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 systematically evaluate the clinical efficacy of the prescriptions for softening hardness to dissipate mass combined with Levothyroxine Sodium in the treatment of postoperative thyroid cancer,and to provide evidence-based medical proof for clinical treatment of postoperative thyroid cancer.Methods Computer search was performed in the major domestic and oversea databases for the retrieval of clinical randomized controlled trials(RCTs)of prescriptions for softening hardness to dissipate mass combined with Levothyroxine Sodium for the treatment of postoperative thyroid cancer.After screening the literature according to the inclusion and exclusion criteria,the quality of the included literature was evaluated using the tools for analysis of the bias recommended by Cochrane Reviewer's Handbook and the modified JADAD rating scale,and meta-analysis was performed using RevMan 5.4 software.Results A total of 11 RCTs involving 749 patients were eventually included.The results of meta-analysis showed that compared with Levothyroxine Sodium alone,prescriptions for softening hardness to dissipate mass combined with Levothyroxine Sodium significantly enhanced the efficacy of postoperative patients with thyroid cancer(RR=1.30,95%CI[1.21,1.41],Z = 6.81,P＜0.000 01),and improved the thyroid functions parameters of serum thyroid stimulating hormone(TSH)(SMD=-1.75,95%CI[-2.38,-1.13],Z = 5.47,P＜0.000 01),thyroglobulin(TG)(SMD=-1.13,95%CI[-1.71,-0.55],Z = 3.81,P = 0.000 1),free triiodothyronine(FT3)(SMD=3.42,95%CI[0.73,6.10],Z = 2.50,P = 0.01),free thyroxine(FT4)(SMD=1.85,95%CI[0.05,3.66],Z = 2.02,P = 0.04),and thyroglobulin antibody(TgAb)(SMD=-0.63,95%CI[-1.11,-0.15],Z = 2.55,P = 0.01),increased Karnofsky Performance Status(KPS)scores(SMD= 2.19,95%CI[1.30,3.08],Z = 4.81,P＜0.000 01),shortened the time for the relief of clinical symptoms after thyroid cancer surgery(MD=-4.67,95%CI[-5.38,-3.96],Z = 12.87,P＜0.000 01),reduced the diameter of the largest thyroid nodule after thyroid cancer surgery(MD=-2.51,95%CI[-3.13,-1.89],Z = 7.94,P＜0.000 01),regulated the immune function indicators of T lymphocyte population CD3+(MD=8.68,95%CI[4.97,12.39],Z = 4.59,P＜0.000 01)and CD4+(MD=10.77,95%CI[5.46,16.08],Z = 3.97,P＜0.000 1)levels,and reduced the incidence of postoperative complications of thyroid cancer(RR=0.34,95%CI[0.18,0.65],Z = 3.26,P = 0.001).The differences were all statistically significant(P＜0.05).Conclusion prescriptions for softening hardness to dissipate mass combined with Levothyroxine Sodium can enhance the efficacy of postoperative patients with thyroid cancer.The combined therapy is superior to Levothyroxine Sodium alone in improving thyroid function indicators,KPS score,time for the relief of clinical symptoms,diameter of the largest thyroid nodule,immune function indicators,and the incidence of postoperative complications.However,due to the small amount of included trials and the fact that the prescriptions for softening hardness to dissipate mass vary in the composition,the conclusions of the analysis need to be confirmed by more high-quality,multi-center,large-sample clinically randomized controlled trials.

