Literature DB >> 29570742

Impact of acute-phase complications and interventions on 6-month survival after stroke. A prospective observational study.

Antonio Di Carlo1, Maria Lamassa2, Marco Franceschini3,4, Francesca Bovis2,5, Lorenzo Cecconi6, Sanaz Pournajaf3, Stefano Paravati3, Annibale Biggeri6, Domenico Inzitari1,2, Salvatore Ferro7.   

Abstract

The outcome of stroke patients is complex and multidimensional. We evaluated the impact of acute-phase variables, including clinical state, complications, resource use and interventions, on 6-month survival after first-ever stroke, taking into account baseline conditions exerting a possible effect on outcome. As part of a National Research Program, we performed a prospective observational study of acute stroke patients in four Italian Regions. Consecutive patients admitted for a period of 3 months to the emergency rooms of participating hospitals were included. A total of 1030 patients were enrolled (median age 76.0 years, 52.1% males). At 6 months, 816 (79.2%) were alive, and 164 (15.9%) deceased. Survival status at the 6-month follow-up was missing for 50 (4.9%). Neurological state in the acute phase was significantly worse in patients deceased at 6 months, who showed also higher frequency of acute-phase complications. Cox regression analysis adjusted for demographics, pre-stroke function, baseline diseases and risk factors, indicated as significant predictors of 6-month death altered consciousness (HR, 1.70; 95% CI, 1.14-2.53), total anterior circulation infarct (HR, 2.13; 95% CI, 1.44-3.15), hyperthermia (HR, 1.70; 95% CI, 1.18-2.45), pneumonia (HR, 1.76; 95% CI, 1.18-2.61), heart failure (HR, 2.87; 95% CI, 1.34-6.13) and nasogastric feeding (HR, 2.35; 95% CI, 1.53-3.60), while antiplatelet therapy during acute phase (HR, 0.56; 95% CI, 0.39-0.79), and early mobilisation (HR, 0.55; 95% CI, 0.36-0.84) significantly increased 6-month survival. In a prospective observational study, stroke severity and some acute-phase complications, potentially modifiable, significantly increased the risk of 6-month death, independently of baseline variables. Early mobilisation positively affected survival, highlighting the role of early rehabilitation after stroke.

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Year:  2018        PMID: 29570742      PMCID: PMC5865737          DOI: 10.1371/journal.pone.0194786

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The outcome of stroke patients is complex and multidimensional, and depends on a number of pre-stroke and acute-phase variables. Baseline determinants include demographics,[1,2] vascular risk factors,[3,4] pre-existing comorbidities and functional status.[5] Considering acute-phase determinants, some are intrinsic to the stroke event itself, such as clinical and pathological types, which influence the severity of presentation.[6,7] Others depend on the interventions and procedures specifically adopted in the different settings,[8,9] as well as on the occurrence of stroke-related complications during hospitalisation. Complications during the acute phase include both medical and neurological complications. They influence length of hospital stay, access to rehabilitation, survival, functional outcome and overall costs of stroke care.[10,11] So far, studies on stroke outcome have often evaluated the role of single acute-phase variables,[8,9,12-14] reporting on their frequency and effect on clinical course, while a more global framework of acute-phase variables with a potential impact on long-term outcome, taking also into account the role of baseline pre-stroke determinants, is lacking. Implementation of evidence-based interventions in stroke care is receiving increasing attention, due to the perceived necessity to narrow the gap between research findings and everyday practice.[15] The Emilia-Romagna Region, supported by the Italian Ministry of Health, coordinated the National Research Program: “Taking charge of stroke patients: implementation of integrated pathways of care and management tools”. The Program included a prospective observational study in four Italian Regions. The present research aims to evaluate the impact of acute-phase variables on survival 6 months after a first-ever stroke, taking into account baseline conditions exerting a possible impact on the selected outcome.

Methods

Study design

We performed a prospective observational study on stroke care in Italy in 19 hospitals located in four Regions of Northern and Central parts of the country: Emilia-Romagna, Toscana, Umbria and Lazio. All hospitals had an emergency department and a minimum of 50 acute stroke patients discharged per year; five were university hospitals, the remaining were large community hospitals having a wide range of specialties and providing advanced diagnostic procedures (e.g., magnetic resonance diagnostics). Starting from November 1st, 2012, and for the subsequent 3 months, all consecutive patients admitted to the emergency rooms of participating hospitals with a confirmed diagnosis of first-ever stroke were included. Exclusion criteria were age <18 years, in-hospital stroke, and death within 24 hours of admission. Stroke was defined according to World Health Organization,[16] and classified into cerebral infarction, primary intracerebral haemorrhage, and subarachnoid haemorrhage, based on at least one of the following: brain imaging (CT/MRI) performed within 30 days of stroke onset, cerebrospinal fluid analysis, or necropsy examination. Cases without subtype confirmation were unspecified stroke. Following the Oxfordshire Community Stroke Project criteria,[17] ischemic stroke subtypes were classified as total anterior circulation infarct (TACI), partial anterior circulation infarct (PACI), posterior circulation infarct (POCI) or lacunar infarct (LACI).

