Prediction of in-hospital mortality after first-ever stroke: the Lausanne Stroke Registry

Predictive Model and Mortality Risk Score during Admission for Ischaemic Stroke with Conservative Treatment

Background: Stroke is the second cause of mortality worldwide and the first in women. The aim of this study is to develop a predictive model to estimate the risk of mortality in the admission of patients who have not received reperfusion treatment. Methods: A retrospective cohort study was conducted of a clinical–administrative database, reflecting all cases of non-reperfused ischaemic stroke admitted to Spanish hospitals during the period 2008–2012. A predictive model based on logistic regression was developed on a training cohort and later validated by the “hold-out” method. Complementary machine learning techniques were also explored. Results: The resulting model had the following nine variables, all readily obtainable during initial care. Age (OR 1.069), female sex (OR 1.202), readmission (OR 2.008), hypertension (OR 0.726), diabetes (OR 1.105), atrial fibrillation (OR 1.537), dyslipidaemia (0.638), heart failure (OR 1.518) and neurological symptoms suggestive of posterior fossa involvement (OR 2.639). The predictability was moderate (AUC 0.742, 95% CI: 0.737–0.747), with good visual calibration; Pearson’s chi-square test revealed non-significant calibration. An easily consulted risk score was prepared. Conclusions: It is possible to create a predictive model of mortality for patients with ischaemic stroke from which important advances can be made towards optimising the quality and efficiency of care. The model results are available within a few minutes of admission and would provide a valuable complementary resource for the neurologist.

Stroke care and outcomes in the Department of Neurology in Parakou, Benin: Retrospective cohort study

Introduction

Stroke is one of the most common causes of high mortality rates in Africa with many unknown aspects around its prognosis. In this study we aim to describe stroke characteristics and in-hospital mortality of stroke in Parakou.

Methods

This is a retrospective cohort study including all stroke patients admitted to the Department of Neurology at Parakou Teaching Hospital from January 1, 2013 through to December 31, 2019. Clinical data, vascular risk factors, stroke subtype and outcome data were recorded. The in-hospital case-fatality and its associated factors were determined. The study was approved by the Local Ethics Committee of Biomedical research and has been registered under the unique indentifying number researchregistry5687 and is available at https://www.researchregistry.com/browse-the-registry#home/.

Results

Stroke cases represented 51.5% of all patients. There were 372 patients included in the study with a mean age of 58.2 ± 14.2 years. The sex ratio was 1:3. Ischemic stroke accounted for 40.3%, intracerebral hemorrhage 30.4%, and unknown 29.3%. The main vascular risk factors were hypertension (69.1%), alcoholism (23.9%) and diabetes mellitus (16.9%). The mean NIHSS at admission was 9.4 ± 5.7 and the length of hospital stay was 9.0 ± 7.3. The most common complications recorded during the acute phase were swallowing disorders (10.2%), pneumonia (9.1%) and urinary tract infections (8.3%). The in-hospital case fatality was 6.2% and was associated with loss of consciousness (p = 0.0001), high NIHSS on admission (p = 0.001), fever (p = 0.0001), swallowing disorders (p = 0.001) and leukocytosis (p = 0.021). On discharge, 27.6% were independent and 97.8% were on antihypertensive drugs.

Conclusion

The in-hospital stroke mortality was close to that reported by other studies in Africa.

In-Hospital Mortality From Cerebrovascular Disease

Introduction Cerebrovascular disease (CVD) is the second most common cause of death. Despite the advances made in recent years with the introduction of specific treatment units and thrombolytics, CVD remains the leading cause of neurological hospitalization and adult disability. Objective Our objective is to determine the frequency and causes of early mortality, during hospitalization, of patients with acute CVD. Methods We conducted a retrospective, descriptive study of 704 patients treated for acute CVD at the Neurology Service of the Hospital in Curitiba, Brazil, over a period of three years, to whom the CVD Program protocol was applied. We checked the conditions at hospital discharge, obtaining the mortality rate and its causes. Results We studied 463 men and 241 women, over 14 years of age with an average of 64 years; 57 patients died. Of the 614 with ischemic CVD, nine males and four females died, establishing a mortality rate of 1.9%. Of the 90 patients with hemorrhagic CVD, 44 died: 26 male and 18 female. The main causes of death were arrhythmias, pneumonia with acute respiratory failure, acute myocardial infarction, and multiple organ failure. Conclusion We found no relationship between mortality and specific risk factors, except for age over 65 years. The low rate of deaths obtained in ischemic stroke reflects the multidisciplinary work involved in caring for patients with cerebrovascular disease in our center, which allows us to obtain results as low in mortality as those described in the literature.

