BACKGROUND AND OBJECTIVE

The incidence of ischemic stroke typically increases with age; however, recent studies have shown a concerning trend of stroke cases among adults under the age of 45. This neurologic condition is called “Stroke in the Young” (SITY). SITY poses public health concerns due to its long-term consequences on individuals and their families. Despite significant impact, published literature on SITY among Filipinos is scarce. Given the potential differences in genetic background and lifestyle, the clinical characteristics and outcomes of SITY Filipinos may vary considerably from other populations. Therefore, the aim of this study is to describe the clinical features and outcomes of ischemic SITY Filipinos.

METHODS

The study was a two-center, five-year retro- spective cohort design involving 19- to 45-year-old  patients admitted between January 1, 2017, and December 31, 2022, diagnosed clinically and radiologically with ischemic stroke for the first time. Medical records were reviewed, including demographic data, stroke symptoms, cardiovascular or non-cardiovascular risk factors, and laboratory results. Ischemic stroke subtypes were categorized into cardioembolic, small artery occlusion, stroke of other determined causes, and stroke of undetermined cause through the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classification. Functional outcomes on hospital discharge were assessed by the Modified Rankin Scale (mRS). All data were analyzed using descriptive statistics in the Statistical Package for the Social Sciences (SPSS software, version 29).

RESULTS

A total of 205 cases of ischemic SITY were chart reviewed. The mean age was 37.30, with a female predominance of 68.3%. The most reported cardiovascular risk factors were obesity (56.6%), hypertension (51.2%), heavy alcohol consumption (36.5%), and diabetes mellitus type 2 (19.5%). Concurrently, the non-cardiovascular risk factors identified were pregnancy, particularly in the postpartum period (4.8%), use of estrogen-containing pills (4.8%), and migraine without aura (4.4%). Based on TOAST classification, small vessel occlusion (42.1%) and large artery atherosclerosis (30.2%) were the most frequent ischemic stroke subtypes of SITY Filipino females. Mostly showed no symptoms of disability (35.1%) on hospital discharge.

CONCLUSION

This study highlights the difference in the clinical profile of young Filipino adults with ischemic stroke. Contrary to previous studies, ischemic stroke was more predominant among young females. Aside from hypertension, obesity has emerged as the leading cardio- vascular risk factor for ischemic SITY. Moreover, noncardiovascular risk factors, specific to females (pregnancy, use of estrogen-containing pills, and migraine), were also identified in the study. With regards to stroke subtypes, small vessel occlusion and large artery atherosclerosis were frequently seen in young female patients. These f indings suggest a need for gender-specific approaches in the evaluation, management, and prevention of ischemic SITY.

