History Of Stroke Research Articles

Brain lesion and echocardiogenic predictors of newly detected atrial fibrillation in acute ischemic stroke

ObjectivesAtrial fibrillation (AF) is one of the notorious risk factors in acute ischemic stroke (AIS), and the use of anticoagulants has been shown to be effective in preventing ischemic stroke in AF patients. Therefore, identifying AF in AIS patients has become increasingly important. However, the impact of brain imaging and cardiac indices on the development of new AF after stroke remains unclear. MethodsA consecutive series of AIS patients who were admitted to the Ulsan University Hospital between January 2013 and December 2019 were identified. Patients with relevant ischemic brain lesions on MRI were included, and those without echocardiography data were excluded. We included and classified the AF patients who had the disease prior to or during hospitalization or met the criteria for cryptogenic stroke (CS). Differences in baseline characteristics, stroke risk factors, stroke severity, insular lesion, and echocardiographic data were investigated among each group. ResultsA total of 850 patients were enrolled in the study, comprising 231 patients with AF detected after stroke (AFDAS), 287 patients with known AF (KAF), and 350 patients with CS. Compared with KAF, patients with AFDAS had a lower prevalence of underlying coronary heart disease and stroke history. They had greater right insular cortex lesions and lesser left atrial enlargement in unadjusted analysis. Following adjusted analysis, the involvement of the right insular cortex was found to be associated with the AFDAS patient group (odds ratio, 1.57). When compared to the CS group, AFDAS patients were older, experienced more severe initial strokes, and had similar rates of pre-stroke anticoagulation prescription. Additionally, they demonstrated a higher prevalence of both insular lesions, increased left atrium volume index, reduced ejection fraction, and elevated e/e′ ratio. After adjustment, age, initial stroke severity, insular involvement, left atrium volume index, ejection fraction, and e/e′ ratio were found to be significant. ConclusionsThese results suggest that the right insular cortex lesion on acute stroke may be a cause of AFDAS.

Lower peak expiratory flow rate is associated with a higher risk of pneumonia in patients with stroke.

Low peak expiratory flow (PEF) rate is common in patients with stroke. Studies on changes in PEF rates in patients with stroke often have small sample sizes, limiting the generalizability of their findings. This study aimed to compare the PEF rates between patients who were post-stroke with or without pneumonia and age- and sex-matched healthy controls and explore the PEF-pneumonia association among stroke survivors. Prospective observational study. Department of Rehabilitation, the First Affiliated Hospital of Wenzhou Medical University. Initially, 809 patients with stroke undergoing inpatient rehabilitation were recruited. Data collected included the demographics, stroke history, the presence of dysphagia, and the PEF rates on admission. Logistic regression analysis was conducted to identify the PEF threshold as predictive of pneumonia after adjusting for confounders. Patients with stroke had a mean PEF rate of 243.89±139.38 L/min, significantly lower than that of the normal control group. The PEF rate was significantly lower in the pneumonia group than in the non-pneumonia group (P<0.001). Within the stroke cohort, the PEF rates were lower than the predicted rates (P<0.001). Older age, lower PEF(%),and dysphagia were associated with a higher pneumonia risk post-stroke per stepwise multivariate logistic regression analysis. Furthermore, the combination of these three significant predictors (PEF(%), swallowing function, and age) yielded an area under the curve of 0.857 .Regarding age, the cut-off point of ≥65.5 years was the optimal level to discriminate the presence of pneumonia among patients with stroke. For PEF%,the cut-off point of <60% was the optimal level to discriminate the presence of pneumonia among patients with stroke. For screening dysphagia, the patients with impaired safety only and those with impaired safety and efficacy faced a higher pneumonia risk. Patients with stroke exhibited significantly lower peak expiratory flow rates compared to healthy controls after adjusting for age and sex and when compared to their reference values. Decreased PEF rates were independently associated with pneumonia development during inpatient rehabilitation in post-stroke patients. This study suggests that low PEF rates may predict pneumonia and that the prevention of PEF rate decline may prevent pneumonia development.

