Objective: To propose an improved method for constructing the internal quality control (IQC) framework for ELISA assays and validate its efficacy by statistically analyzing IQC data from nine blood center laboratories. Methods: 1) IQC data was collected from nine blood centers and analyzed using a domestic HBsAg ELISA detection kit as an example. 2) Differences between IQC values across batches within Blood Center 1 were assessed. 3) Statistical analyses were performed on batch usage, number of batches used, days of use, number of QC points, batch-specific means, and coefficients of variation (CV) across all nine centers. 4) Using the improved construction method for IQC framework, provisional and permanent frames were established for batches within Blood Center 1 and Blood Center 9, followed by outlier determination. Results: 1) Statistically significant differences were observed in IQC data between batches within Blood Center 1 (P<0.01). It is recommended that both the control material/reagents and the control chart framework be replaced simultaneously. 2) There were substantial differences among 9 blood centers regarding the control material/reagent lot numbers used, the number of QC runs per batch, and the QC values for identical lots. Therefore, individual laboratories should establish their own IQC chart frameworks. 3) The improved IQC framework construction method for ELISA assays is as follows: provisional frames are established via frame-shifting, using the pre-experimental mean and cumulative coefficient of variation (CV) from the preceding batch. For batches used >20 days with >20 QC points, permanent frames are constructed by aggregating in-control data accumulated over ≥20 days with ≥20 points to calculate cumulative mean and standard deviation. The provisional and permanent frames constructed by this method identified all 26 extreme outliers across Blood Centers 1 and 9 as out-of-control. Among the 218 general outliers, 10 were classified as normal by the provisional frames, while the remainder were designated as warnings or out-of-control. This method effectively monitors assay stability. Conclusion: Based on the statistical analysis of IQC practices across blood centers of varying scales, combined with the inherent characteristics of ELISA assays and the batch-to-batch instability of reagents/QC materials, it is recommended to reconstruct QC charts upon lot changes. The proposed method—utilizing frame-shifting for provisional frames and establishing permanent frames based on cumulative data—is applicable to blood center laboratories of differing sizes and effectively monitors the stability of the ELISA assay process.

A 42-year-old male with chest tightness and dyspnea was admitted to the hospital. Chest CT indicated diffuse interstitial lung infiltration. Despite receiving anti-infective therapy, glucocorticoid therapy, and immunosuppressive agents, the patient developed refractory hypoxaemia. Endotracheal intubation and invasive mechanical ventilation failed to improve oxygenation. Therefore the patient was diagnosed with rapidly progressive interstitial lung disease (RP-ILD) accompanied by type Ⅰ respiratory failure. Veno-venous (VV) extracorporeal membrane oxygenation (ECMO) was initiated, and oxygenation improved in this patient. The patient subsequently underwent bilateral lung transplantation with veno-arterio-venous (VAV) ECMO support. ECMO machine was withdrawn on day 1, and extubation was achieved on day 9 after surgery. Histopathology revealed fibrotic nonspecific interstitial pneumonia (NSIP) with hyaline membrane formation. The patient developed ICU-acquired myasthenia and received early rehabilitation, with gradual recovery of muscle strength. During follow-up, graft lung function remained stable. This case demonstrates that ECMO can serve as a bridge to lung transplantation in RP-ILD patients.

