Risk factors and ambulatory outcome in ischemic stroke patients with pre-stroke depression

2021 ◽  
Author(s):  
Marvin Okon ◽  
Brice Blum ◽  
Thomas I. Nathaniel
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Stroke Patients

Risk Factors of Recurrent Ischemic Events after Acute Noncardiogenic Ischemic Stroke

2020 ◽  
Vol 25 (45) ◽  
pp. 4827-4834 ◽  
Author(s):  
Limin Zhang ◽  
Xingang Li ◽  
Dongzhi Wang ◽  
Hong Lv ◽  
Xuezhong Si ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Operating Characteristic ◽  
Control Group ◽  
Case Group ◽  
Stroke Patients ◽  
Clopidogrel Therapy ◽  
Ischemic Events

Background: A considerable proportion of acute noncardiogenic ischemic stroke patients continue to experience recurrent ischemic events after standard therapy. Aim: We aimed to identify risk factors for recurrent ischemic event prediction at an early stage. Methods : 286 non-cardioembolic ischemic stroke patients with the onset of symptoms within 24 hours were enrolled. Vascular risk factors, routine laboratory data on admission, thromboelastography test seven days after clopidogrel therapy and any recurrent events within one year were assessed. Patients were divided into case group (patients with clinical adverse events, including ischemic stokes, transient ischemic attack, myocardial infarction and vascular related mortality) and control group (events-free patients). The risk of the recurrent ischemic events was determined by the receiver operating characteristic curve and multivariable logistic regression analysis. Results: Clinical adverse events were observed in 43 patients (case group). The mean levels of Mean Platelet Volume (MPV), Platelet/Lymphocyte Ratio (PLR), Lymphocyte Count (LY) and Fibrinogen (Fib) on admission were significantly higher in the case group as compared to the control group (P<0.001). Seven days after clopidogrel therapy, the ADP-induced platelet inhibition rate (ADP%) level was lower in the case group, while the Maximum Amplitude (MA) level was higher in the case group as compared to the control group (P<0.01). The Area Under the Curve (AUC) of receiver operating characteristic(ROC) curve of LY, PLR, , Fib, MA, ADP% and MPV were 0.602, 0.614, 0.629, 0.770, 0.800 and 0.808, respectively. The logistic regression analysis showed that MPV, ADP% and MA were indeed predictive factors. Conclusion: MPV, ADP% and MA were risk factors of recurrent ischemic events after acute noncardiogenic ischemic stroke. Urgent assessment and individual drug therapy should be offered to these patients as soon as possible.

scholarly journals Multiplicity of Risk Factors in Ischemic Stroke Patients: Relations to Age, Sex, and Subtype - A Study of 2,505 Patients from the Lund Stroke Register

2014 ◽  
Vol 42 (3) ◽  
pp. 161-168 ◽  
Author(s):  
Heléne Starby ◽  
Hossein Delavaran ◽  
Gunnar Andsberg ◽  
Håkan Lövkvist ◽  
Bo Norrving ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Stroke Patients ◽  
Subtype A ◽  
Stroke Register

scholarly journals Ischemic stroke with a preceding Trans ischemic attack(TIA) less than 24 hours: Predicting clinical risk factors for thrombolytic therapy

2019 ◽  
Author(s):  
Nicolas Poupore ◽  
Dan Strat ◽  
Tristan Mackey ◽  
Ashley Snell ◽  
Thomas Nathaniel
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Thrombolytic Therapy ◽  
Older Patients ◽  
Clinical Risk Factors ◽  
Receiver Operating Curve ◽  
Stroke Patients ◽  
Clinical Risk ◽  
Stroke Population ◽  
Clinical Risks

Abstract Background Acute ischemic stroke attack with and without a recent TIA within or less than 24 hours may differ in clinical risk factors, and this may affect treatment outcomes following thrombolytic therapy. We examined whether the odds of exclusion or inclusion for thrombolytic therapy are greater in ischemic stroke with TIA less than 24 hours preceding ischemic stroke(TIA-24hr-ischemic stroke patients) as compared to those without recent TIA or non-TIA <24 hours.Methods A retrospective hospital-based analysis was conducted on 6,315 ischemic stroke patients, of whom 846 had proven brain diffusion-weighted magnetic resonance imaging (DW-MRI) of an antecedent TIA within 24 hours prior to ischemic stroke. The logistic regression model was developed to generate odds ratios (OR) to determine clinical factors that may increase the likelihood of exclusion or inclusion for thrombolytic therapy. The validity of the model was tested using a Hosmer-Lemeshow test, while the Receiver Operating Curve (ROC) was used to test the sensitivity of our model.Results In TIA-24hr-ischemic stroke population, patients with a history of alcohol abuse (OR = 5.525, 95% CI, 1.003-30.434, p = 0.05), migraine (OR=4.277, 95% CI, 1.095-16.703, p=0.037), and increasing NIHSS score (OR=1.156, 95% CI, 1.058-1.263, p = 0.001) were associated with the increasing odds of receiving rtPA, while older patients (OR = 0.965, 95% CI, 0.934‐0.997, P = 0.033) were associated with the increasing odds of not receiving rtPA.Conclusion In TIA-24hr-ischemic stroke patients, older patients with higher INR values are associated with increasing odds of exclusion from thrombolytic therapy. Our findings demonstrate clinical risks factors that can be targeted to improve the use and eligibility for rtPA in in TIA-24hr-ischemic stroke patients.

scholarly journals Can clinical risk factors predict functional recovery in ischemic stroke patients with pre-stroke depression?