Geriatric Pharmacotherapy Case Series: Medications for Diabetes-A Focus on Secondary Stroke Prevention.

This report addresses evidence for efficacy of diabetes medications with a focus on stroke risk reduction. The cardiovascular benefits of SGLT-2 inhibitors and GLP-1 receptor agonists have been well-established; however, clinical trials to date have examined composite cardiovascular endpoints that include, but do not specifically focus on, stroke. The purpose of this case review is to examine the evidence for the various diabetes medications in reducing the risk for stroke. This literature review was inspired by a patient seen in a geriatric day hospital program with diabetes and a history of multiple strokes. Our goal was to select a diabetes management regimen that would provide both glycemic control and stroke risk reduction. As diabetes and cerebrovascular disease commonly coexist and are important contributors to morbidity and mortality in older individuals, appropriate management must incorporate both current evidence as well as consideration for patient-specific factors that may influence the treatment plan. This patient case illustrates the importance of both.

COGNITIVE FUNCTION OF THE ELDERLY IN PALEMBANG CITY NURSING HOMES: AN EPIDEMIOLOGICAL STUDY

Elderly refers to individuals who have reached the final stage of life, namely 60 years old and above. Physiologically, the elderly will experience various declines in body functions. The decline in cognitive function is among the most common in the elderly. The incidence of cognitive decline in the elderly in Indonesia is relatively high, which is as much as 32.4%, and is most vulnerable at the age of 65 years. Cognitive impairment can cause older adults to have difficulty in doing daily activities (bathing, dressing, washing, cooking), managing finances, getting lost on the road, and other disturbances that make the elderly less independent and confident, then tend to withdraw from social activities. The disturbances can also lead to anxiety disorders and depression. This study aims to determine the profile of cognitive function in the elderly at Palembang Nursing Homes. This cross-sectional study involves all elderly individuals in Palembang City Nursing Homes who meet the inclusion-exclusion criteria. The Indonesian version of the Montreal Cognitive Assessment (MoCA-Ina) was used to assess cognitive function. In this study, as many as 69 elderly (87.34%) had experienced a decline in cognitive function. Then, the dominant characteristics in the group that experienced a decrease in cognitive function were &gt;90 years old (100%), women (91.38%), college graduates (100%), never worked (100%), had a history of stroke (92.86%), did not remember or did not know about cognitive impairment history in the family (93.33%). Delayed recall was the aspect that experienced the most disruption (96.2%). This study has revealed that the prevalence of cognitive impairment in Palembang Nursing Homes is exceptionally high. Therefore, it is imperative to implement routine screenings to identify early cognitive impairment in the elderly to provide immediate treatment.

Prevalence and correlates of post-stroke anxiety in Changde, China during 2023 following the lifting of COVID-19 restrictions.

Studies on post-stroke anxiety (PSA) following the lifting of COVID-19 restriction measures are currently lacking. We investigated the factors affecting PSA after full release of COVID-19 epidemic in China. Patients with stroke admitted to the First People's Hospital of Changde City from March 2023 to September 2023 participated in a questionnaire survey comprising a general demographic questionnaire, the Generalized Anxiety Scale-7. Additionally, data on the National Institutes of Health Stroke Scale, modified Rankin Scale, C-reactive protein (CRP), thyroid-stimulating hormone (TSH), homocysteine, TOAST classification, and the stroke site were collected, and the correlations between these indices and the mental health conditions of the patients were evaluated. Among 947 patients, the incidence of PSA was 14.57%.PSA was not linked to prior COVID-19 infection. This study found that Sleep duration (P=0.01), hyperlipidemia (P=0.01), migraine (P=0.02), and family history of stroke (P=0.01) were associated with PSA. Our study found that the prevalence of PSA was 14.57%. In addition, sleep duration, hyperlipidemia, migraine and family history of stroke were independent risk factors for PSA following the lifting of COVID-19 restrictions.