ObjectiveTo analyze the incidence and spatiotemporal distribution of typhus fever in Baoshan City, Yunnan Province from 2005 to 2023, to identify high-risk populations and regions, so as to provide a scientific basis for optimizing the allocation of local prevention and control resources and developing targeted intervention measures. MethodsData of typhus fever cases in Baoshan City from 2005 to 2023 were obtained from the Infectious Disease Information Management System of the Chinese Center for Disease Control and Prevention. Descriptive epidemiological methods were used to analyze the temporal, spatial and demographic distribution of typhus fever cases. Spatial clustering was assessed using spatial dynamic window scan statistics (circular and elliptical windows), flexible spatial scan statistics, and local spatial autocorrelation methods (including local Moran’s I, local Geary’s C, and Getis-Ord G_i*). Retrospective spatiotemporal scan statistics were employed to detect spatiotemporal clusters. ResultsA total of 1 099 typhus fever cases were reported in Baoshan City from 2005 to 2023. The incidence rate peaked at 6.31/ 100 000 in 2007, followed by a decline until reaching its lowest level at 0.21/100 000 in 2015 , and subsequently rebounded during 2016‒2023. The highest proportion of cases was among children under 10 years of age (31.12%), and the top three occupations of cases were farmers, students, and children, accounting for 88.62% of all cases. Cases occurred predominantly between June and September each year. The incidence was relatively high in Jiucheng Town (62.58/100 000), Yaoguan Town (57.15/100 000), and Dianyang Town (46.81/100 000) of Shidian County. Spatial clustering analyses indicated that high-risk areas were mainly located in the southern part of Baoshan City, showing a south-to-north trend. Spatiotemporal scan analyses identified five clusters, with the most likely cluster centered around Yaoguan Town, covering ten towns (subdistricts) during the period 2007‒2010. ConclusionThe incidence of typhus fever in Baoshan City exhibits a clear seasonal and spatial clustering pattern, with peak incidence occurring in summer and autumn. Spatially, cases are primarily distributed in the southern part of Baoshan City, and high-risk clusters exhibit a south-to-north trend. Farmers, students, and children are the high-risk groups.

Objective To investigate the changes in the density of Aedes albopictus across different regions and different breeding habitats in Baoshan District, Shanghai Municipality from 2018 to 2024, so as to inform evidence-based control strategies for mosquito-borne infectious diseases in Shanghai Municipality. Methods Ae. albopictus surveillance sites were deployed in 12 subdistricts (towns) of Baoshan District, Shanghai Municipality from 2018 to 2024, and the surveillance on the density of Ae. albopictus was performed in each surveillance site once weekly during the peak activity period of Aedes mosquitoes from May to October each year from 2018 to 2024. Mosquito ovitraps were deployed in various breeding habitats in each surveillance site according to geographical locations, including residential areas, schools, government institutions, hospitals, recycling stations, and construction sites, and regularly collected, and the mosquito ovitrap index (MOI) was calculated. The changes in the Ae. albopictus density were analyzed based on MOI across years, regions, and breeding habitats. Additionally, from May to October each year between 2018 and 2024, monthly risk assessments of Aedes albopictus density were conducted in every subdistrict (town) of Baoshan District, Shanghai. Results The annual mean MOI values of Ae. albopictus were 5.88 ± 2.29, 8.19 ± 4.46, 7.43 ± 3.40, 5.44 ± 2.52, 3.97 ± 2.72, 3.82 ± 1.57, and 2.56 ± 1.11 in Baoshan District from 2018 to 2024, respectively (F = 75.886, P < 0.05), and the MOI appeared a rise followed by a reduction each year and peaked during the period between June and August. There was a significant difference in the 7-year mean MOI of Ae. albopictus across the 12 subdistricts/towns (F = 26.558, P < 0.05), and there were 6 subdistricts/towns with a 7-year mean MOI of over 5, including Songnan Town (8.44 ± 4.68), Dachang Town (7.71 ± 5.28), Gucun Town (7.13 ± 3.57), Yuepu Town (5.74 ± 1.69), Gaojing Town (5.51 ± 3.44), and Wusong Subdistrict (5.41 ± 2.04). There was a significant difference in the MOI of Ae. albopictus across breeding habitats (F = 3.843, P < 0.05), with the highest MOI seen in recycling stations (9.86 ± 4.61), which was significantly higher than in other habitats (P < 0.05), and the lowest seen in construction sites (4.90 ± 2.95), which was significantly lower than in other habitats (P < 0.05). The proportion of frequency with Ae. albopictus density transmission risk decreased from 54.17% in 2018 to 11.11% in 2024 in all subdistricts (towns) of Baoshan District, and the frequency of outbreak risks peaked in 2019 (18 instances) and declined substantially in 2021 (6 instances), with no records of outbreak or transmission risk documented across the district in 2024. Conclusions There were substantial seasonal variations in the Ae. albopictus density in Baoshan District, Shanghai Municipality from 2018 to 2024. The Ae. albopictus density peaked during the period between June and August in Baoshan District each year from 2018 to 2024, with a relatively higher density in Songnan Town and Dachang Town, and in recycling stations. Precision control measures and intensified seasonal interventions are recommended in high-risk settings in Baoshan District to reduce the transmission risk of Aedes-borne infectious diseases.

