Objective: To explore the dynamic developmental trajectories of college students class belongingness during their college years and its longitudinal predictive effects on depressive symptoms, so as to provide targeted insights for precise campus psychological interventions. Methods: In October 2021 (T1), a total of 4 720 college students from a university in Shandong Province were selected by cluster sampling method and followed up for 3 years. Surveys were conducted annually (T2: October 2022, T3: October 2023, T4: October 2024). The Class Belongingness Scale and Patient Health Questionnaire-9 (PHQ-9) were used to assess students class belongingness and depressive symptoms. Latent growth mixture modeling was employed to identify trajectories of class belonging, and multinomial Logistic regression analysis was used to examine the predictive effects of these trajectory classes on depressive symptoms. Results: Mean scores of class belongingness across T1-T4 were (73.24±11.95, 74.76±12.25, 75.25±12.38, 77.64±11.63), and the scores of depressive symptoms were [1.00 (0, 5.00), 0 (0, 3.00), 0 (0, 2.00), 0 (0, 2.00)]. The developmental trajectories of class belongingness were categorized into three types: the high-starting ascending group ( 56.61 %), the low-starting descending group (11.91%), and the medium-starting stable group (31.48%). Multinomial Logistic regression analysis showed that, compared to the medium-starting stable group, the high-starting ascending group had a lower probability of developing mild depressive symptoms ( OR=0.27, 95%CI =0.15-0.47) and moderate or above depressive symptoms ( OR=0.29, 95% CI = 0.14-0.60) (both P <0.05). Conversely, the low-starting descending group had a higher probability of developing mild depressive symptoms ( OR=2.31, 95%CI =1.65-3.22) and moderate or above depressive symptoms ( OR=7.49, 95%CI = 3.82-14.69) (both P <0.05). Conclusion Declining trajectory of class belongingness is a risk factor for depressive symptoms, while sustained upward trend may mitigate such risks.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

OBJECTIVE: To evaluate the effectiveness of free medial femoral condyle (MFC) functional chimeric perforator flap (FCPF) transplantation in reconstructing joint function by repairing concomitant osteochondral defects and soft tissue defect in hand and foot joints. METHODS: A retrospective analysis was performed on 6 patients (5 males, 1 female; mean age of 33.4 years, range 21-56 years) with traumatic osteochondral joint defects and associated tendon, nerve, and soft tissue defects treated between January 2019 and November 2024. Defect locations included metacarpal heads (n=2), metacarpophalangeal joint (n=1), first metatarsal head (n=1), base of first proximal phalanx (n=1), and talar head (n=1), with soft tissue defects in all cases. Osteochondral defect sizes ranged from 1.5 cm×1.2 cm×0.7 cm to 4.0 cm×0.6 cm×0.6 cm, and skin defects ranged from 4 cm×3 cm to 13 cm×4 cm. The stage Ⅰ treatment included debridement, antibiotic-loaded bone cement filling of bone-cartilage defects, fracture internal fixation, and coverage with vacuum sealing drainage. Stage Ⅱ involved harvesting a free MFC- FCPF included an osteochondral flap (range of 1.5 cm×1.2 cm×0.7 cm to 4.0 cm×0.6 cm×0.6 cm), gracilis and/or semitendinosus tendon grafts (length of 4-13 cm), saphenous nerve graft (length of 3.5-4.0 cm), and a perforator skin flap (range of 6 cm×4 cm to 14 cm×6 cm), each with independent vascular supply. The flap was transplanted to reconstruct joint function. Donor sites were closed primarily or with skin grafting. Flap survival was monitored postoperatively. Radiographic assessment was used to evaluate bone/joint healing. At last follow-up, the joint function recovery was assessed. RESULTS: All 6 MFC-FCPF survived completely, with primary healing of wounds and donor sites. All patients were followed up 6-44 months (mean, 23.5 months). The flaps at metacarpophalangeal joint in 1 case and at ankle joint in 1 case were treated with degreasing repair because of their bulky appearance, while the other flaps had good appearance and texture. At 3 months after operation, the visual analogue scale (VAS) score for pain during joint movement of recipient site was 0-2, with an average of 0.7; at last follow-up, the VAS score of the donor site was 0-1, with an average of 0.3. According to the Paley fracture healing scoring system, the osteochondral healing of all the 6 patients was excellent. The range of motion of the metacarpophalangeal joint in 3 cases was 75%, 90%, and 100% of contralateral side respectively, the range of motion of the metatarsophalangeal joint in 2 cases was 65% and 95% of contralateral side respectively, and the range of motion of the ankle joint in 1 case was 90% of contralateral side. The hand function was evaluated as excellent in 2 cases and good in 1 case according to the upper limb function evaluation standard of the Chinese Medical Association Hand Surgery Society, and the foot function was evaluated as excellent in 2 cases and fair in 1 case according to the Maryland foot function score of 93, 91, and 69, respectively. The International Knee Documentation Committee (IKDC) score of 6 knees was 91-99, with an average of 95.2. CONCLUSION The free MFC-FCPF enables precise anatomical joint reconstruction with three-dimensional restoration of tendon, nerve, capsule, and soft tissue defects, effectively restoring joint function and improving quality of life.
Humans ; Male ; Adult ; Female ; Middle Aged ; Retrospective Studies ; Plastic Surgery Procedures/methods* ; Soft Tissue Injuries/surgery* ; Perforator Flap/blood supply* ; Femur/surgery* ; Young Adult ; Foot Joints/injuries* ; Treatment Outcome

