Objective:To explore the risk factors for bronchiolitis obliterans (BO) after Mycoplasma pneumoniae bronchiolitis in children. Methods:A retrospective cohort study was conducted on 122 children diagnosed with Mycoplasma pneumoniae bronchiolitis in Department No.2 of Respiratory Medicine of Beijing Children′s Hospital, Capital Medical University, from March 2017 to December 2024. Clinical data, including general information, clinical manifestations, imaging findings, laboratory tests, and outcomes, were analyzed. Patients were divided into BO and non-BO groups based on the presence of BO. Differences between groups were assessed using Mann-Whitney U test, χ2 test, or Fisher exact test. Logistic regression and receiver operating characteristic (ROC) curve analysis were employed to identify risk factors and evaluate predictive performance. Results:Among 122 children (73 males, 49 females), the age at onset was 5.0 (2.4, 7.1) years. The BO group included 21 patients, and the non-BO group 101. The BO group exhibited significantly longer durations of persistent high fever and higher peak levels of C-reactive protein, lactate dehydrogenase, and D-dimer compared to the non-BO group (9 (7, 11) vs. 4 (2, 6) d, 19 (7, 35) vs. 10 (7, 18) mg/L, 438 (337, 498) vs. 315 (274, 351) U/L, 0.36 (0.27, 0.91) vs. 0.21 (0.15, 0.29) mg/L, U=295.00, 743.50, 463.50, 470.50, all P<0.05). The BO group also had higher proportions of resting oxygen saturation <0.95 on room air (100.0% (21/21) vs. 43.6% (44/101)), inspiratory retractions (57.1% (12/21) vs. 18.8% (19/101), χ2=11.53), and adenovirus co-infection (38.1% (8/21) vs. 5.0% (5/101)) (all P<0.05). Multivariate Logistic regression identified prolonged high fever ( OR=1.83, 95% CI 1.31-2.58, P<0.001), inspiratory retractions ( OR=10.48, 95% CI 1.72-63.85, P=0.011), and adenovirus co-infection ( OR=42.47, 95% CI 4.04-446.87, P=0.002) as independent risk factors for BO. ROC curve analysis revealed that a fever duration cutoff of 7.5 days predicted BO with 0.71 sensitivity and 0.92 specificity. Conclusions:Prolonged high fever (≥7.5 days), inspiratory retractions, and adenovirus co-infection are significant predictors of BO after Mycoplasma pneumoniae bronchiolitis in children, which are helpful for early clinical identification.

Objective To identify high-risk factors for healthcare-associated infection(HAI)in patients in inten-sive care units(ICUs),and develop a quick response(QR)code-based APP prediction tool.Methods Information of inpatients in general ICUs of three hospitals in Guizhou Province from January to December 2024 were collected.Risk factors were analyzed with a logistic regression model.QR code-based APP was constructed and validated.Results A total of 1 782 patients in general ICUs of three hospitals in Guizhou Province in 2024 were included in the analysis,out of which 410 were HAI cases,and the incidence of HAI was 23.01％.Multivariate logistic regre-ssion analysis results of HAI in ICU inpatients showed that regional gross domestic product(GDP)≥58 685 Yuan,performing pathogen culture during this hospitalization,history of diabetes mellitus,history of cancer,length of hospital stay ≥7 days before infection,and duration of persistent fever＞5 days before infection were independent risk factors for HAI in ICU patients(all P＜0.05).The discrimination of the model(area under the receiver operating characteristic curve[AUC]of 0.841),calibration(Brier score of 0.129),and clinical effectiveness(net benefit of 11.4％when the risk threshold was 5％-74％)all performed well.Conclusion The QR code-based APP prediction tool is of great significance for scientific research transformation and precise HAI control.