Predictors Of Handgrip Strength And Its Relationship To Physical Performance In Older Irish Adults

Abstract Background Handgrip strength declines with age and predicts poor physical performance and increased risk of falls and mortality. However, the strength of the relationship between handgrip strength and other physical measures is less well studied. We aimed to explore the predictors of handgrip strength in older Irish adults and its relationship to the Timed and Up and Go (TUG). Methods Study participants were from a longitudinal cohort of Irish adults aged &amp;gt;60 years; Trinity Ulster University Department of Agriculture (TUDA) study. Participants on current or long-term steroids, a history of stroke and with MMSE &amp;lt;24 were excluded. Handgrip strength was assessed with a dynamometer and defined as &amp;lt;27 kg for males and &amp;lt;16 kg for females. Abnormal performance in the TUG was defined as &amp;gt;12 seconds. Predictors of impaired handgrip were explored in multivariate logistic regression. Results There were 748 participants (68.9% female, mean age 70.2 years), of whom 33.4% had abnormal handgrip strength, which was more common in female’s vs males (39.4 vs 20.2%, p&amp;lt;0.001). Both abnormal handgrip strength and TUG was present in 13.6%. Normal handgrip strength had a negative predictive value of 76.0% for ruling out poor TUG, while abnormal handgrip had a positive predictive value of 62% for poor TUG. Predictors of impaired handgrip strength were older age (P&amp;lt;0.0001), female sex (p&amp;lt;0.0001), lower protein intake (P=0.024) and higher waist hip ratio (p=0.014). Conclusion Handgrip strength had a modest correlation with TUG A significant proportion had abnormal TUG but normal handgrip. Changes in lower limb muscle strength (affecting TUG) precede muscle loss in the upper limb. Higher protein intake predicted greater grip strength and supports the recommendation to maintain adequate intakes to prevent sarcopenia. Greater waist hip ratio is associated with reduced lean muscle mass which may explain the negative relationship we identified with handgrip strength.

Redo surgical aortic valve replacement for bioprosthetic structural valve deterioration.

To compare isolated primary bioprosthetic surgical aortic valve replacement (SAVR) with isolated redo surgical aortic valve replacement (rSAVR) due to structural valve deterioration (SVD). Clinical data of consecutive patients who underwent primary isolated SAVR and isolated rSAVR due to SVD between January 1, 2011, and December 31, 2022, at Leipzig Heart Center were retrospectively compared with regard to the primary outcome of all-cause mortality or stroke during hospitalization. Secondary outcomes of interest included myocardial infarction, re-exploration for bleeding, and permanent pacemaker implantation. A total of 2620 patients, 39.5% females, with a median EuroSCORE II of 1.7 (interquartile Range [IQR] 1.1; 2.7] were identified, of which rSAVR was performed in 174 patients (6.6%). Patients undergoing primary SAVR were older (69 versus 67 years of age, p = 0.001) and were less likely to have a history of prior stroke (0.9% versus 4.0%, p = 0.003). Although both all-cause death and death or stroke occurred less often following primary SAVR (0.5% versus 5.8%, and 2.2% versus 6.9%, respectively; p < 0.001), prior surgery was not associated with adverse clinical outcome in multivariable analysis. In a matched comparison of 322 patients, rates of death or stroke did not differ between groups (4.8% for both rSAVR and SAVR, p = 1.0). Although redo surgery for SVD is associated with increased rates of early mortality and stroke by univariate analysis, much of this increased risk can be accounted for by comorbidities. Patients undergoing rSAVR on an elective basis can expect an outcome similar to that of primary SAVR.

Understanding the Relationship Between Comorbidities, Medication Nonadherence, Activities of Daily Living, and Heart Condition Status Among Older Adults in the United States: A Regression Analysis and Machine Learning Approach.