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Patients with depression are more likely to have chronic gastrointestinal (GI) symptoms than the general population, but such symptoms are considered only somatic symptoms of depression and lack special attention. There is a chronic lack of appropriate diagnosis and effective treatment for patients with depression accompanied by GI symptoms, and studying the association between depression and GI disorders (GIDs) is extremely important for clinical management. There is growing evidence that depression is closely related to the microbiota present in the GI tract, and the microbiota-gut-brain axis (MGBA) is creating a new perspective on the association between depression and GIDs. Identifying and treating GIDs would provide a key opportunity to prevent episodes of depression and may also improve the outcome of refractory depression. Current studies on depression and the microbially related gut-brain axis (GBA) lack a focus on GI function. In this review, we combine preclinical and clinical evidence to summarize the roles of the microbially regulated GBA in emotions and GI function, and summarize potential therapeutic strategies to provide a reference for the study of the pathomechanism and treatment of depression in combination with GI symptoms.
Humans ; Gastrointestinal Microbiome/physiology* ; Depression/microbiology* ; Gastrointestinal Diseases/physiopathology* ; Brain ; Animals ; Brain-Gut Axis ; Gastrointestinal Tract/microbiology*

Objective To investigate the effects of indirect moxibustion on the expressions of DNA methyltransferases(DNMT)and methylation of the brain-derived neurotrophic factor(BDNF)promoter region in uterine tissues of rats with primary dysmenorrhea(PD);To explore the mechanism of epigenetic regulation of indirect moxibustion on PD model rats.Methods A total of 32 female SD rats were randomly divided into blank group,model group,indirect moxibustion group and Western medicine group,with 8 rats in each group.The PD model with cold dampness stagnation syndrome was established using ice-water baths combined with estradiol benzoate and oxytocin.Starting from the first day of modeling,the indirect moxibustion group received salt-partitioned moxibustion at"Shenque"and ginger-partitioned moxibustion at"Guanyuan"for 20 min,while the Western medicine group was gavaged ibuprofen solution.Both interventions were given once a day for 10 days.On day 11,writhing responses were observed and scored after oxytocin injection,Western blot and RT-qPCR were used to detect protein and mRNA expression of BDNF,DNMT3A and DNMT3B in uterine tissue,immunohistochemical staining was used to detect the positive expressions of DNMT3A and DNMT3B in uterine tissue.The DNA methylation of BDNF promoter region in uterine tissue was detected by sulfite sequencing.Results Compared with the blank group,the writhing latency was shortened and the writhing score increased in the model group(P<0.01);the protein and mRNA expressions of BDNF,DNMT3A and DNMT3B in uterine tissue increased(P<0.01),the positive expressions of DNMT3A and DNMT3B increased(P<0.01),and the DNA methylation rate in BDNF promoter region decreased(P<0.01).Compared with the model group,the writhing latency was lengthened and the writhing score decreased in the indirect moxibustion group and Western medicine group(P<0.05,P<0.01);the protein and mRNA expressions of BDNF,DNMT3A and DNMT3B in uterine tissue decreased(P<0.05,P<0.01),the positive expressions of DNMT3A and DNMT3B decreased(P<0.01),and the DNA methylation rate in BDNF promoter region increased(P<0.01).Conclusion Indirect moxibustion at"Shenque"and"Guanyuan"may inhibit the transcription of BDNF by increasing the DNA methylation level of BDNF promoter region,and reduce the expression of BDNF,so as to relieve the pain of PD rats.

Objectives:To evaluate the impact of hemoglobin concentration on 5-year cardiovascular mortality in patients with hypertrophic obstructive cardiomyopathy(HOCM).Methods:This study retrospectively analyzed 325 non-surgically treated HOCM patients hospitalized at Fuwai Hospital from October 2009 to December 2014.Baseline information was compared between patients with or without cardiac death.The impact of hemoglobin concentration on 5-year cardiovascular mortality in HOCM patients was analyzed.Results:The median follow-up time was(43.55±19.70)months.During the follow-up period,a total of 29 patients(8.9%)experienced cardiac death.Univariate Cox regression analysis demonstrated that hemoglobin concentration was significantly associated with 5-year cardiac mortality in HOCM patients(P<0.001).After adjusting for potential cardiovascular risk factors in multivariate Cox regression analysis,hemoglobin concentration(P=0.011)remained negatively associated with 5-year cardiac mortality in HOCM patient.HOCM patients with decreased hemoglobin level faced a 3.118-fold increase in 5-year cardiac mortality(HR=4.118,95%CI:1.114-14.822,P=0.030).Kaplan-Meier survival analysis showed that HOCM patients with decreased hemoglobin levels had a significantly higher risk of 5-year cardiac mortality(log-rank test,χ2=24.38,P<0.001).Conclusions:Lower hemoglobin concentration is an independent risk factor for 5-year cardiac mortality in patients with HOCM.Compared to patients with normal hemoglobin levels,HOCM patients with decreased hemoglobin level face a 3-fold increase in 5-year cardiac mortality.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.