2019 ◽  
Author(s):  
Leah Wormack ◽  
Brice Blum ◽  
Benjamin Bailes ◽  
Thomas Nathaniel
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Functional Outcome ◽  
Clinical Risk Factors ◽  
Stroke Patients ◽  
Antihypertensive Medications ◽  
Clinical Risk ◽  
Predictive Variables ◽  
Stroke Population ◽  
Thrombolysis Therapy

Abstract Background. Specific clinical risk factors that may be associated with ambulatory outcome following thrombolysis therapy in ischemic stroke patients with pre-stroke depression is not fully understood. This was investigated. Methods. Multivariate analyses were performed to identify predictors of functional ambulatory outcomes. Patient demographics and clinical risk factors served as predictive variables, while improvement or no improvement in ambulatory outcome was considered as the primary outcome. Results. A total of 595 of these patients received rtPA of which 310 patients presented with pre-stroke depression, 217 had no improvement in functional outcome, while 93 patients presented with an improvement in functional outcome. Carotid artery stenosis (OR= 11.577, 95% CI, 1.281 – 104.636, P=0.029) and peripheral vascular disease (OR= 18.040, 95% CI, 2.956-110.086, P=0.002) were more likely to be associated with an improvement in ambulation. Antihypertensive medications (OR= 7.810, 95% CI, 1.401 –43.529, P=0.019),previous TIA (OR= 0.444, 95% CI, 0.517 –0.971, P=0.012), and congestive heart failure (OR= 0.217, 95% CI, 0.318 –0.402, P=0.030) were associated with a no improvement in ambulation. Conclusion. After adjustment for covariates, more clinical risk factors were associated with no improvement when compared with improvement in functional outcome following thrombolysis therapy in an acute ischemic stroke population with pre-stroke depression.

scholarly journals Risk Factors for In-Hospital Mortality among Ischemic Stroke Patients in Southern Taiwan

2016 ◽  
Vol 10 (2) ◽  
pp. 86-90 ◽  
Author(s):  
Cheung-Ter Ong ◽  
Sheng-Feng Sung ◽  
Yi-Sin Wong ◽  
Chi-Shun Wu ◽  
Yung-Chu Hsu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Hospital Mortality ◽  
Stroke Patients ◽  
Southern Taiwan

Abstract W MP70: Characteristics of Patients With Microemboli Detected With Transcranial Doppler Monitoring

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Lauren Koffman ◽  
Zubair Ahmed ◽  
Rebecca Michael ◽  
Leasa Baus ◽  
Larry Raber ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Care Center ◽  
Cerebral Arteries ◽  
Tertiary Care ◽  
Cryptogenic Stroke ◽  
Final Analysis ◽  
Stroke Patients ◽  
Artery Disease ◽  
Wbc Count

Introduction: TCD emboli monitoring (TCDe) is a non-invasive tool used to detect the presence of ongoing microembolic signals (MES) in the intracranial arterial vessels. The clinical utility of this test in the evaluation of acute stroke patients has been debated. Our goal was to evaluate clinical factors associated with MES in ischemic stroke patients who underwent TCDe to determine which patient population may benefit from TCDe. Methods: Retrospective cohort study of adult patients admitted to our tertiary care center for TIA or ischemic stroke from 2011 to 2012 who underwent TCDe. Monitoring was performed for 20 minutes using a standardized protocol. Inclusion criteria included insonatation of both middle cerebral arteries and completion of TCD bubble study (TCB). Repeat TCDe performed on the same patient were excluded from the analysis. Demographic, clinical and objective data were collected using our EMR system. Results: Of the 113 patients included in the final analysis, mean age was 57.9 years and 46.9% were female. MES occurred in 33.6% patients. Mean # of MES was 9.3 (SD 60.6). Patients with MES were significantly younger (51.8 years vs 61.0, p.006) and had fewer vascular risk factors: diabetes (10.5% vs 33.3%, p 0.006), hyperlipidemia (23.7% vs 49.3%, p 0.007), hypertension (47.4% vs 17.33%, p 0.067), atrial fibrillation (7.9% vs 17.33 %, p 0.16), congestive heart failure (5.3% vs 10.7%, p 0.32) and coronary artery disease (18.4 % vs 29.3%, p 0.2). Cryptogenic stroke and the presence of right to left shunt (RLS) was more frequent in patients with MES than those without. Mean WBC count and usCRP were both nonsignificantly higher in patients with MES. Conclusions: Clinical characteristics of patients with MES on TCDe differed from those without MES, which may have diagnostic and clinical implications. Patients with MES were younger and had fewer stroke risk factors. MES were seen more often in patients with RLS and in those with cryptogenic stroke, which raises the possibility of an association between these two factors. Interestingly, patients with MES also had higher usCRP and WBC values, suggesting a possible inflammatory component to the occurrence of MES. More research is needed with a larger sample size to better define the significance of the above findings.

