Objective:To investigate the clinical characteristics of children with severe human metapneumovirus (HMPV) infection and identify the risk factors associated with critical illness.Methods:A retrospective cohort study was conducted, enrolling 157 hospitalized children with severe HMPV infection, who tested positive for HMPV nucleic acid via PCR-capillary electrophoresis fragment analysis of nasopharyngeal secretions at Shanghai Children′s Hospital from January 2021 to December 2023.Clinical features, co-infections, treatment, and outcomes were collected. Based on the diagnostic criteria for severe HMPV infection, the patients were categorized into a critical illness group and a non-critical illness group. Intergroup comparisons were performed using the χ2 test or the Mann-Whitney U test. Multivariate Logistic regression analysis was employed to identify risk factors for critical HMPV infection and to establish a predictive model.The performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis and calibration curves. Results:Among the 157 cases of severe HMPV infection, there were 67 males and 90 females, with an onset age of 39.0 (20.0, 55.5) months. Single-pathogen infection was observed in 125 cases (79.6%), while mixed infections accounted for 32 cases (20.4%).Severe pneumonia was diagnosed in 136 cases (86.6%).The predominant manifestations of severe HMPV infection included fever 152 cases (96.8%), cough 151 cases (96.2%), and wheezing 94 cases (59.9%).Sixty-eight patients (43.3%) required non-invasive respiratory support, 58 cases (36.9%) were admitted to the intensive care unit, and 22 cases (14.0%) underwent mechanical ventilation. Of the total, 149 cases (94.9%) were discharged with improvement, 8 cases (5.1%) were discharged against medical advice, and there were no fatal cases. The cohort was further stratified into a critical illness group 31 cases and a non-critical illness group 126 cases. Compared to the non-critical illness group, the critical illness group exhibited significantly higher rates of respiratory distress, lethargy, and intercostal retractions, along with a higher proportion of underlying comorbidities, and elevated levels of C-reactive protein and procalcitonin (all P<0.05).Conversely, albumin and hemoglobin levels were significantly lower in the critical illness group (both P<0.05). ROC curve analysis revealed that the optimal cutoff value for the duration of fever in predicting severe HMPV infection was 4.5 days.The multivariate binary Logistic regression analysis revealed that prolonged fever duration (>4.5 days) ( OR=28.00, 95% CI 5.09-153.93, P<0.001), anorexia ( OR=11.72, 95% CI 1.26-108.75, P=0.030), and immune dysfunction ( OR=36.71, 95% CI 1.55-867.31, P=0.026) were independent risk factors for severe HMPV infection. A predictive model for critical illness was constructed based on these independent risk factors. ROC curve analysis demonstrated excellent discriminative ability, with an area under the curve of 0.96 (95% CI 0.92-1.00, P<0.001). The optimal predictive probability threshold was 0.17, yielding a sensitivity of 0.93 and specificity of 0.92. The calibration curve closely approximated the ideal curve, indicating good model calibration ( P=0.157). Conclusions:Severe HMPV infection is predominantly observed as a single infection and is prone to progress to severe pneumonia, with fever, cough, and wheezing as the main clinical manifestations. A subset of cases progresses to critical illness, though the overall prognosis is favorable. Prolonged fever duration (>4.5 days), anorexia, and immune dysfunction were independent risk factors for critical illness.The risk prediction model constructed for pediatric critical HMPV infection demonstrated robust discriminative ability with excellent calibration.

The traditional medical quality management model has many problems,such as excessive reliance on experience,poor coordination among departments,and lagging supervision,innovating medical quality management models has become an essential issue for the high-quality development of hospitals.A tertiary Grade A general hospital built a"data element multiplier"ecological chain for medical quality management,and established a complete closed-loop management system for medical quality management under the"Internet plus"model.Finally,the mobile medical quality management platform was built.Jointly driven by"Internet plus"and"data element multiplier",the level of lean management has been significantly improved,providing practical reference for hospitals at the same level.

