Literature DB >> 30379259

Silent Cerebral Infarctions with Reduced, Mid-Range and Preserved Ejection Fraction in Patients with Heart Failure.

Márcia Maria Carneiro Oliveira1, Elieusa E Silva Sampaio1, Jun Ramos Kawaoka2, Maria Amélia Bulhões Hatem3, Edmundo José Nassri Câmara4, André Maurício Souza Fernandes5, Jamary Oliveira-Filho3, Roque Aras6.   

Abstract

Heart failure predisposes to an increased risk of silent cerebral infarction, and data related to left ventricular ejection fraction are still limited. Our objective was to describe the clinical and echocardiographic characteristics and factors associated with silent cerebral infarction in patients with heart failure, according to the left ventricular ejection fraction groups. A prospective cohort was performed at a referral hospital in Cardiology between December 2015 and July 2017. The left ventricular ejection fraction groups were: reduced (≤ 40%), mid-range (41-49%) and preserved (≥ 50%). All patients underwent cranial tomography, transthoracic and transesophageal echocardiography. Seventy-five patients were studied. Silent cerebral infarction was observed in 14.7% of the study population (45.5% lacunar and 54.5% territorial) and was more frequent in patients in the reduced left ventricular ejection fraction group (29%) compared with the mid-range one (15.4%, p = 0.005). There were no cases of silent cerebral infarction in the group of preserved left ventricular ejection fraction. In the univariate analysis, an association was identified between silent cerebral infarction and reduced (OR = 8.59; 95%CI: 1.71 - 43.27; p = 0.009) and preserved (OR = 0.05; 95%CI: 0.003-0.817, p = 0.003) left ventricular ejection fraction and diabetes mellitus (OR = 4.28, 95%CI: 1.14-16.15, p = 0.031). In patients with heart failure and without a clinical diagnosis of stroke, reduced and mid-range left ventricular ejection fractions contributed to the occurrence of territorial and lacunar silent cerebral infarction, respectively. The lower the left ventricular ejection fraction, the higher the prevalence of silent cerebral infarction.

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Year:  2018        PMID: 30379259      PMCID: PMC6173340          DOI: 10.5935/abc.20180140

Source DB:  PubMed          Journal:  Arq Bras Cardiol        ISSN: 0066-782X            Impact factor:   2.000


Introduction

Heart failure (HF) predisposes to an increased risk of cerebral abnormalities, including silent cerebral infarction, which is defined by the presence of infarctions (territorial or lacunar) in the brain parenchyma, verified through imaging methods, without a documented previous episode of stroke.[1,2] The independent risk factors associated with silent stroke in HF are usually due to the impairment of left ventricular function, restrictive diastolic filling patterns in echocardiography, left atrial (LA) spontaneous echo contrast, and complex or calcified atherosclerotic aortic lesions.[3-5] Ischemic stroke is a common complication of HF regardless of the Preserved (pLVEF) or reduced (rLVEF) Left Ventricular Ejection Fraction (LVEF).[5] LVEF predicts the risk of cerebral infarctions, especially with rLVEF. It is believed that reduced blood flow may favor the formation of spontaneous echo contrast, intracavitary thrombi and consequent cardioembolic events.[6] However, data explaining the stroke mechanism in HF in patients with LVEF are still limited,[7] and data related to stroke and mid-range LVEF are scarce. The objective of this study was to describe the clinical and echocardiographic characteristics and factors associated with silent cerebral infarction in patients with HF according to the LVEF groups.

Methods

This is a prospective cohort performed at a referral hospital for the care of patients with HF in the city of Salvador, state of Bahia, Brazil, between December 2015 and July 2017. The diagnosis of HF was made according to the recommendations of the European Society of Cardiology (ESC),[8] with patients who had signs and symptoms of HF, relevant structural heart disease (left ventricle (LV) body mass index ≥ 115 g in men and ≥ 95 g in women, or left atrial dilatation ≥ 40 mm) and or diastolic abnormality (E/A ratio < 0.75 or ≥ 1.5, or E-wave deceleration time < 140 ms). The LVEF groups were characterized as follows: rLVEF (≤ 40%), mid-range LVEF (mrLVEF; 41-49%) and pLVEF (≥ 50%).[9] The diagnosis of Atrial Fibrillation (AF) was based on information available in medical records and the electrocardiogram.

Assessment of cranial tomography

The cranial tomography was performed in all the patients to identify infarctions in the brain parenchyma (territorial or lacunar). The reports were analyzed by a neurologist, blinded to the patients' clinical data. These examinations were performed using a 1385 Toshiba Medical Systems Corporation device, (Shimo Ishigami, Otawara-Shi, Tochigi, Japan).

