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(Stroke. 2004;35:2094.)
© 2004 American Heart Association, Inc.
Original Contributions |
From the Cardiovascular Department (F.C., M.S.), San Filippo Neri Hospital, Rome, Italy; the I.R.C.C.S., Santa Lucia Foundation (A.B., C.C.), Rome, Italy; and the Department of Neurology (C.C.), University of Rome "Tor Vergata," Rome, Italy.
Reprint requests to Dr Carlo Caltagirone, Via Ardeatina 306, 00179 Rome, Italy. E-mail c.caltagirone{at}hsantalucia.it
| Abstract |
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Methods Holter monitoring for 24 hours was performed in 103 consecutive patients with first-ever acute ischemic stroke. Time and frequency domain measures of HRV and arrhythmias were considered in all cases.
Results Forty-nine patients (47.5%) had a right-sided infarction, whereas 54 (52.5%) had a left-sided infarction. Insular involvement was present in 33 patients with right-sided stroke (67.3%) and in 36 patients with left-sided stroke (66.6%). When compared with all other stroke patients, subjects with right-sided insular damage showed significantly lower values of the standard deviation of all normal-to-normal (SDNN) R wave to R wave (RR) intervals and of the root mean square of differences (rMSSD) of adjacent normal-to-normal RR intervals, and higher low-frequency/high-frequency ratio values (P<0.05). Right insular stroke was also associated with more complex arrhythmias than any other localization (P<0.05). Moreover, in the whole population of stroke patients, lower values of SDNN were associated with the presence of more frequent and complex arrhythmias.
Conclusions These findings further support the notion that the right insula is implicated in the autonomic control of cardiac activity and that acute right insular damage may lead to a derangement of cardiac function with potential prognostic implications.
Key Words: arrhythmia heart rate stroke, acute
| Introduction |
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The analysis of heart rate variability (HRV) is known to provide useful information about disturbances in autonomic regulation in several cardiac affections.9 Moreover, this methodology has already been used with promising results in the assessment of the autonomic imbalance associated with acute stroke.6,7,1012 However, the specific impact of acute right insular ischemic damage on both HRV and cardiac arrhythmias has not yet been fully elucidated.
This study was designed and undertaken to test the hypothesis that the involvement of the right insula in acute ischemic stroke is associated with a more relevant cardiac autonomic derangement and with a higher incidence of arrhythmias than any other stroke localization.
| Patients and Methods |
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250 000 inhabitants. On average,
60 000 patients are visited in the emergency department every year. In the prespecified selection period, 942 consecutive patients with acute stroke reported to the emergency department. Patients were included in the study only if they fulfilled all of the following criteria:
After prospective selection, 103 consecutive patients (57 men and 46 women; mean age 69.2±8.0 years) fulfilled the aforementioned reported criteria, provided informed consent, and were included in the study. Stroke severity on admission was assessed by the National Institutes of Health Stroke Scale.13
Neuroimaging studies (computed tomography or magnetic resonance imaging) were performed on admission and repeated by the end of the first week to confirm brain infarct size and localization. Insular involvement was assessed on the basis of brain imaging by an experienced neuroradiologist blinded to clinical details. The volume of each stroke was calculated from the computed tomography or magnetic resonance imaging films according to the modified ellipsoid method.14
In all cases, particular care was taken to exclude any relevant form of concomitant cardiac dysfunction. In particular, congestive heart failure, valvular dysfunction, any form of cardiomyopathy, previous acute myocardial infarction, and left ventricular hypertrophy were all preliminarily excluded on clinical and laboratory grounds.
The control group consisted of 103 healthy subjects (57 men and 46 women; mean age 67.3±8.5 years) who had no clinical manifestations of any nervous system, cardiac, pulmonary, or metabolic disease, and who were using no medications known to affect the autonomic nervous system and HRV.
All patients underwent 24-hour Holter monitoring (HM) within 72 hours from admission, whereas control subjects underwent HM during their ordinary daily activities.
HM was performed using a 3-channel bipolar recorder and was evaluated after digitization. For each recording, the following data were considered:
The mean sinus HR was derived from the mean R wave to R wave (RR) intervals (after exclusion of abnormal beats).
HRV was analyzed from the Holter recordings using commercially available software (ELA Medical Synescope version 1.0 analysis system). The beat classification was verified and corrected appropriately by an experienced cardiologist blinded to clinical details. Time domain measures of HRV, including standard deviation of all normal-to-normal (SDNN) RR intervals and root mean square of differences of adjacent normal-to-normal (rMSSD) RR intervals, were obtained by using the continuous data for 24 hours. The frequency domain analysis of HRV was performed by a fast Fourier transform of the RR intervals, which produced a power spectrum from the 0.01-Hz to 1.0-Hz unit. Three frequency domain measures of HRV, including low-frequency (LF) (range, 0.04 to 0.15 Hz), high-frequency (HF) (range, 0.15 to 0.40 Hz), and LF/HF ratio, were calculated.
