In October 2024, a 36-year-old female patient with botulinum toxin type A intoxication for 15d was admitted to the Department of Neurology of Northern Jiangsu People’s Hospital. Although type A botulinum antitoxin (BAT) therapy remained effective, the patient developed a serum sickness-like reaction (SSLR) on day 4 of treatment after receiving eight consecutive desensitizing intramuscular injections of BAT. After stopping the injection of the drug and giving intravenous dexamethasone, the patient’s symptoms improved. On the 6th day after stopping the injection of botulinum antitoxin type A, the patient was followed up in the outpatient clinic and the skin symptoms had almost disappeared. This article analyzed the patient’s medical records and explored the association between BAT and SSLR, suggesting that medical personnel should be alert to the risk of adverse reactions when applying antitoxin therapy, and that they should identify and intervene in a timely manner in order to ensure the safety of the medication and therapeutic efficacy of the patients.

Objective To investigate the value of first platelet count(PLT)to respiratory rate(RR)ratio(PLT/RR)on admission in the diagnosis and prognosis of secondary sepsis in pneumonia patients.Methods A total of 100 patients with pneumonia admitted to the First Affiliated Hospital of Army Medical University from May 2023 to August 2024 were selected as subjects.According to the presence or absence of pneumonia sepsis,they were divided into sepsis group(63 cases)and non-sepsis group(37 cases).The secondary sepsis in pneumonia pa-tients were followed up continuously for 30 d.According to the survival situation,they were divided into sur-vival group(54 cases)and death group(9 cases).PLT in peripheral blood was measured,vital signs were col-lected on the first day of admission,and PLT/RR was calculated.The receiver operating characteristic curve was used to evaluate the predictive value of PLT,RR and PLT/RR for secondary sepsis in pneumonia pa-tients.The systemic inflammatory response syndrome(SIRS)score,modified early warning score(MEWS)and quick sequential organ failure assessment(qSOFA)score on admission were calculated,and the clinical predictive value of SIRS score,MEWS and qSOFA score was compared.Results PLT and PLT/RR in sepsis group were lower than those in non-sepsis group(P<0.000 1),RR was higher than that in non-sepsis group(P<0.01).The area under the curve(AUC,95%CI)of PLT,RR and PLT/RR were 0.858(0.785-0.931),0.693(0.589-0.796)and 0.902(0.843-0.962),respectively.The optimal cut-off values were 146.5×109/L,20.5 per minute and 8.075,respectively.The specificity were 8.1%,83.8%and 2.7%,respec-tively.The sensitivity was 33.3%,50.8%and 30.2%,respectively.Compared with the non-sepsis group,the sepsis group had a significantly higher SIRS score(P<0.001),a significantly lower MEWS(P<0.000 1),and no significant difference in qSOFA score between the two groups(P>0.05).The AUC(95%CI)of SIRS score,MEWS and qSOFA score in predicting secondary sepsis in pneumonia patients were 0.717(0.616-0.818),0.748(0.650-0.846)and 0.505(0.389-0.622),respectively.The optimal cut-off values were 4.5,2.5 and 1.5 points,respectively.The specificity were 91.9%,2.7%and 100.0%,respectively.The sensitivity was 42.9%,33.3%and 6.3%,respectively.PLT and PLT/RR in death group were lower than those in sur-vival group(P<0.05),RR was higher than that in survival group(P<0.05).Secondary sepsis in pneumonia patients were followed up for 30 d,Kaplan-Meier survival curve showed that patients with PLT≤138.5×109/L had a lower 30 d survival rate(P=0.007 8).Patients with RR>24.5 per minute had a lower 30 d sur-vival rate(P=0.016 1).Patients with PLT/RR≤6.375 had a lower 30 d survival rate(P=0.002 3).Conclu-sion PLT/RR can be used as a biological index to predict secondary sepsis in pneumonia patients,which is better than SIRS score,MEWS and qSOFA score,and the prognosis of secondary sepsis in pneumonia patients with low PLT/RR is worse.

