scholarly journals Elevated ESRS, serum FIB, Hcy and stroke history were independent risk factors to PAIS

Pteridines ◽  
2018 ◽  
Vol 29 (1) ◽  
pp. 165-171
Author(s):  
Tao Zhang ◽  
Huiyun Li ◽  
Ling Li ◽  
Faying Zhou
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Pearson Correlation ◽  
Statistical Significance ◽  
Pearson Correlation Test ◽  
Independent Risk Factors ◽  
Definition Of ◽  
Sensitivity Specificity ◽  
Medical University

Abstract Background: The aim of this study was to investigate the diagnostic performance of serum homocysteine (Hcy) and Essen stroke risk score (ESRS) in prediction of progressing acute ischemic stroke (PAIS).Methods One hundred and thirty two acute ischemic stroke (AIS) patients were retrospectively recruited from Daping Hospital, Third Military Medical University from February 2016 to January 2018. The 132 AIS patients were divided into PAIS and non-progressing AIS (NPAIS) groups according to the definition of PAIS. The clinical characteristics, serum Hcy concentration, and ESRS were compared between the PAIS and NPAIS groups. The independent risk factors for PAIS were evaluated by logistic regression analysis. The prediction sensitivity, specificity and area under the ROC curve (AUC) of serum Hcy and ESRS for PAIS were calculated using STATA11.0 software.Results: The elevated ESRS (OR=1.82, p<0.05), serum fibrinogen (FIB) (OR=1.18, p<0.05), Hcy (OR=1.21, p<0.05) and personal stroke history (OR=1.74, p<0.05) were independent risk factors for PAIS. The serum Hcy of the PAIS and NPAIS groups were 24.59±9.24 (μmol/L) and 18.20±8.29 (μmol/L) respectively with a statistical significance of p<0.05. The ESRS were 3.43±1.09 and 2.60±0.92 for the PAIS and NPAIS groups respectively, with a significance of p<0.05. The prediction sensitivity, specificity and AUC were 76.24%, 67.74% and 0.73 (95%CI:0.63-0.83), respectively, for serum Hcy. For ESRS, the prediction sensitivity, specificity and AUC were 69.99%, 64.52% and 0.74 (95%CI:0.63-0.84) respectively. Correlation between serum Hcy and ESRS was evaluated by a Pearson correlation test. Significant positive correlation between serum Hcy and ESRS was found in PAIS (r=0.54, p<0.05), and NPAIS patients (r=0.78, p<0.01).Conclusion: Patients with elevated ESRS, serum FIB, Hcy and stroke history had an elevated risk of developing PAIS.

scholarly journals Neutrophil-to-lymphocyte Ratio as a Risk Determinant of Hemorrhage Transformation in Acute Ischemic Stroke

2020 ◽  
pp. 8-16
Author(s):  
Shuang Ma ◽  
Bilal Muhammad ◽  
Shu Kan ◽  
Zhen-Ying Shang ◽  
Li Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Multivariate Logistic Regression Analysis ◽  
Hemorrhagic Transformation ◽  
Neutrophil To Lymphocyte Ratio ◽  
Optimal Cutoff ◽  
Ischemic Lesion ◽  
Lymphocyte Ratio ◽  
Independent Risk Factors

Objective: The purpose of this study was to investigate the clinical significance between neutrophil-to-lymphocyte ratio (NLR) and classification of non-thrombolytic hemorrhagic transformation (HT) in acute ischemic stroke (AIS), to unravel new diagnostic approach. Methods: We recruited and selected 636 patients who did not undergo thrombolytic therapy between May 2018 and April 2019 at the Affiliated Hospital of Xuzhou Medical University. The laboratory and clinical data were collected within 24 h after the onset of AIS. Based on the status of HT development during hospitalization, all participants were divided into three groups, namely, the non-HT (NHT) group, hemorrhagic infarction (HI) group, and parenchymal hematoma (PH) group. Results: Multivariate logistic regression analysis showed that NLR and the ischemic lesion diameter are independent risk factors of HI and PH, while the score of National Institutes of Health Stroke Scale (NIHSS) and cardioembolism are considered to be independent risk factors for PH only. Receiver operating characteristic (ROC) analysis determined that the optimal cutoff values of NLR in HI group and PH group were 3.75 and 3.97, respectively. The optimal cutoff value can be used as the critical value for the unfavorable outcome. Conclusion: NLR values were significantly increased and correlated with both HI and PH groups and NLR could be used as a predictor of both HI and PH.

