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Spectrum of cardiac abnormalities associated with long QT in stroke survivors
  1. K Y K Wong1,
  2. S McSwiggan1,
  3. N S J Kennedy2,
  4. S Y S Wong3,
  5. A Gavin1,
  6. R S MacWalter1,
  7. A D Struthers1
  1. 1University of Dundee Division of Medicine and Therapeutics, Dundee, UK
  2. 2Department of Nuclear Medicine, Ninewells Hospital and Medical School, Dundee, UK
  3. 3Hypertension Research Centre, Ninewells Hospital and Medical School
  1. Correspondence to:
    Dr Kenneth Wong
    Cardiothoracic Centre-Liverpool NHS Trust, Thomas Drive, Liverpool L14 3PE, UK;


Objectives: To find out what spectrum of cardiac abnormalities are found in those stroke survivors who can be deemed to be at high cardiac risk by their having long QT.

Methods: 202 patients with good recovery from a cerebrovascular event occurring at least one month previously were recruited into a prospective epidemiological study. These stroke survivors underwent a battery of cardiac investigations including 12 lead ECG, echocardiography, myocardial perfusion scanning, and heart rate variability assessment. The ECGs were digitised by a single observer blinded to the blood pressure and other investigations of the patients. The maximum heart rate corrected QT interval (QTc max) in the 12 lead ECG was derived by Bazett’s formula.

Results: Prolonged QTc max significantly correlated with increasing blood pressure, left ventricular mass index, and depressed heart rate variability. As the number of cardiac abnormalities increased, QTc max became more prolonged.

Conclusions: Long QT is significantly associated with left ventricular mass index even after adjustment for both systolic and diastolic blood pressures. Long QT was also associated with the total cardiac disease burden. These two observations may explain why stroke survivors with long QTc max were at greater risk of cardiac death.

  • BSA, body surface area
  • HOPE, heart outcomes prevention evaluation
  • HRV, heart rate variability
  • IVSd, interventricular septal thickness in end diastole
  • LIFE, losartan intervention for end point reduction in hypertension
  • LVH, left ventricular hypertrophy
  • LVIDd, end diastolic left ventricular internal dimension
  • LVMI, left ventricular mass index
  • PROGRESS, perindopril protection against recurrent stroke study
  • PWTd, posterior wall thickness in end diastole
  • QTc max, maximum heart rate corrected QT interval
  • SDNN, standard deviation of normal to normal RR intervals
  • UK-HEART, UK-heart failure evaluation and assessment of risk trial
  • stroke
  • QT interval
  • left ventricular hypertrophy
  • heart rate variability
  • total cardiac disease burden

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After surviving a stroke, more people die of cardiac causes than of a recurrent stroke. QT prolongation was recently shown to predict cardiac death in stroke survivors.1 Similar findings have been seen in many other populations. This raises the question of why QT prolongation predicts cardiac death. Two possibilities arise although they are not necessarily exclusive of each other. Firstly, QT prolongation may be a marker of treatable, hidden but potentially lethal cardiac abnormalities, such as ischaemia or left ventricular abnormalities. Secondly, QT prolongation may be a marker of arrhythmogenicity, irrespective of ischaemia or left ventricular abnormalities.

The main objective of this prospective study was to test the hypothesis that maximum heart rate corrected QT interval (QTc max) prolongation is a convenient marker of treatable, hidden cardiac abnormalities in stroke survivors. If so, this may contribute strongly to its adverse prognostic significance.


Two hundred and two patients with good recovery after a recently documented stroke or transient ischaemic attack occurring at least one month previously were studied. A random sample of the stroke outpatient clinic was recruited and this comprised 70% who had been hospitalised within 72 hours after their acute cerebrovascular event plus 30% who had community strokes. Patients who had atrial fibrillation or flutter, bigeminy, paced rhythm, or bundle branch block on their ECG were excluded from QT interval analysis. (These ECG changes make the QT interval difficult to measure reliably.) Other exclusion criteria were inability to provide consent, for example, because of dementia; age greater than 90 years; and being under nursing home-type care.

The study was approved by the Tayside committee on medical research ethics. All participants gave informed consent to the study. The procedures followed were in accordance with institutional guidelines. The study also had administration of radioactive substances advisory committee approval for myocardial perfusion scanning.

A focused history and examination were undertaken for all the patients, noting in particular any common risk factors of cerebrovascular disease and ischaemic heart disease.

The patients then underwent thorough cardiac investigations including resting ECG, echocardiography, stress myocardial perfusion study, and ambulatory ECG monitoring.

