To explore screening tools for children with autism spectrum disorder (ASD), which are convenient for primary hospitals, it can provide basic data for formulating ASD prevention policies. This was a cross-sectional study by cluster sampling. Huyi District and Xincheng District were extracted for investigation in Xi′an City. From July 2021 to September 2022, all children aged from 3 months to 36 months who live in the two districts were subjected to primary screening. The child care physician used the routine screening tool "warning signs checklist for screening psychological, behavioral and developmental problems of children" and cartoon pictures of "early high-risk warning signs of autism", the children who were positive in the initial screening were referred to the district level maternal and child health hospital for re-screening, and those who were positive in the re-screening were referred to Xi ′an Children′s Hospital for diagnosis. The results showed that a total of 17 905 children aged from 3 months to 36 months were initially screened in the two districts, including 10 588 children aged from 18 months to 36 months, 50 children who were positive in the initial screening and 50 children who were re-screened. 23 children (18 boys and 5 girls) were diagnosed with ASD. The prevalence rate of ASD in children was 2.17‰ (95% confidence interval:1.29‰-3.06‰). 42 children were positive for "warning signs checklist" at the preliminary screening, and 19 were confirmed as ASD. 27 children were positive for "cartoon pictures" in the preliminary screening, and 23 were confirmed with ASD. The "cartoon pictures" in the preliminary screening and diagnosis of consistent rate was higher than the "warning signs checklist", two kinds of screening methods comparison were statistically significant difference in the odds of consistent (χ 2=11.01, P=0.001). In conclusion, relying on the three-level network of maternal and child health care, it is conducive to the whole process management of screening and diagnosis of children with ASD, and to guide the formulation of prevention policies. The cartoon pictures of "early high-risk warning signs of autism" can assist the identification of children with ASD based on the "warning signs checklist", which is simple, effective and suitable for promotion in the community health care.

Objective:To investigate the predictive value of a radiomics model based on biparametric magnetic resonance imaging(bpMRI)for biochemical recurrence(BCR)after radical prostatectomy(RP)in elderly prostate cancer patients(≥60 years old).Methods:A retrospective analysis was conducted on data from 175 patients treated at Beijing Hospital from August 2017 to December 2021.Based on pathological results, image segmentation was performed on preoperative bpMRI T2, diffusion weighted imaging(DWI), and apparent diffusion coefficient(ADC)sequences.Pyradiomics was utilized to extract radiomic features, and Cox regression, Spearman correlation coefficient, and LASSO regression were employed for feature dimensionality reduction, leading to the construction of radiomic labels.Clinical models and image-clinical combined models were developed using multifactorial Cox regression analysis, and the performance of these models in predicting BCR was evaluated using the concordance index(C-index).Results:The 175 patients were randomly divided into a training set(122 cases)and a test set(53 cases)at a ratio of 7∶3, with 24 cases(19.7%, 24/122)and 11 cases(20.8%, 11/53)experiencing BCR, respectively.A total of 5 775 radiomic features were extracted from the three sequences, and after dimensionality reduction, 5 features were selected to construct the radiomic labels.The radiomics model exhibited C-index values of 0.764(95% CI: 0.655-0.872)and 0.769(95% CI: 0.632-0.906)in the training and test sets, respectively.Multifactorial Cox regression analysis revealed serum prostate-specific antigen(PSA)( HR=1.032, 95% CI: 1.010-1.054), postoperative pathology International Society of Urological Pathology(ISUP)grade grouping( HR=1.682, 95% CI: 1.039-2.722), and positive surgical margins( HR=2.513, 95% CI: 1.094-5.774)as independent predictors of BCR.The clinical model exhibited C-index values of 0.751(95% CI: 0.655-0.846)and 0.753(95% CI: 0.630-0.877)in the training and test sets, respectively.Following combined modeling of clinical factors and radiomic labels, the image-clinical combined model demonstrated the highest C-index values, namely 0.782(95% CI: 0.679-0.874)and 0.801(95% CI: 0.677-0.915)in the training and test sets, respectively. Conclusions:The radiomics model based on bpMRI can predict the occurrence of BCR after RP in elderly prostate cancer patients.Combined modeling of clinical factors and radiomic labels can enhance predictive efficiency.

