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    Artificial Intelligence-Based Clinical Decision Support Systems in Cardiovascular Diseases
    (Kare Publ, 2024) Bozyel, Serdar; Simsek, Evrim; Kocyigit, Duygu; Guler, Arda; Korkmaz, Yetkin; Seker, Mehmet; Erturk, Mehmet
    Despite all the advancements in science, medical knowledge, healthcare, and the healthcare industry, cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide. The main reasons are the inadequacy of preventive health services and delays in diagnosis due to the increasing population, the failure of physicians to apply guide-based treatments, the lack of continuous patient follow-up, and the low compliance of patients with doctors' recommendations. Artificial intelligence (AI)-based clinical decision support systems (CDSSs) are systems that support complex decision-making processes by using AI techniques such as data analysis, foresight, and optimization. Artificial intelligence-based CDSSs play an important role in patient care by providing more accurate and personalized information to healthcare professionals in risk assessment, diagnosis, treatment optimization, and monitoring and early warning of CVD. These are just some examples, and the use of AI for CVD decision support systems is rapidly evolving. However, for these systems to be fully reliable and effective, they need to be trained with accurate data and carefully evaluated by medical professionals.
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    DigitalTechnologies in Heart Failure Management
    (Kare Publ, 2024) Simsek, Evrim; Korkmaz, Yetkin; Bozyel, Serdar; Guler, Arda; Burunkaya, Duygu Kocyigit; Erturk, Mehmet; Keser, Nurgul
    Heart Failure (HF) is an important public health problem in Turkey and in the world. Hospitalizations due to HF decompensation are associated with increased mortality. The use of digital technologies, especially wearable technologies, is increasing. As physicians, with the use of these devices, patients could be closely followed up and hospitalization, mortality are tried to be prevented by increased awareness of decomposition before clinical symptoms or at the beginning of symptoms. In this review, digital biomarkers, digital technologies, remote monitoring systems and the evidence supporting their use, artificial intelligence applications and the reasons limiting their use of digital technologies in clinical practice will be discussed.
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    Time delays in each step from symptom onset to treatment in acute myocardial infarction: Results from a nation-wide TURKMI registry
    (Aves, 2021) Erol, Mustafa Kemal; Kayikcioglu, Meral; Kilickap, Mustafa; Guler, Arda; Ozturk, Onder; Tuncay, Burcu; Inci, Sinan
    Objective: In this study, we aimed to analyze the TURKMI registry to identify the factors associated with delays from symptom onset to treatment that would be the focus of improvement efforts in patients with acute myocardial infarction (AMI) in Turkey. Methods: The TURKMI study is a nation-wide registry that was conducted in 50 centers capable of 24/7 primary percutaneous coronary intervention (PCI). All consecutive patients (n=1930) with AMI admitted to coronary care units within 48 hours of symptom onset were prospectively enrolled during a predefined 2-week period between November 1, 2018, and November 16, 2018. All the patients were examined in detail with regard to the time elapsed at each step from symptom onset to initiation of treatment, including door-to-balloon time (D2B) and total ischemic time (TIT). Results: After excluding patients who suffered an AMI within the hospital (2.6%), the analysis was conducted for 1879 patients. Most of the patients (49.5%) arrived by self-transport, 11.8% by emergency medical service (EMS) ambulance, and 38.6% were transferred from another EMS without PCI capability. The median time delay from symptom-onset to EMS call was 52.5 (15-180) min and from EMS call to EMS arrival 15 (10-20) min. In ST-segment elevation myocardial infarction (STEMI), the median D2B time was 36.5 (25-63) min, and median TIT was 195 (115-330) min. TIT was significantly prolonged from 151 (90-285) min to 250 (165-372) min in patients transferred from non-PCI centers. The major significant factors associated with time delay were patient-related delay and the mode of hospital arrival, both in STEMI and non-STEMI. Conclusion: The baseline evaluation of the TURKMI study revealed that an important proportion of patients presenting with AMI within 48 hours of symptom onset reach the PCI treatment center later than the time proposed in the guidelines, and the use of EMS for admission to hospital is extremely low in Turkey. Patient-related factors and the mode of hospital admission were the major factors associated with the time delay to treatment.
