Objective:To construct and validate a clinical model combining CYP11B2 gene polymorphisms with clinical parameters to predict complete postoperative hypertension remission in primary aldosteronism patients.Methods:The clinical data of a total of 116 patients with primary aldosteronism who underwent unilateral adrenalectomy from April 2018 to August 2024 were retrospectively included. There were 63 males and 53 females，with a body mass index（BMI）of（25.50 ± 2.03）kg/m 2. Genomic DNA was extracted from venous blood leukocytes before surgery，and polymerase chain reaction-restriction fragment length polymorphisms（PCR-RFLP）were used to detect CYP11B2（rs1799998）promoter region 344（C > T）base substitution. The follow-up duration was more than 6 months，with the following parameters recorded at the last follow-up：plasma aldosterone，renin，serum potassium，and sodium levels. Blood pressure progression and antihypertensive medication usage were also assessed. The postoperative outcome was determined according to the Primary Aldosteronism Surgical Outcome score（PASO）for primary aldosteronism，and the specific criteria were as follows. ① Clinical complete remission：the patient's blood pressure returned to normal（< 140/90 mmHg，1 mmHg = 0.133 kPa）and all antihypertensive drugs were discontinued；②Partial clinical remission：blood pressure returns to normal，and the number or dose of antihypertensive drugs is reduced compared with before；③Clinical non-remission：blood pressure does not drop and antihypertensive drugs do not change or increase compared with before surgery. Patients were divided into complete and incomplete remission groups. The chi-square test was used for univariate analysis，followed by binary logistic forward conditional regression for multivariate analysis，and a variety of machine learning algorithms such as random forest，logistic regression，support vector machine and gradient lifter were integrated，and the results of multivariate analysis were included to construct a postoperative blood pressure outcome model，and the predictive performance of the model was evaluated by using receiver operating characteristic（ROC）curve，calibration curve and clinical decision curve. Results:The PCR-RFLP detection results of 116 cases showed the genotype distribution of CYP11B2（344C > T）（rs1799998）as follows：CC type in 50 cases（43.1%），CT type in 46 cases（39.7%），and TT type in 20 cases（17.3%）. There were 74 cases in the complete remission group and 42 cases in the incomplete remission group，and the rate of complete remission with hypertension at the end of the operation was 63.8%. Univariate analysis showed that the the differences between complete remission group and incomplete remission group in body mass index［（24.27 ± 2.90）kg/m 2 vs.（26.98 ± 3.17）kg/m 2， P<0.001］，preoperative hypertension grade（grade 1/2/3：29/29/16 cases vs. 9/13/20 cases， P = 0.012），preoperative antihypertensive drugs（0/1/≥ 2：25/32/17 cases vs. 7/15/20 cases， P = 0.016），and CYP11B2（344C > T）（CC/TT + CT：39/35 cases vs. 11/31 cases， P = 0.006）were statistically significant. Multivariate analysis showed that the type of preoperative antihypertensive drugs［≥ 2： OR = 5.26（95% CI 1.12?24.61， P = 0.016；1： OR = 4.55（95% CI 1.23?22.47）， P = 0.025］was the strongest independent predictor，followed by CYP11B2（344C > T）［ OR = 4.02（95% CI 1.16?13.82）， P = 0.028］and BMI［ OR = 3.96（95% CI 2.26?6.92）， P < 0.001］. Comparing the receiver operating feature（ROC）curves of the four types of machine learning models，the best model was the support vector machine model with an area under the curve（AUC）of 0.88（95% CI 0.82?0.95），followed by the gradient elevator model of 0.83（95% CI 0.76?0.91），the logistic regression model of 0.78（95% CI 0.68?0.88），and the random forest model of 0.77（95% CI 0.68?0.86）. The optimal threshold of the Yoden index of the support vector machine model was 0.588，with a sensitivity of 78.5% and a specificity of 86.5%. The clinical decision curve and calibration curve show that the support vector machine model has a higher net benefit and acceptable stability and reliability. Conclusions:The support vector machine model incorporating CYP11B2 gene polymorphisms，BMI，and types of preoperative antihypertensive medications could effectively predict postoperative hypertension remission in primary aldosteronism patients，providing new evidence for personalized treatment strategies