Development of a prediction model for 1-year poor prognosis in patients with acute ischemic stroke

2019 ◽  
Vol 67 (6) ◽  
pp. 957-963 ◽  
Author(s):  
Xia Ling ◽  
Bo Shen ◽  
Kangzhi Li ◽  
Lihong Si ◽  
Xu Yang
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Ischemic Stroke ◽  
Prediction Model ◽  
Acute Ischemic Stroke ◽  
Poor Prognosis ◽  
Multivariate Logistic Regression ◽  
Lemeshow Test ◽  
Independent Risk Factors ◽  
Auc Value

The goals of this study were to develop a new prediction model to predict 1-year poor prognosis (death or modified Rankin scale score of ≥3) in patients with acute ischemic stroke (AIS) and to compare the performance of the new prediction model with other prediction scales. Baseline data of 772 patients with AIS were collected, and univariate and multivariate logistic regression analyses were performed to identify independent risk factors for 1-year poor prognosis in patients with AIS. The area under the receiver operating characteristics curve (AUC) value of the new prediction model and the THRIVE, iScore and ASTRAL scores was compared. The Hosmer-Lemeshow test was used to assess the goodness of fit of the model. We identified 196 (25.4%) patients with poor prognosis at 1-year follow-up, and of these 68 (68/196, 34.7%) had died. Multivariate logistic regression and receiver operating characteristic curve analyses showed that age ≥70 years, consciousness (lethargy or coma), history of stroke or transient ischemic attack, cancer, abnormal fasting blood glucose levels ≥7.0 mmol/L, and National Institutes of Health Stroke Scale score were independent risk factors for 1-year poor prognosis in patients with AIS. Scores were assigned for each variable by rounding off β coefficient to the integer score, and a new prediction model with a maximum total score of 9 points was developed. The AUC value of the new prediction model was higher than the THRIVE score (p<0.05). The χ2 value for the Hosmer-Lemeshow test was 7.337 (p>0.05), suggesting that the prediction model had a good fit. The new prediction model can accurately predict 1-year poor prognosis in Chinese patients with AIS.

Risk Factors That Affect Diffusion-Weighted Imaging Results on Patients with Acute Ischemic Stroke: A Retrospective Analysis

2021 ◽  
Vol 11 (12) ◽  
pp. 3062-3065
Author(s):  
Kangyi Pan ◽  
Yujia Shen ◽  
Huaping Sun
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Hospital Admission ◽  
Acute Ischemic Stroke ◽  
Diffusion Weighted Imaging ◽  
Dependent Manner ◽  
Diffusion Weighted ◽  
Imaging Results ◽  
Patient Groups ◽  
Independent Risk Factors

Background: Diffusion-weighted imaging (DWI) may not always provide positive results for acute ischemic stroke diagnosis (AIS). In the present study, we aim to identify risk factors that affect the frequency of inconsistent DWI results in patients with AIS. Methods: A total of 212 patients diagnosed with AIS underwent DWI at the time of hospital admission and 24 hours after AIS was diagnosed. According to the outcome of the two DWI results, patients were classfied into the inconsistent group (negative for initial scan, but positive for second scan) and the consistent group (negative or positive for both scans). A number of parameters were compared between the two patient groups, including demographic characteristics, disease history, imaging time, cause of stroke and NIHSS score at admission. Univariate and multivariate analysis were employed to predict the independent risk factors for inconsistent DWI results. Results: We found that prior stroke experience, time of initial DWI scan prior to the diagnosis of AIS (also referred as DWI latency) and time between the first and second DWI were all significantly different between the two patient groups. All 3 factors were also identified as independent risk factors for the inconsistent DWI results. In addition, probability of DWI latency shows an increasing trend in a time-dependent manner up to 3 hours. Conclusion: Our data indicate that DWI should be performed within three hours since hospital admission and repeated within 24 hours after AIS is diagnosed, especially for the patients that showed negative results in the initial scan.

scholarly journals In-hospital recurrence in a Chinese large cohort with acute ischemic stroke

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Fan Yu ◽  
Xiaolu Liu ◽  
Qiong Yang ◽  
Yu Fu ◽  
Dongsheng Fan
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Hospital Mortality ◽  
Hospital Stay ◽  
Acute Ischemic Stroke ◽  
Recurrent Events ◽  
Early Stage ◽  
High Rate ◽  
Large Artery ◽  
Stroke Event

Abstract Acute ischemic stroke (AIS) has a high risk of recurrence, particularly in the early stage. The purpose of this study was to assess the frequency and risk factors of in-hospital recurrence in patients with AIS in China. A retrospective analysis was performed of all of the patients with new-onset AIS who were hospitalized in the past three years. Recurrence was defined as a new stroke event, with an interval between the primary and recurrent events greater than 24 hours; other potential causes of neurological deterioration were excluded. The risk factors for recurrence were analyzed using univariate and logistic regression analyses. A total of 1,021 patients were included in this study with a median length of stay of 14 days (interquartile range,11–18). In-hospital recurrence occurred in 58 cases (5.68%), primarily during the first five days of hospitalization. In-hospital recurrence significantly prolonged the hospital stay (P < 0.001), and the in-hospital mortality was also significantly increased (P = 0.006). The independent risk factors for in-hospital recurrence included large artery atherosclerosis, urinary or respiratory infection and abnormal blood glucose, whereas recurrence was less likely to occur in the patients with aphasia. Our study showed that the patients with AIS had a high rate of in-hospital recurrence, and the recurrence mainly occurred in the first five days of the hospital stay. In-hospital recurrence resulted in a prolonged hospital stay and a higher in-hospital mortality rate.