Data collection

Specially trained physicians collected data in participating hospitals during the acute-phase (defined as length of stay in the ward of admission before discharge home, to rehabilitation ward, long-term care, or in-hospital death), and at the 6 months follow-up. To minimize across units and interobserver variability, a centralised training was organized to explain research design and study protocol to fieldworkers. Standardized protocols for case-ascertainment were provided, and common data collection tools were used. Problems occurring during data collection were discussed with the coordinating centers (Bologna and Florence). Data gathering was performed through structured questionnaires directly from the patient/family and hospital records. Fieldworkers had access to the dataset but were not aware of planned analyses. Information was collected on the following variables: Baseline characteristics: age, sex, living conditions (home alone, with others, in institution), education, pre-stroke functional status evaluated with the modified Rankin scale,[18] and drug usage before stroke. Vascular risk factors and comorbid conditions: hypertension (previous diagnosis, current treatment, or values ≥140/90 mmHg in at least 2 subsequent measurements), previous myocardial infarction, cardiac valvular disease, atrial fibrillation (medical history and/or positive ECG), heart failure, diabetes mellitus (previous diagnosis or on diabetic medication), hypercholesterolemia, smoking (current or former), peripheral artery disease, and transient ischemic attack. Clinical state: neurological examination and assessment of clinical severity, evaluated with the National Institutes of Health Stroke Scale (NIHSS).[19] The NIHSS score was categorized into three classes: 0–5 (low severity), 6–13 (moderate severity), and >13 (high severity). This categorization was based on previous analyses of stroke severity in relation to outcome from population-based studies and clinical trials.[20,21] Complications during acute phase: hyperglycaemia (glucose level >10 mmol/L, 180 mg/dL), hyperthermia (body temperature over 38°C), pneumonia (diagnosed by the treating physician, based on the presence of respiratory infection symptoms or signs, laboratory test and radiological evidence), pulmonary embolism, urinary retention, urinary tract infection (clinical symptoms and urine sample positive for nitrite, leucocyturia, and significant bacteriuria), heart failure (diagnosed by a cardiologist considering symptoms, signs, electrocardiography, chest X-ray, echocardiography), myocardial infarction, deep vein thrombosis (ultrasonography, with examination of the deep, superficial, and common femoral and popliteal veins), pressure ulcers, seizures. Diagnostic tests (brain imaging, carotid duplex scan, transcranial Doppler, transthoracic and transoesophageal echocardiogram), resource use and treatments during hospitalisation, including early mobilisation (out-of-bed performed activities: sitting, sit-to-stand transfers, standing and walking) of patients within 48 hours of stroke onset, and length of hospital stay. Functional status at discharge was evaluated using the Barthel Index,[22] with the following categorization: moderately or severely dependent (0–74), mildly dependent (75–84), independent ≥85.[23] The 6-month follow-up questionnaire was administered through a face-to-face (patient still in hospital or in outpatients clinic) or telephone direct or proxy interview. The study was approved by the ethics committee of the S. Orsola-Malpighi Hospital in Bologna, the national coordinating center, on February 14th 2012, Code 47/2012/O/Oss. Patients were evaluated for altered consciousness, cognitive or language deficits. Written informed consent was given directly by patients in absence of deficits, or by legal representatives or family members according to institutional guidelines.

Statistical analysis

Continuous variables are presented as median and 1st and 3rd quartiles, categorical variables as proportions. The chi-square test was used to compare categorical variables, and the Mann-Whitney U test for continuous variables. Cox proportional hazard models evaluated the independent effect of acute-phase variables on the risk of death 6 months after stroke. Hazard ratio (HR) and 95% confidence intervals (95% CI) were calculated. All variables showing statistically significant differences in univariate analysis, including demographics, pre-stroke function, baseline diseases and risk factors, were entered in the multivariate analyses, performed using a forward stepwise method (P entry = 0.05, P removal = 0.10). Intercorrelation was tested in order to avoid collinearity. All P-values were based on a 2-sided test and a significance level of < .05. Kaplan-Meier estimates and log-rank statistics evaluated cumulative risk of death at 6 months. Survival time was measured starting from date of stroke onset to death within the follow-up period for deceased patients. Survivors were censored at their date of follow-up interview. Analyses were performed using IBM-SPSS (Statistical Package for the Social Sciences), Version 23.0 (Armonk, NY: IBM Corp.).