Human ; Young Adult: 19-24 Yrs Old ; Ischemic Stroke

Objective To investigate the association of baseline cerebral blood flow （CBF） and cerebral metabolic rate of oxygen （CMRO2） with sleep structure disorder after thrombolytic therapy in stroke patients， as well as their value in clinical assessment. Methods A total of 145 patients with stroke were enrolled as subjects， and all of them received thrombolytic therapy in our hospital from January 2023 to June 2025. Before thrombolytic therapy， 3.0 T magnetic resonance imaging was used to obtain relative CBF （rCBF） and relative CMRO2 （rCMRO2）， and rCBF/rCMRO2 ratio was calculated. At week 1 after thrombolysis， overnight polysomnography （PSG） was conducted to obtain parameters such as total sleep time， sleep efficiency， the proportion of each NREM stage， and REM sleep duration. According to the presence or absence of sleep structure disorder， the subjects were divided into disorder group and non-disorder group. The Pearson correlation method was used for correlation analysis. A multivariate logistic regression analysis was used to identify the influencing factors for sleep structure disorder in subjects after thrombolytic therapy. The receiver operating characteristic （ROC） curve was plotted to analyze the performance of rCBF/rCMRO2 ratio in predicting sleep structure disorder in subjects after thrombolytic therapy. Results Compared with the non-disorder group， the disorder group had significantly higher age， infarct volume， NIHSS score on admission， and proportion of patients with infarction in the thalamus （P<0.05）. Compared with the non-disorder group， the disorder group had significantly lower rCBF， rCMRO2， rCBF/rCMRO2 ratio， total sleep time， proportion of NREM 3 sleep， proportion of REM sleep， and sleep efficiency （P<0.05） and significantly higher proportion of NREM 1 sleep and sleep arousal index （P<0.05）. The Pearson correlation analysis showed that rCBF， rCMRO2， and rCBF/rCMRO2 ratio were positively correlated with total sleep time， proportion of NREM 3 sleep， proportion of REM sleep， and sleep efficiency （P<0.001） and were negatively correlated with the proportion of NREM 1 sleep and sleep arousal index （P<0.001）. The Logistic regression analysis showed that age， infarct volume， infarction location （thalamus）， and NIHSS score on admission were risk factors for sleep structure disorder in stroke patients after thrombolytic therapy （P<0.05）， while rCBF， rCMRO2， and rCBF/rCMRO2 ratio were protective factors against sleep structure disorder （P<0.05）. The ROC curve analysis showed that rCBF/rCMRO2 ratio had an area under the ROC curve of 0.901 （95% CI 0.869-0.938） in predicting sleep structure disorder in stroke patients after thrombolytic therapy， with a sensitivity of 95.50% and a specificity of 82.40%. Conclusion Baseline rCBF， rCMRO2， and rCBF/rCMRO2 ratio are closely associated with sleep structure disorder in stroke patients after thrombolytic therapy， among which rCBF/rCMRO2 ratio has excellent performance in predicting sleep structure disorder and can be used as a sensitive indicator for clinical assessment of high-risk patients.
Stroke

Objective To investigate the influence of sleep disorders after stroke on the risk of recurrence of cerebrovascular events based on propensity score matching （PSM）. Methods A retrospective analysis was performed for the clinical data of 173 stroke patients who were admitted to our hospital from March 2021 to October 2023， and according to the presence or absence of sleep disorders， they were divided into sleep disorders group with 88 patients and non-sleep disorders group with 85 patients.The two groups of patients were matched by PSM at a ratio of 1∶1 based on the baseline data of sex， age， body mass index（BMI）， and smoking and drinking history， and the recurrence of cerebrovascular events was compared between the two groups before and after matching. The Cox regression model was used to investigate the influence of sleep disorders after stroke on the risk of recurrence of cerebrovascular events after matching. Results A total of 69 cases were successfully matched by PSM. After matching， there were no significant differences between the two groups in sex， age， BMI， drinking history，smoking history， past medical history， stroke type， diastolic blood pressure， systolic blood pressure，National Institutes of Health Stroke Scale score， triglyceride， total cholesterol， low-density lipoprotein cholesterol， high-density lipoprotein cholesterol， fasting blood glucose， glycosylated hemoglobin， C-reactive protein， homocysteine， anxiety， and depression（P>0.05）.Compared with the non-sleep disorders group， the sleep disorders group had a significantly higher incidence rate of transient ischemic attack and a significantly higher overall incidence rate of cerebrovascular events before and after matching （P<0.05）.After matching，the Cox regression model analysis showed that sleep disorders after stroke was an independent risk factor for recurrence of cerebrovascular events（P<0.05）. Conclusion After PSM of the baseline data of stroke patients，sleep disorder after stroke is an independent risk factor for recurrence of cerebrovascular events.
Stroke

BACKGROUND AND OBJECTIVES

Telerehabilitation is the remote delivery of rehabilitation services using telecommunication technologies. Its local adoption was catalyzed by the COVID-19 pandemic, prompting the need to assess user acceptance. This study aimed to determine the acceptance of stroke telerehabilitation among patients, carers, and rehabilitation providers in the Department of Physical Medicine and Rehabilitation at St. Luke’s Medical Center – Global City and Quezon City.