Objective:To investigate the change of chemical exchange saturation transfer (CEST) imaging in the bilateral substantia nigra (SN) and red nucleus (RN) of Parkinson disease (PD), and to explore the value of CEST-MRI for the clinical application of PD.Methods:This was a cross-sectional study. A total of 45 PD patients (PD group) and 21 sex-, age-, and cognitive-function matched normal control subjects (NC group) were retrospectively enrolled from December 2012 to July 2015 in Beijing Hospital. All subjects underwent brain CEST-MRI and routine MRI. Based on the MATLAB software package, the 4-pool Lorentz fitting model was applied to analyze the signal change of CEST imaging, which could acquire the mean amplitudes of the 4-pool parameters including Amide, nuclear overhauser enhancement (NOE), direct water saturation (DS) and magnetization transfer (MT) in the bilateral SN and RN. Independent samples t test and Mann-Whitney U test were used to compare CEST parameters between the PD group and the NC group and controlled by Bonferroni correction. The combined model was constructed based on parameters with inter-group differences after correction. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the diagnostic efficiency of the CEST parameters and the combined model. Results:Compared with the NC group, the left SN Amide value, left RN Amide value, and right SN NOE value were reduced in the PD group, and the difference was statistically significant ( t=-3.59, corrected P=0.026; t=-3.77, corrected P=0.016; Z=-3.27, corrected P=0.017). The left SN Amide value, the left RN Amide value, the right SN NOE value, and the combined model all had good diagnostic efficacy in the differentiation of the PD group from the HC group (AUCs of 0.78, 0.79, 0.75, and 0.81, respectively). The combined model had the highest AUC value (0.81) and specificity (97.78%), the Amide value of left SN had the highest sensitivity (93.33%). Conclusions:Quantitative analysis of CEST-MRI based on the 4-pool Lorentz fitting model shows significant differences in the CEST quantitative indicators of the SN and RN between the PD group and the NC group, demonstrating good potential for clinical application in the diagnosis of PD.

Objective:To investigate the application value of the maximum standardized uptake value (SUVmax) of 18F prostate-specific membrane antigen (PSMA) PET/CT combined with the minimum apparent diffusion coefficient (ADCmin) of biparametric magnetic resonance imaging (bpMRI) in predicting pathological upgrading after radical prostatectomy (RP) for prostate cancer. Methods:The data of 89 patients with localized prostate cancer treated at Beijing Hospital from April 2019 to October 2023 were retrospectively analysed. The average age of patients was (68.4±7.0) years old, with prostate-specific antigen (PSA) level of 7.7 (5.4, 12.9) ng/ml, prostate volume of 34.6 (26.9, 47.1) ml, tumor diameter of 1.3 (1.0, 1.8) cm, prostate imaging reporting and data system(PI-RADS) score of 5 in 29 cases (32.6%), clinical stage ≥T 3 in 13 cases (14.6%). There were 31 cases (34.8%) in group 1 of targeted biopsy International Society of Urological Pathology (ISUP)grading groups, 36 cases (40.4%) in group 2, 11 cases (12.4%) in group 3, and 11 cases (12.4%) in group 4. All patients underwent 18F-PSMA PET/CT and bpMRI examinations before RP. The index lesion, identified as the highest Gleason score in pathological whole-mount sections, were outlined. SUVmax and ADCmin values were calculated from the images' region of interest. Pathological upgrading was defined as the post-RP grade group higher than the targeted-biopsy grade group. Clinical data of patients with and without pathological upgrading were compared. Spearman correlation coefficient analysis was