Stroke ICU Patient Mortality Day Prediction

This article presents a study on development of methods for analysis of data reflecting the process of treatment of stroke inpatients to predict clinical outcomes at the emergency care unit. The aim of this work is to develop models for the creation of validated risk scales for early intravenous stroke with minimum number of parameters with maximum prognostic accuracy and possibility to calculate the time of “expected intravenous stroke mortality”. The study of experience in the development and use of medical information systems allows us to state the insufficient ability of existing models for adequate data analysis, weak formalization and lack of system approach in the collection of diagnostic data, insufficient personalization of diagnostic data on the factors determining early intravenous stroke mortality.

In our study we divided patients into 3 subgroups according to the time of death - up to 1 day, 1 to 3 days, and 4 to 10 days. Early mortality in each subgroup was associated with a number of demographic, clinical, and instrumental-laboratory characteristics based on the interpretation of the results of calculating the significance of predictors of binary classification models by machine learning methods from the Scikit-Learn library. The target classes in training were “mortality rate of 1 day”, “mortality rate of 1–3 days”, “mortality rate from 4 days”. AUC ROC of trained models reached 91% for the method of random forest. The results of interpretation of decision trees and calculation of significance of predictors of built-in methods of random forest coincide that can prove to correctness of calculations.

Age is associated with increased mortality in the RETTS-A triage scale

Background

Triage is widely used in the emergency department (ED) in order to identify the patient’s level of urgency and often based on the patient’s chief complaint and vital signs. Age has been shown to be independently associated with short term mortality following an ED visit. However, the most commonly used ED triage tools do not include age as an independent core variable. The aim of this study was to investigate the relationship between age and 7- and 30-day mortality across the triage priority level groups according to Rapid Emergency Triage and Treatment System – Adult (RETTS-A), the most widely used triage tool in Sweden.

Methods

In this cohort, we included all adult patients visiting the ED at the Karolinska University Hospital, Sweden, from 1/1/2010 to 1/1/2015, n = 639,387. All patients were triaged according to the RETTS-A and subsequently separated into three age strata: 18–59, 60–79 and ≥ 80 years. Descriptive analyses and logistic regression was used. The primary outcome measures were 7- and 30-day mortality.

Results

We observed that age was associated with both 7 and 30-day mortality in each triage priority level group. Mortality was higher in older patients across all triage priority levels but the association with age was stronger in the lowest triage group (p-value for interaction = < 0.001). Comparing patients ≥80 years with patients 18–59 years, older patients had a 16 and 7 fold higher risk for 7 day mortality in the lowest and highest triage priority groups, respectively. The corresponding numbers for 30-d mortality were a 21- and 8-foldincreased risk, respectively.

Conclusion

Compared to younger patients, patients above 60 years have an increased short term mortality across the RETTS-A triage priority level groups and this was most pronounced in the lowest triage level. The reason for our findings are unclear and data suggest a validation of RETTS-A in aged patients.

Association of dementia with death after ischemic stroke: A two-year prospective study

The association between dementia and the risk of death after ischemic stroke was investigated. Neurological, neuropsychological and functional assessments were evaluated in 619 patients with acute ischemic stroke. Dementia was diagnosed at admission and at three months after stroke onset. The patients were scheduled for a two-year follow-up after the index stroke. The Kaplan-Meier survival and Cox proportional hazards regression analyses were used to estimate the cumulative proportion of survival, and the association between dementia and risk of death after stroke. In total, 146 patients (23.6%) were diagnosed with dementia after stroke. The cumulative proportion of surviving cases was 49.3% in patients with dementia after a median follow-up of 21.2±5.6 months, and 92.5% in patients without dementia. Multivariate analysis revealed that dementia (HR, 7.21; 95% CI, 3.85–13.49) was associated with death, independent of age, atrial fibrillation, previous stroke and NIH stroke scale. In conclusion, the mortality rate is increased in stroke patients with dementia. Dementia is an important risk factor for death after stroke, independent of age, atrial fibrillation, previous stroke, and the severity of the stroke.

