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 investigate the effect of Polyetheretherketone(PEEK)rod semi-rigid pedicle screw fixation sys-tem in lumbar spine non-fusion surgery.Methods A total of 74 patients with tow-level lumbar degenerative diseases who un-derwent surgery from March 2017 to December 2019 were divided into PEEK rod group and titanium rod group.In the PEEK rod group,there were 34 patients,including 13 males and 21 females,aged from 51 to 79 years old with an average of(62.4±6.8)years old;There were 1 patient of L1-L3 segments,7 patients of L2-L4 segments,20 patients of L3-L5 segments and 6 pa-tients of L4-S1 segments.In the titanium rod group,there were 40 patients,including 17 males and 23 females,aged from 52 to 81 years old with an average of(65.2±7.3)years old;There were 3 patient of L1-L3 segments,11 patients of L2-L4 segments,19 patients of L3-L5 segments and 7 patients of L4-S1 segments.The general conditions of operation,such as operation time,intraoperative blood loss,postoperative drainage was recorded.The visual analogue scale(VAS)for low back pain and Os-westry disability index(ODI)were compared in preoperatively and postoperatively(3 months,12 months and last follow-up)between two groups.The change of range of motion(ROM)was observed by flexion and extension x-ray of lumbar Results All patients successfully completed the operation.The follow-up time ranged from 22 to 34 months with an average of(26.8±5.6)months.The operative time(142.2±44.7)min and intraoperative blood loss(166.5±67.4)ml in PEEK group were lower than those in titanium group[(160.7±57.3)min、(212.8±85.4)ml](P＜0.05).There was no significant differences in postoperative drainage between the two groups(P＞0.05).At the final follow-up visit,in PEEK group and titanium group VAS of low back pain[(0.8±0.4)points vs(1.0±0.5)points],VAS for leg pain[(0.7±0.4)points vs(0.8±0.5)points]and ODI[(9.8±1.6)％vs(12.1±1.5)％]were compared with preoperative[(5.8±1.1)points vs(6.0±1.1)points],[(7.2±1.7)points vs(7.0±1.6)points],[(68.5±8.9)％vs(66.3±8.2)％]were significantly different(P＜0.05).There was no significant difference in VAS scores between the two groups at each postoperative time point(P＞0.05).At 3 months after surgery,there was no difference in ODI between the two groups(P＞0.05).There were significant differences in ODI between PEEK group and titanium rod group at 12 months[(15.5±2.1)％vs(18.4±2.4)％]and at the last follow-up[(9.8±1.6)％vs(12.1±1.5)％](P＜0.05).The total range of motion(ROM)of lumbar decreased in both groups after surgery.At 12 months after surgery and the last follow-up,the PEEK group compared with the titanium rod group,the total range of motion of lumbar was statistically significant(P＜0.05).The range of motion(ROM)of the fixed segments decreased in both groups after surgery.The ROM of the fixed segments in PEEK group decreased from(9.5±4.6)° to(4.1±1.9)° at the last follow-up(P＜0.05),which in the titanium rod group was de-creased from(9.8±4.3)°to(0.9±0.5)° at the last follow-up(P＜0.05).The range of motion(ROM)of upper adjacent segment increased in both groups,there was statistical significance in the ROM of upper adjacent segment between the two groups at 12 months after surgery and the last follow-up,(P＜0.05).There was no screw loosening and broken rods in both groups during the follow-up period.Conclusion The PEEK rod semi-rigid pedicle screw internal fixation system used in lumbar non-fusion surgery can retain part of the mobility of the fixed segment,showing comparable short-term clinical efficacy to titanium rod fu-sion.PEEK rod semi-rigid pedicle screw internal fixation system is a feasible choice for the treatment of lumbar spine degener-ative diseases,and its long-term efficacy needs further follow-up observation.

Objective:To explore the psychological experience and demand of parents of children with delayed recovery after congenital heart disease surgery.Methods:This study adopted phenomenological research methods from qualitative research. Using the purposive sampling method, parents of postoperative delayed recovery children with congenital heart disease who met the inclusion criteria were selected as the research objects from October to November 2019 at Fuwai Hospital, Chinese Academy of Medical Sciences. Semi-structured interviews were conducted with the parents of the children, and the data were analyzed by Colaizzi 7-step analysis method.Results:Finally, 13 parents of children with delayed recovery after congenital heart disease surgery were included. According to the interview results, four themes were extracted, which were negative psychological experience of parents of children with delayed recovery, positive psychological experience and expectation change of parents, heavy economic burden of parents and diversified needs of parents.Conclusions:During the delayed recovery period, psychological experience of parents is complex and their needs are diverse. The nursing staff should identify and pay attention to the causes of the negative psychological experience of the parents of the children, timely channel their negative emotions and strengthen the positive psychological experience in many aspects. They can assist parents to seek social help to reduce physical and mental pressure and meet the diverse needs of parents by providing high-quality nursing services and multi-channel information support.

