To guide clinical blood transfusion practices for pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Blood transfusion is one of the most commonly used supportive treatments for children with hematological diseases. This guideline provides guidance and recommendations for blood transfusions in children with aplastic anemia, thalassemia, autoimmune hemolytic anemia, glucose-6-phosphate dehydrogenase deficiency, acute leukemia, myelodysplastic syndromes, immune thrombocytopenic purpura, and thrombotic thrombocytopenic purpura. This article presents the evidence and interpretation of the blood transfusion provisions for children with hematological diseases in the "Guideline for pediatric transfusion", aiming to assist in the understanding and implementing the blood transfusion section of this guideline.
Humans ; Child ; Hematologic Diseases/therapy* ; Blood Transfusion/standards* ; Practice Guidelines as Topic

To guide clinical blood transfusion practices for pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Blood transfusion for children undergoing hematopoietic stem cell transplantation is highly complex and challenging. This guideline provides recommendations on transfusion thresholds and the selection of blood components for these children. This article presents the evidence and interpretation of the transfusion provisions for children undergoing hematopoietic stem cell transplantation, with the aim of enhancing the understanding and implementation of the "Guideline for pediatric transfusion".
Humans ; Hematopoietic Stem Cell Transplantation ; Child ; Blood Transfusion/standards* ; Practice Guidelines as Topic

To guide clinical blood transfusion practices for pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Critically ill children often present with anemia and have a higher demand for transfusions compared to other pediatric patients. This guideline provides guidance and recommendations for blood transfusions in cases of general critical illness, septic shock, acute brain injury, extracorporeal membrane oxygenation, non-life-threatening bleeding, and hemorrhagic shock. This article interprets the background and evidence of the blood transfusion provisions for critically ill and severely bleeding children in the "Guideline for pediatric transfusion", aiming to enhance understanding and implementation of this aspect of the guidelines. Citation:Chinese Journal of Contemporary Pediatrics, 2025, 27(4): 395-403.
Humans ; Critical Illness ; Blood Transfusion/standards* ; Child ; Hemorrhage/therapy* ; Practice Guidelines as Topic

To guide clinical blood transfusion practices in pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Children undergoing cardiac surgery are at high risk of bleeding, and the causes of perioperative anemia and coagulation disorders in neonates and children are complex and varied, often necessitating the transfusion of allogeneic blood components. This guideline provides direction and recommendations for specific measures in blood management for children undergoing cardiac surgery before, during, and after surgery. This article interprets the background and evidence for the formulation of the blood transfusion provisions for children undergoing cardiac surgery, hoping to facilitate the understanding and implementation of this guideline.
Humans ; Cardiac Surgical Procedures ; Blood Transfusion/standards* ; Child ; Practice Guidelines as Topic

Objective:To analyze the colonization rate and molecular types of Staphylococcus aureus (SA) on the tracheotomy wounds of neonates at early postoperative stage in neonatal intensive care unit (NICU). Methods:This was a case series study. Patients who were admitted and underwent tracheotomy in NICU of Beijing Children′s Hospital, Capital Medical University from January 1 st 2020 to December 31 st 2023 were enrolled. Swabs on the skin around the incision or on the nasal mucosa were collected and cultured at 24, 72 and 168 h after operation. Coagulase test and Staphytect Plus kits were used for SA identification. The nuc gene amplification and molecular types of SA were assessed by PCR. The patients were divided into SA colonization group and non-colonization group based on the presence or absence of SA colonization, and into infection group and non-infection group based on the presence or absence of infection. Demographic data, hospitalization information, colonization and infection status of SA were collected from the digital medical record system of the hospital. Differences between groups were analyzed using the independent sample t test or Fisher exact test. Results:Totally 19 patients were enrolled, among whom 13 were male. The gestation age was 39.0 (38.1, 40.0) weeks, and the birth weight was 3 150 (2 600, 3 400) g. Tracheotomy was done at 8.2(4.1, 19.6) days after diagnosis and indication confirmed. Corrected gestational age of patients on the operation day was 43.6 (42.2, 45.4) weeks. The NICU stay time was (34.0±3.1) days. SA colonization was confirmed around the incision of 8 patients. Out of the 18 strains of colonized bacteria, 10 were methicillin-resistant Staphylococcus aureus (MRSA). The most common molecular type of MRSA was ST59-SCCmec Ⅳ-t437 strain (8 strains). A total of 10 patients presented typical clinical manifestations of bacterial infection at the lungs, 3 patients in the blood stream and 2 patients in the central nervous system. Among 10 patients with bacterial infection, 3 patients were MRSA positive by boby fluid culture and affected by the ST59-SCCmec Ⅳ-t437 strain. The infection rate was different between patients with or without SA colonization on the tracheotomy incision (7/8 vs. 3/11, P=0.020). Conclusions:The colonization rate and infection rate were high on the tracheotomy incision in neonates. The major type was MRSA, and the most common molecular strain was ST59-SCCmec Ⅳ-t437 .

