scholarly journals Prehospital neurological deterioration in stroke

2018 ◽  
Vol 35 (8) ◽  
pp. 507-510 ◽  
Author(s):  
Sabreena J Slavin ◽  
Heidi Sucharew ◽  
Kathleen Alwell ◽  
Charles J Moomaw ◽  
Daniel Woo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Multivariable Analysis ◽  
Onset Time ◽  
Serum Glucose ◽  
Neurological Deterioration ◽  
Stroke Subtype ◽  
Time Intervals ◽  
Hospital Arrival ◽  
Levels Of Care ◽  
Level Of Training

Background and purposePatients with stroke can experience neurological deterioration in the prehospital setting. We evaluated patients with stroke to determine factors associated with prehospital neurological deterioration (PND).MethodsAmong the Greater Cincinnati/Northern Kentucky region (population ~1.3 million), we screened all 15 local hospitals’ admissions from 2010 for acute stroke and included patients aged ≥20. The GCS was compared between emergency medical services (EMS) arrival and hospital arrival, with decrease ≥2 points considered PND. Data obtained retrospectively included demographics, medical history and medication use, stroke subtype (eg, ischaemic stroke (IS), intracerebral haemorrhage (ICH), subarachnoid haemorrhage (SAH)) and IS subtype (eg, small vessel, large vessel, cardioembolic), seizure at onset, time intervals between symptom onset, EMS arrival and hospital arrival, EMS level of training, and blood pressure and serum glucose on EMS arrival.ResultsOf 2708 total patients who had a stroke, 1092 patients (median (IQR) age 74 (61–83) years; 56% women; 21% black) were analysed. PND occurred in 129 cases (12%), including 9% of IS, 24% of ICH and 16% of SAH. In multivariable analysis, black race, atrial fibrillation, haemorrhagic subtype and ALS level of transport were associated with PND.ConclusionHaemorrhage and atrial fibrillation is associated with PND in stroke, and further investigation is needed to establish whether PND can be predicted. Further studies are also needed to assess whether preferential transport of patients with deterioration to hospitals equipped with higher levels of care is beneficial, identify why race is associated with deterioration and to test therapies targeting PND.

Abstract 17: Prehospital Deterioration During Transport by Emergency Medical Services for Stroke Patients: A Population-Based Study

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Sabreena J Gillow ◽  
Heidi Sucharew ◽  
Kathleen Alwell ◽  
Charles J Moonmaw ◽  
Daniel Woo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Multivariate Analysis ◽  
Univariate Analysis ◽  
Onset Time ◽  
Population Based ◽  
Neurological Deterioration ◽  
Stroke Patients ◽  
Stroke Subtype ◽  
Hospital Arrival ◽  
Neurologic Deterioration

Introduction: Stroke patients can experience neurological change in the prehospital setting. We sought to identify factors associated with prehospital neurologic deterioration. Methods: Among the Greater Cincinnati/Northern Kentucky region (pop. ~1.3 million), we screened all 15 local hospitals’ admissions from 2010 for acute stroke, and included patients with age ≥20 and complete EMS records. Glasgow Coma Scale (GCS) at hospital arrival was compared with GCS evaluated by EMS, with decrease ≥2 points considered neurologic deterioration. Data obtained included age, sex, race, medical history, antiplatelet or anticoagulant use, stroke subtype [ischemic (IS), ICH, or SAH] and IS subtype (e.g., small vessel, large vessel, cardioembolic), seizure at onset, time from symptom onset to EMS arrival, time from EMS to hospital arrival, blood pressure and serum glucose on EMS arrival, and EMS level of training. Univariate analysis was completed using Wilcoxon rank sum test for continuous measures and chi-square or Fisher’s exact test for categorical measures. Multivariate analysis was completed on variables with p ≤ 0.20 in the univariate analysis. Results: Of 2708 total stroke patients, 1097 (870 IS, 176 ICH, 51 SAH) had EMS records (median [IQR] age 74 [61, 83] years; 56% female; 21% black). Onset to EMS arrival was ≤4.5 hours for 508 cases (46%), and median time from EMS to hospital arrival was 26 minutes. Neurological deterioration occurred in 129 cases (12%), including 9.1% of IS and 22% of ICH/SAH. In multivariate analysis, black race, atrial fibrillation, ICH or SAH subtype, and ALS transport were associated with neurological deterioration. Conclusion: Atrial fibrillation may predict prehospital deterioration in stroke, and preferential transport of patients with acute worsening to centers capable of managing hemorrhagic stroke may be justifiable. Further studies are needed to identify why race is associated with deterioration and potential areas of intervention.