Objective:To explore the clinical value of prostatic exosomal protein(PSEP)and PSA in the diagnosis of PCa with PSA in the gray zone(4-10 μg/L)and Prostate Imaging Reporting and Data System category3(PI-RADS-3)lesions.Meth-ods:From 2019 to 2022,211 patients with the PSA gray zone and PI-RADS-3 lesions underwent prostate multi-parameter MRI,pros-tate needle biopsy or transurethral resection/enucleation of the prostate.We collected the baseline urine samples from the patients,ex-amined the content of PSEP in the urine by ELISA and evaluated the performance of PSEP and PSA in the diagnosis of PCa.Re-sults:Among the total number of patients,57 were confirmed with PCa(the positive group)and the other 154 with benign prostate conditions(the negative group)by biopsy pathology.The free PSA level(fPSA),free to total PSA ratio(f/tPSA)and PSEP content were dramatically lower in the positive than in the negative group(all P<0.01).Uni-and multivariate analyses showed f/tPSA and PSEP to be independent factors for predicting PCa with the PSA gray zone and PI-RADS-3 lesions,with the AUC values of 0.70 and 0.78,best cutoff values of 0.18 and 1.45 μg/L,sensitivity of 84.21%and 70.18%,and specificity of 58.44%and 77.27%,re-spectively(P<0.01).The multivariate model with combined use of f/tPSA and PSEP(AUC:0.82,best cutoff value:0.31,sensi-tivity:82.46%,specificity:75.32%)outperformed either f/tPSA or PSEP alone in the diagnosis of PCa with the PSA gray zone and PI-RADS-3 lesions(P<0.01,P=0.04).Conclusion:For patients with the PSA gray zone and PI-RADS-3 lesions,f/tPSA and PSEP are significant predictors of PCa.The multivariate model of PSEP combined with f/tPSA can replace f/tPSA in the detection of PCa to improve diagnostic performance and avoid unnecessary prostate biopsy.

Objective:To investigate the clinical and genetic characteristics of a male carrier of exceptional complex chromo-some rearrangement(CCR)and the outcome of preimplantation genetic testing for chromosomal structural rearrangement(PGT-SR).Methods:Using the modified high resolution G banding technique and whole-genome low-coverage sequencing(WGLCS),we analyzed the cellular karyotype and molecular karyotype of a male carrier of CCR,performed an analysis of the single-sperm chromosome copy number and conducted PGT-SR for the patient by next-generation sequencing(NGS).In addition,we reviewed the literature on repor-ted male carriers of CCRs and summarized their normal/balanced sperm ratios and PGT-SR outcomes.Results:The karyotype of the patient was 46,XY,der(5)inv(5)(q14.3q23.2)t(5;14;11)(q23.2;q31.1;q21),der(11)t(5;14;11);der(14)t(5;14;11),with the translocation breakpoints located in the intergenic region.Single-sperm sequencing revealed 20.0%(7/35)of normal haploids in the male's spermatozoa,and the results PGT-SR showed a proportion of 25.0%(4/16)of normal/balanced embryos.After thawing and transferring of 2 euploid blastocysts,a healthy male infant was successfully delivered.Conclusion:The proportion of normal hap-loids in the spermatozoa of male CCR carriers may be higher than theoretically predicted,and PGT-SR can effectively improve the preg-nancy outcome in male CCR carriers and provide valuable data for genetic counseling.

AIM To explore the clinical effects of Lingze Jiangzhi Decoction combined with Polyene Phosphatidylcholine Capsules on patients with non-alcoholic fatty liver disease.METHODS Eighty patients were randomly assigned into control group(40 cases)for 3-month administration of Polyene Phosphatidylcholine Capsules,and observation group(40 cases)for 3-month administration of both Lingze Jiangzhi Decoction and Polyene Phosphatidylcholine Capsules.The changes in clinical effects,blood lipid indices(TC,HDL-C,LDL-C,TG),blood glucose indices(HbA1c,FPG),LPS,oxidative stress indices(T-AOC,SOD,NO),insulin sensitivity indices(GLUT4,IRS1,IRS2),liver function indices(ALT,AST),liver injury indices(γ-2GT,TGF-β,LEP,nuclear factor κB)and TCM symptom scores were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05).After the treatment,the two groups displayed decreased TC,LDL-C,TG,blood glucose indices,LPS,NO,liver function indices,liver injury indices,TCM symptom scores(P＜0.05),and decreased HDL-C,T-AOC,SOD,insulin sensitivity indices(P＜0.05),especially for the observation group(P＜0.05).CONCLUSION For the patients with non-alcoholic fatty liver disease,Lingze Jiangzhi Decoction combined with Polyene Phosphatidylcholine Capsules can improve glucose and lipid metabolism,insulin sensitivity,liver functions,inhibit inflammation,reduce oxidative stress injury,liver injury,and enhance clinical efficacy.