Silent brain infarction in the presence of systemic vascular disease

Abstract

Objective

To determine the prevalence of asymptomatic brain ischaemic in the presence of vascular disease in other arterial territories.

Design

Studies up to January 2011 were identified through comprehensive search strategies. Arcsine transformation for metaanalysis was used to calculate the standardized mean difference (SMD) and 95% confidence intervals (CI).

Setting

A systematic review and meta-analysis were performed.

Participants

For each study, the proportion of patients positive for SBI in the presence of other systemic vascular disease was extracted and analyzed.

Main outcome measures

Using a random-effects model, a pooled effect estimate interpreted as a percentage prevalence of disease was calculated.

Results

SBI in the presence of acute ischaemic stroke was found in 23% (SMD 0.99; P < 0.001; 95% CI 0.88-1.10); a 35% prevalence was found in patients with coronary artery disease (SMD 1.26; P < 0.001; 95% CI 0.95-1.58); and a 14% prevalence in patients with peripheral artery disease (SMD 0.48; P< 0.002; 95% CI 0.42-0.54), although the data-set in the latter is smaller.

Conclusions

Patients with systemic vascular disease are at an increased risk of silent brain infarction.

DECLARATIONS

Competing interests

PS, as the Editor of

JRSM

Cardiovascular Disease, was not involved in the review process of this manuscript or the final decision

Funding

JS was funded in part by the Hammersmith Hospitals Research Fund

Ethical approval

Not required

Guarantor

PS

Contributorship JS undertook the search and analysis and wrote the first draft. PS conceived the idea, oversaw the analysis and reviewed the manuscript. PB analysed the data and reviewed the manuscript. All authors contributed to the final version of the manuscript

Introduction

The presence of silent brain infarction (SBI) is known to more than double the risk of subsequent stroke and dementia.^1,2 Screening and treating high-risk patients could reduce such future risk. ³

If reliable quantification of prevalence of SBI in other vascular diseases can be established, then appropriate assessment and perhaps more aggressive therapeutic treatments could be initiated to reduce the incidence of stroke and dementia in this high-risk population

We sought to perform three comprehensive meta-analyses of SBI in the presence of acute ischaemic stroke, coronary artery disease (CAD) and peripheral artery disease (PAD), representative of the threemajor beds for vascular disease to identify the prevalence of SBI in order to better determine the associated risk of future vascular events.

Methods

Data sources

Studies up to and including 1 January 2011 were identified through searches in PubMed, Google Scholar, Embase and MEDLINE. The following search terms were used: ‘silent brain infarction in stroke’, ‘asymptomatic stroke and cerebral infarction’ and ‘silent cerebral infarction in stroke’ with and/or as Boolean operators. Further searches were performed looking specifically at terms linking SBI with other vascular disease locations, such as ‘silent brain infarction in peripheral vascular disease’, ‘silent brain infarction in coronary artery disease’ and ‘silent brain infarction in vascular disease’. The retrieved studies were examined to assess their appropriateness for inclusion. The references of all identified publications were manually reviewed for additional studies and the PubMed ‘relevant articles’ function was used. Table 1 provides details on the studies used including author, date, study title and mean age.