Predictors of in-hospital mortality for stroke in douala, cameroon

Background. The objective of this study was to describe complications in hospitalized patients for stroke and to determine the predictive factors of intrahospital mortality from stroke at the Douala General Hospital (DGH) in Cameroon. Patients and Methods. A prospective cross-sectional study was carried out from January 1, 2010 to December 31, 2012, at the DGH. All the patients who were aged more than 15 years with established diagnosis of stroke were included. A univariate analysis was done to look for factors associated with the risk of death, whilst the predictive factors of death were determined in a multivariate analysis following Cox regression model. Results. Of the 325 patients included patients, 68.1% were males and the mean age was 58.66 ± 13.6 years. Ischaemic stroke accounted for 52% of the cases. Sepsis was the leading complications present in 99 (30.12%) cases. Independent predicting factors of in-hospital mortality were Glasgow Coma Scale lower than 8 (HR = 2.17 95% CI 4.86–36.8; P = 0.0001), hyperglycaemia at admission (HR = 3.61 95% CI 1.38–9.44; P = 0.009), and hemorrhagic stroke (HR = 5.65 95% CI 1.77–18; P = 0.003). Conclusion. The clinician should systematically diagnose and treat infectious states and hyperglycaemia in stroke.

Predictors of early mortality in patients with ischemic stroke

Accurate predictors of early outcome in stroke patients have a number of important applications, such as introducing secondary prevention strategies, supporting treatment decisions or designing randomized clinical trials. Surprisingly, a generally accepted, reliable and well-validated mortality-prediction model is still unavailable. This review outlines the most important predictors of in-hospital mortality that could be assessed at admission to hospital emergency room within 24 h of ischemic stroke onset. A number of factors are discussed such as nonmodifiable factors (e.g., age, gender and genetic factors); type of stroke and its severity - measured by different clinical score scales; predictive models; laboratory markers; special neuroradiological and neurophysiological tests; and comorbid conditions at admission and quality of hospital care.

Predicting symptomatic intracerebral hemorrhage after intravenous thrombolysis: stroke territory as a potential pitfall

BACKGROUND

Stroke vascular territories may influence response to thrombolysis, although supporting data are limited. The aim of the study was to test the hypothesis that the current available prediction scores might inaccurately estimate the risk of symptomatic intracerebral hemorrhage (SICH) after intravenous thrombolysis in patients with posterior circulation stroke.

METHODS

We applied the Safe Implementation of Thrombolysis in Stroke (SITS) SICH risk score to data from four hospital-based stroke registries. Patients were grouped according to anterior or posterior circulation stroke. The main outcome measure was SICH per various definitions. Performance of the risk score was assessed with the c statistic.

RESULTS

Data of 518 thrombolyzed patients (434 anterior, 84 posterior) were studied. The overall rate of SICH varied from 3.5% to 6.9% depending on the SICH definition. Patients with posterior circulation stroke were less likely to have post-thrombolysis SICH per NINDS (P=0.042), per ECASS II (P=0.013), or any ICH (P=0.001), and their rate of SICH was markedly lower than predicted (1.2% versus 7.1% by the NINDS definition; 0% versus 4.8%, ECASS II; 0% versus 1.6%, SITS-MOST). The SITS SICH risk score shows moderate model discrimination across the SICH definitions, with c statistic ranging from 0.64 to 0.70.

CONCLUSIONS

The risk of SICH after intravenous thrombolysis in patients with posterior circulation stroke was low enough to render the SITS SICH risk score or other similar prediction models unnecessary. Awareness of stroke territory might help clinicians judiciously use the risk assessment models.

Association of a higher density of specialist neuroscience providers with fewer deaths from stroke in the United States population

OBJECT

Stroke is a leading cause of death and disability. Given that neurologists and neurosurgeons have special expertise in this area, the authors hypothesized that the density of neuroscience providers is associated with reduced mortality rates from stroke across US counties.

METHODS

This is a retrospective review of the Area Resource File 2009-2010, a national county-level health information database maintained by the US Department of Health and Human Services. The primary outcome variable was the 3-year (2004-2006) average in cerebrovascular disease deaths per million population for each county. The primary independent variable was the combined density of neurosurgeons and neurologists per million population in the year 2006. Multiple regression analysis was performed, adjusting for density of general practitioners (GPs), urbanicity of the county, and socioeconomic status of the residents of the county.