Evaluation of transthoracic and transesophageal echocardiography

The examinations were performed by two experienced echocardiographists, as recommended by the American Society of Echocardiography (ASE).[10] A commercially available device was used (Philips IE33, Philips Medical Systems, Andover, MA, USA), equipped with a 5 MHZ transducer with a multiplanar transesophageal probe. Subsequently, the images were recorded in a pen drive and reviewed by an echocardiographist. The measures analyzed by the Transthoracic Echocardiogram (TTE) were: diastolic and systolic diameter of the LV, anteroposterior diameter of the LA, aortic root diameter, interventricular septum and posterior wall thickness. These analyses were obtained in the parasternal short axis and the parasternal long axis planes using the M-mode. The calculation of the LVEF was carried out using the LV modified biplane Simpson's method. To perform the Transesophageal Echocardiography (TEE) images, the patient was placed in the left lateral decubitus position, and the left arm was extended over the head. The exams were performed under topical anesthesia with xylocaine spray at 10% and under intravenous sedation. The presence of spontaneous echo contrast and intracavitary thrombi were observed. The intracavitary thrombus was defined as an echodense intracardiac mass, and the spontaneous echo contrast was identified through its typical swirling movement, resembling smoke.[11]

Statistical analysis

The collected data were processed using the Statistical Program for Social Sciences (SPSS), version 21.0. For data analysis, descriptive statistics were used (proportions and measures of central tendency), mean and standard deviation. The Kolmogorov-Smirnov was used in the normality test. The means and proportions were evaluated by Student's t test, according to the variable distribution. Pearson's chi-square test or Fisher's exact test was applied for association measures. Values were considered statistically significant when p ≤ 0.05 and the confidence interval ≥ 95%.

Results

Seventy-five patients were studied. Comparisons of clinical and echocardiographic parameters are described in Table 1. The mean LVEF was 46 ± 16.5%. Spontaneous echo contrast and intracavitary thrombi were observed in the rLVEF group (19.3%), followed by mrLVEF (15.3%) and pLVEF (9.6%). Silent cerebral infarction was observed in 14.7% of the study population (45.5% lacunar and 54.5% territorial) and was detected more frequently in patients in the rLVEF group (29%), when compared to mrLVEF (15.4%, p = 0.005). There were no cases of silent cerebral infarction in the pLVEF group. In the univariate analysis, an association was identified between silent cerebral infarction and rLVEF (Odds Ratio - OR = 8.59, 95% of Confidence Interval - 95%CI: 1.71-43.27, p = 0.009) and pLVEF (OR = 0.05, 95%CI: 0.003-0.817, p = 0.003). There was no association with mrLVEF (OR = 1.07, 95%CI: 0.20-5.65, p = 0.936). The association of silent cerebral infarction with diabetes mellitus (OR 4.28; 95%CI: 1.14-16.15; p = 0.031) was also identified.
Table 1

Comparison of clinical and echocardiographic parameters between the groups of patients with heart failure with and without silent cerebral infarction

ParametersPopulation n = 75Silent cerebral infarctionsp value*
Yes (n = 11)No (n = 64)
Age, years)61.8 ± 10.662.5 ± 9.161.7 ± 10.90.817
Male gender42 (56)9 (81.8)33 (51.6)0.062
Arterial hypertension60 (80)8 (72.7)52 (81.3)0.514
Diabetes Mellitus20 (26.7)6 (54.5)14 (21.9)0.024
Ischemic heart disease47 (62.7)9 (81.8)38 (59.4)0.155
Permanent AF13 (17.3)3 (27.3)10 (15.6)0.346
NYHA class =     
   I20 (26.7)2 (18.2)18 (28.1)0.491
   II41 (54.7)7 (63.6)34 (53.1)0.518
   III14 (18.7)2 (18.2)12 (18.8)0.964
HF etiology     
   Idiopathic33 (44)3 (27.3)30 (46.9)0.226
   Chagasic27 (36)5 (45.5)22 (34.4)0.479
   Ischemic10 (13.3)2 (18.2)8 (12.5)0.609
   Hypertensive3 (4)1 (9.1)2 (3.1)0.351
   Valvar1 (1.3)-1(6.9)0.676
Rheumatic1 (1.3)-1 (1.6)0.676
LVEF subgroups     
   Reduced (≤ 40%)31 (41.3)9 (81.8)22 (34.4)0.003
   Mid-range (41-49%)13 (17.3)2 (18.2)11 (17.2)0.936
   Preserved (≥ 50%)31 (41.3)0 (0)31 (48.4) 
Echocardiographic data     
   LA diameter, mm43.9 ± 8.946.2 ± 10.642.9 ± 8.50.264
   LV dilatation31 (41.3)8 (72.7)23 (35.9)0.022
Intracavitary thrombi/ spontaneous echo contrast     
   Intracavitary thrombi / spontaneous echogenic contrast in LA9 (12.1)1 (9.1)8 (12.5)0.552
   Intracavitary thrombi / spontaneous echo contrast in LAA2 (2.6)1 (9.1)1 (1.6)0.351
Medications     
   Aspirin41 (54.7)6 (54.5)35 (54.7)0.993
   Warfarin13 (17.3)1 (9.1)12 (18.8)0.434
   NOAC6 (8)2 (18.2)4 (6.3)0.178

