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Published on: September 7, 2022
A Nomogram Model to Predict the Risk of Concurrent Liver Injury in Pediatric Patients with Infectious Mononucleosis
A new nomogram effectively predicts liver injury in children with infectious mononucleosis (IM). This tool aids early risk identification for better outcomes in pediatric IM patients.
Area of Science:
- Pediatric Infectious Diseases
- Hepatology
- Clinical Prediction Modeling
Background:
- Infectious mononucleosis (IM), caused by Epstein-Barr virus (EBV), frequently affects children and can lead to liver injury.
- Early identification of liver injury risk in pediatric IM is critical for timely intervention and improved prognosis.
Purpose of the Study:
- To develop and validate a nomogram model for predicting the risk of concurrent liver injury in pediatric patients diagnosed with IM.
- To identify independent risk factors associated with liver injury in children with IM.
Main Methods:
- A retrospective study of 202 pediatric IM patients, divided into liver injury (ALT > 50 U/L) and control (ALT < 50 U/L) groups.
- Multivariable logistic regression analysis to identify independent risk factors.
- Construction and validation of a nomogram prediction model using identified risk factors.
Main Results:
- The incidence of liver injury in pediatric IM patients was 57.42%.
- Independent risk factors for liver injury included platelet distribution width (PDW), uric acid (UA), beta2-microglobulin (β2-MG), atypical lymphocytes, and interleukin-6 (IL-6).
- The nomogram demonstrated high predictive accuracy (C-index: 0.942, AUC: 0.960) and clinical utility.
Conclusions:
- The developed nomogram model is effective in predicting the risk of concurrent liver injury in pediatric patients with IM.
- This predictive tool can aid clinicians in managing pediatric IM cases with potential liver complications.
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