used to assess the correlation between SUVmax and ADCmin. Multivariate logistic regression analysis was conducted to evaluate the factors influencing pathological upgrading. Receiver operating characteristic (ROC) curve analysis was employed to assess the predictive value of each indicator for pathological upgrading. Results:Among the 89 cases, 31 cases (34.8%) experienced pathological upgrading. Compared with the patients without pathological upgrading, the SUVmax [11.3 (8.1, 16.4) vs. 6.7 (4.6, 9.2)], SUVmax/ADCmin ratio [3.1 (2.0, 4.6) vs. 1.4 (0.9, 2.1)], PSA [9.8 (6.3, 15.6) ng/ml vs. 7.1 (5.1, 10.5) ng/ml], PSA density [0.3 (0.2, 0.5) ng/ml 2 vs. 0.2 (0.1, 0.3) ng/ml 2], and post-RP ISUP grade group [≥3 group 17 cases (54.8%) vs. 13 cases(22.4%) ]were higher in patients with pathological upgrading, while ADCmin [3.8 (3.0, 5.3) ×10 -4 mm 2/s vs. 5.2 (3.6, 6.1)×10 -4 mm 2/s] and targeted biopsy ISUP grade group [≤2 group 27 cases(87.1%) vs. 40 cases(69.0%) ] were lower (all P<0.05). Spearman analysis showed a negative correlation between SUVmax and ADCmin ( R = -0.227, P = 0.032). Multivariate logistic regression analysis revealed that SUVmax ( OR = 1.108, 95% CI 1.020-1.238), ADCmin ( OR=0.607, 95% CI 0.390-0.874), and SUVmax/ADCmin ratio ( OR = 1.815, 95% CI 1.282-2.949) independently predicted pathological upgrading. The AUC of the SUVmax/ADCmin ratio for predicting pathological upgrading (AUC = 0.817) was higher than that of SUVmax (AUC = 0.774) and ADCmin (AUC=0.686), indicating a higher predictive efficiency. Conclusions:SUVmax, ADCmin, and SUVmax/ADCmin ratio can independently predict pathological upgrading in targeted biopsy of prostate cancer. The SUVmax/ADCmin ratio has a stronger predictive value for pathological upgrading.

Objective:To evaluate the clinical efficacy and safety of intense pulsed light combined with fruit acid in the treatment of erythema and pigmentation after facial acne.Methods:From January 2019 to December 2022, 108 patients were selected from Dermatology Hospital of Guangxi Zhuang Autonomous Region, including 30 males and 78 females, aged 20-44 (28.2±5.1) years. The patients were divided into three groups: intense pulsed light group (40 cases), fruit acid group (38 cases) and intense pulsed light combined with fruit acid group (30 cases). The clinical efficacy of the three groups was compared. The facial biological characteristics data of patients were collected with VISIA skin analyzer and the changes compared before and after treatment in each group.Results:The total effective rates of the intense pulsed light group, the fruit acid group and the combination group were 57.5% (23/40 cases), 50.0% (19/38 cases), and 80.0% (24/30 cases), respectively. Comparison of total effective rates among three groups, there were statistically significant differences (χ 2=6.70, P=0.04). Comparison of effective rates among different groups showed that there was no difference between the intense pulsed light group and the fruit acid group (χ 2=0.44, P=0.51); there were significant difference between the intense pulse light group and the combination group (χ 2=3.93, 6.49; P<0.05), and between the fruit acid group and the combination group (χ 2=6.49, P=0.01). After treatment, the VISIA scores of erythema, spots, pores, and purple in three groups of patients significantly decreased compared to before treatment ( P<0.05). The VISIA scores of each observation value showed a decreasing trend with the increase of treatment frequency ( P<0.01). During the treatment, no obvious adverse reactions were observed. Conclusions:Intense pulsed light combined with fruit acid in the treatment of facial erythema postacnes and postinflammatory hyperpigmentation can improve the efficacy and less adverse reactions.

