Petras Navickas

Pathophysiology of Circulating Biomarkers and Relationship With Vascular Aging: A Review of the Literature From VascAgeNet Group on Circulating Biomarkers, European Cooperation in Science and Technology Action 18216

P. Navickas, R. Bruno, M. Bernal-López, 2021, Frontiers in Physiology.

Ambulatory and successive home-based heart rate targeted aerobic training improves arterial parameters: a follow-up study in people with metabolic syndrome

A. Laucevičius, P. Navickas, L. Ryliškytė, 2023, Annals of medicine.

Arterial stiffness in regards to kidney function in middle-aged subjects with metabolic syndrome: Lithuanian high-risk cohort.

A. Laucevičius, L. Ryliškytė, J. Badarienė, 2021, Blood pressure monitoring.

Age- and gender-related peculiarities of patients with delirium in the cardiac intensive care unit.

P. Navickas, P. Šerpytis, Rokas Šerpytis, 2017, Kardiologia polska.

Daily Heart Rate Variability Indices in Subjects with and Without Metabolic Syndrome Before and After the Elimination of the Influence of Day-time Physical Activity

A. Laucevičius, Ieva Laucevičienė, P. Navickas, 2019, Medicina.

Anxiety, Depression, and Suicidal Ideation amongst Patients with Facial Dermatoses (Acne, Rosacea, Perioral Dermatitis, and Folliculitis) in Lithuania

C. Zouboulis, P. Navickas, A. Navickas, 2020, Dermatology.

Quality of life, anxiety prevalence, depression symptomatology and suicidal ideation among acne patients in Lithuania

C. Zouboulis, P. Navickas, A. Navickas, 2017, Journal of the European Academy of Dermatology and Venereology : JEADV.

Changes in health-related quality of life, motivation for physical activity, the levels of anxiety and depression after individualized aerobic training in subjects with metabolic syndrome.

A. Laucevičius, Jurate Zupkauskiene, Ieva Laucevičienė, 2022, Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese.

Assessment of the disease severity in patients hospitalized for COVID-19 based on the National Early Warning Score (NEWS) using statistical and machine learning methods: An electronic health records database analysis.

A. Jankauskienė, R. Puronaitė, Edita Kazėnaitė, 2023, Technology and health care : official journal of the European Society for Engineering and Medicine.