Resting ECG

Resting supine 12 lead ECGs (Marquette Medical Systems, Milwaukee, Wisconsin, USA) were recorded at 20 mm/mV and 25 mm/s.

ECGs were analysed by one investigator who was blinded to other investigation findings, including patients’ blood pressure. QT intervals were analysed by digitising the ECGs. The technique of digitising ECGs we used was first described in 1994.2 The QT interval was defined as the time between the onset of the QRS complex and the end of the T wave (when the T wave returned to the isoelectric line). If the T wave was followed by a U wave then the nadir between the T and the U wave (that is, the lowest point of the curve) was taken as the point where the T wave ended. QTc was defined as the QT interval divided by the square root of the RR interval (Bazett’s formula). The QTc max was defined as the maximum QTc measured from a 12 lead ECG.


Transthoracic echocardiography was performed with the Hewlett Packard SONOS 2000 phased array imaging system (Andover, Massachusetts, USA).

Left ventricular mass index estimations

Interventricular septal thickness in end diastole (IVSd), end diastolic left ventricular internal dimension (LVIDd), and left ventricular posterior wall thickness in end diastole (PWTd) were measured from M mode measurements obtained at the level of the papillary muscles from parasternal views.3 Left ventricular mass index (LVMI) was calculated with the American Society of Echocardiography guidelines and measurements were made from leading edge to leading edge, as follows: LVMI =  (0.83×[(LVIDd+PWTd+IVSd)3−(LVIDd)3] −0.6 g)/BSA, where BSA is body surface area in square metres, calculated as 0.0001×71.84×weight(kg)0.425×height (cm)0.725.

Left ventricular hypertrophy (LVH) was defined as LVMI ⩾ 134 g/m2 in men and ⩾ 110 g/m2 in women.

Assessment of LV systolic function

The method of discs volume calculation was based on area traces of the left ventricle from the apical four chamber view.

Stress myocardial perfusion study for myocardial ischaemia

Myocardial perfusion studies were carried out with dipyridamole. Dipyridamole was slowly infused at 0.56 mg/kg over about four minutes. This was followed by simple arm exercise for around two minutes. The patient was then injected with 400 MBq of 99m-technetium tetrofosmin (Amersham Health, Little Chalfont, Buckinghamshire, UK). The stress scan was carried out 45 minutes after injection with a dual head Philips Axis gamma camera (Philips Medical Systems) fitted with high resolution collimators. If the stress scan was abnormal, images obtained after an injection at rest (about one week later) were used to differentiate between infarction and ischaemia.

The scans were ranked as normal or abnormal by an experienced observer (NSJK) blinded to the QT data. In addition to the qualitative assessment, the scans were assessed quantitatively. Each scan was scored out of 64 by dividing the heart into 16 regions (four apical, three anterior, three lateral, three inferior, and three septal) and giving each region a score out of 4, indicating the degree of perfusion. The inducible ischaemia score was defined as the difference between the score obtained from the stress scan and that of the rest scan (that is, rest scan score minus stress scan score). An inducible ischaemia score ⩾ 3 was regarded as evidence of significant inducible myocardial ischaemia.

Patients were excluded from this part of the study if they had moderate to severe asthma or severe chronic obstructive pulmonary disease and were taking theophylline medication.

Ambulatory ECG monitoring

Twenty four hour ambulatory ECGs were recorded (upgraded Reynolds Pathfinder 700 series, Reynolds Medical Limited, Hertford, UK) for assessment of heart rate variability (HRV). Information was collected on the time domain parameters from the whole 24 hour tapes with methods recommended by the European Society of Cardiology and the North American Society of Pacing and Electrophysiology in 1996.4 Patients with atrial fibrillation or paroxysmal atrial fibrillation during the 24 hour ECG monitoring were excluded from HRV analysis.

Statistical analysis

SPSS (SPSS Inc, Chicago, Illinois, USA) was used for statistical analyses. Univariate analysis of variance and Spearman non-parametric tests were used to test the relation between long QT (QTc max) and various cardiac abnormalities.


Patient characteristics

Two hundred and two stroke survivors were recruited. The mean (SD) age of the cohort of stroke survivors was 66 (9.4) years (range 30–84 years). Their mean (SD) resting clinic blood pressure was 145/80 (21.2/11.0) mm Hg (range 82/48 to 220/125 mm Hg). There were 122 male patients (60.4%). Mean (SD) weight was 79 (15.8) kg and 12.2% had diabetes. Their mean (SD) total cholesterol was 4.92 mmol/l and mean (SD) high density lipoprotein cholesterol was 1.33 (0.41) mmol/l. At the time of the study 22.8% were smokers and 50.5% were former smokers. Of strokes for which there was computed tomography or magnetic resonance imaging evidence, 82% were infarcts and 18% were bleeds. Thirty six per cent of patients had transient ischaemic attacks. Mean (SD) QTc max was 440 (29) ms. The range of QTc max in our cohort was 377 ms to 530 ms. Ninety two per cent of patients were not taking drugs that would prolong the QT interval. Nine per cent of patients had potassium < 3.5 mmol/l and 38% of patients were taking diuretics at the time of the study.

