Ali Serdar Fak

Machine learning-based identification of cardiovascular risk modifiers in patients with very high LDL cholesterol: A cross-sectional study

Hakan Karataş, Ülfet Değer, Safa Abdullah Söğütlügil, Abidin Gündoğdu et autres

Individuals with LDL cholesterol (LDL-C) ≥ 190 mg/dL face a markedly increased risk of major adverse cardiovascular events (MACE). Traditional risk calculators such as SCORE2 and the Framingham risk score often underestimate this risk. In this study, we aimed to apply machine …

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An Assessment of Cardiovascular Health Risks in People Working from Home During the Pandemic Period: PANDEV-KALP Study

Gökhan TAZEGÜL, Volkan Aydın, Gülin Kıraç Aksuna, Mehmet Bülent Dik et autres

Background: The COVID-19 pandemic resulted in people working from home (WFH), which is associated with negative mental and social effects. However, the cardiovascular effects are not well established. We aimed to assess the effects of WFH on cardiovascular risk factors and health …

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Machine Learning Based Identification Of Risk Modifiers In Patients With Very High Ldl Cholesterol

Hakan Karataş, Ülfet Değer, Safa Sogutlugil, Abidin Gündoğdu et autres

Machine Learning to Predict Disease Severity and Progression in Hospitalized COVID-19 Patients Using Laboratory Data on Admission

Gökhan Tazegül, Volkan Aydın, Elif Tükenmez Tigen, Buket Ertürk Şengel et autres

Background: Herein, we aimed to develop and test machine learning (ML) models to predict disease severity and/or progression in hospitalized COVID-19 patients through baseline laboratory features. Methods: In this retrospective study of hospitalized COVID-19 patients admitted to a tertiary care center, we …

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The effectiveness of a fall detection device in older nursing home residents: a pilot study

Büşra Can, Aslı Tufan, Şevval Karadağ, Nurdan Şentürk Durmuş et autres

BACKGROUND: Real-world research to evaluate the effect of device technology in preventing fall-related morbidity is limited. This pilot study aims to investigate the effectiveness of a non-wearable fall detection device in older nursing home residents. METHODS: The study was conducted in a …

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Atrial fibrillation burden and cognitive function; a new horizon in the digital health era?

Ali Serdar Fak

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CARDIOVASCULAR PHARMACOTHERAPY IN THE ELDERLY

VOLKAN AYDIN, NERİMAN İPEK KIRMIZI SÖNMEZ, Ali Serdar Fak

The Association Between Autonomic Neuropathy, and Microalbuminuria with Altered Diurnal Blood Pressure Variation in Type 2 Diabetic Patients.

Oğuzhan Deyneli, Halil Önder Ersöz, Dilek Gogaş Yavuz, Ali Serdar Fak et autres

ABSTRACT Ambulatory blood pressure monitorization is a valuable tool for the assessment of diurnal variation of blood pressure and diagnosis of hypertension. Altered diurnal blood pressure variation is observed in diabetic patients with overt nephropathy. In this study, we planned to investigate …

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The role of myocardial performance index and Nt-proBNP levels as a marker of heart dysfunction in nonalcoholic cirrhotic patients

Sena Tokay Tarhan, Feruze Yılmaz Enç, Fatih Eren, Ali Serdar Fak et autres

Objective: Cardiac dysfunction has been reported in both cirrhotic and alcoholic patients. Our aim was to determine the relation of serum N-terminal pro-B-type natriuretic peptide (Nt-proBNP) levels to myocardial performance index (MPI) and disease severity in nonalcoholic cirrhotic patients. Patients and Methods: …

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Evaluation of health-related knowledge, attitudes, and behaviors of undergraduate students by cardiovascular risk factors

Volkan Aydın, Caner Vızdıklar, Ahmet Akıcı, Mehmet Akman et autres

AIM: To determine the presence of cardiovascular (CV) risk (CVR) factors in university students and evaluate how these factors are affected from the knowledge, attitudes, and habits of the individuals regarding healthy lifestyle. BACKGROUND: Starting from early ages, lifestyle habits such as …

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Günümüz dijital döneminde Google üzerinden ulaşılan sitelerin kolesterol yaklaşımı açısından değerlendirilmesi

Mert İlker Hayıroğlu, Göksel Çinier, Nurgül Keser, Mehmet Barlas Uzun et autres

Baseline characteristics predicting clinical outcomes and serious adverse events in middle-aged hypertensive women: a subanalysis of the SPRINT in women aged <65 years

Volkan Aydın, Ahmet Akıcı, Sibel Sakarya, Mehmet Akman et autres

Background/aim: The predictability of clinical outcomes in hypertension in specific patient groups, especially underrepresented populations is the key to rational treatment. This study aimed to investigate the impact of baseline characteristics of <65-year-old hypertensive women with an increased risk of cardiovascular events, …

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