Analysis of Clinical Related Factors of Severe Mycoplasma pneumoniae Pneumonia in Children Based on Imaging Diagnosis

Clinical Value of Coagulation Function Indicators in Children with Severe Pneumonia

Objective

This study aimed to probe the changes in coagulation function-related indicators (prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), D-dimer (D-D), and fibrinogen degradation product (FDP)) in severe pneumonia and their clinical significance.

Methods

The levels of coagulation function indicators of all the children were measured within 24 hours of admission. Pearson correlation analysis was utilized to analyze the correlation between PT, APTT, FIB, D-D, FDP and PCIS in children with severe pneumonia. The ROC curve was drawn to assess the power of PT, APTT, FIB, D-D and FDP in diagnosing severe pneumonia and predicting the prognosis of severe pneumonia. A logistic regression analysis was implemented to analyze the factors influencing the prognosis of children with severe pneumonia.

Results

PT, APTT, FIB, FDP, and D-D in the critically severe pneumonia and the extremely severe pneumonia groups were higher versus the common pneumonia group (P < 0.05). FDP and D-D levels in children with severe pneumonia were negatively correlated with PCIS. PT, APTT, FIB, FDP, and D-D of children in the poor prognosis group were higher compared with those in the good prognosis group (P < 0.05). Further logistic regression analysis unveiled that FDP and APTT were influential factors impacting the prognosis of severe pneumonia.

Conclusion

The levels of D-D, FDP, FIB, APTT, and PT in severe pneumonia are increased. Detecting the contents of coagulation function indicators can help clinical judgment of the changes in the condition of severe pneumonia and evaluate prognosis.

Clinical Features and Biomarkers for Early Prediction of Refractory Mycoplasma Pneumoniae Pneumonia in Children

Objective

The study aimed to analyze the clinical characteristics of children with RMPP and to explore the biomarkers for the early prediction of RMPP, thus providing references for the clinical diagnosis and treatment of RMPP in children.

Methods

Baseline clinical characteristics, clinical symptoms, physical examination, chest imaging, and laboratory indicators between children with RMPP and general refractory mycoplasma pneumoniae pneumonia (GMPP) were compared. Multiple logistic regression analysis was used to determine independent risk factors for RMPP. ROC curves were adopted to analyze the predictive values of biomarkers.

Results

The RMPP group had more severe clinical symptoms and manifestations on imaging (including pleural effusion, pulmonary consolidation, and pulmonary atelectasis), a higher incidence of extrapulmonary complications, and a longer duration of hospital stays. Results of multiple logistic regression analysis showed that serum D-dimer (OR = 8.169, P < 0.001), C-reactive protein (CRP) (OR = 1.146, P < 0.001), and lactate dehydrogenase (LDH) (OR = 1.025, P < 0.001) levels were independent risk factors for RMPP. The area under the receiver operating characteristic curve (AUROC) in RMPP prediction was 0.841, 0.870, and 0.893 for serum levels of D-dimer, CRP, and LDH, respectively (P < 0.001), with a cutoff value of 1.47 ng/ml, 39.34 mg/L, and 379 IU/L, respectively.

Conclusions

Serum D-dimer, CRP, and LDH levels were related to the severity of mycoplasma pneumoniae pneumonia in children and had potential as biomarkers for the early prediction of RMPP, suggesting great applicative values for the early diagnosis and timely intervention of children with RMPP in clinical practice.

Retracted: Analysis of Clinical Related Factors of Severe Mycoplasma pneumoniae Pneumonia in Children Based on Imaging Diagnosis

[This retracts the article DOI: 10.1155/2022/4852131.].