Taking Kunming Medical University as an example, we explore the mechanism for the separation and coordination of supervision, management, and evaluation, establish and implement a course quality rating system, and strengthen the course quality evaluation. The course quality rating system mainly consists of merit evaluation for courses of grades A and B and admittance evaluation for courses of grades C and D. Through the course quality rating, courses are diagnosed and compared, with the aim to improve course connotation construction (labeling, setting an example, promoting excellent courses, and removing inferior courses), achieve "good pay for good courses", encourage the faculty to strengthen curriculum quality, and measure ourselves with our own ruler. We discussed the problems about the difference in evaluation indicators, the professionality of evaluators, and the incentive effect of evaluation results, and also proposed strategies for improving course quality rating in medical colleges from the perspectives of deepening the content of evaluation indices, ensuring the effectiveness after evaluation, and ascertaining the main body of course construction in daily work.

Sepsis is a common critical illness in pediatric intensive care unit,and its prognosis assessment has always been a challenge in pediatric critical care researches.In 2016,Sepsis 3.0 defined as life-threatening organ dysfunction caused by a dysregulated host response to infection.The diagnostic criteria were revised to include a sequential organ failure assessment (SOFA) score increase ≥2 points from baseline in infected/suspected infected patients.However,aforementioned guidelines primarily focus on adults.Considering the unique physiological characteristics of children,the pediatric sequential organ failure assessment (pSOFA) was developed.Currently,the definition of pediatric sepsis has not been updated to include organ dysfunction,and the use of the pSOFA score is not widespread.This review introduced the background,content,and application of the pSOFA score,and compared it with other scoring systems to determine its advantages and application range in prognosis assessment.Finally,it summarized the value of pSOFA score in the prognosis assessment of pediatric sepsis,aiming to provide references for clinical applications.

Sepsis is the organ dysfunction caused by infection.It is one of the most common critical diseases in clinic.Its morbidity and mortality are increasing year by year，which has seriously threatened human health.Innate immunity is the first line of defense against pathogens.Nature killer（NK）cells are important cells involved in the regulation of innate immunity in sepsis，and can play an important role on the progression of sepsis by secreting cytokines，inducing apoptosis and mediating cytotoxic effects.It has been found that the changes of NK cells in the early stage of sepsis are related to the prognosis of the disease.Therefore，further study on the role of NK cells in sepsis can provide a new idea for the clinical diagnosis and treatment of sepsis，and contribute to the early identification of sepsis and the improvement of prognosis.This review summarized the role and changes of NK cell in sepsis.

Objective:To explore the clinical characteristics of children with septic shock and analyze the drug resistance of blood culture positive bacteria.Methods:The clinical data,positive blood culture strains and drug sensitivity results of 127 children with septic shock admitted to the Department of Intensive Care Medicine of Hunan Children's Hospital from September 2015 to August 2021 were retrospectively analyzed.Results:A total of 134 strains of bacteria or fungi were isolated from the blood culture samples of 127 children with septic shock,and gram-negative strains were the main ones,accounting for 67.16% (90/134).Haemophilus influenzae and Escherichia coli were the main gram-negative bacteria,accounting for 38.81% (52/134) and 20.15% (27/134)，respectively,while Streptococcus pneumoniae was the main gram-positive bacteria,accounting for 8.21% (11/134),and Candida albicans was the main fungus,accounting for 10.45% (14/134).The number of white blood cells,the levels of serum C-reactive protein,procalcitonin,venous blood sugar and arterial blood lactic acid in patients were all significantly higher than normal values,and the white blood cells count and neutrophil percentage in gram-positive bacterial infections were significantly higher than those with gram-negative bacterial infections and fungal infections( P<0.05).Procalcitonin increased most obviously when infected by gram-negative bacteria,and the difference was statistically significant ( P<0.05).Gram-positive strains were sensitive to vancomycin,teicoplanin,and linezolid,but only 50% of Streptococcus pneumoniae were sensitive to penicillin.Gram-negative strains had relatively high drug resistance,among which Klebsiella pneumoniae were only highly resistant to imipenem,cilastatin and levofloxacin,reaching 50%.Haemophilus influenzae was resistant to cephalosporins and β-amides enzyme antibiotic,and the drug sensitivity rate of lactamase antibiotics was high,with a resistance rate of 50% only to ampicillin,cefuroxime,amikacin,and compound sulfamethoxazole.There were not many fungal strains,and most antifungal drugs were effective against blood culture-positive fungi. Conclusion:The main pathogens of infection in children with septic shock are gram-negative bacteria,and have high resistance to general antibiotics.We should pay attention to their drug resistance when using antibiotics empirically.