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    Treatment delays and in-hospital outcomes in acute myocardial infarction during the COVID-19 pandemic: A nationwide study
    (Turkish Soc Cardiology, 2020) Erol, Mustafa Kemal; Kayikcioglu, Meral; Kilickap, Mustafa; Guler, Arda; Yildirim, Abdullah; Kahraman, Fatih; Genc, Omer
    Objective: Delayed admission of myocardial infarction (MI) patients is an important prognostic factor. in the present nationwide registry (TURKMI-2), we evaluated the treatment delays and outcomes of patients with acute MI during the Covid-19 pandemic and compaired with a recent pre-pandemic registry (TURKMI-1). Methods: the pandemic and pre-pandemic studies were conducted prospectively as 15-day snapshot registries in the same 48 centers. the inclusion criteria for both registries were aged >= 18 years and a final diagnosis of acute MI (AMI) with positive troponin levels. the only difference between the 2 registries was that the pre-pandemic (TURKMI-1) registry (n=1872) included only patients presenting within the first 48 hours after symptom-onset. TURKMI-2 enrolled all consecutive patients (n=1113) presenting with AMI during the pandemic period. Results: A comparison of the patients with acute MI presenting within the 48-hour of symptom-onset in the pre-pandemic and pandemic registries revealed an overall 47.1% decrease in acute MI admissions during the pandemic. Median time from symptom-onset to hospital-arrival increased from 150 min to 185 min in patients with ST elevation MI (STEMI) and 295 min to 419 min in patients presenting with non-STEMI (NSTEMI) (p-values <0.001). Door-to-balloon time was similar in the two periods (37 vs. 40 min, p=0.448). in the pandemic period, percutaneous coronary intervention (PCI) decreased, especially in the NSTEMI group (60.3% vs. 47.4% in NSTEMI, p<0.001; 94.8% vs. 91.1% in STEMI, p=0.013) but the decrease was not significant in STEMI patients admitted within 12 hours of symptom-onset (94.9% vs. 92.1%; p=0.075). In-hospital major adverse cardiac events (MACE) were significantly increased during the pandemic period [4.8% vs. 8.9%; p<0.001; age- and sex-adjusted Odds ratio (95% CI) 1.96 (1.20-3.22) for NSTEMI, p=0.007; and 2.08 (1.38-3.13) for STEMI, p<0.001]. Conclusion: the present comparison of 2 nationwide registries showed a significant delay in treatment of patients presenting with acute MI during the COVID-19 pandemic. Although PCI was performed in a timely fashion, an increase in treatment delay might be responsible for the increased risk of MACE. Public education and establishing COVID-free hospitals are necessary to overcome patients' fear of using healthcare services and mitigate the potential complications of AMI during the pandemic.
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    Treatment delays and in-hospital outcomes in acute myocardialinfarction during the COVID-19 pandemic: A nationwide study
    (2020) Zeybey, Utku; İnci, Sinan; Kayıkçıoğlu, Meral; Genç, Ömer; Yıldırım, Abdullah; Guler, Arda; Erol, Mustafa Kemal
    Objective: Delayed admission of myocardial infarction (MI) patients is an important prognostic factor. In the present nationwide registry (TURKMI-2), we evaluated the treatment delays and outcomes of patients with acute MI during the Covid-19 pandemic and compaired with a recent pre-pandemic registry (TURKMI-1).Methods: The pandemic and pre-pandemic studies were conducted prospectively as 15-day snapshot registries in the same 48 centers. The inclusion criteria for both registries were aged ?18 years and a final diagnosis of acute MI (AMI) with positive troponin levels. The only difference between the 2 registries was that the pre-pandemic (TURKMI-1) registry (n=1872) included only patients presenting within the first 48 hours after symptom-onset. TURKMI-2 enrolled all consecutive patients (n=1113) presenting with AMI during the pandemic period.Results: A comparison of the patients with acute MI presenting within the 48-hour of symptom-onset in the pre-pandemic and pandemic registries revealed an overall 47.1% decrease in acute MI admissions during the pandemic. Median time from symptom-onset to hospital-arrival increased from 150 min to 185 min in patients with ST elevation MI (STEMI) and 295 min to 419 min in patients presenting with non-STEMI (NSTEMI) (p-values <0.001). Door-to-balloon time was similar in the two periods (37 vs. 40 min, p=0.448). In the pandemic period, percutaneous coronary intervention (PCI) decreased, especially in the NSTEMI group (60.3% vs. 47.4% in NSTEMI, p<0.001; 94.8% vs. 91.1% in STEMI, p=0.013) but the decrease was not significant in STEMI patients admitted within 12 hours of symptom-onset (94.9% vs. 92.1%; p=0.075). In-hospital major adverse cardiac events (MACE) were significantly increased during the pandemic period [4.8% vs. 8.9%; p<0.001; age- and sex-adjusted Odds ratio (95% CI) 1.96 (1.20–3.22) for NSTEMI, p=0.007; and 2.08 (1.38–3.13) for STEMI, p<0.001].Conclusion: The present comparison of 2 nationwide registries showed a significant delay in treatment of patients presenting with acute MI during the COVID-19 pandemic. Although PCI was performed in a timely fashion, an increase in treatment delay might be responsible for the increased risk of MACE. Public education and establishing COVID-free hospitals are necessary to overcome patients' fear of using healthcare services and mitigate the potential complications of AMI during the pandemic. (Anatol J Cardiol 2020; 24: 334-42)