RESULTS

In the 3141 counties analyzed, the median number of annual stroke deaths was 586 (interquartile range [IQR] 449-754), the median number of neuroscience providers was 0 (IQR 0-26), and the median number of GPs was 274 (IQR 175-410) per million population. On multivariate adjusted analysis, each increase of 1 neuroscience provider was associated with 0.38 fewer deaths from stroke per year (p < 0.001) per million population. Rural location (p < 0.001) and increased density of GPs (p < 0.001) were associated with increases in stroke-related mortality.

CONCLUSIONS

Higher density of specialist neuroscience providers is associated with fewer deaths from stroke. This suggests that the availability of specialists is an important factor in survival after stroke, and underlines the importance of promoting specialist education and practice throughout the country.

Risk Score for In-Hospital Ischemic Stroke Mortality Derived and Validated Within the Get With The Guidelines–Stroke Program

Background—

There are few validated models for prediction of in-hospital mortality after ischemic stroke. We used Get With the Guidelines–Stroke Program data to derive and validate prediction models for a patient's risk of in-hospital ischemic stroke mortality.

Methods and Results—

Between October 2001 and December 2007, there were 1036 hospitals that contributed 274 988 ischemic stroke patients to this study. The sample was randomly divided into a derivation (60%) and validation (40%) sample. Logistic regression was used to determine the independent predictors of mortality and to assign point scores for a prediction model. We also separately derived and validated a model in the 109 187 patients (39.7%) with a National Institutes of Health Stroke Scale (NIHSS) score recorded. Model discrimination was quantified by calculating the C statistic from the validation sample. In-hospital mortality was 5.5% overall and 5.2% in the subset in which NIHSS score was recorded. Characteristics associated with in-hospital mortality were age, arrival mode (eg, via ambulance versus other mode), history of atrial fibrillation, previous stroke, previous myocardial infarction, carotid stenosis, diabetes mellitus, peripheral vascular disease, hypertension, history of dyslipidemia, current smoking, and weekend or night admission. The C statistic was 0.72 in the overall validation sample and 0.85 in the model that included NIHSS score. A model with NIHSS score alone provided nearly as good discrimination (C statistic 0.83). Plots of observed versus predicted mortality showed excellent model calibration in the validation sample.

Conclusions—

The Get With the Guidelines–Stroke risk model provides clinicians with a well-validated, practical bedside tool for mortality risk stratification. The NIHSS score provides substantial incremental information on a patient's short-term mortality risk and is the strongest predictor of mortality.

Predictors of in-Hospital Mortality after Acute Stroke: Impact of Gender

The purpose of this study was to identify predictors of in-hospital mortality after acute stroke and investigate the impact of gender on stroke mortality. All patients admitted to Al-watani governmental hospital in Palestine from September 2006 to August 2007 and diagnosed with acute stroke were included in the study. Diagnosis of stroke was confirmed by computerized tomography scan. Demographics and clinical data pertaining to the patients were obtained from their medical files. The main outcome measure in this study was vital status at hospital discharge. Multiple logistic regression analysis was used to identify the independent predictors of in-hospital mortality. Statistical analysis was carried out using SPSS 15. A total of 186 acute stroke cases (95 females and 91 males) were included in the study. Hypertension (69.9%) and diabetes mellitus (45.2%) were the most common risk factors among the patients. Thirty nine (21%) of the stroke patients died in hospital. Multiple logistic regression analysis indicated that chronic kidney disease (P = 0.004), number of post-stroke complications (P = 0.037), and stroke subtype (P = 0.015) were independent predictors of in-hospital mortality among the total stroke patients. Knowledge of in-hospital mortality predictors is required to improve survival rate after acute stroke. The study showed that gender was not an independent predictor of mortality after acute stroke. More research is required to understand gender differences in stroke mortality.

Escalating Levels of Access to In-Hospital Care and Stroke Mortality

Background and Purpose— Organized stroke care is an integrated approach to managing stroke to improve stroke outcomes by ensuring that optimal treatment is offered. However, limited information is available comparing different levels of organized care. Our aim was to determine whether escalating levels of organized care can improve stroke outcomes.

Methods— Cohort study including patients with acute ischemic stroke between July 2003 and March 2005 in the Registry of the Canadian Stroke Network (RCSN). The RCSN is the largest clinical database of patients with acute stroke patients seen at selected acute care hospitals in Canada. As stroke unit admission does not automatically imply receipt of comprehensive care, we created the organized care index to represent different levels of access to organized care ranging from 0 to 3 as determined by the presence of occupational therapy/physiotherapy, stroke team assessment, and admission to a stroke unit. The primary end point was early stroke mortality. Secondary end points include 30-day and 1-year mortality.