SDNN, rMSSD, and the HF component of HRV correlate with respiratory rhythm and have generally been considered as measures of parasympathetic tone, whereas the LF component correlates with peripheral vasomotor activity and thermoregulation, representing both parasympathetic and sympathetic influences.15 The LF/HF ratio appears to be an accurate marker of the shifts in sympathovagal balance.15
Statistical Analysis
Means (±SD) were calculated for continuous variables, whereas frequencies were measured for categorical variables. Distributions of continuous variables were determined by the KolmogorovSmirnov test, and all were found to be nonparametric. Group differences for continuous data were than examined by KruskalWallis 1-way ANOVA, followed by the MannWhitney 2-sample test if significant differences between groups were detected. In case of categorical variables, group differences were examined by
2 or Fisher exact test as appropriate.
As the primary hypothesis of this study was that right insular damage is associated with more relevant cardiac abnormalities, planned comparisons were performed versus patients with right insular involvement and no corrections for multiple comparisons were applied. This allowed us to avoid the increase of type II error, usually associated with a conservative post-hoc approach.
Spearman correlation coefficients were used to analyze correlations between all different individual measures of HRV and number of PVC and PSVC in acute stroke patients. Multiple stepwise logistic regression analysis was used to define any possible relation between the presence of each more complex arrhythmia (VC, NSVT, and SVT), as dependent variables, in acute stroke patients, and all individual measures of HRV as predictors. All individual HRV measures were forced in the final multivariate regression model.
Data analysis was performed by using the SPSS statistical software package (SPSS 11.5). P<0.05 was considered statistically significant.
| Results |
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Patients with right insular damage did not differ from other stroke patients or from controls for age, gender prevalence, echocardiographic characteristics, and serum electrolytes (Table 1).
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Stroke severity as assessed by the National Institutes of Health Stroke Scale on admission was similar in all subgroups of patients (9.2±2.9 for right-sided infarctions with insular involvement, 8.8±2.9 for right-sided infarction without insular involvement, 9.1±2.8 for left-sided infarctions with insular involvement, and 9.0±2.7 for left-sided infarction without insular involvement; P=0.420).
The mean volume of strokes was similar in all subgroups of patients (28±30 cm3 for right-sided infarctions with insular involvement, 29±27 for right-sided infarction without insular involvement, 31±29 for left-sided infarctions with insular involvement, and 32±31 for left-sided infarction without insular involvement; P=0.370).
The mechanism of stroke was unknown in most cases (71/103 patients, 68.0%), whereas in the rest of the population (32/103 patients, 32%) stroke was caused by large-artery atherosclerosis. The mechanisms of stroke were found to be similar in all subgroups of patients (P=0.890).
Mean values of HR and of all measures of HRV in the study population are shown in Table 2. All subgroups of stroke patients showed a significant decrease of all HRV components and higher LF/HF ratio values with respect to controls. When stroke subgroups were compared, patients with right-sided infarcts including the insula showed significantly lower SDNN and rMSSD values and higher LF/HF ratio values than all other stroke patients.
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Table 3 presents the mean values of PVC and PSVC and the prevalence of VC, NSVT, and SVT in the study population. Both ventricular and supraventricular arrhythmias were found to be more frequent and complex in all subgroups of stroke patients than in controls. Also, patients with right-sided insular damage showed significantly more PVC and PSVC than patients with left-sided infarctions and a significantly higher prevalence of both NSVT and SVT than all other stroke subgroups.
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In the whole population of stroke patients, a significant negative linear correlation between SDNN and the number of PVC (r=0.597, P<0.01) and PSVC were noted (r=0417, P<0.01). A similar negative correlation between rMSSD and the number of PVC (r=0.249, P<0.05) and PSVC were also noted (r=0.218, P<0.05). Moreover, multiple stepwise logistic regression indicated that the only significant predictor of the presence of complex arrhythmias was SDNN. In particular, in stroke patients, lower values of the time domain parameter SDNN were significantly associated with the presence of VC (odds ratio [OR]=0.90; 95% CI, 0.86 to 0.96; P<0.01), of NSVT (OR=0.88; 95% CI, 0.82 to 0.95; P<0.01), and of SVT (OR=0.90; 95% CI, 0.84 to 0.96; P<0.01).