The traditional medical quality management model has many problems,such as excessive reliance on experience,poor coordination among departments,and lagging supervision,innovating medical quality management models has become an essential issue for the high-quality development of hospitals.A tertiary Grade A general hospital built a"data element multiplier"ecological chain for medical quality management,and established a complete closed-loop management system for medical quality management under the"Internet plus"model.Finally,the mobile medical quality management platform was built.Jointly driven by"Internet plus"and"data element multiplier",the level of lean management has been significantly improved,providing practical reference for hospitals at the same level.

Objective:To analyze the distribution and epidemiological characteristics of non-bacterial pathogens in hospitalized children with acute respiratory infections at a tertiary pediatric hospital in Shanghai during 2023.Methods:A retrospective study was conducted on 10 591 children with acute respiratory tract infections who were hospitalized in Shanghai Children's Hospital from January to December 2023. A multiplex PCR combined with capillary electrophoresis platform was used to detect 11 common non-bacterial respiratory pathogens（including viruses and atypical pathogens）. Statistical analysis was carried out using SPSS 29.0 software. Qualitative data were presented as numbers and percentages，and the Chi-square test was employed to make comparisons between groups，aiming to analyze the differences in the distribution of different pathogens according to gender，age group，and season. Additionally，based on the severity of the disease，patients were calssified into a severe pneumonia group and a non-severe pneumonia group to further explore the characteristics of the pathogen spectrum of severe pneumonia.Results:The total detection rate of pathogens was 54.39%（5 760/10 591），and the proportion of mixed infections was 12.76%（735/5 760）. The dominant pathogens and their proportions were as follows： Mycoplasma pneumoniae（19.20%，2 034/10 591），human rhinovirus（12.16%，1 288/10 591），influenza A virus（8.31%，880/10 591），and respiratory syncytial virus（8.14%，862/10 591）. Epidemiological characteristics showed that：（1）In terms of age： Mycoplasma pneumoniae was more common in older children（29.55%，901/3 049，in the school-age group，χ 2 = 653.67， P<0.001）. Influenza A virus had a high incidence in the adolescent group（11.34%，45/397，χ 2=48.69， P<0.001）. Respiratory syncytial virus was most susceptible in the infant group（20.94%，280/1 337，χ 2=739.92， P<0.001）. Human rhinovirus showed the characteristic of general susceptibility across all ages.（2）Monthly and seasonal distribution： Mycoplasma pneumoniae had a seasonal epidemic in summer and autumn（it began to rise in May and peaked in October at 34.22%，439/1 283）；influenza A virus had a bimodal distribution in spring and winter（the peak was 37.15% in March，315/848）；respiratory syncytial virus had a dominant epidemic in spring and summer（the detection rate was 21.24% in May，206/970），and human rhinovirus was prevalent throughout the year.（3）Clinical correlation：The detection rate of pathogens in the severe pneumonia group was significantly higher than that in the non-severe group：84.19%（426/506） vs 2.89%（5 334/10 085），χ 2=56.23， P<0.001. Conclusions:In 2023，the pathogen spectrum of hospitalized children with acute respiratory infections in the Shanghai area exhibits an epidemic pattern dominated by Mycoplasma pneumoniae，and its transmission dynamics are significantly age-dependent. This study delineates the pathogen-host-environment tripartite interactions，establishing an evidence-based foundation for formulating precision diagnostic-therapeutic algorithms and seasonal nosocomial infection prevention frameworks.

