Objective To explore the effects of EEG biofeedback on the sleep quality and autonomic nervous function in the patients with depression sleep disorder.Methods A total of 98 inpatients with depres-sive sleep disorder treated in this hospital from January 2020 to August 2021were selected as the study sub-jects and divided into the study group and control group according to the random number table method,49 ca-ses in each group.The control group adopted the escitalopram treatment,and the study group was combined with EEG biofeedback on this basis.The Hamilton Depression Scale(HAMD)score,Pittsburgh Sleep Quality Index(PSQI)score,subjective insomnia symptom score,heart rate variability(HRV)index,serum neuropep-tide Y(NPY)and 5-hydroxytryptamine(5-HT)levels and the incidence rate of adverse reactions before treat-ment and in 3 months of treatment were compared between the two groups.Results The total effective rate of the study group was significantly higher than that of the control group(95.92％vs.81.63％),and the difference was statistically significant(P＜0.05).After 3 months of treatment,the HAMD,PSQI,subjective insomnia symptom score and PNN50 in both groups were decreased compared with those before treatment,moreover the study group was lower than the control;the levels of SDNN,SDANN,LF,HF and serum NPY and 5-HT were increased compared with those before treatment,moreover the study group was higher than the control group,and the differences were statistically significant(P＜0.05).There was no statistically sig-nificant difference in the incidence rate of adverse reactions between the two groups(14.29％vs.10.20％,P＞0.05).Conclusion EEG biofeedback combined with escitalopram could significantly improve the depres-sive symptoms and sleep quality in the patients with depression,regulate the autonomic nervous function and increase serum NPY and 5-HT levels.

Objective To identify high-risk factors for healthcare-associated infection(HAI)in patients in inten-sive care units(ICUs),and develop a quick response(QR)code-based APP prediction tool.Methods Information of inpatients in general ICUs of three hospitals in Guizhou Province from January to December 2024 were collected.Risk factors were analyzed with a logistic regression model.QR code-based APP was constructed and validated.Results A total of 1 782 patients in general ICUs of three hospitals in Guizhou Province in 2024 were included in the analysis,out of which 410 were HAI cases,and the incidence of HAI was 23.01％.Multivariate logistic regre-ssion analysis results of HAI in ICU inpatients showed that regional gross domestic product(GDP)≥58 685 Yuan,performing pathogen culture during this hospitalization,history of diabetes mellitus,history of cancer,length of hospital stay ≥7 days before infection,and duration of persistent fever＞5 days before infection were independent risk factors for HAI in ICU patients(all P＜0.05).The discrimination of the model(area under the receiver operating characteristic curve[AUC]of 0.841),calibration(Brier score of 0.129),and clinical effectiveness(net benefit of 11.4％when the risk threshold was 5％-74％)all performed well.Conclusion The QR code-based APP prediction tool is of great significance for scientific research transformation and precise HAI control.

Objective:To investigate tetanus antibody levels and distribution characteristics in a healthy population of Henan Province.Methods:A cross-sectional survey was conducted in Henan Province from 2022 to 2023 to investigate the permanent population. Enzyme-linked immunosorbent assay (ELISA) was used to detect anti-tetanus toxoid IgG antibody (anti-TT), and the positive rate (≥0.01 IU/ml), protection rate (≥0.1 IU/ml) and concentration differences of tetanus antibodies in different populations were analyzed.Results:The age M ( Q1, Q3) of 5 494 participants was 14 (4, 40) years old, with a minimum age of 8 months and a maximum age of 81 years old. The male-to-female ratio was 1.00∶1.18. The total positive rate, protective rate and mean concentration (MC) [ M ( Q1, Q3)] of Anti-TT were 76.48%, 41.72% and 0.067 (0.010, 0.154) IU/ml, respectively. The positive rates of Anti-TT in individuals aged <3, 3-5, 6-9, and 10-14 were 95.32%, 96.05%, 97.81%, and 93.17%, respectively, but gradually decreased with age ( χ2trend=1 283.02, P<0.001). The antibody protection rate [82.13% (579/705)] and MC [ M ( Q1, Q3) of 0.160 (0.122, 0.259) IU/ml] in the population under 3 years old were relatively high, and both showed a decreasing trend with age (protection rate: χ2trend=1 889.49, P<0.001; MC: t=-54.22, P<0.001). There were significant differences in antibody levels among populations of different ages, regions, occupations, and immunization histories (all P<0.001). Within 13 years after the last dose of TTCV vaccination, the positive rate of Anti-TT was all greater than 90%, but the protection rate and MC continued to decrease with the prolongation of vaccination time (protection rate: χ2trend=160.58, P<0.001; MC: t=-14.93, P<0.001). After the last dose of vaccination, the protection rate and MC [ M ( Q1, Q3)] decreased to 30.43% and 0.055 (0.036, 0.115) IU/ml, respectively, for 10-13 years. The protection rates of Anti-TT for farmers, workers, people aged 60 and above, and women of childbearing age (20-45 years old) were 7.77%, 22.96%, 8.39%, and 12.72%, respectively. Conclusion:The level of tetanus antibodies in infants and young children in Henan Province is relatively high from 2022 to 2023, but it decreases with age and prolonged post-immunization time. There are significant differences in antibody levels among individuals of different ages, regions, occupations, and immunization histories. Occupational high-risk groups such as farmers and workers, elderly people, and women of childbearing age lack sufficient immunization protection.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

