A view at the future - a dynamical, protocol-based and computationally intensive approach in cardiovascular risk assessment [Pogled u budućnost: dinamički pristup procjene kardiovaskularnog rizika, temeljen na protoku i upotrebi kompjutera]

Majnarić-Trtica, Ljiljana and Vitale, Branko and Martinis, Mladen and Reiner, Željko (2010) A view at the future - a dynamical, protocol-based and computationally intensive approach in cardiovascular risk assessment [Pogled u budućnost: dinamički pristup procjene kardiovaskularnog rizika, temeljen na protoku i upotrebi kompjutera]. Collegium Antropologicum, 34 (2). pp. 437-445. ISSN 0350-6134

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Abstract

Knowledge of cardiovascular risk factors is increasing. At the same time, risk estimation becomes more and more difficult. The need for a more comprehensive, but more individually based approach is evident. To achieve this aim, we propose a systems biology approach in cardiovascular risk assessment. This means that a large amount of health data, describing many aspects of the health-status of patients, is collected and computed and the results are compared with existing knowledge. Finally, a clinical model is created, which can be the first step in ongoing research protocol, aimed at assessing cardiovascular risk. By using this approach, all potentially relevant risk factors can be identified on a small sample. Moreover, risk groups can be more specifically defined, based on the "natural" clustering of data, according to their predictive load. We tested this possibility on an example of hyperhomocysteinemia which is a well-known complex cardiovascular risk factor.

Abstract in Croatian

Znanje o kardiovaskularnim čimbenicima rizika se stalno povećava. Shodno tome, postupak procjene kardiovaskularnog rizika postaje sve kompliciraniji. Javlja se zahtjev za što obuhvatnijim, ali i što više individualiziranim pristupom. Kao način postizanja toga cilja, za procjenu kardiovaskularnog rizika predlažemo pristup s aspekta sustavne biologije. To znači potrebu prikupljanja velikog broja podataka, da bi se opisalo zdravstveno stanje pacijenata. Te podatke treba obraditi naprednim kompjuterskim metodama i usporediti s postojećim znanjem. Konačni cilj toga postupka je kreiranje kliničkog modela, što je tek prvi korak cikličkog protokola koji za krajnji cilj ima procjenu kardiovaskularnog rizika. Takvim pristupom bi se mogli identificirati svi potencijalno važni čimbenici rizika na malom uzorku ispitanika. Štoviše, zbog »prirodnog« grupiranja podataka, na temelju njihove prediktivne vrijednosti, na taj način bi se mogle specifičnije definirati rizične skupine pacijenata. Takvu mogućnost smo testirali na primjeru hiperhomocisteinemije, što je poznati kompleksni čimbenik povećanog kardiovaskularnog rizika.

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