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Recent advances and mechanistic insights of non-invasive brain stimulation in post-stroke dysphagia rehabilitation 非侵入性脑刺激在脑卒中后吞咽困难康复中的最新进展和机制见解
IF 1.8 4区 医学 Q3 NEUROSCIENCES Pub Date : 2026-01-26 DOI: 10.1016/j.jstrokecerebrovasdis.2026.108576
En-li Jiang , Qi-zu Jin , Qing-yun Zhang , Ri-bo Peng , Hai-bo Ai

Background

Post-stroke dysphagia (PSD) affects nearly half of stroke survivors and is associated with aspiration pneumonia, malnutrition, and increased mortality. Conventional swallowing rehabilitation often yields limited functional recovery. In recent years, non-invasive brain stimulation (NIBS), particularly repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS), has emerged as a promising adjunctive therapy for promoting neuroplasticity and improving swallowing function in patients with PSD.

Methods

This structured narrative review summarizes current clinical evidence on the application of rTMS and tDCS in PSD rehabilitation. A literature search was conducted in PubMed, Web of Science, CNKI, and the Cochrane Library from database inception to August 31, 2025. Randomized controlled trials evaluating the effects of rTMS or tDCS on swallowing-related outcomes in patients with PSD were included and narratively synthesized according to stimulation modality, target site, and clinical efficacy.

Results

Across the included studies, both rTMS and tDCS significantly improved swallowing function compared with sham stimulation or conventional therapy alone, with good safety and tolerability. Therapeutic benefits were observed using various stimulation protocols, including high-frequency rTMS applied to the affected hemisphere, low-frequency rTMS applied to the unaffected hemisphere, and anodal tDCS delivered to the affected, unaffected, or bilateral hemispheres. However, stimulation parameters and target selection varied widely across studies, and no direct comparisons between rTMS and tDCS or combined-stimulation trials were identified.

Conclusions

Current evidence supports rTMS and tDCS as effective, safe, and feasible adjuncts to conventional rehabilitation for post-stroke dysphagia. Nevertheless, heterogeneity in study design and outcome measures limits protocol standardization. Future large-scale, multimodal studies incorporating neuroimaging and guided by the bimodal balance–recovery model are warranted to optimize stimulation strategies and further elucidate the mechanisms underlying cortical reorganization in PSD recovery.
卒中后吞咽困难(PSD)影响了近一半的卒中幸存者,并与吸入性肺炎、营养不良和死亡率增加有关。传统的吞咽康复往往只能产生有限的功能恢复。近年来,非侵入性脑刺激(NIBS),特别是重复性经颅磁刺激(rTMS)和经颅直流电刺激(tDCS)已成为一种很有前景的辅助治疗,可促进PSD患者的神经可塑性和改善吞咽功能。方法对rTMS和tDCS在ptsd康复中的临床应用进行综述。检索PubMed、Web of Science、CNKI和Cochrane Library从数据库建立到2025年8月31日的文献。纳入评估rTMS或tDCS对PSD患者吞咽相关结局影响的随机对照试验,并根据刺激方式、靶部位和临床疗效进行叙述性综合。结果在纳入的研究中,与假刺激或常规治疗相比,rTMS和tDCS均能显著改善吞咽功能,且具有良好的安全性和耐受性。通过各种刺激方案观察到治疗效果,包括将高频rTMS应用于受影响的半球,将低频rTMS应用于未受影响的半球,将阳极tDCS应用于受影响的半球,未受影响的半球或双侧半球。然而,刺激参数和目标选择在不同的研究中差异很大,没有发现rTMS和tDCS或联合刺激试验之间的直接比较。结论目前的证据支持rTMS和tDCS是脑卒中后吞咽困难常规康复的有效、安全、可行的辅助手段。然而,研究设计和结果测量的异质性限制了方案的标准化。未来,在双峰平衡恢复模型的指导下,结合神经影像学的大规模、多模态研究有必要优化刺激策略,并进一步阐明PSD恢复过程中皮层重组的机制。
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引用次数: 0
Fibrinogen replacement to prevent intracranial hemorrhage in ischemic stroke patients after thrombolysis – a prospective randomized open blinded endpoint trial (FibER): rationale and methods 纤维蛋白原替代预防缺血性脑卒中患者溶栓后颅内出血——一项前瞻性随机开放盲法终点试验(FibER):理论基础和方法
IF 1.8 4区 医学 Q3 NEUROSCIENCES Pub Date : 2026-01-23 DOI: 10.1016/j.jstrokecerebrovasdis.2026.108572
Andrea Zini , Laura Vandelli , Stefano Forlivesi , Elena Merli , Ludovica Migliaccio , Luana Gentile , Michele Romoli , Flavia Baccari , Mario Sebastiani , Francesco Nonino , Sabina Cevoli , Guido Bigliardi

Rationale

Fibrinogen depletion happens soon after intravenous thrombolysis (IVT) for acute ischemic stroke, in relation to the suboptimal affinity of recombinant tissue plasminogen activator (rtPA) to thrombus fibrin. Fibrinogen depletion carries a 4-fold increase in risk of bleeding after IVT.

Aim

FibER will determine if early fibrinogen repletion through intravenous infusion of fibrinogen (2 g) in case of fibrinogen depletion is safe and can prevent bleeding after IVT.

Sample size estimates

The sample size was calculated assuming a combined rate of parenchymal hematoma at the CT scan in the treated group of 3% versus a 14% rate in the control group, for an overall absolute difference of 11%. Considering such a difference among groups, a 1:1 allocation of treatment will provide 100 patients per group to reach an 80% power to detect a statistically significant difference (p<0.05).

Methods and design

Two-center phase 3 prospective randomized open blinded endpoint (PROBE) trial. Fibrinogen depletion is defined as a decrease of serum fibrinogen level <200 mg/dl and/or a decrease of >50% from baseline level after 2 and/or 6 hours from IVT. Patients will be randomized to receive fibrinogen infusion (2 g) versus no fibrinogen infusion at the moment of fibrinogen depletion identification.