OBJECTIVES: Chromosomal abnormalities are the most common cause of spontaneous abortion (SA). This study aims to analyze the association between SA and chromosomal abnormalities in products of conception, and to compare the impact of different pregnancy modes and different numbers of previous abortions on chromosomal abnormalities, providing clinical consulting references. METHODS: A total of 1 345 SA patients treated at the Affiliated Women's Hospital of Jiangnan University (Wuxi Maternity and Child Health Care Hospital) between January 2019 and December 2023 were enrolled. According to the mode of conception, patients were divided into 2 groups: a spontaneous pregnancy group (S group, n=1242) and an assisted reproductive technology (ART)-conceived group (ART group, n=103). Based on the number of miscarriages, the S group was further subdivided into a spontaneous sporadic abortion group (S-1 group, n=780) and a spontaneous recurrent abortion group (S-2 group, n=462); the ART group was subdivided into an ART sporadic abortion group (ART-1 group, n=68) and an ART recurrent abortion group (ART-2 group, n=35). Chromosomal microarray analysis (CMA) was performed on products of conception. RESULTS: The incidence of numerical chromosomal abnormalities was 56.79% (443/780) in the S-1 group and 52.38% (242/462) in the S-2 group, while the incidence of structural abnormalities was 4.36% (34/780) and 7.36% (34/462), respectively. There was a statistically significant difference in structural abnormalities between the 2 groups (P<0.05). Among the spontaneous pregnancy SA cases, the incidence of numerical abnormalities decreased with increasing numbers of miscarriages, and was significantly lower in the group with ≥4 miscarriages compared to those with 1 or 2 miscarriages (both P<0.05). The incidence of structural abnormalities in groups with 1, 2, 3, and ≥4 miscarriages was 3.46%, 5.65%, 5.88%, and 4.35%, respectively, with no statistically significant differences among groups (all P>0.05). The incidence of pathogenic copy number variants (pCNVs) plus likely pathogenic copy number variants (LP-CNVs) gradually increases in the group with 1-3 miscarriages, and there was a statistically significant difference between the group with 1 miscarriage and the group with 2 miscarriages (P<0.05). In the ART group, the incidence of numerical abnormalities was 47.06% (32/68) in ART-1 and 37.14% (13/35) in ART-2, while structural abnormalities occurred in 2.94% (2/68) and 11.43% (4/35), respectively, with no significant differences between the groups (both P>0.05). There were no statistically significant differences in the incidence of numerical or structural abnormalities between the S-1 and ART-1 groups, or between the S-2 and ART-2 groups (all P>0.05). CONCLUSIONS Chromosomal numerical and structural abnormalities are common in SA patients from both spontaneous and ART-conceived pregnancies. Attention should be paid to patients with recurrent miscarriage in genetic investigation.
Humans ; Female ; Pregnancy ; Chromosome Aberrations/statistics & numerical data* ; Abortion, Spontaneous/epidemiology* ; Adult ; Reproductive Techniques, Assisted/adverse effects* ; Abortion, Habitual/genetics* ; Fertilization

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.