Nonadherence to medication among patients with heart disease poses serious risks, including worsened heart failure and increased mortality rates. This study aims to explore the complex interplay between comorbidities, medication nonadherence, activities of daily living, and heart condition status in older American adults, using both traditional statistical methods and machine learning. Data from 326 older adults with heart conditions, drawn from the Health and Retirement Study, were analyzed. Descriptive statistics characterized demographic profiles and comorbidities, whereas logistic regression, multiple regression analyses, and decision tree models were used to address our research inquiries. In addition, a machine learning approach, specifically decision tree models, was integrated to enhance predictive accuracy. Our analysis showed that factors like age, gender, hypertension, and stroke history were significantly linked to worsening heart conditions. Notably, depression emerged as a robust predictor of medication nonadherence. Further adjusted analyses underscored significant correlations between stroke and challenges in basic activities such as dressing, bathing, and eating. Depression correlated significantly with difficulties in dressing, bed mobility, and toileting, whereas lung disease was associated with bathing hindrances. Intriguingly, our decision tree model revealed that patients experiencing dressing challenges, but not toileting difficulties, were more prone to report no improvement in heart condition status over the preceding 2 years. Blending traditional statistics with machine learning in this study reveals significant implications for crafting personalized interventions to improve patients' depression, leading to increased activities of daily living, medication adherence, reduced severity of comorbidities, and ultimately better management of heart conditions.

Proteomic Assessment of the Risk of Secondary Cardiovascular Events among Individuals with CKD.

Cardiovascular risk models have been developed primarily for incident events. Well-performing models are lacking to predict secondary cardiovascular events among people with a history of coronary heart disease, stroke, or heart failure who also have chronic kidney disease (CKD). We sought to develop a proteomics-based risk score for cardiovascular events in individuals with CKD and a history of cardiovascular disease. We measured 4638 plasma proteins among 1067 participants from the Chronic Renal Insufficiency Cohort (CRIC) and 536 individuals from the Atherosclerosis Risk in Communities Cohort (ARIC). All had non-dialysis-dependent CKD and coronary heart disease, heart failure, or stroke at study baseline. A proteomic risk model for secondary cardiovascular events was derived by elastic net regression in CRIC, validated in ARIC, and compared to clinical models. Biologic mechanisms of secondary events were characterized through proteomic pathway analysis. A 16-protein risk model was superior to the Framingham risk score for secondary events, including a modified score that included estimated glomerular filtration rate (eGFR). In CRIC, the annualized area under the receiver operating characteristic (AUC) within 1 to 5 years ranged between 0.77 and 0.80 for the protein model and 0.57 and 0.72 for the clinical models. These findings were replicated in the ARIC validation cohort. Biologic pathway analysis identified pathways and proteins for cardiac remodeling and fibrosis, vascular disease, and thrombosis. The proteomic risk model for secondary cardiovascular events outperformed clinical models based on traditional risk factors and eGFR.

Apixaban as a Secondary Prophylaxis Agent for Patent Foramen Ovale-Associated Stroke.

Background: The purpose of this case report is to describe a case of switching warfarin to apixaban in a patient on anticoagulant prophylaxis for a patent foramen ovale (PFO)-associated stroke. Case Summary: An 86-year-old Afro-Latina female with a past medical history of cerebrovascular accident (CVA) in 2012 secondary to PFO and diagnosed Atrial Fibrillation (AF). Patient was switched from warfarin to apixaban after 3months of labile international normalized ratio (INR) levels. The patient's INR was monitored at a pharmacist-led anticoagulation clinic. As the patient's INR remained subtherapeutic while on warfarin, a shared decision was made to switch the patient to apixaban 2.5mg twice daily due to consistently painful enoxaparin injections, inconsistent vitamin K intake, frequent clinic visits and unstable renal function. Patient tolerated the anticoagulant switch well and reported satisfaction with decreased clinic visits and variable vitamin K diet. At 12months post-switch, the patient's complete blood count remains stable, no reported signs and symptoms of bleeding, and no new CVA or venous thromboembolism (VTE) events identified. Based on an improvement in renal function, the dose was increased to 5mg twice daily.

