OBJECTIVE: To observe the efficacy and safety of Tiaowei Jiannao acupuncture (acupuncture for regulating defensive qi and nourishing brain) for post-ischemic stroke insomnia (PISI). METHODS: A total of 96 patients with PISI were randomized into an acupuncture group (32 cases, 1 case was excluded), a medication group (32 cases, 1 case dropped out, 1 case was excluded) and a sham-acupuncture group (32 cases, 1 case dropped out, 1 case was excluded). In the acupuncture group, Tiaowei Jiannao acupuncture was applied at bilateral Shenmai (BL62), Zhaohai (KI6), Hegu (LI4), Taichong (LR3), and Baihui (GV20), Sishencong (EX-HN1), Yintang (GV24⁺), Shenting (GV24), once a day, 1-day interval was taken after 6-day treatment, for 3 weeks totally. In the medication group, eszopiclone tablet was given orally, 1-3 mg a time, once a day for 3 weeks. In the sham-acupuncture group, non-invasive sham acupuncture was applied, the acupoint selection, frequency and course of treatment were the same as the acupuncture group. Before treatment, after 2,3 weeks of treatment, the scores of Pittsburgh sleep quality index (PSQI), self-rating sleep scale (SRSS), National Institutes of Health Stroke scale (NIHSS), Hamilton depression scale-17 (HAMD-17) were observed; before and after treatment, the sleep parameters were recorded using polysomnography (PSG); and the efficacy and safety were evaluated after treatment in the 3 groups. RESULTS: After 2,3 weeks of treatment, the scores of PSQI, HAMD-17 and SRSS in the acupuncture group and the medication group, as well as the SRSS scores in the sham-acupuncture group were decreased compared with those before treatment (P<0.05); after 2 weeks of treatment, the NIHSS score in the acupuncture group was decreased compared with that before treatment (P<0.05); after 3 weeks of treatment, the NIHSS scores in the acupuncture group, the medication group and the sham-acupuncture group were decreased compared with those before treatment (P<0.05). After 3 weeks of treatment, the scores of PSQI, SRSS, HAMD-17 and NIHSS in the acupuncture group and the medication group, as well as the NIHSS score in the sham-acupuncture group were decreased compared with those after 2 weeks of treatment (P<0.05). After 2,3 weeks of treatment, the scores of PSQI, SRSS and HAMD-17 in the acupuncture group and the medication group were lower than those in the sham-acupuncture group (P<0.05), the NIHSS scores in the acupuncture group were lower than those in the medication group and the sham-acupuncture group (P<0.05); after 3 weeks of treatment, HAMD-17 score in the acupuncture group was lower than that in the medication group (P<0.05), the NIHSS score in the medication group was lower than that in the sham-acupuncture group (P<0.05). Compared before treatment, after treatment, the total sleep time was prolonged (P<0.05), the wake after sleep onset, sleep latency, and non-rapid eye movement (NREM) sleep latency were shortened (P<0.05), the sleep efficiency was improved (P<0.05), the number of awakenings was reduced (P<0.05), the percentage of rapid eye movement (REM%) and the percentage of NREM stage 1 (N1%) were decreased (P<0.05), the percentage of NREM stage 2 (N2%) and the percentage of NREM stage 3 (N3%) were increased (P<0.05) in the acupuncture group and the medication group; the sleep latency was shortened in the sham-acupuncture group (P<0.05). After treatment, the PSG indexes in the acupuncture group and the medication group were superior to those in the sham-acupuncture group (P<0.05); in the acupuncture group, the number of awakenings was less than that in the medication group (P<0.05), the REM% and N1% were lower than those in the medication group (P<0.05), the N2% and N3% were higher than those in the medication group (P<0.05). The total effective rate were 93.5% (29/31) and 90.0% (27/30) in the acupuncture group and the medication group respectively, which were higher than 10.0% (3/30) in the sham-acupuncture group (P<0.05). There was no serious adverse events in any of the 3 groups. CONCLUSION Tiaowei Jiannao acupuncture improves the insomnia symptoms in patients with ischemic stroke, improves the quality of sleep, increases the deep sleep, promotes the recovery of neurological function, and relieves the depression. It is effective and safe for the treatment of PISI.
Humans ; Acupuncture Therapy ; Male ; Sleep Initiation and Maintenance Disorders/physiopathology* ; Female ; Middle Aged ; Aged ; Acupuncture Points ; Treatment Outcome ; Adult ; Ischemic Stroke/complications* ; Stroke/complications* ; Sleep

Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.