Results expressed as mean ± standard deviation or n (%).

Student’s t test for categorical variables and Pearson’s chi-square for continuous variables. AF: arterial fibrillation; NYHA: New York Heart Association; HF: heart failure; LVEF: left ventricular ejection fraction; LA: left atrium; LV: left ventricle; LAA: left atrial appendage; NOAC: new oral anticoagulants.

Comparison of clinical and echocardiographic parameters between the groups of patients with heart failure with and without silent cerebral infarction Results expressed as mean ± standard deviation or n (%). Student’s t test for categorical variables and Pearson’s chi-square for continuous variables. AF: arterial fibrillation; NYHA: New York Heart Association; HF: heart failure; LVEF: left ventricular ejection fraction; LA: left atrium; LV: left ventricle; LAA: left atrial appendage; NOAC: new oral anticoagulants.

Discussion

In our study, patients with rLVEF had silent cerebral infarction in the territory region, and those with mrLVEF had silent cerebral infarction of the lacunar type. There was no silent cerebral infarction in patients with pLVEF. It was demonstrated that the lower the LVEF, the higher the prevalence of silent cerebral infarction. A previous study showed that reduced LVEF values are associated with patients with silent stroke (p = 0.030).[12] The prevalence of silent cerebral infarction in this study was considered small when compared to other studies of HF patients. In a study of 117 patients with HF evaluated for heart transplant, the prevalence of ischemic stroke was 34%.[13] In the study by Kozdag et al.,[12] with 72 patients with ischemic dilated cardiomyopathy, the prevalence of silent cerebral infarction was 39%. However, it is worth mentioning that the high prevalence of silent infarctions in these studies was probably the result of increased HF severity in the studied populations. Another important finding was the association between diabetes mellitus and silent cerebral infarction. Chen et al.[14] found that abnormalities in early LV diastolic filling were commonly observed in diabetic patients, and the proposed mechanism includes, among other factors, microvascular disease, which may justify the data found in our study. In the case of patients with mrLVEF, silent cerebral infarctions were reported to be of the lacunar type, usually associated with cerebral small vessel disease, but eventually of embolic etiology.[15] A recent study clearly demonstrated that the clinical characteristics of mrLVEF are intermediate between pLVEF and rLVEF, or close to pLVEF or rLVEF, and suggest that mrLVEF is a transitional stage from pLVEF to rLVEF, or from rLVEF to pLVEF, rather than a distinct HF class.[16] However, data are still limited regarding these patients. Patients in the LVEFp group did not show silent cerebral infarction, differently from a study on LVEF groups, in which the rates of stroke or transient ischemic attack were slightly higher in patients with pLVEF vs. patients with rLVEF and mrLVEF. It is worth mentioning that AF was more common in these patients with pLVEF, although the AF was associated with an increased risk of stroke or transient ischemic attack, regardless of LVEF status.[17]

Conclusion

In patients with heart failure and without a clinical diagnosis of stroke, the reduced and mid-range left ventricular ejection fractions contributed to the occurrence of territorial and lacunar silent cerebral infarction, respectively. In cases of preserved left ventricular ejection fraction, there was no prevalence of silent cerebral infarction; reduced left ventricular ejection fraction and diabetes mellitus were associated with embolic cerebral infarction, and the lower the left ventricular ejection fraction, the higher the prevalence of silent cerebral infarction. Further studies are required to elucidate the mechanisms of silent cerebral infarction in the left ventricular ejection fraction groups.