Objective:To explore the risk factors for bronchiolitis obliterans (BO) after Mycoplasma pneumoniae bronchiolitis in children. Methods:A retrospective cohort study was conducted on 122 children diagnosed with Mycoplasma pneumoniae bronchiolitis in Department No.2 of Respiratory Medicine of Beijing Children′s Hospital, Capital Medical University, from March 2017 to December 2024. Clinical data, including general information, clinical manifestations, imaging findings, laboratory tests, and outcomes, were analyzed. Patients were divided into BO and non-BO groups based on the presence of BO. Differences between groups were assessed using Mann-Whitney U test, χ2 test, or Fisher exact test. Logistic regression and receiver operating characteristic (ROC) curve analysis were employed to identify risk factors and evaluate predictive performance. Results:Among 122 children (73 males, 49 females), the age at onset was 5.0 (2.4, 7.1) years. The BO group included 21 patients, and the non-BO group 101. The BO group exhibited significantly longer durations of persistent high fever and higher peak levels of C-reactive protein, lactate dehydrogenase, and D-dimer compared to the non-BO group (9 (7, 11) vs. 4 (2, 6) d, 19 (7, 35) vs. 10 (7, 18) mg/L, 438 (337, 498) vs. 315 (274, 351) U/L, 0.36 (0.27, 0.91) vs. 0.21 (0.15, 0.29) mg/L, U=295.00, 743.50, 463.50, 470.50, all P<0.05). The BO group also had higher proportions of resting oxygen saturation <0.95 on room air (100.0% (21/21) vs. 43.6% (44/101)), inspiratory retractions (57.1% (12/21) vs. 18.8% (19/101), χ2=11.53), and adenovirus co-infection (38.1% (8/21) vs. 5.0% (5/101)) (all P<0.05). Multivariate Logistic regression identified prolonged high fever ( OR=1.83, 95% CI 1.31-2.58, P<0.001), inspiratory retractions ( OR=10.48, 95% CI 1.72-63.85, P=0.011), and adenovirus co-infection ( OR=42.47, 95% CI 4.04-446.87, P=0.002) as independent risk factors for BO. ROC curve analysis revealed that a fever duration cutoff of 7.5 days predicted BO with 0.71 sensitivity and 0.92 specificity. Conclusions:Prolonged high fever (≥7.5 days), inspiratory retractions, and adenovirus co-infection are significant predictors of BO after Mycoplasma pneumoniae bronchiolitis in children, which are helpful for early clinical identification.

Objective To identify high-risk factors for healthcare-associated infection(HAI)in patients in inten-sive care units(ICUs),and develop a quick response(QR)code-based APP prediction tool.Methods Information of inpatients in general ICUs of three hospitals in Guizhou Province from January to December 2024 were collected.Risk factors were analyzed with a logistic regression model.QR code-based APP was constructed and validated.Results A total of 1 782 patients in general ICUs of three hospitals in Guizhou Province in 2024 were included in the analysis,out of which 410 were HAI cases,and the incidence of HAI was 23.01％.Multivariate logistic regre-ssion analysis results of HAI in ICU inpatients showed that regional gross domestic product(GDP)≥58 685 Yuan,performing pathogen culture during this hospitalization,history of diabetes mellitus,history of cancer,length of hospital stay ≥7 days before infection,and duration of persistent fever＞5 days before infection were independent risk factors for HAI in ICU patients(all P＜0.05).The discrimination of the model(area under the receiver operating characteristic curve[AUC]of 0.841),calibration(Brier score of 0.129),and clinical effectiveness(net benefit of 11.4％when the risk threshold was 5％-74％)all performed well.Conclusion The QR code-based APP prediction tool is of great significance for scientific research transformation and precise HAI control.

Purpose/Significance Based on the real data of the pediatric prescription circulation platform,a comparative study on us-er characteristics is carried out in order to improve the pediatric prescription circulation service and related platform construction in Chi-na,and to provide references for improving the service capability of the prescription circulation platform.Method/Process Information of children who purchase drugs through the prescription circulation platform of Beijing Children's Hospital from September 10,2019 to July 31,2023 is collected and divided into online drug purchasing group and offline drug purchasing group according to drug access.JMP 17.0(SAS)statistical analysis is used,and Pearson x2 test is used for comparison between groups.Result/Conclusion There are statis-tically significant differences in social demographic characteristics,medical behavior characteristics and single prescription characteristics between the two groups.The pediatric prescription circulation platform has great potential in medical alliance,and online mode is a good application scenario to realize cross-hospital drug circulation.Measures such as building multi-center online drug logistics centers and offline pharmacies according to different user groups can effectively improve the service capability of the platform.

In-depth understanding of the clinical diagnosis and treatment practices of various health workers is of great significance for optimizing the allocation of health workforce. In 2023, based on the surveillance platform of National Center for Pediatric Cancer Surveillance(NCPCS), the NCPCS effectively integrated human resources data with clinical diagnosis and treatment data. By clarifying the conceptual and logical structures of the database, a clinical health workforce database was constructed using a distributed relational database. This database adhered to the data quality control principles of uniqueness, integrity, logic, and validity, and implemented scientific and effective data security protection strategies throughout the entire data life cycle. In practical applications, statistical analyses could be conducted on this database from two dimensions: health workforce and diagnosis-treatment processes, assisting relevant departments and hospitals in the refined management of health workforce allocation and promoting discipline construction. As of May 2024, the database had incorporated 931 hospitals, with the number of various health workers exceeding 640 000. The clinical health workforce database provided references for health administrative departments and hospitals at all levels to grasp the clinical practices of various health workers, and to achieve a clinical-demand-oriented allocation of health workforce.