Study outcomes

The primary outcome is intracranial hemorrhage, defined as parenchymal hematoma after 24 hours and 7 days from IVT. Subgroup analysis according to the severity of fibrinogen depletion is planned. Secondary outcomes will include: symptomatic intracerebral hemorrhage, extracranial bleeding of any type, NIHSS at baseline and after 7 days, modified Rankin Scale at 3 months, serious thromboembolic adverse events (including deep vein thrombosis, pulmonary embolism, myocardial infarct, recurrence of ischemic stroke, major cardiovascular events), and prevalence of hyperfibrinolysis (ROTEM-based definition).

Discussion

FibER will determine if early fibrinogen repletion is safe during acute ischemic stroke and prevent bleeding in patients with fibrinogen depletion after IVT for acute ischemic stroke (registered with US National Library of Medicine NCT05300672 and Eudra-CT 2020-005242-41).
理论依据:急性缺血性卒中静脉溶栓(IVT)治疗后,纤维蛋白原消耗很快发生,这与重组组织型纤溶酶原激活剂(rtPA)对血栓纤维蛋白的亲和力不佳有关。纤维蛋白原耗竭会使IVT后出血风险增加4倍。目的:通过静脉输注纤维蛋白原(2g),在纤维蛋白原耗尽的情况下,确定早期纤维蛋白原补充是否安全,是否能预防IVT后出血。样本量估计:样本量的计算假设治疗组CT扫描的实质血肿合并率为3%,对照组为14%,总体绝对差为11%。考虑到组间的差异,1:1的治疗分配将为每组提供100例患者,以达到80%的检测统计学显著差异的能力(方法和设计:两中心3期前瞻性随机开放盲法终点(PROBE)试验)。纤维蛋白原消耗定义为静脉注射后2和/或6小时血清纤维蛋白原水平较基线水平下降50%。患者将被随机分配接受纤维蛋白原输注(2g)和不输注纤维蛋白原在纤维蛋白原耗尽的时刻。研究结果:主要结果为颅内出血,定义为IVT后24小时和7天的实质血肿。计划根据纤维蛋白原耗竭的严重程度进行亚组分析。次要结局将包括:有症状的脑出血、任何类型的颅外出血、基线和7天后的NIHSS、3个月时的改良Rankin量表、严重的血栓栓塞不良事件(包括深静脉血栓形成、肺栓塞、心肌梗死、缺血性卒中复发、主要心血管事件)和高纤溶的患病率(基于rotem的定义)。讨论:FibER将确定急性缺血性卒中期间早期纤维蛋白原补充是否安全,并预防急性缺血性卒中IVT后纤维蛋白原消耗患者出血(已在美国国家医学图书馆NCT05300672和Eudra-CT 2020-005242-41注册)。
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引用次数: 0
Factors associated with in-hospital case fatality following spontaneous intracerebral hemorrhage among young ghanaians: findings from a hospital-based stroke registry 加纳年轻人自发性脑出血后住院病死率相关因素:来自医院卒中登记的发现
IF 1.8 4区 医学 Q3 NEUROSCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.jstrokecerebrovasdis.2026.108568
Priscilla Abrafi Opare-Addo MD, MSCR , Fred Stephen Sarfo MD, PhD, PhD , Minas Aikins MD , Serwaa Asare-Bediako MD , Adwoa Agyemang Adu-Gyamfi MD , Nessya Taylor MD , Emmanuella Naa Ayerki Nartey MD , Maxwell Nyenaah BSc , Jessey Mahama Holu BSc , Samuel Kekeli MPhil , Christian Obirikorang PhD , Francis Agyemang-Yeboah PhD

Background

The incidence of spontaneous Intracerebral Hemorrhage (sICH) in Low-Middle-Income Countries (LMICs) has risen steeply over the past decade, with a relatively earlier age of onset and higher rates of adverse outcomes compared to the rest of the world.

Aim

To determine the factors associated with in-hospital case fatality among patients aged ≤ 50 years with spontaneous Intracerebral Hemorrhage, admitted to a Ghanaian tertiary Hospital.

Methods

We conducted a prospective cohort study among individuals aged 18-50 years admitted with Intracerebral Hemorrhage to Komfo Anokye Teaching Hospital over 2 years, from 2022 to 2023. Multivariable Logistic regression was performed to determine the factors associated with ICH-related case fatality during hospital admission. Survival was compared across categories of explanatory variables using the Kaplan-Meier curve. Predictors of time to death were identified using the Cox regression model.

Results

46.2% (190 out of 411) of all ICH cases were aged ≤ 50 years, with the majority (63.7%) of those affected in this age group being male. The overall case fatality rate among hospitalized patients in this age group was 27.4% (52 out of 190). The factors independently associated with in-hospital case fatality were the presence of aspiration pneumonia (aOR 6.00 (2.47-15.46), p=0.000), NIHSS score at the time of admission (aOR 1.16 (1.08-1.24), p=0.000), and the presence of neuroimaging features of raised intracranial pressure (aOR 2.66 (1.04-7.00), p=0.044). Independent predictors of time to death included the presence of aspiration pneumonia (aOR 3.51 (1.44-8.55), p=0.004) and NIHSS score (aOR 1.07 (1.01-1.13), p=1.27e-08).