Objective To predict the potential distribution area of Halenia elliptica under current and future climate conditions;To provide a foundation for the sustainable utilization and cultivation of H.elliptica resources.Methods Based on 116 occurrence records and 36 environmental variables,this study employed correlation analysis and contribution rates to identify 10 key environmental factors of H.elliptica.The MaxEnt model,combined with Geographic Information Systems(GIS),was used to predict the potential suitable areas for H.elliptica under current and different future climate scenarios,and centroid shift analysis was performed using SDM_toolbox.Results The MaxEnt model predicted accurately,with an area under the receiver operating characteristic(ROC)curve of 0.968.Altitude,annual precipitation and mean temperature of the coldest season were identified as the primary influencing factors.The current suitable area for H.elliptica was approximately 176.04×104 km2.In the future climate conditions,the suitable habitat of H.elliptica will be moderately adjusted,especially in Sichuan and Xizang.Conclusion In the future,the suitable potential distribution areas for H.elliptica in China will increase,and there will be slight differences in the increment of different suitable potential distribution areas.This study can provide a basis for resource conservation and sustainable utilization,and highlight the importance of dynamic ecological monitoring in the context of global warming.

Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.

Objective We aimed to evaluate the efficacy and safety of Shengxuebao Mixture in the treatment of cancer-related anemia(CRA)presenting with syndrome of deficiency of liver and kidney combined with syndrome of deficiency of both qi and blood.Methods A randomized,double-blind,placebo-controlled,multicenter clinical trial was conducted.Eligible patients with malignant tumors meeting the inclusion and exclusion criteria were enrolled from 26 hospitals,including Dongzhimen Hospital,Beijing University of Chinese Medicine,Xiaogan Central Hospital,and Yangzhou Hospital of Traditional Chinese Medicine,from June 1,2022,to September 30,2024.Patients were allocated 1:1 to either the experimental group receiving Shengxuebao Mixture or the control group receiving its simulator(placebo)using a block randomization method under double-blind conditions.Both groups received 15 mL orally three times daily for 28 consecutive days.The primary efficacy indicators included the hemoglobin(Hb)improvement rate(RHb)and the traditional Chinese medicine(TCM)syndrome improvement rate(RTCM)at week 4 of treatment.The secondary efficacy indicators encompassed Hb and red blood cell(RBC)count,Karnofsky Performance Status(KPS)score,TCM syndrome score,individual TCM symptom scores,and changes in each of these indicators compared to the baseline period at weeks 2,4,and 6 of treatment.Safety evaluations were conducted at week 4 of treatment.Results A total of 239 patients were enrolled,with 225 cases included in the Full Analysis Set(FAS)(109 in the experimental group vs.116 control group),163 in the Per Protocol Set(PPS)(77 vs.86),and 225 in the Safety Set(SS)(109 vs.116).Baseline characteristics between groups showed no significant differences.Significant differences were observed between the experimental and control groups in RHb at week 4(FAS:49.51%vs.35.24%,P<0.05;PPS:53.25%vs.36.05%,P<0.05)and RTCM at week 4(FAS:61.54%vs.39.62%,P<0.01;PPS:64.94%vs.40.70%,P<0.01).At weeks 2,4,and 6,the experimental group showed greater improvements in Hb and RBC counts than the control group.Additionally,the TCM syndrome scores were lower in the experimental group than in the control group at these time points.Except for week 2 in PPS,the KPS improvement was better in the experimental group than in the control group(P<0.05).The experimental group also demonstrated a greater reduction in scores for individual TCM symptoms such as spiritlessness and weakness,poor appetite and reduced food intake at weeks 4 and 6 compared to the control group(P<0.05,P<0.01).Furthermore,the reduction in vertigo score was more pronounced in the experimental group at week 6(P<0.01).For the score of pale and lusterless complexion,only in the PPS was the reduction from baseline more significant in the experimental group than in the control group at weeks 4 and 6(P<0.05).No significant differences were observed between the experimental and control groups in the incidence of all adverse events or drug-related adverse reactions.Conclusion Shengxuebao Mixture demonstrates significant efficacy in patients with CRA presenting syndrome of deficiency of liver and kidney combined with syndrome of deficiency of both qi and blood,effectively increasing Hb levels,ameliorating TCM syndromes,alleviating clinical symptoms,and enhancing functional status,with no significant difference in adverse drug reactions compared to the placebo.

