Objective:To construct a diagnostic prediction model for childhood asthma and conduct a preliminary evaluation based on the test results of specific IgE (sIgE) for airborne allergens and in combination with clinical data.Methods:This study is a case-control study. A total of 4 338 cases that completed the sIgE test for airborne allergens in the Allergy Department of Beijing Children′s Hospital Affiliated to Capital Medical University from January to December 2023 were selected as the research subjects. They were divided into the asthma group and the non-asthma group based on the diagnostic information. Age, gender, cough and wheezing symptoms, and the classification results of sIgE concentrations of 15 airborne allergens were collected as the predictor variables of the asthma diagnostic prediction model. Differential analysis and LASSO regression were employed for the screening of predictor variables. The multivariate logistic regression method was applied to construct the nomogram prediction model. The data set was randomly split at a ratio of 7∶3 into a training set (3 036 cases) for constructing the prediction model and a validation set (1 302 cases) for testing the predictive efficacy of the model. The area under the receiver operating characteristic (ROC) curve (AUC), the Hosmer-Lemeshow calibration curve were utilized to assess the discrimination and goodness of fit of the model, and the clinical decision curve (DCA) was adopted to evaluate the clinical application value of the model.Results:Among 4 338 pediatric cases, children aged 0 to <3 years accounted for 10.17% (441 cases), those aged 3 to <6 years accounted for 36.49% (1 583 cases), those aged 6 to <12 years accounted for 46.98% (2 038 cases), and those aged 12 to 18 years accounted for 6.36% (276 cases). Males constituted 65.17% (2 827 cases), and females 34.83% (1 511 cases). The proportion of children without wheezing symptoms was 41.47% (1 799 cases), while those with wheezing symptoms was 58.53% (2 539 cases). The asthma group accounted for 41.77% (1 812 cases), and the non-asthma group for 58.23% (2 526 cases). Statistically significant differences were observed between the asthma group and the non-asthma group in 18 predictive variables including age, gender, wheezing symptoms, d1, d2, e1, e5, g2, g6, m6, t11, t3, t6, w1, w22, w6, wx5, and m3 ( P<0.05). LASSO regression analysis identified six predictor variables: age (calculated in months), cough and wheezing symptoms, and sIgE of four airborne allergens, namely, Dermatophagoides pteronyssinus (d1), Canis familiaris dander (e5), Aspergillus fumigatus (m3), and Artemisia vulgaris pollen (w6).Multifactorial regression analysis revealed that the contribution degrees of the above-mentioned predictor variables to the asthma diagnosis prediction model were ranked as follows: cough and wheezing symptoms ( OR=24.37, P<0.001), m3 ( OR=1.34, P<0.001), d1 ( OR=1.22, P<0.001), e5 ( OR=1.12, P=0.028), w6 ( OR=1.11, P<0.001), and age ( OR=1.01, P<0.001).The AUCs of the nomogram prediction model for the training set and the validation set were 0.853 (95% CI: 0.840-0.866) and 0.838 (95% CI: 0.817-0.860), respectively. The Hosmer-Lemeshow calibration curve indicated a good fit ( P=0.215 for the training set; P=0.352 for the validation set). The DCA of the validation set demonstrated that when the probability threshold for predicting the occurrence of childhood asthma was 8%-92%, the model had the best applicability. Conclusion:By combining age, cough and wheezing symptoms, and sIgE of the four airborne allergens (d1, e5, m3, and w6) selected from 15 airborne allergens, a childhood asthma diagnosis prediction model with good predictive performance and clinical practicability was constructed. It can serve as a simple and convenient tool for accurately identifying asthma and provides a practical basis for the application of artificial intelligence big data analysis models in the prevention, treatment, and management of childhood asthma.