Conclusions

Up to 1 in 4 young Ghanaian patients succumb to spontaneous ICH during hospitalization. Prevention, prompt detection, and management of complications, notably aspiration pneumonia during the acute phase of admission, may significantly reduce ICH-related mortality among young individuals in our setting.
背景:在过去十年中,中低收入国家(LMICs)自发性脑出血(sICH)的发病率急剧上升,与世界其他地区相比,自发性脑出血的发病年龄相对较早,不良后果发生率较高。目的:探讨加纳某三级医院收治的年龄≤50岁自发性脑出血患者住院病死率的相关因素。方法:从2022年到2023年,我们在Komfo Anokye教学医院进行了一项为期2年的18-50岁脑出血患者的前瞻性队列研究。采用多变量Logistic分析确定住院期间与脑出血相关病死率相关的因素。使用Kaplan-Meier曲线比较不同类别解释变量的生存率。使用Cox回归模型确定死亡时间的预测因子。结果:411例脑出血患者中46.2%(190例)年龄≤50岁,其中男性占63.7%。该年龄组住院患者的总病死率为27.4%(190人中有52人)。与住院病死率独立相关的因素为吸入性肺炎(aOR 6.00 (2.47 ~ 15.46), p=0.000)、入院时NIHSS评分(aOR 1.16 (1.08 ~ 1.24), p=0.000)、颅内压升高的神经影像学特征(aOR 2.66 (1.04 ~ 7.00), p=0.044)。死亡时间的独立预测因子包括吸入性肺炎(aOR 3.51 (1.44-8.55), p=0.004)和NIHSS评分(aOR 1.07 (1.01-1.13), p=1.27e-08)。结论:高达1 / 4的加纳年轻患者在住院期间死于自发性脑出血。预防、及时发现和处理并发症,特别是入院急性期的吸入性肺炎,可以显著降低我们研究环境中年轻人与ich相关的死亡率。
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引用次数: 0
Early insights from a multi-centre national stroke surveillance initiative in Tanzania 坦桑尼亚多中心国家卒中监测倡议的早期见解。
IF 1.8 4区 医学 Q3 NEUROSCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.jstrokecerebrovasdis.2026.108571
Sarah Shali Matuja , Azan Nyundo , Emmanuel Assey , Joel Bwelemo , Marieke Dekker , Sarah Urasa , Emanuel Makarius , Peter Kishimbo , Yudathadei Baltazar , Baraka Alphonce , Joshua Ngimbwa , Philip Adebayo , Sipora Siha , Anney Chagula , Mary Libena , Theresia Lutufyo , Mohamed A Mnacho , Faraja S Chiwanga , Kigocha Okeng’o , Brighton Mushengezi , William Matuja

Background

Stroke is a leading cause of death and disability globally, with sub-Saharan Africa, bearing the greatest burden. Tanzania has only one active stroke registry, limiting evidence-based care and policy development. We aimed to expand the registry into a multi-centre study across eight major tertiary hospitals to generate baseline data for a national stroke registry.

Methods

From January to August 2024, we analysed de-identified data from adults (≥18 years) admitted with a World Health Organisation defined stroke. Data collected included demographics, risk factors, imaging, and in-hospital mortality. Logistic regression identified predictors of mortality.

Results

A total of 1000 patients were registered with a mean age 60.2±15 years and 56.2% (562/1000) were females. Most strokes occurred in those aged 50-69 years 46.3% (463/1000). Hypertension was the most common risk factor 90.1% (901/1000), followed by diabetes 13.1% (131/1000), prior stroke 10.6% (106/1000) and HIV infection 3.5% (35/1000). Haemorrhagic and ischaemic strokes accounted for 57.9% (579/1000) and 38.3% (383/1000) of cases, respectively; and 5% (19/383) of ischaemic strokes presented within 4.5 h from symptom onset. In-hospital mortality was 31.5% (315/1000), highest among patients aged 50–59 years (23.2%). Independent predictors of mortality included previous cardiac disease (aOR 2.15; 95% CI: 1.18–3.94) and haemorrhagic stroke (aOR 1.38; 95% CI: 1.12–2.02).

