The impact of creating mathematical formula to predict cardiovascular events in patients with heart failure

Mari Sakamoto, Hiroki Fukuda, Jiyoong Kim, Tomomi Ide, Shintaro Kinugawa, Arata Fukushima, Hiroyuki Tsutsui, Akira Ishii, Shin Ito, Hiroshi Asanuma, Masanori Asakura, Takashi Washio, Masafumi Kitakaze

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Since our retrospective study has formed a mathematical formula, α = f(x 1, .., x 252), where α is the probability of cardiovascular events in patients with heart failure (HF) and x 1 is each clinical parameter, we prospectively tested the predictive capability and feasibility of the mathematical formula of cardiovascular events in HF patients. First of all, to create such a mathematical formula using limited number of the parameters to predict the cardiovascular events in HF patients, we retrospectively determined f(x) that formulates the relationship between the most influential 50 clinical parameters (x) among 252 parameters using 167 patients hospitalized due to acute HF; the nonlinear optimization could provide the formula of α = f(x 1, .., x 50) which fitted the probability of the actual cardiovascular events per day. Secondly, we prospectively examined the predictability of f(x) in other 213 patients using 50 clinical parameters in 3 hospitals, and we found that the Kaplan-Meier curves using actual and estimated occurrence probabilities of cardiovascular events were closely correlated. We conclude that we created a mathematical formula f(x) that precisely predicted the occurrence probability of future cardiovascular outcomes of HF patients per day. Mathematical modelling may predict the occurrence probability of cardiovascular events in HF patients.

Original languageEnglish
Article number3986
JournalScientific reports
Volume8
Issue number1
DOIs
Publication statusPublished - Dec 1 2018

All Science Journal Classification (ASJC) codes

  • General

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