Objective:To construct a diagnostic prediction model for childhood asthma and conduct a preliminary evaluation based on the test results of specific IgE (sIgE) for airborne allergens and in combination with clinical data.Methods:This study is a case-control study. A total of 4 338 cases that completed the sIgE test for airborne allergens in the Allergy Department of Beijing Children′s Hospital Affiliated to Capital Medical University from January to December 2023 were selected as the research subjects. They were divided into the asthma group and the non-asthma group based on the diagnostic information. Age, gender, cough and wheezing symptoms, and the classification results of sIgE concentrations of 15 airborne allergens were collected as the predictor variables of the asthma diagnostic prediction model. Differential analysis and LASSO regression were employed for the screening of predictor variables. The multivariate logistic regression method was applied to construct the nomogram prediction model. The data set was randomly split at a ratio of 7∶3 into a training set (3 036 cases) for constructing the prediction model and a validation set (1 302 cases) for testing the predictive efficacy of the model. The area under the receiver operating characteristic (ROC) curve (AUC), the Hosmer-Lemeshow calibration curve were utilized to assess the discrimination and goodness of fit of the model, and the clinical decision curve (DCA) was adopted to evaluate the clinical application value of the model.Results:Among 4 338 pediatric cases, children aged 0 to <3 years accounted for 10.17% (441 cases), those aged 3 to <6 years accounted for 36.49% (1 583 cases), those aged 6 to <12 years accounted for 46.98% (2 038 cases), and those aged 12 to 18 years accounted for 6.36% (276 cases). Males constituted 65.17% (2 827 cases), and females 34.83% (1 511 cases). The proportion of children without wheezing symptoms was 41.47% (1 799 cases), while those with wheezing symptoms was 58.53% (2 539 cases). The asthma group accounted for 41.77% (1 812 cases), and the non-asthma group for 58.23% (2 526 cases). Statistically significant differences were observed between the asthma group and the non-asthma group in 18 predictive variables including age, gender, wheezing symptoms, d1, d2, e1, e5, g2, g6, m6, t11, t3, t6, w1, w22, w6, wx5, and m3 ( P<0.05). LASSO regression analysis identified six predictor variables: age (calculated in months), cough and wheezing symptoms, and sIgE of four airborne allergens, namely, Dermatophagoides pteronyssinus (d1), Canis familiaris dander (e5), Aspergillus fumigatus (m3), and Artemisia vulgaris pollen (w6).Multifactorial regression analysis revealed that the contribution degrees of the above-mentioned predictor variables to the asthma diagnosis prediction model were ranked as follows: cough and wheezing symptoms ( OR=24.37, P<0.001), m3 ( OR=1.34, P<0.001), d1 ( OR=1.22, P<0.001), e5 ( OR=1.12, P=0.028), w6 ( OR=1.11, P<0.001), and age ( OR=1.01, P<0.001).The AUCs of the nomogram prediction model for the training set and the validation set were 0.853 (95% CI: 0.840-0.866) and 0.838 (95% CI: 0.817-0.860), respectively. The Hosmer-Lemeshow calibration curve indicated a good fit ( P=0.215 for the training set; P=0.352 for the validation set). The DCA of the validation set demonstrated that when the probability threshold for predicting the occurrence of childhood asthma was 8%-92%, the model had the best applicability. Conclusion:By combining age, cough and wheezing symptoms, and sIgE of the four airborne allergens (d1, e5, m3, and w6) selected from 15 airborne allergens, a childhood asthma diagnosis prediction model with good predictive performance and clinical practicability was constructed. It can serve as a simple and convenient tool for accurately identifying asthma and provides a practical basis for the application of artificial intelligence big data analysis models in the prevention, treatment, and management of childhood asthma.

The killing effect of radiation therapy on healthy cells has led to the creation of targeted radionuclide therapy,which effectively reduces the damage to surrounding normal cells.At present,alpha(α)and beta(β)radionuclides are the research hotspots of targeted therapy.Numerous preclinical and clinical studies have shown that radiation therapy not only has local anti-tumor effects,but also exerts systemic anti-tumor effects by triggering the body's immune response.This paper describes in detail the characteristics and clinical applications of commonly used radionuclides,and discusses the mechanism of radiation-triggered body immune response as well as the related research on the combined use of radiation therapy,targeted radionuclide therapy and immunotherapy.

Glioblastoma(GBM)is a lethal cancer with limited therapeutic options.Dendritic cell(DC)-based cancer vaccines provide a promising approach for GBM treatment.Clinical studies suggest that other immu-notherapeutic agents may be combined with DC vaccines to further enhance antitumor activity.Here,we report a GBM case with combination immunotherapy consisting of DC vaccines,anti-programmed death-1(anti-PD-1)and poly I:C as well as the chemotherapeutic agent cyclophosphamide that was integrated with standard chemoradiation therapy,and the patient remained disease-free for 69 months.The patient received DC vaccines loaded with multiple forms of tumor antigens,including mRNA-tumor associated antigens(TAA),mRNA-neoantigens,and hypochlorous acid(HOCl)-oxidized tumor lysates.Furthermore,mRNA-TAAAs were modified with a novel TriVac technology that fuses TAAs with a destabilization domain and inserts TAAs into full-length lysosomal associated membrane protein-1 to enhance major histo-compatibility complex(MHC)class Ⅰ and Ⅱ antigen presentation.The treatment consisted of 42 DC cancer vaccine infusions,26 anti-PD-1 antibody nivolumab administrations and 126 poly I:C injections for DC infusions.The patient also received 28 doses of cyclophosphamide for depletion of regulatory T cells.No immunotherapy-related adverse events were observed during the treatment.Robust antitumor CD4+and CD8+T-cell responses were detected.The patient remains free of disease progression.This is the first case report on the combination of the above three agents to treat glioblastoma patients.Our results suggest that integrated combination immunotherapy is safe and feasible for long-term treatment in this patient.A large-scale trial to validate these findings is warranted.

