Search

Background: University students are a vulnerable population prone to mental health challenges. This study aimed to investigate depression and its associated factors among university students in terms of demographics, eating habits, and exercises., Methods: A total of 2891 university students from three universities participated in this study between January 2024 and February 2024. An online survey questionnaire was distributed using a snow-ball strategy. The survey collected demographic, lifestyle, and psychological data, including depression and anxiety scores using the PHQ-9 and GAD-7 screening tools. Subgroup analysis was conducted according to sport frequency and sport type using Chi-square test for qualitative data and t -test for quantitative data. Multiple linear regression analysis was performed to identify risk factors for depression., Results: A total of 44.2% and 39.5% of the participants reported symptoms of depression and anxiety, respectively. Significant differences were observed in various characteristics across different sport frequency groups, with participants with higher sport frequency tending to have less depression (P<0.001) and anxiety (P<0.001) symptoms. As the frequency of weekly exercise increased, anxiety and depression scores gradually decreased. The mean PHQ-9 and GAD-7 scores were highest in the group with no sports and lowest in the group with a sport frequency of 3-4 times per week (P<0.001). Additionally, once exercise frequency reached 5 times per week or more, anxiety and depression scores no longer decreased. Subgroup analysis based on sport type revealed that participants engaging in specific sports, such as basketball, tennis, dance, and running, had lower depression (P<0.001) and anxiety (P<0.001) scores compared to the overall average. Based on multiple linear regression analysis, married status (P=0.036), enjoying barbecue food (P<0.001), prolonged sedentary time (P=0.001), experiencing stress events (P<0.001), and electronic device usage time (P<0.001) were positively associated with depression scores, while loving eating vegetables (P=0.007), a relatively longer sport time (P=0.005), a higher exercise frequency (P=0.064), and no chronic disease (P<0.001) were negatively associated with depression scores., Conclusion: This study highlights the importance of a healthy lifestyle, including regular exercise, limited exposure to electronic screens, and a balanced diet, in preventing and mitigating depression among university students. This study also suggests that exercising 3-4 times a week is associated with the lowest levels of anxiety and depression. Activities such as basketball, tennis, dance, and running are effective in alleviating these mental health issues through regular exercise., Competing Interests: The authors declare that they have no conflict of interest., (© 2024 Zheng et al.)

Background: Sleep problems are prevalent among university students, yet there is a lack of effective models to assess the risk of sleep disturbance. Artificial intelligence (AI) provides an opportunity to develop a platform for evaluating the risk. This study aims to develop and validate an AI platform to stratify the risk of experiencing sleep disturbance for university students., Methods: A total of 2243 university students were included, with 1882 students from five universities comprising the model derivation group and 361 students from two additional universities forming the external validation group. Six machine learning techniques, including extreme gradient boosting machine (eXGBM), decision tree (DT), k-nearest neighbor (KNN), random forest (RF), neural network (NN), and support vector machine (SVM), were employed to train models using the same set of features. The models' prediction performance was assessed based on discrimination and calibration, and feature importance was determined using Shapley Additive exPlanations (SHAP) analysis., Results: The prevalence of sleep disturbance was 44.69% in the model derivation group and 49.58% in the external validation group. Among the developed models, eXGBM exhibited superior performance, surpassing other models in metrics such as area under the curve (0.779, 95% CI: 0.728-0.830), accuracy (0.710), precision (0.737), F1 score (0.692), Brier score (0.193), and log loss (0.569). Calibration and decision curve analyses demonstrated favorable calibration ability and clinical net benefits, respectively. SHAP analysis identified five key features: stress score, severity of depression, vegetable consumption, age, and sedentary time. The AI platform was made available online at https://sleepdisturbancestudents-xakgzwectsw85cagdgkax9.streamlit.app/, enabling users to calculate individualized risk of sleep disturbance., Conclusion: Sleep disturbance is prevalent among university students. This study presents an AI model capable of identifying students at high risk for sleep disturbance. The AI platform offers a valuable resource to guide interventions and improve sleep outcomes for university students., Competing Interests: The authors declare that they have no conflicts of interest in this work., (© 2024 Zhang et al.)

