scholarly journals Predictors of unfavorable outcome and in-hospital mortality after ischemic stroke

2021 ◽  
Author(s):  
Gustavo Di Lorenzo Villas Boas ◽  
Maiara Silva Tramonte ◽  
Ana Claudia Pires Carvalho ◽  
Ana Elisa Vayego Fornazari ◽  
Marcos Minicucci ◽  
...  

Background: stroke is the second leading cause of death and disability worldwide. The most significant factors for early mortality are age, severity of stroke (NIH stroke scale), atrial fibrillation (AF) and hypertension. Objective: elucidate the factors correlated with unfavorable outcome and mortality after ischemic stroke. Design/Setting: retrospective descriptive study conducted at the Botucatu Medical School Hospital. Methods: this study included 515 stroke patients, aged at least 18, admitted to ICU and stroke-unit between January/2017-December/2018. Baseline data, comorbidities and risk factors were collected and relation to unfavorable outcome and in-hospital mortality were evaluated. Unfavorable outcome was defined as dependency (modified Rankin Scale mRs 4–5). Results: overall, in-hospital mortality rate was 15% (77) and unfavorable outcome 36.7% (189). The patients average age was 69.18±13.08, and NIHSS at admission 9.27±8.41. NIHSS at admission and pre-morbid mRs were independently associated with unfavorable outcome, as each NIHSS point was responsible for 22% outcome increase. Both higher NIHSS and AF were independently associated with in-hospital mortality, increasing the death risk 19% and 3.5 times respectively. Conclusion: the main factor associated with overall in-hospital mortality and unfavorable outcome was stroke severity.

Stroke ◽  
2019 ◽  
Vol 50 (2) ◽  
pp. 349-356 ◽  
Author(s):  
Thomas Gattringer ◽  
Alexandra Posekany ◽  
Kurt Niederkorn ◽  
Michael Knoflach ◽  
Birgit Poltrum ◽  
...  

Background and Purpose— Several risk factors are known to increase mid- and long-term mortality of ischemic stroke patients. Information on predictors of early stroke mortality is scarce but often requested in clinical practice. We therefore aimed to develop a rapidly applicable tool for predicting early mortality at the stroke unit. Methods— We used data from the nationwide Austrian Stroke Unit Registry and multivariate regularized logistic regression analysis to identify demographic and clinical variables associated with early (≤7 days poststroke) mortality of patients admitted with ischemic stroke. These variables were then used to develop the Predicting Early Mortality of Ischemic Stroke score that was validated both by bootstrapping and temporal validation. Results— In total, 77 653 ischemic stroke patients were included in the analysis (median age: 74 years, 47% women). The mortality rate at the stroke unit was 2% and median stay of deceased patients was 3 days. Age, stroke severity measured by the National Institutes of Health Stroke Scale, prestroke functional disability (modified Rankin Scale >0), preexisting heart disease, diabetes mellitus, posterior circulation stroke syndrome, and nonlacunar stroke cause were associated with mortality and served to build the Predicting Early Mortality of Ischemic Stroke score ranging from 0 to 12 points. The area under the curve of the score was 0.879 (95% CI, 0.871–0.886) in the derivation cohort and 0.884 (95% CI, 0.863–0.905) in the validation sample. Patients with a score ≥10 had a 35% (95% CI, 28%–43%) risk to die within the first days at the stroke unit. Conclusions— We developed a simple score to estimate early mortality of ischemic stroke patients treated at a stroke unit. This score could help clinicians in short-term prognostication for management decisions and counseling.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Ayham Alkhachroum ◽  
Antonio Bustillo ◽  
Negar Asdaghi ◽  
Erika T Marulanda-londono ◽  
Carolina M Gutierrez ◽  
...  

