Peak Atrial Longitudinal Strain sebagai Prediktor Kejadian Fibrilasi Atrium pada Pasien Gagal Jantung dengan Sinus Ritme di Rumah Sakit Umum Pusat Haji Adam Malik Medan
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Date
2023Author
Lubis, Abdillah
Advisor(s)
Lubis, Anggia Chairuddin
Hasan, Refli
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Introduction: A complication that can arise from heart failure and is a part of major
cardiovascular event is atrial fibrillation. One method that can be used to predict the
incidence of atrial fibrillation is by using echocardiography. The overall myocardial
load is based on the speckle-tracking method and measures myocardial deformity
directly which then reflects myocardial contractility. Alterations in the anatomy and
physiology of the left atrium have been identified as predictors of atrial fibrillation.
Objective: To determine the ability of echocardiographic parameters of Peak Atrial
Longitudinal Strain as a predictor of atrial fibrillation in heart failure patients with sinus
rhythm
Method: This study is an analytic observational study conducted as a retrospective
cohort on 100 samples with a diagnosis of heart failure, sine wave EKG results, and a
good echocardiographic view. An analysis was performed to obtain a calculation of
Peak Atrial Longitudinal Strain and other echocardiographic parameters. Data were
analyzed univariately, bivariately, and multivariately using the ROC curve to assess
the predictive ability of Peak Atrial Longitudinal Strain.
Result: Of the 100 study samples, 29 patients (29%) had atrial fibrillation. PALS
parameters were found to decrease significantly in patients who later developed AF
compared with patients who did not develop AF. The results of the ROC analysis
showed that the PALS value was a very strong predictor of the incidence of AF (AUC:
0.850, 95% CI: 0.757-0.943, p=0.001) with a cut-off value of 18. It was found that
there were 38% of patients with a PALS value of ≤18, there were 62 % of patients with
PALS values >18. There is a statistically significant relationship between the PALS
value and the incidence of atrial fibrillation (p=0.001).
Conclusion: PALS value can be used as a predictor of FA during treatment in heart
failure patients.
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