This study aims to investigate whether the dietary supplement coenzyme Q10(CoQ10)alleviates bisphenol A(BPA)-induced mouse Leydig cell line(TM3)damage through autophagy pathway.Cell activity was measured by CCK-8 assay when treated with different concentrations of BPA for 24 h.TM3 cells were then divided into 5 groups:CON group,BPA group,Torin2 group,CQ group and BPA+CoQ10 group,with three repeats in each group.The morphology of TM3 cells were observed under inverted light microscope.Western blot was used to determine the protein ex-pression of p62 and LC3-Ⅰ/Ⅱ.The autophagy level of TM3 cells was detected by MDC cell auto-phagy staining,the mRNA expression levels of Atg7,Beclin 1,p62 and Atg5 genes were deter-mined by RT-qPCR,and the apoptosis rate of TM3 cells was detected by flow cytometry.The results showed that compared with 0 μmol/L BPA treatment group,the viability of TM3 cells de-creased significantly after 24 h treatment with 60 μmol/L BPA(P＜0.01).Compared with CON group,the number of TM3 cells markedly reduced in the BPA-treated group,the expression of au-tophagy-related proteins(p62,LC3-Ⅱ)significantly increased(P＜0.01),comparable to the CQ group.The MDC fluorescence intensity dramatically enhanced(P＜0.01),the mRNA expression levels of autophagy-related genes(Atg7,Beclin1,p62,Atg5)significantly elevated(P＜0.01),and the apoptosis rate significantly increased(P＜0.01).Compared with BPA group,the expression levels of autophagy-related genes Atg7 and Beclin1 mRNA(P＜0.05),p 62 and Atg5 mRNA(P＜0.01)in TM3 cells treated with BPA+CoQ10 significantly decreased.Moreover,the expres-sion levels of autophagy-related protein p62(P＜0.01)and LC3-Ⅱ(P＜0.05),MDC fluorescence intensity(P＜0.05)and apoptosis rate(P＜0.01)also markedly reduced.In conclusion,CoQ10 could subsequently reduce the apoptosis of TM3 cells by improving the abnormal autophagy flux induced by BPA.

Objective:The prevalence of seasonal allergic rhinitis （AR） and its combined diseases have been increasing recently. The purpose was to investigate the clinical characteristics and treatment of seasonal AR in northern China. Methods:A cross-sectional study was conducted in AR patients. The Visual analogue scale （VAS）, combined diseases, clinical features, allergic pollen and treatments were analyzed. Results:Of the 789 AR subjects included, 54.1% had a family history of atopic disease. The mian course wa s（7.4±5.9） years. 95.4% of the subjects had moderate to severe AR. The prevalence rates of allergic conjunctivitis （AC）, allergic asthma （AA）, and pollen food allergy syndrome （PFAS） were 71.1%, 19.0%, and 39.5% respectively. Among the patients, 13.8% presented with only AR, while 39.3% had an AR combined with other disease, and 1.9% exhibited comorbidity involving five different diseases. VAS was positively correlated with the number of comorbidities（r=0.186, P<0.001）. The mugwort exhibited the highest rate of pollen sensitization （48.9%）, closely followed by cypress （48.3%）. The prevalence of mono-sensitization to pollen was 20.2%, while the positive rates for double-sensitized pollens and more than three sensitized pollens were 17.4% and 62.4%, respectively. Among the study participants, 19.9% did not receive any form of treatment, while 66.2% were administered oral medication and 27.5% underwent nasal steroid spray therapy. The proportion of individuals receiving anti-IgE monoclonal antibodies was 4.3%, and allergen immunotherapy （AIT） treatment was undergone by 11.8%. Meanwhile, 41.2% of patients undergoing anti-IgE monoclonal antibody treatment also received AIT. The distribution of therapy types among patients was as follows: 44.7% received a single type, 22.2% received two types, and 9.8% received three types of therapy. Additionally, there was a subset of patients（1%） who were undergoing five distinct forms of treatment. The VAS score exhibited a significant negative correlation with no treatment（r=-0.199, P<0.001）, while it showed a positive association with the number of treatment modalities（r=0.245, P<0.001）. Conclusion:Mugwort and cypress are the predominant allergenic pollens responsible for seasonal AR in northern China. The majority of cases present with moderate to severe AR, often accompanied by various comorbidities, necessitating consideration of diverse treatment modalities. However, the current rate of adoption for AIT remains relatively insufficient.
Humans ; China/epidemiology* ; Cross-Sectional Studies ; Rhinitis, Allergic, Seasonal/therapy* ; Pollen/immunology* ; Adult ; Male ; Female ; Young Adult ; Adolescent ; Middle Aged ; Child ; Prevalence ; Allergens/immunology* ; Asthma/epidemiology* ; Conjunctivitis, Allergic