Objective:To explore and model risk factors in patients with major adverse cardiovascular events (MACEs) after acute type A aortic dissection (ATAAD), and to develop and validate a personalized machine learning model to assess risk factors and predict MACEs in these patients.Methods:Clinical data of patients who attended Beijing Anzhen Hospital and underwent surgical treatment for ATAAD from January 2018 to October 2022 were retrospectively analyzed. Using MACEs as the endpoint, 70% of these patients were randomly divided into the training set and the remaining 30% into the validation set. LASSO regression was applied to explore key clinical variables in the training set. The optimal predictive model was selected from nine machine learning algorithms based on area under the curve. And Shapley Additive explanations was used to elucidate the predictive model. Results:Of the 481 patients included in this study, 135 (35.6%) patients experienced an endpoint event. By combining the results of the training and validation sets, when assessing the validity of the single model with the highest predictive accuracy for the outcome, it was shown that the logistic model (0.774, 95% CI: 0.717-0.830) was the most effective in the combined effect and had a high model accuracy (0.743, 95% CI: 0.720-0.766). According to the results of the LASSO, the factors most associated with postoperative MACEs were history of cerebrovascular disease, coronary artery involvement, shock status on admission to the operating room, FDP, PLT, CPB, ascending aortic clamping, and age. Conclusion:In this study, nine machine learning models were developed to predict the occurrence of postoperative MACEs in patients with acute type A aortic dissection. The logistic model performed significantly better compared to other algorithms. Our study successfully predicted postoperative MACES and identified the factors most associated with MACEs.

Objective:To analyze the colonization rate and molecular types of Staphylococcus aureus (SA) on the tracheotomy wounds of neonates at early postoperative stage in neonatal intensive care unit (NICU). Methods:This was a case series study. Patients who were admitted and underwent tracheotomy in NICU of Beijing Children′s Hospital, Capital Medical University from January 1 st 2020 to December 31 st 2023 were enrolled. Swabs on the skin around the incision or on the nasal mucosa were collected and cultured at 24, 72 and 168 h after operation. Coagulase test and Staphytect Plus kits were used for SA identification. The nuc gene amplification and molecular types of SA were assessed by PCR. The patients were divided into SA colonization group and non-colonization group based on the presence or absence of SA colonization, and into infection group and non-infection group based on the presence or absence of infection. Demographic data, hospitalization information, colonization and infection status of SA were collected from the digital medical record system of the hospital. Differences between groups were analyzed using the independent sample t test or Fisher exact test. Results:Totally 19 patients were enrolled, among whom 13 were male. The gestation age was 39.0 (38.1, 40.0) weeks, and the birth weight was 3 150 (2 600, 3 400) g. Tracheotomy was done at 8.2 (4.1, 19.6) days after diagnosis and indication confirmed. Corrected gestational age of patients on the operation day was 43.6 (42.2, 45.4) weeks. The NICU stay time was (34.0±3.1) days. SA colonization was confirmed around the incision of 8 patients. Out of the 18 strains of colonized bacteria, 10 were methicillin-resistant Staphylococcus aureus (MRSA). The most common molecular type of MRSA was ST59-SCCmec Ⅳ-t437 strain (8 strains). A total of 10 patients presented typical clinical manifestations of bacterial infection at the lungs, 3 patients in the blood stream and 2 patients in the central nervous system. Among 10 patients with bacterial infection, 3 patients were MRSA positive by boby fluid culture and affected by the ST59-SCCmec Ⅳ-t437 strain. The infection rate was different between patients with or without SA colonization on the tracheotomy incision (7/8 vs. 3/11, P=0.020). Conclusions:The colonization rate and infection rate are high on the tracheotomy incision in neonates. The major type is MRSA, and the most common molecular strain is ST59-SCCmec Ⅳ-t437 .