Results

During the study period, 1030 patients with first-ever stroke were enrolled in participating hospitals [median age 76.0, (65.9–82.9) years; 52.1% males]. At 6 months 816 (79.2%) were alive, and 164 (15.9%) deceased. Information on survival status was missing for 50 patients (4.9%), which had complete baseline assessment, and were not significantly different from followed patients considering age [median age 79.9, (73.1–83.5) vs. 75.8 (65.6–82.9) years, P = 0.107 ], sex (males, 50.0% vs. 52.2%, P = 0.757), stroke severity (NIHSS distribution 0–5, 58.0%, 6–13, 28.0%, >13, 14.0%, vs. 51.6%, 27.2%, and 21.2%, respectively, P = 0.239). Survival was not significantly different between the 2 types of hospitals (84.1% in university hospitals vs. 82.9% in large community hospitals, P = 0.660). Table 1 reports the frequency of baseline variables by survival status at follow-up.
Table 1

Distribution of baseline variables among survivors and deceased at 6 months from acute stroke.

VariableSurvivorsn = 816Deceasedn = 164PTotal samplen = 980
Median age (1st-3st quartiles), y74.4 (64.0–81.6)82.7 (76.8–88.1)<0.00175.8 (65.6–82.9)
Sex (males)53.2%47.6%0.18852.2%
Living at home alone20.2%15.0%0.13019.3%
Living at home with others78.9%79.4%0.90579.0%
Institutionalized0.9%5.6%<0.0011.7%
High school level or higher26.0%12.8%<0.00123.8%
Hypertension73.9%87.2%<0.00176.1%
Previous myocardial infarction11.2%15.2%0.13911.8%
Cardiac valvular disease6.4%9.1%0.1996.8%
Atrial fibrillation17.4%31.7%<0.00119.8%
Heart failure3.3%8.5%0.0024.2%
Diabetes20.6%24.4%0.27721.2%
Hypercholesterolemia36.4%22.0%<0.00134.0%
Current or previous smoking50.8%46.2%0.33050.1%
Peripheral artery disease5.8%9.1%0.1046.3%
Transient ischemic attack7.0%7.3%0.8807.0%
Antihypertensive therapy64.3%79.3%<0.00166.8%
Antiplatelet therapy36.2%45.1%0.03137.7%
Anticoagulant therapy7.2%14.6%0.0028.5%
Antidiabetic drugs16.2%18.3%0.50616.5%
Cholesterol lowering drugs22.5%19.5%0.39222.0%
Pre-stroke modified Rankin 3–55.3%26.3%<0.0018.7%
Survivors were younger, less often institutionalized prior to stroke, and with a higher education level. Among comorbidities, hypertension, atrial fibrillation and heart failure were significantly more frequent at baseline in deceased patients, as well as a higher level of prestroke functional deficits assessed by the modified Rankin scale. Prior to stroke antihypertensive, antiplatelet and anticoagulant therapy was also significantly more often reported in deceased patients. Median length of acute stay was 9 (6–12) days in survivors and 10 (6–16) days for deceased patients (P = 0.010). Table 2 indicates that acute-phase clinical state was significantly more severe in patients deceased at 6 months.
Table 2

Clinical state at time of maximum impairment among survivors and deceased at 6 months from acute stroke.

VariableSurvivorsn = 816Deceasedn = 164PTotal samplen = 980
Altered consciousness9.8%46.7%<0.00115.7%
Motor deficits66.8%85.5%<0.00169.7%
Visual field deficits19.4%42.2%<0.00123.0%
Aphasia30.8%59.2%<0.00135.3%
Dysarthria31.0%24.5%0.12030.0%
Dysphagia23.2%62.2%<0.00129.7%
Urinary incontinence8.6%22.0%<0.00110.8%
NIH Stroke Scale<0.001*
0–557.7%19.7%51.6%
6–1328.2%21.7%27.2%
>1314.1%58.6%21.2%
Stroke pathological type
Ischemic stroke84.9%69.5%<0.00182.3%
Intracerebral haemorrhage12.8%26.8%<0.00115.1%
Subarachnoid haemorrhage1.7%2.5%0.5291.9%
Unspecified stroke0.6%1.2%0.4000.7%
Syndromes of ischemic stroke
TACI7.5%31.1%<0.00111.4%
PACI39.6%18.9%<0.00136.1%
POCI15.3%9.1%0.03914.3%
LACI16.0%4.3%<0.00114.1%
Unspecified ischemic stroke6.5%6.1%0.8506.4%

* P for trend

* P for trend They showed significantly more often altered consciousness, motor and visual field deficits, aphasia, dysphagia and urinary incontinence. NIHSS score was also significantly higher in deceased patients. Intracerebral haemorrhage was significantly more frequent in deceased patients, as well as a diagnosis of TACI among the clinical syndromes of ischemic stroke. Complications in the acute phase are reported in Table 3.
Table 3

Complications in acute phase among survivors and deceased at 6 months from acute stroke.

