Value of pathologic Q wave in surface electrocardiography in the prediction of myocardial nonviability: A cardiac magnetic resonance imaging-based study

[Acute heart failure with altered ejection fraction : Electrocardiographic signs with mortality at the Abidjan cardiology institute]

INTRODUCTION

Heart failure with impaired ejection fraction (HFIEF) represents the end-stage of most cardiac diseases, and is responsible for a high mortality rate. In order to identify patients at risk, numerous clinical and paraclinical prognostic factors have been proposed. The electrocardiogram (ECG), easy to perform and inexpensive, retains a powerful role in the prognostic evaluation of heart failure patients. The aim was to evaluate ECG signs associated with mortality in a retrospective cohort of patients with ICFEA.

METHODOLOGY

The study was observational and analytical based on retrospective data collected from patients benefiting from a primary hospitalization for ICFEA at the Abidjan Heart Institute from January 2018 to July 2020.

RESULTS

Of the 370 patients included, 197 had died by August 1, 2020, representing an overall mortality of 53%. Mortality progressed gradually up to one year, then remained unchanged up to 30 months. In multivariate Cox regression including ECG variables only, the presence of intra-ventricular conduction disorders (OR: 1.80; 95% CI [1.01-3.25]), microvoltage (OR: 1.82; 95% CI [1.05-16]), and pathological Q waves (OR: 1.70; 95% CI [1.02-2.83]), were significantly associated with overall mortality. When ECG variables and clinical, paraclinical and therapeutic demographic variables were included, only the presence of pathological Q waves (OR:1.74; 95% CI [1.01-3.01]) persisted as a risk factor for mortality. Hypertension and treatment of heart failure, in particular ACEI/ARII, beta-blockers and ARM, were protective factors. The presence of Q waves was associated with a significant reduction in survival, based on curves obtained using the Kaplan-Meier model.

CONCLUSION

ICFEA is responsible for high mortality, mainly in the year following the 1st hospitalization for cardiac decompensation. The presence of pathological Q waves is the only electrocardiographic sign that remains statistically associated with a poor prognosis, after adjustment.

Exploring vectorcardiography: An extensive vectocardiogram analysis across age, sex, BMI, and cardiac conditions

BACKGROUND

The vectocardiogram (VCG) offers a three-dimensional view of the heart's electrical activity, yet many VCG parameters remain unexplored in diverse clinical contexts.

OBJECTIVES

This study aims to explore the relationships between various VCG parameters and specific patient characteristics.

METHODS

ECG signals from adults were transformed into VCGs utilizing the Kors matrix, yielding 315 parameters per patient from the P, QRS and T loops. Univariable analysis, circular statistics, and stepwise logistic regression were employed to examine the relationships between VCG parameters and factors such as age, sex, BMI, hypertension, echocardiographic ischemic heart disease (Echo-IHD), and left ventricular hypertrophy (Echo-LVH).

RESULTS

We included 664 adults and considered an alpha value of 0.05 and a power of 90%. The study revealed significant associations, such as age with P loop roundness index (RI) (OR = 3.825, 95% confidence interval [95%CI] = 2.079-7.04), male sex with QRS loop RI (OR = 6.08, 95%CI = 1.835-20.153), abnormal BMI with the T loop's RI (OR = 0.544, 95%CI = 0.325-0.909), hypertension with the T loop planarity index (PI) (OR = 8.01, 95%CI = 2.134-30.117), Echo-IHD with QRS loop curvature at the 4/10th segment (OR = 7.58, 95%CI = 1.954-29.458), and Echo-LVH with the T loop lag-1/10 dihedral angle (OR = 10.3, 95%CI = 1.822-58.101). In the study, several additional VCG parameters demonstrated statistically significant, albeit smaller, associations with patient demographics and cardiovascular conditions.

CONCLUSIONS

The findings enhance our understanding of the intricate relationships between VCG parameters and patient characteristics, emphasizing the potential role of VCG analysis in assessing cardiovascular diseases. These insights may guide future research and clinical applications in cardiology.