Objective:In order to explore the impact of corona virus disease 2019(COVID-19)on the hospitalization of children with bronchiolitis and to improve clinicians′ understanding of the characteristics of bronchiolitis during the COVID-19 epidemic.Methods:This was a multicenter clinical study, and the data have been collected from 23 children′s medical centers in China.All the clinical data were retrospectively collected from children with bronchiolitis who were hospitalized at each study center from January 1, 2019 to December 31, 2021.The results included gender, age at hospitalization, length of stay, respiratory syncytial virus(RSV) test results, severity rating, ICU treatment, and the total number of children hospitalized with respiratory tract infection during the same period.The clinical data of children with bronchiolitis in 2019 before COVID-19 epidemic and in 2020、2021 during COVID-19 epidemic were statistically analyzed and compared.Results:According to a summary of data provided by 23 children′s medical centers, there were 4 909 cases of bronchiolitis in 2019, 2 654 cases in 2020, and 3 500 cases in 2021.Compared with 2019, the number of bronchiolitis cases decreased by 45.94% in 2020 and 28.70% in 2021.In 2019, 2020 and 2021, there were no significant differences in gender ratio, age, and duration of hospitalization.Compared with 2019, the ratio of bronchiolitis to the total number of hospitalizations for respiratory tract infection decreased significantly in 2020 and 2021( χ2=12.762, P<0.05; χ2=84.845, P<0.05).The proportion of moderate to severe bronchiolitis cases in both 2020 and 2021 was lower than that in 2019, and the difference was statistically significant ( χ2=4.054, P<0.05; χ2=8.109, P<0.05).There was no statistically significant difference in the proportion of bronchiolitis cases requiring ICU treatment between 2019, 2020, and 2021 ( χ2=1.914, P>0.05).In 2019, a total of 52.60%(2 582/4 909) of children with bronchiolitis underwent RSV pathogen testing, and among them, there were 708 cases with RSV positive, accounting for 28.00%.In 2020, 54.14%(1 437/2 654) of children with bronchiolitis underwent RSV pathogen testing, and there were 403 cases with RSV positive, accounting for 28.04%.In 2021, 66.80%(2 238/3 500) of children with bronchiolitis underwent RSV pathogen testing, and there were 935 cases with RSV positive, accounting for 41.78%.Compared with 2019 and 2020, the RSV positive rate in 2021 showed a significant increase( χ2=99.673, P<0.05; χ2=71.292, P<0.05). Conclusion:During the COVID-19 epidemic, the implementation of epidemic prevention and control measures reduced the hospitalization rate and severity of bronchiolitis, but did not reduce the positive rate of RSV detection.

Objective:To analyze the clinical characteristics of acute ischemic stroke (AIS) patients with negative cerebral CT perfusion (CTP) and influencing factors for their prognoses.Methods:A retrospective analysis was performed; 448 patients with AIS admitted to Department of Neurology, Sixth Affiliated Hospital of Nantong University from January 2020 to June 2021 were enrolled. CTP images of these patients were processed by RAPID software, and they were divided into CTP-negative group and CTP-positive group according to cerebral infarction core and ischemic penumbra volumes. The clinical data were compared between patients from CTP-negative group and CTP-positive group and between patients from CTP-negative and CTP-positive subgroups accepted thrombolytic therapy. According to the prognoses 3 months after discharge, CTP negative patients were divided into poor prognosis group and good prognosis group. Independent influencing factors for poor prognosis in negative CTP patients were analyzed by univariate and multivariate Logistic regressions.Results:(1) In these 448 patients, 154 (34.4%) were with negative CTP and 294 (65.6%) were with positive CTP; compared with the CTP-positive group, the CTP-negative group had significantly younger age, significantly higher percentage of patients with diabetes, significantly lower percentage of patients with atrial fibrillation, statistically higher baseline systolic blood pressure, and significantly lower baseline National Institutes of Health Stroke Scale (NIHSS) scores, early neurological deterioration (END) incidence, modified Rankin scale (mRS) scores 3 months after discharge, and proportion of patients with poor prognosis ( P<0.05); significant differences in distributions of responsible circulations for the lesions and etiological classification (TOAST) were noted between the 2 groups ( P<0.05). Of the 448 patients, 270 received thrombolytic therapy, including 101 CTP-negative patients and 169 CTP-positive patients; compared with the CTP-positive subgroup, the CTP-negative subgroup had significantly younger age, significantly lower percentage of patients with atrial fibrillation, statistically higher baseline systolic blood pressure, and significantly lower baseline NIHSS scores, END incidence, mRS scores 3 months after discharge, and proportion of patients with poor prognosis ( P<0.05). (2) Of the 154 CTP negative patients, 31 had poor prognosis and 123 had good prognosis. Univariate Logistic regression analysis showed that baseline blood glucose, fasting blood glucose, glycosylated hemoglobin (HbA1C), baseline NIHSS scores and fibrinogen were the influencing factors for prognoses of CTP negative patients, with significant differences ( P<0.05). Multivariate Logistic regression analysis found that NIHSS ( OR=0.827, 95% CI: 0.743-0.920, P<0.001) and HbA1 C ( OR=0.763, 95% CI: 0.609-0.956, P=0.019) were independent influencing factors for poor prognosis of CTP-negative patients. Conclusion:AIS patients with negative CTP have milder neurological impairment, better prognosis, and higher safety of receiving intravenous thrombolysis than those with positive CTP; AIS patients with negative CTP enjoying high baseline NIHSS scores and HBA1c have poor prognosis.

