Objective:To explore the clinical features and risk factors for pediatric severe Mycoplasma pneumoniae pneumonia (SMPP) complicated with pulmonary embolism. Methods:SMPP patients admitted to Department of Pediatrics, Jiaxing First Hospital and Pediatric Intensive Care Unit, Shanghai Children′s Hospital from December 2019 to December 2023 were included in this retrospective case-control study.According to whether they were complicated with pulmonary embolism, SMPP patients were divided into a pulmonary embolism group and a non-pulmonary embolism group.Clinical characteristics of the two groups, including general data, laboratory examination and imaging data were compared and analyzed.The t-test and Mann-Whitney rank-sum test were used to compare the measurement data, and the χ2 test was used to compare the count data.The risk factors of SMPP patients developing pulmonary embolism were analyzed by the univariate method. Results:There were 10 out of 62 SMPP children developing pulmonary embolism, showing an incidence of 16.13%.In the pulmonary embolism group, there were 5 boys and 5 girls, with a median age of 7.50 (5.75, 9.25) years.There were 52 children in the non-pulmonary embolism group, including 29 boys and 23 girls, with a median age of 6.50(5.00, 8.00)years.The hospitalization time, body temperature, total white blood cell count, neutrophil count, C-reactive protein levels, lactate dehydrogenase levels, prothrombin time, activated partial thromboplastin time, D-dimer (D-D) levels, fibrinogen degradation product levels, pleural effusion and atelectasis rates in the pulmonary embolism group were significantly higher than those in the non-pulmonary embolism group (all P<0.05). Fibrinogen levels in the pulmonary embolism group were significantly lower than those in the non-pulmonary embolism group ( P<0.05). Univariate Logistic regression analysis showed that the D-D level was a risk factor for SMPP patient developing pulmonary embolism.The receiver operating characteristic curve analysis revealed that the D-D level had the largest area under the curve for predicting pulmonary embolism of 0.990(95% CI: 0.972-1.000, P<0.001), with a sensitivity of 100%, a specificity of 92%, and a cut-off value of 4.63 mg/L. Conclusions:SMPP children complicated with pulmonary embolism are prone to high inflammation and impaired coagulation function.The increase of D-D levels is a risk factor for the development of pulmonary embolism in SMPP.

Objective To develop a predictive model for guiding blood transfusion decisions in pediatric patients with traumatic brain injury(TBI)by identifying and analyzing key factors that influence blood transfusion requirements.Methods A retrospective analysis was conducted on the clinical data of 1,535 pediatric patients with TBI admitted to four medical institutions from January 1,2015,to December 31,2022.Patients were divided into two groups:those who received red blood cell transfusions during hospitalization and those who did not.Comparative analyses were performed on demographic,clinical,and laboratory data between these two groups.Logistic regression analysis was used to identify risk factors associated with in-hospital blood transfusion,and a predictive model was developed using a nomogram.The performance of this model was evaluated using a receiver operating characteristic(ROC)curve.Results Significant differences were observed between the blood transfusion and non-blood transfusion groups in terms of baseline demographics,clinical indicators,and laboratory test results(all P<0.05).Patients in the blood transfusion group exhibited significantly higher in-hospital mortality,compli-cation rates,use of mechanical ventilation,ICU admission rates,and length of stay compared to those in the non-blood transfusion group(all P<0.05).Multivariate logistic regression analysis identified heart rate,presence of other fractures,treatment methods,hemoglobin(Hb),platelet count(Plt),activated partial thromboplastin time(APTT),and D-dimer levels as independent risk factors for blood transfusion in TBI patients.The area under the ROC curve for the blood transfusion prediction model,based on these independent risk factors,was 0.95(95%CI:0.94～0.97),indicating excellent predictive accuracy.Calibration and decision curves further validated the robust-ness and reliability of the model's predictive capacity.Conclusions Heart rate,presence of other fractures,treatment methods,Hb,Plt count,APTT,and D-dimer levels serve as independent risk factors for blood transfusion in TBI patients.The prediction model developed based on these factors demonstrates excellent predictive performance,thereby guiding clinicians in making informed blood transfusion decisions and enhancing the success rate of patient outcomes.