Objective To construct a risk prediction model for delayed medical treatment in patients with acute myocardial infarction(AMI),and to evaluate the predictive performance of the model.Methods Convenience sampling method was used to select 219 patients with AMI who were hospitalized in Yancheng Third People's Hospital from March 2023 to May 2024 as investigation objects.The patients with AMI were divided into delayed group(n=106)and undelayed group(n=1 13)with the 6-hour interval.Logistic regression analysis was used to establish a risk prediction model for AMI patients with delayed medical treatment.Hosmer-Lemeshow test and receiver operating characteristic curve were used to evaluate the goodness of fit and prediction ability of the model.Results Binary Logistic regression analysis showed that age,unknown heart disease at the time of onset,first chest pain and low score of brief health literacy screen were all risk factors for delayed medical treatment in AMI patients(P＜0.05).The model predicted that the area under the curve of AMI patients with delayed hospitalization was 0.771,the Youden index was 0.562,the optimal cutoff value was 0.514,and the sensitivity and specificity were 77.3％and 86.5％,respectively.Conclusion The constructed risk prediction model can effectively predict and screen the high-risk groups of AMI patients with delayed medical treatment,reduce the risk of AMI patients with delayed medical treatment,and provide a scientific basis for taking reasonable intervention measures to shorten the time of medical treatment for AMI patients.

Objective To analyze the epidemiological characteristics of acute respiratory infections(ARIs)during the autumn-winter season in Beijing,providing evidence for the prevention,control,diagnosis,and treatment of ARIs.Methods A convenience sampling method was employed,enrolling patients who visited Peking Union Medical College Hospital(PUMCH)between September 2023 and February 2024 due to ARIs.Na-sopharyngeal swabs were collected,and real-time fluorescence quantitative PCR was used to detect six common respiratory pathogens[influenza A virus(FluA),influenza B virus(FluB),human rhinovirus(HRV),Myco-plasma pneumoniae(MP),respiratory syncytial virus(RSV),and adenovirus(ADV)],as well as SARS-CoV-2 infection.The distribution patterns of pathogen infections were analyzed.Results A total of 5556 eligible patients were included.The overall positivity rate for the six common respiratory pathogens was 63.7％,with sin-gle-pathogen positivity at 54.0％,dual-pathogen positivity at 8.9％,and triple or more pathogen positivity at 0.7％.The predominant pathogens detected were FluA(16.1％)and RSV(15.7％),followed by ADV(11.1％),MP(11.1％),HRV(10.0％),and FluB(10.0％).No significant difference in overall pathogen positivity was observed between genders.However,significant differences were found between autumn and winter(x2=34.617,P＜0.001)and among pediatric,young/middle-aged,and elderly patients(x2=422.38,P＜0.001).Specifically,MP(x2=8.647,P=0.003),FluA(x2=131.932,P＜0.001),and HRV(x2=174.199,P＜0.001)exhibited significantly higher positivity rates in autumn than in winter,whereas FluB was more prevalent in winter(x2=287.894,P＜0.001).In pediatric patients,MP,RSV,HRV,and ADV positivity rates were significantly higher than in young/middle-aged and elderly patients(all P＜0.001),whereas FluB was more common in young/middle-aged patients(both P＜0.001).The positivity rates of the six common respiratory pathogens significantly declined during the SARS-CoV-2 epidemic period,exhibiting an asynchronous seasonal pattern.Conclusions The prevalence of respiratory pathogens in Beijing is associated with age and season.Tar-geted preventive measures should be implemented in different seasons and for key populations.

Objective To construct a risk prediction model for delayed medical treatment in patients with acute myocardial infarction(AMI),and to evaluate the predictive performance of the model.Methods Convenience sampling method was used to select 219 patients with AMI who were hospitalized in Yancheng Third People's Hospital from March 2023 to May 2024 as investigation objects.The patients with AMI were divided into delayed group(n=106)and undelayed group(n=1 13)with the 6-hour interval.Logistic regression analysis was used to establish a risk prediction model for AMI patients with delayed medical treatment.Hosmer-Lemeshow test and receiver operating characteristic curve were used to evaluate the goodness of fit and prediction ability of the model.Results Binary Logistic regression analysis showed that age,unknown heart disease at the time of onset,first chest pain and low score of brief health literacy screen were all risk factors for delayed medical treatment in AMI patients(P＜0.05).The model predicted that the area under the curve of AMI patients with delayed hospitalization was 0.771,the Youden index was 0.562,the optimal cutoff value was 0.514,and the sensitivity and specificity were 77.3％and 86.5％,respectively.Conclusion The constructed risk prediction model can effectively predict and screen the high-risk groups of AMI patients with delayed medical treatment,reduce the risk of AMI patients with delayed medical treatment,and provide a scientific basis for taking reasonable intervention measures to shorten the time of medical treatment for AMI patients.

