Comprehensive study of community acquired Mycoplasma pneumoniae pneumonia in children in Baoding, China, 2023

Table 2 Predictive biomarkers for severe Mycoplasma pneumonia pneumonia identified by binary logistic regression analysis

Independent factors	AUC (95%CI)	Cut-off value	Sensitivity (%)	Specificity (%)	P value
Children 2-5 years old
CRP	0.574 (0.462-0.685)	20.28	37.8	0.833	0.179
LDH	0.713 (0.617-0.809)	328.5	64.9	0.728	< 0.001
PCT	0.623 (0.513-0.732)	0.175	0.568	0.693	0.025
ESR	0.454 (0.351-0.557)	14.0	0.892	0.158	0.4
FDPs	0.611 (0.504-0.719)	2.19	0.541	0.719	0.042
D-Dimer	0.654 (0.556-0.752)	0.232	0.730	0.553	0.005
CRP + LDH + PCT + ESR + FDPs + D-Dimer	0.812 (0.740-0.885)	-	0.919	0.553	< 0.001
Children 6-13 years old
NEUT	0.661 (0.616-0.706)	67.95	0.551	0.722	< 0.001
CRP	0.680 (0.634-0.725)	13.315	0.672	0.634	< 0.001
FDPs	0.731 (0.687-0.775)	2.195	0.651	0.703	< 0.001
Prothrombin time	0.592 (0.544-0.640)	13.05	0.511	0.631	< 0.001
NEUT + CRP + FDPs + prothrombin time	0.749 (0.707-0.792)	-	0.618	0.785	< 0.001

CRP: C reactive protein; ESR: Erythrocyte sedimentation rate; FDPs: Fibrin and fibrinogen degradation products; LDH: Lactate dehydrogenase; NEUT: Neutrophils; PCT: Procalcitonin; AUC: Area under the curve.