Analysis on relationship between clinical characteristics, disease influencing factors and pediatric critical illness score in children with severe mycoplasma pneumoniae pneumonia
ObjectiveTo investigate the relationship between clinical characteristics, disease influencing factors and pediatric critical illness score (PCIS) in children with severe mycoplasma pneumoniae pneumonia(MPP). MethodsA total of 116 children with severe MPP admitted to our hospital from January 2016 to December 2018 were selected as the research subjects and divided into non-critical group (>80 points), critical group (70-80 points), and extremely critical group (<70 points) according to PCIS. The gender, age, laboratory test indicators, co-infection condition, electrocardiography manifestation etc. were compared between the three groups. Multivariate logistic regression analysis was used to identify risk factors affecting the severity of disease. Spearman correlation analysis was performed on the relationship between the PCIS and D-dimer level, co-infected with two or more pathogens, and prealbumin (PA) level. ResultsThere were statistically significant differences in co-infected with two or more pathogens, disease course>12 d, complicated with two or more systematic damages, D-dimer level, alanine aminotransferase level, and PA level between the three groups (P<0.05). Multivariate logistic regression analysis results showed that patients co-infected with two or more pathogens, disease course>12 days, abnormal D-dimer and alanine aminotransferase levels, as well as decreased PA level were the risk factors for critical children with severe MPP. Spearman correlation analysis results showed that the PCIS was positively correlated with D-dimer level and co-infected with two or more pathogens in children with MPP (r=0.352, P<0.05; r=0.384, P<0.05), whereas the PCIS was negatively correlated with PA level (r=-0.319, P<0.05). ConclusionChildren with severe MPP often co-infect with two or more pathogens, PA and D-dimer levels were closely correlated with PCIS, and thus these crucial indicators can be used to determine the disease severity.