable network analyses, we identified that serum levels of NT-proB-type Natriuretic Peptide (NT-proBNP) and Troponin T are significantly correlated with patient's mortality (NT-proBNP > 900 pg/mL versus NT-proBNP = 0 to 125 pg/mL, HR = 2.95, 95% CI 2.28 to 3.82, p < 0.001; Troponin T > 0.05 μg/L versus Troponin T ≤ 0.01 μg/L, HR = 2.08, 95% CI 1.83 to 2.34, p < 0.001). Study limitations include lack of independent cardio-oncology cohorts from different healthcare systems to evaluate the generalizability of the models. Meanwhile, the confounding factors, such as multiple medication usages, may influence the findings.

CONCLUSIONS

In this study, we demonstrated that the patient-patient network clustering methodology is clinically intuitive, and it allows more rapid identification of cancer survivors that are at greater risk of cardiac dysfunction. We believed that this study holds great promise for identifying novel cardiac risk subgroups and clinically actionable variables for the development of precision cardio-oncology.

From Three-Months to Five-Years: Sustaining Long-Term Benefits of Endovascular Therapy for Ischemic Stroke

Background and Purpose: During the months and years post-stroke, treatment benefits from endovascular therapy (EVT) may be magnified by disability-related differences in morbidity/mortality or may be eroded by recurrent strokes and non-stroke-related disability/mortality. Understanding the extent to which EVT benefits may be sustained at 5 years, and the factors influencing this outcome, may help us better promote the sustenance of EVT benefits until 5 years post-stroke and beyond.

Methods: In this review, undertaken 5 years after EVT became the standard of care, we searched PubMed and EMBASE to examine the current state of the literature on 5-year post-stroke outcomes, with particular attention to modifiable factors that influence outcomes between 3 months and 5 years post-EVT.

Results: Prospective cohorts and follow-up data from EVT trials indicate that 3-month EVT benefits will likely translate into lower 5-year disability, mortality, institutionalization, and care costs and higher quality of life. However, these group-level data by no means guarantee maintenance of 3-month benefits for individual patients. We identify factors and associated “action items” for stroke teams/systems at three specific levels (medical care, individual psychosocioeconomic, and larger societal/environmental levels) that influence the long-term EVT outcome of a patient. Medical action items include optimizing stroke rehabilitation, clinical follow-up, secondary stroke prevention, infection prevention/control, and post-stroke depression care. Psychosocioeconomic aspects include addressing access to primary care, specialist clinics, and rehabilitation; affordability of healthy lifestyle choices and preventative therapies; and optimization of family/social support and return-to-work options. High-level societal efforts include improving accessibility of public/private spaces and transportation, empowering/engaging persons with disability in society, and investing in treatments/technologies to mitigate consequences of post-stroke disability.

Conclusions: In the longtime horizon from 3 months to 5 years, several factors in the medical and societal spheres could negate EVT benefits. However, many factors can be leveraged to preserve or magnify treatment benefits, with opportunities to share responsibility with widening circles of care around the patient.

Telerehabilitation of Post-Stroke Patients as a Therapeutic Solution in the Era of the Covid-19 Pandemic

(1) Background: Due to the pandemic caused by the SARS-CoV-2 virus, rehabilitation centres have become less available for neurological patients. This is the result of efforts to physically distance society, to try to slow the spread of the pathogen. Health care facilities were mainly restricted to urgent cases, while most physiotherapy treatments, mainly for patients with chronic conditions, were suspended. Some countries have seen a reduction in acute stroke hospital admissions of from 50% to 80%. One solution to the above problem is the use of telerehabilitation in the home environment as an alternative to inpatient rehabilitation. (2) Aim of the study: The purpose of this review is to analyse the benefits and limitations of teletherapy in relation to the functional condition of post-stroke patients. (3) Methods: Selected publications from 2019 to 2021 on the telerehabilitation of stroke patients were reviewed. The review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist. (4) Results: Studies have proven that teletherapy significantly improves the functional condition of post-stroke patients, resulting in improved quality of life and faster return to independence (while maintaining maximum possible precautions related to the SARS-CoV-2 virus pandemic). (5) Conclusions: Analysis of the study results showed comparable effectiveness of rehabilitation in the tele system to inpatient therapy. However, it should be emphasised that patients undergoing telerehabilitation must meet strict conditions to be eligible for this type of treatment program. However, the strength of the evidence itself supporting the effectiveness of this method ranks low due to the limited number of randomised control trials (RCT), small number of participants, and heterogeneous trials.