Results— Overall, 3631 ischemic stroke patients were admitted to 11 hospitals. Seven day stroke mortality was 6.9% (249/3631), 30-day stroke mortality was 12.6% (457/3631), and 1-year stroke mortality was 23.6% (856/3631). Risk-adjusted 7-day mortality was 2.0%, 3.2%, 7.8%, and 22.5% for organized care index of 3, 2, 1, and 0. Higher level of care was associated with lower adjusted mortality (for organized care index 3, OR 0.03, 95% CI 0.02 to 0.07 for 7-day mortality; OR 0.09, 95% CI 0.05 to 0.17 for 30-day mortality; and OR 0.40, 95% CI 0.25 to 0.64 for 1-year mortality).

Conclusions— Higher level of access to care was associated with lower stroke mortality rates. Establishing a well-organized and multidisciplinary system of stroke care will help improve the quality of service delivered and reduce the burden of stroke.

The impact of acute kidney injury on short-term survival in an Eastern European population with stroke

BACKGROUND

Stroke is one of the leading causes of death and of serious disability with significant impact on patients' long-term survival. The short-term evolution following stroke can associate acute kidney injury (AKI) as a possible complication, frequently overlooked and underestimated in clinical trials. We aimed to describe in an East European cohort (i) the incidence of AKI and its risk factors; (ii) the 30-day mortality and its risk factors and (iii) the relationship between mortality, pre-existent renal function and subsequent AKI.

METHODS

A total of 1090 consecutive cases hospitalized-during a 12-month period-with a CT-confirmed diagnosis of stroke, from a distinct administrative region were included. Demographic details, comorbidities, laboratory and outcome data were retrieved from the electronic hospital database. All patients included in the study were followed for 30 days or until death.

RESULTS

The mean age of this population was 66.1 +/- 11.5 years, 49.3% were males, mean glomerular filtration rate (GFR) 68.9 +/- 22.6 ml/min/1.73 m(2). The 30-day mortality rate was 17.2%. One hundred and fifty-eight patients presented with haemorrhagic stroke and 932 patients had ischaemic stroke. Stroke mortality was-14% for ischaemic stroke and almost twice as high for haemorrhagic stroke-36.3%. One hundred fifty-eight (14.5%) patients were classified as developing AKI. The AKI patients were older, had a higher baseline serum creatinine, lower GFR, higher serum glucose, higher prevalence of chronic heart failure and ischaemic heart disease, were more likely to have suffered a haemorrhagic stroke, and had a significantly higher 30-day mortality rate (43.1 vs 12.8%) (P < 0.05 for all). Independent predictors for AKI development in the logistic regression analysis were age, GFR, presence of comorbidities (ischaemic heart disease and chronic heart failure) and type of stroke (Cox and Snell R(2) 0.244; Nagelkerke R(2) 0.431; P < 0.05). In our study, we demonstrated that the occurrence of AKI is not a rare finding in stroke patients. This is the first study to report the incidence of AKI in a distinct geographic population base, in patients with stroke. Baseline renal function emerged as both a significant independent marker for short-term survival after an acute stroke (even after adjustment for baseline comorbidities) and as a risk factor for subsequent AKI.

Prediction of early mortality after acute stroke

The purpose of this trial was to identify clinical factors and evaluation studies with significant value as mortality predictors in patients suffering an acute stroke. One hundred forty-eight consecutive patients hospitalized at the Hospital de Clínicas, Montevideo, with a clinical diagnosis of stroke were studied: 85 had ischemic strokes and 63 presented with intracerebral hemorrhages. The potentially predictive variables (past medical history, clinical assessment, neuroimaging, biochemical analysis) were evaluated within the first 24 hours of admission; patient follow-up was performed until they left the hospital or died. The modified National Institutes of Health Stoke Scale (NIHSS) was used to assess neurologic impairment. Three variables were identified as early mortality predictors in this population: (1) Glasgow Coma Scale score < or = 11 on admission (R = 0.19); (2) severe mass effect, defined as the presence of ventricular shift across the midline and/or enlargement of contralateral ventricle in early computed tomography (CT) scan (R = 0.26); and (3) modified NIHSS quotient score > or = 0.26 on admission (R = 0.27). We conclude that modified NIHSS was the most consistent instrument for an early identification of patients at high mortality risk, even before confirmatory evidence of the stroke's nature was obtained. A cutoff of 0.26 on NIHSS quotient score on admission was identified as the most significant predictive value.