Objective To provide a reference for the establishment, development and application of the adverse drug reaction （ADR） automated monitoring system, through verifying and quantifying the research hotspots and advantages of the system by CiteSpace software and systematic review. Methods Literature on ADR automated monitoring up to December 2023 were retrieved and screened from CNKI and web of science databases. CiteSpace 6.4.R1 software was used to conduct co-occurrence, clustering and emergence analysis, and to visualize and comparatively analyze the research hotspots, rules and distribution in the field of automated monitoring of ADR at home and abroad. In compliance with the preferred reporting items for systematic reviews and Meta-analyses （PRISMA）, literature covering publications in English and Chinese including detection rates of ADR collected using Incident Reporting Systems （IRSs） and/or automated monitoring systems were retrieved and screened. The advantages and disadvantages of automated monitoring systems were analyzed by comparing the differences between these two systems in terms of the number of ADR reports and the types of positive signals. Results A total of 56 articles in English and 80 articles in Chinese were indexed by CiteSpace. The research hotspots in recent years included data mining, deep learning, text classification techniques, machine learning and so on. A total of seven studies compiled with the inclusion criteria for the systematic evaluation, all of which were completed between 1991 and 2021 in hospitals in four countries. 150 526 medical records were reviewed from 15 institutions. A total of 194 ADR reports were collected by IRSs. A total of 2 090 ADR reports were collected by the automated monitoring system over the same period, indicating a 977% increase in the number of ADR reports （P=0.0156） compared with the IRSs. Conclusion The ADR automatic monitoring system had significantly improved the level of drug risk identification and reduced costs, but it was necessary to optimize the algorithm, expand the data source and carry out standardization construction to overcome the current limitations.

Objective To investigate the prevalence and related factors of sarcopenia among non–bedridden older adults in the community of Baoshan District using the China mini sarcopenia risk assessment 7 (C-MSRA-7) combined with Ishii scoring system. Methods The older individuals consulting at 20 community health stations in Baoshan District between April 2025 and June 2025 were enrolled. Data were collected using a general information questionnaire, a dietary and lifestyle habits survey, the C-MSRA-7, and the mini nutritional assessment-short form (MNA-SF). Handgrip strength and anthropometric measurements were also obtained. Individuals with both Ishii score and C-MSRA-7 results positive were classified into the sarcopenia risk group, while the remaining participants were assigned to the non–sarcopenia risk group. Differences in lifestyle habits, dietary patterns, and nutritional status between the two groups were compared. Results A total of 2 611 valid questionnaires were retrieved. Univariate analysis showed statistically significant differences in alcohol consumption, physical activity frequency, body mass index (BMI), nutritional status, activities of daily living, and regularity of three meals in sarcopenia risk group (n＝486) and non–sarcopenia risk group (n＝2 125, P<0.05). Logistic regression analysis showed that advanced age (75–84 years: OR＝2.55, 95%CI 2.03–3.21; ≥85 years: OR＝3.98, 95%CI 2.24–7.07), underweight status (OR＝2.19, 95%CI 1.50–3.19), weight loss＞2 kg (OR＝4.52, 95%CI 2.68–7.64) past 3 months, lack of regular physical activity (OR＝1.77, 95%CI 1.24–2.52) , and alcohol consumption (OR＝1.48, 95%CI 1.07–2.05) were independent risk factors for sarcopenia (P<0.05). Behaviors related to healthy diet, including daily milk consumption (OR＝0.40, 95%CI 0.30–0.52), regular three meals (OR＝0.56, 95%CI 0.41–0.78), and high-quality protein intake (OR＝0.70, 95%CI 0.52–0.94), were protective factors (P<0.05). Conclusions Sarcopenia among community–dwelling, non–bedridden older adults is closely associated with physical activity levels, dietary habits, and nutritional status. Early identification of individuals at risk, enhanced nutritional education, and timely implementation of nutritional interventions and exercise programs are recommended for this population.

