Myasthenia gravis is an autoimmune disorder characterized by impaired neuromuscular transmission. Thymectomy is one of the therapeutic options for acetylcholine receptor antibody-positive myasthenia gravis patients. The quality of perioperative care is directly associated with surgical safety and patient outcomes. However, there is currently a lack of specialized nursing consensus or guidelines specifically addressing the care of these patients domestically or internationally. To promote the standardization and normalization of perioperative nursing care for myasthenia gravis patients undergoing thymectomy and to ensure treatment efficacy, a panel of 57 experts from relevant fields was convened. Based on evidence-based medicine and clinical practice experience, discussions were held on various aspects including condition assessment, nutritional support, medication management, and airway care, resulting in a consensus with 18 final recommendations by using the Delphi method through two rounds of expert consultation. This consensus aims to provide a scientific reference for the perioperative nursing care of myasthenia gravis patients undergoing thymectomy.

Objective:To establish a genomic nucleic acid mass spectrometry detection platform for allelic risk associated with Alzheimer's disease.Methods:Whole blood samples of 61 patients diagnosed as Alzheimer's disease in the Affiliated Brain Hospital of Guangzhou Medical University from December 28th, 2023 to 31st, March 2024 were collected and deoxynucleic acid (DNA) was extracted, including 22 males and 39 females, aged (67.36 ± 8.18) years old. After screening out 17 risk gene loci in Chinese population, multiplex polymerase chain reaction primers, single-base extension primers and Sanger sequencing primers were designed. Ten samples were used for primer optimization and debugging through Sanger sequencing and time-of-flight mass spectrometry to establish a detection system. The remaining samples were genotyped using a time-of-flight mass spectrometer and verified by Sanger sequencing for accuracy evaluation. Five samples were selected for gradient dilution and then subjected to time-of-flight mass spectrometry detection to evaluate the detection limit. Three clinical samples, one case of Escherichia coli and one case of Staphylococcus aureus genomic DNA samples were selected for cross-reaction research. The anti-interference ability of the detection system was evaluated against hemolysis, chylous substances and conventional anticoagulants in the samples. Two samples, one wild and one homozygous mutation sample with representative peak shapes, were selected to evaluate the anti-interference ability. Four samples containing the common genotypes of all gene loci in the system were selected and repeated 10 times to evaluate the precision.Results:The minimum intensity of single-base extension primers on mass spectrometry is greater than half of the maximum intensity. All 17 risk gene loci screened were successfully typed. The time-of-flight mass spectrometry detection results of 1,037 loci from 61 samples showed that the genotyping detection rate was 100%. The genotypes of the 20 DNA samples were completely consistent with the results of Sanger sequencing, with an accuracy rate of 100%. The mass spectrometry detection results of five samples after gradient dilution indicated that the low detection limit was 5 ng of DNA. The reaction system has a strong anti-interference ability against hemolysis of samples, chylous substances, conventional anticoagulants and DNA cross-contamination. Homologous allele interference and no cross-reaction between the bacterial genome and 17 gene loci do not affect the risk genome detection results. The results of 10 repeated mass spectrometry tests on 4 samples showed that the precision was 100%.Conclusion:The genomic detection system of Alzheimer's disease risk has been successfully established to provide an auxiliary mean for disease diagnosis and risk assessment.

Objective:To investigate whether there is an association between the total dose of breast cancer radiotherapy, the mean dose of radiation field involving the heart and its substructures, and the long-term incidence of coronary heart disease (CHD) in patients.Methods:A retrospective analysis was conducted on 1125 patients with breast cancer who received radiotherapy with radiation fields involving the hear at Beijing Hospital from January 2009 to June 2022. The heart and its substructures of 54 patients were manually delineated, trained an automatic delineation model, and applied this model to the original radiotherapy planning images to automatically extract dosimetric parameters for the heart and substructures in the original plan. Based on the follow-up results, 1125 breast cancer patients were categorized into the CHD event group ( n=19) and non-event group ( n=1106). Wilcoxon rank-sum test, Chi-square test and adjustment for confounding factors using inverse probability weighting were used to compare the mean radiation dose received by the heart and its substructures, age at presentation, history of smoking, history of alcohol consumption, history of hypertension, and history of diabetes between two groups. The influencing factors of CHD were analyzed by univariate and multivariate logistic regression models. Results:The mean heart dose ( P=0.035), mean dose of right atrium ( P=0.049), right coronary artery ( P=0.013), septum ( P=0.045), and right ventricle ( P=0.039) of the event group were higher than that of the non-event group, and the differences were statistically significant. History of alcohol consumption was an independent risk factor for long-term CHD events in the breast cancer patients ( OR=7.35,95% CI: 1.56-25.58, P=0.004). After adjusting for confounding factors using inverse probability weighting, age at presentation was an independent risk factor for long-term CHD events ( OR=1.03, 95% CI: 1.01-1.05, P=0.004). Conclusions:In the breast cancer population with traditional high-risk factors of CHD receiving radiotherapy, the possibility of CHD probably remains high even if the dose of radiation field involving the heart and its substructures is low. Compared to traditional risk factors of CHD, the mean dose to the heart and its substructures in the radiation field of breast cancer patients exerts less impact on the occurrence of CHD after radiotherapy.