Objective:To analyze the distribution and epidemiological characteristics of non-bacterial pathogens in hospitalized children with acute respiratory infections at a tertiary pediatric hospital in Shanghai during 2023.Methods:A retrospective study was conducted on 10 591 children with acute respiratory tract infections who were hospitalized in Shanghai Children's Hospital from January to December 2023. A multiplex PCR combined with capillary electrophoresis platform was used to detect 11 common non-bacterial respiratory pathogens（including viruses and atypical pathogens）. Statistical analysis was carried out using SPSS 29.0 software. Qualitative data were presented as numbers and percentages，and the Chi-square test was employed to make comparisons between groups，aiming to analyze the differences in the distribution of different pathogens according to gender，age group，and season. Additionally，based on the severity of the disease，patients were calssified into a severe pneumonia group and a non-severe pneumonia group to further explore the characteristics of the pathogen spectrum of severe pneumonia.Results:The total detection rate of pathogens was 54.39%（5 760/10 591），and the proportion of mixed infections was 12.76%（735/5 760）. The dominant pathogens and their proportions were as follows： Mycoplasma pneumoniae（19.20%，2 034/10 591），human rhinovirus（12.16%，1 288/10 591），influenza A virus（8.31%，880/10 591），and respiratory syncytial virus（8.14%，862/10 591）. Epidemiological characteristics showed that：（1）In terms of age： Mycoplasma pneumoniae was more common in older children（29.55%，901/3 049，in the school-age group，χ 2 = 653.67， P<0.001）. Influenza A virus had a high incidence in the adolescent group（11.34%，45/397，χ 2=48.69， P<0.001）. Respiratory syncytial virus was most susceptible in the infant group（20.94%，280/1 337，χ 2=739.92， P<0.001）. Human rhinovirus showed the characteristic of general susceptibility across all ages.（2）Monthly and seasonal distribution： Mycoplasma pneumoniae had a seasonal epidemic in summer and autumn（it began to rise in May and peaked in October at 34.22%，439/1 283）；influenza A virus had a bimodal distribution in spring and winter（the peak was 37.15% in March，315/848）；respiratory syncytial virus had a dominant epidemic in spring and summer（the detection rate was 21.24% in May，206/970），and human rhinovirus was prevalent throughout the year.（3）Clinical correlation：The detection rate of pathogens in the severe pneumonia group was significantly higher than that in the non-severe group：84.19%（426/506） vs 2.89%（5 334/10 085），χ 2=56.23， P<0.001. Conclusions:In 2023，the pathogen spectrum of hospitalized children with acute respiratory infections in the Shanghai area exhibits an epidemic pattern dominated by Mycoplasma pneumoniae，and its transmission dynamics are significantly age-dependent. This study delineates the pathogen-host-environment tripartite interactions，establishing an evidence-based foundation for formulating precision diagnostic-therapeutic algorithms and seasonal nosocomial infection prevention frameworks.

Objective:To investigate the clinical characteristics of children with severe human metapneumovirus (HMPV) infection and identify the risk factors associated with critical illness.Methods:A retrospective cohort study was conducted, enrolling 157 hospitalized children with severe HMPV infection, who tested positive for HMPV nucleic acid via PCR-capillary electrophoresis fragment analysis of nasopharyngeal secretions at Shanghai Children′s Hospital from January 2021 to December 2023.Clinical features, co-infections, treatment, and outcomes were collected. Based on the diagnostic criteria for severe HMPV infection, the patients were categorized into a critical illness group and a non-critical illness group. Intergroup comparisons were performed using the χ2 test or the Mann-Whitney U test. Multivariate Logistic regression analysis was employed to identify risk factors for critical HMPV infection and to establish a predictive model.The performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis and calibration curves. Results:Among the 157 cases of severe HMPV infection, there were 67 males and 90 females, with an onset age of 39.0 (20.0, 55.5) months. Single-pathogen infection was observed in 125 cases (79.6%), while mixed infections accounted for 32 cases (20.4%).Severe pneumonia was diagnosed in 136 cases (86.6%).The predominant manifestations of severe HMPV infection included fever 152 cases (96.8%), cough 151 cases (96.2%), and wheezing 94 cases (59.9%).Sixty-eight patients (43.3%) required non-invasive respiratory support, 58 cases (36.9%) were admitted to the intensive care unit, and 22 cases (14.0%) underwent mechanical ventilation. Of the total, 149 cases (94.9%) were discharged with improvement, 8 cases (5.1%) were discharged against medical advice, and there were no fatal cases. The cohort was further stratified into a critical illness group 31 cases and a non-critical illness group 126 cases. Compared to the non-critical illness group, the critical illness group exhibited significantly higher rates of respiratory distress, lethargy, and intercostal retractions, along with a higher proportion of underlying comorbidities, and elevated levels of C-reactive protein and procalcitonin (all P<0.05).Conversely, albumin and hemoglobin levels were significantly lower in the critical illness group (both P<0.05). ROC curve analysis revealed that the optimal cutoff value for the duration of fever in predicting severe HMPV infection was 4.5 days.The multivariate binary Logistic regression analysis revealed that prolonged fever duration (>4.5 days) ( OR=28.00, 95% CI 5.09-153.93, P<0.001), anorexia ( OR=11.72, 95% CI 1.26-108.75, P=0.030), and immune dysfunction ( OR=36.71, 95% CI 1.55-867.31, P=0.026) were independent risk factors for severe HMPV infection. A predictive model for critical illness was constructed based on these independent risk factors. ROC curve analysis demonstrated excellent discriminative ability, with an area under the curve of 0.96 (95% CI 0.92-1.00, P<0.001). The optimal predictive probability threshold was 0.17, yielding a sensitivity of 0.93 and specificity of 0.92. The calibration curve closely approximated the ideal curve, indicating good model calibration ( P=0.157). Conclusions:Severe HMPV infection is predominantly observed as a single infection and is prone to progress to severe pneumonia, with fever, cough, and wheezing as the main clinical manifestations. A subset of cases progresses to critical illness, though the overall prognosis is favorable. Prolonged fever duration (>4.5 days), anorexia, and immune dysfunction were independent risk factors for critical illness.The risk prediction model constructed for pediatric critical HMPV infection demonstrated robust discriminative ability with excellent calibration.