Objective:To investigate the value of the ratio of heparin binding protein (HBP) to albumin (ALB) in diagnosis and predict the severity of Kawasaki disease shock syndrome (KDSS).Methods:This study was a retrospective study. Pediatric patients with Kawasaki disease (KD) admitted to the Children's Intensive Care Unit and department of Pediatric Emergency Center of Hunan Children's Hospital from January 2019 to May 2022 were enrolled. The HBP/ALB ratio was calculated according to HBP and serum ALB. The children were divided into three groups (low, medium, and high ratio groups) according to the median and upper and lower quartiles of the HBP/ALB ratio. The differences of each index among the three groups were compared. The receiver operating characteristic curves were drawn to evaluate the clinical value of the HBP/ALB ratio in diagnosis of KDSS and the severity of the disease.Results:A total of 111 cases were included in this study, including 28 cases in the low ratio group, 56 cases in the medium ratio group, and 27 cases in the high ratio group. There were 24 cases with coronary artery damage, 87 cases without coronary artery damage, 27 cases with abnormal ECG findings, and 17 children with KDSS (including 5 cases in the medium ratio group, and 12 cases in the high ratio group). The incidence of KDSS, coronary involvement, and abnormal electrocardiogram proportions in the high ratio group were significantly higher than those in the other two groups. Compared with low and medium ratio groups, the levels of cardiac troponin I, N-terminal pro-brain natriuretic peptide, lactate, stroke output variation, trends in thoracic fluid content, white blood cell count, C-reactive protein, procalcitonin, and D-dimer levels were higher in the high ratio group, while ALB and blood sodium levels were lower in the high ratio group (all P<0.05). There was no significant difference in above indicators between the low and medium ratio groups (all P>0.05). The HBP/ALB ratio had a higher area under the curve, sensitivity, and specificity (0.942, 0.882, and 0.883, respectively) in predicting KDSS compared to HBP alone (0.776, 0.842, and 0.670, respectively). Conclusion:The HBP/ALB ratio could reflect the severity of children with KD and has certain clinical value for prognostic evaluation.

Objective:To construct a risk prediction model for the inter-hospital transfer of critically ill children using machine learning methods, identify key medical features affecting transfer outcomes, and improve the success rate of transfers.Methods:A prospective study was conducted on critically ill children admitted to the pediatric transfer center of Hunan Children's Hospital from January 2020 to January 2021. Medical data on critical care features and relevant data from the Pediatric Risk of Mortality (PRISMⅢ) scoring system were collected and processed. Three machine learning models, including logistic regression, decision tree, and Relief algorithm, were used to construct the risk prediction model. A back propagation neural network was employed to build a referral outcome prediction model to verify and analyze the selected medical features from the risk prediction model, exploring the key medical features influencing inter-hospital transfer risk.Results:Among the 549 transferred children included in the study, 222 were neonates (40.44%) and 327 were non-neonates (59.56%). There were 50 children in-hospital deaths, resulting in a mortality rate of 9.11%. After processing 151 critical care medical feature data points, each model selected the top 15 important features influencing transfer outcomes, with a total of 34 selected features. The decision tree model had an overlap of 72.7% with PRISMⅢ indicators, higher than logistic regression (36.4%) and Relief algorithm (27.3%). The training prediction accuracy of the decision tree model was 0.94, higher than the accuracy of 0.90 when including all features, indicating its clinical utility. Among the top 15 important features selected by the decision tree model, the impact on transfer outcomes was ranked as follows based on quantitative feature violin plots: base excess, total bilirubin, ionized calcium, total time, arterial oxygen pressure, blood parameters (including white blood cells, platelets, prothrombin time/activated partial thromboplastin time), carbon dioxide pressure, blood glucose, systolic blood pressure, heart rate, organ failure, lactate, capillary refill time, temperature, and cyanosis. Eight of these important features overlapped with PRISMⅢ indicators, including systolic blood pressure, heart rate, temperature, pupillary reflex, consciousness, acidosis, arterial oxygen pressure, carbon dioxide pressure, blood parameters, and blood glucose. The decision tree was used to select the top 15 medical features with high impact on the neonatal and non-neonatal datasets, respectively. A total of 19 features were selected, among which there were 8 differences and 11 overlap terms between the important features of the neonatal and non-neonatal.Conclusions:Machine learning models could serve as reliable tools for predicting the risk of inter-hospital transfer of critically ill children. The decision tree model exhibits superior performance and helps identify key medical features affecting inter-hospital transfer risk, thereby improving the success rate of inter-hospital transfers for critically ill children.