METHODS

This descriptive cross-sectional study used purposive sampling to recruit 73 rehabilitation providers and 10 consumers. Data were collected using a self-administered survey based on the Technology Acceptance Model, covering perceived ease of use, usefulness, and behavioral intent. Descriptive and inferential statistics were used for analysis.

RESULTS

Most providers (94.4%) were familiar with telerehabilitation, while only half of the consumers were aware of it. Acceptance was moderate among providers (mean score: 35.75 ± 8.67) and high among consumers (mean score: 31.6 ± 7.52). Female providers were less likely to accept telerehabilitation (p=0.049). Consumers identified financial constraints and lack of a companion as key barriers, while providers cited internet issues and technology use. Both groups viewed telerehabilitation positively for teleconsultation, teletherapy, and telemonitoring. Smartphones were the preferred device; Viber and Facebook Messenger were the most commonly chosen platforms.

CONCLUSION

Stroke telerehabilitation was moderately to highly accepted by rehabilitation stakeholders in two tertiary private hospitals in Manila. Findings may guide institutional planning for telerehabilitation services. Training, infrastructure support, and awareness campaigns can help address implementation barriers.

Human ; Male ; Female ; Adult: 25-44 Yrs Old ; Middle Aged: 45-64 Yrs Old ; Remote Consultation ; Physical And Rehabilitation Medicine ; Tertiary Care Centers ; Telecommunications ; Telerehabilitation ; Cross-sectional Studies ; Technology ; Stroke ; Covid-19

INRODUCTION

Stroke is one of the top five leading causes of disability in the Philippines. It has a significant impact on the quality of life (QoL) of patients, particularly in the functional and psycho-emotional aspects. Thus, it is important to understand the health-related quality of life in stroke patients (HRQoLISP), which focuses on the clinical impact of the disease and disability. The assessment of a stroke patient’s QoL is prognostically significant as it can predict a patient’s treatment success and survival.

OBJECTIVE

This study aims to translate the HRQoLISP-26 into Filipino and assess its content validity for Filipino adult stroke patients.

METHODOLOGY

The HRQoLISP-26 was translated into Filipino using a forward translation protocol and an expert analyzed the forward translation. Selected expert committee members reviewed the first version to assess for content validity and the questionnaire was modified accordingly. The content validity index (CVI) was used for content validity.

RESULTS

Majority of the revisions made were done to improve the semantic and grammatical accuracy of items in the Filipino version of the HRQoLISP-26. Only a few items had no revisions implemented. No revisions were done in the final version of the translated questionnaire as each item had a CVI of 1 indicating that it has good content validity.

CONCLUSION

The Filipino translated HRQoLISP-26 questionnaire is a validated questionnaire that allows assessment of a stroke survivor’s QoL.

Quality Of Life ; Patients ; Life ; Health ; Adult ; Stroke

BACKGROUND AND OBJECTIVES

Telerehabilitation is the remote delivery of rehabilitation services using telecommunication technologies. Its local adoption was catalyzed by the COVID-19 pandemic, prompting the need to assess user acceptance. This study aimed to determine the acceptance of stroke telerehabilitation among patients, carers, and rehabilitation providers in the Department of Physical Medicine and Rehabilitation at St. Luke’s Medical Center – Global City and Quezon City.

METHODS

This descriptive cross-sectional study used purposive sampling to recruit 73 rehabilitation providers and 10 consumers. Data were collected using a self-administered survey based on the Technology Acceptance Model, covering perceived ease of use, usefulness, and behavioral intent. Descriptive and inferential statistics were used for analysis.