Associations of social network structure with cognition and amygdala volume in multiple sclerosis: An exploratory investigation

BACKGROUND

Humans are inherently social, biologically programmed to connect with others. Social connections are known to impact mental and physical health.

OBJECTIVE

The aim of this study was to test whether social network structure is linked to cognition, mood, fatigue, and regional brain volumes in persons with multiple sclerosis (MS).

METHODS

A questionnaire quantifying individual-level social network structure (size, density, effective size, and constraint), a comprehensive battery of neuropsychological tests, and magnetic resonance imaging (MRI) was administered to 51 persons with relapsing-remitting MS. Linear regressions assessed associations of network variables to cognition, depression, fatigue, and structural brain volumes.

RESULTS

Higher network density and constraint, indicating stronger connections among network members, were associated with worse language functions. Conversely, larger network effective size, a measure of non-redundant network members, was associated with better language functions. No relationships of network structure to depression or fatigue were found. Larger network size was related to larger amygdala volume.

CONCLUSION

Findings suggest that social network structure is linked to language function and amygdala volume in persons with MS. Patients with close-knit networks showed worse language function than those with open networks. Longitudinal studies with larger samples are warranted to evaluate potential causal links between social network structure and MS-related cognitive impairment.

HNF1A regulates colorectal cancer progression and drug resistance as a downstream of POU5F1

POU5F1-expressing cells can self-renew and differentiate, contributing to metastasis formation in colorectal cancer (CRC), but it plays an important role in normal pluripotent stem cells. Here, we identified the CRC-specific gene, HNF1A, which is the downstream of POU5F1. HNF1A associates with fatty acid and glucose metabolism, and CRC cells highly expressed it. In 198 CRC patients, high HNF1A expression was an independent predictor of disease-free (P = 0.031) and overall (P = 0.007) survival. HNF1A-knockdown showed significantly reduced cell growth, increased apoptosis, and improved anticancer drug sensitivity. We revealed that HNF1A regulated controlled GLUT1 expression via HIF1A and multidrug resistance protein function to suppress SRI. HNF1A expression was elevated in persister cells after exposure to anticancer drugs, and anticancer drug sensitivity was also improved in persister cells via the inhibition of HNF1A. In conclusion, HNF1A expression can reflect resistance to anticancer drug treatment, and its suppression improves anticancer drug sensitivity as a new therapeutic target.

Social Network Structure Is Related to Functional Improvement From Home-Based Telerehabilitation After Stroke

Objective: Telerehabilitation (TR) is now, in the context of COVID-19, more clinically relevant than ever as a major source of outpatient care. The social network of a patient is a critical yet understudied factor in the success of TR that may influence both engagement in therapy programs and post-stroke outcomes. We designed a 12-week home-based TR program for stroke patients and evaluated which social factors might be related to motor gains and reduced depressive symptoms. Methods: Stroke patients (n = 13) with arm motor deficits underwent supervised home-based TR for 12 weeks with routine assessments of motor function and mood. At the 6-week midpoint, we mapped each patient's personal social network and evaluated relationships between social network metrics and functional improvements from TR. Finally, we compared social networks of TR patients with a historical cohort of 176 stroke patients who did not receive any TR to identify social network differences. Results: Both network size and network density were related to walk time improvement (p = 0.025; p = 0.003). Social network density was related to arm motor gains (p = 0.003). Social network size was related to reduced depressive symptoms (p = 0.015). TR patient networks were larger (p = 0.012) and less dense (p = 0.046) than historical stroke control networks. Conclusions: Social network structure is positively related to improvement in motor status and mood from TR. TR patients had larger and more open social networks than stroke patients who did not receive TR. Understanding how social networks intersect with TR outcomes is crucial to maximize effects of virtual rehabilitation.

Social network structure and composition in former NFL football players

Social networks have broad effects on health and quality of life. Biopsychosocial factors may also modify the effects of brain trauma on clinical and pathological outcomes. However, social network characterization is missing in studies of contact sports athletes. Here, we characterized the personal social networks of former National Football League players compared to non-football US males. In 303 former football players and 269 US males, we found that network structure (e.g., network size) did not differ, but network composition (e.g., proportion of family versus friends) did differ. Football players had more men than women, and more friends than family in their networks compared to US males. Black players had more racially diverse networks than White players and US males. These results are unexpected because brain trauma and chronic illnesses typically cause diminished social relationships. We anticipate our study will inform more multi-dimensional study of, and treatment options for, contact sports athletes. For example, the strong allegiances of former athletes may be harnessed in the form of social network interventions after brain trauma. Because preserving health of contact sports athletes is a major goal, the study of social networks is critical to the design of future research and treatment trials.