scholarly journals Acute Dental Periapical Abscess and New-Onset Atrial Fibrillation: A Nationwide, Population-Based Cohort Study

2021 ◽  
Vol 10 (13) ◽  
pp. 2927
Author(s):  
Amaar Obaid Hassan ◽  
Gregory Y. H. Lip ◽  
Arnaud Bisson ◽  
Julien Herbert ◽  
Alexandre Bodin ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cohort Study ◽  
Multivariable Analysis ◽  
National Database ◽  
Increased Risk ◽  
Periapical Abscess ◽  
The Relationship ◽  
Onset Atrial Fibrillation ◽  
New Onset

There are limited data on the relationship of acute dental infections with hospitalisation and new-onset atrial fibrillation (AF). This study aimed to assess the relationship between acute periapical abscess and incident AF. This was a retrospective cohort study from a French national database of patients hospitalized in 2013 (3.4 million patients) with at least five years of follow up. In total, 3,056,291 adults (55.1% female) required hospital admission in French hospitals in 2013 while not having a history of AF. Of 4693 patients classified as having dental periapical abscess, 435 (9.27%) developed AF, compared to 326,241 (10.69%) without dental periapical abscess that developed AF over a mean follow-up of 4.8 ± 1.7 years. Multivariable analysis indicated that dental periapical abscess acted as an independent predictor for new onset AF (p < 0.01). The CHA2DS2VASc score in patients with acute dental periapical abscess had moderate predictive value for development of AF, with Area Under the Curve (AUC) 0.73 (95% CI, 0.71–0.76). An increased risk of new onset AF was identified for individuals hospitalized with dental periapical abscess. Careful follow up of patients with severe, acute dental periapical infections is needed for incident AF, as well as investigations of possible mechanisms linking these conditions.

Frequency and Prognostic Significance of Clinical Fluctuations Before Hospital Arrival in Stroke

Stroke ◽  
2021 ◽  
Author(s):  
Jose G. Romano ◽  
Hannah Gardener ◽  
Eric E. Smith ◽  
Iszet Campo-Bustillo ◽  
Yosef Khan ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Prognostic Significance ◽  
Final Diagnosis ◽  
Qualitative Assessment ◽  
Stroke Subtype ◽  
Improvement Program ◽  
Unique Identifier ◽  
Hospital Arrival ◽  
Stroke Impact Scale ◽  
Index Stroke

Background and Purpose: Clinical fluctuations in ischemic stroke symptoms are common, but fluctuations before hospital arrival have not been previously characterized. Methods: A standardized qualitative assessment of fluctuations before hospital arrival was obtained in an observational study that enrolled patients with mild ischemic stroke symptoms (National Institutes of Health Stroke Scale [NIHSS] score of 0–5) present on arrival to hospital within 4.5 hours of onset, in a subset of 100 hospitals participating in the Get With The Guidelines–Stroke quality improvement program. The number of fluctuations, direction, and the overall improvement or worsening was recorded based on reports from the patient, family, or paramedics. Baseline NIHSS on arrival and at 72 hours (or discharge if before) and final diagnosis and stroke subtype were collected. Outcomes at 90 days included the modified Rankin Scale, Barthel Index, Stroke Impact Scale 16, and European Quality of Life. Prehospital fluctuations were examined in relation to hospital NIHSS change (admission to 72 hours or discharge) and 90-day outcomes. Results: Among 1588 participants, prehospital fluctuations, consisting of improvement, worsening, or both were observed in 35.5%: 25.1% improved once, 5.3% worsened once, and 5.1% had more than 1 fluctuation. Those who improved were less likely and those who worsened were more likely to receive alteplase. Those who improved before hospital arrival had lower change in the hospital NIHSS than those who did not fluctuate. Better adjusted 90-day outcomes were noted in those with prehospital improvement compared to those without any fluctuations. Conclusions: Fluctuations in neurological symptoms and signs are common in the prehospital setting. Prehospital improvement was associated with better 90-day outcomes, controlling for admission NIHSS and alteplase treatment. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT 02072681.

