prikaz prve stranice dokumenta Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review
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Scientific paper - Original scientific paper
Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review
Metabolites, 12 (2022), 312; 1-30. https://doi.org/10.3390/metabo12040312
Suri, Jasjit S; Paul, Sudip; Maindarkar, Maheshrao A; Puvvula, Anudeep; Saxena, Sanjay; Saba, Luca; Turk, Monika; R. Laird, John; N. Khanna, Narendra; Viskovic, Klaudija; M. Singh, Inder; Kalra, Mannudeep; R. Krishnan, Padukode; Johri, Amer; I. Paraskevas, Kosmas More authors...

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Suri, J. S., Paul, S., Maindarkar, M. A., Puvvula, A., Saxena, S., Saba, L. ... I. Paraskevas, K. (2022). Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review. Metabolites, 12. (312), 1-30. doi: 10.3390/metabo12040312

Suri, Jasjit S, et al. "Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review." Metabolites, vol. 12, no. 312, 2022, pp. 1-30. https://doi.org/10.3390/metabo12040312

Suri, Jasjit S, Sudip Paul, Maheshrao A Maindarkar, Anudeep Puvvula, Sanjay Saxena, Luca Saba, Monika Turk, et al. "Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review." Metabolites 12, no. 312 (2022): 1-30. https://doi.org/10.3390/metabo12040312

Suri, J. S., et al. (2022) 'Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review', Metabolites, 12(312), pp. 1-30. doi: 10.3390/metabo12040312

Suri JS, Paul S, Maindarkar MA, Puvvula A, Saxena S, Saba L, and sur.. Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review. Metabolites [Internet]. 2022 March 31 [cited 2024 November 23];12(312):1-30. doi: 10.3390/metabo12040312

J. S. Suri, et al., "Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review", Metabolites, vol. 12, no. 312, pp. 1-30, March 2022. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:184:582450. [Accessed: 23 November 2024]

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Metadata
Title (english)Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review
AuthorJasjit S Suri
AuthorSudip Paul
AuthorMaheshrao A Maindarkar
AuthorAnudeep Puvvula
AuthorSanjay Saxena
AuthorLuca Saba
AuthorMonika Turk
AuthorJohn R. Laird
AuthorNarendra N. Khanna
AuthorKlaudija Viskovic
AuthorInder M. Singh
AuthorMannudeep Kalra
AuthorPadukode R. Krishnan
AuthorAmer Johri
AuthorKosmas I. Paraskevas
Author's institutionUniversity of Rijeka
Faculty of Health Studies
(Department of Laboratory and Radiological Diagnostics)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Internal Medicine
Abstract (english)
Abstract: Parkinson’s disease (PD) is a severe, incurable, and costly condition leading to heart failure. The link between PD and cardiovascular disease (CVD) is not available, leading to controversies and poor prognosis. Artificial Intelligence (AI) has already shown promise for CVD/stroke risk stratification. However, due to a lack of sample size, comorbidity, insufficient validation, clinical examination, and a lack of big data configuration, there have been no well-explained bias-free AI investigations to establish the CVD/Stroke risk stratification in the PD framework. The study has two objectives: (i) to establish a solid link between PD and CVD/stroke; and (ii) to use the AI paradigm to examine a well-defined CVD/stroke risk stratification in the PD framework. The PRISMA search strategy selected 223 studies for CVD/stroke risk, of which 54 and 44 studies were related to the link between PD-CVD, and PD-stroke, respectively, 59 studies for joint PD-CVD-Stroke framework, and 66 studies were only for the early PD diagnosis without CVD/stroke link. Sequential biological links were used for establishing the hypothesis. For AI design, PD risk factors as covariates along with CVD/stroke as the gold standard were used for predicting the CVD/stroke risk. The most fundamental cause of CVD/stroke damage due to PD is cardiac autonomic dysfunction due to neurodegeneration that leads to heart failure and its edema, and this validated our hypothesis. Finally, we present the novel AI solutions for CVD/stroke risk prediction in the PD framework. The study also recommends strategies for removing the bias in AI for CVD/stroke risk prediction using the PD framework.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleMetabolites
Numberingvol. 12, no. 312, pp. 1-30
p-ISSN2218-1989
DOIhttps://doi.org/10.3390/metabo12040312
URN:NBNurn:nbn:hr:184:582450
Publication2022-03-31
Document URLhttps://www.mdpi.com/journal/metabolites
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-07-06 10:58:43