Slump in Hospital Admissions for Stroke, a Fact of an Uncertain Nature That Requires Explanation

(1) Background: The impact of the health crisis caused by coronavirus disease 2019 (COVID-19) has provoked collateral effects in the attention to pathologies with time-dependent treatments such as strokes. We compare the healthcare activity of two stroke units in the same periods of 2019 and 2020, with an emphasis on what happened during the state of alarm (SA). (2) Materials and methods. Hospitals in the region implemented contingency plans to contain the pandemic; in this planning, the stroke units were not limited in their operational capacity. The SA was declared on 15 March and remained in place for 10 weeks. For the analysis, the data were grouped by consecutive calendar weeks. (3) Results. When the SA was declared the number of calls to the emergency telephone went from 1225 to 3908 calls per week (318% increase). However, the activation of the stroke code went from 6.6 to 5.0 (p = 0.04) and the activity in both stroke units decreased. The largest drop in hospitalizations was for transient ischemic attacks (TIAs) with 35.7% less, 28 vs. 18, (p = 0.05). Reperfusion therapies fell by 37.5%; Poisson regression model 0.64; (95% confidence interval (CI), 0.43–0.95). The overall activity of the telestroke suffered a reduction of 28.9%. We also observed an increase in hospital mortality. (4) Conclusion. The excessive duration of the pandemic precludes any hope of resolving this public health crisis in the short or medium term. Further studies should be conducted to better understand the multifactorial nature of this dramatic decline in stroke admissions and its negative impact.

Impact of COVID-19 on hospital admission of acute stroke patients in Bangladesh

BACKGROUND

With the proposed pathophysiologic mechanism of neurologic injury by SARS CoV-2, the frequency of stroke and henceforth the related hospital admissions were expected to rise. This paper investigated this presumption by comparing the frequency of admissions of stroke cases in Bangladesh before and during the pandemic.

METHODS

This is a retrospective analysis of stroke admissions in a 100-bed stroke unit at the National Institute of Neurosciences and Hospital (NINS&H) which is considerably a large stroke unit. All the admitted cases from 1 January to 30 June 2020 were considered. Poisson regression models were used to determine whether statistically significant changes in admission rates can be found before and after 25 March since when there is a surge in COVID-19 infections.

RESULTS

A total of 1394 stroke patients took admission in the stroke unit during the study period. Half of the patients were older than 60 years, whereas only 2.6% were 30 years old or younger. The male to female ratio is 1.06:1. From January to March 2020, the mean rate of admission was 302.3 cases per month, which dropped to 162.3 cases per month from April to June, with an overall reduction of 46.3% in acute stroke admission per month. In those two periods, reductions in average admission per month for ischemic stroke (IST), intracerebral hemorrhage (ICH), subarachnoid hemorrhage (SAH) and venous stroke (VS) were 45.5%, 37.2%, 71.4% and 39.0%, respectively. Based on weekly data, results of Poisson regressions confirm that the average number of admissions per week dropped significantly during the last three months of the sample period. Further, in the first three months, a total of 22 cases of hyperacute stroke management were done, whereas, in the last three months, there was an 86.4% reduction in the number of hyperacute stroke patients getting reperfusion treatment. Only 38 patients (2.7%) were later found to be RT-PCR SARS Cov-2 positive based on nasal swab testing.

CONCLUSION

This study revealed a more than fifty percent reduction in acute stroke admission during the COVID-19 pandemic. Whether the reduction is related to the fear of getting infected by COVID-19 from hospitalization or the overall restriction on public movement or stay-home measures remains unknown.

Excess Cerebrovascular Mortality in the United States During the COVID-19 Pandemic

Supplemental Digital Content is available in the text.

The magnitude and drivers of excess cerebrovascular-specific mortality during the coronavirus disease 2019 (COVID-19) pandemic are unknown. We aim to quantify excess stroke-related deaths and characterize its association with social distancing behavior and COVID-19–related vascular pathology.