VariableSurvivorsn = 816Deceasedn = 164PTotal samplen = 980
Hyperglycaemia3.3%9.1%0.0014.3%
Hyperthermia10.4%39.6%<0.00115.3%
Pneumonia5.3%24.4%<0.0018.5%
Pulmonary embolism0.4%0.6%0.6570.4%
Urinary retention2.3%6.1%0.0093.0%
Urinary tract infections7.7%17.1%<0.0019.3%
Heart failure1.0%6.7%<0.0011.9%
Myocardial infarction0.2%1.2%0.0740.4%
Deep vein thrombosis3.2%1.8%0.3493.0%
Pressure ulcers2.9%9.8%<0.0014.1%
Seizures1.8%7.9%<0.0012.9%
Those occurring with significantly higher frequency in deceased patients were hyperglycaemia, hyperthermia, pneumonia, urinary retention, urinary tract infections, heart failure, pressure ulcers and seizures. Table 4 reports resource use and interventions in acute phase.
Table 4

Resource use and interventions during hospitalisation among survivors and deceased at 6 months from acute stroke.

VariableSurvivorsn = 816Deceasedn = 164PTotal samplen = 980
Stroke unit admission60.0%59.8%0.94460.0%
Modified diet19.1%17.1%0.54118.8%
Nasogastric feeding8.5%51.2%<0.00115.6%
Percutaneous endoscopic gastrostomy0.9%0.6%0.7470.8%
Urinary catheterization27.9%65.2%<0.00134.2%
Deep vein thrombosis prophylaxis33.5%43.9%0.01135.2%
CT scan91.3%94.5%0.17091.8%
MRI40.2%13.4%<0.00135.7%
Carotid duplex scan68.4%47.6%<0.00164.9%
Transcranial Doppler24.0%7.9%<0.00121.3%
Transthoracic echocardiogram44.4%26.8%<0.00141.4%
Transoesophageal echocardiogram8.6%3.0%0.0157.7%
Antiplatelet therapy67.4%46.3%<0.00163.9%
Oral anticoagulant therapy12.7%10.4%0.39812.3%
Cholesterol lowering drugs37.6%15.2%<0.00133.9%
Insulin7.1%11.6%0.0527.9%
Intravenous thrombolysis15.1%4.9%<0.00113.4%
Intra-arterial thrombolysis2.5%0.0%0.0432.0%
Carotid endarterectomy2.2%0.6%0.1761.9%
Carotid angioplasty and stenting1.7%1.8%0.9191.7%
Early mobilisation51.1%20.1%<0.00145.9%
Significantly more frequent in patients deceased at 6 months were nasogastric feeding and urinary catheterization, while significantly more frequently used in survivors resulted MRI, carotid and transcranial Doppler, transthoracic and transoesophageal echocardiograms. Antiplatelets and cholesterol lowering drugs were also more significantly often used in survivors, as well as intravenous and intra-arterial thrombolysis. Early mobilisation was reported in 51.1% of survivors and in 20.1% of patients deceased at 6 months (P<0.001). The role of NIHSS on functional status and survival at discharge was also evaluated. In survivors, 26.2% of patients scoring 0–5 at NIHSS were in the Barthel Index group scoring 0–74, 4.8% in the group scoring 75–84, and 69.0% in those scoring ≥85. Of patients in the NIHSS category 6–13, 68.6% were in the Barthel Index group scoring 0–74, 6.2% in the group scoring 75–84, and 25.2% in those scoring ≥85. Considering patients in the NIHSS >13 category, 88.5% were in the Barthel Index group scoring 0–74, 2.7% in the group scoring 75–84, and 8.8% in those scoring ≥85 (P for trend <0.001). In patients deceased at 6 months, but alive at discharge, 68.2% of patients scoring 0–5 at NIHSS were in the Barthel Index group scoring 0–74, 9.1% in the group scoring 75–84, and 22.7% in those scoring ≥85. All patients in NIHSS categories 6–13 and >13 were in the Barthel Index group scoring 0–74 (P for trend <0.001). Considering patients scoring 0–5 at NIHSS, 1.6% deceased during the acute phase, compared with 3.9% of patients scoring 6–13, and 19.8% of those scoring >13 (P for trend <0.001). Cox regression analysis evaluating the independent effect of acute-phase variables on survival, adjusted for demographics, pre-stroke function, baseline diseases and risk factors, and including indicators of stroke severity such as NIHSS and stroke subtypes, indicated that significant predictors of 6 months death were altered consciousness, TACI, hyperthermia, pneumonia, heart failure and nasogastric feeding, while performing MRI, antiplatelet therapy and early mobilisation in acute phase significantly increased the probability of survival at follow-up (Table 5).
Table 5

Acute-phase variables as predictors of 6-month mortality after stroke.