Objective:To analyze the colonization rate and molecular types of Staphylococcus aureus (SA) on the tracheotomy wounds of neonates at early postoperative stage in neonatal intensive care unit (NICU). Methods:This was a case series study. Patients who were admitted and underwent tracheotomy in NICU of Beijing Children′s Hospital, Capital Medical University from January 1 st 2020 to December 31 st 2023 were enrolled. Swabs on the skin around the incision or on the nasal mucosa were collected and cultured at 24, 72 and 168 h after operation. Coagulase test and Staphytect Plus kits were used for SA identification. The nuc gene amplification and molecular types of SA were assessed by PCR. The patients were divided into SA colonization group and non-colonization group based on the presence or absence of SA colonization, and into infection group and non-infection group based on the presence or absence of infection. Demographic data, hospitalization information, colonization and infection status of SA were collected from the digital medical record system of the hospital. Differences between groups were analyzed using the independent sample t test or Fisher exact test. Results:Totally 19 patients were enrolled, among whom 13 were male. The gestation age was 39.0 (38.1, 40.0) weeks, and the birth weight was 3 150 (2 600, 3 400) g. Tracheotomy was done at 8.2(4.1, 19.6) days after diagnosis and indication confirmed. Corrected gestational age of patients on the operation day was 43.6 (42.2, 45.4) weeks. The NICU stay time was (34.0±3.1) days. SA colonization was confirmed around the incision of 8 patients. Out of the 18 strains of colonized bacteria, 10 were methicillin-resistant Staphylococcus aureus (MRSA). The most common molecular type of MRSA was ST59-SCCmec Ⅳ-t437 strain (8 strains). A total of 10 patients presented typical clinical manifestations of bacterial infection at the lungs, 3 patients in the blood stream and 2 patients in the central nervous system. Among 10 patients with bacterial infection, 3 patients were MRSA positive by boby fluid culture and affected by the ST59-SCCmec Ⅳ-t437 strain. The infection rate was different between patients with or without SA colonization on the tracheotomy incision (7/8 vs. 3/11, P=0.020). Conclusions:The colonization rate and infection rate were high on the tracheotomy incision in neonates. The major type was MRSA, and the most common molecular strain was ST59-SCCmec Ⅳ-t437 .

Objective:To analyze the colonization rate and molecular types of Staphylococcus aureus (SA) on the tracheotomy wounds of neonates at early postoperative stage in neonatal intensive care unit (NICU). Methods:This was a case series study. Patients who were admitted and underwent tracheotomy in NICU of Beijing Children′s Hospital, Capital Medical University from January 1 st 2020 to December 31 st 2023 were enrolled. Swabs on the skin around the incision or on the nasal mucosa were collected and cultured at 24, 72 and 168 h after operation. Coagulase test and Staphytect Plus kits were used for SA identification. The nuc gene amplification and molecular types of SA were assessed by PCR. The patients were divided into SA colonization group and non-colonization group based on the presence or absence of SA colonization, and into infection group and non-infection group based on the presence or absence of infection. Demographic data, hospitalization information, colonization and infection status of SA were collected from the digital medical record system of the hospital. Differences between groups were analyzed using the independent sample t test or Fisher exact test. Results:Totally 19 patients were enrolled, among whom 13 were male. The gestation age was 39.0 (38.1, 40.0) weeks, and the birth weight was 3 150 (2 600, 3 400) g. Tracheotomy was done at 8.2 (4.1, 19.6) days after diagnosis and indication confirmed. Corrected gestational age of patients on the operation day was 43.6 (42.2, 45.4) weeks. The NICU stay time was (34.0±3.1) days. SA colonization was confirmed around the incision of 8 patients. Out of the 18 strains of colonized bacteria, 10 were methicillin-resistant Staphylococcus aureus (MRSA). The most common molecular type of MRSA was ST59-SCCmec Ⅳ-t437 strain (8 strains). A total of 10 patients presented typical clinical manifestations of bacterial infection at the lungs, 3 patients in the blood stream and 2 patients in the central nervous system. Among 10 patients with bacterial infection, 3 patients were MRSA positive by boby fluid culture and affected by the ST59-SCCmec Ⅳ-t437 strain. The infection rate was different between patients with or without SA colonization on the tracheotomy incision (7/8 vs. 3/11, P=0.020). Conclusions:The colonization rate and infection rate are high on the tracheotomy incision in neonates. The major type is MRSA, and the most common molecular strain is ST59-SCCmec Ⅳ-t437 .

Objective:To explore and model risk factors in patients with major adverse cardiovascular events (MACEs) after acute type A aortic dissection (ATAAD), and to develop and validate a personalized machine learning model to assess risk factors and predict MACEs in these patients.Methods:Clinical data of patients who attended Beijing Anzhen Hospital and underwent surgical treatment for ATAAD from January 2018 to October 2022 were retrospectively analyzed. Using MACEs as the endpoint, 70% of these patients were randomly divided into the training set and the remaining 30% into the validation set. LASSO regression was applied to explore key clinical variables in the training set. The optimal predictive model was selected from nine machine learning algorithms based on area under the curve. And Shapley Additive explanations was used to elucidate the predictive model. Results:Of the 481 patients included in this study, 135 (35.6%) patients experienced an endpoint event. By combining the results of the training and validation sets, when assessing the validity of the single model with the highest predictive accuracy for the outcome, it was shown that the logistic model (0.774, 95% CI: 0.717-0.830) was the most effective in the combined effect and had a high model accuracy (0.743, 95% CI: 0.720-0.766). According to the results of the LASSO, the factors most associated with postoperative MACEs were history of cerebrovascular disease, coronary artery involvement, shock status on admission to the operating room, FDP, PLT, CPB, ascending aortic clamping, and age. Conclusion:In this study, nine machine learning models were developed to predict the occurrence of postoperative MACEs in patients with acute type A aortic dissection. The logistic model performed significantly better compared to other algorithms. Our study successfully predicted postoperative MACES and identified the factors most associated with MACEs.