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Departments of1 Epidemiology and Biostatistics2 Internal Medicine3 Medical Informatics, Erasmus Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands4 The Inspectorate for Health Care, PO Box 16119, 2500 BC, The Hague, The Netherlands5 The Dutch Medicines Evaluation Board, PO Box 16229, 2500 BE, The Hague, The Netherlands
(Correspondence should be addressed to B H Ch Stricker at Department of Epidemiology and Biostatistics, Erasmus Medical Center; Email: b.stricker{at}erasmusmc.nl)
| Abstract |
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| Introduction |
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Because of these contradictory results and limited data concerning hyperthyroidism and the duration of the QTc interval, we studied the association of thyrotropin (TSH) and free thyroxine (T4) with the QTc interval in a prospective, population-based study of elderly.
| Materials and Methods |
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The Rotterdam study is a population-based cohort study, which started with a baseline visit between 1990 and 1993. The Medical Ethics Committee of the Erasmus Medical Center, Rotterdam, the Netherlands, approved the study. All inhabitants of Ommoord, a suburb of Rotterdam, aged 55 years and over, were invited to participate (n=10 275). Of them, 7983 (78%) gave their written informed consent and took part in the baseline examination (Rotterdam Study). Objectives and methods of the Rotterdam Study have been described in detail elsewhere (Hofman et al. 1991, 2007). At baseline, all the participants were visited at home for a standardized questionnaire, and 7151 were subsequently examined at the research center. The cohort is continuously being monitored for major morbidity and mortality through linkage of the Rotterdam Study database with general practitioner and municipality records.
Study population
Thyroid status was assessed in a random selection of 2000 participants from the Rotterdam Study at baseline, as has been described previously (Kalmijn et al. 2000). After exclusion of subjects for whom no blood was available or who used amiodarone at baseline (due to the effects of this drug on thyroid function) (Harjai & Licata 1997), TSH was assessed in 1843 participants. Due to technical and logistical reasons, free T4 could only be assessed in 1544 of these participants. Electrocardiograms (ECGs) were available for 1126 of these participants at the time of the first visit.
We excluded participants with clinical hypothyroidism (TSH>4.3 mU/l and free T4<11 pmol/l) or subclinical hypothyroidism (TSH>4.3 mU/l and free T4
11 pmol/l; n=72), since hypothyroidism is associated with QTc prolongation (Sarma et al. 1990, Fazio et al. 1992). Furthermore, we excluded participants with ECG evidence of left ventricular hypertrophy (n=44), left and right bundle branch block (n=17 and 30 respectively) and/or participants using digoxin (n=21), antithyroid drugs (n=6), and thyroid hormones (n=11), since these conditions can alter the QTc interval (Kulan et al. 1998, Piotrowicz et al. 2007). Consequently, the study population consisted of 939 participants (Fig. 1).
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At baseline, non-fasting serum samples were obtained, which were put on ice directly and processed within 30 min after which they were kept frozen at –20 °C. TSH levels were measured with TSH Lumitest (Henning, Berlin, Germany; Trantow et al. 1994). The reference range of serum TSH levels was 0.4–4.3 mU/l. Serum-free T4 was measured by a chemoluminescence assay (Vitros, ECI Immunodiagnostic System, Ortho-Clinical Diagnostics, Amersham, UK), the reference range of serum-free T4 levels was 11–25 pmol/l. Participants with TSH levels lower than 0.4 mU/l and free T4 levels higher than 25 pmol/l were considered to have clinical hyperthyroidism, and participants with TSH levels lower than 0.4 mU/l and free T4 levels between 11 and 25 pmol/l were considered to have subclinical hyperthyroidism.
QTc prolongation
A 12-lead resting ECG was recorded with an ACTA electrocardiograph (ESAOTE, Florence, Italy) at a sampling frequency of 500 Hz and stored digitally. The ECGs and serum samples were obtained on the same day. All ECGs were processed by the modular ECG analysis system (MEANS) to obtain ECG measurements. The MEANS program has been evaluated extensively and has been validated (Willems et al. 1987, 1991, van Bemmel et al. 1990, de Bruyne et al. 1997). In one of these validation studies, ECGs with selected abnormalities were analyzed by 5 cardiologists and 11 different computer programs of which MEANS performed as one of the best (Willems et al. 1987) In another validation study in which QT intervals by manual measurement were compared with those generated by ECG machines, manual and automated measurements generated similar numerical results in three studies in healthy volunteers, which all included a positive control (Darpo et al. 2006). MEANS determines common onsets and offsets for all 12 leads together on one representative averaged beat, with the use of template matching techniques (van Bemmel et al. 1990). The MEANS program determines the QT interval from the start of the QRS complex until the end of the T wave. To adjust for heart rate, Bazett's formula (QTc=QT/
RR) was used (Bazett 1920). European regulatory guidelines were used to categorize the QTc interval into three categories: normal, borderline, and prolonged. For men, the cut-off points were <430 ms (normal), 430–450 ms (borderline), and >450 ms (prolonged), and for women <450 ms (normal), 450–470 ms (borderline), and >470 ms (prolonged) (CPMP/986/96 1997). The missing ECGs were mainly due to temporary technical problems with ECG recording. The index date was the date of the ECG at baseline and at the same date, blood samples were collected.