Objective:To analyze the clinical characteristics and evaluate the effect and safety of anti-vascular endothelial growth factor (VEGF) therapy in retinopathy of prematurity (ROP) in Sichuan province.Methods:A retrospective study. From January 2013 to January 2022, 156 patients (306 eyes) with ROP who received intravitreal anti-VEGF therapy for the first time in the Department of Ophthalmology, West China Hospital of Sichuan University were selected. According to the type of anti-VEGF drugs, the children were divided into intravitreal injection of ranibizumab (IVR) group and intravitreal injection of conbercept (IVC) group; IVC group was divided into hospital group and referral group according to the different paths of patients. After treatment, the patients were followed up until the disease degenerated (vascular degeneration or complete retinal vascularization) or were hospitalized again for at least 6 months. If the disease recurred or progressed, the patients were re-admitted to the hospital and received anti-VEGF drug treatment, laser treatment or surgical treatment according to the severity of the disease. Clinical data of these children was collected, including general clinical characteristics: gender, gestational age at birth (GA), birth weight (BW), history of oxygen inhalation; pathological condition: ROP stage, zone, whether there were plus lesions; treatment: treatment time, postmenstrual gestational age at the time of the first anti-VEGF drug treatment; prognosis: re-treat or not, time of re-treatment, mode of re-treatment; adverse events: corneal edema, lens opacity, endophthalmitis, retinal injury, and treatment-related systemic adverse reactions. The measurement data between groups were compared by t test, and the count data were compared by χ2 test or rank sum test. Results:Of the 306 eyes of 156 children with ROP, 74 were male (47.44%, 74/156) and 82 were female (52.56%, 82/156). Each included child had a history of oxygen inhalation at birth. The GA was (28.43±2.19) (23.86-36.57) weeks, BW was (1 129±335) (510-2 600) g, and the postmenstrual gestational age was (39.80±3.04) (31.71-49.71) weeks at the time of the first anti-VEGF drug treatment. All patients were diagnosed as type 1 ROP, including 26 eyes (8.50%, 26/306) of aggressive ROP (A-ROP), 39 eyes (12.74%, 39/306) of zone Ⅰ lesions, and 241 eyes (78.76%, 241/306) of zone Ⅱ lesions. The children were treated with intravitreal injection of anti-VEGF drugs within 72 hours after diagnosis. Among them, 134 eyes (43.79%, 134/306) of 68 patients were treated with IVR, and 172 eyes (56.21%, 172/306) of 88 patients were treated with IVC. In IVC group, 67 eyes of 34 patients (38.95%, 67/172) were in the hospital group and 105 eyes of 54 patients (61.05%, 105/172) were in the referral group. 279 eyes (91.18%, 279/306) were improved after one treatment, 15 eyes (4.90%, 15/306) were improved after two treatments, and 12 eyes (3.92%, 12/306) were improved after three treatments. The one-time cure rate of IVR group was lower than that of IVC group, but the difference was not statistically significant ( χ2=1.665, P=0.197). In different ROP categories, IVC showed better therapeutic effect in A-ROP, and its one-time cure rate was higher than that in IVR group, with statistically significant difference ( χ2=7.797, P<0.05). In the hospital group of IVC group, the GA, BW and the postmenstrual gestational age at first time of anti-VEGF drug treatment were lower than those in the referral group, and the difference was statistically significant ( t=-2.485, -2.940, -3.796; P<0.05). The one-time cure rate of the hospital group and the referral group were 94.94%, 92.38%, respectively. The one-time cure rate of the hospital group was slightly higher than that of the referral group, but the difference was not statistically significant ( χ2=0.171, P=0.679). In this study, there were no ocular and systemic adverse reactions related to drug or intravitreal injection in children after treatment. Conclusions:Compared with the characteristics of ROP in developed countries, the GA, BW and postmenstrual gestational age of the children in Sichuan province are higher. Both IVR and IVC can treat ROP safely and effectively. There is no significant difference between the two drugs in the overall one-time cure effect of ROP, but IVC performed better in the treatment of A-ROP in this study.

