ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

Aldehyde oxidase (AOX) is a molybdoenzyme that is primarily expressed in the liver and is involved in the metabolism of drugs and other xenobiotics. AOX-mediated metabolism can result in unexpected outcomes, such as the production of toxic metabolites and high metabolic clearance, which can lead to the clinical failure of novel therapeutic agents. Computational models can assist medicinal chemists in rapidly evaluating the AOX metabolic risk of compounds during the early phases of drug discovery and provide valuable clues for manipulating AOX-mediated metabolism liability. In this study, we developed a novel graph neural network called AOMP for predicting AOX-mediated metabolism. AOMP integrated the tasks of metabolic substrate/non-substrate classification and metabolic site prediction, while utilizing transfer learning from ¹³C nuclear magnetic resonance data to enhance its performance on both tasks. AOMP significantly outperformed the benchmark methods in both cross-validation and external testing. Using AOMP, we systematically assessed the AOX-mediated metabolism of common fragments in kinase inhibitors and successfully identified four new scaffolds with AOX metabolism liability, which were validated through in vitro experiments. Furthermore, for the convenience of the community, we established the first online service for AOX metabolism prediction based on AOMP, which is freely available at https://aomp.alphama.com.cn.

BackgroundThere exist differences in the subjective and objective cognitive functions of patients with depressive disorder， ane there are limited research on influencing factors of such phenomenon currently. ObjectiveTo explore the differences in subjective and objective cognitive function in patients with depressive disorder as well as influencing factors， and to provide references for further understanding of cognitive impairment in patients with depressive disorder. MethodsA total of 77 patients with depressive disorder who received outpatient or inpatient treatment in the Fourth People's Hospital of Chengdu from January 13， 2022 to December 11， 2023 were selected for the study. These patients also met the diagnostic criteria of Diagnostic and Statistical Manual of Mental Disorders， fifth edition（DSM-5）. Various tools were employed to assess patients in this study： Montgomery-Asberg Depression Rating Scale （MADRS） for the depressive symptoms， Perceived Deficits Questionnaire for Depression （PDQ-D） and Chinese Version of Brief Neurocognitive Test Battery （C-BCT） for the subjective and objective cognitive function， Sheehan Disability Scale （SDS） for the social function， and Clinical Global Impression-Severity of Illness（CGI-SI） for the severity of patient's condition. Pearson correlation analysis was used to examine the correlation of subjective and objective cognitive function and their differences with age， years of education， MADRS total score， SDS total score， and CGI-SI score. Multiple linear regression was used to explore the influencing factors of the differences between subjective and objective cognitive function. ResultsThere was a statistically significant difference in the total PDQ-D scores and the difference of subjective and objective cognitive function （D value） between depressive patients with and without medication （t=-4.228， -2.392， P<0.05 or 0.01）. There was no statistically significant correlation in subjective and objective cognitive function in patients with depressive disorder （r=-0.148， P>0.05）. Negative correlations can be observed between the PDQ-D total score and age or years of education （r=-0.333， -0.369， P<0.01）. The PDQ-D total score was positively correlated with MADRS total score， SDS total score and CGI-SI score （r=0.487， 0.637， 0.434， P<0.01）. D value was negatively correlated with age and years of education （r=-0.411， -0.362， P<0.01）， while positively correlated with MADRS total score， SDS total score and CGI-SI score （r=0.259， 0.468， 0.299， P<0.05 or 0.01）. Age （β=-0.328， P<0.01） and SDS total score （β=0.409， P<0.01） were two predictive factors for D value. ConclusionThe difference between subjective and objective cognitive function among patients with depressive disorder is related to several factors including age， years of education， severity of symptoms and impairment of social function. ［Funded by Surface Project of National Natural Science Foundation of China （number， 62173069）； Technological Innovation 2030-Major Project of "Brain Science and Brain-Like Research" （number， 2022ZD0211700）； Key R&D Support Program and Major Application Demonstration Project of Chengdu Science and Technology Bureau （number， 2022-YF09-00023-SN）］

ObjectiveTo investigate the prevalence and influencing factors of overweight， obesity and central obesity among elderly residents in Xuhui District， and to analyze the epidemiological status of central obesity in elderly people with different body mass indexes. MethodsThe third round of health status and health service utilization monitoring data in Xuhui District was used. The information collected from questionnaire survey and physical examination were analyzed. SPSS 20.0 software was used for χ² test， trend χ² test and multinominal logistic regression analysis. Results5 096 survey subjects were included. The prevalence of overweight， general obesity， and central obesity in the residents aged 60 and above in Xuhui District were 34.3%， 6.5%， and 29.2%， respectively. There was gender difference in the rates of overweight， obesity， and central obesity among the residents. The overweight and central obesity rates in males were higher than those in females， while the obesity rate was lower than that in females （P<0.05）. Multinominal logistic regression analysis showed that in comparison with the normal weight non-central obesity group drinking only at party （OR=1.729， 95%CI： 1.184‒2.525）， and hypertension （OR=1.637， 95%CI： 1.305‒2.053）， were highly associated with normal weight with central obesity. Aged 60‒ years （OR=1.589， 95%CI： 1.190‒2.120）， aged 70‒ years （OR=1.763， 95%CI： 1.327‒2.342）， male （OR=1.379， 95%CI： 1.134‒1.676）， hypertension （OR=2.231， 95%CI： 1.878‒2.649）， former smokers （OR=1.437， 95%CI： 1.027‒2.011）， drinking at party only （OR=1.491， 95%CI： 1.107‒2.006）， and drinking ≥3 times per week （OR=1.611， 95%CI： 1.116‒2.325）， were highly associated with overweight combined with central obesity. Aged 60‒ years （OR=3.817， 95%CI： 2.251‒6.474）， aged 70‒ years （OR=3.084， 95%CI： 1.838‒5.175）， hypertension （OR=3.683， 95%CI： 2.753‒4.929）， diabetes （OR=2.085， 95%CI： 1.511‒2.878）， former smokers （OR=1.835， 95%CI： 1.043‒3.226）， were highly associated with compound obesity. Central obesity was found in the elderly residents with different BMI categories， and the rate of central obesity increased with the increase of BMI grade. ConclusionThe prevalence of overweight， obesity and central obesity among the elderly aged 60 years and above in Xuhui District is not optimistic. Attention should be paid to the elderly under 80 years old who are with hypertension and/or diabetes， alcohol consumption， low educational level and not doing physical exercise. Especially for the central obesity population with normal BMI， measures should be taken to prevent and intervene the occurrence of obesity and related diseases.