OBJECTIVES: Pelvic floor dysfunction (PFD) seriously affects women's physical and mental health. Pregnancy and childbirth are recognized as high-risk factors for PFD, and studies have shown that vaginal microenvironmental disorders can promote the development of pelvic organ prolapse. In this study, we intend to investigate whether the changes in vaginal microecology during pregnancy affect the pelvic floor function and participate in the development of postpartum PFD, and provide a basis for the prevention and treatment of PFD. METHODS: A total of 358 full-term mothers who delivered in Third Xiangya Hospital, Central South University from November 2019 to April 2020 were selected and underwent review 6 to 8 weeks after delivery. The pelvic floor structures were examined using pelvic floor ultrasound, and ultrasound values were measured at rest and at maximum Valsalva maneuver. One hundred and seventy women with PFD were assigned in a PFD group, and 188 women without PFD were assigned in a control group. The clinical data of all mothers were collected, and the clinical data and the results of microecological testing for vaginal secretions after 36 weeks of gestation and before delivery were compared between the 2 groups. The correlation of PFD with leucorrhoea cleanliness, lactobacillus level, bacterial vaginosis (BV), and vulvovaginal candidiasis (VVC) was analyzed, and logistic regression analysis was used to screen for independent risk factors for PFD. RESULTS: The incidences of VVC, BV, Lactobacillus vaginalis deficiency, and leucorrhoea cleanliness ≥III° were all higher in the PFD group than those in the control group (P<0.05). Among them, leukocyte cleanliness ≥III°and lack of Lactobacilli in the vagina were independent risk factors for the development of PFD, while VVC and BV were not independent risk factors for the development of PFD. CONCLUSIONS Postpartum PFD is related to vaginal microecological imbalance in late pregnancy, among which Lactobacillus vaginalis deficiency and leucorrhoea cleanliness ≥III° are independent risk factors for the occurrence of PFD. Therefore, pregnant women with Lactobacillus vaginalis deficiency and leucorrhoea cleanliness ≥III° in late pregnancy should pay attention to the occurrence of postpartum PFD, and early diagnosis and effective intervention of postpartum PFD should be enhanced.
Pregnancy ; Female ; Humans ; Pelvic Floor ; Mothers

Objective:To investigate the influencing factors for lymph node metastasis and prognosis in stage T1 and T2 esophageal squamous cell carcinoma after radical surgery and construct nomogram prediction models.Methods:The retrospective cohort study was conducted. The clinico-pathological data of 672 patients with T1 and T2 esophageal squamous cell carcinoma who were admitted to the Affiliated Hospital of North Sichuan Medical College from January 2014 to December 2019 were collected. There were 464 males and 208 females, aged (65±8)years. All patients under-went radical esophagectomy+2 or 3 field lymph node dissection. Observation indicators: (1) lymph node dissection, metastasis and follow-up. (2) risk factors for lymph node metastasis of esophageal cancer after radical resection. (3) prognostic factors of esophageal cancer after radical resection. (4) construction and evaluation of the prediction models of lymph node metastasis and prognosis of esophageal cancer after radical resection. Follow-up was conducted using outpatient examination, telephone and internet consultations to detect survival of patients up to April 2021. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Kaplan-Meier method was used to calculate survival rate and draw survival curve. Log-Rank test was used for survival analysis. Logistic regression model was used for univariate and multivariate analyses of risk for lymph node metastasis, and COX regression model was used for univariate and multivariate analyses of prognosis. Based on the results of multi-variate analysis, the nomogram prediction models for lymph node metastasis and prognosis predic-tion were constructed. The prediction discrimination of the nomogram models were evaluated using the area under curve (AUC) of the receiver operating characteristic curve (ROC). The calibration curve was used to evaluate the prediction consistency of the models. Results:(1) Lymph node dissection, metastasis and follow-up. The number of lymph node dissected was 14±8 and the number of lymph node metastasis was 2(range, 1?19) in 672 patients. Of the 672 patients, there were 182 cases had