Racial differences in hospital discharge disposition among stroke patients in Maryland

OBJECTIVE

The objective of this retrospective study was to assess the evidence for racial differences in discharge disposition among patients hospitalized for stroke.

DATA

Hospital discharge data from the Maryland Health Services Cost Review Commission were used in the analysis. The data covered the period from January 2000 to September 2003.

STUDY DESIGN

Discharge-disposition categories were ordered such that higher numbers corresponded to less desirable outcomes: 1 = discharge to home; 2 = discharge to any medical care facility; 3 = death. We analyzed the influence of black race on the discharge disposition by estimating a partial proportional odds logit regression model that included demographic and clinical covariates.

DATA EXTRACTION

The study inclusion criteria were 1) stroke (ICD9 431-434; 436-438) as a primary admission diagnosis and 2) patient race identified as black or white. Patients discharged against medical advice were excluded. The sample contained 51,564 stroke hospitalizations.

PRINCIPAL FINDINGS

Based on the relative odds ratios (OR; 95% confidence interval [CI]), black males were more likely to be discharged to higher ranked (i.e., less desirable) discharge categories (OR = 1.66; CI 1.55-1.77) compared to white males. Black females were more likely to die (OR = 1.14; CI 1.02-1.28) and more likely either to die or to be discharged to medical care (OR = 1.38; CI 1.24-1.54) compared to white males.

CONCLUSIONS

Blacks are at greater mortality risk following stroke hospitalizations and face less desirable discharge dispositions if they survive. These results are consistent with prior reports of lower survival rates among blacks and are robust to adjustments for various confounding factors.

Impact of comorbidity on ischemic stroke outcome

OBJECTIVE

To evaluate the impact of comorbidity on stroke outcome of patients admitted to a general ward (GW) and a stroke unit (SU).

METHODS

Data of 266 patients with acute ischemic stroke (GW: 103, SU: 163) were collected prospectively for 13 months. Clinical and radiological findings, and the Charlson Comorbidity Index (CCI) were recorded. Predictors of outcome 4 months after stroke were analyzed. Favorable outcome was defined as modified Rankin Scale (mRS) score of < or = 2, unfavorable as mRS >2.

RESULTS

The mean age of the patients was 67.2 years (SD = 14.4), the mean CCI 1.2 (SD = 1.4). In univariate analysis, small artery disease predicted favorable outcome (P < 0.001) and age (P = 0.022), high National Institutes of Health Stroke Scale (NIHSS) score (P < 0.001), high CCI (P < 0.001), treatment in a GW (P = 0.004), coronary artery disease (P = 0.02), dementia (P = 0.009), diabetes (P = 0.005) and atrial fibrillation (P < 0.001) unfavorable outcome after 4 months. In multivariate analysis, high NIHSS score (P < 0.001), atrial fibrillation (P = 0.004), coronary artery disease (P = 0.012) and diabetes (P = 0.031) were predictors of unfavorable outcome.

CONCLUSIONS

Comorbidity has a significant impact on stroke outcome. In addition to stroke severity, atrial fibrillation, coronary artery disease and diabetes were predictors of outcome after stroke, but not the sum of the CCI.

Previous antiplatelet therapy is an independent predictor of 30-day mortality after spontaneous supratentorial intracerebral hemorrhage

BACKGROUND

Intracerebral hemorrhage (ICH) constitutes 10% to 15% of all strokes. Despite several existing outcome prediction models for ICH, there are some factors with equivocal value as well as others that still have not been evaluated.

PATIENTS AND METHODS

All patients with first ever supratentorial ICH presenting to our institution between December 1995 and December 2002 were prospectively enrolled into the study. Patients with historic modified Rankin Scale > 2 and those under anticoagulant treatment or with multiple ICH were excluded. The following parameters were analyzed in 194 consecutive patients: age, gender, past history of hypertension, diabetes mellitus, hypercholesterolemia, past history of ischemic stroke, presence of ischemic heart disease or cardioembolic disease, current antiplatelet treatment, current alcohol overuse, smoking, Glasgow Coma Scale score (GSS) at admission, volume and location (deep or lobar) of ICH, ventricular extension, glycemia and temperature at admission, and leukoaraiosis. We correlated these data with the 30-day mortality identifying the independent predictors by logistic regression analysis.