Conclusions

Stroke imposes a high burden in Tanzania, with substantial mortality and delayed presentation. Strengthening hypertension control, early stroke recognition, and organized stroke unit care are critical priorities. These findings provide foundational data for the national stroke surveillance initiative and support evidence-based planning for stroke prevention, acute care, and system readiness across Tanzania.
背景:中风是全球死亡和残疾的主要原因,其中撒哈拉以南非洲负担最重。坦桑尼亚只有一个有效的中风登记,限制了循证护理和政策制定。我们的目标是将登记扩展为跨八家主要三级医院的多中心研究,为国家卒中登记生成基线数据。方法:从2024年1月至8月,我们分析了来自世界卫生组织定义的卒中入院的成年人(≥18岁)的去识别数据。收集的数据包括人口统计学、危险因素、影像学和住院死亡率。逻辑回归确定了死亡率的预测因素。结果:共登记患者1000例,平均年龄60.2±15岁,56.2%(562/1000)为女性。以50 ~ 69岁者居多,占46.3%(463/1000)。高血压是最常见的危险因素,占90.1%(901/1000),其次是糖尿病13.1%(131/1000),既往中风10.6% (106/1000),HIV感染3.5%(35/1000)。出血性卒中和缺血性卒中分别占57.9%(579/1000)和38.3% (383/1000);5%(19/383)的缺血性卒中患者在症状出现后4.5年内出现。住院死亡率为31.5%(315/1000),在50-59岁的患者中最高(23.2%)。死亡率的独立预测因子包括既往心脏病(aOR 2.15; 95% CI: 1.18-3.94)和出血性中风(aOR 1.38; 95% CI: 1.12-2.02)。结论:中风在坦桑尼亚造成了很高的负担,死亡率高且延迟出现。加强高血压控制、早期卒中识别和有组织的卒中单位护理是当务之急。这些发现为国家卒中监测倡议提供了基础数据,并支持坦桑尼亚卒中预防、急性护理和系统准备的循证规划。
{"title":"Early insights from a multi-centre national stroke surveillance initiative in Tanzania","authors":"Sarah Shali Matuja ,&nbsp;Azan Nyundo ,&nbsp;Emmanuel Assey ,&nbsp;Joel Bwelemo ,&nbsp;Marieke Dekker ,&nbsp;Sarah Urasa ,&nbsp;Emanuel Makarius ,&nbsp;Peter Kishimbo ,&nbsp;Yudathadei Baltazar ,&nbsp;Baraka Alphonce ,&nbsp;Joshua Ngimbwa ,&nbsp;Philip Adebayo ,&nbsp;Sipora Siha ,&nbsp;Anney Chagula ,&nbsp;Mary Libena ,&nbsp;Theresia Lutufyo ,&nbsp;Mohamed A Mnacho ,&nbsp;Faraja S Chiwanga ,&nbsp;Kigocha Okeng’o ,&nbsp;Brighton Mushengezi ,&nbsp;William Matuja","doi":"10.1016/j.jstrokecerebrovasdis.2026.108571","DOIUrl":"10.1016/j.jstrokecerebrovasdis.2026.108571","url":null,"abstract":"<div><h3>Background</h3><div>Stroke is a leading cause of death and disability globally, with sub-Saharan Africa, bearing the greatest burden. Tanzania has only one active stroke registry, limiting evidence-based care and policy development. We aimed to expand the registry into a multi-centre study across eight major tertiary hospitals to generate baseline data for a national stroke registry.</div></div><div><h3>Methods</h3><div>From January to August 2024, we analysed de-identified data from adults (≥18 years) admitted with a World Health Organisation defined stroke. Data collected included demographics, risk factors, imaging, and in-hospital mortality. Logistic regression identified predictors of mortality.</div></div><div><h3>Results</h3><div>A total of 1000 patients were registered with a mean age 60.2±15 years and 56.2% (562/1000) were females. Most strokes occurred in those aged 50-69 years 46.3% (463/1000). Hypertension was the most common risk factor 90.1% (901/1000), followed by diabetes 13.1% (131/1000), prior stroke 10.6% (106/1000) and HIV infection 3.5% (35/1000). Haemorrhagic and ischaemic strokes accounted for 57.9% (579/1000) and 38.3% (383/1000) of cases, respectively; and 5% (19/383) of ischaemic strokes presented within 4.5 h from symptom onset. In-hospital mortality was 31.5% (315/1000), highest among patients aged 50–59 years (23.2%). Independent predictors of mortality included previous cardiac disease (aOR 2.15; 95% CI: 1.18–3.94) and haemorrhagic stroke (aOR 1.38; 95% CI: 1.12–2.02).</div></div><div><h3>Conclusions</h3><div>Stroke imposes a high burden in Tanzania, with substantial mortality and delayed presentation. Strengthening hypertension control, early stroke recognition, and organized stroke unit care are critical priorities. These findings provide foundational data for the national stroke surveillance initiative and support evidence-based planning for stroke prevention, acute care, and system readiness across Tanzania.</div></div>","PeriodicalId":54368,"journal":{"name":"Journal of Stroke & Cerebrovascular Diseases","volume":"35 3","pages":"Article 108571"},"PeriodicalIF":1.8,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Determinants of health outcomes of stroke survivors in Africa: A systematic review and meta-analysis 非洲中风幸存者健康结果的决定因素:系统回顾和荟萃分析
IF 1.8 4区 医学 Q3 NEUROSCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.jstrokecerebrovasdis.2026.108569
Marufat Odetunde PhD , Tadesse Gebrye MSc, MPH , Chidozie Mbada PhD , Faatihah Niyi-Odumosu PhD , Francis Fatoye PhD

Background

Understanding the determinants of stroke prognosis and outcomes is crucial for guiding treatment decisions and recovery expectations. This systematic review aimed to synthesise the key determinants of health outcomes for stroke survivors (SSVs) in low- and middle-income countries (LMICs), with a particular focus on Africa.

Methods

This review adhered to the PRISMA guidelines and was registered on PROSPERO (CRD42025629244). Literature search was conducted using EBSCOhost, Scopus, and Web of Science databases for studies published from inception to April 14, 2025. Original researches on SSVs in Africa were included. Methodological quality was assessed using the Newcastle–Ottawa Scale. Data was analysed using a narrative synthesis and summarised in tables and texts. A random-effects meta-analysis was conducted to quantitatively synthesise the findings from the included reviews.

Results

The literature search identified 979 articles published between October 1987 and April 2025. Of these, 52 studies conducted in seven African countries met the inclusion criteria. Clinical determinants were reported in 40 studies, while 12 studies assessed psychosocial factors. Risks of bias were classified as low in 47 of the studies and moderate in the remaining five. The key clinical determinants of health outcomes were stroke severity/neurological status (n = 19), biomarkers and blood parameters (n = 18), and abnormal radiological/imaging findings (n = 10). The psychosocial determinants were mental health and emotional well-being, especially from social support (n = 6) and quality-of-life domains (n = 5). The overall pooled estimates of clinical risk factors among SSVs indicated a statistically significant association, with an odds ratio (OR) of 1.446 (95% CI: 1.202-1.739, P < 0.001) based on 11 studies.