Objective:To establish a genomic nucleic acid mass spectrometry detection platform for allelic risk associated with Alzheimer's disease.Methods:Whole blood samples of 61 patients diagnosed as Alzheimer's disease in the Affiliated Brain Hospital of Guangzhou Medical University from December 28th, 2023 to 31st, March 2024 were collected and deoxynucleic acid (DNA) was extracted, including 22 males and 39 females, aged (67.36 ± 8.18) years old. After screening out 17 risk gene loci in Chinese population, multiplex polymerase chain reaction primers, single-base extension primers and Sanger sequencing primers were designed. Ten samples were used for primer optimization and debugging through Sanger sequencing and time-of-flight mass spectrometry to establish a detection system. The remaining samples were genotyped using a time-of-flight mass spectrometer and verified by Sanger sequencing for accuracy evaluation. Five samples were selected for gradient dilution and then subjected to time-of-flight mass spectrometry detection to evaluate the detection limit. Three clinical samples, one case of Escherichia coli and one case of Staphylococcus aureus genomic DNA samples were selected for cross-reaction research. The anti-interference ability of the detection system was evaluated against hemolysis, chylous substances and conventional anticoagulants in the samples. Two samples, one wild and one homozygous mutation sample with representative peak shapes, were selected to evaluate the anti-interference ability. Four samples containing the common genotypes of all gene loci in the system were selected and repeated 10 times to evaluate the precision.Results:The minimum intensity of single-base extension primers on mass spectrometry is greater than half of the maximum intensity. All 17 risk gene loci screened were successfully typed. The time-of-flight mass spectrometry detection results of 1,037 loci from 61 samples showed that the genotyping detection rate was 100%. The genotypes of the 20 DNA samples were completely consistent with the results of Sanger sequencing, with an accuracy rate of 100%. The mass spectrometry detection results of five samples after gradient dilution indicated that the low detection limit was 5 ng of DNA. The reaction system has a strong anti-interference ability against hemolysis of samples, chylous substances, conventional anticoagulants and DNA cross-contamination. Homologous allele interference and no cross-reaction between the bacterial genome and 17 gene loci do not affect the risk genome detection results. The results of 10 repeated mass spectrometry tests on 4 samples showed that the precision was 100%.Conclusion:The genomic detection system of Alzheimer's disease risk has been successfully established to provide an auxiliary mean for disease diagnosis and risk assessment.

Objective:To investigate whether there is an association between the total dose of breast cancer radiotherapy, the mean dose of radiation field involving the heart and its substructures, and the long-term incidence of coronary heart disease (CHD) in patients.Methods:A retrospective analysis was conducted on 1125 patients with breast cancer who received radiotherapy with radiation fields involving the hear at Beijing Hospital from January 2009 to June 2022. The heart and its substructures of 54 patients were manually delineated, trained an automatic delineation model, and applied this model to the original radiotherapy planning images to automatically extract dosimetric parameters for the heart and substructures in the original plan. Based on the follow-up results, 1125 breast cancer patients were categorized into the CHD event group ( n=19) and non-event group ( n=1106). Wilcoxon rank-sum test, Chi-square test and adjustment for confounding factors using inverse probability weighting were used to compare the mean radiation dose received by the heart and its substructures, age at presentation, history of smoking, history of alcohol consumption, history of hypertension, and history of diabetes between two groups. The influencing factors of CHD were analyzed by univariate and multivariate logistic regression models. Results:The mean heart dose ( P=0.035), mean dose of right atrium ( P=0.049), right coronary artery ( P=0.013), septum ( P=0.045), and right ventricle ( P=0.039) of the event group were higher than that of the non-event group, and the differences were statistically significant. History of alcohol consumption was an independent risk factor for long-term CHD events in the breast cancer patients ( OR=7.35,95% CI: 1.56-25.58, P=0.004). After adjusting for confounding factors using inverse probability weighting, age at presentation was an independent risk factor for long-term CHD events ( OR=1.03, 95% CI: 1.01-1.05, P=0.004). Conclusions:In the breast cancer population with traditional high-risk factors of CHD receiving radiotherapy, the possibility of CHD probably remains high even if the dose of radiation field involving the heart and its substructures is low. Compared to traditional risk factors of CHD, the mean dose to the heart and its substructures in the radiation field of breast cancer patients exerts less impact on the occurrence of CHD after radiotherapy.