Prevalence of vitamin C deficiency and its association with stroke risk among U.S. adult population: A cross-sectional analysis spanning 15 years with over 13,000 participants

Background: Stroke presents a significant global health challenge. Despite its potential for cardiovascular protection, the role of vitamin C (VTMC) in stroke risk remains contentious. Aim: This study aimed to assess VTMC deficiency in stroke patients and its association with stroke risk. Methods: We analyzed data from 13,339 adults aged 20 and above in the National Health and Nutrition Examination Survey (NHANES) between 2003 and 2018, excluding those with missing serum VTMC and stroke status. We assessed the VTMC deficiency (&lt;11.4 µmol/L) and stroke incidence association using multivariate weighted logistic regression, adjusting for demographics, BMI, medical history, smoking, and dietary VTMC intake. Results: Stroke rates in the NHANES cycles 2003–2006 and 2017–2018 were 2.8% (95% CI [2.3–3.4]) and 3.3% (95% CI [2.7–4.2]), respectively. VTMC deficiency was more common in individuals with a history of stroke, with rates of 3.6% (95% CI [2.2–5.8]) and 5.3% (95% CI [3–9.1]) compared to 2.7% (95% CI [2.3–3.3]) and 3.2% (95% CI [2.5–4.1]) in the nonstroke population. Nevertheless, VTMC deficiency was distinctly prevalent across diverse demographic and health-related subgroups. Multivariate analyses invalidated any statistically significant association between VTMC deficiency and stroke risk across all employed analytical models within both time intervals. Conclusions: Our study does not support a link between VTMC deficiency and increased stroke risk in U.S. adults. Substantial uncertainties persist regarding the use of VTMC for stroke-related oxidative stress, dosage, and delivery methods, requiring further clinical trials. Healthcare providers should carefully consider its prevalence in specific subgroups.

Seizure Induced by Single-Pulse TMS Delivered to Lesioned Hemisphere in Stroke

Abstract Transcranial magnetic stimulation (TMS) is used for therapeutic and research purposes, but it is still important to establish safety guidelines and recommendations mainly related to serious adverse effect (SAE). As part of this, safety reports need to be published. Our report highlights a case of a male patient who was a 30-year-old with a history of hemorrhagic stroke following an accidental seizure episode during a single-pulse TMS.

Scrambler therapy for treatment of poststroke pain

AbstractObjectiveStrokes involving sensory pathways can result in contralesional pain syndromes often refractory to pharmacologic interventions. Scrambler therapy (ST) is a noninvasive electroanalgesia device used to treat pain caused by peripheral neuropathy; however, data are scarce regarding its use in conditions secondary to central nervous system pathology. We evaluate the efficacy of ST to treat poststroke pain.MethodsTwenty patients with a history of prior stroke resulting in contralesional pain were randomized to receive ST or Sham as an adjunct to their stable medication regimen. Participants underwent 5 consecutive daily 40‐min sessions. The study was blinded to patient and assessor. Pain scores (0–10) were recorded at baseline, pre‐ and postsession, and 4 weeks after final treatment. Student's t‐tests compared differences in the mean change in pain score between groups immediately post‐treatment #5, and at 4‐weeks. The chi‐squared analysis compared the proportion of patients in each group with &gt;50% pain reduction.ResultsParticipants randomized to ST had a mean change in pain score of −3.73 (SD 2.85) postintervention and −2.57 (SD 2.07) at 4 weeks, while the Sham group had a mean change in score of −0.94 (SD 1.36) and −0.25 (SD 0.84) (p between groups = 0.012, 0.004, respectively). Significantly more participants treated with ST reported a &gt;50% reduction in pain immediately postintervention compared to Sham (70% vs. 10%, p = 0.006), but not at follow‐up (30% vs. 10%, p = ns).InterpretationST may effectively decrease poststroke pain compared to Sham. Larger studies are needed to evaluate confounders such as stroke location, time from stroke, and concomitant treatment with medications.

Association of Atrial Fibrillation and Cognitive Dysfunction: A Comprehensive Narrative Review of Current Understanding and Recent Updates.