Conclusion

The determinants of health outcomes among SSVs in Africa are multifactorial. The significance of these findings highlights the critical importance of comprehensive management approaches that target key factors to enhance health outcomes and reduce the burden of stroke in Africa.
背景:了解脑卒中预后和预后的决定因素对于指导治疗决策和康复预期至关重要。本系统综述旨在综合中低收入国家中风幸存者(ssv)健康结果的关键决定因素,特别关注非洲。方法:基于PROSPERO (CRD42025629244)。文献检索使用EBSCOhost、Scopus和Web of Science数据库,检索从成立到2025年4月14日发表的研究。收录了关于非洲ssv的原始研究。采用纽卡斯尔-渥太华量表评估方法学质量。数据采用叙述综合法进行分析,并在表格和文本中加以总结。结果:文献检索确定了1987年10月至2025年4月间发表的979篇文章。其中,在7个非洲国家进行的52项研究符合纳入标准。40项研究报告了临床决定因素,而12项研究评估了社会心理因素。其中47项研究的偏倚风险为低,其余5项为中等。健康结局的关键临床决定因素是中风严重程度/神经系统状态(n=19)、生物标志物和血液参数(n=18)以及异常的放射学/影像学发现(n=10)。心理社会决定因素是心理健康和情感健康,特别是来自社会支持(n=6)和生活质量领域(n=5)。在11项研究中,ssv临床危险因素的总体汇总估计显示具有统计学意义的相关性,优势比(OR)为1.446 (95% CI: 1.202-1.739, P < 0.001)。结论:非洲ssv健康结局的决定因素是多因素的。这些发现的重要性突出了针对关键因素的综合管理方法的重要性,以提高非洲的健康结果并减轻中风负担。
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引用次数: 0
Letter to the editor - Effectiveness of perception–interaction-enhanced rehabilitation in post-stroke recovery: A real-world propensity-matched cohort study 致编辑的信-感知互动增强康复在中风后恢复中的有效性:一项现实世界倾向匹配的队列研究。
IF 1.8 4区 医学 Q3 NEUROSCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.jstrokecerebrovasdis.2026.108566
Tamanna Sharma BPT, MPT, Mandeep Kumar Jangra BPT, MPT, PhD, Akanksha Saxena BPT, MPT, PhD
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引用次数: 0
Spatial and spatiotemporal pattern of stroke relative risk in Ghana using Bayesian modelling approach 空间和时空模式的中风相对风险在加纳使用贝叶斯建模方法。
IF 1.8 4区 医学 Q3 NEUROSCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.jstrokecerebrovasdis.2026.108567
Abdul-Karim Iddrisu , Sampson Appiah Takyi , Joyseline Owusu Afriyie , Abubakar Siddick

Introduction

Stroke ranks as the second-leading cause of death and third in combined death and disability globally. In Ghana, there is a significant incidence of stroke, yet systematic reviews highlight a lack of comprehensive data on stroke in Sub-Saharan Africa, including Ghana. Additionally, information on the spatial and spatiotemporal distribution of stroke risk across Ghana's 16 regions remains limited. The objective of this study was to study the spatial and spatiotemporal distribution of stroke relative risk, identify regions with high-risk regions and associated predictors.

Material and Methods

Stroke risk for each region was estimated using Bayesian spatial and spatiotemporal models, and these risks were mapped to visualize areas with elevated stroke relative risk. The Random Forest and Gradient Boosting models, nonparametric ensemble machine learning algorithms, were used to investigate the effects of potential predictors on stroke risk. The study utilized annual stroke data from 2018 to 2022 obtained from the Ghana Health Service (GHS) via the District Health Information Management System version 2 (DHIMS2) and utilized parameter estimates within the Integrated Nested Laplace Approximation via R software version 4.3.2.

Results

Stroke relative risk decreases significantly over the study period. Some regions exhibited elevated risk, where the spatial model identified Volta, Central, Eastern, Bono, Upper East, Bono East, and Oti as high-risk regions, while the spatiotemporal model pinpointed Eastern, Ahafo, Bono East, Upper West, Savannah, Bono, and Western as high-risk regions. Clustering and variability in stroke risk were observed among regions. The study highlighted that gross national income significantly decreases the risk of stroke occurrence. While temperature and diabetes prevalence showed increased stroke risk, they were not statistically significant.

Conclusion

This study offers valuable insights that can inform resource allocation to regions experiencing elevated stroke risk. Identified high-risk regions can inform targeted screening strategies, referral pathway strengthening, and resource prioritization. Diagnostic capacity (including CT/MRI access), health-facility reporting quality, and surveillance system upgrades needed to reduce measurement bias and improve case ascertainment. Furthermore, we situate the findings within Ghana’s existing noncommunicable disease (NCD) policy frameworks and describe how routine updates of the model using new DHIMS2 data can support ongoing decision-making.
在全球范围内,中风是第二大死亡原因和第三大死亡和残疾原因。在加纳,中风发病率很高,但系统综述强调,包括加纳在内的撒哈拉以南非洲缺乏全面的中风数据。此外,关于加纳16个地区中风风险时空分布的信息仍然有限。本研究的目的是研究脑卒中相对风险的时空分布,确定高危区域和相关预测因素。材料和方法:使用贝叶斯空间和时空模型估计每个地区的卒中风险,并将这些风险绘制成可视化卒中相对风险升高的区域。使用随机森林和梯度增强模型(非参数集成机器学习算法)来研究潜在预测因素对中风风险的影响。该研究利用了通过地区卫生信息管理系统版本2 (DHIMS2)从加纳卫生服务(GHS)获得的2018年至2022年的年度中风数据,并通过R软件版本4.3.2利用集成嵌套拉普拉斯近似中的参数估计。结果:中风的相对风险在研究期间显著降低。空间模型将Volta、Central、Eastern、Bono、Upper East、Bono East和Oti确定为高风险地区,而时空模型将Eastern、Ahafo、Bono East、Upper West、Savannah、Bono和Western确定为高风险地区。在不同地区之间观察到卒中风险的聚类性和变异性。该研究强调,国民总收入显著降低中风发生的风险。虽然体温和糖尿病患病率显示中风风险增加,但它们在统计上并不显著。结论:这项研究提供了有价值的见解,可以为卒中高风险地区的资源分配提供信息。确定的高风险地区可以告知有针对性的筛查策略,转诊途径加强和资源优先排序。诊断能力(包括CT/MRI获取)、卫生机构报告质量和监测系统升级需要减少测量偏差和改善病例确定。此外,我们将研究结果置于加纳现有的非传染性疾病(NCD)政策框架中,并描述了使用新的DHIMS2数据对模型进行常规更新如何支持正在进行的决策。
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引用次数: 0
Deep learning architectures for modeling and forecasting stroke cases in Ghana 用于建模和预测加纳中风病例的深度学习架构
IF 1.8 4区 医学 Q3 NEUROSCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.jstrokecerebrovasdis.2026.108570
Abdul-Karim Iddrisu , Morongwa Gabanakgosi , Abubakar Hudu Siddick

Introduction

Stroke remains a leading cause of global morbidity and mortality, ranking second in deaths and third in disability-adjusted life years (DALYs). Its burden is particularly severe in low- and middle-income countries such as Ghana, where stroke is currently the leading cause of death. However, local data and predictive modeling remain limited, hindering effective health planning and intervention. This study aimed to model and forecast stroke incidence in Ghana using advanced deep learning techniques to support data-driven public health strategies.

