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Background: The association between type 2 diabetes and electrocardiographic (ECG) markers are incompletely explored and the dependence on diabetes duration is largely unknown. We aimed to investigate the electrocardiographic (ECG) changes associated with type 2 diabetes over time., Methods: In this cross-sectional study, we matched people with type 2 diabetes 1:1 on sex, age, and body mass index with people without diabetes from the general population. We regressed ECG markers with the presence of diabetes and the duration of clinical diabetes, respectively, adjusted for sex, age, body mass index, smoking, heart rate, diabetes medication, renal function, hypertension, and myocardial infarction., Results: We matched 988 people with type 2 diabetes (332, 34% females) with as many controls. Heart rate was 8 bpm higher (p < 0.001) in people with vs. without type 2 diabetes, but the difference declined with increasing diabetes duration. For most depolarization markers, the difference between people with and without type 2 diabetes increased progressively with diabetes duration. On average, R-wave amplitude was 6 mm lower in lead V5 (p < 0.001), P-wave duration was 5 ms shorter (p < 0.001) and QRS duration was 3 ms (p = 0.03). Among repolarization markers, T-wave amplitude (measured in V5) was lower in patients with type 2 diabetes (1 mm lower, p < 0.001) and the QRS-T angle was 10 degrees wider (p = 0.002). We observed no association between diabetes duration and repolarization markers., Conclusions: Type 2 diabetes was independently associated with electrocardiographic depolarization and repolarization changes. Differences in depolarization markers, but not repolarization markers, increased with increasing diabetes duration., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Jonas L. Isaksen reports financial support was provided by Danish Cardiovascular Academy. Christina Ellervik reports financial support was provided by Boston Children's Hospital. Jorgen K. Kanters reports financial support was provided by Independent Research Fund Denmark. Christian B. Sivertsen reports a relationship with Novo Nordisk that includes: employment. Jorgen K. Kanters, Claus Graff has patent licensed to GE Healthcare. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Though the electrocardiogram(ECG) and plasma pro-brain-natriuretic-peptide (pro-BNP) are widely used markers of subclinical cardiac injury and can be used to predict future cardiovascular disease(CVD), they could merely be markers of the same underlying pathology. We aimed to determine if ECG changes and pro-BNP are independent predictors of CVD and if the combination improves risk prediction in persons without known heart disease., Methods: Pro-BNP and ECG were obtained on 5454 persons without known heart disease from the 4th round of the Copenhagen City Heart Study, a prospective cohort study. Median follow-up was 10.4 years. High pro-BNP was defined as above 90th percentile of age and sex adjusted levels. The end-points were all-cause mortality and the combination of admission with ischemic heart disease, heart failure or CVD death., Results: ECG changes were present in 907 persons and were associated with high levels of pro-BNP. In a fully adjusted model both high pro-BNP and ECG changes remained significant predictors: all-cause mortality(high pro-BNP, no ECG changes: HR: 1.43(1.12-1.82);P=0.005, low pro-BNP, ECG changes: HR: 1.22(1.05-1.42);P=0.009, and both high pro-BNP and ECG changes: HR: 1.99(1.54-2.59);P<0.001), CVD event(high pro-BNP, no ECG changes: HR: 1.94(1.45-2.58);P<0.001, low pro-BNP, ECG changes: HR: 1.55(1.29-1.87);P<0.001, and both high pro-BNP and ECG changes: HR: 3.86(2.94-5.08);P<0.001). Adding the combination of pro-BNP and ECG changes to a fully adjusted model correctly reclassified 33.9%(26.5-41.3);P<0.001 on the continuous net reclassification scale for all-cause mortality and 49.7%(41.1-58.4);P<0.001 for CVD event., Conclusion: Combining ECG changes and pro-BNP improves risk prediction in persons without known heart disease., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Aims. The European Society of Cardiology guidelines on diabetes and cardiovascular disease (CVD) recommend an electrocardiogram (ECG) in patients with diabetes and hypertension or with suspected CVD. We investigated whether ECG abnormalities can be used as a diagnostic and prognostic marker of