RESULTS

Most providers (94.4%) were familiar with telerehabilitation, while only half of the consumers were aware of it. Acceptance was moderate among providers (mean score: 35.75 ± 8.67) and high among consumers (mean score: 31.6 ± 7.52). Female providers were less likely to accept telerehabilitation (p=0.049). Consumers identified financial constraints and lack of a companion as key barriers, while providers cited internet issues and technology use. Both groups viewed telerehabilitation positively for teleconsultation, teletherapy, and telemonitoring. Smartphones were the preferred device; Viber and Facebook Messenger were the most commonly chosen platforms.

CONCLUSION

Stroke telerehabilitation was moderately to highly accepted by rehabilitation stakeholders in two tertiary private hospitals in Manila. Findings may guide institutional planning for telerehabilitation services. Training, infrastructure support, and awareness campaigns can help address implementation barriers.

Human ; Male ; Female ; Adult: 25-44 Yrs Old ; Middle Aged: 45-64 Yrs Old ; Remote Consultation ; Physical And Rehabilitation Medicine ; Tertiary Care Centers ; Telecommunications ; Telerehabilitation ; Cross-sectional Studies ; Technology ; Stroke ; Covid-19

INTRODUCTION

Takayasu arteritis (TA) is a rare chronic large vessel vasculitis that affects the aorta and its major branches with a median age of onset of 25 years. The disease has a worldwide incidence of 1-2 per million, primarily affecting females with a 9:1 ratio. It is considered as an autoimmune disease that leads to progressive vessel thickening and stenosis, or aneurysmal dilatation. Coronary artery involvement is observed in 5.9%-58.2% of TA cases. We present a case of TA in a Filipino male presenting concurrently with myocardial infarction (MI) and ischemic stroke.

CASE REPORT

A 41-year-old Filipino male smoker with hypertension presented with chest pain, left-sided paresthesia and hemiparesis. Initial assessment revealed differential blood pressure between the arms, sensory and motor deficits, and abnormal ABI. Electrocardiogram confirmed anteroseptal ST-elevation MI and cranial computed tomography (CT) showed ischemic stroke. Arterial duplex scan had findings suggestive of hemodynamically significant lower extremity stenosis. A CT aortogram revealed multiple occlusions, including in the left subclavian artery, suggesting TA. Coronary angiography was attempted but was deferred due to peripheral arterial occlusion. A CT coronary angiogram revealed severe stenosis of the left anterior descending artery and moderate stenosis of the other coronaries. The patient was treated with dual antiplatelet therapy, statins, anticoagulation, corticosteroids and methotrexate. He experienced significant improvement in neurological symptoms and was chest pain-free upon discharge. At the 1-month follow-up, the patient remained asymptomatic.

DISCUSSION

Coronary involvement in TA can manifest as angina, MI, or other coronary lesions. The coexistence of MI and ischemic stroke in the same event is rare. Traditional risk factors for ischemic heart disease (IHD) in this patient such as hypertension and smoking may have contributed to the presentation, though TA itself is known to accelerate atherosclerosis. Limited vascular access hindered coronary intervention in this case and revascularization strategies remain challenging in active TA. The formation of extensive collateral arteries, along with early initiation of immunosuppressive therapy, likely contributed to the patient’s survival.

CONCLUSION

This case illustrates a rare and complex case of TA in a male patient with concurrent MI and ischemic stroke. Although coronary revascularization was not pursued due to occluded access, immunosuppressive therapy successfully managed the patient’s condition. Extensive collateral artery formation and early therapeutic intervention were key factors in the patient’s favorable outcome.

Human ; Male ; Adult: 25-44 Yrs Old ; Takayasu Arteritis ; Myocardial Infarction ; Ischemic Stroke ; Vasculitis ; Constriction, Pathologic

