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Progression appendicitis nomogram prediction model and application thereof

A prediction model, a technique for appendicitis, applied in the field of establishing a nomogram prediction model for advanced appendicitis, which can solve the problems of increased mortality associated with appendectomy, increased radiation-related cancer, and high price.

Pending Publication Date: 2020-05-22
CHILDRENS HOSPITAL OF FUDAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Likewise, misdiagnosis of appendicitis may result in unnecessary appendectomies and their associated increased mortality
[0003] The characteristic clinical manifestations of appendicitis include vomiting, metastatic right lower quadrant pain, fever, etc. However, these clinical manifestations are often atypical in pediatric patients, overlapping and confusing with many other diseases, including pneumonia and gastroenteritis, etc. Initial diagnosis of appendicitis presents challenges
In addition, abdominal examination is another challenge, children are often reluctant or unable to articulate, making it difficult to conduct an effective physical examination
There are many shortcomings in the imaging tests currently used to diagnose appendicitis in children. For example, computed tomography (CT) easily exposes children to ionizing radiation, which may increase the risk of radiation-related cancers; magnetic resonance imaging (MRI) and CT and ultrasound Compared with (US), the diagnostic accuracy for appendicitis is higher, however, its price is expensive, and because the inspection takes a long time, children often need anesthesia, and the clinical application value is not large, etc.; therefore, it is urgent to develop a method for using Non-invasive model for the diagnosis of appendicitis, especially in children with advanced appendicitis requiring immediate surgery
[0004] Previous studies have shown that serum markers, including C-reactive protein (CRP), white blood cell (WBC) count, and fibrin degradation products (FDP), can be used in the diagnosis of appendicitis and help to assess the severity of the disease, however, individual serum markers The diagnostic sensitivity and specificity of these substances are low. For example, clinical studies have shown that as many as 20% of children with appendicitis have WBC counts within the normal range, so it is necessary to develop a diagnostic model that combines indicators

Method used

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  • Progression appendicitis nomogram prediction model and application thereof
  • Progression appendicitis nomogram prediction model and application thereof
  • Progression appendicitis nomogram prediction model and application thereof

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Embodiment Construction

[0044] The clinical data of 411 children with appendicitis were collected as a model training set, of which, among these cases, 200 (48.66%) children were diagnosed and diagnosed with early appendicitis, while 211 (51.34%) patients were diagnosed and diagnosed with Advanced appendicitis. Most appendicitis patients were male (67.15%), however, there was no significant difference in gender distribution between the early and advanced appendicitis groups.

[0045] Univariate logistic regression analysis was used to identify independent variables associated with advanced appendicitis: there were significant differences in variables such as fibrin degradation products (FDP), C-reactive protein (CRP) and Na+ between the advanced appendicitis group and the early appendicitis group (P <0.05). Fibrin degradation product (FDP), C-reactive protein (CRP) had good independent predictive performance with an AUC greater than 0.8.

[0046] On the basis of multiple logistic regression analysis,...

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Abstract

The invention belongs to the field of biological medicine and molecular biology, relates to establishment and application of a disease-related factor scoring parameter analysis model, in particular toa progression appendicitis nomogram prediction system, which comprises model software, and is characterized in that the model software consists of a back-end database, a model algorithm and a front-end graphical user interface; the model algorithm is realized through computer programming of a scoring analysis model, a predictor is analyzed through logistic regression, and a Nomogram is adopted toestablish the model; the predictor comprises a fibrin degradation product, C-reactive protein and Na < + >. The established Nomogram diagnosis nomogram based on multivariate logistic regression analysis can help determine the risk index of the appendicitis in the progression stage according to the score in clinical practice; furthermore, the method can be used for analyzing scoring parameters ofserum markers of the progressive appendicitis and the early appendicitis, and is beneficial to identification of the progressive appendicitis and the early appendicitis.

Description

technical field [0001] The invention relates to the field of biotechnology, and relates to a new application for establishing an analysis model for scoring parameters of disease-related factors, in particular to a nomogram prediction model for establishing a progressive appendicitis and its application. Background technique [0002] The prior art discloses that appendicitis is the most common cause of surgical acute abdomen in children, and the incidence is relatively high. Accurate diagnosis and prompt, appropriate treatment are the keys to a good prognosis, conversely, delayed diagnosis and treatment can lead to rapid disease progression, leading to many complications, including liver abscesses, abdominal abscesses, diffuse peritonitis, intestinal obstruction, sepsis, and other Serious clinical condition. Likewise, misdiagnosis of appendicitis may lead to unnecessary appendectomy and its associated increased mortality. [0003] The characteristic clinical manifestations ...

Claims

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Application Information

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IPC IPC(8): G16H50/50
CPCG16H50/50
Inventor 董瑞姜璟郑珊
Owner CHILDRENS HOSPITAL OF FUDAN UNIV
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