Objective To investigate the efficacy and safety of self-help inflatable balloon in the treatment of refractory benign upper digestive tract stricture.Methods From November 2022 to February 2024,10 patients with refractory benign upper digestive tract stricture underwent self-help inflatable balloon were retrospectively analyzed.Preoperative treatment,intraoperative and postoperative complications,dysphagia score before and after surgery,wearing time of external self-help inflatable balloon,and the clinical efficacy were evaluated.Results All the 10 patients received self-help inflatable balloon treatment.No complications such as bleeding and perforation occurred in all patients during the wearing of the balloon.The placement time of the balloon was 60～180 d,and the average wearing time was 104.9 d.Before surgery,nine cases had a stricture segment length less than 2 cm,and one case had a stricture segment length of 6 cm.The dysphagia score before surgery was(3.60±0.52),and the dysphagia score after removal of the self-help inflatable balloon was(0.60±0.52),and there was statistical significance in preoperative and postoperative comparison(P＜0.05).The dysphagia score 3 months after removal of the external self-help inflatable balloon was(0.70±0.48),there was no significant difference in dysphagia score between the day after surgery and 3 months after surgery(P＞0.05).The diameter of the stricture before and after operation was(5.09±2.02)mm and(10.35±0.73)mm respectively,and the difference was statistically significant(P＜0.05).Sore throat,wing of nose pain and balloon displacement were the most common adverse events,with 30.0％(3/10),50.0％(5/10)and 70.0％(7/10),respectively.Conclusion It is safe,effective and feasible to treat refractory benign upper digestive tract stricture with self-help inflatable balloon in vitro.It is worthy for clinical application.

Objective To predict the potential distribution area of Halenia elliptica under current and future climate conditions;To provide a foundation for the sustainable utilization and cultivation of H.elliptica resources.Methods Based on 116 occurrence records and 36 environmental variables,this study employed correlation analysis and contribution rates to identify 10 key environmental factors of H.elliptica.The MaxEnt model,combined with Geographic Information Systems(GIS),was used to predict the potential suitable areas for H.elliptica under current and different future climate scenarios,and centroid shift analysis was performed using SDM_toolbox.Results The MaxEnt model predicted accurately,with an area under the receiver operating characteristic(ROC)curve of 0.968.Altitude,annual precipitation and mean temperature of the coldest season were identified as the primary influencing factors.The current suitable area for H.elliptica was approximately 176.04×104 km2.In the future climate conditions,the suitable habitat of H.elliptica will be moderately adjusted,especially in Sichuan and Xizang.Conclusion In the future,the suitable potential distribution areas for H.elliptica in China will increase,and there will be slight differences in the increment of different suitable potential distribution areas.This study can provide a basis for resource conservation and sustainable utilization,and highlight the importance of dynamic ecological monitoring in the context of global warming.