Total in-hospital mortality of stroke patients was 7.7% (8/103 patients). Three deaths were sudden and unexpected (2.9% of all stroke patients), without any preceding clinical deterioration in neurological status. In 1 case, sudden death occurred during electrocardiographic monitoring, which showed a ventricular tachycardia degenerating into ventricular fibrillation; in the remaining 2 cases, the arrhythmia preceding the event was not documented. Two patients with sudden death had a right-sided stroke with insular involvement, whereas the remaining patient had a left-sided lesion without insular damage. All patients with sudden death showed episodes of NSVT during Holter monitoring (specificity 86.0%, negative predictive value 100%, positive predictive value 17.6%, P=0.002).
| Discussion |
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This study also allowed the description of the arrhythmic profile of the acute phase of ischemic stroke in a relatively large cohort of patients without clinical and laboratory evidence of heart disease. In particular, as previously noted in smaller series,57 right-sided brain infarctions were found to be associated with more frequent arrhythmias than left-sided lesions. Furthermore, right insular damage was associated with more complex dysrhythmias, namely VC, NSVT, and SVT, than any other localization. These findings once more suggest a major role of the right insula in the pathogenesis of cerebrogenic cardiac disturbances.8
Another interesting aspect of this study is the analysis of the possible interplay between HRV abnormalities and arrhythmias in patients with acute brain infarction. To the best of our knowledge, this is the first study reporting the existence of a significant negative correlation between a specific HRV parameter, namely SDNN, and all kinds of arrhythmias in the acute phase of ischemic stroke. In fact, in our series, lower values of 24-hour SDNN were associated with a higher number of PVC and PSVC and also predicted the presence of more complex arrhythmias, such as VC, NSVT, and SVT. Actually, SDNN, which is an estimate of the overall 24-hour HRV behavior,9 is the best known, best validated, and easiest HRV index to use.16 A decrease of SDNN has been considered to reflect a diminished vagal activity directed to the heart, which may lead to a relative prevalence of sympathetic modulation and to a cardiac electrical instability.9,15,16 This interpretation is in agreement with the clinical evidence that SDNN reduction is an independent predictor of an increased arrhythmic mortality in several conditions characterized by autonomic imbalance, such as heart failure, diabetes, and coronary artery disease.9,17,18 Actually, HRV abnormalities associated with cardiac damage may be determined by a derangement of neural activity of cardiac origin. In particular, changes in the geometry of the beating heart, caused by the presence of diseased noncontracting ventricular segments, may abnormally increase the firing of sympathetic afferent fibers.9,19 This overflow of sympathetic nerve traffic may in turn attenuate vagal activity. However, in the acute stroke setting, cardiac autonomic abnormalities should have a central origin, despite being similar in terms of HRV behavior. Accordingly, acute brain and acute heart damage show the same final expression, with HRV abnormalities and arrhythmias representing a final common effect, possibly determined by a relative sympathetic prevalence on the sinus node and on the myocardium.
In this study,
3% of all stroke patients died suddenly and unexpectedly. This finding is in accordance with previous studies reporting an incidence of sudden death in the course of acute stroke ranging from 2% to 6%.20 Even if the small number of cases precludes a sound analysis of clinical features possibly predicting the occurrence of such an ominous event, in this study a significant association was found between the presence of NSVT and the subsequent sudden death. Actually, NSVT has already proven effective for the risk stratification of sudden death in various cardiac conditions.21 In our series, the presence of NSVT was predicted by lower SDNN values, whereas the arrhythmia was more prevalent in patients with right-sided insular lesions. Both of these findings add evidence to the belief that the autonomic imbalance determined by cerebral ischemic damage could have a role in the pathophysiology of sudden death in the course of acute brain infarction.
The results of this investigation are challenged by evidence emerging from a recently published post-hoc analysis of the NASCET database.22 In fact, the investigators of the NASCET trial reported that in their cohort of patients with transient ischemic attack or minor stroke, the incidence of sudden death during a 5-year follow-up period was increased in subjects with left-sided lesions, rather than in those with right-sided infarctions. This finding seems at odds with the data from our study, as well as with the evidence collected over the past 10 years concerning the potential role of right hemispheric ischemic damage in the pathogenesis of cardiac autonomic disturbances and, thus, of sudden death.8 However, the data from the NASCET trial refer to the chronic phase of the atherosclerotic cerebrovascular disease and were collected in a heterogeneous group of patients with a high prevalence of concurrent cardiac affections and diabetes mellitus (25% of the patients had angina, 20% had had a previous myocardial infarction, 65% had hypertension, and 25% had diabetes). Differently, our study focused on patients with acute first-ever stroke and without pre-existing cardiac disease, while considering only the acute phase of the cerebrovascular event. Actually, sudden death is a complex event requiring the presence of several concurrent factors, such as an arrhythmic trigger, an anatomic substrate, and a significant autonomic imbalance.23 Thus, in our opinion, the sudden arrhythmic death associated with acute stroke is probably a catastrophe in which the autonomic derangement has a prominent role, whereas sudden unexpected deaths occurring in the long-term poststroke course are more likely related to coronary artery disease and its clinical expressions.
Limitations of the Study
The size of the study population was based on the availability of consecutive patients with specific clinical and laboratory features in a reasonably long time frame rather than on statistical considerations. We recognize this point as a limitation of our study.
| Conclusions |
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| Acknowledgments |
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Received June 3, 2004; accepted June 21, 2004.
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