Background: Impaired level of consciousness (LOC) on presentation after acute ischemic stroke (AIS) may affect outcomes and the decision to withdraw life-sustaining treatment (WLST). We aim to investigate the outcomes and their trends after AISby the LOC on stroke presentation. Methods: We studied 238,989 cases with AIS in the Florida Stroke Registry from 2010-2019. Pearson chi-squared and Kruskall-Wallis tests were used to compare descriptive statistics. A multivariable-logistic regression with GEE accounted for basic demographics, comorbidities, stroke severity, location, hospital size and teaching status. Results: At stroke presentation, 32,861 (14%) cases had impaired LOC (mean age 77, 54% women, 60 white%, 19% Black, 16% Hispanic). Compared to cases with preserved LOC, impaired cases were older (77 vs. 72 years old), more women (54% vs. 48%), had more comorbidities, greater stroke severity on NIHSS ≥ 5 (49% vs. 27%), higher WLST rates (3% vs. 0.6%), and greater in-hospital mortality rates (9% vs. 3%). In our adjusted model however, no significant association was found between impaired LOC and in-hospital mortality, or length of stay. Those with preserved LOC were more likely discharged home/rehab (OR 0.7, 95%CI 0.6-0.8, p<0.0001) and more likely to ambulate independently (OR 0.7, 95%CI 0.6-0.9, p=0.001). Trend analysis (2010-2019) showed decreased mortality, increased length of stay, and increased rates of discharge to home/rehab in all irrespective of LOC status. Conclusion: In this large multicenter registry, AIS cases presenting with impaired LOC had more severe strokes at presentation. Although LOC was not associated with significantly worse in-hospital morality, it was associated with higher rates of WLST and more disability among survivors. Future efforts should focus on biomarkers of LOC that discriminates the potential for early recovery and reduced disability in acute stroke patients with impaired LOC.


2016 ◽  
Vol 2 (1) ◽  
pp. 54-63 ◽  
Author(s):  
Alejandro Bustamante ◽  
Dolors Giralt ◽  
Teresa García-Berrocoso ◽  
Marta Rubiera ◽  
José Álvarez-Sabín ◽  
...  

Introduction Controversies remain on whether post-stroke complications represent an independent predictor of poor outcome or just a reflection of stroke severity. We aimed to identify which post-stroke complications have the highest impact on in-hospital mortality by using machine learning techniques. Secondary aim was identification of patient’s subgroups in which complications have the highest impact. Patients and methods Registro Nacional de Ictus de la Sociedad Española de Neurología is a stroke registry from 42 centers from the Spanish Neurological Society. Data from ischemic stroke patients were used to build a random forest by combining 500 classification and regression trees, to weight up the impact of baseline characteristics and post-stroke complications on in-hospital mortality. With the selected variables, a logistic regression analysis was performed to test for interactions. Results 12,227 ischemic stroke patients were included. In-hospital mortality was 5.9% and median hospital stay was 7(4–10) days. Stroke severity [National Institutes of Health Stroke Scale > 10, OR = 5.54(4.55–6.99)], brain edema [OR = 18.93(14.65–24.46)], respiratory infections [OR = 3.67(3.02–4.45)] and age [OR = 2.50(2.07–3.03) for >77 years] had the highest impact on in-hospital mortality in random forest, being independently associated with in-hospital mortality. Complications have higher odds ratios in patients with baseline National Institutes of Health Stroke Scale <10. Discussion Our study identified brain edema and respiratory infections as independent predictors of in-hospital mortality, rather than just markers of more severe strokes. Moreover, its impact was higher in less severe strokes, despite lower frequency. Conclusion Brain edema and respiratory infections were the complications with a greater impact on in-hospital mortality, with the highest impact in patients with mild strokes. Further efforts on the prediction of these complications could improve stroke outcome.