Objective To explore the machine learning model and risk factor analysis for hospital infection caused by carbapenem-resistant enterobacteriaceae(CRE).Methods The clinical data of totally 451 patients infected with extended-spectrum β-lactamases(ESBL)producing Enterobacteriaceae treated in the hospital from 2018 to 2022 were retrospectively collected.The patients were divided into CRE group(115 cases)and sensitive group(336 cases)according to the susceptibility of carbapenem.Four machine learning methods in-cluding Logistic regression analysis,random forest,support vector machine,and neural network were used to build prediction models and receiver operating characteristic curve was used to evaluate.Based on the predic-tion model with the best performance,risk factors for CRE infection were analyzed.Results Random forest model had the best performance,with the area under the curve of 0.952 3.The risk factors for predicting CRE infection by the random forest model included 15 clinical data items,namely fever for more than 3 days,cere-bral injury,drainage fluid sample,trunk surgery,first-level or special-level nursing,ICU treatment,procalcito-nin,anti-anaerobic bacteria,the use of third-generation cephalosporins,age,pre-albumin,creatinine,white blood cell count,and albumin.Conclusion The CRE prediction model developed in this study has good predic-tive value and the risk factors have guiding significance for the early prevention and treatment of CRE infec-tion in clinical practice.

OBJECTIVE To explore the neuroprotective effect of sodium aescinate on rats with Parkinson’s disease by regulating the silent information regulator 1 （SIRT1）/nuclear factor-κB （NF-κB） signaling pathway. METHODS The Parkinson’s disease rat model was constructed by using 6-hydroxydopamine injection method. Forty-eight rats successfully modeled were randomly divided into model group， sodium aescinate low-dose group （1.8 mg/kg）， sodium aescinate high-dose group （3.6 mg/kg）， sodium aescinate+EX527 （sodium aescinate 3.6 mg/kg+SIRT1 inhibitor EX527 5 mg/kg） group， with 12 rats in each group. Another 12 healthy rats were selected as the sham operation group. Each group was injected with the corresponding drug solution intraperitoneally， once a day， for 21 consecutive days. Twenty-four hours after the end of the last administration， the motor and cognitive functions of rats were detected， and the morphology of neurons in the substantia nigra and CA1 region of hippocampal tissue were observed. The content of dopamine （DA） in the nigrostriatal and the expression levels of tyrosine hydroxylase （TH） and α-synuclein （α-Syn） in the substantia nigra were detected. The serum levels of pro-inflammatory factor [interleukin-6 （IL-6）， IL-18]， anti-inflammatory factor （IL-10）， and the expression levels of SIRT1， phosphorylated NF-κB p65 （p-NF-κB p65） and NF- κB p65 protein in nigrostriatal were detected. RESULTS Compared with sham operation group， the neurons in the substantia nigra and CA1 region of hippocampal tissue were seriously damaged in model group； the number of rotations， escape latency， the expression levels of α-Syn in substantia nigra， the levels of serum pro-inflammatory factors， the relative expression ratio of p-NF- κB p65 and NF-κB p65 protein in nigrostriatal were increased or prolonged significantly （P＜0.05）； the target quadrant residence time， the content of DA in nigrostriatal， the expression level of TH in substantia nigra， the serum level of anti-inflammatory factor， and the expression level of SIRT1 protein in substantia nigra striatum were significantly decreased or shortened （P＜0.05）. Compared with model group， the damage degrees of neuron in sodium aescinate groups were alleviated， and the quantitative indicators were significantly improved， which were more significant in the high-dose group （P＜0.05）； EX527 could reverse the improvement effect of high-dose sodium aescinate （P＜0.05）. CONCLUSIONS Sodium aescinate can inhibit the activation of NF-κB signal by up-regulating the protein expression of SIRT1， thereby reducing the neuroinflammation of rats with Parkinson’s disease， improving the motor and cognitive dysfunctions， and finally playing a neuroprotective role.