Material and Methods

Monthly stroke case data from 2018 to 2023 were obtained from Ghana Health Service. Four deep learning models; Long Short-Term Memory (LSTM), Bayesian LSTM (BLSTM), Convolutional LSTM (ConvLSTM), and Bayesian ConvLSTM (BConvLSTM), were employed to capture spatiotemporal patterns in stroke incidence. Diabetes prevalence was included as a covariate. Model performance was evaluated using mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE). Data analyses were carried out using python version 3.13.7 and R version software.

Results

LSTM and BLSTM models showed strong forecasting performance, with LSTM yielding the lowest errors. ConvLSTM and BConvLSTM models underperformed significantly. Forecasts from 2024 to 2028 reveal initial variability in 2024, with monthly cases between 1,694 and 2,007, followed by gradual stabilization through 2028, where values converge between 1,774 and 1,781.

Conclusion

The study highlights a persistently high but stabilizing stroke burden in Ghana. It underscores the urgent need for targeted interventions addressing modifiable risk factors, particularly diabetes, and supports LSTM as the most effective model for forecasting in this context.
中风仍然是全球发病率和死亡率的主要原因,在死亡人数中排名第二,在残疾调整生命年(DALYs)中排名第三。在加纳等低收入和中等收入国家,中风的负担尤其严重,在这些国家,中风目前是主要的死亡原因。然而,当地数据和预测模型仍然有限,阻碍了有效的卫生规划和干预。本研究旨在利用先进的深度学习技术模拟和预测加纳的中风发病率,以支持数据驱动的公共卫生战略。材料与方法从加纳卫生服务中心获取2018 - 2023年每月脑卒中病例数据。四种深度学习模型;采用长短期记忆(LSTM)、贝叶斯LSTM (BLSTM)、卷积LSTM (ConvLSTM)和贝叶斯ConvLSTM (BConvLSTM)来捕捉脑卒中发生的时空模式。糖尿病患病率作为协变量包括在内。使用平均绝对误差(MAE)、均方误差(MSE)、均方根误差(RMSE)和平均绝对百分比误差(MAPE)评估模型性能。采用python 3.13.7版和R版软件进行数据分析。结果slstm和BLSTM模型预测效果较好,其中LSTM模型误差最小。ConvLSTM和BConvLSTM模型表现不佳。从2024年到2028年的预测显示,2024年的初始变化,每月病例数在1694至2007之间,随后到2028年逐渐稳定,病例数在1774至1781之间收敛。结论:该研究强调了加纳卒中负担持续偏高但趋于稳定。报告强调,迫切需要针对可改变的风险因素,特别是糖尿病,采取有针对性的干预措施,并支持LSTM作为这方面最有效的预测模型。
{"title":"Deep learning architectures for modeling and forecasting stroke cases in Ghana","authors":"Abdul-Karim Iddrisu ,&nbsp;Morongwa Gabanakgosi ,&nbsp;Abubakar Hudu Siddick","doi":"10.1016/j.jstrokecerebrovasdis.2026.108570","DOIUrl":"10.1016/j.jstrokecerebrovasdis.2026.108570","url":null,"abstract":"<div><h3>Introduction</h3><div>Stroke remains a leading cause of global morbidity and mortality, ranking second in deaths and third in disability-adjusted life years (DALYs). Its burden is particularly severe in low- and middle-income countries such as Ghana, where stroke is currently the leading cause of death. However, local data and predictive modeling remain limited, hindering effective health planning and intervention. This study aimed to model and forecast stroke incidence in Ghana using advanced deep learning techniques to support data-driven public health strategies.</div></div><div><h3>Material and Methods</h3><div>Monthly stroke case data from 2018 to 2023 were obtained from Ghana Health Service. Four deep learning models; Long Short-Term Memory (LSTM), Bayesian LSTM (BLSTM), Convolutional LSTM (ConvLSTM), and Bayesian ConvLSTM (BConvLSTM), were employed to capture spatiotemporal patterns in stroke incidence. Diabetes prevalence was included as a covariate. Model performance was evaluated using mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE). Data analyses were carried out using python version 3.13.7 and R version software.</div></div><div><h3>Results</h3><div>LSTM and BLSTM models showed strong forecasting performance, with LSTM yielding the lowest errors. ConvLSTM and BConvLSTM models underperformed significantly. Forecasts from 2024 to 2028 reveal initial variability in 2024, with monthly cases between 1,694 and 2,007, followed by gradual stabilization through 2028, where values converge between 1,774 and 1,781.</div></div><div><h3>Conclusion</h3><div>The study highlights a persistently high but stabilizing stroke burden in Ghana. It underscores the urgent need for targeted interventions addressing modifiable risk factors, particularly diabetes, and supports LSTM as the most effective model for forecasting in this context.</div></div>","PeriodicalId":54368,"journal":{"name":"Journal of Stroke & Cerebrovascular Diseases","volume":"35 3","pages":"Article 108570"},"PeriodicalIF":1.8,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impact of diabetes and hyperglycemia on acute stroke outcomes in a semi urban setting in Cameroon: Results of the Buea Stroke Study, Cameroon 糖尿病和高血糖对喀麦隆半城市急性卒中结局的影响:喀麦隆Buea卒中研究的结果
IF 1.8 4区 医学 Q3 NEUROSCIENCES Pub Date : 2026-01-19 DOI: 10.1016/j.jstrokecerebrovasdis.2026.108565
Clovis Nkoke MD , Cyrille Nkouonlack MD , Ahmadou Musa Jingi MD , Jean Jacques Noubiap MD, PhD

Background

Data on the impact of diabetes mellitus and hyperglycemia on acute stroke outcomes are inconsistent. This study aimed to assess the prognostic impact of diabetes mellitus and admission hyperglycemia on in-hospital stroke outcomes in a semi-urban setting in Cameroon.