QTc max and blood pressure

QTc max was weakly albeit highly significantly correlated with both systolic (Spearman r  =  0.3, two tailed p < 0.001) and diastolic blood pressures (Spearman r  =  0.2, two tailed p  =  0.007).

QTc max and LVH

Twenty six per cent (37 of 141) of patients had LVH (fig 1). QTc max was significantly correlated with LVMI (Spearman r  =  0.3, two tailed p  =  0.002). Importantly, the relation between QTc max and LVMI was still significant (univariate analysis of variance p  =  0.023) after adjustment for both systolic and diastolic blood pressures.

Figure 1

 Relation between echocardiographic left ventricular hypertrophy (LVH) and maximum heart rate corrected QT interval (QTc max).

QTc max and left ventricular function

A trend was noted whereby lower ejection fractions (derived from the apical four chamber view by the method of discs) were associated with higher QTc max. The trend was not significant (Spearman r  =  −0.14, two tailed p  =  0.087).

QTc max and myocardial ischaemia

In our study, 28% (43 of 151) of patients had significant inducible ischaemia. QTc max was not correlated with inducible myocardial ischaemia or findings on stress or rest scans (Spearman two tailed p  =  0.4, p  =  0.4, and p  =  0.8, respectively). QTc max was not significantly related to smoking (univariate analysis of variance p  =  0.75), diabetes (p  =  0.59), or total cholesterol (p  =  0.17).

QTc max and HRV

Time domain data

One hundred and eighty two patients had 24 hour ECG for analysis of HRV (time domain analysis). In our study we analysed a mean of 93% (median 97%) of qualified sinus beats; 176 patients had > 70% analysed. This compared favourably with the minimum number required for data analysis in published studies (70–99%).5

Abnormally low HRV as indexed by a standard deviation of normal to normal RR intervals (SDNN) < 100 ms was found in 20% of our patients. Stroke survivors with QTc max > 460 ms had a significantly higher chance of having depressed HRV as indexed by SDNN < 100 ms (Mantel-Haenszel common odds ratio 2.5, two tailed p  =  0.025). Only patients with adequate time domain data (> 70% analysed) were included in the odds ratio calculation (fig 2).

Figure 2

 Relation between QTc max and abnormal heart rate variability (as indexed by moderately depressed standard deviation of normal to normal RR intervals (SDNN) <100 ms).

QTc max had significant negative correlations with all the time domain variables that reflected overall HRV (SDNN and 24 hour HRV triangular index), as well as long term components of HRV (standard deviation of the means of all filtered RR intervals for all five minute epochs of the analysed time period) (table 1). The residuals for QTc max were all normally distributed (one sample Kolmogorov-Smirnov test two tailed p > 0.05).

Table 1

 Relation between maximum heart rate corrected QT interval (QTc max) and heart rate variability (HRV)

QRS duration and cardiac abnormalities

By way of contrast, QRS duration was not correlated with LVMI, systolic blood pressure, or SDNN (tables 2 and 3).

Table 2

 Spearman correlation between QTc max and cardiac abnormalities

Table 3

 Spearman correlation between QRS duration and cardiac abnormalities

Spectrum of cardiac abnormalities associated with prolonged QTc max

Prolonged QTc max was thus associated with echocardiographic LVH and depressed HRV as indexed by SDNN < 100 ms. Naturally one would expect that if a patient had both LVH and depressed HRV then QTc max would be even more prolonged. To test this hypothesis, we plotted the number of cardiac abnormalities (out of LVH and depressed HRV) against QTc max (fig 3) Thus, a patient with no LVH and good HRV had a mean QTc max of 432 ms (95% confidence interval (CI) 425 to 438 ms) compared with a mean of 449 ms (95% CI 440 to 457 ms) in patients with one abnormality (either depressed HRV or LVH) and 463 ms (95% CI 443 to 483 ms) in patients with both abnormalities (univariate analysis of variance p < 0.001).

Figure 3

 Error plot showing the relation between QTc max and the number of cardiac abnormalities.