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.

At present,radiofrequency ablation (RFA),as a minimally-invasive and effective therapeutic means,is widely employed for the treatment of hepatic tumors.This technique is especially suitable for the patients with liver tumor who are unwilling to accept surgery or who cannot undergo surgery.In the past 20 years,great development and progress have been achieved in RFA technology.As a main therapeutic tool,the property of the radiofrequency electrode needle has great influence on the curative effect.This paper aims to make a comprehensive summary about the radiofrequency electrode needles that are currently used in clinical practice or are still in the research and development stage,focusing on the following special radiofrequency electrode needles,including multiple-point expandable electrode needle,perfusion electrode needle,internal cooling electrode needle and bipolar electrode needle.The properties and distinguishing features of these radiofrequency electrode needles will be discussed,and their advantages and disadvantages will be compared.In order to improve the curative effect of RFA for hepatic tumors,further research is suggested.

Objective: To explore influence of shift work in nursing on sleep and circadian blood pressure and rhythm. Methods: A total of 29 shift nurses, who worked in our hospital for a long period, were enrolled as shift nurse group. Another 32 day shift nurses were regarded as day shift nurse control group（control group）. Both groups received Pittsburgh sleep quality index (PSQI) assessment and 24h ambulatory blood pressure monitoring (ABPM). Results: Compared with control group, PSQI assessment showed that most factor scores and PSQI total score [(8.67±2.16) scores vs. (11.98±3.30) scores] significantly increased in shift nurse group（P<0.05~0.01）; 24h ABPM showed that mean nighttime SBP [(106.51±12.94) mmHg vs. (115.74±13.72) mmHg] and nighttime DBP [(71.23±9.76) mmHg vs. (74.96±10.68) mmHg] significantly rose in shift nurse group, P<0.05; Mean SBP decreasing rate [(7.84±1.52)% vs. (3.66±1.47)%] and mean DBP decreasing rate [(6.55±1.39)% vs. (2.83±0.51)%], SBP dipper percentage (59.38% vs. 31.03%) and DBP dipper percentage (68.75% vs. 27.59%) significantly reduced, SBP non-dipper percentage (40.63% vs. 68.97%) and DBP non-dipper percentage (31.25% vs. 72.41%) significantly rose in shift nurses group, P<0.05~0.01.Conclusions: There exists definite somnipathy and significant change of circadian blood pressure and rhythm in shift nurses.