Author(s):  
Donglan Zhang ◽  
Moges S Ido ◽  
Lu Shi ◽  
Dale Green

Objectives: Telestroke is the application of telemedicine to stroke care. We estimated the effect of participation in a telestroke network on in-hospital mortality in the state of Georgia, and explored its impact on mitigating the difference in mortality for patients admitted in nighttime compared to those admitted in daytime. Methods: We selected patients with ischemic stroke from 15 non-teaching hospitals in the Georgia’s Paul Coverdell Acute Stroke Registry from 2005 to 2016. We applied a quasi-experimental study design by classifying patients from 4 hospitals that participated in a telestroke network in 2009 as the treatment group, and patients from 11 hospitals that were not covered by the telestroke network as the comparison group. All selected hospitals are located in non-Metropolitan Areas. We compared mortality between treatment and comparison groups in 2005 - 2008 (pre-participation period for treatment group) and in 2009 - 2016 (post-participation period for treatment group), and estimated difference in in-hospital mortality attributable to participation in a telestroke network by applying a difference-in-differences approach, while adjusting for patients’ age, sex, race/ethnicity, insurance coverage, arrival mode, ambulatory status prior to the current stroke, stroke severity, medical history of atrial fibrillation/flutter and hospital admission time. Results: The mortality among ischemic stroke patients decreased in all selected hospitals over the last decade. Participation in a telestroke network significantly decreased in-hospital mortality by 3.2% (p-value= 0.003). There was a positive association between nighttime admission and in-hospital mortality in the entire patient sample. After controlling for the effect of participation in a telestroke network, the nighttime effect on mortality still remained significant (odds ratio=1.25, 95% confidence interval: 1.10 - 1.42). Conclusions: Acute ischemic stroke patients admitted in hospitals participating in a telestroke program had a more pronounced reduction in in-hospital mortality. However, telestroke coverage did not alter the effect of nighttime admission on in-hospital mortality.


2019 ◽  
pp. 174749301988452 ◽  
Author(s):  
Akiko Kada ◽  
Kuniaki Ogasawara ◽  
Takanari Kitazono ◽  
Kunihiro Nishimura ◽  
Nobuyuki Sakai ◽  
...  

Background Limited national-level information on temporal trends in comprehensive stroke center capabilities and their effects on acute ischemic stroke patients exists. Aims To examine trends in in-hospital outcomes of acute ischemic stroke patients and the prognostic influence of temporal changes in comprehensive stroke center capabilities in Japan. Methods This retrospective study used the J-ASPECT Diagnosis Procedure Combination database and identified 372,978 acute ischemic stroke patients hospitalized in 650 institutions between 2010 and 2016. Temporal trends in patient outcomes and recombinant tissue plasminogen activator (rt-PA) and mechanical thrombectomy usage were examined. Facility comprehensive stroke center capabilities were assessed using a validated scoring system (comprehensive stroke center score: 1–25 points) in 2010 and 2014. The prognostic influence of temporal comprehensive stroke center score changes on in-hospital mortality and poor outcomes (modified Rankin Scale: 3–6) at discharge were examined using hierarchical logistic regression models. Results Over time, stroke severity at admission decreased, whereas median age, sex ratio, and comorbidities remained stable. The median comprehensive stroke center score increased from 16 to 17 points. After adjusting for age, sex, comorbidities, consciousness level, and facility comprehensive stroke center score, proportion of in-hospital mortality and poor outcomes at discharge decreased (from 7.6% to 5.0%, and from 48.7% to 43.1%, respectively). The preceding comprehensive stroke center score increase (in 2010–2014) was independently associated with reduced in-hospital mortality and poor outcomes, and increased rt-PA and mechanical thrombectomy use (odds ratio (95% confidence interval): 0.97 (0.95–0.99), 0.97 (0.95–0.998), 1.07 (1.04–1.10), and 1.21 (1.14–1.28), respectively). Conclusions This nationwide study revealed six-year trends in better patient outcomes and increased use of rt-PA and mechanical thrombectomy in acute ischemic stroke. In addition to lesser stroke severity, preceding improvement of comprehensive stroke center capabilities was an independent factor associated with such trends, suggesting importance of comprehensive stroke center capabilities as a prognostic indicator of acute stroke care.


2021 ◽  
Vol 10 (24) ◽  
pp. 5870
Author(s):  
Fatemeh Rezania ◽  
Christopher J. A. Neil ◽  
Tissa Wijeratne

