Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective To evaluate the clinical efficacy of oral use of Jiawei Puji Xiaodu Granules(mainly composed of Lonicerae Japonicae Flos,Forsythiae Fructus,Taraxaci Herba,Violae Herba,Schizonepetae Herba,Arctii Fructus,Gleditsiae Spina,Paeoniae Radix Rubra,Moutan Cortex,and Phragmitis Rhizoma)combined with external application of Xiaozhong Sanjie Ointment(mainly composed of Scutellariae Radix,Coptidis Rhizoma,Phellodendri Chinensis Cortex,and Gleditsiae Spina,etc.)in the treatment of acute tonsillitis in children,and to observe their effects on the immune function and related inflammatory indexes of the patients.Methods A total of 116 children with acute tonsillitis of heat stagnation in the lung and stomach type were randomly divided into the control group and the observation group,with 58 cases in each group.The control group was treated with Cefixime Dispersible Tablets,while the observation group was treated with Jiawei Puji Xiaodu Granules for oral use and Xiaozhong Sanjie Ointment for external application.Both groups were treated for 14 days and then were followed-up for a period of 6 months.The changes of traditional Chinese medicine(TCM)syndrome scores,white blood cell(WBC)count,T lymphocyte subset CD3+,CD4+,CD8+ and CD4+/CD8+ levels,and serum levels of tumor necrosis factor α(TNF-α),interleukin 1β(IL-1β),interleukin 6(IL-6)and C-reactive protein(CRP)in the two groups were observed before and after the treatment.Moreover,the clinical efficacy and time for the disappearance of clinical symptoms were compared between the two groups,and the occurrence of adverse reactions and the recurrence of tonsillitis in the two groups were monitored at the same time.Results(1)During the trial,there were 8 cases falling off in the control group but none case falling off in the observation group,and eventually 50 cases in the control group and 58 cases in the observation group completed the full course of treatment.(2)After 14 days of treatment,the total effective rate of the observation group was 98.28%(57/58),while that of the control group was 90.00%(45/50).The intergroup(tested by rank sum test)showed that the clinical efficacy of the observation group was significantly superior to that of the control group(P＜0.05).(3)After treatment,the time for the disappearance of sore throat,time for the disappearance of purulent spots,time for subsiding fever and time for the tonsils recovering to normal in the observation group were all significantly shorter than those in the control group(P＜0.05).(4)After treatment,the scores of primary and secondary symptoms and the overall symptom scores in the two groups were significantly lower than those before treatment(P＜0.05),and the reduction of the scores in the observation group was significantly superior to that in the control group(P＜0.05).(5)After treatment,the levels of T lymphocyte subset CD3+,CD4+ and CD4+/CD8+ in the two groups were significantly higher(P＜0.05)while the level of CD8 + was significantly lower(P＜0.05)than those before treatment,and the increase in the levels of CD3+,CD4+ and CD4+/CD8+ and the reduction of the CD8+ level of the observation group were significantly superior to those of the control group(P＜0.05).(6)After treatment,the levels of WBC,TNF-α,IL-1β,IL-6 and CRP in the two groups were significantly lower than those before treatment(P＜0.05),and the reduction in the observation group was significantly superior to that in the control group(P＜0.05).(7)During the treatment period,no skin allergy,nausea,vomiting or other gastrointestinal adverse reactions occurred in the two groups,which showed a high degree of safety.(8)The 6-month follow-up showed that the recurrence rate of tonsillitis in the observation group was 5.17%(3/58),which was significantly lower than that of 24.00%(12/50)in the control group,and the difference was statistically significant(χ2 = 8.330,P＜0.05).Conclusion The efficacy of Jiawei Puji Xiaodu Granules combined with Xiaozhong Sanjie Ointment exert notable curative effect for children with acute tonsillitis of heat stagnation in the lung and stomach type.The combined therapy can significantly shorten the duration of the disease,improve the clinical symptoms of the children and effectively reduce the recurrence rate of tonsillitis.The therapeutic mechanism may be related to the enhancement of the immune function and the inhibition of inflammatory response.

DNA origami is a powerful technique for generating nanostructures with dynamic properties and intelligent controllability. The precise geometric shapes, high programmability, and excellent biocompatibility make DNA origami nanostructures an emerging drug delivery vehicle. The shape, size of the carrier material, as well as the loading and release of drugs are important factors affecting the bioavailability of drugs. This paper focuses on the controllable design of DNA origami nanostructures, efficient drug loading, and intelligent drug release. It summarizes the cutting-edge applications of DNA origami technology in biomedicine, and discusses areas where researchers can contribute to further advancing the clinical application of DNA origami carriers.