Cox regression analysis adjusted for demographics, pre-stroke function, baseline diseases and risk factors. Total sample.

VariablePHR (95% CI)
Altered consciousness0.0091.70 (1.14–2.53)
TACI<0.0012.13 (1.44–3.15)
Hyperthermia0.0051.70 (1.18–2.45)
Pneumonia0.0051.76 (1.18–2.61)
Heart failure0.0062.87 (1.34–6.13)
Nasogastric feeding<0.0012.35 (1.53–3.60)
MRI0.0180.55 (0.34–0.90)
Antiplatelet therapy0.0010.56 (0.39–0.79)
Early mobilisation0.0050.55 (0.36–0.84)

Acute-phase variables as predictors of 6-month mortality after stroke.

Cox regression analysis adjusted for demographics, pre-stroke function, baseline diseases and risk factors. Total sample. To control for a possible “indication/reversal causality” effect, i.e. increased probability of patients with minor events to receive antiplatelet therapy and early mobilisation in acute phase, we performed a subgroup analysis for the three NIHSS classes of severity. The role of antiplatelets was confirmed for patients in the NIHSS group 0–5, (HR, 0.37, 95% CI, 0.17–0.80; P = 0.012), and the positive effect of early mobilisation for patients in the NIHSS group 6–13 (HR, 0.41, 95% CI, 0.18–0.94; P = 0.034), and >13 (HR, 0.46, 95% CI, 0.22–0.98; P = 0.045). More detailed information is provided in S1 Table. We also evaluated possible predictors of ischemic or haemorrhagic stroke in two models of Cox regression analysis. For ischemic stroke, significant predictors of 6-month survival were essentially coincident with those found for total sample, as shown in Table 6.
Table 6

Acute-phase variables as predictors of 6-month mortality after ischemic stroke.

Cox regression analysis adjusted for demographics, pre-stroke function, baseline diseases and risk factors.

VariablePHR (95% CI)
Altered consciousness0.0041.99 (1.25–3.17)
Hyperthermia0.0012.08 (1.34–3.25)
Pneumonia0.0012.16 (1.37–3.40)
Nasogastric feeding<0.0014.16 (2.58–6.71)
MRI0.0180.53 (0.31–0.90)
Antiplatelet therapy0.0010.49 (0.32–0.75)
Early mobilisation0.0190.55 (0.33–0.91)

Acute-phase variables as predictors of 6-month mortality after ischemic stroke.

Cox regression analysis adjusted for demographics, pre-stroke function, baseline diseases and risk factors. Stroke severity, as evaluated with NIHSS, was a major predictor of outcome in haemorrhagic stroke, together with heart failure and modified diet (Table 7).
Table 7

Acute-phase variables as predictors of 6-month mortality after intracerebral haemorrhage.

Cox regression analysis adjusted for demographics, pre-stroke function, baseline diseases and risk factors.

VariablePHR (95% CI)
NIHSS0.001
NIHSS 6–13 (ref. 0–5)0.1482.43 (0.73–8.08)
NIHSS >13 (ref. 0–5)<0.0015.35 (2.21–12.93)
Heart failure0.0117.48 (1.60–34.94)
Modified diet0.0070.17 (0.05–0.61)

Acute-phase variables as predictors of 6-month mortality after intracerebral haemorrhage.

Cox regression analysis adjusted for demographics, pre-stroke function, baseline diseases and risk factors. Fig 1 shows the Kaplan-Meier survival curves for patients with or without acute-phase variables predictive of outcome (all log-rank tests P<0.001).
Fig 1

Kaplan-Meier survival estimates within 6 months after stroke onset according to acute-phase variables predictive of outcome (total sample).