Objective:To investigate the effects of subcutaneous immunotherapy (SCIT) on patients′ immune markers and metabolic levels in the early stage of allergen treatment, and to gain insight into the role of SCIT in regulating immune responses and metabolic levels, so as to provide reference data for the further discovery of potential biomarkers.Methods:A longitudinal study was used to include 40 subjects who underwent SCIT with dust mite allergens in the Department of Pediatrics of the First Affiliated Hospital of Guangzhou Medical University between November 2017 and February 2022, including 20 subjects each of single mite subcutaneous immunotherapy (SM-SCIT) and double mite subcutaneous immunotherapy (DM-SCIT). In this study, levels of dust mite allergen-specific antibodies and polyunsaturated fatty acid metabolism were measured before and 12 months after treatment, while pulmonary function tests were performed. The therapeutic effects of the patients were followed up by visual analogue scale (VAS), asthma control test (ACT) and total medication scores (TMS). The results were statistically analyzed using t-test and Mann-Whitney U-test. Results:After 12 months of treatment with SCIT, both groups showed a significant decrease in total VAS score (SM-SCIT: Z=-2.298, P<0.05; DM-SCIT: Z=-3.411, P<0.001); total ACT score (SM-SCIT: Z=-2.054, P<0.05; DM-SCIT: Z=-2.014, P<0.05) and total medication scores (SM-SCIT: Z=-3.799, P<0.000 1; DM-SCIT: Z=-3.474, P<0.001) were significantly higher, in addition to significantly higher MMEF75/25 values in the DM-SCIT group ( t=-2.253, P<0.05). There was no significant change in sIgE in the SM-SCIT group ( P>0.05), and the sIgG4 levels of the Der p, Der f, p 1, p 2, f 2, and p 21 fractions were significantly elevated ( Z=-2.651, -3.771, -2.949, -2.912, -2.725, -2.128, and -3.285, respectively, all P<0.05); The sIgE of Der p 2, f 2, p 7 and p 23 fractions( Z=-2.651, -3.771, -2.949, -2.912, -2.725, -2.128, -3.285, all P<0.05) and the sIgG4 levels of the Der p, Der f, p 1, p 2, f 1, f 2, p 10, p 21 and p 23 fractions ( Z=-3.808, -3.845, -3.061, -2.688, -2.464, -3.211, -2.371, -2.091, -2.427, all P<0.05) of the DM-SCIT group were significantly elevated. Metabolomics analysis showed that arachidonic acid, docosahexaenoic acid, docosapentaenoic acid, eicosapentaenoic acid, 5, 9, 12-octadecatrienoic acid, 5(S)-hydroxylated eicosatetraenoic acid, and dihomo-gamma-linolenic acid were significantly elevated at the beginning of the treatment period after SM-SCIT treatment ( Z of -2.191, -2.497, -1.988, -2.090, -2.19, -2.803, -2.073, all P<0.05); 5(S)-hydroxylated eicosatetraenoic acid showed elevated and alpha-linolenic acid, eicosadienoic acid, and eicosapentaenoic acid were significantly decreased in the DM-SCIT group after treatment ( Z=-1.988, -2.090, -2.497, -1.988, respectively, all P<0.05). Correlation analysis showed that arachidonic acid was significantly negatively correlated with changes in dust mite-specific IgG4 ( r=-0.499, P<0.05), and that alpha-linolenic acid, 5, 9, 12-octadecatrienoic acid, and eicosapentaenoic acid were positively correlated with the ΔsIgG4 of the dust mite der p 2 ( r=0.451, 0.420, 0.474, respectively; all P<0.05). Conclusion:Significant changes in allergen-specific antibody levels and polyunsaturated fatty acid metabolism levels occur during SCIT, and the two may interact and influence each other.