Objective To investigate the influences of circular RNA(circRNA)DCUN1D4 on the proliferation,apoptosis and immune escape of lung cancer cells by regulating the microRNA(miR)-18a-5p/fructose-1,6-bisphosphatase 1(FBP1)axis.Methods The human lung cancer cell lines H1975,H1650,A549 and SPCA-1 and human normal lung epidermal cells HPL-1 were selected,qRT-PCR was used to detect the expression levels of circDCUN1D4,miR-18a-5p and FBP1 mRNA in various cells.A549 cells in logarithmic growth phase were selected and divided into the blank group,circDCUN1D4 overexpression plasmid(circDCUN1D4)group,overexpression plasmid negative control(NC)group,circDCUN1D4+miR-18a-5p mimics negative control(circDCUN1D4+mimics NC)group,and circDCUN1D4+miR-18a-5p mimics group.The cell viability of each group was detected by CCK-8 method,the cell apoptosis was detected by flow cytometry,the expression levels of circDCUN1D4,miR-18a-5p and FBP1 mRNA of cells in each group were detected by qRT-PCR,the expression levels of FBP1,caspase-3,Ki67,proliferating cell nuclear antigen(PCNA)and programmed death ligand-1(PD-L1)were detected by Western blot,the targeting relationships of miR-18a-5p with circDCUN1D4 and FBP1 were verified by dual luciferase assay.Results Compared with HPL-1 cells,the mRNA expressions of circDCUN1D4 and FBP1 were significantly decreased(P<0.05),and the expression of miR-18a-5p was significantly increased(P<0.05).miR-18a-5p had targeting relationships with circDCUN1D4 and FBP1,respectively.Compared with the blank group and NC group,the OD values at 24 hours and 48 hours,and the expressions of Ki67,PCNA,miR-18a-5p and PD-L1 of cells in the circDCUN1D4 group were significantly decreased(P<0.05),and the apoptosis rate,and the expressions of circDCUN1D4,FBP1 and caspase-3 were significantly increased(P<0.05).Overexpression of miR-18a-5p reversed the inhibitory effect of circDCUN1D4 on the malignant behavior of lung cancer cells(P<0.05).Conclusion Overexpression of circDCUN1D4 can promote lung cancer cell apoptosis,inhibit lung cancer cell proliferation and immune escape,and its mechanism may be related to the regulation of miR-18a-5p/FBP1 axis.

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.

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 evaluate the efficacy of acute T-cell lymphoblastic leukemia(T-ALL)in children and explore the prognostic risk factors.Methods:The clinical data of 127 newly diagnosed children with T-ALL admitted to five hospitals in Fujian province from April 2011 to December 2020 were retrospectively analyzed,and compared with children with newly diagnosed acute precursor B-cell lymphoblastic leukemia(B-ALL)in the same period.Kaplan-Meier analysis was used to evaluate the overall survival(OS)and event-free survival(EFS),and COX proportional hazard regression model was used to evaluate the prognostic factors.Among 116 children with T-ALL who received standard treatment,78 cases received the Chinese Childhood Leukemia Collaborative Group(CCLG)-ALL 2008 protocol(CCLG-ALL 2008 group),and 38 cases received the China Childhood Cancer Collaborative Group(CCCG)-ALL 2015 protocol(CCCG-ALL 2015 group).The efficacy and serious adverse event(SAE)incidence of the two groups were compared.Results:Proportion of male,age ≥ 10 years old,white blood cell count(WBC)≥ 50 × 109/L,central nervous system leukemia,minimal residual disease(MRD)≥ 1％during induction therapy,and MRD ≥ 0.01％at the end of induction in T-ALL children were significantly higher than those in B-ALL children(P＜0.05).The expected 10-year EFS and OS of T-ALL were 59.7％and 66.0％,respectively,which were significantly lower than those of B-ALL(P＜0.001).COX analysis showed that WBC ≥ 100 x 109/L at initial diagnosis and failure to achieve complete remission(CR)after induction were independent risk factors for poor prognosis.Compared with CCLG-ALL 2008 group,CCCG-ALL 2015 group had lower incidence of infection-related SAE(15.8％vs 34.6％,P=0.042),but higher EFS and OS(73.9％vs 57.2％,PEFS=0.090;86.5％vs 62.3％,PoS=0.023).Conclusions:The prognosis of children with T-ALL is worse than children with B-ALL.WBC ≥ 100 × 109/L at initial diagnosis and non-CR after induction(especially mediastinal mass has not disappeared)are the risk factors for poor prognosis.CCCG-ALL 2015 regimen may reduce infection-related SAE and improve efficacy.