scholarly journals Incidence of Ventricular Arrhythmias and 1‐Year Predictors of Mortality in Patients Treated With Implantable Cardioverter‐Defibrillator Undergoing Generator Replacement

2021 ◽  
Vol 10 (4) ◽  
Author(s):  
Andrea Demarchi ◽  
Stefano Cornara ◽  
Antonio Sanzo ◽  
Simone Savastano ◽  
Barbara Petracci ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Heart Disease ◽  
Implantable Cardioverter Defibrillator ◽  
Ventricular Arrhythmias ◽  
Multivariable Analysis ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Cardioverter Defibrillator ◽  
Generator Replacement

Background When implantable cardioverter defibrillator (ICD) battery is depleted most patients undergo generator replacement (GR) even in the absence of persistent ICD indication. The aim of this study was to assess the incidence of ventricular arrhythmias and the overall prognosis of patients with and without persistent ICD indication undergoing GR. Predictors of 1‐year mortality were also analyzed. Methods and Results Patients with structural heart disease implanted with primary prevention ICD undergoing GR were included. Patients were stratified based on the presence/absence of persistent ICD indication (left ventricular ejection fraction ≤35% at the time of GR and/or history of appropriate ICD therapies during the first generator's life). The study included 371 patients (82% male, 40% with ischemic heart disease). One third of patients (n=121) no longer met ICD indication at the time of GR. During a median follow‐up of 34 months after GR patients without persistent ICD indication showed a significantly lower incidence of appropriate ICD shocks (1.9% versus 16.2%, P <0.001) and ICD therapies. 1‐year mortality was also significantly lower in patients without persistent ICD indication (1% versus 8.3%, P =0.009). At multivariable analysis permanent atrial fibrillation, chronic advanced renal impairment, age >80, and persistent ICD indication were found to be significant predictors of 1‐year mortality. Conclusions Patients without persistent ICD indication at the time of GR show a low incidence of appropriate ICD therapies after GR. Persistent ICD indication, atrial fibrillation, advanced chronic renal disease, and age >80 are significant predictors of 1‐year mortality. Our findings enlighten the need of performing a comprehensive clinical reevaluation of ICD patients at the time of GR.

scholarly journals Interpretable Machine Learning for Early Neurological Deterioration Prediction in Atrial Fibrillation-Related Stroke

2021 ◽  
Author(s):  
Seong Hwan Kim ◽  
Eun-Tae Jeon ◽  
Sungwook Yu ◽  
Kyungmi O ◽  
Chi Kyung Kim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Atrial Fibrillation ◽  
Neurological Deterioration ◽  
Gradient Boosting ◽  
Support Vector ◽  
Light Gradient ◽  
Interpretable Machine Learning ◽  
Extreme Gradient Boosting ◽  
Early Neurological Deterioration ◽  
Feature Importance

Abstract We aimed to develop a novel prediction model for early neurological deterioration (END) based on an interpretable machine learning (ML) algorithm for atrial fibrillation (AF)-related stroke and to evaluate the prediction accuracy and feature importance of ML models. Data from multi-center prospective stroke registries in South Korea were collected. After stepwise data preprocessing, we utilized logistic regression, support vector machine, extreme gradient boosting, light gradient boosting machine (LightGBM), and multilayer perceptron models. We used the Shapley additive explanations (SHAP) method to evaluate feature importance. Of the 3,623 stroke patients, the 2,363 who had arrived at the hospital within 24 hours of symptom onset and had available information regarding END were included. Of these, 318 (13.5%) had END. The LightGBM model showed the highest area under the receiver operating characteristic curve (0.778, 95% CI, 0.726 - 0.830). The feature importance analysis revealed that fasting glucose level and the National Institute of Health Stroke Scale score were the most influential factors. Among ML algorithms, the LightGBM model was particularly useful for predicting END, as it revealed new and diverse predictors. Additionally, the SHAP method can be adjusted to individualize the features’ effects on the predictive power of the model.

