Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective:To analyze the correlation between mental health status and metabolic syndrome (MetS) in health checkup people.Methods:It was a cross-sectional study, 2 920 participants who received health checkup in the Health Examination Center of Peking University Third Hospital from January 2019 to December 2023 were selected using cluster sampling method. Their general information, physical examination, biochemical indicators, body composition, and self-evaluation scores on the Symptom Checklist-90 (SCL-90) were collected. According to the inclusion and exclusion criteria, a total of 2 813 study subjects were included, and divided into the MetS group and the non-MetS group based on whether they had MetS. The differences in general demographic information, body composition, blood biochemistry, and SCL-90 scores between the two groups were compared. Binary Logistic regression analysis was used to explore the correlation between mental health status and MetS.Results:Of the 2 813 subjects included, 1 576 were males (56.0%) and 1 237 were females (44.0%), with an average age of (41.7±11.0) years, the MetS group had 586 cases (20.8%) and the non-MetS group had 2 227 cases (79.2%). The MetS group had higher levels of age, body mass index, waist circumference, systolic blood pressure, diastolic blood pressure, total cholesterol, triglycerides, low density lipoprotein cholesterol (LDL-C), fasting blood glucose, glycosylated hemoglobin (HbA 1c), free thyroxine(FT4), total triiodothyronine (TT3), free triiodothyronine (FT3), waist-to-hip ratio, visceral fat area, body fat percentage, uric acid/creatinine, homocysteine (Hcy), aspartate aminotransferases (AST), and alanine transaminase (ALT) levels, as well as higher scores for somatization, hostility, paranoia, and other factor compared to the non-MetS group (all P<0.05), while high density lipoprotein cholesterol (HDL-C) and estimated glomerular filtration rate (eGFR) levels were lower than those in the non-MetS group (all P<0.05). The proportion of male, and the positive rates of SCL-90, somatization, interpersonal sensitivity, hostility, paranoia and other factor in the MetS group were higher than those in the non-MetS group (all P<0.05). Multifactorial analysis showed that individuals with a positive SCL-90 assessment had a 1.34 times higher risk of MetS than those with a negative assessment ( OR=1.34, 95% CI: 1.06-1.68; P=0.014). Among them, individuals with positive somatization ( OR=2.02, 95% CI: 1.25-3.28; P=0.004) and hostility ( OR=1.61, 95% CI: 1.02-2.56; P=0.042) had increased risk of MetS. Conclusion:Poor mental health status increases the risk of MetS.

Objective:To development a deep learning（DL） model based on conventional MRI for automatic segmentation and differential diagnosis of nasopharyngeal carcinoma（NPC） and nasopharyngeal lymphoma（NPL）. Methods:The retrospective study included 142 patients with NPL and 292 patients with NPC who underwent conventional MRI at Renmin Hospital of Wuhan University from June 2012 to February 2023. MRI from 80 patients were manually segmented to train the segmentation model. The automatically segmented regions of interest（ROIs） formed four datasets: T1 weighted images（T1WI）, T2 weighted images（T2WI）, T1 weighted contrast-enhanced images（T1CE）, and a combination of T1WI and T2WI. The ImageNet-pretrained ResNet101 model was fine-tuned for the classification task. Statistical analysis was conducted using SPSS 22.0. The Dice coefficient loss was used to evaluate performance of segmentation task. Diagnostic performance was assessed using receiver operating characteristic（ROC） curves. Gradient-weighted class activation mapping（Grad-CAM） was imported to visualize the model's function. Results:The DICE score of the segmentation model reached 0.876 in the testing set. The AUC values of classification models in testing set were as follows: T1WI: 0.78（95%CI 0.67-0.81）, T2WI: 0.75（95%CI 0.72-0.86）, T1CE: 0.84（95%CI 0.76-0.87）, and T1WI+T2WI: 0.93（95%CI 0.85-0.94）. The AUC values for the two clinicians were 0.77（95%CI 0.72-0.82） for the junior, and 0.84（95%CI 0.80-0.89） for the senior. Grad-CAM analysis revealed that the central region of the tumor was highly correlated with the model's classification decisions, while the correlation was lower in the peripheral regions. Conclusion:The deep learning model performed well in differentiating NPC from NPL based on conventional MRI. The T1WI+T2WI combination model exhibited the best performance. The model can assist in the early diagnosis of NPC and NPL, facilitating timely and standardized treatment, which may improve patient prognosis.
Humans ; Nasopharyngeal Carcinoma/diagnostic imaging* ; Deep Learning ; Magnetic Resonance Imaging ; Retrospective Studies ; Nasopharyngeal Neoplasms/diagnostic imaging* ; Lymphoma/diagnostic imaging* ; Diagnosis, Differential ; ROC Curve ; Male ; Female ; Middle Aged ; Adult

