Factors associated with paroxysmal arrhythmias in ambulatory ECG monitored patients

Background/Aim: Arrhythmia is a heart rhythm disorder that can appear suddenly without any symptoms and has the risk of causing other diseases and even death. This study aimed to determine predicting factors for the incidence of paroxysmal arrhythmias. Methods: This retrospective observational cohor...

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Main Authors: Dwiyanto Yusup, Permatasari Tria Astika Endah, Jumaiyah Wati, Fadlilah Siti, Sumarni Sumarni
Format: Article
Language:English
Published: Medical Society of the Republic of Srpska, Banja Luka, University of Banja Luka. Faculty of Medicine 2025-01-01
Series:Scripta Medica
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Online Access:https://scindeks-clanci.ceon.rs/data/pdf/2490-3329/2025/2490-33292501053D.pdf
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author Dwiyanto Yusup
Permatasari Tria Astika Endah
Jumaiyah Wati
Fadlilah Siti
Sumarni Sumarni
author_facet Dwiyanto Yusup
Permatasari Tria Astika Endah
Jumaiyah Wati
Fadlilah Siti
Sumarni Sumarni
author_sort Dwiyanto Yusup
collection DOAJ
description Background/Aim: Arrhythmia is a heart rhythm disorder that can appear suddenly without any symptoms and has the risk of causing other diseases and even death. This study aimed to determine predicting factors for the incidence of paroxysmal arrhythmias. Methods: This retrospective observational cohort study used patients' medical records in the Cardiovascular Outpatient Service Unit at RSUD Budhi Asih, Jakarta, Indonesia, from 2017-2021. Based on inclusion and exclusion criteria, 406 patients were analysed. The occurrence of paroxysmal arrhythmias based on the doctor's diagnosis in medical record data was divided into paroxysmal atrial, supraventricular, ventricular and atrioventricular block (AV block) arrhythmias. Data analysis used the Chi-square test. Results: A total of 39.4 % of patients had paroxysmal atrial arrhythmias. Factors associated with the occurrence of paroxysmal atrial arrhythmias were age, gender, smoking behaviour, comorbidities and heart-pumping ability. On the other hand, body mass index, hypertension and diabetes mellitus were shown to be significantly associated with paroxysmal supraventricular arrhythmias. Gender, smoking behaviour, diabetes mellitus, coronary heart disease, thyroid disease and heart pumping ability were predicting factors for paroxysmal ventricular arrhythmias. Meanwhile, only gender and heart disease were factors associated with paroxysmal AV block arrhythmias. Conclusion: Sociodemographic and individual clinical conditions were associated with paroxysmal arrhythmias. However, these factors vary according to the outbreak of the arrhythmia.
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spelling doaj-art-bbfc1e164526476780e69c2bd383eb8b2025-08-20T01:51:35ZengMedical Society of the Republic of Srpska, Banja Luka, University of Banja Luka. Faculty of MedicineScripta Medica2490-33292303-79542025-01-01561536010.5937/scriptamed56-523532490-33292501053DFactors associated with paroxysmal arrhythmias in ambulatory ECG monitored patientsDwiyanto Yusup0https://orcid.org/0000-0001-8402-5878Permatasari Tria Astika Endah1https://orcid.org/0000-0001-9589-3814Jumaiyah Wati2https://orcid.org/0000-0002-4738-2064Fadlilah Siti3https://orcid.org/0000-0002-3336-3276Sumarni Sumarni4https://orcid.org/0000-0001-5031-4997RSUD Budhi Asih, Jakarta, IndonesiaMuhammadiyah Jakarta University, Faculty of Medicine and Health, Department of Nutrition, Jakarta, IndonesiaMuhammadiyah Jakarta University, Nursing Programme Study, Jakarta, IndonesiaUniversitas Respati Yogyakarta, Program Study of Nursing, Yogyakarta, IndonesiaPoltekkes Kemenkes Semarang, Program Study of Nursing, Semarang, IndonesiaBackground/Aim: Arrhythmia is a heart rhythm disorder that can appear suddenly without any symptoms and has the risk of causing other diseases and even death. This study aimed to determine predicting factors for the incidence of paroxysmal arrhythmias. Methods: This retrospective observational cohort study used patients' medical records in the Cardiovascular Outpatient Service Unit at RSUD Budhi Asih, Jakarta, Indonesia, from 2017-2021. Based on inclusion and exclusion criteria, 406 patients were analysed. The occurrence of paroxysmal arrhythmias based on the doctor's diagnosis in medical record data was divided into paroxysmal atrial, supraventricular, ventricular and atrioventricular block (AV block) arrhythmias. Data analysis used the Chi-square test. Results: A total of 39.4 % of patients had paroxysmal atrial arrhythmias. Factors associated with the occurrence of paroxysmal atrial arrhythmias were age, gender, smoking behaviour, comorbidities and heart-pumping ability. On the other hand, body mass index, hypertension and diabetes mellitus were shown to be significantly associated with paroxysmal supraventricular arrhythmias. Gender, smoking behaviour, diabetes mellitus, coronary heart disease, thyroid disease and heart pumping ability were predicting factors for paroxysmal ventricular arrhythmias. Meanwhile, only gender and heart disease were factors associated with paroxysmal AV block arrhythmias. Conclusion: Sociodemographic and individual clinical conditions were associated with paroxysmal arrhythmias. However, these factors vary according to the outbreak of the arrhythmia.https://scindeks-clanci.ceon.rs/data/pdf/2490-3329/2025/2490-33292501053D.pdfarrhythmias, cardiachypertensiondiabetes mellitusrisk factorscomorbidity
spellingShingle Dwiyanto Yusup
Permatasari Tria Astika Endah
Jumaiyah Wati
Fadlilah Siti
Sumarni Sumarni
Factors associated with paroxysmal arrhythmias in ambulatory ECG monitored patients
Scripta Medica
arrhythmias, cardiac
hypertension
diabetes mellitus
risk factors
comorbidity
title Factors associated with paroxysmal arrhythmias in ambulatory ECG monitored patients
title_full Factors associated with paroxysmal arrhythmias in ambulatory ECG monitored patients
title_fullStr Factors associated with paroxysmal arrhythmias in ambulatory ECG monitored patients
title_full_unstemmed Factors associated with paroxysmal arrhythmias in ambulatory ECG monitored patients
title_short Factors associated with paroxysmal arrhythmias in ambulatory ECG monitored patients
title_sort factors associated with paroxysmal arrhythmias in ambulatory ecg monitored patients
topic arrhythmias, cardiac
hypertension
diabetes mellitus
risk factors
comorbidity
url https://scindeks-clanci.ceon.rs/data/pdf/2490-3329/2025/2490-33292501053D.pdf
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AT jumaiyahwati factorsassociatedwithparoxysmalarrhythmiasinambulatoryecgmonitoredpatients
AT fadlilahsiti factorsassociatedwithparoxysmalarrhythmiasinambulatoryecgmonitoredpatients
AT sumarnisumarni factorsassociatedwithparoxysmalarrhythmiasinambulatoryecgmonitoredpatients