Predictors of parenchymal hemorrhage after endovascular treatment in acute ischemic stroke: data from ANGEL-ACT Registry

2022 ◽  
pp. neurintsurg-2021-018292
Author(s):  
Dapeng Sun ◽  
Baixue Jia ◽  
Xu Tong ◽  
Peter Kan ◽  
Xiaochuan Huo ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Endovascular Treatment ◽  
Acute Ischemic Stroke ◽  
Functional Outcome ◽  
Multivariable Analysis ◽  
Serum Glucose ◽  
Chinese Patients ◽  
Anterior Circulation ◽  
Vessel Occlusion ◽  
Atherosclerotic Stenosis

BackgroundParenchymal hemorrhage (PH) is a troublesome complication after endovascular treatment (EVT).ObjectiveTo investigate the incidence, independent predictors, and clinical impact of PH after EVT in patients with acute ischemic stroke (AIS) due to anterior circulation large vessel occlusion (LVO).MethodsSubjects were selected from the ANGEL-ACT Registry. PH was diagnosed according to the European Collaborative Acute Stroke Study classification. Logistic regression analyses were performed to determine the independent predictors of PH, as well as the association between PH and 90-day functional outcome assessed by modified Rankin Scale (mRS) score.ResultsOf the 1227 enrolled patients, 147 (12.0%) were diagnosed with PH within 12–36 hours after EVT. On multivariable analysis, low admission Alberta Stroke Program Early CT score (ASPECTS)(adjusted OR (aOR)=1.13, 95% CI 1.02 to 1.26, p=0.020), serum glucose >7 mmol/L (aOR=1.82, 95% CI 1.16 to 2.84, p=0.009), and neutrophil-to-lymphocyte ratio (NLR; aOR=1.05, 95% CI 1.02 to 1.09, p=0.005) were associated with a high risk of PH, while underlying intracranial atherosclerotic stenosis (ICAS; aOR=0.42, 95% CI 0.22 to 0.81, p=0.009) and intracranial angioplasty/stenting (aOR=0.37, 95% CI 0.15 to 0.93, p=0.035) were associated with a low risk of PH. Furthermore, patients with PH were associated with a shift towards to worse functional outcome (mRS score 4 vs 3, adjusted common OR (acOR)=2.27, 95% CI 1.53 to 3.38, p<0.001).ConclusionsIn Chinese patients with AIS caused by anterior circulation LVO, the risk of PH was positively associated with low admission ASPECTS, serum glucose >7 mmol/L, and NLR, but negatively related to underlying ICAS and intracranial angioplasty/stenting.Trial registration numberNCT03370939.

Abstract W P121: Stroke Severity in Men and Women: What Proportion of the Disparity Can Be Explained by Differences in Cardiovascular Risk Factors?

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Karen C Albright ◽  
Amelia K Boehme ◽  
Bisakha Sen ◽  
Monica Aswani ◽  
Michael T Mullen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Sex Differences ◽  
Cardiovascular Risk ◽  
Black Women ◽  
Cardiovascular Risk Factors ◽  
Stroke Severity ◽  
Stroke Subtype ◽  
Oaxaca Decomposition ◽  
Nihss Score