scholarly journals EGFR-mutant NSCLC presenting with stroke and massive systemic embolization as the first manifestation: case report

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zheng Wang ◽  
Jiangyong Miao ◽  
Lina Wang ◽  
Ying Liu ◽  
Hui Ji ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Cancer Therapy ◽  
Acute Ischemic Stroke ◽  
Oral Anticoagulants ◽  
Initial Manifestation ◽  
Arterial Thromboembolism ◽  
Systemic Embolization ◽  
Effective Cancer Therapy

Abstract Background Presentation with massive systemic embolization as the initial manifestation of occult malignancy is infrequent. The standard management of cancer-related arterial thromboembolism has not yet been established. Case presentation We described a case of Trousseau’s syndrome resulting in acute ischemic stroke concomitant with multiple embolizations in the spleen and kidney during oral administration of dabigatran for pulmonary embolism preceding the diagnosis of a malignant tumor. A cancer-related hypercoagulable state was suspected because the patient was admitted to the neurology department due to acute ischemic stroke with three territory infarcts on diffusion-weighted imaging (DWI) in the absence of identifiable conventional risk factors and brain vessel narrowing. The patient was subsequently diagnosed with epidermal growth factor receptor (EGFR) mutation–positive non-small-cell lung cancer (NSCLC) (stage IV) with pleural metastasis. Administration of low-molecular-weight heparin followed by long-term dabigatran under effective cancer therapy comprising gefitinib and subsequent chemotherapy did not cause stroke relapse during the 1-year follow-up. Conclusions This case suggests that cancer-related hypercoagulability should be considered an important etiology for stroke patients who develop unexplained disseminated acute cerebral infarction without conventional stroke risk factors, especially concomitant with multiple organ embolization. Novel oral anticoagulants may be an alternative therapy for the long-term management of cancer-related arterial thromboembolism under effective cancer therapy.

Abstract WP182: Trends in Acute Ischemic Stroke Hospitalizations and Risk Factors Among Young Adults: 12 Years of Nationally Representative Data

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Urvish K Patel ◽  
Priti Poojary ◽  
Vishal Jani ◽  
Mandip S Dhamoon
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Young Adults ◽  
Ischemic Stroke ◽  
Length Of Stay ◽  
Acute Ischemic Stroke ◽  
Stroke Risk ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Stroke Risk Factors

Background: There is limited recent population-based data of trends in acute ischemic stroke (AIS) hospitalization rates among young adults (YA). Rising prevalence of stroke risk factors may increase stroke rates in YA. We hypothesized that 1) stroke hospitalizations and mortality among YA are increasing over time (2000-2011), 2) besides traditional stroke risk factors, non-traditional factors are associated with stroke in YA, 3) stroke hospitalization among YA is associated with higher mortality, length of stay (LOS), and cost. Methods: In the Nationwide Inpatient Sample database (years 2000-2011), adult hospitalizations for AIS and concurrent diagnoses were identified by ICD-9-CM codes; the analytic cohort constituted all AIS hospitalizations. We performed weighted analysis using chi-square, t-test, and Jonckheere trend test. Multivariable survey regression models evaluated interactions between age group (18-45 vs. >45 years) and traditional and non-traditional risk factors, with outcomes including mortality, LOS, and cost. Models were adjusted for race, sex, Charlson’s Comorbidity Index, primary payer, location and teaching status of hospital, and admission day. Results: Among 5220960 AIS hospitalizations, 231858 (4.4%) were YA. On trend analysis, proportion of YA amongst AIS increased from 3.6% in 2000 to 4.7% in 2011 (p<0.0001) but mortality in YA decreased from 3.7% in 2000 to 2.6% in 2011, compared to 7.1% in 2000 to 4.6% in 2011 (p<0.0001) among older adults. Non-traditional, especially behavioral, risk factors were more common among YA, and LOS and cost were higher (Table). Conclusion: There was a trend for higher proportion of YA among AIS hospitalizations, though there was a decreasing mortality trend over 10 years. Behavioral risk factors were more common among YA, and there was an increased length of stay and cost. AIS in YA may require different preventive approaches compared to AIS among older adults.

