1.Analysis of risk factors for complicated parapneumonic effusion in children
Xiaojing HAO ; Shuhua AN ; Jinying LI ; Quanheng LI
Journal of Clinical Pediatrics 2016;(2):97-100
Objective To investigate the related risk factors of complicated parapneumonic effusion (CPPE) in children. Method The clinical data of 88 children with parapneumonic effusion (PPE) were retrospectively analyzed from January 2013 to April 2015. According to the treatment effect of antibiotics, CPPE group and uncomplicated parapneumonic effusion (UPPE) group were divided. The univariate analysis of clinical and laboratory parameters was performed between two groups. Then the multifactor logistic regression was performed further. The receiver operator characteristic (ROC) curve was draw. Results The univariate analysis indicated that the risk factors were the formation of loculation and serum CD3+ and CD19+ levels (Z=2.030~7.457, P<0.05). The multifactor logistic regression showed that the formation of loculation(OR=3.386, P=0.018) and serum CD19+levels (OR=4.000, P=0.009)were independent risk factors of CPPE. The area under the ROC curve (AUC) is 0.707, which indicated that the regression model had medium diagnostic accuracy (P=0.001). Conclusion CPPE may be developed in PPE children with the serum level of CD19+>30%and the formation of loculation.
2.Clinical characteristics of pleural effusion in children withMycoplasma pneumoniae
Xiaojing HAO ; Quanheng LI ; Wenjie GAO ; Jinying LI ; Weiran DONG ; Yanyan WANG ; Shuhua AN
Journal of Clinical Pediatrics 2016;34(6):430-433
Objective To explore the clinical characteristics of pleural effusion caused byMycoplasma pneumoniae in children.MethodsThe clinical data from children with pleural effusion caused byMycoplasma pneumoniae were retrospectively analyzed. Differences of clinical characteristics in children with pleural effusion caused byMycoplasma pneumoniae infection and non-Mycoplasma pneumoniae infection were compared. Moreover, multiple logistic regression analysis was performed on the factors that were identified to have statistical differences in single factor analysis. Receiver operating characteristic (ROC) curve was performed and the diagnostic boundary value of each factor and the diagnostic accuracy of the regression model were calculated.ResultsThere were statistical differences between children with pleural effusion caused byMycoplasma pneumoniae infection and by non-Mycoplasma pneumoniae infection in age, white blood cell count, lactic dehydrogenase (LDH), levels of IgA and IgM, and the proportion of multiple nuclei, glucose and lactic acid (LAC) in pleural effusion, pleural thickening, and formation of ifbrous separation (allP?0.05). Multifactor logistic regression found the differences of age, levels of IgM and LDH, level of LAC are statistically different between the two groups (allP0.05), with their diagnostic boundary value of 3.92 years old, 1.29 g/L, 367 U/L and 4.02 mmol/L, respectively.ROC under the curve (AUC) was 0.887 (95%CI: 0.830-0.944,P0.001).ConclusionIn children having pleural effusion caused by pneumonia of unknown pathogen, if their age is?>?3.92 years, serum IgM?>?1.29 g/L, LDH?>?367 U/L and pleural effusion LAC?4.02 mmol/L, Mycoplasma pneumoniae infection should be highly suspected.