RESULTS

Factors independently associated with 30-day mortality were: age, Glasgow Coma Scale score at admission, ICH volume, ventricular extension, glucose level at admission, and previous antiplatelet use.

CONCLUSIONS

Apart from the classical outcome predictors, the previous use of antiplatelet agents and the glucose value at admission are independent predictors of 30-day mortality in patients suffering a supratentorial ICH.

The impact of ageing on stroke subtypes, length of stay and mortality: study in the province of Teruel, Spain

BACKGROUND AND PURPOSE

During the last three decades, there have been important advances in the diagnosis and treatment of stroke leading to a decline in mortality rates in western countries. However, the longer life expectancy and the higher proportion of elderly people in the structure of the population may partially counteract this positive trend in stroke-related mortality. The purpose of this study was to analyse the impact of a high ageing index of the population on stroke-related variables such as stroke subtypes, length of hospital stay and mortality from stroke.

METHODS

We analysed the data of 1850 consecutive patients with first-ever stroke retrieved from a prospective registry over a period of 8 years (1994-2001) in the province of Teruel, Spain, with two public hospitals in the catchment area. The mean age was 75.5 years (SD: 9.4) and the sex was male in 62% of cases. The variables included in the study were vascular risk factors, stroke subtypes, fatality rate, length of stay and mortality. Mortality was assessed from 1990 to 2000.

RESULTS

Arterial hypertension and atrial fibrillation were the most frequent risk factors, with an observed high frequency of cardioembolic stroke. The mean 28-day case fatality rate was 16.6%, ranging from 11.9% in 1994 to 23.4% in 1999. We found complications in 38% of patients, especially in the elderly. Fatality occurred in 20.3% of elderly subjects (65 or over) in comparison to 7.25% for those younger (Relative risk: 2.8; 95% CI: 1.475.3). Crude mortality rates were higher than for the general population in Spain and ranged from 169 in 1991 to 139/100,000 in 2000 with higher rates for women. However, the age-adjusted mortality rate to the standard European population was 56.6/100,000 (95% CI: 4664) in 1999, which was similar to that found in Spain (61/100,000).

CONCLUSIONS

The impact of ageing on case fatality and mortality by stroke was substantial. Whereas mortality by stroke stabilized after decreasing in our province and in Spain in the last decade, fatality rates have significantly increased in our province because of the high proportion of elderly people and to the high rate of post-stroke complications.

Short-term, intermediate-term, and long-term mortality in patients hospitalized for stroke

Cerebrovascular disease is the third leading cause of death and the primary cause of long-term disability in the United States. Although the risk factors for stroke have been well defined, less is known about stroke mortality over varying time periods within the same cohort of patients. The purpose of this study is to define rates of short-term, intermediate-term, and long-term stroke mortality among patients experiencing a first-ever hemorrhagic or ischemic stroke between 1994 and 1998. Patients were identified from the Patient Treatment Files of the Department of Veterans Affairs (VA). We included all patients who were discharged from a VA inpatient facility with a diagnosis of acute stroke. Patients were excluded from the study if they had an admission within the previous 5 years for stroke or hemiplegia. We obtained information on the patient's age, gender, and coexisting illnesses. Unadjusted and adjusted 30-day mortality rates were computed using Kaplan-Meier analyses and Cox proportional hazards regression models. The survival-dependent Cox proportional hazards regression models were run for 31-90 days and 91-365 days from the index admission date, for patients who had survived to the start of each of these time periods. Separate models were run for ischemic (n = 34,866 patients) and hemorrhagic (n = 5,442 patients) strokes. Unadjusted 30-day mortality was 8.2 and 20.5% for ischemic and hemorrhagic strokes, respectively. The adjusted 30-day mortality rate was 7.4 and 18.8% for ischemic and hemorrhagic strokes, respectively. For ischemic stroke, age 65 years and older was associated with an increased risk for short-term, intermediate-term, and long-term mortality, while chronic heart failure was associated with an increased risk for short-term and long-term mortality. For hemorrhagic stroke, age 75 years and older, malignancy, and chronic heart failure were associated with increased mortality during all three time periods. Thirty-day mortality is over two times greater following hemorrhagic stroke vs. ischemic stroke. For patients who survive 30 days after an ischemic stroke, the risk factor that remains significantly associated with long-term mortality, which may be improved with appropriate process of care, is chronic heart failure. For patients with a hemorrhagic stroke, variables that remain significantly associated with increased short-term and long-term mortality include malignant neoplasm and chronic heart failure. Information on stroke mortality is important for patients, physicians, and researchers. In addition to stroke treatment, clinicians must be able to provide families of stroke victims with appropriate prognostic information. Further work is needed to assess the impact of actual care patterns, for the above identified risk factors, on stroke prognosis over varying time periods.