Background: Acute stroke is a time-critical emergency where diagnosis and acute management are highly dependent upon the accuracy of the patient’s history. We hypothesised that the language barrier is associated with delayed onset time to thrombolysis and poor clinical outcomes. This study aims to evaluate the effect of language barriers on time to thrombolysis and clinical outcomes in acute ischemic stroke. Concerning the method, this is a retrospective study of all patients admitted to a metropolitan stroke unit (Melbourne, Victoria, Australia) with an acute ischemic stroke treated with tissue plasminogen activator between 1/2013 and 9/2017. Baseline characteristics, thrombolysis time intervals, length of stay, discharge destination, and in-hospital mortality were compared among patients with and without a language barrier using multivariate analysis after adjustment for age, sex, stroke severity, premorbid modified Rankin Scale (mRS), and Charlson Comorbidity Index (CCI). Language barriers were defined as a primary language other than English. A total of 374 patients were included. Our findings show that 76 patients (20.3%) had a language barrier. Mean age was five years older for patients with language barriers (76.7 vs. 71.8 years, p = 0.004). Less non-English speaking patients had premorbid mRS score of zero (p = 0.002), and more had premorbid mRS score of one or two (p = 0.04). There was no statistically significant difference between the two groups in terms of stroke severity on presentation (p = 0.06). The onset to needle time was significantly longer in patients with a language barrier (188 min vs. 173 min, p = 0.04). Onset to arrival and door to imaging times were reassuringly similar between the two groups. However, imaging to needle time was 9 min delayed in non-English speaking patients with a marginal p value (65 vs. 56 min, p = 0.06). Patients with language barriers stayed longer in the stroke unit (six vs. four days, p = 0.02) and had higher discharge rates than residential aged care facilities in those admitted from home (9.2% vs. 2.3%, p = 0.02). In-hospital mortality was not different between the two groups (p = 0.8). In conclusion, language barriers were associated with almost 14 min delay in thrombolysis. The delay was primarily attributable to imaging to needle time. Language barriers were also associated with poorer clinical outcomes.


2017 ◽  
Vol 16 (1) ◽  
pp. 15-20
Author(s):  
Maria Mirabela Manea ◽  
◽  
Dorin Dragos ◽  
Vladimir Moldoveanu ◽  
Constantin Popa ◽  
...  

Purpose: the analysis of the paraclinical features of heart changes in the acute ischemic stroke, especially electrocardiographic (ECG) abnormalities. Material and methods. We performed a prospective study on 23 patients admitted in our stroke unit with large lesions induced by acute ischemic strokes and no history of cardiovascular disease. Results. The average age of patients was 72,87 +/- 11,55 years. On admission NIHSS score was higher in the cardioembolic stroke patients compared to atherothrombotic stroke patients, the difference persisting after the first seven days. Echocardiography demonstrated a larger left atrium area in cardioembolic compared to atherothrombotic stroke patients. The E-wave deceleration time (a diastolic function parameter) was longer in atherothrombotic compared to cardioembolic stroke. The ECG monitoring and repeated 24h Holter monitoring detected atrial fibrillation (AF) in 52, 17% of the patients and it was associated with a higher in-hospital mortality and stroke severity. No significant correlation was found between the increase in troponin T levels and AF, or in-hospital mortality. Discusions. In our study atherothrombotic stroke is associated with a more pronounced tendency to diastolic dysfunction compared to cardioembolic stroke. The percentage of detected AF is higher than expected because of: 1) the higher average age of patients, 2) the inclusion of patients with large strokes, and 3) continuous ECG and Holter monitoring for longer periods of time compared to the usual procedure in stroke patients. Conclusion. The cardiologic monitoring has strong implications for stroke mechanisms and short and long term outcome and prognosis of the patients.


Author(s):  
Shreyansh Shah ◽  
Li Liang ◽  
Andrzej Kosinski ◽  
Adrian F. Hernandez ◽  
Lee H. Schwamm ◽  
...  