Objective To explore the changes in the expression of glucose transporters 1/4(GLUT1/4)and Sirtuins in the retina of rats with diabetes.Methods Twenty 8-week-old healthy male Sprague-Dawley rats were randomly divid-ed into normal control and diabetic groups.Rats in the diabetic group received a disposable intraperitoneal injection of 60 mg·kg-1 streptozotocin to induce the diabetes model,while rats in the normal control group were injected with an equiva-lent amount of solvent.Body weight and blood glucose were measured at 2-week intervals.At 12 weeks after modeling,color Doppler ultrasound was applied to detect blood flow parameters in the central retinal artery(CRA)of rats;after an-esthetizing rats with sodium pentobarbital,eyeballs were harvested,and the pathological changes of rat retinal tissue were observed by hematoxylin & eosin(HE)staining.The expression of messenger ribonucleic acid(mRNA)for GLUT 1/4 and Sirtuins in the retina of rats were detected by immunohistochemical staining,Western blot and quantitative of reverse tran-scription polymerase chain reaction(qRT-PCR),respectively.Results At 12 weeks after modeling,compared with the normal control group,peak systolic velocity and end diastolic velocity were significantly lower in CRA of rats in the diabetic group(both P＜0.001);there were no significant differences in resistance index and pulsatility index(both P＞0.05).The HE staining results at 12 weeks after modeling showed that rats in the normal control group had clear structure in each layer of retinal tissues,closely and regularly arranged cells,and no obvious pathological changes;rats in the diabetic group showed decreased retinal thickness,blurred boundary of each layer,disordered structure and reduced cell number.Immu-nohistochemical staining at 12 weeks after modeling showed that GLUT 1 was mainly located in the retinal pigment epithelial layer of rats,and GLUT 4 was located in the ganglion cell layer,inner plexiform layer and photoreceptor layer.Western blot results showed that the relative expression of GLUT1 and GLUT 4 protein in the diabetic group were lower than that in the normal control group(both P＜0.05),and the relative expression of SIRT1-SIRT7 protein in the retina of rats in the di-abetic group were lower than those of the normal control group(all P＜0.05).qRT-PCR showed a decreased relative ex-pression of SIRT1-SIRT7 mRNA in the retina of rats in the diabetic group compared with that of the normal control group(allP＜0.01).Conclusion Diabetes can cause altered expression of GLUT1/4 and Sirtuins in the retinal tissue of rats,and GLUT1/4 and Sirtuins may be involved in the occurrence and development of diabetic retinopathy.

Objective To examines the correlation between lifestyle factors and semen quality among sperm donors at Anhui human sperm bank.Methods Demographic and lifestyle data were collected from 1,222 volunteers who donated sperm between January 2021 and December 2023,and their association with semen quality was analyzed.Results Univariate chi-square analysis revealed significant associations between several lifestyle factors and abnor-mal semen parameters(P＜0.05),including non-student status,frequent masturbation,short-term abstinence,low exercise frequency,frequent staying up late,smoking,drinking,and short sleep duration.Moreover,multiva-riate logistic regression analysis demonstrated that non-student status,longer abstinence time,and insufficient sleep were linked to abnormal semen volume.Additionally,abstinence time,exercise frequency,staying up late,smok-ing,and sleep duration were significantly correlated with abnormal semen concentration and sperm motility(P＜0.05).Conclusion Analysis reveals a close relationship between semen quality and volunteers'lifestyles,inclu-ding factors such as abstinence time,staying up late,sleep duration,smoking,drinking,and exercise frequency.

Objective To analyze the characteristics of males with autologous sperm preservation(ASP)in Anhui human sperm bank,and to explore the future direction of ASP in human sperm bank.Methods The basic infor-mation of males applied for ASP in Anhui human sperm bank from January 2019 to December 2023 was retrospec-tively analyzed.Results During this period,there were 424 males applied for ASP.93.40％(396/424)came from Anhui Province,of which 46.46％(197/424)came from Hefei.The age range of them was 15 to 59 years old.66.04％(280/424)had a college degree or above.23.11％(98/424)were employees of public institutions or enterprises.26.89％(114/424)were unmarried and 89.39％(379/424)were childless.67.45％(286/424)patients applied for ASP because of assisted reproductive technology treatment.15.33％(65/424)patients did it due to tumors,among which testicular cancer,lymphoma,leukemia and seminoma were the main reasons.A total of 1 163 semen samples were saved,and 53 males had used their sperm.Conclusion Only a few people applied for ASP,and the characteristics of males with ASP can be used to further strengthen publicity for key groups,espe-cially cancer patients,so as to benefit more people with autologous sperm preservation.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.