Abstract:

Objective

To establish an automatic cardiovascular risk assessing program and to evaluate its effects.

Methods

Chinese ischemic cardiovascular risk model was used as the standard. The values of the risk factors(including gender, age, systolic blood pressure, height, weight, smoking status, total cholesterol) were acquired from the data bank of hospital information system. The risk prediction functions were translated into computer programs.The absolute risk and the magnitude of the risk factors were calculated by computer program using the values of risk factors. Finally, the risk report was generated for clients to read and print. The automatic risk assessment was performed in 706 clients in Wuhan Asia Heart Hospital from January to June 2014. There were 88, 155, 172, 203, 88 people in ＜30, 31-40, 41-50, 51-60, and ＞61 years old groups respectively. The average risk was calculated in each age group.

Results

The automatic cardiovascular risk assessing program ran without problems in the 6 months. The data were extracted correctly. The results were accurate. The reports were generated immediately. Clients and doctors indicated that, by reading the report, they could understand whether the risk was high and what the major risk factors were. In male participants, the average risks were 0.43%, 0.96%, 2.27%, 4.05%, and 7.35% in ＜30, 31-40, 41-50,51-60, and ＞61 years old groups respectively. In female participants, the average risks were 0.05%, 0.15%, 0.62%,1.80%, and 5.44% in ＜30, 31-40, 41-50, 51-60, and ＞61 years old groups respectively.

Conclusions

The results show that the automatic cardiovascular risk assessing program is stable and reliable, and the report is complete and easy to understand. It suggest that the automatic cardiovascular risk assessing program can replace manual cardiovascular risk assessment, and the automatic program reduces doctors' burden and facilitate the promotion of cardiovascular risk assessment in clinic. The survey of the clients’ risks suggests that the cardiovascular risk may increase with age. Therefore, people need to enhance the prevention of cardiovascular diseases with the increase of age.

Key words: Cardiovascular disease, Risk assessment, Automation