Objective To explore the differences in the topological attributes of the baseline state functional network module between responders and non-responders to pharmacological treatment in schizophrenia patients.Methods Patients with first-episode untreated schizophrenia were included.The therapeutic effect was evaluated 4 weeks after receiving standardized clinical treatment based on the percentage change of the positive and negative syndrome scale(PANSS)score before and after treatment.The patients were divided into the response group(n=45)and the non-response group(n=32).The modular topological properties of the brain functional network were calculated using resting-state functional magnetic resonance imaging(rs-fMRI)technology.The differences in functional connectivity between the treatment response group and the non-response group were then compared.The correlation between the functional connection of the patient's network module and the PANSS score was analyzed.Results Compared to the non-responder group,the responder group exhibited increased modularity and a higher average node participation coefficient.Moreover,the default network module exhibited a decreased separation index,whereas an increase was observed in the sensorimotor module separation index.Additionally,intra-modular connectivity was reduced within the visual network,sensorimotor module and subcortical nuclei module.The connections among the gray matter nucleus-visual module,gray matter nucleus-marginal module,gray matter nucleus-default network,gray matter nucleus-sensorimotor module and sensorimotor default network modules were decreased(FDR correction,P<0.05).The interconnections between gray matter nuclei-default network(r=0.42,P<0.01)and sensorimotor-default network modules(r=0.31,P=0.04)in the response group were positively correlated with the positive symptom scores,respectively.Receiver operating characteristic(ROC)curve analysis showed that the modular connection of functional networks had good classification prediction efficacy(AUC=0.858,95%CI:0.759-0.927).Conclusion The modular connections among the gray matter nucleus network,default network and sensorimotor network may provide neuroimaging evidence for the prediction of the efficacy of drug treatment for schizophrenia.

To verify whether the two B-cell epitopes Pep1 and Pep4 in the FAdV-4 WZ fiber can be used as candidate epitopes for multivalent epitope vaccines,epitopes Pep1 and Pep4 were tandemly linked with the chicken infectious bronchitis virus strain M41 S1 protein gene in different patterns,and a recombinant fusion plasmid was constructed and expressed in E.coli BL21(DE3).It was confirmed by Western blot and ELISA tests that all four expressed fusion proteins reacted specific-ally with anti-M41 whole virus serum and WZ strain anti-Fiber 2-knob protein serum.After purifi-cation and immunization of BALB/c mice,specific antibodies against the peptide epitopes were de-tected in mouse sera.The results showed that the Pep4 epitope induced a stronger immune re-sponse than the Pep1 epitope.When Pep1 was connected with the amino and carboxyl termini of the fusion protein,respectively,both resulted in the production of the same level of anti-Pep1 anti-bodies in the immunized animals,whereas when Pep4 was connected with the carboxyl terminus of the fusion protein,the immunized animals produced a higher level of anti-Pep4-specific antibodies.This research indicates that the B cell epitopes Pep1 and Pep4 of the reactive WZ strain Fiber 2,when conjugated with proteins to form fusion proteins,can enhance the immunogenicity of Pep1 and Pep4 without affecting the antigenicity of the carrier protein.This study provides technical support and serves as a reference for the design and development of a multivalent epitope vaccine for FAdV-4.

To understand the current epidemiological status and biological characteristics of avian paramyxoviruses(APMV)in wild birds in China,a total of 1 384 fecal samples of wild birds were collected in eight provinces(autonomous regions),including Ningxia,in 2023,to detect avian pa-ramyxovirus infections by viral isolation and RT-PCR.Positive samples were subjected to F gene sequence amplification and genetic evolutionary analyses.The results showed that 10 strains of APMV were isolated and identified from 1 384 wild bird feces samples with a positive rate of 0.72％.Out of the 10 strains,4 strains were APMV-1,which was in the same branch to the Ameri-can goose APMV-1 strain and had the homology ranging from 93％to 97.3％.Three strains of APMV-4 were in the same branch with the Russian duck APMV-4 strain and the Russian pintail APMV-4 strain,with homology ranging from 99.1％to 99.5％.Three strains were APMV-6,they were in the same branch with the Russian ruddy bladdered duck APMV-6 strain,with homology ranging from 98.7％to 99.20％.The intracerebral inoculatable pathogenicity index(ICPI)of the four strains for 1-day-old chicks ranged from 0 to 0.48,which was low in pathogenicity for chick-ens.The above results enriches the epidemiological information and the biological characteristics of avian paramyxovirus in wild birds in China,which provides a reference for the early warning,scien-tific prevention and control of this disease.