Objective:To construct and validate a clinical model combining CYP11B2 gene polymorphisms with clinical parameters to predict complete postoperative hypertension remission in primary aldosteronism patients.Methods:The clinical data of a total of 116 patients with primary aldosteronism who underwent unilateral adrenalectomy from April 2018 to August 2024 were retrospectively included. There were 63 males and 53 females，with a body mass index（BMI）of（25.50 ± 2.03）kg/m 2. Genomic DNA was extracted from venous blood leukocytes before surgery，and polymerase chain reaction-restriction fragment length polymorphisms（PCR-RFLP）were used to detect CYP11B2（rs1799998）promoter region 344（C > T）base substitution. The follow-up duration was more than 6 months，with the following parameters recorded at the last follow-up：plasma aldosterone，renin，serum potassium，and sodium levels. Blood pressure progression and antihypertensive medication usage were also assessed. The postoperative outcome was determined according to the Primary Aldosteronism Surgical Outcome score（PASO）for primary aldosteronism，and the specific criteria were as follows. ① Clinical complete remission：the patient's blood pressure returned to normal（< 140/90 mmHg，1 mmHg = 0.133 kPa）and all antihypertensive drugs were discontinued；②Partial clinical remission：blood pressure returns to normal，and the number or dose of antihypertensive drugs is reduced compared with before；③Clinical non-remission：blood pressure does not drop and antihypertensive drugs do not change or increase compared with before surgery. Patients were divided into complete and incomplete remission groups. The chi-square test was used for univariate analysis，followed by binary logistic forward conditional regression for multivariate analysis，and a variety of machine learning algorithms such as random forest，logistic regression，support vector machine and gradient lifter were integrated，and the results of multivariate analysis were included to construct a postoperative blood pressure outcome model，and the predictive performance of the model was evaluated by using receiver operating characteristic（ROC）curve，calibration curve and clinical decision curve. Results:The PCR-RFLP detection results of 116 cases showed the genotype distribution of CYP11B2（344C > T）（rs1799998）as follows：CC type in 50 cases（43.1%），CT type in 46 cases（39.7%），and TT type in 20 cases（17.3%）. There were 74 cases in the complete remission group and 42 cases in the incomplete remission group，and the rate of complete remission with hypertension at the end of the operation was 63.8%. Univariate analysis showed that the the differences between complete remission group and incomplete remission group in body mass index［（24.27 ± 2.90）kg/m 2 vs.（26.98 ± 3.17）kg/m 2， P<0.001］，preoperative hypertension grade（grade 1/2/3：29/29/16 cases vs. 9/13/20 cases， P = 0.012），preoperative antihypertensive drugs（0/1/≥ 2：25/32/17 cases vs. 7/15/20 cases， P = 0.016），and CYP11B2（344C > T）（CC/TT + CT：39/35 cases vs. 11/31 cases， P = 0.006）were statistically significant. Multivariate analysis showed that the type of preoperative antihypertensive drugs［≥ 2： OR = 5.26（95% CI 1.12?24.61， P = 0.016；1： OR = 4.55（95% CI 1.23?22.47）， P = 0.025］was the strongest independent predictor，followed by CYP11B2（344C > T）［ OR = 4.02（95% CI 1.16?13.82）， P = 0.028］and BMI［ OR = 3.96（95% CI 2.26?6.92）， P < 0.001］. Comparing the receiver operating feature（ROC）curves of the four types of machine learning models，the best model was the support vector machine model with an area under the curve（AUC）of 0.88（95% CI 0.82?0.95），followed by the gradient elevator model of 0.83（95% CI 0.76?0.91），the logistic regression model of 0.78（95% CI 0.68?0.88），and the random forest model of 0.77（95% CI 0.68?0.86）. The optimal threshold of the Yoden index of the support vector machine model was 0.588，with a sensitivity of 78.5% and a specificity of 86.5%. The clinical decision curve and calibration curve show that the support vector machine model has a higher net benefit and acceptable stability and reliability. Conclusions:The support vector machine model incorporating CYP11B2 gene polymorphisms，BMI，and types of preoperative antihypertensive medications could effectively predict postoperative hypertension remission in primary aldosteronism patients，providing new evidence for personalized treatment strategies

Gastric cancer is one of the most common malignant tumors worldwide,with its incidence and mortality rates ranking third among malignant tumors in China.Regulated cell death(RCD)is a type of cell death activated by signal transduction modules and closely connected to the progression and treatment of gastric cancer.Different types of RCD,comprising apoptosis,pyroptosis,ferroptosis,cuproptosis,and autophagy,not only aid in eliminating damaged cells,but also serve a crucial role in suppressing gastric cancer spread.This paper reviews different forms of RCD and their roles in the progression of gastric cancer,so as to provide reference for new diagnosis and treatment strategies of gastric cancer.