ObjectiveTo investigate the independent risk factors for concurrent myocardial injury before intervention in patients with primary hepatic carcinoma （PHC）， to construct and validate a nomogram prediction model for the early identification of such patients， and to provide a basis for early clinical prevention and management. MethodsA retrospective analysis was performed for the clinical data of 1 822 patients with PHC in two medical institutions from January 2019 to June 2025， among whom the 1 518 patients from The Third People’s Hospital of Kunming were used as the training set to construct the nomogram prediction model， and the 304 patients from The Second People’s Hospital of Baoshan were used as the validation set. According to the result of high-sensitivity cardiac troponin T measurement before intervention， the patients with PHC were divided into myocardial injury group and non-myocardial injury group. The univariate analysis， the LASSO regression analysis， and the multivariate Logistic regression analysis were used to identify the risk factors of concurrent myocardial injury in PHC patients before intervention， and then a nomogram prediction model was constructed based on these findings. The independent data of the 304 patients in the validation set were used for external validation， and the area under the receiver operating characteristic curve （AUC）， the Hosmer-Lemeshow test， the calibration curve， decision curve analysis， and clinical impact curve were used to assess model performance. ResultsIn the training set， there were 346 patients in the myocardial injury group and 1 172 patients in the non-myocardial injury group， and the prevalence rate of concurrent myocardial injury was 22.79%. The mean age was 56.44±9.45 years， and the male patients accounted for 81.49%. The patients with drinking， smoking， chronic hepatitis B， chronic hepatitis C， hypertension， diabetes， Child-Pugh class A liver disease， BCLC stage B liver disease， or abnormal electrocardiographic findings accounted for 49.34%， 57.44%， 61.73%， 32.48%， 22.66%， 17.19%， 50.53%， 33.86%， and 62.12%， respectively. The univariate analysis， the LASSO regression analysis， and the multivariate Logistic regression analysis showed that age （odds ratio ［OR］=1.051， 95% confidence interval ［CI］： 1.036 — 1.067， P<0.001）， history of diabetes （OR=1.862， 95%CI： 1.346 — 2.574， P<0.001）， electrocardiographic findings （OR=1.446， 95%CI： 1.077 — 1.940， P=0.014）， hemoglobin （HGB） （OR=0.993， 95%CI： 0.988 — 0.998， P=0.003）， albumin （Alb） （OR=0.951， 95%CI： 0.930 — 0.972， P<0.001）， and creatinine （Cr） （OR=1.021， 95%CI： 1.016 — 1.026， P<0.001） were independent influencing factors for myocardial injury in PHC patients. A regression equation was established as Logit（Y）=-3.406+0.050×age+0.621×history of diabetes+0.369×electrocardiogram－0.007×HGB－0.051×Alb+0.021×Cr， and a nomogram prediction model was constructed based on these factors. The Bootstrap internal validation of the model yielded an AUC of 0.743 （95%CI： 0.707 — 0.778）， and the model had an AUC of 0.766 （95%CI： 0.738 — 0.794） in the training set and 0.730 （95%CI： 0.688 — 0.793） in the validation set. The Hosmer-Lemeshow goodness-of-fit test yielded a P value of 0.716 for the training set and 0.408 for the validation set， suggesting that the model had a good degree of fitting. Calibration curves， decision curve analysis， and clinical impact curves in both the training set and the validation set showed that the model had a good clinical application value. ConclusionAge， history of diabetes， electrocardiographic findings， HGB， Alb， and Cr are independent influencing factors for myocardial injury in patients with PHC， and the nomogram prediction model constructed based on these factors has good discriminatory ability， accuracy， and clinical practicability.