Influence of Living Alone or with a Spouse Only on the Short-Term Prognosis in Patients after an Acute Ischemic Stroke

Background—This study aimed to explore whether living alone or with a spouse only affects the short-term prognosis of acute ischemic stroke patients. Methods—We conducted a retrospective cohort study of patients with a diagnosis of acute ischemic stroke from April 2014 to February 2019 in Japan. The primary outcome was defined as worsening by at least one grade on the modified Rankin Scale (mRS). The secondary outcome was set as the degree of worsening on the mRS. The outcomes were compared between three groups of patients: (1) those living alone (ALONE), (2) those living with their spouse only (SPOUSE), and (3) OTHERs. Results—In total, 365 patients were included in this study: 111 (30%) ALONE, 133 (36%) SPOUSE, and 121 (33%) OTHERs. Cardiogenic embolisms were observed more frequently in ALONE than in OTHERs. The primary outcome occurred in 88 (79.3%) patients in ALONE and in 96 (72.2%) patients in SPOUSE, both of which were higher than the 72 (59.5%) in OTHERs. After adjusting with 19 variables, the risk of worsening was higher in ALONE (odds ratio (OR): 2.90, 95% confidence interval (CI): 1.50–5.58) and SPOUSE (OR: 1.83, 95% CI: 1.00–3.33) compared with OTHERs. Conclusions—In patients with acute ischemic stroke, not only living alone but also living with a spouse only may be associated with a worse short-term prognosis, independent of other cardiovascular risks.

Head-to-Head Comparison of Social Network Assessments in Stroke Survivors

Background and Purpose

Social networks influence human health and disease through direct biological and indirect psychosocial mechanisms. They have particular importance in neurologic disease because of support, information, and healthy behavior adoption that circulate in networks. Investigations into social networks as determinants of disease risk and health outcomes have historically relied on summary indices of social support, such as the Lubben Social Network Scale-Revised (LSNS-R) or the Stroke Social Network Scale (SSNS). We compared these 2 survey tools to personal network (PERSNET) mapping tool, a novel social network survey that facilitates detailed mapping of social network structure, extraction of quantitative network structural parameters, and characterization of the demographic and health parameters of each network member.

Methods

In a cohort of inpatient and outpatient stroke survivors, we administered LSNS-R, SSNS, and PERSNET in a randomized order to each patient. We used logistic regression to generate correlation matrices between LSNS-R scores, SSNS scores, and PERSNET's network structure (eg, size and density) and composition metrics (eg, percent kin in network). We also examined the relationship between LSNS-R-derived risk of social isolation with PERSNET-derived network size.

Results

We analyzed survey responses for 67 participants and found a significant correlation between LSNS-R, SSNS, and PERSNET-derived indices of network structure. We found no correlation between LSNS-R, SSNS, and PERSNET-derived metrics of network composition. Personal network mapping tool structural and compositional variables were also internally correlated. Social isolation defined by LSNS-R corresponded to a network size of <5.

Conclusions

Personal network mapping tool is a valid index of social network structure, with a significant correlation to validated indices of perceived social support. Personal network mapping tool also captures a novel range of health behavioral data that have not been well characterized by previous network surveys. Therefore, PERSNET offers a comprehensive social network assessment with visualization capabilities that quantifies the social environment in a valid and unique manner.

Association of social network structure and physical function in patients with multiple sclerosis

OBJECTIVE

To test the association between physical function and the social environment in multiple sclerosis (MS), we quantified personal social networks.

METHODS

In this cross-sectional study, we analyzed data from 2 academic MS centers, with center 1 serving as a discovery group and center 2 as the extension group. We performed a meta-analysis of the centers to extend the analysis. We used responses from a questionnaire to map the structure and health habits of participants' social networks as well as the NIH Patient-Reported Outcomes Measurement Information System (PROMIS) physical function scale (0-100, mean 50 for US general population) as the primary outcome. We applied multivariable models to test the association between network metrics and physical function.

RESULTS

The discovery cohort included 263 patients with MS: 81% were women, 96% non-Hispanic European, 78% had relapsing MS, average age was 50 (12.4) years, and mean disease duration was 17 (12.3) years. The extension group included 163 patients, who were younger, more racially diverse, and less physically disabled, and had shorter disease duration. In the meta-analysis, higher network constraint, a measure of tightly bound networks, was associated with worse physical function (β = -0.163 ± 0.047, p < 0.001), while larger network effective size, a measure of clustered groups in the network, correlated with better physical function (β = 0.134 ± 0.046, p = 0.003).

CONCLUSIONS

Our study highlights personal networks as an important environmental factor associated with physical function in MS. Patients with close-knit networks had worse function than those with more open networks. Longitudinal studies are warranted to evaluate a causal relationship between network structure and physical impairment.

Understanding the seriousness of a stroke is essential for appropriate help-seeking and early arrival at a stroke centre: A cross-sectional study of stroke patients and their bystanders

Introduction

Only a minority of patients with acute ischaemic stroke receive reperfusion treatment, primarily due to prehospital delay. We aimed to investigate predictors of a primary contact to the emergency medical services, arrival at stroke centre within 3 h of symptom onset and initiation of reperfusion therapy in patients with acute stroke.