lymph node metastasis, including 58 cases in T1 stage and 124 cases in T2 stage. All 672 patients were followed up for 38 (range, 1?85)months. The average overall survival time of 672 patients was 65 months, with the 1-, 3-, 5-year overall survival rate as 89.0%, 74.3%, 66.0%, respectively. The average overall survival time of 325 patients in T1 stage and 347 patients in T2 stage were 70 months and 61 months. The 1-, 3-, 5-year overall survival rate of 325 patients in T1 stage and 347 patients in T2 stage were 95.0%, 83.5%, 73.4% and 87.4%, 69.9%, 59.2%, respectively, showing a significant difference in survival between them ( χ2=14.51, P<0.05). (2) Risk factors for lymph node metastasis of esophageal cancer after radical resection. Results of univariate analysis showed that tumor location, tumor histological grade, tumor T staging were related factors affecting lymph node metastasis of esophageal cancer after radical resection ( odds ratio=1.40, 1.54, 2.56, 95% confidence interval as 1.07?1.85, 1.20?1.99, 1.79-3.67, P<0.05). Results of multivariate analysis showed that tumor location, tumor histological grade, tumor T staging were independent factors affecting lymph node metastasis ( odds ratio=1.42, 1.61, 2.63, 95% confidence interval as 1.07?1.89, 1.25?2.09, 1.82?3.78, P<0.05). (3) Prognostic factors of esophageal cancer after radical resection. Results of univariate analysis showed that preoperative comorbidities, postoperative complications, tumor histological grade (G3), tumor T staging, tumor N staging (N1 stage, N2 stage, N3 stage), tumor TNM staging (Ⅲ stage, Ⅳ stage) were related factors affecting prognosis of esophageal cancer after radical resection ( hazard ratio= 1.48, 1.64, 2.23, 1.85, 2.09, 4.48, 4.97, 3.54, 5.53, 95% confidence interval as 1.08?2.03, 1.20?2.23, 1.47?3.39, 1.34?2.54, 1.44?3.04, 2.89?6.95, 1.57?15.73, 2.48?5.05, 1.73?17.68, P<0.05). Results of multivariate analysis showed that preoperative comorbidities, G3 of tumor histological grade, T2 stage of tumor T staging, N1 stage, N2 stage, N3 stage of tumor N staging were independent risk factors affecting prognosis of esophageal cancer after radical resection ( hazard ratio=1.57, 1.89, 1.63, 1.71, 3.72, 3.90, 95% confidence interval as 1.14?2.16, 1.23?2.91, 1.17?2.26, 1.16?2.51, 2.37?5.83, 1.22?12.45, P<0.05). (4) Construction and evaluation of the prediction models of lymph node metastasis and prognosis of esophageal cancer after radical resection. Based on the results of multivariate analysis, tumor location, tumor histological grade, tumor T staging were applied to construct a nomo-gram model for lymph node metastasis prediction of esophageal cancer after radical resection, the score of tumor location, tumor histological grade, tumor T staging were 82, 100, 100, respectively, and the sum of the scores corresponding to the lymph node metastasis rate. Preoperative comor-bidity, tumor histological grade, tumor T staging, tumor N staging were applied to construct a nomo-gram model for 1-, 3-, 5-year overall survival rate prediction of esophageal cancer after radical resection, the score of preoperative comorbidity, tumor histological grade, tumor T staging, tumor N staging were 23, 38, 27, 100, respectively, and the sum of the scores corres-ponding to the 1-, 3-, 5-year overall survival rate. Results of ROC showed that the AUC of nomogram model for lymph node metastasis prediction after radical esophagectomy was 0.66 (95% confidence interval as 0.62?0.71, P<0.05). The AUC of nomogram model for 1-, 3-, 5-year overall survival rate prediction after radical esophagectomy were 0.73, 0.74, 0.71 (95% confidence intervals as 0.66?0.80, 0.68?0.79, 0.65?0.78, P<0.05). Results of calibration curve showed that the predicted lymph node metastasis rate and the predicted 1-, 3-, 5-year overall survival rate by nomogram models were consistent with the actual lymph node metastasis rate and 1-, 3-, 5-year overall survival rate. Conclusions:Tumor location, tumor histological grade, tumor T staging are independent factors affecting lymph node metastasis in T1 and T2 esophageal squamous cell carcinoma after radical surgery and nomogram model constructed by these indicators can predict the lymph node metas-tasis rate. Preoperative comor-bidities, G3 of tumor histological grade, T2 stage of tumor T staging, N1 stage, N2 stage, N3 stage of tumor N staging are independent risk factors affecting prognosis and nomogram model constructed by these indicators can predict the overall survival rate of patients after surgery.