Objective:To explore the effectiveness of combining individualized training based on the Chinese quality of upper extremity skill test (Ch-QUEST) with mirror therapy (MT) in rehabilitating the upper limb motor function of children with unilateral spastic cerebral palsy (SHCP).Methods:Forty-five children with unilateral spasticity from cerebral palsy were randomly divided into a control group and two observation groups, each of 15. All received routine rehabilitation including kinesitherapy, physical factor therapy and occupational therapy. Five days a week for 12 weeks the control group underwent 40 minutes of routine upper limb function training. Observation group 1 completed 25 minutes of the routine upper limb function training and 15 minutes of MT, while observation group 2 finished 10 minutes of routine upper limb function training, 15 minutes of MT and 15 minutes of individualized instruction based on the Ch-QUEST. Before and after the experiment, all the three groups were assessed using gross motor function measure-88 (GMFM-88), the Carroll upper extremity function test (UEFT), the functional independence measures for children (WeeFIM) and the E-LINK system.Results:After the treatment the average GMFM-88, UEFT and WeeFIM scores of all three groups had improved, with the greatest average improvements in observation group 2. There were also significant grip strength improvements, with those of group 2 significantly better than among the other two groups on average.Conclusion:Combining Ch-QUEST-guided individualized training with mirror therapy can better improve the upper limb motor function and ADL of children with SHCP.

Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]

Objective To explore the correlation between serum lipid levels of total cholesterol(TC)and triglyceride(TG)and the survival prognosis in postoperative patients with early lung cancer,and to observe the effect of Fuzheng Quxie Prescription on serum lipid levels in postoperative patients with early lung cancer,so as to explore the mechanism of Fuzheng Quxie Prescription in improving the survival prognosis of postoperative patients with early lung cancer.Methods The correlation of serum TC and TG levels with survival prognosis of 257 postoperative patients with early lung cancer admitted in Shanghai Municipal Hospital of Traditional Chinese Medicine from July 2010 to December 2015 was retrospectively analyzed.The changes of serum TC and TG levels in postoperative patients with early lung cancer before and after treatment with Fuzheng Quxie Prescription were statistically analyzed.From January 2017 to April 2021,a prospective analysis of the one-year,two-year,three-year and four-year disease-free survival rates and serum TC and TG levels was carried out in 281 postoperative patients with early lung cancer treated with Fuzheng Quxie Prescription orally in Shanghai Municipal Hospital of Traditional Chinese Medicine(treatment group)and in 287 postoperative patients with early lung cancer who were followed up in clinic while had no medciation in Shanghai Pulmonary Hospital(control group).Results(1)The retrospective study showed that pre-treatment TC level was correlated with progression-free survival(PFS)in postoperative patients with early lung cancer,and the patients with high TC level had longer PFS.There was no significant correlation between pre-treatment TG level and PFS in postoperative patients with early lung cancer.The patients with high TG level had higher short-term survival rate while the patients with low TG level had higher long-term survival rate.(2)The prospective study showed that there were nine cases of recurrence in the treatment group and 24 cases of recurrence in the control group till the last follow-up time on April 1,2021.The one-year,two-year,three-year and four-year disease-free survival rates in the treatment group were 99.3％,96.8％,95.7％and 95.7％,respectively,which were superior to 97.6％,92.3％,89.2％and 87.1％in the control group(P＜0.05),indicating that the recurrence and metastasis in the postoperative patients with early lung cancer treated by Fuzheng Quxie Prescription were significantly reduced when compared with the control group,and the disease-free survival rate was significantly improved.After treatment,the serum levels of TC and TG in the treatment group were increased when compared with those before treatment(P＜0.05)while the control group showed no obvious changes(P＞0.05).The intergroup comparison showed that the increase of serum TC and TG levels in the treatment group was superior to that in the control group(P＜0.05),indicating that Fuzheng Quxie Prescription had regulatory effect on the blood lipid level of patients to a certain extent.Conclusion The analysis of the correlation between pre-treatment blood lipids and PFS prognosis in postoperative patients with early lung cancer indicated that lung cancer patients with high TC level had longer PFS;Fuzheng Quxie Prescription can regulate the blood lipid level of postoperative patients with early lung adenocarcinoma.It is speculated that Fuzheng Quxie Prescription may improve the survival prognosis of postoperative patients with early lung cancer probably by regulating the blood lipid level of the patients.