Patients and methods

We conducted a cross-sectional study of consecutive patients with acute ischaemic stroke, intracerebral haemorrhage or transient ischaemic attack. Structured interviews of patients and bystanders were performed and combined with clinical information from the Danish Stroke Registry. Eligible patients were aged ≥18 years and were independent in activities of daily living before the stroke.

Results

We included 435 patients. Presence of a bystander at symptom onset and knowledge of ≥2 core symptoms of stroke were associated with a primary emergency medical services contact. Higher stroke severity and patients or bystanders perceiving the situation as very serious were associated with a primary emergency medical services contact (OR_patients 2.10; 95% CI 1.12-3.95 and OR_bystanders 22.60; 95% CI 4.98-102.67), <3 h from onset to arrival (OR_patients 3.01; 95% CI 1.46-6.21 and OR_bystanders 4.44; 95% CI 1.37-14.39) and initiation of reperfusion therapy (OR_patients 3.08; 95% CI 1.23-7.75 and OR_bystanders 4.70; 95% CI 1.14-19.5).Conclusion: Having a bystander, knowledge of ≥2 core symptoms and understanding that stroke is a serious event are associated with appropriate help-seeking behaviour, shorter prehospital delay and higher chance of reperfusion therapy in acute stroke patients.

Acute Stroke in Times of the COVID-19 Pandemic: A Multicenter Study

BACKGROUND AND PURPOSE

This study aims to assess the number of patients with acute ischemic cerebrovascular events seeking in-patient medical emergency care since the implementation of social distancing measures in the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

In this retrospective multicenter study, data on the number of hospital admissions due to acute ischemic stroke or transient ischemic attack and numbers of reperfusion therapies performed in weeks 1 to 15 of 2020 and 2019 were collected in 4 German academic stroke centers. Poisson regression was used to test for a change in admission rates before and after the implementation of extensive social distancing measures in week 12 of 2020. The analysis of anonymized regional mobility data allowed for correlations between changes in public mobility as measured by the number and length of trips taken and hospital admission for stroke/transient ischemic attack.

RESULTS

Only little variation of admission rates was observed before and after week 11 in 2019 and between the weeks 1 and 11 of 2019 and 2020. However, reflecting the impact of the COVID-19 pandemic, a significant decrease in the number of admissions for transient ischemic attack was observed (-85%, -46%, -42%) in 3 of 4 centers, while in 2 of 4 centers, stroke admission rates decreased significantly by 40% and 46% after week 12 in 2020. A relevant effect on reperfusion therapies was found for 1 center only (thrombolysis, -60%; thrombectomy, -61%). Positive correlations between number of ischemic events and mobility measures in the corresponding cities were identified for 3 of 4 centers.

CONCLUSIONS

These data demonstrate and quantify decreasing hospital admissions due to ischemic cerebrovascular events and suggest that this may be a consequence of social distancing measures, in particular because hospital resources for acute stroke care were not limited during this period. Hence, raising public awareness is necessary to avoid serious healthcare and economic consequences of undiagnosed and untreated strokes and transient ischemic attacks.

Social Network Mapping and Functional Recovery Within 6 Months of Ischemic Stroke

Objective. Stroke recovery is a multidimensional process influenced by biological and psychosocial factors. To understand the latter, we mapped the social networks of stroke patients, analyzing their changes and effects on physical function at 3 and 6 months after stroke. Methods. We used a quantitative social network assessment tool to map the structure and health habits embedded in patients' personal social networks. The physical function outcome was determined using the National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function Scale (0-100, mean 50 for US general population). We used mixed-effects models to assess changes in social network metrics. We used multivariable models to test the association between social networks and physical function, independent of demographics, socioeconomic status, clinical characteristics, comorbidities, cognition, and depression. Results. The cohort consisted of 172 patients, with mostly mild motor-predominant stroke (median NIH Stroke Scale of 2) with retention of 149 at 3 months and 139 at 6 months. An average patient's network over 6 months contracted by 1.25 people and became denser and family oriented. Network composition also became healthier with pruning of ties with people who smoked or did not exercise. The baseline network size, and not density or health habits in the network, was independently associated with 3- and 6-month physical function PROMIS scores. Patients embedded in small kin-based networks reported more negative social interactions. Conclusions. Despite social networks becoming smaller and close-knit after stroke, they also become healthier. Larger baseline social networks are independently associated with better patient-reported physical function after stroke.