Objective: To explore the association between the joint association of screen time on weekdays and weekends with self rated sleep quality among adolescents, providing scientific basis for improving adolescent sleep health. Methods: Using data from "Huantai Children s Cardiovascular Health Follow up Cohort" survey conducted during November to December 2023, a total of 1 197 adolescents aged 12-17 years with complete demographic characteristics, physical measurements, and questionnaire data were included. The dose response relationship between screen time and sleep quality was evaluated by restrictive cubic splines (RCS). Based on screen time on weekdays and weekends (normal: < 2 h/d; excessive: ≥ 2 h/d), adolescents were categorized into 4 groups. Multivariate Logistic regression models were used to analyze the association between the combined effect of screen time on weekdays and weekends and sleep quality. Results: The RCS analysis results showed that there was a linear dose response relationship between average daily screen time and poor sleep quality in adolescents (non linear P >0.05). The results of multiple Logistic regression analysis showed that adjusting for potential covariates,compared with adolescents having normal screen time on both weekdays and weekends, those with excessive screen time on both weekdays and weekends had increased risk of poor sleep quality ( OR=2.51, 95%CI=1.33-4.62, P <0.01). Sex stratified analysis revealed that girls with excessive screen time on both weekdays and weekends had increased odds of poor sleep quality ( OR=3.03, 95%CI=1.23-7.14, P =0.01), compared to girls who had normal screen time on both weekdays and weekends. Conclusions A linear dose response relationship exists between daily screen time and poor sleep quality in adolescents. Excessive screen time on both weekdays and weekends is positively associated with poor sleep quality, particularly more pronounced among female adolescents.

Objective:To understand the species of mosquitoes and the status of important mosquito-borne viruses in the Ningxia surveyed regions, to identify the dominant mosquito species and virus types, and to analyze their genetic characteristics, providing a scientific basis for predicting and controlling mosquito-borne infectious diseases.Methods:Mosquitoes were collected using light traps in Yinchuan and Wuzhong cities of the Ningxia Hui Autonomous Region, and the collected mosquitoes were classified and identified. Real-time polymerase chain reaction (PCR) was used to detect the Japanese encephalitis virus (JEV), West Nile virus (WNV), Chikungunya virus (CHIKV), Sindbis virus (SINV) carried by mosquitoes. The positive sample was subjected to sequencing the whole genome, and the phylogenetic tree of virus strains was constructed using bioinformatics methods.Results:From June to August 2023, a total of 8 561 mosquitoes of 3 genera and 6 species were collected in Yinchuan and Wuzhong cities, Ningxia, among which Culex pipiens pallens was the dominant species with 3 050 individuals, accounting for 35.63%; Anopheles sinensis with 2 379 individuals, accounting for 27.79%; Culex tritaeniorhynchus with 1 489 individuals, accounting for 17.39%; Caspian Aedes with 1 468 individuals, accounting for 27.79%; Aedes vexans with 152 individuals, accounting for 1.78%; and Culex modestus with 23 individuals, accounting for 0.27%. JEV GIb type was detected in the specimens of Culex tritaeniorhynchus collected in Qingtongxia city. Conclusions:The dominant mosquito species in the surveyed areas of Ningxia are primarily Culex pipiens pallens, and JEV GIb virus was detected in Culex tritaeniorhynchus in Qingtongxia city. This study provides basic data for understanding the current status of mosquitoes and mosquito-borne viruses in the Ningxia region and offers scientific guidance for further public health prevention and control measures.

Gastric cancer with peritoneal metastasis (GCPM) is a common and lethal manifestation of advanced gastric cancer, with a median survival of only 5-11 months. This consensus was developed by 30 experts from Asia (China, Japan, Korea, and Singapore) using the Delphi method and the GRADE evidence grading system. A total of 29 statements were formulated, covering the diagnosis and assessment of GCPM, indications for laparoscopic exploration and NIPS (normothermic intraperitoneal and systemic treatment), treatment regimens, prevention and management of complications, criteria for conversion surgery, and postoperative intraperitoneal therapy. The consensus aims to standardize clinical practice and improve the prognosis of patients with GCPM.

Parkinson's disease(PD),the second most prevalent neurodegenerative disease,has shown an increasing incidence in recent years,significantly impacting the quality of life of elderly individuals and their families.The onset of cognitive impairment and Parkinson's disease dementia(PDD)are critical milestones in the progression of PD.Imaging examinations,serving as essential detection and evaluation tools for neurodegenerative diseases,have been increasingly applied to PD-related research.Different imaging techniques demonstrate distinct advantages and features in screening cognitive dysfunction in PD.Choosing a reliable imaging method not only maximizes the advantages of the examination,enhancing the sensitivity and specificity in identifying PD patients at risk of cognitive impairment,but also reduces the frequency of examinations and the radiation dose received by patients.This review summarizes the existing findings on imaging markers of cognitive impairment in PD from three aspects,structural imaging,functional imaging,and multimodal techniques.Furthermore,it explores future research directions,aiming to provide powerful imaging support for the clinical diagnosis and treatment of PD.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Parkinson's disease(PD),the second most prevalent neurodegenerative disease,has shown an increasing incidence in recent years,significantly impacting the quality of life of elderly individuals and their families.The onset of cognitive impairment and Parkinson's disease dementia(PDD)are critical milestones in the progression of PD.Imaging examinations,serving as essential detection and evaluation tools for neurodegenerative diseases,have been increasingly applied to PD-related research.Different imaging techniques demonstrate distinct advantages and features in screening cognitive dysfunction in PD.Choosing a reliable imaging method not only maximizes the advantages of the examination,enhancing the sensitivity and specificity in identifying PD patients at risk of cognitive impairment,but also reduces the frequency of examinations and the radiation dose received by patients.This review summarizes the existing findings on imaging markers of cognitive impairment in PD from three aspects,structural imaging,functional imaging,and multimodal techniques.Furthermore,it explores future research directions,aiming to provide powerful imaging support for the clinical diagnosis and treatment of PD.