Purpose: This study aimed to assess the risk variables for predicting intra-spinal canal cement leakage, especially among elderly patients with spine metastases after being treated with percutaneous vertebroplasty (PVP). Furthermore, we proposed and validated a nomogram to stratify risks of intra-spinal canal cement leakage., Methods: We retrospectively analyzed 163 elderly patients (age ≧65 years) with spine metastases who underwent PVP. Patients were randomly divided into a training cohort (n=100) and a validation cohort (n=63). The multivariate logistic regression analysis was used to screen potential risk variables in the training cohort. Significant risk variables were included in the nomogram, and the nomogram was developed according to the estimates of the each included variable. The predictive effectiveness of the nomogram was validated using discrimination and calibration performance., Results: The overall prevalence of intra-spinal canal cement leakage was 9.82% (16/163). In the training cohort, female patients (14.71%, 5/34) showed a higher rate of intra-spinal canal cement leakage as compared with male patients (4.55%, 3/66). The nomogram consisted of sex, cortical osteolytic destruction in posterior wall, and load-bearing lines of spine. The nomogram had acceptable discrimination, with the area under the receiver operating characteristic (AUROC) of 0.75 in the training cohort, 0.64 in the validation cohort, and 0.69 in the entire cohort, and also showed favorable calibration based on the goodness-of-fit test. According to the nomogram, three risk groups were developed: the low risk group had an actual probability of 7.03%, the medium risk group was 11.54%, and high risk group was 44.44%. The difference between the three groups was significant (P ˂ 0.01)., Conclusion: Intra-spinal canal cement leakage after PVP is not scarce among elderly patients. We proposed and internally validated a nomogram that is capable of calculating the risk of intra-spinal canal cement leakage among elderly patients with spine metastases. Careful surgical plan should be conducted among patients with a high risk of developing intra-spinal canal cement leakage., Competing Interests: The authors declare that they have no conflict of interest., (© 2021 Shi et al.)

Purpose: The aim of this study was to assess whether passive smoking affects clinical outcomes among female patients with knee osteoarthritis after being treated with total knee arthroplasty (TKA)., Methods: The study prospectively enrolled 216 female patients who did not smoke and those patients were classified into three groups in terms of the severity of exposure to environmental tobacco smoke. A three-month follow-up was conducted to assess the physical and mental outcomes between the three groups. The physical outcomes were evaluated by the visual analogue score (VAS), range of motion (ROM), hospital for special surgery (HSS) knee score, and postoperative complications. The mental outcomes were assessed by the anxiety and depression scale (HADS) and medical outcome study short form 36 (SF-36). Subgroup analysis of patients with and without surgical site infection (SSI) was also calculated., Results: Baseline characteristics were similarly distributed between the three groups (P>0.05). Patients in the heavy passive smoking group had a higher VAS and a lower ROM score as compared with patients in the no and mild passive smoking group at discharge (P<0.01), 1 month (P<0.01), and 3 months (P<0.01) after surgery. Patients in the heavy passive smoking group also had a higher rate of HADS more than 8 at postoperative 1 month (P=0.01) and 3 months (P=0.03) and lower SF-36 summary (P<0.01) and HSS score (P<0.01) at postoperative 3 months. Forty-five postoperative complication events were observed during follow-up. Patients in the heavy passive smoking group (8.51%) had the highest SSI rate, followed by patients in the mild (1.82%) and no passive smoking group (0.88%) at discharge (P=0.02) and postoperative 1 month (P=0.03)., Conclusion: Passive smoking negatively affects TKA among female patients. It may trigger poor pain and functional outcomes, aggravate depression and anxiety, and deteriorate quality of life after discharge from hospital. Avoiding exposure to smoking environment may be beneficial among TKA female patients before and after surgery., Competing Interests: The authors declare that they have no conflict of interest., (© 2021 An et al.)