Discussion

In a prospective survey of 980 patients hospitalised for first-ever stroke, we evaluated the role of acute-phase variables on survival 6 months after the acute event. Controlling for baseline variables with a possible influence on outcome, we found that stroke severity and acute-phase complications of hyperthermia, pneumonia, heart failure and necessity of nasogastric feeding all increased the risk of death 6 months after stroke. Improved survival was instead associated with some acute-phase interventions: performing MRI, use of antiplatelets during hospitalisation, and early mobilisation of patients. Sixty percent of our patients were admitted to a stroke unit. In Italy, stroke patients are mainly admitted to general medicine wards, neurological wards, stroke units and geriatric wards. On a national basis, only about one third of total stroke patients are currently admitted to stroke units. The percentage, although still unsatisfactory, is higher in Northern and Central Italy, where are located more than 85% of Italian stroke units.[15] The outcome of patients admitted to stroke units was not significantly different considering patients admitted to other medical wards. However, a stroke unit was present in all but four of the hospitals included in our survey. Therefore, a treatment contamination effect may not be excluded when comparing different wards of the same hospital, with a potential dissemination of stroke units methods to the other medical wards. Altered consciousness in acute phase reflects the severity of the stroke event, and is among the most recognized predictors of death.[24] The diagnosis of TACI is also related to a higher severity of stroke. Larger infarcts are more prone to edema development and hemorrhagic transformation,[25] and have also been associated with the presence atrial fibrillation,[6] another indicator of a worse prognosis.[3] A shorter survival in patients with TACI was reported in several surveys on stroke outcome.[6,24] Our study confirmed also the well-known role of NIHSS in predicting acute-phase and long-term mortality, particularly in patients with intracerebral haemorrhage.[26,27] In the first days of stroke, hyperthermia occurs in up to 30–40% of patients, and it is independently associated with poor outcome and increased mortality.[28] In our patients, multivariate analysis showed that hyperthermia during acute phase increases the risk of death by 70%. Hyperthermia eight hours after stroke onset was related to a poor outcome at 3 months in the Virtual International Stroke Trials Archive (VISTA),[29] with a similar increase in the risk (HR, 1.7; 95% CI, 1.2–2.2), and it increased mortality by 50% in a meta-analysis including 14 431 patients with stroke and other brain injuries.[30] Pneumonia is widely recognized among most frequent medical complications after stroke, with incidence ranging between 1% and 44%,[31] depending on clinical settings and heterogeneity of surveys. Stroke-associated pneumonia is thought to be secondary to aspiration and immunological alterations, part of the stroke-induced immunodepression.[32] Although in our sample we had a low frequency of pneumonia (8.5%), this complication occurred 5 times more frequently in patients deceased at 6 months, and increased the risk of mortality at follow-up by 76% after multiple adjustments. In other surveys, stroke patients with pneumonia showed significantly higher mortality than those without after 3 months,[33] and one year from the acute event.[34] Dysphagia is a frequent complication after stroke, reported in percentages ranging between 37% and 78% according to different surveys, probably reflecting wide differences in case-mix, study design and ascertainment.[35] Stroke patients with dysphagia are at increased risk of undernutrition and dehydration.[10] Dysphagia also significantly increases the risk of pneumonia,[35] disability, death and institutional care.[36] Modified diet and nasogastric feeding are used to meet nutritional requirements of dysphagic stroke patients: respective frequencies in our deceased patients were 17.1% and 51.2%. Only nasogastric feeding was selected in total sample and ischemic stroke as significant predictor of outcome in multivariate Cox regression, indicating that the effect on survival was probably explained by a different degree in the severity of dysphagia, while a beneficial effect of the modified diet was found in patients with intracerebral haemorrhage. In the first months from stroke, 2% to 6.2% of patients die from cardiac causes,[37] which include acute myocardial infarction, heart failure, ventricular tachycardia/fibrillation, and cardiac arrest.[38] Despite a potentially high impact on outcome, the role of heart failure has been specifically evaluated only by few studies. In the VISTA dataset, heart failure, diabetes, high baseline creatinine, severe stroke and a long QTc or ventricular extrasystoles on ECG were predictors of severe cardiac events in the acute phase of stroke.[38] In a series of 813 consecutive stroke patients, acute-phase heart failure was reported in 5%. At 3 months after stroke, 62.5% of patients with acute heart failure were dead, vs. 16.5% of patients without heart failure.[39] In our study, acute-phase heart failure occurred in 1.9% of patients. At follow-up, 57.9% of patients with acute heart failure were dead, vs. 15.9% of stroke patients without (P<0.001). The effect of heart failure on survival was shown in total sample and in patients with a diagnosis of intracerebral haemorrhage. These data suggest the need for a careful evaluation, monitoring and management of cardiac complications after stroke. In a recent survey of 6 regional or national stroke quality registers in Europe, brain and vascular imaging are among performance measures selected as indicators of quality of care, and possibly effective in influencing outcome.