Background: Prior studies have shown that women present with more severe stroke. It has been suggested that sex differences in stroke severity are related to age, stroke subtype, or cardiovascular risk factors. We aimed to determine the proportion of sex disparity in stroke severity that can be explained by differences in these variables using Oaxaca decomposition, an econometric technique which quantifies the differences between groups. Methods: White and Black ischemic stroke patients who presented to two academic medical centers in the US (2004-2011) were identified using prospective stroke registries. In-hospital strokes were excluded. Patient demographics and medical history were collected. Stroke severity was measured by NIHSS. Linear regression was used to determine if female sex was associated with NIHSS score. This model was then adjusted for potential confounders including: age, race, stroke subtype, and cardiovascular risk factors. Oaxaca decomposition was then used to determine the proportion of the observed sex differences in stroke severity that can be explained by these variables. Results: 4925 patients met inclusion criteria. Nearly half (n=2346) were women and 39% (n=1942) were Black. Women presented with more severe strokes (median NIHSS 8 vs. 6). In addition, women were older on average (68 vs. 63 years) with more frequent atrial fibrillation (18% vs. 13%), diabetes (34% vs. 30%), and hypertension (78% vs. 72%). Oaxaca decomposition revealed that age, race, atrial fibrillation, large vessel etiology, diabetes, hypertension account for only 63% of the sex differences seen in NIHSS score on presentation. Conclusion: In our biracial sample, women presented with more severe strokes than men. This difference remained significant even after adjustment for age, stroke subtype, and cardiovascular risk factors. Further, over 1/3 of the observed gender difference in stroke severity was unexplained.. Additional study is warranted to investigate the etiology of the gender differences in stroke severity.

Abstract WP22: Reperfusion Therapy After Neurological Deterioration in Acute Ischemic Stroke

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Mooseok Park ◽  
Tai Hwan Park ◽  
Sang-Soon Park ◽  
Jong-Moo Park ◽  
Yong-Jin Cho ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Clinical Features ◽  
Statistical Significance ◽  
Multivariable Analysis ◽  
Reperfusion Therapy ◽  
Neurological Deterioration ◽  
Large Artery ◽  
Good Outcome ◽  
Intravenous Tissue Plasminogen Activator

Background: Guidelines do not recommend reperfusion therapy in acute ischemic stroke patients with mild symptoms considering low gain compared to the risk. However, some patients with mild first symptoms experience neurological deterioration (ND) after hospitalization. We aimed to analyze clinical features and outcomes of patient who received reperfusion therapy after ND occurred. Methods: We enrolled patients who were admitted within 7 days after acute ischemic stroke or TIA between January 2012 and July 2018 from a multicenter stroke registry database in Korea (CRCS-K). Patients who 1) admitted via emergency room, and 2) received reperfusion therapy including intravenous tissue plasminogen activator and/or endovascular treatment were included. Clinical features and outcomes such as modified Rankin Scale (mRS) score distribution at 3 months after stroke were compared between patients received reperfusion therapy after ND and those without ND before the treatment. Results: Among 51325 patients, 6577 (12.8%) received reperfusion therapy were identified. Reperfusion therapy was performed after ND in 136 patients (2.1%). Mean time of onset to needle is 342.1 and 167.2, and onset to perfusion is 1351.6 and 422.0 in patients treated after ND, and those without, respectively. TIA history was more frequent and atrial fibrillation history was less frequent in patients treated after ND. Initial median (IQR) National Institute of Health Stroke Scale (NIHSS) score was 8 (5 - 12), 10 (6 - 16) in patients treated after ND, and those without, respectively. Large artery atherosclerosis was more frequent in patients treated after ND (42.9 % vs. 26.7%). There was higher rate of good outcome at 90 days in patients treated after ND (84 [61.8%]) compared with those without ND before treatment (3359 [52.2%]; OR, 1.38 [95% CI, 1.02-1.87]). In multivariable analysis, good outcome at 90 days in patients treated after ND lacked statistical significance (OR, 1.06 [95% CI, 0.71-1.62]). There is no significant statistical difference of death at 90 days (13.2% vs. 10.4%, p = 0.364). Conclusion: Reperfusion therapy could apply patients with mild first symptoms experience ND after hospitalization and expect similar prognosis compared to those without ND before the treatment.

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