heart failure (HF) in patients with type-2 diabetes (T2D) in secondary care diabetes-clinics. Methods. We included 722 patients with T2D in sinus rhythm. HF with preserved ejection fraction (HFpEF) was defined according to the European Society of Cardiology guidelines. Heart failure with mid-range ejection fraction (HFmrEF) was patients with dyspnoea and an LVEF 41–49%. Heart failure with reduced ejection fraction (HFrEF) or asymptomatic left ventricular systolic dysfunction (ALVSD) was defined as a LVEF ≤40%. Results. Overall, 24% patients had ECG abnormalities. A total of 15% had HF whereof 48% had ECG abnormalities. A normal ECG had a 99.3% negative predictive value (NPV) of ruling out HFrEF/ALVSD. In a sub-group with 0-1 simple clinical risk markers, the ECG ruled out both HFrEF/ALVSD, HFmrEF, and HFpEF with an NPV of 96.6%. The hazard-ratio (HR) of incident CVD or death in patients with HF and a normal ECG compared with patients without HF was 1.85 [95%CI 1.01–3.39], p =.05, while an abnormal ECG increased the HR to 3.84 [2.33–6.33], p <.001. Conclusion. HFrEF/ALVSD and HFmrEF were rare and HFpEF was frequent in this T2D population. A normal ECG ruled out HFrEF/ALVSD and in a sub-population with 0–1 simple clinical risk markers also both HFrEF/ALVSD, HFmrEF, and HFpEF. What is already known about this subject? In early studies of unselected patients from primary care with suspected chronic heart failure, the presence of a normal ECG was found be useful to rule out heart failure with reduced ejection fraction. What does this study add? This study confirms that a standard electrocardiogram when normal in 722 stable outpatients with type 2 diabetes can be used to rule out HFrEF/ALVSD. Further, it adds knowledge about the risk of incident cardiovascular disease or death as a pathologic electrocardiogram increases the hazard ratio. How might this implicate clinical practice? With this study clinicians in secondary diabetes care clinics can use an electrocardiogram to select patients to undergo echocardiography when suspecting heart failure with reduced ejection fraction, as a normal electrocardiogram will rule out this diagnosis with a negative predictive value of >99%. [ABSTRACT FROM AUTHOR]

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Dyspnea is a common clinical challenge in patients with type 2 diabetes and may be a sign of heart failure (HF). We sought to evaluate the predictive value dyspnea with and without an echocardiographic substrate in patients with type 2 diabetes without known heart disease. A total of 724 patients with type 2 diabetes followed at specialized clinics participated in this prospective cohort study. Clinical evaluation, comprehensive echocardiography and follow-up through national registers were performed. An echocardiographic substrate was either left ventricular hypertrophy, increased left atrial size, E/e' > 15, or LV ejection fraction<50%. The end-points were cardiovascular (CVD) events and all-cause mortality. Median follow-up was 4.8 years [Interquartile range: 4.1, 5.3] for CVD event and 77 patients suffered a CVD event. Dyspnea was significantly associated with CVD event: Hazard ratio (HR): 1.58 (95% confidence interval: 1.01–2.48), p = 0.04. Stratifying by evidence of echocardiographic substrate revealed high risk individuals: CVD event: 0.71 (0.35–1.46), p = NS in patients with dyspnea and no echocardiographic substrate and 2.85 (1.74–4.67), p < 0.001 in patients with dyspnea with echocardiographic substrate). This pattern was similar in multivariable analyses. Also, C-statistics improved from 0.66 (0.60–0.72) to 0.69 (0.63–0.75), p < 0.001 and net reclassification index was 27.5%(5.0–50.0), p = 0.01 for CVD event. The results were similar for all-cause mortality except dyspnea was only a borderline significant predictor. In patients with type 2 diabetes complaining of dyspnea, identifying an echocardiographic substrate - thus indicating patients with HF - accurately stratifies patients with increased risk of CV events and all-cause mortality. • Dyspnea is common and difficult to assess in patients with type 2 diabetes. • Dyspnea was associated with an increased risk of cardiovascular events. • An echocardiographic substrate for dyspnea identified high risk patients. • No echocardiographic substrate for dyspnea identified low risk patients. • Echocardiography is pivotal in patients with type 2 diabetes complaining of dyspnea. [ABSTRACT FROM AUTHOR]