System developed by utilizing multiple myeloma diagnosis model based on logistic regression and application of system

A technology for multiple myeloma and gender, applied in the field of biomedicine, can solve the problems of long MM diagnosis and detection time, high cost, and invasive detection, so as to facilitate timely diagnosis, improve accuracy and specificity, and better The effect of diagnostic efficacy

Pending Publication Date: 2020-09-01
BEIJING CHAOYANG HOSPITAL CAPITAL MEDICAL UNIV +2
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the current laboratory tests for the diagnosis of MM generally have a long test time, high costs, and some items are invasive

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • System developed by utilizing multiple myeloma diagnosis model based on logistic regression and application of system
  • System developed by utilizing multiple myeloma diagnosis model based on logistic regression and application of system
  • System developed by utilizing multiple myeloma diagnosis model based on logistic regression and application of system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] The establishment method of embodiment 1 multiple myeloma diagnosis model comprises the following steps:

[0049] 1. Collection of blood samples from two groups of people

[0050] Whole blood and serum were collected from newly diagnosed multiple myeloma patients and healthy controls in the case group. The inclusion criteria for patients with newly diagnosed multiple myeloma were hospitalized patients with newly diagnosed multiple myeloma who were clinically diagnosed according to the DS stage; the exclusion criteria for patients were (1) the patients had undergone chemotherapy and other treatments, (2) the clinical data were incomplete, (3) outpatients patient.

[0051] Diagnostic criteria for healthy people: Apparently healthy people who come from a physical examination center for a healthy physical examination, and the results of routine laboratory test indicators (biochemical series and blood routine) are within the reference range.

[0052] 2. Analysis of blood s...

Embodiment 2

[0082] Example 2 Validation of multiple myeloma diagnostic model.

[0083] research object

[0084] The research object is the verification set data obtained from the LIS and case system of Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 2018 to December 2018, consisting of 217 people; age 34-83 years old, average (61± 10 years old. Among the subjects, 113 were newly diagnosed patients with multiple myeloma, and 104 were healthy people (Table 4).

[0085] The diagnostic criteria of newly diagnosed multiple myeloma patients (MM) and healthy controls are the same as in Example 1.

[0086] 1. Collection of case data in the verification set and test index data in the model

[0087] The age and gender of the subjects (217 people) were recorded from the laboratory LIS system; the diagnostic information was recorded from the case system. The results are shown in Table 4 and Table 5.

[0088] Among them, use SIEMENS ADVIA 2400 instrument and bromoc...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a system developed by utilizing a multiple myeloma diagnosis model based on logistic regression and application of the system. One technical scheme protected by the invention is an application of a system for identifying sex and detecting albumin content and hemoglobin content in preparation of a product for screening or auxiliary screening of multiple myeloma patients. According to the embodiment of the invention, by verifying the constructed diagnosis model, it is found that the area under the ROC curve of the diagnosis model is 0.995, the sensitivity is 0.956 and thespecificity is 0.981, which indicate that the diagnosis result of the diagnosis model has high accuracy and sensitivity. The system developed by the invention is simple and easily available in required indexes, high in sensitivity, capable of noninvasively, efficiently and accurately distinguishing multiple myeloma patients from healthy people, and suitable for popularization and application.

Description

technical field [0001] The invention relates to a system developed by utilizing a multiple myeloma diagnostic model based on logistic regression in the field of biomedicine and its application. Background technique [0002] Multiple myeloma (MM) is a plasma cell malignancy, one of the most common hematological malignancies, characterized by the clonal proliferation of plasma cells in the bone marrow, which secrete monoclonal immunoglobulins or fragments thereof (M protein), accompanied by clinical manifestations such as extensive osteolysis or osteoporosis, anemia, infection, and renal impairment. Due to the insidious onset of MM and various clinical symptoms, it may lead to misdiagnosis and missed diagnosis. Many patients are often diagnosed in the late stage of the disease, which may cause patients to miss the best opportunity for treatment. Although some progress has been made in the treatment of MM in recent years, its prognosis is poor and its genetic and molecular mec...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G16H50/20G01N35/00G16H50/70
CPCG16H50/20G16H50/70G01N35/00
Inventor 王清涛崔瑞芳魏星张顺利王默贾婷婷翟玉华岳育红张瑞梁玉芳
Owner BEIJING CHAOYANG HOSPITAL CAPITAL MEDICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap