Objective:To examine the validity and reliability of the Basic Psychological Needs Satisfaction and Frustration Scale(BPNSFS)in the adult population.Methods:A total of 488 adults were recruited and random-ly divided into 2 groups.One half(n=244)was utilized for item analysis and exploratory factor analysis,while the other half(n=244)was reserved for confirmatory factor analysis.One month later,a convenient sample of 100 in-dividuals was selected for retesting.The Depression-Anxiety-Stress Scale-21(DASS-21)and the Satisfaction with Life Scale(SWLS)were employed as criterion measures.Results:Both subscales of the BPNSFS demonstrated a 3-factor structure,explaining a total variance of 60.99％and 60.31％,respectively.The 3-factor model exhibited good fit indices(x2/df=1.85,2.47;RMSEA=0.06,0.08;CFI=0.95,0.94;TLI=0.94,0.92;SRMR=0.04,0.05).Scores on both subscales and their dimensions were significantly correlated with DASS-21 and SWLS scores(|r|=0.16-0.57,Ps＜0.001).The Cronbach α coefficients for the 2 subscales were 0.87 and 0.89,with Cronbach α values for each dimension ranging from 0.73 to 0.81.The test-retest reliabilities(ICC)for the 2 sub-scales were 0.84 and 0.80,with ICC values for each dimension ranging from 0.65 to 0.83.Conclusion:The validi-ty and reliability of the Chinese version of the Basic Psychological Needs Satisfaction and Frustration Scale demon-strate good measurement properties in assessing the adult population.

Objective To improve the quality of diagnosis and coding on obstetric medical record home pages in our cit-y,identify major issues,and provide a basis for targeted training interventions.Methods Utilizing a medical record quality con-trol system and logic validation rules,we conducted verification and problem identification analysis on diagnosis and coding infor-mation from all obstetric medical record home pages throughout 2024 across five tertiary hospitals in the city.Results 40.37％of the front page of obstetric medical record had problems.The major problems included missing diagnosis(65.75％),wrong coding(25.02％)and wrong choice of main diagnosis(6.99％).Conclusion The establishment of logical validation rules based on the information on front pages of obstetric medical record can identify the problems in the diagnosis together with the coding of front page of obstetric medical record,which is conducive to targeted training of obstetrician and medical record coders,as well as improving the completeness and accuracy of the diagnosis and coding of the front page of obstetric medical record.

Objective To compare the clinical efficacy and safety of transarterial chemoembolization(TACE)plus apatinib(Apa)and camrelizumab(Cam)and TACE plus Apa in treating CNLC stage Ⅲ hepatocellular carcinoma(HCC).Methods A total of 54 patients in Affiliated Yancheng No.1 People's Hospital,School of Medicine,Nanjing University with CNLC stage Ⅲ HCC were enrolled in this study.The patients were divided into triple treatment group(n=25,receiving TACE plus Apa and Cam)and dual treatment group(n=29,receiving TACE plus Apa).The overall survival(OS)and progression-free survival(PFS)were compared between the two groups.Univariate analysis and multivariate analysis were used to determine the independent influencing factors for OS and PFS.The target immunotherapy-related adverse reactions(TRAE)were analyzed.Results The median OS and PFS in the triple treatment group were 23.2 months and 10.9 months respectively,which were higher than 15.2 months and 5.8 months respectively in the dual treatment group(both P＜0.001).Multivariate analysis indicated that the therapeutic regimen and the type of portal vein tumor thrombosis(PVTT)were the independent factors affecting OS,while only the therapeutic regimen was the independent factor affecting PFS.The incidence of≥grade Ⅲ TRAE in the triple treatment group and the dual treatment group was 20％(5/25)and 17.2％(5/29)respectively,the difference between the two groups was not statistically significant(P＞0.05).Conclusion For the treatment of patients with CNLC stage Ⅲ HCC,TACE plus Apa and Cam is superior to TACE plus Apa in OS and PFS,and the type of PVTT and the therapeutic regimen are the independent prognostic factors associated with patient's survival.

Objective:To examine the validity and reliability of the Basic Psychological Needs Satisfaction and Frustration Scale(BPNSFS)in the adult population.Methods:A total of 488 adults were recruited and random-ly divided into 2 groups.One half(n=244)was utilized for item analysis and exploratory factor analysis,while the other half(n=244)was reserved for confirmatory factor analysis.One month later,a convenient sample of 100 in-dividuals was selected for retesting.The Depression-Anxiety-Stress Scale-21(DASS-21)and the Satisfaction with Life Scale(SWLS)were employed as criterion measures.Results:Both subscales of the BPNSFS demonstrated a 3-factor structure,explaining a total variance of 60.99％and 60.31％,respectively.The 3-factor model exhibited good fit indices(x2/df=1.85,2.47;RMSEA=0.06,0.08;CFI=0.95,0.94;TLI=0.94,0.92;SRMR=0.04,0.05).Scores on both subscales and their dimensions were significantly correlated with DASS-21 and SWLS scores(|r|=0.16-0.57,Ps＜0.001).The Cronbach α coefficients for the 2 subscales were 0.87 and 0.89,with Cronbach α values for each dimension ranging from 0.73 to 0.81.The test-retest reliabilities(ICC)for the 2 sub-scales were 0.84 and 0.80,with ICC values for each dimension ranging from 0.65 to 0.83.Conclusion:The validi-ty and reliability of the Chinese version of the Basic Psychological Needs Satisfaction and Frustration Scale demon-strate good measurement properties in assessing the adult population.

Objective To improve the quality of diagnosis and coding on obstetric medical record home pages in our cit-y,identify major issues,and provide a basis for targeted training interventions.Methods Utilizing a medical record quality con-trol system and logic validation rules,we conducted verification and problem identification analysis on diagnosis and coding infor-mation from all obstetric medical record home pages throughout 2024 across five tertiary hospitals in the city.Results 40.37％of the front page of obstetric medical record had problems.The major problems included missing diagnosis(65.75％),wrong coding(25.02％)and wrong choice of main diagnosis(6.99％).Conclusion The establishment of logical validation rules based on the information on front pages of obstetric medical record can identify the problems in the diagnosis together with the coding of front page of obstetric medical record,which is conducive to targeted training of obstetrician and medical record coders,as well as improving the completeness and accuracy of the diagnosis and coding of the front page of obstetric medical record.

In response to the high cost and time consumption of medical image annotation,and issues such as the imprecision of unlabeled data segmentation in semi-supervised medical image segmentation,loss of image edge information,and delayed parameter updates,a semi-supervised medical image segmentation method based on consistency regularization is presented.Firstly,an uncertainty measurement method based on the dual perspectives of entropy and variance is designed to assess the uncertainty of predictions for unlabeled data,jointly evaluating the uncertainty of unlabeled data from the perspectives of entropy and variance.Then,edge-preserving noise based on the Canny operator is used to retain image edge information and important structures,thereby avoiding the potential blurring of organ edges that may result from the addition of random noise.Finally,a semi-supervised residual-driven segmentation method based on the mean teacher framework is developed,with a Frobenius norm regularization term in the exponential moving average scheme to enhance the performance of mean teacher.The proposed method is validated on the publicly available multi-organ segmentation benchmark dataset BTCV and brain tumor segmentation dataset BraTS 2019.In the case of 40%labeled data in the BTCV dataset,Dice similarity coefficient and standardized surface distance are 77.42%and 79.47%,respectively.In the case of 20%labeled data in the BraTS 2019 dataset,the proposed method achieve a Dice similarity coefficient of 83.89%,a Jaccard coefficient of 74.21%,an average surface distance of 2.34 mm,and a 95%Hausdorff distance of 9.08 mm,demonstrating its superiority.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

OBJECTIVE: To investigate the role of α7-nicotinic acetylcholine receptor (α7-nAChR) in the regulation of neuronal activity and expression of synapse-related proteins in the thalamic reticular nucleus (TRN) of insomnia rats treated by acupuncture. METHODS: A total of 36 male Sprague-Dawley (SD) rats of clean grade were randomly divided into a control group, a model group, an acupuncture group, and an acupuncture+antagonist group, with 9 rats in each group. The model group, the acupuncture group, and the acupuncture+antagonist group were treated with intraperitoneal injection of p-chlorophenylalanine (PCPA) to establish insomnia model. After successful modeling, the acupuncture group and the acupuncture+antagonist group received acupuncture at bilateral Neiguan (PC6) and Zusanli (ST36) once daily for 5 consecutive days. Thirty min before each acupuncture session, the acupuncture+antagonist group was intraperitoneally injected with methyllycaconitine citrate (MLA), an α7-nAChR antagonist, at a dosage of 5 mg/kg while the acupuncture group received the same volume of 0.9% sodium chloride solution. The rats' daytime spontaneous activity was observed. Neuronal discharge in the TRN was detected using neuroelectrophysiological methods. Immunofluorescence staining was used to detect parvalbumin-positive (PV⁺) neurons and co-expression of PV⁺ and postsynaptic density protein-95 (PSD-95) in the TRN. RESULTS: Compared with the control group, the model group showed increased daytime spontaneous activity (P<0.01); decreased average fluorescence intensity and positive number of PV⁺ neurons in the TRN (P<0.01); decreased neuronal discharge frequency (P<0.01), prolonged inter-discharge intervals (P<0.01) in the TRN; reduced number of PV⁺/PSD-95 double-positive cells in the TRN (P<0.01). Compared with the model group, the acupuncture group showed decreased daytime spontaneous activity (P<0.01); increased average fluorescence intensity and positive number of PV⁺ neurons in the TRN (P<0.01); increased neuronal discharge frequency (P<0.01), shortened inter-discharge intervals (P<0.01) in the TRN; increased number of PV⁺/PSD-95 double-positive cells in the TRN (P<0.05). Compared with the acupuncture group, the acupuncture+antagonist group exhibited increased daytime spontaneous activity (P<0.01); reduced average fluorescence intensity and positive number of PV⁺ neurons in the TRN (P<0.01); decreased neuronal discharge frequency (P<0.05), prolonged inter-discharge intervals (P<0.05) in the TRN; reduced number of PV⁺/PSD-95 double-positive cells in the TRN (P<0.01). CONCLUSION α7-nAChR are involved in mediating the regulatory effect of acupuncture on circadian rhythm disturbances in PCPA-induced insomnia rats. Blocking α7-nAChR attenuates the activating effect of acupuncture on TRN neurons, and reduces the expression of PSD-95 protein on GABAergic neurons.
Animals ; Male ; Acupuncture Therapy ; alpha7 Nicotinic Acetylcholine Receptor/genetics* ; Rats, Sprague-Dawley ; Rats ; Sleep Initiation and Maintenance Disorders/physiopathology* ; Neurons/metabolism* ; Humans ; Thalamic Nuclei/physiopathology* ; Acupuncture Points ; Disks Large Homolog 4 Protein

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.