Objective:To investigate the effects of subcutaneous immunotherapy (SCIT) on patients′ immune markers and metabolic levels in the early stage of allergen treatment, and to gain insight into the role of SCIT in regulating immune responses and metabolic levels, so as to provide reference data for the further discovery of potential biomarkers.Methods:A longitudinal study was used to include 40 subjects who underwent SCIT with dust mite allergens in the Department of Pediatrics of the First Affiliated Hospital of Guangzhou Medical University between November 2017 and February 2022, including 20 subjects each of single mite subcutaneous immunotherapy (SM-SCIT) and double mite subcutaneous immunotherapy (DM-SCIT). In this study, levels of dust mite allergen-specific antibodies and polyunsaturated fatty acid metabolism were measured before and 12 months after treatment, while pulmonary function tests were performed. The therapeutic effects of the patients were followed up by visual analogue scale (VAS), asthma control test (ACT) and total medication scores (TMS). The results were statistically analyzed using t-test and Mann-Whitney U-test. Results:After 12 months of treatment with SCIT, both groups showed a significant decrease in total VAS score (SM-SCIT: Z=-2.298, P<0.05; DM-SCIT: Z=-3.411, P<0.001); total ACT score (SM-SCIT: Z=-2.054, P<0.05; DM-SCIT: Z=-2.014, P<0.05) and total medication scores (SM-SCIT: Z=-3.799, P<0.000 1; DM-SCIT: Z=-3.474, P<0.001) were significantly higher, in addition to significantly higher MMEF75/25 values in the DM-SCIT group ( t=-2.253, P<0.05). There was no significant change in sIgE in the SM-SCIT group ( P>0.05), and the sIgG4 levels of the Der p, Der f, p 1, p 2, f 2, and p 21 fractions were significantly elevated ( Z=-2.651, -3.771, -2.949, -2.912, -2.725, -2.128, and -3.285, respectively, all P<0.05); The sIgE of Der p 2, f 2, p 7 and p 23 fractions( Z=-2.651, -3.771, -2.949, -2.912, -2.725, -2.128, -3.285, all P<0.05) and the sIgG4 levels of the Der p, Der f, p 1, p 2, f 1, f 2, p 10, p 21 and p 23 fractions ( Z=-3.808, -3.845, -3.061, -2.688, -2.464, -3.211, -2.371, -2.091, -2.427, all P<0.05) of the DM-SCIT group were significantly elevated. Metabolomics analysis showed that arachidonic acid, docosahexaenoic acid, docosapentaenoic acid, eicosapentaenoic acid, 5, 9, 12-octadecatrienoic acid, 5(S)-hydroxylated eicosatetraenoic acid, and dihomo-gamma-linolenic acid were significantly elevated at the beginning of the treatment period after SM-SCIT treatment ( Z of -2.191, -2.497, -1.988, -2.090, -2.19, -2.803, -2.073, all P<0.05); 5(S)-hydroxylated eicosatetraenoic acid showed elevated and alpha-linolenic acid, eicosadienoic acid, and eicosapentaenoic acid were significantly decreased in the DM-SCIT group after treatment ( Z=-1.988, -2.090, -2.497, -1.988, respectively, all P<0.05). Correlation analysis showed that arachidonic acid was significantly negatively correlated with changes in dust mite-specific IgG4 ( r=-0.499, P<0.05), and that alpha-linolenic acid, 5, 9, 12-octadecatrienoic acid, and eicosapentaenoic acid were positively correlated with the ΔsIgG4 of the dust mite der p 2 ( r=0.451, 0.420, 0.474, respectively; all P<0.05). Conclusion:Significant changes in allergen-specific antibody levels and polyunsaturated fatty acid metabolism levels occur during SCIT, and the two may interact and influence each other.

Objective To discuss how to plot a power function graph and draw power function graphs corresponding to common quality control rules to assist medical laboratories in selecting quality control rules.Methods Commonly used quality control rules in clinical laboratory testing in China were collected,power function graphs based on the Monte Carlo method were plotted,and the simulation results with existing results were compared and tested the reliability of the method.Results The Monte Carlo method could be used to easily plot power function graphs for the most complex quality control rules such as 13s/22s/R4s/41s/8(x-).This method had a high level of accuracy,but the accuracy and precision were positively correlated with the number of simulations.In terms of statistical proportions of seven commonly used quality control rules,the 13s/22srule had the highest usage proportion,followed by the 13s/22s/R4s.The power function graph corresponding to the 13s/22s/R4s/41s/10(x-) rule was plotted,and the sigma level lines were marked to assist the laboratory in selecting quality control rules.Conclusion The Monte Carlo method accurately plotted power function graphs,and medical laboratories could use this method to independently plot efficiency function graphs to meet quality control requirements.