Hafifah Ab Hamid¹, Nazrul Anuar Nayan^1,*, Mohd Zubir Suboh¹, Nurin Izzati Mohamad Azizul¹, Mohamad Nazhan Mohd Nizar¹, Amilia Aminuddin², Mohd Shahrir Mohamed Said³, Saharuddin Ahmad⁴

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 287-304, 2022, DOI:10.32604/cmc.2022.021987

Abstract Hyperuricemia is an alarming issue that contributes to cardiovascular disease. Uric acid (UA) level was proven to be related to pulse wave velocity, a marker of arterial stiffness. A hyperuricemia prediction method utilizing photoplethysmogram (PPG) and arteriograph by using machine learning (ML) is proposed. From the literature search, there is no available papers found that relates PPG with UA level even though PPG is highly associated with vessel condition. The five phases in this research are data collection, signal preprocessing including denoising and signal quality indexes, features extraction for PPG and SDPPG waveform, statistical analysis for feature selection and classification… More >

Juan Lizandro Rodríguez‐Hernández¹, Fayna Rodríguez‐González², Marta Riaño‐Ruiz³, Efrén Martínez‐Quintana^1,4

Congenital Heart Disease, Vol.13, No.5, pp. 655-662, 2018, DOI:10.1111/chd.12620

Abstract Introduction: Hyperuricemia has been associated with cardiovascular risk factors but it remains controversial if uric acid is an independent predictor of cardiac mortality.
Methods: A total of 503 CHD patients (457 nonhypoxemic and 46 hypoxemic) and 772 control patients fulfilled inclusion criteria. Demographic, clinical, and analytical data [serum uric acid and 24h urine uric acid levels, N‐terminal pro‐B‐type natriuretic peptide (NT‐pro‐BNP), and C‐reactive‐protein (CRP) concentrations] were studied. Survivals curves to determine cardiac death and arterial thrombosis in CHD patients were also examined.
Results: Noncyanotic and cyanotic CHD patients had significant higher serum uric acid concentration (5.2 ± 1.5 vs 4.9 ± 1.3mg/dL, P = .007 and… More >