Objective:To explore the clinical value of serum insulin combined with cardiac-related markers in evaluating the severity of sepsis associated encephalopathy (SAE).Methods:The clinical data of 130 children with sepsis who admitted to the Pediatric Intensive Care Unit of Hunan Children's Hospital from January 2018 to December 2021 were analyzed retrospectively, and the differences of serum insulin and cardiac-related markers in children with sepsis and SAE were compared.Results:The levels of serum insulin, creatine kinase isoenzyme, hypersensitive troponin T, and N-terminal cerebral urine peptide in the SAE group were significantly higher than those in the non-SAE group ( P<0.05), but there was no significant difference in heart rate and lactic acid ( P>0.05). The levels of serum insulin, creatine kinase isoenzyme, hypersensitive troponin T, N-terminal cerebral urine peptide and lactic acid in the death group were significantly higher than those in the survival group ( P<0.05), while the heart rate was not significantly different ( P>0.05). The area under ROC curve of serum insulin, creatine kinase isoenzyme, hypersensitive troponin T, and N-terminal cerebral urine peptide in predicting SAE were 0.841, 0.599, 0.700, and 0.667, respectively; in terms of judging the prognosis of sepsis, the area under ROC curve were 0.647, 0.669, 0.645, and 0.683, respectively; and in terms of judging the prognosis of children with SAE, the areas under the ROC curve were 0.509, 0.682, 0.666 and 0.555, respectively. Binary logistic regression equation was established with serum insulin, creatine kinase isoenzyme, hypersensitive troponin T, and N-terminal cerebral urine peptide: Y=8.153×NT-proBNP+1.704×CTnT-hs+27.121×insulin+0.946×CK-MB+1.573. The area under the ROC curve of the new variable Y in predicting sepsis SAE, evaluating the prognosis of sepsis, and predicting the prognosis of children with sepsis and SAE was 0.890, 0.756, and 0.729, respectively. Conclusions:Serum insulin, creatine kinase isoenzyme, hypersensitive troponin T, and N-terminal cerebral urine peptide can be used alone to determine the severity of sepsis and sepsis in children with SAE. The combined value of the four indicators is obviously better than that of the single indicator. The combined application of the four indicators may better evaluate the severity of sepsis and SAE.

Objective:To investigate the predictive value of sputum heparin binding protein(HBP) in sepsis related acute respiratory distress syndrome(ARDS).Methods:This study was a prospective case-control study.A total of 134 children with sepsis who were admitted in PICU at Hunan Children′s Hospital from January 2020 to November 2021 were included, including 63 children who had completed fiberoptic bronchoscopy.The 63 children were divided into sepsis without ARDS group, sepsis with mild ARDS group, and sepsis with moderate to severe ARDS group according to the presence and severity of ARDS.Sputum was collected and HBP was detected in all children with sepsis when they were admitted to the hospital.The alveolar lavage fluid within 72 hours of admission was reserved for HBP.The levels of interleukin (IL)-6 and tumor necrosis factor (TNF)- α were detected, and the blood biochemistry, pulmonary imaging, pediatric critical case score and other data within 72 hours were collected.Results:(1) Among 63 children with fiberoptic bronchoscopy, 29 were in sepsis without ARDS group, 18 were in the sepsis with mild ARDS group, and 16 were in the sepsis with moderate to severe ARDS group.There was no significant difference in the pediatric critical case score and the location of primary infection focus among the three groups at admission.The primary infection focus was respiratory system in 36 cases, whose sputum HBP level was (42.1±9.8) ng/mL, and 27 children with other systems infection, whose sputum HBP level was (37.8±10.8) ng/mL, there was no significant difference between two groups ( t=1.65, P=0.104). (2) There were significant differences in sputum HBP, alveolar lavage fluid HBP, IL-6 and TNF-α levels among sepsis with mild ARDS group, sepsis with moderate and severe ARDS group and sepsis without ARDS group ( P<0.05). The sputum HBP of 34 children with sepsis combined with ARDS was positively correlated with alveolar lavage fluid HBP, IL-6, TNF-α levels and lung injury score, and negatively correlated with SpO 2/FiO 2 ( P<0.05). (3)Among the 34 children with sepsis combined with ARDS, the sputum HBP concentration of children with invasive ventilation was significantly higher than that of children with non-invasive ventilation ( P<0.05). The sputum HBP concentration in children with three or more organ damage was significantly higher than that of children with two or less organ damage ( P<0.05). The sputum HBP concentration of dead children was higher than that of surviving children ( P<0.05). (4) The area under curve of sputum HBP for predicting ARDS was 0.772 (95% CI: 0.655~0.889). When the cut-off point value of sputum HBP was 27.9 mU/L, whose sensitivity and specificity were 70.6% and 79.3%, respectively.The area under curve of sputum HBP for predicting moderate and severe ARDS was 0.793 (95% CI: 0.661~0.926). When the cut-off point value of sputum HBP was 51.55 mU/L, whose sensitivity and specificity were 81.3% and 76.6%, respectively. Conclusion:Sputum HBP is elevated in children with sepsis and ARDS, which is related with the severity of the disease.Sputum HBP has a good predictive value for the diagnosis and severity of children with sepsis and ARDS, and can be used as a clinically effective and convenient evaluation index for children with sepsis related ARDS.