Atrial fibrillation (AF) is the most common sustained arrhythmia in adults. The prevalence of both AF and dementia is steadily rising and is expected to rise further in the coming decades. There is increasing evidence to suggest an association between AF and various degrees of cognitive dysfunction, from mild cognitive impairment to severe dementia. In this review, we aimed to discuss the epidemiological aspects, pathophysiological mechanisms, role of neuroimaging, impact of treatment modalities, and clinical and socioeconomic impact of this association. Numerous observational studies and meta-analyses have revealed this association to exist in AF patients with and without a history of stroke, and the association also persists after adjusting for shared risk factors such as hypertension and diabetes mellitus. Various pathophysiological mechanisms have been proposed for this association, including silent cerebral infarcts, cerebral microbleeds, cerebral hypoperfusion, inflammation, and atherosclerosis. While neuroimaging findings have been utilized to suggest some of these pathophysiological mechanisms, more studies are needed to further elucidate this and to determine the potential role of neuroimaging in altering anticoagulation and other treatment decisions. Anticoagulants have shown effectiveness in reducing the rate of cognitive decline in AF patients; however, their role in low-risk AF patients remains under investigation. Even though AF patients receiving catheter ablation may have post-operative cognitive dysfunction in the short term, long-term follow-up studies have shown an improvement in cognitive function following ablation. Cognitive decline in AF patients often occurs with greater functional decline and other psychosocial impairments such as depression and anxiety and future research on this association must incorporate aspects of social determinants of health and associated outcomes.

Platelet-to-neutrophil ratio predicts hemorrhagic transformation and unfavorable outcomes in acute ischemic stroke with intravenous thrombolysis.

Acute ischemic stroke (AIS) retains a notable stance in global disease burden, with thrombolysis via recombinant tissue plasminogen activator (rtPA) serving as a viable management approach, albeit with variable outcomes and the potential for complications like hemorrhagic transformation (HT). The platelet-to-neutrophil ratio (P/NR) has been considered for its potential prognostic value in AIS, yet its capacity to predict outcomes following rtPA administration demands further exploration. To elucidate the prognostic utility of P/NR in predicting HT and clinical outcomes following intravenous rtPA administration in AIS patients. Data from 418 AIS patients treated with intravenous rtPA at Thammasat University Hospital from January 2018 to June 2021 were retrospectively analyzed. The relationship between P/NR and clinical outcomes [early neurological deterioration (E-ND), HT, delayed ND (D-ND), and 3-mo outcomes] was scrutinized. Notable variables, such as age, diabetes, and stroke history, exhibited statistical disparities when comparing patients with and without E-ND, HT, D-ND, and 3-mo outcomes. P/NR prognostication revealed an optimal cutoff of 43.4 with a 60.3% sensitivity and a 52.5% specificity for 90-d outcomes. P/NR prognostic accuracy was statistically significant for 90-d outcomes [area under the curve (AUC) = 0.562], D-ND (AUC = 0.584), and HT (AUC = 0.607). P/NR demonstrated an association with adverse 3-mo clinical outcomes, HT, and D-ND in AIS patients post-rtPA administration, indicating its potential as a predictive tool for complications and prognoses. This infers that a diminished P/NR may serve as a novel prognostic indicator, assisting clinicians in identifying AIS patients at elevated risk for unfavorable outcomes following rtPA therapy.

Prevalence and determinant of long-term Post-COVID conditions among stroke survivors in the United States