Vertebral artery stenting using distal emboli protection and transcranial Doppler

Recent studies have shown the feasibility and safety of the percutaneous approach for the treatment of vertebrobasilar disease using either balloon angioplasty alone, coronary stents, or combined angioplasty followed by stenting. The major concern in performing percutaneous procedures for the treatment of obstructive disease of the vertebrobasilar circulation involves the risk of embolic phenomena. We describe the successful treatment of a symptomatic patient with bilateral vertebrobasilar disease utilizing a distal protection filter during stenting with simultaneous use of transcranial Doppler to measure microembolization and vertebral artery blood flow during the procedure.

Life expectancies among survivors of acute cerebrovascular disease

BACKGROUND AND PURPOSE

Stroke survivors represent a large group of persons for whom age-differentiated life expectancy tables do not exist. Such tables are vital for many purposes. The aim of the present study was to estimate age- and sex-specific life expectancies among individuals who have survived the acute phase (1 month) of a cerebrovascular disease (CVD).

METHODS

All patients who were registered with the Swedish National Hospital Discharge Registry with an admission for CVD (ICD codes 430 to 438) between January 1, 1989, and November 30, 1993, and were alive at the end of 1993 (N=103 591) were followed for mortality rates in 1994. The same was done for 1983. Actuarial analyses were used to convert death rates into life expectancies.

RESULTS

Life expectancy among CVD survivors increased with time (1983 versus 1994): 22.9% for men (95% CI 18.3% to 27.6%) and 12.9% for women (95% CI 9.1% to 16.6%). The life expectancy ratio in 1983 between CVD survivors and the general population was 0.571 (95% CI 0.533 to 0.590) for men and 0.578 (95% CI 0.562 to 0.592) for women. In 1994, the corresponding ratios were 0.641 (95% CI 0.629 to 0.654) and 0.611 (95% CI 0.601 to 0.622). The life expectancy ratios between female and male survivors were 1.28 (95% CI 1.23 to 1.34) in 1983 and 1.18 (95% CI 1.15 to 1.21) in 1994. The prognosis for survivors who experienced occlusion and stenosis of the precerebral arteries was better than that for survivors of an intracerebral hemorrhage (P=4.4E-4) or occlusion of cerebral arteries (P=3.8E-8).

CONCLUSIONS

Although the prognosis has improved for all ages, stroke survivors still constitute a large group of persons with a low life expectancy compared with the general population.

Better outcome after stroke with higher serum cholesterol levels

OBJECTIVE

To examine whether serum cholesterol levels have any prognostic value in the first month following acute ischemic stroke.

BACKGROUND

Although the association between serum cholesterol levels and cerebrovascular disorders has been extensively studied, the relationship between cholesterol levels and outcome following ischemic stroke has not been investigated.

METHODS

Using data from 3,273 consecutive patients with first-ever ischemic stroke, the authors compared poor functional outcome (severe disability or death) at 1 month in patients with high cholesterol (total serum cholesterol greater than 6.5 mmol/L or 250 mg/dL) and normal cholesterol (level equal to or less than 6.5 mmol/L or 250 mg/dL). Data were analyzed by univariate and multivariate analysis.

RESULTS

In comparison with patients with normal cholesterol levels, patients with high cholesterol levels had a 2.2-fold lower risk of death (p = 0.002) and a 2.1-fold lower risk of poor functional outcome at 1 month (p < 0.001). After adjustment for known confounding variables, multivariate analysis showed that higher cholesterol levels remained an independent predictor of better functional outcome (OR 0.48, CI 0. 34 to 0.69, p < 0.001).

CONCLUSIONS

The authors' findings suggest that higher levels of cholesterol are associated with a better outcome in the early phase after ischemic stroke.