Objective:To study the risk factors and prognosis of pulmonary hypertension(PH) associated with bronchopulmonary dysplasia (BPD) in extremely preterm infants(EPIs).Methods:From January 2020 to December 2021, EPIs [gestational age (GA) <32 w] with BPD admitted to NICU of our hospital were retrospectively assigned into two groups: BPD with late-onset PH(PH group) and BPD without late-onset PH(non-PH group). Their general condition, treatment and prognosis were compared and the risk factors of late-onset PH were analyzed.Results:A total of 229 EPIs with BPD were enrolled, including 24(10.5%) in the PH group and 205(89.5%) in the non-PH group. The PH group had significantly smaller GA [(27.9±2.3) w vs. (28.7±1.8) w], longer mechanical ventilation [42.0(16.0, 84.0) d vs. 9.0(2.0, 23.0) d], longer hospital stay [100.5(86.3, 142.0) d vs. 77.0(56.5, 96.5)d],higher incidence of early-onset PH(54.2% vs. 9.3%) and higher mortality rate(33.3% vs. 9.8%) than the non-PH group ( P<0.05). Multivariate logistic regression analysis showed prolonged mechanical ventilation ( OR=1.046, 95% CI 1.011~1.064), early-onset PH ( OR=5.414, 95% CI 1.796~16.323) were independent risk factors for BPD with late-onset PH. 8(33.3%) patients in the PH group died, including 2 with grade Ⅱ BPD and 6 grade Ⅲ BPD. Conclusions:Prolonged mechanical ventilation and early-onset PH are independent risk factors for late-onset PH in BPD infants. BPD infants with late-onset PH have longer hospital stay, higher mortality and worse prognosis.

Objective:To analyze the characteristics of child cases admitted to accidental injury and provide reliable basis for the prevention of accidental injury.Methods:The clinical data of children admitted to Hunan Children′s Hospital aged 0-18 due to accidental injuries from January 1, 2018 to December 31, 2021 were retrospectively analyzed. The type of accidental injury and characteristic factors such as prognosis, gender, age, time, and location of the child were analyzed.Results:A total of 9 049 children with accidental injury were admitted, accounting for 3.72%(9 049/33 697) of the total number of hospitalized children. The top three types of accidental injuries were falls/drop (3 695 cases), foreign bodies/suffocation (2 639 cases) and traffic accidents (1 165 cases), accounting for 82.87%(7 499/9 049). There were 8 760 cases (96.81%) of improvement and recovery, 178 cases (1.97%) of disability, and 111 cases (1.23%) of unhealed/dead. Among the accidental injuries, 5 833 cases (64.46%) were boys and 3 216 cases (35.54%) were girls, and the incidence ratio was 1.81∶1. There was significant difference between boys and girls in the composition ratio of the type of accidental injury such as falls/falls, foreign bodies/suffocation, poisoning, sharp object injury, drowning ( χ2 values were 3.90-20.56, all P<0.05). Among the accidental injuries, the children aged 1 to<3 years had higher accidental injuries than the other age groups (3 263 cases, accounting for 36.06%), and the composition ratio of accidental injuries in different age groups was different ( χ2 values were 12.98-573.97, all P<0.05). Among the accidental injuries, the accidental injuries occurred in the second quarter and the third quarter were higher than those in the other two quarters (4 892 cases, accounting for 54.06%), and the composition ratio of accidental injuries such as falls/falls, foreign bodies/suffocation, burn and scald, drowning occurred in different quarters was different ( χ2 values were 10.79-18.88, all P<0.05). In the case of accidental injuries, the family was the most likely place of accidental injury, with different types of accidental injuries occurring in different places ( χ2 values were 10.08-2 186.54, all P<0.05). Conclusions:Children′s unintentional injuries are most likely to occur in boys aged 1-<3 years, and fall/fall is the main injury type. Traffic accidents are the most important unintentional injury type leading to children′s unhealed/dead. Different injury types were related to child gender, age, quarter, and place of occurrence.Due to the differences in the occurrence mechanism and injury mode of accidental injuries in different countries and regions, and the majority of accidental injuries can be prevented, targeted preventive measures should be taken according to the characteristics of children′s accidental injuries in different regions, and a comprehensive prevention system for children′s accidental injuries should be constructed to ensure children′s safety.