The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

Objective:To explore the application of a scenario-based onsite first-aid skills station in objective structured clinical examination (OSCE).Methods:Based on common scenarios and cases in medical practice, an evaluation framework of the OSCE onsite first-aid skills station—containing assessment indicators, exam room setting, examiner training, and assessment process—was designed to evaluate the onsite first-aid competencies of medical graduates of the five-year program for three consecutive years. SPSS 24.0 was used to perform the Kruskal-Wallis test and Pearson correlation analysis to calculate the correlation between course examination scores and OSCE onsite first-aid skills station assessment scores. Excel was used to calculate the difficulty index and discrimination index of test items.Results:The graduates' OSCE onsite first-aid skills station assessment scores were improved year by year, with a mean score of about 80 points. The station assessment items showed a moderate difficulty level (0.7-0.8), a good discrimination level (>0.4), and good internal consistency (Cronbach's α>0.7). The examiners and examinees had a high recognition of the design and effectiveness of this station assessment method. There was a positive correlation between the OSCE scores and corresponding course scores (2016, r=0.245, P=0.001; 2017, r=0.108, P=0.026; 2018, r=0.198, P=0.006). Conclusions:Through scientific scoring and strict examination management, the OSCE scenario-based onsite first-aid skills station can effectively evaluate examinees' injury treatment competencies in different situations, which can provide a reference for course teaching.

Objective To investigate the influence of changes in blood flow parameters on pulse rate characteristics by taking the advantage of controllable parameters in an experimental cardiopulmonary bypass system.Methods A set of human circulatory system equipped with an in vitro wrist model was established.By changing parameters such as the heart rate,wrist flow,pressure,and system compliance,a photoplethysmography pulse wave signal was obtained from the wrist model,and the time-and frequency-domain indices of pulse rate variability were extracted.Results Changes in heart rate,pressure,and system compliance caused a change in pulse shape,but the time domain indices NN50 and PNN50,which indicate pulse rate variability,were zero,and the other indices and frequency domain indices were in the very low value category.Conclusions In the absence of heart rate variability,hemodynamic changes in heart rate,wrist flow,blood pressure,and system compliance did not produce significant pulse rate variability.This study can provide a reference for studies on pulse rate variability and heart rate using more convenient wrist acquisition equipment.

Objective: Hepatitis B surface antigen (HBsAg) loss is seldom achieved with nucleos(t)ide analog (NA) therapy in chronic hepatitis B patients but may be enhanced by switching to finite pegylated-interferon (Peg-IFN) alfa-2a. We assessed HBsAg loss with 48- and 96-week Peg-IFN alfa-2a in chronic hepatitis B patients with partial response to a previous NA. Methods: Hepatitis B e antigen (HBeAg)-positive patients who achieved HBeAg loss and hepatitis B virus DNA < 200 IU/mL with previous adefovir, lamivudine or entecavir treatment were randomized 1:1 to receive Peg-IFN alfa-2a for 48 (n = 153) or 96 weeks (n = 150). The primary endpoint of this study was HBsAg loss at end of treatment. The ClinicalTrials.gov identifier is NCT01464281. Results: At the end of 48 and 96 weeks' treatment, 14.4% (22/153) and 20.7% (31/150) of patients, respectively, who switched from NA to Peg-IFN alfa-2a cleared HBsAg. Rates were similar irrespective of prior NA or baseline HBeAg seroconversion. Among those who cleared HBsAg by the end of 48 and 96 weeks' treatment, 77.8% (14/18) and 71.4% (20/28), respectively, sustained HBsAg loss for a further 48 weeks. Baseline HBsAg < 1 500 IU/mL and week 24 HBsAg < 200 IU/mL were associated with the highest rates of HBsAg loss at the end of both 48- and 96-week treatment (51.4% and 58.7%, respectively). Importantly, extending treatment from 48 to 96 weeks enabled 48.3% (14/29) more patients to achieve HBsAg loss. Conclusion Patients on long-term NA who are unlikely to meet therapeutic goals can achieve high rates of HBsAg loss by switching to Peg-IFN alfa-2a. HBsAg loss rates may be improved for some patients by extending treatment from 48 to 96 weeks, although the differences in our study cohort were not statistically significant. Baseline and on-treatment HBsAg may predict HBsAg loss with Peg-IFN alfa-2a.