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Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
Published on: June 18, 2020
Diagnostic performance of thromboelastography and systemic inflammatory indicators in chronic glomerulonephritis: a
Mengyuan Ding1, Xuelian Huang2, Qi Xiao1
1Blood Group Reference Laboratory, Suzhou Blood Center, Suzhou, Jiangsu, China.
Thromboelastography (TEG) and systemic inflammatory markers show significant associations with chronic glomerulonephritis (CGN). These indicators, including Angle, MA, WBC, and SIRI, can serve as valuable biomarkers for CGN diagnosis.
Area of Science:
- Nephrology and Hematology
- Diagnostic Biomarkers
- Inflammation and Coagulation
Background:
- Chronic glomerulonephritis (CGN) diagnosis relies on invasive methods.
- There is a need for non-invasive, effective auxiliary diagnostic tools for CGN.
- Thromboelastography (TEG) and systemic inflammation indicators have potential as diagnostic aids.
Purpose of the Study:
- To evaluate TEG parameters and systemic inflammatory indicators as auxiliary diagnostic tools for CGN.
- To assess the clinical applicability and effectiveness of these combined markers.
- To establish reference data for future biomarker studies in CGN.
Main Methods:
- A case-control study involving 419 CGN patients and 419 healthy controls.
- TEG was used to measure coagulation function; automated analyzers measured blood indices.
- Systemic inflammation index was calculated, and associations were analyzed.
Main Results:
- CGN patients showed significantly elevated inflammatory markers (SIRI, SII, NLR, WBC) and altered coagulation parameters (increased Angle, MA; decreased K, LY30) compared to controls.
- Age, Angle, MA, LY30, WBC, and SIRI were identified as independent risk factors for CGN.
- Combining age, TEG, and inflammatory indicators achieved an AUC of 0.782 for CGN diagnosis.
Conclusions:
- TEG parameters and inflammatory indicators are significantly associated with CGN.
- These markers demonstrate potential as clinically applicable auxiliary diagnostic tools for CGN.
- The reported data and thresholds can guide future research on CGN biomarkers.
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