[40] However, we are very cautious about the prognostic value of MRI on outcome. Although studies showed higher sensitivity of MRI in detecting acute stroke,[41] in routine practice MRI is often used for detecting lesions in suspected stroke when CT scan results are inconclusive, as is the case for small ischemic lesions, which carry a more favourable outcome.[42] In our study MRI was performed in 20.5% of TACI and in 38.4% of LACI patients (P = 0.002). Moreover, median NIHSS was 4 (2–7) in patients with MRI performed and 7 (3–14) in patients without MRI (P<0.001). The role of early started antiplatelet therapy in improving survival and functional outcome of ischemic stroke patients, by reducing the volume of ischemic lesion and preventing early recurrent ischemic stroke, is well established.[9] In our survey this effect was evidenced in total sample, in ischemic stroke and in less severe stroke as evaluated with NIHSS. Early mobilisation after stroke is recommended by many guidelines, although they do not specify how soon after onset or how much therapy is best, largely due to insufficient evidence.[43] Advantages of early mobilisation include reduction of medical complications,[44] while a decrease of cerebral blood flow in critically hypoperfused regions with altered vasoregulation might explain the potentially harmful effects.[45] While phase II results of A Very Early Rehabilitation Trial (AVERT) showed benefits of very early and intensive mobilisation after stroke on functional outcome at 3 months,[46] final results of the trial showed that the higher dose and very early mobilisation protocol was associated with reduced odds of a favourable functional outcome at 3 months.[47] In the AVERT, 92% of patients were mobilised within 24 hours in the very early mobilisation group, compared with 59% of the usual care group. In our survey, percentages were more close to the usual care group, with 46% of patients receiving early mobilisation in a longer time period of 48 hours from stroke onset. Our study adds information to the still limited evidence of early mobilisation after stroke, showing a significantly positive effect on 6-month survival after controlling for baseline and acute-phase variables. This effect was confirmed in subgroup analyses for stroke severity defined according to NIHSS score in 6–13 and >13 classes of severity. A number of prognostic scales are available in stroke medicine, focused mainly on mortality or disability after the acute event.[48] The IScore,[49] the Acute Stroke Registry and Analysis of Lausanne (ASTRAL) Score,[50] the modified-Stroke subtype, Oxfordshire Community Stroke Project classification, Age, and prestroke modified Rankin (mSOAR),[51] are among the tools with the higher prognostic accuracy. The IScore includes age, sex, stroke severity, stroke subtype, smoking status, preadmission dependency, and the presence or absence of atrial fibrillation, heart failure, previous myocardial infarction, cancer, renal failure on dialysis, and hyperglycemia on admission. The ASTRAL Score includes as predictors of outcome age, severity of stroke measured with the NIHSS, stroke onset to admission time, range of visual field defect, acute glucose and level of consciousness. Variables included to calculate mSOAR were age, stroke subtype (based on clinical and neuroimaging finding), Oxfordshire Community Stroke Project classification, prestroke modified Rankin Scale, and baseline NIHSS at the time of first assessment on hospital arrival. The majority of these variables were assessed in our multivariate analyses, and some were included in our final models, although we found a prognostic role for some other acute-phase complications and interventions, such as pneumonia, hyperthermia, acute-phase heart failure and early mobilisation. Our predictors of stroke outcome are easily collected in common clinical practice, considering that the routine use of prognostic scales is often limited by their complexity or requirement of information not always available in the acute setting.[48] Accurate prediction of stroke outcome may guide physicians in treatment decision, and provide reliable information when counseling patients and their families. Our survey has strengths and limitations. Among the strengths there is the prospective design, the short duration of enrolment, without changes in existing routine clinical practice, the large sample size and the multicentre approach. Data were collected during hospital admission by a small group of trained health professionals. To increase the homogeneity of data recording, a manual was provided to each research unit, and meetings were organized to standardize procedures. Information on survival at the 6-month follow-up was available for over 95% of patients. Studies on early complications of stroke were often focused on acute phase, while data on their impact on long-term outcome are scarce. Moreover, our study evaluated the role of multiple acute-phase variables, controlling also for baseline determinants, including demographics, vascular risk factors, pre-existing comorbidities and functional status. Among limitations there is the lack of inclusion of other acute-phase variables with a possible effect on outcome, and the possible variation of case-mix among hospitals, although we believe that, by including general and university hospitals, our sample may be considered representative of current stroke care in Northern and Central Italy. In conclusion, in a prospective survey of patients hospitalised for first-ever stroke, controlling for baseline variables possibly influencing outcome, we found that stroke severity and some acute-phase complications, potentially modifiable, although not completely avoidable, significantly increased the risk of death at 6 months. Among acute-phase interventions, early mobilisation showed a positive effect on survival, adding information to the still limited evidence on the role of very early rehabilitation after stroke.

