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Nilai Skor CHA2DS2-VAS-HSF Sebagai Prediktor Kejadian Nefropati Yang Diinduksi Kontras Pada Pasien Sindroma Koroner Akut Yang Menjalani Prosedur Intervensi Koroner Perkutan Herman William Parlindungan; Refli Hasan; Cut Aryla Andra; Nizam Zikri Akbar; Ali Nafiah Nasution; Harris Hasan; Zainal Safri; Anggia C Lubis; Bertha Gabriella Napitupulu
Jurnal Kardiologi Indonesia Vol 39 No 2 (2018): Indonesian Journal of Cardiology: April-June 2018
Publisher : The Indonesian Heart Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30701/ijc.v39i2.766

Abstract

Background: Contrast-Induced Nephropathy (CIN) is a serious problem that can be found in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI). The development of CIN in hospitalized patients even with coronary revascularization can immediately increase morbidity and mortality both during treatment and long-term outcomes. In a recent study, a CHA2DS2-VASC-HSF score was reported to predict coronary artery severity and major cardiovascular events (MACE) as well as CIN in AMI patients without atrial fibrillation. The purpose of this study was to investigate the CHA2DS2-VASC score as a predictor of CIN in AMI patients undergoing PCI procedures. Methods: This study was an ambispective cohort study of 53 AMI patients who were treated at cardiac care and underwent PCI procedures. The CHA2DS2-VASC-HSF score was calculated for each patient. From this study found 14 cases (26.4%) with a total CIN prevalence of 16.83%. CIN is defined as an increase in serum creatinine> 0.5 mg / dL or an increase in serum creatinine> 25% from baseline within 24 hours post PCI. Results: Through the analysis of the ROC curve, we established the CHA2DS2- VASC-HSF score cut point> 5 as a predictor of CIN with a sensitivity of 78.57% and specificity of 66.6 %% (AUC 0.818, 95%: CI 3.018-6.142, p <0.001). By getting the equation from the linear regression assessment we also found the probability of the occurrence of CIN in accordance with the CHA2DS2-VASC-HSF score. Conclusion: CHA2DS2-VASC score has a positive correlation with CIN. Therefore, this score can be used as a simple scoring system and can predict the incidence of CIN in AMI patients undergoing PCI procedures.
Quality of life assessment in patients after permanent pacemaker implantation at Haji Adam Malik Hospital Medan Khairunnisah, Dina; Ali Nafiah Nasution; Refli Hasan; Nizam Zikri Akbar; Anggia Chairuddin Lubis; Abdul Halim Raynaldo
Heart Science Journal Vol. 6 No. 3 (2025): Advancements in Cardiac Imaging : Unlocking New Perspectives on the Heart Visua
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.hsj.2025.006.03.15

Abstract

Background: PPM implantation is used to send electrical impulses to the heart muscle to correct heart rhythm disturbances also known as cardiac arrythmia. Assessing the patient's quality of life after a PPM implantation is crucial for predicting the therapy's effectiveness and success. Objectives: This study aims to assess the quality of life of patients following pacemaker implantation by using the SF-36 questionnaire. Methods: A cross-sectional study conducted from January 2021 to July 2023 on 60 outpatients with a minimum duration of PPM implantation of 6 months in the cardiology department of H. Adam Malik Hospital Medan. Patient’s quality of life was assessed based on the SF-36 questionnaire. Subjects then were grouped based on age, gender, PPM duration and location, as well as other echocardiographic parameters that may affect patient’s quality of life after PPM implantation. Results: There were 60 patients included in this study. Majority of patients were male (56.7%) with an average age of 67.98 ± 10.95 years old and most patients had comorbidities (81.7%). The majority of patients (93.3%) had a single-chamber permanent pacemaker implanted, with 68.3% of these devices’ ventricular leads positioned in the non-apical segment of the heart.  After assessing the quality of life, we found there’s a relationship between age, gender, and PPM lead locations with nearly all SF-36 domains (p<0.05). Additionally, there was a significant association between comorbidities and SF-36 scores, including physical function, physical limitations, and emotional limitations (p<0.05). There was a significant association between ejection fraction and SF-36 scores, including physical function, role limitations due to physical health problems, vitality, social function, bodily pain and general health. However, no relationship was found between IMT and PPM implantation duration with SF-36 scores (p>0.05). Conclusion: We identified a relationship between age, gender, comorbidities, PPM lead location, and ventricular ejection fraction with the quality of life of patients following PPM implantation