Methods

We included patients aged ≥18 years hospitalized for acute stroke at the Buea Regional Hospital, Southwest Region of Cameroon, from January 2021 to August 2023. Multivariable logistic regression analysis was used to assess the impact of known diabetes mellitus and admission hyperglycemia on in-hospital functional outcome, infections, length of hospital stay, and mortality. Risk estimates are presented as adjusted odds ratios (aOR) with 95% confidence intervals (95% CI). A p value of <0.05 was considered significant.

Results

Out of the 369 patients recruited, 99 (26.8%) had diabetes. Of the 267 patients with blood glucose on admission, 81 (30.3%) had hyperglycemia. Patients with diabetes mellitus were significantly older (65.1 vs 61.1 years; p=0.03), had a higher prevalence of hypertension (84.9% vs 66.7%; p=0.001) and more commonly had ischemic stroke (85.9% vs 68.2%; p=0.001). In multivariable logistic regression analysis, diabetes mellitus was significantly associated with prolonged hospital stay (aOR= 2.20; 95% CI1.19-4.06; p=0.01) and infections (aOR= 2.36, 95% CI1.14-4.87; p=0.02) but not with in-hospital mortality and functional outcome. Admission hyperglycemia was not associated with any of the outcomes.

Conclusion

In this cohort of patients in a resource limited setting, diabetes mellitus was associated with longer hospital stay and more frequent infections but not mortality nor poor functional outcome after an acute stroke. Admission hyperglycemia was not associated with poor outcomes.
背景:关于糖尿病和高血糖对急性卒中预后影响的数据不一致。本研究旨在评估喀麦隆半城市环境中糖尿病和入院高血糖对住院卒中结局的预后影响。方法:我们纳入了2021年1月至2023年8月在喀麦隆西南地区Buea地区医院因急性脑卒中住院的年龄≥18岁的患者。采用多变量logistic回归分析评估已知糖尿病和入院时高血糖对住院功能结局、感染、住院时间和死亡率的影响。风险估计以校正优势比(aOR)和95%置信区间(95% CI)表示。结果的p值:在招募的369例患者中,99例(26.8%)患有糖尿病。入院时有血糖的267例患者中,81例(30.3%)有高血糖。糖尿病患者明显年龄较大(65.1岁vs 61.1岁,p=0.03),高血压患病率较高(84.9% vs 66.7%, p=0.001),缺血性卒中患病率较高(85.9% vs 68.2%, p=0.001)。在多变量logistic回归分析中,糖尿病与住院时间延长(aOR= 2.20; 95% CI1.19-4.06; p=0.01)和感染(aOR= 2.36, 95% CI1.14-4.87; p=0.02)显著相关,但与院内死亡率和功能结局无关。入院时高血糖与任何结果无关。结论:在这个资源有限的患者队列中,糖尿病与急性卒中后更长的住院时间和更频繁的感染有关,但与死亡率和功能预后不良无关。入院时高血糖与不良预后无关。
{"title":"Impact of diabetes and hyperglycemia on acute stroke outcomes in a semi urban setting in Cameroon: Results of the Buea Stroke Study, Cameroon","authors":"Clovis Nkoke MD ,&nbsp;Cyrille Nkouonlack MD ,&nbsp;Ahmadou Musa Jingi MD ,&nbsp;Jean Jacques Noubiap MD, PhD","doi":"10.1016/j.jstrokecerebrovasdis.2026.108565","DOIUrl":"10.1016/j.jstrokecerebrovasdis.2026.108565","url":null,"abstract":"<div><h3>Background</h3><div>Data on the impact of diabetes mellitus and hyperglycemia on acute stroke outcomes are inconsistent. This study aimed to assess the prognostic impact of diabetes mellitus and admission hyperglycemia on in-hospital stroke outcomes in a semi-urban setting in Cameroon.</div></div><div><h3>Methods</h3><div>We included patients aged ≥18 years hospitalized for acute stroke at the Buea Regional Hospital, Southwest Region of Cameroon, from January 2021 to August 2023. Multivariable logistic regression analysis was used to assess the impact of known diabetes mellitus and admission hyperglycemia on in-hospital functional outcome, infections, length of hospital stay, and mortality. Risk estimates are presented as adjusted odds ratios (aOR) with 95% confidence intervals (95% CI). A p value of &lt;0.05 was considered significant.</div></div><div><h3>Results</h3><div>Out of the 369 patients recruited, 99 (26.8%) had diabetes. Of the 267 patients with blood glucose on admission, 81 (30.3%) had hyperglycemia. Patients with diabetes mellitus were significantly older (65.1 vs 61.1 years; p=0.03), had a higher prevalence of hypertension (84.9% vs 66.7%; p=0.001) and more commonly had ischemic stroke (85.9% vs 68.2%; p=0.001). In multivariable logistic regression analysis, diabetes mellitus was significantly associated with prolonged hospital stay (aOR= 2.20; 95% CI1.19-4.06; p=0.01) and infections (aOR= 2.36, 95% CI1.14-4.87; p=0.02) but not with in-hospital mortality and functional outcome. Admission hyperglycemia was not associated with any of the outcomes.</div></div><div><h3>Conclusion</h3><div>In this cohort of patients in a resource limited setting, diabetes mellitus was associated with longer hospital stay and more frequent infections but not mortality nor poor functional outcome after an acute stroke. Admission hyperglycemia was not associated with poor outcomes.</div></div>","PeriodicalId":54368,"journal":{"name":"Journal of Stroke & Cerebrovascular Diseases","volume":"35 3","pages":"Article 108565"},"PeriodicalIF":1.8,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146021102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Synergistic impacts of physical activity and sleep on risk of dementia and all-cause mortality in chinese older stroke survivors 体力活动和睡眠对中国老年脑卒中幸存者痴呆风险和全因死亡率的协同影响
IF 1.8 4区 医学 Q3 NEUROSCIENCES Pub Date : 2026-01-19 DOI: 10.1016/j.jstrokecerebrovasdis.2026.108547
Jiawen Wei, Yan Shen