Antiplatelet therapy and early mobilisation in acute phase as predictors of 6-month mortality after stroke by NIHSS class of severity.

Cox regression analysis adjusted for demographics, pre-stroke function, baseline diseases and risk factors, and other acute-phase variables. Total sample. (DOCX) Click here for additional data file.
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Review 1.  Brain imaging in acute ischemic stroke—MRI or CT?

Authors:  Heinrich J Audebert; Jochen B Fiebach
Journal:  Curr Neurol Neurosci Rep       Date:  2015-03       Impact factor: 5.081

2.  Interobserver agreement for the assessment of handicap in stroke patients.

Authors:  J C van Swieten; P J Koudstaal; M C Visser; H J Schouten; J van Gijn
Journal:  Stroke       Date:  1988-05       Impact factor: 7.914

3.  Factors influencing in-hospital mortality and morbidity in patients treated on a stroke unit.

Authors:  Hans-Christian Koennecke; W Belz; D Berfelde; M Endres; S Fitzek; F Hamilton; P Kreitsch; B-M Mackert; D G Nabavi; C H Nolte; W Pöhls; I Schmehl; B Schmitz; M von Brevern; G Walter; P U Heuschmann
Journal:  Neurology       Date:  2011-08-24       Impact factor: 9.910

4.  One-year outcome after first-ever stroke according to stroke subtype, severity, risk factors and pre-stroke treatment. A population-based study from Tartu, Estonia.

Authors:  R Vibo; J Kõrv; M Roose
Journal:  Eur J Neurol       Date:  2007-04       Impact factor: 6.089

5.  Decompensated Heart Failure Is a Strong Independent Predictor of Functional Outcome After Ischemic Stroke.

Authors:  Jacek Burkot; Grzegorz Kopec; Joanna Pera; Agnieszka Slowik; Tomasz Dziedzic
Journal:  J Card Fail       Date:  2015-03-20       Impact factor: 5.712

Review 6.  Dysphagia after stroke: incidence, diagnosis, and pulmonary complications.

Authors:  Rosemary Martino; Norine Foley; Sanjit Bhogal; Nicholas Diamant; Mark Speechley; Robert Teasell
Journal:  Stroke       Date:  2005-11-03       Impact factor: 7.914

7.  Derivation and Validation of a Novel Prognostic Scale (Modified-Stroke Subtype, Oxfordshire Community Stroke Project Classification, Age, and Prestroke Modified Rankin) to Predict Early Mortality in Acute Stroke.

Authors:  Azmil H Abdul-Rahim; Terence J Quinn; Sarah Alder; Allan B Clark; Stanley D Musgrave; Peter Langhorne; John F Potter; Phyo Kyaw Myint
Journal:  Stroke       Date:  2015-11-17       Impact factor: 7.914

Review 8.  Acute ischaemic stroke and infection: recent and emerging concepts.

Authors:  Hedley C A Emsley; Stephen J Hopkins
Journal:  Lancet Neurol       Date:  2008-04       Impact factor: 44.182

9.  Predictors of early cardiac morbidity and mortality after ischemic stroke.

Authors:  Jane Prosser; Lachlan MacGregor; Kennedy R Lees; Hans-Christoph Diener; Werner Hacke; Stephen Davis
Journal:  Stroke       Date:  2007-06-14       Impact factor: 7.914

10.  Pneumonia and urinary tract infection after acute ischaemic stroke: a tertiary analysis of the GAIN International trial.

Authors:  S Aslanyan; C J Weir; H-C Diener; M Kaste; K R Lees
Journal:  Eur J Neurol       Date:  2004-01       Impact factor: 6.089

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1.  Survival of Stroke Patients According to Hypertension Status in Northern Ethiopia: Seven Years Retrospective Cohort Study.

Authors:  Zenawi Hagos Gufue; Naod Firdu Gizaw; Wondimu Ayele; Yared Mamushet Yifru; Nigus Alemu Hailu; Embaba Tekelaye Welesemayat; Etsay Weldekidan Tsegay; Abadi Hailay Atsbaha; Hirut Teame Gebru
Journal:  Vasc Health Risk Manag       Date:  2020-09-30

2.  The association of diabetes and hyperglycemia with sepsis outcomes: a population-based cohort analysis.

Authors:  Yarden Zohar; Shani Zilberman Itskovich; Shlomit Koren; Ronit Zaidenstein; Dror Marchaim; Ronit Koren
Journal:  Intern Emerg Med       Date:  2020-09-22       Impact factor: 3.397

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