Background Guidelines recommend against the use of intravenous tPA (tissue-type plasminogen activator; IV tPA) in acute ischemic stroke patients with prior ischemic stroke within 3 months. However, there are limited data on the safety of IV tPA in this population. Methods and Results A retrospective observational study of patients ≥66 years of age linked to Medicare claims and treated with IV tPA at Get With The Guidelines–Stroke hospitals (February 2009 to December 2015). We identified 293 patients treated with IV tPA who had a prior ischemic stroke within 3 months and 30 655 with no history of stroke. Patients with prior stroke had a higher stroke severity (median National Institutes of Health Stroke Scale, 11 [6–19] versus 11 [6–18]; absolute standardized difference, 11.2%) and a higher prevalence of cardiovascular comorbidities. Patients with prior stroke had a higher unadjusted risk for symptomatic intracranial hemorrhage (7.7% versus 4.8%) and in-hospital mortality (12.6% versus 8.9%), but these differences were not statistically significant after adjustment. When stratified by prespecified time epochs, the elevated risk for symptomatic intracranial hemorrhage was seen only within the first 14 days (16.3% versus 4.8%; adjusted odds ratio [aOR], 3.7 [95% CI, 1.62–8.43]) but not in other epochs (2.1% versus 4.8%; aOR, 0.38 [95% CI, 0.05–2.79] for 15–30 days and 7.4% versus 4.8%; aOR, 1.36 [95% CI, 0.77–2.40] for 31–90 days). In addition, patients with prior stroke were significantly more likely to have a combined outcome of in-hospital mortality or discharge to hospice (25.9% versus 17.0%; aOR, 1.70 [95% CI, 1.21–2.38]), less likely to be discharged to home (28.3% versus 32.3%; aOR, 0.72 [95% CI, 0.54–0.98]), or to have good functional outcomes at discharge (modified Rankin Scale, 0–1; 11.3% versus 20.0%; aOR, 0.46 [95% CI, 0.24–0.89]). Conclusions Stroke providers need to continue to be vigilant about the safety of IV tPA in patients with prior stroke, particularly those with an event in the previous 14 days.


2020 ◽  
Vol 17 (2) ◽  
pp. 26-34
Author(s):  
Pradeep Thapa ◽  
Jagdish Prasad Agrawal ◽  
Rajani Baniya

Background: Stroke is the second leading cause of death worldwide, comprising approximately 10% of all deaths. A substantial number of stroke patients have elevated cardiac troponin levels and are associated with poorer prognosis. Methods: This was a prospective observational study conducted for 1 year at Tribhuvan University Teaching Hospital, in which 101 acute ischemic stroke patients were enrolled. Data included vital signs, laboratory parameters, and clinical features evaluated at the time of admission. The National Institute of Health Stroke Scale (NIHSS) and modified Rankin scale (mRS) were used to assess stroke severity and outcomes. Results: Elevated troponin I (> 0.034 ng/mL) was observed in eight (7.9%) patients. Compared to patients with normal troponin I, patients with elevated troponin I were older(mean age 61vs 59.68 years), had higher blood glucose( 10.6 vs. 7.04 mmol/L), higher median white blood cells( 9.3 vs. 8.9 1,000/m3) and creatinine levels(119.5 μmol/L vs. 95.9 μmol/L), higher mean NIHSS scores on admission(16 vs. 8.6), and discharge(14.5 vs. 6.8), higher median mRS scores( 4.13 vs. 1.8) at discharge(p<0.001). Poor outcomes were observed in 34(33.66%) patients of 101 patients and death occurred in five (4.9%) patients. Patients with abnormal troponin I had poorer outcomes than normal troponin I level patients (p=<0.001) and significantly higher deaths (p=0.006). Univariate analysis of continuous variables revealed that patients with poor outcomes compared to good outcomes had higher troponin levels (0.029 vs. 0.013 ng/mL, p=0.001), creatinine levels (113.5 vs. 89.8μmol/L, p=0.007), NIHSS score on admission (13.4 vs. 5.10, p<0.001),discharge (12.4 vs. 5.1, p<0.001), and higher mRS scores at discharge (3.71 vs. 1.16, p<0.001).Multiple logistic regression analysis revealed that NIHSS score on admission>13(OR 15.902; 95%CI[3.65-69.28],p=<0.001) and abnormal troponin I level, troponin I>0.029 ng/mL (odds ratio[OR]:28.451; 95% CI[2.785-290.6],p=0.005) were significant predictors of poor outcomes. Significant predictor of in hospital mortality only included troponin I level >0.04 ng/mL (0R 0.071; 95% CI [0.005-1.037], P=0.05). Conclusion: Troponin I provide better information than age and other laboratory parameters in the prediction of outcomes of stroke. Elevation of troponin I during acute stroke is a strong predictor of both poor outcomes and in-hospital mortality.  


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