Covariates
Diabetes mellitus, hypertension, myocardial infarction, and heart failure are considered to be risk factors for QTc prolongation and the presence of these conditions at each index date was included as a covariate (Davey et al. 2000, Brown et al. 2001, Gaudron et al. 2001, Passino et al. 2004). Clinical measures were obtained during the visits at the Rotterdam Study research center. Diabetes mellitus and hypertension were defined according to the World Health Organization (WHO Diabetes mellitus 1985, WHO 1999) criteria. The prevalence of myocardial infarction was assessed by hospital discharge diagnosis or in case a patient was not hospitalized, when signs and symptoms were reports, analysis of the standard 12-lead ECG and cardiac enzyme data were diagnostic of a myocardial infarction (Bots et al. 1997, Vliegenthart et al. 2002). The prevalence of heart failure was assessed by the presence of suggestive signs and symptoms as described previously (Mosterd et al. 1999, Bleumink et al. 2004).
Statistical analysis
Two analyses were conducted. First, a linear regression analysis was conducted with QTc as outcome and thyroid status (TSH and free T4 levels divided in quintiles) as determinants. Secondly, logistic regression analysis was conducted to assess the risk of a borderline QTc interval or QTc prolongation. All analyses were adjusted for age and gender and additionally for diabetes mellitus, myocardial infarction, hypertension, and heart failure. In a separate analysis, we have examined the association between TSH and QTc prolongation using log TSH, since TSH is logarithmically distributed.
Because women in general have a longer QTc interval than men, a separate analysis was conducted with stratification for gender. In a separate analysis, we also adjusted for potassium, calcium, and the use of class 1 QTc-prolonging drugs of list 1 of the website-based registry (http:www.qtdrugs.org/medicalpros/drug-lists.htm) at the index date, since these drugs are generally accepted to have a risk of causing Torsade de Pointes. Furthermore, we have performed a sensitivity analysis by excluding participants with clinical or subclinical hyperthyroidism.
All analyses were performed using SPSS for Windows version 11.0 (Chicago, IL, USA).
| Results |
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The baseline characteristics of the participants are presented in Table 1. Overall, 939 participants were included, of whom 574 were females and 365 were males. The mean age of the study population at baseline was 68.0 years (S.D.=7.6 years). Women were significantly older than men. Mean TSH at baseline was 1.60 mU/l (S.D.=0.90), mean free T4 was 16.5 pmol/l (S.D.=3.0). Ten participants had clinical hyperthyroidism and 49 participants had subclinical hyperthyroidism.
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The mean duration of the QTc interval at baseline was significantly shorter in males (424.0 ms) than in females (432.9 ms; P<0.0001). Overall, 73.6% of the participants had normal QTc duration and 20.4% had a borderline QTc interval, using the above-mentioned gender-specific cut-off points. Furthermore, 56 participants had QTc prolongation, with mean QTc levels of 473.7 ms.
Overall, there was no significant association between TSH and QTc interval with a decrease of 0.6 ms (95% CI –2.1, 0.9) per mU/l. The first quintile of TSH was not associated with an increase in the QTc interval (0.8 ms (95% CI –3.5, 5.2)) compared with the fifth quintile. This effect fluctuated among the other quintiles. TSH was not associated with the risk of borderline QTc interval or QTc prolongation (Table 2). Additional analyses using log TSH did not change the results.
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After stratification by gender, the effects were significant in men but not in women (Table 3). The fifth quintile of free T4 was associated with a significant age-adjusted increase in the QTc interval of 10.9 ms (95% CI 3.4, 18.3) in men, with a significant linear trend (P=0.004). The fifth quintile of free T4 was associated with a significantly increased risk of a borderline QTc interval in men (OR 2.40 (95% CI 1.20, 4.80) with a gradual increase (P value for linear trend was 0.003). In women, there was a non-significant trend towards a longer QTc interval in the highest quintiles of free T4.
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Exclusion of the 59 participants with clinical or subclinical hyperthyroidism did not change the results substantially. The highest quintile of free T4 in males was associated with a significant adjusted increase in the QTc interval of 9.7 ms (95% CI 2.1, 17.2) with a gradual increase (P value for linear trend was 0.008). The fifth quintile of free T4 in males was associated with a significantly higher risk of a borderline QTc interval or QTc prolongation (OR 2.12 (95% CI 1.02, 4.40)) compared with the first quintile. The P value for linear trend was 0.009.