Main findings of the study

We have shown that prolongation of QTc max was associated with increased blood pressure, LVMI, and reduced HRV. Interestingly, as the number of these cardiac abnormalities increased QTc max became more prolonged. Thus, QTc max appeared to reflect the cardiac disease burden.

In a previous observational study,1 a weak albeit significant relation was found between QTc max and some conventional risk factors of atherosclerosis such as pulse pressure, glucose, and cholesterol. However, in that study QTc max was still significantly associated with increased risk of cardiac death and total death even after adjustment for the above risk factors and for a history of symptomatic ischaemic heart disease, coronary bypass grafts, or nitrate use. The increased risk of cardiac death may be explained at least in part by the findings of the present prospective study.

Clinical implications

QTc max prolongation was associated with increased risk of cardiac death.1 This may be due to the prolongation of QTc max as the number of cardiac abnormalities increased. However, it should be noted that this was not an enormous effect. In addition to well known genes that can influence QT in long QT syndromes, milder versions of these polymorphisms may interact with acquired heart disease to produce very long QT. This may be why the correlations of QT with cardiac diseases or cardiac disease burden in the study are relatively weak. Nevertheless, it can be argued that those with prolonged QTc max now deserve more vigorous cardiac investigations to look for LVH and possibly for reduced HRV. This is because treatment and regression of LVH are so effective at reducing risk.

In current clinical practice, LVH is used as an indication for treatment in patients with mild hypertension even in the absence of other coronary risk factors. Importantly, LVH not only predicts death but is also reversible.6 In essential hypertension, a reduction in left ventricular mass during treatment is a favourable prognostic marker that predicts a lower risk for subsequent cardiovascular morbid events.7 This is consistent with evidence from the Framingham study, which suggests that when LVH regresses the prognosis improves.8 Indeed, if LVH regresses fully the risk appears to return to that of someone without LVH at all. To fully regress LVH, a lower target blood pressure ought to be achieved. In light of the recent LIFE (losartan intervention for end point reduction in hypertension) study, it may be argued that stroke survivors with LVH should be offered losartan.9 However, the risk reduction in LIFE and HOPE (heart outcomes prevention evaluation) was 14–25%, whereas LVH increases total risk by a factor of 2–4 times, which means that there is more room for improvement in LVH than simply using some form of angiotensin withdrawal treatment.10,11 Thus, detecting unsuspected LVH in stroke survivors may be worthwhile, since they may benefit from lower target blood pressures (as well as angiotensin withdrawal treatment, which is now standard in stroke survivors due to the PROGRESS (perindopril protection against recurrent stroke study) trial12). Indeed a recent economic analysis of ours shows that such a strategy should be very cost effective, although more data are required to prove this.13

Data are accumulating to suggest that depressed HRV is a poor prognostic indicator. SDNN < 100 ms indicates moderately depressed HRV. In the UK-HEART (UK-heart failure evaluation and assessment of risk trial), SDNN > 100 ms indicated a good prognosis for patients with congestive heart failure.14 In the present study, stroke survivors with prolonged QTc max had a significantly higher chance of having depressed HRV as indexed by SDNN < 100 ms. Further, recent evidence suggests that β blockers and spironolactone can improve HRV.15–17 However, it should be noted that the cohorts of patients studied in the three papers quoted above had heart failure. In the present study, the lower the SDNN, the higher was the stroke survivor’s heart rate (Spearman r  =  −0.49, two tailed p < 0.001). Further work is required to test the hypothesis that β blockers and spironolactone can improve HRV in stroke survivors who do not have heart failure.

A further clinical implication of detecting low HRV or LVH is that non-pharmacological approaches such as physical activity should be particularly encouraged for these stroke survivors. Physical activity not only can potentially increase HRV but also has been shown to attenuate the effect of increased left ventricular mass on the risk of ischaemic stroke.18


Long QTc max correlated independently with increased blood pressure, LVMI, and reduced HRV. Further, the greater the number of these cardiac abnormalities, the more prolonged was the QTc max. Thus, acquired cardiac disease may contribute to the link between a long QT and cardiac death in stroke survivors.

Patients with long QT should, therefore, in addition to having their blood pressure and electrolytes carefully monitored and corrected, be considered for echocardiography to detect treatable LVH. Future work should now concentrate on whether such a strategy of actively investigating stroke survivors with long QT would lead not only to earlier detection and treatment of LVH but also to reduction of their QT interval and, more important, to reduction in their risk of cardiac death. Studies in other similar populations (hypertensive LVH) suggest that such a strategy may well reduce future cardiac events, which are unfortunately particularly high among stroke survivors.


The study was supported by the British Heart Foundation.



  • Conflict of interest: none