This study aims to investigate whether the dietary supplement coenzyme Q10(CoQ10)alleviates bisphenol A(BPA)-induced mouse Leydig cell line(TM3)damage through autophagy pathway.Cell activity was measured by CCK-8 assay when treated with different concentrations of BPA for 24 h.TM3 cells were then divided into 5 groups:CON group,BPA group,Torin2 group,CQ group and BPA+CoQ10 group,with three repeats in each group.The morphology of TM3 cells were observed under inverted light microscope.Western blot was used to determine the protein ex-pression of p62 and LC3-Ⅰ/Ⅱ.The autophagy level of TM3 cells was detected by MDC cell auto-phagy staining,the mRNA expression levels of Atg7,Beclin 1,p62 and Atg5 genes were deter-mined by RT-qPCR,and the apoptosis rate of TM3 cells was detected by flow cytometry.The results showed that compared with 0 μmol/L BPA treatment group,the viability of TM3 cells de-creased significantly after 24 h treatment with 60 μmol/L BPA(P＜0.01).Compared with CON group,the number of TM3 cells markedly reduced in the BPA-treated group,the expression of au-tophagy-related proteins(p62,LC3-Ⅱ)significantly increased(P＜0.01),comparable to the CQ group.The MDC fluorescence intensity dramatically enhanced(P＜0.01),the mRNA expression levels of autophagy-related genes(Atg7,Beclin1,p62,Atg5)significantly elevated(P＜0.01),and the apoptosis rate significantly increased(P＜0.01).Compared with BPA group,the expression levels of autophagy-related genes Atg7 and Beclin1 mRNA(P＜0.05),p 62 and Atg5 mRNA(P＜0.01)in TM3 cells treated with BPA+CoQ10 significantly decreased.Moreover,the expres-sion levels of autophagy-related protein p62(P＜0.01)and LC3-Ⅱ(P＜0.05),MDC fluorescence intensity(P＜0.05)and apoptosis rate(P＜0.01)also markedly reduced.In conclusion,CoQ10 could subsequently reduce the apoptosis of TM3 cells by improving the abnormal autophagy flux induced by BPA.

In October 2024, a 36-year-old female patient with botulinum toxin type A intoxication for 15d was admitted to the Department of Neurology of Northern Jiangsu People’s Hospital. Although type A botulinum antitoxin (BAT) therapy remained effective, the patient developed a serum sickness-like reaction (SSLR) on day 4 of treatment after receiving eight consecutive desensitizing intramuscular injections of BAT. After stopping the injection of the drug and giving intravenous dexamethasone, the patient’s symptoms improved. On the 6th day after stopping the injection of botulinum antitoxin type A, the patient was followed up in the outpatient clinic and the skin symptoms had almost disappeared. This article analyzed the patient’s medical records and explored the association between BAT and SSLR, suggesting that medical personnel should be alert to the risk of adverse reactions when applying antitoxin therapy, and that they should identify and intervene in a timely manner in order to ensure the safety of the medication and therapeutic efficacy of the patients.

Background Volatile organic compounds (VOCs) in exhaled breath are closely associated with respiratory diseases and are linked to various metabolic reactions in the human body. A quantitative analytical method can provide technical support for studying VOCs related to various diseases. Objective To establish a thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS) method for the determination of 27 VOCs in exhaled breath. Methods VOCs in exhaled breath were collected using a Bio-VOC sampler and enriched with Tenax TA thermal desorption tubes before TD-GC-MS analysis. Standards were collected using thermal desorption tubes and optimized for thermal desorption conditions as well as chromatographic and mass spectrometric conditions: The separation of the 27 VOCs was achieved by an optimized temperature program, the improvement of sensitivity by optimizing quantitative ions, and the increase of VOCs desorption efficiency by optimizing thermal desorption time and temperature. Limit of detection, limit of quantification, accuracy, precision, and stability of the proposed method were investigated by spiking with a blank gas bag, and exhaled breath samples from 20 healthy individuals were collected for an application study of the proposed method. Results The thermal desorption temperature was 280 ℃, and desorption time was 6 min. A VF-624ms chromatographic column was selected for the separation of target substances. The initial temperature of heating program was 35 ℃, maintained for 1 min, and then increased to 100 ℃ at a heating rate of 3 ℃·min⁻¹ for 1 min, followed by increasing to 210 ℃ at a heating rate of 28 ℃·min⁻¹ for 5 min. A quantitative analysis was conducted with a single ion monitoring (SIM) mode. Under these conditions, the 27 VOCs showed good linear relationships in their respective concentration ranges and the correlation coefficients were higher than 0.9990. The limits of detection of the method were in the range of 0.01-0.13 nmol·mol⁻¹, the limits of quantification were in the range of 0.02-0.44 nmol·mol⁻¹, and the spiked recoveries were in the range of 80.1%-120.5%, with intra-batch and inter-batch precision ≤ 18.8% and 17.9% respectively. All substances can be stored at room temperature (23-28 °C) for 7 d and at 4 °C for 14 d. The proposed method was applied to exhaled breath samples from 20 subjects with detection rates≥ 80% (except for trans-2-pentene and decane) and a concentration range of 0.00-465.50 nmol·mol⁻¹. Conclusion The established TD-GC-MS method for quantification of VOCs in exhaled breath is characterized by high sensitivity and good accuracy, and is suitable for quantitative determination of VOCs in exhaled breath, which can provide technical support for the study of exhaled breath VOCs.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.