Abstract TP208: Sleep Disordered Breathing (SDB) - An Overlooked Modifiable Risk Factor in Acute Stroke Care

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Vishal Shah ◽  
Ashrai Gudlavalleti ◽  
Julius G Latorre
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Acute Stroke ◽  
Acute Ischemic Stroke ◽  
Sleep Disordered Breathing ◽  
Modifiable Risk Factor ◽  
Inclusion Criteria ◽  
Risk Of Death ◽  
Disordered Breathing

Introduction: In patients with acute stroke, part of the acute management entails identifying the risk factors; modifiable or non modifiable. Early recognition of these factors is essential for optimizing therapeutic procedures, especially those with a known effective treatment. In this sense, Sleep Disordered Breathing (SDB) has also been suggested as a modifiable and independent risk factor for stroke as defined by international guidelines and some studies have demonstrated that patients with stroke and particularly Obstructive Sleep Apnea (OSA) have an increased risk of death or new vascular events. Pathogenesis of ischemic stroke in SDB is probably related to worsening of existing cardiovascular risk factors such as hypertension and hypoxia driven cardiac arrhythmia leading to higher prevalence of ischemic stroke in patients with sleep disordered breathing disease. Despite strong evidence linking SDB to ischemic stroke, evaluation for SDB is rarely performed in patients presenting with an acute ischemic stroke. Hypothesis: Evaluation of SDB is rarely performed in patients presenting with acute ischemic stroke. Methods: We performed a retrospective review of all patients above the age of 18 who were admitted to the acute stroke service at University Hospital July 2014 to December 2014. Demographic data, etiology of stroke as identified per TOAST criteria, modifiable risk factors, presenting NIHSS and frequency of testing for SDB and their results were collected. The data was consolidated and tabulated by using STATA version 14. Results: Total of 240 patients satisfied our inclusion criteria. Only 24 patients ie 10% of those who satisfied our inclusion criteria received evaluation for SDB. Out of those evaluated, 62.5% ie 15 patients out of 24 patients had findings concerning for significant desaturation. Only 2 providers out of 8 stroke physicians ie 25% tested for SDB in more than 5 patients. Conclusions: Our observations highlight the paucity in evaluation for SDB in acute ischemic stroke in a tertiary care setting. Being a modifiable risk factor, greater emphasis must be placed on evaluation for SDB in patients in patients with acute stroke. Education must be provided to all patients and providers regarding identification of these factors.

Abstract TP476: White Matter Hyperintensity Burden is Associated With Poor Collateral Flow and Worse Outcomes in an Acute Ischemic Stroke Cohort

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Rami-James Assadi ◽  
Hongyu An ◽  
Yasheng Chen ◽  
Andria Ford ◽  
Jin-Moo Lee
Keyword(s):  
Ischemic Stroke ◽  
White Matter ◽  
Acute Ischemic Stroke ◽  
Pearson Correlation ◽  
Stroke Onset ◽  
White Matter Hyperintensity ◽  
Flow Index ◽  
Acute Ischemia ◽  
Collateral Flow ◽  
Core Volume

Introduction: White matter hyperintensity volume (WMHv), a quantitative neuroimaging biomarker of cerebral small vessel disease (CSVD), is associated worse outcomes after ischemic stroke. In this study, we hypothesized that worse outcomes in CSVD patients were due to poor collateral flow during acute ischemia. Methods: 47 patients with acute ischemic stroke (AIS) were prospectively enrolled in this study. Serial MRIs were performed at 3 hours and 30 days after stroke onset. 3-hour FLAIR images were used to determine WMHv, after manually delineating lesions with MIPAV. An index of collateral flow (delayed perfusion to the penumbra) was determined by subtracting core volume (volume of tissue with ADC<600) from the volume of brain tissue with Tmax>2. Patient’s NIHSS was scored at 3 hours and 30 days after stroke onset and the difference was calculated (ΔNIHSS). Log-transformed WMHv was correlated to ΔNIHSS and the collateral flow index, using Pearson correlation. Results: Mean age = 63.9 years (SD 13.5); 37% female; median 3-hour NIHSS = 13 (IQR 6.5-20); median change in NIHSS between 3h and 30d = 4 (IQR: 0-7); median core volume = 13cm3 (IQR 4.3-35.6); median WMHv = 1.257cm3 (IQR 641-3595). WMHv was associated with reduced improvement in ΔNIHSS (R=-0.42, ρ=0.005). Furthermore, WMHv demonstrated a trend for association with poor collateral flow (R=-0.28, ρ=0.062). In this dataset, we will explore the relationship between WMHv and other tissue-based metrics of collateral flow, including the hypoperfusion intensity ratio (HIR) and the cerebral blood volume ratio (rCBV). Conclusions: Our study confirms that patients with CSVD have worse outcomes after AIS. The data also raise the possibility that these worse outcomes in CSVD patients may be mediated by compromised collateral flow in the setting of acute ischemia.

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