The invention relates to the field of
biomedicine, in particular to a construction method of an old patient postoperative serious complication
risk probability prediction column
graph model based on preoperative human N-terminal
brain natriuretic peptide. According to the method, five independent risk factors related to the occurrence of the postoperative serious complications of the
elderly patient are provided, and the
risk probability prediction column
graph model is constructed by using multi-factor
logistic regression and is used for evaluating the risk of the postoperative serious complications of the
elderly patient. The method comprises the following steps: firstly, collecting clinical data of an operation of an
elderly patient; then
risk factor screening is carried out through multi-single-factor
logistic regression; then,
ranking the risk factors according to importance by using an optimal subset regression method to obtain characteristic variables with relatively high prediction values; and finally, establishing a multi-factor
logistic regression risk probability prediction model, and constructing a column graph according to the prediction model. According to the method, the occurrence risk of the postoperative serious complications of the elderly patient can be accurately predicted based on the pre-operative N-terminal
brain natriuretic peptide, clinical doctors can be helped to recognize the high-risk elderly patient suffering from the postoperative serious complications in the early stage, the doctors are guided to conduct individualized intervention, and occurrence of the postoperative serious complications of the elderly patient is reduced.