Literature DB >> 15694624

Cardiovascular risk calculators: understanding differences and realising economic implications.

Silvana Quaglini1, Mario Stefanelli, Lorenzo Boiocchi, Fabio Campari, Anna Cavallini, Giuseppe Micieli.   

Abstract

In recent years, the concept of "global cardiovascular risk assessment" has grown in interest for its role in primary prevention of cardiovascular diseases. Interventions for reducing the risk of relapse for persons with cardiovascular past history are well agreed-on. But for persons without such a history, the risk of a first attack varies greatly and this variability implies a range in the intensity of interventions. In several countries, guidelines for general practitioners have been diffused about pharmaceutical prescriptions in the different risk classes. In particular, in Italy, a governmental drug management commission has established that Statins, the most used cholesterol lowering medicines, can be refunded by the National Healthcare System only if they are prescribed to hyper-cholesterol patients with a global risk greater than 20%. The question is: how to calculate the risk? We performed a review of both the web and the literature and we found a lot of different "risk calculators". By means of a simulation study, we showed that these tools, when used for the same person, may lead to very different results. We estimated the economic impact of using one or another calculator.

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Year:  2005        PMID: 15694624     DOI: 10.1016/j.ijmedinf.2004.05.011

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  4 in total

1.  Coronary artery disease risk assessment from unstructured electronic health records using text mining.

Authors:  Jitendra Jonnagaddala; Siaw-Teng Liaw; Pradeep Ray; Manish Kumar; Nai-Wen Chang; Hong-Jie Dai
Journal:  J Biomed Inform       Date:  2015-08-28       Impact factor: 6.317

2.  Utilizing Chinese Admission Records for MACE Prediction of Acute Coronary Syndrome.

Authors:  Danqing Hu; Zhengxing Huang; Tak-Ming Chan; Wei Dong; Xudong Lu; Huilong Duan
Journal:  Int J Environ Res Public Health       Date:  2016-09-13       Impact factor: 3.390

3.  Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases.

Authors:  G Michael Allan; Faeze Nouri; Christina Korownyk; Michael R Kolber; Ben Vandermeer; James McCormack
Journal:  BMC Res Notes       Date:  2015-09-07

4.  Decision-making using absolute cardiovascular risk reduction and incremental cost-effectiveness ratios: a case study.

Authors:  J A Ker; H Oosthuizen; P Rheeder
Journal:  Cardiovasc J Afr       Date:  2008 Mar-Apr       Impact factor: 1.167

  4 in total

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