Table 1

Silent brain infarction in acute ischaemic stroke, CAD and PAD

Disease	Study	Study title	N	Mean age (range), years	SBI %
AIS	Boon et al. (1994) 16	Silent brain infarction in 755 consecutive patients with first-ever supratentorial ischemic stroke. Relationships with index-stroke subtype, vascular risk factors and mortality	755	71	27
	Brainin et al. (1995) 13	Silent brain infarcts and transient ischemic attacks: a three-year study of first-ever ischemic stroke patients: the Klosterneuburg stroke data bank	728	68±10	11
	Chodosh et al. (1988)17	Silent stroke in the NINCDS stroke data bank	1203	69.1	11
	Corea et al. (2001)18	Silent infarcts in stroke patients: patient characteristics and effect on 2-year outcome	202	70.05	25.7
	Corea et al. (2002)19	Brain CT scan in acute stroke patients: silent infarcts and relation to outcome	191	76	37.8
	Coutts et al. (2005)20	Silent ischemia in minor stroke and TIA patients identified on MR imaging	143	-	9.8
	Davis et al. (1996)21	Silent cerebral infarction in patients enrolled in the TOAST study	629	65	22.7
	Giele et al. (2004)9	Silent brain infarcts in patients with manifest vascular disease	308	58	17
	Herderschee et al. (1992)22	Silent stroke in patients with TIA or minor ischemic stroke	2329		13
	Jorgensen et al. (1994)14	Silent infarction in acute stroke patients: prevalence, localization, risk factors and clinical significance: the Copenhagen Stroke Study	322	73 ± 12	32.5
	Kang et al. (2006)23	Silent ischemic lesion recurrence on MRI predicts subsequent clinical vascular events	104	-	33.7
	Kase et al. (1989)24	Prevalence of silent stroke in patients presenting with initial stroke: the Framingham Study	124	46	10
	Liebetrau et al. (2004)25	Silent and symptomatic infarcts on cranial computerized tomography in relation to dementia and mortality: a population-based study in 85-year-old subjects	239	All 85	8.6
	Minn et al. (2005)6	Significance of silent infarcts in acute ischaemic stroke patients aged 80 years or older	50	≥80	76
	Oh et al. (2010)26	The prevalence and risk factor analysis of silent brain infarcts in patients with first-ever stroke	395	63.8	33.4
	Ong et al. (2009)10	Impact of silent infarction on the outcome of stroke patients	226	68±13	20
	Ricci et al. (1993)27	Silent brain infarction in patients with first-ever stroke. A community based study in Umbria, Italy	209	71	38.3
	Vermeer et al. (2002)11	Prevalence and risk factors of silent brain infarcts in the population-based Rotterdam Scan Study	1077	75	24
	Vermeer et al. (2003)2	Silent brain infarcts and white matter lesions increase stroke risks in the general population: the Rotterdam Scan Study	668	71 ± 7	14
CAD	Geerlings et al. (2010)28	Brain volumes and cerebrovascular lesions on MRI in patients with atherosclerotic disease. The SMART study	1044	58 ± 10 years	10
	Giele et al. (2004)9	Silent brain infarcts in patients with manifest vascular disease	308	18-79	17
	Hara et al. (1994)7	Silent cerebral infarction associated with coronary artery disease	50	-	80
	Hoshide et al. (2001)29	Different patterns of silent cerebral infarct in patients with coronary artery disease or hypertension	107	62	46
	Kozdag et al. (2008)30	Silent cerebral infarction in chronic heart failure: ischemic and nonischemic dilated cardiomyopathy	72	50-74	39
	Nadareishvili et al. (1999)31	Cerebral microembolism in acute myocardial Infarction	112	68 ± 11 years	15
	Ozeren et al. (1998)32	Silent cerebral lesions on MRI in subjects with CAD	72		43
	Pardo et al. (1998)33	Silent brain infarctions in patients with coronary artery disease. A Spanish population survey	100	34-82	30
	Selvetella et al. (2003)34	Left ventricular hypertrophy is associated with asymptomatic cerebral damage in hypertensive patients	195	67 ± 1 years	55
	Siachos et al. (2005)35	Silent strokes in patients with heart failure	117	51	34
	Uekita et al. (2003)36	Cervical and intercranial atherosclerosis and silent brain infarction in Japanese patients with CAD	133	-	58
PAD	Geerlings et al. (2010)28	Brain volumes and cerebrovascular lesions on MRI in patients with atherosclerotic disease. The SMART study	1044	58±10 years	5
	Giele et al. (2004)9	Silent brain infarcts in patients with manifest vascular disease	58	18-79	21

TIA, transient ischaemic attack; NINCDS, National Institute of Neurological and Communicative Disorders and Stroke; CT, computed tomography; SBI, silent brain infarction; CAD, coronary artery disease; PAD, peripheral artery disease; AIS, acute ischaemic stroke; TOAST, Trial of Org 10172 in Acute Stroke Treatment; MRI, magnetic resonance imaging; SMART, Second Manifestation of ARTerial disease study; SMART-MR, Second Manifestation of ARTerial disease in Magnetic Resonance

Search strategy and selection criteria

Studies were included if they were based on populations which included patients with symptomatic ischaemic stroke, PAD and ischaemic heart disease. SBI lesions were recorded in some studies and defined in size between 3 and 5 mm in diameter.