Abstract OBJECTIVE To determine the index weight, optimize the extraction process of gastropathy oral thick paste 1. METHODS Taking the amount of water added, extraction time and extraction times as factors, depend on the single factor experiment, L9(34) orthogonal table was selected to design the experiment. The content of chlorogenic acid was determined by HPLC and the content of total flavonoids content was determined by ultraviolet spectrophotometry. With the above two contents plus the yield of dry extractum as the evaluation index, the weights were assigned based on the analytic hierarchy process, entropy weight method and independence weight method, and the extraction process was optimized by orthogonal experimental design. RESULTS Multi-index scoring was more scientific and reasonable, and the final optimal extraction conditions for gastropathy oral thick paste 1 were as follows: add 8 times the amount of water, extract twice and 0.5 h for each time. CONCLUSION The optimized extraction process using analytic hierarchy process, entropy weight method and independence weight method is reasonable, feasible, stable, and reproducible, which is suitable for the preparation of gastropathy oral thick paste 1, providing reference for subsequent research and development.

Objective:To understand the attitudes of obstetricians and midwives towards the development of nurse practitioner in China.Methods:The phenomenological method in qualitative research was used to conduct semi-structured interviews with 24 medical staff in the third-A general hospitals and women and children's hospitals in Guangzhou and Dongguan City. The interview data were analyzed by Colaizzi's 7-step analysis method.Results:Four themes were extracted, namely, unanimous approval attitude, imperfect midwifery discipline and management system, insufficient independent practice capacity, low support and recognition in midwifery area.Conclusions:Obstetricians and midwives hold a positive attitude towards the development of midwifery nurse practitioner. At the same time,its development is restricted in many aspects. They can gradually develop midwife′s legislation, improve the management system, try some prescription rights, and increase the education and talents of midwifery subjects. Cultivation and promotion of social recognition will help gradually train midwifery nurse practitioner in China.

Renal cell carcinoma is one of the ten multiple cancers, and its incidence rate and mortality rate have been increasing in more than 20 years. Clear cell renal cell carcinoma (ccRCC) is the most common histopathological subtype. Cyclic ribonucleic acids (circRNAs) are noncoding ribonucleic acids, which are widely distributed with diverse cellular functions and have organ- and tissue-specific expression patterns. Recent studies have shown that circRNAs are abnormally expressed in ccRCC and play an important role in the occurrence and development of ccRCC. However, there are few researches and related mechanisms of circRNAs regulating the biological behavior of ccRCC. Therefore, the paper mainly describes the research progress of circRNAs regulating the biological behavior of ccRCC and discusses its potential as a biomarker for early diagnosis and prognosis of ccRCC and targeted therapy.

This study was a single-center large-sample case-control study.Data of 1 106 elderly patients who underwent unilateral total hip arthroplasty from June 2013 to May 2019 were collected, including items such as patient′s baseline characteristics, comorbidities, perioperative medication, intraoperative blood pressure, and postoperative outcomes.Patients were divided into postoperative nausea and vomiting(PONV)group and non-PONV group according to whether nausea and vomiting occurred within 24 h after operation.Logistic regression analysis was used to determine the risk factors for PONV.The incidence of PONV was 11.03%.Female, intraoperative use of dezocine, and intraoperative hypotension(duration>3 min or cumulative time>6 min)are independent risk factors for PONV, while femoral neck fractures and intraoperative use of dexamethasone are protective factors.

OBJECTIVE: To explore the genetic and clinical characteristics of near-tetraploidy/tetraploidy karyotype (NT/T) in patients with myelodysplastic syndrome (MDS). METHODS: Cytogenetic findings of 1576 inpatients with primary MDS were retrospective analyzed, among which 9 were diagnosed with NT/T. Clinical data including gender, age, morphology, genetic feature and prognosis were analyzed. RESULTS: The prevalence of MDS patients with NT/T (NT/T-MDS) among all cases was 0.57%. Karyotyping analysis suggested that eight MDS patients had sole NT/T, while the remainder one had a complex karyotype. In addition to the typical morphology of MDS, NT/T-MDS had unique morphology including huge blast, double-nuclear cell and irregular nuclear membrane. One NT/T-MDS patient gave up therapy, and the remaining eight underwent the first course of treatment, albeit with poor prognosis. Only one patient had complete remission, one had partial remission, three had no remission; and three had converted to acute myeloid leukemia. CONCLUSION NT/T-MDS is rare and has unique morphology. Generally, NT/T-MDS patients have poor prognosis. However, NT/T cannot be simply classified as high-risk group, but with consideration whether they have affected particular chromosomal structures as well as other clinical data.
Humans ; Karyotype ; Leukemia, Myeloid, Acute/complications* ; Myelodysplastic Syndromes/pathology* ; Prognosis ; Retrospective Studies ; Tetraploidy

Polymyxin B is mainly used in the treatment of severe drug-resistant gram-negative bacterial infection. In recent years, more and more cases of skin pigmentation caused by polymyxin B have been reported. The incidence of polymyxin B-related skin pigmentation in infants was higher than that in adults. The mechanism of polymyxin B-induced hyperpigmentation is not clear, which may be related to histamine release, skin inflammation, and the stimulation of melanin synthesis induced by polymyxin B. Although skin pigmentation has no significant effect on the treatment and prognosis in patients, it may cause psychological burden and affect the life quality, which should be paid more attention to and further studied.