BackgroundPersistent post-COVID conditions (PCCs) have become inevitable challenges for individuals who have survived COVID. The National Research Plan on Long COVID-19 underscores the priority of addressing post-COVID conditions (PCCs) within specific subgroups of the United States (US) population. This study aimed to investigate the prevalence and factors associated with PCCs among stroke survivors in the US. MethodIn this retrospective cross-sectional study, we utilized the Behavioral Risk Factor Surveillance System (BRFSS) 2022 dataset. First, we identified respondents with a positive history of both COVID-19 and stroke. Subsequently, we categorized these respondents based on whether they experienced PCCs and conducted a comparative analysis of their characteristics. Additionally, our study included a comparison of our findings with those among individuals who have survived myocardial infarction (MI) and cancer. ResultsA total of 3999 stroke, 5406 MI, and 10551 cancer survivors were included. The estimated prevalence of PCCs among stroke survivors was 30.6 %, compared to 22.4 %, 29.2 %, and 24.6 % among non-stroke (p < 0.001), MI, and cancer survivors, respectively. Fatigue, dyspnea, and taste/smell loss were the most common primary symptoms. In multivariate regression analysis, female sex (adjusted odds ratio (aOR):1.62, 95 %CI:[1.17-2.24]), stroke-belt residence (aOR:1.67, 95 %CI: [1.13-2.46]), pulmonary disease (aOR:2.12, 95 %CI:[1.53-2.92]), and depression (aOR:1.55, 95 %CI: [1.1-2.2]) were independent factors associated with higher odds of PCCs among stroke survivors. Additionally, age above 64 years was associated with lower odds of PCCs (aOR:0.6, 95 %CI: [0.41-0.86]). ConclusionOur study highlights a considerable prevalence of PCCs among stroke survivors, particularly among younger women and individuals with other chronic conditions.

Simple Geographic Distribution of Patients with Stroke According to their Medical Care Financing System in a Private University Hospital

Aims: To reveal the geographical distribution of stroke patients in a private university hospital in Jakarta, Indonesia according to their address and further divide them into three sub group of using universal health coverage (UHC) vs other type of insurance ((OTI) vs private non insurance patient (private) Study Design: simple retrospective cross-sectional study. Place and Duration of Study: Sample: Medical record from patients of the Department of Neurology, Rumah Sakit Universitas Kristen Indonesia, Jakarta Indonesia; a private university hospital located in Jakarta Indonesia, between January 2021 and December 2023. Methodology: We analyzed medical record of 162 patients (90 men, 72 women; age range 15-87 years (mean age 61.12 SE± .82) with history of stroke and at the present routinely underwent routine medical control (outpatient) or with current diagnosis of stroke (inpatient in our hospital). We further divided them based on their medical care financing system (UHC vs OTI vs private) and using the help from GPS service made available by Google Maps™ we simply try to make a geographical distribution of those patients based on their address/residence location Results: Geographical distribution of patients using UHC were closer to the hospital compared to the other 2 non UHC medical care financing users. Conclusion: Our analysis regarding stroke patients in our hospital (2021-2023), we found that 55.6% male patients, 42% were in the range of age between 55-64 years old, most of the patient (94.4%) using BPJS as their medical care financing system, with 27.7% came from sub district Makkasar which is near from our hospital. Further analysis using the help of Google maps™ we can show that the UHC or BPJS health referral system has facilitated patients receiving health services at the health facility closest to their residence.

Myxomatous cause of multiple intracranial aneurysms and cognitive decline: a case report

BackgroundThe occurrence of cerebral aneurysm in a case of cardiac myxoma is rare with less than 60 cases reported worldwide. The course of management is still debatable given its rarity. We present a case of multiple intracranial aneurysms secondary to atrial myxoma in a young lady with a brief review of the literature.Case presentationA young lady in her late 30s with a history of right middle cerebral artery territory stroke eight years ago presented with gradually progressive symptoms in the form of holocranial headache, inattention and forgetfulness for the last few years. On neuroimaging, she was found to have multi-territorial lacunar infarcts and multiple intracranial artery aneurysms which was confirmed with a digital subtraction angiogram. A cardiac evaluation revealed a left atrial myxoma. The aetiology of subcortical cognitive decline and intracranial aneurysms was attributed to the myxoma with secondary myxomatous embolism. Other secondary causes were ruled out. She is being followed up medically after resection of the myxoma.ConclusionIntracranial aneurysms are rare complications of cardiac myxoma which may present before, concurrent or many years after diagnosis of the myxoma. Nonspecific neurological complaints occasionally are the ominous signs of intracranial aneurysms which mandate a low threshold for neuroimaging in a case of cardiac myxoma. Given the absence of definitive risk factors and unclear natural history, clinical and radiological follow-ups are critical.Learning PointsIntracranial aneurysms are rare complications of cardiac myxoma that may present before, concurrent or many years after diagnosis of the myxoma.Special attention must be given to nonspecific neurological complaints with a low threshold for neuroimaging in those with a prior history of cardiac myxoma.Given the absence of definitive risk factors and unclear natural history, clinical and radiological follow-up including conventional angiography and/or magnetic resonance imaging is critical.