Limitations

The study was carried out in a single center, with a small sample and there were no analyses of intra- and interobserver variability between the echocardiographists.
  15 in total

1.  Atrial Fibrillation in Heart Failure With Preserved, Mid-Range, and Reduced Ejection Fraction.

Authors:  Ulrik Sartipy; Ulf Dahlström; Michael Fu; Lars H Lund
Journal:  JACC Heart Fail       Date:  2017-07-12       Impact factor: 12.035

Review 2.  Silent brain infarcts: a review of MRI diagnostic criteria.

Authors:  Yi-Cheng Zhu; Carole Dufouil; Christophe Tzourio; Hugues Chabriat
Journal:  Stroke       Date:  2011-03-10       Impact factor: 7.914

3.  2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC.

Authors:  Piotr Ponikowski; Adriaan A Voors; Stefan D Anker; Héctor Bueno; John G F Cleland; Andrew J S Coats; Volkmar Falk; José Ramón González-Juanatey; Veli-Pekka Harjola; Ewa A Jankowska; Mariell Jessup; Cecilia Linde; Petros Nihoyannopoulos; John T Parissis; Burkert Pieske; Jillian P Riley; Giuseppe M C Rosano; Luis M Ruilope; Frank Ruschitzka; Frans H Rutten; Peter van der Meer
Journal:  Eur J Heart Fail       Date:  2016-05-20       Impact factor: 15.534

4.  Diffusion-weighted imaging identifies a subset of lacunar infarction associated with embolic source.

Authors:  H Ay; J Oliveira-Filho; F S Buonanno; M Ezzeddine; P W Schaefer; G Rordorf; L H Schwamm; R G Gonzalez; W J Koroshetz
Journal:  Stroke       Date:  1999-12       Impact factor: 7.914

5.  ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC.

Authors:  John J V McMurray; Stamatis Adamopoulos; Stefan D Anker; Angelo Auricchio; Michael Böhm; Kenneth Dickstein; Volkmar Falk; Gerasimos Filippatos; Cândida Fonseca; Miguel Angel Gomez-Sanchez; Tiny Jaarsma; Lars Køber; Gregory Y H Lip; Aldo Pietro Maggioni; Alexander Parkhomenko; Burkert M Pieske; Bogdan A Popescu; Per K Rønnevik; Frans H Rutten; Juerg Schwitter; Petar Seferovic; Janina Stepinska; Pedro T Trindade; Adriaan A Voors; Faiez Zannad; Andreas Zeiher
Journal:  Eur Heart J       Date:  2012-05-19       Impact factor: 29.983

Review 6.  Silent cerebral infarcts associated with cardiac disease and procedures.

Authors:  Mariëlla E C Hassell; Robin Nijveldt; Yvo B W Roos; Charles B L Majoie; Martial Hamon; Jan J Piek; Ronak Delewi
Journal:  Nat Rev Cardiol       Date:  2013-10-29       Impact factor: 32.419

Review 7.  Diabetes and Stroke: Epidemiology, Pathophysiology, Pharmaceuticals and Outcomes.

Authors:  Rong Chen; Bruce Ovbiagele; Wuwei Feng
Journal:  Am J Med Sci       Date:  2016-04       Impact factor: 2.378

8.  Ischemic stroke and heart failure: facts and numbers.

Authors:  Nadja Scherbakov; Karl Georg Haeusler; Wolfram Doehner
Journal:  ESC Heart Fail       Date:  2015-03-30

Review 9.  Heart Failure as a Risk Factor for Stroke.

Authors:  Woohyeun Kim; Eung Ju Kim
Journal:  J Stroke       Date:  2018-01-31       Impact factor: 6.967

10.  Silent cerebral infarction in chronic heart failure: ischemic and nonischemic dilated cardiomyopathy.

Authors:  Guliz Kozdag; Ercument Ciftci; Dilek Ural; Tayfun Sahin; Macit Selekler; Aysen Agacdiken; Ali Demirci; Sezer Komsuoglu; Baki Komsuoglu
Journal:  Vasc Health Risk Manag       Date:  2008
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2.  Prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: A systematic review, meta-analysis, and meta-regression.

Authors:  Sean Tan; Clare Elisabeth Si Min Ho; Yao Neng Teo; Yao Hao Teo; Mark Yan-Yee Chan; Chi-Hang Lee; Lauren Kay Mance Evangelista; Weiqin Lin; Yao-Feng Chong; Tiong-Cheng Yeo; Vijay Kumar Sharma; Raymond C C Wong; Benjamin Y Q Tan; Leonard L L Yeo; Ping Chai; Ching-Hui Sia
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