Objective:To explore the clinical features and risk factors for pediatric severe Mycoplasma pneumoniae pneumonia (SMPP) complicated with pulmonary embolism. Methods:SMPP patients admitted to Department of Pediatrics, Jiaxing First Hospital and Pediatric Intensive Care Unit, Shanghai Children′s Hospital from December 2019 to December 2023 were included in this retrospective case-control study.According to whether they were complicated with pulmonary embolism, SMPP patients were divided into a pulmonary embolism group and a non-pulmonary embolism group.Clinical characteristics of the two groups, including general data, laboratory examination and imaging data were compared and analyzed.The t-test and Mann-Whitney rank-sum test were used to compare the measurement data, and the χ2 test was used to compare the count data.The risk factors of SMPP patients developing pulmonary embolism were analyzed by the univariate method. Results:There were 10 out of 62 SMPP children developing pulmonary embolism, showing an incidence of 16.13%.In the pulmonary embolism group, there were 5 boys and 5 girls, with a median age of 7.50 (5.75, 9.25) years.There were 52 children in the non-pulmonary embolism group, including 29 boys and 23 girls, with a median age of 6.50(5.00, 8.00)years.The hospitalization time, body temperature, total white blood cell count, neutrophil count, C-reactive protein levels, lactate dehydrogenase levels, prothrombin time, activated partial thromboplastin time, D-dimer (D-D) levels, fibrinogen degradation product levels, pleural effusion and atelectasis rates in the pulmonary embolism group were significantly higher than those in the non-pulmonary embolism group (all P<0.05). Fibrinogen levels in the pulmonary embolism group were significantly lower than those in the non-pulmonary embolism group ( P<0.05). Univariate Logistic regression analysis showed that the D-D level was a risk factor for SMPP patient developing pulmonary embolism.The receiver operating characteristic curve analysis revealed that the D-D level had the largest area under the curve for predicting pulmonary embolism of 0.990(95% CI: 0.972-1.000, P<0.001), with a sensitivity of 100%, a specificity of 92%, and a cut-off value of 4.63 mg/L. Conclusions:SMPP children complicated with pulmonary embolism are prone to high inflammation and impaired coagulation function.The increase of D-D levels is a risk factor for the development of pulmonary embolism in SMPP.

Objective To develop a predictive model for guiding blood transfusion decisions in pediatric patients with traumatic brain injury(TBI)by identifying and analyzing key factors that influence blood transfusion requirements.Methods A retrospective analysis was conducted on the clinical data of 1,535 pediatric patients with TBI admitted to four medical institutions from January 1,2015,to December 31,2022.Patients were divided into two groups:those who received red blood cell transfusions during hospitalization and those who did not.Comparative analyses were performed on demographic,clinical,and laboratory data between these two groups.Logistic regression analysis was used to identify risk factors associated with in-hospital blood transfusion,and a predictive model was developed using a nomogram.The performance of this model was evaluated using a receiver operating characteristic(ROC)curve.Results Significant differences were observed between the blood transfusion and non-blood transfusion groups in terms of baseline demographics,clinical indicators,and laboratory test results(all P<0.05).Patients in the blood transfusion group exhibited significantly higher in-hospital mortality,compli-cation rates,use of mechanical ventilation,ICU admission rates,and length of stay compared to those in the non-blood transfusion group(all P<0.05).Multivariate logistic regression analysis identified heart rate,presence of other fractures,treatment methods,hemoglobin(Hb),platelet count(Plt),activated partial thromboplastin time(APTT),and D-dimer levels as independent risk factors for blood transfusion in TBI patients.The area under the ROC curve for the blood transfusion prediction model,based on these independent risk factors,was 0.95(95%CI:0.94～0.97),indicating excellent predictive accuracy.Calibration and decision curves further validated the robust-ness and reliability of the model's predictive capacity.Conclusions Heart rate,presence of other fractures,treatment methods,Hb,Plt count,APTT,and D-dimer levels serve as independent risk factors for blood transfusion in TBI patients.The prediction model developed based on these factors demonstrates excellent predictive performance,thereby guiding clinicians in making informed blood transfusion decisions and enhancing the success rate of patient outcomes.

Objective:To perform textual researches on name, origin and distribution of Maidong to clarify the medicinal varieties and history recorded in ancient literatures and provide evidence for clinical use. Methods:Ancient herbal works were performed textual research, and the resource investigation and modern data were analyzed. Results:According to the ancient herbal records and modern researches, Maidong had lots of alias, while only Maimendong and Maidong were used as the medicine common names. According to the records of main origin, original plant morphological and medicinal characteristics of Maimendong, it was preliminarily concluded that Maidong recorded in the ancient herbal records was mainly produced in Jiande of Zhejiang province, Mianyang of Sichuan prov-ince, Xiangyang of Hubei province and the surrounding areas. The chemical compositions and pharmacological activities of Maidong and Shanmaidong were similar;therefore, they both could be used as the medicines. Conclusion:In the light of the ancient and mod-ern medicinal customs, modern chemistry and pharmacology researches and clinical practice of TCM, it deserves further discussion on whether Maidong and Shanmaidong can be used as multi source varieties of traditional Chinese medicines just like Polygonaceae plants palmatum L. , Rheum tanguticum Maxim, ex Balf. and Rheum officinale Baill. , and Ranunculaceae plants Coptis chinensis Franch. , Coptis deltoidea C. Y. Cheng et Hsiao and Coptisteeta Wall.