In-depth understanding of the clinical diagnosis and treatment practices of various health workers is of great significance for optimizing the allocation of health workforce. In 2023, based on the surveillance platform of National Center for Pediatric Cancer Surveillance(NCPCS), the NCPCS effectively integrated human resources data with clinical diagnosis and treatment data. By clarifying the conceptual and logical structures of the database, a clinical health workforce database was constructed using a distributed relational database. This database adhered to the data quality control principles of uniqueness, integrity, logic, and validity, and implemented scientific and effective data security protection strategies throughout the entire data life cycle. In practical applications, statistical analyses could be conducted on this database from two dimensions: health workforce and diagnosis-treatment processes, assisting relevant departments and hospitals in the refined management of health workforce allocation and promoting discipline construction. As of May 2024, the database had incorporated 931 hospitals, with the number of various health workers exceeding 640 000. The clinical health workforce database provided references for health administrative departments and hospitals at all levels to grasp the clinical practices of various health workers, and to achieve a clinical-demand-oriented allocation of health workforce.

Objective:To analyze the epidemiological characteristics of childhood infectious diseases in a single center in Beijing City from 2007 to 2021, and to provide scientific basis for the management of infectious diseases in hospitals.Methods:The clinical data of outpatients or inpatients aged<18 years old with infectious diseases recorded in the Nationwide Health Information-based Disease Control and Prevention Information System of Beijing Children′s Hospital, Capital Medical University from January 1, 2007 to December 31, 2021 were collected. Descriptive epidemiological methods were used to analyze the types of infectious diseases, population distribution, time distribution characteristics, as well as the etiological characteristics of major infectious diseases.Results:There were 219 260 cases reported, accounting for 5.73‰(219 260/38 295 800) of the total number of hospital cases, with two peaks of 25 469 and 22 928 cases in 2010 and 2019, respectively. The main category of infectious diseases was class C, accounting for 77.51%(169 947/219 260). According to the classification of transmission routes, fecal-oral transmission infectious diseases were the most common, with 144 712 cases (66.00%), followed by air and droplet transmission infectious diseases with 73 946 cases (33.73%), showing an increasing trend by year. The top five diseases in terms of incidence were hand, foot and mouth disease (114 864 cases), influenza (28 703 cases), varicella (22 190 cases), other infectious diarrheal diseases (21 040 cases) and scarlet fever (11 500 cases). Among the 219 260 children, there were 131 546 males and 87 714 females, with a male-to-female ratio of 1.5 to 1. Children aged≤6 years old comprised the majority, with a total of 189 593 cases (86.47%). The peak period of infectious diseases reporting was from May to July. Hand, foot and mouth disease was mainly caused by Coxsackie virus A16(35.02%(1 258/3 592)), while Coxsackie virus A6 had been increasing rapidly since 2017. The main pathogen of influenza was influenza A virus (62.18%(7 400/11 900)), while other infectious diarrhea was mainly caused by rotavirus (87.55%(4 283/4 892)).Conclusions:There is an intermittent outbreak in the incidence of childhood infectious diseases, and air and droplet transmission infectious diseases have shown an upward trend in recent years. Hand, foot and mouth disease, influenza, varicella, other infectious diarrheal diseases and scarlet fever are the main infectious diseases affecting children. Different diseases have the characteristics of age and onset season. The prevention and control of infectious diseases should be updated gradually according to the epidemic trend. Proper protection should be taken during peak seasons and for key populations.

Objective:To investigate the clinical features, gene mutation and follow-up outcome of children with paroxysmal kinesigenic dyskinesia(PKD).Methods:Clinical data was collected at Beijing Tiantan Hospital Affiliated to Capital Medical University from November 2018 to November 2019.In total, seven children with PKD were recruited, and peripheral blood samples for gene study were collected from six patients and their parents.Mutation analysis of PRRT2 gene was performed by PCR sequencing in children and by Sanger sequencing in patients.Results:Of the seven patients, four were male and three were female, and the median age of onset was 11 years and 6 months, ranging from 5 to 14 years.Among them, two patients were family cases and the other five patients were sporadic cases.The presentation were abnormal involuntary movements provoked by sudden movements, without loss of consciousness.Five patients exhibited dystonia and two patients had dystonia and choreoathetosis.The duration of the attacks lasted for a few seconds to 40 seconds.The frequency ranged from 5 to 15 times per day.PRRT2 mutations, c.649_650insC(P.R217PfsX8), were found in two patients with PKD families and three sporadic PKD cases.Conclusion:The onset age of PKD is pre-school or school age.The attacks manifest as dystonia or mixed with dystonia and choreoathetosis.PRRT2 is the main pathogenic gene of PKD and mutation c. 649_650insC is the hotspot mutation.Low-dose Carbamazepine has good effects.

Innovative Experiment Competition of Preventive Medicine is a significant constitution of Guangdong Undergraduate Technique Competition of Preventive Medicine. Without the constriction of majors, students participate in group with 3 people, design their own experiments around the hot spots and practical problems in public health area and are awarded according to the grades of the experiment design and thesis defence. The most topics in the first and the second competitions are about environmental hygiene and occupational hygiene, and the infectious diseases are attracting increasing attention. More and more topics combine the method of experiment with investigation. Some tactics are also suggested that innovation, view of general population, autonomy and investigation should be included in topic selection for this contest.