OBJECTIVE: To identify the optimal machine learning algorithm for predicting post-stroke epilepsy (PSE) within one year following acute stroke, establish a nomogram model based on this algorithm, and perform external validation to achieve accurate prediction of secondary epilepsy. METHODS: A total of 870 acute stroke patients admitted to the emergency department of Xiang'an Hospital of Xiamen University from June 2019 to June 2023 were enrolled for model development (model group). An external validation cohort of 435 acute stroke patients admitted to the Fifth Hospital of Xiamen during the same period was used to validate the machine learning algorithms and nomogram model. Patients were classified into control and epilepsy groups based on the development of PSE within one year. Clinical and laboratory data, including baseline characteristics, stroke location, vascular status, complications, hematologic parameters, and National Institutes of Health Stroke Scale (NIHSS) score, were collected for analysis. Nine machine learning algorithms such as logistic regression, CN2 rule induction, K-nearest neighbors, adaptive boosting, random forest, gradient boosting, support vector machine, naive Bayes, and neural network were applied to evaluate predictive performance. The area under the curve (AUC) of receiver operator characteristic curve (ROC curve) was used to identify the optimal algorithm. Logistic regression was used to screen risk factors for PSE, and the top 10 predictors were selected to construct the nomogram model. The predictive performance of the model was evaluated using the ROC curve in both the model and validation groups. RESULTS: Among the 870 patients in the model group, 29 developed PSE within one year. Among the nine algorithms tested, logistic regression demonstrated the best performance and generalizability, with an AUC of 0.923. Univariate logistic regression identified several risk factors for PSE, including platelet count, white blood cell count, red blood cell count, glycated hemoglobin (HbA1c), C-reactive protein (CRP), triglycerides, high-density lipoprotein (HDL), aspartate aminotransferase (AST), alanine aminotransferase (ALT), activated partial thromboplastin time (APTT), thrombin time, D-dimer, fibrinogen, creatine kinase (CK), creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), serum sodium, lactic acid, anion gap, NIHSS score, brain herniation, periventricular stroke, and carotid artery plaque. Further multivariate logistic regression analysis showed that white blood cell count, HDL, fibrinogen, lactic acid and brain herniation were independent risk factors [odds ratio (OR) were 1.837, 198.039, 47.025, 11.559, 70.722, respectively, all P < 0.05]. In the external validation group, univariate logistic regression analysis showed that platelet count, white blood cell count, CRP, triacylglycerol, APTT, D-dimer, fibrinogen, CK, CK-MB, LDH, NIHSS score, and cerebral herniation were risk factors for PSE one year after acute stroke. Further multiple logistic regression analysis showed that APTT and cerebral herniation were independent predictors (OR were 0.587 and 116.193, respectively, both P < 0.05). The nomogram model, constructed using 10 key variables-brain herniation, periventricular stroke, carotid artery plaque, white blood cell count, triglycerides, thrombin time, D-dimer, serum sodium, lactic acid, and NIHSS score-achieved an AUC of 0.908 in the model group and 0.864 in the external validation group. CONCLUSIONS The logistic regression-based prediction model for epilepsy one year after acute stroke, developed using machine learning algorithms, showed optimal predictive performance. The nomogram model based on the logistic regression-derived predictors showed strong discriminative power and was successfully validated externally, suggesting favorable clinical applicability and generalizability.
Humans ; Machine Learning ; Stroke/complications* ; Nomograms ; Epilepsy/etiology* ; Algorithms ; Male ; Female ; Logistic Models ; Middle Aged ; Aged ; Risk Factors ; Bayes Theorem

