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QT interval instability and QRS interval dispersion in healthy cats and cats with a hypertrophic cardiomyopathy
Rodrigo Franco Bastos1, Giovana Lr Tuleski1, Marlos Gonçalves Sousa1
1Laboratory of Comparative Cardiology, Department of Veterinary Medicine, Federal University of Paraná (UFPR), Curitiba, Brazil.
Insights
Electrocardiography (ECG) markers, including QT interval variability (STI) and QRS duration (QRSd), can help diagnose hypertrophic cardiomyopathy (HCM) in cats. These ECG findings indicate increased risk and ventricular instability in cats with HCM.
Area of Science:
- Veterinary Cardiology
- Cardiac Electrophysiology
- Feline Medicine
Background:
- Hypertrophic cardiomyopathy (HCM) is the most prevalent cardiac condition in domestic cats.
- Electrocardiography (ECG) is crucial for diagnosing HCM and assessing its secondary effects.
Purpose of the Study:
- To investigate specific ECG markers for diagnosing HCM in cats.
- To evaluate QT interval variability (total instability [TI], short-term instability [STI], long-term instability [LTI], QT variance [QTv]), mean corrected QT interval (QTa), heart rate-corrected QT interval (QTac), and QRS duration (QRSd) and dispersion (QRSv) in healthy cats versus those with HCM.
Main Methods:
- ECG data were analyzed from 63 cats (40 controls, 23 with HCM).
- Calculated parameters included QTa, QTac, QTv, TI, LTI, STI, QRSd, and QRSv.
- Statistical analysis involved Mann-Whitney U-tests, ROC curves, and logistic regression to assess diagnostic accuracy and risk.
Main Results:
- Cats with HCM exhibited significantly higher QTa, QTac, QRSd, and STI compared to controls.
- Specific thresholds (QTa >158.8 ms, QTac >27.4 ms, QRSd >0.045 s) demonstrated high accuracy in detecting HCM.
- Logistic regression indicated increased risk of HCM with elevated QTa, QTac, and QRSd values.
Conclusions:
- HCM in cats is associated with increased ventricular instability (STI) and prolonged QT and QRS intervals (QTa, QTac, QRSd).
- These ECG markers show promise as supplementary tools for screening and identifying HCM in feline patients.
Objectives:
Hypertrophic cardiomyopathy (HCM) is the most common heart disease in cats. Electrocardiographic (ECG) analysis can help with the diagnosis of HCM and also in the investigation of the secondary consequences of the disease. This study investigated ECG markers of QT interval variability (total instability [TI], short-term instability [STI], long-term instability [LTI], QT variance [QTv]), mean QT interval (QTa) and QT interval corrected for heart rate (QTac), as well as the duration (QRSd) and dispersion (QRSv) of the QRS interval in healthy cats and in those with HCM.
Methods:
Data were collected from 63 domestic cats: 40 in the control group and 23 in the HCM group. Fifty consecutive QT intervals were recorded for all cats and then QTa, QTac, QTv, TI, LTI and STI were calculated. QRSd and QRSv were also obtained for all animals. A Mann-Whitney U-test was used for group comparison. Receiver operating characteristic curves were plotted to evaluate the sensitivity and specificity of all markers for HCM. Logistic regression analysis was performed to assess the risks of cats having HCM, based on the studied indexes.
Results:
QTa (P <0.01), QTac (P <0.01), QRSd (P <0.01) and STI (P = 0.02) were higher in the HCM group. QTa >158.8 ms, QTac >27.4 ms and QRSd >0.045 s had an accuracy of 77.4%, 68.2% and 80.9%, respectively, in detecting HCM. Logistic regression showed that cats with QTa >158 ms, QTac >27.4 ms and QRSd >0.045 s had a 1.58-, 1,23- and 6.5-fold higher risk, respectively, of developing HCM.
Conclusions And Relevance:
Cats with HCM had higher ventricular instability as assessed by STI and showed a prolongation of the QT and QRS intervals via the QTa, QTac and QRSd markers. These markers show potential as ancillary screening tools for identifying the presence of HCM.
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