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective:To analyze the correlation between mental health status and metabolic syndrome (MetS) in health checkup people.Methods:It was a cross-sectional study, 2 920 participants who received health checkup in the Health Examination Center of Peking University Third Hospital from January 2019 to December 2023 were selected using cluster sampling method. Their general information, physical examination, biochemical indicators, body composition, and self-evaluation scores on the Symptom Checklist-90 (SCL-90) were collected. According to the inclusion and exclusion criteria, a total of 2 813 study subjects were included, and divided into the MetS group and the non-MetS group based on whether they had MetS. The differences in general demographic information, body composition, blood biochemistry, and SCL-90 scores between the two groups were compared. Binary Logistic regression analysis was used to explore the correlation between mental health status and MetS.Results:Of the 2 813 subjects included, 1 576 were males (56.0%) and 1 237 were females (44.0%), with an average age of (41.7±11.0) years, the MetS group had 586 cases (20.8%) and the non-MetS group had 2 227 cases (79.2%). The MetS group had higher levels of age, body mass index, waist circumference, systolic blood pressure, diastolic blood pressure, total cholesterol, triglycerides, low density lipoprotein cholesterol (LDL-C), fasting blood glucose, glycosylated hemoglobin (HbA 1c), free thyroxine(FT4), total triiodothyronine (TT3), free triiodothyronine (FT3), waist-to-hip ratio, visceral fat area, body fat percentage, uric acid/creatinine, homocysteine (Hcy), aspartate aminotransferases (AST), and alanine transaminase (ALT) levels, as well as higher scores for somatization, hostility, paranoia, and other factor compared to the non-MetS group (all P<0.05), while high density lipoprotein cholesterol (HDL-C) and estimated glomerular filtration rate (eGFR) levels were lower than those in the non-MetS group (all P<0.05). The proportion of male, and the positive rates of SCL-90, somatization, interpersonal sensitivity, hostility, paranoia and other factor in the MetS group were higher than those in the non-MetS group (all P<0.05). Multifactorial analysis showed that individuals with a positive SCL-90 assessment had a 1.34 times higher risk of MetS than those with a negative assessment ( OR=1.34, 95% CI: 1.06-1.68; P=0.014). Among them, individuals with positive somatization ( OR=2.02, 95% CI: 1.25-3.28; P=0.004) and hostility ( OR=1.61, 95% CI: 1.02-2.56; P=0.042) had increased risk of MetS. Conclusion:Poor mental health status increases the risk of MetS.

Objective:To develop a homogeneous management evaluation system for clinical observership teaching under the background of national first-class discipline construction.Methods:The preliminary contents of the assessment system were determined through a literature review and expert interviews, and two rounds of questionnaire-based consultation was conducted with 20 experts using the Delphi method. With the use of Excel 2016 and SPSS 26.0, we calculated the coefficient of judgement basis (Ca), the coefficient of familiarity (Cs), the coefficient of authority (Cr), and Kendall's coefficient of concordance ( W ) as well as the mean, standard deviation, and coefficient of variation of all parameters, to identify the specific items and weights for the homogeneous management evaluation system for clinical observership teaching under the background of national first-class discipline construction. Results:In the two rounds of consultation, experts were both 100.00% active in responding to the questionnaires; the coefficients of authority of experts were 0.889 and 0.935, respectively; the coefficients of familiarity were 0.856 and 0.936, respectively; the coefficients of judgment were 0.922 and 0.934, respectively; and Kendall's coefficients of concordance were 0.476 and 0.563, respectively. Finally, 7 first-level items and 21 second-level items were included in the content framework of the homogeneous management evaluation system.Conclusions:The construction process of the homogeneous management evaluation system of clinical observership teaching is complete and reliable, which can provide a reference for the homogeneous management of clinical observership teaching, but further verification and improvement are needed.