BACKGROUND: China is seeing a growing demand for rehabilitation treatments for post-stroke upper limb spastic paresis (PSSP-UL). Although acupuncture is known to be effective for PSSP-UL, there is room to enhance its efficacy. OBJECTIVE: This study explored a semi-personalized acupuncture approach for PSSP-UL that used three-dimensional kinematic analysis (3DKA) results to select additional acupoints, and investigated the feasibility, efficacy and safety of this approach. DESIGN, SETTING, PARTICIPANTS AND INTERVENTIONS: This single-blind, single-center, randomized, controlled trial involved 74 participants who experienced a first-ever ischemic or hemorrhagic stroke with spastic upper limb paresis. The participants were then randomly assigned to the intervention group or the control group in a 1:1 ratio. Both groups received conventional treatments and acupuncture treatment 5 days a week for 4 weeks. The main acupoints in both groups were the same, while participants in the intervention group received additional acupoints selected on the basis of 3DKA results. Follow-up assessments were conducted for 8 weeks after the treatment. MAIN OUTCOME MEASURES: The primary outcome was the Fugl-Meyer Assessment for Upper Extremity (FMA-UE) response rate (≥ 6-point change) at week 4. Secondary outcomes included changes in motor function (FMA-UE), Brunnstrom recovery stage (BRS), manual muscle test (MMT), spasticity (Modified Ashworth Scale, MAS), and activities of daily life (Modified Barthel Index, MBI) at week 4 and week 12. RESULTS: Sixty-four participants completed the trial and underwent analyses. Compared with control group, the intervention group exhibited a significantly higher FMA-UE response rate at week 4 (χ² = 5.479, P = 0.019) and greater improvements in FMA-UE at both week 4 and week 12 (both P < 0.001). The intervention group also showed bigger improvements from baseline in the MMT grades for shoulder adduction and elbow flexion at weeks 4 and 12 as well as thumb adduction at week 4 (P = 0.007, P = 0.049, P = 0.019, P = 0.008, P = 0.029, respectively). The intervention group showed a better change in the MBI at both week 4 and week 12 (P = 0.004 and P = 0.010, respectively). Although the intervention group had a higher BRS for the hand at week 12 (P = 0.041), no intergroup differences were observed at week 4 (all P > 0.05). The two groups showed no differences in MAS grades as well as in BRS for the arm at weeks 4 and 12 (all P > 0.05). CONCLUSION: Semi-personalized acupuncture prescription based on 3DKA results significantly improved motor function, muscle strength, and activities of daily living in patients with PSSP-UL. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR2200056216. Please cite this article as: Huang XY, Liao OP, Jiang SY, Tao JM, Li Y, Lu XY, Li YY, Wang C, Li J, Ma XP. Three-dimensional kinematic analysis can improve the efficacy of acupoint selection for post-stroke patients with upper limb spastic paresis: A randomized controlled trial. J Integr Med. 2025; 23(1): 15-24.
Humans ; Male ; Female ; Middle Aged ; Acupuncture Points ; Upper Extremity/physiopathology* ; Biomechanical Phenomena ; Single-Blind Method ; Aged ; Stroke/therapy* ; Acupuncture Therapy/methods* ; Stroke Rehabilitation/methods* ; Adult ; Muscle Spasticity/therapy* ; Paresis/physiopathology* ; Treatment Outcome

Stroke is the second leading cause of disability and mortality worldwide, imposing a substantial socioeconomic burden on individuals and healthcare systems. Annually, approximately 14 million people experience stroke, with ischemic stroke comprising nearly 85% of cases, of which 10% to 20% involve large vessel occlusions. Currently, recombinant tissue plasminogen activator (tPA) remains the only approved pharmacological intervention. However, its utility is limited due to a narrow therapeutic window and low recanalization rates, making it applicable to only a minority of patients. Therefore, there is an urgent need for novel therapeutic strategies, including pharmacological advancements and combinatory treatments. Small-molecule natural medicines, particularly those derived from traditional Chinese herbs, have demonstrated significant therapeutic potential in ischemic stroke management. These compounds exert multiple neuroprotective effects, such as antioxidation, anti-inflammatory action, and inhibition of apoptosis, all of which are critical in mitigating stroke-induced cerebral damage. This review comprehensively examines the pathophysiology of acute ischemic stroke (AIS) and highlights the recent progress in the development of small-molecule natural medicines as promising therapeutic agents for cerebral ischemic stroke.
Humans ; Ischemic Stroke/physiopathology* ; Animals ; Neuroprotective Agents/therapeutic use* ; Drugs, Chinese Herbal/chemistry* ; Biological Products/therapeutic use* ; Stroke/drug therapy*