Background

Physical activity (PA) and sleep reduce the risk of dementia and mortality, but evidence among older stroke survivors in China is limited.

Objective

To investigate the impact of PA on dementia and all-cause mortality risks in this population and analyze its joint effect with sleep.

Methods

Utilizing data from the CLHLS, we analyzed the correlation of PA with dementia and mortality in elderly stroke survivors and explored the mediating role of dementia in the PA–mortality relationship. Joint variables of PA and sleep were constructed to assess their combined effects on dementia and mortality.

Results

Older stroke survivors engaging in regular PA had a 38% reduced risk of dementia (OR=0.62, 95% CI: 0.56-0.69, P<0.001) and a 44% lower risk of mortality (HR=0.56, 95% CI: 0.52-0.59, P<0.001). Additional protective factors against dementia included pet ownership, social activity, and reading, whereas television viewing and radio listening were linked to an increased risk of dementia. Raising domestic animals/pets, participating in outdoor activities, and performing housework were associated with a lower mortality risk (P<0.05). Dementia mediated 5.9% of PA–mortality risk relationship. The joint analysis highlighted that coupling regular PA with sleep exceeding 9 h was associated with a 42% decrease in dementia risk, whereas pairing it with 9 h or less of sleep yielded a 60% decrease in mortality risk.

Conclusion

For elderly stroke survivors, PA confers protective effects against both dementia and all-cause mortality. This association is partially mediated by the reduced risk of dementia. Furthermore, the beneficial impact of regular PA on these outcomes is moderated by sleep duration, underscoring the necessity of a joint consideration of both factors in prognostic assessments.
背景:体育活动(PA)和睡眠可以降低痴呆和死亡率的风险,但在中国老年中风幸存者中的证据有限。目的:探讨PA对老年痴呆及全因死亡风险的影响,并分析其与睡眠的联合作用。方法:利用CLHLS数据,分析老年脑卒中幸存者PA与痴呆和死亡率的相关性,探讨痴呆在PA-死亡率关系中的中介作用。构建了PA和睡眠的联合变量来评估它们对痴呆和死亡率的综合影响。结果:老年脑卒中幸存者定期接受PA治疗,痴呆风险降低38% (OR=0.62, 95% CI: 0.56-0.69)。结论:对于老年脑卒中幸存者,PA对痴呆和全因死亡率均有保护作用。这种关联部分是由痴呆风险降低介导的。此外,定期PA对这些结果的有益影响受到睡眠时间的影响,强调了在预后评估中联合考虑这两个因素的必要性。
{"title":"Synergistic impacts of physical activity and sleep on risk of dementia and all-cause mortality in chinese older stroke survivors","authors":"Jiawen Wei,&nbsp;Yan Shen","doi":"10.1016/j.jstrokecerebrovasdis.2026.108547","DOIUrl":"10.1016/j.jstrokecerebrovasdis.2026.108547","url":null,"abstract":"<div><h3>Background</h3><div>Physical activity (PA) and sleep reduce the risk of dementia and mortality, but evidence among older stroke survivors in China is limited.</div></div><div><h3>Objective</h3><div>To investigate the impact of PA on dementia and all-cause mortality risks in this population and analyze its joint effect with sleep.</div></div><div><h3>Methods</h3><div>Utilizing data from the CLHLS, we analyzed the correlation of PA with dementia and mortality in elderly stroke survivors and explored the mediating role of dementia in the PA–mortality relationship. Joint variables of PA and sleep were constructed to assess their combined effects on dementia and mortality.</div></div><div><h3>Results</h3><div>Older stroke survivors engaging in regular PA had a 38% reduced risk of dementia (OR=0.62, 95% CI: 0.56-0.69, <em>P</em>&lt;0.001) and a 44% lower risk of mortality (HR=0.56, 95% CI: 0.52-0.59, <em>P</em>&lt;0.001). Additional protective factors against dementia included pet ownership, social activity, and reading, whereas television viewing and radio listening were linked to an increased risk of dementia. Raising domestic animals/pets, participating in outdoor activities, and performing housework were associated with a lower mortality risk (<em>P</em>&lt;0.05). Dementia mediated 5.9% of PA–mortality risk relationship. The joint analysis highlighted that coupling regular PA with sleep exceeding 9 h was associated with a 42% decrease in dementia risk, whereas pairing it with 9 h or less of sleep yielded a 60% decrease in mortality risk.</div></div><div><h3>Conclusion</h3><div>For elderly stroke survivors, PA confers protective effects against both dementia and all-cause mortality. This association is partially mediated by the reduced risk of dementia. Furthermore, the beneficial impact of regular PA on these outcomes is moderated by sleep duration, underscoring the necessity of a joint consideration of both factors in prognostic assessments.</div></div>","PeriodicalId":54368,"journal":{"name":"Journal of Stroke & Cerebrovascular Diseases","volume":"35 3","pages":"Article 108547"},"PeriodicalIF":1.8,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146021124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Journal of Stroke & Cerebrovascular Diseases
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