Objective To explore the impact of national volume-based procurement policies on the use of medicines in treatment of benign prostatic hyperplasia （BPH） and provide data support for the rational clinical use of medicines in BPH treatment. Methods Data on the use of BPH treatment medications from 2019 to 2023 were extracted from the Chinese Medicine Economic Information Network （CMEI）, covering 892 hospitals （including 645 tertiary hospitals and 247 secondary hospitals）. The changes in various indicators, including the consumption sum, Defined daily doses （DDDs）, Defined daily dose cost （DDDc）, and the ranking ratio （B/A） of these drugs were analyzed and compared. Results From 2019 to 2023, due to the influence of relevant policies, the overall consumption sums of medicines used in the sample hospitals in BPH treatment showed a trend of decreasing first and then rising steadily. The DDDs showed an overall upward trend, while the DDDc demonstrated a gradual decline. Tamsulosin and finasteride consistently ranked first and second in DDDs. The B/A value for tamsulosin was significantly higher than that of other BPH treatment medications. Conclusion The implementation of national centralized drug volume-based procurement policies and other policies from 2019 to 2023 had effectively reduced the economic burden of patients with benign prostatic hyperplasia. Tamsulosin and finasteride, which had the highest B/A in the two categories of α-blockers and 5α-reductase inhibitors, dominated the market for BPH treatment. The clinical use of BPH treatment medications was relatively rational.

Glucose metabolic reprogramming is important in promoting the occurrence and development of malignant tumors and meeting the high demands of the malignant proliferation of tumor cells. An in-depth investigation of the mechanism of glucose metabolic reprogramming in lung cancer is important for the development of effective therapeutic strategies for lung cancer. Traditional Chinese medicine (TCM) is characterized by multiple components, targets, and pathways and can exert antitumor effects through multiple mechanisms. This article illustrates systematically the mechanism of action of Chinese herbal monomers and compound formulas regulating glucose metabolic reprogramming in lung cancer and explores deeply their regulatory effects on key enzymes of glycolysis and metabolism-related signaling pathways, and their potential in overcoming the drug resistance of lung cancer. It aims to provide a reference basis for the study of therapeutic targets and mechanisms of action of TCM in prevention and treatment of lung cancer and theoretical sources for the research and development of new medicines.

China emerges as a major country in nuclear energy development and the application of nuclear and radiologic technology. The diagnosis and treatment of acute radiation syndrom (ARS) caused by external irradiation represent a core function in the country′s medical rescue of nuclear and radiological emergencies. Clinically, ARS manifests hematopoietic, gastrointestinal, cutaneous, and central nervous system syndromes, with specific clinical manifestations, signs, severity, and prognosis strongly correlated with radiation dose. China has established a number of national and provincial centers for treating radiation-induced damage. Nevertheless, most medical staff have limited experience in ARS treatment. This consensus presents a summary of recent experience in treating ARS of China. In combination with recommendations from international organizations such as the World Health Organization (WHO), this consensus proposes key evidence of critical clinical issues of ARS, covering all links in the rescue of external irradiation-induced ARS. Initially, clinical diagnosis, syndromes, and severe degrees should be determined based on clinical symptoms and dose estimates. It is necessary to normalize clinical treatment measures for hematopoietic recovery, gastrointestinal injury treatment, infection control, symptomatic treatment, and multi-organ function preservation. To this end, this consensus offers cautions. This consensus provides principles of treatment with traditional Chinese medicine, psychological intervention, and follow-up. Additionally, it highlights multidisciplinary collaboration. It is recommended that this consensus be applied in relevant treatment centers.