Objective:To understand the species of mosquitoes and the status of important mosquito-borne viruses in the Ningxia surveyed regions, to identify the dominant mosquito species and virus types, and to analyze their genetic characteristics, providing a scientific basis for predicting and controlling mosquito-borne infectious diseases.Methods:Mosquitoes were collected using light traps in Yinchuan and Wuzhong cities of the Ningxia Hui Autonomous Region, and the collected mosquitoes were classified and identified. Real-time polymerase chain reaction (PCR) was used to detect the Japanese encephalitis virus (JEV), West Nile virus (WNV), Chikungunya virus (CHIKV), Sindbis virus (SINV) carried by mosquitoes. The positive sample was subjected to sequencing the whole genome, and the phylogenetic tree of virus strains was constructed using bioinformatics methods.Results:From June to August 2023, a total of 8 561 mosquitoes of 3 genera and 6 species were collected in Yinchuan and Wuzhong cities, Ningxia, among which Culex pipiens pallens was the dominant species with 3 050 individuals, accounting for 35.63%; Anopheles sinensis with 2 379 individuals, accounting for 27.79%; Culex tritaeniorhynchus with 1 489 individuals, accounting for 17.39%; Caspian Aedes with 1 468 individuals, accounting for 27.79%; Aedes vexans with 152 individuals, accounting for 1.78%; and Culex modestus with 23 individuals, accounting for 0.27%. JEV GIb type was detected in the specimens of Culex tritaeniorhynchus collected in Qingtongxia city. Conclusions:The dominant mosquito species in the surveyed areas of Ningxia are primarily Culex pipiens pallens, and JEV GIb virus was detected in Culex tritaeniorhynchus in Qingtongxia city. This study provides basic data for understanding the current status of mosquitoes and mosquito-borne viruses in the Ningxia region and offers scientific guidance for further public health prevention and control measures.

Objective:To evaluate the effectiveness and safety of fistula-tract lase closure (FiLaC TM) surgery combined with the infliximab (IFX) for treating complex perianal fistulizing Crohn's disease (pfCD) . Methods:A retrospective was conducted. Patients with pfCD undergoing FiLaC TM at Renji Hospital, Shanghai Jiaotong University School of Medicine between February 2019 and August 2020 were retrospectively enrolled. The preoperative protocol included seton drainage and pharmacological induction, utilizing IFX alone or in combination with immunosuppressants. After achieving remission in CD, patients underwent definitive surgery with FiLaC TM. Clinical outcomes and adverse events such as bleeding, pain, and fecal incontinence following FiLaC TM were recorded. The Wexner fecal incontinence score and Crohn's anal fistula quality of life scale (CAF-QoL) were assessed both preoperatively and 24 months postoperatively. Results:The study included 30 patients (23 males, 7 females) with a median age of 23.6 (18.0, 30.5) years. At 24 months postoperatively, 21 patients (70.0%) achieved clinical cure; 2 patients (6.7%) showed improvement; 2 patients (6.7%) did not heal, with one eventually healing after a repeat FiLaC TM procedure and the other requiring re-seton placement; 5 patients (16.7%) relapsed and required re-seton. The Wexner fecal incontinence score at 24 months postoperatively was lower compared to preoperative scores [2.0 (1.8, 3.0) vs. 2.0 (2.0, 3.0), P = 0.001]. The postoperative CAF-QoL scores were higher as compared to the preoperative score[39.5 (33.8, 62.3) vs. 37.5 (30.0, 56.3), P = 0.03]. There were no complications such as fecal incontinence, urinary incontinence, or bleeding postoperatively. Twenty-seven patients (90%) experienced mild pain, and 1 (3.3%) reported moderate pain, all resolving without intervention. Conclusion:Combined treatment with FiLaC TM and IFX is both effective and safe for managing complex pfCD.

Psoriasis has complex causes, is difficult to treat, prone to recurrent attacks, and persists for a long time, greatly affecting their health and quality of life. This article reviews the current status, influencing factors and assessment tools of self-management in psoriasis patients, aiming to improve the understanding and knowledge of self-management among medical and nursing staff, and provide meaningful references for the selection of self-management assessment tools and intervention research for psoriasis patients.