Objective:To investigate the grey matter alterations of Parkinson′s disease (PD) patients with and without sleep disorders, and to explore the relationship between different sleep-related problems and clinical variables as well as grey matter volume (GMV) in PD.Methods:Forty-six PD patients and 38 healthy controls (HCs) were recruited from January 2018 to December 2021 in the Department of Neurology, Beijing Hospital. PD patients were divided into PD with sleep disorders (PD-S, n=26) and PD without sleep disorders (PD-nS, n=20) subgroups (cutoff points of 82 for Parkinson′s Disease Sleep Scale or less than 5 for each item was considered as an indicator of substantial sleep disorder). The Mini-Mental State Examination (MMSE), the third part of the Unified Parkinson′s Disease Rating Scale (UPDRS-Ⅲ), Hamilton Rating Scale for Anxiety (HAMA), Hamilton Rating Scale for Depression (HAMD), Non-Motor Symptoms Questionnaire (NMSQ), and Parkinson′s Disease Questionnaire-39 (PDQ-39) were used to evaluate cognitive function, motor symptoms, anxious and depressive symptoms, non-motor symptoms, and the quality of life of the patients. Optimized voxel-based morphometry was applied to the magnetic resonance imaging brain images in all participants,and multiple linear regression analysis was used to test the correlation between GMV and sleep quality in patients with PD. Results:Compared with the HCs, PD-nS patients showed decreased GMV in bilateral limbic lobe, parahippocampal gyrus, amygdala, cingulate gyrus, hippocampus, right cerebellum, bilateral frontotemporal lobe, bilateral occipital lobe and the left parietal lobe. PD-S group exhibited reduced GMV in bilateral limbic lobe, parahippocampal gyrus, amygdala, right cerebellum, bilateral frontotemporal lobe and bilateral parietal-occipital lobe, compared to the HCs. Compared with PD-nS, PD-S patients revealed higher depressive (HAMD score: 12.19±5.59 vs 6.95±3.19, t=-4.01, P<0.001), anxious (HAMA score: 12.04±5.32 vs 7.25±4.68, t=-3.18, P=0.003), and non-motor symptoms scores (NMSQ score: 12.92±5.18 vs 9.90±4.10, t=-2.14, P=0.038), poorer quality of life (PDQ-39 score: 35.31±22.01 vs 22.40±9.00, t=-2.71, P=0.010), and reduced GMV in the left insula, frontal, and parietal lobe ( P<0.001, uncorrected, cluster>100). There was a marked relationship between sleep quality and the reduced GMV of the right medial temporal gyrus (β=0.006, 95% CI 0.002-0.010, P=0.003), left middle frontal gyrus (β=0.006, 95% CI 0.002-0.010, P=0.002), the right cerebellum (β=0.014, 95% CI 0.005-0.023, P=0.003), and the right medial occipital gyrus (β=0.017, 95% CI 0.011-0.024, P<0.001). Significant grey matter changes were associated with nocturnal restlessness, mainly within the left limbic lobe, bilateral occipital lobe, the right cerebellum, and parietal lobe (β=0.008, 95% CI 0.006-0.010, P<0.001). Furthermore, nocturia in PD was related to certain grey matter atrophy, including bilateral limbic lobe, the right inferior parietal gyrus, and bilateral frontal lobe (β=0.010, 95% CI 0.008-0.013, P<0.001). The symptom of daytime dozing was correlated with GMV reduction in the right occipital lobe, the left temporal lobe (β=0.014, 95% CI 0.010-0.019, P<0.001). There were also several compensatory brain regions, including bilateral frontal lobe, the left limbic lobe and cingulate ( P<0.001, uncorrected, cluster>60). Conclusions:Sleep disturbance is common in PD, which is related to the anxious and depressive symptoms, non-motor symptoms, and the quality of life. PD patients with different sleep disorders show grey matter alterations in severeal brain regions, which are associated with sleep quality, nocturnal restlessness, psychosis, and daytime dozing.