The cardiac studies used a variety of techniques to identify CAD such as electrocardiogram, single-photon emission computed tomography, troponin, echocardiogram and scintography. Studies using only troponin as a measure of CAD were excluded from the analysis.

Study Selection

Study selection was performed independently by two reviewers and disagreements were resolved by consensus and by the opinion of a third reviewer when necessary. Inclusion criteria included: (1) studies in populations of acute ischaemic stroke, CAD and PAD; (2) studies where the presence of SBI was measured using computed tomography (CT) and/or magnetic resonance imaging (MRI); and (3) subjects were >18 years of age. Exclusion criteria included: (1) subjects were <18 years age; (2) studies that focused on populations with no history of any vascular disease; and (3) studies where cases of stroke had a background of metabolic disease or other non-vascular origin. Figure 1 shows the prism statement and search strategy for the systematic review and identifies the pathway to study identification for the meta-analysis in all three arms.

Figure 1

Search strategy flow chart - silent brain infarction (SBI) in acute ischaemic stroke (AIS), carotid artery disease (CAD) and peripheral artery disease (PAD)

Data extraction and analysis

Data for analysis were extracted from each study by two reviewers, results compared and for each study a pooled odds ratio (OR) and 95% confidence interval (CI) was calculated using a random-effects analysis model. ⁴ The strength of risk of SBI versus no risk of SBI was considered statistically significant with an OR >1 and a P value of <0.05. For each meta-analysis, an I ² test for heterogeneity was performed, with significance set at P < 0.05. ⁵

A one-sided arcsine transformation was used for the meta-analyses. ⁵ For each study, the proportion of patients who were positive for asymptomatic SBI from the total population of patients was recorded. The standardized mean difference (SMD) and standard error for each proportion were then calculated and the results combined using the generic inverse variance approach in Review Manager version 5.1.1 (The Nordic Cochrane Centre, Copenhagan, Denmark). Pooled data were first analysed with a fixed-effects model, and if heterogeneity was detected by T ² tests for heterogeneity, including visual inspection of forest plots, a random-effects model was used. This produced an SMD with 95% CI for each study and a pooled effect size for all studies with 95% CI that was weighted to the size of the individual studies. The concluding result for the prevalence of SBI in patients with symptomatic vascular disease was interpreted as a percentage.

Results

We identified 635 relevant studies in SBI in stroke, 579 in SBI in CAD and 50 in SBI in PAD. Reference lists were searched of relevant studies, and papers containing extractable data were selected, resulting in a total of 19 studies for SBI in ischaemic stroke, 11 for SBI in CAD and 2 for SBI in PAD. Table 1 provides study information of sample size and mean age for the individual populations studied.

SBI in the presence of acute ischaemic stroke

Our initial search produced 10,487 potential studies. Most studies were excluded because they were not population-specific, there was no measurement of SBI or it was measured in a nonvascular population. Of the relevant 635 studies, 19 met our inclusion criteria.

Figure 2 shows a relative risk of SBI in the presence of acute ischaemic stroke of 23% with an SMD of 0.99 (95% CI 0.88-1.10). There is significant heterogeneity of the population due to the small study sample size (n = 50) by Minn et al. ⁶ However, following iterative analysis excluding this study, the results were broadly similar.

Figure 2

Silent brain infarction (SBI) in the presence of acute ischaemic stroke

SBI in the presence of CAD

The initial search produced 15,579 potential studies, of which 579 were reviewed and eventually 11 studies were analysed. Figure 3 demonstrates a 35% prevalence of SBI in patients with CAD with an SMD of 1.26 (95% CI 0.95-1.58). There was significant heterogeneity in the population (P = 0.00001) due to the small sample size in the study (n = 50) by Hara et al. ⁷ but an iterative analysis deleting this study showed similar overall results.