Stroke Measures Analysis of pRognostic Testing-Mortality nomogram predicts long-term mortality after ischemic stroke.

Predicting long-term mortality is essential for understanding prognosis and guiding treatment decisions in patients with ischemic stroke. Therefore, this study aimed to develop and validate the method for predicting 1- and 5-year mortality after ischemic stroke. We used data from the linked dataset comprising the administrative claims database of the Health Insurance Review and Assessment Service and the Clinical Research Center for Stroke registry data for patients with acute stroke within 7 days of onset. The outcome was all-cause mortality following ischemic stroke. Clinical variables linked to long-term mortality following ischemic stroke were determined. A nomogram was constructed based on the Cox's regression analysis. The performance of the risk prediction model was evaluated using the Harrell's C-index. This study included 42,207 ischemic stroke patients, with a mean age of 66.6 years and 59.2% being male. The patients were randomly divided into training (n = 29,916) and validation (n = 12,291) groups. Variables correlated with long-term mortality in patients with ischemic stroke, including age, sex, body mass index, stroke severity, stroke mechanisms, onset-to-door time, pre-stroke dependency, history of stroke, diabetes mellitus, hypertension, coronary artery disease, chronic kidney disease, cancer, smoking, fasting glucose level, previous statin therapy, thrombolytic therapy, such as intravenous thrombolysis and endovascular recanalization therapy, medications, and discharge modified Rankin Scale were identified as predictors. We developed a predictive system named Stroke Measures Analysis of pRognostic Testing-Mortality (SMART-M) by constructing a nomogram using the identified features. The C-statistics of the nomogram in the developing and validation groups were 0.806 (95% confidence interval (CI), 0.802-0.812) and 0.803 (95% CI, 0.795-0.811), respectively. The SMART-M method demonstrated good performance in predicting long-term mortality in ischemic stroke patients. This method may help physicians and family members understand the long-term outcomes and guide the appropriate decision-making process.

Role of interatrial block in modulating cryptogenic stroke risk in patients with patent foramen ovale: a retrospective study

BackgroundThe patent foramen ovale (PFO) and interatrial block (IAB) are associated with cryptogenic stroke (CS). However, the role of the interaction between PFO and IAB in CS remains unclear.MethodsThis case–control study enrolled 256 patients with CS and 156 individuals without a history of stroke or transient ischemic attack. IAB was defined as P wave duration > 120 ms. PFO was evaluated by contrast transesophageal echocardiography, and classified as no-PFO, low-risk PFO and high-risk PFO. Multiplicative and additive interaction analysis were used to assess the interaction between PFO and IAB in CS.ResultsMultiplicative interaction analysis unveiled a significant interaction between IAB and low-risk PFO in CS (OR for interaction = 3.653, 95% CI, 1.115–12.506; P = 0.037). Additive interaction analysis indicated that 68.4% (95% CI, 0.333–1.050; P < 0.001) of the increased risk of CS related to low-risk PFO was attributed to the interaction with IAB. The results were robust in multivariate analysis. However, but no significant multiplicative or additive interaction was observed between IAB and high-risk PFO. When stratified by IAB, high-risk PFO was associated with CS in both patients with IAB (OR, 4.186; 95% CI, 1.617–10.839; P = 0.003) and without IAB (OR, 3.476; 95% CI, 1.790–6.750; P < 0.001). However, low-risk PFO was only associated with CS in patients with IAB (OR, 2.684; 95% CI, 1.007–7.149; P = 0.048) but not in those without IAB (OR, 0.753; 95% CI, 0.343–1.651; P = 0.479).ConclusionThe interaction between IAB and PFO might play an important role in CS, particularly in cases with low-risk PFO.