Purpose: The study aims to investigate and compare the efficacy and safety of intraoperative 125 I implantation and postoperative irradiation after surgical decompression and stabilization in the treatment of patients with metastatic epidural spinal cord compression (MESCC)., Methods: The study retrospectively enrolled 122 MESCC patients treated with surgical decompression and pedicle stabilization combined with 125 I brachytherapy (the brachytherapy group) or postoperative radiotherapy (the irradiation group). Operation time, intraoperative blood loss, pain relief, postoperative ambulatory status, postoperative survival outcome, complications, and length of hospitalization were collected and compared between the two groups. Ten potential risk factors were analyzed for postoperative survival outcome., Results: No significant difference was found in baseline characteristics between the two groups (P>0.05). Postoperative VAS score was significantly decreased, as compared with preoperative scores in both groups (P˂0.001). The VAS in the brachytherapy group was significantly lower than that in the irradiation group at postoperative 1 month, 3 months, and 6 months (P˂0.05). The postoperative ambulatory rates were 90.0% (54/60) in the brachytherapy group and 83.9% (52/62) in the irradiation group (P=0.32). The median overall survival time was similar between the two groups (7.43 months vs 7.27 months, P=0.37). Of all patients in the brachytherapy group, 25.0% (15/60) of patients suffered from complications, while 46.8% (29/62) of patients had complications in the irradiation group (P=0.0086). According to the multiple Cox regression, primary sites (P=0.038), ECOG performance status (P=0.014), and visceral metastases (P=0.0016) showed significance for postoperative survival outcome., Conclusion: Surgical decompression and spine stabilization combined with 125 I brachytherapy is a relatively safe and useful method in MESCC patients., Competing Interests: The authors report no conflicts of interest for this work., (© 2020 Shi et al.)

Purpose: We wish (1) to assess what variables are significantly associated with postoperative emotional distress in patients with the metastatic spinal disease after surgery and (2) to develop and validate an algorithm to stratify patients at risk of postoperative emotional distress., Patients and Methods: We retrospectively enrolled 171 patients with the metastatic spinal disease treated with surgery. Twelve potential variables were used to analyze postoperative emotional distress. Postoperative emotional well-being was measured using the Hospital Anxiety and Depression Scales (HADS). Significant variables were included in the algorithm and assigned scores based on odds ratios (ORs) from the multiple logistic regression analysis. The predictive performance of the risk algorithm was validated on the basis of discrimination and calibration., Results: Twenty-six (15.20%) patients had a HADS of 19 points or more. Of all the 12 variables, age (P=0.06), marital status (P=0.02), primary cancer types (P=0.004), and physical well-being (P=0.006) were included in the algorithm. This algorithm ranged from 0 to 24. Higher scores represented higher rates of postoperative emotional distress. Patients were stratified into three risk groups: patients in the group A had scores of 0 to 9 and the rate of postoperative emotional distress was only 1.14%, patient in the group B had scores of 10 to 15 and the rate of postoperative emotional distress was 21.31%, and patient in the group C had scores of 16 to 24 and the rate of postoperative emotional distress was up to 54.55%. The area under the receiver operating characteristic curve (AUROC) for the algorithm was 0.84, and the correct classification rate was 81.3%., Conclusion: Postoperative emotional distress is common in patients with the metastatic spinal disease after surgery. We propose and validate an algorithm that can be used as a potential screening tool to identify patients at high risk of postoperative emotional distress., Competing Interests: The authors declare that they have no conflict of interest for this work., (© 2020 Zheng et al.)

