Method for establishing post-coronary artery bypass transplantation acute kidney injury prediction model

A technology for acute kidney injury and coronary artery, applied in the field of biomedicine, can solve the problem of bias in patient evaluation, and achieve the effects of abundant samples, good discrimination, and high prediction accuracy

Pending Publication Date: 2021-05-25
FUWAI HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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Problems solved by technology

Evaluation may be biased in patients today undergoi

Method used

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  • Method for establishing post-coronary artery bypass transplantation acute kidney injury prediction model
  • Method for establishing post-coronary artery bypass transplantation acute kidney injury prediction model
  • Method for establishing post-coronary artery bypass transplantation acute kidney injury prediction model

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Experimental program
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[0033]Example 1

[0034]To collected the 2010 to 2019, 3659 domestic 3659 patients with heart failure accepted by coronary artery paragraphs as modeling studies, collecting patients include: gender, high blood lipid, sodium brain, thyroid function, Hemoglobin, alanine amino transferase, hypertension, body mass index, honestosis, diabetes, cardiovascular stent implantation, blood vessel increase, cardiac surgery, smoking history, peripheral artery disease, cerebrovascular event Critical state, CCS4, preoperative atrial fibrillation or housing, NYHA heart function III or IV level, left ventricular ejection fraction (LVEF <35%), combined valve surgery, combined aortic surgery, non-alternative surgery, chronic obstruction 27 risk factors in lung disease, in vitro circulating surgery and perioperative blood transfusion as research objects.

[0035]The definition of acute renal injury is based on the following three standards to meet one of the diagnosis of acute kidney injury: (1) Hardonine (S...

Example Embodiment

[0037]Example 2

[0038]Statistical analysis: All variables are classified variables, expressed by frequency (percentage), in single factor analysis, the significance of risk factors is sorted in the absolute value of the correct rate, and the P value requires less than 0.1. Multi-Factor Logistic Regression Analysis Adopt "Enter" method, "Enter" method is an analytical method in the regression analysis method column, and establishes a line list prediction model based on the Logistic regression equation.

[0039]3,659 patients were divided into two groups based on age, gender and body mass index indicators, one of the people as a modeling group, another group as a verification group, the number of people in the model group was 2365 people, and the number of validation group was 1294. The age, gender and body mass index indicator distribution of the modeling group and the verification group are basically consistent.

[0040]In the modeling group (n = 2365), integrated previous research and cli...

Example Embodiment

[0050]Example 3

[0051]Independent risk factor alanine amino transferase and sodium sodium peptide affect the present line plot predictive model, verifying the object is a population group, when the prediction model of this line is incorporated into gender, preoperative blood creatinine increased, LVEF <35 %, 7 independent risk factors such as past myoprotic, hypertension, in vitro circulatory surgery and perioperative blood transfusion, under the working curve of the subject (AUC) is 0.738; when the model is incorporated into gender, preoperative blood creatinine increase LVEF <35%, past myrotic, hypertension, in vitro circulating surgery, perioperative blood transfusion and alanine amino transferase, etc., the underlying area (AUC) is 0.762; When the model is incorporated into gender, preoperative blood creatinine increases, LVEF <35%, past myrotic, hypertension, in vitro circulating surgery, perioperative blood transfusion and brain sodium peptide, subject work curve The lower area...

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Abstract

The invention discloses a method for establishing a post-coronary artery bypass transplantation acute kidney injury prediction model, which comprises the following steps of: a risk assessment model is firstly established by collecting and sorting hospital data of a large number of domestic patients and combining direct single-factor and indirect single-factor regression screening and multi-factor regression optimization analysis; the accuracy and the reliability of the evaluation model are effectively improved by increasing the sample size and incorporating new risk factors, especially introducing two risk factors of alanine aminotransferase increase and brain natriuretic peptide; therefore, an effective assessment and prediction method is provided for acute kidney injury risk assessment of coronary artery bypass transplantation of heart failure patients in China, and the method is of great significance to healthy development of the medical level in China.

Description

technical field [0001] The invention belongs to the field of biomedicine, in particular to a method for establishing a prediction model of acute kidney injury after coronary artery bypass grafting. Background technique [0002] Coronary heart disease is the most common cause of heart failure, coronary artery bypass grafting (CABG) surgery is one of the important methods of surgical treatment of coronary heart disease combined with cardiac insufficiency. However, due to the high requirements for surgical techniques and the complexity of perioperative management, severe perioperative complications of such patients remain high. Among the many complications, the incidence of acute kidney injury (AKI) is relatively high, and postoperative Organ dysfunction, most commonly cardiac insufficiency combined with AKI, is closely associated with perioperative mortality and postoperative quality of life. At present, many predictive scoring systems for renal insufficiency after cardiac su...

Claims

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Application Information

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IPC IPC(8): G16H50/50G16H50/30G16H50/20G16H50/70
CPCG16H50/50G16H50/30G16H50/20G16H50/70
Inventor 侯剑峰林宏远
Owner FUWAI HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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