| Discussion |
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10 ms in the highest quintile. Even after exclusion of participants with hyperthyroidism, free T4 levels are still associated with prolongation of the QTc interval. We did not find an association between TSH and QTc interval. A potential explanation for this finding is that an association between TSH and QTc would be indirect, while free T4 is more directly related to thyroid hormone action on the heart. TSH binds to the TSH receptor on thyroid cells, resulting in stimulation of thyroid hormone production but has probably not an effect on QTc of its own (Volpe 1997). Thyroid hormone may affect ventricular repolarization but the literature differs with respect to the direction of this alteration. Hypothyroidism has been associated with prolongation of the QTc interval (Sarma et al. 1990, Fazio et al. 1992). The mechanism behind this association might be an enhanced sympathetic activity (Colzani et al. 2001). Hyperthyroidism has been found to be associated with decreased as well as increased repolarization times. In animal studies (Johnson et al. 1973, Sharp et al. 1985, Binah et al. 1987, Gomberg-Maitland & Frishman 1998) and in one human study (Dorr et al. 2006), decreased repolarization times have been found, however, in several small human studies (Linder 1955, Fisher 1982, Colzani et al. 2001, Owecki et al. 2006) and in an animal study (Johansson et al. 2002), QTc prolongation has been reported. In a prospective study comparing 16 patients with Graves' disease with a matched reference group, the 24-h average QTc in the Graves' patients was significantly prolonged and returned to normal after treatment of thyrotoxicosis. QTc has also been shown to be positively correlated with free tri-iodothyronine (T3) and free T4 (Colzani et al. 2001).
A prospective study comparing patients with subclinical hyperthyroidism with healthy individuals, demonstrated that QTc intervals were significantly longer in patients with subclinical hyperthyroidism (Owecki et al. 2006). This prolongation might have clinical consequences since we demonstrated in earlier studies that QTc prolongation was associated with a threefold increased risk of sudden cardiac death (Straus et al. 2006). It is assumed, that even a minor average increase in the QTc interval in a population may enhance the risk of Torsade de Pointes in a small group of susceptible patients, if large numbers of patients are exposed. Some QTc-prolonging drugs, which were withdrawn from the market because of Torsade de Pointes, were associated with a QTc interval prolongation of only 5–10 ms in patient populations (Roden 2004).
A possible explanation for the association of hyperthyroidism and QTc prolongation can be provided by an increase in the activity of cardiac Na+/K+ ATPase due to thyroid hormone excess, leading to increased intracellular K+ with subsequent membrane hyperpolarization (Polikar et al. 1993, Colzani et al. 2001). The effect appeared to be strongest in men. Women are known to have on average a longer QTc interval than men (CPMP/986/96 1997). The shorter QTc interval in men is attributed to the role of testosterone on the duration of the action potential, mainly due to enhancement of slowly activating delayed rectifier K+ currents and suppression of L-type Ca2+ currents (Bai et al. 2005). In cardiomyocytes, sex hormone receptors influence the activity of cardiac Na+/K+ ATPase. In hyperthyroid men, impaired sexual function, gynecomastia, asthenospermia, and low testicular volume are attributed to lowered bioavailable testosterone and a decreased free androgen index despite an increase in total and SHBG-bound testosterone (Abalovich et al. 1999, Zahringer et al. 2000). The decreased bioavailable testosterone level in hyperthyroid men results in less shortening of the QTc interval. Bioavailable testosterone decreases with age, and this could explain the relative QTc prolongation in men with high free T4 levels in this study of an elderly population (Gray et al. 1991, Ferrini & Barrett-Connor 1998). Therefore, the difference in the QTc interval between male and female disappears in males with high free T4 levels.
Our study has several strengths. An advantage of the Rotterdam Study is its population-based character that decreases the risk of selection bias. The baseline characteristics of our subcohort were comparable with those of the whole population of the Rotterdam Study. Furthermore, the use of digital ECG recordings all measured using the MEANS system likely reduced intra- and interobserver variabilities in the assessment of the QTc interval. Confounding was minimized by adjusting for all known risk factors for QTc prolongation, although we cannot exclude the possibility of unknown confounders. However, our study has also some limitations. Because of the cross-sectional design, we cannot exclude that QTc prolongation was already present in some patients before the increase in free T4. Therefore, the results from this study should be confirmed with longitudinal data from other large cohorts. Thyroid status was only assessed in a subgroup of the entire cohort of the Rotterdam Study. Validity is nevertheless unaffected since the selection was at random. Free T3 measurements are not available in the Rotterdam Study, however, since T4 is a prohormone of T3 and T3 exhibits greater activity, we expect that the results might have been more pronounced, if we would have used free T3 as exposure. Finally, our study population consisted of participants aged 55 years and older, whether our findings can be generalized to other age groups requires further study.
In conclusion, we demonstrated in this cohort of an elderly population, that high levels of free T4 are associated with QTc prolongation in men. Although a QTc interval prolongation of 10 ms in one individual usually remains without clinical consequences, an average shift of 10 ms in a Gaussian distribution on a population level will inevitably push more individuals into the upper percentiles of the QTc interval with its increased risk of Torsade de Pointes and sudden cardiac death.
| Declaration of Interest |
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| Funding |
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Received in final form 2 May 2008
Accepted 7 May 2008
Made available online as an Accepted Preprint 7 May 2008
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