Objective:To explore the correlation between grip strength promotion and improvement of body composition and metabolic disorders in health examination population of different genders.Methods:In this retrospective cohort study, clinical data of 600 people who received health examination and grip strength check-up two times or more in the Medical Examination Center of Peking University Third Hospital from January 2018 to November 2022 were selected. The general data, physical examination, biochemical parameters, body composition and grip strength results were collected. After the first physical examination, the grip strength test was conducted, appropriate resistance strength exercises were given based on individual evaluation results. A health lecture was held, and the information related to health exercise was pushed through WeChat official account every week. The grip strength test was completed at the same time at the second physical examination, and the difference between the two test results was calculated before and after the second physical examination. The generalized estimation equation was used to analyze the correlation between the improvement of grip strength and the improvement of body composition and metabolic disorders in different gender health-check population.Results:In man and women, the body mass index [(25.50±3.66) vs (25.33±3.74) kg/m 2, (22.41±3.55) vs (22.25±3.46) kg/m 2] and grip strength [(42.71±7.30) vs (41.77±7.36) kg, (25.28±5.30) vs (23.98±4.87) kg] at the second health check-up were all significantly higher than those at the first time, and the diastolic blood pressure [(72.79±10.30) vs (74.47±9.85) mmHg (1 mmHg=0.133 kPa), (66.93±8.90) vs (68.92±9.42) mmHg] and serum homocysteine [(17.96±14.09) vs (19.27±14.26) μmol/L, (9.47±3.91) vs (10.26±3.90) μmol/L] were all significantly lower than those at the first time (all P<0.05). Among man, the low-density lipoprotein cholesterol (LDL-C) at the second physical examination was significantly lower than that at the first time [(2.94±0.78) vs (3.00±0.69) mmol/L] (all P<0.05). Among women, the systolic blood pressure and uric acid at the second health check-up were both significantly lower than those at the first time [(109.34±12.85) vs (110.54±12.32) mmHg, (276.91±62.46) vs (287.16±68.78) μmol/L], and the waist-hip ratio was significant higher (85.8%±5.1% vs 85.4%±5.0%) (all P<0.05). In males, the decreased aspartate aminotransferase ( OR=0.932, 95% CI: 0.888-0.978) and the increased skeletal muscle index ( OR=75.370, 95% CI: 29.012-195.806) were both positively correlated with the elevation of grip strength (all P<0.05); and in females, the decreased homocysteine ( OR=0.876, 95% CI: 0.782-0.982) and glycosylated hemoglobin ( OR=0.423, 95% CI: 0.222-0.805) and increased skeletal muscle index ( OR=22.918, 95% CI: 11.114-47.256) were all positively correlated with the elevation of grip strength (all P<0.05). Conclusion:There is a positive correlation between the improvement of grip strength and the improvement trend of body composition and metabolic disorders in in health examination population of different genders.

Objective:To evaluate the value of CEA, CYFRA21-1 and CA125 tests in opportunistic screening of non-small cell lung cancer (NSCLC) based on meta-analysis.Methods:The original research literatures on the diagnostic value of CEA, CYFRA21-1 and CA125 in Chinese NSCLC patients were searched from databases of PubMed, Embase, The Cochrane Library, CNKI, VIP, Database and Wanfang database from establishment to June 2023. The literature screening, data extraction and quality evaluation were carried out independently by two researchers. The quality evaluation tool of diagnostic accuracy studies was used to evaluate the quality of the literature. A summary receiver operating characteristic (SROC) curve was used to assess the overall effectiveness of the tests. The outcome stability and publication bias were detected by using sensitivity analysis and Deeks′ test.Results:A total of 23 studies met the inclusion and exclusion criteria were included. The results of meta-analysis showed that the overall sensitivity of CEA, CYFRA21-1 and CA125 alone in the diagnosis of NSCLC was relatively low, it was 0.49(95% CI: 0.43-0.55), 0.56(95% CI: 0.49-0.63) and 0.41(95% CI: 0.33-0.49), respectively. The overall sensitivity of the combined detection of the three markers for the diagnosis of NSCLC increased to 0.83(95% CI: 0.69-0.91), but the overall specificity decreased to 0.76(95% CI: 0.69-0.83). Conclusions:The single detection of CEA, CYFRA21-1 and CA125 is not recommended for screening NSCLC in population receiving physical examination. Although the sensitivity of the combined detection of CEA, CYFRA21-1 and CA125 for screening NSCLC is improved, but the specificity is decreased, the misdiagnosis rate is increased, so the screening effect is limited.

Objective:To explore the association of gait speed and cognitive function of the community-dwelling elderly.Methods:From March to December 2021, a total of 1 172 Xinxiang community-dwelling elderly people were investigated by general information questionnaire, mini-mental state examination(MMSE), patient health questionnaire depression scale and 4.6 m gait test. The elderly were divided into five groups based on the quintile grouping of gait speed values, with Q1 group (≤0.76 m/s), Q2 group (0.77-0.88 m/s), Q3 group (0.89-0.98 m/s), Q4 group (0.99-1.11 m/s) and Q5 group (≥1.12 m/s). SPSS 25.0 statistical software was used for descriptive statistics, and binary Logistic regression was used to analyze the influence of gait speed and depression on cognitive impairment of the elderly.Results:The gait speed of community-dwelling elderly people was (0.92±0.22) m/s. The scores of MMSE in Q1-Q5 groups were (24.72±3.67), (26.63±2.90), (26.58±2.66), (27.01±2.45) and (27.18±2.35), respectively, and the cognitive function was significantly different among the five gait speed groups( F=27.92, P<0.05). The results of binary Logistics regression showed that compared with Q1 group, the OR value (95% CI) of cognitive impairment in Q2-Q5 group were 0.475 (0.253-0.893), 0.426 (0.219-0.828), 0.421(0.212-0.826) and 0.371(0.179-0.766), respectively, which indicated that fast walking speed was a protective factor for cognitive function. Old age ( OR=1.096, 95% CI=1.053-1.140) and depression ( OR=14.441, 95% CI=12.670-19.829) were risk factors of cognitive impairment. Conclusion:The gait speed is associated with cognitive function among community-dwelling elderly people, and faster gait speed is a protective factor for cognitive function.