Purpose: This study aims to develop an algorithm to predict cement injection volumes in patients with spine metastases treated with percutaneous vertebroplasty (PVP). Risk factors were also analyzed for intra-spinal canal cement leakages., Patients and Methods: A retrospective analysis of 584 vertebrae in 251 patients. Patients and vertebrae were divided into three groups based on grades of tumor invasion to the spinal cord. Patients with the complete posterior wall of vertebrae were classified into group A, patients without the complete posterior wall of vertebrae but with normal Dural sac were classified into group B, and patients with deformation of the Dural sac but without neurological symptom were classified into group C. We systematically reviewed demographic data, clinical parameters, radiology features, and cement leakages among the three groups. The multiple linear regressions were used to screen potential risk factors and develop the algorithm to predict injected cement volumes in vertebrae. Significant factors were included in the algorithm. Potential risk factors for intra-spinal canal cement leakage were analyzed using the multiple logistic regressions., Results: In the study, 17.1% (100/584) of vertebrae occurred cement leakages. Vertebrae in group C (28.6%, 8/28) had the highest cement leakage rate than patients in group A (14.4%, 61/424) and B (23.5%, 31/132) (P=0.014). Vertebrae in group C (14.3%, 4/28) were also more prone to intra-spinal canal leakages (P=0.003). The multiple logistic analysis showed that the Bilsky scale was significantly associated with intra-spinal canal cement leakages (P<0.001). The multiple linear regression analysis showed that intercept (P<0.001), treated vertebrae level (P<0.001), cortical osteolytic destruction in posterior wall (P<0.001), and Bilsky scale (P=0.014) were significant and those variables were included in the algorithm. The algorithm was Y=3.1627－0.8677×treated vertebrae level－0.6182×cortical osteolytic destruction in the posterior wall－0.2819×Bilsky scale., Conclusion: An algorithm is proposed and can be used to calculate cement injection volumes in spine metastases treated with PVP. This algorithm can facilitate surgical planning and guide cement injections. Bilsky scale is an independent risk factor for intra-spinal canal cement leakages. We do not recommend PVP treated in patients with a Bilsky scale of 2 and 3 mainly due to a high rate of intra-spinal canal cement leakages., Competing Interests: The authors report no conflicts of interest in this work., (© 2020 Cui et al.)

Purpose: The aim of this study was to investigate the clinical results of surgery for cervical spine metastasis and identify clinical risk factors affecting postoperative survival and neurological outcome., Patients and Methods: A retrospective analysis of medical records was performed on 19 patients who had undergone decompressive surgery and spine stabilization due to metastatic spinal cord compression in the cervical spine. All patients had severe pain before surgery. Worst pain, average pain, and pain interference were evaluated using the visual analog scale (range, 0-10) for each patient at baseline and following surgery. Neurological recovery was assessed using the Japanese Orthopaedic Association Score (JOAS). In addition, associations between ten characteristics and postoperative survival and neurological outcomes were analyzed in the study., Results: The mean worst pain score in a 24-hour period was 8.6 before the operation. At 1 day, 1, 3, 6, and 12 months after the operation, the mean worst pain scores decreased to 5.6, 4.5, 3.8, 2.6, and 2.4 (all P <0.001 vs baseline), respectively. Similar decreases in average pain and pain interference were also observed. The median JOAS in a 24-hour period was 11.0 before the operation. At 1 day, 1, 3, 6, and 12 months after the operation, the median JOAS increased to 12.0 ( P =0.469), 13.0 ( P =0.010), 14.0 ( P <0.001), 15.0 ( P <0.001), and 14.0 ( P <0.001), respectively. According to the multivariate analysis, postoperative survival was significantly associated with the type of primary tumor ( P =0.033), preoperative ambulatory status ( P =0.004), extra-spinal bone metastasis ( P =0.021), 125 I seed brachytherapy ( P =0.014), and complication status ( P =0.009). Better neurological outcome was found to be correlated with higher JOAS ( P =0.013). Surgery-related complications occurred in 26.3% of patients., Conclusion: Posterior decompression and spine stabilization for painful cervical spine metastasis resulting from spinal cord compression were found to be effective for neurological recovery and pain control with a tolerable rate of complications., Competing Interests: Disclosure The authors report no conflicts of interest in this work.