Figure 3

Silent brain infarction (SBI) in the presence of coronary artery disease

SBI in the presence of PAD

The initial search identified 162 potential studies, of which 12 were reviewed but finally only two met our inclusion criteria. Pooled results show a 14% (SMD 0.48; 95% CI 0.42-0.54) prevalence of SBI in the presence of PAD (Figure 4). The two studies, however, had significantly different sample sizes, n = 1044 and 58, respectively.

Figure 4

Silent brain infarction (SBI) in the presence of peripheral artery disease

Discussion

SBI is an independent risk factor for stroke, stroke recurrence ⁸ and dementia independent of any other vascular risk factors.^1,2 Our three independent meta-analyses have quantified the prevalence of risk for SBI in each of the major vascular diseases, with the greatest risk occurring in CAD, followed by a previous cerebral ischaemic event. It is not surprising that SBI risk also occurs with PAD, but quantifying that risk is more difficult as the number of studies was small by comparison with the other vascular beds.

Several studies have examined the incidence of SBI and its relation to risk factors for stroke,^1,2 with an increased two- to three-fold risk in the presence of SBI on MRI in elderly populations. Risk factors for SBI are considered to be comparable to those for stroke; therefore, cardiovascular patients may also be at high risk of silent infarcts with similar risk factors such as ageing, carotid artery stenosis, hypertension, diabetes mellitus and retinal artery stenosis. Age and hypertension are independently and strongly associated with SBI^2,9,10 and Vermeer et al. ² identified absolute risk of stroke within four years at 11.7% for participants with SBI compared with 2.3% for those without SBI.

SBI is thought to be associated with a higher mortality, although results have varied, ¹⁰ with the Rotterdam Scan Study ¹¹ finding a prevalence of 20% of SBI in a normal, healthy population aged between 60 and 90 years. The prevalence was strongly affected by age ⁹ and increased from 8% in the participants aged 60-64 years to 35% in the oldest group (85-90 years). The Framing-ham Offspring cohort was investigated for SBI with no history of stroke or transient ischaemic attack and 10.7% had at least one SBI which were largely located in the basal ganglia (52%). ¹² Furthermore, patients with vascular disease are at risk of SBI at a younger age, ⁹ and intervention thresholds may need to be reduced for commencing therapeutic regimens for the prevention of stroke in these high-risk populations.

The prognosis of stroke and its outcome does not appear to be influenced by the presence of SBI.^13,14 However, the risk of stroke for people with one or more silent infarcts is increased by 2-10-fold,^1,9 therefore influencing the prevalence of stroke in an ageing population. However, screening for SBI in the presence of other vascular diseases may not be appropriate for both cost and patient wellbeing.

As with any meta-analysis, a number of limitations need to be considered. Firstly, there was variation in the mode of imaging for demonstrating brain infarction with some studies using CT (55%) and others using MRI (45%). The latter is well-known to be more sensitive and it is therefore likely that our study is underestimating the relative risk in view of the 55% of studies using CT The presence of CAD was inconsistently defined across the included criteria. To counter this, we used hard point criteria which involved at least two positive test results to ensure a secure diagnosis. Also, the data on PAD are very small. In practical terms, it may not be useful to screen elderly patients using brain imaging to identify the presence of SBI; however, SBI may explain certain subtle physical and cognitive decline in patients with multiple vascular disease and this knowledge would be helpful in the management of those patients. Finally, while considerable effort was made in our search strategy to identify all relevant papers regardless of size and outcome to reduce publication bias, this cannot be ever completely eliminated.

It is suggested that physicians need to approach all manifestations of atherothrombotic vascular disease whether clinically symptomatic or silent as one pathological entity that intermittently affects different vascular territories. ¹⁵ Our work adds support to the need for a global and more aggressive approach to vascular disease management.

SBI is prevalent following involvement of atherosclerosis in systemic vascular beds. Often unnoticed and untreated, this condition may account for undetected cognitive and functional decline as well as unexpected ischaemic stroke.