Abstract WP236: The Urban-Rural Divide: Risk Factor Prevalence in Ischemic Stroke Patients Across Two Decades

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Dinesh V Jillella ◽  
Sara Crawford ◽  
Anne S Tang ◽  
Rocio Lopez ◽  
Ken Uchino
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Regression Models ◽  
Stroke Risk ◽  
Stroke Patients ◽  
Stroke Risk Factor ◽  
Risk Factor Prevalence ◽  
Urban Rural ◽  
Artery Disease

Introduction: Regional disparities exist in stroke incidence and stroke related mortality in the United States. We aimed to elucidate the stroke risk factor prevalence trends based on urban versus rural location. Methods: From the National Inpatient Sample database the comorbid stroke risk factors were collected among hospitalized ischemic stroke patients during 2000-2016. Crude and age-and sex-standardized prevalence estimates were calculated for each risk factor during the time periods 2000-2008 and 2009-2016. We compared risk factor prevalence over the defined time periods using regression models, and differences in risk factor trends based on patient location categorized as urban (metropolitan with population of ≥ 1 million) and rural (neither micropolitan or metropolitan) using interaction terms in the regression models. Results: Stroke risk factor prevalence significantly increased from 2000-2008 to 2009-2016. When stratified based on patient location, most risk factors increased in both urban and rural groups. In the crude model, the urban to rural trend difference across 2000-08 and 2009-16 was significant in hypertension (p<0.0001), hyperlipidemia (p=0.0008), diabetes mellitus (p<0.0001), coronary artery disease (p<0.0001), smoking (p<0.0001) and alcohol (p=0.02). With age and sex standardization, the urban to rural trend difference was significant in hypertension (p<0.0001), hyperlipidemia (p=0.0007), coronary artery disease (p=0.01) and smoking (p<0.0001). Conclusion: The prevalence of vascular risk factors among ischemic stroke patients has increased over the last two decades. There exists an urban-rural divide, with rural patients showing larger increases in prevalence of several risk factors compared to urban patients.

Abstract WP375: Fall Risk in Acute Ischemic Stroke

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Robynn S Cox ◽  
Cheryl Bradas ◽  
Victoria Bowden ◽  
Beth Buckholz ◽  
Kathleen Kerber ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Fall Risk ◽  
Safety Net ◽  
Public Healthcare ◽  
Inpatient Setting ◽  
Stroke Patients ◽  
Safety Net Hospital ◽  
Risk Factors For Falls

Fall Risk Factors among Hospitalized Acute Post-Ischemic Stroke Patients in an Urban Public Healthcare System Background: Falls remain an important benchmarking indicator for hospitals. The incidence of falls is a nursing-sensitive indicator, amenable to preventable measures. Research indicates factors associated with falls, but few studies specifically identify factors among hospitalized patients with acute ischemic stroke (AIS). Purpose: Identify prevalence and risk factors for falls among acute, hospitalized AIS patients within an urban safety net hospital. Methods: Retrospective cohort study. Data abstracted from stroke and fall registries, and medical records from 2013-2015 among all adult patients admitted for AIS. Variables included traditional risk factors for falls, as well as stroke-specific factors (NIHSS score, functional status, stroke location and vessel, administration of tPA). Results: N=683 AIS stroke patients, with 1.6% fall rate. Falls among AIS patients accounted for 6% of all hospital falls. AIS patients who experienced an inpatient fall had a mean age of 67 (range 46-86), were mostly male (82%), and ambulating independently prior to arrival (91%). Mean NIHSS scores upon admission were higher among those who experienced a fall, when compared to AIS patients who did not fall (mean=8.73, 7.01, respectively). Most patients who experienced a fall demonstrated weakness and/or paresis upon initial exam (90%), with 64% experiencing small vessel ischemic changes, and 36% MCA strokes. Administration of tPA was not associated with increased falls. LOS was significantly increased among AIS patients who experienced a fall (7.7 vs. 4.8, respectively, p <0.01). Conclusions: Fall rates among hospitalized AIS patients may be lower than earlier reports, reflecting increased vigilance among providers and widespread integration of fall prevention strategies. Elevated NIHSS scores and weakness/paresis upon initial exam may be important predictors of falls among newly diagnosed AIS patients who had previously been able to ambulate independently. Consistent with fall literature among other populations, the occurrence of a fall in the inpatient setting can substantially increase length of stay.

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