Objective To establish an ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)method for the detection of 34 prohibited and restricted pesticide residues in Atractylodes,and 21 batches of commercially available Atractylodes were detected to preliminarily investigate the pesticide residues in commercial Atractylodes.Methods The samples were extracted with pure acetonitrile,the extracts were purified by Waters-HLB 3cc(60 mg)solid phase extraction column,separated by Waters-C18 column,0.1%formic acid water(containing 10 mmol/L ammonium formate)and acetonitrile were used as mobile phases(gradient elution),and quantitatively analyzed by external standard method in multi-reaction monitoring positive ion mode according to the retention time.Results The linear relationship of each component was good in their respective concentration ranges,the correlation coefficients were all greater than 0.998 0.The limits of detection were within 0.8-4.0 μg/kg,and the limits of quantification were within 2.0-10.0 μg/kg.The average recovery rate was 74.1%-97.4%,and RSD was 0.6%-6.4%(n=9).Seven pesticide residues were found in 13 batches of 21 Atractylodes macrocephalus samples.Conclusion This method is simple to operate,accurate in quantification,has high recovery rate and good repeatability,and is suitable for the detection of multiple residues of prohibited and restricted pesticides in Atractylodes.

To analyze the epidemiological characteristics of acute respiratory infections (ARIs) during the autumn-winter season in Beijing, providing evidence for the prevention, control, diagnosis, and treatment of ARIs.

Objective To evaluate the accuracy and clinical application value of the fluorescence quantitative PCR melting curve meth-od for detecting fungal nucleic acid.Methods 460 suspected or confirmed patients with respiratory fungal infections were enrolled in the study.The fluorescence quantitative PCR melting curve method was used as the test method,and the fungal 26S rRNA gene nucleic acid detection kit combined with Sanger sequencing was used as the reference method.Sputum samples from each study subject were collected and detected by the test method and reference method,respectively.The Kappa value of the two methods was calculated to evaluate the consistency of the results.Results Compared with the reference method,the overall conformity rate of the test method was 92.83%(427/460).Compared with the reference method,the positive conformity rates,negative conformity rates,and overall conformity rates of the test method for detecting 8 fungi,including Candida albicans,Candida glabrata,Candida krusei,Candida trop-icalis,Candida parapsilosis,Cryptococcus neoformans,Candida guilliermondii,and Aspergillus,were 97.34%(183/188),97.06%(264/272),and 97.17%(447/460),100.00%(33/33),99.77%(426/427),and 99.78%(459/460),100.00%(16/16),99.55%(442/444),and 99.57%(458/460),98.11%(52/53),99.75%(442/444),and 99.57%(458/460),95.08%(58/61),99.50%(397/399),and 98.91%(455/460),100.00%(9/9),99.56%(449/451),and 99.57%(458/460),85.00%(17/20),99.32%(437/440),and 98.70%(454/460),and 97.59%(81/83),97.88%(369/377),and 97.83%(450/460),respectively.The Kappa values for the consistency evaluation of the two methods'detection results were both greater than 0.8.Upon retesting the inconsistent re-sults of the two methods,it was found that 53.7%(22/41)of the detection results were consistent with the test method,and the others were consistent with the reference method.Conclusion The fluorescence quantitative PCR melting curve method can simultaneously detect 8 kinds of fungi,and the detection results are highly consistent with the reference method.It has unique advantages in fungal de-tection and important clinical application value.

This report describs 2 domestic cases of tacrolimus poisoning in kidney transplant recipients due to overexposure of tacrolimus caused by nirmatrelvir/ritonavir for SARS-CoV-2 infection.Phenytoin sodium is prescribed for inducing CYP3A enzyme.It is intended for providing references for formulating and adjusting treatment protocols for tacrolimus overexposure and related toxicity in kidney transplant recipients caused by nirmatrelvir/ritonavir.