Predictive factors for type A aortic dissection mortality based on electrocardiogram parameters and clinical presentations

BACKGROUND

Aortic dissection is a rare but potentially lethal disorder and may be associated with electrocardiogram (ECG) changes. In this study, we aim to investigate ECG-related parameters alongside clinical presentations of type A aortic dissection to come up with the predictive factors for the severity of the disease and its mortality rate.

METHODS

In this retrospective study, 201 patients with type A aortic dissection were studied between March 2015 and March 2020. Two expert cardiologists blinded to the diagnosis studied former and new patients' ECGs and recorded changes.

RESULTS

Two-hundred and one patients, including 143 (71.1%) men and 58 (28.9%) women, presented with acute dissection of the aorta, were studied. Forty-four (21.8%) and 84 (41.7%) patients had ST-segment elevation and depression in ECG, respectively. Bivariate analysis revealed that higher heart rate (p = 0.006), longer QTc (p = 0.044), and ST-segment elevation in aVR lead (p = 0.044) were associated with mortality in the patients. Multivariate regression showed higher heart rate (OR = 1.022, CI = 1.003-1.041, p = 0.012) and ST-segment elevation in aVR (OR = 4.854, CI = 2.255-10.477, p < 0.001) were independently associated with increased odds of mortality in aortic dissection patients. ROC curve analysis showed heart rate equal to or >60 per minute (AUC = 0.625, sensitivity = 86%, specificity = 10%, p = 0.019) and ST-segment elevation in aVR >0.5 mm (AUC = 0.854, sensitivity = 75%, specificity = 92%, p < 0.001) were associated with a higher mortality rate.

CONCLUSION

Heart rate equal or >60 and ST-segment elevation >0.5 mm in aVR lead can be used as predictive factors for mortality of patients with type A aortic dissection.

A Pseudo-Infarction Pattern in the Setting of Esophageal Malignancy

A 57-year-old African American male was admitted for workup of unintentional weight loss. He was found to have an esophageal squamous cell carcinoma. Electrocardiogram (ECG) readings demonstrated deep Q waves in leads V1-V2 with T wave flattening, which raised concern for a septal infarct. Myocardial infarction (MI) was subsequently ruled out through clinical, imaging, and laboratory analysis. The ECG findings were deemed as a pseudo-infarct pattern in the setting of squamous cell carcinoma of the esophagus.

Electrocardiographic abnormalities among late-stage non-dialysis chronic kidney disease patients

OBJECTIVES

Cardiovascular disease (CVD) complication is common among chronic kidney disease (CKD) patients. Thus, knowledge about CVD and ECG abnormalities in CKD are essential due to progressive nature of the disease and increased risk of sudden cardiac death. This study aims to scrutinize the ECG abnormalities among nondialysis late-stage CKD patients.

METHODS

A descriptive observational study was conducted at Dr. Soetomo General Hospital, Surabaya, Indonesia. Subjects were hospitalized patients with late-stage CKD between 1 January and 31 December 2019, who were consulted at the department of cardiology and vascular medicine during their initial admission at emergency room. ECG interpretation for this study was done by qualified cardiologist.

RESULTS

There were 191 patients included in this study. Mean ages were 52.2 ± 11.8 years old and 51% were males. Total 143 (74.9%) patients had anemia, 111 (58.1%) had hypertension and 75 (39.3%) had type 2 diabetes mellitus. Mean serum creatinine was 10.5 ± 8.0 mg/dL. There were 176 (92.1%) patients with at least one form of ECG abnormalities. Prolonged QTc interval (36.6%), fragmented QRS complex (29.8%), poor R wave progression (24.6%), peaked T wave (22.0%) and left ventricular hypertrophy (16.7%) were the most common abnormalities.

CONCLUSIONS

ECG abnormalities are common among nondialysis late-stage CKD patients. Given the fact that long-term CKD influences the pathogenesis cardiovascular diseases and substantial cardiovascular mortality, there is a need to screen Indonesian CKD patients who are at risks of getting earlier complications.