Pneumonia is a major threat to the health of children. Mycoplasma pneumoniae infection is a core cause of pediatric pneumonia, and the incidence of severe mycoplasma pneumoniae pneumonia (SMPP) has increased in recent years. SMPP leads to a range of extrapulmonary symptoms, including myocardial and liver injury, which may be life-threatening. Therefore, there is an urgent need to establish an early warning model for SMPP to improve the prognosis of pediatric pneumonia. This observational study aims to establish a early prediction model of SMPP. Development cohorts are enrolled from Beijing Friendship Hospital between 2018-1-1 to 2024-5-31, and validation cohorts are enrolled between 2024-6-1 to 2025-6-30.
Study Type
OBSERVATIONAL
Enrollment
964
medical history taking, blood test, pulmonary ultrasound are used for MPP and SMPP diagnosis
Beijing Friendship Hospital
Beijing, Beijing Municipality, China
Area under the curve (AUC)
The AUC of prediction model for SMPP
Time frame: through the hospitalization, an average of 7 days
Sensitivity
The sensitivity of prediction model for SMPP
Time frame: through the hospitalization, an average of 7 days
Specificity
Specificity of prediction model for SMPP
Time frame: through the hospitalization, an average of 7 days
Positive prediction value (PPV)
Positive prediction value (PPV) of prediction model for SMPP
Time frame: through the hospitalization, an average of 7 days
Negative prediction value (NPV)
Negative prediction value (NPV) of prediction model for SMPP
Time frame: through the hospitalization, an average of 7 days
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.